Digital system operation monitoring management method and system

Abstract

The invention provides a digital system operation monitoring management method and system, and belongs to the technical field of system management, and the method specifically comprises the steps: taking an alternative monitoring combination with overlapped associated servers as an associated monitoring combination, and performing duplicate removal processing on the alternative monitoring combination through a target similarity coefficient between the associated monitoring combinations to obtain a target monitoring combination, performing operation monitoring processing on the target monitoring combination according to a preset monitoring processing strategy, and taking other operation monitoring combinations except the target monitoring combination as other monitoring combinations. And on the basis of the target similarity coefficient between the other monitoring combinations and the target monitoring combination and the historical data volume of the other monitoring combinations, monitoring processing strategies corresponding to the different other monitoring combinations are determined, so that the comprehensiveness and accuracy of monitoring management of the digital system are improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of system management, and in particular relates to a digital system operation monitoring management method and system. Background Art

[0002] Due to differences in business needs and service entities, there are currently multiple types of digital systems in power companies. At the same time, the number of digital systems is large, resulting in a lack of unified and effective supervision of digital systems. This makes how to achieve unified supervision of digital systems a technical problem that needs to be solved urgently.

[0003] Specifically, in the invention patent application CN201010144618.7 "Security Operation and Maintenance Supervision Platform for Power Secondary System Information", the information is transmitted to the data monitoring center through the output interface for unified analysis and storage, and through the browsing interface of local monitoring. This enhances the control over the network and the entire information system, improves the level of operation and maintenance, and ensures the safety management of the power secondary system. However, the following technical problems exist: The existing technical solutions ignore the generation of differentiated monitoring and management strategies based on the specific needs of the digital system. Specifically, since the back-end servers and communication links corresponding to the digital systems are similar to a certain extent, if the operation monitoring strategy cannot be generated based on the similarities of the back-end servers and communication links, the effectiveness of the monitoring and management of the digital system and the efficiency of identifying and handling fault problems cannot be guaranteed.

[0004] In view of the above technical problems, the present invention provides a method and system for monitoring and managing the operation of a digital system. Summary of the invention

[0005] To achieve the purpose of the present invention, the present invention adopts the following technical solutions: In order to solve the above technical problems, the present invention provides a digital system operation monitoring and management method, which specifically includes: S1 generates an operation monitoring combination based on the associated communication links and associated servers of the digital system, and determines the target similarity coefficients between different operation monitoring combinations through the similarities of the associated communication links and associated servers; S2 obtains the target similarity coefficient between the operation monitoring combination and other operation monitoring combinations, and determines the monitoring demand coefficient of the operation monitoring combination and the alternative monitoring combinations in the operation monitoring combination in combination with the historical data volume of the digital system corresponding to the different operation monitoring combinations; S3: taking the candidate monitoring combinations with overlapping associated servers as associated monitoring combinations, performing deduplication processing on the candidate monitoring combinations according to the target similarity coefficients between the associated monitoring combinations to obtain the target monitoring combination, and performing operation monitoring processing on the target monitoring combination according to the preset monitoring processing strategy; S4 regards other operating monitoring combinations except the target monitoring combination as other monitoring combinations, and determines the monitoring processing strategies corresponding to different other monitoring combinations based on the target similarity coefficient between the other monitoring combinations and the target monitoring combination and the amount of historical data of the other monitoring combinations.

[0006] The beneficial effects of the present invention are: 1. In the present application, the target monitoring combination is obtained by deduplicating the alternative monitoring combinations through the target similarity coefficients between the associated monitoring combinations. This not only ensures the monitoring needs of the operating monitoring combination with a larger target similarity coefficient with other operating monitoring combinations, but also performs unified monitoring management on it as a whole, thereby improving the comprehensiveness of the monitoring management of the digital system, and also provides a certain degree of reference value for other operating monitoring combinations with higher target similarity coefficients. At the same time, the target similarity coefficient is used for deduplication processing to avoid the emergence of technical problems that make monitoring processing more difficult due to repeated monitoring.

[0007] 2. In the present application, the monitoring processing strategies corresponding to different other monitoring combinations are determined based on the target similarity coefficient between other monitoring combinations and the target monitoring combination and the amount of historical data of the other monitoring combinations. This not only ensures the monitoring processing needs of other monitoring combinations with poor target similarity coefficients with the target monitoring combination, but also treats them as statistical monitoring management objects to ensure the comprehensiveness and completeness of monitoring management. It also ensures the unified monitoring needs of other monitoring combinations with large amounts of historical data during operation. On this basis, other monitoring combinations with smaller or more similar data volumes are only considered as monitored servers, further reducing the difficulty of monitoring management.

[0008] A further technical solution is that the associated communication links and associated servers of the digital system are determined based on the communication links and servers corresponding to the data flow of the digital system during use.

[0009] A further technical solution is that the operation monitoring combination is constructed according to a combination of associated communication links and associated servers of different digital systems.

[0010] A further technical solution is that the method for determining the monitoring processing strategy corresponding to the other monitoring combinations is: Determine the target monitoring combination whose target similarity coefficient is greater than the set value of the similarity coefficient by using the target similarity coefficient between the other monitoring combinations and the target monitoring combination, and use it as a similar target monitoring combination; Determine the monitoring requirement coefficient of the other monitoring combination according to the target similarity coefficient between the different similar target monitoring combinations and the other monitoring combinations; Determine the data flow of the other monitoring combinations at different time periods using the historical data volume of the other monitoring combinations, and determine the data flow busy coefficient of the other monitoring combinations according to the data flow at different time periods; Based on the monitoring demand coefficient and the data flow busy coefficient, the comprehensive monitoring demand coefficient of the other monitoring combination is determined, and the monitoring processing strategy corresponding to the other monitoring combination is determined using the comprehensive monitoring demand coefficient.

[0011] A further technical solution is that the monitoring processing strategy corresponding to the other monitoring combinations includes monitoring and processing the other monitoring combinations as a monitoring subject, and separately monitoring and processing the monitoring and processing servers in the other monitoring combinations that are not in the target monitoring combination.

[0012] A further technical solution is to use the comprehensive monitoring demand coefficient to determine the monitoring processing strategy corresponding to the other monitoring combinations, specifically including: When the comprehensive monitoring demand coefficient is greater than the preset monitoring demand coefficient threshold, the other monitoring combinations are treated as a monitoring subject for monitoring processing; When the comprehensive monitoring demand coefficient is not greater than a preset monitoring demand coefficient threshold, the monitoring processing servers in the other monitoring combinations that are not in the target monitoring combination are monitored separately.

[0013] In a second aspect, the present invention provides a computer system comprising: a memory and a processor that are communicatively connected, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the above-mentioned digital system operation monitoring and management method when running the computer program.

[0014] Other features and advantages will be described in the following description, and partly become apparent from the description, or understood by practicing the invention. The purpose and other advantages of the invention are realized and obtained by the structures particularly pointed out in the description and the drawings.

[0015] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The above and other features and advantages of the present invention will become more apparent by describing in detail exemplary embodiments thereof with reference to the attached drawings.

[0017] Figure 1 It is a flow chart of a method for monitoring and managing the operation of a digital system; Figure 2 is a flow chart of a method for determining a target similarity coefficient between operating monitoring combinations; Figure 3 is a flow chart of a method for determining a monitoring demand factor for an operational monitoring combination. DETAILED DESCRIPTION

[0018] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in a variety of forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that the present invention will be comprehensive and complete and fully convey the concepts of the example embodiments to those skilled in the art. The same reference numerals in the figures represent the same or similar structures, and thus their detailed description will be omitted.

[0019] The terms "a", "an", "the", and "said" are used to indicate the presence of one or more elements / components / etc.; the terms "comprising" and "having" are used to express an open-ended inclusive meaning and mean that additional elements / components / etc. may be present in addition to the listed elements / components / etc.

[0020] Example 1 To solve the above problems, according to one aspect of the present invention, Figure 1 According to one aspect of the present invention, a digital system operation monitoring and management method is provided, which specifically includes: S1 generates an operation monitoring combination based on the associated communication links and associated servers of the digital system, and determines the target similarity coefficients between different operation monitoring combinations through the similarities of the associated communication links and associated servers; Furthermore, the associated communication links and associated servers of the digital system are determined based on the communication links and servers corresponding to the data flow during use of the digital system.

[0021] It can be understood that the operation monitoring combination is constructed based on a combination of associated communication links and associated servers of different digital systems.

[0022] Specifically, Figure 2 As shown, the method for determining the target similarity coefficient between the operation monitoring combinations is: Based on the similarity of the associated servers, the number of consistent associated servers between different operation monitoring combinations is determined, and the server similarity coefficient between the operation monitoring combinations is determined by multiplying the proportion of the number of the consistent associated servers in different operation monitoring combinations; Determine the same number of communication nodes in the associated communication links between different operation monitoring combinations according to the similarity of the associated communication links, and determine the link similarity coefficient between the operation monitoring combinations based on the product of the proportion of the same number of communication nodes in the different operation monitoring combinations; A target similarity coefficient between the operation monitoring combinations is determined based on the server similarity coefficient and the link similarity coefficient.

[0023] Furthermore, the target similarity coefficient between the operation monitoring combinations ranges from 0 to 1, wherein the larger the target similarity coefficient between the operation monitoring combinations is, the higher the similarity between the operation monitoring combinations is.

[0024] S2 obtains the target similarity coefficient between the operation monitoring combination and other operation monitoring combinations, and determines the monitoring demand coefficient of the operation monitoring combination and the alternative monitoring combinations in the operation monitoring combination in combination with the historical data volume of the digital system corresponding to the different operation monitoring combinations; It should also be noted that the historical data volume of the digital system includes the historical call times of the digital system and the flow data volume of the digital system with different historical call times.

[0025] Specifically, Figure 3 As shown, the method for determining the monitoring requirement coefficient of the operation monitoring combination is: Determine similar monitoring combinations in other operation monitoring combinations according to target similarity coefficients between the operation monitoring combination and other operation monitoring combinations, and determine monitoring data similarity coefficients of the operation monitoring combination based on the number of similar monitoring combinations; Determine the necessary monitoring processing coefficients of different operation monitoring combinations based on the amount of historical data of the digital system corresponding to different operation monitoring combinations, and determine the monitoring data matching coefficient of the operation monitoring combination based on the product of the target similarity coefficients of different other operation monitoring combinations and the operation monitoring combination and the necessary monitoring processing coefficient; The monitoring requirement coefficient of the operation monitoring combination is determined by the average value of the monitoring data similarity coefficient, the monitoring processing necessity coefficient and the monitoring data matching coefficient of the operation monitoring combination.

[0026] It should also be noted that when the monitoring demand coefficient of the operation monitoring combination is greater than a preset demand coefficient threshold, the operation monitoring combination is determined to be an alternative monitoring combination.

[0027] It can be understood that the method for determining the monitoring requirement coefficient of the operation monitoring combination is: S21 determines the necessary coefficient of monitoring processing of the operation monitoring combination based on the amount of historical data of the digital system corresponding to the operation monitoring combination; S22, according to the target similarity coefficient between the operation monitoring combination and other operation monitoring combinations, based on the product of the target similarity coefficient between different other operation monitoring combinations and the operation monitoring combination and the necessary coefficient for monitoring processing, determining the basic matching coefficient between the operation monitoring combination and different other operation monitoring combinations; S23 determines the monitoring data matching coefficient of the operation monitoring combination according to the basic matching coefficient between the operation monitoring combination and other different operation monitoring combinations, determines the monitoring data similarity coefficient of the operation monitoring combination based on the number of similar monitoring combinations, and determines the monitoring requirement coefficient of the operation monitoring combination by the average value of the monitoring data similarity coefficient, the monitoring processing necessity coefficient and the monitoring data matching coefficient of the operation monitoring combination.

[0028] Optionally, the above step S21 includes the following contents: Based on the amount of historical data of the digital system corresponding to the operation monitoring combination, determine the necessary monitoring processing coefficient of the operation monitoring combination, and judge whether the necessary monitoring processing coefficient of the operation monitoring combination meets the requirements. If so, proceed to the next step; if not, determine that the operation monitoring combination does not belong to the candidate monitoring combination; Optionally, the above step S22 includes the following contents: S221 determines whether there is a similar monitoring combination in other operation monitoring combinations according to the target similarity coefficient between the operation monitoring combination and other operation monitoring combinations, if so, proceeds to step S23, if not, proceeds to the next step; S222: determining whether the target similarity coefficients between the operation monitoring combination and other operation monitoring combinations are all less than the preset similarity coefficients; if so, determining that the operation monitoring combination does not belong to the candidate monitoring combination; if not, proceeding to the next step; S223 determines the basic matching coefficient between the operation monitoring combination and different other operation monitoring combinations based on the product of the target similarity coefficient between the operation monitoring combination and the necessary coefficient for monitoring processing, and judges whether there are other operation monitoring combinations whose basic matching coefficient is greater than the preset matching coefficient. If so, enters step S23; if not, determines that the operation monitoring combination does not belong to the alternative monitoring combination.

[0029] Optionally, the above step S23 includes the following contents: S231 determines the monitoring data matching coefficient of the operation monitoring combination according to the basic matching coefficient between the operation monitoring combination and different other operation monitoring combinations, and judges whether the monitoring data matching coefficient of the operation monitoring combination meets the requirement, if so, proceeds to the next step, if not, determines that the operation monitoring combination does not belong to the candidate monitoring combination; S232 determines the monitoring data similarity coefficient of the operation monitoring combination based on the number of similar monitoring combinations, and determines the monitoring requirement coefficient of the operation monitoring combination by the average value of the monitoring data similarity coefficient of the operation monitoring combination, the monitoring processing necessity coefficient and the monitoring data matching coefficient.

[0030] S3: taking the candidate monitoring combinations with overlapping associated servers as associated monitoring combinations, performing deduplication processing on the candidate monitoring combinations according to the target similarity coefficients between the associated monitoring combinations to obtain the target monitoring combination, and performing operation monitoring processing on the target monitoring combination according to the preset monitoring processing strategy; Furthermore, the method for determining the target monitoring combination is: Determine similar monitoring combinations in the associated monitoring combinations by using target similarity coefficients between the associated monitoring combinations, and divide the associated monitoring combinations that are similar to each other into the same deduplication processing group; Determine the average of the target similarity coefficients of different associated monitoring combinations based on the target similarity coefficients between the associated monitoring combinations in different deduplication processing groups and other associated monitoring combinations, and use it as the average of the similarity coefficients; The deduplication priority coefficients of different associated monitoring combinations in different deduplication processing groups are determined by the similarity coefficient average value and the monitoring requirement coefficient, and the deduplication priority coefficients are used to determine the deduplication processing targets in the deduplication processing groups, and the associated monitoring combinations after deduplication processing are used as the target monitoring combinations.

[0031] It can be understood that the determination of the deduplication processing target in the deduplication processing group using the deduplication processing priority coefficient specifically includes: Excluding the associated monitoring combination with the smallest deduplication processing priority coefficient in the deduplication processing group, the other associated monitoring combinations are taken as deduplication processing targets.

[0032] It should also be noted that the method for determining the target monitoring combination is: S31 determines similar monitoring combinations in the associated monitoring combinations by using the target similarity coefficients between the associated monitoring combinations, and divides the associated monitoring combinations and similar monitoring combinations of the associated monitoring combinations into the same deduplication processing group; S32 uses the similar monitoring combination whose monitoring demand coefficient is greater than the associated monitoring combination as the screened similar monitoring combination, determines the average value of the target similarity coefficients of different associated monitoring combinations based on the target similarity coefficients between the associated monitoring combinations in different deduplication processing groups and other associated monitoring combinations, and uses it as the average value of the similarity coefficients, and uses the average value of the similarity coefficients between the associated monitoring combination and the similar monitoring combination in the deduplication processing group to determine the specificity of the associated monitoring combination; S33 determines the deduplication priority coefficients of different associated monitoring combinations in different deduplication groups through the similarity coefficient average value and the monitoring requirement coefficient, and uses the deduplication priority coefficient to determine the deduplication target in the deduplication group, and uses the associated monitoring combination after deduplication as the target monitoring combination.

[0033] Further, the operation monitoring process of the target monitoring combination is performed according to a preset monitoring process strategy, specifically including: The target monitoring combination is taken as a monitoring subject, the data interaction between the nodes and the server in the communication link of the target monitoring combination is determined, and the monitoring processing result of the target monitoring combination is generated using the data interaction situation.

[0034] It can be understood that the preset monitoring processing strategy includes the analysis and processing cycle of the monitoring data of the target monitoring combination and the data interaction status of the monitoring data.

[0035] Furthermore, the preset monitoring processing strategy includes an analysis and processing cycle of the monitoring data of the target monitoring combination and a data interaction status of the monitoring data.

[0036] S4 regards other operating monitoring combinations except the target monitoring combination as other monitoring combinations, and determines the monitoring processing strategies corresponding to different other monitoring combinations based on the target similarity coefficient between the other monitoring combinations and the target monitoring combination and the amount of historical data of the other monitoring combinations.

[0037] It can be understood that the method for determining the monitoring processing strategy corresponding to the other monitoring combinations is: Determine the target monitoring combination whose target similarity coefficient is greater than the set value of the similarity coefficient by using the target similarity coefficient between the other monitoring combinations and the target monitoring combination, and use it as a similar target monitoring combination; Determine the monitoring requirement coefficient of the other monitoring combination according to the target similarity coefficient between the different similar target monitoring combinations and the other monitoring combinations; Determine the data flow of the other monitoring combinations at different time periods using the historical data volume of the other monitoring combinations, and determine the data flow busy coefficient of the other monitoring combinations according to the data flow at different time periods; Based on the monitoring demand coefficient and the data flow busy coefficient, the comprehensive monitoring demand coefficient of the other monitoring combination is determined, and the monitoring processing strategy corresponding to the other monitoring combination is determined using the comprehensive monitoring demand coefficient.

[0038] Furthermore, the monitoring processing strategies corresponding to the other monitoring combinations include monitoring and processing the other monitoring combinations as a monitoring subject, and separately monitoring and processing the monitoring and processing servers in the other monitoring combinations that are not in the target monitoring combination.

[0039] It should also be noted that the monitoring processing strategy corresponding to the other monitoring combinations is determined by using the comprehensive monitoring demand coefficient, specifically including: When the comprehensive monitoring demand coefficient is greater than the preset monitoring demand coefficient threshold, the other monitoring combinations are treated as a monitoring subject for monitoring processing; When the comprehensive monitoring demand coefficient is not greater than a preset monitoring demand coefficient threshold, the monitoring processing servers in the other monitoring combinations that are not in the target monitoring combination are monitored separately.

[0040] It should be further explained that the method for determining the monitoring processing strategy corresponding to the other monitoring combinations is: S41 determines a target monitoring combination whose target similarity coefficient is greater than a set value of the similarity coefficient based on the target similarity coefficient between the other monitoring combinations and the target monitoring combination, and takes the target monitoring combination whose target similarity coefficient is greater than the set value of the similarity coefficient as a similar target monitoring combination; Optionally, the above step S41 includes the following contents: S411 determines whether there is a target monitoring combination whose target similarity coefficient is greater than the set value of the similarity coefficient based on the target similarity coefficient between the other monitoring combinations and the target monitoring combination. If so, proceed to the next step. If not, determine the monitoring processing strategy corresponding to the other monitoring combinations using the first monitoring processing strategy. S412 takes the target monitoring combination whose target similarity coefficient is greater than the similarity coefficient setting value as a similar target monitoring combination, and determines whether the number of similar target monitoring combinations is greater than the preset number of combinations. If so, the second monitoring processing strategy is used to determine the monitoring processing strategy corresponding to the other monitoring combinations. If not, enter step S42.

[0041] S42 determines the monitoring demand coefficient of the other monitoring combination according to the target similarity coefficient of different similar target monitoring combinations and the other monitoring combination, determines the data flow situation of the other monitoring combination in different time periods by using the historical data volume of the other monitoring combination, and determines the data flow busy coefficient of the other monitoring combination according to the data flow situation in different time periods; Optionally, the above step S42 includes the following contents: S421 determines the monitoring demand coefficient of the other monitoring combination according to the target similarity coefficient of the different similar target monitoring combinations and the other monitoring combinations, and judges whether the monitoring demand coefficient of the other monitoring combination is greater than the demand coefficient setting value, if so, proceeds to the next step, if not, proceeds to step S43; S422 uses the historical data volume of the other monitoring combinations to determine the data flow of the other monitoring combinations in different time periods, and determines whether the proportion of the number of time periods in which the flow data volume of the other monitoring combinations is greater than the preset data volume threshold meets the requirements. If so, proceed to the next step; if not, use the first monitoring processing strategy to determine the monitoring processing strategy corresponding to the other monitoring combinations; S423 determines the data flow busy coefficient of the other monitoring combinations according to the data flow conditions in different time periods, and judges whether the data flow busy coefficient of the other monitoring combinations is within the preset busy coefficient range. If so, the first monitoring processing strategy is used to determine the monitoring processing strategy corresponding to the other monitoring combinations. If not, enter step S43.

[0042] S43 determines the comprehensive monitoring demand coefficient of the other monitoring combinations based on the monitoring demand coefficient and the data flow busy coefficient, and uses the comprehensive monitoring demand coefficient to determine the monitoring processing strategy corresponding to the other monitoring combinations.

[0043] Furthermore, the first monitoring processing strategy is to perform monitoring processing on the other monitoring combinations as a monitoring subject; The second monitoring processing strategy is to perform monitoring processing on the servers in the other monitoring combinations that are not in the target monitoring combination separately.

[0044] In one embodiment, the step S31 includes the following contents: S311 determines whether the associated monitoring combination has a similar monitoring combination by using the target similarity coefficient between the associated monitoring combinations, if so, proceeds to the next step, if not, determines that the associated monitoring combination is a target monitoring combination; S312 divides the associated monitoring combination and the similar monitoring combinations of the associated monitoring combination into the same deduplication processing group, and determines whether the monitoring demand coefficients of the similar monitoring combinations in the deduplication processing group are all smaller than the associated monitoring combination. If so, the associated monitoring combination is determined to be the target monitoring combination. If not, enter step S32.

[0045] Optionally, the above step S32 includes the following contents: S321 takes a similar monitoring combination whose monitoring requirement coefficient is greater than that of the associated monitoring combination as a screening similar monitoring combination, and determines whether there is a screening similar monitoring combination whose deviation from the monitoring requirement coefficient of the associated monitoring combination is not within a preset range, if so, proceeds to step S33, if not, proceeds to the next step; S322 determines the average value of the target similarity coefficients of different associated monitoring combinations based on the target similarity coefficients between the associated monitoring combinations in different deduplication processing groups and other associated monitoring combinations, and uses it as the average value of the similarity coefficients. The specificity of the associated monitoring combination is determined by using the average value of the similarity coefficients between the associated monitoring combination and the similar monitoring combination in the deduplication processing group to determine whether the specificity of the associated monitoring combination is greater than a preset specificity threshold. If so, the associated monitoring combination is determined to be the target monitoring combination. If not, proceed to step S33.

[0046] Example 2 In a second aspect, the present invention provides a computer system comprising: a memory and a processor that are communicatively connected, and a computer program stored in the memory and executable on the processor, wherein the processor executes the above-mentioned digital system operation monitoring and management method when executing the computer program.

[0047] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device, equipment, and non-volatile computer storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0048] The above is a description of a specific embodiment of the present specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0049] The above description is only one or more embodiments of this specification and is not intended to limit this specification. For those skilled in the art, one or more embodiments of this specification may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of one or more embodiments of this specification shall be included in the scope of the claims of this specification.

Claims

1. A digital system operation monitoring and management method, characterized in that: Specifically include: Based on the associated communication links and associated servers of the digital system, an operation monitoring combination is generated, and the target similarity coefficients between different operation monitoring combinations are determined through the similarities of the associated communication links and associated servers; Obtaining the target similarity coefficient between the operation monitoring combination and other operation monitoring combinations, and determining the monitoring demand coefficient of the operation monitoring combination and the alternative monitoring combinations in the operation monitoring combination in combination with the historical data volume of the digital system corresponding to the different operation monitoring combinations; The candidate monitoring combinations with overlapping associated servers are taken as associated monitoring combinations, the candidate monitoring combinations are deduplicated by using the target similarity coefficients between the associated monitoring combinations to obtain a target monitoring combination, and the operation monitoring processing of the target monitoring combination is performed according to a preset monitoring processing strategy; The other operating monitoring combinations except the target monitoring combination are regarded as other monitoring combinations, and the monitoring processing strategies corresponding to different other monitoring combinations are determined based on the target similarity coefficient between the other monitoring combinations and the target monitoring combination and the historical data volume of the other monitoring combinations.

2. The digital system operation monitoring and management method according to claim 1, characterized in that: The associated communication links and associated servers of the digitization system are determined based on the communication links and servers corresponding to the data flow during use of the digitization system.

3. The digital system operation monitoring and management method according to claim 1, characterized in that: The operation monitoring combination is constructed according to a combination of associated communication links and associated servers of different digital systems.

4. The digital system operation monitoring and management method according to claim 1, characterized in that: The method for determining the target similarity coefficient between the operation monitoring combinations is: Based on the similarity of the associated servers, the number of consistent associated servers between different operation monitoring combinations is determined, and the server similarity coefficient between the operation monitoring combinations is determined by multiplying the proportion of the number of the consistent associated servers in different operation monitoring combinations; Determine the same number of communication nodes in the associated communication links among different operation monitoring combinations according to the similarity of the associated communication links, and determine the link similarity coefficient between the operation monitoring combinations based on the product of the proportion of the same number of communication nodes in the different operation monitoring combinations; A target similarity coefficient between the operation monitoring combinations is determined based on the server similarity coefficient and the link similarity coefficient.

5. The digital system operation monitoring and management method according to claim 4, characterized in that: The target similarity coefficient between the operation monitoring combinations ranges from 0 to 1, wherein the larger the target similarity coefficient between the operation monitoring combinations is, the higher the similarity between the operation monitoring combinations is.

6. The digital system operation monitoring and management method according to claim 1, characterized in that: The historical data volume of the digital system includes the historical call times of the digital system and the flow data volume of the digital system with different historical call times.

7. The digital system operation monitoring and management method according to claim 1, characterized in that: The method for determining the target monitoring combination is: Determine similar monitoring combinations in the associated monitoring combinations by using target similarity coefficients between the associated monitoring combinations, and divide the associated monitoring combinations that are similar to each other into the same deduplication processing group; Determine the average of the target similarity coefficients of different associated monitoring combinations based on the target similarity coefficients between the associated monitoring combinations in different deduplication processing groups and other associated monitoring combinations, and use it as the average of the similarity coefficients; The deduplication priority coefficients of different associated monitoring combinations in different deduplication processing groups are determined by the similarity coefficient average value and the monitoring requirement coefficient, and the deduplication priority coefficients are used to determine the deduplication processing targets in the deduplication processing groups, and the associated monitoring combinations after deduplication processing are used as the target monitoring combinations.

8. The digital system operation monitoring and management method according to claim 7, characterized in that: Determining the deduplication processing target in the deduplication processing group by using the deduplication processing priority coefficient specifically includes: Excluding the associated monitoring combination with the smallest deduplication processing priority coefficient in the deduplication processing group, the other associated monitoring combinations are taken as deduplication processing targets.

9. The digital system operation monitoring and management method according to claim 1, characterized in that: The operation monitoring process of the target monitoring combination is performed according to the preset monitoring process strategy, specifically including: The target monitoring combination is taken as a monitoring subject, the data interaction between the nodes and the server in the communication link of the target monitoring combination is determined, and the monitoring processing result of the target monitoring combination is generated using the data interaction situation.

10. A computer system comprising: A memory and a processor that are communicatively connected, and a computer program stored in the memory and capable of running on the processor, characterized in that when the processor runs the computer program, a digital system operation monitoring and management method as described in any one of claims 1-9 is executed.

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