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Electric power material classification method based on self-organizing characteristic mapping network

A technology of power materials and feature mapping, which is applied in logistics, instruments, character and pattern recognition, etc., can solve the problems of wide design, difficult inventory management of power grid reserve materials, and reduced power supply reliability, so as to reduce inventory costs and guarantee Orderly supply, reduce the effect of power supply reliability

Inactive Publication Date: 2017-08-29
MERIT DATA CO LTD
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

Therefore, the inventory management of power grid reserve materials is difficult and has a wide range of designs. How to ensure the orderly supply of equipment and spare parts without reducing the reliability of power supply, efficiently use limited inventory resources, and minimize inventory costs has become the current power grid material management. Important issues and problems faced

Method used

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  • Electric power material classification method based on self-organizing characteristic mapping network
  • Electric power material classification method based on self-organizing characteristic mapping network
  • Electric power material classification method based on self-organizing characteristic mapping network

Examples

Experimental program
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Embodiment

[0053] In this example, taking the current situation of material management of a power company in Shandong Province of State Grid as the research object, 3,201,838 total material inventory data of the company from February 2013 to July 2016 were extracted for analysis and research. The target data set is composed of 1571 material sub-category observation rows, and is composed of eight selected key indicators as column attributes. Merrill Lynch Tempo data analysis platform is used for data analysis, and the established power material subdivision model is verified and analyzed.

[0054] The power material classification method based on material demand characteristics according to the present invention includes:

[0055] Material data collection: Specifically, 1,571 kinds of material data were selected from 3,201,838 items of all material data as research samples.

[0056] The eight key indicators of material data selection and their screening descriptions are as follows:

[005...

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Abstract

The invention discloses an electric power material classification method based on a self-organizing characteristic mapping network. The method comprises the following steps of material data acquisition: selecting material data and constructing the selected material data into an electric power material index system; material data analysis: according to a nonlinear principal component analysis method, selecting an electric power material principal component analysis index in the electric power material index system; and material classification: using a self-organizing characteristic mapping network (SOFM) algorithm to carry out index subdivision on the selected electric power material principal component analysis index, according to a subdivision index, carrying out clustering, and establishing electric power material classification.

Description

technical field [0001] The invention relates to the technical field of power material classification, and mainly relates to a power material classification method based on a self-organizing feature mapping network in the material management link of a power grid company. Background technique [0002] Since the electric power industry is an equipment industry, its material cost occupies a considerable proportion in the cost of electric power production and investment in infrastructure projects. The selection of power equipment and materials needs to take into account the scale of the power grid and the operation mode of the power grid, the inherent quality and operating conditions of the equipment, the severity and degree of damage of the equipment, the compatibility of the equipment, external factors, climatic conditions and other factors. Therefore, the inventory management of power grid reserve materials is difficult and has a wide range of designs. How to ensure the orderl...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/08G06K9/62
CPCG06Q10/087G06Q10/0875G06F18/23G06F18/2135G06F18/24
Inventor 程宏亮刘宏饶思维秦宾张卫东
Owner MERIT DATA CO LTD
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