Introduction
- The use of micro-processor is tremendously increasing in the era of smart and connected world.
- The goal is to remotely measure the weather parameters by leveraging the IoT technology.
- Use case focused on heterogeneous communication medium such as I2C and GPIO pin etc.
- Use of low-cost (commodity) hardware using IoT technology for the weather monitoring.
- Enabling the real-time monitoring of the weather parameters.
Architecture
Experiment Setup
Hardware, Tools and Technology Used
Hardware used:
- Raspberry Pi-3
- AM2302 Temperature & Humidity Sensor
- BMP180 Pressure Sensor
- BH1750 Light Intensity Module
Technology (library) used:
- Node.js- A Lightweight scripting language with small memory footprint
- Node dht-sensor module* for reading temp. and humidity value
- Node raspi-sensors module** for encoding interaction for pressure sensor
- Node bh1750^ module used to measure the light intensity value
*Node-dht-sensor module is available at https://www.npmjs.com/package/node-dht-sensor
**Node raspi-sensors module is available at https://www.npmjs.com/package/raspi-sensors
^Node bh1750 module is available at https://www.npmjs.com/package/bh1750
Result (1/2)
Raspberry Pi console: Monitoring of Temperature, Humidity, Pressure and Light Intensity
Result (2/2)
Raspberry Pi console: Monitoring of Temperature, Humidity, Pressure and Light Intensity
Future Direction
- The current scenario display weather parameters in terms of raw data. The immediate future plan could be providing the real time visualization of the weather parameters.
- Identifying the other possible list of weather parameters with corresponding sensors also.
- Enabling the analytics (forecasting) or prediction using the Machine Learning algorithm.
- Measuring the accuracy of the weather parameters with other weather services such as Yahoo Weather Service.
- Is it possible to leverage the power of open source forecasting model to enable the forecasting (useful in case of lack of domain knowledge/expertise)???
