基于多源数据及模糊匹配的安稳运行状态智能巡检系统

针对电力系统数据来自多个源头、现场运行维护人员日常巡检工作量大、人工核查出错率高的问题,研究了一种模糊匹配技术,模糊匹配多种数据源的数据并导入为基准值,定时巡检与基准值进行比对,对巡检周期内的巡检信息进行自动整理、智能分析,形成多种巡检报告并以Web方式展示。该技术具有匹配速度快,准确率高,混淆率低的特点,在广东电网获得了成功应用,有效替代了运行维护人员对电网安全稳定装置的日常巡检、定检及年检等工作,减少了人为参与,降低了现场运维人员核对的工作量及人工核查出错率,提高了工作效率。

Intelligent Inspection System Based on Multi-source Data andFuzzy Matching for Power Security and Stability State

To solve the problem of power system data coming from multiple sources, huge amount of on-site operation and maintenance workload and high manual verification error rate, a fuzzy matching technique is introduced, which fuzzy matching variety sources of data as a reference value for comparison. Regular inspection value is compared with reference value, inspection information is automatically sorted and intelligently analyzed. A variety of inspection reports are produced and displayed by Web. This technique has been successfully applied in Guangdong Power Grid with the characteristics of fast matching speed, high accuracy and low confusion rate. It can effectively replace the regular, daily and annual inspection of operation and maintenance personnel to power grid safety and stability devices, which can reduce human participation, workload of manual verification and error rate and improve work efficiency.