基于Hybrid A^(*)算法的变压器声级巡检系统研究与设计

Research and design of transformer sound level inspection system based on Hybrid A^(*)algorithm

随着国内变电站数目逐步增加,采用固定式声级监测终端对变压器声级检测的方式已经满足不了日常检测的需求。为解决固定式声级监测终端方式成本高、维护复杂、设备利用率低等问题,该文率先提出了一种变压器声级巡检系统,并设计了最优声级巡检路径。通过场地定位传感器生成变压器场地栅格图信息,采用Hybrid A^(*)算法将场地栅格图信息生成符合国标所要求的最优声级巡检路径检测点;针对所开发的变压器声级巡检装置,采用生成的巡检路径对变压器进行声级测定作业,对测定的声级数据进行分析处理。测试结果表明,该文开发的系统与设计算法的变压器声级巡检时间、检测效率以及数据的采集准确性都优于固定式声级监测终端方式,系统完成变压器声级巡检全过程的成功率可达95%。

With the gradual increase in the number of substations in China,the use of fixed sound level monitoring terminals for transformer sound level detection can no longer meet the needs of daily detection.To solve the problems of high cost,complex maintenance,and low equipment utilization of fixed sound level monitoring terminals,this paper first proposes a transformer sound level inspection system and designs the optimal sound level inspection path.The transformer site grid map information is generated through site positioning sensors,and the Hybrid A^(*)algorithm is used to generate the optimal sound level inspection path detection points that meet the requirements of the national standard for the site grid map information;based on the developed transformer sound level inspection device,the generated inspection path is used to determine the sound level of the transformer.The measured sound level data is analyzed and processed.The test results show that the system and design algorithm developed in this article are superior to the fixed sound level monitoring terminal method in terms of transformer sound level inspection time,detection efficiency,and data acquisition accuracy.The success rate of the system completing the entire process of transformer sound level inspection can reach 95%.