Realizing method for resource reusable network facility monitoring diagnostic system

Abstract

The invention consists of a data intelligence collection unit, an enterprise monitoring unit, a data service unit, an enterprise diagnosis unit, a diagnosis center unit, an analysis method unit, an expert consultation service unit and a resource login and authentication unit. The invention can implement remote monitoring and diagnosing for mechanical failure, each subfunction of the monitoring and diagnosing system is distributed independently in network, constitutes flexible resource. The each resource unit can be maintained, renewed, updated by technical development institute, through recombining and dispatching relevant resource unit to implement resolution for complex problem. Each technical resource and expert resource can be shared, integrated and utilized in the network layer.

Description

technical field [0001] The invention belongs to the field of industrial automation, relates to a networked integrated manufacturing system technology, in particular to a method for realizing a networked mechanical equipment fault monitoring and diagnosis system. Background technique [0002] The continuous progress of science and technology has made mechanical equipment more and more complex, and the level of automation is getting higher and higher. Faults or failures in the operation of mechanical equipment will not only cause major economic losses, but even lead to catastrophic casualties and adverse social impacts. The development of mechanical equipment monitoring and diagnosis technology has become inevitable. [0003] One of the main means of modern monitoring and diagnosis technology is to establish an online monitoring and diagnosis system. In view of the complexity of mechanical equipment and the diversity of fault sources and their manifestations, modern monitorin...

AI Technical Summary

Problems solved by technology

Integrate the existing monitoring and diagnosis system and various resources to fully excavate, utilize and share technical resources, expert resources and information resources at the network level, realize remote monitoring and diagnosis of mechanical equipment, and overcome the limitations of the existing monitoring and diagnosis system. Disadvantages such as difficult maintenance and high maintenance and upgrade costs

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