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Graphical Model-Based Control Method and Storage Medium for Roof Support of Hydraulic Support Group

A technology of hydraulic support and control method, applied in biological neural network model, neural architecture, design optimization/simulation, etc., can solve the problems of ineffective mining of top coal and waste of resources, and achieve the effect of being conducive to safety support

Active Publication Date: 2021-09-07
HENAN POLYTECHNIC UNIV
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  • Summary
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the top coal recovery rate of fully mechanized caving mining in my country is only about 80%, and a large amount of top coal cannot be effectively mined, resulting in a huge waste of resources

Method used

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  • Graphical Model-Based Control Method and Storage Medium for Roof Support of Hydraulic Support Group
  • Graphical Model-Based Control Method and Storage Medium for Roof Support of Hydraulic Support Group
  • Graphical Model-Based Control Method and Storage Medium for Roof Support of Hydraulic Support Group

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Embodiment Construction

[0050] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.

[0051] The invention provides a method for controlling the roof support of a hydraulic support group. The method realizes the establishment of a system-level model of the hydraulic support group through a conditional random field graph model, and then realizes the prediction of the roof support decision of the hydraulic support group.

[0052] Method of the present invention comprises the following steps:

[0053] 1. Establishment of conditional random field graph model of hydraulic support group

[0054] According to the characteristics of the spatial distribution and action timing of the hydraulic support group, the optimal decision-making model is abstracted into a graphical model, as shown in Figure 3.

[0055] The conditional random field is the conditional probability distribution P(Y|X) that outputs the Markov random field Y u...

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Abstract

The invention provides a graphical model-based method for controlling the roof support of hydraulic support groups and a storage medium, and makes decisions on the control process of hydraulic support groups through the graphical model. The decision-making result is based on two factors: one is the decision-making of a single rack itself, and the other is the relationship between racks. Among them, the decision-making of a single frame is obtained through the prediction of the deep neural network, and the correlation between the frames is determined through the pairwise potential function of the graphical model. The invention provides a system-level model for the action decision-making of the hydraulic column of the hydraulic support group and the cover beam, and the decision-making process is also completed at the system level, which is more conducive to the safety support of the fully mechanized caving face.

Description

technical field [0001] The invention relates to a method for controlling the roof support of a hydraulic support group, in particular to a method for controlling the roof support of a hydraulic support group in a fully mechanized caving working face based on a graphical model. Background technique [0002] At present, the roof control method of the downhole hydraulic support is completed manually, and the operator sets a fixed initial support force according to experience to make the hydraulic column rise. When there are unfavorable situations such as the lowering of the side and top coal, manually operate the cover beam and hydraulic column of the hydraulic support to make corresponding operations. Manual operation cannot comprehensively consider the overall dynamic status of the roof of the working face, and cannot effectively take into account the performance of the working face level, let alone realize the automatic control of the hydraulic support group. The root cause ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/23G06F30/27G06N3/04
CPCG06F30/23G06N3/045
Inventor 杨艺王宇李冰峰李新伟张旭和李华敏崔立志王科平
Owner HENAN POLYTECHNIC UNIV
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