一种基于量测数据的两级分布式协同任务分发方法及系统
By building and validating a business model, and utilizing technologies such as RESTful, Kafka, and SFTP, a two-level distributed collaborative task distribution of measurement data was achieved, solving the problem of high cost of measurement data analysis for power grid companies and realizing efficient automated distribution and monitoring.
CN116228177BActive Publication Date: 2026-07-17CHINA ELECTRIC POWER RESEARCH INSTITUTE CO LTD +1
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHINA ELECTRIC POWER RESEARCH INSTITUTE CO LTD
- Filing Date
- 2022-10-17
- Publication Date
- 2026-07-17
AI Technical Summary
Technical Problem
The State Grid Corporation of China faces high costs in its measurement data analysis applications, necessitating an efficient two-level distributed collaborative task distribution method to reduce resource consumption.
Method used
Build a business model, import and validate the model file, distribute the model to the target unit via RESTful, Kafka, and SFTP, and synchronously monitor the execution process and results.
Benefits of technology
It enables automated distribution of measurement data, saving human resources and costs, improving work efficiency, and is highly applicable without the need for manual intervention.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure CN116228177B_ABST
Abstract
本发明公开了一种基于量测数据的两级分布式协同任务分发方法及系统，其中方法包括：基于业务需求，构建业务模型；导入所述业务模型，计算所述业务模型的结构，获取计算出的文件；基于计算出的文件，对所述业务模型进行验证；当所述业务模型通过验证时，基于预设的执行周期，将所述业务模型分布式下发至目标单位，所述目标单位基于所述执行周期进行所述业务模型的分布式执行。本发明提供的两级分布式协同任务分发方法及系统，提高了工作效率，节约大量的人力资源和成本，整个分发过程无需人工干预，具备较强的适用性。
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