CN114077476B - Multi-platform elastic avionics system cloud system and method - Google Patents
Multi-platform elastic avionics system cloud system and method Download PDFInfo
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Abstract
A multi-platform elastic avionics architecture comprising: according to the invention, avionics professional equipment scattered on different planes is subjected to distributed logic management and organization in a system comprehensive mode to form capability modes such as reconnaissance cloud, hit cloud, electron war clouds and the like, in the elastic avionics system cloud, aiming at comprehensive objects of different professions, a multi-platform task cloud organization, a multi-platform function cloud organization and a multi-platform resource cloud organization are established, so that avionics system tasks, functions and resources of different planes are effectively managed, and each plane in the system has the same equipment and function and application target with the same resource capability to perform elastic virtualization comprehensive, so that avionics system task cloud, function cloud and resource cloud are formed, and the system cooperative capability is enhanced.
Description
Technical Field
The invention relates to a technology in the field of flight control, in particular to a multi-platform elastic avionic system cloud system and a method.
Background
In future distributed combat environments, various types of aircraft, such as pre-warning aircraft, reconnaissance aircraft, unmanned aircraft, electronic combat aircraft, typically move simultaneously, forming a coordinated aircraft cluster in the air to accomplish a particular mission. Such tasks are decomposed onto each aircraft in the cluster to form respective subtasks, including scout detection, command control, mission planning, and the like. If only different types of aircraft are combined together without interaction of their on-board avionics systems, each on-board avionics system can only perform its own subtasks. Once an aircraft fails, the subtasks it carries cannot be completed. Therefore, avionic systems on each aircraft are required to be integrated into an avionic system, the distribution and calculation work of various tasks is realized through a network virtual space, and all resources of the aircraft cluster are shared, so that the efficiency and the resource utilization rate of the aircraft cluster are improved.
The existing multi-platform avionic system research is based on the establishment of an aircraft cluster system, and the information transmission among the aircraft is completed by constructing an inter-aircraft network, so that the resource sharing among the aircraft clusters is realized, the same professional equipment of each aircraft is not subjected to cross-platform synthesis, the distributed coordination among the aircraft is lacked, and the comprehensive capacity based on the system is not really realized and improved.
Disclosure of Invention
Aiming at the problem of low efficiency of avionics system clusters on a plurality of existing aircraft platforms, the invention provides a multi-platform elastic avionics system cloud system and a method thereof, which are used for carrying out distributed logic management and organization on avionics professional equipment scattered on different aircraft in a system comprehensive mode to form capability modes such as reconnaissance cloud, hit cloud, electron war clouds and the like, establishing multi-platform task cloud organization, multi-platform function cloud organization and multi-platform resource cloud organization aiming at different professional comprehensive objects in the elastic avionics system cloud, effectively managing the avionics system tasks, functions and resources of different aircraft, carrying out elastic virtualization comprehensive on equipment with the same resource capability, the same professional capability and the same application target tasks of each aircraft in the system, and forming the avionics system task cloud, the function cloud and the resource cloud so as to enhance the collaborative capability of the system.
The invention is realized by the following technical scheme:
The invention relates to a multi-platform elastic avionics system cloud architecture, comprising: a multi-platform elastic avionics system task cloud organization, a function cloud organization, and a resource cloud organization, wherein: the task cloud organization is connected with the task comprehensive modules arranged in the aircrafts and transmits task information, the function cloud organization is connected with the function comprehensive modules arranged in the aircrafts and transmits function information, and the resource cloud organization is connected with the resource comprehensive modules arranged in the aircrafts and transmits computing resources and radar resources; the task comprehensive module resides in the flight control computer of each aircraft and is used for managing the tasks of the aircraft, integrating the tasks in the aircraft and transmitting and receiving task information into the task cloud; the function comprehensive module resides in the flight control computer of each aircraft and is used for managing the functions of the aircraft, merging the functions in the aircraft and transmitting and receiving the function information into the function cloud; the resource comprehensive module is resident in the flight control computer of each aircraft and used for managing aircraft resources, integrating the resources in the aircraft and transmitting resource information to the resource cloud.
The task information refers to: tasks that an aircraft associated with an airborne reconnaissance system, a flight control system, a missile weapon system in an aircraft is required to perform include: the detection task, the command and control task and the interception striking task are further comprised by subtasks such as: the scout detection task may be classified into a detection target task, an identification target task, and a tracking target task.
The function information includes: scout functions, control functions, strike functions associated with airborne scout systems, flight control systems, missile weapon systems in aircraft.
The computing resource refers to: an aircraft associated with an on-board flight control computer performs the resources required for the calculation.
The radar resource refers to: information derived from radar on the aircraft related to radar on the aircraft.
The task cloud organization comprises: the system comprises a task information summarizing module, a task information reorganizing module, a task information decision module and a task information distributing module, wherein: the task information summarizing module is connected with the task comprehensive module in each aircraft and receives task information in the aircraft, the task information restructuring module is connected with the task information summarizing module and transmits the task information in the aircraft and forms various task sequences, the task information decision module is connected with the task information restructuring module and transmits task sequence information and decides which task sequence combination is used, and the task information distribution module is connected with the task information decision module and transmits a final task sequence and distributes tasks to each aircraft.
The function cloud organization comprises: function information summarizing module, function information fusion module and function information sharing module, wherein: the function information summarizing module is connected with the function comprehensive module in each aircraft and receives the function information in the aircraft, the function information fusion module is connected with the function information summarizing module and transmits and fuses the summarized function information of each aircraft, and the function information sharing module is connected with the function information fusion module and transmits the fused function information and shares the fusion result to each aircraft. The resource cloud organization comprises: the resource summarizing module and the resource sharing module, wherein: the resource summarizing module is connected with the resource integrating module in each aircraft and receives the resource information in the aircraft, and the resource sharing module is connected with the resource summarizing module and transmits the integrated resource information and shares the integrated result to each aircraft.
The invention relates to a realization method of the system, wherein a multi-platform elastic avionic system cloud architecture realizes multi-platform avionic system task cloud organization, function cloud organization and resource cloud organization of an aircraft cluster in a large-scale combat environment in a network connection mode of each aircraft, and finally virtual space management in the multi-platform elastic avionic system cloud is carried out.
The multi-platform avionics system task cloud organization refers to: in order to complete application requirements, each sub-task sequence of the aircraft is effectively organized and synthesized, and finally, a virtual cloud space capable of dispersing risks and being applied across domains is realized. Through the task cloud, the correct aircraft combination can be matched for a given mission to create greater killing.
The functional cloud organization refers to: and the application and function oriented distributed general processing environment is characterized in that each plane has a respective function, and similar functions are collected in a cloud to form a virtual cloud space. The function cloud organization is used for carrying out multi-platform function management on similar functions in different planes, and a virtual space function complementation concept and a function coordination concept are constructed.
The resource cloud organization refers to: the resource equipment of each aircraft can be dynamically networked in real time, the resources in all the aircraft are managed in a virtual cloud space, and the resource cloud organization comprises a computing resource cloud and a radar resource cloud.
The virtual space management refers to: each aircraft uploads own information and obtains information of other aircraft through a virtual space, the situation of the whole battlefield is known in real time, and the aircraft which are separated on the battlefield but have sufficient information are contacted by a very reliable network, so that a new organization and fight method is developed, more information, cooperation and situational awareness are shared, and each aircraft can be made to be consistent in theory, command is faster, and actions are more effective.
Technical effects
The invention integrally solves the problems that the existing multi-platform avionic system completes information transmission among airplanes by constructing an inter-airplane network, lacks distributed coordination among all airplanes and does not really realize and improve the comprehensive capacity based on the system.
Compared with the prior art, the invention increases the capacity of each aircraft through a virtualization mode, effectively organizes and manages avionics systems and equipment distributed on different aircraft in different physical spaces through a virtual organization management mode, completes multi-platform task cloud organization, multi-platform function cloud organization and multi-platform resource cloud organization of all the aircraft in the whole battlefield through a cloud organization mode, obtains an optimal task allocation result and an efficient resource processing result, has certain dynamic performance, can select optimal nodes to execute tasks, and increases the capacity of the whole aircraft cluster.
Drawings
FIG. 1 is a diagram of a physical architecture of the present invention;
FIG. 2 is a task cloud of the present invention;
FIG. 3 is a functional cloud of the present invention;
FIG. 4 is a cloud of computing resources in accordance with the present invention;
FIG. 5 is a cloud of radar resources in the present invention;
FIG. 6 is a diagram of a virtual space and physical space integrated architecture of the present invention;
FIG. 7 is a timing diagram of the present invention in a regional air defense environment;
Fig. 8 is a timing diagram of a prior art combat in a regional air combat environment.
Detailed Description
As shown in fig. 1, the multi-platform avionic control system according to the present embodiment includes: a multi-platform elastic avionics system task cloud organization, a function cloud organization, and a resource cloud organization, wherein: the task cloud organization is connected with the task comprehensive modules of the aircrafts and transmits task information, the function cloud organization is connected with the function comprehensive modules of the aircrafts and transmits function information, and the resource cloud organization is connected with the resource comprehensive modules of the aircrafts and transmits computing resources and radar resources. After the aircraft forms the synthesis of tasks, functions and resources, the tasks, functions and resources in avionics professional equipment on each aircraft are managed through the concept of a virtualized cloud to form task cloud, function cloud and resource cloud. In addition, there are parts of the aircraft that cannot reside in the cloud, such as high-precision percussion equipment. The non-resident part independently performs task arrangement, function execution and resource allocation according to the requirements of directors.
As shown in fig. 2, the task cloud refers to that in order to complete application requirements, each subtask of an aircraft is summarized by a task information summarizing module, subtask sequences are effectively organized and synthesized by a task information reorganizing module, a driver selects an optimal subtask sequence by a task information decision module, a task information distributing module distributes tasks to each aircraft, and finally a virtual cloud space capable of dispersing risks and cross-domain application is realized. Through the task cloud, the correct aircraft combination can be matched for a given mission to create greater killing. If a certain aircraft breaks down, the task cloud selects the most appropriate alternative based on the current battlefield situation, so that greater elasticity is ensured. Task clouds can balance task loads by sharing resources across domains, resulting in greater efficiency.
As shown in fig. 3, the function cloud refers to a distributed general processing environment oriented to applications and functions, each aircraft has respective functions, a virtual cloud space formed by collecting similar functions in the cloud through a function information summarizing module, and the similar functions in different aircraft are subjected to multi-platform function cloud organization through a function information fusion module, so that virtual space function complementation and function coordination are realized, and finally real-time sharing of plane functions of each aircraft is realized through a function information sharing module. Specifically, the task requirement is that the attack on the target is completed, then the target recognition function, the target resolving function and the weapon transmitting function are decomposed, and in the recognition process, the recognition functions of all the platforms in the system are integrated in a cross-platform manner through a cloud organization mode, so that the recognition requirement is completed without paying attention to the recognition function which is completed by the specific platform.
The resource cloud is that the resource equipment of each aircraft can be dynamically networked in real time, is managed through the resource summarizing module, and shares the resource information to each aircraft through the resource sharing module, and comprises a computing resource cloud and a radar resource cloud.
As shown in fig. 4, each aircraft of the computing resource cloud has its own hardware, data links, physical resources, and applications, and there is a lot of computing power available at times other than when local operations are performed, and the computing resource cloud integrates the free computing power in all the aircraft to form a computing resource usable power. And the computing resource cloud performs time slicing according to time and is based on task association, and the multi-platform elastic avionic system cloud computing resource association periodic task is organized and operated.
As shown in fig. 5, the radar resource cloud refers to that when an aircraft in a system has a requirement of acquiring the coordinates of an enemy target, the target position detected by which aircraft platform radar is not required to be concerned, a virtualized organization is achieved, a certain radar is not required to be specified to report the enemy target position, after a new aircraft platform is accessed into the system, the radar resource of the aircraft can be elastically accessed Lei Dayun, and when the aircraft fails, the radar resource of the aircraft can be elastically exited Lei Dayun.
As shown in fig. 5, the logical architecture of the multi-platform elastic avionics system cloud is divided into an airplane, a physical space, a virtual space, a combat mission and a combat mission. By constructing different professional virtual spaces, such as a reconnaissance cloud, a hit cloud, a decision cloud, a display cloud and the like, on the physical spaces of each aircraft with similar functions, and constructing the virtualization capacity crossing the physical spaces, various fight tasks distributed in the cloud are completed, a system-level fight new mode is cooperatively completed, the fight capacity is improved, and fight missions are realized. The aircraft also has a part which can not reside to the cloud, and the part which can not reside independently carries out task arrangement, function execution and resource allocation according to the requirements of directors.
The embodiment relates to a multi-platform elasticity control method of the system, which comprises the following steps:
Step one: in regional air combat operations, radars in each aircraft on a battlefield are used as inputs to the multi-platform elastic avionic system cloud, and the whole battlefield situation is perceived through network transmission by sensors in each aircraft, namely, the inputs of each aircraft. Based on the combat environment and combat situations, subtasks of avionics systems in each aircraft are integrated through task clouds in order to complete application requirements, situation awareness, recognition and presumption synthesis are performed, and as function clouds fuse reconnaissance functions in each aircraft, 8s are required for detecting targets in the prior art, and 5s are required under the multi-platform elastic avionic system cloud. The multi-platform elastic avionic system cloud selects optimal nodes to execute tasks, task cloud organization of the aircraft subtasks is achieved, the reconnaissance detection tasks are deployed to the early warning aircraft and the unmanned aerial vehicle, and the fighter aircraft with the fighter tasks deployed to the proper positions is intercepted.
Step two: when the interception striking task is executed, the interception striking function is decomposed into a target recognition function, a target resolving function and a weapon transmitting function, and in the recognition process, recognition functions of all planes in the system are fused in a cross-platform mode through a cloud organization mode to complete recognition requirements without paying attention to the recognition function which is completed by the specific plane. According to task organization requirements, functions of professionally similar aircrafts are integrated in the multi-platform elastic avionic system cloud to be managed and scheduled in a unified mode, and accuracy and usability of an aircraft cluster function result can be improved.
Step three: when the aircraft supports the aircraft to complete tasks, resources are free or the task period of the unit is executed, and resource support is provided for other aircraft under the organization and management of the resource cloud. The resource capability organization of the self-characteristics of each aircraft in the air mission system based on the time mode configuration is realized through a network, and the spare capability based on the respective time region is provided. Therefore, the time for processing analysis information and deciding judgment can be reduced through the resource cloud, and if the analysis information processing in the prior art needs 2.2s, the analysis information processing in the prior art needs 1.2s under the multi-platform elastic avionic system cloud; if the decision in the prior art is judged to need 5s, 4s are needed under the multi-platform elastic avionic system cloud. Through the organization of the empty capacity, a comprehensive environment based on the whole avionic system cloud and the characteristics of each aircraft is constructed, so that task organization and functional mode are effectively supported to be matched with the input prophase of each aircraft, and regional anti-air combat is realized.
The multi-platform task cloud organization is based on a combat environment and combat situations, subtasks of avionics systems in each aircraft are synthesized through professional clouds in order to finish application requirements, and through situation awareness, identification and presumption synthesis, the multi-platform elastic avionics system cloud selects optimal nodes to execute tasks, so that task cloud organization of the aircraft subtasks is realized, and finally mapping of the aircraft subtasks to functional organization is realized.
The multi-platform functional cloud organization refers to integrating the functions of professionally similar aircrafts in a multi-platform elastic avionic system cloud for unified management and scheduling according to task organization requirements, and improving the precision and usability of the results of the functions of the aircrafts.
The multi-platform resource cloud organization refers to that when an aircraft supports the aircraft to complete tasks, resources are free or the unit task period is executed at intervals, resource support is provided for other aircraft under the cloud organization and management of an elastic avionics system, the resource utilization rate and efficiency are improved through resource sharing, the resource sharing based on time distribution is realized through resource capacity organization and allocation according to the capacity demand of concurrent functions on the resources, the resource utilization efficiency is improved, the aircraft cluster resource allocation is reduced, and the efficiency of the aircraft cluster resources is enhanced.
The multi-platform elastic avionic system cloud is managed in a loose coupling mode, so that when an aircraft has idle resources, the resources can be called, and the combat efficiency is improved. The multi-platform elastic avionic system cloud has certain dynamic property, and based on a cloud organization mode, optimal nodes are dynamically selected to execute tasks, so that the effectiveness of combat is improved, for example, a hit cloud can dynamically designate an airplane which is most suitable for launching a missile to launch the missile.
An important technology of the multi-platform elastic avionics system cloud is virtual space management. The multi-platform elastic avionic system cloud can realize distributed coordination through the virtual space, each aircraft uploads own information through the virtual space and obtains information of other aircraft, the whole battlefield situation is known in real time, the aircraft which are separated on the battlefield but have sufficient information are connected through a very reliable network, so that new organization and combat methods are developed, more information, cooperation and situational awareness are shared, and each aircraft can be made to be consistent in theory, command is faster and actions are more effective. Through distributed cooperation, the cooperation combat can be implemented in a scattered combat form, namely, the advantage of information acquisition exists, the advantage of information distribution and target damage conversion from information to firepower distribution is further developed, the detection, control and combat information loop is greatly reduced, and the combat efficiency of informatization equipment is comprehensively improved.
The comprehensive framework of the cloud virtual space and the physical space of the multi-platform elastic avionics system is shown in fig. 6, and a functional cloud organization builds a distributed functional organization in a professional cloud according to the functional requirements of the virtual space, so that the distributed functional processing capacity, quality and efficiency optimization process organization is realized; the resource cloud organization builds a distributed resource organization according to the resource capacity of the physical space, and realizes distributed resource sharing, process multiplexing and state management optimization process organization. The fight environment is composed of a plurality of fight areas, for example, an airplane cluster for reconnaissance at the front end is one fight area, and an airplane cluster for command at the rear end is one fight area. The aircraft in each combat zone is composed of a virtual space and a physical space of the aircraft, and the virtual space and the physical space of all the aircraft in all the combat zones are integrated in the cloud by the multi-platform elastic avionic system cloud to form professional cloud virtual synthesis and professional cloud physical synthesis so as to realize multi-platform task cloud organization, multi-platform functional cloud organization and multi-platform resource cloud organization.
The operation mode of the multi-platform elastic avionic system cloud is as follows: and the obtained information is comprehensively uploaded to a multi-platform elastic avionic system cloud by each aircraft, and multi-platform task cloud organization, multi-platform function cloud organization and multi-platform resource cloud organization are realized in the cloud. For the unmanned plane platform, information transmitted by a man-machine aspect and task instructions transmitted by a commander can be obtained, the next task is executed according to the condition of the whole battlefield, and the information collaboration can be achieved unlike the past information sharing; for the man-machine platform, task cloud organization results in the professional cloud are required to be displayed to the commander, so that the commander can master the real-time situation of the whole battlefield, and task scheduling with decision as the center is realized; for platforms such as fighter planes with high precision requirements, in order to ensure the real-time performance of the fighter, the fighter details need to be determined by own equipment and personnel, but the assignment of which fighter plane to execute the fighter task needs to be determined by a system cloud command.
By integrating the improvements, the multi-platform elastic avionic system cloud firstly senses the situation of the whole battlefield through the input of each aircraft, forms a fighter multi-platform task cloud organization of each aircraft in the task cloud according to the fight mission and aiming at the fight mode, transmits the multi-platform task cloud organization result to the aircraft, is realized by equipment equipped by the aircraft, integrates the task organization capacity of each aircraft based on the cloud mode under the dispatching of the multi-platform elastic avionic system cloud, and cooperatively completes the whole fight mission to realize the multi-platform task cloud organization; secondly, determining the constitution of the cloud function action field of the multi-platform elastic avionics system according to professional capacities of different equipment in the aircraft cluster through a distributed system organization, constructing operation condition requirements according to system function characteristics of different equipment, supporting the existing multi-platform task cloud organization results, and realizing multi-platform function cloud organization in the cloud; finally, when equipment support in the aircraft completes the combat task, resources are abundant or the unit task period is executed, resource support can be provided for other aircraft under the cloud organization and management of the elastic avionics system, and the multi-platform resource cloud organization is realized.
Through a specific practical experiment, under the specific environment setting of regional air defense, the method is started as shown in fig. 7, and experimental data can be obtained as follows: from the detection of the target to the interception of the hit, the multi-platform elastic avionics system cloud requires 6s. The time chart of the aircraft cluster under the regional air combat of the point-to-point transmission which is commonly used at present is shown in fig. 8, and the time from the detection of the target to the interception of the hit is 8.1s
Compared with the prior art, the system realizes the cross-platform synthesis of each aircraft by transmitting tasks, functions and resources in multiple aircraft platforms to the virtual cloud through the network, realizes the distributed collaboration among the aircraft, and realizes the comprehensive capacity based on the system; the computing resources among the aircrafts can be shared, and management and distribution of the whole battlefield situation are combined, so that the battlefield efficiency is improved.
The foregoing embodiments may be partially modified in numerous ways by those skilled in the art without departing from the principles and spirit of the invention, the scope of which is defined in the claims and not by the foregoing embodiments, and all such implementations are within the scope of the invention.
Claims (8)
1. A multi-platform elastic avionics architecture, comprising: a multi-platform elastic avionics system task cloud organization, a function cloud organization, and a resource cloud organization, wherein: the task cloud organization is connected with the task comprehensive modules arranged in the aircrafts and transmits task information, the function cloud organization is connected with the function comprehensive modules arranged in the aircrafts and transmits function information, and the resource cloud organization is connected with the resource comprehensive modules arranged in the aircrafts and transmits computing resources and radar resources; the task comprehensive module resides in the flight control computer of each aircraft and is used for managing the tasks of the aircraft, integrating the tasks in the aircraft and transmitting and receiving task information into the task cloud; the function comprehensive module resides in the flight control computer of each aircraft and is used for managing the functions of the aircraft, merging the functions in the aircraft and transmitting and receiving the function information into the function cloud; the resource comprehensive module resides in the flight control computer of each aircraft and is used for managing aircraft resources, integrating the resources in the aircraft and transmitting resource information to the resource cloud;
The task information refers to: tasks that an aircraft associated with an airborne reconnaissance system, a flight control system, a missile weapon system in an aircraft is required to perform include: a scout detection task, a command control task and an interception striking task;
the function information includes: a reconnaissance function, a control function and a striking function related to an air reconnaissance system, a flight control system and a missile weapon system in an airplane;
the computing resource refers to: the aircraft related to the flight control computer on the aircraft can complete the resources required by calculation;
the radar resource refers to: information derived from radar on the aircraft related to radar on the aircraft.
2. The multi-platform elastic avionics architecture of claim 1, wherein the task cloud organization comprises: the system comprises a task information summarizing module, a task information reorganizing module, a task information decision module and a task information distributing module, wherein: the task information summarizing module is connected with the task comprehensive module in each aircraft and receives task information in the aircraft, the task information restructuring module is connected with the task information summarizing module and transmits the task information in the aircraft and forms various task sequences, the task information decision module is connected with the task information restructuring module and transmits task sequence information and decides which task sequence combination is used, and the task information distribution module is connected with the task information decision module and transmits a final task sequence and distributes tasks to each aircraft.
3. The multi-platform resilient avionics architecture of claim 1, wherein the functional cloud organization comprises: function information summarizing module, function information fusion module and function information sharing module, wherein: the function information summarizing module is connected with the function comprehensive module in each aircraft and receives the function information in the aircraft, the function information fusion module is connected with the function information summarizing module and transmits and fuses the summarized function information of each aircraft, the function information sharing module is connected with the function information fusion module and transmits the fused function information and shares the fusion result to each aircraft, and the resource cloud organization comprises: the resource summarizing module and the resource sharing module, wherein: the resource summarizing module is connected with the resource integrating module in each aircraft and receives the resource information in the aircraft, and the resource sharing module is connected with the resource summarizing module and transmits the integrated resource information and shares the integrated result to each aircraft.
4. A method for implementing the multi-platform elastic avionics system cloud architecture according to any one of claims 1 to 3, characterized in that a multi-platform avionics system task cloud organization, a function cloud organization and a resource cloud organization of an aircraft cluster in a large-scale combat environment are implemented in a network connection manner of each aircraft, and finally virtual space management in the multi-platform elastic avionics system cloud is performed.
5. The method of claim 4, wherein the multi-platform avionics architecture task cloud organization is: in order to complete application requirements, each sub-task sequence of the aircraft is effectively organized and synthesized, a virtual cloud space capable of dispersing risks and being applied across domains is finally realized, and the correct aircraft combination can be matched for a given mission to create greater killing power through task clouds.
6. The method of claim 4, wherein the functional cloud organization is: and the function cloud organization is used for carrying out multi-platform function management on the similar functions in different planes, and constructing a virtual space function complementation concept and a function coordination concept.
7. The method of claim 4, wherein the resource cloud organization is: the resource equipment of each aircraft can be dynamically networked in real time, the resources in all the aircraft are managed in a virtual cloud space, and the resource cloud organization comprises a computing resource cloud and a radar resource cloud.
8. The method of claim 4, wherein the virtual space management means: each aircraft uploads own information and obtains information of other aircraft through a virtual space, the situation of the whole battlefield is known in real time, and the aircraft which are separated on the battlefield but have sufficient information are contacted by a very reliable network, so that a new organization and fight method is developed, more information, cooperation and situational awareness are shared, and each aircraft can be made to be consistent in theory, command is faster, and actions are more effective.
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104064057A (en) * | 2014-06-13 | 2014-09-24 | 沈阳飞机工业（集团）有限公司 | Method for implementing complementation and fusion of image tracking measurement data and radar measurement data |
| CN106394915A (en) * | 2016-11-11 | 2017-02-15 | 深圳市智璟科技有限公司 | All-in-one mission load of unmanned aerial vehicle |
| CN107728643A (en) * | 2017-11-10 | 2018-02-23 | 西安电子科技大学 | A kind of unmanned aerial vehicle group distributed task dispatching method under dynamic environment |
| CN107808550A (en) * | 2017-10-30 | 2018-03-16 | 北京博鹰通航科技有限公司 | A kind of unmanned machine management system of plant protection |
| CN109460067A (en) * | 2018-10-30 | 2019-03-12 | 北京航空航天大学 | Multi-rotor aerocraft automatic aiming projects platform |
| CN109597839A (en) * | 2018-12-04 | 2019-04-09 | 中国航空无线电电子研究所 | A kind of data digging method based on the avionics posture of operation |
| EP3522016A2 (en) * | 2018-02-05 | 2019-08-07 | Honeywell International Inc. | Touch screen controller with data exchange and mining service |
| CN112863250A (en) * | 2020-08-13 | 2021-05-28 | 上海交通大学 | Multi-platform avionic control system and method |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10552124B2 (en) * | 2016-09-16 | 2020-02-04 | Oracle International Corporation | Systems and methods for building applications using building blocks linkable with metadata |
-
2020
- 2020-08-14 CN CN202010819055.0A patent/CN114077476B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104064057A (en) * | 2014-06-13 | 2014-09-24 | 沈阳飞机工业（集团）有限公司 | Method for implementing complementation and fusion of image tracking measurement data and radar measurement data |
| CN106394915A (en) * | 2016-11-11 | 2017-02-15 | 深圳市智璟科技有限公司 | All-in-one mission load of unmanned aerial vehicle |
| CN107808550A (en) * | 2017-10-30 | 2018-03-16 | 北京博鹰通航科技有限公司 | A kind of unmanned machine management system of plant protection |
| CN107728643A (en) * | 2017-11-10 | 2018-02-23 | 西安电子科技大学 | A kind of unmanned aerial vehicle group distributed task dispatching method under dynamic environment |
| EP3522016A2 (en) * | 2018-02-05 | 2019-08-07 | Honeywell International Inc. | Touch screen controller with data exchange and mining service |
| CN109460067A (en) * | 2018-10-30 | 2019-03-12 | 北京航空航天大学 | Multi-rotor aerocraft automatic aiming projects platform |
| CN109597839A (en) * | 2018-12-04 | 2019-04-09 | 中国航空无线电电子研究所 | A kind of data digging method based on the avionics posture of operation |
| CN112863250A (en) * | 2020-08-13 | 2021-05-28 | 上海交通大学 | Multi-platform avionic control system and method |
Non-Patent Citations (3)
| Title |
|---|
| "Fail-Safe, Fail-Secure Experiments for Small UAS and UAM Traffic in Urban Airspace";Sam Siewert;《2019 IEEE/AIAA 38th Digital Avionics Systems Conference(DASC)》;20200430;第1-7页 * |
| "支线客机关键技术与发展方向";陈勇;《航空学报》;20230314;第44卷(第02期);第156-180页 * |
| "软件定义航空集群机载战术网络";赵尚弘;《通信学报》;20170825;第38卷(第08期);第140-155页 * |
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