Distributed intelligent monitoring system for motor

Abstract

The invention relates to a distributed intelligent motor monitoring system. The system includes on-site low-level intelligent monitoring sub-stations, high-level intelligent monitoring general stations, and modular system application software for data collection and information processing to realize motor monitoring functions. Among them, the monitoring sub-station is connected to the motor at the corresponding position, and is composed of an intelligent monitoring module including monitoring instruments, meters, and data collectors. The intelligent monitoring general station is composed of a computer that realizes centralized processing of motor information and intelligent monitoring. interconnected by a data communication network. Through this system, the real-time collection and local / remote monitoring of various parameters of a single or multiple motors, motor operating status identification and fault diagnosis functions can be realized. Not only can it be used as special equipment for factory testing and type testing of motor manufacturers, but it can also be widely used in real-time monitoring or online fault monitoring of motors in metallurgy, chemical, petroleum, pharmaceutical and other industrial sectors.

Description

technical field [0001] The invention belongs to the technical field of motor measurement and control, and relates to a distributed intelligent motor monitoring system. Background technique [0002] At present, most domestic motor manufacturers and motor users often use relatively primitive instruments such as ammeters, voltmeters, and tachometers to conduct motor tests (factory tests and type tests) and motor maintenance, which has high labor intensity, large test errors, and high efficiency. Inferior disadvantages; some existing motor experiment systems in China are realized under the DOS system, which has simple functions, poor compatibility, scalability and real-time performance, and it is difficult to realize synchronous monitoring (detection) of multiple motors. Fully meet the test requirements of the type test of the motor manufacturer. In metallurgy, chemical industry, petroleum, pharmaceutical and other industrial sectors, online real-time monitoring and fault diagn...

AI Technical Summary

Problems solved by technology

Many of the existing motor fault diagnosis technologies operate offline, without analyzing and processing real-time collected data. Some fault diagnosis technologies based on wavelet analysis and neural network are still in the theoretical research stage, and it is difficult to realize real-time identification of motor operating conditions. , fault diagnosis and prediction, which brings huge hidden dangers to the safety of personnel and equipment and industrial production

"Research and Development of Distributed Online Monitoring and Fault Diagnosis Network System" (2002 "Computer Application" No. 2, 21-24 pages) discloses a centralized data acquisition system, but it is still a DOS-based system in essence. The system's centralized data acquisition scheme using data acquisition cards does not solve the above-mentioned problems of distributed data acquisition, strong scalability, and strong compatibility.

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