Commercial communication network risk management method, electronic device, and computer-readable medium

Abstract

The present application provides a commercial communication network risk management method, an electronic device, and a computer-readable medium. The method comprises: respectively acquiring raw data of each service system in a commercial communication network, the raw data comprising a first network parameter; on the basis of the raw data, generating atomic risk data, the atomic risk data comprising: a second network parameter, first risk assessment information, first statistical dimension information, and first information used for describing risk, the second network parameter comprising a network parameter, among the first network parameters, used for risk assessment; and on the basis of the atomic risk data, performing risk statistical analysis to obtain a risk statistical analysis result.

Description

Commercial communication network risk management method, electronic device, and computer-readable medium Technical Field

[0001] The embodiments of the present application relate to the field of data processing technology, and in particular to a commercial communication network risk management method, an electronic device, and a computer-readable medium. Background Art

[0002] As commercial communications networks grow in scale and complexity, identifying and managing risks becomes increasingly complex and crucial. Risks such as congestion, poor performance, and even outages exist within communications networks. Once these risks occur, they can cause irreparable damage to users, businesses, and even society as a whole.

[0003] However, commercial communication network risk management faces some problems, such as data dispersion, high communication costs, high management costs, and low intelligence.

[0004] Summary of the Invention

[0005] Embodiments of the present application provide a commercial communication network risk management method, electronic device, and computer-readable medium.

[0006] An embodiment of the present application provides a commercial communication network risk management method, including: obtaining original data of each business system in the commercial communication network respectively, wherein the original data includes a first network parameter; generating atomic risk data based on the original data, wherein the atomic risk data includes: a second network parameter, first risk assessment information, first statistical dimension information, and first information for describing the risk, wherein the second network parameter includes the network parameter used for risk assessment in the first network parameter; and performing risk statistical analysis based on the atomic risk data to obtain a risk statistical analysis result.

[0007] An embodiment of the present application provides an electronic device, comprising: at least one processor; a memory, wherein at least one program is stored in the memory, and when the at least one program is executed by the at least one processor, a commercial communication network risk management method according to an embodiment of the present application is implemented.

[0008] An embodiment of the present application provides a computer-readable medium having a computer program stored thereon. When the computer program is executed by a processor, the commercial communication network risk management method according to the embodiment of the present application is implemented. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] FIG1 is a flow chart of a commercial communication network risk management method provided by an embodiment of the present application;

[0010] FIG2 is a block diagram of the electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0011] In order to enable those skilled in the art to better understand the technical solution of the present application, the commercial communication network risk management method, electronic device, and computer-readable medium provided by the present application are described in detail below in conjunction with the accompanying drawings.

[0012] Example embodiments will be described more fully hereinafter with reference to the accompanying drawings, but the example embodiments may be embodied in different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this application will be thorough and complete and will fully convey the scope of this application to those skilled in the art.

[0013] In the absence of conflict, the various embodiments of the present application and the various features therein may be combined with each other.

[0014] As used herein, the term "and / or" includes any and all combinations of at least one of the associated listed items.

[0015] The terms used herein are used only to describe specific embodiments and are not intended to limit this application. As used herein, the singular forms "a," "an," and "the" are also intended to include the plural forms, unless the context clearly indicates otherwise. It will also be understood that when the terms "comprising" and / or "made of" are used in this specification, the presence of the features, wholes, steps, operations, elements, and / or components is specified, but the presence or addition of at least one other feature, whole, step, operation, element, component, and / or group thereof is not excluded.

[0016] Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art. It will also be understood that terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with their meaning in the context of the relevant art and this application, and will not be interpreted as having an idealized or overly formal meaning unless expressly defined as such herein.

[0017] FIG1 is a flowchart of a commercial communication network risk management method provided in an embodiment of the present application.

[0018] 1 , the commercial communication network risk management method provided in an embodiment of the present application includes the following steps 100 to 102 .

[0019] In step 100, original data of each service system in the commercial communication network is obtained respectively, wherein the original data includes a first network parameter.

[0020] In some exemplary embodiments, a service system includes: a service server, a service client, and an intermediate network element that enables communication between the service server and the service client in a commercial communication network.

[0021] In some exemplary embodiments, the first network parameter may be any parameter extracted from the network, such as network performance.

[0022] In step 101, atomic risk data is generated based on the original data, wherein the atomic risk data includes: a second network parameter, first risk assessment information, first statistical dimension information, and first information for describing the risk, and the second network parameter includes the network parameter used for risk assessment in the first network parameter.

[0023] In some exemplary embodiments, the second network parameter may be the same as the first network parameter, or may be a portion of the first network parameter, or may be obtained based on the first network parameter.

[0024] In some exemplary embodiments, the first statistical dimension information includes at least one of the following: business system information, region information, time information, and network information.

[0025] In some exemplary embodiments, the business system information includes at least one of a business system name, a business system identifier, and the like.

[0026] In some exemplary embodiments, the region information includes at least one of a region name, a region identifier, and the like.

[0027] In some exemplary embodiments, the network information includes: the network name where the network element in the service system is located, etc.

[0028] In some exemplary embodiments, the first risk assessment information includes at least one of the following: first risk level information, first risk score information.

[0029] In some exemplary embodiments, atomic risk data can be generated from raw data based on pre-set judgment rules or a trained artificial intelligence model. Taking network performance evaluation as an example, assume that the performance evaluation score of a network in a certain month is SG, and the expert judgment experience thresholds for high risk scores are TH, medium risk scores are TM, and low risk scores are TL. It should be appreciated that in this example, a lower network performance evaluation score SG indicates a higher risk, that is, the high risk score threshold TH is lower than the medium risk score threshold TM, and the medium risk score threshold TM is lower than the low risk threshold TL. The performance evaluation score SG is compared with the three thresholds respectively. If the performance evaluation score SG is less than the high-risk score threshold TH, the network performance situation this month is judged to be high-risk; if the performance evaluation score SG is greater than the high-risk score threshold TH and less than the medium-risk score threshold TM, the network performance situation this month is judged to be medium-risk; if the performance evaluation score SG is greater than the medium-risk score threshold TM and less than the low-risk score threshold TL, the network performance situation this month is judged to be low-risk; if the performance evaluation score SG is greater than the low-risk score threshold TL, the network performance situation this month is judged to be risk-free.

[0030] In the above example, the first network parameter may be a performance evaluation score, and the atomic risk data may be: performance evaluation score, SG, low risk, a certain month, and “network performance is low risk”.

[0031] In step 102, risk statistical analysis is performed based on the atomic risk data to obtain risk statistical analysis results.

[0032] In some exemplary embodiments, performing risk statistical analysis based on atomic risk data to obtain a risk statistical analysis result includes: adding the first risk score information in the atomic risk data that has the same second statistical dimension information as the first statistical dimension information to obtain a risk statistical analysis result, wherein the risk statistical analysis result includes: a second network parameter, second risk assessment information, second statistical dimension information, and second information for describing the risk, and the second risk assessment information includes at least one of the following: second risk level information and second risk score information.

[0033] In some exemplary embodiments, the second statistical dimension information may be the same as the first statistical dimension information, or may be partial dimension information in the first statistical dimension information.

[0034] In some exemplary embodiments, the second risk score information is the sum of the first risk score information in the atomic risk data having the same second statistical dimension information as the first statistical dimension information.

[0035] In some exemplary embodiments, performing risk statistical analysis based on atomic risk data to obtain risk statistical analysis results includes: when a first trigger condition is met, updating the atomic risk data to a risk record table; when a second trigger condition is met, creating a task table item in a task basic information table, wherein the task table item includes: basic task information, a risk statistical analysis task, and the risk statistical analysis task is used to perform risk statistical analysis based on the atomic risk data in the risk record table to obtain risk statistical analysis results; and recording the task progress information of the risk statistical analysis task in the task basic information table into the task progress information table.

[0036] In some exemplary embodiments, the first trigger condition may include at least one dimension information in the first statistical dimension information.

[0037] When there is new atomic risk data, determine whether the new atomic risk data meets the first trigger condition, that is, whether at least one dimension information in the first statistical dimension information in the new atomic risk data is the same as the first trigger condition. If they are the same, determine that the new atomic risk data meets the first trigger condition; if they are not the same, determine that the new atomic risk data does not meet the first trigger condition.

[0038] In some exemplary embodiments, the basic task information includes: target requirements, task name, responsible person, acceptor, etc.

[0039] In some exemplary embodiments, the task progress information includes: task progress value, task progress status, information indicating whether there is a delay, etc.

[0040] In some exemplary embodiments, after respectively acquiring the original data of each service system in the commercial communication network, the method further includes: preprocessing the original data of the service system to obtain preprocessed data.

[0041] Generating atomic risk data according to the original data includes: generating atomic risk data according to preprocessed data, wherein the preprocessed data includes a third network parameter; and the second network parameter includes a network parameter used for risk assessment in the third network parameter.

[0042] In some exemplary embodiments, preprocessing the original data of the business system to obtain preprocessed data includes at least one of the following: filling missing values ​​in the original data of the business system; adjusting the format of the original data of the business system; extracting fields that need to be analyzed in the original data of the business system; and correcting values ​​with obvious errors in the original data of the business system.

[0043] In some exemplary embodiments, after performing risk statistical analysis based on the atomic risk data to obtain risk statistical analysis results, the method further includes: displaying the risk statistical analysis results in a risk chart display format; or determining risk control measures based on the risk statistical analysis results.

[0044] In some exemplary embodiments, the risk chart may be displayed in the form of a classification chart, a risk map, a risk trend chart, etc., and may be specifically displayed in the form of a bar chart, a line chart, a map, a 3D chart, etc.

[0045] In some exemplary embodiments, after generating the atomic risk data according to the original data or generating the atomic risk data according to the pre-processed data, the method further includes: displaying the atomic risk data in a risk carousel manner.

[0046] In some exemplary embodiments, after performing risk statistical analysis on the atomic risk data to obtain a risk statistical analysis result, the method further includes: sending the risk statistical analysis result to a user.

[0047] In some exemplary embodiments, the risk statistical analysis results may be sent to the user in at least one of emails, text messages, and the like.

[0048] The commercial communication network risk management method provided in the embodiments of the present application realizes the automatic management of commercial communication network risks, improves work efficiency and user experience, lowers the skill threshold of commercial communication network risk analysts, and effectively controls and reduces the adverse effects brought about by commercial communication network risks.

[0049] Referring to Figure 2, an embodiment of the present application also provides an electronic device, including: at least one processor 201; a memory 202, and at least one program is stored on the memory 202. When the at least one program is executed by the at least one processor 201, the commercial communication network risk management method according to each embodiment of the present application is implemented.

[0050] In some exemplary embodiments, the electronic device further includes one or more I / O interfaces 203 connected between the processor 201 and the memory 202 and configured to implement information exchange between the processor 201 and the memory 202 .

[0051] The processor 201 is a device with data processing capabilities, including but not limited to a central processing unit (CPU); the memory 202 is a device with data storage capabilities, including but not limited to random access memory (RAM, more specifically SDRAM, DDR, etc.), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), and flash memory (FLASH); the I / O interface (read-write interface) 203 is connected between the processor 201 and the memory 202, and can realize information exchange between the processor 201 and the memory 202, including but not limited to a data bus (Bus).

[0052] In some embodiments, the processor 201 , the memory 202 , and the I / O interface 203 are connected to each other via a bus 204 , and further connected to other components of the computing device.

[0053] An embodiment of the present application further provides a computer-readable medium having a computer program stored thereon. When the computer program is executed by a processor, the commercial communication network risk management method according to each embodiment of the present application is implemented.

[0054] It will be appreciated by those skilled in the art that all or some of the steps, systems, and functional modules / units in the methods disclosed above may be implemented as software, firmware, hardware, and appropriate combinations thereof. In hardware implementations, the division between the functional modules / units mentioned in the above description does not necessarily correspond to the division of physical components; for example, a physical component may have multiple functions, or a function or step may be performed by several physical components in cooperation. Some or all physical components may be implemented as software executed by a processor, such as a central processing unit, a digital signal processor, or a microprocessor, or implemented as hardware, or implemented as an integrated circuit, such as an application-specific integrated circuit. Such software may be distributed on a computer-readable medium, which may include a computer storage medium (or non-transitory medium) and a communication medium (or temporary medium). As is well known to those skilled in the art, the term computer storage medium includes volatile and non-volatile, removable, and non-removable media implemented in any method or technology for storing information (such as computer-readable instructions, data structures, program modules, or other data). Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage, or any other medium that can be used to store the desired information and can be accessed by a computer. In addition, as is well known to those skilled in the art, communication media typically embodies computer-readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transport mechanism, and may include any information delivery media.

[0055] Example embodiments have been disclosed herein, and although specific terms are employed, they are used and should be interpreted only in a general illustrative sense and not for purposes of limitation. In some instances, it will be apparent to those skilled in the art that, unless otherwise expressly indicated, features, characteristics, and / or elements described in conjunction with a particular embodiment may be used alone or in combination with features, characteristics, and / or elements described in conjunction with other embodiments. Therefore, it will be understood by those skilled in the art that various changes in form and detail may be made without departing from the scope of the present application as set forth in the appended claims.

Claims

1. A commercial communication network risk management method, comprising: Respectively acquiring original data of each service system in the commercial communication network, wherein the original data includes a first network parameter; Generate atomic risk data according to the original data, wherein the atomic risk data includes: a second network parameter, first risk assessment information, first statistical dimension information, and first information for describing risk, and the second network parameter includes a network parameter used for risk assessment in the first network parameter; A risk statistical analysis is performed based on the atomic risk data to obtain a risk statistical analysis result.

2. The commercial communication network risk management method according to claim 1, wherein: After respectively acquiring the original data of each service system in the commercial communication network, the method further includes: Preprocessing the original data of the business system to obtain preprocessed data, Generating atomic risk data according to the original data includes: Atomic risk data is generated according to the preprocessed data, wherein the preprocessed data includes a third network parameter, and the second network parameter includes a network parameter used for risk assessment in the third network parameter.

3. The commercial communication network risk management method according to claim 2, wherein: Preprocessing the original data of the business system to obtain preprocessed data includes at least one of the following: Filling missing values ​​in the original data of the business system; Adjusting the format of the original data of the business system; Extracting fields that need to be analyzed from the original data of the business system; Correct the obviously erroneous values ​​in the original data of the business system.

4. The commercial communication network risk management method according to claim 1, wherein: After performing risk statistical analysis according to the atomic risk data to obtain risk statistical analysis results, the method further includes: Displaying the risk statistical analysis results in a risk chart display; or Determine risk control measures based on the risk statistical analysis results.

5. The commercial communication network risk management method according to claim 1, wherein: After generating the atomic risk data according to the original data, the method further includes: The atomic risk data is displayed in a risk carousel manner.

6. The commercial communication network risk management method according to any one of claims 1 to 5, wherein: The first statistical dimension information includes at least one of the following: business system information, area information, time information, and network information.

7. The commercial communication network risk management method according to any one of claims 1 to 5, wherein: The first risk assessment information includes at least one of the following: first risk level information, first risk score information; The risk statistical analysis results obtained by performing risk statistical analysis based on the atomic risk data include: The risk statistical analysis result is obtained by adding the first risk score information in the atomic risk data having the same second statistical dimensional information as the first statistical dimensional information, Among them, the risk statistical analysis result includes: the second network parameter, second risk assessment information, second statistical dimension information, and second information for describing the risk, and the second risk assessment information includes at least one of the following: second risk level information and second risk score information.

8. The commercial communication network risk management method according to any one of claims 1 to 5, wherein: Perform risk statistical analysis based on the atomic risk data to obtain a risk statistical analysis result Results include: When the first trigger condition is met, updating the atomic risk data into a risk record table; When the second trigger condition is met, a task table item is created in the task basic information table, wherein the task table item includes: basic task information and a risk statistical analysis task, wherein the risk statistical analysis task is used to perform risk statistical analysis according to the atomic risk data in the risk record table to obtain a risk statistical analysis result; The task progress information of the risk statistical analysis task in the task basic information table is recorded in the task progress information table.

9. An electronic device, comprising: at least one processor; A memory having at least one program stored thereon, wherein when the at least one program is executed by the at least one processor, the commercial communication network risk management method according to any one of claims 1 to 8 is implemented.

10. A computer-readable medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the commercial communication network risk management method according to any one of claims 1 to 8.

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