CN-122027650-A - Star-ground cooperative border prevention and control monitoring analysis system and method
Abstract
The embodiment of the invention discloses a star-ground cooperative border prevention and control monitoring analysis system, which relates to the technical field of intelligent border prevention and safety monitoring, wherein the system comprises a multi-source sensing subsystem, a data transmission and storage subsystem, a data fusion and intelligent analysis subsystem, a hierarchical early warning and response subsystem and a border prevention management decision support subsystem, the multi-source sensing subsystem comprises a satellite remote sensing module, an unmanned aerial vehicle patrol module, a ground monitoring module and an anti-non-system module, the data fusion and intelligent analysis subsystem comprises a data fusion module and an intelligent analysis module, and the hierarchical early warning and response subsystem comprises an early warning rule module and an emergency cooperation module. According to the invention, by constructing a multisource sensing, data fusion, hierarchical early warning and decision support system, the dynamic monitoring, intelligent analysis and quick response of the border universe are realized, the problems of insufficient sensing, low efficiency of collaboration, decision hysteresis and the like of the traditional border prevention are solved, and the informatization and intelligent level of border safety management and control is improved.
Inventors
- REN XIRAN
- LI LINGYA
- LUO MAN
- YE YIXUAN
- SHU TIANYU
- YAN WENKAI
- YU PENG
- CHEN DANDAN
- LIU WENJIE
- FENG JIANYUAN
- WANG SHIHUA
Assignees
- 亚太卫星宽带通信(深圳)有限公司
Dates
- Publication Date
- 20260512
- Application Date
- 20260205
Claims (10)
- 1. The star-ground collaborative border prevention and control monitoring analysis system is characterized by comprising a multi-source sensing subsystem, a data transmission and storage subsystem, a data fusion and intelligent analysis subsystem, a hierarchical early warning and response subsystem and a border prevention management decision support subsystem, wherein the multi-source sensing subsystem comprises a satellite remote sensing module, an unmanned aerial vehicle patrol module, a ground monitoring module and a non-system-reflection module, the data fusion and intelligent analysis subsystem comprises a data fusion module and an intelligent analysis module, and the hierarchical early warning and response subsystem comprises an early warning rule module and an emergency collaboration module.
- 2. The star-ground collaborative border prevention and control monitoring analysis system according to claim 1, wherein the satellite remote sensing module is used for periodically collecting full coverage images of border areas by using high-resolution remote sensing satellites and identifying dynamic information by an AI change detection technology, wherein the dynamic information comprises landform transition, facility construction and personnel activities.
- 3. The star-ground collaborative border prevention and control monitoring analysis system according to claim 1, wherein the unmanned aerial vehicle patrol module is used for deploying a long-endurance unmanned aerial vehicle, performing border area maneuver patrol tasks and carrying out positioning and track tracking on a target through an aerial monitoring device, wherein the aerial monitoring device comprises a high-definition camera and a thermal imager, and the target comprises personnel and vehicles.
- 4. The star-ground cooperative border prevention and control monitoring analysis system according to claim 1, wherein the ground monitoring module is used for deploying ground monitoring equipment in a border critical area, the ground monitoring equipment is used for monitoring and detecting physical signals of the border area in real time for 24 hours, the ground monitoring equipment comprises a high-definition camera, a radar and a satellite smart rod, and monitoring objects of the ground monitoring equipment comprise moving objects, smart terminals, moving personnel and active equipment.
- 5. The star-ground collaborative border prevention and control monitoring analysis system according to the invention is characterized in that the anti-unmanned system module is used for detecting and intercepting an illegal unmanned plane in real time through deployment of unmanned plane monitoring and countering equipment, guaranteeing safe operation and task execution stability of inspection equipment, the data transmission and storage subsystem is used for transmitting data acquired by the multi-source sensing subsystem to a cloud platform in real time through a communication technology for centralized storage and processing, and the communication technology comprises satellite communication and a ground network.
- 6. The star-ground collaborative border prevention and control monitoring analysis system according to claim 1, wherein the data fusion module is used for merging data sets from different sensing devices into a unified data set and processing heterogeneous interfaces and data format problems, and the intelligent analysis module is used for deep mining of the data fused by the data fusion module by using an AI recognition algorithm and a big data analysis model to recognize abnormal conditions and potential threats.
- 7. The star-ground collaborative border prevention and control monitoring analysis system according to claim 1 is characterized in that the early warning rule module is used for setting a hierarchical early warning mechanism according to threat levels to trigger response measures of different levels, wherein the response measures comprise local audible and visual alarms, patrol team checking and countercheck equipment interception, the emergency collaborative module is used for carrying out rapid emergency response through air-ground collaboration, and the air-ground collaboration comprises unmanned aerial vehicle tracking and ground scheduling.
- 8. The star-ground collaborative border prevention monitoring analysis system according to claim 1, wherein the border prevention management decision support subsystem is configured to generate optimization suggestions and formulate border prevention policies by integrating full-process data, using an AI decision model, the full-process data including monitoring data, early warning data, and disposal data, the optimization suggestions including prevention adjustment, and resource scheduling.
- 9. The star-ground collaborative border prevention monitoring analysis system according to claim 1, further comprising a border checkpoint extension subsystem, wherein the border checkpoint extension subsystem comprises a border intelligent facility module and an intelligent border inspection service module, the border intelligent facility module comprises an intelligent gate for customs clearance and personnel identity verification and an intelligent road facility for optimizing vehicle traffic order, and the intelligent border inspection service module is used for realizing intelligent border inspection and portable entry and exit inspection.
- 10. A star-to-ground cooperative border control monitoring analysis method, characterized in that the method is applied to the star-to-ground cooperative border control monitoring analysis system according to any one of claims 1 to 9, and the method comprises: The border dynamic information is acquired by the multisource perception subsystem, the dynamic information is identified by the satellite remote sensing module, the unmanned aerial vehicle patrol module is used for patrol and tracking, monitoring signals of movable objects and equipment through a ground monitoring module, detecting and intercepting illegal equipment in real time through an anti-system-free module, and transmitting data through a data transmission and storage subsystem; integrating the multi-source data through a data fusion and intelligent analysis subsystem, standardizing the multi-source data through a data fusion module, and mining potential threats and generating a structural analysis report through an intelligent analysis module by using an AI (advanced technology) recognition algorithm and a big data model, wherein the potential threats comprise landform abnormality, illegal aggregation and illegal traffic; Triggering differential measures according to the analysis report through a grading early warning and response subsystem, setting a response mechanism through an early warning rule module, realizing rapid treatment through air-ground linkage through an emergency coordination module, locking a target through an unmanned aerial vehicle and returning an image, scheduling resources to implement interception through a ground command center, and recording response data; integrating full-flow data through a border protection management decision support subsystem, generating optimization suggestions by using an AI model, adjusting satellite inspection period, unmanned aerial vehicle route and ground equipment distribution density according to the analysis report, deploying intelligent facilities through a border inspection station expansion subsystem, periodically evaluating operation effects and continuously iterating algorithm and equipment configuration.
Description
Star-ground cooperative border prevention and control monitoring analysis system and method Technical Field The invention relates to the technical field of intelligent frontier defense and safety monitoring, in particular to a star-ground cooperative frontier defense and control monitoring analysis system and method. Background With the increasing complexity of border safety situations, traditional border protection modes have gradually exposed multi-dimensional short panels in long-term practice. The traditional border defense mainly relies on manpower patrol and fixed stuck point prevention and control, and can rely on deep understanding of first-line personnel on local environment and social conditions, and forms a basic prevention and control network by combining unique advantages of strong force and resultant force in multiple aspects and border fixation prevention, but has insufficient sensing, response, cooperation and information mining capability when coping with complex terrains, technical violation means and global prevention and control requirements. The method comprises the steps of setting up fixed equipment sparsely, enabling a single view angle to result in incomplete coverage and target recognition hysteresis, enabling an abnormal response link to be lengthy, enabling information transmission to be easy to distort, lacking space cooperation and intelligent scheduling, enabling the system to be built sporadically, enabling the equipment to operate independently, enabling information to be not shared interactively, enabling information to be difficult to link transversely, enabling a border defense business customization AI algorithm model to be lacking, enabling mass data to be stored only afterwards, enabling data values to be not effectively mined, and enabling multi-source data to be not subjected to fusion analysis. Therefore, industry needs a border prevention and control monitoring analysis system and method for integrating space-sky-earth multidimensional sensing data and realizing global coverage, real-time early warning, intelligent cooperation and star-earth cooperation of data depth mining. Disclosure of Invention The embodiment of the invention provides a star-ground cooperative border prevention and control monitoring analysis system and a star-ground cooperative border prevention and control monitoring analysis method, which are used for solving the problems that the prior art is insufficient in perceived coverage, low in response efficiency, poor in system cooperation and insufficient in information mining, depends on manual and fixed equipment, and is difficult to cope with complex topography and technical violations. The technical scheme is as follows: According to one aspect of the invention, the system comprises a multi-source sensing subsystem, a data transmission and storage subsystem, a data fusion and intelligent analysis subsystem, a hierarchical early warning and response subsystem and a border defense management decision support subsystem, wherein the multi-source sensing subsystem comprises a satellite remote sensing module, an unmanned aerial vehicle patrol module, a ground monitoring module and an anti-system-free module, the data fusion and intelligent analysis subsystem comprises a data fusion module and an intelligent analysis module, and the hierarchical early warning and response subsystem comprises an early warning rule module and an emergency cooperation module. In one embodiment, the satellite remote sensing module is used for periodically performing full coverage image acquisition on the border area by using a high-resolution remote sensing satellite, and identifying dynamic information by using an AI change detection technology, wherein the dynamic information comprises landform transition, facility construction and personnel activities. In one embodiment, the unmanned aerial vehicle patrol module is used for deploying a long-endurance unmanned aerial vehicle, executing a border area maneuver patrol task, and carrying out positioning and track tracking on a target through carrying an aerial monitoring device, wherein the aerial monitoring device comprises a high-definition camera and a thermal imager, and the target comprises personnel and vehicles. In one embodiment, the ground monitoring module is used for deploying ground monitoring equipment in a border critical area, the border area is monitored in real time and physical signals are detected through the ground monitoring equipment for 24 hours, the ground monitoring equipment comprises a high-definition camera, a radar and a satellite intelligent rod, and a monitoring object of the ground monitoring equipment comprises a movable object, an intelligent terminal, movable personnel and active equipment. In one embodiment, the anti-unmanned aerial vehicle monitoring and countering device is used for detecting and intercepting an illegal unmanned aerial vehicle in real time through deployment of the unm