基于GIM模型的输电线路通道隐患快速检测

doi:10.12204/j.issn.1000-7229.2023.01.012

摘要/Abstract

摘要：

为解决现有输电线路电网信息模型(grid information model, GIM)通道隐患检测方法检测效率低、优化算法存在漏检的问题,提出一种基于等线长点集化和球体包含原理的通道隐患快速检测方法。首先,采用等线长间隔采样方式将导线由空间曲线转化为离散点集,使离散点集在电力线上均匀分布以解决传统等水平间隔采样方式离散点集分布不均匀、特殊档精度较差问题;其次,在地物点到电力线离散点最近距离计算过程中引入球体包含原理对地物点隐患可能进行判断,对不存在隐患可能的地物点跳过邻近点搜索计算,实现通道隐患快速检测。实验表明,该方法在导线点集化方面,对于普通档、特殊档均能保证采样点均匀分布,在线长间隔为10 cm的情况下将最近点的定位误差始终控制在5 cm以内;在检测效率方面,在保证检测精度的前提下将隐患检测耗时优化为传统逐点检测耗时的6.9%,具有较强的实际应用价值。

关键词: 电网信息模型(GIM), 架空输电线路, 通道隐患检测, 等线长间隔, 球体包含原理

Abstract:

In order to solve the problems of low detection efficiency of existing channel hidden danger detection methods of transmission line GIM (grid information model) model and missing detection of optimization algorithm, a fast detection method of channel hidden danger, which is based on the principle of equal line length point aggregation and sphere inclusion, is proposed. Firstly, according to the equal line length interval sampling, the conductor is transformed from the spatial curve to the discrete point set, so that the discrete point set is evenly distributed on the power line, so as to solve the problem of uneven distribution of discrete point set and poor accuracy of special gear in the traditional equal level interval sampling method; Secondly, in the process of batch point hidden danger detection, the sphere inclusion principle is introduced to judge the potential hidden dangers of ground objects, and the adjacent point search calculation is skipped for the ground objects that do not have the potential hidden dangers, so as to realize the rapid detection of channel hidden dangers. Experiments show that this method can ensure the distribution of sampling points in both ordinary and special gears, and control the positioning tolerance of the nearest point within the target range; In terms of detection efficiency, the hidden danger detection time can be optimized to 6.9% of the original time on the premise of ensuring the detection accuracy.

This work is supported by State Grid Corporation of China Research Program(No. 5700-202156170A-0-0-00).

Key words: grid information model (GIM), overhead transmission line, channel hidden danger detection, equal line length interval, sphere inclusion principle

中图分类号:

TM752

齐立忠, 张苏, 张亚平, 孙小虎. 基于GIM模型的输电线路通道隐患快速检测[J]. 电力建设, 2023, 44(1): 100-108.

QI Lizhong, ZHANG Su, ZHANG Yaping, SUN Xiaohu. Fast Detection Based on GIM Model for Hidden Dangers in Transmission Lines[J]. ELECTRIC POWER CONSTRUCTION, 2023, 44(1): 100-108.

图/表 15

图1 输电GIM文件信息结构

Fig.1 Transmission GIM file information structure

表1 导线属性信息表

Table 1 Wire attribute information table

图2 挂点连线竖直平面内电力线形态分布示意图

Fig.2 Schematic diagram of vertical plane power line distribution form of hanging point connection

图3 等水平间隔采用下电力线离散点集分布图

Fig.3 Distribution diagram of power line discrete point set with equal horizontal interval

图4 等线长间隔采用下电力线离散点集分布图

Fig.4 Distribution diagram of discrete point set of lower power line with equal line length interval

图5 基于球体包含原理的隐患点可能性判定示意

Fig.5 Schematic diagram of potential hazard point determination based on sphere inclusion principle

图6 线路走廊平面坐标系示意图

Fig.6 Schematic diagram of line corridor plane coordinate system

图7 通道隐患快速检测算法流程图

Fig.7 Flow chart of channel hidden danger fast detection algorithm

表2 两档GIM电力线相关信息与采样点数

Table 2 Relevant information and sampling points of two GIM power lines

图8 两档GIM电力线的最近点定位限差分布图

Fig.8 Distribution diagram of maximum value of nearest point positioning deviation of two GIM power lines

图9 区域最近点定位偏差分布图

Fig.9 Distribution map of regional nearest point positioning deviation

图10 50档地物点点数统计

Fig.10 Statistical chart of 50 ground feature points

图11 3种隐患检测方法检测耗时对比

Fig.11 Comparison of detection time of three hidden danger detection methods

表3 通道隐患检测隐患点数统计

Table 3 Statistics of hidden danger points of channel hidden danger detection

图12 本文方法与网格法隐患检测结果对比

Fig.12 Comparison of hidden danger detection results between this method and grid method

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