A demand forecasting method and system for a power grid engineering supply chain

By conducting overall planning for power grid engineering projects, dividing project groups using construction information and historical data, identifying transferable resources, and optimizing resource allocation, the problems of material accumulation and high transfer costs were solved, and accurate demand forecasting and improved resource utilization efficiency were achieved.

CN122414735APending Publication Date: 2026-07-17NINGBO TRANSMISSION & DISTRIBUTION CONSTR

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
NINGBO TRANSMISSION & DISTRIBUTION CONSTR
Filing Date
2026-06-15
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

In power grid engineering projects, the costs of material accumulation and transfer are high, and existing technologies make it difficult to plan for overall use, resulting in low resource utilization efficiency.

Method used

By acquiring construction information within the target area, engineering projects are divided into related project groups and independent projects. Historical material data and construction information are used to predict demand, identify transferable resources, and optimize resource allocation based on accident probability, thereby achieving accurate prediction and overall planning.

Benefits of technology

It effectively reduced redundant material accumulation and transfer costs, improved the overall efficiency and economic benefits of the power grid engineering supply chain, and optimized resource utilization and management.

✦ Generated by Eureka AI based on patent content.

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Abstract

本发明涉及供应链管理技术领域,具体而言,涉及一种电网工程供应链的需求预测方法以及系统,本发明解决的问题:如何通过准确的需求预测尽可能的减少物料的堆积,并且降低物料的转移成本,为解决上述问题,本发明提供一种需求预测方法,包括:获取目标区域内所有工程项目的施工信息,根据施工信息将工程项目划分为关联项目组和独立项目;根据历史物资数据得到每个工程项目的基础需求,根据施工信息和基础需求确定独立项目的独立需求量;根据关联项目组内每个子项目对应的基础需求得到关联项目组的理论需求量,根据子项目之间的可转移资源对理论需求量进行修正,得到关联需求量;根据独立需求量和关联需求量得到目标区域内的预测需求量。
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