Method for identifying and monitoring water-conducting path of water inrush source based on similarity simulation test

A method for identifying and monitoring a water-conducting path of a water inrush source based on a similarity simulation test, comprising:

• S1, collecting mining area data, determining lithology and a laying thickness of each rock stratum in a mining area, and performing similar material proportioning for the determined lithology of each rock stratum;
• S2, using an exothermic material as a layered material for the similarity simulation test;
• S3, using a similarity simulation test system for a water inrush from a coal seam floor during mining to lay a test material and construct a similarity simulation test environment;
• S4, deploying an infrared thermal imager to measure infrared heat of the similarity simulation test environment;
• S5, during a mining process, using the infrared thermal imager to obtain a real-time thermal image and a real-time temperature value, thereby preliminarily identifying and monitoring a water inrush path;
• S6, after the mining process ends, exporting a measurement result, and obtaining and analyzing measurement data to obtain the water inrush path;
• and
• S7, performing comparative analysis on the real-time thermal image and a path image obtained through algorithmic processing to obtain a detailed and accurate test result;
• wherein the step S5 comprises:
• S5.1, during the mining process, using the infrared thermal imager to monitor the similarity simulation test in real time and obtain the real-time thermal image and the real-time temperature value through a conversion function of the infrared thermal imager;
• and
• S5.2, performing real-time analysis on the thermal image to implement visual monitoring of the water inrush path formed during an upward conduction process of high confined water;
• wherein the step S5.1 comprises:
• S5.11, continuously scanning, by the infrared thermal imager, a simulated mining area and collecting temperature data of the simulated mining area in real time;
• and
• S5.12, detecting, by the infrared thermal imager, infrared energy in a non-contact manner, converting the infrared energy into an electrical signal, and generating the real-time thermal image and the real-time temperature value on a display;
• the step S5.2 comprises:
• S5.21, in the thermal image, causing high-pressure water to flow and undergo a chemical reaction with a component in the exothermic material to release thermal energy and result in a local temperature anomaly, identifying an area with a rapid temperature increase or decrease, and analyzing a movement trajectory of water flow, to make the water inrush path gradually appear in the thermal image;
• and
• S5.22, generating a continuous thermal image sequence at a set frequency, performing real-time monitoring, comparing thermal images at different moments, and analyzing a dynamic temperature change process to show an extension and a trend of the water inrush path as displacement and diffusion of a temperature anomaly zone in the thermal image;
• and
• the step S6 comprises:
• S6.1, after the mining process ends, exporting the measurement result from a storage system of the infrared thermal imager to obtain the measurement data;
• and
• S6.2, using a total variation-Retinex (TV-Retinex) algorithm to process the exported image data and obtain the water inrush path;
• wherein the step S6.2 of using the TV-Retinex algorithm to process the exported image data comprises:
• S6.21, preprocessing original image data, comprising:
• performing noise reduction, wherein a Gaussian filtering or median filtering technology is used to remove noise and eliminate a random temperature change that affects path identification;
• and
• performing contrast enhancement, wherein image contrast is adjusted through histogram equalization to enhance overall visibility of the thermal image, to make the water inrush path more visible in the thermal image;
• and
• S6.22, combining the TV-Retinex algorithm with a Retinex theory and a total variation regularization technology to enhance a preprocessed image, comprising:
• using a Retinex theory model to perform illumination correction and color constancy processing on the thermal image;
• and
• processing the thermal image by using a total variation regularization method to remove noise and an artifact introduced during processing.