CN107391351A - A kind of computer equipment health state evaluation method - Google Patents
A kind of computer equipment health state evaluation method Download PDFInfo
- 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
- Authority
- CN
- China
- Prior art keywords
- equipment
- score
- today
- computer
- points
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/008—Reliability or availability analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/34—Recording 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
- G06F11/3447—Performance evaluation by modeling
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/34—Recording 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
- G06F11/3452—Performance evaluation by statistical analysis
Landscapes
- 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
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)
- 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:100Subsidiary brand:90Other brands:80Score above is Y, and the putting equipment in service time is TWork as T<When 10:Equipment brand is scored at:Y-(Y-50)/10*TT>When=10:Equipment brand is scored at 50 points100 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 statusThe 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 timeX86-based, storage and SAN network equipment:T<=2 years:952 years<T<=6 years:95-(T-2)*6.25T>6 years:70-(T-6)*15Minicomputer:T<=3 years:953 years<T<=7 years:95-(T-2)*5T>7 years:70-(T-6)*12100 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))))-90Y2 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 statusThe 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 pointsEquipment CPU, internal memory, network average service rate 50%-80%:75 pointsEquipment CPU, internal memory, network average service rate 80%-100%:60 points100 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 statusComputer 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 degreeC<=1:1001<C<=2:80C>2:60100 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 statusAccident 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:100Fall and touch:50Accident power-off:90Electro-static Driven Comb:90100 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 statusThe 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:100B class computer rooms:90C class computer rooms:80Other computer rooms:70Score above is:Y equipment is in the time in computer room and is:TT<When=1:Equipment machine room environment score Y- (Y-50)/10*TAs T > 10:Equipment machine room environment is scored at 50 points100 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 statusBy 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.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710538619.1A CN107391351A (en) | 2017-07-04 | 2017-07-04 | A kind of computer equipment health state evaluation method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710538619.1A CN107391351A (en) | 2017-07-04 | 2017-07-04 | A kind of computer equipment health state evaluation method |
Publications (1)
Publication Number | Publication Date |
---|---|
CN107391351A true CN107391351A (en) | 2017-11-24 |
Family
ID=60334995
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201710538619.1A Pending CN107391351A (en) | 2017-07-04 | 2017-07-04 | A kind of computer equipment health state evaluation method |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN107391351A (en) |
Cited By (7)
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)
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 |
-
2017
- 2017-07-04 CN CN201710538619.1A patent/CN107391351A/en active Pending
Patent Citations (3)
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)
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)
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 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN107391351A (en) | A kind of computer equipment health state evaluation method | |
CN106020715B (en) | Storage pool capacity management | |
CN106875110A (en) | Operational indicator layered calculation method and device, distributed computing method and system | |
CN101493913A (en) | Method and system for assessing user credit in internet | |
CN107784519A (en) | A kind of advertising results appraisal procedure and server | |
CN109242279A (en) | A kind of appraisal procedure and server | |
CN107527134A (en) | A kind of distribution transformer state evaluating method and device based on big data | |
CN108573348A (en) | Financial indicator distributed computing method and its system | |
CN110348540A (en) | Electrical power system transient angle stability Contingency screening method and device based on cluster | |
CN102682212B (en) | Reliability measurement method for mechanical and electrical product | |
CN106709623A (en) | Power grid marketing inspection risk control method based on risk calculation model | |
CN108256816A (en) | A kind of commission data processing method, device and equipment | |
CN116703109A (en) | Method, device, equipment and storage medium for selecting power distribution network project | |
Wang et al. | Using BS-PSD-LDA approach to measure operational risk of Chinese commercial banks | |
CN109766333A (en) | Data processing empty value method, apparatus and terminal device | |
CN114818285A (en) | Method, device, equipment and medium for processing harmfulness of charging equipment | |
CN106681967A (en) | Meter changing operation method based on data backtracking mechanism | |
CN105760956A (en) | Method for predicting power grid reliability based on linear-regression analysis | |
CN113435748A (en) | Dot state determination method and apparatus, electronic device and storage medium | |
CN117131353B (en) | Method and device for determining out-of-tolerance electric energy meter, electronic equipment and storage medium | |
CN109858669A (en) | A kind of arrearage based on Information Entropy stops telegram in reply and complains tendency prediction technique | |
CN112825164B (en) | Predictive data anomaly detection method, device, equipment and storage medium | |
TWM553838U (en) | Analyzing system for automated teller machine disposition | |
CN116777674A (en) | Power distribution network data processing method and device, electronic equipment and storage medium | |
CN117856231A (en) | Method for formulating line loss rate threshold of distribution transformer area |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20171124 |
|
WD01 | Invention patent application deemed withdrawn after publication |