{"title":"基于物联网采矿系统事故预测的模糊方法","authors":"Deepak Majhi, N. Adhikari, M. Rao, Sampad Sahoo","doi":"10.2139/ssrn.3517169","DOIUrl":null,"url":null,"abstract":"The number of accidents in the mining industry is reportedly increasing. Internet of things (IoT) can be explored for monitoring mines, but analysis and predictions can prevent accidents. The main parameters that increase the possibility of accidents are worker experience, age factor, shift time, and stress of worker. An IoT based Mining System can help in tracking the movements of the workers in the mine while using cloud intelligence, and accidents can be predicted and thus avoided. The paper presents a novel fuzzy based technique to predict the possible occurrence of accidents.","PeriodicalId":120189,"journal":{"name":"EngRN: Embedded System (Topic)","volume":"7 ","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Fuzzy Approach for Accident Prediction in IoT based Mining System\",\"authors\":\"Deepak Majhi, N. Adhikari, M. Rao, Sampad Sahoo\",\"doi\":\"10.2139/ssrn.3517169\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The number of accidents in the mining industry is reportedly increasing. Internet of things (IoT) can be explored for monitoring mines, but analysis and predictions can prevent accidents. The main parameters that increase the possibility of accidents are worker experience, age factor, shift time, and stress of worker. An IoT based Mining System can help in tracking the movements of the workers in the mine while using cloud intelligence, and accidents can be predicted and thus avoided. The paper presents a novel fuzzy based technique to predict the possible occurrence of accidents.\",\"PeriodicalId\":120189,\"journal\":{\"name\":\"EngRN: Embedded System (Topic)\",\"volume\":\"7 \",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-01-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"EngRN: Embedded System (Topic)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.3517169\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"EngRN: Embedded System (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3517169","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Fuzzy Approach for Accident Prediction in IoT based Mining System
The number of accidents in the mining industry is reportedly increasing. Internet of things (IoT) can be explored for monitoring mines, but analysis and predictions can prevent accidents. The main parameters that increase the possibility of accidents are worker experience, age factor, shift time, and stress of worker. An IoT based Mining System can help in tracking the movements of the workers in the mine while using cloud intelligence, and accidents can be predicted and thus avoided. The paper presents a novel fuzzy based technique to predict the possible occurrence of accidents.
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