Intelligent decision-making method and intelligent decision-making system for cooperative firepower strike based on CPS

Abstract

The invention relates to a cooperative firepower attack intelligent decision-making system based on a CPS. The cooperative firepower attack intelligent decision-making system comprises an intelligent decision-making center, a fire control system, a weapon system, a situation awareness system, a combat command and control center, a combat data center, reconnaissance equipment and a real-time communication network. The situation awareness system is used for acquiring weapon and target information of a battlefield and transmitting the information to the intelligent decision center; the intelligent decision-making center fuses and processes information from all the systems to obtain a cooperative firepower strike decision-making scheme; the combat command control center is used for receiving the preliminary task decision and sending the final task decision to the intelligent decision center; the fire control system is used for receiving the attack decision task and controlling the weapon system to attack the target; the combat data center is used for providing data support; and the real-time communication network is used for realizing real-time information transmission. According to the method, the advantages of information-physical fusion of the decision making system are fully exerted, the cooperative firepower strike decision is optimized, and the overall firepower strike capability of the combat unit is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of combat decision control, and in particular to a CPS-based coordinated firepower strike intelligent decision method and intelligent decision system. Background Art

[0002] Traditionally, the research on the combat firepower confrontation process mainly adopts methods based on Agent, Lanchester equation, force calculation, etc., but there is still a lack of effective means to reveal the combat capability of informationized weapons and equipment from the perspective of decision optimization. In a broad sense, CPS is a controllable, reliable, and scalable networked physical device system that deeply integrates computing, communication, and control capabilities based on environmental perception. CPS essentially effectively integrates the computing process and the physical process, monitors the physical process through embedded computers and networks, and the physical process and the computing process influence each other through feedback loops.

[0003] Since the new informationized weapon equipment has the typical characteristics of information-physical fusion, based on the relevant concepts of information-physical fusion, the present invention abstracts the firepower strike system of ground combat weapons into an information-physical fusion system (CPS), gives full play to the information-physical fusion advantages of the weapon system, and establishes a corresponding intelligent decision-making architecture based on this, so as to optimize the coordinated firepower strike decision and improve the overall firepower strike capability of manned / unmanned combat teams. Summary of the invention

[0004] The present invention intends to provide a CPS-based coordinated firepower strike intelligent decision-making method and intelligent decision-making system to solve the deficiencies in the prior art. The technical problem to be solved by the present invention is achieved through the following technical solutions.

[0005] A CPS-based coordinated firepower strike intelligent decision-making method includes the following steps:

[0006] Step 1: The combat teams are organized into weapon clusters according to the combat missions issued by the combat command and control center;

[0007] Step 2: Obtain real-time battlefield situation information through battlefield reconnaissance equipment, situation awareness system and combat data center, and transmit multi-node data to the intelligent decision-making center through real-time communication network;

[0008] Step 3: The intelligent decision-making center processes the data of each node, forms a preliminary mission decision and transmits it to the combat command and control center for reference by decision makers;

[0009] Step 4: The decision maker forms the final mission decision based on the combat mission and the preliminary mission decision and sends it to the intelligent decision center through the combat command and control center. The intelligent decision center processes it and distributes it to each weapon cluster.

[0010] Step 5: Each weapon cluster executes the strike decision-making task;

[0011] Step 6: When each weapon cluster conducts fire confrontation according to the strike decision task, the situation awareness system perceives the battlefield situation information and transmits the information to the intelligent decision center for processing, calculates the optimal fire strike action decision, and transmits it to the fire control system;

[0012] Step seven: The fire control system receives the fire strike action decision from the intelligent decision-making center, processes the fire strike action decision and controls each weapon to launch a fire strike on the target; at the same time, re-execute step two until the combat mission is completed.

[0013] Preferably, in step 2, the method for the situation awareness system to obtain battlefield situation information includes weapon position information obtained through a navigation positioning sensor, target image information obtained through a visible light or infrared image sensor, target distance information obtained through a distance sensor, and weapon status information obtained through a weapon sensor.

[0014] Preferably, in step three, the algorithm for integrating and processing the situation information from the situation awareness system, reconnaissance equipment, combat command and control center, and combat data center by the intelligent decision center includes obtaining the target type and status through an image recognition algorithm, obtaining the target position through a positioning algorithm, and processing the personnel evaluation information, combat status information, equipment information, and geographic information from the combat data center to provide a data basis for the formulation of intelligent decisions.

[0015] Preferably, in step six, the intelligent decision-making center formulates a strike decision through a decision-making calculation method based on cloud computing, a decision-making calculation method based on edge computing, or a decision-making calculation method based on a designated node.

[0016] The present invention also provides a CPS-based coordinated firepower strike intelligent decision-making system, including an intelligent decision-making center, a fire control system, a weapon system, a situation awareness system, a combat command and control center, a combat data center, reconnaissance equipment and a real-time communication network; the situation awareness system is used to obtain battlefield weapons and target information and transmit it to the intelligent decision-making center; the reconnaissance equipment is used to scout air or ground battlefield situation information and transmit it to the combat data center in real time; the intelligent decision-making center obtains the optimal coordinated firepower strike decision-making plan by fusing and processing information from the situation awareness system, reconnaissance equipment, combat command and control center, and combat data center; the combat command and control center is used to receive information from the intelligent decision-making center. The preliminary task decision of the decision center is provided for the reference of the decision maker, and the final task decision made by the decision maker is sent to the intelligent decision center; the fire control system is used to receive the strike decision task from the intelligent decision center, process the strike decision task and control the weapon system to strike the target to complete the execution of the strike decision task; the combat data center is used to store and update the combat data and information from the reconnaissance equipment, and provide data support for the combat command and control system and the intelligent decision center; the real-time communication network is used to realize the real-time information transmission among the intelligent decision center, fire control system, weapon system, situation awareness system, combat command and control center, combat data center and reconnaissance equipment.

[0017] Preferably, the weapon system includes main battle weapons, fire support weapons, unmanned strike weapons, and individual soldiers.

[0018] Preferably, the situation awareness system includes a number of dispersed sensor nodes and a collection node thereof, wherein the sensor nodes are used to sense weapon status information of the weapon system, and then send the information to the combat command and control center via the collection node for analysis and processing.

[0019] In the present invention, the intelligent decision-making problem of the combat team is abstracted into a decision optimization problem based on CPS. The intelligent decision-making system provided by the present invention has the capabilities of real-time perception of battlefield information, information processing, intelligent decision-making, and firepower strike. Through real-time processing of battlefield data, sharing and fusion of multi-node information, and coordinated control of multiple weapons, the information space and the actual physical battlefield are interconnected and coordinated. In the present invention, the ground combat team is a manned combat team or an unmanned combat team, and the weapons and equipment are equipped with tactical radio stations, which have different transmission characteristics according to the characteristics of the weapon type. A battlefield Internet is formed between the communication systems of the weapon systems to meet the needs of real-time information interaction on the battlefield. By using bus technology, information between various weapons and equipment can be shared, and information-interconnected combat force coordination is realized. The intelligent decision-making system significantly enhances the computing efficiency through decision-making calculation methods based on cloud computing, edge computing, or formulation nodes. The fire control system has strong computing power and can realize functions such as target tracking, trajectory solution, and environmental parameter perception. Each weapon has strong mobile computing capabilities in the form of vehicle-mounted or airborne. Through information sharing over real-time communication networks, the overall information processing capability of the fire control system is greatly enhanced. The fire control system controls the direction of weapons and artillery, the firing of weapons and shells, the operating status of weapon components, etc. to execute action decisions.

[0020] The present invention provides a CPS-based coordinated firepower strike intelligent decision-making method and system, which abstracts the ground combat weapon firepower strike system into an information-physical fusion system, gives full play to the advantages of information-physical fusion of the decision-making system, and establishes a corresponding intelligent decision-making architecture based on this, thereby optimizing the coordinated firepower strike decision and improving the overall firepower strike capability of manned / unmanned combat teams. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 It is a structural block diagram of the intelligent decision-making system in the present invention;

[0022] Figure 2 It is a closed-loop structural diagram of the decision-making process of the intelligent decision-making center in the present invention;

[0023] Figure 3 It is a closed-loop structural block diagram of the intelligent decision-making system in the present invention. DETAILED DESCRIPTION

[0024] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0025] Embodiment 1:

[0026] A CPS-based coordinated firepower strike intelligent decision-making method, the improvement of which is that it includes the following steps:

[0027] Step 1: The combat teams are organized into weapon clusters according to the combat missions issued by the combat command and control center;

[0028] Step 2: Obtain real-time battlefield situation information through battlefield reconnaissance equipment, situation awareness system and combat data center, and transmit multi-node data to the intelligent decision-making center through real-time communication network;

[0029] Step 3: The intelligent decision-making center processes the data of each node, forms a preliminary mission decision and transmits it to the combat command and control center for reference by decision makers;

[0030] Step 4: The decision maker forms the final mission decision based on the combat mission and the preliminary mission decision and sends it to the intelligent decision center through the combat command and control center. The intelligent decision center processes it and distributes it to each weapon cluster.

[0031] Step 5: Each weapon cluster executes the strike decision-making task;

[0032] Step 6: When each weapon cluster conducts fire confrontation according to the strike decision task, the situation awareness system perceives the battlefield situation information and transmits the information to the intelligent decision center for processing, calculates the optimal fire strike action decision, and transmits it to the fire control system;

[0033] Step seven: The fire control system receives the fire strike action decision from the intelligent decision-making center, processes the fire strike action decision and controls each weapon to launch a fire strike on the target; at the same time, re-execute step two until the combat mission is completed.

[0034] Furthermore, in step 2, the method for the situation awareness system to obtain battlefield situation information includes weapon position information obtained through a navigation positioning sensor, target image information obtained through a visible light or infrared image sensor, target distance information obtained through a distance sensor, and weapon status information obtained through a weapon sensor.

[0035] Furthermore, in step three, the algorithm used by the intelligent decision center to integrate and process the situation information from the situation awareness system, reconnaissance equipment, combat command and control center, and combat data center includes obtaining the target type and status through an image recognition algorithm, obtaining the target position through a positioning algorithm, and processing the personnel evaluation information, combat status information, equipment information, and geographic information from the combat data center to provide a data basis for the formulation of intelligent decisions.

[0036] Furthermore, in step six, the intelligent decision-making center formulates a strike decision through a decision-making calculation method based on cloud computing, a decision-making calculation method based on edge computing, or a decision-making calculation method based on a designated node.

[0037] In this embodiment, the intelligent decision-making problem of the combat team is abstracted into a decision optimization problem based on CPS. The intelligent decision-making system provided in this embodiment has the capabilities of real-time perception of battlefield information, information processing, intelligent decision-making, and firepower strike. Through real-time processing of battlefield data, sharing and fusion of multi-node information, and coordinated control of multiple weapons, the information space and the actual physical battlefield are interconnected and coordinated. In the present invention, the ground combat team is a manned combat team or an unmanned combat team, and the weapons and equipment are equipped with tactical radio stations, which have different transmission characteristics according to the characteristics of the weapon type. The battlefield Internet is formed between the communication systems of the weapon systems to meet the needs of real-time information interaction on the battlefield. By using bus technology, information between various weapons and equipment can be shared, and information-interconnected combat force coordination is realized. The intelligent decision-making center significantly enhances the computing efficiency through decision-making calculation methods based on cloud computing, edge computing or formulation nodes. The fire control system has strong computing power and can realize functions such as target tracking, trajectory solution, and environmental parameter perception. Each weapon has strong mobile computing capabilities in the form of vehicle-mounted or airborne. Through information sharing over real-time communication networks, the overall information processing capability of the fire control system is greatly enhanced. The fire control system controls the direction of weapons and artillery, the firing of weapons and shells, the operating status of weapon components, etc. to execute action decisions.

[0038] This embodiment provides an intelligent decision-making method, referring to Figure 1 As shown in the figure, first, the situational awareness system is used to obtain battlefield target information: the navigation and positioning sensor is used to obtain weapon position information; the visible light / infrared image sensor is used to obtain target image information; the laser distance sensor can obtain target distance information; the weapon status sensor can obtain the status information of each weapon. The data provided by the real-time communication network includes information obtained by reconnaissance equipment and information issued by superiors; the combat command and control center can provide combat personnel's operation and decision-making information; the combat database can provide equipment information, geographic information, and combat support information from different aspects in the combat decision-making process. The battlefield multi-source sensors and shared information, human-computer interaction information, and database information provide sufficient data support for combat decisions.

[0039] Based on the battlefield information obtained, the data is processed using information processing algorithms to form input information for intelligent decision-making. For example, the target type and state can be obtained using image recognition algorithms, and the target position can be obtained through positioning algorithms. At the same time, personnel evaluation information, combat environment information, and weapon information are processed to provide a decision data basis for intelligent decision-making methods. Different decision data can be input according to different decision requirements. Based on the input information, the data is further processed, different decision models are established, and corresponding optimization algorithms are adopted to complete the conversion from information to decision. According to the characteristics of combat firepower strikes, it is divided into task decision and action decision. Task decision is based on the evaluation information of multiple decision makers, and through intelligent decision-making algorithms, cluster weapon strike task decisions against cluster targets are obtained; action decision is based on individual weapon information and target information, and through intelligent decision-making algorithms, strike action decisions against weapons-targets are obtained.

[0040] The intelligent decision-making method provided in this embodiment gives full play to the advantages of information-physical fusion, realizes rapid and efficient decision-making from information acquisition to firepower strike; realizes dynamic intelligent decision-making of manned / unmanned combat teams for different combat tasks and multiple types of weapons; solves the problem of optimizing coordinated firepower strike decisions at different firepower application levels of weapons and their clusters; integrates the advantages of human-machine decision-making, and the decision-making system can obtain robust and reliable decision results.

[0041] This embodiment provides a CPS-based coordinated firepower strike intelligent decision-making method, which abstracts the ground combat weapon firepower strike system into an information-physical fusion system, gives full play to the advantages of information-physical fusion of the weapon system, and establishes a corresponding intelligent decision-making architecture based on this, thereby optimizing the coordinated firepower strike decision and improving the overall firepower strike capability of manned / unmanned combat teams.

[0042] In this embodiment, the realization of intelligent decision-making is based on a large amount of calculation. Decision-making calculation is the information processing core of the entire intelligent decision-making center, and is the basic guarantee for the realization of intelligent decision-making based on ground combat coordinated firepower strike. The intelligent decision-making center receives a large amount of battlefield information and completes a series of tasks such as data mining, information processing, and decision optimization. According to the type of calculation and the position relationship in the battlefield and the way of using computing resources, the decision-making calculation method is divided into a decision-making calculation method based on cloud computing, a decision-making calculation method based on edge computing, or a decision-making calculation method based on designated nodes.

[0043] 1) The decision-making calculation method based on cloud computing can provide stronger information processing capabilities. Using cloud technology, the decision-making calculation center is configured in the cloud, which improves the utilization efficiency of battlefield computing resources and optimizes the information processing speed. Specifically, the decision-making calculation method based on cloud computing has the following advantages:

[0044] ① Resource integration: Cloud computing can avoid duplication of computing resources, integrate resources and improve utilization efficiency. It can save computing costs and provide high-quality computing services. Moreover, data is stored in the cloud, which can facilitate data sharing.

[0045] ② High flexibility: With cloud computing technology, the corresponding hardware and programs can be configured on demand, providing a good environment for intelligent decision-making calculations and facilitating resource management. Moreover, it is very convenient to upgrade decision-making software, and can quickly optimize and update the decision-making methods of the entire combat unit.

[0046] ③ Strong security: Since manned / unmanned combat teams are often at the forefront of the battle, the firepower confrontation between the two sides is relatively fierce, and the probability of weapon system damage is relatively high. The cloud-based decision-making computing center can prevent the failure of individual nodes from affecting the overall computing power.

[0047] 2) For edge computing-based decision-making calculation methods, manned / unmanned combat teams are often at the forefront of combat, and their equipment characteristics determine their characteristics of direct combat with the enemy. Therefore, the use of edge computing-based decision-making calculation methods can reduce the communication burden of cloud computing and improve the response speed of combat decisions. Specifically, edge computing-based decision-making calculation methods have the following advantages:

[0048] ① Close to battlefield sources: Edge computing can be close to the battlefield combat front, which is very helpful for obtaining key information for intelligent combat decision-making. It is of great significance for realizing situational information perception and processing during combat, and can give full play to the transformation of information advantages into decision-making advantages.

[0049] ② Low decision-making computing delay: Edge computing runs near the front line of operations, and because it does not need to rely on remote computing centers, it can significantly reduce latency. Therefore, edge computing improves decision-making response speed, seizes combat opportunities, and improves the real-time and effectiveness of decision-making.

[0050] ③ Strong perception and control capabilities; the edge computing center can perceive the location, status and other information of weapons in real time, obtain network situation data in real time, fully mine situation information, and provide intelligent decision-making computing support for the implementation of coordinated firepower strikes.

[0051] 3) For the decision-making calculation method based on designated nodes, when the number of equipment clusters is small and the computing power of the equipment itself is strong, one weapon is usually designated as the decision-making calculation center, responsible for the coordinated firepower strike decision calculation of the weapon cluster. When the designated node is damaged, other nodes take over as the calculation center. Specifically, the decision-making calculation method based on designated nodes has the following advantages:

[0052] ① The computing center is located at the forefront of combat and has strong information perception capabilities.

[0053] ②The coordinated control capability of multiple weapons is strong.

[0054] ③The decision-making timeliness of coordinated firepower strikes is relatively strong.

[0055] Different intelligent decision-making calculation methods have their own characteristics. In actual combat, the corresponding decision-making calculation method should be determined according to the combat mission and actual conditions.

[0056] Embodiment 2:

[0057] Reference Figure 1 As shown, a CPS-based coordinated firepower strike intelligent decision-making system, the improvement of which is that it includes an intelligent decision-making center, a fire control system, a weapon system, a situational awareness system, a combat command and control center, a combat data center, reconnaissance equipment and a real-time communication network; the situational awareness system is used to obtain battlefield weapons and target information and transmit it to the intelligent decision-making center; the reconnaissance equipment is used to reconnaissance battlefield situation information in the air or on the ground and transmit it to the combat data center in real time; the intelligent decision-making center obtains the optimal coordinated firepower strike decision-making plan by fusing and processing information from the situational awareness system, reconnaissance equipment, combat command and control center, and combat data center; the combat command and control center is used to receive information from The preliminary mission decision of the intelligent decision-making center is provided for reference by the decision-maker, and the final mission decision made by the decision-maker is sent to the intelligent decision-making center; the fire control system is used to receive the strike decision task from the intelligent decision-making center, process the strike decision task and control the weapon system to strike the target to complete the execution of the strike decision task; the combat data center is used to store and update combat data and information from reconnaissance equipment, and provide data support for the combat command and control system and the intelligent decision center; the real-time communication network is used to realize real-time information transmission among the intelligent decision center, fire control system, weapon system, situational awareness system, combat command and control center, combat data center, and reconnaissance equipment.

[0058] Furthermore, the weapon system includes main combat weapons, fire support weapons, unmanned strike weapons, and individual soldiers.

[0059] Furthermore, the situation awareness system includes a number of dispersed sensor nodes and a collection node thereof. The sensor nodes are used to sense the weapon status information of the weapon system, which is then sent to the combat command and control center via the collection node for analysis and processing.

[0060] In this embodiment, the information-physical fusion of coordinated firepower strike is a technology that emphasizes the interaction between strike information and physical battlefield information during the coordinated firepower strike process. It involves the processing of battlefield data, the sharing and fusion of multi-node information, and the coordinated control of multiple weapon platforms. It also requires battlefield information perception, information processing, intelligent decision-making, and firepower strike capabilities, and can achieve interconnection and coordination between information space and the actual physical battlefield.

[0061] In this embodiment, refer to Figure 2 and Figure 3 As shown in the figure, the intelligent decision-making system is a generalized closed-loop control system. The situational awareness system obtains battlefield situation information through battlefield reconnaissance equipment and can obtain battlefield situation data of fire strikes in real time. The intelligent decision-making center is the core of the intelligent decision-making system. By processing situational awareness information and combining it with corresponding combat tasks, it obtains the optimal coordinated fire strike decision plan. The fire control system receives the strike decision task from the intelligent decision-making center, controls the weapon system to strike the target, and completes the execution of the combat decision.

[0062] In this embodiment, the CPS-based coordinated fire strike system is divided into two parts: the physical battlefield and the information space, and integrates intelligent computing, fire control and real-time communication technologies. In this embodiment, the physical battlefield includes physical entities such as various weapons, sensors, terrain and objects, and the battlefield geographical environment; specifically, the physical battlefield includes the battlefield space and all physical entities such as its main combat weapons, fire support weapons, unmanned strike weapons, air reconnaissance equipment, ground reconnaissance equipment, individual soldiers, and combat data centers. The physical battlefield is the bearing environment for coordinated fire strikes, and all information and physical activities are in this space. The information space includes weapon status information from the situation awareness system, battlefield situation information from reconnaissance equipment, decision information from the combat command and control center, database data from the combat data center, combat information, personnel information, and shared information from the real-time communication network.

[0063] In the intelligent decision-making system of this embodiment, the physical battlefield and information space are highly integrated, and the perception and processing of information rely on the physical equipment entities on the battlefield, while the execution of the coordinated firepower strike mission of the physical equipment entities needs to rely on decision-making information. By utilizing the characteristic of the high integration of the physical battlefield and information space of ground combat, a coordinated firepower strike based on intelligent decision-making is realized. The physical battlefield is perceived by the situation awareness system, and the information of the physical space of the ground battlefield is converted into the information space. Then, intelligent decisions are made based on the battlefield information obtained. The fire control system and the weapon system execute the firepower strike mission, and the firepower strike schemes of multiple weapons are coordinated to realize the coordinated firepower strike of weapons and their clusters.

[0064] The present embodiment provides a CPS-based coordinated firepower strike intelligent decision-making system, which is based on battlefield situation awareness information, obtains the optimal coordinated firepower strike decision-making plan through information fusion and processing, and uses corresponding decision-making methods, with the goal of achieving action-type decision optimization for individual weapons. The decision-making process involves a variety of technologies such as uncertain information processing, combination optimization, threat assessment, information fusion, weapon-target allocation, and intelligent optimization calculation. Through these decision-making technologies, decision-making tasks such as reasonable assessment of target threat and reasonable allocation of weapons are completed. Then, the allocation of strike tasks and weapon-target allocation for individual targets is achieved, and finally the intelligent decision-making of coordinated firepower strike is achieved, so as to maximize the combat effectiveness of coordinated firepower strike with the optimal strike plan.

[0065] It should be noted that the above detailed descriptions are exemplary and are intended to provide further explanation of the present application. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by those of ordinary skill in the art to which the present application belongs.

[0066] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit the exemplary embodiments described in the present application. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should also be understood that when the terms "comprise" and / or "include" are used in this specification, it indicates the presence of features, steps, operations, devices, components and / or combinations thereof.

[0067] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the terms used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein.

[0068] In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units that are not explicitly listed or inherent to these processes, methods, products, or apparatuses.

[0069] For ease of description, system-relative terms such as "above", "above", "on the upper surface of", "above", etc. may be used herein to describe the system positional relationship of a device or feature to other devices or features as shown in the figures. It should be understood that system-relative terms are intended to include different orientations of the device in use or operation in addition to the orientation described in the figures. For example, if the device in the drawings is inverted, the device described as "above other devices or structures" or "above other devices or structures" will be positioned as "below other devices or structures" or "below other devices or structures". Thus, the exemplary term "above" may include both "above" and "below". The device may also be positioned in other different ways, such as rotated 90 degrees or in other orientations, and the system-relative descriptions used herein are interpreted accordingly.

[0070] In the above detailed description, reference is made to the accompanying drawings, which form a part of this document. In the accompanying drawings, similar symbols typically identify similar components unless the context indicates otherwise. The illustrated embodiments described in the detailed description, drawings, and claims are not meant to be limiting. Other embodiments may be used, and other changes may be made, without departing from the spirit or scope of the subject matter presented herein.

[0071] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A CPS-based coordinated firepower strike intelligent decision-making method, characterized by: The steps include: Step 1: The combat teams are organized into weapon clusters according to the combat missions issued by the combat command and control center; Step 2: Obtain real-time battlefield situation information through battlefield reconnaissance equipment, situation awareness system and combat data center, and transmit multi-node data to the intelligent decision-making center through real-time communication network; Step 3: The intelligent decision-making center processes the data of each node, forms a preliminary mission decision and transmits it to the combat command and control center for reference by decision makers; Step 4: The decision maker forms the final mission decision based on the combat mission and the preliminary mission decision and sends it to the intelligent decision center through the combat command and control center. The intelligent decision center processes it and distributes it to each weapon cluster. Step 5: Each weapon cluster executes the strike decision-making task; Step 6: When each weapon cluster conducts fire confrontation according to the strike decision task, the situation awareness system perceives the battlefield situation information and transmits the information to the intelligent decision center for processing, calculates the optimal fire strike action decision, and transmits it to the fire control system; Step seven: The fire control system receives the fire strike action decision from the intelligent decision-making center, processes the fire strike action decision and controls each weapon to launch a fire strike on the target; at the same time, re-execute step two until the combat mission is completed.

2. The intelligent decision-making method according to claim 1, characterized in that: In step 2, the method for the situation awareness system to obtain battlefield situation information includes obtaining weapon position information through navigation and positioning sensors, target image information through visible light or infrared image sensors, target distance information through distance sensors, and weapon status information through weapon sensors.

3. The intelligent decision-making method according to claim 1, characterized in that: In step three, the algorithm used by the intelligent decision center to integrate and process the situation information from the situation awareness system, reconnaissance equipment, combat command and control center, and combat data center includes obtaining the target type and status through an image recognition algorithm, obtaining the target position through a positioning algorithm, and processing the personnel evaluation information, combat status information, equipment information, and geographic information from the combat data center to provide a data basis for the formulation of intelligent decisions.

4. The intelligent decision-making method according to claim 1, characterized in that: In step six, the intelligent decision-making center formulates a strike decision through a decision-making calculation method based on cloud computing, a decision-making calculation method based on edge computing, or a decision-making calculation method based on a designated node.

5. A CPS-based coordinated firepower strike intelligent decision-making system, characterized by: It includes an intelligent decision-making center, a fire control system, a weapon system, a situational awareness system, a combat command and control center, a combat data center, reconnaissance equipment and a real-time communication network; the situational awareness system is used to obtain weapons and target information on the battlefield and transmit it to the intelligent decision-making center; The reconnaissance equipment is used to scout battlefield situation information in the air or on the ground and transmit it to the combat data center in real time; the intelligent decision center obtains the optimal coordinated firepower strike decision plan by integrating and processing information from the situation awareness system, reconnaissance equipment, combat command and control center, and combat data center; the combat command and control center is used to receive preliminary task decisions from the intelligent decision center for reference by decision makers, and send the final task decisions made by decision makers to the intelligent decision center; the fire control system is used to receive strike decision tasks from the intelligent decision center, process the strike decision tasks and control the weapon system to strike the target to complete the execution of the strike decision tasks; the combat data center is used to store and update combat data and information from reconnaissance equipment, and provide data support for the combat command and control system and the intelligent decision center; the real-time communication network is used to realize real-time information transmission among the intelligent decision center, fire control system, weapon system, situation awareness system, combat command and control center, combat data center, and reconnaissance equipment.

6. An intelligent decision-making system according to claim 5, characterized in that: The weapon system includes main battle weapons, fire support weapons, unmanned strike weapons, and individual soldiers.

7. An intelligent decision-making system according to claim 5, characterized in that: The situation awareness system includes a number of dispersed sensor nodes and a collection node thereof. The sensor nodes are used to sense the weapon status information of the weapon system, and then send the information to the combat command and control center via the collection node for analysis and processing.

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