質問編集履歴
5
プログラムの修正
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raspberry pi で環境センサーを使っています。enviro+というセンサーを利用して以下のプログラムを実行します。その際、24時間のデータを収集したいと思っております。すべてのデータを自動でファイルに出力させることができればと願っています。ターミナル上では１０分ほどしか記録が残らないため、ターミナルからコピーすることができません。
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実行結果のファイルへの記録の方法を教えていただけますでしょうか。どうぞ宜しくお願い致します。
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```python3
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コード
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```python
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!/usr/bin/env python3
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#!/usr/bin/env python3
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import time
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from bme280 import BME280
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プログラムの修正
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2
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実行結果のファイルへの記録の方法を教えていただけますでしょうか。どうぞ宜しくお願い致します。
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```python3
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コード
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```python
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!/usr/bin/env python3
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import time
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Pressure: {:05.2f} hPa
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Relative humidity: {:05.2f} %
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""".format(temperature, pressure, humidity))
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time.sleep(1)
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time.sleep(1)
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```
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!/usr/bin/env python3
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import time
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import colorsys
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import sys
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import
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from bme280 import BME280
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11
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try:
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Transitional fix for breaking change in LTR559
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from
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from smbus2 import SMBus
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ltr559 = LTR559()
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except ImportError:
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import
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from smbus import SMBus
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14
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from bme280 import BME280
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from pms5003 import PMS5003, ReadTimeoutError as pmsReadTimeoutError, SerialTimeoutError
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from enviroplus import gas
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from subprocess import PIPE, Popen
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from PIL import Image
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from PIL import ImageDraw
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from PIL import ImageFont
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from fonts.ttf import RobotoMedium as UserFont
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import logging
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logging.basicConfig(
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level=logging.INFO,
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datefmt='%Y-%m-%d %H:%M:%S')
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logging.info("""
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logging.info("""weather.py - Print readings from the BME280 weather sensor.
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Press Ctrl+C to exit!
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""")
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BME280 temperature/pressure/humidity sensor
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bme280 = BME280()
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PMS5003 particulate sensor
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-
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bus = SMBus(1)
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-
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bme280 = BME280(i2c_dev=bus)
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30
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Create ST7735 LCD display class
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st7735 = ST7735.ST7735(
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port=0,
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cs=1,
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dc=9,
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backlight=12,
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rotation=270,
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spi_speed_hz=10000000
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)
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Initialize display
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st7735.begin()
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WIDTH = st7735.width
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HEIGHT = st7735.height
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Set up canvas and font
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img = Image.new('RGB', (WIDTH, HEIGHT), color=(0, 0, 0))
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draw = ImageDraw.Draw(img)
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font_size_small = 10
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font_size_large = 20
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font = ImageFont.truetype(UserFont, font_size_large)
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smallfont = ImageFont.truetype(UserFont, font_size_small)
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x_offset = 2
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y_offset = 2
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message = ""
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The position of the top bar
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top_pos = 25
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Create a values dict to store the data
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variables = ["temperature",
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"pressure",
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"humidity",
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"light",
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"oxidised",
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"reduced",
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"nh3",
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"pm1",
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"pm25",
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"pm10"]
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units = ["C",
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"hPa",
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"%",
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"Lux",
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"kO",
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"kO",
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"kO",
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"ug/m3",
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"ug/m3",
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"ug/m3"]
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Define your own warning limits
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The limits definition follows the order of the variables array
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Example limits explanation for temperature:
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[4,18,28,35] means
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[-273.15 .. 4] -> Dangerously Low
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(4 .. 18] -> Low
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(18 .. 28] -> Normal
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(28 .. 35] -> High
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(35 .. MAX] -> Dangerously High
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DISCLAIMER: The limits provided here are just examples and come
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with NO WARRANTY. The authors of this example code claim
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NO RESPONSIBILITY if reliance on the following values or this
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code in general leads to ANY DAMAGES or DEATH.
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limits = [[4, 18, 28, 35],
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[250, 650, 1013.25, 1015],
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[20, 30, 60, 70],
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[-1, -1, 30000, 100000],
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[-1, -1, 40, 50],
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[-1, -1, 450, 550],
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[-1, -1, 200, 300],
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[-1, -1, 50, 100],
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[-1, -1, 50, 100],
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[-1, -1, 50, 100]]
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RGB palette for values on the combined screen
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palette = [(0, 0, 255), # Dangerously Low
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(0, 255, 255), # Low
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(0, 255, 0), # Normal
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(255, 255, 0), # High
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(255, 0, 0)] # Dangerously High
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values = {}
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Get the temperature of the CPU for compensation
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def get_cpu_temperature():
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process = Popen(['vcgencmd', 'measure_temp'], stdout=PIPE, universal_newlines=True)
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output, _error = process.communicate()
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return float(output[output.index('=') + 1:output.rindex("'")])
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def main():
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Tuning factor for compensation. Decrease this number to adjust the
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temperature down, and increase to adjust up
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factor = 2.25
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cpu_temps = [get_cpu_temperature()] * 5
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delay = 0.5 # Debounce the proximity tap
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mode = 10 # The starting mode
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last_page = 0
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for v in variables:
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values[v] = [1] * WIDTH
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The main loop
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try:
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while True:
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proximity = ltr559.get_proximity()
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If the proximity crosses the threshold, toggle the mode
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if proximity > 1500 and time.time() - last_page > delay:
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mode += 1
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mode %= (len(variables) + 1)
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last_page = time.time()
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One mode for each variable
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if mode == 0:
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variable = "temperature"
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unit = "C"
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cpu_temp = get_cpu_temperature()
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Smooth out with some averaging to decrease jitter
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cpu_temps = cpu_temps[1:] + [cpu_temp]
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avg_cpu_temp = sum(cpu_temps) / float(len(cpu_temps))
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temperature = bme280.get_temperature()
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data = raw_temp - ((avg_cpu_temp - raw_temp) / factor)
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display_text(variables[mode], data, unit)
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if mode == 1:
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variable = "pressure"
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unit = "hPa"
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data = bme280.get_pressure()
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display_text(variables[mode], data, unit)
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if mode == 2:
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variable = "humidity"
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unit = "%"
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data = bme280.get_humidity()
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display_text(variables[mode], data, unit)
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if mode == 3:
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variable = "light"
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unit = "Lux"
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if proximity < 10:
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data = ltr559.get_lux()
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else:
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data = 1
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display_text(variables[mode], data, unit)
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if mode == 4:
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variable = "oxidised"
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unit = "kO"
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data = gas.read_all()
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data = data.oxidising / 1000
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display_text(variables[mode], data, unit)
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if mode == 5:
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variable = "reduced"
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unit = "kO"
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data = gas.read_all()
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data = data.reducing / 1000
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display_text(variables[mode], data, unit)
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if mode == 6:
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variable = "nh3"
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unit = "kO"
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data = gas.read_all()
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data = data.nh3 / 1000
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display_text(variables[mode], data, unit)
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if mode == 7:
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variable = "pm1"
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unit = "ug/m3"
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try:
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data = pms5003.read()
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except pmsReadTimeoutError:
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logging.warning("Failed to read PMS5003")
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else:
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data = float(data.pm_ug_per_m3(1.0))
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display_text(variables[mode], data, unit)
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if mode == 8:
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variable = "pm25"
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unit = "ug/m3"
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235
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try:
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data = pms5003.read()
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237
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except pmsReadTimeoutError:
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238
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logging.warning("Failed to read PMS5003")
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239
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else:
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240
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data = float(data.pm_ug_per_m3(2.5))
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display_text(variables[mode], data, unit)
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243
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if mode == 9:
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variable = "pm10"
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245
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unit = "ug/m3"
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246
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try:
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data = pms5003.read()
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248
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except pmsReadTimeoutError:
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249
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logging.warning("Failed to read PMS5003")
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250
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else:
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251
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data = float(data.pm_ug_per_m3(10))
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display_text(variables[mode], data, unit)
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if mode == 10:
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254
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Everything on one screen
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255
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cpu_temp = get_cpu_temperature()
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256
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Smooth out with some averaging to decrease jitter
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257
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cpu_temps = cpu_temps[1:] + [cpu_temp]
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258
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avg_cpu_temp = sum(cpu_temps) / float(len(cpu_temps))
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259
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raw_temp = bme280.get_temperature()
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260
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raw_data = raw_temp - ((avg_cpu_temp - raw_temp) / factor)
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261
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save_data(0, raw_data)
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262
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display_everything()
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263
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33
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pressure = bme280.get_pressure()
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264
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save_data(1, raw_data)
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265
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display_everything()
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266
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34
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humidity = bme280.get_humidity()
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267
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save_data(2, raw_data)
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268
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if proximity < 10:
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269
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raw_data = ltr559.get_lux()
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270
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else:
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271
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raw_data = 1
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272
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save_data(3, raw_data)
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273
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display_everything()
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274
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gas_data = gas.read_all()
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275
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save_data(4, gas_data.oxidising / 1000)
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276
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save_data(5, gas_data.reducing / 1000)
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277
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save_data(6, gas_data.nh3 / 1000)
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278
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display_everything()
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279
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pms_data = None
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280
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try:
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281
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pms_data = pms5003.read()
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282
|
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except (SerialTimeoutError, pmsReadTimeoutError):
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283
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-
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35
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+
logging.info("""Temperature: {:05.2f} *C
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284
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-
else:
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285
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-
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36
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+
Pressure: {:05.2f} hPa
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286
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-
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37
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+
Relative humidity: {:05.2f} %
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287
|
-
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38
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+
""".format(temperature, pressure, humidity))
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288
|
-
display_everything()
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|
289
|
-
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290
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-
Exit cleanly
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291
|
-
except KeyboardInterrupt:
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292
|
-
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39
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+
time.sleep(1)
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|
293
|
-
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|
294
|
-
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|
295
|
-
if __name__ == "__main__":
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296
|
-
main()
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2
プログラムの修正
title
CHANGED
|
File without changes
|
body
CHANGED
|
@@ -1,5 +1,7 @@
|
|
|
1
1
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raspberry pi で環境センサーを使っています。enviro+というセンサーを利用して以下のプログラムを実行します。その際、24時間のデータを収集したいと思っております。すべてのデータを自動でファイルに出力させることができればと願っています。ターミナル上では１０分ほどしか記録が残らないため、ターミナルからコピーすることができません。
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2
2
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実行結果のファイルへの記録の方法を教えていただけますでしょうか。どうぞ宜しくお願い致します。
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3
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+
```python3
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4
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+
コード
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3
5
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!/usr/bin/env python3
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4
6
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5
7
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import time
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@@ -7,7 +9,7 @@
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7
9
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import sys
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8
10
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import ST7735
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9
11
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try:
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10
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-
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12
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+
Transitional fix for breaking change in LTR559
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11
13
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from ltr559 import LTR559
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12
14
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ltr559 = LTR559()
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13
15
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except ImportError:
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@@ -33,47 +35,104 @@
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33
35
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Press Ctrl+C to exit!
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34
36
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35
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""")
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36
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-
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37
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-
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38
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+
BME280 temperature/pressure/humidity sensor
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38
39
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bme280 = BME280()
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39
40
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40
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-
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41
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+
PMS5003 particulate sensor
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41
42
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pms5003 = PMS5003()
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42
43
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time.sleep(1.0)
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43
44
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45
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+
Create ST7735 LCD display class
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46
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+
st7735 = ST7735.ST7735(
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47
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port=0,
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48
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cs=1,
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49
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dc=9,
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50
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backlight=12,
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51
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rotation=270,
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52
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spi_speed_hz=10000000
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53
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)
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44
54
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45
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-
# Saves the data to be used in the graphs later and prints to the log
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46
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-
def save_data(idx, data):
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47
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-
variable = variables[idx]
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48
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# Maintain length of list
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49
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-
values[variable] = values[variable][1:] + [data]
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50
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-
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55
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+
Initialize display
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51
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-
message = "{}: {:.1f} {}".format(variable[:4], data, unit)
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52
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-
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56
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+
st7735.begin()
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53
57
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58
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WIDTH = st7735.width
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59
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+
HEIGHT = st7735.height
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54
60
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55
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-
# Displays all the text on the 0.96" LCD
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56
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-
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61
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+
Set up canvas and font
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57
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-
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62
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img = Image.new('RGB', (WIDTH, HEIGHT), color=(0, 0, 0))
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63
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draw = ImageDraw.Draw(img)
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64
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font_size_small = 10
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58
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-
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65
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font_size_large = 20
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66
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font = ImageFont.truetype(UserFont, font_size_large)
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59
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-
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67
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smallfont = ImageFont.truetype(UserFont, font_size_small)
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60
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-
for i in range(len(variables)):
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61
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-
variable = variables[i]
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62
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-
data_value = values[variable][-1]
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63
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-
unit = units[i]
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64
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-
x = x_offset + ((WIDTH // column_count) * (i // row_count))
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65
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-
y = y_offset + ((HEIGHT / row_count) * (i % row_count))
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66
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-
message = "{}: {:.1f} {}".format(variable[:4], data_value, unit)
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67
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-
lim = limits[i]
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68
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-
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68
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+
x_offset = 2
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69
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-
for j in range(len(lim)):
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70
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-
if data_value > lim[j]:
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71
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-
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69
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+
y_offset = 2
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72
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-
draw.text((x, y), message, font=smallfont, fill=rgb)
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73
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-
st7735.display(img)
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74
70
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71
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message = ""
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75
72
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73
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The position of the top bar
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74
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top_pos = 25
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75
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+
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76
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Create a values dict to store the data
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77
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variables = ["temperature",
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78
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"pressure",
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79
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"humidity",
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80
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"light",
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81
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"oxidised",
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82
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"reduced",
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83
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"nh3",
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84
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"pm1",
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85
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"pm25",
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86
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"pm10"]
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87
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+
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88
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units = ["C",
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89
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"hPa",
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90
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"%",
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91
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"Lux",
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92
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"kO",
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93
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"kO",
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94
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"kO",
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95
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"ug/m3",
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96
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"ug/m3",
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97
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"ug/m3"]
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98
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+
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99
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Define your own warning limits
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100
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The limits definition follows the order of the variables array
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101
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Example limits explanation for temperature:
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102
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[4,18,28,35] means
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103
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[-273.15 .. 4] -> Dangerously Low
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104
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(4 .. 18] -> Low
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105
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(18 .. 28] -> Normal
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106
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(28 .. 35] -> High
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107
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(35 .. MAX] -> Dangerously High
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108
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DISCLAIMER: The limits provided here are just examples and come
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109
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with NO WARRANTY. The authors of this example code claim
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110
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NO RESPONSIBILITY if reliance on the following values or this
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111
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+
code in general leads to ANY DAMAGES or DEATH.
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112
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+
limits = [[4, 18, 28, 35],
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113
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[250, 650, 1013.25, 1015],
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114
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[20, 30, 60, 70],
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115
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[-1, -1, 30000, 100000],
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116
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[-1, -1, 40, 50],
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117
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[-1, -1, 450, 550],
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118
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[-1, -1, 200, 300],
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119
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[-1, -1, 50, 100],
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120
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[-1, -1, 50, 100],
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121
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[-1, -1, 50, 100]]
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122
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+
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123
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RGB palette for values on the combined screen
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124
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palette = [(0, 0, 255), # Dangerously Low
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125
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(0, 255, 255), # Low
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126
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+
(0, 255, 0), # Normal
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127
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(255, 255, 0), # High
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128
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(255, 0, 0)] # Dangerously High
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129
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+
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130
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+
values = {}
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131
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+
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132
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+
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133
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+
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134
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+
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76
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-
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135
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+
Get the temperature of the CPU for compensation
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77
136
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def get_cpu_temperature():
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78
137
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process = Popen(['vcgencmd', 'measure_temp'], stdout=PIPE, universal_newlines=True)
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79
138
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output, _error = process.communicate()
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@@ -81,8 +140,8 @@
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81
140
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82
141
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83
142
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def main():
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84
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-
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143
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+
Tuning factor for compensation. Decrease this number to adjust the
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85
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-
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144
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+
temperature down, and increase to adjust up
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86
145
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factor = 2.25
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87
146
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88
147
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cpu_temps = [get_cpu_temperature()] * 5
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@@ -94,23 +153,23 @@
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94
153
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for v in variables:
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95
154
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values[v] = [1] * WIDTH
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96
155
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97
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-
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156
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+
The main loop
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98
157
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try:
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99
158
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while True:
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100
159
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proximity = ltr559.get_proximity()
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101
160
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102
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-
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161
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+
If the proximity crosses the threshold, toggle the mode
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103
162
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if proximity > 1500 and time.time() - last_page > delay:
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104
163
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mode += 1
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105
164
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mode %= (len(variables) + 1)
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106
165
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last_page = time.time()
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107
166
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108
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-
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167
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+
One mode for each variable
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109
168
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if mode == 0:
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110
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-
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169
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+
variable = "temperature"
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111
170
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unit = "C"
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112
171
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cpu_temp = get_cpu_temperature()
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113
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-
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172
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+
Smooth out with some averaging to decrease jitter
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114
173
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cpu_temps = cpu_temps[1:] + [cpu_temp]
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115
174
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avg_cpu_temp = sum(cpu_temps) / float(len(cpu_temps))
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116
175
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raw_temp = bme280.get_temperature()
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@@ -118,19 +177,19 @@
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118
177
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display_text(variables[mode], data, unit)
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178
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120
179
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if mode == 1:
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121
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-
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180
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+
variable = "pressure"
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122
181
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unit = "hPa"
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123
182
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data = bme280.get_pressure()
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183
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display_text(variables[mode], data, unit)
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184
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126
185
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if mode == 2:
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127
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-
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186
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+
variable = "humidity"
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128
187
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unit = "%"
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129
188
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data = bme280.get_humidity()
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189
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display_text(variables[mode], data, unit)
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131
190
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132
191
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if mode == 3:
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133
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-
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192
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+
variable = "light"
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134
193
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unit = "Lux"
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135
194
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if proximity < 10:
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136
195
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data = ltr559.get_lux()
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@@ -139,28 +198,28 @@
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139
198
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display_text(variables[mode], data, unit)
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140
199
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141
200
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if mode == 4:
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142
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-
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201
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+
variable = "oxidised"
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143
202
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unit = "kO"
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144
203
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data = gas.read_all()
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145
204
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data = data.oxidising / 1000
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146
205
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display_text(variables[mode], data, unit)
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147
206
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148
207
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if mode == 5:
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149
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-
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208
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+
variable = "reduced"
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150
209
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unit = "kO"
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151
210
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data = gas.read_all()
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152
211
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data = data.reducing / 1000
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153
212
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display_text(variables[mode], data, unit)
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154
213
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155
214
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if mode == 6:
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156
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-
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215
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+
variable = "nh3"
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157
216
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unit = "kO"
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158
217
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data = gas.read_all()
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159
218
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data = data.nh3 / 1000
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160
219
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display_text(variables[mode], data, unit)
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161
220
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162
221
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if mode == 7:
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163
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-
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222
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+
variable = "pm1"
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164
223
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unit = "ug/m3"
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165
224
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try:
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166
225
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data = pms5003.read()
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@@ -171,7 +230,7 @@
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171
230
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display_text(variables[mode], data, unit)
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172
231
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173
232
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if mode == 8:
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174
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-
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233
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+
variable = "pm25"
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175
234
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unit = "ug/m3"
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176
235
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try:
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177
236
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data = pms5003.read()
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@@ -182,7 +241,7 @@
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182
241
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display_text(variables[mode], data, unit)
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183
242
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184
243
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if mode == 9:
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185
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-
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244
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+
variable = "pm10"
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186
245
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unit = "ug/m3"
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187
246
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try:
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188
247
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data = pms5003.read()
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@@ -192,9 +251,9 @@
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192
251
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data = float(data.pm_ug_per_m3(10))
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193
252
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display_text(variables[mode], data, unit)
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194
253
|
if mode == 10:
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195
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-
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254
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+
Everything on one screen
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196
255
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cpu_temp = get_cpu_temperature()
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197
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-
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|
256
|
+
Smooth out with some averaging to decrease jitter
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198
257
|
cpu_temps = cpu_temps[1:] + [cpu_temp]
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|
199
258
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avg_cpu_temp = sum(cpu_temps) / float(len(cpu_temps))
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200
259
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raw_temp = bme280.get_temperature()
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@@ -228,7 +287,7 @@
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228
287
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save_data(9, float(pms_data.pm_ug_per_m3(10)))
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229
288
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display_everything()
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230
289
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231
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-
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290
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+
Exit cleanly
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232
291
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except KeyboardInterrupt:
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233
292
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sys.exit(0)
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234
293
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1
プログラムの記入
title
CHANGED
|
File without changes
|
body
CHANGED
|
@@ -1,2 +1,237 @@
|
|
|
1
1
|
raspberry pi で環境センサーを使っています。enviro+というセンサーを利用して以下のプログラムを実行します。その際、24時間のデータを収集したいと思っております。すべてのデータを自動でファイルに出力させることができればと願っています。ターミナル上では１０分ほどしか記録が残らないため、ターミナルからコピーすることができません。
|
|
2
|
-
実行結果のファイルへの記録の方法を教えていただけますでしょうか。どうぞ宜しくお願い致します。
|
|
2
|
+
実行結果のファイルへの記録の方法を教えていただけますでしょうか。どうぞ宜しくお願い致します。
|
|
3
|
+
!/usr/bin/env python3
|
|
4
|
+
|
|
5
|
+
import time
|
|
6
|
+
import colorsys
|
|
7
|
+
import sys
|
|
8
|
+
import ST7735
|
|
9
|
+
try:
|
|
10
|
+
# Transitional fix for breaking change in LTR559
|
|
11
|
+
from ltr559 import LTR559
|
|
12
|
+
ltr559 = LTR559()
|
|
13
|
+
except ImportError:
|
|
14
|
+
import ltr559
|
|
15
|
+
|
|
16
|
+
from bme280 import BME280
|
|
17
|
+
from pms5003 import PMS5003, ReadTimeoutError as pmsReadTimeoutError, SerialTimeoutError
|
|
18
|
+
from enviroplus import gas
|
|
19
|
+
from subprocess import PIPE, Popen
|
|
20
|
+
from PIL import Image
|
|
21
|
+
from PIL import ImageDraw
|
|
22
|
+
from PIL import ImageFont
|
|
23
|
+
from fonts.ttf import RobotoMedium as UserFont
|
|
24
|
+
import logging
|
|
25
|
+
|
|
26
|
+
logging.basicConfig(
|
|
27
|
+
format='%(asctime)s.%(msecs)03d %(levelname)-8s %(message)s',
|
|
28
|
+
level=logging.INFO,
|
|
29
|
+
datefmt='%Y-%m-%d %H:%M:%S')
|
|
30
|
+
|
|
31
|
+
logging.info("""combined.py - Displays readings from all of Enviro plus' sensors
|
|
32
|
+
|
|
33
|
+
Press Ctrl+C to exit!
|
|
34
|
+
|
|
35
|
+
""")
|
|
36
|
+
|
|
37
|
+
# BME280 temperature/pressure/humidity sensor
|
|
38
|
+
bme280 = BME280()
|
|
39
|
+
|
|
40
|
+
# PMS5003 particulate sensor
|
|
41
|
+
pms5003 = PMS5003()
|
|
42
|
+
time.sleep(1.0)
|
|
43
|
+
|
|
44
|
+
|
|
45
|
+
# Saves the data to be used in the graphs later and prints to the log
|
|
46
|
+
def save_data(idx, data):
|
|
47
|
+
variable = variables[idx]
|
|
48
|
+
# Maintain length of list
|
|
49
|
+
values[variable] = values[variable][1:] + [data]
|
|
50
|
+
unit = units[idx]
|
|
51
|
+
message = "{}: {:.1f} {}".format(variable[:4], data, unit)
|
|
52
|
+
logging.info(message)
|
|
53
|
+
|
|
54
|
+
|
|
55
|
+
# Displays all the text on the 0.96" LCD
|
|
56
|
+
def display_everything():
|
|
57
|
+
draw.rectangle((0, 0, WIDTH, HEIGHT), (0, 0, 0))
|
|
58
|
+
column_count = 2
|
|
59
|
+
row_count = (len(variables) / column_count)
|
|
60
|
+
for i in range(len(variables)):
|
|
61
|
+
variable = variables[i]
|
|
62
|
+
data_value = values[variable][-1]
|
|
63
|
+
unit = units[i]
|
|
64
|
+
x = x_offset + ((WIDTH // column_count) * (i // row_count))
|
|
65
|
+
y = y_offset + ((HEIGHT / row_count) * (i % row_count))
|
|
66
|
+
message = "{}: {:.1f} {}".format(variable[:4], data_value, unit)
|
|
67
|
+
lim = limits[i]
|
|
68
|
+
rgb = palette[0]
|
|
69
|
+
for j in range(len(lim)):
|
|
70
|
+
if data_value > lim[j]:
|
|
71
|
+
rgb = palette[j + 1]
|
|
72
|
+
draw.text((x, y), message, font=smallfont, fill=rgb)
|
|
73
|
+
st7735.display(img)
|
|
74
|
+
|
|
75
|
+
|
|
76
|
+
# Get the temperature of the CPU for compensation
|
|
77
|
+
def get_cpu_temperature():
|
|
78
|
+
process = Popen(['vcgencmd', 'measure_temp'], stdout=PIPE, universal_newlines=True)
|
|
79
|
+
output, _error = process.communicate()
|
|
80
|
+
return float(output[output.index('=') + 1:output.rindex("'")])
|
|
81
|
+
|
|
82
|
+
|
|
83
|
+
def main():
|
|
84
|
+
# Tuning factor for compensation. Decrease this number to adjust the
|
|
85
|
+
# temperature down, and increase to adjust up
|
|
86
|
+
factor = 2.25
|
|
87
|
+
|
|
88
|
+
cpu_temps = [get_cpu_temperature()] * 5
|
|
89
|
+
|
|
90
|
+
delay = 0.5 # Debounce the proximity tap
|
|
91
|
+
mode = 10 # The starting mode
|
|
92
|
+
last_page = 0
|
|
93
|
+
|
|
94
|
+
for v in variables:
|
|
95
|
+
values[v] = [1] * WIDTH
|
|
96
|
+
|
|
97
|
+
# The main loop
|
|
98
|
+
try:
|
|
99
|
+
while True:
|
|
100
|
+
proximity = ltr559.get_proximity()
|
|
101
|
+
|
|
102
|
+
# If the proximity crosses the threshold, toggle the mode
|
|
103
|
+
if proximity > 1500 and time.time() - last_page > delay:
|
|
104
|
+
mode += 1
|
|
105
|
+
mode %= (len(variables) + 1)
|
|
106
|
+
last_page = time.time()
|
|
107
|
+
|
|
108
|
+
# One mode for each variable
|
|
109
|
+
if mode == 0:
|
|
110
|
+
# variable = "temperature"
|
|
111
|
+
unit = "C"
|
|
112
|
+
cpu_temp = get_cpu_temperature()
|
|
113
|
+
# Smooth out with some averaging to decrease jitter
|
|
114
|
+
cpu_temps = cpu_temps[1:] + [cpu_temp]
|
|
115
|
+
avg_cpu_temp = sum(cpu_temps) / float(len(cpu_temps))
|
|
116
|
+
raw_temp = bme280.get_temperature()
|
|
117
|
+
data = raw_temp - ((avg_cpu_temp - raw_temp) / factor)
|
|
118
|
+
display_text(variables[mode], data, unit)
|
|
119
|
+
|
|
120
|
+
if mode == 1:
|
|
121
|
+
# variable = "pressure"
|
|
122
|
+
unit = "hPa"
|
|
123
|
+
data = bme280.get_pressure()
|
|
124
|
+
display_text(variables[mode], data, unit)
|
|
125
|
+
|
|
126
|
+
if mode == 2:
|
|
127
|
+
# variable = "humidity"
|
|
128
|
+
unit = "%"
|
|
129
|
+
data = bme280.get_humidity()
|
|
130
|
+
display_text(variables[mode], data, unit)
|
|
131
|
+
|
|
132
|
+
if mode == 3:
|
|
133
|
+
# variable = "light"
|
|
134
|
+
unit = "Lux"
|
|
135
|
+
if proximity < 10:
|
|
136
|
+
data = ltr559.get_lux()
|
|
137
|
+
else:
|
|
138
|
+
data = 1
|
|
139
|
+
display_text(variables[mode], data, unit)
|
|
140
|
+
|
|
141
|
+
if mode == 4:
|
|
142
|
+
# variable = "oxidised"
|
|
143
|
+
unit = "kO"
|
|
144
|
+
data = gas.read_all()
|
|
145
|
+
data = data.oxidising / 1000
|
|
146
|
+
display_text(variables[mode], data, unit)
|
|
147
|
+
|
|
148
|
+
if mode == 5:
|
|
149
|
+
# variable = "reduced"
|
|
150
|
+
unit = "kO"
|
|
151
|
+
data = gas.read_all()
|
|
152
|
+
data = data.reducing / 1000
|
|
153
|
+
display_text(variables[mode], data, unit)
|
|
154
|
+
|
|
155
|
+
if mode == 6:
|
|
156
|
+
# variable = "nh3"
|
|
157
|
+
unit = "kO"
|
|
158
|
+
data = gas.read_all()
|
|
159
|
+
data = data.nh3 / 1000
|
|
160
|
+
display_text(variables[mode], data, unit)
|
|
161
|
+
|
|
162
|
+
if mode == 7:
|
|
163
|
+
# variable = "pm1"
|
|
164
|
+
unit = "ug/m3"
|
|
165
|
+
try:
|
|
166
|
+
data = pms5003.read()
|
|
167
|
+
except pmsReadTimeoutError:
|
|
168
|
+
logging.warning("Failed to read PMS5003")
|
|
169
|
+
else:
|
|
170
|
+
data = float(data.pm_ug_per_m3(1.0))
|
|
171
|
+
display_text(variables[mode], data, unit)
|
|
172
|
+
|
|
173
|
+
if mode == 8:
|
|
174
|
+
# variable = "pm25"
|
|
175
|
+
unit = "ug/m3"
|
|
176
|
+
try:
|
|
177
|
+
data = pms5003.read()
|
|
178
|
+
except pmsReadTimeoutError:
|
|
179
|
+
logging.warning("Failed to read PMS5003")
|
|
180
|
+
else:
|
|
181
|
+
data = float(data.pm_ug_per_m3(2.5))
|
|
182
|
+
display_text(variables[mode], data, unit)
|
|
183
|
+
|
|
184
|
+
if mode == 9:
|
|
185
|
+
# variable = "pm10"
|
|
186
|
+
unit = "ug/m3"
|
|
187
|
+
try:
|
|
188
|
+
data = pms5003.read()
|
|
189
|
+
except pmsReadTimeoutError:
|
|
190
|
+
logging.warning("Failed to read PMS5003")
|
|
191
|
+
else:
|
|
192
|
+
data = float(data.pm_ug_per_m3(10))
|
|
193
|
+
display_text(variables[mode], data, unit)
|
|
194
|
+
if mode == 10:
|
|
195
|
+
# Everything on one screen
|
|
196
|
+
cpu_temp = get_cpu_temperature()
|
|
197
|
+
# Smooth out with some averaging to decrease jitter
|
|
198
|
+
cpu_temps = cpu_temps[1:] + [cpu_temp]
|
|
199
|
+
avg_cpu_temp = sum(cpu_temps) / float(len(cpu_temps))
|
|
200
|
+
raw_temp = bme280.get_temperature()
|
|
201
|
+
raw_data = raw_temp - ((avg_cpu_temp - raw_temp) / factor)
|
|
202
|
+
save_data(0, raw_data)
|
|
203
|
+
display_everything()
|
|
204
|
+
raw_data = bme280.get_pressure()
|
|
205
|
+
save_data(1, raw_data)
|
|
206
|
+
display_everything()
|
|
207
|
+
raw_data = bme280.get_humidity()
|
|
208
|
+
save_data(2, raw_data)
|
|
209
|
+
if proximity < 10:
|
|
210
|
+
raw_data = ltr559.get_lux()
|
|
211
|
+
else:
|
|
212
|
+
raw_data = 1
|
|
213
|
+
save_data(3, raw_data)
|
|
214
|
+
display_everything()
|
|
215
|
+
gas_data = gas.read_all()
|
|
216
|
+
save_data(4, gas_data.oxidising / 1000)
|
|
217
|
+
save_data(5, gas_data.reducing / 1000)
|
|
218
|
+
save_data(6, gas_data.nh3 / 1000)
|
|
219
|
+
display_everything()
|
|
220
|
+
pms_data = None
|
|
221
|
+
try:
|
|
222
|
+
pms_data = pms5003.read()
|
|
223
|
+
except (SerialTimeoutError, pmsReadTimeoutError):
|
|
224
|
+
logging.warning("Failed to read PMS5003")
|
|
225
|
+
else:
|
|
226
|
+
save_data(7, float(pms_data.pm_ug_per_m3(1.0)))
|
|
227
|
+
save_data(8, float(pms_data.pm_ug_per_m3(2.5)))
|
|
228
|
+
save_data(9, float(pms_data.pm_ug_per_m3(10)))
|
|
229
|
+
display_everything()
|
|
230
|
+
|
|
231
|
+
# Exit cleanly
|
|
232
|
+
except KeyboardInterrupt:
|
|
233
|
+
sys.exit(0)
|
|
234
|
+
|
|
235
|
+
|
|
236
|
+
if __name__ == "__main__":
|
|
237
|
+
main()
|