iFaw-Project

Weather Station and Faw Counting

Table of Contents

1. System Overview

2. System Installation

   2.1. Hardware

   2.2. Software

   2.2.1. Node-RED

   2.2.2. MongoDB Client

   2.2.3. FawPredict

3. Citation

4. Acknowledgements

1. System Overview

Pending ...

2. System Installation

2.1. Hardware

• ESP32
• GY1145
• Weather Station (DF Robot)
• Faw Counter (custom design)

Install:

1. Install ESP32 Add-on in Arduino IDE.

• In Arduino IDE, go to File > Preferences.
  
• Copy and paste the following line to the Additional Boards Manager URLs field:
  https://raw.githubusercontent.com/espressif/arduino-esp32/gh-pages/package_esp32_index.json
  
• Open the Boards Manager:
  
  • You can go to Tools > Board > Boards Manager…
    
  • Search for ESP32 and press the install button for esp32 by Arduino.
    

2. Add SoftwareSerial Lib:
   

• In the menu bar, select Sketchs > Include Library > Add .Zip Library...
  
• Select espsoftwareserial-main.zip in Libs folder.
  

3. Add GY1145 Libs:
   

• In the menu bar, select Tools > Manage Libraries…
  
• Search "Adafruit SI1145" and install.
  

4. Wifi Lib:
   

• The PubSubClient library provides a client for doing simple publish/subscribe messaging with a server that supports MQTT (basically allows your ESP32 to talk with Node-RED).
  Click here to dowload Libs
  You should have a .zip folder in your Downloads folder Unzip the .zip folder and you should get pubsubclient-master folder.
  Rename your folder from pubsubclient-master to pubsubclient.
  
• In the menu bar, select Sketchs > Include Library > Add .Zip Library...
  
• Select pubsubclient.zip.
  

Hardware Settings:

ESP32	Weather	GY1145	Counter
5V	5V	x	5V
3.3V	x	x	Vin
GND	GND	GND	GND
TX2	RX	x	x
RX2	TX	x	x
SCL	x	SCL	x
SDA	x	SDA	x
GPIO33	x	x	OUT

Upload code for ESP32: weatherv6

2.2. Software

2.2.1. Node-RED

1. Install Node-RED: Click here
2. Import flows.json to Node-RED
3. Open terminal: Run command: node-red and open link local server.

2.2.2. MongoDB Client

1. cd Software/MongoDBClient
2. pip install -r requirements.txt

2.2.3. FawPredict

Setup

1. Clone repo
2. cd Software/FAWpredict
3. pip install -r requirements.txt
4. Copy .env.example into .env and fill in the API key

How to run

Open the terminal and type

python FAWPredict.py --mode [SELECT_MODE] --location [SELECT_LOCATION] --date [SELECT_DATE] --age [SELECT_AGE]

• [SELECT_MODE]: regression mode or lookup mode
• [SELECT_LOCATION]: location to analyze (for example: Hanoi)
• [SELECT_DATE]: format: yyyy-mm-dd (Example: 2022-04-01)
• [SELECT_AGE]: a number from 0-8 represent for development stages of worm

0: egg
1: first instar
2: second instar
3: third instar
4: fourth instar
5: fifth instar
6: sixth instar
7: larval stage
8: adult stage

3.Citation

4.Acknowledgements