Health assessment method for hard rock tunneling system

Abstract

The invention relates to a health assessment method for a hard rock tunneling system, and a sensing technology comprises an intelligent sensing module, a data acquisition module, a remote transmission module and an Internet of Things module. The acquired data are input into the hard rock tunneling system for health assessment, and the method mainly comprises the following steps of 1) selecting the health index information according to a hard rock tunneling intelligent sensing module, carrying out data pre-processing and normalization processing; (2) establishing a health assessment model of the hard rock tunneling system according to the health assessment indexes; (3) selecting the health assessment index data in a period of time; (4) establishing a novel whitening weight function and selecting grey classes according to the index data; and (5) subjectively dividing the health index weights according to an analytic hierarchy process, objectively dividing the index weights according to an entropy weight method, and combining the index weights divided according to the two methods to form the subjective and objective health index weights; and 6) according to the combination of a grey clustering method and a combined weighting method, obtaining a comprehensive grey decision to evaluate the health grade. Compared with the prior art, the method has the advantages of being simple and accurate in calculation and the like.

Description

technical field [0001] The invention relates to a health assessment method, in particular to a hard rock excavation system health assessment method. Background technique [0002] With the rapid development of my country's coal industry, the closely related coal machinery industry has also been paid more and more attention. Tunneling and mining are important production links in coal mine production. Tunneling machines play an important role in tunneling, and modern coal machinery is moving towards unmanned In order to ensure the stability and reliability of the excavation equipment, the health of the excavation system also puts forward higher requirements. The health status of tunneling equipment directly affects the efficiency and cost of the entire coal mining system. At present, most mine coal machinery adopts manual inspection after going into the mine, and records various health index data. Combined with hard rock tunneling equipment maintenance experience, replacement ne...

AI Technical Summary

Problems solved by technology

Traditional maintenance methods cannot achieve real-time monitoring, it is difficult to predict what kind of failures will occur in the working state, and there is a lack of guiding database

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