Terminal sensing system for constructing digital twin of three-phase asynchronous motor

Abstract

The invention discloses a terminal sensing system for constructing a digital twin of a three-phase asynchronous motor. The terminal sensing system comprises a current transformer and a voltage converter which are used for sensing various electrical parameters of the three-phase asynchronous motor; a vibration sensor, a sound sensor and a rotating speed sensor which are used for measuring mechanical motion characteristics of the three-phase asynchronous motor; an infrared thermal camera and a 3D camera which are used for sensing related physical characteristics of the three-phase asynchronous motor; an ARM processor and a Raspberry Pi module which are used for data processing; and a 5G communication module which is used for real-time data transmission. Various operating parameters of the three-phase asynchronous motor are comprehensively obtained, and powerful data support is provided for constructing a digital twin of the three-phase asynchronous motor in a virtual space, mapping and fusing the digital twin and a physical entity in real time and performing remote, accurate and reliable fault diagnosis on the entity of the three-phase asynchronous motor.

Description

technical field [0001] The invention relates to the field of three-phase asynchronous electromechanical terminal perception, and specifically refers to a terminal perception system for constructing a digital twin of a three-phase asynchronous motor. Background technique [0002] The three-phase asynchronous motor is the most important driving force and driving device in industrial production. It is the core equipment in the coal mine, energy, chemical industry and other industrial fields. Once the three-phase asynchronous motor fails, the entire industrial operation system may face complete paralysis. Risks, resulting in unpredictable economic losses, and even endanger the safety of on-site staff. Therefore, the fault detection and fault diagnosis of three-phase asynchronous motor has important research significance. [0003] At present, most of the fault diagnosis of three-phase asynchronous motors is in the stage of on-site detection and diagnosis, and a small part has be...

AI Technical Summary

Problems solved by technology

[0002] The three-phase asynchronous motor is the most important driving force and driving device in industrial production. It is the core equipment in the coal mine, energy, chemical industry and other industrial fields. Once the three-phase asynchronous motor fails, the entire industrial operation system may face complete paralysis. risk, causing unpredictable economic losses, and even endangering the lives of on-site staff

On-site diagnosis requires experts to go to the work site for measurement and diagnosis. Limited by space, work efficiency is low

Remote virtual simulation, simulate the operation process of the three-phase asynchronous motor through the pre-established virtual model, and calculate the possible faults. However, due to the limitations of sensors and communication technology, it is often only possible to collect the voltage and current of the three-phase asynchronous motor. The data parameters of the constructed virtual simulation model are simply associated with the actual three-phase asynchronous motor and cannot be mapped in real time, so the accuracy of fault diagnosis of the three-phase asynchronous motor is low and the real-time performance is poor

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