Power transmission on-line image video intelligent monitoring device and method

Abstract

This invention relates to an intelligent online image and video monitoring device for power transmission, comprising a camera sensor, a solar panel, a lithium battery, a core module, and a motherboard. The camera sensor is used for acquiring image and video data; the solar panel provides power to the core; the lithium battery stores the electrical energy converted by the solar panel; the core module integrates an AI intelligent analysis algorithm and a data processing unit, wherein the AI ​​intelligent analysis algorithm supports tiered response processing for safety hazard events; and the motherboard handles the connection and control functions of the various components of the device. Compared with existing technologies, this invention has advantages such as a significantly reduced alarm false alarm rate.

Description

Technical Field

[0001] This invention relates to the field of online power transmission image monitoring technology, and in particular to an intelligent monitoring device and method for online power transmission images and videos. Background Technology

[0002] Currently, equipment used for image and video monitoring of power transmission lines is mainly divided into two categories, but both have significant shortcomings and are difficult to meet actual monitoring needs: The first type is timed image capture and analysis equipment. To reduce power consumption and communication traffic, this type of equipment typically has a long capture interval (usually 30 minutes, configurable). It uses AI to intelligently analyze the captured images to determine if there are any safety hazards. However, due to the excessively long capture interval, it is difficult to effectively capture sudden safety events that occur within a short period (such as high-risk work vehicles temporarily entering the site, or the initial stages of a wildfire that starts instantly). This results in a very high rate of missed alarms. It can only provide limited monitoring for construction scenarios involving long-term continuous operations and cannot achieve comprehensive, blind-spot-free safety protection, or it can only replace traditional manual line inspection functions.

[0003] The second category is real-time video AI analysis equipment. This type of equipment continuously analyzes real-time video streams using AI and pushes the video data to the backend in real time, enabling timely detection of various security risks. However, this type of equipment has significant performance and cost limitations: on the one hand, real-time video analysis requires processing 24 frames per second, placing extremely high demands on AI computing power and resulting in high hardware costs; on the other hand, continuous video transmission and high-intensity computation significantly increase power consumption and communication traffic consumption, leading to high overall operating costs and hindering widespread installation and deployment, thus failing to meet the monitoring needs of large-scale power transmission lines. Summary of the Invention

[0004] The purpose of this invention is to provide an intelligent online image and video monitoring device and method for power transmission, which aims to reduce the alarm false alarm rate, control equipment costs, and facilitate widespread adoption.

[0005] The objective of this invention can be achieved through the following technical solutions: A smart monitoring device for online power transmission image and video includes a camera sensor, a solar panel, a lithium battery, a core module, and a motherboard; Among them, the camera sensor is used for the acquisition of image and video data; Solar panels are used for core power supply; Lithium-ion batteries are used to store electrical energy converted from solar panels; The core module is used to integrate AI intelligent analysis algorithms and data processing units. The AI ​​intelligent analysis algorithms support graded response and processing of security hazard events. The motherboard is used to connect and control the various components of the device.

[0006] The camera sensor supports capture and recording functions at different frequencies, and the data output by the camera sensor is input into an AI intelligent analysis algorithm.

[0007] The lithium battery is a lithium iron phosphate battery.

[0008] The core module is used to identify, analyze and judge security risks from the data output by the camera sensor, and integrates 4G communication circuitry.

[0009] A method for intelligent monitoring of online power transmission images and videos, employing the aforementioned device, is characterized by comprising the following steps: Device initialization; The core module sends the device's unique ID information to the backend server via a 4G communication circuit to complete the device registration and establish a dedicated communication link with the backend. After successful device registration, the core module periodically sends heartbeat messages to the backend server; The alert monitoring mode is activated, the camera sensor acquires images, and the core module simultaneously performs AI intelligent analysis on the images to determine whether there are any events within the alert range that could endanger the safety of the power transmission lines. The AI ​​will take a tiered approach to responding to the assessment results. If the AI ​​analysis determines that there is a potential security risk, it will enter alert mode. Conversely, it enters storage mode.

[0010] The specific steps for system initialization are as follows: After the device is powered on, the core module controls the 4G communication circuit to automatically dial and connect to the network, thus establishing a network link.

[0011] Events that endanger the safety of power transmission lines include one or more of the following: high-risk operating vehicles, wildfires, and unauthorized intrusions.

[0012] The alert mode is as follows: the capture frequency is increased to 5 frames per second, and high-frequency analysis is continuously performed to determine whether the hidden danger has posed a substantial threat to the safety of the line; at the same time, a high-definition alarm image is sent to the background to trigger an early warning, and the real-time recording function of 24 frames per second is started, and the recorded data is stored locally.

[0013] Storage mode is: The captured images, one frame every 10 seconds, are combined into a slow-frame video and stored locally.

[0014] Storage modes also include: slow-frame videos are retained for 3 months, and automatically overwritten after the retention period expires.

[0015] Compared with the prior art, the present invention has the following beneficial effects: 1. Significantly reduced alarm false alarm rate: Through a hierarchical response mechanism of 1 frame per 10 seconds for routine monitoring, 5 frames per second for high-frequency capture during alarms, and real-time video recording, it not only avoids the problem of false alarms caused by excessively long intervals between timed capture devices, but also accurately captures sudden safety events, achieving all-weather, all-round hazard monitoring. 2. Significantly optimized energy consumption and traffic costs: Under normal conditions, low-frequency capture and local storage are used, and high-frequency acquisition and data upload are only activated when an alarm occurs. Compared with real-time video monitoring equipment, power consumption is reduced by more than 80% and communication traffic consumption is reduced by 85%, significantly reducing equipment operating costs. 3. Controllable equipment cost and easy to popularize: It can meet the AI ​​analysis needs by adapting to low computing power chips, without the need for high-performance processors, reducing battery capacity configuration and reducing the overall hardware cost by 60%-80%. At the same time, it takes into account the economics of solar power supply, enabling the device to be widely installed and cover a wider range of power transmission lines. 4. Strong functional versatility: It integrates three major functions: routine alert monitoring, emergency alarm response, and scheduled inspection. It not only meets the real-time security protection needs, but also retains the routine recording function of traditional inspection. It eliminates the need for additional configuration of multiple devices, simplifies the monitoring system, and improves operation and maintenance efficiency. Attached Figure Description

[0016] Figure 1 This is a schematic diagram showing the connection of the device components of the present invention; Figure 2 This describes the image acquisition and alarm workflow of the device of the present invention. Detailed Implementation

[0018] The present invention will now be described in detail with reference to the accompanying drawings and specific embodiments. These embodiments are based on the technical solution of the present invention and provide detailed implementation methods and specific operating procedures. However, the scope of protection of the present invention is not limited to the following embodiments.

[0019] This device adopts an intelligent working mode of "low-power inspection + dynamic early warning upgrade", which balances monitoring timeliness and cost control. The specific working steps are as follows: 1. System initialization: After the device is powered on, the core module controls the 4G communication circuit to automatically dial and connect to the network, and complete the network link establishment; 2. Device Registration: After a successful network connection, the core module sends the device's unique ID information to the backend server through the 4G communication channel to complete the device registration and establish a dedicated communication link with the backend. 3. Online Maintenance: After successful device registration, the device periodically sends heartbeat messages to the backend server (default interval 5 minutes, configurable) to ensure that the backend can monitor the device's operating status in real time and maintain the device's online connection. 4. Warning and monitoring activation: After the equipment enters normal operation, the warning and monitoring mode is activated. By default, it captures images at a frequency of 1 frame every 10 seconds (configurable within the range of 5 to 10 seconds). The core module simultaneously performs AI intelligent analysis on the captured images to determine whether there are any events within the warning range that could endanger the safety of the power transmission lines (such as high-risk operating vehicles, wildfires, illegal intrusions, etc.). 5. Graded response handling: If AI analysis determines that a security hazard exists: the capture frequency is immediately increased to 5 frames per second, and high-frequency analysis is continuously performed to determine whether the hazard has posed a substantial threat to line safety; at the same time, a high-definition alarm image is immediately sent to the backend to trigger an alert, and a real-time recording function of 24 frames per second is started. The recorded data is stored locally (supporting up to 1TB of local storage) for the backend to access and verify at any time; this state continues until the hazard leaves the warning range or the backend manually cancels the alarm, at which point the device returns to the alert monitoring mode of 1 frame per 10 seconds; ○If the AI ​​analysis does not detect any security risks: The captured images at 1 frame every 10 seconds will be integrated into a slow-frame video and stored locally. The video will be retained for 3 months and will be automatically overwritten after the retention period expires to ensure reasonable use of storage resources. 6. Scheduled Inspection and Supplement: While conducting alert monitoring, the device automatically captures one inspection image every 30 minutes by default (the time interval can be flexibly adjusted through backend configuration) and uploads it to the backend server, taking into account the inspection needs of traditional power transmission lines and realizing routine safety status recording.

[0020] 1. Dynamic frequency adjustment technology: Automatically switches the capture and analysis frequency based on whether a safety hazard is detected (normal 10 seconds / frame, alarm 5 frames / second), accurately balancing monitoring timeliness and resource consumption, and avoiding unnecessary energy consumption; 2. Local storage + on-demand upload strategy: Only key images are uploaded when an alarm is triggered, while other image and video data are stored locally, significantly reducing communication traffic costs; 3. Low computing power adaptation design: During the normal monitoring phase, one frame of image is analyzed every 10 seconds, and the maximum AI analysis time is supported to 150ms / frame. It can be adapted to low computing power chips, reducing the hardware cost of the device. 4. Dual power supply guarantee: The device uses a combination of solar panels and lithium iron phosphate batteries to ensure continuous and stable operation under complex climatic conditions, without the need for additional wiring.

[0021] 1. Significantly reduced alarm false alarm rate: Through a graded response mechanism of "1 frame per 10 seconds routine monitoring + 5 frames per second high-frequency capture during alarm + real-time recording", it not only avoids the problem of false alarm caused by excessively long intervals between timed capture devices, but also accurately captures sudden safety events, achieving all-time, all-round hazard monitoring. 2. Significantly optimized energy consumption and traffic costs: Under normal conditions, low-frequency capture and local storage are used, and high-frequency acquisition and data upload are only activated when an alarm occurs. Compared with real-time video monitoring equipment, power consumption is reduced by more than 80% and communication traffic consumption is reduced by 85%, significantly reducing equipment operating costs. 3. Controllable equipment cost and easy to popularize: It can meet the AI ​​analysis needs by adapting to low computing power chips, without the need for high-performance processors, reducing the battery capacity configuration (40Ah can achieve 30 days of no-sunlight battery life), reducing the overall hardware cost (including battery) by 60%-80%, while taking into account the economics of solar power supply, enabling the device to be widely installed and covered by a wider range of power transmission lines. 4. Strong functional versatility: It integrates three major functions: "routine alert monitoring + emergency alarm response + scheduled inspection", which not only meets the real-time security protection needs, but also retains the routine recording function of traditional inspection. It eliminates the need for additional configuration of multiple devices, simplifies the monitoring system, and improves operation and maintenance efficiency.

[0022] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

Claims

1. A power transmission on-line image video intelligent monitoring device, characterized in that, This includes camera sensors, solar panels, lithium batteries, core modules, and the motherboard; Among them, the camera sensor is used for the acquisition of image and video data; Solar panels are used for core power supply; Lithium-ion batteries are used to store electrical energy converted from solar panels; The core module is used to integrate AI intelligent analysis algorithms and data processing units. The AI ​​intelligent analysis algorithms support graded response and processing of security hazard events. The motherboard is used to connect and control the various components of the device. 2.The power transmission online image and video intelligent monitoring device according to claim 1, characterized in that, The camera sensor supports capture and recording functions at different frequencies, and the data output by the camera sensor is input into an AI intelligent analysis algorithm. 3.The power transmission online image and video intelligent monitoring device according to claim 2, characterized in that, The lithium battery is a lithium iron phosphate battery. 4.The power transmission online image and video intelligent monitoring device according to claim 3, characterized in that, The core module is used to identify, analyze and judge security risks from the data output by the camera sensor, and integrates 4G communication circuitry.

5. A power transmission online image video intelligent monitoring method, adopting the device of any one of claims 1-4, characterized in that, The method includes the following steps: Device initialization; The core module sends the device's unique ID information to the backend server via a 4G communication circuit to complete the device registration and establish a dedicated communication link with the backend. After successful device registration, the core module periodically sends heartbeat messages to the backend server; The alert monitoring mode is activated, the camera sensor acquires images, and the core module simultaneously performs AI intelligent analysis on the images to determine whether there are any events within the alert range that could endanger the safety of the power transmission lines. The AI ​​will take a tiered approach to responding to the assessment results. If the AI ​​analysis determines that there is a potential security risk, it will enter alert mode. Conversely, it enters storage mode. 6.The power transmission online image and video intelligent monitoring device according to claim 5, characterized in that, The specific steps for system initialization are as follows: After the device is powered on, the core module controls the 4G communication circuit to automatically dial and connect to the network, thus establishing a network link.

7. The power transmission on-line image and video intelligent monitoring device according to claim 6, characterized in that, Events that endanger the safety of power transmission lines include one or more of the following: high-risk operating vehicles, wildfires, and unauthorized intrusions.

8. The power transmission online image and video intelligent monitoring device according to claim 7, characterized in that, The alert mode is as follows: the capture frequency is increased to 5 frames per second, and high-frequency analysis is continuously performed to determine whether the hidden danger has posed a substantial threat to the safety of the line; at the same time, a high-definition alarm image is sent to the background to trigger an early warning, and the real-time recording function of 24 frames per second is started, and the recorded data is stored locally. 9.The power transmission online image and video intelligent monitoring device according to claim 8, characterized in that, Storage mode is: The captured images, one frame every 10 seconds, are combined into a slow-frame video and stored locally.

10. The power transmission online image and video intelligent monitoring device according to claim 8, characterized in that, Storage modes also include: slow-frame videos are retained for 3 months, and automatically overwritten after the retention period expires.

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