Helicopter transmission system index management method, system and device

Abstract

The invention discloses a helicopter transmission system index management method, system and device, and relates to the technical field of index management, and the method comprises the steps: obtaining a design demand of a helicopter transmission system; the design requirements of the helicopter transmission system are decomposed, and performance indexes are identified; decomposing the performance indexes into components or parts, and generating an index tree with a hierarchical structure according to a hierarchical relationship among the parts; analyzing all influence factors of quantitative indexes in the performance indexes; respectively establishing evaluation rules of different types of indexes; determining indexes which do not meet the design requirements of the transmission system according to evaluation rules of different types of indexes, and constructing a multi-objective optimization mathematical model; performing optimization solution on the multi-objective optimization mathematical model to obtain an optimization value; redesigning according to the optimized value; the method effectively solves the problem of conflict between indexes, and further realizes optimization and coordination of the index parameters of the helicopter transmission system.

Description

Technical Field

[0001] This invention relates to the field of indicator management technology, specifically to a method, system, and device for managing indicators of a helicopter transmission system. Background Technology

[0002] With the development of national defense and the national economy, users have increasingly higher requirements for the functions and performance of helicopters. Similarly, the design requirements for helicopter transmission systems are also becoming more stringent. The quality of helicopter transmission system design is often evaluated through multiple indicators. However, the diversity, complexity, and uncertainty of these indicators make the management of transmission system indicators particularly complex and difficult. Therefore, constructing a scientific, reasonable, and feasible indicator management method is a fundamental prerequisite for the comprehensive evaluation of configuration schemes and a cornerstone for rapidly and effectively improving helicopter transmission systems and achieving independent and controllable research and development of new helicopter transmission systems.

[0003] Existing research, such as the article "Indicator Management and Detection Sensitivity Analysis of Space Gravitational Wave Detection System Based on MBSE" published in the Chinese core journal *Journal of Graphics*, Volume 45, Issue 2, 2024, constructs an indicator parameter model for a space gravitational wave detection system using the System Modeling Language (SysML), analyzes the model content, and filters and records indicator parameters. This method can uniformly manage and trace all indicator content, providing support for the top-level indicator demonstration and system-level performance evaluation of the space gravitational wave detection system.

[0004] However, this study only considered the construction and traceability of the indicator system, with little research on the source and decomposition of indicators, i.e., how to obtain comprehensive indicators and establish their connection with the physical structure. In terms of indicator management, existing research most commonly uses methods based on system modeling languages. This method facilitates the graphical representation of indicator parameters, establishes a hierarchical structure between indicators, and enables indicator traceability. However, existing research rarely elaborates on the extraction of indicators from requirements, the sources of indicators are unclear, and the comprehensiveness of the indicator system cannot be guaranteed. This makes it impossible to define and map the design boundaries of each component of the transmission system while meeting the overall design requirements and indicators, resulting in fragmented indicator management and difficulty in supporting the efficient design and optimization of helicopter transmission systems. Summary of the Invention

[0005] To address the shortcomings of existing technologies in defining and mapping the design boundaries of various components in a transmission system while meeting overall design requirements and specifications, this invention proposes a method, system, and device for managing helicopter transmission system indicators. By analyzing indicators from requirements and decomposing them to transmission system components, a more comprehensive indicator system for helicopter transmission systems is established. The influencing factors of key performance indicators of helicopter transmission systems are analyzed, and the relationships between indicators are established. Subsequently, corresponding evaluation rules are established for different types of indicators, and unmet indicators are coordinated and optimized. This streamlines the process of scheme verification and coordination from "design requirements - indicator system - indicator evaluation - indicator coordination," improving the indicator management process of helicopter transmission systems and thus solving the problems existing in current technologies.

[0006] A method for managing the performance indicators of a helicopter transmission system includes the following steps: Obtain the design requirements for the helicopter transmission system; decompose the design requirements for the helicopter transmission system and identify the performance indicators. The performance indicators are decomposed into components and parts, and a hierarchical indicator tree is generated based on the hierarchical relationship between components and parts. The factors that can affect the quantitative indicators in the performance indicators are analyzed based on the indicator tree, the indicators with overlapping influencing factors are screened out, and the correlation between the indicators with overlapping influencing factors is established. Evaluation rules are established based on the estimated values ​​and threshold values ​​of different types of indicators. Based on the evaluation rules, a multi-objective optimization mathematical model is constructed to optimize indicators that do not meet the design requirements of the transmission system. Specifically, if only one indicator is not met, the influencing factors of that indicator are selected as design variables, and that indicator is used as the optimization objective. If multiple indicators are not met, the common influencing factors among the indicators are used as design variables, the indicators that do not meet the design requirements are used as optimization objectives, and indicators that are related to the indicators that do not meet the design requirements are selected as constraints, thereby constructing a multi-objective optimization mathematical model. The multi-objective optimization mathematical model is optimized and solved to obtain the optimized index that meets the design requirements, so as to realize the design of the helicopter transmission system.

[0007] Furthermore, the performance indicators include weight, transmission efficiency, strength, vibration and noise, dry running capability, overhaul interval, general quality characteristics, economy, technical risk, and process feasibility.

[0008] Furthermore, the hierarchical index tree specifically includes: The first layer includes the helicopter transmission system indicator system; The second layer includes the weight, transmission efficiency, strength, vibration, dry running capacity, overhaul interval, general quality characteristics, economy, technical risks, and process feasibility of the transmission system. The third level of indicators includes the weight, transmission efficiency, strength, vibration, dry running capacity, overhaul interval, general quality characteristics, economy, technical risk, and process feasibility of each reducer, as well as the weight, strength, vibration, general quality characteristics, economy, technical risk, and process feasibility of the drive shaft. The fourth level of indicators includes the weight, strength, general quality characteristics, technical risks, process feasibility, gear pair transmission efficiency, and the weight, transmission efficiency, and strength of the bearings.

[0009] Furthermore, the different types of indicators are classified by comparing the estimated values ​​of all quantitative indicators with the indicator thresholds; wherein, the indicator thresholds are the demand values ​​corresponding to the transmission system indicators.

[0010] Furthermore, the NSGA-II optimization algorithm is used to solve the multi-objective optimization mathematical model.

[0011] The present invention also includes a helicopter transmission system performance management system, comprising: The acquisition module is used to acquire the design requirements of the helicopter transmission system; decompose the design requirements of the helicopter transmission system and identify the performance indicators. The indicator building module is used to decompose performance indicators into components and parts, generate an indicator tree with a hierarchical structure based on the hierarchical relationship between components and parts, analyze the factors that can affect quantitative indicators in the performance indicators based on the indicator tree, screen out indicators with overlapping influencing factors, and establish the correlation between indicators with overlapping influencing factors. The multi-objective optimization model building module is used to establish evaluation rules based on the estimated values ​​and threshold values ​​of different types of indicators. Based on the evaluation rules, a multi-objective optimization mathematical model is constructed to optimize indicators that do not meet the design requirements of the transmission system. Specifically, if only one indicator is not met, the influencing factors of that indicator are selected as design variables, and that indicator is used as the optimization objective. If multiple indicators are not met, the common influencing factors among the indicators are used as design variables, the indicators that do not meet the design requirements are used as optimization objectives, and indicators that are related to the indicators that do not meet the design requirements are selected as constraints, thereby constructing a multi-objective optimization mathematical model. The management module is used to optimize and solve the multi-objective optimization mathematical model to obtain the optimized indicators that meet the design requirements, so as to realize the design of the helicopter transmission system.

[0012] This invention provides a method for managing the performance indicators of a helicopter transmission system, which has the following beneficial effects: This invention decomposes performance indicators to components and parts, generates a hierarchical indicator tree based on the hierarchical relationship between components and parts, and adopts a top-down design requirement (indicator) allocation method, effectively solving the problem of ambiguous indicators for transmission system components, thereby realizing the definition and mapping of design boundaries for each component of the transmission system. By decomposing indicators into component-level indicators and part-level indicators, an indicator system with hierarchical relationships is established, and lower-level indicators can be traced back to the upper-level indicators that form combinations with them. This method effectively solves the problem of difficult indicator tracing, realizes the mapping and allocation of overall requirements to the requirements of the transmission system and its components, and thus achieves unified management of helicopter transmission system indicator parameters. At the same time, a multi-objective optimization method is adopted, using the common influencing factors between indicators as design variables, and optimizing indicators that do not meet design requirements, effectively solving the problem of conflicts between indicators. Under the premise of meeting the overall design requirements and indicators, this method completes the definition and mapping of design boundaries for each component of the transmission system, thereby realizing the optimized coordination of helicopter transmission system indicator parameters, laying the foundation for efficient design of helicopter transmission systems. Attached Figure Description

[0013] Figure 1 This is a flowchart of the helicopter transmission system index management method in an embodiment of the present invention; Figure 2 This is a diagram illustrating the requirements for the helicopter transmission system in an embodiment of the present invention. Figure 3 This is an exploded view of the weight parameters of the helicopter transmission system in an embodiment of the present invention; Figure 4 This is a traceability matrix diagram of the helicopter transmission system indicators in an embodiment of the present invention; Figure 5 This is a diagram showing the factors affecting the weight index of the bevel gear in the helicopter transmission system in an embodiment of the present invention. Detailed Implementation

[0014] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments.

[0015] This invention proposes a method for managing the performance indicators of a helicopter transmission system, which specifically includes the following steps: S1. Decompose the requirements of the helicopter transmission system and identify functional and performance indicators.

[0016] Functional specifications include, but are not limited to, power transmission, load transmission, deceleration and reversing, drive accessories, parallel transmission, cooling and heat dissipation, and providing installation interfaces.

[0017] Performance indicators include, but are not limited to, weight, transmission efficiency, strength, vibration and noise, dry running capacity, overhaul interval, general quality characteristics, economy, technical risk, and process feasibility.

[0018] S2. Decompose the indicators and establish a complete indicator tree for the transmission system, from the overall system and sub-components to individual parts.

[0019] The performance indicators in S1 are divided into quantitative and qualitative indicators. Quantitative indicators include weight, transmission efficiency, strength, vibration and noise, dry running capacity, and overhaul interval. The rest are qualitative indicators. The performance indicators are further decomposed to components or parts, forming a hierarchical indicator tree based on the hierarchical relationship between the components.

[0020] The indicator tree encompasses the relationships between higher and lower level indicators. The first level includes the helicopter transmission system indicator system. The second level includes system-level indicators such as weight, transmission efficiency, strength, vibration, dry running capability, overhaul interval, general quality characteristics, economy, technical risk, and process feasibility. The third level includes indicators such as the weight, transmission efficiency, strength, vibration, dry running capability, overhaul interval, general quality characteristics, economy, technical risk, and process feasibility of each reducer, and the weight, strength, vibration, general quality characteristics, economy, technical risk, and process feasibility of the drive shaft. The fourth level includes indicators such as the weight, strength, general quality characteristics, technical risk, and process feasibility of each gear, gear pair transmission efficiency, and bearing weight, transmission efficiency, and strength.

[0021] S3. Analyze the influencing factors of the indicators and establish the correlation between them. Analyze all the influencing factors of the quantitative indicators in S2, determine their degree of influence or sensitivity to the indicators, and divide them into primary and secondary influencing factors. Based on the logical relationship between the influencing factors and the indicators, further determine the correlation between the indicators and between the various influencing factors.

[0022] Determine the calculation formula for the quantitative indicators, and identify the variables in the formula that have a significant impact on the results as influencing factors.

[0023] The indicators with overlapping influencing factors are screened out, and the correlation between the indicators is established. (When optimizing a quantitative indicator that does not meet the requirements (such as indicator A), the indicators that are related to indicator A are selected as constraints according to the correlation between the indicators. The purpose is to ensure that while indicator A meets the requirements through optimization, the indicators related to it will not become unmet indicators due to changes in common influencing factors.) That is, changes in influencing factors will affect these indicators at the same time, and changes in these indicators may also affect another interrelated indicator.

[0024] S4. Construct evaluation rules for indicators. Establish evaluation rules based on different types of indicators (extremely large indicators, extremely small indicators, and range-based indicators), compare the estimated values ​​with the design thresholds, and identify the indicators that do not meet the design requirements.

[0025] S5. Indicator Coordination and Optimization. If only one indicator is not satisfied, the main influencing factor of that indicator is selected as the design variable, and that indicator becomes the optimization objective. If multiple indicators are not satisfied, the common influencing factors among the indicators are identified, and these common influencing factors become the design variables. The remaining quantitative indicators serve as constraints, and the unsatisfied indicators become the optimization objectives. An optimization algorithm is used for multi-objective optimization. Finally, the coordinated design values ​​are returned to the scheme design stage for iteration.

[0026] This invention solves the problem of management difficulties caused by the numerous indicators of helicopter transmission systems in the prior art. It realizes the mapping and indicator allocation of overall usage requirements to the needs of transmission systems and components, realizes the iterative design of helicopter transmission system design requirements and indicators, and realizes the evaluation and coordination of helicopter transmission system component indicators.

[0027] Construction of the transmission system indicator system. By taking the overall requirements of the transmission system as the top-level requirements, quantitative and qualitative analyses are then performed on all requirements to determine qualitative and quantitative requirements. Quantitative requirements include specific design values, while qualitative requirements do not. Based on semantic analysis, the requirements are converted into indicators. Quantitative indicators include attributes such as name, threshold, unit, and type (extremely large indicator, extremely small indicator, range indicator). Extremely large means the indicator's estimated value should be greater than the threshold; extremely small means the indicator's estimated value should be less than the threshold; and range indicator means the indicator's estimated value should be between the upper and lower thresholds. Through semantic analysis, the requirement description is transformed into a complete indicator definition. The currently established indicators belong to the system level. System-level indicators are decomposed into component and part levels, forming more granular component indicators. In the system modeling tool, based on the hierarchical relationship between all indicators, a traceable, hierarchical indicator system is constructed. Bottom-level component indicators can be traced back to the system-level indicators that form combinations with them, constructing a traceability matrix to realize the mapping and indicator allocation of overall usage requirements to the transmission system and its components.

[0028] Evaluation of transmission system indicators. Calculate the estimated values ​​of all quantitative indicators in the indicator system. Empirical formulas, simulations, experiments, or other methods can be used to estimate quantitative indicators. Determine the evaluation results of qualitative indicators in the existing indicator system. Expert scoring or other methods can be used to evaluate qualitative indicators. Transmission system quantitative indicators are categorized into extremely large indicators. max ( x Minimal Indicators min ( x ), range-type indicatorsT The demand value corresponding to the indicator is used as the threshold. H Establish evaluation criteria for each type: max ( x )≥ H , min ( x )≤ H , T ∈[ H 1, H 2). In this way, the quantitative indicators of the transmission system that do not meet the design requirements are identified and then transferred to the next step for indicator coordination and optimization.

[0029] Based on the identified unmet requirements in the previous step, there are conflicts between these key performance indicators. For example, lightweighting may lead to a decrease in stiffness, which in turn affects dynamic characteristics, and dynamic characteristics will affect transmission efficiency. To address the optimization and coordination problem of key performance indicators in the transmission system, a multi-objective optimization mathematical model is constructed, using geometric parameters as design variables. X including but not limited to gear module m Number of teeth z Shaft diameter d Tooth width b Pressure angle α ,Right now X =( m , z , d , b , i Using unspecified quantitative indicators as the objective function, it may include weight minimization. minf 1( x ), Maximizing transmission efficiency maxf 2( x ), Minimize dynamic characteristics minf 3( x The constraints include, but are not limited to, strength constraints, tooth count constraints, pressure angle constraints, overlap ratio constraints, and quantitative indicator requirements constraints. In summary, the multi-objective optimization model can be described as follows:

[0030] in, σ H For gear contact stress, [ σ H [This refers to the allowable contact stress of the gear.] σ F For gear bending stress, [ σ F [This refers to the allowable bending stress of the gear.] α For pressure angle, εFor overlap ratio. Based on the established multi-objective optimization model, the NSGA-II algorithm is used to optimize the gear geometry parameters. The optimized gear design parameters are then returned to the designers for redesign, resolving issues such as unmet performance targets and coordination conflicts.

[0031] Example: Taking the management of indicators for a single-rotor helicopter transmission system as an example, the process for managing helicopter transmission system indicators is as follows: Figure 1 As shown: Step 1: Determine the design specifications for the transmission system. Quantitative requirements include weight requirements, transmission efficiency requirements, dynamic characteristic requirements, dry-running requirements, overhaul interval requirements, ambient temperature requirements, fatigue strength requirements, static strength requirements, and ballistic impact resistance requirements. Qualitative requirements include technical risk requirements, economic requirements, process feasibility requirements, maintainability requirements, interchangeability requirements, NBC protection requirements, and assembly requirements. The design requirements for a helicopter transmission system are as follows: Figure 2 As shown. Based on semantic analysis, the demand is transformed into indicators. Quantitative indicators, such as the dry-running demand (the reducer should be able to continue operating stably for more than half an hour after the lubrication system is cut off), are transformed into dry-running capacity indicators (extremely large indicators, with a threshold of 30 minutes), and environmental temperature demand (the atmospheric ambient temperature of the helicopter transmission system is -54°C). ℃ ~+55 ℃ Convert to ambient temperature index (range-type index, threshold is [-54)). ℃ +55 ℃ Qualitative indicators can be directly converted, such as converting technical risk requirements into technical risk indicators.

[0032] Step Two: Index Decomposition. The weight index of the transmission system is decomposed into the weight of each shaft system, forming the weight component-level index of the shaft system. Each component-level index can be further decomposed into parts, forming the... i Weight index of multistage gear transmission ( i ∈ R The weights of the power input shaft, main rotor shaft, and tail drive shaft are calculated. Transmission efficiency indicators are broken down into individual gear pairs and bearings, forming component-level efficiency indicators. The dry-running capacity of the transmission system can be broken down to the reducer, forming component-level indicators. The impact resistance of the transmission system can be broken down to shaft components, and further to the tail drive shaft, forming component-level indicators. Fatigue strength and static strength indicators can be broken down to individual components, forming component-level indicators. Overhaul intervals can be broken down to the reducer, forming component-level indicators.

[0033] Step 3: Indicator System Construction. For each decomposed indicator, its name, indicator value, unit, type, and description can form a complete Block type. SysMLElements are used to create a block definition graph, linking each block to others through hierarchical relationships of indicators. Lower-level indicators can be traced back to their parent indicators. Taking the weight of a traditional system as an example, the weight decomposition of a transmission system includes the weight of each component and their combination relationships, such as... Figure 3 As shown, the resulting traceability matrix is ​​as follows: Figure 4 As shown, the overall demand is mapped to the demand of the transmission system and its components, and the indicators are allocated accordingly.

[0034] Step Four: Indicator Evaluation. Calculate the estimated values ​​of all quantitative indicators in the indicator system. Empirical formulas, simulations, experiments, or other methods can be used to estimate the quantitative indicators. Determine the evaluation results of the qualitative indicators in the existing indicator system. Expert scoring or other methods can be used to evaluate the qualitative indicators. Quantitative indicators for the transmission system are categorized into extremely large indicators. max ( x Minimal Indicators min ( x ), range-type indicators T The demand value corresponding to the indicator is used as the threshold. H Establish evaluation criteria for each type: max ( x )≥ H , min ( x )≤ H , T ∈[ H 1, H [2]; In this way, the quantitative indicators of the transmission system that do not meet the design requirements are determined and passed on to the next step for indicator coordination and optimization.

[0035] Step 5: Analysis of factors influencing key performance indicators. Weight indicators are analyzed using... Calculation; Gear efficiency indicators are based on ISO 14179-1 Gear thermal power - Part 1: Oil sump temperature at 95°C. ℃ The thermal balance of the gear assembly was calculated using the "Thermal Balance Calculation Method"; bearing efficiency was calculated using the Palmgren method; and gear dynamic characteristics were calculated using static transmission error. Analysis of the formulas revealed that these three indicators share a common major influencing factor: gear material density. ρ Number of teeth z Gear module m Pressure angle α helix angle β Establish the correlation between indicators, taking the factors affecting the weight of bevel gears as an example. Figure 5 Analysis of factors affecting weight.

[0036] Step Six: Indicator Coordination and Optimization. The indicators that do not meet the requirements are taken as optimization objectives, and the indicators related to these indicators are taken as constraints. Taking the unmet requirements of helical gear weight and transmission efficiency as an example, the dynamic characteristic indicators of helical gear are taken as constraints. A multi-objective optimization mathematical model is constructed to address the optimization coordination problem of these three indicators.

[0037] Objective function establishment: For the weight index, use the weight of the part. f 1( x The goal is to minimize transmission efficiency; for transmission efficiency indicators, the transmission efficiency is the primary factor. f 2( x The goal is to maximize the gear module. m Number of teeth z Tooth width b helix angle β Pressure angle α As design variables, constraints include, but are not limited to, dynamic characteristics. f 3( x )≤[ f 3( x )]([ f 3( x [The values ​​are] dynamic characteristic design requirements, strength constraints, tooth count constraints, pressure angle constraints, and contact ratio constraints. In summary, the description of the coordinated optimization model for these three indicators is as follows:

[0038] ; in, σ H For gear contact stress, [ σ H [This refers to the allowable contact stress of the gear.] σ F For gear bending stress, [ σ F [This refers to the allowable bending stress of the gear.] α For pressure angle, ε For overlap ratio. Based on the established multi-objective optimization model, the NSGA-II algorithm is used to optimize the gear geometry parameters. The optimized gear design parameters are then returned to the designers for redesign, resolving issues such as unmet performance targets and coordination conflicts.

[0039] Based on the same inventive concept, this invention also proposes a helicopter transmission system index management system, comprising: The acquisition module is used to acquire the design requirements of the helicopter transmission system; it decomposes the design requirements of the helicopter transmission system and identifies the performance indicators.

[0040] The indicator construction module is used to decompose performance indicators into components and parts, generate an indicator tree with a hierarchical structure based on the hierarchical relationship between components and parts, analyze the factors that can affect quantitative indicators in the performance indicators based on the indicator tree, screen out indicators with overlapping influencing factors, and establish the correlation between indicators with overlapping influencing factors.

[0041] The multi-objective optimization model building module is used to establish evaluation rules based on the estimated values ​​and threshold values ​​of different types of indicators. Based on the evaluation rules, a multi-objective optimization mathematical model is constructed to optimize indicators that do not meet the design requirements of the transmission system. Specifically, if only one indicator is not met, the influencing factors of that indicator are selected as design variables, and that indicator is used as the optimization objective. If multiple indicators are not met, the common influencing factors among the indicators are used as design variables, the indicators that do not meet the design requirements are used as optimization objectives, and indicators that are related to the indicators that do not meet the design requirements are selected as constraints, thereby constructing a multi-objective optimization mathematical model.

[0042] The management module is used to optimize and solve the multi-objective optimization mathematical model to obtain the optimized indicators that meet the design requirements, so as to realize the design of the helicopter transmission system.

[0043] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A method for managing the performance indicators of a helicopter transmission system, characterized in that, Includes the following steps: Obtain the design requirements for the helicopter transmission system; decompose the design requirements for the helicopter transmission system and identify the performance indicators. The performance indicators are decomposed into components and parts, and a hierarchical indicator tree is generated based on the hierarchical relationship between components and parts. The factors that can affect the quantitative indicators in the performance indicators are analyzed based on the indicator tree, the indicators with overlapping influencing factors are screened out, and the correlation between the indicators with overlapping influencing factors is established. Evaluation rules are established based on the estimated values ​​and threshold values ​​of different types of indicators. Based on the evaluation rules, a multi-objective optimization mathematical model is constructed to optimize indicators that do not meet the design requirements of the transmission system. Specifically, if only one indicator is not met, the influencing factors of that indicator are selected as design variables, and that indicator is used as the optimization objective. If multiple indicators are not met, the common influencing factors among the indicators are used as design variables, the indicators that do not meet the design requirements are used as optimization objectives, and indicators that are related to the indicators that do not meet the design requirements are selected as constraints, thereby constructing a multi-objective optimization mathematical model. The multi-objective optimization mathematical model is optimized and solved to obtain the optimized index that meets the design requirements, so as to realize the design of the helicopter transmission system.

2. The helicopter transmission system performance management method according to claim 1, characterized in that, The performance indicators include weight, transmission efficiency, strength, vibration and noise, dry running capacity, overhaul interval, general quality characteristics, economy, technical risk and process feasibility.

3. The helicopter transmission system performance management method according to claim 1, characterized in that, The hierarchical index tree specifically includes: The first layer includes the helicopter transmission system indicator system; The second layer includes the weight, transmission efficiency, strength, vibration, dry running capacity, overhaul interval, general quality characteristics, economy, technical risks, and process feasibility of the transmission system. The third level of indicators includes the weight, transmission efficiency, strength, vibration, dry running capacity, overhaul interval, general quality characteristics, economy, technical risk, and process feasibility of each reducer, as well as the weight, strength, vibration, general quality characteristics, economy, technical risk, and process feasibility of the drive shaft. The fourth level of indicators includes the weight, strength, general quality characteristics, technical risks, process feasibility, gear pair transmission efficiency, and the weight, transmission efficiency, and strength of the bearings.

4. The helicopter transmission system performance management method according to claim 1, characterized in that, The different types of indicators are classified by comparing the estimated values ​​of all quantitative indicators with the indicator thresholds; wherein, the indicator thresholds are the demand values ​​corresponding to the transmission system indicators.

5. The helicopter transmission system performance management method according to claim 1, characterized in that, The NSGA-II optimization algorithm is used to solve the multi-objective optimization mathematical model.

6. A helicopter transmission system performance management system, characterized in that, include: The acquisition module is used to acquire the design requirements of the helicopter transmission system; decompose the design requirements of the helicopter transmission system and identify the performance indicators. The indicator building module is used to decompose performance indicators into components and parts, generate an indicator tree with a hierarchical structure based on the hierarchical relationship between components and parts, analyze the factors that can affect quantitative indicators in the performance indicators based on the indicator tree, screen out indicators with overlapping influencing factors, and establish the correlation between indicators with overlapping influencing factors. The multi-objective optimization model building module is used to establish evaluation rules based on the estimated values ​​and threshold values ​​of different types of indicators. Based on the evaluation rules, a multi-objective optimization mathematical model is constructed to optimize indicators that do not meet the design requirements of the transmission system. Specifically, if only one indicator is not met, the influencing factors of that indicator are selected as design variables, and that indicator is used as the optimization objective. If multiple indicators are not met, the common influencing factors among the indicators are used as design variables, the indicators that do not meet the design requirements are used as optimization objectives, and indicators that are related to the indicators that do not meet the design requirements are selected as constraints, thereby constructing a multi-objective optimization mathematical model. The management module is used to optimize and solve the multi-objective optimization mathematical model to obtain the optimized indicators that meet the design requirements, so as to realize the design of the helicopter transmission system.

7. A computer device for managing the indicators of a helicopter transmission system, characterized in that, include: A memory, a processor, and a computer program stored in the memory, wherein the processor executes the computer program to implement the steps of the helicopter transmission system index management method according to any one of claims 1-5.

8. A readable storage medium, characterized in that, The readable storage medium stores a computer program, which includes program instructions that, when executed by a processor, perform the steps of the helicopter transmission system performance management method according to any one of claims 1-5.

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