MTBF accelerated identification test method suitable for smart stadium server

Abstract

The invention discloses an MTBF accelerated identification test method suitable for a smart stadium machine room server, and the method comprises the steps: giving a qualitative conclusion for a plurality of key comparison factors of a new server and an existing server through similarity analysis, and carrying out the recognition of the new server according to the scoring result of an industry expert and the historical use time of the existing server; and obtaining the equivalent reliability test time of the server. Through an acceleration test method, after key environmental factors of the server are identified, conventional temperature cycle, vibration and temperature stress are converted into an equivalent acceleration stress profile based on an inverse power law, Arrhenius and a Cofen-Mansen model acceleration model, a reliability acceleration test is completed, and the equivalent reliability test time of the server is obtained. And completing MTBF lower confidence limit evaluation according to the equivalent reliability test time based on the similar product method and the equivalent reliability test time based on the accelerated test method, and judging whether the server passes a reliability identification test or not.

Description

Technical Field

[0001] The present invention relates to the field of computer technology, and in particular to an MTBF (Mean Time Between Failure) accelerated identification test method suitable for a smart sports stadium server. Background Art

[0002] Chinese invention patent application CN117929869A discloses a reliability accelerated test method, system and medium for shipborne electronic equipment. The method includes the following steps: adjusting the test stress conditions in a thermal cycle test section, accelerating the shortening of the thermal test time in the thermal cycle test section based on a time-varying Peck model, and constructing a target number of temperature cycle test sections by combining a preset number of cold cycle test sections and a preset number of thermal cycle test sections after time shortening; adjusting the test stress conditions in the temperature cycle test section, accelerating the reduction of the target number of temperature cycle test sections based on a Coffin-Masson model; obtaining the initial vibration stress spectrum of the shipborne electronic equipment, accelerating the initial vibration stress spectrum based on a cumulative damage fatigue model, and obtaining the accelerated target vibration stress spectrum; and finally performing a reliability accelerated test on the shipborne electronic equipment.

[0003] This method only accelerates the environmental test profile of electronic equipment, but does not use the service life of existing equipment. The existing resource utilization rate is low, and the test profile is derived from GJB 899A, which is not suitable for smart stadium servers. This method characterizes the similarity between similar products and new products by defining similar factors, combines similar life models and similar product data to evaluate the life of new products, and applies it to a certain satellite product. However, this method only uses information related to existing products, and does not design an actual reliability test plan. There is a lack of actual reliability test data, and the credibility of the MTBF evaluation results is low.

[0004] Therefore, it is necessary to provide an MTBF accelerated identification test method suitable for smart sports stadium servers that can solve the above-mentioned technical problems. Summary of the invention

[0005] The purpose of the present invention is to provide an MTBF accelerated identification test method suitable for a smart sports stadium server, which can solve the above-mentioned technical problems.

[0006] The present invention is achieved in that:

[0007] An MTBF accelerated identification test method applicable to a server in a computer room of a smart sports stadium comprises the following steps:

[0008] Step 1: Determine the statistical plan for the reliability test of the server in the computer room of the smart sports stadium according to the standard GJB 899A-2009, and obtain the total reliability test time;

[0009] Step 2: Compare the similarity between the new server in the smart stadium computer room and the existing server in the smart stadium computer room, and score several factors that affect the reliability of the server in the smart stadium computer room;

[0010] Step 3: Complete the equivalent reliability test time assessment based on the industry expert scoring results and the usage data of existing servers in the smart stadium computer room;

[0011] Step 4: Identify the main failure modes that affect the servers in the computer room of the smart stadium, determine the key stimulating environmental factors, and then determine the conventional test profiles based on the server environmental test standards;

[0012] Step 5: According to the acceleration model given in GB / T 34986-2017, the conventional stress test profile is converted into an equivalent accelerated stress profile, and the accelerated test is completed in this way;

[0013] Step 6: Based on the equivalent accelerated test time and the equivalent similar product test time, evaluate the MTBF unilateral confidence lower limit to determine whether the reliability identification test of the server in the smart stadium computer room has passed.

[0014] In step 1, a timed test statistical scheme is selected from the standard GJB 899A-2009 by comprehensively considering the technical status of the equipment, the progress of the project and the cost-effectiveness ratio, and the total reliability test time T of the server in the computer room of the smart stadium is determined, and it is divided into the reliability test time T1 based on the similar product method and the reliability test time T2 based on the accelerated test method. That is:

[0015] T=T1+T2 (1)

[0016] The allocation target values ​​of T1 and T2 should be determined based on factors such as the test progress requirements, test costs, and the length of time that existing servers in the computer room of a smart sports venue are used.

[0017] In the step 2, by analyzing and studying the similarity comparison factors between the new server in the smart sports stadium computer room and the existing servers in the smart sports stadium computer room, industry experts give scoring results for each similarity comparison factor.

[0018] The similarity comparison factors of the smart sports stadium computer room servers include complexity, technical level, process level, use environment requirements, key components, and working hours.

[0019] When one of the comparison factors between the new server in the smart sports stadium computer room and the existing server in the smart sports stadium computer room is the same, the score should be equal to 10 points; if one of the comparison factors between the new server in the smart sports stadium computer room and the existing server in the smart sports stadium computer room is improved, the score should be greater than 10 points; if one of the comparison factors between the new server in the smart sports stadium computer room and the existing server in the smart sports stadium computer room is reduced, the score should be less than 10 points.

[0020] In step 3, after the similarity between products is scored using the industry expert scoring table, the reliability test time based on the similar product method is obtained by combining the historical usage time of the existing servers in the smart stadium computer room, as shown in formula (2):

[0021] T1=α*T h (2)

[0022] Where: T h is the historical usage time, and α is the similarity coefficient.

[0023]

[0024] Where: i is the mean of the similarity scores of the ith comparison factor by experts in various industries, and n is the number of key comparison factors.

[0025] The step 4 comprises the following sub-steps:

[0026] Step 4.1: The historical fault information of the existing servers in the smart stadium computer room should be investigated;

[0027] Step 4.2: Analyze and study historical failure information by combining FTA and FMEA to determine the key environmental factors that cause equipment failure;

[0028] Step 4.3: Determine the routine reliability test profile of the server in the computer room of the smart stadium based on the national, industry and enterprise environmental test standards for electrical equipment and the server design specification manual.

[0029] The step 5 comprises the following sub-steps:

[0030] After the acceleration model is given according to the standard GB / T 34986-2017, the server acceleration test profile test design method is as follows:

[0031] Step 5.1: Based on the Coffin-Manson acceleration model, as shown in formula (4), the number of test cycles is reduced by increasing the temperature variation range;

[0032] Therefore, according to N use, ΔT use , ΔT test , get the number of cycles after acceleration;

[0033]

[0034] Where: N use N is the number of temperature cycles in the use environment; test is the number of temperature cycles under test conditions; ΔT use ΔT is the temperature variation range in the operating environment, in °C; test is the temperature variation range under the test conditions, in °C; C is the model parameter, which is taken as 2.5;

[0035] Step 5.2: Based on the Arrhenius acceleration model, as shown in formula (5), by increasing the high temperature test conditions, the test time at the high temperature level is reduced;

[0036] Therefore, according to T use , T test and N test , the high temperature test time after a single cycle after acceleration can be obtained;

[0037]

[0038] Where: E a is the activation energy, which is taken as 0.7; T use is the operating temperature in °C; T test Test temperature, in °C; k is the stimulated Boltzmann constant E a 0.00008617eV, unit is K;

[0039] Step 5.3: Using the inverse power law model, as shown in equation (6), the test time under random vibration is reduced by increasing the power spectrum density;

[0040] Therefore, according to W test , W use and t use , the random vibration test time after a single cycle after acceleration can be obtained;

[0041]

[0042] Where: W test is the power spectrum density under test conditions; W use is the power spectrum density under the use environment; t use is the usage time, in h; t test is the test time, in h; b is the fatigue index, which is 3;

[0043] Step 5.4: Complete the reliability accelerated test according to the accelerated test profile and obtain the reliability test time T2 based on the accelerated test method.

[0044] In step 6, based on the actual reliability test time T1 and T2, the cumulative reliability test time T of the server in the computer room of the smart stadium is obtained, and on this basis, the MTBF unilateral confidence lower limit θ of the server in the computer room of the smart stadium is completed. L The evaluation is shown in formula (7):

[0045]

[0046] Where: r is the number of faults;

[0047] If θ L If it is greater than the target value θ1, it is considered that the server in the computer room of the smart sports stadium has passed the reliability identification test.

[0048] Compared with the prior art, the present invention has the following beneficial effects:

[0049] 1. Based on the original accelerated test technical solution, the present invention makes full use of existing resources by combining the scoring prediction method, and greatly shortens the reliability test time. Currently, there is no reliability identification test technology for servers. The present invention provides a new solution for the reliability identification test of servers. At the same time, combined with the national, industry and enterprise environmental test standards for servers and the server design specification manual, a conventional environmental test profile for the server is given to improve the adaptability and rationality of the environmental test profile of the smart stadium server.

[0050] 2. The present invention improves and optimizes the existing MTBF accelerated identification test based on the similar product method and the reliability accelerated test. Through the similar product method, the effective use of the relevant information of the existing products is improved. By carrying out actual reliability accelerated test verification, the credibility of the MTBF evaluation results can be effectively improved.

[0051] 3. The present invention can verify the product reliability for server designers and users, greatly shorten the product development cycle, and effectively reduce product development costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 The present invention is a flow chart of an MTBF accelerated identification test method suitable for a smart sports stadium server. DETAILED DESCRIPTION

[0053] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0054] The MTBF accelerated identification test method of the present invention verifies the MTBF index of the stadium computer room server by combining the similar product method and the accelerated test method. First, a qualitative conclusion is given to the equipment composition, environmental profile, hardware design and other key comparison factors of the new server in the smart stadium computer room and a server that has been used in the smart stadium computer room (hereinafter referred to as the existing server in the smart stadium computer room) through similarity analysis. On this basis, according to the industry expert scoring results and the historical use time of the existing server in the smart stadium computer room, the equivalent reliability test time of the smart stadium server is obtained. Then, by the accelerated test method, after identifying the key environmental factors of the smart stadium server, based on the inverse power rate, Arennis and Coffin-Manson model acceleration model, conventional temperature cycles, vibrations and temperature stresses are converted into equivalent accelerated stress profiles, and reliability accelerated tests are completed to obtain the equivalent reliability test time of the smart stadium server. Finally, the MTBF confidence lower limit evaluation is completed according to the equivalent reliability test time based on the similar product method and the equivalent reliability test time based on the accelerated test method, and it is judged whether the smart stadium server passes the reliability identification test.

[0055] Please see attached Figure 1 , an MTBF accelerated identification test method applicable to a server in a computer room of a smart sports stadium, comprising the following steps:

[0056] Step 1: Determine the statistical plan for the reliability test of the server in the computer room of the smart sports stadium according to the standard GJB 899A-2009 and obtain the total reliability test time.

[0057] In step 1, a timed test statistical scheme is selected from the standard GJB 899A-2009 by comprehensively considering the technical status of the equipment, the progress of the project and the cost-effectiveness ratio, and the total reliability test time T of the server in the computer room of the smart stadium is determined, and it is divided into the reliability test time T1 based on the similar product method and the reliability test time T2 based on the accelerated test method. That is:

[0058] T=T1+T2 (1)

[0059] The allocation target values ​​of T1 and T2 should be determined based on factors such as the test progress requirements, test costs, and the length of time that existing servers in the computer room of a smart sports venue are used.

[0060] Step 2: Compare the similarity between the new server in the smart stadium computer room and the existing server in the smart stadium computer room, and score several factors that affect the reliability of the server in the smart stadium computer room.

[0061] In the step 2, by analyzing and studying the similarity comparison factors between the new server in the smart sports stadium computer room and the existing servers in the smart sports stadium computer room, industry experts give scoring results for each similarity comparison factor.

[0062] Specifically, industry experts conduct qualitative analysis on various similarity comparison factors, complete the scoring of each factor, and provide quantitative analysis conclusions, namely the scoring results.

[0063] The similarity comparison factors of the smart sports stadium computer room servers include complexity, technical level, process level, use environment requirements, key components, working hours, etc.

[0064] Specifically, when a comparison factor between the new server in the smart sports stadium computer room and the existing server in the smart sports stadium computer room is the same, the score should be equal to 10 points; if a comparison factor between the new server in the smart sports stadium computer room and the existing server in the smart sports stadium computer room is improved, the score should be greater than 10 points; if a comparison factor between the new server in the smart sports stadium computer room and the existing server in the smart sports stadium computer room is reduced, the score should be less than 10 points.

[0065] Step 3: Complete the equivalent reliability test time assessment based on the industry expert scoring results and the usage data of existing servers in the smart stadium computer room.

[0066] In step 3, after the similarity between products is scored using the industry expert scoring table, the reliability test time based on the similar product method is obtained by combining the historical usage time of the existing servers in the smart stadium computer room, as shown in formula (2):

[0067] T1=α*T h (2)

[0068] Where: T h is the historical usage time, and α is the similarity coefficient.

[0069]

[0070] Where: i is the mean of the similarity scores of the ith comparison factor by experts in various industries, and n is the number of key comparison factors.

[0071] For example, the similarity score results of a server are shown in Table 1:

[0072] Table 1 Similarity scoring results of a server

[0073] Serial number Comparison Factors Rating results Serial number Comparison Factors Rating results 1 Complexity 10.94 2 Technical Level 10.91 3 Technology level 9.97 4 Working hours 10.60 5 Key components 9.28 6 Structural design 9.84

[0074] Step 4: Identify the main failure modes that affect the server, determine the key triggering environmental factors, and then determine the routine test profile based on the server-related environmental test standards.

[0075] The step 4 comprises the following sub-steps:

[0076] Step 4.1: The historical failure information of the existing servers in the smart stadium computer room should be investigated.

[0077] Step 4.2: Combine FTA (Fault Tree Analysis) and FMEA (Failure Mode and Effects Analysis) to analyze and study historical failure information and determine the key environmental factors that cause equipment failure.

[0078] Step 4.3: Determine the routine reliability test profile of the server in the computer room of the smart stadium based on the national, industry and enterprise environmental test standards for electrical equipment and the server design specification manual.

[0079] Step 5: According to the acceleration model given in GB / T 34986-2017, the conventional stress test profile is converted into an equivalent accelerated stress profile, and the accelerated test is completed in this way.

[0080] The step 5 comprises the following sub-steps:

[0081] After the acceleration model is given according to the standard GB / T 34986-2017, the server acceleration test profile test design method is as follows:

[0082] Step 5.1: Based on the Coffin-Manson accelerated model, as shown in formula (4), the number of test cycles is reduced by increasing the temperature variation range.

[0083] Therefore, according to N use , ΔT use , ΔT test , get the number of cycles after acceleration.

[0084]

[0085] Where: N use N is the number of temperature cycles in the use environment; test is the number of temperature cycles under test conditions; ΔT use is the temperature variation range in the operating environment (°C); ΔT test is the temperature variation range under the test conditions (°C); C is a model parameter, preferably 2.5.

[0086] Step 5.2: Based on the Arrhenius acceleration model, as shown in formula (5), by increasing the high temperature test conditions, the test time at the high temperature level is reduced.

[0087] Therefore, according to T use , T test and N test , the high temperature test time after a single cycle after acceleration can be obtained.

[0088]

[0089] Where: E a is the activation energy, which is taken as 0.7; T use is the operating temperature (℃); T test Test temperature (℃); k is the stimulated Boltzmann constant E a 0.00008617eV(K).

[0090] Step 5.3: Through the inverse power law model, as shown in equation (6), the test time under random vibration is reduced by increasing the power spectral density.

[0091] Therefore, according to W test , W use and t use , the random vibration test time after a single cycle after acceleration can be obtained.

[0092]

[0093] Where: W test is the power spectrum density under test conditions; W use is the power spectrum density under the use environment; t use is the usage time (h); t test is the test time (h); b is the fatigue index, which is preferably 3.

[0094] Step 5.4: Complete the reliability accelerated test according to the accelerated test profile and obtain the reliability test time T2 based on the accelerated test method.

[0095] Step 6: Based on the equivalent accelerated test time and the equivalent similar product test time, evaluate the MTBF unilateral confidence lower limit to determine whether the reliability identification test of the server in the smart stadium computer room has passed.

[0096] In step 6, based on the actual reliability test time T1 and T2, the cumulative reliability test time T of the server in the computer room of the smart stadium is obtained, and on this basis, the MTBF unilateral confidence lower limit θ of the server in the computer room of the smart stadium is completed. L assessment.

[0097]

[0098] Where: r is the number of failures.

[0099] If θ L If it is greater than the target value θ1, it is considered that the server in the computer room of the smart sports stadium has passed the reliability identification test.

[0100] The above are only preferred embodiments of the present invention and are not intended to limit the scope of protection of the invention. Therefore, any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. An MTBF accelerated identification test method suitable for servers in computer rooms of smart sports stadiums, characterized by: The following steps are involved: Step 1: Determine the statistical plan for the reliability test of the server in the computer room of the smart sports stadium according to the standard GJB 899A-2009, and obtain the total reliability test time; Step 2: Compare the similarity between the new server in the smart stadium computer room and the existing server in the smart stadium computer room, and score several factors that affect the reliability of the server in the smart stadium computer room; Step 3: Complete the equivalent reliability test time assessment based on the industry expert scoring results and the usage data of existing servers in the smart stadium computer room; Step 4: Identify the main failure modes that affect the servers in the computer room of the smart stadium, determine the key stimulating environmental factors, and then determine the conventional test profiles based on the server environmental test standards; Step 5: According to the acceleration model given in GB / T 34986-2017, the conventional stress test profile is converted into an equivalent accelerated stress profile, and the accelerated test is completed in this way; Step 6: Based on the equivalent accelerated test time and the equivalent similar product test time, evaluate the MTBF unilateral confidence lower limit to determine whether the reliability identification test of the server in the smart stadium computer room has passed.

2. The MTBF accelerated identification test method for a server in a smart sports stadium computer room according to claim 1 is characterized in that: In the step 1, a timing test statistical scheme is selected from the standard GJB 899A-2009 by comprehensively considering the technical status of the equipment, the progress of the project and the cost-effectiveness ratio, and the total reliability test time T of the server in the computer room of the smart stadium is determined, and it is divided into the reliability test time T1 based on the similar product method and the reliability test time T2 based on the accelerated test method, that is: T=T1+T2 (1) The allocation target values ​​of T1 and T2 should be determined based on factors such as the test progress requirements, test costs, and the length of time that existing servers in the computer room of a smart sports venue are used.

3. The MTBF accelerated identification test method applicable to the server in the computer room of a smart sports stadium according to claim 1 is characterized in that: In the step 2, by analyzing and studying the similarity comparison factors between the new server in the smart sports stadium computer room and the existing servers in the smart sports stadium computer room, industry experts give scoring results for each similarity comparison factor.

4. The MTBF accelerated identification test method for a server in a smart sports stadium computer room according to claim 3 is characterized in that: The similarity comparison factors of the smart sports stadium computer room servers include complexity, technical level, process level, use environment requirements, key components, and working hours.

5. The MTBF accelerated identification test method applicable to the server in the computer room of a smart sports stadium according to claim 3 is characterized in that: When one of the comparison factors between the new server in the smart sports stadium computer room and the existing server in the smart sports stadium computer room is the same, the score should be equal to 10 points; if one of the comparison factors between the new server in the smart sports stadium computer room and the existing server in the smart sports stadium computer room is improved, the score should be greater than 10 points; if one of the comparison factors between the new server in the smart sports stadium computer room and the existing server in the smart sports stadium computer room is reduced, the score should be less than 10 points.

6. The MTBF accelerated identification test method for a server in a smart sports stadium computer room according to claim 1 is characterized in that: In step 3, after the similarity between products is scored using the industry expert scoring table, the reliability test time based on the similar product method is obtained by combining the historical usage time of the existing servers in the smart stadium computer room, as shown in formula (2): T1=α*T h (2) Where: T h is the historical usage time, α is the similarity coefficient; Where: ωi is the mean of the similarity scores of the ith comparison factor by experts in each industry, and n is the number of key comparison factors.

7. The MTBF accelerated identification test method for a server in a smart sports stadium computer room according to claim 1 is characterized in that: The step 4 comprises the following sub-steps: Step 4.1: The historical fault information of the existing servers in the smart stadium computer room should be investigated; Step 4.2: Analyze and study historical failure information by combining FTA and FMEA to determine the key environmental factors that cause equipment failure; Step 4.3: Determine the routine reliability test profile of the server in the computer room of the smart stadium based on the national, industry and enterprise environmental test standards for electrical equipment and the server design specification manual.

8. The MTBF accelerated identification test method for a server in a smart sports stadium computer room according to claim 1 is characterized in that: The step 5 comprises the following sub-steps: After the acceleration model is given according to the standard GB / T 34986-2017, the server acceleration test profile test design method is as follows: Step 5.1: Based on the Coffin-Manson acceleration model, as shown in formula (4), the number of test cycles is reduced by increasing the temperature variation range; Therefore, according to N use , ΔT use , ΔT test , get the number of cycles after acceleration; Where: N use N is the number of temperature cycles in the use environment; test is the number of temperature cycles under test conditions; ΔT use ΔT is the temperature variation range in the operating environment, in °C; test is the temperature variation range under the test conditions, in °C; C is the model parameter, which is taken as 2.5; Step 5.2: Based on the Arrhenius acceleration model, as shown in formula (5), by increasing the high temperature test conditions, the test time at the high temperature level is reduced; Therefore, according to T use , T test and N test , the high temperature test time after a single cycle after acceleration can be obtained; Where: E a is the activation energy, which is taken as 0.7; T use is the operating temperature in °C; T test Test temperature, in °C; k is the stimulated Boltzmann constant E a 0.00008617eV, unit is K; Step 5.3: Using the inverse power law model, as shown in equation (6), the test time under random vibration is reduced by increasing the power spectrum density; Therefore, according to W test , W use and t use , the random vibration test time after a single cycle after acceleration can be obtained; Where: W test is the power spectrum density under test conditions; W use is the power spectrum density under the use environment; t use is the usage time, in h; t test is the test time, in h; b is the fatigue index, which is 3; Step 5.4: Complete the reliability accelerated test according to the accelerated test profile and obtain the reliability test time T2 based on the accelerated test method.

9. The MTBF accelerated identification test method for a server in a smart sports stadium computer room according to claim 1 is characterized in that: In step 6, based on the actual reliability test time T1 and T2, the cumulative reliability test time T of the server in the computer room of the smart stadium is obtained, and on this basis, the MTBF unilateral confidence lower limit θ of the server in the computer room of the smart stadium is completed. L The evaluation is shown in formula (7): Where: r is the number of faults; If θ L If it is greater than the target value θ1, it is considered that the server in the computer room of the smart sports stadium has passed the reliability identification test.

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