Low-altitude short-range sealing control protection system and method thereof

Abstract

The invention provides a low-altitude short-range sealing control protection system which comprises a sensor layer, a data processing layer and an execution layer. The input end of the data processing layer is wirelessly connected to the output end of the sensor layer, and the input end of the execution layer is wirelessly connected to the output end of the data processing layer; the sensor layer comprises a millimeter wave radar, a phased array radar, a high-definition visible light camera, a thermal infrared imager and an acoustic sensor, and is used for deploying an identification area, a warning area, an interception area and a damage area. According to the low-altitude short-range sealing control protection system provided by the invention, multiple sensors are fused to make up for the defect of a single sensor, for example, a radar and a thermal infrared imager cooperatively improve the detection accuracy in rainy and foggy weather; the target track is dynamically displayed through partition layout and multi-body linkage, and the intention judgment time is shortened; the response time is shortened through full-process automation, and the threat interception success rate is increased through multi-method disposal.

Description

Technical Field

[0001] The present invention relates to the field of low-altitude short-range sealing and protection, and in particular to a low-altitude short-range sealing and protection system and method thereof. Background Art

[0002] Low-altitude, short-range containment and protection technology is mainly used for monitoring, identifying, warning and handling low-altitude flying targets over government agencies, military bases, airports and other areas to prevent intrusion and security threats.

[0003] Existing technologies include radar detection technology and acoustic-photoelectric detection technology:

[0004] Radar detection technology can detect over a wide range, but is susceptible to interference from ground clutter in low-altitude environments and has poor detection effects on small targets.

[0005] Acoustic, photoelectric and other detection technologies have high recognition accuracy, but due to the influence of rain, fog, night and other environments, the detection distance and accuracy are significantly reduced.

[0006] Insufficient existing technology:

[0007] Limitations of a single sensor: high false alarm rate of radar and poor environmental adaptability of optoelectronic equipment;

[0008] Information isolation: Radar and optoelectronic equipment operate independently, preventing data integration and making it difficult to fully grasp the situation;

[0009] Low response efficiency: The handling process lacks automated coordination, resulting in slow response to intrusion targets.

[0010] Therefore, it is necessary to provide a low-altitude short-range sealing and protection system to solve the above technical problems. Summary of the Invention

[0011] The present invention provides a low-altitude short-range containment and protection system, which solves the problems of low detection accuracy, poor environmental adaptability, information islands and low disposal efficiency in the prior art.

[0012] In order to solve the above technical problems, the present invention provides a low-altitude short-range sealing and protection system, comprising:

[0013] sensor layer, data processing layer, and execution layer;

[0014] The input end of the data processing layer is wirelessly connected to the output end of the sensor layer, and the input end of the execution layer is wirelessly connected to the output end of the data processing layer;

[0015] The sensor layer includes millimeter-wave radar, phased array radar, high-definition visible light camera, infrared thermal imager and acoustic sensor, which are used to deploy identification zone, warning zone, interception zone and destruction zone;

[0016] The data processing layer includes data acquisition module, data fusion module, target recognition module and early warning decision module;

[0017] The execution layer includes interference, interception, expulsion, attack and destruction equipment.

[0018] Preferably, the millimeter wave radar and the phased array radar in the sensor layer are used for long-distance detection and positioning of low-altitude targets, the high-definition visible light camera and the infrared thermal imager are used to obtain target image information, and the acoustic sensor is used to assist in determining the target position.

[0019] Preferably, the data fusion module is used to perform spatiotemporal registration and fusion processing on multi-source data, the target recognition module identifies the target type based on a deep learning algorithm, and the early warning decision module determines the threat level according to preset rules.

[0020] Preferably, the execution layer equipment includes electronic jamming guns, navigation deception devices, strong electromagnetic weapons, capture net guns, multi-barrel grenade launchers and unmanned patrol vehicles, which are used to warn, interfere, decoy, intercept, drive away or attack invading targets.

[0021] Preferably, the sensor layer is arranged by area, and the identification area, warning area, interception area, and damage area correspond to different detection distances and handling priorities, forming a multi-mode early warning and control system.

[0022] A low-altitude short-range sealing and protection method, such as the low-altitude short-range sealing and protection system, comprises the following steps:

[0023] S1. Deploy sensors according to the identification zone, warning zone, interception zone, and damage zone, collect target data, and transmit it to the data acquisition module via wired / wireless means;

[0024] S2, the data acquisition module converts the data format and pre-processes it, and then sends it to the data fusion module;

[0025] S3, the data fusion module performs spatiotemporal registration and fusion calculation on multi-source data to obtain target state information;

[0026] S4, the target recognition module extracts and classifies the fused data based on the deep learning model to identify the target type;

[0027] S5. The early warning decision module generates early warning instructions according to the threat level and controls the execution layer equipment to implement the disposal.

[0028] Preferably, the data fusion in S3 includes the following steps:

[0029] S31, performing denoising and filtering preprocessing on sensor data;

[0030] S32, unifying multi-source data into the same time coordinate system and space coordinate system;

[0031] S33. Use filtering algorithm to predict and update target position and speed, and integrate and judge target attribute characteristics.

[0032] Preferably, the filtering algorithm in S33 includes Kalman filtering, which is used for predicting and updating target state information and adopts DS evidence theory to fuse target attribute information.

[0033] Preferably, the target identification in S4 includes the following steps:

[0034] S41, performing grayscale, enhancement, and normalization preprocessing on visible light and infrared images;

[0035] S42, using convolutional neural network to extract target shape, texture and color features;

[0036] S43. Input the features into the trained classification model to identify the target as a drone, a bird, or a light aircraft.

[0037] Preferably, the execution layer processing in S5 includes: according to the early warning instruction, using an electronic jammer to interfere with the target communication link, or implementing deception through a navigation deception device, or using strong electromagnetic weapons to destroy electronic components, or linking a multi-barrel grenade launcher with an unmanned patrol car to attack.

[0038] Compared with related technologies, the low-altitude short-range sealing and protection system provided by the present invention has the following beneficial effects:

[0039] The present invention provides a low-altitude short-range containment protection system. Multi-sensor fusion makes up for the shortcomings of a single sensor. For example, radar and infrared thermal imager work together to improve detection accuracy in rainy and foggy weather.

[0040] Zoning layout and multi-body linkage enable dynamic display of target trajectory, shortening the time for intention determination;

[0041] Full-process automation shortens response time, and multi-method handling improves the success rate of threat interception. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 The present invention provides a schematic structural diagram of a preferred embodiment of a low-altitude short-range containment protection system. DETAILED DESCRIPTION

[0043] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0044] Please refer to Figure 1 ,in, Figure 1A schematic diagram of a preferred embodiment of a low-altitude short-range sealing and protection system provided by the present invention. A low-altitude short-range sealing and protection system includes:

[0045] sensor layer, data processing layer, and execution layer;

[0046] The input end of the data processing layer is wirelessly connected to the output end of the sensor layer, and the input end of the execution layer is wirelessly connected to the output end of the data processing layer;

[0047] The sensor layer includes millimeter-wave radar, phased array radar, high-definition visible light camera, infrared thermal imager and acoustic sensor, which are used to deploy identification zone, warning zone, interception zone and destruction zone;

[0048] The data processing layer includes data acquisition module, data fusion module, target recognition module and early warning decision module;

[0049] The execution layer includes interference, interception, expulsion, attack and destruction equipment.

[0050] The millimeter-wave radar and the phased array radar in the sensor layer are used for long-distance detection and positioning of low-altitude targets, the high-definition visible light camera and the infrared thermal imager are used to obtain target image information, and the acoustic sensor is used to assist in determining the target position.

[0051] The data fusion module is used to perform spatiotemporal registration and fusion processing on multi-source data, the target recognition module identifies the target type based on a deep learning algorithm, and the early warning decision module determines the threat level according to preset rules.

[0052] The execution layer equipment includes electronic jamming guns, navigation deception devices, strong electromagnetic weapons, capture net guns, multi-barrel grenade launchers and unmanned patrol vehicles, which are used to warn, interfere, deceive, intercept, drive away or attack invading targets.

[0053] The sensor layer is arranged by area, and the identification area, warning area, interception area, and damage area correspond to different detection distances and handling priorities, forming a multi-mode early warning and control system.

[0054] A low-altitude short-range sealing and protection method, such as the low-altitude short-range sealing and protection system, comprises the following steps:

[0055] S1. Deploy sensors according to the identification zone, warning zone, interception zone, and damage zone, collect target data, and transmit it to the data acquisition module via wired / wireless means;

[0056] S2, the data acquisition module converts the data format and pre-processes it, and then sends it to the data fusion module;

[0057] S3, the data fusion module performs spatiotemporal registration and fusion calculation on multi-source data to obtain target state information;

[0058] S4, the target recognition module extracts and classifies the fused data based on the deep learning model to identify the target type;

[0059] S5. The early warning decision module generates early warning instructions according to the threat level and controls the execution layer equipment to implement the disposal.

[0060] The data fusion in S3 includes the following steps:

[0061] S31, performing denoising and filtering preprocessing on sensor data;

[0062] S32, unifying multi-source data into the same time coordinate system and space coordinate system;

[0063] S33. Use filtering algorithm to predict and update target position and speed, and integrate and judge target attribute characteristics.

[0064] The filtering algorithm in S33 includes Kalman filtering, which is used to predict and update target state information and fuse target attribute information using DS evidence theory.

[0065] The target recognition in S4 includes the following steps:

[0066] S41, performing grayscale, enhancement, and normalization preprocessing on visible light and infrared images;

[0067] S42, using convolutional neural network to extract target shape, texture and color features;

[0068] S43. Input the features into the trained classification model to identify the target as a drone, a bird, or a light aircraft.

[0069] The execution layer processing in S5 includes: according to the early warning instructions, using electronic jammers to interfere with the target communication link, or using navigation decoy devices to carry out deception, or using strong electromagnetic weapons to destroy electronic components, or linking multiple grenade launchers with unmanned patrol vehicles to carry out attacks.

[0070] System deployment: An electronic perimeter fence is set up at the boundary of a certain campaign warehouse, fixed warning radars are installed at commanding heights, distributed low-altitude detection radars are deployed in key areas, and acoustic sensors and photoelectric detectors are configured around important facilities to form a three-dimensional detection network.

[0071] Working principle: Sensor data is transmitted to the data processing layer, and after fusion, the target (such as drone) is identified through the deep learning model. The early warning decision module determines the threat level, and the execution layer activates the electronic jammer or navigation decoy device to deal with it.

[0072] Beneficial effects: Multi-sensor collaboration improves target detection accuracy and reduces false alarm rate.

[0073] Add a linkage mechanism between drones and unmanned patrol vehicles.

[0074] Working principle: When a high-risk threat occurs, the drone quickly arrives at the scene to track and strike, and the unmanned patrol vehicle conducts ground interception and simultaneously transmits the location information to the command center.

[0075] Beneficial effects: Response time is shortened and the success rate of intercepting high-speed targets is improved.

[0076] A special-shaped bullet-proof layer is added to the outside of the protective door, and a strong electromagnetic weapon is integrated.

[0077] Working principle: The special-shaped bullet-shielding layer deflects and reduces the damage to missiles and rockets, and the strong electromagnetic weapons destroy the electronic components of the invading equipment.

[0078] Beneficial effect: The combination of hard kill and soft kill improves the damage resistance of important targets.

[0079] Data fusion and intelligent decision-making process

[0080] Multi-source data spatiotemporal registration:

[0081] Time synchronization: Using GPS and Beidou dual-mode clocks, nanosecond-level synchronization is achieved through the IEEE1588 protocol;

[0082] Spatial transformation: Establish a Cartesian coordinate system with the command center as the origin, and transform the radar polar coordinates and camera pixel coordinates into a unified space through a homogeneous transformation matrix.

[0083] Kalman filter fusion example: For drone targets, the millimeter-wave radar provides distance measurements. After iterative calculations using the Kalman filter, the target position error converges to ±50 cm.

[0084] Threat determination rule base:

[0085] Establish a three-level threat model:

[0086] Level III (Warning): Birds and civilian drones stray into the area;

[0087] Level II (interception): Suspicious drone;

[0088] Level I (strike): High-speed targets or targets carrying suspicious payloads (abnormal heat sources determined by infrared thermal imagers).

[0089] Object recognition network architecture

[0090] Feature extraction network:

[0091] The improved YOLOv8 model is used to input images, the backbone network is replaced with a C2f structure, and a cross-scale feature fusion module is added to improve the detection accuracy of small targets.

[0092] Training dataset:

[0093] Collect visible and infrared images from drones, birds, and light aircraft in different weather conditions and from different angles, using Mosaic data augmentation technology to expand the effective sample size;

[0094] Loss function:

[0095] By combining bounding box regression, solving category imbalance, and semantic segmentation, the mAP@0.5 of drone detection is improved.

[0096] Compared with related technologies, the low-altitude short-range sealing and protection system provided by the present invention has the following beneficial effects:

[0097] The present invention provides a low-altitude short-range containment protection system. Multi-sensor fusion makes up for the shortcomings of a single sensor. For example, radar and infrared thermal imager work together to improve detection accuracy in rainy and foggy weather.

[0098] Zoning layout and multi-body linkage enable dynamic display of target trajectory, shortening the time for intention determination;

[0099] Full-process automation shortens response time, and multi-method handling improves the success rate of threat interception.

[0100] The above descriptions are merely embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention description and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A low-altitude short-range sealing and protection system, characterized in that: include: sensor layer, data processing layer, and execution layer; The input end of the data processing layer is wirelessly connected to the output end of the sensor layer, and the input end of the execution layer is wirelessly connected to the output end of the data processing layer; The sensor layer includes millimeter-wave radar, phased array radar, high-definition visible light camera, infrared thermal imager and acoustic sensor, which are used to deploy identification zone, warning zone, interception zone and destruction zone; The data processing layer includes data acquisition module, data fusion module, target recognition module and early warning decision module; The execution layer includes interference, interception, expulsion, attack and destruction equipment.

2. The low-altitude short-range sealing and protection system according to claim 1 is characterized in that: The millimeter-wave radar and the phased array radar in the sensor layer are used for long-distance detection and positioning of low-altitude targets, the high-definition visible light camera and the infrared thermal imager are used to obtain target image information, and the acoustic sensor is used to assist in determining the target position.

3. The low-altitude short-range sealing and protection system according to claim 1 is characterized in that: The data fusion module is used to perform spatiotemporal registration and fusion processing on multi-source data, the target recognition module identifies the target type based on a deep learning algorithm, and the early warning decision module determines the threat level according to preset rules.

4. The low-altitude short-range sealing and protection system according to claim 1 is characterized in that: The execution layer equipment includes electronic jamming guns, navigation deception devices, strong electromagnetic weapons, capture net guns, multi-barrel grenade launchers and unmanned patrol vehicles, which are used to warn, interfere, deceive, intercept, drive away or attack invading targets.

5. The low-altitude short-range sealing and protection system according to claim 1 is characterized in that: The sensor layer is arranged by area, and the identification area, warning area, interception area, and damage area correspond to different detection distances and handling priorities, forming a multi-mode early warning and control system.

6. A low-altitude short-range sealing and protection method, a low-altitude short-range sealing and protection system according to any one of claims 1 to 5, characterized in that: The following steps are involved: S1. Deploy sensors according to the identification zone, warning zone, interception zone, and damage zone, collect target data, and transmit it to the data acquisition module via wired / wireless means; S2, the data acquisition module converts the data format and pre-processes it, and then sends it to the data fusion module; S3, the data fusion module performs spatiotemporal registration and fusion calculation on multi-source data to obtain target state information; S4, the target recognition module extracts and classifies the fused data based on the deep learning model to identify the target type; S5. The early warning decision module generates early warning instructions according to the threat level and controls the execution layer equipment to implement the disposal.

7. The low-altitude short-range sealing and protection method according to claim 6 is characterized in that: The data fusion in S3 includes the following steps: S31, performing denoising and filtering preprocessing on sensor data; S32, unifying multi-source data into the same time coordinate system and space coordinate system; S33. Use filtering algorithm to predict and update target position and speed, and integrate and judge target attribute characteristics.

8. The low-altitude short-range sealing and protection method according to claim 7 is characterized in that: The filtering algorithm in S33 includes Kalman filtering, which is used to predict and update target state information and fuse target attribute information using DS evidence theory.

9. The low-altitude short-range sealing and protection method according to claim 6, characterized in that: The target recognition in S4 includes the following steps: S41, performing grayscale, enhancement, and normalization preprocessing on visible light and infrared images; S42, using convolutional neural network to extract target shape, texture and color features; S43. Input the features into the trained classification model to identify the target as a drone, a bird, or a light aircraft.

10. The low-altitude short-range sealing and protection method according to claim 6, characterized in that: The execution layer processing in S5 includes: according to the early warning instructions, using electronic jammers to interfere with the target communication link, or using navigation decoy devices to carry out deception, or using strong electromagnetic weapons to destroy electronic components, or linking multiple grenade launchers with unmanned patrol vehicles to carry out attacks.

Images