Integrated Development And Implementation Of Multi-source Information Comprehensive Evaluation System For Water Inrush Risk From Coal Floors Based On CS Architecture

The trend of coal resources as the main carrier of energy consumption remains unchanged.One of the key problems affecting coal production is the frequent occurrence of water hazards in coal mines,and the research on the risk evaluation of water inrush from the coal seam floor is of great significance in ensuring safe mining and coal production in mines.Currently,the evaluation of water inrush from the floor needs to rely on multi-platform operation to obtain the risk of water inrush in the target coal seam.The risk results of water inrush,model evaluation and the steps of result research are largely separated.The calculation process is complex and not intelligent enough.Most of the water inrush research is based on the subjective analysis method as AHP(Analytic Hierarchy Process)to construct the water inrush evaluation model.Not only the model is single and subjective,but also depends on expert experience.Therefore,in order to solve these problems,this paper designs and develops the integrated multi-model water inrush risk comprehensive evaluation integrated system,so that the system can be used by a wider range of personnel.According to the risk assessment process of floor water inrush,the system architecture design,database design and functional structure design are carried out,a new mathematical weight algorithm application model is introduced to explore the internal objective laws of the index data,and a new floor water inrush evaluation model is constructed.Based on GIS space theory and software engineering technology,the development of multi-source information comprehensive evaluation system which has the ability to process data which is from the source datas to the result layers for the risk assessment of floor water inrush is completed;Finally,taking the Longfeng Coal Mine in Jinsha County,Guizhou Province as an example,the risk of water inrush from the coal seam floor of the mine field is evaluated by integrating multi-source heterogeneous index information.The main research results and innovations of this paper are as follows:An integrated system for comprehensive evaluation of multi-source information on the risk of water inrush from the floor was developed.Based on the system functional requirements,high data security requirements,strong professionalism and fast response speed,the system has established a C/S(client/server)three-tier architecture,a relational SQL Server database,and designed a functional structure.According to the existing research results,combined with GIS space technology,nine influential factors with strong universality are selected from the three aspects of the floor water-filled aquifer,the water-resistance performance of the aquifer and the geological structure,as the evaluation index of the water inrush risk of the floor.in the system.The weight quantization module introduces the entropy weight algorithm model,the CRITIC algorithm model and the machine learning method-the random forest algorithm model,and combines the overlapping index method and the water inrush coefficient method to establish two evaluation and prediction models,and uses software engineering technology for module development.The system integrates multiprocess calculation,serial data processing-index quantification-model weightingcomparative analysis-risk evaluation and visualization modules,and the integration of multi-weight calculation models and evaluation methods,and can meet the collaborative and unified processing requirements of the risk evaluation of water inrush from mining coal seam floor.Taking Longfeng Coal Mine as a system application example,the spatial distribution differences of the evaluation indexes of water inrush risk from the floor of the coal seam are analyzed.Through the system-integrated overlapping index evaluation model,the comprehensive evaluation zoning map of the water inrush risk of the floor is obtained,and compared with the evaluation results of the traditional water inrush coefficient method.The overlapping index evaluation method can better determine the local area than the traditional water inrush coefficient evaluation method.The risk of water inrush from the coal seam floor.In the evaluation of water inrush from the floor of Longfeng Coal Mine,the risk of water inrush from the coal seam floor in rearch area is relatively strong in the southern region and fault fold development zone in the north,and the spatial and temporal distribution characteristics are relatively small in the north and south of the central region,and the central region is in a relatively safe area of water inrush risk.In the multi-model calculation results,there are certain local differences in the spatial distribution of water inrush risk.Among them,the overlapping index evaluation model combined with the random forest algorithm performs the best in water inrush risk assessment.Especially in the affected and damaged areas of faults and folds,the random forest model is clearly distinguished,showing good data mining ability,and the results are more reasonable and accurate.The application of water inrush evaluation from the floor of Longfeng Coal Mine further verifies the reliability and practicability of the system.