A method and system for maintenance scheduling based on operations research optimization model

CN122243146APending Publication Date: 2026-06-19CENTURY CONCORD WIND POWER INVESTMENT CO LTD
View PDF 0 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CENTURY CONCORD WIND POWER INVESTMENT CO LTD
Filing Date
2026-05-22
Publication Date
2026-06-19

AI Technical Summary

Technical Problem

Existing technologies lack joint scheduling optimization for multiple maintenance tasks, making it impossible to obtain executable and implementable maintenance scheduling results. Furthermore, they fail to comprehensively consider factors such as contractual risks of new energy power plants, the impact of maintenance delays, resource usage costs, and task dependencies, resulting in maintenance windows that do not meet actual production needs.

Method used

By employing an operations research optimization model, and considering losses related to power generation revenue, contractual obligations, maintenance delays, and resource usage costs, combined with preset constraints, the target time window for maintenance tasks is optimized and determined, generating maintenance scheduling results.

Benefits of technology

This reduced revenue losses caused by maintenance, minimized scheduling conflicts, improved the feasibility of target time windows, and ensured that maintenance arrangements met the actual production needs of new energy power plants.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN122243146A_ABST
    Figure CN122243146A_ABST
Patent Text Reader

Abstract

This invention provides a maintenance scheduling method and system based on an operations research optimization model, relating to the field of computer technology. The method includes: acquiring multiple maintenance tasks and candidate time windows corresponding to each maintenance task; using an operations research optimization model, with the goal of minimizing the total loss associated with executing each maintenance task, determining a target time window from the multiple candidate time windows; the operations research optimization model is configured with preset constraints, and the total loss includes at least one of the following: a first loss related to power generation revenue, a second loss related to contractual agreements, a third loss related to maintenance delays, and a fourth loss related to resource usage costs; generating a maintenance scheduling result based on the target time window corresponding to each maintenance task. This implementation can reduce revenue losses caused by maintenance and reduce scheduling conflicts, improving the executability of the target time window.
Need to check novelty before this filing date? Find Prior Art