A method for evaluating equipment requirements satisfaction

Abstract

The present application discloses an equipment demand satisfaction evaluation method, which relates to the field of equipment evaluation. The method includes constructing an equipment effective application scenario set based on the actual execution tasks of the equipment; the equipment effective application scenario set includes multiple effective application scenarios; conducting effectiveness evaluation on each effective application scenario to determine an effectiveness evaluation table; based on the effectiveness evaluation table, evaluating the importance of different effective application scenarios to determine the scenario importance; constructing a key capability indicator set based on the equipment capability indicator system; for any effective application scenario, converting the key capability indicators in the key capability indicator set into the key capability indicator's demand satisfaction for the effective application scenario; determining the equipment comprehensive demand satisfaction based on the scenario importance and the demand satisfaction. The present application can obtain the equipment comprehensive demand satisfaction, and better provide a theoretical basis for equipment design.

Description

Technical Field

[0001] The present application relates to the field of equipment evaluation, and in particular to a method for evaluating equipment requirement satisfaction. Background Art

[0002] The new unmanned vehicles in the equipment are one of the main directions of vehicle development. On the one hand, the unmanned vehicles can improve the survivability of personnel, and on the other hand, it can also improve the vehicle system construction and vehicle design ideas. The development and distribution of new unmanned vehicles can also change the usage and style, effectively improve the vehicle system's ability to adapt to informatization, and enhance the unmanned efficiency under new situations and new trends.

[0003] The design and demonstration of new unmanned vehicles, such as these, must proceed from the vehicle's operational requirements and consider their system contribution and effectiveness from the perspective of vehicle system construction. By analyzing typical vehicle application scenarios, a key capability indicator system for new unmanned vehicles should be established, and the practical application effectiveness contribution of new unmanned vehicles within the system should be constructed. Comparative analysis should be conducted to assess the degree to which the designed new unmanned vehicles meet demand. Based on the evaluation and analysis results, the performance indicators of the new unmanned vehicles should be improved, effectively improving the efficiency and quality of their design and demonstration, development, production, and deployment. Summary of the Invention

[0004] The purpose of this application is to provide an equipment requirement satisfaction evaluation method that can evaluate equipment requirement satisfaction and provide a better theoretical basis for equipment design.

[0005] To achieve the above objectives, this application provides the following solutions.

[0006] The present application provides a method for evaluating equipment requirement satisfaction, which includes the following steps.

[0007] According to the actual execution tasks of the equipment, a set of effective equipment application scenarios is constructed; the set of effective equipment application scenarios includes multiple effective application scenarios.

[0008] Conduct effectiveness evaluation on each effective application scenario and determine the effectiveness evaluation table.

[0009] Based on the effectiveness evaluation table, the importance of different effective application scenarios is evaluated to determine the scenario importance.

[0010] Based on the equipment capability indicator system, a set of key capability indicators is constructed.

[0011] For any effective application scenario, the key capability indicators in the key capability indicator set are converted into the demand satisfaction of the key capability indicators for the effective application scenario.

[0012] The comprehensive equipment demand satisfaction is determined based on the scenario importance and the demand satisfaction.

[0013] According to the specific embodiments provided in this application, this application discloses the following technical effects: This application determines the importance of the scenario based on the actual execution task of the equipment, and determines the satisfaction level of the key capability indicators for the effective use of the scenario based on the capability indicator system. The equipment is comprehensively evaluated from the two aspects of scenario and demand, and the comprehensive satisfaction level of the equipment is determined, thereby better providing a theoretical basis for equipment design. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0015] Figure 1 Flowchart of the equipment requirement satisfaction assessment method provided in this application.

[0016] Figure 2 Schematic diagram of the new unmanned vehicle capability indicator system provided for this application. DETAILED DESCRIPTION

[0017] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0018] In order to make the above-mentioned purposes, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below with reference to the accompanying drawings and specific implementation methods.

[0019] The embodiment of the present application provides a method for evaluating equipment requirement satisfaction, which is executed by a computer device, specifically a computer device such as a terminal or a server, or a terminal and a server. In the embodiment of the present application, Figure 1 As shown, the method includes the following steps.

[0020] S1: Constructing a set of effective equipment application scenarios based on the actual execution tasks of the equipment; the set of effective equipment application scenarios includes multiple effective application scenarios.

[0021] S2: Conduct effectiveness evaluation on each effective application scenario and determine the effectiveness evaluation table.

[0022] S3: Based on the effectiveness evaluation table, evaluate the importance of different effective application scenarios to determine the scenario importance.

[0023] S4: Build a set of key capability indicators based on the equipment capability indicator system.

[0024] S5: For any effective application scenario, convert the key capability indicators in the key capability indicator set into the demand satisfaction of the key capability indicators for the effective application scenario.

[0025] S6: Determine the comprehensive equipment demand satisfaction according to the scenario importance and the demand satisfaction.

[0026] In an exemplary embodiment, S1 may be replaced by the following steps.

[0027] S11: Divide the actual execution task of the equipment into multiple serial minimum task units in the form of task profiles; the minimum task unit is an effective application scenario factor; the effective application scenario factor corresponds to a task state; each task profile includes at least two task states.

[0028] S12: Based on the minimum task unit, compare the intrinsic impact relationships between different task profiles and establish a cross-impact matrix.

[0029] S13: Determine effective correlation characteristics of the task profile according to the cross-influence matrix.

[0030] S14: Construct a set of effective equipment application scenarios based on the effective correlation characteristics of the mission profile.

[0031] In an exemplary embodiment, S2 may be replaced by the following steps.

[0032] S21: Construct a cross-consistency evaluation matrix based on the internal consistency between different task states;

[0033] S22: Based on the cross consistency evaluation matrix, the task states corresponding to all task profiles are comprehensively combined, and the valid task profiles are combined into a valid scenario.

[0034] S23: Establish a consistency set for each valid scenario, and construct a validity evaluation table based on the consistency set.

[0035] In an exemplary embodiment, S3 may be replaced by the following steps.

[0036] S31: Based on the effectiveness evaluation table, comprehensively evaluate the importance of effective application scenarios according to measurement indicators; the measurement indicators include application frequency , system contribution , strength and node criticality ; The importance is: ,in, For the i The importance of an effective application scenario, For the i Frequency of use of effective application scenarios; For the i The system contribution of each effective application scenario, For the i The strength of an effective application scenario, For the i The node criticality of an effective application scenario.

[0037] In an exemplary embodiment, S5 may be replaced by the following steps.

[0038] S51: Selecting a key capability indicator corresponding to the effective application scenario from the key capability indicator set.

[0039] S52: According to the value function corresponding to the key capability indicator selected by the effective application scenario, the key capability indicator is converted into the demand satisfaction of the key capability indicator for the effective application scenario; the demand satisfaction is ,in, For demand satisfaction, For the i The first step to effectively use scene screening k Key Capability Indicators The corresponding value function.

[0040] Alternatively, S53: by using an expert scoring method, the key capability indicator is converted into a satisfaction level of the key capability indicator for the effective application scenario; the satisfaction level is ,in, L is the total number of experts, For the l Key Capability Indicators Effective application scenarios The satisfaction rating results.

[0041] In an exemplary embodiment, S6 may be replaced by the following steps.

[0042] S61: For any effective application scenario, determine the weight coefficient of the importance of key capability indicators of equipment through expert scoring method or hierarchical analysis method.

[0043] S62: Determine the equipment's satisfaction with the effective application scenario based on the weight coefficient and the satisfaction with the demand.

[0044] S63: Determine the equipment's comprehensive demand satisfaction level based on the equipment's demand satisfaction level for the effective application scenario and the weight of the scenario's importance; the weight of the scenario's importance is: ,in, is the importance of the scene, For the i The importance of an effective application scenario, i ∈[1, n ], n is the total number of scenes.

[0045] Taking the new unmanned vehicle in equipment as an example, the technical solution of this application is further explained.

[0046] Step 1: The process of constructing scenarios for the effective use of new unmanned vehicles.

[0047] The systematic application of unmanned vehicles is a key tool and key to achieving modernization, informatization, and intelligence. In particular, for the development and construction of a modernized new vehicle system, new unmanned vehicles will become the primary vehicle of the future. This requires comprehensive research, analysis, and planning for all aspects of the system development, system teaching, and assessment and application of these new unmanned vehicles. By envisioning and analyzing effective application scenarios for new unmanned vehicles and identifying typical and effective scenarios, we can provide a foundational basis for their design and development.

[0048] Step 1.1: Create a set of effective application scenarios.

[0049] Based on actual missions, we construct effective application scenarios for new unmanned vehicles. We divide actual missions into several serially connected minimum task units in the form of mission profiles, and set these minimum task units as factors for effective application scenarios. The uncertainty of each factor—the different possible states of the factors—is the basis for different effective application scenarios.

[0050] Assume a given new unmanned vehicle mission , with mission profile 、 、…、 ,in is the total number of mission profiles, each of which includes more than two possible states. A cross-impact matrix is ​​established, as shown in Table 1. By comparing the intrinsic impact relationships between different mission profiles, the effective correlation characteristics of the mission profiles are determined, forming a set of effective application scenarios.

[0051] The effective application scenarios of new unmanned vehicles are as follows: , , .

[0052] like , , , , then ,or .

[0053] , ,…, , , , , , .

[0054] in, Represents a set of effective application scenarios for new unmanned vehicles; n Indicates the total number of effective application scenarios; Indicates the i An effective application scenario; A continuous symbol representing the task process, that is, the process from one task profile to the next task profile. The overall process is an effective application scenario; Indicates the i The first of the effective application scenarios j mission profile, similarly, Indicates the i The first of the effective application scenarios n i mission profiles, Indicates the The first of the effective application scenarios mission profiles, Indicates the The first of the effective application scenarios mission profiles; Indicates the i The total number of effective scenario mission profiles; represents a collection of task profiles, c m For the m mission profiles; c 11 Represents mission profile c The first subsection of 1; c 12 Represents mission profile c The second subsection of 1.

[0055] Table 1 Effective correlation characteristics of mission profiles

[0056]

[0057] Step 1.2: Scenario effectiveness assessment.

[0058] By judging the internal consistency between two different profile states, a cross-consistency evaluation matrix can be formed, as shown in Table 2.

[0059] By comprehensively combining all mission profile states and treating the combination of valid profiles as a scenario, a consistent set of each valid scenario can be established.

[0060] For effective application scenarios , , has its consistent set , , .

[0061] Among them, the function f Indicates the subscript mapping corresponding to the consistency evaluation in Table 2; its consistency set Effective application scenarios of the number of elements The number of elements in the middle is 1 less; Represents mission profile and The consistency evaluation value between them.

[0062] Table 2 Cross-consistency evaluation matrix

[0063]

[0064] The effectiveness of the effective application scenarios can be evaluated by the average value or minimum value of the elements in the consistency evaluation set of the effective application scenarios. The average value and minimum value of the consistency of each effective application scenario are calculated to obtain its effectiveness evaluation table as shown in Table 3.

[0065] Table 3 Effectiveness evaluation table of effective application scenarios

[0066]

[0067] Therefore, the minimum or average value of scene consistency can be used as a criterion, and the standard can be set to be higher than a certain value, so that an effective application scenario of a new unmanned vehicle can be determined.

[0068] Step 1.3: Scenario importance assessment.

[0069] The number of effective application scenarios obtained by the above method is relatively large, including relatively common, frequently used, important effective application scenarios and relatively rare, minor effective application scenarios. Therefore, it is necessary to evaluate the importance of different effective application scenarios to distinguish the important role characteristics of various scenarios, so that targeted analysis and evaluation can be carried out.

[0070] Consider the frequency of use in effective application scenarios , system contribution , strength and node criticality There are 4 dimensions of measurement indicators in total, and the importance of effective application scenarios can be obtained through comprehensive evaluation. The importance of the scene is: .

[0071] The importance of effective application scenarios is usually determined by evaluating the four dimensions as a normalized numerical value. Then, based on each scenario The importance of the scene , we can calculate the reflection scene In the scene set The relative importance of weight , .

[0072] Step 2: New unmanned vehicle demand satisfaction assessment process.

[0073] Step 2.1: The process of constructing the new unmanned vehicle capability indicator system.

[0074] The new unmanned vehicle is the main execution terminal and direct manifestation of various tasks in the future. As the main part of the unmanned vehicle system, the new unmanned vehicle is an important part of the composition and improvement of the unmanned vehicle system. The design and construction of the new unmanned vehicle capabilities, on the one hand, must reflect the advancement and professionalism of the new unmanned vehicle itself, and on the other hand, each capability must be able to effectively serve the unmanned vehicle system. The new unmanned vehicle capability indicators are similar to the current vehicle capability system architecture, that is, the first-level indicators of the new unmanned vehicle capability indicator system are still composed of firepower capabilities. , mobility , protection capabilities , accusation capabilities , communication ability and guarantee capabilities It consists of 6 aspects in total, and the secondary indicators subdivided under each first-level indicator reflect the needs and characteristics of unmanned vehicles.

[0075] New unmanned vehicle capability indicator system Figure 2 As shown, the secondary indicators for determining the capability index system of new unmanned vehicles are as follows.

[0076] Firepower capabilities include strike range Hit probability , damage effectiveness , track time and transfer time And other 5 secondary indicators.

[0077] Maneuverability including maximum maneuvering speed , average cross-country speed , maximum mileage , minimum turning radius , Maximum trench width , maximum climbing angle and minimum acceleration time And other 7 secondary indicators.

[0078] Protection capabilities include armor type , armor thickness , nuclear, chemical and biological defense capabilities and special protective performance And other 4 secondary indicators.

[0079] Command and control capabilities include a variety of command methods , Intelligence of the command and control system , command mode robustness and command and control security And other 4 secondary indicators.

[0080] Communication capabilities include a variety of communication methods , Communication transmission distance , communication transmission delay and communication security And other 4 secondary indicators.

[0081] Support capabilities include maintenance capabilities , maintenance capabilities , resource supply capacity And other 3 secondary indicators.

[0082] All secondary indicators constitute the key capability indicator set of new unmanned vehicles. ;in, Indicates the k Key capability indicators, , , , A A capability indicator system for new unmanned vehicles; Represents the total number of key capability indicators of new unmanned vehicles.

[0083] Step 2.2: Needs satisfaction assessment process.

[0084] As a key component of the unmanned vehicle system, new unmanned vehicles play a crucial role in the system's capabilities and application. By analyzing and evaluating their contribution to system effectiveness, we clarify their position and effectiveness within the system. Based on specific effective application scenarios, we construct a mathematical model for evaluating equipment requirements satisfaction based on a value function.

[0085] In different effective application scenarios, the relative importance of key capability indicators of new unmanned vehicles and other unmanned vehicle systems is different, that is, different effective application scenarios require different new unmanned vehicle capability characteristics. For different scenarios, the weight coefficients of the importance of key capability indicators of new unmanned vehicles are determined through expert scoring method or hierarchical analysis method. The corresponding importance weight set: .

[0086] For all valid application scenarios , we can establish the corresponding overall set of importance weights, .

[0087] Furthermore, the degree to which the key capability indicators of unmanned vehicle systems, such as new unmanned vehicles, satisfy the requirements of different scenarios varies across different effective application scenarios. This requires analyzing the demand-satisfaction characteristics of each key capability indicator for different scenarios. For different effective application scenarios, a value function can be used to describe the demand-satisfaction characteristics of each key capability indicator for each scenario, and a mapping relationship can be established between capability indicator values ​​and demand satisfaction.

[0088] By targeting effective application scenarios Key capability indicators The corresponding value function , convert the capability index value into demand satisfaction, .

[0089] Usually, the ability indicators are independent and decoupled from each other, and the effectiveness of key capabilities can only be reflected by the effective joint action of each indicator. Key ability indicators are usually determined by expert scoring method. Effective application scenarios The satisfaction .

[0090] in, Indicates the l Key Capability Indicators Effective application scenarios The satisfaction score results, L Represents the total number of experts. A more accurate value function can also be constructed by other methods. Usually, the demand satisfaction determined by the value function is a normalized numerical value, .

[0091] On this basis, a comprehensive assessment of vehicle demand satisfaction can be conducted. First, for effective application scenarios , calculate each key performance indicator Demand satisfaction , and then calculate the equipment's satisfaction with the scenario ,have .

[0092] Then, for all effective application scenarios of new unmanned vehicles, consider the importance of different effective application scenarios and calculate the comprehensive demand satisfaction of the equipment ,have .

[0093] in, n Indicates the total number of effective application scenarios; Indicates the i The relative importance of each effective application scenario is determined. When both the demand satisfaction and comprehensive demand satisfaction for the mission scenario exceed the agreed satisfaction values, the design indicators of the new unmanned vehicle are effective. This provides an assessment of the comprehensive demand satisfaction of the new unmanned vehicle for all effective application scenarios, which can provide effective data analysis guidance for the design and demonstration of unmanned vehicle systems such as new unmanned vehicles.

[0094] An example analysis of the demand satisfaction evaluation of a new unmanned vehicle is as follows.

[0095] Analysis of typical application scenarios: Based on the design demonstration of a new type of wheeled unmanned vehicle, combined with the design characteristics and index element requirements of the new type of unmanned vehicle, considering the future application characteristics and usage conditions of the new type of unmanned vehicle, mainly examining its three mission scenarios of support, mobility and strike, in order to calculate and evaluate the demand satisfaction of this type of unmanned vehicle.

[0096] By analyzing the above three tasks, the task profile is determined as follows.

[0097] Planning for the mission, To accept the analysis task, Prepare personnel, materials and equipment.

[0098] For node information communication transmission, there are Prepare for communication means, To interconnect nodes.

[0099] To maneuver to the mission area, there are Prepare for maneuver, For mobile deployment, Gather for the target area.

[0100] To carry out destructive strikes, there are Prepare for firepower, To combat implementation, For the evaluation results.

[0101] To protect the equipment itself, there are Prepare tools and equipment, To provide maintenance and repair guarantee.

[0102] For command and control operations, there are Prepare for the command chain, Coordinate and command for mission implementation.

[0103] Mission Profile Set , , , , , , .

[0104] There are new unmanned vehicle effective application scenarios set as follows , To ensure the mission scenario, For mobile mission scenarios, For combat mission scenarios.

[0105] The task profile of each task scenario is determined by analyzing the effective correlation characteristics of the task profile.

[0106] Operation and maintenance support task scenarios The mission profile is .

[0107] Mobile assault mission scenario The mission profile is .

[0108] Fire strike mission scenario The mission profile is .

[0109] By analyzing the internal consistency of task profile states, an expert scoring method was used to determine the consistency set between task profiles in each task scenario. Consistency was divided into six levels, ranging from 0 (complete inconsistency) to 5 (complete consistency). The expert evaluation results were combined to form a task profile consistency evaluation table.

[0110] Operation and maintenance support task scenarios The consistency set between the task profiles is .

[0111] Scenarios with operation and maintenance support tasks The minimum consistency is , the average consistency is .

[0112] Mobile assault mission scenario The consistency set between the task profiles is .

[0113] There are mobile assault mission scenes The minimum consistency is , the average consistency is .

[0114] Fire strike mission scenario The consistency set between the task profiles is .

[0115] There is a fire strike mission scenario The minimum consistency is , the average consistency is .

[0116] Considering the application frequency, system contribution, strength and node criticality of the three application scenarios, the normalized scenario importance is obtained using the comprehensive evaluation method. 、 、 .

[0117] Then we can get the relative importance weight of each scene in the scene set, 、 、 .

[0118] Vehicle demand satisfaction assessment: For a certain type of new wheeled unmanned vehicle, the firepower capability , mobility , protection capabilities , accusation capabilities , communication ability and guarantee capabilities A total of 6 aspects of the first-level indicators determine 27 second-level indicators, that is, determine 27 key capability indicators of new unmanned vehicles, forming a key capability indicator set, .

[0119] The weight coefficients of the importance of key capability indicators of new unmanned vehicles are determined by expert scoring method, and there are operation and maintenance guarantee mission scenarios The corresponding importance weight set .

[0120] Mobile assault mission scenario The corresponding importance weight set .

[0121] Fire strike mission scenario The corresponding importance weight set .

[0122] This can establish an overall set of importance weights for all valid application scenarios: .

[0123] Use expert scoring method to establish the mapping relationship between capability index value and demand satisfaction, and determine key capability indicators through expert scoring Application scenarios demand satisfaction.

[0124] There are key capability indicators to ensure mission scenarios Demand satisfaction .

[0125] There are key capability indicators for maneuver mission scenarios Demand satisfaction .

[0126] There are key capability indicators for strike mission scenarios Demand satisfaction .

[0127] Therefore, the new type of unmanned vehicle can be evaluated and calculated to obtain the support mission scenario Demand satisfaction for .

[0128] This new type of unmanned vehicle is suitable for mobile mission scenarios Demand satisfaction for .

[0129] This new type of unmanned vehicle is used for strike mission scenarios Demand satisfaction for .

[0130] Comprehensive equipment demand satisfaction for .

[0131] Considering meeting 1.5 first-level capability indicators as the reference standard for vehicle demand satisfaction, the vehicle demand satisfaction standard determined by 6 first-level indicators and 27 second-level indicators is .

[0132] The results of the example evaluation show that the satisfaction of the requirements of the new unmanned vehicle for the three application mission scenarios and the vehicle's comprehensive satisfaction are greater than the reference standard of satisfaction. 、 、 、 .

[0133] It shows that the various technical indicators and status parameters of this new type of unmanned vehicle meet the requirements of the unmanned system and the various capability requirements of unmanned vehicles, can effectively complete various tasks that may be performed, and can perform due performance in major and typical scenarios.

[0134] In this application, all actions to obtain signals, information or data are carried out in compliance with the relevant data protection laws and policies of the country where they are located and with the authorization given by the owner of the corresponding device.

[0135] The databases involved in the various embodiments provided herein may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, distributed databases based on blockchains. The processors involved in the various embodiments provided herein may include, but are not limited to, general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic units, data processing logic units based on quantum computing, and the like.

[0136] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0137] This document uses specific examples to illustrate the principles and implementation methods of this application. The description of the above examples is only intended to help understand the method and core concept of this application. At the same time, for those skilled in the art, based on the concept of this application, there may be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting this application.

Claims

1. A method for evaluating equipment requirements satisfaction, characterized in that: include: Based on the actual tasks performed by the equipment, a set of effective equipment application scenarios is constructed, including: In the form of mission profiles, the actual execution tasks of the equipment are divided into multiple serial minimum mission units; the minimum mission units are effective application scenario factors; the effective application scenario factors correspond to mission states; each mission profile includes at least two mission states; Based on the minimum task unit, the inherent impact relationships between different task profiles are compared to establish a cross-impact matrix; determining effective correlation characteristics of task profiles according to the cross-impact matrix; Constructing an effective equipment application scenario set according to effective correlation characteristics of the mission profile; the effective equipment application scenario set includes multiple effective application scenarios; Conduct effectiveness evaluation for each effective application scenario and determine the effectiveness evaluation table, including: According to the internal consistency between different task states, a cross-consistency evaluation matrix is ​​constructed; Based on the cross consistency evaluation matrix, the task states corresponding to all task profiles are comprehensively combined, and the valid task profiles are combined into a valid scenario; Establishing a consistency set for each valid scenario, and constructing a validity evaluation table based on the consistency set; Based on the effectiveness evaluation table, the importance of different effective application scenarios is evaluated to determine the importance of the scenarios, specifically including: Based on the effectiveness evaluation table, the importance of effective application scenarios is comprehensively evaluated according to the measurement indicators; the measurement indicators include the frequency of application , system contribution , strength and node criticality The importance is: ,in, For the i The importance of an effective application scenario, For the i Frequency of use of effective application scenarios; For the i The system contribution of each effective application scenario, For the i The strength of an effective application scenario, For the i The criticality of nodes in effective application scenarios; Construct a set of key capability indicators based on the equipment capability indicator system; For any effective application scenario, convert the key capability indicators in the key capability indicator set into the demand satisfaction of the key capability indicators for the effective application scenario; The comprehensive equipment demand satisfaction is determined based on the importance of the scenario and the demand satisfaction, specifically including: For any effective application scenario, determine the weight coefficient of the importance of key capability indicators of equipment through expert scoring method or hierarchical analysis method; Determining the satisfaction level of the equipment for the effective application scenario based on the weight coefficient and the satisfaction level of the demand; The comprehensive satisfaction level of the equipment demand is determined based on the equipment's satisfaction level with the effective application scenario and the weight of the scenario's importance; the weight of the scenario's importance is: ,in, is the importance of the scene, For the i The importance of an effective application scenario, i ∈[1, n ], n is the total number of scenes; For effective application scenarios , calculate each key performance indicator Demand satisfaction , and then calculate the equipment's satisfaction with the scenario ,have ; For all effective application scenarios of new unmanned vehicles, consider the importance of different effective application scenarios and calculate the comprehensive demand satisfaction of equipment ,have .

2. The equipment requirement satisfaction evaluation method according to claim 1, characterized in that: For any effective application scenario, the key capability indicators in the key capability indicator set are converted into the demand satisfaction of the key capability indicators for the effective application scenario, including: Selecting a key capability indicator corresponding to the effective application scenario from the key capability indicator set; According to the value function corresponding to the key capability indicator selected by the effective application scenario, the key capability indicator is converted into the demand satisfaction of the key capability indicator for the effective application scenario; the demand satisfaction is ,in, For demand satisfaction, For the i The first step to effectively use scene screening k Key Capability Indicators The corresponding value function; or, Through the expert scoring method, the key capability indicator is converted into the demand satisfaction of the key capability indicator for the effective application scenario; the demand satisfaction is ,in, L is the total number of experts, For the Key Capability Indicators Effective application scenarios The satisfaction rating results.

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