How to analyse sensor data

 

WUULONG SWiki information (Maybe outdated)

 

 

WAYNE Class.py data input

• Receive MQTT topic data
• WUULONG Ssudo python lass.py
• CLI: monitor ( By default system will filter and keep ver_format=3's data)
• WAYNE CLoad an existed sensor data log file
• sudo python lass.py --lasscmd (By default monitor will not be enabled in this mode)
• CLI: loaddata data.log

 

WUULONG SShow latest all devices's dust sensor value on google map

• lass.py export json
• CLI: export
• CLI: export> json geodata.json 1
• use browser ( Chrome ) to open client_map.html

 

WAYNE CImport KML of all devices's dust sensor value to google map

• lass.py export kml
• CLI: export
• CLI: export> kml my.kml
• Upload your KML file in to Google Map or Google Earth

 

Produce CSV file for R or other analytics tool to read

• lass.py export csv
• CLI: export
• CLI: export> csv my.csv

 

 

CLI: data

CLI: data> desc : show current data sorting by time

CLI: data> plot : plot sensor data and save #0: all data, 1: one sensor data, 2: one sensor diff data

CLI: data> server_import : Import data from server's log

CLI: data> gps_to_map : transform gps data value to google map format

CLI: data> filter_by_datetime : ilter data, only keep data in the datetime range

 

CLI: setting

 

WUULONG SConvert the GPS information from log to google map

 

1. Get GPS information from log

• Example:

LASS/Test/PM25 |ver_format=3|fmt_opt=0|app=PM25|ver_app=0.7.13|device_id=FT1_035|tick=500198327|date=2015-12-04|time=20:15:59|device=LinkItONE|s_0=8272.00|s_1=100.00|s_2=1.00|s_3=0.00|s_4=1.00|s_d0=36.00|s_t0=15.60|s_h0=96.90|s_d1=50.00|gps_lat=24.353596|gps_lon=120.523129|gps_fix=1|gps_num=16|gps_alt=8

 

2. lass.py

data/

LASS>data

LASS:data>help

 

Documented commands (type help <topic>):

========================================

desc fake_gen filter_by_datetime gps_to_map help plot quit server_import

 

LASS:data>help gps_to_map

transform gps data value to google map format

gps_to_map [Latitude,gps_lat],[Longitude, gps_lon]

ex: gps_to_map 25.024037,121.368875

 

LASS:data>gps_to_map 24.353596,120.523129

google map format(Latitude,Longitude,altitude): 24.589327,120.871882

 

Copy paste 24.589327,120.871882 into google map.

 

 

Show 1 device trace on the google map

1. download the data you need

• wget ftp://gpssensor.ddns.net:2121/data.log-20160208
• wget ftp://gpssensor.ddns.net:2121/data.log

1. merge all data file into 1 single data file

• cat data.log-20160208 data.log > data1.log

1. filter your device

• cat data1.log | grep 'FT1_xxx' > data2.log

1. python lass.py

• loaddata data2.log
• export
• export> kml filename.kml

1. import this kml into google my map

• Here is sample result