Rancang Bangun Smart Helm Untuk Pekerja Tambang Sebagai Deteksi Risiko Kecelakaan Kerja Berbasis Internet of Things
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Institusion
Universitas Muhammadiyah Malang
Author
Albaab, Muhammad Habib Ulil
Subject
T Technology (General)
Datestamp
2022-12-08 05:49:09
Abstract :
Mining is one of the jobs that has a high risk, whether it's the risk of work accidents, exposure to harmful gases or chemicals, to being susceptible to chronic diseases. Occupational safety and health in the mining industry area has strict procedures to ensure a safe work environment. The purpose of this study is to reduce accidents and improve work safety systems in the mining industry which are often affected by changes in temperature, humidity, and levels of harmful gases in the work environment. Temperature, humidity, and gas sensors connected to the Internet of Things (IoT) can be used to detect these problems. Packaged in the form of a smart helmet equipped with a Global Positioning System (GPS) sensor, a buzzer and an emergency button, data from the sensor is sent from the NodeMCU to the control center using wifi by implementing a mesh network. Even though wifi has shortcomings in transmission distance, it is still an option because during the transmission process, data is sent sequentially on a mesh network, which is useful in expanding the range. In addition, by activating the mesh feature using the PainlessMesh library on the NodeMCU, these networks can automatically connect to each other so that data can be sent to the control center. While one other transmission medium such as Long Range (LoRa) in general can only broadcast data to all LoRa networks. LoRa can run a mesh network but is static. Each device must be programmed individually for mapping until it can only connect to one specific device. This condition makes the use of LoRa using a mesh network currently not possible because in mining areas the mining workers are certainly not in one place. Therefore, this study focuses on wifi transmission media. Sensor data transmitted to the control center will be sent through the Application Programming Interface (API) and the data will be stored in a database so that monitoring can be done through a web-based information system. With this dynamic network, it is hoped that the main control center can send or receive emergency messages and also know the environmental conditions at the mining industry location in an integrated manner so that it can determine the security status for mining workers in the field.
Mining is one of the jobs that has a high risk, whether it's the risk of work accidents, exposure to harmful gases or chemicals, to being susceptible to chronic diseases. Occupational safety and health in the mining industry area has strict procedures to ensure a safe work environment. The purpose of this study is to reduce accidents and improve work safety systems in the mining industry which are often affected by changes in temperature, humidity, and levels of harmful gases in the work environment. Temperature, humidity, and gas sensors connected to the Internet of Things (IoT) can be used to detect these problems. Packaged in the form of a smart helmet equipped with a Global Positioning System (GPS) sensor, a buzzer and an emergency button, data from the sensor is sent from the NodeMCU to the control center using wifi by implementing a mesh network. Even though wifi has shortcomings in transmission distance, it is still an option because during the transmission process, data is sent sequentially on a mesh network, which is useful in expanding the range. In addition, by activating the mesh feature using the PainlessMesh library on the NodeMCU, these networks can automatically connect to each other so that data can be sent to the control center. While one other transmission medium such as Long Range (LoRa) in general can only broadcast data to all LoRa networks. LoRa can run a mesh network but is static. Each device must be programmed individually for mapping until it can only connect to one specific device. This condition makes the use of LoRa using a mesh network currently not possible because in mining areas the mining workers are certainly not in one place. Therefore, this study focuses on wifi transmission media. Sensor data transmitted to the control center will be sent through the Application Programming Interface (API) and the data will be stored in a database so that monitoring can be done through a web-based information system. With this dynamic network, it is hoped that the main control center can send or receive emergency messages and also know the environmental conditions at the mining industry location in an integrated manner so that it can determine the security status for mining workers in the field.
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