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带有内部悬挂杆的拆卸塔监测系统的开发。

Development of a monitoring system for disassembled towers with internal suspension poles.

机构信息

College of Electrical Engineering & New Energy, China Three Gorges University, Yichang, China.

Hubei Provincial Engineering Technology Research Center for Power Transmission Line, Yichang, China.

出版信息

Sci Rep. 2022 Oct 7;12(1):16882. doi: 10.1038/s41598-022-21395-x.

DOI:10.1038/s41598-022-21395-x
PMID:36207434
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9546914/
Abstract

The traditional construction monitoring methods of suspended pole-mounted decomposed towers are mostly manual monitoring. The monitoring personnel has multiple blind spots, and the possibility of misjudgment based on personal experience is relatively large. It is difficult to ensure the construction safety of the suspended pole decomposing tower. For this reason, combined with the current power Internet of Things technology, this paper develops an intelligent monitoring system for suspended pole-mounted decomposing towers. According to the construction technology and its safety requirements of inner suspension derrick for transmission tower erection in sections, this system is classified into intellisense layer, wireless transport layer and information integration layer. According to the physical characteristics of the seven major risk points of the inner suspension pole group tower, the intellisense layer developed corresponding sensing equipment to obtain risk information. In the wireless transport layer, the ZigBee and 4G communication technologies are selected to interconnect self-constituted LAN and 4G wide area networks, to complete on-site data interaction and long-distance transmission. In the information integration layer, the force of cable, the inclination and height of derrick, and the distance between derrick and tower are determined. The system has been verified by the 500 kV delivery project of Fujian Zhouning Pumped Storage Power Station. The average error of critical monitoring point data is 4.14%, and the average data transmission delays in the far and near fields of the system are 18 ms and 176 ms.

摘要

传统的悬浮抱杆分解组塔施工监测方法大多为人工监测,监测人员存在多个盲区,且基于个人经验误判的可能性较大,难以保证悬浮抱杆分解组塔的施工安全。为此,结合当前电力物联网技术,本文开发了一种悬浮抱杆分解组塔智能监测系统。该系统根据输电线路铁塔分片组立内悬浮抱杆施工技术及其安全要求,分为智能感知层、无线传输层和信息融合层。根据内悬浮抱杆组塔七大风险点的物理特性,智能感知层开发了相应的传感设备,获取风险信息。在无线传输层中,选择 ZigBee 和 4G 通信技术互联自组成的 LAN 和 4G 广域网,完成现场数据交互和远程传输。在信息融合层中,确定了缆索的受力、抱杆的倾斜和高度以及抱杆与铁塔之间的距离。该系统已通过福建周宁抽水蓄能电站 500kV 送电工程进行了验证,关键监测点数据的平均误差为 4.14%,系统远场和近场的平均数据传输延迟分别为 18ms 和 176ms。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3055/9546914/c97d7ac23d9e/41598_2022_21395_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3055/9546914/2ac8eea6f7af/41598_2022_21395_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3055/9546914/a13bb30484ac/41598_2022_21395_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3055/9546914/556b49d0f689/41598_2022_21395_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3055/9546914/e7813c944395/41598_2022_21395_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3055/9546914/c97d7ac23d9e/41598_2022_21395_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3055/9546914/2ac8eea6f7af/41598_2022_21395_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3055/9546914/a13bb30484ac/41598_2022_21395_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3055/9546914/556b49d0f689/41598_2022_21395_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3055/9546914/e7813c944395/41598_2022_21395_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3055/9546914/c97d7ac23d9e/41598_2022_21395_Fig5_HTML.jpg

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