Rapid matching selection method for electric-thermal collaborative strategy
By acquiring and processing real-time combat data, establishing equipment threat models, and performing electronic firepower coordination matching, the problem of insufficient reliance on actual combat data in existing technologies has been solved. This has enabled accurate assessment of equipment threat levels and efficient allocation of electronic firepower resources, thereby improving combat effectiveness.
Patent Information
- Application Number
- CN202511851123.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-10
- Publication Date
- 2026-02-24
AI Technical Summary
Existing technologies lack real-time reliance on combat data when assessing the electromagnetic situation, making it difficult to adapt to complex combat environments. Furthermore, they lack assessment of equipment threats beyond situational awareness, resulting in equipment threat level indicators being designed with equipment performance as the primary dimension, making it difficult to achieve a reasonable allocation of electronic firepower resources.
Raw data is acquired through sensing units, converted into tagged data, threat level indicators are designed, a hierarchical structure model of equipment threat level is established, threat levels are ranked using the analytic hierarchy process, and electronic and firepower coordination is achieved by combining firepower platform capabilities.
By constructing a common threat level model for multiple types of equipment in a real combat environment, the platform can autonomously select combat targets and coordinate electronic and firepower, thereby improving the accuracy and efficiency of combat effectiveness.
Smart Images
Figure CN121563138A_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the field of combat strategy, and specifically relates to a method for rapid matching and selection of electronic-fire coordination strategies. Background Technology
[0002] With the deepening of system-of-systems warfare and the gradual popularization of electromagnetic fire coordination, the electromagnetic situation is becoming increasingly complex, significantly increasing the difficulty of assessing combat effectiveness. Some scenarios require facing multiple threats, including early warning and air defense fire. Against this backdrop, ranking equipment threat levels has become a crucial step in evaluating the rationality of fire resource allocation.
[0003] Currently, experts and scholars have conducted a lot of research on equipment threat levels, such as using the analytic hierarchy process (AHP) or fuzzy comprehensive evaluation method for assessment. However, these methods focus on simulation and extrapolation in the electromagnetic domain, and the threat level index design is biased towards equipment performance dimensions. They lack real-time reliance on actual combat data and lack threat assessment of equipment beyond situational awareness, making it difficult to adapt to real combat environments. Summary of the Invention
[0004] This invention proposes a rapid matching and selection method for electric-fire coordination strategies. Addressing the electric-fire coordination problem, it generates target threat levels by combining acquired real-time combat data, and achieves rapid electric-fire coordination based on strategies under different missions and the specific capabilities of firepower platforms.
[0005] The technical solution for achieving this invention is: a rapid matching and selection method for electric-fire coordination strategy, which quickly converts enemy target information into threat level, and achieves electric-fire matching through coordinated planning between threat level and firepower platforms, thereby achieving electric-fire coordination. The specific steps are as follows:
[0006] Step 1: Obtain the raw data of the information domain and physical domain through the sensing unit and convert it into tag data.
[0007] Step 2: Design threat level indicators based on tag data and establish a hierarchical structure model of equipment threat level.
[0008] Step 3: Based on the equipment threat level hierarchy model, the threat levels are ranked using the analytic hierarchy process for different strategies under different missions.
[0009] Step 4: Achieve rapid matching of electric and fire coordination through collaborative planning between threat level and fire platform.
[0010] Step 5: Implement counter-attacks based on the results of the electric-fire coordination matching.
[0011] Compared with the prior art, the significant advantages of this invention are:
[0012] (1) Construct a hierarchical threat level model for multiple types of equipment based on the real combat environment.
[0013] (2) Combine platform combat capabilities and threat levels to achieve autonomous selection of platform combat objectives in electronic and fire-coordinated operations. Attached Figure Description
[0014] Figure 1 A flowchart for quickly matching and selecting electric-fire coordination strategies.
[0015] Figure 2 Diagram of the target threat system.
[0016] Figure 3 Flowchart of the target threat ranking algorithm. Detailed Implementation
[0017] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.
[0018] The following section will further introduce the specific implementation method, as well as the technical difficulties and inventive points of this invention, using this design example as an example.
[0019] Combination Figure 2 Today's combat environment is complex and diverse, with a wide variety of combat equipment. Sensing equipment and firepower weapons are the two most common types of targets in combat. A general target threat system model is constructed based on the characteristics of these two types of targets. The deployment platforms include land-based, vehicle-mounted, and drone-based systems. Their threat level is influenced by tactical strategies. When the strategy is to focus on striking key nodes, land-based platforms pose the greatest threat; when the strategy is to attack all hostile targets, drone platforms with strong close-range capabilities pose the greatest threat. Mobility represents maneuverability, with higher mobility resulting in higher scores. Equipment uses are divided into sensing and attack categories. When the tactical strategy prioritizes firepower, attack-type equipment poses a greater threat; when the tactical strategy aims to eliminate enemy situational awareness, sensing-type equipment poses a greater threat. The closer the relative distance, the higher the score. Operating states include tracking (aiming), searching, and standby, with threat levels decreasing in that order. Operating accuracy represents the precision of detection or attack, with higher precision resulting in higher scores. The farther the operating distance, the higher the score.
[0020] This invention provides a method for rapid matching and selection of electronic fire coordination strategies. Addressing the problem of electronic fire coordination, it generates target threat levels by combining acquired real-time combat data, and achieves rapid electronic fire coordination based on strategies under different missions and the specific capabilities of fire platforms.
[0021] Combination Figure 1 and Figure 3The present invention provides a fast matching and selection method for an electric-fire coordination strategy, comprising the following steps:
[0022] Step 1: Obtain the raw data of the information domain and physical domain through the sensing unit and convert it into tag data.
[0023] Step 2: Design threat level indicators based on tag data and establish a target threat system model.
[0024] Step 3: Based on the target threat system model, use the analytic hierarchy process (AHP) to rank the threat levels for different strategies under different tasks.
[0025] Step 3-1: Establish a multi-target threat index decision matrix A based on the target threat system model;
[0026] Step 3-2: Calculate the largest eigenvalue λ of the multi-target threat index decision matrix A. max ;
[0027] Step 3-3: Given a decision matrix of order P, calculate the consistency index (CI) of the decision matrix. The formula is as follows:
[0028] ,
[0029] Step 3-4: Compare the obtained CI with the average random consistency index RI to obtain CR. If CR < 0.1, the decision matrix has satisfactory consistency, then proceed to step 3-5; otherwise, if consistency is not achieved, return to step 3-1 to adjust the decision matrix. RI is related to the order of the decision matrix and can be obtained by looking up a table. The formula for calculating CR is:
[0030] ,
[0031] Steps 3-5: Solve for the eigenvector corresponding to the largest eigenvalue and normalize it into the threat index weight vector W;
[0032] Steps 3-6: The normalized target threat index values V for different targets are weighted and summed with their corresponding index weights to obtain the comprehensive threat value E. The larger the comprehensive value, the higher the target threat level. A threat level ranking sequence is then obtained. The formula for calculating E is:
[0033] E=VW,
[0034] Step 4: Achieve rapid matching of electronic and firepower coordination through coordinated planning between threat level and firepower platform. The matching principle is to prioritize the use of firepower platforms with high strike accuracy to counter targets with high threat level, striving for rapid and accurate elimination.
[0035] Step 5: Implement counter-attacks based on the results of the electric-fire coordination matching.
Claims
1. A method for rapid matching and selection of electric-fire coordination strategies, characterized in that: Enemy target information is quickly converted into threat level, and electronic fire matching is achieved through coordinated planning between threat level and firepower platforms, thus achieving electronic fire coordination.
2. The method for rapid matching and selection of electric-fire coordination strategies according to claim 1, characterized in that, The specific steps are as follows: Step 1: Obtain the raw data of the information domain and physical domain through the sensing unit and convert it into tag data; Step 2: Design threat level indicators based on tag data and establish a hierarchical structure model of equipment threat level; Step 3: Based on the equipment threat level hierarchy model, the threat levels are ranked using the analytic hierarchy process for different strategies under different missions. Step 4: Achieve rapid matching of electrical and fire coordination through collaborative planning between threat level and firepower platforms; Step 5: Implement counter-attacks based on the results of the electric-fire coordination matching.
3. The method for rapid matching and selection of electric-fire coordination strategies according to claim 2, characterized in that: In step 2, a threat hierarchy model is constructed using key parameters of perception and firepower equipment for threat calculation.
4. The method for rapid matching and selection of an electric-fire coordination strategy according to claim 2, characterized in that: In step 3, the parameter weights are dynamically adjusted according to the different tasks and strategies to calculate the threat level.
5. The method for rapid matching and selection of electric-fire coordination strategies according to claim 4, characterized in that, Step 3 is detailed as follows: Step 3-1: Establish a multi-target threat index decision matrix A based on the target threat system model; Step 3-2: Calculate the largest eigenvalue λ of the multi-target threat index decision matrix A. max ; Step 3-3: Calculate the consistency index CI of the decision matrix, given that the order of the decision matrix is P. ， Step 3-4: Compare the obtained CI with the average random consistency index RI to obtain CR. If CR < 0.1, the decision matrix has satisfactory consistency, then proceed to step 3-5; otherwise, if consistency is not achieved, return to step 3-1 to adjust the decision matrix. RI is related to the order of the decision matrix, which can be obtained by looking up a table. ， Steps 3-5: Solve for the eigenvector corresponding to the largest eigenvalue and normalize it into the threat index weight vector W; Steps 3-6: The normalized target threat index values V for different targets are weighted and summed with their corresponding index weights to obtain the comprehensive threat value E. The larger the comprehensive value, the higher the target threat level. A threat level ranking sequence is then obtained. The formula for calculating E is: E=VW.
6. The method for rapid matching and selection of electric-fire coordination strategies according to claim 2, characterized in that: In step 4, the threat level of the platform and the target is quickly matched based on the strike accuracy of the firepower platform.