Electric power material warehousing quantity prediction method

A technology of electric power materials and forecasting methods, applied in the field of electric power, can solve the problems of huge storage data of electric power materials, difficulty in finding inbound and outbound documents, and miscellaneous specifications, so as to reduce uncertainties and variables, improve prediction accuracy, and reduce difficulty Effect

Pending Publication Date: 2020-08-18
STATE GRID ZHEJIANG ELECTRIC POWER +1
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0002] Due to the strong professionalism, variety, miscellaneous specifications, and large quantities of power material products, the storage data of power materials is quite large and complex, and it is difficult to find the rules simply by checking the inbound and outbound documents with the naked eye.

Method used

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  • Electric power material warehousing quantity prediction method
  • Electric power material warehousing quantity prediction method
  • Electric power material warehousing quantity prediction method

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Embodiment

[0040] This embodiment provides a method for predicting the storage quantity of electric power materials, which includes the following steps:

[0041] Obtain the type number and quantity of power materials that have not been stored in the warehouse, the type number and quantity of power materials that have been stored in the warehouse, and the type number and quantity of power materials in each historical replenishment cycle before;

[0042] Calculate the average value of the quantity ratio between different power materials in each previous historical replenishment cycle and the different power materials in each previous historical replenishment cycle according to the type number and quantity of the power materials obtained in each previous historical replenishment cycle The standard deviation of the quantity ratio between;

[0043] According to the calculated mean and standard deviation of the quantity ratios between different power materials in each previous historical reple...

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Abstract

In order to guide an electric power enterprise to reserve and optimize a storage space difficultly when facing electric power materials with uncertainty, the invention provides an electric power material warehousing quantity prediction method, and associative prediction is performed on potential materials which are not warehoused yet. The electric power material warehousing quantity prediction method comprises the following steps: firstly, quantifying randomness and warehousing time of the warehousing quantity of the electric power materials; deducing an expression of the expected warehousingquantity of the electric power materials; finding out the number ratio mean value and standard deviation between different electric power materials through historical data analysis, quantifying through a likelihood function, and deriving an update and correction formula of the expected warehousing number of the electric power materials which are not warehoused through a Bayesian analysis method; and carrying out weighted integration on a plurality of formulas to obtain a result which is the result of the invention. The electric power material warehousing quantity prediction method provided bythe invention can effectively improve the precision of electric power material warehousing quantity prediction, reduces the uncertainty of prediction, and guides an electric power enterprise to reasonably configure limited warehouse storage location resources.

Description

【Technical field】 [0001] The invention relates to the field of electric power technology, in particular to a method for predicting the quantity of electric power materials put into storage. 【Background technique】 [0002] Due to the strong professionalism, variety, miscellaneous specifications, and large quantities of power material products, the storage data of power materials is quite large and complex, and it is difficult to find the rules simply by checking the inbound and outbound documents with the naked eye. Therefore, it is proposed to use big data technology to automatically collect and process massive inbound and outbound and in-store data, and to conduct big data processing and analysis, so as to dig out whether some valuable information is hidden in these data, and to optimize the power supply. Warehouse management provides a scientific basis. [0003] From the perspective of the material department of the power enterprise, the optimized management of material r...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/08G06F17/18
CPCG06Q10/04G06Q10/087G06F17/18
Inventor 吴锦华杨砚砚孙涛王延海李明高瞻詹沙磊陈达强
Owner STATE GRID ZHEJIANG ELECTRIC POWER
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