Roadway surrounding rock deformation real-time prediction method

Abstract

The invention relates to a roadway surrounding rock deformation real-time prediction method, which comprises the steps that 1) acquiring deformation data of roadway surrounding rock monitoring points in real time by displacement sensors, and storing the surrounding rock deformation data acquired in real time into a historical database; 2) carrying out processing by using the surrounding rock deformation data stored in the historical database as a time sequence, and extracting surrounding rock deformation time sequence data of some monitoring points required to be predicted, wherein the time is the actual time when the surrounding rock deformation data is acquired through the displacement sensors, and a surrounding rock deformation monitoring value acts as a dependent variable of the time; 3) respectively carrying out phase-space reconstruction on the surrounding rock deformation time sequence data extracted from the historical database by using a chaos theory; 4) respectively carrying out prediction on data acquired through phase-space reconstruction in the step 3) by using a particle swarm support vector machine, and acquiring predicted values; and 5) judging whether deformation prediction is required to be carried out on other relevant monitoring points or not, if so, returning back to the step 1), if not, terminating prediction, and carrying out accumulation on the predicted values so as to acquire a surrounding rock deformation prediction result.

Description

technical field [0001] The invention relates to the field of mine roadway surrounding rock prediction, in particular to a method for real-time prediction of roadway surrounding rock deformation based on chaos-particle swarm support vector machine. Background technique [0002] With the continuous development of the national economy, the demand for mineral resources is also increasing, which leads to the continuous development of mining technology and the continuous increase of mining depth. Due to the continuous increase of the mining depth, the stress of the surrounding rock of the roadway changes significantly during the mining process, resulting in significant deformation of the surrounding rock. There are many influencing factors on the deformation of roadway surrounding rock, such as the characteristics of ore body, the characteristics of rock strata, the change of ground stress, etc. As far as the current research situation is concerned, the research on the relationshi...

AI Technical Summary

Problems solved by technology

However, a large number of empirical studies have shown that the above method does not solve the problem of dynamic prediction of roadway surrounding rock deformation well, because the deformation of roadway surrounding rock is closely related to various factors such as rock mass characteristics, ore body characteristics, daily progress, and daily production. However, these influencing factors themselves have complex nonlinear relationships, and traditional methods have been unable to accurately predict the deformation of surrounding rocks in roadways.

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