Abnormal event processing method and system in discrete production environment
A technology of abnormal events and processing methods, applied in the field of abnormal event processing methods and systems in discrete production environments, can solve problems affecting production efficiency and product quality, affecting enterprise production efficiency and product quality, and reducing production efficiency and product quality
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Embodiment 1
[0067] Such as figure 1 As shown, this embodiment proposes a method for processing abnormal events in a discrete production environment, the method includes the following steps:
[0068] Step S1. Determine the data structure of the abnormal event.
[0069] In this embodiment, the data structure of the abnormal event includes event number, event level, event source, occurrence time, occurrence location, reporter, event description, and the like. By determining the data structure of abnormal events, standardizing the data structure of abnormal events, and establishing a unified representation of abnormal events.
[0070] The abnormal event processing mechanism in discrete production environment is composed of mechanism architecture, abnormal event unified representation method, policy-based abnormal event processing algorithm and scheduling algorithm, abnormal event knowledge mining and management, and abnormal event processing strategy definition. By defining a unified repres...
Embodiment 2
[0121] Such as Figure 5 As shown, this embodiment shows a system for handling abnormal events in a discrete production environment, and the system includes:
[0122] An abnormal event data structure determination module M1, configured to determine the data structure of the abnormal event;
[0123] An abnormal event receiving queue forming module M2, configured to receive the abnormal event and form an abnormal event receiving queue;
[0124] The source authenticity judging module M3 is used to judge the authenticity of the processing source of each of the abnormal events in the abnormal event receiving queue by using the SHA256 algorithm;
[0125] The level and priority distinguishing module M4 is used to distinguish the level of each of the abnormal events in the abnormal event receiving queue, and put each of the abnormal events into sensitive queues of different levels, and use the thread binary tree to classify the different sort each of the abnormal events in the sensi...
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