Understanding of leaning utility poles for visual monitoring of power distribution infrastructure

IF 3.6 2区 工程技术 Q1 ENGINEERING, CIVIL Journal of Civil Structural Health Monitoring Pub Date : 2024-06-21 DOI:10.1007/s13349-024-00820-x
Luping Wang, Gang Liu, Shanshan Wang, Hui Wei
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Abstract

Protecting power infrastructure through visual surveillance can assure the safe operation of a power system, especially in unstructured environments where leaning utility poles are particularly inclined to cause large-area blackouts or even personal injury. Current methods place too much emphasis on detection and not enough on understanding leaning postures. However, due to the diversity and uncertainty of leaning utility poles, understanding them remains an urgent problem. Traditional posture estimation via three-dimensional (3D) point clouds is energy-intensive and costly, which limits its adoption in resource-constrained visual surveillance systems. In this study, we present a methodology to understand utility poles, and to estimate their leaning postures using a low-cost monocular camera. Edges and lines are extracted. Through their corresponding proximity and orientation, potential lines of utility poles are estimated. By analyzing relative geometric constraints between potential lines, utility poles are segmented and corresponding leaning angles are estimated, which is helpful to make risk-informed decisions to make leaning utility poles resilient. The approach requires neither prior training, nor calibration or adjustment of the camera’s internal parameters. It is robust against color and illumination associated with severe weather conditions. The percentage of correctly segmented pixels was compared to the ground truth, demonstrating that the method can successfully understand utility poles, meeting safety monitoring requirements for power infrastructure.

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了解倾斜的电线杆,对配电基础设施进行可视化监测
通过视觉监控保护电力基础设施可以确保电力系统的安全运行,特别是在非结构化环境中,倾斜的电线杆尤其容易造成大面积停电甚至人身伤害。目前的方法过于强调检测,而对倾斜姿态的理解不够。然而,由于倾斜电线杆的多样性和不确定性,理解它们仍然是一个亟待解决的问题。传统的三维(3D)点云姿态估算耗能且成本高昂,这限制了其在资源有限的视觉监控系统中的应用。在本研究中,我们提出了一种了解电线杆的方法,并使用低成本单目摄像头估算其倾斜姿态。我们提取了电线杆的边缘和线条。通过其相应的距离和方向,估算出电线杆的潜在线路。通过分析潜在线路之间的相对几何约束,对电线杆进行分割,并估算出相应的倾斜角度,这有助于做出风险知情决策,使倾斜的电线杆具有弹性。这种方法既不需要事先训练,也不需要校准或调整相机的内部参数。它对与恶劣天气条件相关的颜色和光照具有鲁棒性。正确分割像素的百分比与地面实况进行了比较,表明该方法可以成功地了解电线杆,满足电力基础设施的安全监控要求。
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来源期刊
Journal of Civil Structural Health Monitoring
Journal of Civil Structural Health Monitoring Engineering-Safety, Risk, Reliability and Quality
CiteScore
8.10
自引率
11.40%
发文量
105
期刊介绍: The Journal of Civil Structural Health Monitoring (JCSHM) publishes articles to advance the understanding and the application of health monitoring methods for the condition assessment and management of civil infrastructure systems. JCSHM serves as a focal point for sharing knowledge and experience in technologies impacting the discipline of Civionics and Civil Structural Health Monitoring, especially in terms of load capacity ratings and service life estimation.
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