Coke oven vehicle operation fault intelligent diagnosis method and system

Abstract

The invention provides a coke oven vehicle operation fault intelligent diagnosis method and system. The method comprises the following steps: constructing a coke oven vehicle fault diagnosis knowledge model; acquiring the monitored equipment state information; after feature extraction is conducted on the collected equipment state information, selecting part of observation variables to form a symptom set through the coke oven vehicle fault diagnosis knowledge model; and carrying out working condition abnormal state recognition on the symptom set, calculating then probability distribution of specific fault types. The system comprises a coke oven vehicle fault diagnosis knowledge model, a coke oven vehicle fault diagnosis data acquisition module and a coke oven vehicle fault diagnosis reasoning module. According to the invention, fault diagnosis of four-cart operation during coal charging, coke pushing, coke guiding and coke quenching is realized, and a reliable, safe, stable and efficient IFDC safety production monitoring system for four carts of the coke oven is established; real-time collection, processing, transmission, control and early warning of fault information in a production area are realized.

Description

technical field [0001] The invention relates to the technical field of operation and maintenance of coke oven vehicles, in particular to a method and system for intelligent diagnosis of coke oven vehicle operation failures. Background technique [0002] Intelligent fault diagnosis and equipment maintenance is a complex dynamic process involving multiple disciplines and departments. With the support of multiple technologies such as condition monitoring, knowledge modeling, diagnostic reasoning, and auxiliary decision-making, equipment diagnosis and maintenance can be carried out collaboratively according to the operating status of the equipment. [0003] At present, the fault diagnosis of coke oven vehicle operation still relies on manual discovery and judgment, so there is no real-time collection, processing, dissemination, control and early warning of new faults, and the manual judgment method is also reliable, safe and stable. , high efficiency can not meet the needs of th...

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Problems solved by technology

[0003] At present, the fault diagnosis of coke oven vehicle operation still relies on manual discovery and judgment, so there is no real-time collection, processing, dissemination, control and early warning of new faults, and the manual judgment method is also reliable, safe and stable. , high efficiency can not meet the needs of the current production, so there is a need for an intelligent diagnosis method and system for coke oven vehicle operation faults

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