CN103530528A - Evaluation method and device - Google Patents
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- CN103530528A CN103530528A CN201310526398.8A CN201310526398A CN103530528A CN 103530528 A CN103530528 A CN 103530528A CN 201310526398 A CN201310526398 A CN 201310526398A CN 103530528 A CN103530528 A CN 103530528A
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- 238000011156 evaluation Methods 0.000 title claims abstract description 62
- 238000005315 distribution function Methods 0.000 claims abstract description 60
- 230000036541 health Effects 0.000 claims abstract description 35
- 238000004364 calculation method Methods 0.000 claims description 14
- 238000010606 normalization Methods 0.000 claims description 13
- 230000001186 cumulative effect Effects 0.000 claims description 11
- 238000000034 method Methods 0.000 claims description 11
- 238000012545 processing Methods 0.000 claims description 2
- 230000003862 health status Effects 0.000 description 4
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Abstract
An embodiment of the invention provides an evaluation method and device. According to the evaluation method, data information of an object is obtained, the obtained data information is calculated according to a distribution function, an intuitive evaluation result of the object is obtained, and accordingly the health state of the object can be presented intuitively and the ease of use can be improved.
Description
Technical Field
The present invention relates to information processing technologies, and in particular, to an evaluation method and an evaluation device.
Background
In the development of modern technology, people are increasingly concerned about the "health assessment" of devices, i.e., the health status of devices, such as the health status of computers, networks, or computing devices.
In the prior art, a network manager can comprehensively analyze collected alarm data and performance data through software to obtain health degree evaluation of equipment. For example, using the Oncommand Unified Manager software, a health assessment is performed according to the examination item of health/At Risk/Have Inc., and the health assessment of the device is displayed by a histogram, wherein the health assessment includes Availability/Capacity/Protection three dimensions.
However, the display of the health assessment of the device is displayed according to each dimension, and each dimension corresponds to histograms of a plurality of examination items, for example, the health comprises a health histogram and an At Risk histogram, and each histogram displays the number of the examination items, so that the health status of the device is not visually presented to the user, and the usability is not high.
Disclosure of Invention
The embodiment of the invention provides an evaluation method and device, which are used for visually presenting the health state of equipment to a user.
A first aspect provides an evaluation method comprising: acquiring data information of an object, wherein the data information is a parameter for evaluating and calculating the object and comprises a data level;
and calculating the acquired data information according to a distribution function to obtain an evaluation result of the health degree of the object, wherein the distribution function is selected according to the characteristics of the data information.
In a first possible implementation manner, after the calculating the acquired data information according to the distribution function and obtaining the evaluation result of the health degree of the subject, the method further includes:
and presenting the evaluation result in a normalization mode.
With reference to the first aspect or the first possible implementation manner of the first aspect, in a second possible implementation manner, the performing evaluation calculation on the acquired data information according to a distribution function to obtain an evaluation result of the object includes:
adding the weight values corresponding to the data levels in the data information to obtain a data weight sum;
and calculating the data weight sum according to the distribution function to obtain the evaluation result of the object.
With reference to any one of the first aspect to the second possible implementation manner of the first aspect, in a third possible implementation manner, the distribution function is a cumulative distribution function CDF.
With reference to any one of the second possible implementation manners of the first aspect, in a fourth possible implementation manner, the weight value corresponding to each data level is an arithmetic difference or an arithmetic series.
A second aspect provides an evaluation apparatus comprising:
the system comprises an acquisition module, a storage module and a processing module, wherein the acquisition module is used for acquiring data information of an object, the data information is a parameter for evaluating and calculating the object, and the data information comprises a data level;
and the calculation module is used for calculating the acquired data information according to a distribution function to obtain an evaluation result of the health degree of the object, wherein the distribution function is selected according to the characteristics of the data information.
In a first possible implementation manner, the method further includes: a normalization module;
and the normalization module is used for presenting the evaluation result in a normalization mode.
With reference to the second aspect or the first possible implementation manner of the second aspect, in a second possible implementation manner, the computing module
Evaluating and calculating the obtained data information according to a distribution function to obtain the pair, specifically, adding weight values corresponding to the data levels in the data information to obtain a data weight sum; and calculating the data weight sum according to the distribution function to obtain the evaluation result of the object.
With reference to any one of the second aspect to the second possible implementation manner of the second aspect, in a third possible implementation manner, the distribution function is an accumulative distribution function CDF.
With reference to any one of the second possible implementation manner of the second aspect, in a fourth possible implementation manner, the weight value corresponding to each data level is an arithmetic difference or an arithmetic series.
According to the technical scheme, the data information of the object is obtained, and then the obtained data information is calculated according to the distribution function to obtain the visual evaluation result of the object, so that the health state of the object can be visually presented, and the usability is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a schematic flow chart of an evaluation method according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of an evaluation method according to another embodiment of the present invention;
FIG. 3 is a schematic structural diagram of an evaluation apparatus according to an embodiment of the present invention;
FIG. 4 is a schematic structural diagram of an evaluation apparatus according to another embodiment of the present invention;
fig. 5 is a schematic structural diagram of an estimator according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Fig. 1 is a schematic flow chart of an evaluation method according to an embodiment of the present invention, and as shown in fig. 1, the information operation method according to the embodiment may include:
s101, acquiring data information of the object.
In this embodiment, the data information is a parameter for performing evaluation calculation on an object, where the data information includes a data level, and the object may be a device or application software.
For example, the data information may be alarm data and/or performance data of the device or the application in an operating state, for example, a firmware state and performance data of the hardware device; configuration information of the application, log data, etc. Wherein the data information includes a data level, e.g., urgent, severe, general, or reminder. It should be noted that the division of the data level may be performed by those skilled in the art according to actual situations, and is not limited herein.
And S102, calculating the acquired data information according to the distribution function to obtain the evaluation result of the health degree of the object.
It should be noted that the distribution function is a distribution function selected according to the characteristics of the data information. For example, a distribution function, such as a normal distribution, a poisson distribution, etc., adapted to the health traffic characteristics is selected according to the health traffic characteristics.
For example, when there are a few alarms, it may be considered that the influence on the health degree of the object is small, and the slope of the generated distribution function is small; when the alarm is accumulated to a certain amount, the health degree of the object is reduced more and more quickly, and the slope of the generated distribution function is gradually increased; when a large number of alarms occur, because the evaluation score is large, the influence of the increase of the number of alarms on the health of the object is reduced, and the slope of the generated Distribution Function is gradually reduced, so that a Cumulative Distribution Function (CDF for short) can be selected to calculate the alarm severity score of the object.
In this embodiment, by acquiring data information of an object and then calculating the acquired data information according to a distribution function, an intuitive evaluation result of the object is obtained, so that the health state of the object can be intuitively presented, and the usability is improved.
On the basis of the above embodiment, after S102, the method may further include:
and presenting the evaluation result in a normalization mode.
Specifically, the distribution function is mapped to health degree evaluation intervals, such as [0,100], [0,10], [0,5], satisfying different user requirements in a normalization mode. So that the evaluation result can be presented intuitively and easily.
Fig. 2 is a schematic flow chart of an evaluation method according to another embodiment of the present invention, and as shown in fig. 2, the information operation method according to this embodiment may include:
s201, acquiring data information of the object.
In this embodiment, the data information is a parameter for performing evaluation calculation on an object, where the data information includes a data level, and the object may be a device or application software.
S202, adding the weight values corresponding to the data levels in the data information to obtain data weight sum.
In particular, can be formulatedObtaining a data weight sum S, wherein anAnd m is the weight value corresponding to the data level, and the number of the same data level.
For example, the data information of the acquired object is alarm information, where the alarm level is 1 emergency, the alarm level is 2 serious, the alarm level is 4 general, the alarm level is 3 prompt, the alarm level is 10 emergency, the alarm level is 5 serious, the alarm level is 2 general, and the alarm level is 1 prompt, and the sum of the data weights is 1 + 10+ 2+ 5+4 + 2+3 + 1= 31.
It should be noted that, a person skilled in the art may set the weight values corresponding to different data levels according to actual situations, for example, the weight values of different data levels may be an arithmetic progression or an geometric progression, and the present invention is not limited herein.
And S203, calculating the weight sum of the data according to the distribution function to obtain the visual evaluation result of the object.
For example, according to cumulative distribution functionWhere μ is the mean, σ is the standard deviation, and s is the sum of the data weights.
Further, on the basis of the above embodiment, after calculation by the cumulative distribution function, the health degree of the subject may be mapped to [0,100] in a manner that people conventionally understand the health degree]Interval, that is, the result after calculation by the cumulative distribution function is expanded by 100 times, that is, the result after calculation by the cumulative distribution function is 100 times, and then, the result is normalizedAnd obtaining the visual evaluation result of the health degree of the subject.
In this embodiment, after the obtained data information is calculated by the cumulative distribution function CDF, the health status of the subject can be visually presented, and the usability is improved.
Fig. 3 is a schematic flow chart of an evaluation apparatus according to an embodiment of the present invention, and as shown in fig. 3, an information operation apparatus according to the embodiment includes: an acquisition module 301 and a calculation module 302. Wherein,
an obtaining module 301, configured to obtain data information of an object, where the data information is a parameter for performing evaluation calculation on the object, and the data information includes a data level;
a calculating module 302, configured to calculate the obtained data information according to a distribution function, so as to obtain an evaluation result of the health degree of the object, where the distribution function is a distribution function selected according to characteristics of the data information.
In this embodiment, by acquiring data information of an object and then calculating the acquired data information according to a distribution function, an intuitive evaluation result of the object is obtained, so that the health state of the object can be intuitively presented, and the usability is improved.
Fig. 4 is a schematic flow chart of an evaluation apparatus according to an embodiment of the present invention, and as shown in fig. 4, on the basis of the foregoing embodiment, the apparatus may further include: a normalization module 303; the normalization module 303 is configured to present the evaluation result in a normalization manner.
On the basis of the foregoing embodiment, the calculating module 302 is specifically configured to perform evaluation calculation on the obtained data information according to a distribution function, to obtain the pair, and specifically to add weight values corresponding to the data levels in the data information to obtain a data weight sum; and calculating the data weight sum according to the distribution function to obtain the evaluation result of the object.
Further, on the basis of the above embodiment, the distribution function is a cumulative distribution function CDF.
Further, on the basis of the above embodiment, the weight value corresponding to each data level is an arithmetic difference or an arithmetic ratio series.
In the embodiment, the health state of the object is visually presented, and the usability is improved.
Fig. 5 is a schematic flowchart of an evaluator according to an embodiment of the present invention, and as shown in fig. 5, an information operating apparatus according to the embodiment includes: a receiver 501 and a processor 502. Wherein,
a receiver 501, configured to obtain data information of an object, where the data information is a parameter for performing evaluation calculation on the object, and the data information includes a data level;
the processor 502 is configured to calculate the obtained data information according to a distribution function, so as to obtain an evaluation result of the health degree of the subject, where the distribution function is a distribution function selected according to characteristics of the data information.
In this embodiment, by acquiring data information of an object and then calculating the acquired data information according to a distribution function, an intuitive evaluation result of the object is obtained, so that the health state of the object can be intuitively presented, and the usability is improved.
On the basis of the above embodiment, the apparatus may further include: the processor 502 is configured to present the evaluation result in a normalized manner.
On the basis of the foregoing embodiment, the processor 502 is specifically configured to perform evaluation calculation on the obtained data information according to a distribution function, to obtain the pair, and specifically to add weight values corresponding to the data levels in the data information to obtain a data weight sum; and calculating the data weight sum according to the distribution function to obtain the evaluation result of the object.
Further, on the basis of the above embodiment, the distribution function is a cumulative distribution function CDF.
Further, on the basis of the above embodiment, the weight value corresponding to each data level is an arithmetic difference or an arithmetic ratio series.
In the embodiment, the health state of the object is visually presented, and the usability is improved.
The integrated unit implemented in the form of a software functional unit may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute some steps of the methods according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. An evaluation method, comprising:
acquiring data information of an object, wherein the data information is a parameter for evaluating and calculating the object and comprises a data level;
and calculating the acquired data information according to a distribution function to obtain an evaluation result of the health degree of the object, wherein the distribution function is selected according to the characteristics of the data information.
2. The method according to claim 1, wherein after calculating the acquired data information according to the distribution function and obtaining the evaluation result of the health of the subject, the method further comprises:
and presenting the evaluation result in a normalization mode.
3. The method according to claim 1 or 2, wherein the performing evaluation calculation on the acquired data information according to a distribution function to obtain an evaluation result of the object comprises:
adding the weight values corresponding to the data levels in the data information to obtain a data weight sum;
and calculating the data weight sum according to the distribution function to obtain the evaluation result of the object.
4. A method according to any of claims 1-3, wherein the distribution function is a cumulative distribution function, CDF.
5. The method of claim 3, wherein the weight value corresponding to each data level is an arithmetic or geometric progression.
6. An evaluation device, comprising:
the system comprises an acquisition module, a storage module and a processing module, wherein the acquisition module is used for acquiring data information of an object, the data information is a parameter for evaluating and calculating the object, and the data information comprises a data level;
and the calculation module is used for calculating the acquired data information according to a distribution function to obtain an evaluation result of the health degree of the object, wherein the distribution function is selected according to the characteristics of the data information.
7. The apparatus of claim 6, further comprising: a normalization module;
and the normalization module is used for presenting the evaluation result in a normalization mode.
8. The apparatus of claim 6 or 7, wherein the computing module
Evaluating and calculating the obtained data information according to a distribution function to obtain the pair, specifically, adding weight values corresponding to the data levels in the data information to obtain a data weight sum; and calculating the data weight sum according to the distribution function to obtain the evaluation result of the object.
9. The apparatus according to any of claims 6-8, wherein the distribution function is a cumulative distribution function, CDF.
10. The apparatus of claim 8, wherein the weight value corresponding to each data level is an arithmetic or geometric progression.
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106162327A (en) * | 2015-04-10 | 2016-11-23 | 腾讯科技(北京)有限公司 | A kind of video ads method of testing and device |
CN111372271A (en) * | 2018-12-26 | 2020-07-03 | 华为技术有限公司 | Interval division method, related device and computer storage medium |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6704725B1 (en) * | 1999-07-05 | 2004-03-09 | Lg Electronics Inc. | Method of searching multimedia data |
CN1712909A (en) * | 2004-06-24 | 2005-12-28 | 株式会社东芝 | Driving evaluation apparatus and driving evaluation method |
WO2006069600A1 (en) * | 2004-12-28 | 2006-07-06 | Loquendo S.P.A. | Automatic speech recognition system and method |
CN101573073A (en) * | 2006-12-27 | 2009-11-04 | 心脏起搏器股份公司 | Between-patient comparisons for risk stratification |
CN103155836A (en) * | 2011-12-16 | 2013-06-19 | 东北林业大学 | Method for forecasting forest pest occurrence degree |
-
2013
- 2013-10-29 CN CN201310526398.8A patent/CN103530528A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6704725B1 (en) * | 1999-07-05 | 2004-03-09 | Lg Electronics Inc. | Method of searching multimedia data |
CN1712909A (en) * | 2004-06-24 | 2005-12-28 | 株式会社东芝 | Driving evaluation apparatus and driving evaluation method |
WO2006069600A1 (en) * | 2004-12-28 | 2006-07-06 | Loquendo S.P.A. | Automatic speech recognition system and method |
CN101573073A (en) * | 2006-12-27 | 2009-11-04 | 心脏起搏器股份公司 | Between-patient comparisons for risk stratification |
CN103155836A (en) * | 2011-12-16 | 2013-06-19 | 东北林业大学 | Method for forecasting forest pest occurrence degree |
Non-Patent Citations (1)
Title |
---|
彭裕辉,王双喜: "《基于代码审查的综合软件质量评估方法》", 《软件导刊》 * |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106162327A (en) * | 2015-04-10 | 2016-11-23 | 腾讯科技(北京)有限公司 | A kind of video ads method of testing and device |
CN111372271A (en) * | 2018-12-26 | 2020-07-03 | 华为技术有限公司 | Interval division method, related device and computer storage medium |
CN111372271B (en) * | 2018-12-26 | 2021-10-22 | 华为技术有限公司 | Interval division method, related device and computer storage medium |
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Application publication date: 20140122 |