Quantitative method for improving command and control effectiveness based on simulation and technology development level

Abstract

The present invention discloses a quantitative method for improving the effectiveness of command and control based on simulation and technological development level, including: establishing a battlefield framework model; setting the combat attributes of our combat units and enemy combat units; running the battlefield framework model; obtaining combat data in real time, including: obtaining the damaged data of our combat units in real time; obtaining the damaged data of enemy combat units in real time; obtaining the action trajectory and distribution of enemy combat units in real time; and calculating our strike accuracy and avoidance success rate; calculating the change range of our strike accuracy and avoidance success rate, obtaining the defense level of our base area, and weighted fusion as the quantitative result. By adopting the above technical solution, by establishing a battlefield framework model and the combat units of both sides of the enemy and us, and through the three indicators of strike accuracy, change range of avoidance success rate and defense level of base area, the degree of improvement of combat under the command and control of the algorithm model can be effectively quantified.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent combat command and control, and in particular to a quantitative method for improving command and control efficiency based on simulation and technology development level. Background Art

[0002] As combat environments and forms become increasingly complex and combat fields are increasingly integrated, countries are actively promoting the application of emerging technologies such as artificial intelligence and autonomous systems in the field of command and control. Algorithm models are based on the input of data and information generated in real time on the battlefield. To a certain extent and in some aspects, compared with human judgments based on battlefield conditions, artificial intelligence can grasp the overall data of the battlefield more effectively and accurately. After precise calculations and overall arrangements, it can make more appropriate command and control instructions, significantly improving overall combat capabilities.

[0003] In situations where it is known that artificial intelligence can improve the command and control of combat operations, there is no clear technical solution in the existing technology to calculate and quantify the degree of improvement, making it difficult to objectively evaluate the advantages of artificial intelligence. At the same time, there is no technical solution to evaluate the degree to which artificial intelligence can improve the command and control of combat operations as technology develops. Summary of the invention

[0004] Purpose of the invention: The present invention aims to provide a method for quantifying the improvement of command and control effectiveness based on simulation and technological development level.

[0005] Technical solution: The present invention provides a method for improving the command and control effectiveness based on simulation and technological development level, including:

[0006] Establishing a battlefield framework model, dividing a plurality of combat areas and base areas in the battlefield framework model, setting terrain and venues for the combat areas, and dividing the base areas into friendly and enemy areas;

[0007] Set the combat attributes of our combat units and enemy combat units, and assign them to corresponding base areas;

[0008] Run the battlefield framework model, identify the combat units in the combat area, and command and control our combat units to conduct operations based on the instructions of the command and control model;

[0009] Quantitative calculation steps:

[0010] Real-time acquisition of combat data, including: real-time acquisition of damage data of our combat units; real-time acquisition of damage data of enemy combat units; real-time acquisition of action trajectories and distribution of enemy combat units;

[0011] Use real-time combat data to train command and control models in real time, continue to command and control our combat units to conduct combat and response, and calculate our strike accuracy and evasion success rate;

[0012] When the number of our or the opponent's effective combat units drops to the minimum combat number, the battlefield framework model will be stopped;

[0013] Calculate the change range of our attack accuracy and evasion success rate, obtain the defense level of our base area, and use the weighted fusion as the first quantitative result;

[0014] Based on the level of technological development, the combat attributes of our combat units and / or enemy combat units are adjusted, and the quantitative calculation steps are repeated to obtain a second quantitative result.

[0015] Specifically, the combat attributes of a combat unit include: the maximum number and weight of weapons carried, strike range, mobility, ability to withstand strikes, and ability to evade strikes.

[0016] Specifically, the number, type and distribution of combat units are identified, and the corresponding combat attributes are obtained based on the type of combat units. The command and control model makes instructions based on the number, combat attributes and distribution of enemy combat units.

[0017] Specifically, based on obtaining the damage data of our combat units, we judge the strike capability of the types of enemy combat units that strike our combat units, and combine the mobility, strike-bearing and strike-avoidance capabilities of our combat units to train the hit probability and damage degree of various types of combat units under strikes of various weapon types in different position relationships; the damage data includes the damaged position, damage degree and strike weapon type; the strike capability includes the strike weapon type, the strike initiation position and strike power.

[0018] Specifically, based on obtaining the damage data of the enemy's combat units and the strike capability and number of strikes of our combat units, we calculate the strike accuracy of our combat units under command and control, and combine the combat attributes of the enemy's combat units to train to improve the strike accuracy of our combat units.

[0019] Specifically, based on obtaining the movement trajectory and distribution of the enemy's combat units, the enemy's attack position on the base area is judged, and training command and control of our combat units to defend the attack position.

[0020] Specifically, successful avoidance means that the damage of the combat unit is in a recoverable state.

[0021] Specifically, an effective combat unit refers to one that has the ability to move or launch strikes under the terrain and venue.

[0022] Specifically, the strike accuracy and avoidance success rate at time points between 20% and 30% and 70% and 80% of the combat time are selected, and the variation range of the strike accuracy and avoidance success rate is calculated.

[0023] Specifically, the variation range between the first quantification result and the second quantification result is calculated as a quantification value of the improvement of command and control by the technology development level.

[0024] Beneficial effects: Compared with the prior art, the present invention has the following significant advantages: by establishing a battlefield framework model and the combat units of both sides, through the three indicators of strike accuracy, change in avoidance success rate and base area defense level, the degree of improvement in combat under the command and control of the algorithm model can be effectively quantified. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 A schematic diagram of the steps of the command and control efficiency improvement quantification method provided by the present invention. DETAILED DESCRIPTION

[0026] The technical solution of the present invention is further described below in conjunction with the accompanying drawings.

[0027] See also Figure 1 , which provides a method for quantifying command and control efficiency improvement based on simulation and technological development level for an embodiment of the present invention.

[0028] Step 1, establish a battlefield framework model, divide a plurality of combat areas and base areas in the battlefield framework model, set the terrain and site of the combat area, and divide the base area into our side and the enemy side.

[0029] In specific implementation, the base area is the initial location of the combat unit and also the attack target of the combat unit. The combat area is the area where the combat unit conducts battles. The terrain and site affect the combat unit's strike accuracy and mobility in combat.

[0030] Step 2, set the combat attributes of our combat units and enemy combat units, and assign our combat units and enemy combat units to corresponding base areas respectively.

[0031] In the embodiment of the present invention, the combat attributes of the combat unit include: the maximum number and weight of weapons carried, the strike range, the mobility, the strike-bearing capability and the strike-avoiding capability.

[0032] In specific implementation, after the combat units are assigned to the corresponding base areas, corresponding combat objectives can also be set for our side and the enemy side. For example, the enemy's combat objective is to strike a certain location in our base area, and our combat objective can be to carry out corresponding defense.

[0033] In the specific implementation, after completing steps 1 and 2, the preliminary model has been established and can be run.

[0034] Step 3: Run the battlefield framework model, identify the combat units in the combat area, and command and control our combat units to conduct operations based on the instructions of the command and control model.

[0035] In an embodiment of the present invention, the number, type and distribution position of combat units are identified, corresponding combat attributes are obtained based on the type of combat units, and the command and control model makes instructions according to the number, combat attributes and distribution position of enemy combat units.

[0036] In specific implementation, the command and control model can be constructed based on an artificial neural network algorithm. When the battlefield framework model is initially run, since the command and control model does not collect too much battlefield conditions and data, command and control is mainly carried out based on the number, type, combat attributes and distribution locations of combat objectives and combat units.

[0037] The quantitative calculation step includes steps 4 to 7.

[0038] Step 4, real-time acquisition of combat data, including: real-time acquisition of damage data of our combat units; real-time acquisition of damage data of enemy combat units; real-time acquisition of action trajectories and distribution of enemy combat units;

[0039] In an embodiment of the present invention, based on obtaining the damage data of our combat units, the strike capability of the types of enemy combat units that strike our combat units is judged, and combined with the mobility, strike-bearing and strike-avoidance capabilities of our combat units, the hit probability and damage degree of various types of combat units under strikes of various weapon types in different position relationships are trained; the damage data includes the damaged position, the damage degree and the type of striking weapon; the strike capability includes the type of striking weapon, the position where the strike is initiated and the strike power.

[0040] In specific implementation, by obtaining the damage data of our combat units, we can determine the relevant capabilities of the enemy combat units that launched the attack on us. Therefore, through the training and learning of the algorithm model, we can find the plan with the highest possibility of avoidance under command and control, or the plan that remains an effective combat unit even when it is under attack, thereby minimizing our losses.

[0041] In the embodiment of the present invention, based on obtaining the damage data of the enemy's combat units and the strike capability and number of strikes of our combat units, the strike accuracy of our combat units under command and control is calculated, and combined with the combat attributes of the enemy's combat units, training is performed to improve the strike accuracy of our combat units.

[0042] In the specific implementation, while specifying our avoidance plan, we also need to improve the strike accuracy of our combat units accordingly, thereby enhancing our combat capability.

[0043] In the embodiment of the present invention, based on obtaining the movement trajectory and distribution of the enemy's combat units, the enemy's strike position on the base area is determined, and training command and control of our combat units to defend the strike position.

[0044] In the specific implementation, since the enemy's combat goal is to launch an attack on our base area, the enemy's actual attack target can be judged by the enemy's movement trajectory and distribution. Since the combat target is an extremely important part of the operation, it is necessary to achieve our combat goal or attack the enemy's combat goal. It is the principle of combat command and control. Under this principle, control our combat units to defend, that is, to concentrate on attacking the enemy combat units that attack our base area, with the goal of attacking the enemy combat units to lose the ability to attack our base area.

[0045] Step 5: Use the combat data acquired in real time to train the command and control model in real time, continue to command and control our combat units to fight and respond, and calculate our strike accuracy and avoidance success rate.

[0046] In the embodiment of the present invention, successful avoidance means that the damage level of the combat unit is in a recoverable state.

[0047] In specific implementation, the command and control model can collect battlefield data in real time and conduct training and learning based on it, thereby optimizing our strike accuracy and avoidance success rate while achieving combat objectives.

[0048] Step 6: When the number of our or the opponent's effective combat units drops to the minimum combat number, stop the operation of the battlefield framework model.

[0049] In the embodiment of the present invention, an effective combat unit refers to a unit that has the ability to move or launch an attack under the terrain and venue.

[0050] In specific implementation, mobility refers to movement beyond a certain distance. When the number of effective combat units of one side is reduced to the minimum combat number, it indicates that the side has basically lost its combat capability. At this time, the total duration of the simulated combat can be calculated, that is, the combat time.

[0051] Step 7, calculate the change range of our attack accuracy and avoidance success rate, obtain the defense level of our base area, and use the weighted fusion as the first quantitative result.

[0052] In a specific implementation, the weights may be set accordingly according to the actual situation, and may be set to one third for all three.

[0053] In the embodiment of the present invention, the strike accuracy and avoidance success rate at time points between 20% and 30% and 70% and 80% of the combat time are selected to calculate the variation range of the strike accuracy and avoidance success rate.

[0054] In specific implementation, since the fighting is most intense in the middle stage of the operation, the most battlefield data is collected in this period, and the improvement of the model is the highest. In the initial stage of the operation, less data is collected. In the final stage of the operation, the combat situation is basically determined, and the improvement of command and control no longer has much effect. Therefore, the time points in the 20% to 30% and 70% to 80% time periods of the combat time are the most valuable for reference.

[0055] Step 8, based on the level of technological development, adjust the combat attributes of our combat units and / or enemy combat units, repeat the quantitative calculation steps, and calculate to obtain the second quantitative result.

[0056] In specific implementation, we can adjust only our combat units or adjust the combat attributes of both sides' combat units at the same time. This can determine the impact of the improvement of the combat attributes of the combat units on command and control after the development of technology level, compared with before the improvement.

Claims

1. A method for quantifying command and control effectiveness based on simulation and technology development level, characterized in that: include: Establishing a battlefield framework model, dividing a plurality of combat areas and base areas in the battlefield framework model, setting terrain and venues for the combat areas, and dividing the base areas into friendly and enemy areas; Set the combat attributes of our combat units and enemy combat units, and assign our combat units and enemy combat units to corresponding base areas respectively; Run the battlefield framework model, identify the combat units in the combat area, and command and control our combat units to conduct operations based on the instructions of the command and control model; Quantitative calculation steps: Real-time acquisition of combat data, including: real-time acquisition of damage data of our combat units; real-time acquisition of damage data of enemy combat units; real-time acquisition of action trajectories and distribution of enemy combat units; Use real-time combat data to train command and control models in real time, continue to command and control our combat units to conduct combat and response, and calculate our strike accuracy and evasion success rate; When the number of our or the opponent's effective combat units drops to the minimum combat number, the battlefield framework model will be stopped; Calculate the change range of our attack accuracy and evasion success rate, obtain the defense level of our base area, and use the weighted fusion as the first quantitative result; Based on the level of technological development, the combat attributes of our combat units and / or enemy combat units are adjusted, and the quantitative calculation steps are repeated to obtain a second quantitative result.

2. The method for improving command and control effectiveness based on simulation and technological development level according to claim 1 is characterized in that: The combat attributes of combat units include: maximum number and weight of weapons carried, strike range, mobility, ability to withstand strikes, and ability to dodge strikes.

3. The method for improving command and control effectiveness based on simulation and technological development level according to claim 2 is characterized in that: The combat units identifying the combat area include: Identify the number, type and distribution of combat units, obtain the corresponding combat attributes based on the type of combat units, and the command and control model makes instructions based on the number, combat attributes and distribution of enemy combat units.

4. The method for improving command and control effectiveness based on simulation and technological development level according to claim 3 is characterized in that: The real-time training of the command and control model using the combat data acquired in real time includes: Based on obtaining the damage data of our combat units, we judge the strike capability of the types of enemy combat units that attack our combat units, and combine the mobility, strike-bearing and strike-avoidance capabilities of our combat units to train the hit probability and damage degree of various types of combat units under attacks of various weapon types in different position relationships; the damage data includes the damaged position, damage degree and strike weapon type; the strike capability includes the strike weapon type, the strike initiation position and the strike power.

5. The method for improving command and control effectiveness based on simulation and technological development level according to claim 4 is characterized in that: The real-time training of the command and control model using the combat data acquired in real time includes: Based on the damage data of the enemy's combat units and the strike capability and number of strikes of our combat units, we calculate the strike accuracy of our combat units under command and control. Combined with the combat attributes of the enemy's combat units, we train to improve the strike accuracy of our combat units.

6. The method for improving command and control effectiveness based on simulation and technological development level according to claim 5 is characterized in that: The real-time training of the command and control model using the combat data acquired in real time includes: Based on obtaining the movement trajectory and distribution of the enemy's combat units, we judge the enemy's attack position on the base area, and train and command our combat units to defend the attack position.

7. The method for improving command and control effectiveness based on simulation and technological development level according to claim 6 is characterized in that: Successful avoidance means that the damage of the combat unit is in a recoverable state.

8. The method for improving command and control effectiveness based on simulation and technological development level according to claim 7 is characterized in that: An effective combat unit is one that has the ability to move or launch strikes under the terrain and venue.

9. The method for improving command and control effectiveness based on simulation and technological development level according to claim 8 is characterized in that: The calculation of the change range of our attack accuracy and avoidance success rate includes: The strike accuracy and evasion success rate at time points between 20% and 30% and 70% and 80% of the combat time were selected, and the changes in the strike accuracy and evasion success rate were calculated.

10. The method for improving command and control effectiveness based on simulation and technological development level according to claim 9 is characterized in that: The variation between the first quantitative result and the second quantitative result is calculated as the quantitative value of the improvement of command and control by the technological development level.

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