Simulation test design and evaluation method for opposite task planning verification

Abstract

The invention belongs to the technical field of aviation simulation, and particularly relates to a simulation test design and evaluation method for opposite task planning verification, which comprises the following steps: establishing an evaluation index system, performing task planning evaluation on a test result according to the evaluation index system to obtain an evaluation result, and then optimizing a test process according to the evaluation result. According to a task scene, a test object participating in simulation is determined, after an initial situation and a test process are determined, test data in a simulation test are evaluated by establishing an evaluation index system, and whether task planning content is effective and feasible is verified through a calculation result value. The advantages and disadvantages of different task planning contents under the same task can be compared through the calculation result; a universal simulation test evaluation method is formed, the correctness and feasibility verification problem of task planning content is solved, and the situation that task planning achieves task requirements can be systematically evaluated.

Description

Technical Field

[0001] This application belongs to the field of aviation simulation technology, and particularly relates to a simulation test design and evaluation method for face-to-face mission planning verification. Background Art

[0002] When performing a mission, the mission planning system will perform mission planning according to the face-to-face mission content and give mission planning data. The mission planning data generally includes the following aspects: a) Path: The executing unit is required to move along the planned path. b) Sensor usage: The executing unit is required to use sensors according to the planned requirements, generally including sensor power-on, using specific sensor modes and parameters, sensor power-off, etc. c) Weapon usage: The executing unit is required to use weapons according to the planned requirements, generally including weapon release positions, weapon configuration parameters, etc.

[0003] For the content of the above mission planning data, it is necessary to verify the feasibility and effectiveness of its planned content.

[0004] The feasibility of the mission planning content reflects the degree of compliance with the planned requirements when the executing unit executes according to the mission planning content requirements. When the executing unit executes according to the mission planning content requirements, the reasons for deviations mainly come from the following two aspects: a) Performance limitations of the executing unit: The execution ability of the executing unit (such as the climbing and descending ability, acceleration and deceleration ability, turning radius of an aircraft, etc.) is restricted by the performance of the executing unit itself. When the execution content required by the mission planning exceeds this limit, deviations will occur during execution. b) Execution deviations of the in-the-loop operator: For in-the-loop executing units, when the operator controls the executing unit to execute the mission planning requirements, execution deviations (such as speed deviation, position deviation, time deviation, etc.) will inevitably occur.

[0005] The effectiveness of the mission planning content reflects the compliance between the actual result and the mission expected result when the executing unit executes the mission planning requirements. The reasons for the deviation of this result mainly come from the following aspects: a) The execution result of the executing unit deviates from the mission planning content. b) When performing mission planning, some scene elements are simplified, resulting in non-compliance with the planned content during actual execution (for example: when calculating the change of aircraft attitude during planning, it is considered that the change of aircraft attitude is completed instantaneously without time). c) There are problems with the planned content itself, and even if the execution is completely consistent with the plan, the mission expected result cannot be achieved.

[0006] For different task planning systems or different opposing task contents, there is currently no general simulation test design and evaluation method to verify the feasibility and effectiveness of different task planning contents. Summary of the Invention

[0007] The purpose of this application is to provide a simulation test design and evaluation method for opposing task planning verification, so as to solve the problem that there is currently no general simulation test design and evaluation method to verify the feasibility and effectiveness of different task planning contents.

[0008] The technical solution of this application is: A simulation test design and evaluation method for opposing task planning verification, including: Determine the test objects participating in the simulation according to the task scenario, and determine the test elements according to the test objects. The test objects include human-in-the-loop objects and non-human-in-the-loop objects; Set the initial posture for the test objects participating in the test according to the task scenario, that is, the initial state of each test object at the start of the simulation; Design the test process according to the task scenario and task planning content, and then control the test objects to participate in the test process, conduct test process training, collect test data for the determination of the specified actions of the test objects, until they can complete the specified actions in the test process and complete the training; Obtain the feasibility-related indicators and effectiveness-related indicators in the task planning content. The feasibility-related indicators include the number and correlation indicators of point constraints and interval constraints; the effectiveness-related indicators include the number and correlation indicators of communication equipment, sensor equipment, and weapon equipment; calculate the weighted coefficients of each credibility data and effectiveness data; establish an evaluation index system based on feasibility evaluation and effectiveness evaluation according to the feasibility-related indicators and effectiveness-related indicators; Feasibility evaluation includes point constraint evaluation and interval constraint evaluation; Effectiveness evaluation includes communication equipment effectiveness evaluation, sensor equipment effectiveness evaluation, and weapon equipment effectiveness evaluation; Conduct a simulation test according to the test process, obtain the simulation result data of each point constraint, interval constraint, communication equipment, sensor equipment, and weapon equipment in the test results, use the simulation result data as the input of the feasibility-related indicators and effectiveness-related indicators, and combine the weighted coefficients to conduct feasibility evaluation and effectiveness evaluation to obtain feasibility indicators and effectiveness indicators; Further calculate the overall evaluation result of the task planning according to the feasibility indicators and effectiveness indicators C ; The overall evaluation result of the task planning C Compare with the index standard value. If it is greater than or equal to the index standard value, it is judged that the task planning is feasible and effective; The overall evaluation result of the task planning C The calculation method is: ; Wherein, is the weighted coefficient of the feasibility index, is the weighted coefficient of the effectiveness index, is the feasibility index, is the effectiveness index.

[0009] Preferably, the feasibility index includes a point constraint index and an interval constraint index; the point constraint index is obtained through point constraint evaluation; the interval constraint index is obtained through interval constraint evaluation; the feasibility index is obtained by calculating the point constraint index and the interval constraint index, and the feasibility index The calculation formula is: ; wherein, is the number of point constraints in the planning content to be evaluated, is the number of interval constraints in the planning content to be evaluated, is the point constraint weighted coefficient, is the interval constraint weighted coefficient, which can be calculated and determined according to the analytic hierarchy process; is the th point constraint index, is the th interval constraint index.

[0010] Preferably, the calculation method of the point constraint index is: ; wherein, is the number of test batches that meet the constraint index, is the total number of test batches.

[0011] Preferably, the interval constraint evaluation includes a strong interval constraint and a weak interval constraint, and the strong interval constraint The calculation method is: ; wherein, is the number of test batches that meet the constraint index, is the total number of test batches; The weak interval constraint The calculation method is: ; wherein, is the th time in the test, and the percentage of the interval that meets the constraint index in the total interval.

[0012] Preferably, the effectiveness index includes the effectiveness index of communication equipment, the effectiveness index of sensor equipment, and the effectiveness index of weapon equipment; when performing effectiveness evaluation, assume that there are a communication device, a sensor device, If a type of weapon device participates in the calculation, the calculation method of the effectiveness index is as follows: ; Among them, is the weighted coefficient of the effectiveness index of the th communication device; is the weighted coefficient of the effectiveness index of the th sensor device; is the weighted coefficient of the effectiveness index of the th weapon device; is the weighted coefficient of the survival effectiveness index, is the effectiveness index of the th communication device, is the effectiveness index of the th sensor device, is the effectiveness index of the th weapon device, is the survival effectiveness index.

[0013] Preferably, the calculation method of the effectiveness index of the th communication device is as follows: ; Among them, , , are different weighted coefficients of the th communication device, which are determined by using the analytic hierarchy process according to different tasks, is the on-off index of the th communication device, is the delay index of the th communication device, is the error code index of the th communication device; The calculation method of the effectiveness index of the th sensor device is as follows: ; Among them, , are different weighted coefficients of the th sensor device, and the weighted coefficient of the th sensor device is determined by using the analytic hierarchy process according to different tasks, is the first detection distance index of the th sensor device, is the intercepted time ratio index of the th sensor device; The calculation method for the effectiveness index of the th weapon and equipment is as follows: ; Wherein, , are the different weighting coefficients of the th weapon and equipment, which are determined by using the analytic hierarchy process according to different tasks. is the hit rate index of the th weapon and equipment, is the damage rate index of the th weapon and equipment.

[0014] Preferably, the calculation method for the on / off index of the communication equipment is as follows: ; Wherein, is the percentage of the time interval during which the th communication equipment has smooth communication in the total required communication time interval in the th test, is the total number of test batches; The calculation method for the delay index of the communication equipment is as follows: ; Wherein, is the average communication delay of the th communication equipment in the th test, is the expected average delay during communication planning of the th communication equipment in the th test; The calculation method for the error code index of the communication equipment is as follows: ; Wherein, is the percentage of the time interval during which the error code rate of the th communication equipment is lower than the required value in the total smooth communication time interval in the th test.

[0015] Preferably, the calculation method for the first detection distance index is as follows: ; Wherein, is the detection distance when the th sensor equipment first detects the target in the th test, is the In the th test, the expected first detection distance during the planning of the th sensor device is ; the interception time ratio index is calculated as follows: ; where is the ratio of the actual target interception time to the required target interception time of the th sensor device in the th test, and is the total number of test batches.

[0016] Preferably, the hit rate index is calculated as follows: ; where is the number of times the th type of weapon device hits the target in the th test, is the number of times the th type of weapon device is launched in the th test, and is the total number of test batches; the damage rate index is calculated as follows: ; where is the number of targets damaged by the th type of weapon device in the th test, is the number of times the th type of weapon device hits the target in the th test; the survival effectiveness index is calculated as follows: ; where is the number of surviving combat units in the th test, and is the number of dispatched combat units in the th test.

[0017] Preferably, the weighted coefficients of communication device effectiveness, sensor device effectiveness, and weapon device effectiveness are all obtained by the analytic hierarchy process.

[0018] The simulation test design and evaluation method for face-to-face task planning verification of the present application determines the test objects participating in the simulation according to the task scenario. After determining the initial situation and test process, it evaluates the test data in the simulation test by establishing an evaluation index system, verifies whether the task planning content is effective and feasible through the calculation result value, and can also compare the advantages and disadvantages of different task planning contents under the same task through the calculation result; a general simulation test evaluation method is formed, which solves the problems of verifying the correctness and feasibility of the task planning content, and can systematically evaluate the situation of the task planning to meet the task requirements. Brief Description of the Drawings

[0019] In order to more clearly illustrate the technical solutions provided by the present application, the drawings will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application.

[0020] Figure 1 It is a schematic diagram of the overall process of the present application. Detailed Embodiments

[0021] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0022] A simulation test design and evaluation method for face-to-face task planning verification, as Figure 1 shown, includes the following steps: Step S100, clarify the test objects: Determine the test objects participating in the simulation according to the task scenario, and determine the test elements according to the test objects. The test objects include in-the-loop objects and non-in-the-loop objects.

[0023] The in-the-loop objects adopt the method of real-time intervention and operation by test personnel, and are usually applicable to combat units that require on-site decision-making, have strong game-playing or adaptability (such as aircraft that need to conduct air combat or evade incoming weapons); non-in-the-loop objects do not require test personnel to conduct real-time intervention and operation, and only need to set their behaviors before the test. During the test, the object will automatically execute according to the pre-set behaviors, and is usually applicable to situations with fixed behaviors or action paths, and combat units that do not require any game-playing or adaptability (such as electronic jamming aircraft or early warning aircraft that perform fixed-route tasks in a safe area without any threats).

[0024] The test elements include setting the model, quantity, basic attributes, mounting information, etc. of the test objects to ensure the integrity of the test elements of the test objects.

[0025] Step S200, clarify the initial situation: Set the initial situation for each test object participating in the simulation according to the mission scenario, that is, the initial state of each test object at the start of the simulation.

[0026] The initial situation includes initial longitude, latitude, altitude, initial fuel quantity, initial speed, initial heading, etc.

[0027] Step S300, clarify the test process: Design the test process according to the mission scenario and mission planning content, and then control the test objects to participate in the test process, conduct test process training, collect test data to judge the specified actions of the test objects, until they can complete the specified actions in the test process and complete the training.

[0028] Preferably, for the human-in-the-loop objects, the test personnel should be trained in the test process in advance, and prompts for the operations that the test personnel should perform should be set during the test process to ensure that the test personnel will not have execution deviations due to unfamiliarity with the test process. For non-human-in-the-loop objects, the behaviors during the test are set in advance to ensure that the simulation model is executed according to the mission planning content.

[0029] The mission planning is that the test objects perform specific mission behaviors at different time points / time intervals / space points / space intervals according to the planned content.

[0030] Step S400, establish an evaluation index system: Obtain the feasibility-related indicators and effectiveness-related indicators in the mission planning content. The feasibility-related indicators include the number of point constraints, interval constraints and related indicators; the effectiveness-related indicators include the number of communication devices, sensor devices and weapon devices and related indicators; calculate the weighting coefficients of each feasibility indicator and effectiveness indicator; establish an evaluation index system based on feasibility evaluation and effectiveness evaluation; the feasibility evaluation includes point constraint evaluation and interval constraint evaluation; the effectiveness evaluation includes communication device effectiveness evaluation, sensor device effectiveness evaluation and weapon device effectiveness evaluation; The point constraint evaluation mainly evaluates the execution deviation of the combat unit from the point actions in the mission planning content (such as point arrival time deviation, horizontal distance deviation, altitude deviation, speed deviation), which is generally used to evaluate the execution of strong constraint actions such as bomb dropping points and formation assembly points, and does not evaluate the execution content before reaching the point. The interval constraint evaluation, on the basis of the point constraint evaluation, evaluates the deviation between the execution situation of the task execution interval between points and the planning requirements (such as altitude-time curve, speed-time curve, position-time curve), which is generally used to evaluate the task interval with execution constraints (such as the ultra-low altitude flight penetration stage of an aircraft).

[0031] The effectiveness assessment mainly evaluates the effectiveness of communication, sensors, and weapon planning in the task planning content and the survival of combat units. For the communication effectiveness assessment, it mainly evaluates the communication effect (whether there are communication delays, packet losses, and bit errors) when the combat unit turns on and off communication equipment according to the planned content and communicates in the planned frequency band and bandwidth. For the sensor effectiveness assessment, it mainly evaluates whether the combat unit can stably intercept the target when it is required to intercept the target according to the planned usage mode and usage parameters. For the weapon effectiveness assessment, it mainly evaluates whether the weapon can complete the attack closed-loop, the hit rate and damage rate of the weapon after it is launched. The survival assessment of combat units mainly evaluates whether the survival rate of combat units during the mission is the same as the mission expectation.

[0032] Step S500, conduct a simulation experiment according to the experimental process, obtain the simulation result data of various point constraints, interval constraints, communication equipment, sensor equipment, and weapon equipment in the experimental results, use the simulation result data as the input of the feasibility-related indicators and effectiveness-related indicators, and combine the weighting coefficients to conduct feasibility assessment and effectiveness assessment to obtain the specific values of the feasibility indicators and effectiveness indicators; further calculate the overall assessment result of the task planning according to the specific values of the feasibility indicators and effectiveness indicators C ; the overall assessment result of the task planning C is compared with the index standard value. If it is greater than or equal to the index standard value, it is determined that the task planning is feasible and effective; the overall assessment result of the task planning C The calculation method is: ;

[0033] Among them, is the weighting coefficient of the feasibility indicator, is the weighting coefficient of the effectiveness indicator, is the feasibility indicator, is the effectiveness indicator. The weighting coefficient of the feasibility indicator and the weighting coefficient of the effectiveness indicator are calculated by using the analytic hierarchy process with existing different task data.

[0034] The overall assessment result of the task planning C is a value between 0 and 1. The closer it is to 1, the higher the feasibility and effectiveness of the task planning. For different task plans, different index standard values are set, and the index standard values are usually between 0.6 and 0.8.

[0035] When the overall assessment result of the task planning C is less than the index standard value, it is determined that the corresponding task planning is not feasible.

[0036] Preferably, the feasibility indicator It includes a point constraint index and an interval constraint index; the point constraint index is obtained through feasibility point constraint evaluation; the interval constraint index is obtained through interval constraint evaluation; the feasibility index is obtained after calculating with the point constraint index and the interval constraint index, and the feasibility index The calculation formula is: ;

[0037] Wherein, is the number of point constraints in the planning content to be evaluated, is the number of interval constraints in the planning content to be evaluated, is the point constraint weighting coefficient, is the interval constraint weighting coefficient, which can be calculated and determined according to the analytic hierarchy process. is the th point constraint index, is the th interval constraint index. The point constraint weighting coefficient and the interval constraint weighting coefficient are obtained by calculating with the existing different task data through the analytic hierarchy process.

[0038] Preferably, the calculation method of the point constraint index is: ;

[0039] Wherein, is the number of test batches that meet the constraint index, is the total number of test batches.

[0040] Preferably, the interval constraint evaluation includes a strong interval constraint and a weak interval constraint. The calculation method of the strong interval constraint is: ;

[0041] Wherein, is the number of test batches that meet the constraint index, is the total number of test batches; The calculation method of the weak interval constraint is: ;

[0042] Wherein, is the percentage of the interval that meets the constraint index in the total interval in the th test.

[0043] Preferably, the effectiveness index includes the effectiveness index of communication equipment, the effectiveness index of sensor equipment, and the effectiveness index of weapon equipment; when conducting effectiveness evaluation, assume there are communication equipment, sensor equipment, If Class weapons and equipment are involved in the calculation, the calculation method of the effectiveness index is as follows: ;

[0044] Among them, is the weighted coefficient of the effectiveness index of the th communication device; is the weighted coefficient of the effectiveness index of the th sensor device; is the weighted coefficient of the effectiveness index of the th weapon device; is the weighted coefficient of the survival effectiveness index, is the effectiveness index of the th communication device, is the effectiveness index of the th sensor device, is the effectiveness index of the th weapon device, is the survival effectiveness index.

[0045] Preferably, the calculation method of the effectiveness index of the th communication device is as follows: ;

[0046] Among them, , , are different weighted coefficients of the th communication device, which are determined by using the analytic hierarchy process according to different tasks, is the on-off index of the th communication device, is the delay index of the th communication device, is the error code index of the th communication device; The calculation method of the effectiveness index of the th sensor device is as follows: ;

[0047] Among them, , are different weighted coefficients of the th sensor device, the weighted coefficient of the th sensor device is determined by using the analytic hierarchy process according to different tasks, is the first detection distance index of the th sensor device, is the intercepted time ratio index of the th sensor device; The calculation method for the effectiveness index of the th weapon equipment is as follows:

[0048] Among them, and are the different weighting coefficients of the th weapon equipment, which are determined by using the analytic hierarchy process according to different tasks. is the hit rate index of the th weapon equipment, is the damage rate index of the th weapon equipment.

[0049] Preferably, the calculation method for the on / off index of the communication equipment is as follows: ;

[0050] Among them, is the percentage of the time interval during which the th communication equipment has smooth communication in the total required communication time interval in the th test, is the total number of test batches; The calculation method for the delay index of the communication equipment is as follows: ;

[0051] Among them, is the average communication delay of the th communication equipment in the th test; is the expected average delay during communication planning of the th communication equipment in the th test; The calculation method for the error code index of the communication equipment is as follows: ;

[0052] Among them, is the percentage of the time interval during which the error code rate of the th communication equipment is lower than the required value in the total smooth communication time interval in the th test.

[0053] Preferably, the calculation method for the first detection distance index is as follows: ; Among them, is the th test, and The detection distance when a sensor device first detects a target is the th trial, and the expected first detection distance when the th sensor device is planned is the total number of trial batches; The calculation method of the interception time ratio index is as follows: ; wherein, is the ratio of the actual interception time of the th sensor device to the time when it is required to intercept the target in the th trial, and is the total number of trial batches.

[0054] The calculation method of the hit rate index is as follows: ; wherein, is the number of times the th type of weapon device hits the target in the th trial, is the number of times the th type of weapon device is launched in the th trial, and is the total number of trial batches; The calculation method of the damage rate index is as follows: ; wherein, is the number of targets damaged by the th type of weapon device in the th trial, is the number of times the th type of weapon device hits the target in the th trial; The calculation method of the survival effectiveness index is as follows: ; wherein, is the number of surviving combat units in the th trial, and is the number of dispatched combat units in the th trial.

[0055] Preferably, the communication device effectiveness weighting coefficient, the sensor device effectiveness weighting coefficient, and the weapon device effectiveness weighting coefficient are all obtained by the analytic hierarchy process.

[0056] In summary, according to the task scenario, the present application determines the test objects participating in the simulation. After determining the initial situation and test process, it evaluates the test data in the simulation test by establishing an evaluation index system, verifies whether the task planning content is effective and feasible through the calculated result value, and can also compare the advantages and disadvantages of different task planning contents under the same task through the calculated results; a general simulation test evaluation method is formed, which solves the problems of verifying the correctness and feasibility of the task planning content, and can systematically evaluate the situation of the task planning to meet the task requirements.

[0057] Finally, it should be noted that: in the drawings of the disclosed embodiments of the present invention, only the structures related to the disclosed embodiments are involved, and other structures can refer to the general design. Without conflict, the same embodiment and different embodiments of the present invention can be combined with each other; Finally: The above are only the preferred embodiments of the present invention and are not used to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention shall be included within the protection scope of the present invention.

Claims

1. A simulation test design and evaluation method for task planning verification, characterized in that: include: Determine the test subjects participating in the simulation according to the task scenario, and the test subjects include human-in-the-loop subjects and non-human-in-the-loop subjects; According to the task scenario, the initial state is set for the test subjects participating in the experiment, that is, the initial state of each test subject at the beginning of the simulation; Design the test process according to the task scenario and task planning content, then control the test subject to participate in the test process, conduct test process training, collect test data to determine the test subject's prescribed actions, until the test subject can fully perform the prescribed actions in the test process and complete the training; Obtain feasibility-related indicators and effectiveness-related indicators in the mission planning content. Feasibility-related indicators include the number and related indicators of point constraints and interval constraints; effectiveness-related indicators include the number and related indicators of communication equipment, sensor equipment and weapon equipment; calculate the weighted coefficients of each credibility data and effectiveness data; establish an evaluation indicator system based on feasibility evaluation and effectiveness evaluation according to feasibility-related indicators and effectiveness-related indicators; feasibility evaluation includes point constraint evaluation and interval constraint evaluation; effectiveness evaluation includes communication equipment effectiveness evaluation, sensor equipment effectiveness evaluation and weapon equipment effectiveness evaluation; Conduct simulation tests according to the test process, obtain simulation result data of each point constraint, interval constraint, communication equipment, sensor equipment and weapon equipment in the test results, use the simulation result data as the input of feasibility-related indicators and effectiveness-related indicators, and conduct feasibility evaluation and effectiveness evaluation in combination with weighted coefficients to obtain specific values ​​of feasibility indicators and effectiveness indicators; further calculate the overall evaluation results of the mission planning based on the specific values ​​of feasibility indicators and effectiveness indicators C ; The overall assessment results of the mission planning C Compare with the standard value of the indicator. If it is greater than or equal to the standard value of the indicator, the task planning is considered feasible and effective. The overall evaluation result of the task planning C The calculation method is: ； in, is the feasibility index weighting coefficient, is the weighted coefficient of effectiveness index, As feasibility indicator, is an effectiveness indicator.

2. The simulation test design and evaluation method for task planning verification according to claim 1 is characterized in that: The feasibility indicators It includes point constraint index and interval constraint index; point constraint evaluation obtains point constraint index; interval constraint evaluation obtains interval constraint index; feasibility index is obtained by calculating point constraint index and interval constraint index. The calculation formula is: ； in, is the number of point constraints in the planning content that need to be evaluated, is the number of interval constraints in the planning content that needs to be evaluated, is the point constraint weight coefficient, is the interval constraint weighting coefficient, which can be calculated and determined according to the hierarchical analysis method; For the Point constraint index, For the An interval constraint indicator.

3. The simulation test design and evaluation method for task planning verification according to claim 2 is characterized in that: The point constraint index The calculation method is: ； in, The number of test batches that meet the constraint index is is the total number of test batches.

4. The simulation test design and evaluation method for task planning verification according to claim 2 is characterized in that: The interval constraint evaluation includes a strong interval constraint and a weak interval constraint. The calculation method is: ； in, The number of test batches that meet the constraint index is is the total number of test batches; The weak interval constraint The calculation method is: ； in, For the The percentage of intervals that meet the constraint index in the total intervals in the experiment.

5. The simulation test design and evaluation method for task planning verification according to claim 1, characterized in that: The effectiveness indicators Including communication equipment effectiveness indicators, sensor equipment effectiveness indicators and weapon equipment effectiveness indicators; when conducting effectiveness evaluation, it is assumed that Communication equipment, Sensor devices, If weapons and equipment of this type are involved in the calculation, the calculation method of effectiveness index is: ； in, For the Weighted coefficients of the effectiveness indicators of communication equipment; For the Weighted coefficient of effectiveness index of each sensor device; For the Weighting coefficient of weapon equipment effectiveness index; is the weighted coefficient of the survival effectiveness index, For the Communication equipment effectiveness indicators, For the Sensor device effectiveness indicators, For the Weapon equipment effectiveness indicators, It is an indicator of survival effectiveness.

6. The simulation test design and evaluation method for task planning verification according to claim 5, characterized in that: The said The calculation method of the effectiveness index of each communication device is: ； in, , , For the Different weight coefficients of each communication device are determined according to different tasks by using the analytic hierarchy process. For the Communication equipment on / off indicators, For the Communication equipment delay indicators, For the Bit error indicators of communication equipment; The said The calculation method of the effectiveness index of each sensor device is: ； in, , For the Different weighting coefficients of sensor devices are determined according to different tasks by using the analytic hierarchy process. For the The first detection distance indicator of each sensor device, For the The interception time ratio indicator of each sensor device; The said The calculation method of the effectiveness index of each weapon equipment is as follows: ； in, , For the Different weighting coefficients of weapons and equipment are determined according to different tasks by using the analytic hierarchy process. For the The hit rate index of each weapon equipment, For the The damage rate indicator of each weapon equipment.

7. The simulation test design and evaluation method for task planning verification according to claim 6, characterized in that: The communication equipment on-off indicator The calculation method is: ； in, For the In the first experiment, The percentage of the time interval during which each communication device communicates smoothly to the total required communication time interval. is the total number of test batches; The communication equipment delay indicator The calculation method is: ； in, For the In the first experiment, Average communication delay of each communication device; For the In the first experiment, The expected average delay of each communication device during communication planning; The communication equipment error indicator The calculation method is: ； in, For the In the first experiment, The percentage of the time interval when the bit error rate of each communication device is lower than the required value to the total communication smooth time interval.

8. The simulation test design and evaluation method for task planning verification according to claim 6 is characterized in that: The first detection distance indicator The calculation method is: ； in, For the In the first experiment, The detection distance when a sensor device first detects a target, For the In the first experiment, The expected first detection distance when planning a sensor device, is the total number of test batches; The interception time ratio indicator The calculation method is: ； in, For the In the first experiment, The percentage of time that a sensor device actually intercepts a target when it is needed to do so. is the total number of test batches.

9. The simulation test design and evaluation method for task planning verification according to claim 6, characterized in that: The hit rate indicator The calculation method is: ； in, For the In the first test The number of times such weapons and equipment hit the target, For the In the first test The number of times such weapons and equipment were fired, is the total number of test batches; The damage rate index The calculation method is: ； in, For the In the first test, The number of targets destroyed by this type of weapons and equipment, For the In the first test The number of times the type of weapons and equipment hit the target; Survival effectiveness index The calculation method is: ； in, For the The number of combat units that survived the test, For the The number of combat units deployed in the test.

10. The simulation test design and evaluation method for task planning verification according to claim 6, characterized in that: The communication equipment effectiveness weighted coefficient, the sensor equipment effectiveness weighted coefficient and the weapon equipment effectiveness weighted coefficient are all calculated by the hierarchical analysis method.

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