Low-altitude target detection identification and countering prevention and control system

Abstract

The invention relates to the technical field of low-altitude prevention and control, in particular to a low-altitude target detection identification and countering prevention and control system which comprises an operation and maintenance management platform, a multi-source data fusion unit, an intelligent noise reduction preprocessing unit, a general command platform, a dynamic threat evaluation unit and a cross-domain collaborative interface module. The detection and recognition precision and efficiency are improved through intelligent noise reduction and multi-source data fusion, intelligent collaborative countering is achieved through an intelligent decision center and a full-link countering unit, global situation awareness is enhanced through cross-domain data collaboration, operation and maintenance management and system stability are optimized by means of a prediction maintenance module and a modular architecture, and the detection and recognition efficiency is improved. The system can make up for the shortages of domestic existing systems, guarantees the airspace safety of key scenes, and reduces the long-term operation cost.

Description

Technical Field

[0001] This invention relates to the field of low-altitude air defense technology, and in particular to a low-altitude target detection, identification and countermeasure system. Background Technology

[0002] The low-altitude economy market is projected to exceed 1.5 trillion yuan by 2025, with the security sub-sector accounting for over 40%. The lack of intelligent low-altitude defense technology has become a key bottleneck restricting national security and industrial upgrading. Against this backdrop, developing multi-source collaborative detection and identification and multi-level countermeasure and control systems, breaking through key technologies such as BeiDou + 5G / ADS-B fusion positioning and microwave-optical collaborative imaging, and constructing a complete "detection-identification-decision-countermeasure" system have become urgent needs to fill domestic technological gaps, ensure security in critical scenarios, and promote the development of the security industry chain. Summary of the Invention

[0004] The purpose of this invention is to address the shortcomings of the prior art by proposing a low-altitude target detection, identification, and countermeasure control system.

[0005] To achieve the above objectives, the technical solution adopted by this invention is: a low-altitude target detection, identification, and countermeasure control system, comprising an operation and maintenance management platform, a multi-source data fusion unit, an intelligent noise reduction preprocessing unit, a central command platform, a dynamic threat assessment unit, and a cross-domain collaborative interface module, wherein:

[0006] The operation and maintenance management platform performs status monitoring, fault diagnosis, and log auditing of the system's hardware devices and software modules to ensure stable system operation.

[0007] The multi-source data fusion unit performs fusion processing on detection data of multiple types and sources;

[0008] The intelligent noise reduction preprocessing unit performs noise reduction processing on the raw data output by the detection, filtering out environmental interference and equipment noise information;

[0009] The central command platform integrates the detection data from distributed nodes to achieve comprehensive situational awareness and centralized management of a large area of ​​low-altitude regions.

[0010] The cross-domain collaboration interface module enables data collaboration with cross-domain systems such as public security and air traffic control.

[0011] The dynamic threat assessment unit is connected to an intelligent decision-making center, which is connected to a decision-making layer output interface.

[0012] Preferably, the operation and maintenance management platform includes a predictive maintenance module, which includes a health detection unit and a log analysis unit. The health detection unit monitors the status and diagnoses faults of the hardware devices and software modules of the operation and maintenance management platform, and the log analysis unit performs statistical analysis on the system operation logs.

[0013] Preferably, the detection data of the distributed nodes integrated by the command platform includes sensing node clusters, edge computing nodes, and regional center nodes.

[0014] Preferably, the multi-source data fusion unit includes a BeiDou-3 satellite-based augmentation module, a sensing integration module, a dual-band phased array radar module, an infrared-visible light fusion imaging module, and a dual-mode receiving module. The BeiDou-3 satellite-based augmentation module improves the positioning accuracy of low-altitude targets.

[0015] The integrated sensing module integrates communication and sensing functions, enhancing the ability to acquire low-altitude target information;

[0016] The dual-band phased array radar module expands the detection range and identification capability of different low-altitude targets through dual-band detection.

[0017] The infrared and visible light fusion imaging module combines infrared and visible light imaging to perform multi-dimensional imaging and recognition of low-altitude targets under complex conditions.

[0018] The dual-mode receiver module is compatible with multiple signal reception modes, improving the ability to capture and analyze low-altitude target signals.

[0019] Preferably, the intelligent noise reduction preprocessing unit includes an electromagnetic environment sensing submodule, which senses the electromagnetic interference environment in the low-altitude region, provides electromagnetic environment background information for multi-source data fusion and target detection, and improves the system's anti-interference capability and target recognition accuracy.

[0020] Preferably, the intelligent noise reduction preprocessing unit is connected to a detection layer output module, the detection layer output module is connected to a lightweight attention module, the lightweight attention module includes an AI optimization module, and the lightweight attention module is connected to a dynamic threat assessment module, wherein:

[0021] Detection layer output module: Outputs detection data after multi-source data fusion and preliminary processing;

[0022] AI optimization module: Using AI algorithms and attention mechanisms, it intelligently analyzes the noise-reduced data and quickly extracts key features of low-altitude targets;

[0023] Dynamic Threat Assessment Module: Based on the analysis results of the lightweight attention module, this module performs dynamic threat level assessments on low-altitude targets, providing a threat basis for decision-making.

[0024] Preferably, the intelligent decision-making center includes a multi-target conflict scheduling unit, which coordinates and schedules task priorities and resource allocation conflicts when there are multiple detection targets or countermeasures in the low-altitude region.

[0025] Preferably, the decision-making layer output interface is connected to an early warning response unit, an intelligent interference unit, and an adaptive interception unit. The intelligent interference unit includes an interference effect feedback module and a multi-band interference module. The adaptive interception unit has functions including adaptive adjustment of laser power, dynamic correction of net capture emission angle, and interception effect evaluation submodule.

[0026] Preferably, the data that the cross-domain collaborative interface module collaborates on includes public security Skynet video data, airspace data from air traffic control departments, and electronic fence data for key areas.

[0027] Compared with the prior art, the present invention has the following beneficial effects:

[0028] 1. This invention improves both detection accuracy and efficiency. Through the electromagnetic environment perception submodule of the intelligent noise reduction preprocessing unit, environmental interference and equipment noise can be accurately filtered. Combined with the Beidou-3 satellite-based augmentation module, dual-band phased array radar module and infrared-visible light fusion imaging module in the multi-source data fusion unit, and further optimized and analyzed by the AI ​​of the lightweight attention module, key features of the target can be quickly extracted. This effectively solves the problem of target misidentification under low signal-to-noise ratio, significantly improves the target recognition accuracy and data processing efficiency in complex electromagnetic and urban obstruction scenarios, and makes up for the shortcomings of short detection distance and low recognition accuracy of existing domestic systems.

[0029] 2. This invention features intelligent and collaborative countermeasure response. The multi-target conflict scheduling unit of the intelligent decision-making center can efficiently coordinate the priority and resource allocation of multi-target tasks. Combined with the early warning response unit, intelligent interference unit, and adaptive interception unit connected to the decision-making layer output interface, it constructs a full-link intelligent countermeasure system of "early warning-interference-interception". It dynamically adjusts the countermeasure strategy for targets with different distances and threat levels, which not only improves the interception success rate, but also avoids the waste of countermeasure resources. It builds a 30-square-kilometer protection circle for key scenarios such as nuclear power plants, airports, and major events, effectively ensuring the airspace security of critical infrastructure and major events.

[0030] 3. This invention enables cross-domain data collaboration and global situational awareness. The cross-domain collaboration interface module can integrate public security Skynet video data, airspace data from air traffic control departments, and electronic fence data from key areas. Combined with the overall command platform's ability to integrate sensing node clusters, edge computing nodes, and regional center node detection data, it achieves cross-domain and multi-node information exchange and sharing, thereby enhancing the overall prevention and emergency response capabilities against low-altitude safety threats.

[0031] 4. This invention optimizes operation and maintenance management and system stability, reducing long-term operating costs. The predictive maintenance module of the operation and maintenance management platform can monitor the status of hardware devices and software modules in real time, diagnose faults in advance, and analyze operation logs to achieve predictive maintenance of the system and reduce downtime caused by sudden failures. At the same time, the modular architecture design of the system facilitates equipment replacement and function upgrades, reducing later maintenance and iteration costs. Attached Figure Description

[0032] Figure 1 This is a schematic diagram of a low-altitude target detection, identification, and countermeasure control system according to the present invention.

[0033] Figure 2 This is a schematic diagram of the multi-source data fusion unit of a low-altitude target detection, identification, and countermeasure control system according to the present invention.

[0034] Figure 3 This is a schematic diagram of the main command platform of a low-altitude target detection, identification, and countermeasure control system according to the present invention.

[0035] Figure 4 This is a schematic diagram of the cross-domain collaborative interface module of a low-altitude target detection, identification, and countermeasure control system according to the present invention.

[0036] Figure 5 This is a schematic diagram of the decision-level output interface of a low-altitude target detection, identification, and countermeasure control system according to the present invention. Detailed Implementation

[0037] The following description is intended to disclose the invention and enable those skilled in the art to implement it. The preferred embodiments described below are merely examples, and other obvious variations will occur to those skilled in the art.

[0038] like Figures 1-5 The low-altitude target detection, identification, and countermeasure system shown includes an operation and maintenance management platform, a multi-source data fusion unit, an intelligent noise reduction preprocessing unit, a central command platform, a dynamic threat assessment unit, and a cross-domain collaborative interface module, wherein:

[0039] The operation and maintenance management platform monitors the status of the system's hardware devices and software modules, diagnoses faults, and audits logs to ensure stable system operation.

[0040] The multi-source data fusion unit performs fusion processing on detection data of multiple types and sources;

[0041] The intelligent noise reduction preprocessing unit performs noise reduction processing on the raw data output by the detection, filtering out environmental interference and equipment noise information;

[0042] The central command platform integrates the detection data from distributed nodes to achieve comprehensive situational awareness and centralized management of a large area of ​​low-altitude regions.

[0043] The cross-domain collaboration interface module enables data collaboration with cross-domain systems such as public security and air traffic control.

[0044] The dynamic threat assessment unit is connected to the intelligent decision-making center, which in turn is connected to the decision-making layer output interface.

[0045] The operation and maintenance management platform includes a predictive maintenance module, which comprises a health monitoring unit and a log analysis unit. The health monitoring unit monitors the status and diagnoses faults of the hardware and software modules of the operation and maintenance management platform, while the log analysis unit performs statistical analysis on the system's operational logs. This low-altitude target detection, identification, and countermeasure control system, through multi-module collaboration, achieves both improved detection and identification accuracy and efficiency, intelligent collaborative countermeasure response, cross-domain data interoperability, and comprehensive situational awareness. It also optimizes operation and maintenance management to ensure system stability and reduce operating costs, thus strengthening the defense for low-altitude safety in key scenarios.

[0046] The detection data from distributed nodes integrated by the central command platform includes sensing node clusters, edge computing nodes, and regional center nodes.

[0047] The multi-source data fusion unit includes a BeiDou-3 satellite-based augmentation module, a sensing-integrated module, a dual-band phased array radar module, an infrared-visible light fusion imaging module, and a dual-mode receiving module. The BeiDou-3 satellite-based augmentation module improves the positioning accuracy of low-altitude targets; the sensing-integrated module integrates communication and sensing functions, enhancing the ability to acquire low-altitude target information; the dual-band phased array radar module expands the detection range and identification capability for different low-altitude targets through dual-band detection; the infrared-visible light fusion imaging module combines infrared and visible light imaging to perform multi-dimensional imaging and identification of low-altitude targets under complex conditions; and the dual-mode receiving module is compatible with multiple signal reception modes, improving the ability to acquire and analyze low-altitude target signals. Specifically, the BeiDou-3 satellite-based augmentation module improves positioning accuracy, the sensing-integrated module integrates communication and sensing to enhance information acquisition, the dual-band phased array radar module expands the detection range and identification capability, the infrared-visible light fusion imaging module performs multi-dimensional imaging and identification under complex conditions, and the dual-mode receiving module is compatible with multiple signal modes to improve signal acquisition and analysis capabilities.

[0048] The multi-source data fusion unit can be implemented using the following example algorithm: a weighted multimodal fusion algorithm based on an attention mechanism. Let the output data features of the five modules in the multi-source data fusion unit be... These correspond to data from the BeiDou-3 satellite-based augmentation module, the integrated sensing module, the dual-band phased array radar module, the infrared-visible light fusion imaging module, and the dual-mode receiving module, respectively. The attention weight for each module's data is... (The weights are dynamically generated through the attention calculation layer, ranging from [0,1], and satisfy the following conditions:) The characteristics of the fused data are: The core fusion formula is: .

[0049] Dynamic weight allocation is achieved through a two-layer neural network:

[0050] First layer (feature mapping layer): This layer maps the features of the original data from each module. Mapped to feature vectors of uniform dimension ,in Mapping weight matrix For bias terms, The activation function ensures that the features are expressed non-linearly.

[0051] The second layer (attention calculation layer): calculates the attention score for each feature vector. ,in Here is the attention weight matrix. For bias terms, The function normalizes the scores into attention weights. This allows data that contributes significantly to the fusion results (such as infrared and visible light imaging data in complex environments and satellite-based data with high-precision positioning) to receive higher weights.

[0052] The following is a simplified process for connecting the algorithm with data from each module:

[0053] S1. Data Input Stage: Each module outputs raw data according to a preset format. Specifically, the BeiDou-3 satellite-based augmentation module outputs target latitude, longitude, and altitude positioning data; the integrated sensing module outputs data on the correlation between communication signal strength and target position; the dual-band phased array radar module outputs target distance and velocity detection data; the infrared-visible light fusion imaging module outputs target pixel features and contour data; and the dual-mode receiving module outputs captured target signal waveform data.

[0054] S2, Feature Unification Stage: The algorithm transforms the heterogeneous data (numerical, image, and signal types) from the five modules into a 128-dimensional unified feature vector through a feature mapping layer. This solves the problem of inconsistent dimensions in multi-source data.

[0055] S3, Attention Weighting Stage: The attention calculation layer dynamically generates weights based on the real-time scene, such as the data weights from the infrared-visible light fusion imaging module under complex weather conditions (e.g., fog, haze, nighttime). The weight of the BeiDou-3 satellite-based augmentation module has been increased to 0.3-0.4. Maintain a weight of 0.2-0.25; in open environments, the weight of the dual-band phased array radar module. Increased to 0.3, and the weights of other modules were adjusted according to their contribution.

[0056] S4. Fusion Output Stage: The fusion features are calculated using the core fusion formula. The data is then output to subsequent intelligent noise reduction and target recognition modules, providing high-precision comprehensive data support for low-altitude target positioning, recognition, and signal analysis.

[0057] The intelligent noise reduction preprocessing unit includes an electromagnetic environment sensing submodule. This submodule senses the electromagnetic interference environment in low-altitude areas, providing background information for multi-source data fusion and target detection, thereby improving the system's anti-interference capability and target recognition accuracy. It can sense low-altitude electromagnetic interference environments, providing background information for multi-source data fusion and target detection, thus enhancing the system's anti-interference capability and target recognition accuracy.

[0058] The intelligent noise reduction preprocessing unit is connected to a detection layer output module, which in turn is connected to a lightweight attention module. The lightweight attention module includes an AI optimization module and is connected to a dynamic threat assessment module. Specifically: the detection layer output module outputs detection data after multi-source data fusion and preliminary processing; the AI ​​optimization module uses AI algorithms and attention mechanisms to intelligently analyze the noise-reduced data and quickly extract key features of low-altitude targets; and the dynamic threat assessment module, based on the analysis results of the lightweight attention module, assesses the dynamic threat level of low-altitude targets, providing a basis for decision-making. The intelligent noise reduction preprocessing unit, connected to the detection layer output module, outputs detection data after multi-source data fusion and preliminary processing. It then intelligently analyzes the noise-reduced data using AI algorithms and attention mechanisms. The lightweight attention module is connected to the dynamic threat assessment module, which assesses the dynamic threat level of low-altitude targets based on its analysis results, providing a basis for decision-making.

[0059] The intelligent decision-making center includes a multi-target conflict scheduling unit. When multiple detection targets or countermeasures missions exist in the low-altitude region, this unit coordinates and schedules conflicting tasks regarding task priorities and resource allocation. It can coordinate and schedule task priorities and resource allocation conflicts when multiple detection targets or countermeasures missions exist in the low-altitude region.

[0060] The decision-making layer output interface connects to an early warning response unit, an intelligent jamming unit, and an adaptive interception unit. The intelligent jamming unit includes a jamming effect feedback module and a multi-band jamming module. The adaptive interception unit's functions include adaptive laser power adjustment, dynamic correction of the net capture angle, and an interception effect evaluation submodule. The decision-making layer output interface can connect to the early warning response unit and interface with the intelligent jamming unit, which includes jamming effect feedback and multi-band jamming functions. It can also be associated with the adaptive interception unit, which has laser power adjustment, net capture angle correction, and interception effect evaluation functions, to achieve multiple types of defense response functions.

[0061] The cross-domain collaboration interface module coordinates data including public security Skynet video data, airspace data from air traffic control departments, and electronic fence data from key areas.

[0062] This system improves both detection accuracy and efficiency. Through the electromagnetic environment perception submodule of the intelligent noise reduction preprocessing unit, it can accurately filter environmental interference and equipment noise. Combined with the Beidou-3 satellite-based augmentation module, dual-band phased array radar module, and infrared-visible light fusion imaging module in the multi-source data fusion unit, and further optimized and analyzed by the AI ​​of the lightweight attention module, it can quickly extract key features of the target, effectively solve the problem of target misidentification under low signal-to-noise ratio, significantly improve the target recognition accuracy and data processing efficiency in complex electromagnetic and urban obstruction scenarios, and make up for the shortcomings of short detection range and low recognition accuracy of existing domestic systems.

[0063] The intelligent and collaborative countermeasure response system, with its multi-target conflict scheduling unit in the intelligent decision-making center, can efficiently coordinate the priority and resource allocation of multiple target tasks. Combined with the early warning response unit, intelligent interference unit, and adaptive interception unit connected to the decision-level output interface, it constructs a full-link intelligent countermeasure system of "early warning-interference-interception". It dynamically adjusts the countermeasure strategy for targets of different distances and threat levels, which not only improves the interception success rate, but also avoids the waste of countermeasure resources. It builds a 30-square-kilometer protection circle for key scenarios such as nuclear power plants, airports, and major events, effectively ensuring the airspace security of critical infrastructure and major events.

[0064] Cross-domain data collaboration and overall situational awareness: The cross-domain collaboration interface module can integrate public security Skynet video data, airspace data from air traffic control departments, and electronic fence data from key areas. Combined with the overall command platform's ability to integrate detection data from sensing node clusters, edge computing nodes, and regional center nodes, it can achieve cross-domain and multi-node information exchange and sharing, and improve the overall prevention and emergency response capabilities against low-altitude safety threats.

[0065] Operation and maintenance management and system stability optimization reduce long-term operating costs. The predictive maintenance module of the operation and maintenance management platform can monitor the status of hardware devices and software modules in real time, diagnose faults in advance, and analyze operation logs to achieve predictive maintenance of the system and reduce downtime caused by sudden failures. At the same time, the modular architecture design of the system facilitates equipment replacement and function upgrades, reducing the cost of later maintenance and iteration.

[0066] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the claimed invention. The scope of protection claimed by the appended claims and their equivalents is defined.

Claims

1. A low-altitude target detection, identification, and countermeasure system, characterized in that: The system comprises an operation and maintenance management platform, a multi-source data fusion unit, an intelligent noise reduction preprocessing unit, a general command platform, a dynamic threat assessment unit and a cross-domain collaborative interface module, wherein: The operation and maintenance management platform performs state monitoring, fault diagnosis and log auditing on hardware devices and software modules of the system, and guarantees stable operation of the system. The multi-source data fusion unit performs fusion processing on detection data of multiple types and multiple sources. The intelligent noise reduction preprocessing unit performs noise reduction processing on original data output by detection, and filters environmental interference and device noise information. The general command platform integrates detection data of distributed nodes, and realizes global situation awareness and centralized management of a large range of low-altitude areas. The cross-domain collaborative interface module realizes data collaboration with public security and air traffic control cross-domain systems. The dynamic threat assessment unit is connected with an intelligent decision-making hub, and the intelligent decision-making hub is connected with a decision-making layer output interface.

2. The low-altitude target detection, identification, countermeasure, and prevention system of claim 1, wherein: The operation and maintenance management platform comprises a predictive maintenance module, the predictive maintenance module comprises a health detection unit and a log analysis unit, the health detection unit performs state monitoring and fault diagnosis on hardware devices and software modules of the operation and maintenance management platform, and the log analysis unit performs statistical analysis on system operation logs.

3. The low-altitude target detection, identification, countermeasure and prevention system according to claim 1, characterized in that: The detection data of the distributed nodes integrated by the general command platform comprise a perception node cluster, an edge computing node and a regional center node.

4. The low-altitude target detection, identification, countermeasure and prevention system according to claim 1, characterized in that: The multi-source data fusion unit comprises a Beidou-3 satellite-based enhancement module, a communication and sensing integrated module, a dual-band phased array radar module, an infrared and visible light fusion imaging module and a dual-mode receiving module, the Beidou-3 satellite-based enhancement module improves low-altitude target positioning accuracy; The communication and sensing integrated module realizes fusion of communication and sensing functions, and enhances low-altitude target information acquisition capability; The dual-band phased array radar module expands the detection range and recognition capability for different low-altitude targets through dual-band detection; The infrared and visible light fusion imaging module combines infrared and visible light imaging, and realizes multi-dimensional imaging recognition of low-altitude targets under complex conditions; The dual-mode receiving module is compatible with multiple signal receiving modes, and improves the capture and analysis capability for low-altitude target signals.

5. The low-altitude target detection, identification, countermeasure and prevention system according to claim 1, characterized in that: The intelligent noise reduction preprocessing unit comprises an electromagnetic environment perception sub-module, the electromagnetic environment perception sub-module perceives electromagnetic interference environment of a low-altitude area, provides electromagnetic environment background information for multi-source data fusion and target detection, and improves system anti-interference capability and target recognition accuracy.

6. The low-altitude target detection, identification, countermeasure, and prevention system of claim 1, wherein: The intelligent noise reduction preprocessing unit is connected with a detection layer output module, the detection layer output module is connected with a lightweight attention module, the lightweight attention module comprises an AI optimization module, and the lightweight attention module is connected with a dynamic threat assessment module, wherein: The detection layer output module outputs detection data after multi-source data fusion and preliminary processing; The AI optimization module performs intelligent analysis on the noise-reduced data by means of AI algorithms and attention mechanisms, and quickly extracts key features of low-altitude targets; The dynamic threat assessment module performs dynamic threat level assessment on low-altitude targets based on analysis results of the lightweight attention module, and provides threat basis for decision-making.

7. The low-altitude target detection, identification, countermeasure and prevention system according to claim 1, characterized in that: The intelligent decision-making center includes a multi-target conflict scheduling unit, which coordinates and schedules task priorities and resource allocation conflicts when there are multiple detection targets or countermeasures in the low-altitude region.

8. The low-altitude target detection, identification, and countermeasure prevention system of claim 1, wherein: The decision-making layer output interface is connected to an early warning response unit, an intelligent interference unit, and an adaptive interception unit. The intelligent interference unit includes an interference effect feedback module and a multi-band interference module. The adaptive interception unit has functions including adaptive adjustment of laser power, dynamic correction of net capture emission angle, and interception effect evaluation submodule.

9. The low-altitude target detection, identification, and countermeasure prevention system of claim 1, wherein: The cross-domain collaborative interface module coordinates data including public security Skynet video data, airspace data from air traffic control departments, and electronic fence data from key areas.

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