An equipment characteristic-based countermeasure simulation training adjudication model classification method

Abstract

A classification method for adjudication models in adversarial simulation training based on equipment characteristics includes the following steps: Step 1: The attacking force's command post sends attack command data to the attack equipment model; Step 2: The adjudication calculation center selects the necessary data from the attack command data sent by the attacking force's command post to the attack equipment model and the data of the target's own equipment; Step 3: Receive the equipment type data of the target being adjudicated and distinguish whether it is a cooperative adjudication; if it is a cooperative adjudication, proceed to Step 4; if it is a non-cooperative adjudication, proceed to Step 5; Step 4: In cooperative adjudication, receive the support characteristic information and maintenance characteristic information of the attacking and attacked forces and distinguish between information support adjudication and maintenance support adjudication; Step 5: In non-cooperative adjudication, receive the perception characteristics, soft damage characteristics, and hard damage characteristics of both parties and distinguish between perception adjudication, soft damage adjudication, and hard damage adjudication; Step 6: According to the adjudication type, distinguish whether to perform precise adjudication calculation on the target equipment or the target's own equipment.

Description

Technical Field

[0001] This invention relates to the field of simulation command training system technology, specifically to a classification method for adversarial simulation training adjudication models based on equipment characteristics. Background Technology

[0002] With the continuous increase in the types of weapons and equipment in my country, the types of interactions between weapons on the battlefield are also increasing. Timely highlighting of the combat effectiveness of various newly developed weapons and equipment is of great military forward-looking significance. For some weapons interactions on the battlefield, the combat scenarios are complex and the combat logic involves interaction with the target. It is difficult to build field tests for non-cooperative targets. Therefore, it is necessary to build an adversarial simulation training system to simulate the entire process of adjudication and calculation results of the interaction between equipment and target.

[0003] Current adversarial simulation training systems typically calculate interaction adjudication for both equipment and targets. However, in real-world environments, some information is only available to the target, and some is only available to the equipment. Therefore, performing full-process information acquisition for both equipment and target and obtaining accurate adjudication results from both significantly deviates from real-world interactions, greatly reducing the confidence level of the simulation system. Thus, developing a method to logically categorize and classify real equipment-target interactions to improve the consistency of adjudication calculations with real-world situations is a pressing issue. Summary of the Invention

[0004] The purpose of this invention is to provide a model classification method for an adversarial simulation training system based on equipment characteristics. This method allocates data of both sides in the simulation adversarial process according to rules and assigns calculation equipment to the adversarial calculation, which is more in line with the actual battlefield situation and effectively improves the realism of the adversarial adversarial simulation results.

[0005] To achieve the above-mentioned objectives, this invention provides a classification method for adversarial simulation training adjudication models based on equipment characteristics, the method comprising:

[0006] Step 1: The attacking force's command post sends attack command data to the attack equipment;

[0007] Step 2: The adjudication calculation center selects the necessary data from the strike command data sent from the striker's command post to the strike equipment model and the target's own equipment data;

[0008] Step 3: Receive the equipment type data of the target being attacked and determine whether it is a cooperative decision; if it is a cooperative decision, proceed to step 4; if it is a non-cooperative decision, proceed to step 5.

[0009] Step 4: In the cooperative adjudication, receive support feature information and maintenance feature information from both the attacking and attacked parties, and distinguish between information support adjudication and maintenance support adjudication;

[0010] Step 5: In non-cooperative adjudication, receive the perceived characteristics, soft damage characteristics, and hard damage characteristics of both parties, and distinguish between perceived adjudication, soft damage adjudication, and hard damage adjudication;

[0011] Step 6: Based on the type of adjudication, perform precise adjudication calculations on either the target equipment or your own equipment.

[0012] Preferably, in step 1,

[0013] The striker's command post sends strike command data to each equipment model;

[0014] The strike equipment performs strike actions based on the strike command data, while the striker's command post sends the strike command data to the adjudication calculation center.

[0015] The attacking equipment sends its own equipment attribute parameters to the adjudication calculation center, and the target being attacked also sends its own equipment attribute parameters to the adjudication calculation center.

[0016] The adjudication center performs unified adjudication calculations, selecting the data to be calculated from the source data, classifying it, and then performing efficient calculations.

[0017] Preferably, in step 2, an automated filtering program is set up in the strike command structure sent from the strike command simulation model to each strike equipment model, using the following data as the basis for adjudication calculation: target and / or expected equipment location, target equipment type, strike equipment location, strike equipment type, adjudication start time, and adjudication duration. At the same time, from the targets being struck, the target and / or actual equipment location, target equipment status, and adjudication start time are selected and given in Beijing time. The above data is selected from the two structures to form a new structure, which is then sent to the adjudication calculation center.

[0018] Preferably, step 2 specifically includes:

[0019] Step 2a: In the strike command structure sent from the striker's command post to each strike equipment simulation model, set up an automated filtering program to filter out information such as target and / or expected equipment location, target equipment type, strike equipment location, strike equipment type, decision start time, and decision duration.

[0020] Step 2b: Select the target and / or actual equipment location and equipment status from the target status information;

[0021] Step 2c: Combine the selected information into a new structure and send it to the adjudication calculation center.

[0022] Preferably, in step 3, the adjudication calculation center first preliminarily filters the target equipment type into cooperative adjudication and non-cooperative adjudication based on whether the target equipment type is the attacking side's equipment. If the target is the attacking side's equipment, it is a cooperative adjudication; if it is the attacked side's equipment, it is a non-cooperative adjudication. Then, it determines whether the target is a non-cooperative target. If it is a non-cooperative target, it is a non-cooperative adjudication. Finally, it determines whether the target is a cooperative target. If it is a cooperative target, it is a cooperative adjudication.

[0023] Preferably, in step 4, during the cooperative adjudication, the support characteristic information of both parties is received and calculated. That is, if the attacking party's equipment is a communication, navigation satellite, or telemetry and data transmission station, and the attacking party's equipment payload usually uses radar or transmitters for signal transmission, then the adjudication is an information support adjudication; if the attacking party's equipment is a maintenance vehicle, and the attacking party's equipment uses a robotic arm as a maintenance tool, then the adjudication is a maintenance support adjudication.

[0024] Preferably, step 4 includes:

[0025] Step 4a: Determine whether the type of equipment of the attacking party is communication, navigation satellite, or telemetry and control data transmission station equipment. If it is communication, navigation satellite, or telemetry and control data transmission station equipment, and the payload of the attacking party equipment usually uses radar or transmitters for signal transmission, then this decision is an information support decision.

[0026] Step 4b: Determine whether the attacking equipment is a maintenance vehicle. If the attacking equipment is a maintenance vehicle and the attacking equipment uses a robotic arm as a maintenance tool, then this ruling is a maintenance support ruling.

[0027] Preferably, in step 5, in the non-cooperative arbitration, the equipment types of both parties are received. If the attacking party's equipment is a missile early warning or remote sensing satellite, and the attacking party's equipment payload usually uses cameras, antennas, or radar devices for detection, then this arbitration is a state awareness arbitration. If the attacking party's equipment is electronic jamming or optical attack equipment, and the attacking party's equipment payload usually uses antennas or light-emitting devices for signal transmission, then this arbitration is a soft damage arbitration. If the attacking party's equipment is a missile strike, and the attacking party's equipment adopts a missile strike method, then this arbitration is a hard damage arbitration.

[0028] Preferably, step 5 includes:

[0029] Step 5a: Determine whether the type of the attacking satellite is a missile early warning or remote sensing satellite, and whether the attacking equipment payload typically uses cameras, antennas, and radar devices for detection. If the conditions are met, this decision is a state-aware decision.

[0030] Step 5b: Determine whether the type of the attacking satellite is electronic jamming or optical attack equipment, and whether the attacking equipment payload typically uses antennas or light-emitting devices to transmit signals. If the conditions are met, this ruling is a soft damage ruling.

[0031] Step 5c: Determine whether the attacking party's equipment type is missile attack and whether the attacking party's equipment uses missile attack or other methods. If the conditions are met, then this ruling is a hard damage ruling.

[0032] Preferably, the specific steps of step 6, which involves determining the type of the ruling calculation and accurately obtaining the calculation data based on the type of ruling, are as follows:

[0033] Step 6a: Since the maintenance support decision, soft damage decision, and hard damage decision all require obtaining real information from the target, the accurate calculation result is determined by performing the decision calculation on the target.

[0034] Step 6b: Since information-supported adjudication and status-aware adjudication provide the equipment with real information, the accurate calculation results are used for adjudication calculations within the equipment.

[0035] This invention provides a classification method for adjudication models in combat simulation training based on equipment characteristics. This method solves the problem of numerous adjudication models and inconsistent simulation calculations in existing combat simulation systems, making it more consistent with reality and effectively improving the confidence level of the simulation system. Compared with existing technologies, its advantages and beneficial effects are:

[0036] 1) Under information support conditions, the target party is the cooperative target, and the equipment itself can obtain real information, make accurate judgments and calculations, and conform to the actual battlefield situation.

[0037] 2) Under the conditions of maintenance and support, the target party is a cooperative target and the party being maintained, and accurate judgment and calculation can be performed, which is consistent with the actual battlefield situation;

[0038] 2) Under intelligence gathering conditions, the target party is identified and detected by the equipment party as a non-cooperative target, and the equipment party can make accurate judgments and calculations, which is consistent with the actual battlefield situation.

[0039] 3) Under hard damage conditions, the target is a non-cooperative target that is hit by hard damage from the equipment side. The target side can make accurate judgment and calculation, and only makes one judgment, which is consistent with the actual battlefield situation.

[0040] 4) Under soft damage conditions, the target is a non-cooperative target that is attacked by the equipment side with soft damage. The target side can make accurate judgments and calculations, and the judgments are made continuously, which is consistent with the actual battlefield situation.

[0041] In summary, the present invention provides a classification method for adjudication models in combat simulation training based on equipment characteristics, which solves the problems of multiple types of adjudication models and reasonable simulation calculations in existing combat simulation systems. It is more in line with the actual situation and effectively improves the confidence of the simulation system. Attached Figure Description

[0042] Figure 1 This is a flowchart of the method of the present invention; Detailed Implementation

[0043] The technical solutions in the embodiments of the present invention will be clearly and completely described below. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0044] To achieve the above-mentioned objectives, this invention provides a classification method for adversarial simulation training adjudication models based on equipment characteristics, the method comprising:

[0045] Step 1: The attacking force's command post sends attack command data to the attack equipment;

[0046] Step 2: The adjudication calculation center selects the necessary data from the strike command data sent from the striker's command post to the strike equipment model and the target's own equipment data;

[0047] Step 3: Receive the equipment type data of the target being attacked and determine whether it is a cooperative decision; if it is a cooperative decision, proceed to step 4; if it is a non-cooperative decision, proceed to step 5.

[0048] Step 4: In the collaborative adjudication process, receive support feature information and maintenance feature information from both parties, and distinguish between information support adjudication and maintenance guarantee adjudication;

[0049] Step 5: In non-cooperative adjudication, receive the perceived characteristics, soft damage characteristics, and hard damage characteristics of both parties, and distinguish between perceived adjudication, soft damage adjudication, and hard damage adjudication;

[0050] Step 6: Based on the type of adjudication, perform precise adjudication calculations on either the target equipment or your own equipment.

[0051] According to an embodiment of the present invention, in step 1,

[0052] The striker's command post sends strike command data to each equipment model;

[0053] The strike equipment performs strike actions based on the strike command data, while the striker's command post sends the strike command data to the adjudication calculation center.

[0054] The attacking equipment sends its own equipment attribute parameters to the adjudication calculation center, and the target being attacked also sends its own equipment attribute parameters to the adjudication calculation center.

[0055] The adjudication center performs unified adjudication calculations, selecting the data to be calculated from the source data, classifying it, and then performing efficient calculations.

[0056] According to an embodiment of the present invention, in step 2, an automated filtering program is set in the strike command structure sent from the striker's command simulation model to each strike equipment model, and the following data is used as the basis information for adjudication calculation: target and / or expected equipment location, target equipment type, strike equipment location, strike equipment type, adjudication start time, and adjudication duration. At the same time, the target and / or actual equipment location, target equipment status, and adjudication start time are selected from the targets to be struck, and given in Beijing time. The above data are selected from the two structures to form a new structure, which is then sent to the adjudication calculation center.

[0057] According to an embodiment of the present invention, step 2 specifically includes:

[0058] Step 2a: In the strike command structure sent from the strike command simulation model to each strike equipment model, set up an automated filtering program to filter out information such as target and / or expected equipment location, target equipment type, strike equipment location, strike equipment type, decision start time, and decision duration.

[0059] Step 2b: Select the target and / or actual equipment location and equipment status from the target status information;

[0060] Step 2c: Combine the selected information into a new structure and send it to the adjudication calculation center.

[0061] According to an embodiment of the present invention, in step 3, the adjudication calculation center first preliminarily filters the target equipment type into cooperative adjudication and non-cooperative adjudication based on whether the target equipment type is the attacking side's equipment. If the target is the attacking side's equipment, it is a cooperative adjudication; if it is the attacked side's equipment, it is a non-cooperative adjudication. Then, it determines whether the target is a non-cooperative target. If it is a non-cooperative target, it is a non-cooperative adjudication. Finally, it determines whether the target is a cooperative target. If it is a cooperative target, it is a cooperative adjudication.

[0062] According to one embodiment of the present invention, in step 4, in the cooperative decision-making, the support characteristic information of both parties is received and calculated. That is, if the striker's equipment is a communication, navigation satellite, telemetry and control data transmission station, and the striker's equipment payload usually uses radar or transmitter as signal transmission, then the decision is an information support decision; if the striker's equipment is a maintenance vehicle, and the striker's equipment uses a robotic arm as a maintenance tool, then the decision is a maintenance support decision.

[0063] According to one embodiment of the present invention, step 4 includes:

[0064] Step 4a: Determine whether the type of equipment of the attacking party is communication, navigation satellite, or telemetry and control data transmission station equipment. If it is communication, navigation satellite, or telemetry and control data transmission station equipment, and the payload of the attacking party equipment usually uses radar or transmitters for signal transmission, then this decision is an information support decision.

[0065] Step 4b: Determine whether the attacking equipment is a maintenance vehicle. If the attacking equipment is a maintenance vehicle and the attacking equipment uses a robotic arm as a maintenance tool, then this ruling is a maintenance support ruling.

[0066] According to one embodiment of the present invention, in step 5, in the non-cooperative decision, the equipment types of both parties are received. If the attacking party's equipment is a missile early warning or remote sensing satellite, and the attacking party's equipment payload typically uses cameras, antennas, or radar devices for detection, then this decision is a state awareness decision. If the attacking party's equipment is electronic jamming or optical attack equipment, and the attacking party's equipment payload typically uses antennas or light-emitting devices for signal transmission, then this decision is a soft damage decision. If the attacking party's equipment is a missile strike, and the attacking party's equipment adopts a missile strike method, then this decision is a hard damage decision.

[0067] According to an embodiment of the present invention, step 5 includes:

[0068] Step 5a: Determine whether the type of the attacking satellite is a missile early warning or remote sensing satellite, and whether the attacking equipment payload typically uses cameras, antennas, and radar devices for detection. If the conditions are met, this decision is a state-aware decision.

[0069] Step 5b: Determine whether the type of the attacking satellite is electronic jamming or optical attack equipment, and whether the attacking equipment payload typically uses antennas or light-emitting devices to transmit signals. If the conditions are met, this ruling is a soft damage ruling.

[0070] Step 5c: Determine whether the attacking party's equipment type is missile attack and whether the attacking party's equipment uses missile attack or other methods. If the conditions are met, then this ruling is a hard damage ruling.

[0071] According to an embodiment of the present invention, the specific steps of step 6, which involves determining the type of the adjudication calculation and accurately obtaining the calculation data based on the type of adjudication, are as follows:

[0072] Step 6a: Since the maintenance support decision, soft damage decision, and hard damage decision all require obtaining real information from the target, the accurate calculation result is determined by performing the decision calculation on the target.

[0073] Step 6b: Since information-supported adjudication and status-aware adjudication provide the equipment with real information, the accurate calculation results are used for adjudication calculations within the equipment.

[0074] Although the present invention has been described in detail through the preferred embodiments above, it should be understood that the above description should not be considered as a limitation of the present invention. Various modifications and substitutions to the present invention will be apparent to those skilled in the art after reading the above description. Therefore, the scope of protection of the present invention should be defined by the appended claims.

Claims

1. A classification method for adversarial simulation training adjudication models based on equipment characteristics, characterized in that, Including the following steps: Step 1: The striker's command post sends strike command data to the strike equipment model; Step 2: The adjudication calculation center filters the necessary data from the strike command data sent from the striker's command post to the strike equipment model and the equipment data of the target itself. In Step 2, an automated filtering program is set up in the strike command structure sent from the striker's command post to each strike equipment model, using the following data as the basic information for adjudication calculation: target and / or expected equipment location, target equipment type, strike equipment location, strike equipment type, adjudication start time, and adjudication duration. At the same time, from the targets being struck, the target and / or actual equipment location, target equipment status, and adjudication start time are selected and given in Beijing time. The above data is selected from the two structures to form a new structure and sent to the adjudication calculation center. Step 3: Receive the equipment type data of the target being attacked and determine whether it is a cooperative decision; if it is a cooperative decision, proceed to step 4; if it is a non-cooperative decision, proceed to step 5. Step 4: In the cooperative adjudication, receive support feature information and maintenance feature information from both the attacking and attacked parties, and distinguish between information support adjudication and maintenance support adjudication; Step 5: In non-cooperative adjudication, receive the perceived characteristics, soft damage characteristics, and hard damage characteristics of both parties, and distinguish between perceived adjudication, soft damage adjudication, and hard damage adjudication; Step 6: Based on the adjudication type, perform precise adjudication calculations on either the target equipment or your own equipment; The specific steps are as follows: Step 6a: Since maintenance support decision, soft damage decision, and hard damage decision all involve obtaining real information from the target, the accurate calculation result is determined to be performed on the target for decision calculation; Step 6b: Since information support decision and status awareness decision involve obtaining real information from the equipment, the accurate calculation result is performed on the equipment for decision calculation.

2. The classification method for adversarial simulation training adjudication model based on equipment characteristics according to claim 1, characterized in that, In step 1, The striker's command post sends strike command data to each equipment model; The strike equipment performs strike actions based on the strike command data, while the striker's command post sends the strike command data to the adjudication calculation center. The attacking equipment sends its own equipment attribute parameters to the adjudication calculation center, and the target being attacked also sends its own equipment attribute parameters to the adjudication calculation center. The adjudication center performs unified adjudication calculations, selecting the data to be calculated from the source data, classifying it, and then performing the calculations.

3. The classification method for adversarial simulation training adjudication model based on equipment characteristics according to claim 2, characterized in that, Step 2 specifically includes: Step 2a: In the strike command structure sent from the strike command simulation model to each strike equipment model, set up an automated filtering program to filter out information such as target and / or expected equipment location, target equipment type, strike equipment location, strike equipment type, decision start time, and decision duration. Step 2b: Select the target and / or actual equipment location and equipment status from the target status information; Step 2c: Combine the selected information into a new structure and send it to the adjudication calculation center.

4. The classification method for adversarial simulation training adjudication model based on equipment characteristics according to claim 1, characterized in that, In step 3, the adjudication calculation center first preliminarily filters the target equipment into cooperative adjudication or non-cooperative adjudication based on whether the target equipment type is the attacking party's equipment; If the target is the attacker's equipment, it is a cooperative decision; if it is the attacked equipment, it is a non-cooperative decision. Determine whether the target is a non-cooperative target; if it is, make a non-cooperative decision. Determine whether the target is a cooperative target; if it is, make a cooperative decision.

5. The classification method for adversarial simulation training adjudication model based on equipment characteristics according to claim 1, characterized in that, In step 4, during the cooperative adjudication, the support characteristic information of both parties is received and calculated. If the attacking party's equipment is a communication, navigation satellite, or telemetry and data transmission station, and the attacking party's equipment payload uses radar or transmitters for signal transmission, then the adjudication is an information support adjudication. If the attacking party's equipment is a maintenance vehicle, and the attacking party's equipment uses a robotic arm as a maintenance tool, then the adjudication is a maintenance support adjudication.

6. The classification method for adversarial simulation training adjudication model based on equipment characteristics according to claim 5, characterized in that, Step 4 includes: Step 4a: Determine whether the type of equipment of the attacking party is communication, navigation satellite, or telemetry and control data transmission station equipment. If it is communication, navigation satellite, or telemetry and control data transmission station equipment, and the payload of the attacking party uses radar or transmitters to transmit signals, then this decision is an information support decision. Step 4b: Determine whether the attacking equipment is a maintenance vehicle. If the attacking equipment is a maintenance vehicle and the attacking equipment uses a robotic arm as a maintenance tool, then this ruling is a maintenance support ruling.

7. The classification method for adversarial simulation training adjudication model based on equipment characteristics according to claim 1, characterized in that, In step 5, in the non-cooperative arbitration, the equipment types of both parties are received. If the attacking party's equipment is a missile early warning or remote sensing satellite, and the attacking party's equipment payload uses cameras, antennas, or radar devices for detection, then this arbitration is a state awareness arbitration. If the attacking party's equipment is electronic jamming or optical attack equipment, and the attacking party's equipment payload uses antennas or light-emitting devices for signal transmission, then this arbitration is a soft damage arbitration. If the attacking party's equipment is a missile attack, and the attacking party's equipment adopts a missile attack method, then this arbitration is a hard damage arbitration.

8. The classification method for adversarial simulation training adjudication model based on equipment characteristics according to claim 1, characterized in that, Step 5 includes: Step 5a: Determine whether the type of the attacking satellite is a missile early warning or remote sensing satellite and whether the attacking equipment uses cameras, antennas, or radar devices for detection. If the conditions are met, this decision is a state-aware decision. Step 5b: Determine whether the type of the attacking satellite is electronic jamming or optical attack equipment, and whether the attacking equipment payload uses antennas or light-emitting devices to transmit signals. If the conditions are met, this ruling is a soft damage ruling. Step 5c: Determine whether the attacking party's equipment type is missile attack and whether the attacking party's equipment adopts missile attack method. If the conditions are met, this ruling is a hard damage ruling.

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