IOT Smart Helmet for Underground Mines using ESP32

Project Presentation

1. IOT BASED SMART HELMET FOR IOT BASED SMART HELMET FOR
UNDERGROUND MINESUNDERGROUND MINES

2. CONTENTCONTENT
☞ AIM
☞ PROBLEM STATEMENT
☞ PROPOSED SYSTEM
☞ SYSTEM ARCHITECTIRE
☞ REQUIREMENTS
☞ METHODOLOGY
☞ WORK FLOW
☞ OUTPUT
☞ ADVANTAGES
☞ DISADVANTAGES
☞ APPLICATIONS
☞ FUTURE SCOPE
☞CONCLUSION
☞ REFERENCE

3. DEPARTMENT OF ELECTRONICS AND COMMUNICATION DEPARTMENT OF ELECTRONICS AND COMMUNICATION
ENGINEERINGENGINEERING
IOT BASED SMART HELMET IOT BASED SMART HELMET
FOR UNDERGROUND MINESFOR UNDERGROUND MINES

4. DEPARTMENT OF ELECTRONICS AND COMMUNICATION DEPARTMENT OF ELECTRONICS AND COMMUNICATION
ENGINEERINGENGINEERING

5. DEPARTMENT OF ELECTRONICS AND COMMUNICATION DEPARTMENT OF ELECTRONICS AND COMMUNICATION
ENGINEERINGENGINEERING
•The problem faced in underground mining is multifaceted and poses significant
risks to the safety and health of miners.
•Miners are constantly exposed to environmental hazards such as dangerous gases
like methane and carbon monoxide, along with high temperatures and humidity
levels, which can lead to serious health issues and accidents.
•Communication gaps between miners and surface control rooms exacerbate these
risks by hindering timely responses to emergencies. Additionally, delays in
detecting and responding to hazardous conditions and accidents can result in
severe injuries or fatalities.

6. DEPARTMENT OF ELECTRONICS AND COMMUNICATION DEPARTMENT OF ELECTRONICS AND COMMUNICATION
ENGINEERINGENGINEERING
•The proposed system involves the development of an IoT-based smart helmet
designed to enhance the safety of miners working in underground environments.
•This smart helmet will continuously monitor environmental conditions such as
gas levels, temperature, and humidity, and provide real-time data to both miners
and surface control rooms.
•It will also enables prompt response to any emergencies or hazardous situations.
•By integrating advanced IoT technology, this system aims to significantly
reduce the risks associated with underground mining and improve overall safety
and efficiency.

7. DEPARTMENT OF ELECTRONICS AND COMMUNICATION DEPARTMENT OF ELECTRONICS AND COMMUNICATION
ENGINEERINGENGINEERING
Raspberry pi
LCD
Wi-Fi
Module
Buzzer
Temperature
Sensor
Gas Sensor
Flame sensor
Humidity
Sensor
Power supply

8. DEPARTMENT OF ELECTRONICS AND COMMUNICATION DEPARTMENT OF ELECTRONICS AND COMMUNICATION
ENGINEERINGENGINEERING
Hardware Software
1)Power Supply
2)Buzzer
3)Raspberry pi
4)LCD
5)Sensors
1)Embedded C

9. DEPARTMENT OF ELECTRONICS AND COMMUNICATION DEPARTMENT OF ELECTRONICS AND COMMUNICATION
ENGINEERINGENGINEERING
•The sensors sense the environmental conditions around the miner working
in underground mining.
•All the real time data is displayed on LED, and also updated on the web by
using IoT with the help of Web page .
•If any of the environmental parameters exceeds its standard value the
miner, co-miners, supervisor and the control station get notify by buzzer.
•If any hazardous event occurred in the mine in such case the control station
will be able to provide the rescue team as early
 as possible.

10. DEPARTMENT OF ELECTRONICS AND COMMUNICATION DEPARTMENT OF ELECTRONICS AND COMMUNICATION
ENGINEERINGENGINEERING

11. DEPARTMENT OF ELECTRONICS AND COMMUNICATION DEPARTMENT OF ELECTRONICS AND COMMUNICATION
ENGINEERINGENGINEERING
•The flowchart depicts the operation of the IoT-based smart helmet for
underground mining. It begins with the "Start" symbol, indicating the start of
the process. The hardware powers up, including the gas sensor, flame sensor,
temperature sensor, humidity sensor, and Raspberry Pi Pico microcontroller.
•The sensors continuously measure environmental conditions and potential
hazards. The measured values are displayed on an LCD screen for real-time
monitoring. Simultaneously, the sensor values are sent as updates to a webpage,
allowing remote monitoring by supervisors.
•If any sensor detects abnormal conditions, such as high gas levels or a flame,
the buzzer is activated to alert the miner.

12. DEPARTMENT OF ELECTRONICS AND COMMUNICATION DEPARTMENT OF ELECTRONICS AND COMMUNICATION
ENGINEERINGENGINEERING
•The IoT-based smart helmet for underground mining utilizes a combination of
sensors and communication modules to enhance safety and monitoring capabilities.
•The flame sensor detects the presence of flames, providing early warning of
potential fires. Gas sensors monitor the air quality for hazardous gases, ensuring a
safe working environment.
•Temperature and humidity sensors track environmental conditions, alerting miners
to potential heat stress or other issues. LED indicators provide visual alerts based
on sensor readings.
•The integration of a WiFi module and IoT technology enables real-time data
transmission to a central monitoring system, allowing for prompt response to
safety concerns.

13. DEPARTMENT OF ELECTRONICS AND COMMUNICATION DEPARTMENT OF ELECTRONICS AND COMMUNICATION
ENGINEERINGENGINEERING

14. DEPARTMENT OF ELECTRONICS AND COMMUNICATION DEPARTMENT OF ELECTRONICS AND COMMUNICATION
ENGINEERINGENGINEERING
•Hazard detection and Monitoring
•Real-time Alerts
•Improved safety
•Wireless Communication
•Compact design

15. DEPARTMENT OF ELECTRONICS AND COMMUNICATION DEPARTMENT OF ELECTRONICS AND COMMUNICATION
ENGINEERINGENGINEERING
•Complex Implementation
•Power Consumption
•Data security and privacy
•False Alarms
•Resistance to change

16. DEPARTMENT OF ELECTRONICS AND COMMUNICATION DEPARTMENT OF ELECTRONICS AND COMMUNICATION
ENGINEERINGENGINEERING
•Mining Industry
•Construction and Tunneling
•Military and Defense
•Industrial Maintenance

17. DEPARTMENT OF ELECTRONICS AND COMMUNICATION DEPARTMENT OF ELECTRONICS AND COMMUNICATION
ENGINEERINGENGINEERING

18. DEPARTMENT OF ELECTRONICS AND COMMUNICATION DEPARTMENT OF ELECTRONICS AND COMMUNICATION
ENGINEERINGENGINEERING
•In conclusion, the development of an IoT-based smart helmet for underground
mining represents a significant step forward in enhancing safety and efficiency
in the mining industry.
•By integrating sensors such as flame, gas, temperature, and humidity sensors,
along with LED indicators and a WiFi module, the smart helmet can provide
real-time data and alerts to miners and supervisors.
•This technology not only helps in detecting potential hazards early but also
enables quick response and mitigation measures. Looking ahead, further
advancements such as AI integration and augmented reality could revolutionize
mining safety, making it more proactive and adaptive to changing conditions.

19. DEPARTMENT OF ELECTRONICS AND COMMUNICATION DEPARTMENT OF ELECTRONICS AND COMMUNICATION
ENGINEERINGENGINEERING
• Boddapati Venkata Sai Phani Gopal, Pakirabad Akash and P.S.G. Aruna Sri, "Design
Of Iot Based Coal Mine Safety System Using Nodemcu",
 International Journal of
Innovative Technology and Exploring Engineering (IJITEE), vol. 8, no. 6, Apr 2019.
• A Vishnu Kumar, A Nirmal Kumar, J Velmurugan, P Pavithra, K Poornima and S
Sabareessh, "Coal Mine Workers Safety Helmet in Li-Fi Data Stored in
Cloud",
 International Journal of Engineering and Technology, vol. 7, pp. 770-774, 2018.
• P Druvanag, Eaga Chandralekha, Gatla Niharika, Gavini Pranathi and C V Nanda
Kishore, "IOT Mining Tracking & Worker Safety Helmet",
 International Journal for
Research in Applied Science and Engineering Technology, vol. 9, pp. 2189-2192, May
2021.

20. DEPARTMENT OF ELECTRONICS AND COMMUNICATION DEPARTMENT OF ELECTRONICS AND COMMUNICATION
ENGINEERINGENGINEERING