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Solution recommendation system and method based on self-learning

A solution and recommendation system technology, applied in special data processing applications, instruments, structured data retrieval, etc., can solve problems such as inability to guarantee the recovery of production business, long problem processing time, large labor costs, etc. Wide range, reduce labor costs, and improve the effect of solving efficiency

Inactive Publication Date: 2019-09-27
重庆回形针信息技术有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, how to quickly discover, locate and restore problems in equipment, production processes, products, etc. has become a challenge for management in the era of mobile information
So far, in the face of a large number of large-scale problems, it is usually necessary to arrange experienced workers to deal with them one by one. On the one hand, it brings huge labor costs. The increase in complexity leads to long processing time and poor resolution results, making it impossible to ensure that problems can be resolved in a timely manner and production business can be resumed

Method used

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  • Solution recommendation system and method based on self-learning

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Embodiment Construction

[0047] The following is further described in detail through specific implementation methods:

[0048] The embodiment is basically as attached figure 1 Shown:

[0049] A solution recommendation system based on self-learning, including an experience database, the experience database is used to store failure mode information to be processed and failure mode resolution records, the failure mode information includes equipment failure, human error, processed product material As well as the pros and cons of quality, errors in method steps, and errors in process links, the system specifically includes the following modules:

[0050] Failure mode entry module: used to enter the failure mode information to be processed into the experience database;

[0051] Keyword extraction module: used to extract keywords from failure mode information, and search failure mode solution records in the experience database according to keywords;

[0052] The keyword extraction module specifically incl...

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Abstract

The invention relates to the technical field of industrial management. The invention particularly relates to a solution recommendation system and method based on self-learning. Based on the method, the system comprises an experience database which is used for storing to-be-processed failure mode information and failure mode solution records, and the system specifically comprises the following modules: a failure mode input module, a keyword extraction module, a listing module, a solution recommendation module and a failure mode solution record input module. The problem solving efficiency can be improved.

Description

technical field [0001] The invention relates to the technical field of industrial management, in particular to a solution recommendation system and method based on self-learning. Background technique [0002] As the structure and assembly process of production equipment become more and more complex, the probability of problems will continue to increase due to the production of parts, processed materials, production method steps, artificial processing operations, production process links and production equipment itself. All problems can be collectively referred to as failure modes. Failure modes not only affect production operations, but also affect the safety of life and property. However, how to quickly discover, locate and restore problems in equipment, production processes, products, etc. has become a challenge for management in the mobile information age. So far, in the face of a large number of large-scale problems, it is usually necessary to arrange experienced worke...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/00G06F16/24
CPCG06Q10/20G06F16/24
Inventor 龚量亮
Owner 重庆回形针信息技术有限公司
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