Apparatus and method for assessing and predicting risk of climbing a roof

Abstract

A roof fall risk assessment and forecasting device and method of the present invention includes several electromagnetically driven impact devices uniformly fixed on the roof of the roadway and a three-dimensional laser scanner for scanning the roof of the roadway and obtaining its position data, and also includes a device for receiving 3D laser scanner data information and computer workstation for information processing. The invention can actively apply the impact load to make the roof vibrate up and down and realize the assessment and prediction of the risk of the roof falling.

Description

technical field [0001] The invention belongs to the field of mining, and in particular relates to a roof fall risk assessment and prediction device and method. Background technique [0002] Roadway roof fall is one of the main safety hazards in the safety production of coal mines in my country. Once it occurs, it will cause huge casualties and economic losses. Therefore, effective prediction and monitoring of roof fall is particularly important. At present, the prediction of roadway roof fall accidents mainly uses mathematical methods such as analytic hierarchy process and neural network to establish mathematical models to determine the level of roof fall hazards. This method is greatly affected by human subjective factors, and it is difficult to guarantee its accuracy; Drilling holes on the roof to peep and detect the breakage of the roof rock layer to predict the hidden danger of roof fall is a time-consuming, laborious, complicated operation and low accuracy. At present...

AI Technical Summary

Problems solved by technology

At present, the prediction of roadway roof fall accidents mainly uses mathematical methods such as analytic hierarchy process and neural network to establish mathematical models to determine the level of roof fall hazards. This method is greatly affected by human subjective factors, and it is difficult to guarantee its accuracy; Drilling holes on the roof to peep and detect the brokenness of the top rock layer to predict the hidden danger of roof fall. This method is time-consuming, laborious, complicated to operate and not very accurate.

At present, the monitoring of the roof of the roadway mainly uses instruments such as a layer separation instrument to monitor the deformation of the roof or the force change of the anchor rod and anchor cable. Although real-time monitoring of the roof can be realized, there are also problems such as long monitoring period, time-consuming, laborious, and untimely early warning. , Complicated operation, fixed observation position and other limitations

The above methods are all passive monitoring and prediction of roof fall hazards, it is difficult to proactively make accurate judgments on potential falling objects, and to issue early warnings of roof fall hazards in the early stages of roof fall hazards

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