Remote cooperative diagnosis task allocation method

Abstract

The invention discloses a remote cooperative diagnosis task allocation method. Aiming at complex diagnosis tasks, an RCFD (Remote Collaboration Fault Diagnostic) center is used for decomposing the complex diagnosis tasks into a plurality of executable diagnosis tasks and allocating the executable diagnosis tasks for allowing each diagnosis resource participating in the cooperative diagnosis to execute; and each executable diagnosis task can also carry out diagnosis task allocation on the basis of a method for expanding a contract net. The remote cooperative diagnosis task allocation method disclosed by the invention comprises three links, namely diagnosis task model establishment, diagnosis task path planning and diagnosis resource configuration and has the advantages of modularity, favorable expansibility, wide application occasions and the like, wherein in the diagnosis task model establishment link, an intersection set of different types of models is paid attention to from different decomposition granularities and weights of the models are optimized by applying a Bayesian network method; in the diagnosis task path planning link, a unified key path planning algorithm is established on the basis of a D algorithm; and in the diagnosis resource configuration link, a configuration algorithm is established by fusing multi-constraint indicators from a view of service.

Description

Technical field

[0001] The invention relates to a field information intelligent processing technology suitable for a remote collaborative diagnosis front end of complex equipment, in particular to a remote collaborative diagnosis task allocation method. Background technique

[0002] Remote Cooperative Fault Diagnosis (RCFD) is based on information technology and network technology. It provides an open collaborative diagnosis environment for multiple diagnosis experts associated with a complex diagnosis task and tracks the diagnosis process, and finally synthesizes the diagnosis results. Realize the mode of quick and effective diagnosis and maintenance. There are still some problems in remote collaborative fault diagnosis. A considerable part of the research studies are concerned only with the remote communication problem of a single diagnosis method from "onsite" to "off-site". This kind of remote system only provides an information exchange platform for fault diagnosis. It belo...

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