A method, system and medium for coordinating unmanned aerial vehicle clusters and ground armored systems

Abstract

The present application provides a method, system and medium for the coordination of a drone cluster and a ground armor system. The method includes: obtaining drone cluster information and ground armor system information, establishing a communication connection, obtaining and processing communication test data, determining the communication connection status, and if the communication connection is normal, obtaining combat mission information, assigning combat missions to the drone cluster and the ground armor system, implementing coordinated combat between the drone cluster and the ground armor system based on the combat mission, obtaining and processing real-time combat data, obtaining a coordinated combat effectiveness index, and finally performing a threshold comparison, and adjusting the combat mission according to the comparison result; the present application evaluates the communication connection status between the drone cluster and the ground armor system, implements combat mission allocation according to the combat mission, realizes the effective coordination of drones and ground armor, and further realizes the intelligent adjustment of coordinated combat by evaluating the effectiveness of coordinated combat, thereby improving combat effectiveness.

Description

Technical Field

[0001] The present application relates to the field of communication and automatic control technology, and more specifically, to a method, system and medium for coordination between a drone cluster and a ground armored system. Background Art

[0002] In modern warfare, drone swarms and ground armored systems each have unique advantages and limitations. Drone swarms have the characteristics of high mobility, wide-area reconnaissance capability and low risk, but are relatively weak in firepower and protection capability. Ground armored systems have strong firepower and protection capability, but have certain limitations in reconnaissance range and mobility. Therefore, coordinating operations between drone swarms and ground armored systems can give full play to the advantages of both and improve overall combat effectiveness. However, there are currently problems such as communication connections being easily interfered with, coordinated command relying heavily on experience, and untimely response to battlefield changes. How to achieve reliable and effective coordination between drone swarms and ground armored systems is an issue that needs to be addressed urgently.

[0003] In view of the above problems, effective technical solutions are urgently needed. Summary of the invention

[0004] The purpose of this application is to provide a method, system and medium for the coordination of UAV swarms and ground armored systems. The method can evaluate the communication connection status between the UAV swarms and the ground armored systems, implement combat mission allocation according to combat missions, thereby achieving effective coordination between UAVs and ground armored systems, and further achieve intelligent adjustment of coordinated operations by evaluating the effectiveness of coordinated operations, thereby improving combat effectiveness.

[0005] The present application also provides a method for coordinating a drone cluster with a ground armor system, comprising the following steps:

[0006] Obtain UAV cluster information and ground armor system information, establish communication connections, obtain and process communication test data, and determine the communication connection status;

[0007] If the communication connection is normal, the combat mission information is obtained, and combat missions are assigned to the UAV cluster and the ground armored system based on the communication connection. The combat missions include reconnaissance missions, relay communication missions or attack missions.

[0008] Implement coordinated combat between drone clusters and ground armored systems based on combat missions, obtain and process real-time combat data, and obtain a coordinated combat effectiveness index;

[0009] The collaborative combat effectiveness index is compared with a preset combat effectiveness threshold, and the combat mission is adjusted according to the comparison result.

[0010] Optionally, in the method for coordinating a drone cluster and a ground armor system described in the present application, the acquiring of drone cluster information and ground armor system information, establishing a communication connection, acquiring and processing communication test data, and determining a communication connection state include:

[0011] Obtain information about the drone cluster and ground armor system, and establish a communication connection based on the preset communication method;

[0012] Obtain communication test data, including signal strength data, transmission data, anti-interference data and reliability data;

[0013] Processing the transmission data, anti-interference data and reliability data respectively to obtain a communication link performance index, an anti-interference performance index and a communication reliability index;

[0014] Processing the communication link performance index, the anti-interference performance index and the communication reliability index in combination with the signal strength data to obtain a communication connection evaluation index;

[0015] Performing a threshold comparison between the communication connection evaluation index and a preset communication connection evaluation threshold;

[0016] If it is greater than the preset communication connection evaluation threshold, the communication connection status is normal;

[0017] If it is less than or equal to the preset communication connection evaluation threshold, the communication connection state is an abnormal state.

[0018] Optionally, in the method for coordinating a drone cluster and a ground armored system described in the present application, the transmission data, the anti-interference data, and the reliability data are processed respectively to obtain a communication link performance index, an anti-interference performance index, and a communication reliability index, including:

[0019] The transmission data includes transmission rate, packet loss rate and signal delay data;

[0020] Inputting the transmission rate, packet loss rate and signal delay data into a preset communication link performance evaluation model for processing to obtain a communication link performance index;

[0021] The anti-interference data includes a signal strength drop rate and a data transmission error rate;

[0022] Inputting the signal strength drop rate and the data transmission error rate into a preset anti-interference performance evaluation model for processing to obtain an anti-interference performance index;

[0023] The reliability data includes the number of failures within a preset time period and the corresponding recovery time data;

[0024] The failure number value and the recovery time data are input into a preset communication reliability evaluation model for processing to obtain a communication reliability index.

[0025] Optionally, in the UAV cluster and ground armored system collaboration method described in the present application, the processing according to the communication link performance index, the anti-interference performance index and the communication reliability index in combination with the signal strength data to obtain the communication connection evaluation index includes:

[0026] Inputting the communication link performance index, the anti-interference performance index and the communication reliability index as well as the signal strength data into a preset communication connection evaluation model for processing to obtain a communication connection evaluation index;

[0027] The communication connection evaluation index calculation formula is:

[0028] ;

[0029] in, is the communication connection evaluation index, , , , They are communication link performance index, anti-interference performance index, communication reliability index and signal strength data, , is the preset characteristic coefficient.

[0030] Optionally, in the method for coordinating the drone swarm and the ground armored system described in the present application, the steps of implementing the coordinated combat of the drone swarm and the ground armored system based on the combat mission, acquiring and processing the real-time combat data, and obtaining the coordinated combat effectiveness index include:

[0031] The drone cluster conducts reconnaissance according to the reconnaissance mission, obtains reconnaissance information, and forms a relay communication platform according to the relay communication mission;

[0032] The reconnaissance information is transmitted to the command system through the relay communication platform and the communication connection for analysis to obtain the attack mission;

[0033] The drone swarm and ground armored system carry out coordinated attacks according to the attack mission;

[0034] Obtain real-time combat data, including combat goal achievement assessment data, coordination and cooperation assessment data, and combat resource utilization data;

[0035] The operational target achievement evaluation data, the coordination and cooperation evaluation data, and the operational resource utilization rate data are processed respectively to obtain an operational target achievement evaluation index, a coordination and cooperation evaluation index, and an operational resource utilization rate index;

[0036] The coordinated combat effectiveness index is obtained by processing the operational target achievement evaluation index, the coordination and cooperation evaluation index and the operational resource utilization index.

[0037] Optionally, in the UAV swarm and ground armored system coordination method described in the present application, the combat target achievement evaluation data, the coordination and cooperation evaluation data, and the combat resource utilization rate data are processed respectively to obtain a combat target achievement evaluation index, a coordination and cooperation evaluation index, and a combat resource utilization rate index, including:

[0038] The combat goal achievement evaluation data include the number of destroyed targets, the number of occupied targets and the occupied area rate;

[0039] Inputting the number of destroyed targets, the number of occupied targets and the occupied area rate into a preset combat target achievement evaluation model for processing to obtain a combat target achievement evaluation index;

[0040] The coordination evaluation data includes the action time deviation mean and the tactical execution synchronization rate;

[0041] Inputting the action time deviation mean and the tactical execution synchronization rate into a preset coordination evaluation model for processing to obtain a coordination evaluation index;

[0042] The combat resource utilization rate data includes fuel consumption rate, ammunition consumption rate and electricity consumption rate;

[0043] The fuel consumption rate, ammunition consumption rate and electricity consumption rate are input into a preset combat resource utilization evaluation model for processing to obtain a combat resource utilization index.

[0044] Optionally, in the method for coordinating a drone swarm and a ground armored system described in the present application, the step of comparing the coordinated combat effectiveness index with a preset combat effectiveness threshold and adjusting the combat mission according to the comparison result includes:

[0045] Comparing the collaborative combat effectiveness index with a preset standard collaborative combat effectiveness index to obtain a collaborative combat effectiveness deviation relative value;

[0046] Comparing the relative value of the collaborative combat effectiveness deviation with a preset collaborative combat effectiveness deviation threshold;

[0047] If it is less than or equal to the collaborative combat effectiveness deviation threshold, an operational mission adjustment warning is output;

[0048] If it is greater than the collaborative combat effectiveness deviation threshold, no adjustment will be made.

[0049] In a second aspect, the present application provides a drone swarm and ground armor system coordination system, the system comprising: a memory and a processor, the memory comprising a program of a drone swarm and ground armor system coordination method, the program of the drone swarm and ground armor system coordination method being executed by the processor to implement the following steps:

[0050] Obtain UAV cluster information and ground armor system information, establish communication connections, obtain and process communication test data, and determine the communication connection status;

[0051] If the communication connection is normal, the combat mission information is obtained, and combat missions are assigned to the UAV cluster and the ground armored system based on the communication connection. The combat missions include reconnaissance missions, relay communication missions or attack missions.

[0052] Implement coordinated combat between drone clusters and ground armored systems based on combat missions, obtain and process real-time combat data, and obtain a coordinated combat effectiveness index;

[0053] The collaborative combat effectiveness index is compared with a preset combat effectiveness threshold, and the combat mission is adjusted according to the comparison result.

[0054] Optionally, in the UAV cluster and ground armor system collaborative system described in the present application, the acquiring of UAV cluster information and ground armor system information, establishing a communication connection, acquiring and processing communication test data, and determining a communication connection state include:

[0055] Obtain information about the drone cluster and ground armor system, and establish a communication connection based on the preset communication method;

[0056] Obtain communication test data, including signal strength data, transmission data, anti-interference data and reliability data;

[0057] Processing the transmission data, anti-interference data and reliability data respectively to obtain a communication link performance index, an anti-interference performance index and a communication reliability index;

[0058] Processing the communication link performance index, the anti-interference performance index and the communication reliability index in combination with the signal strength data to obtain a communication connection evaluation index;

[0059] Performing a threshold comparison between the communication connection evaluation index and a preset communication connection evaluation threshold;

[0060] If it is greater than the preset communication connection evaluation threshold, the communication connection status is normal;

[0061] If it is less than or equal to the preset communication connection evaluation threshold, the communication connection state is an abnormal state.

[0062] In a third aspect, the present application also provides a computer-readable storage medium, which stores a program for a method for coordinating a drone swarm and a ground armored system. When the program for the method for coordinating a drone swarm and a ground armored system is executed by a processor, the steps of the method for coordinating a drone swarm and a ground armored system as described in any one of the above items are implemented.

[0063] From the above, it can be seen that the present application provides a method, system and medium for coordination between a drone cluster and a ground armored system. By evaluating the communication connection status between the drone cluster and the ground armored system and implementing combat task allocation according to combat tasks, effective coordination between drones and ground armor is achieved. By evaluating the effectiveness of coordinated combat, intelligent adjustment of coordinated combat is further achieved, thereby improving combat effectiveness.

[0064] Other features and advantages of the present application will be described in the following description, and partly become apparent from the description, or understood by practicing the embodiments of the present application. The purpose and other advantages of the present application can be realized and obtained by the structures specifically pointed out in the written description and the drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments of the present application will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0066] Figure 1 A flow chart of a method for coordinating a drone cluster and a ground armor system provided in an embodiment of the present application;

[0067] Figure 2 A flowchart of obtaining a communication connection status of a method for coordinating a drone cluster and a ground armored system provided in an embodiment of the present application;

[0068] Figure 3 A flow chart of obtaining a collaborative combat effectiveness index for a method of coordinating a drone swarm and a ground armored system provided in an embodiment of the present application. DETAILED DESCRIPTION

[0069] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. The components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present application.

[0070] It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. At the same time, in the description of this application, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0071] Please refer to Figure 1 , Figure 1 The flowchart of the method for coordinating a drone swarm and a ground armor system in some embodiments of the present application. The method for coordinating a drone swarm and a ground armor system is used in a terminal device, such as a computer, a mobile phone terminal, etc. The method for coordinating a drone swarm and a ground armor system includes the following steps:

[0072] S11, obtaining the UAV cluster information and the ground armor system information, and establishing a communication connection, obtaining and processing the communication test data, and determining the communication connection status;

[0073] S12. If the communication connection is normal, obtain combat mission information, and assign combat missions to the UAV cluster and the ground armored system based on the communication connection, where the combat missions include reconnaissance missions, relay communication missions, or attack missions;

[0074] S13. Implement coordinated combat between drone clusters and ground armored systems based on combat missions, obtain and process real-time combat data, and obtain a coordinated combat effectiveness index;

[0075] S14. Compare the collaborative combat effectiveness index with a preset combat effectiveness threshold, and adjust the combat mission according to the comparison result.

[0076] It should be noted that in order to achieve effective coordination between UAV swarms and ground armored systems, a reliable communication connection should be established first. By obtaining and processing communication test data, the communication connection status should be determined to achieve real-time communication. Combat tasks should be allocated based on the advantages of UAVs and ground armor. Based on the combat tasks, the coordinated combat of UAV swarms and ground armored systems should be enabled, and real-time combat data should be obtained for processing to obtain a coordinated combat effectiveness index for evaluating the coordinated effect. Finally, the coordinated combat effect should be determined through threshold comparison, and it should be determined whether the combat task allocation strategy needs to be adjusted based on the coordinated combat effect.

[0077] Please refer to Figure 2 , Figure 2 The flowchart of the method for obtaining the communication connection status of the UAV cluster and the ground armor system collaboration in some embodiments of the present application is as follows. According to the embodiment of the present invention, the acquisition of the UAV cluster information and the ground armor system information, and the establishment of the communication connection, the acquisition of the communication test data and the processing, and the determination of the communication connection status include:

[0078] S21, obtaining the UAV cluster information and the ground armor system information, and establishing a communication connection according to a preset communication method;

[0079] S22. Acquire communication test data, including signal strength data, transmission data, anti-interference data, and reliability data;

[0080] S23, processing the transmission data, anti-interference data and reliability data respectively to obtain a communication link performance index, an anti-interference performance index and a communication reliability index;

[0081] S24, processing the communication link performance index, the anti-interference performance index and the communication reliability index in combination with the signal strength data to obtain a communication connection evaluation index;

[0082] S25, performing a threshold comparison between the communication connection evaluation index and a preset communication connection evaluation threshold;

[0083] S26. If it is greater than the preset communication connection evaluation threshold, the communication connection state is normal;

[0084] S27: If it is less than or equal to the preset communication connection evaluation threshold, the communication connection state is an abnormal state.

[0085] It should be noted that in order to evaluate the communication connection status between the UAV cluster and the ground armored system, after the communication connection is established, the communication test data including signal strength data, transmission data, anti-interference data and reliability data are obtained through the preset signal strength measurement device, and the transmission data, anti-interference data and reliability data are analyzed and processed respectively to obtain the communication link performance index, the anti-interference performance index and the communication reliability index, and then the communication strength data is processed to obtain the communication connection evaluation index, and finally the threshold is compared with the preset communication connection evaluation threshold. In this embodiment, the preset communication connection evaluation threshold is set to (0, 0.85], (0.85, 1], corresponding to the abnormal state and the normal state, respectively. If the obtained communication connection evaluation index is 0.8, it corresponds to the abnormal state, and the communication connection between the UAV cluster and the ground armored system needs to be adjusted. If the obtained communication connection evaluation index is 0.9, it corresponds to the normal state, indicating that the communication connection between the UAV cluster and the ground armored system is effective and reliable.

[0086] According to an embodiment of the present invention, the transmission data, the anti-interference data and the reliability data are processed respectively to obtain a communication link performance index, an anti-interference performance index and a communication reliability index, including:

[0087] The transmission data includes transmission rate, packet loss rate and signal delay data;

[0088] Inputting the transmission rate, packet loss rate and signal delay data into a preset communication link performance evaluation model for processing to obtain a communication link performance index;

[0089] The anti-interference data includes a signal strength drop rate and a data transmission error rate;

[0090] Inputting the signal strength drop rate and the data transmission error rate into a preset anti-interference performance evaluation model for processing to obtain an anti-interference performance index;

[0091] The reliability data includes the number of failures within a preset time period and the corresponding recovery time data;

[0092] The failure number value and the recovery time data are input into a preset communication reliability evaluation model for processing to obtain a communication reliability index.

[0093] It should be noted that in order to accurately obtain the communication connection evaluation index, the acquired transmission data, anti-interference data and reliability data are processed respectively to obtain the communication link performance index, anti-interference performance index and communication reliability index;

[0094] Among them, transmission data refers to the communication transmission data collected during the real-time communication between the UAV cluster and the ground armored system, including transmission rate, packet loss rate and signal delay data. The transmission rate, packet loss rate and signal delay data are input into the preset communication link performance evaluation model for processing to obtain the communication link performance index;

[0095] The calculation formula of the communication link performance index in the communication link performance evaluation model is:

[0096] ;

[0097] in, is the communication link performance index, , , They are transmission rate, packet loss rate and signal delay data respectively. , , The preset characteristic coefficient (the characteristic coefficient is obtained by querying the UAV cluster and ground armor system collaborative platform);

[0098] Anti-interference data refers to the communication change data after a certain interference is applied during the real-time communication between the UAV cluster and the ground armored system, such as electromagnetic interference, noise interference, etc., to test the anti-interference ability of the communication link, including the signal strength drop rate and the data transmission error rate. The signal strength drop rate and the data transmission error rate are input into the preset anti-interference performance evaluation model for processing to obtain the anti-interference performance index;

[0099] The calculation formula of the anti-interference performance index in the preset anti-interference performance evaluation model is:

[0100] ;

[0101] in, is the anti-interference performance index, , are the signal strength drop rate and data transmission error rate, respectively. The preset characteristic coefficient (the characteristic coefficient is obtained by querying the UAV cluster and ground armor system collaborative platform);

[0102] Reliability data is data that evaluates the communication stability of the UAV cluster and the ground armored system within a preset time period, including the number of failures and the corresponding recovery time data. The number of failures and the recovery time data are input into the preset communication reliability evaluation model for processing to obtain the communication reliability index;

[0103] The calculation formula of the communication reliability index in the communication reliability evaluation model is:

[0104] ;

[0105] in, is the communication reliability index, , They are the number of failures and the recovery time data, It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the UAV cluster and ground armor system collaborative platform).

[0106] According to an embodiment of the present invention, the processing according to the communication link performance index, the anti-interference performance index and the communication reliability index in combination with the signal strength data to obtain a communication connection evaluation index includes:

[0107] Inputting the communication link performance index, the anti-interference performance index and the communication reliability index as well as the signal strength data into a preset communication connection evaluation model for processing to obtain a communication connection evaluation index;

[0108] The communication connection evaluation index calculation formula is:

[0109] ;

[0110] in, is the communication connection evaluation index, , , , They are communication link performance index, anti-interference performance index, communication reliability index and signal strength data, , is the preset characteristic coefficient.

[0111] It should be noted that in order to comprehensively evaluate the communication connection evaluation index, the obtained communication link performance index, anti-interference performance index and communication reliability index are combined with the signal strength data and input into the preset communication connection evaluation model for processing to obtain the communication connection evaluation index, which is used to evaluate the communication connection status of the UAV cluster and the ground armored system.

[0112] Please refer to Figure 3 , Figure 3 The flowchart of the method for obtaining the coordinated combat effectiveness index of the UAV cluster and the ground armored system in some embodiments of the present application is as follows. According to the embodiment of the present invention, the method for implementing the coordinated combat of the UAV cluster and the ground armored system based on the combat mission, obtaining the real-time combat data and processing it, and obtaining the coordinated combat effectiveness index includes:

[0113] S31. The drone cluster conducts reconnaissance according to the reconnaissance mission, obtains reconnaissance information, and establishes a relay communication platform according to the relay communication mission;

[0114] S32, transmitting the reconnaissance information to the command system through the relay communication platform and the communication connection for analysis to obtain an attack mission;

[0115] S33, drone swarms and ground armored systems conduct coordinated attacks based on attack missions;

[0116] S34. Obtain real-time combat data, including combat goal achievement assessment data, coordination and cooperation assessment data, and combat resource utilization data;

[0117] S35, respectively processing the operational target achievement evaluation data, the coordination and cooperation evaluation data, and the operational resource utilization rate data to obtain an operational target achievement evaluation index, a coordination and cooperation evaluation index, and an operational resource utilization rate index;

[0118] S36. Processing is performed according to the operational target achievement evaluation index, the coordination and cooperation evaluation index and the operational resource utilization index to obtain a coordinated operational effectiveness index.

[0119] It should be noted that after the UAV cluster establishes a communication connection with the ground armored system, if the communication connection is evaluated to be normal, the respective combat tasks will continue to be assigned according to the combat tasks and the advantages of the UAVs and ground armor. For example, the UAV is assigned a reconnaissance task to obtain reconnaissance information, and a relay communication task is assigned to strengthen the communication connection between the UAV and the ground armor. The command system analyzes the reconnaissance information and then assigns different attack tasks to the UAV and the ground armor to implement coordinated attacks and coordinated operations. In addition, real-time combat data including combat target achievement evaluation data, coordination and cooperation evaluation data, and combat resource utilization data are obtained through preset reconnaissance equipment or sensors. The combat target achievement evaluation data, coordination and cooperation evaluation data, and combat resource utilization data are processed separately to obtain the combat target achievement evaluation index, coordination and cooperation evaluation index, and combat resource utilization index. After comprehensive processing, the coordinated combat effectiveness index is obtained, which is used to evaluate the coordinated combat effect of the UAV cluster and the ground armored system, and adjust the combat task allocation according to the coordinated combat effect.

[0120] According to an embodiment of the present invention, the operational target achievement evaluation data, the coordination and cooperation evaluation data, and the operational resource utilization rate data are processed respectively to obtain an operational target achievement evaluation index, a coordination and cooperation evaluation index, and an operational resource utilization rate index, including:

[0121] The combat goal achievement evaluation data include the number of destroyed targets, the number of occupied targets and the occupied area rate;

[0122] Inputting the number of destroyed targets, the number of occupied targets and the occupied area rate into a preset combat target achievement evaluation model for processing to obtain a combat target achievement evaluation index;

[0123] The coordination evaluation data includes the action time deviation mean and the tactical execution synchronization rate;

[0124] Inputting the action time deviation mean and the tactical execution synchronization rate into a preset coordination evaluation model for processing to obtain a coordination evaluation index;

[0125] The combat resource utilization rate data includes fuel consumption rate, ammunition consumption rate and electricity consumption rate;

[0126] The fuel consumption rate, ammunition consumption rate and electricity consumption rate are input into a preset combat resource utilization evaluation model for processing to obtain a combat resource utilization index.

[0127] It should be noted that in order to accurately obtain the coordinated combat effectiveness index, the obtained combat target achievement evaluation data, coordination evaluation data and combat resource utilization data are first processed respectively to obtain the combat target achievement evaluation index, coordination evaluation index and combat resource utilization index; among them, the combat target achievement evaluation data includes the number of destroyed targets, the number of occupied targets and the occupied area rate. The occupied area rate refers to the ratio of our occupied area after coordinated combat to the enemy's original occupied area. The number of destroyed targets, the number of occupied targets and the occupied area rate are input into the preset combat target achievement evaluation model for processing to obtain the combat target achievement evaluation index. Among them, the combat target achievement evaluation model is obtained by obtaining a large number of historical samples of the number of destroyed targets, the number of occupied targets and the occupied area rate and the corresponding combat target achievement evaluation index training; the coordination evaluation data includes the mean action time deviation and the tactical execution synchronization rate. Among them, the mean action time deviation refers to the synchronization rate between multiple drones and ground The mean time deviation of the actual armored action. The tactical execution synchronization rate refers to the ratio of the number of times the UAV and ground armor complete the predetermined tactical actions to the total number of times. For example, in ten outflanking actions, eight times can be synchronized, then 8 / 10=0.8 is the tactical execution synchronization rate. The mean action time deviation and the tactical execution synchronization rate are input into the preset coordination evaluation model for processing to obtain the coordination evaluation index, wherein the coordination evaluation model is obtained by training with the mean action time deviation and tactical execution synchronization rate of a large number of historical samples and the corresponding coordination evaluation index; the combat resource utilization data includes fuel consumption rate, ammunition consumption rate and power consumption rate. The fuel consumption rate, ammunition consumption rate and power consumption rate are input into the preset combat resource utilization evaluation model for processing to obtain the combat resource utilization index, wherein the combat resource utilization evaluation model is obtained by training with the fuel consumption rate, ammunition consumption rate and power consumption rate of a large number of historical samples and the corresponding combat resource utilization index.

[0128] According to an embodiment of the present invention, the step of comparing the collaborative combat effectiveness index with a preset combat effectiveness threshold and adjusting the combat task according to the comparison result includes:

[0129] Comparing the collaborative combat effectiveness index with a preset standard collaborative combat effectiveness index to obtain a collaborative combat effectiveness deviation relative value;

[0130] Comparing the relative value of the collaborative combat effectiveness deviation with a preset collaborative combat effectiveness deviation threshold;

[0131] If it is less than or equal to the collaborative combat effectiveness deviation threshold, an operational mission adjustment warning is output;

[0132] If it is greater than the collaborative combat effectiveness deviation threshold, no adjustment will be made.

[0133] It should be noted that the obtained collaborative combat effectiveness index is compared with the preset standard collaborative combat effectiveness index to obtain the collaborative combat effectiveness deviation relative value. For example, the collaborative combat effectiveness index is 8.5, and the preset standard collaborative combat effectiveness index is 10, then 8.5 / 10=0.85 is the collaborative combat effectiveness deviation relative value, and then the threshold is compared with the preset collaborative combat effectiveness deviation threshold. In this embodiment, the preset collaborative combat effectiveness deviation threshold is set to (0, 0.9], (0.9, 1]. If the obtained collaborative combat effectiveness deviation relative value is 0.85, it means that the collaborative combat effect is insufficient, and then the combat task adjustment warning is output. If the obtained collaborative combat effectiveness deviation relative value is 0.95, it means that the collaborative combat effect is good and no adjustment is required.

[0134] It is worth mentioning that, according to an embodiment of the present invention, the processing according to the operational target achievement evaluation index, the coordination and cooperation evaluation index and the operational resource utilization index to obtain the coordinated operational effectiveness index includes:

[0135] According to the degree of achievement of combat objectives, degree of coordination and cooperation, and utilization rate of combat resources, the preset weight value list is queried to obtain the corresponding combat objective weight value, coordination weight value, and resource utilization weight value;

[0136] The combat objective achievement evaluation index, the coordination and cooperation evaluation index and the combat resource utilization index are respectively multiplied by the combat objective weight value, the coordination weight value and the resource utilization weight value and accumulated to obtain the coordinated combat effectiveness index.

[0137] It should be noted that when evaluating the coordinated combat effectiveness index, the weights of combat goal achievement, coordination and cooperation, and combat resource utilization are different. Therefore, first query the preset weight value list, which is pre-set by the combat commander and dynamically adjusted; multiply the weight value of the combat goal achievement by the combat goal achievement evaluation index, the weight value of the coordination and cooperation by the coordination and cooperation evaluation index, and the weight value of the combat resource utilization by the combat resource utilization index. After completion, add them up to obtain the coordinated combat effectiveness index; for example, the weight value of the combat goal achievement is 6, and the combat goal achievement evaluation index is 0.8; the weight value of the coordination and cooperation is 3, and the coordination and cooperation evaluation index is 0.7; the weight value of the combat resource utilization is 1, and the combat resource utilization index is 0.6; then 6*0.8+3*0.7+1*0.6=7.5 is the coordinated combat effectiveness index.

[0138] The present invention also discloses a UAV cluster and ground armor system coordination system, comprising a memory and a processor, wherein the memory comprises a UAV cluster and ground armor system coordination method program, and when the UAV cluster and ground armor system coordination method program is executed by the processor, the following steps are implemented:

[0139] Obtain UAV cluster information and ground armor system information, establish communication connections, obtain and process communication test data, and determine the communication connection status;

[0140] If the communication connection is normal, the combat mission information is obtained, and combat missions are assigned to the UAV cluster and the ground armored system based on the communication connection. The combat missions include reconnaissance missions, relay communication missions or attack missions.

[0141] Implement coordinated combat between drone clusters and ground armored systems based on combat missions, obtain and process real-time combat data, and obtain a coordinated combat effectiveness index;

[0142] The collaborative combat effectiveness index is compared with a preset combat effectiveness threshold, and the combat mission is adjusted according to the comparison result.

[0143] It should be noted that in order to achieve effective coordination between UAV swarms and ground armored systems, a reliable communication connection should be established first. By obtaining and processing communication test data, the communication connection status should be determined to achieve real-time communication. Combat tasks should be allocated based on the advantages of UAVs and ground armor. Based on the combat tasks, the coordinated combat of UAV swarms and ground armored systems should be enabled, and real-time combat data should be obtained for processing to obtain a coordinated combat effectiveness index for evaluating the coordinated effect. Finally, the coordinated combat effect should be determined through threshold comparison, and it should be determined whether the combat task allocation strategy needs to be adjusted based on the coordinated combat effect.

[0144] According to an embodiment of the present invention, the acquiring of drone cluster information and ground armor system information, establishing a communication connection, acquiring and processing communication test data, and determining a communication connection state include:

[0145] Obtain information about the drone cluster and ground armor system, and establish a communication connection based on the preset communication method;

[0146] Obtain communication test data, including signal strength data, transmission data, anti-interference data and reliability data;

[0147] Processing the transmission data, anti-interference data and reliability data respectively to obtain a communication link performance index, an anti-interference performance index and a communication reliability index;

[0148] Processing the communication link performance index, the anti-interference performance index and the communication reliability index in combination with the signal strength data to obtain a communication connection evaluation index;

[0149] Performing a threshold comparison between the communication connection evaluation index and a preset communication connection evaluation threshold;

[0150] If it is greater than the preset communication connection evaluation threshold, the communication connection status is normal;

[0151] If it is less than or equal to the preset communication connection evaluation threshold, the communication connection state is an abnormal state.

[0152] It should be noted that in order to evaluate the communication connection status between the UAV cluster and the ground armored system, after the communication connection is established, the communication test data including signal strength data, transmission data, anti-interference data and reliability data are obtained through the preset signal strength measurement device, and the transmission data, anti-interference data and reliability data are analyzed and processed respectively to obtain the communication link performance index, the anti-interference performance index and the communication reliability index, and then the communication strength data is processed to obtain the communication connection evaluation index, and finally the threshold is compared with the preset communication connection evaluation threshold. In this embodiment, the preset communication connection evaluation threshold is set to (0, 0.85], (0.85, 1], corresponding to the abnormal state and the normal state, respectively. If the obtained communication connection evaluation index is 0.8, it corresponds to the abnormal state, and the communication connection between the UAV cluster and the ground armored system needs to be adjusted. If the obtained communication connection evaluation index is 0.9, it corresponds to the normal state, indicating that the communication connection between the UAV cluster and the ground armored system is effective and reliable.

[0153] According to an embodiment of the present invention, the transmission data, the anti-interference data and the reliability data are processed respectively to obtain a communication link performance index, an anti-interference performance index and a communication reliability index, including:

[0154] The transmission data includes transmission rate, packet loss rate and signal delay data;

[0155] Inputting the transmission rate, packet loss rate and signal delay data into a preset communication link performance evaluation model for processing to obtain a communication link performance index;

[0156] The anti-interference data includes a signal strength drop rate and a data transmission error rate;

[0157] Inputting the signal strength drop rate and the data transmission error rate into a preset anti-interference performance evaluation model for processing to obtain an anti-interference performance index;

[0158] The reliability data includes the number of failures within a preset time period and the corresponding recovery time data;

[0159] The failure number value and the recovery time data are input into a preset communication reliability evaluation model for processing to obtain a communication reliability index.

[0160] It should be noted that in order to accurately obtain the communication connection evaluation index, the acquired transmission data, anti-interference data and reliability data are processed respectively to obtain the communication link performance index, anti-interference performance index and communication reliability index;

[0161] Among them, transmission data refers to the communication transmission data collected during the real-time communication between the UAV cluster and the ground armored system, including transmission rate, packet loss rate and signal delay data. The transmission rate, packet loss rate and signal delay data are input into the preset communication link performance evaluation model for processing to obtain the communication link performance index;

[0162] The calculation formula of the communication link performance index in the communication link performance evaluation model is:

[0163] ;

[0164] in, is the communication link performance index, , , They are transmission rate, packet loss rate and signal delay data respectively. , , The preset characteristic coefficient (the characteristic coefficient is obtained by querying the UAV cluster and ground armor system collaborative platform);

[0165] Anti-interference data refers to the communication change data after a certain interference is applied during the real-time communication between the UAV cluster and the ground armored system, such as electromagnetic interference, noise interference, etc., to test the anti-interference ability of the communication link, including the signal strength drop rate and the data transmission error rate. The signal strength drop rate and the data transmission error rate are input into the preset anti-interference performance evaluation model for processing to obtain the anti-interference performance index;

[0166] The calculation formula of the anti-interference performance index in the preset anti-interference performance evaluation model is:

[0167] ;

[0168] in, is the anti-interference performance index, , are the signal strength drop rate and data transmission error rate, respectively. The preset characteristic coefficient (the characteristic coefficient is obtained by querying the UAV cluster and ground armor system collaborative platform);

[0169] Reliability data is data that evaluates the communication stability of the UAV cluster and the ground armored system within a preset time period, including the number of failures and the corresponding recovery time data. The number of failures and the recovery time data are input into the preset communication reliability evaluation model for processing to obtain the communication reliability index;

[0170] The calculation formula of the communication reliability index in the communication reliability evaluation model is:

[0171] ;

[0172] in, is the communication reliability index, , They are the number of failures and the recovery time data, It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the UAV cluster and ground armor system collaborative platform).

[0173] According to an embodiment of the present invention, the processing according to the communication link performance index, the anti-interference performance index and the communication reliability index in combination with the signal strength data to obtain a communication connection evaluation index includes:

[0174] Inputting the communication link performance index, the anti-interference performance index and the communication reliability index as well as the signal strength data into a preset communication connection evaluation model for processing to obtain a communication connection evaluation index;

[0175] The communication connection evaluation index calculation formula is:

[0176] ;

[0177] in, is the communication connection evaluation index, , , , They are communication link performance index, anti-interference performance index, communication reliability index and signal strength data, , is the preset characteristic coefficient.

[0178] It should be noted that in order to comprehensively evaluate the communication connection evaluation index, the obtained communication link performance index, anti-interference performance index and communication reliability index are combined with the signal strength data and input into the preset communication connection evaluation model for processing to obtain the communication connection evaluation index, which is used to evaluate the communication connection status of the UAV cluster and the ground armored system.

[0179] According to an embodiment of the present invention, the implementation of coordinated combat between the drone cluster and the ground armored system based on combat missions, acquiring and processing real-time combat data, and obtaining a coordinated combat effectiveness index include:

[0180] The drone cluster conducts reconnaissance according to the reconnaissance mission, obtains reconnaissance information, and forms a relay communication platform according to the relay communication mission;

[0181] The reconnaissance information is transmitted to the command system through the relay communication platform and the communication connection for analysis to obtain the attack mission;

[0182] The drone swarm and ground armored system carry out coordinated attacks according to the attack mission;

[0183] Obtain real-time combat data, including combat goal achievement assessment data, coordination and cooperation assessment data, and combat resource utilization data;

[0184] The operational target achievement evaluation data, the coordination and cooperation evaluation data, and the operational resource utilization rate data are processed respectively to obtain an operational target achievement evaluation index, a coordination and cooperation evaluation index, and an operational resource utilization rate index;

[0185] The coordinated combat effectiveness index is obtained by processing the operational target achievement evaluation index, the coordination and cooperation evaluation index and the operational resource utilization index.

[0186] It should be noted that after the UAV cluster establishes a communication connection with the ground armored system, if the communication connection is evaluated to be normal, the respective combat tasks will continue to be assigned according to the combat tasks and the advantages of the UAVs and ground armor. For example, the UAV is assigned a reconnaissance task to obtain reconnaissance information, and a relay communication task is assigned to strengthen the communication connection between the UAV and the ground armor. The command system analyzes the reconnaissance information and then assigns different attack tasks to the UAV and the ground armor to implement coordinated attacks and coordinated operations. In addition, real-time combat data including combat target achievement evaluation data, coordination and cooperation evaluation data, and combat resource utilization data are obtained through preset reconnaissance equipment or sensors. The combat target achievement evaluation data, coordination and cooperation evaluation data, and combat resource utilization data are processed separately to obtain the combat target achievement evaluation index, coordination and cooperation evaluation index, and combat resource utilization index. After comprehensive processing, the coordinated combat effectiveness index is obtained, which is used to evaluate the coordinated combat effect of the UAV cluster and the ground armored system, and adjust the combat task allocation according to the coordinated combat effect.

[0187] According to an embodiment of the present invention, the operational target achievement evaluation data, the coordination and cooperation evaluation data, and the operational resource utilization rate data are processed respectively to obtain an operational target achievement evaluation index, a coordination and cooperation evaluation index, and an operational resource utilization rate index, including:

[0188] The combat goal achievement evaluation data include the number of destroyed targets, the number of occupied targets and the occupied area rate;

[0189] Inputting the number of destroyed targets, the number of occupied targets and the occupied area rate into a preset combat target achievement evaluation model for processing to obtain a combat target achievement evaluation index;

[0190] The coordination evaluation data includes the action time deviation mean and the tactical execution synchronization rate;

[0191] Inputting the action time deviation mean and the tactical execution synchronization rate into a preset coordination evaluation model for processing to obtain a coordination evaluation index;

[0192] The combat resource utilization rate data includes fuel consumption rate, ammunition consumption rate and electricity consumption rate;

[0193] The fuel consumption rate, ammunition consumption rate and electricity consumption rate are input into a preset combat resource utilization evaluation model for processing to obtain a combat resource utilization index.

[0194] It should be noted that in order to accurately obtain the coordinated combat effectiveness index, the obtained combat target achievement evaluation data, coordination evaluation data and combat resource utilization data are first processed respectively to obtain the combat target achievement evaluation index, coordination evaluation index and combat resource utilization index; among them, the combat target achievement evaluation data includes the number of destroyed targets, the number of occupied targets and the occupied area rate. The occupied area rate refers to the ratio of our occupied area after coordinated combat to the enemy's original occupied area. The number of destroyed targets, the number of occupied targets and the occupied area rate are input into the preset combat target achievement evaluation model for processing to obtain the combat target achievement evaluation index. Among them, the combat target achievement evaluation model is obtained by obtaining a large number of historical samples of the number of destroyed targets, the number of occupied targets and the occupied area rate and the corresponding combat target achievement evaluation index training; the coordination evaluation data includes the mean action time deviation and the tactical execution synchronization rate. Among them, the mean action time deviation refers to the synchronization rate between multiple drones and ground The mean time deviation of the actual armored action. The tactical execution synchronization rate refers to the ratio of the number of times the UAV and ground armor complete the predetermined tactical actions to the total number of times. For example, in ten outflanking actions, eight times can be synchronized, then 8 / 10=0.8 is the tactical execution synchronization rate. The mean action time deviation and the tactical execution synchronization rate are input into the preset coordination evaluation model for processing to obtain the coordination evaluation index, wherein the coordination evaluation model is obtained by training with the mean action time deviation and tactical execution synchronization rate of a large number of historical samples and the corresponding coordination evaluation index; the combat resource utilization data includes fuel consumption rate, ammunition consumption rate and power consumption rate. The fuel consumption rate, ammunition consumption rate and power consumption rate are input into the preset combat resource utilization evaluation model for processing to obtain the combat resource utilization index, wherein the combat resource utilization evaluation model is obtained by training with the fuel consumption rate, ammunition consumption rate and power consumption rate of a large number of historical samples and the corresponding combat resource utilization index.

[0195] According to an embodiment of the present invention, the step of comparing the collaborative combat effectiveness index with a preset combat effectiveness threshold and adjusting the combat task according to the comparison result includes:

[0196] Comparing the collaborative combat effectiveness index with a preset standard collaborative combat effectiveness index to obtain a collaborative combat effectiveness deviation relative value;

[0197] Comparing the relative value of the collaborative combat effectiveness deviation with a preset collaborative combat effectiveness deviation threshold;

[0198] If it is less than or equal to the collaborative combat effectiveness deviation threshold, an operational mission adjustment warning is output;

[0199] If it is greater than the collaborative combat effectiveness deviation threshold, no adjustment will be made.

[0200] It should be noted that the obtained collaborative combat effectiveness index is compared with the preset standard collaborative combat effectiveness index to obtain the collaborative combat effectiveness deviation relative value. For example, the collaborative combat effectiveness index is 8.5, and the preset standard collaborative combat effectiveness index is 10, then 8.5 / 10=0.85 is the collaborative combat effectiveness deviation relative value, and then the threshold is compared with the preset collaborative combat effectiveness deviation threshold. In this embodiment, the preset collaborative combat effectiveness deviation threshold is set to (0, 0.9], (0.9, 1]. If the obtained collaborative combat effectiveness deviation relative value is 0.85, it means that the collaborative combat effect is insufficient, and then the combat task adjustment warning is output. If the obtained collaborative combat effectiveness deviation relative value is 0.95, it means that the collaborative combat effect is good and no adjustment is required.

[0201] It is worth mentioning that, according to an embodiment of the present invention, the processing according to the operational target achievement evaluation index, the coordination and cooperation evaluation index and the operational resource utilization index to obtain the coordinated operational effectiveness index includes:

[0202] According to the degree of achievement of combat objectives, degree of coordination and cooperation, and utilization rate of combat resources, the preset weight value list is queried to obtain the corresponding combat objective weight value, coordination weight value, and resource utilization weight value;

[0203] The combat objective achievement evaluation index, the coordination and cooperation evaluation index and the combat resource utilization index are respectively multiplied by the combat objective weight value, the coordination weight value and the resource utilization weight value and accumulated to obtain the coordinated combat effectiveness index.

[0204] It should be noted that when evaluating the coordinated combat effectiveness index, the weights of combat goal achievement, coordination and cooperation, and combat resource utilization are different. Therefore, first query the preset weight value list, which is pre-set by the combat commander and dynamically adjusted; multiply the weight value of the combat goal achievement by the combat goal achievement evaluation index, the weight value of the coordination and cooperation by the coordination and cooperation evaluation index, and the weight value of the combat resource utilization by the combat resource utilization index. After completion, add them up to obtain the coordinated combat effectiveness index; for example, the weight value of the combat goal achievement is 6, and the combat goal achievement evaluation index is 0.8; the weight value of the coordination and cooperation is 3, and the coordination and cooperation evaluation index is 0.7; the weight value of the combat resource utilization is 1, and the combat resource utilization index is 0.6; then 6*0.8+3*0.7+1*0.6=7.5 is the coordinated combat effectiveness index.

[0205] A third aspect of the present invention provides a readable storage medium, which stores a program for a method for coordinating a drone swarm and a ground armored system. When the program for the method for coordinating a drone swarm and a ground armored system is executed by a processor, the steps of the method for coordinating a drone swarm and a ground armored system as described in any one of the above items are implemented.

[0206] The present invention discloses a method, system and medium for coordinating a swarm of unmanned aerial vehicles and a ground armored system. By evaluating the communication connection status between the swarm of unmanned aerial vehicles and the ground armored system and allocating combat tasks according to combat tasks, effective coordination between the unmanned aerial vehicles and the ground armored system is achieved. Furthermore, by evaluating the effectiveness of coordinated combat, intelligent adjustment of coordinated combat is further achieved, thereby improving combat effectiveness.

[0207] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0208] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0209] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0210] Those skilled in the art can understand that: all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions, the aforementioned program can be stored in a readable storage medium, and when the program is executed, it executes the steps of the above method embodiments; and the aforementioned storage medium includes: mobile storage devices, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), disks or optical disks, and other media that can store program codes.

[0211] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the prior art. The software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROM, RAM, magnetic disks or optical disks.

Claims

1. A method for coordinating a drone cluster with a ground armored system, characterized in that: The following steps are involved: Obtain UAV cluster information and ground armor system information, establish communication connections, obtain and process communication test data, and determine the communication connection status; If the communication connection is normal, the combat mission information is obtained, and combat missions are assigned to the UAV cluster and the ground armored system based on the communication connection. The combat missions include reconnaissance missions, relay communication missions or attack missions. Implement coordinated combat between drone clusters and ground armored systems based on combat missions, obtain and process real-time combat data, and obtain a coordinated combat effectiveness index; Comparing the collaborative combat effectiveness index with a preset combat effectiveness threshold, and adjusting the combat mission according to the comparison result; The obtaining of the UAV cluster information and the ground armor system information, establishing a communication connection, obtaining and processing the communication test data, and determining the communication connection status include: Obtain information about the drone cluster and ground armor system, and establish a communication connection based on the preset communication method; Obtain communication test data, including signal strength data, transmission data, anti-interference data and reliability data; Processing the transmission data, anti-interference data and reliability data respectively to obtain a communication link performance index, an anti-interference performance index and a communication reliability index; Processing the communication link performance index, the anti-interference performance index and the communication reliability index in combination with the signal strength data to obtain a communication connection evaluation index; Performing a threshold comparison between the communication connection evaluation index and a preset communication connection evaluation threshold; If it is greater than the preset communication connection evaluation threshold, the communication connection status is normal; If it is less than or equal to the preset communication connection evaluation threshold, the communication connection state is abnormal; The transmission data, anti-interference data and reliability data are processed respectively to obtain a communication link performance index, an anti-interference performance index and a communication reliability index, including: The transmission data includes transmission rate, packet loss rate and signal delay data; Inputting the transmission rate, packet loss rate and signal delay data into a preset communication link performance evaluation model for processing to obtain a communication link performance index; The anti-interference data includes a signal strength drop rate and a data transmission error rate; Inputting the signal strength drop rate and the data transmission error rate into a preset anti-interference performance evaluation model for processing to obtain an anti-interference performance index; The reliability data includes the number of failures within a preset time period and the corresponding recovery time data; Inputting the failure number value and the recovery time data into a preset communication reliability evaluation model for processing to obtain a communication reliability index; The processing according to the communication link performance index, the anti-interference performance index and the communication reliability index combined with the signal strength data to obtain a communication connection evaluation index includes: Inputting the communication link performance index, the anti-interference performance index and the communication reliability index as well as the signal strength data into a preset communication connection evaluation model for processing to obtain a communication connection evaluation index; The communication connection evaluation index calculation formula is: ； in, is the communication connection evaluation index, , , , They are communication link performance index, anti-interference performance index, communication reliability index and signal strength data, , is the preset characteristic coefficient.

2. The method for coordinating UAV clusters and ground armored systems according to claim 1, characterized in that: The coordinated combat between the drone cluster and the ground armored system based on the combat mission, the acquisition and processing of real-time combat data, and the acquisition of the coordinated combat effectiveness index include: The drone cluster conducts reconnaissance according to the reconnaissance mission, obtains reconnaissance information, and forms a relay communication platform according to the relay communication mission; The reconnaissance information is transmitted to the command system through the relay communication platform and the communication connection for analysis to obtain the attack mission; The drone swarm and ground armored system carry out coordinated attacks according to the attack mission; Obtain real-time combat data, including combat goal achievement assessment data, coordination and cooperation assessment data, and combat resource utilization data; The operational target achievement evaluation data, the coordination and cooperation evaluation data, and the operational resource utilization rate data are processed respectively to obtain an operational target achievement evaluation index, a coordination and cooperation evaluation index, and an operational resource utilization rate index; The coordinated combat effectiveness index is obtained by processing the operational target achievement evaluation index, the coordination and cooperation evaluation index and the operational resource utilization index.

3. The method for coordinating UAV clusters and ground armored systems according to claim 2, characterized in that: The operational target achievement evaluation data, the coordination and cooperation evaluation data, and the operational resource utilization rate data are processed respectively to obtain an operational target achievement evaluation index, a coordination and cooperation evaluation index, and an operational resource utilization rate index, including: The combat goal achievement evaluation data include the number of destroyed targets, the number of occupied targets and the occupied area rate; Inputting the number of destroyed targets, the number of occupied targets and the occupied area rate into a preset combat target achievement evaluation model for processing to obtain a combat target achievement evaluation index; The coordination evaluation data includes the action time deviation mean and the tactical execution synchronization rate; Inputting the action time deviation mean and the tactical execution synchronization rate into a preset coordination evaluation model for processing to obtain a coordination evaluation index; The combat resource utilization rate data includes fuel consumption rate, ammunition consumption rate and electricity consumption rate; The fuel consumption rate, ammunition consumption rate and electricity consumption rate are input into a preset combat resource utilization evaluation model for processing to obtain a combat resource utilization index.

4. The method for coordinating UAV clusters and ground armored systems according to claim 3, characterized in that: The step of comparing the coordinated combat effectiveness index with a preset combat effectiveness threshold and adjusting the combat mission according to the comparison result includes: Comparing the collaborative combat effectiveness index with a preset standard collaborative combat effectiveness index to obtain a collaborative combat effectiveness deviation relative value; Performing a threshold comparison between the collaborative combat effectiveness deviation relative value and a preset collaborative combat effectiveness deviation threshold; If it is less than or equal to the collaborative combat effectiveness deviation threshold, an operational mission adjustment warning is output; If it is greater than the collaborative combat effectiveness deviation threshold, no adjustment will be made.

5. A UAV cluster and ground armor system coordination system, characterized in that: The system comprises a memory and a processor, wherein the memory comprises a program of a method for coordinating a swarm of unmanned aerial vehicles and a ground armored system, and when the program of the method for coordinating a swarm of unmanned aerial vehicles and a ground armored system is executed by the processor, the following steps are implemented: Obtain UAV cluster information and ground armor system information, establish communication connections, obtain and process communication test data, and determine the communication connection status; If the communication connection is normal, the combat mission information is obtained, and combat missions are assigned to the UAV cluster and the ground armored system based on the communication connection. The combat missions include reconnaissance missions, relay communication missions or attack missions. Implement coordinated combat between drone clusters and ground armored systems based on combat missions, obtain and process real-time combat data, and obtain a coordinated combat effectiveness index; Comparing the collaborative combat effectiveness index with a preset combat effectiveness threshold, and adjusting the combat mission according to the comparison result; The obtaining of the UAV cluster information and the ground armor system information, establishing a communication connection, obtaining and processing the communication test data, and determining the communication connection status include: Obtain information about the drone cluster and ground armor system, and establish a communication connection based on the preset communication method; Obtain communication test data, including signal strength data, transmission data, anti-interference data and reliability data; Processing the transmission data, anti-interference data and reliability data respectively to obtain a communication link performance index, an anti-interference performance index and a communication reliability index; Processing the communication link performance index, the anti-interference performance index and the communication reliability index in combination with the signal strength data to obtain a communication connection evaluation index; Performing a threshold comparison between the communication connection evaluation index and a preset communication connection evaluation threshold; If it is greater than the preset communication connection evaluation threshold, the communication connection status is normal; If it is less than or equal to the preset communication connection evaluation threshold, the communication connection state is abnormal; The transmission data, anti-interference data and reliability data are processed respectively to obtain a communication link performance index, an anti-interference performance index and a communication reliability index, including: The transmission data includes transmission rate, packet loss rate and signal delay data; Inputting the transmission rate, packet loss rate and signal delay data into a preset communication link performance evaluation model for processing to obtain a communication link performance index; The anti-interference data includes a signal strength drop rate and a data transmission error rate; Inputting the signal strength drop rate and the data transmission error rate into a preset anti-interference performance evaluation model for processing to obtain an anti-interference performance index; The reliability data includes the number of failures within a preset time period and the corresponding recovery time data; Inputting the failure number value and the recovery time data into a preset communication reliability evaluation model for processing to obtain a communication reliability index; The processing according to the communication link performance index, the anti-interference performance index and the communication reliability index combined with the signal strength data to obtain a communication connection evaluation index includes: Inputting the communication link performance index, the anti-interference performance index and the communication reliability index as well as the signal strength data into a preset communication connection evaluation model for processing to obtain a communication connection evaluation index; The communication connection evaluation index calculation formula is: ； in, is the communication connection evaluation index, , , , They are communication link performance index, anti-interference performance index, communication reliability index and signal strength data, , is the preset characteristic coefficient.

6. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a drone swarm and ground armor system collaboration program. When the drone swarm and ground armor system collaboration program is executed by a processor, the steps of the drone swarm and ground armor system collaboration method as described in any one of claims 1 to 4 are implemented.

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