摘要
变电站和电力铁塔形变会对电力安全输送造成威胁,传统的PSI技术监测点密度稀疏,难以实现变电站和电力铁塔精细形变测量。基于18景TerraSAR-X Strimap模式高分辨率影像数据,采用JSInSAR技术获取了成都地区尖山和九江2座500 kV变电站及周边电力铁塔的毫米级形变监测结果,并从纵向和横向2个维度分析了其时序形变趋势。研究发现,JSInSAR技术使得形变监测点的空间密度达到了传统PSI技术的5倍,2座变电站形变速率均小于8 mm/年,均处在安全运行阶段;周边电力铁塔纵向和横向累积变形差异均比较小,铁塔较为稳定。证明了JSInSAR技术能够有效增加形变监测点空间密度,获取更为丰富的形变细节,同传统地面监测手段相比,该技术的形变监测点的空间密度更高,监测点的精度也更高。同时也证明了该技术在电力基础设施形变监测方面具有广阔的应用前景。
The deformation of substations and power towers could threaten the secure transmission of electric power. Due to thesparsity of distributed monitoring points, the traditional PSI technology is incapable of achieving high-precision measurement inpractice. Alternatively, this paper adopted the JSInSAR technology to obtain the millimeter-scale deformation monitoring results oftwo 500 kV substations and surrounding power towers in Jianshan and Jiujiang areas of Chengdu, and analyzed their time-seriesdeformation trends from both vertical and horizontal dimensions, based on 18 TerraSAR-X Strimap high-resolution image data.Simulation results showed that the spatial density of deformation monitoring points with JSInSAR technology is 4 times larger thanthose with the traditional PSI technology; two substations are in safe operating stations, with a relatively small vertical and horizontalcumulative deformation difference, which confirms the superiority of JSInSAR technology on increasing the spatial density ofdeformation monitoring points and obtaining more abundant deformation details. Compared with traditional ground-basedmonitoring methods, the space density of the deformation monitoring points as well as its accuracy with JSInSAR technology arehigher, suggesting broad application prospects in power infrastructure monitoring of JSInSAR technology.
作者
肖行诠
张金宝
焦一飞
陈中国
熊晓曼
黄世鲸
焦敏
XIAO Xingquan;ZHANG Jinbao;JIAO Yifei;Chen Zhongguo;XIONG Xiaoman;HUANG Shijing;JIAO Min(State Grid Sichuan Electric Power Company Economic and Technical Research Institute,Chengdu 610041,China;Sichuan Rycon Innovative Technology Co.,Ltd.,Chengdu 610041,China)
出处
《中国电力》
CSCD
北大核心
2018年第11期45-52,共8页
Electric Power
基金
国网四川省电力公司科技项目(基于时序干涉微波遥感(SAR)的输变电设施及周边环境形变监测技术研究项目
SGSCJY00JHJS1700026)~~