Intelligent Semantic Acquisition And Wise Decision System For Coal Mine Safety Hazards

The analysis and treatment of coal mine safety hazards is of vital importance to the safe and efficient production of coal mines,and is also highly valued by many coal mining enterprises.Most of the coal mining enterprises use manual methods to collect hidden danger data and write safety production briefs.This method has problems such as large workload,low efficiency,and messy and inaccurate input information.Some coal mine enterprises use computer software to assist data processing,but there are basic Data storage lacks normativeness,and data analysis capabilities are not strong.Aiming at these problems in the safety production of coal mine enterprises,especially the hidden dangers,this paper applies convolutional neural network(CNN)semantic mapping algorithm and improved depth ant colony optimization(ACO)to design a smart collection and intelligent decision system for coal mine safety hazards.The system has functions such as real-time data storage,tracking processing,risk management,analysis and early warning,and scientific decision-making.The article first introduces the research background and significance of the intelligent collection and intelligent decision-making system for coal mine safety hazards and the research status at home and abroad in coal mine related fields.It analyzes the problems existing in the safe production process of coal mine from many aspects and from various angles,and analyzes the actual situation of coal mine enterprises.The functional requirements of the project have established an intelligent collection and intelligent decision-making system architecture for coal mine safety hazards.According to the requirements,the database of intelligent collection and intelligent decision-making system for coal mine safety hazards is constructed,and the detailed fields of the data table are determined.Then,CNN is applied to the intelligent collection of hidden dangers in coal mines,and the intelligent acquisition model based on CNN is constructed.The ACO is used to improve the hidden danger wisdom retrieval and decision model of coal mines,and the programming language such as C# is used to manage the hidden danger data and the risk of security risks.Seven functional modules,such as control and mine file management,have developed the intelligent collection and intelligent decision system for coal mine safety hazards.Finally,through multiple tests and practical applications,the intelligent acquisition and intelligent decision-making system significantly improved the efficiency and accuracy of hidden danger investigation,significantly reduced the frequency of coal mine safety hazards,and provided guarantee for coal mine safety production.Fig.[61] table[8] reference[52]...