济宁三号煤矿的监测与预测预报系统

Monitoring and Forecasting System Applied on Concrete-lined Shaft Wall in Jining No.3 Mine

介绍了混凝土井壁结构受力远程自动监测与预测报系统在济宁三号煤矿副井的应用,监测系统采用信息网络技术实现远程自动监测,通过电话拨号的手段,利用计算机进行有关数据的自动采集、数据传输、自动报警等功能。预测预报系统基于Windows操作平台,选取Delphi7.0和Matlab6.1作为预测预报软件开发工具,采用灰色预测模型(等距灰色模型、非等距灰色模型、优化灰色模型)及改进的BP神经网络预测模型(有动量的梯度下降法、Levenberg-Marquardt算法)对混凝土井壁结构的受力状态进行预测。本系统在济宁三号煤矿副井中成功监控了注浆的整个过程,起到了指导合理施工、检验治理效果的作用。

The long-distance, antomatic monitoring and forecasting system applied on the mechanical characteristics of the concrete-lined shaft wall in Jining No. 3 Mine is introduced here. The long-distance monitoring is achieved by the technique of informarion and network, that is, the data are collected, transmitted and alarmed by the telephone and the computer. The forecasting system of the concrete-lined shaft wall is exploited with Delphi7. 0 and Matlab6.1. On the basis of the gray prediction models （the equidistant gray model, the non-equidistant gray model, the optimized gray model） and the improved BP neural network models（the gradient descending algorithm of having momentum and Levenberg-Marquardt algorithm）, the mechanical characteristics of the concrete-lined shaft wall are predicted. Through the application of this system in Jining No. 3 Mine, it is proved that the system can supervise and optimize the designing and operating of the renovation.