Digging and anchoring all-in-one machine monitoring system based on digital twinning technology

Abstract

The invention discloses a digging and anchoring all-in-one machine monitoring system based on a digital twinning technology, and the system comprises: a digging and anchoring all-in-one machine physical body; a mine digging and anchoring all-in-one machine, wherein a work execution part which is responsible for the normal operation of digging and anchoring work; a sensor group, wherein the sensor group is distributed and fixedly mounted on the physical body of the digging and anchoring all-in-one machine, and is responsible for collecting relevant data of movement of the physical body of the digging and anchoring all-in-one machine in real time and feeding back the data in real time; a maintenance suggestion database, wherein the maintenance suggestion database is used for generating a storage library of maintenance suggestion data according to automatic tuning parameter values generated after analogue simulation deep learning; and a twin performance degradation model, wherein geometric attributes, motion attributes and functional attributes of the physical model are defined according to the geometric shape and the mechanical structure of the physical entity. The monitoring effect of the mine digging and anchoring all-in-one machine is improved, the monitoring effect is more visualized, and profiling control is achieved.

Description

technical field [0001] The invention relates to the technical field of an integrated bolter digging machine, in particular to a monitoring system for an integrated bolter miner based on digital twin technology. Background technique [0002] A method for monitoring and predictive maintenance of an all-in-one machine for digging and bolting in coal mine tunneling face with digital twin technology. The system consists of physical entities, sensors, digital twins, cloud servers, cloud databases, 4G base stations, communication interfaces, network switches, video display terminals, and Maplesim software. , matlab-Simulink software, PC and other components. [0003] However, there are unfavorable factors such as high dust concentration, low visibility, spray and dripping in the existing coal mine excavation working face, which have a great impact on the collection of video images. It is not ideal, and it is difficult to visualize and intuitively reflect the environment, working c...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a monitoring system based on the digital twin technology of the integrated machine for digging and bolting, so as to solve the unfavorable factors such as high dust concentration, low visibility, spraying and dripping in the existing coal mine driving face proposed in the above background technology, It has a great impact on the collection of video images, so the reliability and effect of the video technology-based integrated monitoring system for the bolter digging machine are not ideal, and it is difficult to visualize and intuitively reflect the environment, working conditions and equipment operation status of the fully mechanized mine excavation face, as well as Problems such as fault location and health prediction of equipment

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