Intelligent decision-making method for machine following propulsion behavior of hydraulic support group
A technology of hydraulic support and intelligent decision-making, which is applied in mine roof supports, earth square drilling, mining equipment, etc., and can solve problems such as poor adaptability of supports and machines
Active Publication Date: 2020-07-31
TAIYUAN UNIV OF TECH
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Problems solved by technology
[0004] In order to solve the technical problem that the current decision-making method of hydraulic support group follow-up behavior will lead to poor support follow-up adaptability, the present invention provides an intelligent decision-making method for hydraulic support group follow-up propulsion behavior
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[0059] The present invention will be further described in detail with reference to the accompanying drawings and embodiments.
[0060] The movement variables of the support behavior are the action type and the action speed of the support. The order of the action types determines the action sequence of the support, and the action speed is affected by the power of the fluid supply. The decision-making principle of the two variables can be attributed to the coordination of the action sequence of the support group and the response regulation of the fluid supply power. The bilevel programming problem. Based on this, the idea of the intelligent decision-making method provided by the embodiment of the present invention is as follows: with the support adapting to the speed of the shearer (appropriate speed), precise action and stable pressure (precise stability) as the multiple decision-making objectives, control the timing sequence of any feasible support combination action The liq...
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The invention provides an intelligent decision-making method for a machine following propulsion behavior of a hydraulic support group, belongs to the field of hydraulic support control, and aims to solve the problem of poor support machine following adaptability caused by a method in the prior art. The method comprises the following steps of: carrying out time sequence planning on the machine following action of the hydraulic support to determine an action time sequence feasible set of the machine following propulsion behavior of the hydraulic support group; determining an adjusting range andadjusting precision of the liquid supply flow as a lower-layer decision space, and determining a liquid supply power regulation and control time sequence corresponding to each feasible support combination action control time sequence in the lower-layer decision space; predicting the average machine following speed of the hydraulic support group and the pressure state evaluation score of the liquidsupply system when the hydraulic support group is controlled by each feasible support combination action control time sequence; calculating the overall satisfaction degree of each feasible support combination action control time sequence; and determining a support combination action control time sequence and a liquid supply power regulation and control time sequence of the machine following propulsion behavior of the hydraulic support group according to the overall satisfaction degree of all feasible support combination action control time sequences.
Description
technical field [0001] The invention relates to the technical field of hydraulic support control, in particular to an intelligent decision-making method for hydraulic support group follow-up propulsion behavior. Background technique [0002] The coordinated advancement and precise control of fully mechanized mining equipment in the working face is one of the key core technologies of smart mines. Through the coordinated and intelligent operation of the fully mechanized mining equipment groups in the mining-loading-transportation-supporting process links, the full-mechanized coal mining face is realized. The process is a safe and efficient mining technology of "unmanned follow-up operation, manned safety inspection". Intelligent decision-making refers to self-sensing analysis and making control decisions based on the current state of equipment, spatial location information, production operation and safety rules, etc. The intelligent decision-making of fully mechanized mining ...
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Login to View More IPC IPC(8): E21D23/14E21D23/26
CPCE21D23/14E21D23/26
Inventor 付翔王然风
Owner TAIYUAN UNIV OF TECH