CN107391351A - A kind of computer equipment health state evaluation method - Google Patents

A kind of computer equipment health state evaluation method Download PDF

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Publication number
CN107391351A
CN107391351A CN201710538619.1A CN201710538619A CN107391351A CN 107391351 A CN107391351 A CN 107391351A CN 201710538619 A CN201710538619 A CN 201710538619A CN 107391351 A CN107391351 A CN 107391351A
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China
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equipment
score
today
computer
points
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Inventor
王云海
王萍
杜小月
钱晨
冯熙
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Lincang Power Supply Bureau of Yunnan Power Grid Co Ltd
Kunming Enersun Technology Co Ltd
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Lincang Power Supply Bureau of Yunnan Power Grid Co Ltd
Kunming Enersun Technology Co Ltd
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Priority to CN201710538619.1A priority Critical patent/CN107391351A/en
Publication of CN107391351A publication Critical patent/CN107391351A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/008Reliability or availability analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/30Monitoring
    • G06F11/34Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
    • G06F11/3447Performance evaluation by modeling
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/30Monitoring
    • G06F11/34Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
    • G06F11/3452Performance evaluation by statistical analysis

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Quality & Reliability (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Hardware Design (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Probability & Statistics with Applications (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

A kind of computer equipment health state evaluation method, step are:According to time factor to equipment health status impact evaluation;Device type and crash rate caused by the time of putting into operation are to equipment health status impact evaluation;Apparatus of load takes device resource rate to equipment health status impact evaluation;Equipment year, fault rate was to equipment health status impact evaluation;Equipment accident is to equipment health status impact evaluation;Building environment is to equipment health status impact evaluation where equipment;The evaluation of equipment health status.The present invention proposes the solution method with experimental basis and theoretical foundation for the health state evaluation of computer equipment, solve the problems, such as the superseded method of equipment and the missing of health state evaluation method in enterprise or unit Computer computer room, the operation present situation of enterprise or unit computer equipment can be combed by this method, reduce managing risk, reliability and execution efficiency in enhancement informationization construction.Method is calculated using Excel packagings, and convenient and swift, visual result is accurate.

Description

A kind of computer equipment health state evaluation method
Technical field
The invention belongs to computer equipment health state evaluation method and technology.
Background technology
With the continuous propulsion of continuous development and the informatization of informationization technology, emerging technology such as cloud computing, cloud Platform, artificial intelligence etc. are constantly changing the live and work mode of people, but the actual use and informationization of technology are built If basis must be put into use along with increasing computer resource and equipment behind, therefore computer equipment is good for Health state estimation is just particularly important.
Through investigation, it is on the market and in the absence of the health state evaluation method of computer equipment, the method at this stage Start precedent, different computer equipment (server, the network equipment, storage device etc.) can be carried out health level (the healthy phase, Declining period, move back fortune or degrade the phase) evaluation, and provide equipment disposal suggest for policymaker refer to, solve computer equipment conscientiously State estimation is difficult, eliminates the unsharp problem of boundary.
The content of the invention
The purpose of the present invention is precisely in order to overcoming above-mentioned the shortcomings of the prior art and providing a kind of to different calculating Machine equipment carries out the computer equipment health state evaluation method of health level evaluation.The present invention is to come by following technical solution Realize:
There is the health status that many dimensions can influence computer equipment, these dimensions are from different levels, direction, and degree can be with Reflect the health status of computer equipment.In health state evaluation, selected dimension is not The more the better, but should Choose representative, equipment operation can be directly influenced, the good and bad typical case of reflection equipment state assesses dimension, and ensures selection Dimensional information there is measurability, completeness, independence, objectivity and uniformity.This method by further investigation, have chosen as Three product specification shown in Fig. 1, operation conditions, historical situation principal elements, and specific six dimensions establish equipment and are good for Health state estimation system.
This method passes through six kinds of assessment number of dimensions to being chosen in 2321 computer equipment state of health data and method According to statistics, calculate analysis, and invite several experts to come to each dimension according to its significance level from each Technological Problems In Computer Manufacturing business men Given a mark, weight coefficient is calculated according to data above support and theory support, as shown in percentage in Fig. 4, and because of equipment Life-span successively decreases in use, so every score is deduction item in scoring process, wherein device type score has Body calculating process is such as:(device type score -100) * 90%.
Method implements step:
(1) equipment information collection:
Every terms of information in Fig. 1 dimensions is acquired, information gathering form as shown in figure 3, information gathering suggestion by setting The standby buying mode such as table, corporate assets information table draws the data of needs, and by data after being compared with calculator room equipment actual information Preserved in the excel that input this method is used.Carried out after the completion of data acquisition by following appraisal procedure in excel The arrangement of data, calculate and analyze.
(2) assessment that equipment brand influences according to time factor on equipment health status:
The disabling devices of different brands are counted and Data Collection, by data analysis and by failure rate characteristic segmented line After property, approximate linear relationship such as Fig. 5 is drawn, in 0-10 is passed with brand score according to this linear relationship equipment score Subtract, equipment is thought of as after 10 years and necessarily moves back fortune, 50 points are fixed so being scored at;
Calculating process is as follows:
One line brand:100
Subsidiary brand:90
Other brands:80
Score above is Y, and the putting equipment in service time is T
Work as T<When 10:Equipment brand is scored at:Y-(Y-50)/10*T
T>When=10:Equipment brand is scored at 50 points
100 points subtract that 0.2 is multiplied by after this score is to need reduced fraction in total score, in the methods of the invention, calculate Implementation method be that Microsoft Excel formula calculates, EXCEL formula are as follows:
=IF ((TODAY ()-Y2)/365>10, -5, IF (the line brands of X2=" one "), -1-0.4* (TODAY ()-Y2)/ 365, IF (X2=" subsidiary brands "), -2-0.8* (TODAY ()-Y2)/365, -3-0.7* (TODAY ()-Y2)/365)))
Wherein Y is classified as the putting equipment in service time of above-mentioned steps collection, and X is classified as equipment brand, passes through logic in EXCEL The project evaluation score is drawn with relation and above-mentioned calculation formula;
(3) assessment that device type and crash rate caused by the time of putting into operation influence on equipment health status
The crash rate of electronic equipment refers to work to the product currently without failure, in the probability that can be failed afterwards, Crash rate meets the curve in Fig. 6, is referred to as tub curve;In tub curve, because earlier failure period in computer equipment In the guarantee period, in the methods of the invention, 100 points are scored in this period equipment;
According to the research to this principle and by the data sampling to physical device in the inventive method, by data analysis and Following Linear Score relation is drawn after approximation as shown in fig. 7, the wherein minicomputer life-span is considerably longer than other equipment, according to failure The score curve of rate also has more apparent difference with other equipment;
Calculating process is as follows:
Total score=100, T=puts into operation the time
X86-based, storage and SAN network equipment:
T<=2 years:95
2 years<T<=6 years:95-(T-2)*6.25
T>6 years:70-(T-6)*15
Minicomputer:
T<=3 years:95
3 years<T<=7 years:95-(T-2)*5
T>7 years:70-(T-6)*12
100 points subtract that 0.8 is multiplied by after this score is to need reduced fraction in total score;Calculated in the method for the present invention Implementation method calculates for Microsoft Excel formula, and EXCEL formula are as follows:
=0.9* (IF (D2<>" minicomputer ", IF ((TODAY ()-Y1)/365<2,95,IF((TODAY()-Y2)/ 365 <6,95-((TODAY()-Y2)/365-2)*6.25,70-((TODAY()-Y2)/365-6)*10)),IF
((TODAY()-Y2)/365<2,95,IF((TODAY()-Y2)/365<6,95-((TODAY()-Y2)/365- 2)*5,70-((TODA Y()-Y2)/365-6)*8))))-90
In formula Y2 be classified as the putting equipment in service time row, by logical sum algorithmic formula can realize device type as described above and Put into operation the assessment result score that crash rate caused by the time influences on equipment health status;
(4) computer equipment load takes the assessment that device resource rate influences on equipment health status
The equipment of long-time oepration at full load can be more shorter than the service life of equipment of underrun, leads in the inventive method Equipment average resource utilization rate that step (1) counts on is crossed to judge load height, according to following score by rules come to healthy shape State is assessed:
Equipment CPU, internal memory, network average service rate 0%-50%:90 points
Equipment CPU, internal memory, network average service rate 50%-80%:75 points
Equipment CPU, internal memory, network average service rate 80%-100%:60 points
100 points subtract that 0.2 is multiplied by after this score is to need reduced fraction in total score;In the method for the present invention, this step Suddenly it is embodied as being calculated by following Excel formula:
=IF (AG2<0.5,-2,IF(AG2<0.8,-5,-8))
Wherein AG is classified as apparatus of load and averagely takes device resource rate, and the step result of calculation uses for apparatus of load resource Influence score of the rate to equipment health;
(5) assessment that computer equipment year fault rate influences on equipment health status
Computer equipment failure typically has multiple, and the probability that breaks down next time of equipment of more multiple faults occurred Also higher, fault rate is as follows to equipment health state evaluation in the inventive method:
Total score=100, C=failure total degree
C<=1:100
1<C<=2:80
C>2:60
100 points subtract that 0.1 is multiplied by after this score is to need reduced fraction in total score;In the method for the present invention, this step Suddenly it is embodied as being calculated by following Excel formula:
=IF (W21<1,-1,IF(1<W21<2,-2,IF(W21>2,-4,0))):
Wherein W is classified as the year fault rate of equipment, and the step result of calculation is influence of the equipment year fault rate to equipment health Score;
(6) assessment that computer equipment accident influences on equipment health status
Accident occurs in use for computer equipment will influence the service life of equipment, the method for the present invention In be specifically divided into and what time scored as follows:
Zero accident event:100
Fall and touch:50
Accident power-off:90
Electro-static Driven Comb:90
100 points subtract that 0.1 is multiplied by after this score is to need reduced fraction in total score;In the method, this step is realized To be calculated by following Excel formula
=IF (AF21=" accident power-off ", -1, IF (AF21=" Electro-static Driven Comb ", -1, IF (AF21=" falls and touched ", and -5, 0)))
AF in wherein Excel is classified as the accident information filling row of equipment, and the step result of calculation is that equipment is unexpected Influence score of the event to equipment health;
(7) assessment that building environment where computer equipment influences on equipment health status
The quality of computer room environment determines the reliability of computer equipment, aging speed and service life;Pass through The computer room environmental data drawn in information gathering procedure, data are corresponded into national standard GB2887-89 by computer room ring afterwards Border condition is divided into A, B, C three-level;
The inventive method draws scoring, scoring to the equipment in A, B, C three-level computer room according to run time length respectively The formulation foundation of mode is the Data Collection to physical device, analysis, is calculated after modeling by approximate linear relationship Obtain;Specific methods of marking is as follows:
A class computer rooms:100
B class computer rooms:90
C class computer rooms:80
Other computer rooms:70
Score above is:Y equipment is in the time in computer room and is:T
T<When=1:Equipment machine room environment score Y- (Y-50)/10*T
As T > 10:Equipment machine room environment is scored at 50 points
100 points subtract that 0. is multiplied by after this score is to need reduced fraction in total score, are achieved in that in the method Calculated by Excel formula, formula is as follows:
=IF ((TODAY ()-Y21)/365>10,-10,IF(COUNT(FIND("C",J21)),-5-0.5*(TODAY ()-Y21)/365, IF (J21=" A ", -1-0.9* (TODAY ()-Y21)/365, IF (J21=" B ", -3-0.7* (TODAY ()-Y21)/365,
-4-0.6*(TODAY()-Y21)/365,-6-0.4*(TODAY()-Y21)/365))))
Wherein Y row are putting into operation the time for equipment, and J is classified as the building environment grade of equipment, and the step results are scored at calculating The score that building environment where machine equipment influences on equipment health status;
(8) evaluation of computer equipment health status
By adding 100 points after the appraisal result in step (1)-(6) is added, resulting final score is this method The score of Computer equipment health status, this method input formula in excel and the meter in Fig. 4 are can obtain after being calculated Result is calculated, state outcome corresponding to following score is by actual investigation and the result to 2321 equipment evaluation data analyses:
Score:80-100 points, the equipment health phase;
Score:60-80 points, equipment declining period;
Score:0-60 points, equipment eliminates the degradation phase.
The advantages of invention or benefit
The present invention proposes the solution party with experimental basis and theoretical foundation for the health state evaluation of computer equipment Method, solve the problems, such as the superseded method of equipment and the missing of health state evaluation method in enterprise or unit Computer computer room, The operation present situation of enterprise or unit computer equipment can be combed by this method, the patent is according to equipment health state evaluation result The equipment disposal suggestion that specialty can be provided is as follows:
1. healthy phase equipment:According to operation system demand reasonable distribution device resource, equipment normal operation is ensured as far as possible, is subtracted Few oepration at full load situation, the normal O&M of equipment, is not disposed.
2. declining period equipment:It should be tried one's best in declining period equipment and be not used in carrying or operation core business, it is proposed that be used for Build the business such as resource pool, test environment.
3. eliminate degradation phase equipment:One grade of server apparatus is in is downgraded to two grades of servers, two grades of servers during this period In third gear server is downgraded to during this period, third gear server, SAN network and storage device, which are in during this period then suggestion and done, scraps Eliminate processing.(equipment after degradation according to Moore's Law can make to put into operation the time reduce 3 years after carry out equipment grading, root again Determine the need for degrading again according to final score)
Informatization management cost can be reduced after suggesting disposal facility according to method and reduces managing risk, enhancement information Change the reliability and execution efficiency in building.Method is calculated using Excel packagings, and convenient and swift, visual result is accurate.
Brief description of the drawings
Fig. 1 is general structure schematic diagram of the present invention;
Fig. 2 is equipment health state evaluation index;
Fig. 3 is the collection format chart to every terms of information in dimension;
Fig. 4 is the assessment figure of equipment health status;
Fig. 5 is the curve map that equipment brand influences according to time factor on equipment health status;
Fig. 6 is tub curve figure;
Fig. 7 is that device type and crash rate caused by the time of putting into operation influence graph of a relation to equipment health status.
Embodiment
See Fig. 1, Fig. 2, Fig. 3, Fig. 4, a kind of computer equipment health state evaluation method, according to following steps:
(1) assessment that equipment brand influences according to time factor on equipment health status:
The disabling devices of different brands are counted and Data Collection, by data analysis and by failure rate characteristic segmented line After property, approximate linear relationship is drawn, in 0-10 is successively decreased with brand score according to this linear relationship equipment score, 10 Equipment is thought of as after year and necessarily moves back fortune, and 50 points are fixed so being scored at;
Calculating process is as follows:
One line brand:100
Subsidiary brand:90
Other brands:80
Score above is Y, and the putting equipment in service time is T
Work as T<When 10:Equipment brand is scored at:Y-(Y-50)/10*T
T>When=10:Equipment brand is scored at 50 points
100 points subtract that 0.2 is multiplied by after this score is to need reduced fraction in total score, in this method, the reality of calculating Existing method calculates for Microsoft Excel formula, and EXCEL formula are as follows:
=IF ((TODAY ()-Y2)/365>10, -5, IF (the line brands of X2=" one "), -1-0.4* (TODAY ()-Y2)/ 365, IF (X2=" subsidiary brands "), -2-0.8* (TODAY ()-Y2)/365, -3-0.7* (TODAY ()-Y2)/365)))
Wherein Y is classified as the putting equipment in service time of above-mentioned steps collection, and X is classified as equipment brand, passes through logic in EXCEL The project evaluation score is drawn with relation and above-mentioned calculation formula;
(2) assessment that device type and crash rate caused by the time of putting into operation influence on equipment health status
The crash rate of electronic equipment refers to work to the product currently without failure, in the probability that can be failed afterwards, Crash rate meets such as lower curve, is referred to as tub curve;In tub curve, because earlier failure period is in computer equipment Guarantee period, in the method for the present invention, 100 points are scored in this period equipment;
According to the research to this principle and by the data sampling to physical device in the inventive method, by data analysis and Following Linear Score relation is drawn after approximation, the wherein minicomputer life-span is considerably longer than other equipment, according to the score of crash rate Curve also has more apparent difference with other equipment;
Calculating process is as follows:
Total score=100, T=puts into operation the time
X86-based, storage and SAN network equipment:
T<=2 years:95
2 years<T<=6 years:95-(T-2)*6.25
T>6 years:70-(T-6)*15
Minicomputer:
T<=3 years:95
3 years<T<=7 years:95-(T-2)*5
T>7 years:70-(T-6)*12
100 points subtract that 0.8 is multiplied by after this score is to need reduced fraction in total score;Calculated in the method for the present invention Implementation method calculates for Microsoft Excel formula, and EXCEL formula are as follows:
=0.9* (IF (D2<>" minicomputer ", IF ((TODAY ()-Y1)/365<2,95,IF((TODAY()-Y2)/ 365 <6,95-((TODAY()-Y2)/365-2)*6.25,70-((TODAY()-Y2)/365-6)*10)),IF
((TODAY()-Y2)/365<2,95,IF((TODAY()-Y2)/365<6,95-((TODAY()-Y2)/365- 2)*5,70-((TODA Y()-Y2)/365-6)*8))))-90
In formula Y2 be classified as the putting equipment in service time row, by logical sum algorithmic formula can realize device type as described above and Put into operation the assessment result score that crash rate caused by the time influences on equipment health status;
(3) computer equipment load takes the assessment that device resource rate influences on equipment health status
The equipment of long-time oepration at full load can be more shorter than the service life of equipment of underrun, passes through step in the method Suddenly the equipment average resource utilization rate that (1) counts on judge load height, health status is entered according to following score by rules Row is assessed:Equipment CPU, internal memory, network average service rate 0%-50%:90 points
Equipment CPU, internal memory, network average service rate 50%-80%:75 points
Equipment CPU, internal memory, network average service rate 80%-100%:60 points
100 points subtract that 0.2 is multiplied by after this score is to need reduced fraction in total score;In the method for the present invention, this step Suddenly it is embodied as being calculated by following Excel formula:
=IF (AG2<0.5,-2,IF(AG2<0.8,-5,-8))
Wherein AG is classified as apparatus of load and averagely takes device resource rate, and the step result of calculation uses for apparatus of load resource Influence score of the rate to equipment health;
(4) assessment that computer equipment year fault rate influences on equipment health status
Computer equipment failure typically has multiple, and the probability that breaks down next time of equipment of more multiple faults occurred Also higher, fault rate is as follows to equipment health state evaluation in the method for the present invention:
Total score=100, C=failure total degree
C<=1:100
1<C<=2:80
C>2:60
100 points subtract that 0.1 is multiplied by after this score is to need reduced fraction in total score;In the inventive method, this step It is embodied as being calculated by following Excel formula:
=IF (W21<1,-1,IF(1<W21<2,-2,IF(W21>2,-4,0))):
Wherein W is classified as the year fault rate of equipment, and the step result of calculation is influence of the equipment year fault rate to equipment health Score;
(5) assessment that computer equipment accident influences on equipment health status
Accident occurs in use for computer equipment will influence the service life of equipment, the method for the present invention In be specifically divided into and what time scored as follows:
Zero accident event:100
Fall and touch:50
Accident power-off:90
Electro-static Driven Comb:90
100 points subtract that 0.1 is multiplied by after this score is to need reduced fraction in total score;In the method for the present invention, this step Suddenly it is embodied as being calculated by following Excel formula
=IF (AF21=" accident power-off ", -1, IF (AF21=" Electro-static Driven Comb ", -1, IF (AF21=" falls and touched ", and -5, 0)))
AF in wherein Excel is classified as the accident information filling row of equipment, and the step result of calculation is that equipment is unexpected Influence score of the event to equipment health;
(6) assessment that building environment where computer equipment influences on equipment health status
The quality of computer room environment determines the reliability of computer equipment, aging speed and service life;Pass through The computer room environmental data drawn in information gathering procedure, data are corresponded into national standard GB2887-89 by computer room ring afterwards Border condition is divided into A, B, C three-level;
The method draws scoring, marking mode to the equipment in A, B, C three-level computer room according to run time length respectively Formulation according to being to the Data Collection of physical device, analysis, be calculated after modeling by approximate linear relationship; Specific methods of marking is as follows:
A class computer rooms:100
B class computer rooms:90
C class computer rooms:80
Other computer rooms:70
Score above is:Y equipment is in the time in computer room and is:T
T<When=1:Equipment machine room environment score Y- (Y-50)/10*T
As T > 10:Equipment machine room environment is scored at 50 points
100 points subtract that 0. is multiplied by after this score is to need reduced fraction in total score, are achieved in that in the method Calculated by Excel formula, formula is as follows:
=IF ((TODAY ()-Y21)/365>10,-10,IF(COUNT(FIND("C",J21)),-5-0.5*(TODAY ()-Y21)/365, IF (J21=" A ", -1-0.9* (TODAY ()-Y21)/365, IF (J21=" B ", -3-0.7* (TODAY ()-Y21)/365,
-4-0.6*(TODAY()-Y21)/365,-6-0.4*(TODAY()-Y21)/365))))
Wherein Y row are putting into operation the time for equipment, and J is classified as the building environment grade of equipment, and the step results are scored at calculating The score that building environment where machine equipment influences on equipment health status;
(7) evaluation of computer equipment health status
By adding 100 points after the appraisal result in step (1)-(6) is added, resulting final score is this method The score of Computer equipment health status, this method are drawn by the investigation to physical device and estimation to draw a conclusion:
Score:80-100 points, the equipment health phase;
Score:60-80 points, equipment declining period;
Score:0-60 points, equipment eliminates the degradation phase.

Claims (1)

  1. A kind of 1. computer equipment health state evaluation method, it is characterised in that according to following steps:
    (1) assessment that equipment brand influences according to time factor on equipment health status:
    The disabling devices of different brands are counted and Data Collection, by data analysis and by failure rate characteristic piece-wise linearization Afterwards, approximate linear relationship is drawn, in 0-10 is successively decreased with brand score according to this linear relationship equipment score, after 10 years It is thought of as equipment and necessarily moves back fortune, 50 points is fixed so being scored at;
    Calculating process is as follows:
    One line brand:100
    Subsidiary brand:90
    Other brands:80
    Score above is Y, and the putting equipment in service time is T
    Work as T<When 10:Equipment brand is scored at:Y-(Y-50)/10*T
    T>When=10:Equipment brand is scored at 50 points
    100 points subtract that 0.2 is multiplied by after this score is to need reduced fraction, in this method, the realization side of calculating in total score Method calculates for Microsoft Excel formula, and EXCEL formula are as follows:
    =IF ((TODAY ()-Y2)/365>10, -5, IF (the line brands of X2=" one "), -1-0.4* (TODAY ()-Y2)/365, IF (X2=" subsidiary brands "), -2-0.8* (TODAY ()-Y2)/365, -3-0.7* (TODAY ()-Y2)/365)))
    Wherein Y is classified as the putting equipment in service time of above-mentioned steps collection, and X is classified as equipment brand, is matched and closed by logic in EXCEL System and above-mentioned calculation formula draw the project evaluation score;
    (2) assessment that device type and crash rate caused by the time of putting into operation influence on equipment health status
    The crash rate of electronic equipment refers to work to the product currently without failure, in the probability that can be failed afterwards, failure Rate meets such as lower curve, is referred to as tub curve;In tub curve, because earlier failure period is in guaranteeing to keep in good repair in computer equipment Phase, in the method for the present invention, 100 points are scored in this period equipment;
    According to the research to this principle and by the data sampling to physical device in the inventive method, by data analysis and approximation Following Linear Score relation is drawn afterwards, and the wherein minicomputer life-span is considerably longer than other equipment, according to the score curve of crash rate Also there is more apparent difference with other equipment;
    Calculating process is as follows:
    Total score=100, T=puts into operation the time
    X86-based, storage and SAN network equipment:
    T<=2 years:95
    2 years<T<=6 years:95-(T-2)*6.25
    T>6 years:70-(T-6)*15
    Minicomputer:
    T<=3 years:95
    3 years<T<=7 years:95-(T-2)*5
    T>7 years:70-(T-6)*12
    100 points subtract that 0.8 is multiplied by after this score is to need reduced fraction in total score;The realization calculated in the method for the present invention Method calculates for Microsoft Excel formula, and EXCEL formula are as follows:
    =0.9* (IF (D2<>" minicomputer ", IF ((TODAY ()-Y1)/365<2,95,IF((TODAY()-Y2)/365<6, 95-((TODAY()-Y2)/365-2)*6.25,70-((TODAY()-Y2)/365-6)*10)),IF((TODAY()-Y2)/ 365<2,95,IF((TODAY()-Y2)/365<6,95-((TODAY()-Y2)/365-2)*5,70-((TODA Y()-Y2)/ 365-6)*8))))-90
    Y2 is classified as putting equipment in service time row in formula, can realize device type as described above by logical sum algorithmic formula and put into operation The assessment result score that crash rate caused by time influences on equipment health status;
    (3) computer equipment load takes the assessment that device resource rate influences on equipment health status
    The equipment of long-time oepration at full load can be more shorter than the service life of equipment of underrun, passes through step in the method (1) the equipment average resource utilization rate counted on come judge load height, according to following score by rules come to health status carry out Assess:
    Equipment CPU, internal memory, network average service rate 0%-50%:90 points
    Equipment CPU, internal memory, network average service rate 50%-80%:75 points
    Equipment CPU, internal memory, network average service rate 80%-100%:60 points
    100 points subtract that 0.2 is multiplied by after this score is to need reduced fraction in total score;In the method for the present invention, this step is real It is now to be calculated by following Excel formula:
    =IF (AG2<0.5,-2,IF(AG2<0.8,-5,-8))
    Wherein AG is classified as apparatus of load and averagely takes device resource rate, and the step result of calculation is apparatus of load resource utilization pair The influence score of equipment health;
    (4) assessment that computer equipment year fault rate influences on equipment health status
    Computer equipment failure typically has multiple, and the probability that breaks down next time of equipment of more multiple faults occurred also just Higher, fault rate is as follows to equipment health state evaluation in the method for the present invention:
    Total score=100, C=failure total degree
    C<=1:100
    1<C<=2:80
    C>2:60
    100 points subtract that 0.1 is multiplied by after this score is to need reduced fraction in total score;In the inventive method, this step is realized To be calculated by following Excel formula:
    =IF (W21<1,-1,IF(1<W21<2,-2,IF(W21>2,-4,0))):
    Wherein W is classified as the year fault rate of equipment, and the step result of calculation is equipment year fault rate to the healthy influence score of equipment;
    (5) assessment that computer equipment accident influences on equipment health status
    Accident occurs in use for computer equipment will influence the service life of equipment, have in the method for the present invention What time body is scored as follows if being divided into:
    Zero accident event:100
    Fall and touch:50
    Accident power-off:90
    Electro-static Driven Comb:90
    100 points subtract that 0.1 is multiplied by after this score is to need reduced fraction in total score;In the method for the present invention, this step is real It is now to be calculated by following Excel formula
    =IF (AF21=" accident power-off ", -1, IF (AF21=" Electro-static Driven Comb ", -1, IF (AF21=" falls and touched ", -5,0)))
    AF in wherein Excel is classified as the accident information filling row of equipment, and the step result of calculation is equipment accident To the influence score of equipment health;
    (6) assessment that building environment where computer equipment influences on equipment health status
    The quality of computer room environment determines the reliability of computer equipment, aging speed and service life;Pass through information The computer room environmental data drawn in collection step, data are corresponded into national standard GB2887-89 by building environment bar afterwards Part is divided into A, B, C three-level;
    The method draws scoring, the system of marking mode to the equipment in A, B, C three-level computer room according to run time length respectively Fixed foundation is the Data Collection to physical device, analysis, is calculated after modeling by approximate linear relationship;Specifically Methods of marking is as follows:
    A class computer rooms:100
    B class computer rooms:90
    C class computer rooms:80
    Other computer rooms:70
    Score above is:Y equipment is in the time in computer room and is:T
    T<When=1:Equipment machine room environment score Y- (Y-50)/10*T
    As T > 10:Equipment machine room environment is scored at 50 points
    100 points subtract that 0. is multiplied by after this score is to need reduced fraction in total score, are achieved in that pass through in the method Excel formula are calculated, and formula is as follows:
    =IF ((TODAY ()-Y21)/365>10,-10,IF(COUNT(FIND("C",J21)),-5-0.5*(TODAY()- Y21)/365, IF (J21=" A ", -1-0.9* (TODAY ()-Y21)/365, IF (J21=" B ", -3-0.7* (TODAY () - Y21)/365,-4-0.6*(TODAY()-Y21)/365,-6-0.4*(TODAY()-Y21)/365))))
    Wherein Y row are putting into operation the time for equipment, and J is classified as the building environment grade of equipment, and the step results are scored at computer and set The score that standby place building environment influences on equipment health status;
    (7) evaluation of computer equipment health status
    By adding 100 points after the appraisal result in step (1)-(6) is added, resulting final score is fallen into a trap for this method The score of machine equipment health status is calculated, this method is drawn by the investigation to physical device and estimation to draw a conclusion:
    Score:80-100 points, the equipment health phase;
    Score:60-80 points, equipment declining period;
    Score:0-60 points, equipment eliminates the degradation phase.
CN201710538619.1A 2017-07-04 2017-07-04 A kind of computer equipment health state evaluation method Pending CN107391351A (en)

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Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108089963A (en) * 2017-11-27 2018-05-29 温州大学瓯江学院 A kind of multi-media classroom computer excess detection method and device
CN109377123A (en) * 2018-09-11 2019-02-22 南京众创企业服务有限公司 A kind of consulting of computer technology and assessment supply chain system
CN109637636A (en) * 2018-12-28 2019-04-16 上海奥普生物医药有限公司 Data processing method and device
CN109669850A (en) * 2018-12-21 2019-04-23 云南电网有限责任公司电力科学研究院 A kind of operating status appraisal procedure of terminal device
CN109784658A (en) * 2018-12-18 2019-05-21 北京市天元网络技术股份有限公司 Fibre distribution frame equipment quality automatic evaluation method and device
CN111274087A (en) * 2020-01-15 2020-06-12 国网湖南省电力有限公司 Health degree evaluation method of IT centralized monitoring business system
CN112734279A (en) * 2021-01-20 2021-04-30 西门子工厂自动化工程有限公司 Method, tool, device, medium and product for technical evaluation of industrial technical services

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160321123A1 (en) * 2015-04-30 2016-11-03 Fujitsu Limited Storage system and control apparatus
CN106779317A (en) * 2016-11-25 2017-05-31 国网河南省电力公司电力科学研究院 A kind of grid equipment method for evaluating quality
CN106776214A (en) * 2016-12-12 2017-05-31 广州市申迪计算机系统有限公司 A kind of server health degree appraisal procedure

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160321123A1 (en) * 2015-04-30 2016-11-03 Fujitsu Limited Storage system and control apparatus
CN106779317A (en) * 2016-11-25 2017-05-31 国网河南省电力公司电力科学研究院 A kind of grid equipment method for evaluating quality
CN106776214A (en) * 2016-12-12 2017-05-31 广州市申迪计算机系统有限公司 A kind of server health degree appraisal procedure

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
李晋等: "大型机电设备健康状态评估方法研究", 《工矿自动化》 *

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108089963A (en) * 2017-11-27 2018-05-29 温州大学瓯江学院 A kind of multi-media classroom computer excess detection method and device
CN108089963B (en) * 2017-11-27 2021-03-26 温州大学瓯江学院 Multimedia classroom computer allowance detection method and device
CN109377123A (en) * 2018-09-11 2019-02-22 南京众创企业服务有限公司 A kind of consulting of computer technology and assessment supply chain system
CN109784658A (en) * 2018-12-18 2019-05-21 北京市天元网络技术股份有限公司 Fibre distribution frame equipment quality automatic evaluation method and device
CN109669850A (en) * 2018-12-21 2019-04-23 云南电网有限责任公司电力科学研究院 A kind of operating status appraisal procedure of terminal device
CN109637636A (en) * 2018-12-28 2019-04-16 上海奥普生物医药有限公司 Data processing method and device
CN111274087A (en) * 2020-01-15 2020-06-12 国网湖南省电力有限公司 Health degree evaluation method of IT centralized monitoring business system
CN111274087B (en) * 2020-01-15 2023-04-07 国网湖南省电力有限公司 Health degree evaluation method of IT centralized monitoring business system
CN112734279A (en) * 2021-01-20 2021-04-30 西门子工厂自动化工程有限公司 Method, tool, device, medium and product for technical evaluation of industrial technical services

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