CN-121995952-A - Load collaborative intelligent management and control system and method for aviation search and rescue system

CN121995952ACN 121995952 ACN121995952 ACN 121995952ACN-121995952-A

Abstract

The invention relates to a load collaborative intelligent management and control system and method of an aviation search and rescue system, which belong to the technical field of aviation detection and comprise search loads, interface equipment and display control equipment, wherein the search loads are used for acquiring target information of a search area and providing real-time position and posture information, the interface equipment is used for matching data of each search load with a control interface to realize receiving, converting and sending of the data, and the display control equipment is used for receiving the search data of each search load and generating target identification information to realize real-time management and control of each load and issuing control commands according to the search and rescue task process. When the search and rescue task is executed, the working modes of each search load can be intelligently controlled according to the established intelligent decision model library in an automatic/manual control mode, the target information is obtained, the cross control of different search loads is realized according to the target information, and the cooperative intelligent management and control of each load during search and rescue in a general scene is realized.

Inventors

TANG HONGBIAO
ZHU JINBIAO
LIU YUQUAN
HAN DONGHAI
Yan Zhanxiao

Assignees

中国科学院空天信息创新研究院

Dates

Publication Date: 20260508
Application Date: 20260106

Claims (10)

1. The load collaborative intelligent management and control system of the aviation search and rescue system is characterized by comprising a search load, interface equipment and display control equipment, wherein, The searching load comprises a radar, an optoelectronic turret, an automatic ship identification system AIS and inertial navigation equipment, and is used for acquiring target information of a searching area and providing real-time position and posture information; the interface device comprises a comprehensive interface processor and a switch, and is used for matching the data of each search load with a control interface to realize the receiving, conversion and sending of the data; The display control device comprises a task processing computer, is used for receiving search data of each search load and generating target identification information, realizes real-time control of each load, and issues control commands according to the search and rescue task process.
2. The cooperative intelligent control system for load of aviation search and rescue system according to claim 1, wherein the radar is used for acquiring synthetic aperture radar/inverse synthetic aperture radar image, wide area monitoring/moving target indication information of a search area when a search and rescue task is performed, the photoelectric turret is used for acquiring visible light, infrared image or video information of the search area when the search and rescue task is performed, the automatic ship identification system AIS is used for acquiring ship identification information of the search area when the search and rescue task is performed, and the inertial navigation device is used for providing real-time position and attitude information for each search load.
3. The system of claim 1, wherein one end of the integrated interface processor is connected with the radar, the optoelectronic turret, the AIS and the inertial navigation device, and the other end is connected with the switch, and is used for matching data and control interfaces of each search load, receiving data and load state information of each search load, converting the data and load state information into a network protocol format, transmitting the network protocol format to the switch, receiving a load control command transmitted by the switch, converting the load control command into a corresponding load control interface protocol format, and transmitting the corresponding load control interface protocol format to the corresponding search load.
4. The load collaborative intelligent control system of the aviation search and rescue system according to claim 1, wherein, The task processing computer comprises a plurality of decision model sets for realizing the decisions of load collaborative intelligent management and control, wherein the decision model sets comprise a main control program control class decision model set, a target area planning class decision model set, a flight route class decision model set, a radar control class decision model set, a photoelectric turret control class decision model set, an airplane guiding indication class decision model set, a data processing control class decision model set, a target collection and distribution class model set, a target identification class decision model set, an automatic/manual control switching control class decision model set and a fault monitoring early warning class decision model set.
5. The collaborative intelligent control system for aviation search and rescue system load according to claim 4, wherein the main control program controls the class decision model set as a general decision model, and invokes specific models in the rest decision model sets according to the event-triggered logic; The fault monitoring early warning decision model set is called in the whole course, and is used for monitoring the fault state of each search load in real time and generating a corresponding decision result; The target area planning type decision model set is used for decision generation of target area planning under the calling of the main control program control type decision model set, automatically generating a task searching operation area according to task requirements, and adjusting the searching operation area in real time according to the task requirements; The flight route decision model set is used for generating and updating real-time decisions of the aircraft flight route under the calling of the main control program control class decision model set, and provides route guiding instructions for searching operation; The radar control class decision model set is used for decision control of the radar under the calling of the main control program control class decision model set, so that specific operation of the radar is realized; The photoelectric turret control class decision model set is used for decision control of the photoelectric turret and state information decision capability after each control decision instruction is issued under the calling of the main control program control class decision model set, so that the control operation of the photoelectric turret is realized; the aircraft guiding indication class decision model set is used for providing guiding indication for the flight platform under the call of the main control program control class decision model set; the data processing control class decision model set is used for controlling the output of the data processing fusion recognition result under the calling of the main control program control class decision model set; the target collection and distribution class model set is used for controlling target collection and distribution decisions under the call of the main control program control class decision model set; the target recognition class decision model set is used for target recognition decision and outputting recognition results under the calling of the main control program control class decision model set; The automatic/manual control switching control type decision model set is used for realizing intelligent autonomous control and switching of people in a loop through automatic/manual switching decision control under the calling of the main control program control type decision model set.
6. The collaborative intelligent control system for loads of an aviation search and rescue system according to claim 5, wherein the target area planning class decision model set comprises 4 area planning decision models including an offshore low-speed/static target, a high-speed target, an area target and an island reef target; The flight route decision model set comprises 8 route decision models including an outgoing route, an incoming route, an emergency incoming route, an offshore target search area route, an offshore single target identification route, an offshore single target tracking route, an island target imaging area route and a recovery search route; The radar control type decision model set comprises 8 decision models including a startup self-check, a remote WAS mode parameter setting, a specific target WAS mode parameter setting, a left side view strip mode parameter setting, a right side view strip mode parameter setting, a radiation on control, a radiation off control and a radar off control; The photoelectric turret control type decision model set comprises 3 control decision models including follow-up range scanning control, fixed point follow-up gaze tracking control and fixed angle scanning control; The aircraft guiding indication type decision model set comprises 5 guiding indication decision models including take-off prompts, fixed-point direct flight, fixed-point round-the-fly, landing prompts and regional route patrol; The data processing control class decision model set comprises two control decision models which are identified by the fusion of the starting data processing module and the fusion of the closing data processing module; the target collection and distribution model set comprises 3 models including AIS target retrieval, radar target retrieval and radar target distribution; The target recognition type decision model set comprises an AIS and radar target fusion decision and two decision models of a processing module result and binding information fusion decision; the automatic/manual control switching control type decision model set comprises two switching control decision models of automatic switching manual control and manual switching automatic control; the fault monitoring and early warning decision model set comprises 4 monitoring and early warning models including radar fault monitoring, photoelectric turret fault monitoring, task processing computer fault monitoring and AIS fault monitoring.
7. The load collaborative intelligent management and control method for the aviation search and rescue system is characterized by comprising the following steps of: after the aviation search and rescue system takes off along with the flying platform, the search load, the interface equipment and the display control equipment are powered on, started and self-checking is completed; Starting an intelligent decision model library, selecting a corresponding main control program control class decision model, and binding search and rescue task information; The main control program controls the class decision model to call a fault monitoring early warning class decision model, monitors fault information of each search load in real time, and generates a decision result; The main control program control class decision model calls a target area planning class decision model and a flight route class decision model, generates a route of the search and rescue aircraft according to the task information, and sends the route information to the display control equipment; The main control program control type decision model calls a radar control type decision model and a photoelectric turret control type decision model according to the position information of the airplane and task requirements, and intelligent control is carried out on the radar and the photoelectric turret; the main control program controls the class decision model to call a target collection and distribution class model set and a target identification class decision model, and the acquired target information is collected, fused and identified to generate a target list; the main control program control class decision model calls the flight route class decision model and the photoelectric turret control class decision model according to the information in the target list, and tracks and processes the targets; the main control program controls the class decision model to monitor the task execution condition in real time, and calls the corresponding decision model to adjust the task according to the task progress and the target state; And after the task is completed, the main control program controls the class decision model to call the port entering route decision model, so as to guide the search and rescue aircraft to return and land.
8. The method for collaborative intelligent control of aviation search and rescue system loads according to claim 7, wherein the search and rescue task information comprises a picture, a type, a position, a speed, a movement direction of a search target or an estimated area of the search target.
9. The method of claim 7, wherein generating the route of the search and rescue aircraft comprises leaving a planned route, searching a target area, and entering the planned route.
10. The collaborative intelligent control method for loads of an aviation search and rescue system according to claim 7, wherein targets in a target range are cataloged according to a target list, and the number, longitude, latitude, speed, movement direction, discovery time, distance, target type, whether the targets are searched or not and whether the searching is completed or not of each target are recorded.

Description

Load collaborative intelligent management and control system and method for aviation search and rescue system Technical Field The invention relates to the technical field of aviation detection, in particular to a load collaborative intelligent management and control system and method of an aviation search and rescue system. Background When performing a search and rescue mission, the unmanned aerial vehicle must accurately acquire target information and perform efficient path planning while selecting an appropriate automatic or manual control mode to perform the search mission. However, in current unmanned aircraft systems, the implementation of these functions still faces some key challenges and drawbacks. Firstly, in autonomous flight, path planning is a core link, which requires that an aircraft can calculate an optimal flight path which is safe and can efficiently utilize time and energy through a mathematical model and an optimization algorithm (such as an ant colony algorithm or a genetic algorithm) after acquiring surrounding environment information. The prior art often lacks enough flexibility and adaptability in path planning, and is difficult to cope with uncertainty factors occurring in flight, such as sensor faults, sudden weather changes or newly-occurring obstacles. This limits the ability of the unmanned aircraft to quickly re-route in the event of an accident, affecting the safety of the flight and the completion of the mission. Second, the target recognition process of obtaining target information typically relies on image processing and pattern recognition techniques to analyze the input image. The existing system has limited capability of detecting and identifying the target object under a complex background, and has insufficient identification and positioning accuracy of the target confidence. In addition, the auxiliary decision function of the existing system has the defects in the aspects of processing the recognition results of different loads in real time and carrying out decision-level fusion processing, and the accurate and reliable final recognition result is difficult to generate as an effective judgment basis. Finally, in an automated control system, the switching function between automatic and manual control is critical. Existing systems may have conflicts during switching and have insufficient automatic control adaptability of the system state when switching back from manual mode to automatic mode. These problems can lead to reduced control efficiency and even impact on flight safety at critical moments. Disclosure of Invention In order to solve the technical problems, the invention provides a load collaborative intelligent management and control system and method for an aviation search and rescue system. The method specifically comprises the following technical scheme: The load collaborative intelligent management and control system of the aviation search and rescue system comprises a search load, interface equipment and display control equipment, wherein, The searching load comprises a radar, an optoelectronic turret, an automatic ship identification system AIS and inertial navigation equipment, and is used for acquiring target information of a searching area and providing real-time position and posture information; the interface device comprises a comprehensive interface processor and a switch, and is used for matching the data of each search load with a control interface to realize the receiving, conversion and sending of the data; The display control device comprises a task processing computer, is used for receiving search data of each search load and generating target identification information, realizes real-time control of each load, and issues control commands according to the search and rescue task process. A load collaborative intelligent management and control method for an aviation search and rescue system comprises the following steps: after the aviation search and rescue system takes off along with the flying platform, the search load, the interface equipment and the display control equipment are powered on, started and self-checking is completed; Starting an intelligent decision model library, selecting a corresponding main control program control class decision model, and binding search and rescue task information; The main control program controls the class decision model to call a fault monitoring early warning class decision model, monitors fault information of each search load in real time, and generates a decision result; The main control program control class decision model calls a target area planning class decision model and a flight route class decision model, generates a route of the search and rescue aircraft according to the task information, and sends the route information to the display control equipment; The main control program control type decision model calls a radar control type decision model and a photoelectric turret control type decision