Equipment Condition Monitoring System Based on Data Training

Abstract

The present invention relates to an equipment status monitoring system based on data training. The system includes a number of monitoring units, which are arranged on the unit to be monitored for real-time monitoring of the operating status of the unit to be monitored; The interaction coefficient between the units to be monitored and to determine the currently running unit to be monitored; the control unit is connected to the storage unit and the monitoring unit, and the central control unit is based on the state of the currently running unit to be monitored and the relationship between the unit to be tested and other monitoring units The action coefficient determines the monitoring time and monitoring intensity of other units to be monitored. Through the real-time monitoring of the status of the monitoring unit, and according to the monitored real-time status and its relationship with other monitoring units, the monitoring time and monitoring intensity of other monitoring units are determined, so as to realize the precise monitoring of the monitoring unit. This makes the scheduling of the working status of the monitoring unit more reasonable and efficient.

Description

technical field [0001] The invention relates to the technical field of equipment monitoring, in particular to a data training-based equipment state monitoring system. Background technique [0002] In the industrial environment of multi-equipment cooperative operation, or for the cooperative operation of components with multiple linkages in a certain equipment, due to the existence of multiple cooperative equipment or multiple cooperative components, such as in the coal mine production process, it is necessary to use the conveyor belt The coal slag is transported over a distance, so it is necessary to set up multiple idlers under the conveyor belt to drive the conveyor belt to work and realize transportation. Therefore, these multiple idlers belong to multiple cooperative components, while in the steel production process, multiple idlers are required. To complete the production of steel, such as steel making, pouring, rolling, etc., are used to complete the production by usin...

AI Technical Summary

Problems solved by technology

[0003] In the process of working with multi-cooperative devices or multi-cooperative components, it is necessary for each coordinating device or coordinating component to complete its own work, as well as to complete the interaction with adjacent devices or components, so that the work coordination is complete. The performance requirements are higher, but in the actual use process, the working status of each device or component is not necessarily perfect, or the job is done very well, but in the process of interacting with other devices, the status is average. As a result, the overall work efficiency of the synergy will be reduced, and even other more adverse consequences will be caused, which will affect the production efficiency.

Therefore, it is particularly important to monitor the working status of each cooperative device or cooperative component, and it has become a key point that people need to monitor urgently. However, the monitoring of devices in the prior art is still in its infancy. Comparison is for judgment, so the monitoring of equipment status is too rough

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