Energy level evaluation method for equipment health management system

Abstract

The invention belongs to the technical field of equipment health management, and particularly relates to an equipment health management system energy level evaluation method, which comprises the steps of S1, constructing a health management system energy level evaluation index system; s2, establishing a third-level capability index quantitative standard; s3, assigning three levels of capability indexes; step S4, distributing third-level capability index weights; step S5, calculating a secondary capability index score; step S6, distributing a second-level capability index weight; step S7, calculating a first-level capability index score; step S8, distributing a first-level capability index weight; and S9, calculating an energy level evaluation score of the health management system. According to the evaluation method, core function requirements of the equipment health management system are analyzed, an equipment health management system energy level evaluation system and a score calculation method are established, the technical problem of energy level comprehensive evaluation of the equipment health management system is successfully solved, and the method can be applied to any equipment with a health management system and has a wide application prospect. And objective evaluation of the health management system is realized.

Description

Technical Field

[0001] This invention belongs to the field of equipment health management technology, specifically to a method for evaluating the performance level of an equipment health management system. By analyzing the core functional requirements of an equipment health management system, an equipment health management system performance evaluation system and a scoring calculation method are established to achieve a comprehensive performance evaluation of the equipment health management system. This invention can be applied to any equipment with a health management system, such as vehicles, engines, and transmission systems. Background Art

[0002] With the continuous advancement of information technology and intelligent equipment, health management systems have become a new type of productivity that maximizes equipment performance and an essential core functional system. They are responsible for controlling equipment operating status through data management, status monitoring, fault prediction, and other aspects, providing support for condition-based maintenance. Currently, countries around the world are competing to develop equipment health management technologies. Evaluating the performance level of equipment health management systems and guiding their optimization hold high research value. Focusing on the application of health management technologies, there is an urgent need to establish an effective assessment method for evaluating the performance level of equipment health management systems. Summary of the Invention

[0003] (1) Technical issues to be resolved

[0004] The technical problem to be solved by the present invention is: how to provide an equipment health management system energy level evaluation method that can be applied to any equipment with a health management system, realize the energy level evaluation of the health management system, provide support for the optimization of the health management system, and improve the development efficiency of the health management system.

[0005] (2) Technical solution

[0006] To solve the above technical problems, the present invention provides an equipment health management system energy level evaluation method, which includes the following steps:

[0007] Step S1: Constructing a health management system energy level evaluation index system;

[0008] Step S2: Establishing the quantitative standards for the three-level capability indicators;

[0009] Step S3, assigning three-level capability indicators;

[0010] Step S4: assigning weights of the three-level capability indicators;

[0011] Step S5: Calculate the secondary capability index score;

[0012] Step S6: Allocate secondary capability index weights;

[0013] Step S7, calculating the first-level capability index score;

[0014] Step S8: assigning first-level capability index weights;

[0015] Step S9: Calculate the health management system energy level evaluation score.

[0016] Wherein, in said step S1, a health management system energy level evaluation index system is constructed;

[0017] Based on the principle of constructing a hierarchical indicator system and according to the core functions of the equipment, an equipment health management system energy level evaluation indicator system is constructed, including:

[0018] Three first-level capability indicators: information processing capability, health diagnosis capability, and information interaction capability;

[0019] Seven secondary capability indicators: data management capability, data communication capability, fault management capability, status assessment capability, performance prediction capability, maintenance decision-making capability, and human-computer interaction capability;

[0020] There are also fifteen third-level capability indicators including data coverage, data validity, data storage rate, data download rate, fault coverage, fault detection rate, fault isolation rate, comprehensiveness of condition assessment, accuracy of condition assessment, comprehensiveness of performance prediction, accuracy of performance prediction, accuracy of fault repair plan, coverage of maintenance plan, comprehensiveness of information display, and convenience of human-computer interaction.

[0021] Wherein, in said step S2, a three-level capability indicator quantitative standard is established;

[0022] Quantify the fifteen third-level capability indicators in the equipment health management system capability evaluation index system;

[0023] 1) Data coverage D1: refers to the coverage of the core system controller signal of the equipment by the collected data. The quantitative calculation formula is as follows:

[0024]

[0025] Where, Q is the number of core system controllers of the equipment, Q test is the number of controllers that can perform data measurement;

[0026] 2) Data coverage D2 refers to the authenticity and validity of the bus data obtained by the health management system. The quantitative calculation formula is as follows:

[0027]

[0028] Where F1 is the data frame loss rate, F low is the upper limit of data frame loss rate, F high The lower limit of the data frame loss rate;

[0029] 3) Data storage rate D3: refers to the rate at which collected data is written to the data storage device. The quantitative calculation formula is as follows:

[0030]

[0031] Where RS1 is the data storage rate, RS low is the lower limit of data storage rate, RS high The upper limit of data storage rate;

[0032] 4) Data download rate D4: refers to the rate at which the health management system downloads data from the data acquisition device. The quantitative calculation formula is as follows:

[0033]

[0034] Where RD1 is the data download rate, RD low is the lower limit of data download rate, RD high The upper limit of data download rate;

[0035] 5) Fault coverage D5: This refers to the ability of the health management system to correctly detect fault modes. The quantitative calculation formula is as follows:

[0036]

[0037] Where N FMD is the number of correctly detected fault modes, N FM is the total number of failure modes;

[0038] 6) Fault detection rate D6: This refers to the ability of the health management system to correctly detect faults. The quantitative calculation formula is as follows:

[0039]

[0040] Where N D is the number of correctly detected faults, N T is the total number of failures;

[0041] 7) Fault isolation rate D7: This refers to the ability of the health management system to isolate equipment failures to replaceable units. The quantitative calculation formula is as follows:

[0042]

[0043] Where N D is the number of correctly detected faults, N L The number of faults that are correctly isolated to the replaceable unit;

[0044] 8) Comprehensiveness of condition assessment D8: This refers to the coverage of the health management system in the core performance assessment of the equipment. The quantitative calculation formula is as follows:

[0045]

[0046] Where, CA D To correctly evaluate the number of core performance of equipment, CA T The number of core performances of equipment that need to be properly evaluated;

[0047] 9) Condition Assessment Accuracy D9: This refers to the accuracy of the health management system's assessment of the core performance of the equipment. The quantitative calculation formula is as follows:

[0048]

[0049] Where CA1 is the state assessment accuracy, CA low is the lower limit of state assessment accuracy, CA high The upper limit of the accuracy of the state assessment;

[0050] 10) Comprehensiveness of performance prediction D 10 ; refers to the coverage of the health management system for the prediction of the core performance degradation trend of the equipment. The quantitative calculation formula is as follows:

[0051]

[0052] Where, P D is the number of predictable equipment core performance, P T The number of equipment core performance that needs to be predicted;

[0053] 11) Performance prediction accuracy D 11 ; Refers to the accuracy of the health management system's prediction of the equipment's core performance degradation trend. The quantitative calculation formula is as follows:

[0054]

[0055] Where P1 is the performance prediction accuracy, P low is the lower limit of performance prediction accuracy, P high is the upper limit of performance prediction accuracy;

[0056] 12) Accuracy of fault repair plan D 12 ; refers to the accuracy of the health management system in generating maintenance plans when equipment fails. The quantitative calculation formula is as follows:

[0057] D 12 =S×T

[0058]

[0059] Where S is the accuracy of the maintenance steps, T is the accuracy of the maintenance tool selection; S1 is the accuracy score of the maintenance steps determined based on the maintenance guide in the equipment user manual, and P islow is the lower limit of the accuracy score of the maintenance step, P high is the upper limit of the accuracy score of the maintenance steps; T1 is the accuracy score of the maintenance tool selection determined by the maintenance guide in the equipment user manual as the standard, T low Select a lower accuracy score for the repair tool, T high Select an upper accuracy score limit for the repair tool;

[0060] 13) Maintenance plan coverage D 13 ; refers to the accuracy of the health management system in generating maintenance plans when equipment fails. The quantitative calculation formula is as follows:

[0061]

[0062] 14) Comprehensiveness of information display D 14 ; Refers to the coverage percentage of the health management system for equipment failure information, status information, maintenance information and other information required for equipment operation and maintenance, with the value range being [0, 1];

[0063] 15) Convenience of human-computer interaction D 15 ; Refers to the convenience of entering maintenance information and querying equipment usage information during equipment use, with a percentage value range of [0, 1].

[0064] Wherein, in said step S3, three-level capability indicators are assigned;

[0065] Based on the quantitative standard of the three-level capability indicators, the fifteen three-level capability indicators are assigned values, and the three-level capability indicator scores are D1, D2, D3, D4, D5, D6, D7, D8, D9, D10, D11, D12, D13, D14, D15, D16, D17, D18, D19, D20, D21 10 、D 11 、D 12 、D 13 、D 14 、D 15 .

[0066] Wherein, in said step S4, the weights of the three-level capability indicators are allocated;

[0067] The weights of the fifteen third-level capability indicators are allocated, and the weights of the third-level capability indicators are w D1 、w D2 、w D3 、w D4 、w D5 、w D6 、w D7 、w D8 、w D9 、w D10 、w D11 、w D12 、wD13 、w D14 、w D15 .

[0068] Wherein, in said step S5, the secondary capability index score is calculated;

[0069] Calculate the scores of the seven second-level capability indicators based on the third-level capability indicator scores and the third-level capability indicator weights;

[0070] 1) Data management capability C1: refers to the ability of the health management system to manage equipment test information. The calculation formula is as follows:

[0071]

[0072] 2) Data communication capability C2: refers to the ability of the health management system to transmit equipment test information. The calculation formula is as follows:

[0073]

[0074] 3) Fault management capability C3: This refers to the fault management capability of the health management system, such as fault diagnosis and fault isolation, when equipment fails. The calculation formula is as follows:

[0075]

[0076] 4) Condition assessment capability C4: refers to the ability of the health management system to monitor the operating status of the equipment. The calculation formula is as follows:

[0077]

[0078] 5) Performance prediction capability C5: This refers to the ability of the health management system to evaluate the core performance degradation characteristics of the equipment. The calculation formula is as follows:

[0079]

[0080] 6) Intelligent decision-making capability C6: refers to the health management system's ability to support equipment failure repair, maintenance, and other tasks. The calculation formula is as follows:

[0081]

[0082] 7) Human-computer interaction capability C7: refers to the visualization and information interaction capabilities of the health management system. The calculation formula is as follows:

[0083]

[0084] Wherein, in said step S6, the secondary capability index weights are allocated;

[0085] The weights of the seven secondary capability indicators are assigned, and the weights of the secondary capability indicators are w C1 、w C2 、w C3 、w C4 、w C5 、w C6 、w C7 .

[0086] Wherein, in said step S7, the first-level capability index score is calculated;

[0087] Calculate the scores of the three first-level capability indicators based on the second-level capability indicator scores and the second-level capability indicator weights;

[0088] 1) Information processing capability B1: refers to the ability of the health management system to manage and transmit equipment test information. The calculation formula is as follows:

[0089]

[0090] 2) Health diagnostic capability B2: This refers to the health management system's ability to diagnose equipment faults, status, and performance, as well as its ability to assist in maintenance. The calculation formula is as follows:

[0091]

[0092] 3) Information interaction capability B3: refers to the information display and information interaction capability of the health management system. The calculation formula is as follows:

[0093]

[0094] Wherein, in said step S8, the weight of the first-level capability index is allocated;

[0095] The weights of the three first-level capability indicators are allocated, and the weights of the first-level capability indicators are w B1 、w B2 、w B3 .

[0096] Wherein, in said step S9, the energy level evaluation score of the health management system is calculated;

[0097] The health management system capability level evaluation score is calculated based on the first-level capability indicator score and the first-level capability indicator weight. The calculation formula is as follows:

[0098]

[0099] (3) Beneficial effects

[0100] Compared with the prior art, the present invention has the following effects:

[0101] This health management system energy level evaluation method successfully solves the technical problem of comprehensive energy level evaluation of equipment health management systems by analyzing the core functional requirements of the equipment health management system, establishing an equipment health management system energy level evaluation system and a scoring calculation method. This method can be applied to any equipment with a health management system to achieve objective evaluation of the health management system. BRIEF DESCRIPTION OF THE DRAWINGS

[0102] Figure 1 The energy level evaluation system of the health management system of the present invention;

[0103] Figure 2 This is the energy level evaluation process of the health management system of the present invention. DETAILED DESCRIPTION

[0104] In order to make the purpose, content, and advantages of the present invention more clear, the specific implementation methods of the present invention are further described in detail below with reference to the accompanying drawings and examples.

[0105] To solve the above technical problems, the present invention provides an equipment health management system energy level evaluation method, which includes the following steps:

[0106] Step S1: Constructing a health management system energy level evaluation index system;

[0107] Step S2: Establishing the quantitative standards for the three-level capability indicators;

[0108] Step S3, assigning three-level capability indicators;

[0109] Step S4: assigning weights of the three-level capability indicators;

[0110] Step S5: Calculate the secondary capability index score;

[0111] Step S6: Allocate secondary capability index weights;

[0112] Step S7, calculating the first-level capability index score;

[0113] Step S8: assigning first-level capability index weights;

[0114] Step S9: Calculate the health management system energy level evaluation score.

[0115] Wherein, in said step S1, a health management system energy level evaluation index system is constructed;

[0116] Based on the principle of constructing a hierarchical indicator system and according to the core functions of the equipment, an equipment health management system energy level evaluation indicator system is constructed, including:

[0117] Three first-level capability indicators: information processing capability, health diagnosis capability, and information interaction capability;

[0118] Seven secondary capability indicators: data management capability, data communication capability, fault management capability, status assessment capability, performance prediction capability, maintenance decision-making capability, and human-computer interaction capability;

[0119] There are also fifteen third-level capability indicators including data coverage, data validity, data storage rate, data download rate, fault coverage, fault detection rate, fault isolation rate, comprehensiveness of condition assessment, accuracy of condition assessment, comprehensiveness of performance prediction, accuracy of performance prediction, accuracy of fault repair plan, coverage of maintenance plan, comprehensiveness of information display, and convenience of human-computer interaction.

[0120] Wherein, in said step S2, a three-level capability indicator quantitative standard is established;

[0121] Quantify the fifteen third-level capability indicators in the equipment health management system capability evaluation index system;

[0122] 1) Data coverage D1: refers to the coverage of the core system controller signal of the equipment by the collected data. The quantitative calculation formula is as follows:

[0123]

[0124] Where, Q is the number of core system controllers of the equipment, Q test is the number of controllers that can perform data measurement;

[0125] 2) Data coverage D2 refers to the authenticity and validity of the bus data obtained by the health management system. The quantitative calculation formula is as follows:

[0126]

[0127] Where F1 is the data frame loss rate, F low is the upper limit of data frame loss rate, F high The lower limit of the data frame loss rate;

[0128] 3) Data storage rate D3: refers to the rate at which collected data is written to the data storage device. The quantitative calculation formula is as follows:

[0129]

[0130] Where RS1 is the data storage rate, RS low is the lower limit of data storage rate, RS high The upper limit of data storage rate;

[0131] 4) Data download rate D4: refers to the rate at which the health management system downloads data from the data acquisition device. The quantitative calculation formula is as follows:

[0132]

[0133] Where RD1 is the data download rate, RD low is the lower limit of data download rate, RD high The upper limit of data download rate;

[0134] 5) Fault coverage D5: This refers to the ability of the health management system to correctly detect fault modes. The quantitative calculation formula is as follows:

[0135]

[0136] Where N FMD is the number of correctly detected fault modes, N FM is the total number of failure modes;

[0137] 6) Fault detection rate D6: This refers to the ability of the health management system to correctly detect faults. The quantitative calculation formula is as follows:

[0138]

[0139] Where N D is the number of correctly detected faults, N T is the total number of failures;

[0140] 7) Fault isolation rate D7: This refers to the ability of the health management system to isolate equipment failures to replaceable units. The quantitative calculation formula is as follows:

[0141]

[0142] Where N D is the number of correctly detected faults, N L The number of faults that are correctly isolated to the replaceable unit;

[0143] 8) Comprehensiveness of condition assessment D8: This refers to the coverage of the health management system in the core performance assessment of the equipment. The quantitative calculation formula is as follows:

[0144]

[0145] Where, CA D To correctly evaluate the number of core performance of equipment, CA T The number of core performances of equipment that need to be properly evaluated;

[0146] 9) Condition Assessment Accuracy D9: This refers to the accuracy of the health management system's assessment of the core performance of the equipment. The quantitative calculation formula is as follows:

[0147]

[0148] Where CA1 is the state assessment accuracy, CA lowis the lower limit of state assessment accuracy, CA high The upper limit of the accuracy of the state assessment;

[0149] 10) Comprehensiveness of performance prediction D 10 ; refers to the coverage of the health management system for the prediction of the core performance degradation trend of the equipment. The quantitative calculation formula is as follows:

[0150]

[0151] Where, P D is the number of predictable equipment core performance, P T The number of equipment core performance that needs to be predicted;

[0152] 11) Performance prediction accuracy D 11 ; Refers to the accuracy of the health management system's prediction of the equipment's core performance degradation trend. The quantitative calculation formula is as follows:

[0153]

[0154] Where P1 is the performance prediction accuracy, P low is the lower limit of performance prediction accuracy, P high is the upper limit of performance prediction accuracy;

[0155] 12) Accuracy of fault repair plan D 12 ; refers to the accuracy of the health management system in generating maintenance plans when equipment fails. The quantitative calculation formula is as follows:

[0156] D 12 =S×T

[0157]

[0158] Where S is the accuracy of the maintenance steps, T is the accuracy of the maintenance tool selection; S1 is the accuracy score of the maintenance steps determined based on the maintenance guide in the equipment user manual, and P is low is the lower limit of the accuracy score of the maintenance step, P high is the upper limit of the accuracy score of the maintenance steps; T1 is the accuracy score of the maintenance tool selection determined by the maintenance guide in the equipment user manual as the standard, T low Select a lower accuracy score for the repair tool, T high Select an upper accuracy score limit for the repair tool;

[0159] 13) Maintenance plan coverage D 13 ; refers to the accuracy of the health management system in generating maintenance plans when equipment fails. The quantitative calculation formula is as follows:

[0160]

[0161] 14) Comprehensiveness of information display D 14 ; Refers to the coverage percentage of the health management system for equipment failure information, status information, maintenance information and other information required for equipment operation and maintenance, with the value range being [0, 1];

[0162] 15) Convenience of human-computer interaction D 15 ; Refers to the convenience of entering maintenance information and querying equipment usage information during equipment use, with a percentage value range of [0, 1].

[0163] Wherein, in said step S3, three-level capability indicators are assigned;

[0164] Based on the quantitative standard of the three-level capability indicators, the fifteen three-level capability indicators are assigned values, and the three-level capability indicator scores are D1, D2, D3, D4, D5, D6, D7, D8, D9, D10, D11, D12, D13, D14, D15, D16, D17, D18, D19, D20, D21 10 、D 11 、D 12 、D 13 、D 14 、D 15 .

[0165] Wherein, in said step S4, the weights of the three-level capability indicators are allocated;

[0166] The weights of the fifteen third-level capability indicators are allocated, and the weights of the third-level capability indicators are w D1 、w D2 、w D3 、w D4 、w D5 、w D6 、w D7 、w D8 、w D9 、w D10 、w D11 、w D12 、w D13 、w D14 、w D15 .

[0167] Wherein, in said step S5, the secondary capability index score is calculated;

[0168] Calculate the scores of the seven second-level capability indicators based on the third-level capability indicator scores and the third-level capability indicator weights;

[0169] 1) Data management capability C1: refers to the ability of the health management system to manage equipment test information. The calculation formula is as follows:

[0170]

[0171] 2) Data communication capability C2: refers to the ability of the health management system to transmit equipment test information. The calculation formula is as follows:

[0172]

[0173] 3) Fault management capability C3: This refers to the fault management capability of the health management system, such as fault diagnosis and fault isolation, when equipment fails. The calculation formula is as follows:

[0174]

[0175] 4) Condition assessment capability C4: refers to the ability of the health management system to monitor the operating status of the equipment. The calculation formula is as follows:

[0176]

[0177] 5) Performance prediction capability C5: This refers to the ability of the health management system to evaluate the core performance degradation characteristics of the equipment. The calculation formula is as follows:

[0178]

[0179] 6) Intelligent decision-making capability C6: refers to the health management system's ability to support equipment failure repair, maintenance, and other tasks. The calculation formula is as follows:

[0180]

[0181] 7) Human-computer interaction capability C7: refers to the visualization and information interaction capabilities of the health management system. The calculation formula is as follows:

[0182]

[0183] Wherein, in said step S6, the secondary capability index weights are allocated;

[0184] The weights of the seven secondary capability indicators are assigned, and the weights of the secondary capability indicators are w C1 、w C2 、w C3 、w C4 、w C5 、w C6 、w C7 .

[0185] Wherein, in said step S7, the first-level capability index score is calculated;

[0186] Calculate the scores of the three first-level capability indicators based on the second-level capability indicator scores and the second-level capability indicator weights;

[0187] 1) Information processing capability B1: refers to the ability of the health management system to manage and transmit equipment test information. The calculation formula is as follows:

[0188]

[0189] 2) Health diagnostic capability B2: This refers to the health management system's ability to diagnose equipment faults, status, and performance, as well as its ability to assist in maintenance. The calculation formula is as follows:

[0190]

[0191] 3) Information interaction capability B3: refers to the information display and information interaction capability of the health management system. The calculation formula is as follows:

[0192]

[0193] Wherein, in said step S8, the weight of the first-level capability index is allocated;

[0194] The weights of the three first-level capability indicators are allocated, and the weights of the first-level capability indicators are w B1 、w B2 、w B3 .

[0195] Wherein, in said step S9, the energy level evaluation score of the health management system is calculated;

[0196] The health management system capability level evaluation score is calculated based on the first-level capability indicator score and the first-level capability indicator weight. The calculation formula is as follows:

[0197]

[0198] Example 1

[0199] In order to better understand the present invention, the following is a detailed description of the present invention. Figure 1 Health management system level evaluation system, Figure 2 The energy level evaluation process of the health management system is described in detail.

[0200] (101) Construction of the energy level evaluation index system of the health management system; Based on the principle of hierarchical index system construction and according to the core functions of the equipment, the energy level evaluation index system of the equipment health management system is constructed, including three first-level capability indicators: information processing capability, health diagnosis capability, and information interaction capability; seven second-level capability indicators: data management capability, data communication capability, fault management capability, status assessment capability, performance prediction capability, maintenance decision-making capability, and human-computer interaction capability; and fifteen third-level capability indicators: data coverage, data validity, data storage rate, data download rate, fault coverage rate, fault detection rate, fault isolation rate, comprehensiveness of status assessment, accuracy of status assessment, comprehensiveness of performance prediction, accuracy of performance prediction, accuracy of fault repair plan, coverage of maintenance plan, comprehensiveness of information display, and convenience of human-computer interaction.

[0201] (102) Scoring of three-level capability indicators: Based on the quantitative standards of three-level capability indicators and combined with the indicator algorithm, fifteen three-level capability indicators are assigned scores, and the scores of the three-level capability indicators are D1, D2, D3, D4, D5, D6, D7, D8, D9, D10, D11, D1 ... 10 、D 11 、D 12 、D 13 、D 14 、D 15 ;

[0202] (103) Weight allocation of three-level capability indicators; weight allocation is performed on the fifteen three-level capability indicators, and the weights of the three-level capability indicators are w D1 、w D2 、w D3 、w D4 、w D5 、w D6 、w D7 、w D8 、w D9 、w D10 、w D11 、w D12 、w D13 、w D14 、w D15 ;

[0203] (104) Calculation of the secondary capability index scores: Based on the third-level capability index scores and third-level capability index weights, combined with the second-level capability index score calculation algorithm, calculate the scores of the seven second-level capability indicators respectively;

[0204] (1041) Data management capability refers to the ability of the health management system to manage equipment test information. The calculation formula is as follows:

[0205]

[0206] (1042) Data communication capability refers to the ability of the health management system to transmit equipment test information. The calculation formula is as follows:

[0207]

[0208] (1043) Fault management capability refers to the fault management capability of the health management system, such as fault diagnosis and fault isolation, when equipment fails. The calculation formula is as follows:

[0209]

[0210] (1044) Status assessment capability refers to the ability of the health management system to monitor the operating status of equipment. The calculation formula is as follows:

[0211]

[0212] (1045) Performance prediction capability refers to the ability of the health management system to evaluate the core performance degradation characteristics of the equipment. The calculation formula is as follows:

[0213]

[0214] (1046) Intelligent decision-making capability refers to the ability of the health management system to support equipment failure repair, maintenance, and other tasks. The calculation formula is as follows:

[0215]

[0216] (1047) Human-computer interaction capability refers to the visualization and information interaction capability of the health management system. The calculation formula is as follows:

[0217]

[0218] (105) Secondary capability index weight allocation: The weights of the seven secondary capability indicators are allocated, and the secondary capability index weights are w C1 、w C2 、w C3 、w C4 、w C5 、w C6 、w C7 ;

[0219] (106) Calculation of first-level capability indicator scores (S7); Calculation of the three first-level capability indicator scores based on the second-level capability indicator scores and second-level capability indicator weights, combined with the first-level capability indicator score calculation algorithm;

[0220] (1061) Information processing capability refers to the ability of the health management system to manage and transmit equipment test information. The calculation formula is as follows:

[0221]

[0222] (1062) Health diagnostic capability refers to the health management system's ability to diagnose equipment failures, status, and performance, as well as its ability to assist in maintenance. The calculation formula is as follows:

[0223]

[0224] (1063) Information interaction capability refers to the information display and information interaction capability of the health management system. The calculation formula is as follows:

[0225]

[0226] (107) Weight allocation of first-level capability indicators; weight allocation is performed on the three first-level capability indicators, and the weights of the first-level capability indicators are w B1 、w B2 、w B3 ;

[0227] (108) Calculation of the health management system capability level evaluation score: The health management system capability level evaluation score is calculated based on the first-level capability indicator score and the first-level capability indicator weight. The calculation formula is as follows:

[0228]

[0229] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for evaluating the performance level of an equipment health management system, characterized in that: The method comprises the following steps: Step S1: Constructing a health management system energy level evaluation index system; Step S2: Establishing the quantitative standards for the three-level capability indicators; Step S3, assigning three-level capability indicators; Step S4: assigning weights of the three-level capability indicators; Step S5: Calculate the secondary capability index score; Step S6: Allocate secondary capability index weights; Step S7, calculating the first-level capability index score; Step S8: assigning first-level capability index weights; Step S9: Calculate the health management system energy level evaluation score.

2. The equipment health management system performance evaluation method according to claim 1, characterized in that: In the step S1, a health management system energy level evaluation index system is constructed; Based on the principle of constructing a hierarchical indicator system and according to the core functions of the equipment, an equipment health management system energy level evaluation indicator system is constructed, including: Three first-level capability indicators: information processing capability, health diagnosis capability, and information interaction capability; Seven secondary capability indicators: data management capability, data communication capability, fault management capability, status assessment capability, performance prediction capability, maintenance decision-making capability, and human-computer interaction capability; There are also fifteen third-level capability indicators including data coverage, data validity, data storage rate, data download rate, fault coverage, fault detection rate, fault isolation rate, comprehensiveness of condition assessment, accuracy of condition assessment, comprehensiveness of performance prediction, accuracy of performance prediction, accuracy of fault repair plan, coverage of maintenance plan, comprehensiveness of information display, and convenience of human-computer interaction.

3. The equipment health management system performance evaluation method according to claim 2, characterized in that: In step S2, a three-level capability indicator quantitative standard is established; Quantify the fifteen third-level capability indicators in the equipment health management system capability evaluation index system; 1) Data coverage D1: refers to the coverage of the core system controller signal of the equipment by the collected data. The quantitative calculation formula is as follows: Where, Q is the number of core system controllers of the equipment, Q test is the number of controllers that can perform data measurement; 2) Data coverage D2 refers to the authenticity and validity of the bus data obtained by the health management system. The quantitative calculation formula is as follows: Where F1 is the data frame loss rate, F low is the upper limit of data frame loss rate, F high The lower limit of the data frame loss rate; 3) Data storage rate D3: refers to the rate at which collected data is written to the data storage device. The quantitative calculation formula is as follows: Where RS1 is the data storage rate, RS low is the lower limit of data storage rate, RS high The upper limit of data storage rate; 4) Data download rate D4: refers to the rate at which the health management system downloads data from the data acquisition device. The quantitative calculation formula is as follows: Where RD1 is the data download rate, RD low is the lower limit of data download rate, RD high The upper limit of data download rate; 5) Fault coverage D5: This refers to the ability of the health management system to correctly detect fault modes. The quantitative calculation formula is as follows: Where N FMD is the number of correctly detected fault modes, N FM is the total number of failure modes; 6) Fault detection rate D6: This refers to the ability of the health management system to correctly detect faults. The quantitative calculation formula is as follows: Where N D is the number of correctly detected faults, N T is the total number of failures; 7) Fault isolation rate D7: This refers to the ability of the health management system to isolate equipment failures to replaceable units. The quantitative calculation formula is as follows: Where N D is the number of correctly detected faults, N L The number of faults that are correctly isolated to the replaceable unit; 8) Comprehensiveness of condition assessment D8: This refers to the coverage of the health management system in the core performance assessment of the equipment. The quantitative calculation formula is as follows: Where, CA D To correctly evaluate the number of core performance of equipment, CA T The number of core performances of equipment that need to be properly evaluated; 9) Condition Assessment Accuracy D9: This refers to the accuracy of the health management system's assessment of the core performance of the equipment. The quantitative calculation formula is as follows: Where CA1 is the state assessment accuracy, CA low is the lower limit of state assessment accuracy, CA high The upper limit of the accuracy of the state assessment; 10) Comprehensiveness of performance prediction D 10 ; refers to the coverage of the health management system for the prediction of the core performance degradation trend of the equipment. The quantitative calculation formula is as follows: Where, P D is the number of predictable equipment core performance, P T The number of equipment core performance that needs to be predicted; 11) Performance prediction accuracy D 11 ; Refers to the accuracy of the health management system's prediction of the equipment's core performance degradation trend. The quantitative calculation formula is as follows: Where P1 is the performance prediction accuracy, P low is the lower limit of performance prediction accuracy, P high is the upper limit of performance prediction accuracy; 12) Accuracy of fault repair plan D 12 ; refers to the accuracy of the health management system in generating maintenance plans when equipment fails. The quantitative calculation formula is as follows: D 12 =S×T Where S is the accuracy of the maintenance steps, T is the accuracy of the maintenance tool selection; S1 is the accuracy score of the maintenance steps determined based on the maintenance guide in the equipment user manual, and P is low is the lower limit of the accuracy score of the maintenance step, P high The upper limit of the score for the accuracy of the maintenance steps; T1 is the accuracy score of the maintenance tool selection determined by the maintenance guide in the equipment user manual as the standard, T low Select a lower accuracy score for the repair tool, T high Select an upper accuracy score limit for the repair tool; 13) Maintenance plan coverage D 13 ; refers to the accuracy of the health management system in generating maintenance plans when equipment fails. The quantitative calculation formula is as follows: 14) Comprehensiveness of information display D 14 ; Refers to the coverage percentage of the health management system for equipment failure information, status information, maintenance information and other information required for equipment operation and maintenance, with the value range being [0, 1]; 15) Convenience of human-computer interaction D 15 ; Refers to the convenience of entering maintenance information and querying equipment usage information during equipment use, with a percentage value range of [0, 1].

4. The equipment health management system performance evaluation method according to claim 3, characterized in that: In step S3, three-level capability indicators are assigned; Based on the quantitative standard of the three-level capability indicators, the fifteen three-level capability indicators are assigned values, and the three-level capability indicator scores are D1, D2, D3, D4, D5, D6, D7, D8, D9, D10, D11, D12, D13, D14, D15, D16, D17, D18, D19, D20, D21 10 、D 11 、D 12 、D 13 、D 14 、D 15 .

5. The equipment health management system performance evaluation method according to claim 4, characterized in that: In the step S4, the weights of the three-level capability indicators are allocated; The weights of the fifteen third-level capability indicators are allocated, and the weights of the third-level capability indicators are w D1 、w D2 、w D3 、w D4 、w D5 、w D6 、w D7 、w D8 、w D9 、w D10 、w D11 、w D12 、w D13 、w D14 、w D15 .

6. The equipment health management system performance evaluation method according to claim 5, characterized in that: In step S5, the secondary capability index score is calculated; Calculate the scores of the seven second-level capability indicators based on the third-level capability indicator scores and the third-level capability indicator weights; 1) Data management capability C1: refers to the ability of the health management system to manage equipment test information. The calculation formula is as follows: 2) Data communication capability C2: refers to the ability of the health management system to transmit equipment test information. The calculation formula is as follows: 3) Fault management capability C3: This refers to the fault management capability of the health management system, such as fault diagnosis and fault isolation, when equipment fails. The calculation formula is as follows: 4) Condition assessment capability C4: refers to the ability of the health management system to monitor the operating status of the equipment. The calculation formula is as follows: 5) Performance prediction capability C5: This refers to the ability of the health management system to evaluate the core performance degradation characteristics of the equipment. The calculation formula is as follows: 6) Intelligent decision-making capability C6: refers to the health management system's ability to support equipment failure repair, maintenance, and other tasks. The calculation formula is as follows: 7) Human-computer interaction capability C7: refers to the visualization and information interaction capabilities of the health management system. The calculation formula is as follows:

7. The equipment health management system performance evaluation method according to claim 6, characterized in that: In the step S6, the secondary capability index weights are allocated; The weights of the seven secondary capability indicators are assigned, and the weights of the secondary capability indicators are w C1 、w C2 、w C3 、w C4 、w C5 、w C6 、w C7 .

8. The equipment health management system performance evaluation method according to claim 7, characterized in that: In step S7, the first-level capability index score is calculated; Calculate the scores of the three first-level capability indicators based on the second-level capability indicator scores and the second-level capability indicator weights; 1) Information processing capability B1: refers to the ability of the health management system to manage and transmit equipment test information. The calculation formula is as follows: 2) Health diagnostic capability B2: This refers to the health management system's ability to diagnose equipment faults, status, and performance, as well as its ability to assist in maintenance. The calculation formula is as follows: 3) Information interaction capability B3: refers to the information display and information interaction capability of the health management system. The calculation formula is as follows:

9. The equipment health management system performance evaluation method according to claim 8, characterized in that: In the step S8, the first-level capability index weight is allocated; The weights of the three first-level capability indicators are allocated, and the weights of the first-level capability indicators are w B1 、w B2 、w B3 .

10. The equipment health management system performance evaluation method according to claim 9, characterized in that: In step S9, the health management system energy level evaluation score is calculated; The health management system capability level evaluation score is calculated based on the first-level capability indicator score and the first-level capability indicator weight. The calculation formula is as follows:

Images