Autonomous sensing system using change of parameter monitoring load of motor system and system abnormity

Abstract

The invention provides an autonomous sensing system using change of a parameter monitoring load of a motor system and a system abnormity. The autonomous sensing system comprises a motor system parameter detecting and sensing module, a motor system information processing and analyzing module, an electrical transmission motion system position, speed and torque calculation-analysis module, an electrical transmission motion system abnormity feature library module and a motion system abnormity display and alarm unit. Parameters of the motor system include the DC voltage and current of a motor driver, temperatures of an inverter and a radiator, and the three-phase voltage, the three-phase current, output torque and output rotating speed of the motor. The parameters of the motor system are collected and analyzed to detect impact condition of the load, mechanical faults in a system transmission link and system operation abnormity and system stability lead by transmission skid and system load change, so that the system can monitor the health and operation states of itself in real time, and operational safety and reliability of the system are ensured.

Description

technical field [0001] The invention relates to an autonomous sensing system of a motor, in particular to an autonomous sensing system which utilizes motor system parameters to monitor load changes and system abnormalities. Background technique [0002] With the rapid development of economy and technology, and the rapid improvement of industrial technology, motor systems are widely used in industries, household appliances, aerospace, transportation, oil fields and other fields. It is generally believed that the motor system is an actuator that utilizes electrical energy, that is, converts electrical energy into other forms of energy, and its stable operation is a necessary condition for determining the normal operation of the equipment. At present, there are mainly two ways to detect the system. One is manual active detection, which ensures the operation quality of the system through regular inspection, maintenance and replacement of parts on the system. This method will gre...

AI Technical Summary

Problems solved by technology

At present, there are mainly two ways to detect the system. One is manual active detection, which ensures the operation quality of the system through regular inspection, maintenance and replacement of parts on the system. This method will greatly increase the cost of system detection; The second is fault-driven detection. When the equipment fails to stop running or the products produced by the system are unqualified, the system will be fully inspected and repaired. This method cannot detect system abnormalities in time and may cause huge economic losses. Failure of large water turbines will cause insufficient power supply in some areas

Neither of the above two methods can perceive and monitor the operating status of the system and its components in real time, and cannot maintain the system in a state-driven monitoring manner, and cannot guarantee the reliability and safety of system operation.

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