Ameba Arduino: [RTL8195AM] [RTL8710AF] Upload PM2.5 data to LASS system
Intro to LASS
The LASS stands for “Location Aware Sensor System”. It is an open project and was started only for the interest of public welfare. Find detailed introduction here. Practically, LASS is based on MQTT protocol to collect all kinds of uploaded data, and for those who need these data can subscribe top as well. Find more LASS information at their official hackpad.
- Ameba x 1
- PlanTower PMS3003 (or PMS5003) x 1
In this example, we use applications mentioned at our website, including:
- MQTT: a MQTT-Broker to connect to LASS. The Client is “FT1_0XXXX”, the XXXX are the four last digits of Ameba’s Wi-Fi MAC, and the outTopic is “LASS/Test/Pm25Ameba/clientID“, where clientID is the actual Ameba’s MQTT client ID.
- NTP: uploaded data must have time notation
- PM2.5: uploaded data includes PM2.5 information
Open the example. “File” -> “Examples” -> “AmebaMQTTClient” -> “lass_basic”
This example requires internet connection, so make sure you fill in SSID and PASS into AP information that you wish to connect.
Also, LASS requires GPS information. There is no GPS sensor included in this example, so you have to manually provide GPS information. Use Google Map to find the coordinates you plan to place your Ameba. You can see in this example that the latitude is 24.7814033, and the longitude is 120.9933676
Fill in GPS info at gps_lat and gps_lon.
Then connect sensors according to UART-PlanTower PMS3003 wiring example.
Below is the RTL8710 Wiring Diagram:
Compile the code and upload it to Ameba. After pressing the Reset button, Ameba will attempt to read PM2.5 data every one minute and upload it to LASS MQTT-Broker.
Open Serial Monitor to see the uploaded data, including client id, topic, and current PM2.5 status.
We can also use MQTTlens to verify if the data is properly uploaded.
As we write“gpssensor.ddns.net” at MQTT-Broker server, and “LASS/Test/PM25/live” at subscribe topic as we see in Serial Monitor, we are able to receive data.
The time uses UTC format, and the PM2.5 data stores in s-d0. In the figure, s_d0 = 9 represents that the PM2.5 is 9, meaning that the entire publish/ subscribe process is working successfully.