The main aim of the project is to design a safety helmet for coal miners. The system is a cost        effective IOT based coal mine supervising system. This project is a realized real-time surveillance with early-warning intelligence on temperature, leakage of gas, force and obstacle in mining area. This helmet consists of GPS technology for live tracking .And alerting the control station using Wi-Fi over blynk mobile application. The system is used to reduce potential safety problems in coal production. The main controlling device of the project is arduino nano. This system has gas sensor, temperature sensor, LDR sensor, force sensor, IR sensor, GPS, ESP8266 Wi-Fi module is interfaced to the microcontroller. The system continuously tracks the location of the person using GPS and sending this location into the blynk mobile application through esp8266 wi-fi module. This sensors output is given input to the Microcontroller will be display on LCD. If any abnormal conditions it will send the blynk notification to the user mobile. So user can check this data from anywhere in the world.

 

The objectives of the project are:

• Automatic GAS leakage detection using GAS sensor.
• Automatic temperature detection using temperature sensor.
• Automatic hit detection using piezo sensor.
• Automatic obstacle detection using IR sensor.
• Automatic live tracking using GPS and IOT.
• Monitoring sensor data on LCD display.
• Sending alert notifications and live tracking using blynk mobile application.
• To achieve this task using arduino nano microcontroller.

  The major building blocks of the project are:

• Regulated power supply.
• Arduino nano Microcontroller.
• Gas sensor.
• Temperature sensor.
• Force sensor.
• IR sensor.
• GPS.
• LCD with driver.
• Wi-Fi module.

Software’s used:

1. Arduino IDE
2. Express SCH for Circuit Design.

   

   

Block Diagram:  

   

  video: