关键词: 开采沉陷, 地表移动变形, 数据处理, C#开发, 预计模型

Abstract: In view of the shortcomings of large amount of data processing and unstable calculation of prediction parameters of mining subsidence surface movement and deformation,an integrated system of mining subsidence movement and deformation data processing and prediction is developed by using C# programming language based on the advantages and disadvantages of different computer languages and adotping the word and CAD softwares.The system integrates the functions of data management,movement deformation calculation,report output and movement deformation curve drawing in accordance with CAD,and constructs a Logistic single point prediction settlement model based on artificial fish school algorithm (AFSA).The system is applied to 1414 (1) working face of Guqiao Coal Mine.The test results show that:① the system is characterized by strong compatibility and simple operation,which improves the accuracy and efficiency of mining subsidence surface movement and deformation data processing.The horizontal deformation curves and the corresponding coal seam is plotted in CAD software according to a certain proportion,which is convenient to obtain the corresponding values of each angle,distance parameter and any point of the surface movement basin from the map,and overcome the shortcomings of the traditional method,which can only be viewed and cannot be quantitatively analyzed.② Combined with the measured subsidence data,the Logistic single point prediction model based on AFSA is applied.The maximum absolute errors of the two selected points are 143.6 mm and 132 mm respectively,and the mean square error of fitting is 65.6 mm and 55.8 mm respectively.The fitting effects of the parameters is in line with the engineering application standard.

Key words: mining subsidence,surface movement and deformation,data processing,C# development,prediction model