Power transmission line wire icing thickness detection system and method

Abstract

The invention relates to a power transmission line wire icing thickness detection system and method, and the method comprises the steps: collecting and uploading an image and video data of a field power transmission line wire through an image collection terminal, and carrying out the wire icing thickness detection through an icing detection early-warning system according to the following steps: 1)preprocessing the image; 2) extracting an edge in the image by adopting a Canny edge detection algorithm; 3) adopting a Hough straight line detection algorithm to obtain wire edge sub-line segments;4) determining the edge to which each sub-line segment belongs by adopting an improved K-means algorithm; 5) fitting to obtain a complete and continuous wire edge; 6) mapping the wire pixel width intoan actual width based on a monocular vision distance mapping model; and 7) comparing the current actual thickness value of a wire with the thickness value of a wire which is not iced, calculating theicing thickness value of the wire, and if the icing thickness value exceeds the icing thickness threshold, carrying out early warning. The system and the method are beneficial to accurately and conveniently detecting the icing condition of the wire of the power transmission line.

Description

technical field [0001] The invention belongs to the technical field of transmission line detection, and in particular relates to a detection system and method for the ice coating thickness of transmission line conductors. Background technique [0002] Transmission lines in mountainous or high-altitude areas are often covered with icing in winter, which mainly depends on environmental humidity, temperature, wind speed, wind direction and other conditions. In the cold winter environment, when the ambient temperature and humidity reach a certain level, the transmission line will be covered with ice. If deicing measures are not taken in time, the thickness of the ice layer on the conductors will gradually accumulate. When the thickness exceeds the designed ice resistance capacity, line tripping and disconnection accidents may occur. Huge economic loss; when the wires are covered with ice, the insulation distance between the wires or between the wires and the ground will be redu...

AI Technical Summary

Problems solved by technology

If deicing measures are not taken in time, the thickness of the ice layer on the conductors will gradually accumulate. When the thickness exceeds the designed ice resistance capacity, line tripping and disconnection accidents may occur. Huge economic loss; when the wire is covered with ice, the insulation distance between the wire and the wire or between the wire and the ground will be reduced, and a short circuit will occur, which will endanger the safe and stable operation of the power system

Ice disasters often occur in harsh climate conditions, and most of them are in high-altitude and mountainous areas. It is very difficult and risky to observe manually

The establishment of ice observation stations can reduce the difficulty and risk of observation to a certain extent, but this method has certain errors and requires observers to go deep into ice and snow-covered areas, which has great potential safety hazards

[0003] The traditional icing thickness detection method based on the mechanical model needs to establish a complex model, and the acquired data must strictly meet the timing requirements, and is easily affected by environmental changes; the icing detection method based on a single machine vision algorithm is not accurate enough, and the extracted The edge of the conductor is not smooth, which cannot effectively reflect the state of the conductor; when classifying the line segment at the edge of the conductor, the accuracy of the simple classification or clustering algorithm is insufficient, and the complex algorithm has the defect of poor timeliness. There is no algorithm specially designed for the classification of the conductor edge; In terms of calculating the real thickness of wires, the current common method is the linear mapping method, which converts the pixel width of the wires into the actual distance in direct proportion. Since the width of the near-end wires in the image is the same as that of the far-end wires, but visually due to the "near larger and far smaller" effect, resulting in different widths of the near-end and far-end wires, which is inconsistent with the actual situation, and there is a large error

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