Power transmission line standing tower type channel three-dimensional early warning device and method

Abstract

The invention relates to a power transmission line standing tower type channel three-dimensional early warning device and method. A starlight-level night vision camera, a differential GNSS acquisition module, a tweeter, an electric holder, a three-dimensional laser radar, a power supply module and a communication module are all connected with a control module, and the communication module is connected to a background server. The storage battery and the solar cell panel are connected to the power supply module. The early warning method comprises the following steps: S1, issuing an instruction; s2, image acquisition; s3, analyzing hidden dangers; s4, issuing a three-dimensional laser point cloud data acquisition instruction; and S5, performing early warning analysis and warning. According to the invention, accurate distance measurement and timely early warning can be carried out on construction and external damage hidden dangers in a power transmission line channel, equipment power consumption is reduced, equipment service life is prolonged, and on-site operators are reminded to pay attention to construction safety.

Description

Technical Field

[0001] This invention belongs to the field of power transmission line operation and maintenance technology, specifically relating to a three-dimensional early warning device and method for tower-mounted channels of power transmission lines. Background Technology

[0002] Overhead transmission lines are widely distributed and surrounded by complex environments, and the passageways beneath them are frequently subject to problems such as construction work and external damage. With the popularization of visualization and intelligent identification technologies for transmission passageways, the intelligent identification of various hidden dangers within the transmission line passageway has been initially achieved. However, there are still shortcomings in accurately controlling the distance between hidden dangers in the transmission passageway and live conductors.

[0003] Common visualization equipment for power transmission line corridors uses the single vanishing point principle to convert the distance between pixels in a two-dimensional image and the real world, enabling the measurement of the distance to potential hazards along the transmission line corridor. However, this method is limited by the algorithm and the availability of reference objects of known size, resulting in a ranging error within 5 meters, which is relatively large and cannot achieve rapid location of potential hazards in the corridor. Summary of the Invention

[0004] The purpose of this invention is to overcome the shortcomings of the prior art and provide a three-dimensional early warning device and method for tower-mounted channels of power transmission lines.

[0005] The technical problem solved by this invention is achieved through the following technical solution: A three-dimensional early warning device for tower-mounted transmission line channels includes a three-dimensional lidar, a starlight-level night vision camera, an electric pan-tilt unit, a differential GNSS acquisition module, a solar panel, a battery, a power supply module, a loudspeaker, a control module, a communication module, and a backend server. The starlight-level night vision camera, the differential GNSS acquisition module, the loudspeaker, the electric pan-tilt unit, the three-dimensional lidar, the power supply module, and the communication module are all connected to the control module. The communication module is connected to the backend server, and the battery and the solar panel are both connected to the power supply module.

[0006] A three-dimensional early warning method for transmission line tower-mounted channels, employing the aforementioned early warning device, comprises the following steps: S1. Command issuance: The control module issues an image acquisition command, and the starlight-level night vision camera periodically acquires images of the power transmission line channel and transmits them to the control module; S2, Image Acquisition: The control module compresses the acquired images and transmits them back to the backend server via the communication module; S3. Hazard Analysis: The backend server uses AI algorithms to process and analyze hazards in the images and feeds back the location of the hazards to the control module. S4. Three-dimensional laser point cloud data acquisition command issued: The control module sends a command to the motorized pan-tilt unit, which then aligns the three-dimensional laser radar on the motorized pan-tilt unit with the location of the potential hazard and begins acquiring three-dimensional laser point cloud data. Simultaneously, the motorized pan-tilt unit records three-axis acceleration. The differential GNSS acquisition module records location data, including three-dimensional laser point cloud data, three-axis acceleration data, and differential GNSS data. After data acquisition is completed, the data is transmitted back to the backend server via the communication module. S5. Early Warning Analysis and Warning: The backend server calculates point cloud data and displays it in 3D, while also conducting 3D distance measurement and analysis; when the safe distance is insufficient, staff remotely issue alarm voice messages and issue timely warnings through loudspeakers.

[0007] The advantages and beneficial effects of the invention are as follows: 1. This invention uses a three-dimensional lidar to accurately measure the distance to construction and external damage hazards within power transmission line channels.

[0008] 2. The integration of this invention with online video detection can improve the data acquisition efficiency of 3D LiDAR, reduce equipment power consumption, and extend equipment life.

[0009] 3. This invention integrates multiple LiDAR sensors, which can monitor intrusions in the power transmission line channel in real time and send early warning information to monitoring personnel in a timely manner. It also has a remote announcement function, which can issue a warning in a timely manner when the safe distance is insufficient, reminding on-site workers to pay attention to construction safety. Attached Figure Description

[0010] Figure 1 This is a schematic diagram of the early warning device of the present invention; Figure 2 This is a flowchart of the early warning process of the present invention. Detailed Implementation

[0011] The present invention will be further described in detail below through specific embodiments. The following embodiments are merely descriptive and not limiting, and should not be used to limit the scope of protection of the present invention.

[0012] like Figure 1 As shown, a three-dimensional early warning device for tower-mounted transmission line channels includes a three-dimensional lidar, a starlight-level night vision camera, an electric pan-tilt unit, a differential GNSS acquisition module, a solar panel, a battery, a power supply module, a loudspeaker, a control module, a communication module, and a back-end server. The starlight-level night vision camera, differential GNSS acquisition module, loudspeaker, electric pan-tilt unit, three-dimensional lidar, power supply module, and communication module are all connected to the control module. The communication module is connected to the back-end server. The battery and solar panel are both connected to the power supply module.

[0013] like Figure 2As shown, a three-dimensional early warning method for transmission line tower-mounted channels, employing the aforementioned early warning device, comprises the following steps: S1. Command issuance: The control module issues an image acquisition command, and the starlight-level night vision camera periodically acquires images of the power transmission line channel and transmits them to the control module; S2, Image Acquisition: The control module compresses the acquired images and transmits them back to the backend server via the communication module; S3. Hazard Analysis: The backend server uses AI algorithms to process and analyze hazards in the images and feeds back the location of the hazards to the control module. S4. Three-dimensional laser point cloud data acquisition command issued: The control module sends a command to the motorized pan-tilt unit, which then aligns the three-dimensional laser radar on the motorized pan-tilt unit with the location of the potential hazard and begins acquiring three-dimensional laser point cloud data. Simultaneously, the motorized pan-tilt unit records three-axis acceleration. The differential GNSS acquisition module records location data, including three-dimensional laser point cloud data, three-axis acceleration data, and differential GNSS data. After data acquisition is completed, the data is transmitted back to the backend server via the communication module. S5. Early Warning Analysis and Warning: The backend server calculates point cloud data and displays it in 3D, while also conducting 3D distance measurement and analysis; when the safe distance is insufficient, staff remotely issue alarm voice messages and issue timely warnings through loudspeakers.

[0014] This invention uses a three-dimensional lidar to accurately measure the distance to construction sites and potential external damage within power transmission line corridors.

[0015] This invention, when integrated with online video detection, can improve the data acquisition efficiency of 3D LiDAR, reduce equipment power consumption, and extend equipment lifespan.

[0016] This invention integrates multiple LiDAR sensors, enabling real-time monitoring of intrusions within power transmission line channels and timely sending of early warning information to monitoring personnel. It also features a remote announcement function, issuing timely warnings to remind on-site workers to pay attention to construction safety in cases of insufficient safe distance.

[0017] Although embodiments and drawings of the present invention have been disclosed for illustrative purposes, those skilled in the art will understand that various substitutions, variations and modifications are possible without departing from the spirit and scope of the present invention and the appended claims. Therefore, the scope of the present invention is not limited to the contents disclosed in the embodiments and drawings.

Claims

1. A three-dimensional early warning device for transmission line tower-mounted channels, characterized in that: The system includes a 3D LiDAR, a starlight-level night vision camera, a motorized pan-tilt unit, a differential GNSS acquisition module, a solar panel, a battery, a power supply module, a loudspeaker, a control module, a communication module, and a backend server. The starlight-level night vision camera, the differential GNSS acquisition module, the loudspeaker, the motorized pan-tilt unit, the 3D LiDAR, the power supply module, and the communication module are all connected to the control module. The communication module is connected to the backend server, and the battery and the solar panel are both connected to the power supply module.

2. A three-dimensional early warning method for transmission line tower-mounted channels, characterized in that: The method using the early warning device as described in claim 1 comprises the following steps: S1. Command issuance: The control module issues an image acquisition command, and the starlight-level night vision camera periodically acquires images of the power transmission line channel and transmits them to the control module; S2, Image Acquisition: The control module compresses the acquired images and transmits them back to the backend server via the communication module; S3. Hazard Analysis: The backend server uses AI algorithms to process and analyze hazards in the images and feeds back the location of the hazards to the control module. S4. Three-dimensional laser point cloud data acquisition command issued: The control module sends a command to the motorized pan-tilt unit, which then aligns the three-dimensional laser radar on the motorized pan-tilt unit with the location of the potential hazard and begins acquiring three-dimensional laser point cloud data. Simultaneously, the motorized pan-tilt unit records three-axis acceleration. The differential GNSS acquisition module records location data, including three-dimensional laser point cloud data, three-axis acceleration data, and differential GNSS data. After data acquisition is completed, the data is transmitted back to the backend server via the communication module. S5. Early Warning Analysis and Warning: The backend server calculates point cloud data and displays it in 3D, while also conducting 3D distance measurement and analysis; when the safe distance is insufficient, staff remotely issue alarm voice messages and issue timely warnings through loudspeakers.

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