{"title":"基于人工智能和机器学习的煤矿安全测量与风险评估","authors":"Sundas Matloob, Yang Li, Khurram Zaman Khan","doi":"10.4236/OJBM.2021.93064","DOIUrl":null,"url":null,"abstract":"Safety is \na legal requirement of mining industry. \nEffective safety measurements and risk management can serve the mine \nadministration to lessen the dangers recognized in the mine. Autonomous \ntechnologies, such as Artificial Intelligence (AI) and Machine Learning (ML) \nmodels have been integrated with the mining industry to ensure a safe working \nenvironment since a decade ago in the form of fully unmanned workfaces and mining robots. These autonomous \ntechnologies provide effective risk assessment as well as many economic profits \nsuch as cost reduction, continuous production, reducing labors exposure in \ndangerous environments, and enhanced protection. The main objective of this \npaper is to highlight the unidentified hazards during mining and find the \nsolutions to those hazards by using AI and Machine Learning. In addition, this paper \nwill also contribute a worthy resource for explaining the AI advancements in \nrisk assessment in the mining industry. Another advantage of this paper is to \nfill the gaps in modern techniques and AI advancements in the safety \nmeasurements of coal mining industry.","PeriodicalId":411102,"journal":{"name":"Open Journal of Business and Management","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Safety Measurements and Risk Assessment of Coal Mining Industry Using Artificial Intelligence and Machine Learning\",\"authors\":\"Sundas Matloob, Yang Li, Khurram Zaman Khan\",\"doi\":\"10.4236/OJBM.2021.93064\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Safety is \\na legal requirement of mining industry. \\nEffective safety measurements and risk management can serve the mine \\nadministration to lessen the dangers recognized in the mine. Autonomous \\ntechnologies, such as Artificial Intelligence (AI) and Machine Learning (ML) \\nmodels have been integrated with the mining industry to ensure a safe working \\nenvironment since a decade ago in the form of fully unmanned workfaces and mining robots. These autonomous \\ntechnologies provide effective risk assessment as well as many economic profits \\nsuch as cost reduction, continuous production, reducing labors exposure in \\ndangerous environments, and enhanced protection. The main objective of this \\npaper is to highlight the unidentified hazards during mining and find the \\nsolutions to those hazards by using AI and Machine Learning. In addition, this paper \\nwill also contribute a worthy resource for explaining the AI advancements in \\nrisk assessment in the mining industry. Another advantage of this paper is to \\nfill the gaps in modern techniques and AI advancements in the safety \\nmeasurements of coal mining industry.\",\"PeriodicalId\":411102,\"journal\":{\"name\":\"Open Journal of Business and Management\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Open Journal of Business and Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4236/OJBM.2021.93064\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Open Journal of Business and Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4236/OJBM.2021.93064","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Safety Measurements and Risk Assessment of Coal Mining Industry Using Artificial Intelligence and Machine Learning
Safety is
a legal requirement of mining industry.
Effective safety measurements and risk management can serve the mine
administration to lessen the dangers recognized in the mine. Autonomous
technologies, such as Artificial Intelligence (AI) and Machine Learning (ML)
models have been integrated with the mining industry to ensure a safe working
environment since a decade ago in the form of fully unmanned workfaces and mining robots. These autonomous
technologies provide effective risk assessment as well as many economic profits
such as cost reduction, continuous production, reducing labors exposure in
dangerous environments, and enhanced protection. The main objective of this
paper is to highlight the unidentified hazards during mining and find the
solutions to those hazards by using AI and Machine Learning. In addition, this paper
will also contribute a worthy resource for explaining the AI advancements in
risk assessment in the mining industry. Another advantage of this paper is to
fill the gaps in modern techniques and AI advancements in the safety
measurements of coal mining industry.