Coal Mine Safety Monitoring and Alerting System with Smart Helmet
Traditional monitoring systems in coal mines are difficult to install, hazardous, and difficult to power. Because of the complexity of the mining environment and the wide range of operations performed in coal mines, it is vital to monitor and maintain the parameters in the background t increase the...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2022-01-01
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| Series: | ITM Web of Conferences |
| Subjects: | |
| Online Access: | https://www.itm-conferences.org/articles/itmconf/pdf/2022/04/itmconf_icacc2022_01005.pdf |
| _version_ | 1811307786728898560 |
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| author | Rudrawar Mangesh Sharma Shivam Thakur Madhuri Kadam Vivek |
| author_facet | Rudrawar Mangesh Sharma Shivam Thakur Madhuri Kadam Vivek |
| author_sort | Rudrawar Mangesh |
| collection | DOAJ |
| description | Traditional monitoring systems in coal mines are difficult to install, hazardous, and difficult to power. Because of the complexity of the mining environment and the wide range of operations performed in coal mines, it is vital to monitor and maintain the parameters in the background t increase the efficiency and safety of mineworkers. As a result, traditional monitoring methods cannot be relied on to ensure coal workers’ safety. This research represents a ZigBee-based wireless monitoring system using a smart helmet. The presented wireless monitoring system is capable of detecting and transmitting critical parameters in coal mines such as methane gas, high temperature, humidity, and fire. In an emergency, this monitoring system transmits distress signals. A buzzer will sound if emergency conditions are detected, and the monitored variables will be displayed on the user interface machine. Moreover, the Parameters are wirelessly transmitted to the control room, allowing people to determine the safety situation of the mine. This model is easily reprogrammable. Experiments have demonstrated the system’s reliability and stability. |
| first_indexed | 2024-04-13T09:10:25Z |
| format | Article |
| id | doaj.art-d2e00640b3c24ddfa499e042bbecf28e |
| institution | Directory Open Access Journal |
| issn | 2271-2097 |
| language | English |
| last_indexed | 2024-04-13T09:10:25Z |
| publishDate | 2022-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | ITM Web of Conferences |
| spelling | doaj.art-d2e00640b3c24ddfa499e042bbecf28e2022-12-22T02:52:53ZengEDP SciencesITM Web of Conferences2271-20972022-01-01440100510.1051/itmconf/20224401005itmconf_icacc2022_01005Coal Mine Safety Monitoring and Alerting System with Smart HelmetRudrawar Mangesh0Sharma Shivam1Thakur Madhuri2Kadam Vivek3Department of Instrumentation Engineering, Ramrao Adik Institute of TechnologyDepartment of Instrumentation Engineering, Ramrao Adik Institute of TechnologyDepartment of Instrumentation Engineering, Ramrao Adik Institute of TechnologyDepartment of Instrumentation Engineering, Ramrao Adik Institute of TechnologyTraditional monitoring systems in coal mines are difficult to install, hazardous, and difficult to power. Because of the complexity of the mining environment and the wide range of operations performed in coal mines, it is vital to monitor and maintain the parameters in the background t increase the efficiency and safety of mineworkers. As a result, traditional monitoring methods cannot be relied on to ensure coal workers’ safety. This research represents a ZigBee-based wireless monitoring system using a smart helmet. The presented wireless monitoring system is capable of detecting and transmitting critical parameters in coal mines such as methane gas, high temperature, humidity, and fire. In an emergency, this monitoring system transmits distress signals. A buzzer will sound if emergency conditions are detected, and the monitored variables will be displayed on the user interface machine. Moreover, the Parameters are wirelessly transmitted to the control room, allowing people to determine the safety situation of the mine. This model is easily reprogrammable. Experiments have demonstrated the system’s reliability and stability.https://www.itm-conferences.org/articles/itmconf/pdf/2022/04/itmconf_icacc2022_01005.pdfcoal mine safetymonitoring systemiotzigbeesmart helmet |
| spellingShingle | Rudrawar Mangesh Sharma Shivam Thakur Madhuri Kadam Vivek Coal Mine Safety Monitoring and Alerting System with Smart Helmet ITM Web of Conferences coal mine safety monitoring system iot zigbee smart helmet |
| title | Coal Mine Safety Monitoring and Alerting System with Smart Helmet |
| title_full | Coal Mine Safety Monitoring and Alerting System with Smart Helmet |
| title_fullStr | Coal Mine Safety Monitoring and Alerting System with Smart Helmet |
| title_full_unstemmed | Coal Mine Safety Monitoring and Alerting System with Smart Helmet |
| title_short | Coal Mine Safety Monitoring and Alerting System with Smart Helmet |
| title_sort | coal mine safety monitoring and alerting system with smart helmet |
| topic | coal mine safety monitoring system iot zigbee smart helmet |
| url | https://www.itm-conferences.org/articles/itmconf/pdf/2022/04/itmconf_icacc2022_01005.pdf |
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