Description

IoT Based Forest Environment Monitoring System

This paper talks about a framework, which utilizes sensors to observe forest conditions and rapidly sends the data to its server for drawing out a prediction. This exploration intends to examine the key structures for both batch and stream sensors, dealing with and to utilize them for the improvement of a Big Data condition. Big Data tools were utilized for IoT stockpiling, handling and representation of information. In this project, sensors such as Carbon monoxide (MQ 9), Carbon-di-oxide (MQ 135), Hydrogen (MQ 2), Methane (MQ 4) are used to measure quality of the air. DHT11 sensor is used to find the temperature and humidity of the environment.  They were brought under association through a micro-controller (Arduino) unit that bolsters the Transmission Control Protocol/Internet Protocol (TCP/IP). This undertaking features the vital instruments to execute and investigate the information in a dynamic way. 

Hardware used

• Arduino uno
• Dht11 sensor
• MQ-9 gas sensor
• MQ-135 sensor
• MQ-4 gas sensor
• MQ-2 gas sensor
• ESP8266 WIFI module

Software used

• Arduino IDE
• Embedded C
• Thingspeak