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Material demand prediction management method based on material whole-process data

A technology of demand forecasting and management methods, which is applied in the field of electric power material information processing, can solve problems such as blurring the main responsibility and affecting the refinement of material management, and achieve the effect of improving forward-looking

Pending Publication Date: 2020-08-28
GUIZHOU POWER GRID CO LTD
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Problems solved by technology

[0002] Electric power materials are the basic guarantee in the process of power grid construction, but the current situation of "material data fragmentation, material storage mechanization, and blurred main responsibility" in the current material management work makes the power grid company's grasp of material information like "blind people touch the elephant". Directly affect the goal of refinement of material management

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Embodiment 1

[0033] refer to Figure 1~2To illustrate, this embodiment provides a material demand forecasting management method based on the whole process data of materials, which can integrate material-related data scattered in different systems such as current materials and biotechnology to form material process data. For daily material reserves, Establish the timely supply of daily materials with guaranteed quality, and use big data analysis technology to predict the operating status and environment of different time, different locations, and different equipment for emergency materials, so as to guide the advance storage of emergency repair materials types, scales and locations. According to extreme weather According to the results of the deduction, a three-level major disaster storage model of emergency supplies + supplier emergency reserves + social force reserves will be constructed to improve the forward-looking material management of power grid companies and ensure reliable operatio...

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Abstract

The invention discloses a material demand prediction management method based on material whole-process data. The method comprises the steps of obtaining electric power material whole-process data by utilizing a material whole-process data platform; predicting the electric power material demand according to the obtained data; optimizing a storage mode of the electric power materials; and comprehensively managing electric power material dynamic storage. The method has the beneficial effects that operation states and environments of different equipment at different times and different places arepredicted by using a big data analysis technology for emergency materials; the method achieves the guidance of the advanced storage of types, scales and places of emergency repair materials, improvesthe prospectiveness of material management of a power grid company, guarantees the operation reliability support of a power grid, and reduces the operation cost of a power grid enterprise.

Description

technical field [0001] The invention relates to the technical field of electric power material information processing, in particular to a material demand forecasting management method based on material whole process data. Background technique [0002] Electric power materials are the basic guarantee in the process of power grid construction, but the current situation of "material data fragmentation, material storage mechanization, and blurred main responsibility" in the current material management work makes the power grid company's grasp of material information like "blind people touch the elephant". Directly affect the goal of refinement of material management. The specific performance is the fragmentation of material data and the mechanization of material reserves. [0003] Therefore, with the development and transformation of power grid enterprises, the use of data is the main bottleneck restricting the leapfrog development of material management. With the development ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q10/08G06Q50/06G06K9/62G06N3/00
CPCG06Q10/04G06Q10/06315G06Q10/087G06Q50/06G06N3/006G06F18/2411G06F18/24323Y02E40/70Y04S10/50
Inventor 俞虹唐诚旋蒋群群陈钰伊张秀程文美代州徐一蝶
Owner GUIZHOU POWER GRID CO LTD
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