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Smart miner helmet and monitoring system in Rwanda. A case of RUTONGO mines, Gasabo district

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dc.contributor.author UWANTEGE, Stellah Prossy
dc.date.accessioned 2022-06-29T14:37:02Z
dc.date.available 2022-06-29T14:37:02Z
dc.date.issued 2022-01-20
dc.identifier.uri http://hdl.handle.net/123456789/1599
dc.description Master's Dissertation en_US
dc.description.abstract The use of technology within the mining industry in Rwanda has grown to be difficult to avoid deaths in mines; it's for this reason that the protection of the miner is an essential aspect from risks outside and inside the mining tunnels. The process of digging minerals in the underground has many dangerous factors such as concentration level of gases such as carbon monoxide, sulfur dioxide, nitrous gases, carbon dioxide, change in temperature, moisture and airflow, and other hazards like falling of caves, leakage of dangerous gases, humidity and temperature change which can lead to death due to failure to report their prevalence on time; The development of an IoT solution called Smart miner helmet and monitoring system provides real-time communication and monitoring between miners in the underground site and control room administrator for all level of substances from the underground by getting real-time data probed by sensors on microcontroller deployed within the miner’s helmet. This whole system proposed to develop a SMART MINER HELMET AND MONITORING SYSTEM using technologies such as Internet of Things (IoT), wireless network networks, cloud computing, the data processing server to help miners improve the way mines are safely used using sensors to monitor different levels of gas, humidity, temperature, and hazards. The proposed system will provide information about the miner conditions specifically on measuring gas levels, humidity, and temperature, and help miners and supervisors to take precise decisions. logistic regression, decision tree classifier, and k-nearest classifier were used to measure the gas levels, and the best model was Decision Tree 84% accurate, Precision of 61%, and Recall 62%. en_US
dc.language.iso en en_US
dc.publisher College of science and Technology en_US
dc.subject Smart system, IoT mining, Data visualization, Technology convergence en_US
dc.title Smart miner helmet and monitoring system in Rwanda. A case of RUTONGO mines, Gasabo district en_US
dc.type Dissertation en_US


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