Mine water-bursting predicting system based on information fusion

Abstract

The invention discloses a mine water inrush prediction system based on information fusion, which includes an information collection device and a computer with a GIS (Geographic Information System) and an information fusion processing system for processing the collected signals. The information collection device can scan through graphics , data transmission and other means to extract information related to water inrush; it can also obtain various parameters from mine hydrological monitoring in real time, transfer the information of discrete points in the prediction area to the computer, optimize sample information, and use information fusion Methods A water inrush prediction model was constructed to predict the water inrush and determine the safety status of the prediction area to make the prediction results more accurate, reasonable and practical.

Description

technical field [0001] The invention relates to a mine water inrush prediction system based on information fusion. Background technique [0002] In mines, there is often a highly pressurized aquifer under the floor. During the mining process, once the floor rock cannot withstand the water pressure of the aquifer, the pressurized water below will protrude, causing well flooding accidents and seriously endangering mines and miners. Therefore, the prediction of mine water inrush is extremely important. At present, the conventional water inrush prediction method is the water inrush coefficient method. The parameters used are the thickness of the aquifer and the water pressure value. At the same time, because the operation point of mining activities is constantly advancing, the degree of geological exploration before mining is limited, and the hydrogeological data can only be fully grasped after mining, so the data that can be used to predict floor water inrush are often incompl...

AI Technical Summary

Problems solved by technology

At present, the conventional water inrush prediction method is the water inrush coefficient method. The parameters used are the thickness of the aquifer and the water pressure value. At the same time, because the operation point of mining activities is constantly advancing, the degree of geological exploration before mining is limited, and the hydrogeological data can only be fully grasped after mining, so the data that can be used to predict floor water inrush are often incomplete. In addition, there are many factors affecting floor water inrush, including factors such as geological structure and mine pressure, which make it difficult for water inrush prediction to fully match the actual situation.

If the predicted insurance factor is too low, water inrush accidents may occur during the mining process; if the predicted insurance factor is too high, it will cause a huge waste of resources

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