Overhead line external damage prevention monitoring system and method based on AI and radar detection

Abstract

The invention provides an overhead line external damage prevention monitoring system based on AI and radar detection. The system comprises a front-end detection unit which is disposed on a tower and is used for detecting the surrounding environment of an overhead transmission line, and forming detection information and alarm information; a background monitoring unit used for receiving the detection information and the alarm information of the front-end detection unit, carrying out visual monitoring on the surrounding environment of the overhead transmission line and generating a control instruction; and a communication transmission unit used for performing communication transmission on the front-end detection unit and the background monitoring unit. The invention further provides an overhead line external damage prevention monitoring method based on AI and radar detection. According to the invention, real-time monitoring can be carried out on the power transmission line and surrounding conditions, so that operators on duty can know field conditions in real time; face recognition, license plate recognition, safety helmet intelligent recognition and storage can be performed on field personnel through an AI intelligent analysis module; and an on-site video or photographing system is linked to carry out alarm linkage.

Description

technical field [0001] The invention relates to the technical field of power grid power distribution, in particular to a monitoring system and method for preventing external force damage of overhead lines based on AI and radar detection. Background technique [0002] In recent years, with the rapid development of economy and society, the continuous expansion of urban construction scale, the soundness of roads, railways, and pipeline networks, various large-scale construction machinery and equipment have been widely used in power facility protection areas, but due to the geographical location of power lines Due to the particularity of location and environmental conditions, towers are installed in many locations, with a wide area and long distances. Power transmission and transformation equipment has been exposed to the wild for a long time. Severe weather changes threaten the safe and reliable operation of equipment. Accompanied by it, such as the theft of power grid cables a...

AI Technical Summary

Problems solved by technology

[0005] 1) The effect of preventing external damage is not obvious: because most of the external damage occurs instantaneously, when the system generates an alarm in the background, the external damage has already occurred, the loss is inevitable, and the preventive effect cannot be achieved;

[0006] 2) Continuous interference during system operation: When there are any moving or deliberate objects in the monitoring area, the system will regard them as suspected objects that are about to break out. Therefore, if there is any disturbance in the monitoring area, the background will alarm, and personnel need to pay attention immediately , Over time, the on-duty personnel are exhausted, the trust in the system is greatly reduced, and the on-site false alarm rate can often reach more than 70%;

The working module installed on the front end can hardly do this, so it is limited in the intelligent recognition of objects;

[0008] 4) Disadvantages of video one-point multi-control: the traditional method is to use a camera on a tower to set multiple preset positions for peripheral inspection. Multi-control effect, but if the preset position 1 breaks out, but the camera is in the preset position 3, then the breakout behavior is not only not detected, but even the entire implementation process cannot be tracked, resulting in monitor blind spots;

[0009] 5) The information on the target of the breach is not detailed: After the breach occurs, we can know the scene situation through the background video playback function of this type of system, but due to the angle and image quality of the camera itself, we cannot know the target of the breach. The details of the accident on the scene cannot be accurately grasped

For example, when a tower crane passes through the lower wire and a wire-touch accident occurs, the vertical height of the vehicle at that time, how fast it is, and the exact location where the wire-touch occurred cannot be known;

[0010] 6) The monitoring mode consumes a lot of power: Since the anti-breakage monitoring work all depends on the video system, the camera and the transmission system are in the working state for a long time, and the system consumes a lot of power. The current power supply mode of the transmission line online monitoring system is mostly In the way of solar energy plus battery, if the system works for a long time without changing the monitoring mode, and the power consumption of the camera and the pan / tilt is relatively large, power supply will be a very difficult problem, and the stability will be greatly reduced;

[0011] 7) Unfavorable breach behavior statistics: Due to the influence of many factors such as the installation angle during the video surveillance process, even if a certain behavior can be photographed in the surveillance screen, there are different individual differences in each image of the object , for example, the shape and characteristics of the same object may be different at the near focal length and far focal length of the camera, which is not conducive to the statistics of breaching behavior

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