Multi-field source monitoring and analysis system for intelligent loading multi-dimensional similar model test

Abstract

The invention discloses a multi-field-source monitoring and analysis system for an intelligent loading multi-dimensional similar model test. The intelligent loading multi-dimensional similar model test system performs construction and loading simulation on a rock stratum model. The system further comprises a strain field monitoring module, a displacement field monitoring module, a temperature field monitoring module, a geoelectric field monitoring module and a dynamic signal monitoring module which are used for detecting the rock stratum model. Each monitoring module comprises a monitoring element arranged inside or on the surface of the rock stratum model and an acquisition instrument used for receiving a monitoring signal of the monitoring element; and the acquisition instrument corresponding to each monitoring module is electrically connected with five looped network switches, and the five looped network switches are electrically connected with the data processing / analyzing module. According to the invention, multiple field sources, namely a strain field, a displacement field, a temperature field, a geoelectric field and dynamic signals, are adopted to comprehensively and dynamically monitor the deformation and damage of the simulated coal rock stratum, so that the method is more accurate than the conventional single-field-source test method, and the interpretation precision of the deformation and damage of the rock stratum can be greatly improved.

Description

technical field [0001] The invention relates to the technical field of similar physical simulation tests, and more specifically relates to a multi-field source monitoring and analysis system for intelligent loading of multi-dimensional similar model tests. Background technique [0002] my country's coal resources are relatively rich, but the conditions of occurrence are relatively complex, and mining is difficult. At present, the basic research on deep coal mining is relatively weak, which makes the coal industry pay a relatively high price while meeting the needs of energy development. Among them, accurate detection of deformation and damage of mining surrounding rock is the basis for disaster control technologies such as scientific mining, rock formation control, water conservation coal mining, and surface ecological restoration. Many scholars at home and abroad have conducted a lot of in-depth research on the key scientific issues of the deformation and failure mechanism...

AI Technical Summary

Problems solved by technology

[0003] At present, most of the existing similar physical model test frames are in two-dimensional form, which can only be used for plane stress model tests, and it is difficult to obtain three-dimensional spatial feature information during the deformation process of rock formations, and it is impossible to effectively simulate the evolution process of floor water inrush

At the same time, due to the limited size of the model frame, it is often impossible to simulate the entire formation, and it is necessary to apply pressure on the top to achieve the stress condition. At present, most of them use the form of counterweights for manual stacking, which is time-consuming, laborious and has operational risks.

For testing methods, close-range photography, dial indicators, strain gauges, pressure sensors and other means are often used in physical model tests to detect the surrounding rock in the stope. Due to the low test accuracy and mostly point sensors, effective continuous testing cannot be carried out. , real-time test

[0004] To sum up, the existing two-dimensional plane stress model cannot obtain three-dimensional spatial feature information, and cannot effectively simulate floor water inrush; at the same time, the testing method is relatively simple, and most of them are two-dimensional static data volumes, so the dynamic real-time monitoring of the model cannot be carried out. Can no longer meet the current demand for smart mine construction

[0005] Therefore, there is an urgent need for a multi-dimensional, multi-scale similar model test device that is intelligently loaded and can consider the effect of confined water, and is equipped with a multi-field source dynamic monitoring and analysis system, so that it can effectively solve the three-dimensional space existing in the existing models and monitoring methods. Difficult to refactor, low degree of automation, high difficulty in obtaining key information, etc.

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