Production field exception handling knowledge recommendation and knowledge updating method

Abstract

The invention provides a production field exception handling knowledge recommendation and knowledge updating method. The method is characterized in that: a set of software system for production abnormality knowledge management is established, and the software system comprises a production abnormality solution recommendation algorithm, an abnormality disposal tree improvement and troubleshooting guiding module and a self-improvement and recommendation upgrading knowledge base. According to the method, by using the system, when an abnormal problem occurs in a production field of a manufacturing enterprise, the system automatically recommends a disposal scheme according to an abnormal matching algorithm to quickly solve the problem. The method has the beneficial effects that manufacturing enterprises are mainly helped to precipitate valuable treatment experience as knowledge, and the exception treatment tree is continuously perfected according to accumulation of the treatment experience. When an abnormal problem occurs in a production field, the system automatically recommends a disposal scheme according to an abnormal matching algorithm. Sharing of high-value schemes in enterprises and industries is promoted.

Description

technical field [0001] The invention relates to the field of solutions, in particular to a method for recommending and updating knowledge on abnormal handling at a production site. Background technique [0002] In manufacturing enterprises, due to the complexity and unpredictability of production itself, abnormal situations such as equipment, materials, quality, and safety often occur, and abnormal diagnosis and disposal mostly rely on the experience of masters. A large amount of experience in abnormal diagnosis has been accumulated. However, these experiences only exist in the minds of experts, and the precious intangible assets of these enterprises have not been deposited and utilized in daily work. However, some factories have a large turnover of personnel. After experienced personnel leave, valuable experience is also taken away. The lack of guidance of novice engineers leads to low efficiency in handling abnormalities on the production site, causing a lot of losses. ...

AI Technical Summary

Problems solved by technology

[0004] Disadvantages of this product: ①It is only suitable for abnormal equipment, and the problems that may occur on the production site include human, machine, material, method, environment, etc.

It is impossible to give an accurate prediction of the cause of the abnormality

③For the abnormality in the equipment, only the abnormal phenomenon is considered, and the dimensions such as equipment model and equipment type are not analyzed

If the enterprise's fault pre-processing module itself is not perfect, it will not be able to provide an effective maintenance plan

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