随着变电站智能化的发展,站内运维的智能化配套也成为提高效率、降低风险的重要环节.智能化运维需要完整采集变电站的运行数据,在智能算法的支持下由数据驱动决策,达到安全高效运维的目的.电站内大部分的目标定位、识别、跟踪等功能依赖于视觉终端,所以摄像头网络的布控方案至关重要.针对这一问题,结合变电站智能运维实际情况,提出了基于包含离散变量的三维可视域分析的摄像头布控优化方案,通过在三维空间划分不同重要层级的视域,在包括摄像头类型、成本预算等各种可能的约束条件下,建立对应的数学模型并给出数值优化方案,该方案可以给出变电站智能运维所必需的摄像头的分布和类型,不仅包括必要的点对点参数监控,也能满足摄像头网络之间协同配合的要求.该方案具有方法上的普适性,可以无障碍推广到不同地区或者其他类型的变电站.
With the development of intelligent substations, intelligent operation and maintenance (O&M) within the substation has become a crucial means of improving efficiency and reducing risks. Intelligent O&M requires comprehensive collection of substation operational data and data-driven decision-making supported by intelligent algorithms to achieve safe and efficient O&M. Most functions within the substation, such as target localization, recognition, and tracking, rely on visual terminals, underscoring the importance of the camera network deployment scheme. To address the issue, this study proposes a camera deployment optimization scheme based on discrete-variable three-dimensional (3D) viewshed analysis, considering the practical conditions of intelligent substation O&M. A mathematical model is constructed under various possible constraints, including camera types and cost budgets, by dividing the 3D space into viewsheds with different levels of importance. A numerical optimization scheme is then proposed to determine the placement and types of cameras required for intelligent substation O&M in compliance. It not only enables necessary point-to-point parameter monitoring but also meets the requirements for collaborative operation among camera networks. The proposed scheme has broad methodological applicability and can be readily extended to substations in different regions and of other types.
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