CN110401551B - Internet health degree evaluation method and system based on S1 interface - Google Patents
Internet health degree evaluation method and system based on S1 interface Download PDFInfo
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Abstract
The embodiment of the invention discloses an Internet health degree assessment method and system based on an S1 interface, which can improve the accuracy of Internet health degree assessment. The method comprises the following steps: s1, acquiring data of an S1 interface between a wireless network base station and a core network of a region to be evaluated within a historical period of time, and determining the first numerical value of Internet services with the maximum positive influence on the Internet health degree based on the data; s2, evaluating the user internet surfing perception and the previous first numerical value internet service based on the data to obtain a user internet surfing perception evaluation result and a previous first numerical value internet service evaluation result; and S3, evaluating the Internet health degree by using the user Internet surfing perception evaluation result and the first numerical Internet service evaluation result.
Description
Technical Field
The embodiment of the invention relates to the field of communication, in particular to an Internet health degree assessment method and system based on an S1 interface.
Background
With the rapid development of mobile internet services and the increasing increase of competitive environments, the perception requirement of users on the internet is higher and higher, so that the control of the real quality of the internet is urgent and important for operators.
The existing solutions in the industry are as follows:
1. a method and a system for evaluating the network quality of a mobile Internet: the scheme analyzes from three aspects of user perception, network quality and resource balance, analyzes the user perception and the network quality from three aspects of accessibility, completeness and retentivity, analyzes the resource balance from the aspects of time and region, and effectively evaluates whether the network of the mobile internet is healthy or not through multi-level multi-angle quantitative analysis indexes. However, the user perception evaluation method in the scheme can only reflect the service use experience of the user, the analysis of the whole internet service condition is lacked, and the real quality of the internet service cannot be well mastered.
2. A method and a device for evaluating the health status of a network are disclosed: the scheme divides m different types of network condition parameters of a network to be tested into n network characteristic sets, and calculates a sub-health index corresponding to each network condition parameter, wherein m and n are integers which are more than 1 and n is less than or equal to m; calculating an intermediate health index corresponding to each network characteristic set according to the sub-health index of each network condition parameter and a preset sub-weight coefficient; and calculating and displaying the total health index of the network to be tested according to the n intermediate health indexes and preset n intermediate weight coefficients, wherein the total health index is used for representing the health state of the network to be tested. The scheme only carries out related algorithm evaluation on the characteristic parameters of the network, cannot evaluate each node in the network, and has little help on the evaluation of the health condition of the network element.
3. The network health degree test method and system: the scheme collects a plurality of characteristic values of the network; respectively setting preset health degrees for the characteristic combinations of the characteristic values; calculating the maximum entropy value of each feature combination based on the maximum entropy principle; and taking the preset health degree of the corresponding characteristic combination as the health degree of the network. According to the scheme, the current network tidying operation state is obtained according to the current network operation characteristics by collecting the previous network state and applying the maximum entropy principle, and is finally displayed in the form of the health degree, so that the network health degree is evaluated, the subjectivity and inaccuracy of artificial evaluation are overcome, and the difficulty that the artificial evaluation is difficult under the complex network condition is solved. However, the health degree of the network is mainly evaluated according to the characteristic value of the network, data of a user plane is not involved, perception of the user on the internet cannot be evaluated, accuracy of evaluation is difficult to grasp, and judgment of the health degree of the network is affected.
In summary, in the current method for evaluating the health degree of the network in the industry, the health degree of the internet is usually evaluated by combining the characteristics of the network, and the real data of the internet service is not combined, which cannot reflect the real quality of the internet service, so that the monitoring result is deviated from the actual quality, and the evaluation effect of the health degree of the internet is affected.
Disclosure of Invention
Aiming at the defects and shortcomings of the prior art, the embodiment of the invention provides an Internet health degree evaluation method and system based on an S1 interface.
On one hand, the embodiment of the invention provides an Internet health degree assessment method based on an S1 interface, which comprises the following steps:
s1, obtaining data of an S1 interface between a wireless network base station and a core network of a region to be evaluated within a historical period of time, and determining a first numerical value of Internet services with the maximum positive influence on Internet health degree based on the data, wherein the data comprises user plane data and signaling plane data;
s2, evaluating the user internet surfing perception and the previous first numerical value internet service based on the data to obtain a user internet surfing perception evaluation result and a previous first numerical value internet service evaluation result;
and S3, evaluating the Internet health degree by using the user Internet surfing perception evaluation result and the first numerical Internet service evaluation result.
On the other hand, an embodiment of the present invention provides an internet health assessment system based on an S1 interface, including:
the system comprises a first determining unit, a second determining unit and a monitoring unit, wherein the first determining unit is used for acquiring data of an S1 interface between a wireless network base station and a core network of a region to be evaluated within a historical period of time, and determining a first number of internet services with the maximum positive influence on internet health degree based on the data, wherein the data comprises user plane data and signaling plane data;
the second determining unit is used for evaluating the user internet surfing perception and the previous first numerical value internet service based on the data to obtain a user internet surfing perception evaluation result and the previous first numerical value internet service evaluation result;
and the evaluation unit is used for evaluating the internet health degree by utilizing the user internet surfing perception evaluation result and the previous first numerical internet service evaluation result.
In a third aspect, an embodiment of the present invention provides an electronic device, including: a processor, a memory, a bus, and a computer program stored on the memory and executable on the processor;
the processor and the memory complete mutual communication through the bus;
the processor, when executing the computer program, implements the method described above.
In a fourth aspect, an embodiment of the present invention provides a non-transitory computer-readable storage medium, on which a computer program is stored, and the computer program, when executed by a processor, implements the above method.
According to the Internet health assessment method and system based on the S1 interface, data of the S1 interface are used, the first numerical Internet service with the largest positive influence degree on the Internet health and the user Internet surfing perception are correspondingly assessed, and the Internet health is assessed based on the assessment result.
Drawings
FIG. 1 is a schematic flow chart illustrating an embodiment of a method for assessing Internet health based on an S1 interface according to the present invention;
FIG. 2 is a schematic structural diagram of an embodiment of an Internet health assessment system based on an S1 interface according to the present invention;
fig. 3 is a schematic physical structure diagram of an electronic device 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 described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some embodiments, but not all embodiments, of the present invention. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments of the present invention without any creative effort belong to the protection scope of the embodiments of the present invention.
Referring to fig. 1, the present embodiment discloses an internet health assessment method based on an S1 interface, including:
s1, acquiring data of an S1 interface between a wireless network base station and a core network of a region to be evaluated within a historical period of time, and determining a first numerical value of Internet services with the maximum positive influence on Internet health degree based on the data, wherein the data comprises user plane data and signaling plane data;
in this embodiment, the history period may refer to a period from a certain time of the history to the current time. The data acquisition adopts a light splitting mode and a Test Access Point (TAP) splitting mode, and the specific method comprises the steps of accessing a light splitter (supporting single-mode fiber Access and multi-mode fiber Access) into an S1 interface (including an S1 interface of a main and standby network element), connecting TAP equipment with the light splitter, splitting the optical fiber by using the light splitter, and converging the split data by using the TAP equipment to obtain data of an S1 interface. The data of each node of the user internet flow is recorded in detail by the data of the S1 interface, including the position information of the user, the accessed service type and the signaling flow, and the data needs to be preprocessed before the subsequent flows, wherein the preprocessing process includes screening, decoding, user association, event concatenation and key field filling. The screening specifically refers to screening http (HyperText Transfer Protocol) Protocol data and dns (Domain Name System) analysis data from the data; the decoding specifically refers to decoding the screened http protocol data and the dns resolution data; the user association specifically refers to associating the data of the same user obtained by decoding; the event concatenation specifically refers to concatenating data of the same user obtained by user association according to a sequence of corresponding generation time; the key field filling specifically refers to filling key fields corresponding to http protocol data and dns resolution data by using data of the same user obtained by event concatenation. Key fields corresponding to http protocol data and dns parsing data are shown in the following table.
It should be noted that the data obtained by the preprocessing may be stored in a distributed file system HDFS of the Hadoop cluster, and the data may be periodically (for example, every 5 minutes) acquired from the HDFS to generate a text file (the file may be named as a file name). For the text file, the Hive tool can be used for periodically mapping the storage path of the text file to the external table of the Hive tool, then the text file is obtained based on the external table at regular time, and the text file is compressed (the compression ratio is about 3:1) into a partial format and then is put into the internal table of the Hive tool. The subsequent processing flow uses the data in the internal table and can use a Hadoop cluster for processing so as to obtain the evaluation result in time granularity of minutes, hours and the like.
S2, evaluating the user internet surfing perception and the previous first numerical value internet service based on the data to obtain a user internet surfing perception evaluation result and a previous first numerical value internet service evaluation result;
and S3, evaluating the Internet health degree by using the user Internet surfing perception evaluation result and the first numerical Internet service evaluation result.
According to the Internet health degree evaluation method based on the S1 interface, data of the S1 interface are used, the first numerical Internet service with the largest positive influence degree on the Internet health degree and the user Internet surfing perception are correspondingly evaluated, and the Internet health degree is evaluated based on the evaluation result.
On the basis of the foregoing method embodiment, the determining, based on the data, a first number of internet services that has the greatest positive impact on internet health may include:
for each internet service in a plurality of internet services to be selected, calculating a Q value corresponding to the internet service by adopting a Q value method based on the data, wherein the calculation formula is Q (Mx/Mz-Sx/Sz), wherein Mx is the response success frequency of the internet service, Mz is the average value of the response success frequencies of the internet service over the entire network, Sx is the response total frequency of the internet service, and Sz is the average value of the response total frequencies of the internet service over the entire network;
and determining the first numerical value of the internet services with the maximum Q value in the plurality of internet services to be selected as the first numerical value of the internet services with the maximum positive influence on the internet health degree.
In this embodiment, it can be understood that the Q value corresponding to the internet service calculated by using the Q value method may display the degree of influence of the internet service index on the network health degree, and the larger the Q value is, the larger the influence on the network health degree is. It should be noted that the multiple internet services to be selected are specifically internet services with a larger number of users, in this embodiment, Q values corresponding to the multiple internet services to be selected need to be calculated, and according to the Q values, a first numerical value of internet services with the largest Q value are selected from the multiple internet services to be selected as a first numerical value of internet services with the largest positive influence on the internet health.
Based on the foregoing method embodiment, the calculation formula of the user internet sensing evaluation result may be user internet sensing evaluation result total evaluation result B1+ user sensing worst area occupation ratio B2, where the user sensing total evaluation result is a result obtained by summing up results of products obtained by multiplying each user sensing index determined based on the data by a corresponding weight, the user sensing worst area occupation ratio is a result obtained by summing up a number of substandard indexes in corresponding user sensing indexes determined based on data corresponding to each wireless network base station of the area to be evaluated/a total number of the wireless network base stations of the area to be evaluated total number of the user sensing indexes, and B1 and B2 are weights.
In this embodiment, the user perception index may include: video pause time length ratio, video playing waiting time delay, video total buffering time length ratio, video playing time delay, page element loading time delay and the like. By adopting the calculation formula provided by the embodiment, the user internet surfing perception can be accurately evaluated, so that the reason influencing the user perception can be conveniently analyzed according to the user internet surfing perception evaluation result.
On the basis of the foregoing method embodiment, for each internet service in the first number of internet services, the calculation formula of the internet service evaluation result may be a result of summing weights corresponding to the internet service evaluation result ═ overall network performance evaluation result ═ C1+ for each network element performance evaluation result, where the overall network performance evaluation result is a result of summing results of multiplying each internet service index of the internet service by its corresponding weight, and each network element performance evaluation result is a result of summing results of multiplying each internet service index corresponding to the network element by its corresponding weight.
In this embodiment, the internet service index may reflect a situation of an internet service, and may also affect internet access perception of a user, and specifically may include: HTTP (HyperText Transfer Protocol) download rate, video response success rate, video response delay, game response success rate, game response delay, occupation ratio of an application store of less than 500kbps, web page display duration, web page display success rate, instant messaging response delay, and the like. The definition and algorithm of part of indexes are as follows:
1. response success rate of instant messaging: the number of successful instant communication service session responses/the total number of instant communication service sessions is 100%, the established conditions are that the successful service session response refers to HTTP status codes >0 and <400, and the time delay of a first HTTP response packet is > 0;
2. video response latency: the video service responds to the first HTTP response packet delay of the successful session, the statistical range is that the response successful session refers to the session with HTTP status codes >0 and <400, the first HTTP response packet delay >0, and the uplink and downlink flow is not 0;
3. HTTP download rate: the statistical range is the call ticket data with successful response, the uplink and downlink flow not 0, the downlink flow more than 500KB and the data transmission time not 0;
4. the game response success rate is as follows: game service session response success times/game service session total times 100%, wherein the service session response success refers to HTTP status code >0 and <400, and the first HTTP response packet delay > 0.
By adopting the calculation formula provided by the embodiment, not only can the internet service be accurately evaluated, but also the performance of each network element can be accurately evaluated, and the real-time monitoring of the network element level is realized, so that the real-time early warning of the network element level is conveniently realized.
On the basis of the foregoing method embodiment, the S3 may include:
and evaluating the internet health degree by using the user internet sensing evaluation result and the previous first numerical value internet service evaluation result and adopting a fuzzy comprehensive evaluation method.
Referring to fig. 2, the present embodiment discloses an internet health assessment system based on an S1 interface, including:
the system comprises a first determination unit 1, a second determination unit and a third determination unit, wherein the first determination unit is used for acquiring data of an S1 interface between a wireless network base station and a core network in a region to be evaluated within a historical period of time, and determining a first number of internet services with the maximum positive influence on internet health degree based on the data, wherein the data comprises user plane data and signaling plane data;
the second determining unit 2 is configured to evaluate the user internet surfing perception and the previous first numerical internet service based on the data to obtain a user internet surfing perception evaluation result and the previous first numerical internet service evaluation result;
and the evaluation unit 3 is used for evaluating the internet health degree by utilizing the user internet surfing perception evaluation result and the previous first numerical internet service evaluation result.
Specifically, the first determining unit 1 obtains data of an S1 interface between a wireless network base station and a core network in a region to be evaluated within a history period of time, and determines a first number of internet services having the greatest positive influence on internet health based on the data; the second determining unit 2 evaluates the user internet surfing perception and the previous first numerical internet service based on the data to obtain a user internet surfing perception evaluation result and the previous first numerical internet service evaluation result; and the evaluation unit 3 evaluates the internet health by using the user internet surfing perception evaluation result and the previous first numerical internet service evaluation result.
The internet health degree evaluation system based on the S1 interface provided by the embodiment of the invention uses the data of the S1 interface to correspondingly evaluate the first numerical internet service with the largest positive influence degree on the internet health degree and the user internet sensing, and evaluates the internet health degree based on the evaluation result.
On the basis of the foregoing device embodiment, the first determining unit may be specifically configured to:
for each internet service in a plurality of internet services to be selected, calculating a Q value corresponding to the internet service by adopting a Q value method based on the data;
and determining the first numerical value of the internet services with the maximum Q value in the plurality of internet services to be selected as the first numerical value of the internet services with the maximum positive influence on the internet health degree.
On the basis of the foregoing device embodiment, the evaluation unit may be specifically configured to:
and evaluating the internet health degree by using the user internet sensing evaluation result and the previous first numerical value internet service evaluation result and adopting a fuzzy comprehensive evaluation method.
The internet health degree evaluation system based on the S1 interface of this embodiment may be used to implement the technical solutions of the foregoing method embodiments, and the implementation principle and the technical effect are similar, and are not described herein again.
Fig. 3 is a schematic entity structure diagram of an electronic device according to an embodiment of the present invention, and as shown in fig. 3, the electronic device may include: a processor 11, a memory 12, a bus 13, and a computer program stored on the memory 12 and executable on the processor 11;
the processor 11 and the memory 12 complete mutual communication through the bus 13;
when the processor 11 executes the computer program, the method provided by the foregoing method embodiments is implemented, for example, including: acquiring data of an S1 interface between a wireless network base station and a core network of a region to be evaluated within a historical period of time, and determining a first numerical value of internet services with the maximum positive influence on the internet health degree based on the data; evaluating the user internet surfing perception and the previous first numerical internet service based on the data to obtain a user internet surfing perception evaluation result and a previous first numerical internet service evaluation result; and evaluating the Internet health degree by using the user Internet surfing perception evaluation result and the previous first numerical Internet service evaluation result.
An embodiment of the present invention provides a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the method provided by the foregoing method embodiments, and for example, the method includes: acquiring data of an S1 interface between a wireless network base station and a core network of a region to be evaluated within a historical period of time, and determining a first numerical value of internet services with the maximum positive influence on the internet health degree based on the data; evaluating the user internet surfing perception and the previous first numerical internet service based on the data to obtain a user internet surfing perception evaluation result and a previous first numerical internet service evaluation result; and evaluating the Internet health degree by using the user Internet surfing perception evaluation result and the previous first numerical Internet service evaluation result.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element. The terms "upper", "lower", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience in describing the present invention and simplifying the description, but do not indicate or imply that the referred devices or elements must have a specific orientation, be constructed and operated in a specific orientation, and thus, should not be construed as limiting the present invention. Unless expressly stated or limited otherwise, the terms "mounted," "connected," and "connected" are intended to be inclusive and mean, for example, that they may be fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
In the description of the present invention, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description. Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: that the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention. It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present invention is not limited to any single aspect, nor is it limited to any single embodiment, nor is it limited to any combination and/or permutation of these aspects and/or embodiments. Moreover, each aspect and/or embodiment of the present invention may be utilized alone or in combination with one or more other aspects and/or embodiments thereof.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the present invention, and they should be construed as being included in the following claims and description.
Claims (10)
1. An Internet health assessment method based on an S1 interface is characterized by comprising the following steps:
s1, acquiring data of an S1 interface between a wireless network base station and a core network of a region to be evaluated within a historical period of time, and determining a first numerical value of Internet services with the maximum positive influence on Internet health degree based on the data, wherein the data comprises user plane data and signaling plane data;
s2, evaluating the user internet surfing perception and the previous first numerical value internet service based on the data to obtain a user internet surfing perception evaluation result and a previous first numerical value internet service evaluation result;
and S3, evaluating the Internet health degree by using the user Internet surfing perception evaluation result and the first numerical Internet service evaluation result.
2. The method of claim 1, wherein said determining a first number of internet services having a greatest positive impact on internet health based on said data comprises:
for each internet service in a plurality of internet services to be selected, calculating a Q value corresponding to the internet service by adopting a Q value method based on the data;
and determining the first numerical value of the internet services with the maximum Q value in the plurality of internet services to be selected as the first numerical value of the internet services with the maximum positive influence on the internet health degree.
3. The method according to claim 1 or 2, wherein the calculation formula of the evaluation result of the internet-surfing perception of the user is total evaluation result of the internet-surfing perception of the user B1+ worst user perception area occupancy B2, wherein the total user perception evaluation result is a sum of products obtained by multiplying each user perception index determined based on the data by a weight corresponding to the user perception index, the worst user perception area occupancy is a sum of results obtained by summing the number of substandard indexes in the corresponding user perception indexes determined based on the data corresponding to each wireless network base station of the area to be evaluated/the total number of wireless network base stations of the area to be evaluated, and B1 and B2 are weights.
4. The method according to claim 1 or 2, wherein for each internet service in the first number of internet services, the calculation formula of the internet service evaluation result is a result of summing the internet service evaluation result by the overall network performance evaluation result by C1+ weights corresponding to the network element performance evaluation results, wherein the overall network performance evaluation result is a result of summing the results of multiplying the internet service indicators by their corresponding weights of the internet service, and each network element performance evaluation result is a result of summing the results of multiplying the internet service indicators by their corresponding weights of the network element.
5. The method according to claim 1, wherein the S3 includes:
and evaluating the internet health degree by using the user internet sensing evaluation result and the previous first numerical value internet service evaluation result and adopting a fuzzy comprehensive evaluation method.
6. An Internet health assessment system based on an S1 interface, comprising:
the system comprises a first determining unit, a second determining unit and a monitoring unit, wherein the first determining unit is used for acquiring data of an S1 interface between a wireless network base station and a core network of a region to be evaluated within a historical period of time, and determining a first number of internet services with the maximum positive influence on internet health degree based on the data, wherein the data comprises user plane data and signaling plane data;
the second determining unit is used for evaluating the user internet surfing perception and the previous first numerical value internet service based on the data to obtain a user internet surfing perception evaluation result and the previous first numerical value internet service evaluation result;
and the evaluation unit is used for evaluating the internet health degree by utilizing the user internet surfing perception evaluation result and the previous first numerical internet service evaluation result.
7. The system according to claim 6, wherein the first determining unit is specifically configured to:
for each internet service in a plurality of internet services to be selected, calculating a Q value corresponding to the internet service by adopting a Q value method based on the data;
and determining the first numerical value of the internet services with the maximum Q value in the plurality of internet services to be selected as the first numerical value of the internet services with the maximum positive influence on the internet health degree.
8. The system according to claim 6, wherein the evaluation unit is specifically configured to:
and evaluating the internet health degree by using the user internet sensing evaluation result and the previous first numerical value internet service evaluation result and adopting a fuzzy comprehensive evaluation method.
9. An electronic device, comprising: a processor, a memory, a bus, and a computer program stored on the memory and executable on the processor;
the processor and the memory complete mutual communication through the bus;
the processor, when executing the computer program, implements the method of any of claims 1-5.
10. A non-transitory computer-readable storage medium, characterized in that the storage medium has stored thereon a computer program which, when executed by a processor, implements the method of any one of claims 1-5.
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| CN112765002B (en) * | 2020-12-28 | 2023-11-14 | 中国人寿保险股份有限公司上海数据中心 | Application system health condition evaluation method, equipment and storage medium |
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