Abnormal event processing method and system in discrete production environment

Abstract

The invention relates to an abnormal event processing method in a discrete production environment. The method comprises the steps of determining a data structure of an abnormal event; receiving abnormal events and forming an abnormal event receiving queue; judging the authenticity of the processing source of each abnormal event by adopting an SHA256 algorithm; distinguishing the level and priority of each abnormal event in the abnormal event receiving queue; performing dynamic scheduling on each abnormal event in the sensitive queues of different levels by adopting a slow start algorithm; performing early warning processing on the abnormal event after dynamic scheduling by adopting a driving calling method; carrying out processing result feedback on the abnormal event after the early warning processing, and updating the processing result and the processing state of the event log; performing knowledge mining on the event log to form abnormal event processing knowledge; generating an exception handling strategy according to the exception event handling knowledge, wherein the exception handling strategy is used for determining the level and the priority of the exception event next time. The method can effectively improve the production efficiency of a discrete workshop and improve the product quality.

Description

technical field

[0001] The invention relates to the field of abnormal event processing in production, in particular to a method and system for processing abnormal events in a discrete production environment. Background technique

[0002] In the workshop production process of discrete manufacturing enterprises, various workshop production abnormalities will inevitably occur. Once the workshop production abnormalities cannot be discovered and dealt with in time, it will directly affect the normal operation of the workshop production process and directly bring economic losses to the enterprise. Therefore, effective handling of abnormal events in discrete production environments will help to avoid production abnormalities. The lack of efficient and systematic abnormal handling in production environments has become one of the important problems to be solved in today's manufacturing enterprises.

[0003] At present, for abnormal events in the production environment, some research ...

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