基于人工智能识别的特高压站顺控验收系统设计

Design of a Sequence Control and Acceptance System for EHV Stations Based on Artificial Intelligence Recognition

在特高压变电站的运维工作中,传统的操作流程存在数据量庞大、核实效率低以及准确率低的问题。基于人工智能识别的特高压站顺控验收系统利用人工智能技术,通过整合标准操作流程库和实际操作数据,实现操作流程的智能识别、匹配和验证。通过学习和优化,系统可以不断提升核实算法和模型的准确性,以适应不断变化的操作流程需求。该系统的智能识别能有效减少人为错误的发生,为电力行业的数字化转型和智能化运维提供有力支持。

In operation and maintenance of EHV substations,conventional methods′operation process flows have the problems of huge data volume,low verification efficiency and low accuracy rate.The artificial intelligence recognition-based EHV station sequence control acceptance system uses AI technology to achieve intelligent identification,matching and verification of operation processes by integrating standard operation process library with actual operation data.Through learning and optimization,the system can continuously improve the accuracy of verification algorithms and models to adapt to the changing operational process requirements.The intelligent identification of this system can effectively reduce deviations of manual operations and provides strong support for digitalization and intelligent operation and maintenance of power industry.