CN115640176A - Computer equipment performance analysis method, device, terminal and medium - Google Patents
Computer equipment performance analysis method, device, terminal and medium Download PDFInfo
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Abstract
The invention relates to the field of computer equipment performance analysis, in particular to a method, a device, a terminal and a medium for analyzing the performance of computer equipment, which are used for maintaining the address of each evaluation organization website to a website document and storing the website document into a database; configuring retrieval keywords, circularly reading the addresses of all evaluation organization websites in website documents, and reading equipment information from all evaluation organization websites according to the retrieval keywords; and calculating the equipment test result of each manufacturer and the equipment test result of each platform according to the equipment information, and displaying the calculated equipment test result of each manufacturer and the calculated equipment test result of each platform. The invention maintains the website addresses of all evaluation organizations, realizes cross-platform retrieval based on the website addresses of all evaluation organizations, performs unified statistical analysis on the test results of all evaluation organizations, outputs the equipment performance comparison of different manufacturers and different platforms, and accurately positions the equipment performance difference of the manufacturers and the platforms.
Description
Technical Field
The invention relates to the field of computer equipment performance analysis, in particular to a computer equipment performance analysis method, a computer equipment performance analysis device, a computer equipment performance analysis terminal and a computer equipment performance analysis medium.
Background
With the development of new technologies such as cloud computing and big data, the requirements on various performances of computer equipment are higher and higher, and how to efficiently evaluate the performances of the computer equipment has a great significance for server manufacturers and server users. In the existing testing method for various types of computer equipment, manufacturers or users can issue test results to an evaluation organization, and the evaluation organization can disclose the test results after the evaluation organization passes the examination and verification. However, data before each evaluation organization are not intercommunicated, and performance differences of different manufacturers and different platform devices cannot be accurately positioned and analyzed.
Disclosure of Invention
In order to solve the above problems, the present invention provides a method, an apparatus, a terminal and a medium for analyzing the performance of computer equipment, which implement cross-platform search, perform uniform statistical analysis on the test results of each evaluation organization, output the equipment performance comparison between different manufacturers and different platforms, and precisely locate the equipment performance difference between the manufacturers and the platforms.
In a first aspect, a technical solution of the present invention provides a method for analyzing performance of computer equipment, including the following steps:
maintaining the address of each evaluation organization website to a website document, and storing the website document into a database;
configuring retrieval keywords, circularly reading the addresses of all evaluation organization websites in website documents, and reading equipment information from all evaluation organization websites according to the retrieval keywords; wherein, the search key is the device type, and the read device information includes: equipment manufacturers, platforms, models, testing tools of each model and testing scores of each testing tool;
calculating equipment test scores of all manufacturers and equipment test scores of all platforms according to the equipment information;
and displaying the calculated equipment test results of each manufacturer and the equipment test results of each platform.
Further, calculating the device test results of each manufacturer and the device test results of each platform according to the device information, specifically including:
selecting a first model of equipment, and calculating the average test result of various test tools by using an arithmetic mean value method;
calculating the average performance score of the first model by using a weighted average value method based on the average test scores of various test tools;
repeating the steps, and sequentially calculating the average performance scores of various types of equipment;
taking a manufacturer as a unit, reading the average performance scores of all models of the manufacturer, and obtaining and displaying the equipment test scores of the manufacturer;
and taking the platform as a unit, reading the average performance scores of all models of the platform, and acquiring and displaying the equipment test results of the platform.
Further, acquiring the equipment test result of the manufacturer specifically includes:
selecting the highest average performance score from the average performance scores of all models of manufacturers as the equipment test result of the manufacturers;
the method for acquiring the equipment test result of the platform specifically comprises the following steps:
and selecting the highest average performance score from the average performance scores of all models of the platform as the equipment test performance of the platform.
Further, the method comprises the following steps:
sorting equipment test scores of manufacturers from big to small and then displaying the equipment test scores;
and sequencing the equipment test results of the platform from big to small and then displaying the results.
Further, the method comprises the following steps:
and periodically calculating the equipment test results of the manufacturer and the equipment test results of the platform, and updating the sequencing display.
Further, the method comprises the following steps:
configuring a first table, a second table and a third table in a database;
writing the equipment information read from each evaluation organization website into a first table;
updating the calculated average performance scores of various models of the equipment to a first table;
correspondingly, taking the manufacturer as a unit, reading the average performance scores of all models of the manufacturer from the first table, obtaining the equipment test scores of the manufacturer and writing the equipment test scores into the second table; and taking the platform as a unit, reading the average performance scores of all models of the platform, acquiring the equipment test score of the platform and writing the equipment test score into a third table.
Further, the equipment test results of the manufacturers are displayed after being sorted from big to small, and the method specifically comprises the following steps:
reading the manufacturer of the M1 before the test result of the equipment from the second table for displaying;
the manufacturer of M2 before the device test results is read from the third table for display.
In a second aspect, the present invention provides a computer device performance analysis apparatus, including,
a data retrieval module: circularly reading each evaluation organization website address in the website document, and reading equipment information from each evaluation organization website according to the search keywords; wherein, the search key is the device type, and the read device information includes: equipment manufacturers, platforms, models, testing tools of each model and testing scores of each testing tool;
a data processing module: calculating equipment test scores of all manufacturers and equipment test scores of all platforms according to the equipment information;
the data display module: and displaying the calculated equipment test results of each manufacturer and the equipment test results of each platform.
In a third aspect, a technical solution of the present invention provides a terminal, including:
a memory for storing a computer device performance analysis program;
a processor for implementing the steps of the computer device performance analysis method according to any one of the above when executing the computer device performance analysis program.
In a fourth aspect, an aspect of the present invention provides a computer-readable storage medium, where a computer device performance analysis program is stored, and when the computer device performance analysis program is executed by a processor, the computer device performance analysis program implements the steps of the computer device performance analysis method according to any one of the above items.
Compared with the prior art, the performance analysis method, the performance analysis device, the performance analysis terminal and the performance analysis medium for the computer equipment have the following beneficial effects: maintaining the website addresses of all evaluation organizations, realizing cross-platform retrieval based on the website addresses of all evaluation organizations, performing unified statistical analysis on the test results of all evaluation organizations, outputting equipment performance comparison of different manufacturers and different platforms, and accurately positioning equipment performance difference of the manufacturers and the platforms.
Drawings
For a clearer explanation of the embodiments or technical solutions of the prior art of the present application, the drawings needed for the description of the embodiments or prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, 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 a method for analyzing performance of a computer device according to an embodiment of the present invention.
Fig. 2 is a schematic flowchart and architecture diagram of a method for analyzing performance of a computer device according to an embodiment of the present invention.
Fig. 3 is a schematic block diagram of a structure of a computer device performance analysis apparatus according to an embodiment of the present invention.
Fig. 4 is a schematic structural diagram of a terminal according to an embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the disclosure, the following detailed description will be given with reference to the accompanying drawings. It should be apparent that the described embodiments are only a few embodiments of the present application, and not all embodiments. 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 application.
Fig. 1 is a schematic flowchart of a method for analyzing performance of a computer device according to an embodiment of the present invention, where as shown in fig. 1, the method includes the following steps.
S1, maintaining the address of each evaluation organization website to a website document, and storing the website document into a database.
The website documents can be documents in txt format, website addresses of all evaluation organizations are written into the website documents, one evaluation organization is used for organizing one line, a plurality of lines are written through line feed characters, and then circular retrieval is carried out from each evaluation organization website.
And the website documents are maintained to the database, and the front end calls the website documents from the database to search.
S2, configuring retrieval keywords, circularly reading the addresses of all the evaluation organization websites in the website documents, and reading the equipment information from all the evaluation organization websites according to the retrieval keywords.
The retrieval keywords are device types, and the device types comprise a CPU, an internal memory, a network card, storage and the like. The user inputs the type of the equipment according to the analysis requirement, for example, if the user wants to analyze the performance of the CPU, the CPU is input on a man-machine interaction interface, then a program reads an address of an evaluation organization website, the evaluation organization website is accessed, and test information of all CPUs under the evaluation organization, including manufacturers, platforms, models, test tools of each model and test scores of each test tool, of the CPU is obtained from the evaluation organization website.
Of course, the user may also search for the search keyword by using the device manufacturer, platform, and model, and input multiple sets of search keywords to obtain corresponding device information.
And circularly reading all the evaluation organization website addresses in the website document to acquire all the test information of the equipment to be analyzed.
It should be noted that the platform in this embodiment refers to an architecture where the device is located, such as an ARM architecture, an X86 architecture, and the like.
And S3, calculating the equipment test results of each manufacturer and the equipment test results of each platform according to the equipment information.
And the equipment information acquired in the last step comprises all test results of the equipment, and all the test results are processed and analyzed to acquire the equipment test result of each manufacturer and the equipment test result of each platform.
And S4, displaying the calculated equipment test results of each manufacturer and the equipment test results of each platform.
And finally, displaying the calculated equipment test results of the manufacturer and the equipment test results of the platform to an interface for a user to check and compare.
The computer equipment performance analysis method of the embodiment of the invention maintains the website addresses of all the evaluation organizations, realizes cross-platform retrieval based on the website addresses of the evaluation organizations, performs unified statistical analysis on the test results of the evaluation organizations, outputs equipment performance comparison of different manufacturers and different platforms, and accurately positions the equipment performance difference of the manufacturers and the platforms.
In some embodiments, for convenience of management and data processing, the device information obtained in step S2 is stored in a database in a table form, a first table is maintained in the database, and the device information is written into the first table, where table 1 below is an example of a first table format.
Table 1: first Table Format example
The front end calls the first table from the database, acquires the equipment information from the first table, and calculates the equipment test results of each manufacturer and the equipment test results of each platform.
S301, selecting a first model of equipment, and calculating the average test result of various test tools by using an arithmetic mean value method.
The equipment generally has a plurality of models, the average performance score of each model is calculated by taking the model as a unit, each model is provided with a plurality of corresponding testing tools, each testing tool has at least one testing result, and the average testing result of each testing tool is calculated by using an arithmetic mean value method.
The first model, i.e., model 1, is selected to correspond to the average test score A1= (a 11+ a12+ a 13)/3 for tool 1, and the average test score B1= (B11 + B12)/2 for tool 2. Of course, there may be other multiple testing tools, and each testing tool is subjected to arithmetic average calculation to obtain an average testing result corresponding to each testing tool.
And S302, calculating the average performance score of the first model by using a weighted average value method based on the average test results of various test tools.
The average test result of each test tool is obtained through calculation in step S301, and then the average test result of each test tool is subjected to weighted average calculation, and the average test result of each test tool corresponds to a respective weight, so as to obtain an average performance score of the first model.
For example, model 1 has an average performance score = (n 1 × A1+ n2 × B1)/2. Wherein n1 and n2 are weights.
And S303, repeating the steps S301 and S302, and sequentially calculating the average performance scores of various models of equipment.
Steps S301 and S302 are performed for all models, and an average performance score of each model is obtained.
And S304, taking the manufacturer as a unit, reading the average performance scores of all models of the manufacturer, and obtaining and displaying the equipment test results of the manufacturer.
Through the three steps, average performance scores of all models of equipment are obtained, the results are screened by taking manufacturers as units, the average performance scores of all models of each manufacturer are found out, for example, the manufacturer 1 has the model 1, the model 3, the model 5 and the like, and the average performance scores of all models of manufacturers are analyzed to obtain the equipment test results of the manufacturers and are displayed on an interface.
In practical application, the user is more related to the highest performance of the manufacturer, so that in specific implementation, the highest average performance score is selected from the average performance scores of all models of the manufacturer to serve as the equipment test result of the manufacturer. For example, vendor 1 has model 1, model 3, and model 5, where the average performance score of model 3 is the highest, then the average performance score of model 3 is the device test score of vendor 1.
S305, taking the platform as a unit, reading the average performance scores of all models of the platform, and acquiring and displaying the equipment test scores of the platform.
And finding out the average performance scores of all models of each platform similar to the equipment test scores of manufacturers, and selecting the highest average performance score from the average performance scores of all models of the platforms as the equipment test score of the platform.
In some specific implementations, for convenience of comparison, the equipment test results of manufacturers are ranked from large to small and then displayed, and the equipment test results of platforms are ranked from large to small and then displayed.
In addition, in order to facilitate data screening and processing, the calculated average performance scores of various models of the equipment are updated to the first table, correspondingly, the average performance scores of all models of manufacturers are read from the first table by taking the manufacturers as units, and the obtained equipment test scores of the manufacturers are written into the second table; and taking the platform as a unit, reading the average performance scores of all models of the platform, acquiring the equipment test score of the platform and writing the equipment test score into a third table.
Wherein the second table and the third table are also maintained in the database.
Considering that the user is concerned about the manufacturers and platforms with the top performance, when performing the display, the manufacturer reading the device test result M1 from the second table performs the display, and the manufacturer reading the device test result M2 from the third table performs the display. For example, the top 10 ranked vendors are selected and exposed.
In some embodiments, the vendor's device test achievements and the platform's device test achievements are periodically computed and the ranking presentation is updated. Namely, the list is refreshed, so that the user can know the latest manufacturer and platform ranking.
To further understand the present invention, a specific embodiment is provided below to further explain the present invention in detail, and fig. 2 is a schematic flow architecture diagram of the specific embodiment, which includes the following processes.
(1) Data retrieval
Public data (such as evaluation organizations) is retrieved and written into the database according to the data key.
The logic is as follows:
A. and maintaining the web site.txt in advance, writing the address of the evaluation organization website into a web site.txt document, and writing a plurality of strips through a line feed character. Logic B is then executed.
B. Txt will read the address of each row in a loop when logic B is executed. Such as the keywords required to evaluate the processor: processor manufacturer, platform, model. And (5) retrieving data on the website of the website at web site by using a crawler tool in a circulating way. The processor vendor name, platform, result release time, and data source are written into the database table cpu _ result.
C. And after the cyclic retrieval is finished, waking up the data processing program.
(2) Data processing
The data processing is to analyze the data in the CPU _ result table, and will realize the following functions (taking the processor CPU as an example):
A. the performance of the processor is as follows: take a certain processor model as an example: the Intel Xeon Platinum 8380 finds out the relevant test results from the cpu _ result table according to the keywords "Intel Xeon Platinum 8380" and "test tool", as shown in the following Table 2:
table 2: intel Xeon Platinum 8380 model CPU test information
1) The average test performance of the test tools such as CINT2017rate, linpack and the like is calculated by using an arithmetic mean value method, and CINT2017rate =500 and Linpack =4000 are obtained.
2) The average performance score for Intel Xeon Platinum 8380 was calculated using a weighted average method:
carry-in a value of
The weights n1, n2 and n3 are calculated according to the score proportion of each test tool and are fixed values.
3) And writing the calculated value into a cpu _ result table.
B. Ranking the achievements: and searching the cpu _ result table, taking the type of the processor as a query condition, ranking the searched data according to the classification of the testing tools and the size of the score value, and writing the ranked data into the cpu _ result table.
C. And (4) classifying according to the processors, repeating the action A to calculate the average scores of all manufacturers and platforms, and writing the average scores into a cpu _ result _ vector table and a cpu _ result _ top table respectively.
(3) Data presentation
And the display page can read the information in the database and display the performance score of the processor in a chart form.
A. And displaying the performance scores of the processors to a foreground page according to the numerical values obtained by data processing, and classifying by using manufacturers and platforms.
B. Updating score ranking and list: the cpu _ result _ top table is read, and the scores of the top 10 ranking are placed on the page in the form of the table. .
C. The manufacturer periodically releases the situation: reading the cpu _ result _ vector table, using the manufacturer name as a key word, showing the result release condition of each manufacturer in each period, and drawing a line drawing.
The above embodiment of the method for analyzing the performance of the computer device is described in detail, and based on the method for analyzing the performance of the computer device described in the above embodiment, the embodiment of the present invention further provides a device for analyzing the performance of the computer device corresponding to the method.
Fig. 3 is a schematic block diagram of a structure of a computer device performance analysis apparatus according to an embodiment of the present invention, and as shown in fig. 3, the apparatus includes: a data retrieval module 101, a data processing module 102 and a data presentation module 103.
The data retrieval module 101: circularly reading the addresses of all evaluation organization websites in the website documents, and reading equipment information from all the evaluation organization websites according to the retrieval keywords; wherein, the search key is the device type, and the read device information includes: equipment manufacturer, platform, model, test tool of each model, and test performance of each test tool.
The data processing module 102: and calculating the equipment test results of each manufacturer and the equipment test results of each platform according to the equipment information.
The data presentation module 103: and displaying the calculated equipment test results of each manufacturer and the equipment test results of each platform.
The computer device performance analysis apparatus of this embodiment is used to implement the foregoing computer device performance analysis method, and therefore the specific implementation of this apparatus can be seen in the foregoing embodiment section of the computer device performance analysis method, and therefore, the specific implementation thereof may refer to the description of the corresponding respective section embodiments, and will not be further described herein.
In addition, since the computer device performance analysis apparatus of this embodiment is used to implement the computer device performance analysis method, the role of the computer device performance analysis apparatus corresponds to that of the computer device performance analysis method, and is not described herein again.
Fig. 4 is a schematic structural diagram of a terminal device 400 according to an embodiment of the present invention, including: a processor 410, a memory 420, and a communication unit 430. The processor 410, when executing the computer device performance analysis program stored in the memory 420, performs the following steps:
s1, maintaining the address of each evaluation organization website to a website document, and storing the website document into a database;
s2, configuring retrieval keywords, circularly reading the addresses of all evaluation organization websites in website documents, and reading equipment information from all evaluation organization websites according to the retrieval keywords; wherein, the search key is the device type, and the read device information includes: equipment manufacturers, platforms, models, testing tools of each model and testing scores of each testing tool;
s3, calculating equipment test results of all manufacturers and equipment test results of all platforms according to the equipment information;
and S4, displaying the calculated equipment test results of each manufacturer and the equipment test results of each platform.
The invention maintains the website addresses of all evaluation organizations, realizes cross-platform retrieval based on the website addresses of all evaluation organizations, performs unified statistical analysis on the test results of all evaluation organizations, outputs the equipment performance comparison of different manufacturers and different platforms, and accurately positions the equipment performance difference of the manufacturers and the platforms.
The terminal apparatus 400 includes a processor 410, a memory 420, and a communication unit 430. The components communicate via one or more buses, and those skilled in the art will appreciate that the architecture of the servers shown in the figures is not intended to be limiting, and may be a bus architecture, a star architecture, a combination of more or less components than those shown, or a different arrangement of components.
The memory 420 may be used for storing instructions executed by the processor 410, and the memory 420 may be implemented by any type of volatile or non-volatile storage terminal or combination thereof, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk. The executable instructions in memory 420, when executed by processor 410, enable terminal 400 to perform some or all of the steps in the method embodiments described below.
The processor 410 is a control center of the storage terminal, connects various parts of the entire electronic terminal using various interfaces and lines, and performs various functions of the electronic terminal and/or processes data by operating or executing software programs and/or modules stored in the memory 420 and calling data stored in the memory. The processor may be composed of an Integrated Circuit (IC), for example, a single packaged IC, or a plurality of packaged ICs connected with the same or different functions. For example, processor 410 may include only a Central Processing Unit (CPU). In the embodiment of the present invention, the CPU may be a single operation core, or may include multiple operation cores.
A communication unit 430, configured to establish a communication channel so that the storage terminal can communicate with other terminals. And receiving user data sent by other terminals or sending the user data to other terminals.
The present invention also provides a computer storage medium, wherein the storage medium may be a magnetic disk, an optical disk, a read-only memory (ROM) or a Random Access Memory (RAM).
The computer storage medium stores a computer device performance analysis program that, when executed by a processor, performs the steps of:
s1, maintaining the address of each evaluation organization website to a website document, and storing the website document into a database;
s2, configuring retrieval keywords, circularly reading the addresses of all evaluation organization websites in website documents, and reading equipment information from all evaluation organization websites according to the retrieval keywords; wherein, the search key is the device type, and the read device information includes: equipment manufacturers, platforms, models, testing tools of each model and testing scores of each testing tool;
s3, calculating equipment test results of each manufacturer and equipment test results of each platform according to the equipment information;
and S4, displaying the calculated equipment test results of each manufacturer and the equipment test results of each platform.
The invention maintains the website addresses of all evaluation organizations, realizes cross-platform retrieval based on the website addresses of all evaluation organizations, performs unified statistical analysis on the test results of all evaluation organizations, outputs the equipment performance comparison of different manufacturers and different platforms, and accurately positions the equipment performance difference of the manufacturers and the platforms.
Those skilled in the art will readily appreciate that the techniques of the embodiments of the present invention may be implemented as software plus a required general purpose hardware platform. Based on such understanding, the technical solutions in the embodiments of the present invention may be embodied in the form of a software product, where the computer software product is stored in a storage medium, 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, and the like, and the storage medium can store program codes, and includes instructions for enabling a computer terminal (which may be a personal computer, a server, or a second terminal, a network terminal, and the like) to perform all or part of the steps of the method in the embodiments of the present invention.
In the several embodiments provided in the present invention, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The above disclosure is only for the preferred embodiments of the present invention, but the present invention is not limited thereto, and any non-inventive changes that can be made by those skilled in the art and several modifications and amendments made without departing from the principle of the present invention shall fall within the protection scope of the present invention.
Claims (10)
1. A computer equipment performance analysis method is characterized by comprising the following steps:
maintaining the address of each evaluation organization website to a website document, and storing the website document into a database;
configuring retrieval keywords, circularly reading the addresses of all evaluation organization websites in website documents, and reading equipment information from all evaluation organization websites according to the retrieval keywords; wherein, the search key is the device type, and the read device information includes: equipment manufacturers, platforms, models, testing tools of each model and testing scores of each testing tool;
calculating equipment test scores of all manufacturers and equipment test scores of all platforms according to the equipment information;
and displaying the calculated equipment test results of each manufacturer and the equipment test results of each platform.
2. The method for analyzing the performance of computer equipment according to claim 1, wherein calculating the equipment test results of each manufacturer and the equipment test results of each platform according to the equipment information specifically comprises:
selecting a first model of equipment, and calculating the average test result of various test tools by using an arithmetic mean value method;
calculating the average performance score of the first model by using a weighted average method based on the average test scores of various test tools;
repeating the steps, and sequentially calculating the average performance scores of various types of equipment;
taking a manufacturer as a unit, reading the average performance scores of all models of the manufacturer, and obtaining and displaying the equipment test scores of the manufacturer;
and taking the platform as a unit, reading the average performance scores of all models of the platform, and acquiring and displaying the equipment test results of the platform.
3. The method for analyzing the performance of computer equipment according to claim 2, wherein obtaining the equipment test results of the manufacturer specifically comprises:
selecting the highest average performance score from the average performance scores of all models of manufacturers as the equipment test result of the manufacturers;
the method for acquiring the equipment test result of the platform specifically comprises the following steps:
and selecting the highest average performance score from the average performance scores of all models of the platform as the equipment test performance of the platform.
4. The method of claim 3, further comprising the steps of:
sorting equipment test scores of manufacturers from big to small and then displaying the equipment test scores;
and sequencing the device testing results of the platform from big to small and then displaying the results.
5. The method of claim 4, further comprising the steps of:
and periodically calculating the equipment test results of the manufacturer and the equipment test results of the platform, and updating the sequencing display.
6. The method of claim 5, further comprising the steps of:
configuring a first table, a second table and a third table in a database;
writing the equipment information read from each evaluation organization website into a first table;
updating the calculated average performance scores of various models of the equipment to a first table;
correspondingly, by taking the manufacturer as a unit, reading the average performance scores of all models of the manufacturer from the first table, obtaining the equipment test score of the manufacturer and writing the equipment test score into the second table; and taking the platform as a unit, reading the average performance scores of all models of the platform, acquiring the equipment test score of the platform and writing the equipment test score into a third table.
7. The method for analyzing the performance of the computer equipment according to claim 6, wherein the equipment test results of manufacturers are displayed after being sorted from large to small, and specifically:
reading the manufacturer of the M1 before the test result of the equipment from the second table for displaying;
the manufacturer of M2 before the device test results is read from the third table for display.
8. A computer equipment performance analysis device is characterized by comprising,
a data retrieval module: circularly reading each evaluation organization website address in the website document, and reading equipment information from each evaluation organization website according to the search keywords; the retrieval keyword is a device type, and the read device information includes: equipment manufacturers, platforms, models, testing tools of each model and testing scores of each testing tool;
a data processing module: calculating equipment test scores of all manufacturers and equipment test scores of all platforms according to the equipment information;
a data display module: and displaying the calculated equipment test results of each manufacturer and the equipment test results of each platform.
9. A terminal, comprising:
a memory for storing a computer device performance analysis program;
a processor for implementing the steps of the computer device performance analysis method according to any one of claims 1 to 7 when executing the computer device performance analysis program.
10. A computer-readable storage medium, having a computer device performance analysis program stored thereon, which, when executed by a processor, performs the steps of the computer device performance analysis method of any one of claims 1-7.
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| CN202211261425.9A CN115640176A (en) | 2022-10-14 | 2022-10-14 | Computer equipment performance analysis method, device, terminal and medium |
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