Coal mining water inrush early warning method based on GIS technology

Abstract

The present invention provides a coal mining water inrush early warning method based on a GIS technology. The system comprises one or more than one clients, a wireless sensor terminal and a PC input terminal; a GIS subsystem and a database server are connected with the PC input terminal through the wireless sensor terminal to store each real-time information; the wireless sensor terminal and the PC input terminal transmit the site monitoring information to the database server; the GIS subsystem requires updating the information in real time to the database and realizes the synchronization with the database server; and the clients synchronously receive the information from the database server and timely follow the real-time conditions of the downhole. The coal mining water inrush early warning method based on the GIS technology performs numerical modeling of underground coal mine multi-tunnel coupling with any angle to realize the visual and rapid display early warning of the macroscopic speed of each point of the virtual tunnel model.

Description

technical field [0001] The invention relates to an underground coal mine water inrush prediction system, in particular to a coal mine water inrush prediction system based on GIS technology. Background technique [0002] my country's coal mine water disaster prevention mostly stays at the level of manual experience water control, which has a certain degree of human subjectivity, and lacks a computer-aided decision-making coal mine water inrush prediction system, which is not conducive to intuitive and effective coal mine water inrush prediction. Some existing system research focuses on the construction of basic functional modules, which improves production efficiency to a certain extent, but does not include the research and implementation of scientific early warning models, and has not substantively studied the problem of water inrush early warning, and incorporated it Improve to the scientific research level of big data cluster analysis. In the study of water inrush spread...

AI Technical Summary

Problems solved by technology

However, the model does not realize the interface of on-site data collection, storage and transmission, lacks the real-time performance and timeliness of water inrush prediction, and lacks the application of scientific prediction methods to analyze and predict water inrush data.

At the same time, there is no water inrush extension module, which cannot provide an effective escape plan after the water inrush occurs

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