|
1177
|
1 from __future__ import print_function
|
|
|
2 import sys
|
|
|
3 import logging
|
|
|
4 import serial
|
|
|
5 import time
|
|
|
6 from influxdb import InfluxDBClient
|
|
|
7
|
|
|
8 logging.basicConfig(level=logging.INFO)
|
|
|
9 log = logging.getLogger()
|
|
|
10
|
|
|
11 location, = sys.argv[1:]
|
|
|
12 min_period = 5
|
|
|
13
|
|
|
14 ser_port = "/dev/ttyUSB0"
|
|
|
15 ser = serial.Serial(ser_port, baudrate=9600, stopbits=1, parity="N", timeout=2)
|
|
|
16
|
|
|
17 influx = InfluxDBClient('bang6', 9060, 'root', 'root', 'main')
|
|
|
18
|
|
|
19 last_write = 0
|
|
|
20 while True:
|
|
|
21 ser.flushInput()
|
|
|
22 s = map(ord, ser.read(32))
|
|
|
23 if s[:2] != [0x42, 0x4d]:
|
|
|
24 log.warn('unknown packet header: %s' % s)
|
|
|
25 continue
|
|
|
26
|
|
|
27 cs = (s[30] * 256 + s[31]) # check sum
|
|
|
28 check = 0
|
|
|
29 for i in range(30):
|
|
|
30 check += s[i]
|
|
|
31 if check != cs:
|
|
|
32 log.warn('checksum mismatch: %s' % s)
|
|
|
33 continue
|
|
|
34
|
|
|
35 sample = {
|
|
|
36 # PM1, PM2.5 and PM10 values for standard particle in ug/m^3
|
|
|
37 'pm1_0_std': s[4] * 256 + s[5],
|
|
|
38 'pm2_5_std': s[6] * 256 + s[7],
|
|
|
39 'pm10_0_std': s[8] * 256 + s[9],
|
|
|
40
|
|
|
41 # PM1, PM2.5 and PM10 values for atmospheric conditions in ug/m^3
|
|
|
42 'pm1_0_atm': s[10] * 256 + s[11],
|
|
|
43 'pm2_5_atm': s[12] * 256 + s[13],
|
|
|
44 'pm10_0_atm': s[14] * 256 + s[15],
|
|
|
45
|
|
|
46 # Number of particles bigger than 0.3 um, 0.5 um, etc. in #/cm^3
|
|
|
47 'part_0_3': s[16] * 256 + s[17],
|
|
|
48 'part_0_5': s[18] * 256 + s[19],
|
|
|
49 'part_1_0': s[20] * 256 + s[21],
|
|
|
50 'part_2_5': s[22] * 256 + s[23],
|
|
|
51 'part_5_0': s[24] * 256 + s[25],
|
|
|
52 'part_10_0': s[26] * 256 + s[27],
|
|
|
53 }
|
|
|
54
|
|
|
55 now = int(time.time())
|
|
|
56 if now < last_write + min_period:
|
|
|
57 continue
|
|
|
58 if last_write == 0:
|
|
|
59 log.info('sending first sample: %s', sample)
|
|
|
60 last_write = now
|
|
|
61 influx.write_points([{'measurement': 'air_particles',
|
|
|
62 "fields": sample,
|
|
|
63 "time": now,
|
|
|
64 }],
|
|
|
65 tags=dict(location=location),
|
|
|
66 time_precision='s')
|
