Coal Mine Safety Risk Intelligent Control And Information Decision Analysis System

The safety of coal mine is related to the life of miners.It is an important link to ensure the safety production of coal mine to find out the hidden danger in time.At present,the investigation of coal mine safety hazards mainly adopts the way of safety inspection personnel going down the coal mine well in person,and records the existing hidden safety problems through safety supervision briefing.There are some problems in this way,such as large error of manual recording data,untimely data transmission and unfavorable to the preservation of record files,Some enterprises use the way of computer software to deal with the hidden danger data,but their ability to analyze the data is poor,and the processing of hidden danger is not fast enough.In view of the above problems,the improved particle swarm optimization(PSO)and convolution neural network(CNN)algorithm to design the coal mine safety risk intelligent control and information decision analysis system is applied in this paper.The system has functions such as data intelligent analysis,risk early warning and accurate decision-making.The article first introduces the research background and significance of coal mine safety risk intelligent control and information decision analysis system,as well as the research status of coal mine related fields at home and abroad.It comprehensively analyzes the problems existing in coal mine safety production.And according to the actual demand of coal mine enterprises for the system,the framework of intelligent control and information decision analysis system for coal mine safety risk is established.On this basis,the improved PSO and CNN are applied to the data processing and safety risk classification of coal mine hidden danger.The data intelligent screening model based on PSO and the security risk intelligent classification model based on CNN are constructed.The intelligent management and control of coal mine safety risk and information decision analysis system are researched and developed from eight functional modules of data information management,mine safety risk management,database interface management and decision bulletin generation by using a variety of programming languages.Among them,the accurate and intelligent data processing method reduces the errors,and the cloud server solves the problems of record file preservation.Finally,the application results show that the system improves the accuracy of the classification of security risks,and has a more timely early warning of the identified security risks,thus effectively reducing the frequency of security risks.Fig.[50]Table[19]Reference[81]...