Commercial communication network risk management method, electronic equipment and computer readable medium
By acquiring and analyzing the original data in the commercial communication network, generating atomic risk data and conducting statistical analysis of risk, the complexity and inefficiency of risk management in commercial communication networks are solved, and automatic management and effective control of risks are achieved.
Patent Information
- Application Number
- CN202311036562.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2023-08-16
- Publication Date
- 2025-02-21
AI Technical Summary
Commercial communication network risk management faces problems such as data dispersion, high communication costs, high management costs and low intelligence, resulting in complex and inefficient risk identification and management.
By obtaining the original data of each business system in the commercial communication network, generating atomic risk data, and conducting risk statistical analysis, automatic management of risks of commercial communication networks is achieved.
It realizes automatic management of commercial communication network risks, improves work efficiency and user experience, lowers the skill threshold of risk analysts, and effectively controls the adverse effects of risks.
Smart Images
Figure CN119496710A_ABST
Abstract
Description
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 communication networks develop, the scale and complexity of networks gradually increase, so the identification and management of risks become more complex and critical. There are risks such as network congestion, poor performance and even interruption in communication networks. Once they occur, they may cause irreparable losses to users, enterprises and even the entire society.
[0003] However, commercial communication network risk management faces some problems, such as data dispersion, high communication costs, high management costs, and low intelligence. Summary of the invention
[0004] Embodiments of the present application provide a commercial communication network risk management method, electronic device, and computer-readable medium.
[0005] In a first aspect, an embodiment of the present application provides a commercial communication network risk management method, comprising: obtaining original data of each business system in the commercial communication network respectively; wherein the original data comprises: a first network parameter; generating atomic risk data based on the original data; wherein the atomic risk data comprises: a second network parameter, a first risk assessment information, a first statistical dimension information, and a first information for describing the risk; the second network parameter comprises the network parameter used for risk assessment in the first network parameter; performing risk statistical analysis based on the atomic risk data to obtain a risk statistical analysis result.
[0006] In a second aspect, 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, any one of the above-mentioned commercial communication network risk management methods is implemented.
[0007] In a third aspect, an embodiment of the present application provides a computer-readable medium having a computer program stored thereon, and when the computer program is executed by a processor, the computer program implements any of the above-mentioned commercial communication network risk management methods.
[0008] The commercial communication network risk management method provided in the embodiment 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. BRIEF DESCRIPTION OF THE DRAWINGS
[0009] Figure 1 A flowchart of a commercial communication network risk management method provided for one embodiment of the present application;
[0010] Figure 2 A block diagram of the composition of an electronic device provided in accordance with another embodiment of the present application. DETAILED DESCRIPTION
[0011] In order to enable technicians in this field 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 below 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. On the contrary, the purpose of providing these embodiments is to make this application thorough and complete and to enable those skilled in the art to fully understand the scope of this application.
[0013] In the absence of conflict, the embodiments of the present application and the 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 only used to describe specific embodiments and are not intended to limit the present 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 its group is not excluded.
[0016] Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by those 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 explicitly defined herein.
[0017] Figure 1 A flowchart of a commercial communication network risk management method provided for one embodiment of the present application.
[0018] First, refer to Figure 1 , the embodiment of the present application provides a commercial communication network risk management method, including:
[0019] Step 100, respectively obtain original data of each service system in the commercial communication network; wherein the original data includes: a first network parameter.
[0020] In some exemplary embodiments, the service system includes: a service server, a service client, and an intermediate network element for implementing 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] Step 101, generating atomic risk data based on 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; the second network parameter includes a network parameter in the first network parameter used for risk assessment.
[0023] In some exemplary embodiments, the second network parameter may be the same as the first network parameter, may be a partial network parameter 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 name of the network 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 based on the original data based on pre-set judgment rules or trained artificial intelligence models. Taking network performance evaluation as an example, assuming that the performance evaluation score of a network in a certain month is SG, the expert judgment experience high risk score threshold is TH, the medium risk score threshold is TM, and the low risk score threshold is TL; the performance evaluation score SG is compared with the three thresholds respectively. If the performance evaluation score SG is greater than the medium risk score threshold TM and less than the high risk score threshold TH, the network performance situation of this month is determined to be high risk; if the performance evaluation score SG is greater than the low risk score threshold TL and less than the medium risk score threshold TM, the network performance situation of this month is determined to be medium risk; if the performance evaluation score SG is less than the low risk score threshold TL, the network performance situation of this month is determined to be low risk; if the performance evaluation score SG is greater than the high risk score threshold TH, the network performance situation of this month is determined 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] Step 102: Perform risk statistical analysis 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 risk statistical analysis results includes: adding the first risk score information in the atomic risk data that is the same as the second statistical dimension information in the first statistical dimension information to obtain the 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, 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 into 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, risk statistical analysis task; 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 be at least one dimension information in the first statistical dimension information.
[0037] When there is newly added atomic risk data, determine whether the newly added atomic risk data meets the first trigger condition, that is, whether at least one dimension information in the first statistical dimension information in the newly added atomic risk data is the same as the first trigger condition. If they are the same, determine that the newly added atomic risk data meets the first trigger condition; if they are not the same, determine that the newly added atomic risk data does not meet the first trigger condition.
[0038] In some exemplary embodiments, the basic information of the task 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 comprises: preprocessing the original data of the service system to obtain preprocessed data.
[0041] Generating atomic risk data according to 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 in the third network parameter used for risk assessment.
[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; 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 preprocessed 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 the 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 by at least one of email, text message, etc.
[0048] The commercial communication network risk management method provided in the embodiment 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] Second, refer to Figure 2 Another embodiment of the present application provides an electronic device, including: at least one processor 201; a memory 202, wherein at least one program is stored in the memory 202, and when the at least one program is executed by the at least one processor 201, any one of the above-mentioned commercial communication network risk management methods 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 interaction between the processor 201 and the memory 202 .
[0051] Among them, the processor 201 is a device with data processing capabilities, including but not limited to a central processing unit (CPU) and the like; 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), 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 interaction between the processor 201 and the memory 202, including but not limited to a data bus (Bus) and the like.
[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] In a third aspect, another embodiment of the present application provides a computer-readable medium having a computer program stored thereon, and when the computer program is executed by a processor, any one of the above-mentioned commercial communication network risk management methods 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 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 include, but are 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 tapes, 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, it is well known to those skilled in the art that communication media typically contain 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 limiting purposes. In some instances, it will be apparent to those skilled in the art that, unless otherwise expressly noted, 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, those skilled in the art will appreciate 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: Acquire original data of each service system in the commercial communication network respectively; wherein the original data includes: first network parameters; 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; 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, after respectively acquiring the original data of each service system in the commercial communication network, the method further comprises: Preprocessing the original data of the business system to obtain preprocessed data; Generating atomic risk data according to the original data includes: generating atomic risk data according to the preprocessed data; wherein the preprocessed data includes: a third network parameter; The second network parameters include the network parameters used for risk assessment in the third network parameters.
3. The commercial communication network risk management method according to claim 2, wherein: The preprocessing of 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, after performing risk statistical analysis on the atomic risk data to obtain risk statistical analysis results, the method further comprises: Displaying the risk statistical analysis results in a risk chart display manner; Alternatively, risk control measures are determined based on the risk statistical analysis results.
5. The commercial communication network risk management method according to claim 1, after generating the atomic risk data according to the original data, the method further comprises: 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 is performed according to the atomic risk data to obtain the risk statistical analysis result, which includes: The risk statistical analysis result is obtained by 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; wherein the risk statistical analysis result includes: the second network parameter, the second risk assessment information, the second statistical dimension information, and the 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 4, wherein: The risk statistical analysis is performed according to the atomic risk data to obtain the risk statistical analysis result, which includes: 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 risk statistical analysis task; 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.