Distribution type water information monitoring system for underground working face of coal mine

Abstract

A distribution type water information monitoring system for an underground working face of a coal mine is disclosed, belongs to the technical field of underground automation and water disaster prevention and control of the coal mine, and is an automatic monitoring system used for monitoring dynamic water information of an underground working face area of the coal mine. The distribution type water information monitoring system is characterized in that the system can perform non-uniform distribution type multidirectional sensor arrangement and monitor multi-parameter dynamic water burst information in an excavating working face area. The system has the advantages that a non-uniform type multi-point water information monitoring network for a mining working face area is built, an area with hidden dangers is intensively monitored, a wavelet filter is adopted to extract characteristic value sample data, a water burst grade evaluation model is calculated, so that the accuracy of a calculation result is improved. According to an intrinsic safety type digital water level sensor adopting the independent patent technology, the difficult problem of water level measurement in a small water sump and a headrace channel is solved, in addition, the dynamic water information of the working face is connected with a drainage system of a main water sump so as to be beneficial for the advanced detection and early warning of the water disaster and the timely prevention and control of the water disaster.

Description

technical field [0001] The invention discloses a distributed water regime monitoring system for a coal mine underground working face, which belongs to the technical field of coal mine underground automation and water disaster prevention and control, and can be used for an automatic monitoring system for the dynamic water regime in the coal mine underground working face area. Background technique [0002] In recent years, underground water outburst accidents in coal mines have become one of the main reasons for frequent mine disasters. The frequent occurrence of coal mine water disasters not only seriously restricts the efficient and safe mining of coal mines in my country, but also causes heavy casualties and property losses. The national economic loss and social impact caused by wells are immeasurable. [0003] Mine water in coal mines refers to the water that infiltrates into the underground mining space during the coal mining process. The common mine water sources mainly i...

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Problems solved by technology

In recent years, people have paid more and more attention to the monitoring of the dynamic water regime in the underground working face, and more and more applied researches on automatic detection methods, such as Professor Qian Jiansheng of China University of Mining and Technology (Xuzhou) Coal Mine Integrated Automation System Design" (Coal Science and Technology 2011.2 p73-76), proposed the automatic monitoring method of applying the Internet of Things technology to the production site under the coal mine. The specific means of environmental monitoring, the invention patent of Professor Zhang Yingmei of Taiyuan University of Technology "A Flameproof and Intrinsically Safe Digital Automatic Drainage System" (Patent No.: 200710185265.3), is aimed at small water tanks in coal mines, shallow water surface of water guide ditch, dirt Many, there is no suitable sensor for water level monitoring. Invented intrinsically safe digital water level sensor and automatic drainage system, but it is only a single-point measurement and control system. Wei Hongxia, a postgraduate student of Taiyuan University of Technology Evaluation Method and System Design", although the multi-parameter sensor arrangement and water inrush grade evaluation method in the underground working face are proposed, the sensor arrangement is uniformly distributed, and the dense arrangement and key monitoring of key hidden dangers are not considered, and the underground guide No suitable sensor is used for monitoring the water level of the ditch. Although the evaluation method of water inrush level adopts the two-level fusion algorithm of BP neural network and D-S evidence theory, the sensor data is directly used as the sample data of BP neural network without preprocessing, which is easy to cause classification. A series of problems such as low precision, long network training time, difficult convergence and low diagnostic accuracy

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