Aero-engine service station capability demand assessment method

By evaluating multiple key indices of aero engine service stations, quantifying the demand differences of service stations, solving the blindness of resource allocation and providing scientific management and data application guidance.

CN119151230AInactive Publication Date: 2024-12-17STATE-OWNED SICHUAN WEST MASCH FACTORY
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Patent Information

Application Number
CN202411361737.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-09-27
Publication Date
2024-12-17
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

The importance and demand of aircraft engine service stations cannot be quantified, resulting in blind resource allocation and lack of scientific basis and guidance.

Method used

A method of capability requirements evaluation for aircraft engine service stations is adopted, and the engine comprehensive index, site allocation capacity, flight intensity, unit importance, regional importance, fault evaluation index and working characteristic index are obtained, and normalized processing and weight allocation are carried out. , calculate the comprehensive evaluation index of the site to quantify the demand differences between different service stations.

Benefits of technology

It has achieved the quantification of service station capabilities requirements, provided scientific resource allocation guidance, and ensured the rational application and management of data.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses an aero-engine service station capability demand assessment method, and relates to the technical field of aviation equipment maintenance. The method comprises the following steps: respectively obtaining an engine comprehensive index A1, a station allocation capability A2, flight intensity A3, unit importance A4, regional importance A5, a fault evaluation index A6 and an operating characteristic index A7; performing normalization processing on the obtained numerical values, and performing distribution according to weights to obtain a station comprehensive evaluation index A; the objective of evaluating the capability demand condition of the existing service station and quantifying the demand difference of different service stations is achieved.
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Description

Technical Field

[0001] The invention relates to the technical field of aviation equipment maintenance, and in particular to a method for evaluating the capability requirements of an aviation engine service station. Background Art

[0002] Currently, aviation engine service stations across the country are set up mainly based on user needs and usage location conditions, but the configuration of personnel, materials, etc. are all based on experience. The importance and demand of service stations cannot be quantified, and there is a certain blindness in the resource allocation process.

[0003] Therefore, an assessment method suitable for the capacity requirements of aircraft engine service stations was developed. By collecting important data statistics and inherent attributes within the service stations, the capacity requirements of existing service stations were evaluated, the demand differences among different service stations were quantified, and a scientific basis and guidance were provided for resource allocation of various service stations. Summary of the invention

[0004] The purpose of the present invention is to provide a method for evaluating the capacity demand of an aircraft engine service station, so as to evaluate the capacity demand of existing service stations and quantify the demand differences between different service stations.

[0005] In order to achieve the above object, the present invention adopts the following technical means:

[0006] A method for evaluating the capacity requirements of an aviation engine service station includes obtaining an engine comprehensive index A1, a station allocation capacity A2, a flight intensity A3, a unit importance A4, a regional importance A5, a fault evaluation index A6, and a work characteristic index A7 respectively;

[0007] The obtained values ​​are normalized to obtain

[0008] According to the weight distribution, the comprehensive evaluation index A of the site is obtained;

[0009] Further, the engine comprehensive index A1 is determined according to the engine model and quantity of the service station;

[0010]

[0011] Where n is the total number of engine types available at the site, N e,i is the number of engines of the i-th type of aircraft, S e,i is the score of the i-th engine;

[0012] The score of the engine is determined based on the number of engines installed and the level of advancement of the engine. The greater the number of engines installed on a single model, the lower the score of the engine, and the more advanced the engine, the lower the score.

[0013] Furthermore, the site allocation capacity A2 is determined according to the type of available transportation and the distance from the factory area;

[0014]

[0015] Among them, M pe 、M tn 、M rd ∈{0, 1}, indicating whether airplane, train, or land transportation exists, (M pe +M tn +M rd ) represents the total traffic dimension of the site, d represents the distance level between the site and the shipping unit, d∈{1, 2, 3, 4, 5}.

[0016] Furthermore, the flight intensity A3 is determined according to the number of flight tests at the site and the number of flight test days;

[0017]

[0018] Among them, N tn is the number of times the station participated in flight tests, D tn Days for flight testing.

[0019] Furthermore, the unit importance A4 is determined according to the type and quantity of units corresponding to the service station;

[0020]

[0021] Where s is the number of unit types at the site, P i is the score of the i-th unit;

[0022] The score of the unit is determined according to the customer importance of the corresponding site, and the core customer score is greater than the important customer score, which is greater than the general customer score.

[0023] Furthermore, the regional importance A5 is determined according to the region to which the site corresponds, the airport group, the airport type, the airport characteristics, and the flight test mode;

[0024] A5=S at ·S sn ·k

[0025] Among them, S at is the airport score, S sn is the score of the region, k is the flight test score;

[0026] The airport score is determined by determining the airport characteristics, which include the number of engine models involved, the number of maintenance personnel involved, and the number of large maintenance equipment. Different airport characteristics correspond to different scores. For the same airport characteristics, the score of a Class I airport is greater than that of a Class II airport.

[0027] The regional score is determined by the regional passenger flow, the level of development of the city where the station is located, and the degree of openness to the outside world;

[0028] The flight test score is determined by a flight test mode, and the flight test mode includes a local flight test and a roving flight test, and the score of the roving flight test is greater than the score of the local flight test.

[0029] Furthermore, the fault evaluation index A6 is determined according to the total number of faults, the number of major quality problems, the engine model and the number of engines corresponding to the site;

[0030]

[0031] Where n is the total number of engine types available at the site, N e,i is the number of engines of the i-th type of aircraft, S e,i is the score of the i-th type engine, N l is the number of larger quality problems, N tt is the total number of faults.

[0032] Furthermore, the working characteristic index A7 is used as a correction factor;

[0033] A7=(55-ξ) 2

[0034] Among them, ξ is the working characteristic level of the site, which is determined according to the aircraft failure rate, the difficulty of fault handling and the number of additional tools required to repair the fault. The higher the aircraft failure rate, the greater the difficulty of fault handling, the more additional tools are required to repair the fault, and the lower the working characteristic level value.

[0035] The present invention has the following beneficial effects:

[0036] 1. Quantify the capacity demand index of service stations and the support capacity index of each subcategory.

[0037] 2. This method enables the rational use of relevant data of aircraft engine service stations and provides a clear channel for data collection and application.

[0038] 3. Provides clear data guidance for aviation engine service station management and resource allocation. DETAILED DESCRIPTION

[0039] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in combination with the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments.

[0040] Therefore, the following detailed description of the embodiments of the present invention is not intended to limit the scope of the invention claimed for protection, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0041] It should be noted that, in the absence of conflict, the embodiments of the present invention and the features of the embodiments may be combined with each other.

[0042] The purpose of the present invention is to provide a method for evaluating the capacity requirements of an aircraft engine service station, so as to provide a management basis for upgrading the service station and allocating resources.

[0043] (I) Sorting out key data of service stations

[0044] 20 dimensions of data related to equipment support capability assessment:

[0045] Region, unit, location, flight test mode (local / patrolling), airport group, airport type, airport characteristics, total number of failures, number of major quality problems, engine model, number of engines, unit type, number of flight tests, number of flight test days, aviation, railway, road, transportation distance, airport characteristics, and working characteristic level.

[0046] 2. Classification of support capabilities

[0047] Based on the above data, the support capabilities are divided into seven categories: engine comprehensive index, material allocation capability, flight intensity, unit importance, regional importance, fault evaluation index, and work characteristics index.

[0048] (III) Calculation method

[0049] 1. Engine comprehensive index A1

[0050] The comprehensive evaluation of engine support is calculated based on the existing engine models and quantities at the site. The higher the value, the greater the comprehensive importance of the engine to the site support.

[0051]

[0052] Where n is the total number of engine types available at the site, N e,i is the number of engines of the i-th type of aircraft, S e,iis the score of the i-th type of engine, where each engine has a fixed score corresponding to it, and the score is determined to be 1 to 10 points. Among them, the score of a single-engine engine is greater than that of a twin-engine engine, and the score of a fourth-generation engine is greater than that of a third-generation engine, which is greater than that of a second-generation engine.

[0053] 2. Site transfer capability A2

[0054] The station's allocation capacity index is calculated based on the types of optional transportation at the station and the level of distance from the factory. The stronger the allocation capacity, the stronger its hub capacity and the higher the importance of the station.

[0055]

[0056] Among them, M pe 、M tn 、M rd ∈{0, 1}, indicating whether airplane, train, or land transportation exists, (M pe +M tn +M rd ) represents the total traffic dimension of the site, d represents the distance level between the site and the shipping unit, d∈{1, 2, 3, 4, 5}.

[0057] 3. Flight intensity A3

[0058] The flight intensity index is calculated based on the number of flight tests and flight test days of the site. The higher the flight intensity index, the more frequent the site flight is and the more important the site service is.

[0059]

[0060] Among them, N tn is the number of times the station participated in flight tests, D tn Days for flight testing.

[0061] 4. Unit Importance A4

[0062] According to the type and number of units corresponding to the service station, the unit importance of the station is comprehensively evaluated. The higher the importance index, the more guarantee conditions are needed for the units served by the station.

[0063]

[0064] Where s is the number of unit types at the site, P i is the score of the i-th unit. The corresponding unit types all have fixed scores, where the unit scores are determined to be 1 to 10 points, and the unit scores are determined according to the importance of different customers.

[0065] 5. Regional importance A5

[0066] The geographical importance of a site is comprehensively evaluated based on the area, airport group, airport type, airport characteristics, and flight test mode to which the site corresponds. The higher the importance index, the more important the geographical location served by the site is, and the more reliable resource guarantees are needed.

[0067] A5=S at ·S sn ·k

[0068] Among them, S at S is the airport score, where the airport score can be divided into Class I and Class II airports, and different characteristics are assigned to different airports according to actual needs. sn is the score of the region to which it belongs. The regional score can also be assigned to different regions according to the actual needs of the management party, for example, whether it is a developed region, whether the passenger flow is huge, and the degree of openness to the outside world. k is the flight test score, where the flight test score is assigned according to different routes and is divided into two modes: local and patrol. If a site has both local and patrol modes, it will be calculated according to the patrol flight.

[0069] 6. Fault evaluation index A6

[0070] The degree of failure at the site is comprehensively evaluated based on the total number of faults, number of major quality problems, engine model, and number of engines corresponding to the site. The higher the failure index, the more protection resources the site requires.

[0071]

[0072] Where n is the total number of engine types available at the site, N e,i is the number of engines of the i-th type of aircraft, S e,i is the score of the i-th type engine, N l is the number of larger quality problems, N tt is the total number of faults.

[0073] 7. Work Characteristics Index A7---Correction Factor

[0074] Taking into account the personalized factors of some users, future planning of sites, urban development and other factors, based on experience and comprehensive considerations, the working characteristic level of each site is summarized and the working characteristic index is calculated to correct the calculation results of the comprehensive evaluation of the site.

[0075] A7=(55-ξ) 2

[0076] Among them, ξ is the working characteristic level of the site, which is assigned according to the characteristics such as whether the aircraft is faulty, the difficulty of handling the fault, and whether additional tools are needed.

[0077] 8. Site comprehensive evaluation index A

[0078] Based on the calculation of the first seven evaluation indicators, the calculation results are normalized item by item, and the final site comprehensive evaluation index is calculated according to the weight distribution, and the site service needs are ranked according to this calculation result.

[0079] Normalization method:

[0080]

[0081] Weight distribution:

[0082] The following is further described in conjunction with specific embodiments.

[0083] Through data sorting, statistics and aggregation, 20 dimensions of data related to engine service are obtained (taking one service station as an example):

[0084] Area: M District

[0085] Unit: X units

[0086] Location: M City

[0087] Flight test mode: local

[0088] Airport Grouping: Group M1

[0089] Airport type: Category II

[0090] Engine Model Number of engines Total number of faults Large number of quality issues A 4 6 2 B 3 2 0 C 1 0 0

[0091] Unit type (quantity): A1 (2 pieces), A2 (1 piece)

[0092] Flight test times: 2 times / year

[0093] Flight test days: 160 days / year

[0094] Aviation: 0 (0 means no, 1 means yes)

[0095] Railway: 1

[0096] Highway: 1

[0097] Delivery distance: 500km

[0098] Airport characteristics: Characteristics 1 (Characteristic 1, Characteristics 2, Characteristics 3...)

[0099] Working characteristic level: 25

[0100] (II) Calculation of seven types of support capabilities

[0101] According to the above formulas, the engine comprehensive index, material allocation capability, flight intensity, unit importance, regional importance, fault evaluation index, and working characteristic index are calculated respectively. The empirical parameters are set according to the formats of Tables 1 to 7 and then substituted into the formulas to obtain values ​​A1 to A7.

[0102] 1. Engine comprehensive index A1

[0103] The comprehensive evaluation of engine support is calculated based on the existing engine models and quantities at the site. The higher the value, the greater the comprehensive importance of the engine to the site support.

[0104]

[0105] Where n is the total number of engine types available at the site, N e,i is the number of engines of the i-th type of aircraft, S e,i is the score of the i-th type engine. The corresponding scores of different models are shown in Table 1.

[0106] Table 1 Model score table

[0107] model Points A 5 B 3 C 2

[0108] 2. Site transfer capability A2

[0109] The station's allocation capacity index is calculated based on the station's optional transportation types and the distance level from the engine shipping area. The stronger the allocation capacity, the stronger its hub capacity and the higher the importance of the station.

[0110]

[0111] Among them, M pe 、M tn 、M rd ∈{0, 1}, indicating whether airplane, train, or land transportation exists, (M pe +M tn +M rd ) represents the total traffic dimension of the site, d represents the distance level between the site and the delivery area, d∈{1, 2, 3, 4, 5}.

[0112] Note: The transport distance is 500km, so in this example it is set as the 3rd distance grade.

[0113] 3. Flight intensity A3

[0114] The flight intensity index is calculated based on the number of flight tests and flight test days of the site. The higher the flight intensity index, the more frequent the site flight situation and the more important the site service.

[0115]

[0116] Among them, N tn is the number of flight tests, D tn Days for flight testing.

[0117] 4. Unit Importance A4

[0118] According to the type and number of units corresponding to the site, the importance of the service target units is comprehensively evaluated. The higher the importance index, the more guarantee conditions are needed for the units served by the site.

[0119]

[0120] Where s is the number of unit types at the site, P i is the score of the ith unit. The score table is shown in Table 2.

[0121] Table 2 Unit type score table

[0122] Unit Type Points <![CDATA[A1]]> 3 <![CDATA[A2]]> 5

[0123] 5. Regional importance A5

[0124] The geographical importance of a site is comprehensively evaluated based on the area, airport group, airport type, airport characteristics, and flight test mode to which the site corresponds. The higher the importance index, the more important the geographical location served by the site is, and the more reliable resource guarantees are needed.

[0125] A5=S at ·S sn k = 3 × 2 × 2 = 12

[0126] Among them, S at is the airport score. The scoring criteria are shown in Table 4. sn is the score of the area, and the scoring standard is shown in Table 5. k is the flight test mode score, and the scoring table is shown in Table 6.

[0127] Table 4 Airport scoring table

[0128] Airport Type\Airport Characteristics Feature 1 Feature 2 Category I 5 4 Category II 3 2

[0129] Table 5 Regional scoring table

[0130] Area Points M Zone 2

[0131] Table 6 Flight test mode scoring table

[0132] Flight test method Points local 2 tour 3

[0133] Note: If a site has both local and patrol flight modes, the patrol mode will be used for calculation.

[0134] 6. Fault evaluation index A6

[0135] The degree of failure at the site is comprehensively evaluated based on the total number of faults, number of major quality problems, engine model, and number of engines corresponding to the site. The higher the failure index, the more protection resources the site requires.

[0136]

[0137] Where n is the total number of engine types available at the site, N e,i is the number of engines of the i-th type of aircraft, S e,i is the score of the i-th type engine, N l is the number of larger quality problems, N tt is the total number of faults.

[0138] 7. Work Characteristics Index A7

[0139] Taking into account the personalized factors of some users, future planning of sites, urban development and other factors, based on experience and comprehensive considerations, the working characteristic level of each site is summarized and the working characteristic index is calculated to correct the calculation results of the comprehensive evaluation of the site.

[0140] A7=(55-ξ) 2 =(55-25) 2 =900

[0141] Among them, ξ is the working characteristic level of the site, as shown in Table 7.

[0142] Table 7 Site working characteristics, etc.

[0143]

[0144] (III) Calculation of comprehensive evaluation index of sites

[0145] A1 to A7 of all service stations are normalized according to the above normalization formula, and then the comprehensive evaluation index A of the station is obtained according to the weight distribution method. Since only one service station data is given in this example, the maximum and minimum values ​​of each index are assumed to be as shown in the following table.

[0146]

[0147]

[0148]

[0149] Finally, the capacity demand index of the aircraft engine service station was 0.339.

[0150] Although the present invention has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments, or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for assessing the capacity requirements of aircraft engine service stations. It is characterized in that Including obtaining engine comprehensive index A1, site allocation capability A2, flight intensity A3, unit importance A4, regional importance A5, fault evaluation index A6, and work characteristic index A7; The obtained values ​​are normalized to obtain According to the weight distribution, the comprehensive evaluation index A of the site is obtained; 2. The method for evaluating the capability requirements of an aircraft engine service station according to claim 1, It is characterized in that The engine comprehensive index A1 is determined according to the engine model and quantity of the service station; Where n is the total number of engine types available at the site, N e,i is the number of engines of the i-th type of aircraft, S e,i is the score of the i-th engine; The score of the engine is determined based on the number of engines installed and the level of advancement of the engine. The greater the number of engines installed on a single model, the lower the score of the engine, and the more advanced the engine, the lower the score.

3. The method for evaluating the capability requirements of an aircraft engine service station according to claim 1, It is characterized in that The site allocation capacity A2 is determined according to the type of available transportation and the distance from the factory area; Among them, M pe 、M tn 、M rd ∈{0, 1}, indicating whether airplane, train, or land transportation exists, (M pe +M tn +M rd ) represents the total traffic dimension of the site, d represents the distance level between the site and the shipping unit, d∈{1, 2, 3, 4, 5}.

4. The method for evaluating the capability requirements of an aircraft engine service station according to claim 1, It is characterized in that The flight intensity A3 is determined according to the number of flight tests at the site and the number of flight test days; Among them, N tn is the number of times the station participated in flight tests, D tn Days for flight testing.

5. The method for evaluating the capability requirements of an aircraft engine service station according to claim 1, It is characterized in that The method for evaluating the capacity requirements of an aircraft engine service station according to claim 1 is characterized in that the unit importance A4 is determined according to the type and quantity of units corresponding to the service station; Where s is the number of unit types at the site, P i is the score of the i-th unit; The score of the unit is determined according to the customer importance of the corresponding site, and the core customer score is greater than the important customer score, which is greater than the general customer score.

6. The method for evaluating the capability requirements of an aircraft engine service station according to claim 1, It is characterized in that The regional importance A5 is determined according to the region to which the site corresponds, the airport group, the airport type, the airport characteristics, and the flight test mode; A 5 =S at ·S sn ·k; Among them, S at is the airport score, S sn is the score of the region, k is the flight test score; The airport score is determined by determining the airport characteristics, which include the number of engine models involved, the number of maintenance personnel involved, and the number of large maintenance equipment. Different airport characteristics correspond to different scores. For the same airport characteristics, the score of a Class I airport is greater than that of a Class II airport. The regional score is determined by the regional passenger flow, the level of development of the city where the station is located, and the degree of openness to the outside world; The flight test score is determined by a flight test mode, and the flight test mode includes a local flight test and a roving flight test, and the score of the roving flight test is greater than the score of the local flight test.

7. The method for evaluating the capability requirements of an aircraft engine service station according to claim 2, It is characterized in that The fault evaluation index A6 is determined according to the total number of faults, the number of major quality problems, the engine model and the number of engines corresponding to the site; Where n is the total number of engine types available at the site, N e,i is the number of engines of the i-th type of aircraft, S e,i is the score of the i-th type engine, N l is the number of larger quality problems, N tt is the total number of faults.

8. The method for evaluating the capability requirements of an aircraft engine service station according to claim 1, It is characterized in that The working characteristic index A7 is used as a correction factor; A 7 =(55-ξ) 2 ; Among them, ξ is the working characteristic level of the site, which is determined according to the aircraft failure rate, the difficulty of fault handling and the number of additional tools required to repair the fault. The higher the aircraft failure rate, the greater the difficulty of fault handling, the more additional tools are required to repair the fault, and the lower the working characteristic level value.