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Capability model and work order matching method and system based on machine learning

A capability model and machine learning technology, applied in the field of operation and maintenance services, can solve the problem of low matching accuracy between operation and maintenance work orders and operation and maintenance engineers, and achieve the effect of accurate matching of personnel capabilities, solving related problems, and improving accuracy.

Pending Publication Date: 2020-05-12
安徽智恒信科技股份有限公司
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AI Technical Summary

Problems solved by technology

[0005] Aiming at the problem of low matching accuracy between operation and maintenance work orders and operation and maintenance engineers existing in the prior art, the present invention provides a machine learning-based capability model and work order matching method and system, which can realize different needs Reasonable allocation of operation and maintenance personnel for operation and maintenance work orders

Method used

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  • Capability model and work order matching method and system based on machine learning
  • Capability model and work order matching method and system based on machine learning
  • Capability model and work order matching method and system based on machine learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0065] Such as figure 1 As shown, a machine learning-based capability model and work order matching method includes the following steps:

[0066] S100. Perform word segmentation processing on the work order to obtain quasi-word segmentation results, generate feature items according to the quasi-word segmentation results, and establish a feature item database according to the feature items. The feature item database can be continuously updated and supplemented during the work order process, mainly used for work order data. The processing of the feature item database is updated at the same time as the ability model of the operation and maintenance personnel who completed the work order is updated;

[0067] S200. Generate a feature item-requirement document matrix according to the feature item database, perform singular value decomposition on the matrix, and establish an implicit semantic index database;

[0068] S300. Divide the feature items in the professional dictionary into...

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Abstract

The invention discloses a capability model and work order matching method and system based on machine learning, and belongs to the field of operation and maintenance services. The problem that in theprior art, the matching accuracy of an operation and maintenance work order and an operation and maintenance engineer is not high is solved. The invention provides the capability model and work ordermatching method and system based on machine learning. The system comprises a feature item generation unit, a latent semantic index generation unit, a model training unit and a capability matching unit, feature items are generated through the feature item generation unit, the latent semantic index generation unit generates a latent semantic index database according to the feature items, a capability model is established through the model training unit, and finally the capability of the operation and maintenance personnel is matched with work orders through the capability matching unit, so thatthe operation and maintenance personnel can be reasonably distributed for the operation and maintenance work orders with different requirements.

Description

technical field [0001] The present invention relates to the field of operation and maintenance services, and more specifically, relates to a method and system for matching a capability model and a work order based on machine learning. Background technique [0002] In operation and maintenance activities, how to select the appropriate operation and maintenance engineer or operation and maintenance expert will directly affect the quality of operation and maintenance work, and the correct selection of operation and maintenance engineers is crucial to ensure the quality, efficiency and cost of operation and maintenance services. At this stage, the selection of operation and maintenance engineers is generally based on the selection method of the service desk personnel based on their experience, or the method of simply labeling the operation and maintenance engineers with a computer to facilitate screening. The degree of computer assistance is relatively low, and it is only for dat...

Claims

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Application Information

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IPC IPC(8): G06F40/289G06F40/30G06F40/242G06F16/31G06Q10/06G06N20/00
CPCG06F16/31G06Q10/063112G06N20/00
Inventor 丁志龙甘松云余众泽
Owner 安徽智恒信科技股份有限公司
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