KNN algorithm-based electric power material inventory optimization system and method

A KNN algorithm, power material technology, applied in information technology support systems, logistics, computing and other directions, can solve the problems of low efficiency of information synchronization update, unreasonable quota of support material reserves, and error-prone manual operation.

Inactive Publication Date: 2017-11-21
STATE GRID LIAONING ELECTRIC POWER RES INST +2
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AI Technical Summary

Problems solved by technology

[0003] However, the relevant information of the traditional power material inventory management is mainly entered manually, and the efficiency of synchronous updating of information is very low in the existing technology, and the manual operation is error-prone
Because logistics and information flow cannot be connected in a timely manner, there is a time difference, resulting in a large backlog of State Grid materials in the warehouse, and there is a waste of State Grid company resources and unreasonable quotas for supporting material reserves.

Method used

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  • KNN algorithm-based electric power material inventory optimization system and method
  • KNN algorithm-based electric power material inventory optimization system and method
  • KNN algorithm-based electric power material inventory optimization system and method

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Embodiment Construction

[0025] Attached below figure 1 The present invention is further described with the embodiment, and a kind of power material inventory optimization system and method based on the KNN algorithm is proposed, and the following steps are adopted:

[0026] S1. Establishment of power material inventory optimization system, as attached figure 2 , attached image 3 .

[0027] S1.1 Sort out the current status of data such as data stock, data frequency, and data growth rate of the material ERP business system, as well as the current status of the software and hardware environment of the State Grid material platform, and form a system status research report.

[0028] S1.2 Referring to the current situation of the material ERP system research, the current material ERP system has relatively large monthly incremental data, and there are many updated tables. A large part of the tables do not have incremental control fields, so the incremental data access work will be carried out in OGG mod...

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Abstract

The invention takes a KNN algorithm as the core to realize temporal classification of mass inventory materials in a material storage process of an electric power company according to a power grid material in-stock situation and through dimensions of prefectural and municipal unit, material type, movement type, factory type, warehousing batch number, storage time, unit price, aggregate amount, current date and material warehousing data. Through the classification method provided by the invention, characteristic data classification of electric power material in-stock inventory is realized, material storage time and regions are divided, and normality, expiration and time-limit-exceeding identification of inventory time is effectively achieved.

Description

technical field [0001] The invention relates to the technical fields of electric power production management and material management, in particular to a KNN algorithm classification method for electric power material inventory time. Background technique [0002] At present, the scope of centralized procurement of the State Grid Corporation of China continues to expand, UHV construction is speeding up in an all-round way, safe and reliable power supply capacity and clean energy consumption capacity are rigidly improved, the intensive management of materials should strengthen the whole process management, vigorously promote the standardization of materials, and optimize the procurement strategy. Strengthen information management and control, comprehensively improve the quality of network equipment, and escort the construction of a strong power grid. [0003] However, the relevant information of traditional electric power material inventory management is mainly entered manually...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/08G06Q50/06G06K9/62
CPCG06Q10/04G06Q10/087G06Q50/06G06F18/24G06F18/214Y04S10/50
Inventor 雷振江李钊王磊刘树吉王小溪李伟刘劲松刘坤陈龙曹国强胡小磊
Owner STATE GRID LIAONING ELECTRIC POWER RES INST
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