Fault active defense method and system based on holographic monitoring of power transmission channel

Abstract

An active fault defense method and system based on holographic monitoring of a power transmission channel belong to the field of power systems, and comprise the following steps: videos, electrical quantities and environmental quantities collected by video monitoring equipment, electrical quantity sensing equipment and environmental quantity sensing equipment are transmitted to an intelligent analysis module in a central monitoring center in real time; the intelligent analysis module analyzes the video, the electrical quantity and the environmental quantity in real time by using an artificial intelligence algorithm, identifies abnormal conditions, and transmits the identified abnormal condition data and the received video data, electrical quantity data and environmental quantity data to a decision-making brain, so that the decision-making brain comprehensively analyzes the video data, the electrical quantity data and the environmental quantity data; and making an active defense decision. According to the invention, the comprehensive data analysis technology based on deep learning and artificial intelligence can efficiently and accurately identify abnormal conditions, can actively pre-judge and defend various abnormal conditions, has high feasibility and practicability, and can significantly improve the fault defense capability of the power transmission channel.

Description

Technical Field

[0001] The present invention belongs to the technical field of power systems, and in particular relates to a fault active defense method and system based on holographic monitoring of power transmission channels. Background Art

[0002] With the continuous increase in electricity demand and the expansion of the power transmission network, the safety and reliability of power transmission channels are becoming more and more important. Traditional power transmission channel monitoring methods have monitoring blind spots and cannot detect and handle faults caused by external force damage and natural disasters in real time. Therefore, the present invention proposes a fault active defense method and system based on holographic monitoring of power transmission channels to improve the safety of power transmission channels and the efficiency of fault handling.

[0003] Traditional transmission channel monitoring methods mainly rely on decentralized, independent monitoring methods and lack a unified intelligent system to comprehensively process and analyze monitoring data. The following are some implementation steps and strategies for traditional transmission channel monitoring methods.

[0004] 1. Manual inspection:

[0005] Steps: Arrange maintenance personnel to patrol the transmission lines regularly to check the line status and equipment conditions.

[0006] Strategy: Rely primarily on manual visual inspection and recording to detect obvious physical damage or anomalies.

[0007] Disadvantages: high labor intensity, restricted by weather and terrain, inspection blind spots, and inability to monitor in real time and respond quickly.

[0008] 2. Fixed-point monitoring equipment:

[0009] Steps: Install cameras or sensors at key nodes (such as substations and important line intersections) to monitor specific areas.

[0010] Strategy: Use video surveillance cameras, temperature sensors, humidity sensors, vibration sensors, etc. to collect data and monitor specific points.

[0011] Disadvantages: Limited coverage, can only monitor the area around the installation point, cannot cover the entire transmission channel.

[0012] 3. Aircraft inspection:

[0013] Steps: Use drones or helicopters to conduct inspections and obtain high-definition images and videos of transmission lines.

[0014] Strategy: Obtain real-time images and videos of transmission lines through regular or emergency inspections using drones.

[0015] Disadvantages: The inspection frequency is low and due to weather and flight restrictions, continuous monitoring cannot be achieved.

[0016] 4. Online monitoring system:

[0017] Steps: Install various sensors (such as temperature, humidity, vibration, wind speed, etc.) on the transmission line to realize online monitoring of the environment and line status.

[0018] Strategy: Sensors monitor data in real time and transmit it to the control center for analysis via wireless communication technology.

[0019] Disadvantages: Data sources are scattered, lack of comprehensive analysis capabilities, and it is difficult to form an effective fault warning and handling mechanism.

[0020] 5. Fault indicator:

[0021] Steps: Install a fault indicator on the line, and the indicator will send out an alarm signal when a fault occurs.

[0022] Strategy: Use the mechanical or electronic device of the indicator to detect the current and voltage changes of the line and determine the fault location.

[0023] Disadvantages: It can only detect the situation after a fault occurs, but cannot warn or prevent faults.

[0024] 6. Remote control and monitoring system:

[0025] Steps: Install remote control and monitoring equipment in substations and control centers to control and monitor the transmission network through SCADA (Supervisory Control and Data Acquisition System).

[0026] Strategy: Use the SCADA system to collect data from substations and transmission lines to achieve remote monitoring and control.

[0027] Disadvantages: Mainly monitors substations and key nodes, with limited coverage of transmission lines.

[0028] The main problems of traditional transmission channel monitoring methods are as follows:

[0029] 1. Data island problem: Various monitoring methods in traditional transmission channel monitoring methods often operate independently, and data cannot be uniformly collected and analyzed, forming a "data island".

[0030] 2. Delayed response problem: Various monitoring methods in traditional transmission channel monitoring methods lack real-time performance and cannot provide effective early warning and intervention before a fault occurs. They can only be handled passively after a fault occurs.

[0031] 3. Monitoring blind spots: Various monitoring methods in traditional transmission channel monitoring methods are limited by the installation location and technical means of the monitoring equipment, and there are areas that cannot be covered, forming monitoring blind spots.

[0032] These traditional transmission channel monitoring methods have failed to form a unified intelligent system, making it difficult to achieve efficient fault warning and rapid response when faced with complex and changeable natural environments and various external force damages. Summary of the invention

[0033] In order to solve the problems existing in the prior art, the present invention provides a fault active defense method and system based on holographic monitoring of power transmission channels. By integrating multiple monitoring means and intelligent analysis technologies, all-round, real-time monitoring and active defense of power transmission channels can be realized, which will greatly improve the safety of power transmission channels and the efficiency of fault handling.

[0034] The technical solution adopted by the present invention to solve the technical problem is as follows:

[0035] The present invention provides an active fault prevention system based on holographic monitoring of power transmission channels, comprising:

[0036] Central monitoring center;

[0037] A power flow dispatching system connected to a central monitoring center; the power flow dispatching system is used to adjust the power flow according to the control instructions of the central monitoring center;

[0038] Video surveillance equipment, electrical quantity sensing equipment, environmental quantity sensing equipment and loudspeaker control system deployed on the transmission line; the video surveillance equipment, electrical quantity sensing equipment, environmental quantity sensing equipment and loudspeaker control system are all connected to the central monitoring center; the video surveillance equipment is used to collect video data and upload it to the central monitoring center, the electrical quantity sensing equipment is used to collect electrical quantity data and upload it to the central monitoring center, the environmental quantity sensing equipment is used to collect environmental quantity data and upload it to the central monitoring center, and the loudspeaker control system is used to issue warnings according to control instructions from the central monitoring center.

[0039] Furthermore, the central monitoring center includes: an intelligent analysis module, a decision brain connected to the intelligent analysis module, and an early warning notification module connected to the decision brain; the intelligent analysis module is connected to the video monitoring equipment, the electrical quantity sensing equipment and the environmental quantity sensing equipment through the data transmission device 1, and the intelligent analysis module uses an artificial intelligence algorithm to comprehensively analyze the video, electrical quantity and environmental quantity data to identify abnormal situations; the decision brain is connected to the loudspeaker control system through the data transmission device 2, and the decision brain is connected to the power flow dispatching system. The decision brain comprehensively analyzes the video, electrical quantity and environmental quantity data, makes active defense decisions, and sends control instructions to the power flow dispatching system and loudspeaker control system in the active defense system.

[0040] Furthermore, the video surveillance equipment adopts a high-resolution video camera.

[0041] Furthermore, the electrical quantity sensing device includes: a current sensor and a voltage sensor; the current sensor is used to monitor the current data of the transmission line, and the voltage sensor is used to monitor the voltage data of the transmission line.

[0042] Furthermore, the environmental quantity sensing device includes: a temperature sensor, a humidity sensor, a wind speed sensor, an inclination sensor and a conductor vibration sensor; the temperature sensor is used to monitor the temperature data around the transmission line, the humidity sensor is used to monitor the humidity data around the transmission line, the wind speed sensor is used to monitor the wind speed data around the power channel line, the inclination sensor is used to monitor the inclination and structural stability of the tower, and the conductor vibration sensor is used to monitor the vibration of the conductor and detect vibration and swing caused by wind.

[0043] Furthermore, the loudspeaker control system includes a plurality of loudspeakers and control systems thereof.

[0044] The present invention provides a method for active fault prevention based on holographic monitoring of power transmission channels, which is mainly implemented by the above-mentioned active fault prevention system based on holographic monitoring of power transmission channels, and includes:

[0045] (1) Abnormal situation detection;

[0046] The video data collected by the video monitoring equipment, the electrical quantity data collected by the electrical quantity sensing equipment, and the environmental quantity data collected by the environmental quantity sensing equipment are all transmitted in real time to the intelligent analysis module in the central monitoring center through the data transmission device 1. The intelligent analysis module uses an artificial intelligence algorithm to perform real-time analysis on the video, electrical quantity and environmental quantity data, identify abnormal situations caused by external force damage and natural disasters, and transmit the identified abnormal situation data and the received video data, electrical quantity data and environmental quantity data to the decision-making brain, so that the decision-making brain can comprehensively analyze the video, electrical quantity and environmental quantity data and make active defense decisions;

[0047] (2) Active prediction and defense;

[0048] ① Power flow dispatching: When a natural disaster is detected, the system's decision-making brain will automatically analyze the potential impact of the abnormal situation on the transmission line and actively adjust the power flow of the power flow dispatching system to reduce or avoid the impact of the fault on the transmission line;

[0049] ② Loudspeaker warning: When external force sabotage is detected, the system's decision-making brain will control multiple loudspeakers along the transmission channel through data transmission device 2 to warn the saboteurs and prompt them to stop the sabotage.

[0050] ③ Early warning notification: When an abnormal situation is detected, the decision-making brain of the system will send an early warning notification to relevant maintenance personnel and management personnel through the early warning notification module, so that timely response measures can be taken;

[0051] ④Data recording and analysis: The decision-making brain of the system will record the data of abnormal situations, analyze the faults afterwards, and optimize the defense strategy.

[0052] The beneficial effects of the present invention are:

[0053] The present invention uses high-quality video monitoring, electrical quantity sensing and environmental quantity sensing technologies, combined with intelligent analysis and decision-making brains, to achieve full-line monitoring and comprehensive analysis of the transmission channel without blind spots. The present invention's comprehensive data analysis technology based on deep learning and artificial intelligence can efficiently and accurately identify abnormal situations, and actively predict and defend against various abnormal situations, providing an effective technical means to improve the safety and reliability of the transmission channel, and providing strong support for active disaster prevention and post-fault analysis.

[0054] The active fault prevention method and system based on holographic monitoring of power transmission channels of the present invention have high feasibility and practicality, and can significantly improve the fault prevention capability of power transmission channels. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Figure 1This is a structural composition architecture diagram of an active fault defense system based on holographic monitoring of power transmission channels of the present invention.

[0056] Figure 2 Schematic diagram of fault prediction, path selection and fault isolation in IEEE 30-bus power system. DETAILED DESCRIPTION

[0057] In a first aspect, the present invention provides an active fault protection system based on holographic monitoring of power transmission channels.

[0058] like Figure 1 As shown, the active fault prevention system based on holographic monitoring of power transmission channels of the present invention mainly includes the following modules:

[0059] Video surveillance equipment, electrical quantity sensing equipment, environmental quantity sensing equipment, active defense system, data transmission equipment 1, data transmission equipment 2 and central monitoring center. Among them, video surveillance equipment, electrical quantity sensing equipment, environmental quantity sensing equipment and active defense system are all deployed on the transmission line, and video surveillance equipment, electrical quantity sensing equipment and environmental quantity sensing equipment are all connected to the central monitoring center through data transmission equipment 1, the power flow dispatching system in the active defense system is directly connected to the central monitoring center, and the loudspeaker control system in the active defense system is connected to the central monitoring center through data transmission equipment 2.

[0060] Among them, video surveillance equipment is deployed along the transmission channel, which can ensure that the entire transmission channel is monitored without blind spots.

[0061] As a preferred implementation, the video monitoring device can be implemented using a high-resolution video camera.

[0062] In addition, the specific deployment of high-resolution video cameras is as follows: one is deployed every 3km in plain areas and one is deployed every 1km in areas with complex terrain.

[0063] Among them, electrical quantity sensing equipment is deployed along the transmission channel, mainly used to monitor various electrical parameters of the transmission line.

[0064] As a preferred implementation, the electrical quantity sensing device mainly includes: a current sensor and a voltage sensor, etc., but is not limited thereto. The current sensor is mainly used to monitor the current data of the transmission line, and the voltage sensor is mainly used to monitor the voltage data of the transmission line.

[0065] In addition, the specific deployment of current sensors is as follows: one is arranged every 20 km.

[0066] In addition, the specific deployment of voltage sensors is as follows: one is deployed every 20 km.

[0067] Among them, environmental quantity sensing equipment is deployed along the transmission channel, mainly used to monitor the environmental parameters around the transmission line.

[0068] As a preferred implementation, the environmental quantity sensing device mainly includes: temperature sensor, humidity sensor, wind speed sensor, tilt sensor and wire vibration sensor, etc., but not limited thereto. The temperature sensor is mainly used to monitor the temperature data around the transmission line, the humidity sensor is mainly used to monitor the humidity data around the transmission line, the wind speed sensor is mainly used to monitor the wind speed data around the power channel line, the tilt sensor is mainly used to monitor the inclination and structural stability of the tower, and the wire vibration sensor is mainly used to monitor the vibration of the wire and detect the vibration and swing caused by wind.

[0069] In addition, the specific deployment of temperature sensors is as follows: one is arranged every 20km to 10km in plain areas, and one is arranged every 3km to 1km in areas with complex terrain.

[0070] In addition, the specific deployment of humidity sensors is as follows: one is arranged every 20km to 10km in plain areas, and one is arranged every 3km to 1km in areas with complex terrain.

[0071] In addition, the specific deployment of wind speed sensors is as follows: one is arranged every 20km to 10km in plain areas, and one is arranged every 3km to 1km in areas with complex terrain.

[0072] In addition, the specific deployment of tilt sensors is as follows: one is arranged every 20km to 10km in plain areas, and one is arranged every 3km to 1km in areas with complex terrain.

[0073] In addition, the specific deployment of wire vibration sensors is as follows: one is arranged every 20km to 10km in plain areas, and one is arranged every 3km to 1km in areas with complex terrain.

[0074] Among them, the active defense system is mainly used to implement active defense strategies.

[0075] As a preferred implementation, the active defense system mainly includes: a power flow dispatching system and a loudspeaker control system, but is not limited thereto. The power flow dispatching system is directly connected to the central monitoring center, and the power flow dispatching system is mainly used to adjust the power flow; the loudspeaker control system is connected to the central monitoring center through the data transmission device 2, and the loudspeaker control system is mainly used to control multiple loudspeakers along the transmission channel through the data transmission device 2 to warn the saboteurs when external force sabotage is detected, prompting them to stop the sabotage.

[0076] As a more preferred implementation method, the power flow dispatching system can adopt an intelligent grid dispatching system to monitor the operation status of the power grid in real time, analyze the power flow, adjust the operation status of the power generation and transmission equipment through the optimization algorithm, and realize the optimal distribution of the power flow. In the event of a fault or abnormality, a dispatching plan is automatically generated and executed to ensure the stable operation of the power grid. Specifically, it can be implemented by using technologies such as SCADA (Supervisory Control and Data Acquisition) system, EMS (Energy Management System) and DMS (Distribution Management System).

[0077] As a more preferred implementation, the loudspeaker control system mainly includes multiple loudspeakers and their control systems, wherein the specific deployment of the multiple loudspeakers is as follows: the loudspeakers are mainly installed and deployed in densely populated areas, construction areas and key nodes (such as substations and important line intersections).

[0078] Among them, data transmission equipment 1 is mainly used to transmit the video data collected by the video surveillance equipment, the electrical quantity data collected by the electrical quantity sensing equipment, and the environmental quantity data collected by the environmental quantity sensing equipment to the central monitoring center in real time.

[0079] As a preferred implementation, the data transmission device may specifically be optical fiber communication equipment, wireless communication equipment (4G or 5G), satellite communication equipment, microwave communication equipment, power line carrier communication (PLC) equipment, etc. The selection may be made according to the environment where the equipment is installed.

[0080] Among them, data transmission equipment 2 is mainly used to realize data communication between the loudspeaker control system in the active defense system and the central monitoring center.

[0081] As a preferred implementation, the data transmission device 2 may specifically be optical fiber communication equipment, wireless communication equipment (4G or 5G), satellite communication equipment, microwave communication equipment, power line carrier communication (PLC) equipment, etc. The selection may be made according to the environment where the equipment is installed.

[0082] Among them, the central monitoring center deploys intelligent analysis modules, decision-making brains and early warning notification modules. The intelligent analysis module is mainly used to use artificial intelligence algorithms to conduct comprehensive analysis of video, electrical and environmental data to identify abnormal situations; the decision-making brain is mainly used to comprehensively analyze video, electrical and environmental data to make active defense decisions; the early warning notification module is mainly used when natural disasters are detected. The decision brain of the system will send early warning notifications to relevant maintenance personnel and managers through the early warning notification module to take timely response measures.

[0083] Specifically, the video surveillance equipment, electrical quantity sensing equipment and environmental quantity sensing equipment all communicate data with the intelligent analysis module deployed in the central monitoring center through the data transmission equipment 1. The video data collected by the video surveillance equipment, the electrical quantity data collected by the electrical quantity sensing equipment and the environmental quantity data collected by the environmental quantity sensing equipment are all transmitted to the intelligent analysis module in the central monitoring center in real time through the data transmission equipment 1, so that the intelligent analysis module can perform the next step of processing, and the processed data is transmitted to the decision-making brain; at the same time, the decision-making brain comprehensively analyzes the video, electrical quantity and environmental quantity data, makes active defense decisions, and sends control instructions to the power flow dispatching system and loudspeaker control system in the active defense system.

[0084] The present invention provides an active fault prevention system based on holographic monitoring of power transmission channels. It mainly uses video monitoring, combined with electrical quantity perception and environmental quantity perception, to achieve full coverage of the power transmission channel without blind spots, and conducts intelligent analysis and extraction based on monitoring data, to achieve active prediction and defense of various abnormal situations (including external force damage, natural disasters, etc.), providing strong support for active disaster prevention and post-fault analysis.

[0085] In a second aspect, the present invention provides a method for active fault prevention based on holographic monitoring of power transmission channels. The method is implemented by an active fault prevention system based on holographic monitoring of power transmission channels as described in the first aspect of the present invention.

[0086] The present invention provides an active fault prevention method based on holographic monitoring of power transmission channels, which mainly includes:

[0087] 1. Abnormal situation detection;

[0088] The video data collected by the video surveillance equipment, the electrical quantity data collected by the electrical quantity sensing equipment, and the environmental quantity data collected by the environmental quantity sensing equipment are all transmitted in real time to the intelligent analysis module in the central monitoring center through the data transmission device. The intelligent analysis module uses artificial intelligence algorithms to analyze the video, electrical quantity and environmental quantity data in real time, identify abnormal situations such as external force damage (such as man-made damage, mechanical construction, etc.) and natural disasters (such as lightning strikes, strong winds, etc.), and transmit the identified abnormal situation data and the received video data, electrical quantity data and environmental quantity data to the decision-making brain, so that the decision-making brain can comprehensively analyze the video, electrical quantity and environmental quantity data and make active defense decisions.

[0089] 2. Actively predict and defend;

[0090] (1) Power flow dispatch: When a natural disaster is detected, the system’s decision-making brain automatically analyzes the potential impact of the abnormal situation on the transmission line and proactively adjusts the power flow of the power flow dispatch system to reduce or avoid the impact of the fault on the transmission line.

[0091] For example, you can take the following approach:

[0092] 1) Path selection: When it is detected that the transmission line may be interrupted due to natural disasters or external forces, the system's decision-making brain can automatically select the best power transmission path based on real-time monitoring data and load forecast results, adjust the power flow, and avoid overload at the fault point.

[0093] 2) Dynamic adjustment: When the system identifies that the risk of a certain transmission line is increased, the system's decision-making brain will automatically adjust the power flow on the transmission line, reduce its load, and redistribute electricity to other safer transmission lines.

[0094] 3) Isolation strategy: When natural disasters (such as lightning strikes and storms) affect part of the transmission line area, the system can automatically isolate the affected area based on the prediction results to prevent the fault from spreading, while ensuring the power supply stability of non-affected areas.

[0095] 4) Automatic switching: The system can quickly switch to a backup power source or backup line near the fault point to ensure uninterrupted power supply and reduce the impact of the fault.

[0096] 5) Fault prediction: Figure 2 As shown, a fault point (dark mark) is marked at node 15.

[0097] 6) Path selection: Figure 2 As shown, when a fault occurs at node 15, the system selects a path (dashed line) passing through nodes 14 and 13 to bypass the fault point.

[0098] 7) Fault Isolation: Figure 2 It is not directly drawn in , but it can be assumed that the line near the fault point is isolated.

[0099] (2) Loudspeaker warning: When external force is detected, the decision-making brain of the system will control multiple loudspeakers along the power transmission channel through data transmission device 2 to warn the vandal to stop the destructive behavior.

[0100] (3) Early warning notification: When an abnormal situation is detected, the decision-making brain of the system will send an early warning notification to relevant maintenance personnel and managers through the early warning notification module, so that timely response measures can be taken. For example, maintenance personnel and managers can carry portable electronic devices for key monitoring and maintenance.

[0101] (4) Data recording and analysis: The decision-making brain of the system will record the data of abnormal situations, analyze the failures afterwards, and optimize the defense strategy.

[0102] The present invention adopts a complete holographic monitoring system. The current video monitoring, electrical quantity sensing and environmental quantity sensing technologies are relatively mature and can provide high-quality monitoring data.

[0103] The present invention utilizes intelligent analysis technology, and the comprehensive data analysis technology based on deep learning and artificial intelligence can efficiently and accurately identify abnormal situations.

[0104] The development process of external force destruction and natural disasters is usually not completed instantaneously. The present invention takes active defense measures to reduce the impact of disasters based on the process characteristics of disaster development.

[0105] The present invention provides an active fault prevention method based on holographic monitoring of power transmission channels. Through high-quality video monitoring, electrical quantity sensing and environmental quantity sensing technologies, combined with intelligent analysis and decision-making brain, it realizes full-line monitoring and comprehensive analysis of power transmission channels without blind spots, and actively predicts and prevents various abnormal situations, providing an effective technical means for improving the safety and reliability of power transmission channels.

[0106] The following will be combined with the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0107] Example 1: Power grid wind deviation fault

[0108] 1. Integrated sensing

[0109] Video surveillance equipment: High-definition cameras installed along the transmission lines to monitor the physical status of transmission towers and conductors in real time.

[0110] Wind speed sensors: Installed at multiple points along the transmission line to monitor changes in wind speed and direction.

[0111] Tilt sensor: installed on transmission line towers to monitor the inclination and structural stability of the towers.

[0112] Conductor vibration sensor: installed on the conductor to monitor the vibration of the conductor and detect vibration and swing caused by wind.

[0113] 2. Data Transmission

[0114] Data transmission equipment 1: transmits video surveillance data, wind speed data, inclination data and conductor vibration data to the central monitoring center in real time.

[0115] 3. Data Analysis

[0116] Real-time monitoring: The monitoring system of the central monitoring center displays video images and sensor data in real time.

[0117] Data Analysis: Using data analysis software and algorithms, wind speed, inclination and conductor vibration data are analyzed to identify abnormal patterns.

[0118] Model prediction: Based on historical data and real-time data, machine learning models are used to predict wind deviation risks and assess line safety.

[0119] 4. Decision-making process

[0120] Early warning system: When wind speed and conductor vibration exceed preset thresholds, the system automatically triggers an early warning and notifies maintenance personnel to conduct on-site inspections.

[0121] Automatic dispatching: Based on the wind deviation risk prediction results, the power flow dispatching system automatically adjusts the power flow to reduce the load on the affected lines and avoid line disconnection accidents caused by wind deviation.

[0122] Defensive measures: If a tower is detected to be tilted or structurally unstable, the system automatically directs the emergency team to carry out on-site reinforcement or repair to ensure line safety.

[0123] Example 2: Lightning Fault

[0124] 1. Integrated sensing

[0125] Video surveillance equipment: High-definition cameras installed along the transmission lines to monitor the lightning strike point and its surrounding environment in real time.

[0126] Electrical quantity sensing equipment: installed in substations and lines to monitor voltage, current and other electrical parameters and detect the impact of lightning strikes on the power system.

[0127] Environmental quantity sensing equipment: installed along the transmission lines to monitor temperature, humidity and other environmental parameters, and assist in analyzing the impact of lightning strikes.

[0128] 2. Data Transmission

[0129] Data transmission equipment 1: transmits video surveillance data, lightning monitoring data, electrical quantity data and environmental data to the central monitoring center in real time.

[0130] 3. Data Analysis

[0131] Lightning strike detection: The monitoring system at the central monitoring center displays lightning monitoring data in real time and identifies the time and location of lightning strikes.

[0132] Fault location: Combined with the data obtained by the electrical quantity sensing equipment, the fault point caused by lightning strike can be accurately located, and the fault type and severity can be analyzed.

[0133] Environmental impact analysis: The data obtained by environmental quantity sensing equipment is used to evaluate the impact of lightning strikes on the surrounding environment and provide a reference for subsequent processing.

[0134] 4. Decision-making process

[0135] Fault isolation: When a fault caused by a lightning strike is detected, the system automatically instructs the circuit breaker to cut off the affected line to prevent the fault from spreading.

[0136] Load transfer: The power flow dispatching system automatically adjusts the power flow and transfers the load to other lines to ensure stable power supply.

[0137] Emergency handling: The system notifies the emergency maintenance team to rush to the scene to repair the fault, and at the same time warns the surrounding people through the loudspeaker control system to ensure safety.

[0138] Power restoration: After the fault is repaired, the system reconfigures the power flow and gradually restores normal power supply to the affected area.

[0139] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein, but these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An active fault prevention system based on holographic monitoring of power transmission channels, characterized in that: include: Central monitoring center; Power flow dispatching system connected to the central monitoring center; The power flow dispatching system is used to adjust the power flow according to the control instructions of the central monitoring center; Video surveillance equipment, electrical quantity sensing equipment, environmental quantity sensing equipment and loudspeaker control system deployed on the transmission line; the video surveillance equipment, electrical quantity sensing equipment, environmental quantity sensing equipment and loudspeaker control system are all connected to the central monitoring center; the video surveillance equipment is used to collect video data and upload it to the central monitoring center, the electrical quantity sensing equipment is used to collect electrical quantity data and upload it to the central monitoring center, the environmental quantity sensing equipment is used to collect environmental quantity data and upload it to the central monitoring center, and the loudspeaker control system is used to issue warnings according to control instructions from the central monitoring center.

2. According to claim 1, a fault active defense system based on holographic monitoring of power transmission channels is characterized in that: The central monitoring center includes: an intelligent analysis module, a decision-making brain connected to the intelligent analysis module, and an early warning notification module connected to the decision-making brain; the intelligent analysis module is connected to the video monitoring equipment, the electrical quantity sensing equipment and the environmental quantity sensing equipment through the data transmission device 1, and the intelligent analysis module uses an artificial intelligence algorithm to comprehensively analyze the video, electrical quantity and environmental quantity data to identify abnormal situations; the decision-making brain is connected to the loudspeaker control system through the data transmission device 2, and the decision-making brain is connected to the power flow dispatching system. The decision-making brain comprehensively analyzes the video, electrical quantity and environmental quantity data, makes active defense decisions, and sends control instructions to the power flow dispatching system and loudspeaker control system in the active defense system.

3. The active fault prevention system based on holographic monitoring of power transmission channels according to claim 1 is characterized in that: The video monitoring device adopts a high-resolution video camera.

4. The active fault prevention system based on holographic monitoring of power transmission channels according to claim 1 is characterized in that: The electrical quantity sensing device comprises: a current sensor and a voltage sensor; the current sensor is used to monitor the current data of the transmission line, and the voltage sensor is used to monitor the voltage data of the transmission line.

5. The active fault prevention system based on holographic monitoring of power transmission channels according to claim 1 is characterized in that: The environmental quantity sensing device includes: a temperature sensor, a humidity sensor, a wind speed sensor, an inclination sensor and a conductor vibration sensor; the temperature sensor is used to monitor the temperature data around the transmission line, the humidity sensor is used to monitor the humidity data around the transmission line, the wind speed sensor is used to monitor the wind speed data around the power channel line, the inclination sensor is used to monitor the inclination and structural stability of the tower, and the conductor vibration sensor is used to monitor the vibration of the conductor and detect vibration and swing caused by wind.

6. The active fault prevention system based on holographic monitoring of power transmission channels according to claim 1 is characterized in that: The loudspeaker control system includes a plurality of loudspeakers and a control system thereof.

7. A method for active fault prevention based on holographic monitoring of power transmission channels implemented by a system for active fault prevention based on holographic monitoring of power transmission channels as described in any one of claims 1 to 6, characterized in that: include: (1) Abnormal situation detection; The video data collected by the video monitoring equipment, the electrical quantity data collected by the electrical quantity sensing equipment, and the environmental quantity data collected by the environmental quantity sensing equipment are all transmitted in real time to the intelligent analysis module in the central monitoring center through the data transmission device 1. The intelligent analysis module uses an artificial intelligence algorithm to perform real-time analysis on the video, electrical quantity and environmental quantity data, identify abnormal situations caused by external force damage and natural disasters, and transmit the identified abnormal situation data and the received video data, electrical quantity data and environmental quantity data to the decision-making brain, so that the decision-making brain can comprehensively analyze the video, electrical quantity and environmental quantity data and make active defense decisions; (2) Active prediction and defense; ① Power flow dispatching: When a natural disaster is detected, the system's decision-making brain will automatically analyze the potential impact of the abnormal situation on the transmission line and actively adjust the power flow of the power flow dispatching system to reduce or avoid the impact of the fault on the transmission line; ② Loudspeaker warning: When external force sabotage is detected, the system's decision-making brain will control multiple loudspeakers along the transmission channel through data transmission device 2 to warn the saboteurs, prompting them to stop the sabotage. ③ Early warning notification: When an abnormal situation is detected, the decision-making brain of the system will send an early warning notification to relevant maintenance personnel and management personnel through the early warning notification module, so that timely response measures can be taken; ④Data recording and analysis: The decision-making brain of the system will record the data of abnormal situations, analyze the faults afterwards, and optimize the defense strategy.

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