Perimeter or area security and protection method based on multi-point unmanned aerial vehicle

Abstract

The invention relates to the field of area protection, and discloses a perimeter or area security and protection method based on a multi-point unmanned aerial vehicle. Comprising the steps that a command center only needs to issue tasks to an intelligent processing system, and the intelligent processing system performs task planning and coordinates unmanned aerial vehicles at all point locations to execute; the unmanned aerial vehicle can send real-time data to the aircraft station and can receive a control instruction sent by the aircraft station, and the aircraft station can push data sent back by the unmanned aerial vehicle to the intelligent processing system; the station needs to be reasonably equipped with unmanned aerial vehicle charging piles according to the number of unmanned aerial vehicles on the perimeter, and can send the state information of the charging piles to the intelligent processing system. The method depends on high maneuverability of the unmanned aerial vehicle and high perceptibility of the unmanned aerial vehicle to ground things, combines the endurance and communication range of the unmanned aerial vehicle to deploy the unmanned aerial vehicle at a suitable point location of the perimeter, carries out unified command and dispatch on the unmanned aerial vehicle at each point location by using an intelligent processing system, and summarizes real-time data downloaded by the unmanned aerial vehicle to a monitoring terminal.

Description

Technical Field

[0001] The present invention relates to the field of regional protection, and specifically discloses a perimeter or regional security method based on multi-point unmanned aerial vehicles. Background Art

[0002] When building a protection system in large areas with complex terrain such as pastures, mining areas, forest areas, and islands, the following problems exist:

[0003] 1. The human and material resources invested in protection are large;

[0004] 2. There are situations where it is impossible to deploy protective facilities and equipment under natural barriers due to geographical factors;

[0005] 3. There is no ability to warn of impending dangerous events and no ability to handle emergencies;

[0006] 4. In areas with undulating terrain, conventional prevention and control measures such as surveillance cameras have many blind spots and weak perception capabilities. Summary of the invention

[0007] In response to the above problems, the present invention relies on the high maneuverability of drones and their high perception of ground objects, combines the drone's endurance and communication range to deploy drones at appropriate points on the perimeter, uses an intelligent processing system to uniformly command and dispatch drones at each point, and aggregates the real-time data transmitted by the drones to the monitoring terminal. Supervisors only need to send tasks to the intelligent processing system on the monitoring terminal, and the intelligent processing system will carry out specific task planning.

[0008] The technical solution adopted by the present invention is:

[0009] A perimeter or regional security method based on multi-point drones is implemented based on a command center, an intelligent processing system, drones and a station, and includes the following processes:

[0010] (1) Installation and deployment. The specific process is as follows:

[0011] According to the security perimeter or area range, combined with the drone's endurance and communication distance, multiple stations are deployed on the perimeter as drone communication and endurance points;

[0012] Install monitoring terminals in the command center and deploy intelligent processing systems on the servers; connect each station to the server physically through network cables, and form a local area network with monitoring terminals, intelligent processing systems and each station;

[0013] The data of each drone is recorded at the station, so that each station can discover, identify and communicate with all drones;

[0014] (2) Operation. The specific process is as follows:

[0015] After the command center issues a mission, the intelligent processing center conducts mission planning and route planning based on the current status of the drones at each station to perform mission simulation; if it is found that the mission cannot be completed during the mission simulation, an evaluation report is generated and sent to the command center to inform the reason for the failure; if the mission is found feasible during the mission simulation, a drone takes off from each station and flies counterclockwise to the next adjacent station. When a drone lands at each station, it indicates that a perimeter patrol mission has been completed; when performing regional reconnaissance missions, the intelligent processing system matches one or more stations closest to the center of the mission area according to the size of the mission area, plans the drones of the matching stations to perform the reconnaissance mission, and sends flight routes and control instructions to the drones through the stations; when the command center receives early warning or alarm information, the command center sends control instructions to the drones through the intelligent processing system and stations;

[0016] When the drone performs a mission, it flies according to the prescribed route and forwards real-time status information, video data and telemetry information to the station. The station reports the information sent by the drone and its own status information to the intelligent processing center. When the drone enters the coverage of the next station's communication signal, the station sends the data of the approaching drone to the intelligent processing center. The intelligent processing center sends a link establishment command to the drone through the previous communication station. The drone can then establish a communication link with the landing point station and disconnect the link with the previous station.

[0017] The intelligent processing system uses the DeepSORT algorithm to detect moving targets in the video and estimate the speed and direction of the moving targets through the real-time video data and telemetry information of the drone. When an unknown target is detected, the tracking command is sent to the drone through the base station, and the drone's load is adjusted to zoom in on the target in the video and take a photo and upload it to the command center. In addition, based on the target's speed and direction, the system calculates whether the target's current motion state will trigger an intrusion perimeter warning. When the distance between the target and the perimeter is less than the set safety distance, it is determined as an intrusion perimeter warning event and the event is reported to the command center.

[0018] (3) Operation and maintenance management: the specific process is as follows:

[0019] The intelligent processing center generates equipment status supervision information by summarizing the drone status information and the station status information, and determines whether there is a current risk of failure for the drone and the station. The intelligent processing center displays the equipment status supervision information in the form of a statistical chart, and reminds all equipment to perform regular maintenance at fixed intervals.

[0020] The advantages of the present invention compared with the prior art are:

[0021] The aerial reconnaissance vision of the drone in the present invention has a higher perception effect than that of traditional monitoring equipment, and there will be no blind spots in monitoring due to the obstruction of vision caused by terrain. In this method, drones at various locations can realize automated execution of tasks under the unified command and dispatch of the intelligent processing system. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 It is a diagram of the functional modules included in the command center in the embodiment of the present invention.

[0023] Figure 2 It is a functional module diagram included in the intelligent processing system in the embodiment of the present invention.

[0024] Figure 3 1 is a diagram of the functional modules included in the drone in the embodiment of the present invention.

[0025] Figure 4 It is a functional module diagram of a station in an embodiment of the present invention.

[0026] Figure 5 It is a schematic diagram of the operation flow in an embodiment of the present invention. DETAILED DESCRIPTION

[0027] The following is combined with Figure 1-5 The present invention is further described.

[0028] The method of the present invention is implemented based on four parts: a command center, an intelligent processing system, a drone and a station.

[0029] The command center has access to all the real-time images, images and other data of the on-duty drones, and can view the status and location information of the drones at each point. On a daily basis, it only needs to send tasks to the intelligent processing system, which will plan the tasks and coordinate the drones at each point to execute them. The functional modules of the command center are as follows Figure 1 shown.

[0030] The intelligent processing system can intelligently process the real-time pictures and images taken by the drone, such as moving target detection and recognition, distance measurement, vegetation change detection, fire detection, etc., monitor the status of the drone, and can automatically plan tasks based on the tasks sent by the command center and the drone status, and send instructions to the drone to perform tasks. The intelligent processing system aggregates the status information reported by the drone with the station status information, and generates equipment status supervision information, which enables the command center operators to easily view and maintain all equipment. The functional module diagram of the intelligent processing system is shown in the attached figure. Figure 2 shown.

[0031] The drone can send real-time data to the station and receive control commands from the station. In addition, the drone needs to periodically push its own identification. Figure 3 shown.

[0032] The station can push the data sent back by the drone to the intelligent processing system, and can forward the control instructions sent back by the intelligent processing system to the drone. The station needs to reasonably equip the drone charging piles according to the number of drones on the perimeter, and can send the charging pile status information to the intelligent processing system. More importantly, the station needs to periodically receive the drone identification information within the communication range, and be ready to communicate with the drone and send control instructions to the drone at any time. The station module is as follows Figure 4 shown.

[0033] A perimeter or area security method based on multi-point drones, specifically including the following processes:

[0034] (1) Installation and deployment. The specific process is as follows:

[0035] According to the security perimeter or area range, combined with the drone's endurance and communication distance, multiple stations are deployed on the perimeter as drone communication and endurance points.

[0036] Install monitoring terminals in the command center and deploy intelligent processing systems on servers; physically connect each station to the server through network cables, and form a local area network with monitoring terminals, intelligent processing systems and each station.

[0037] The data of each drone is entered into the station so that each station can discover, identify and communicate with all drones.

[0038] (2) Operation. The specific process is as follows:

[0039] After the command center issues a mission, the intelligent processing center conducts mission planning and route planning based on the current status of the drones at each station to perform mission simulation; if it is found that the mission cannot be completed during the mission simulation, an evaluation report is generated and sent to the command center to inform the reason for the failure; if the mission is found feasible during the mission simulation, a drone takes off from each station and flies counterclockwise to the next adjacent station. When a drone lands at each station, it indicates that a perimeter patrol mission has been completed; when performing regional reconnaissance missions, the intelligent processing system matches one or more stations closest to the center of the mission area according to the size of the mission area, plans the drones at the matching stations to perform the reconnaissance mission, and sends flight routes and control instructions to the drones through the stations; when the command center receives early warning or alarm information, the command center sends control instructions to the drones through the intelligent processing system and stations.

[0040] When a drone performs a mission, it flies according to the prescribed route and forwards real-time status information, video data and telemetry information to the station. The station reports the information sent by the drone and its own status information to the intelligent processing center. When the drone enters the communication signal coverage of the next station, the station sends the data of the approaching drone to the intelligent processing center. The intelligent processing center sends a link establishment command to the drone through the previous communication station. The drone can then establish a communication link with the landing point station and disconnect the link with the previous station. In this mode, the intelligent processing center can better monitor the location, operating status, operating trajectory and docking position of each drone.

[0041] The intelligent processing system uses the DeepSimple Online and Realtime Tracking (DSORT) algorithm through the real-time video data and telemetry information of the drone to detect moving targets in the video and estimate the speed and direction of the moving targets. When an unknown target is detected, the tracking command is sent to the drone through the base station, and the drone's payload (visible light camera or infrared camera) is adjusted to zoom in on the target in the video and take a photo and upload it to the command center. In addition, based on the target's speed and direction, the system calculates whether the target's current motion state will trigger an intrusion perimeter warning. When the distance between the target and the perimeter is less than the set safety distance, it is determined as an intrusion perimeter warning event and the event is reported to the command center.

[0042] (3) Operation and maintenance management: the specific process is as follows:

[0043] The intelligent processing center can determine whether there is a current risk of failure between the drone and the station by summarizing the drone status information and the station status information. For example, the drone's attitude, altitude, speed, pod mounting status, and endurance can be used to determine whether the drone's propellers, pods, batteries, and other common wear parts need to be replaced in a timely manner. The station communication status and the drone's charging status at the station can be used to determine whether there is a hardware failure at the station. The intelligent processing center will generate statistical charts of daily equipment operation data for the command center operators to view. In addition, the intelligent processing center will remind the command center operators to perform regular maintenance on all equipment at fixed intervals.

Claims

1. A perimeter or regional security method based on multi-point drones, implemented based on a command center, an intelligent processing system, drones and a station, characterized in that: The process includes: (1) Installation and deployment. The specific process is as follows: According to the security perimeter or area range, combined with the drone's endurance and communication distance, multiple stations are deployed on the perimeter as drone communication and endurance points; Install monitoring terminals in the command center and deploy intelligent processing systems on servers; Each station is physically connected to the server through a network cable, and the monitoring terminal, intelligent processing system and each station form a local area network; The data of each drone is recorded at the station, so that each station can discover, identify and communicate with all drones; (2) Operation. The specific process is as follows: After the command center issues a mission, the intelligent processing center conducts mission planning and route planning based on the current status of the drones at each station to perform mission simulation; if it is found that the mission cannot be completed during the mission simulation, an evaluation report is generated and sent to the command center to inform the reason for the failure; if the mission is found feasible during the mission simulation, a drone takes off from each station and flies counterclockwise to the next adjacent station. When a drone lands at each station, it indicates that a perimeter patrol mission has been completed; when performing regional reconnaissance missions, the intelligent processing system matches one or more stations closest to the center of the mission area according to the size of the mission area, plans the drones of the matching stations to perform the reconnaissance mission, and sends flight routes and control instructions to the drones through the stations; when the command center receives early warning or alarm information, the command center sends control instructions to the drones through the intelligent processing system and stations; When the drone performs a mission, it flies according to the prescribed route and forwards real-time status information, video data and telemetry information to the station. The station reports the information sent by the drone and its own status information to the intelligent processing center. When the drone enters the coverage of the next station's communication signal, the station sends the data of the approaching drone to the intelligent processing center. The intelligent processing center sends a link establishment command to the drone through the previous communication station. The drone can then establish a communication link with the landing point station and disconnect the link with the previous station. The intelligent processing system uses the DeepSORT algorithm to detect moving targets in the video and estimate the speed and direction of the moving targets through the real-time video data and telemetry information of the drone. When an unknown target is detected, the tracking command is sent to the drone through the base station, and the drone's load is adjusted to zoom in on the target in the video and take a photo and upload it to the command center. In addition, based on the target's speed and direction, the system calculates whether the target's current motion state will trigger an intrusion perimeter warning. When the distance between the target and the perimeter is less than the set safety distance, it is determined as an intrusion perimeter warning event and the event is reported to the command center. (3) Operation and maintenance management: the specific process is as follows: The intelligent processing center generates equipment status supervision information by summarizing the drone status information and the station status information, and determines whether there is a current risk of failure for the drone and the station. The intelligent processing center displays the equipment status supervision information in the form of a statistical chart, and reminds all equipment to perform regular maintenance at fixed intervals.

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