Motor monitoring method

Abstract

The invention discloses a motor monitoring method. The motor monitoring method comprises the following steps: S1: establishing identity information for a tested motor; S2: integrating a data collection module for the tested motor; S3: integrating the data collection module with a central processing module; S4: encoding, by the central processing module, the collected data; S5: electrically connecting the central processing module with a communication module; S6: establishing a communication channel between the communication module and an application cloud platform; and S7: decoding and analyzing, by the application cloud platform, the received data. Fast and effective monitoring is performed on large-scale motors, the application cloud platform monitors different types of motors produced by different manufacturers, and build a database based on the same type of motors. The monitoring object can be set as a motor bearing, so a lot of work is reduced, feature monitoring can be performedmore easily, and qualitative analysis can be performed on the motor bearing very easily according to multi-dimensional data collection, so that the running health state and the service of the bearingare judged.

Description

technical field [0001] The invention relates to the field of monitoring equipment, in particular to a motor monitoring method. Background technique [0002] Since its invention in 1834, the electric motor has been the main driving force in the mechanical industry, especially in the field of rotating machinery. From household appliances to nuclear power plants, from coffee machines to chemical plants, from daily life to light and heavy industries, motors drive productivity. Electric motors consume more than 64% of China's power generation, and drive sophisticated rotating mechanical equipment. The equipment driven by electric motors is often highly digitized or controlled by highly sophisticated computers. However, the motor itself is still manufactured and used in the traditional way, and the existing monitoring methods are also aimed at monitoring a certain operating characteristic of the motor. Accurate, such as the Chinese patent "An Intelligent Motor Vibration Online M...

AI Technical Summary

Problems solved by technology

Moreover, the number of motors in the world is increasing by 9.5% every year. So many motors are installed in all aspects of human activities. If the monitoring information is not processed, the number of motors monitored will increase. The amount of real-time monitoring and uploading data will be Massive, the network and hardware requirements are also quite high, therefore, in the actual use process, the versatility is poor, most importantly, most of the motors are not monitored, so once the motor goes down, it will cause great harm to production and life. However, about 80% of motor downtime is caused by bearing faults. Therefore, there is an urgent need for a method for real-time monitoring of the motor's operating status, which can monitor the operating status of the motor in a timely and reliable manner.

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