Device state monitoring terminal, system and method based on perception hash

Abstract

The invention discloses a device state monitoring terminal, system and method based on perception hash. The device state monitoring terminal receives a classifier trained by a cloud computing server by using a historical device state hash code; the device state monitoring terminal collects a real-time signal of the device state; the device state monitoring terminal converts the collected real-timesignal of the device state into a real-time device state hash code by using a perception hash algorithm; the device state monitoring terminal sends the real-time device state hash code to the cloud computing server, and the cloud computing server performs accumulative storage on the received real-time device state hash code and uses the real-time device state hash code as the historical device state hash code; and the device state monitoring terminal classifies the real-time device state hash code and outputs the device state. The dimension of data transmitted in the device state monitoringis reduced, the occupation of network bandwidth and server storage resources is reduced, the computing burden of the cloud computing server is reduced, and in-depth mining of device state informationis achieved.

Description

technical field [0001] The invention relates to the field of equipment status monitoring and fault diagnosis, in particular to a device status monitoring terminal, system and method based on perceptual hash. Background technique [0002] Equipment condition monitoring can provide practical decision support for condition-based equipment maintenance, thereby effectively reducing production costs, avoiding production accidents caused by sudden failures of equipment or parts, and ensuring production order, so it is widely used by industry and academia. research and application. Equipment condition monitoring is an organic integration of information technology and fault diagnosis theory and method. In terms of technology integration, centralized equipment status monitoring technology solutions are widely used for equipment status monitoring at present, that is, with the help of abundant storage and computing resources of the server, the monitoring data is transmitted to the remo...

AI Technical Summary

Problems solved by technology

However, it still cannot meet the needs of localized emergency state identification of equipment status monitoring terminals. At the same time, due to the strong coupling of the status identification model, the type and quantity of features extracted by the equipment status monitoring terminal greatly limit the identification of equipment status by cloud computing servers. The accuracy and the depth of excavating the law of equipment performance degradation

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