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Research And Application Of Coal Mine Safety Supervision System In Big Data

Posted on:2021-03-26Degree:MasterType:Thesis
Country:ChinaCandidate:J WangFull Text:PDF
GTID:2381330614456270Subject:Safety engineering
Abstract/Summary:PDF Full Text Request
Coal mine enterprises have generated a large amount of hidden danger data during safety inspections.With the application of computer and sensor technology in coal mine production,the big data features of hidden dangers in coal mines are becoming more and more obvious.Its large volume,fast generation speed and various modals,low density.The traditional coal mine safety monitoring system has been difficult to meet the needs of coal mining enterprises in the times of big data,so introducing big data technology into coal mine safety production and establish a big data coal mine safety monitoring system is necessary.The big data coal mine safety monitoring system uses foreground-background separation technology,the front-end uses the Vue framework,and the back-end uses the Springboot framework.In terms of storage modules,due to the feature of coal mine safety hazard data include large volume,fast generation speed and various modals,systems must be able to store massive data,increase capacity quickly by adding hardware,store large and various data and back up data.Therefore,it is proposed to establish a storage model based on HDFS.In terms of analysis modules,due to the low value density of hidden danger data in coal mines,a data mining algorithm under the framework of parallel computing was proposed to solve the analysis of hidden danger data in coal mines,and it is proposed to establish a analysis model based on Map Reduce.In terms of display modules,because human vision has better ability to perceive graphics than text and numbers,it is proposed to use visualization technology to map the hidden danger information of coal mines into interactive charts and display them.It is proposed to establish a display model based on Vue.In terms of user module,according to the daily production characteristics of the coal mine,three roles was designed,include ordinary employees,manager and operator.According to roles,we designed registration and login,assessment management,hidden danger management,viewing hidden danger statistics and reports,personnel management and log management and other functions.The big data coal mine safety monitoring system enables the massive coal mine safety hazard data collected by monitoring equipment to be effectively stored,analyzed,and displayed,which is of great significance for reducing the occurrence of coal mine accidents and promoting the safe production of coal mine enterprises.
Keywords/Search Tags:big data, coal mine, safety supervision system
PDF Full Text Request
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