Information equipment health assessment method and system

Abstract

The present invention provides an information equipment health assessment method, which belongs to the technical field of status assessment, and specifically comprises: determining the data credibility of different communication traffic intervals and the trusted traffic intervals based on the distribution of historical communication traffic in different time periods of different communication traffic intervals, taking the trusted traffic intervals in the time periods where the network delay status values ​​do not meet the requirements as suspected problem traffic intervals, obtaining the number of suspected problem traffic spaces of different business types, and determining the problem business type in combination with the data credibility of different suspected problem traffic spaces and the network delay status values ​​of the suspected problem traffic intervals, determining the processing priority values ​​of different information devices based on the associated information devices of different problem business types, and determining the health of different information devices based on the processing priority values ​​and operation log data, thereby improving the efficiency of screening problem information devices.

Description

Technical Field

[0001] The present invention belongs to the technical field of status assessment, and in particular relates to an information equipment health assessment method and system. Background Art

[0002] With the informatization and intelligent upgrading of power enterprises, the number of information equipment in use has gradually increased, which has also made the operational reliability of information equipment increasingly important. Therefore, how to realize the evaluation of the operational health of information equipment has become a technical problem that needs to be solved urgently.

[0003] In existing technical solutions, the operating status is often evaluated through the historical operating data of information equipment. However, due to the large number of information equipment in the power system, the use of historical operating data to evaluate the operating status makes it impossible to efficiently evaluate the health of the information equipment in the power system, thereby making it difficult to meet the requirements of the power system's operating reliability.

[0004] In response to the above technical problems, the present invention provides an information equipment health assessment method and system. Summary of the invention

[0005] To achieve the purpose of the present invention, the present invention adopts the following technical solutions:

[0006] According to one aspect of the present invention, a method for evaluating the health of information equipment is provided.

[0007] A method for evaluating the health of information equipment, characterized by comprising:

[0008] S1 divides different time periods into different communication flow intervals based on the historical communication flow of different business types of the power enterprise in different time periods, and determines the data credibility of different communication flow intervals and the credible flow intervals based on the distribution of the historical communication flow of different time periods in different communication flow intervals;

[0009] S2 determines the network delay status values ​​of different time periods through the network delay data at different times in different time periods of the trusted traffic interval, and when there is a time period in which the network delay status value does not meet the requirements, proceeds to the next step;

[0010] S3 uses the trusted traffic intervals in the time period where the network delay status value does not meet the requirements as the suspected problem traffic intervals, obtains the number of suspected problem traffic spaces of different business types, and determines the problem business type based on the data credibility of different suspected problem traffic spaces and the network delay status value of the suspected problem traffic intervals;

[0011] S4 determines the processing priority values ​​of different information devices based on the information devices associated with different problem business types, and determines the health of different information devices based on the processing priority values ​​and operation log data.

[0012] A further technical solution is that the business types are divided according to the business application scenarios of the power enterprise, specifically including power dispatching, equipment operation data monitoring, fault monitoring, and operation and maintenance management.

[0013] A further technical solution is to divide different time periods into different communication flow intervals, including:

[0014] The matching communication flow intervals of different time periods are determined by using the deviations between the historical communication flow of different time periods and the reference communication flow of different communication flow intervals, and the different time periods are divided into different communication flow intervals based on the matching communication flow intervals.

[0015] A further technical solution is that the basic weight value of the associated problem business type is determined according to the importance of the associated problem business type to the power enterprise, and is specifically determined by a preset weight value.

[0016] A further technical solution is that the health of the information device is determined based on the analysis results of the operation log data of the information device, and specifically based on the network delay data in the analysis results.

[0017] On the other hand, the present invention provides an information equipment health evaluation system, which adopts the above-mentioned information equipment health evaluation method, and is characterized in that it specifically includes:

[0018] Credibility assessment module, network delay assessment module, service type determination module, health output module;

[0019] The credibility assessment module is responsible for dividing different time periods into different communication flow intervals based on the historical communication flow of different business types of the power enterprise in different time periods, and determining the data credibility of different communication flow intervals and the credible flow intervals based on the distribution of historical communication flow in different time periods of different communication flow intervals;

[0020] The network delay evaluation module is responsible for determining the network delay status values ​​of different time periods through the network delay data at different times in different time periods of the trusted traffic interval;

[0021] The service type determination module is responsible for taking the credible traffic interval of the time period in which the network delay status value does not meet the requirements as the suspected problem traffic interval, obtaining the number of suspected problem traffic spaces of different service types, and determining the problem service type based on the data credibility of different suspected problem traffic spaces and the network delay status value of the suspected problem traffic interval;

[0022] The health output module is responsible for determining the processing priority values ​​of different information devices based on the associated information devices of different problem business types, and determining the health of different information devices based on the processing priority values ​​and operation log data.

[0023] The beneficial effects of the present invention are:

[0024] 1. The data credibility of different communication flow intervals is determined based on the distribution of historical communication flow in different time periods of different communication flow intervals. Not only the number of time periods of the communication flow interval is taken into consideration, but also the similarity of historical communication flow in the time periods of the communication flow interval is fully considered by further combining the distribution of historical communication flow between the time periods of the communication flow interval, thereby achieving data credibility for different communication flow intervals.

[0025] 2. By determining the processing priority values ​​of different information devices based on the associated information devices of different problem business types, it is possible to screen out information devices with a higher probability of failure from the perspective of problem business types, avoiding the technical problem of low evaluation efficiency caused by the large number of original information devices, and improving the reliability of information equipment operation.

[0026] 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.

[0027] 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

[0028] 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.

[0029] Figure 1 is a flow chart of a method for evaluating the health of information equipment;

[0030] Figure 2 is a flow chart of a method for determining data credibility of a communication flow interval;

[0031] Figure 3 The present invention is a flowchart of a method for determining a problem business type. DETAILED DESCRIPTION

[0032] 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.

[0033] 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.

[0034] Example 1

[0035] To solve the above problems, according to one aspect of the present invention, Figure 1 According to one aspect of the present invention, a method for evaluating the health of information equipment is provided, which is characterized by specifically comprising:

[0036] S1 divides different time periods into different communication flow intervals based on the historical communication flow of different business types of the power enterprise in different time periods, and determines the data credibility of different communication flow intervals and the credible flow intervals based on the distribution of the historical communication flow of different time periods in different communication flow intervals;

[0037] Furthermore, the business types are divided according to the business application scenarios of the power enterprise, specifically including power dispatching, equipment operation data monitoring, fault monitoring, and operation and maintenance management.

[0038] It should be noted that different time periods are divided into different communication traffic intervals, including:

[0039] The matching communication flow intervals of different time periods are determined by using the deviations between the historical communication flow of different time periods and the reference communication flow of different communication flow intervals, and the different time periods are divided into different communication flow intervals based on the matching communication flow intervals.

[0040] Specific examples, such as Figure 2 As shown, the method for determining the data credibility of the communication flow interval is:

[0041] Determining the reference credibility of the communication flow interval by the number of time periods of the communication flow interval;

[0042] Determine the traffic similarity of different time periods according to the deviation between the historical communication traffic of different time periods and the benchmark communication traffic of the communication traffic interval, and determine the number of consistent time periods in the communication traffic interval based on the traffic similarity;

[0043] The number of consistent time periods and the traffic similarity of the consistent time periods in the communication traffic interval are obtained, and the reference credibility is corrected in combination with the mean of the traffic similarity of different time periods in the communication traffic interval to obtain the data credibility of the communication traffic interval.

[0044] Furthermore, the data credibility of the communication traffic interval ranges from 0 to 1, wherein when the data credibility of the communication traffic interval is greater than a preset credibility threshold, the communication traffic interval is determined to be a credible traffic interval.

[0045] In another possible embodiment, the method for determining the data credibility of the communication flow interval is:

[0046] S11 determines the reference credibility of the communication flow interval by the number of time periods of the communication flow interval, and judges whether the communication reference credibility meets the requirement, if so, proceeds to the next step, if not, determines that the communication flow interval does not belong to the trusted flow interval;

[0047] S12 determines the traffic similarity of different time periods according to the deviation between the historical communication traffic of different time periods and the benchmark communication traffic of the communication traffic interval, and determines the number of consistent time periods in the communication traffic interval based on the traffic similarity, and judges whether the number of consistent time periods in the communication traffic interval meets the requirement, if yes, proceeds to step S14, if not, proceeds to the next step;

[0048] S13 obtains the number of consistent time periods in the communication flow interval and the flow similarity of the consistent time periods, and determines the flow distribution similarity of the communication flow interval in combination with the mean of the flow similarities of different time periods in the communication flow interval, and judges whether the flow distribution similarity of the communication flow interval meets the requirements based on the communication reference credibility, if yes, proceeds to the next step, if not, determines that the communication flow interval does not belong to the trusted flow interval;

[0049] S14 determines the credibility correction factor of the communication traffic interval based on the traffic distribution similarity of the communication traffic interval, and corrects the reference credibility by the credibility correction factor to obtain the data credibility of the communication traffic interval.

[0050] Further, judging whether the traffic distribution similarity of the communication traffic interval meets the requirement based on the communication reference credibility specifically includes:

[0051] The communication reference credibility of the communication flow interval is used to determine the distribution similarity threshold of the communication flow interval, and based on the distribution similarity threshold, it is judged whether the flow distribution similarity of the communication flow interval meets the requirement.

[0052] In another possible embodiment, the method for determining the data credibility of the communication flow interval is:

[0053] Determine the reference credibility of the communication flow interval by the number of time periods of the communication flow interval, judge whether the reference credibility is greater than the preset credibility, if so, determine that the communication flow interval is a credible flow interval, and determine the data credibility of the communication flow interval according to the reference credibility, if not, proceed to the next step;

[0054] When the reference credibility is not within the preset credibility interval, it is determined that the communication flow interval does not belong to the trusted flow interval;

[0055] When the reference credibility is within a preset credibility interval, the distribution similarity threshold of the communication flow interval is determined according to the reference credibility, and the flow similarity of different time periods is determined according to the deviation between the historical communication flow of different time periods and the reference communication flow of the communication flow interval;

[0056] Obtain the number of consistent time periods in the communication flow interval and the flow similarity of the consistent time periods, and determine the flow distribution similarity of the communication flow interval in combination with the average of the flow similarities of different time periods in the communication flow interval, and judge whether the flow distribution similarity of the communication flow interval meets the requirements based on the distribution similarity threshold, if yes, proceed to the next step, if not, determine that the communication flow interval does not belong to the trusted flow interval;

[0057] The credibility correction factor of the communication traffic interval is determined based on the traffic distribution similarity of the communication traffic interval, and the base credibility is corrected by the credibility correction factor to obtain the data credibility of the communication traffic interval.

[0058] S2 determines the network delay status values ​​of different time periods through the network delay data at different times in different time periods of the trusted traffic interval, and when there is a time period in which the network delay status value does not meet the requirements, proceeds to the next step;

[0059] Specifically, the method for determining the network delay status value during the time period is as follows:

[0060] The network delay amount and the network delay time at different times are determined through the network delay data at different times within the time period, and the network delay state value of the time period is determined according to the number of network delay times and the network delay amount at the network delay times.

[0061] Further, when the network delay status value of the time period is greater than a preset delay limit value, it is determined that the network delay status value of the time period does not meet the requirement.

[0062] S3 uses the trusted traffic intervals in the time period where the network delay status value does not meet the requirements as the suspected problem traffic intervals, obtains the number of suspected problem traffic spaces of different business types, and determines the problem business type based on the data credibility of different suspected problem traffic spaces and the network delay status value of the suspected problem traffic intervals;

[0063] Specific examples, such as Figure 3 As shown, the method for determining the problem business type is:

[0064] Determine the problem assessment amount of different suspected problem traffic intervals by using the data credibility and network delay status values ​​of different suspected problem traffic intervals;

[0065] The type problem assessment amounts of different business types are determined by the problem assessment amounts of the suspected problem traffic intervals and the number of suspected problem traffic spaces, and the type problem assessment amounts are used to determine the problem business types in the business types.

[0066] In another possible embodiment, the method for determining the problem service type is:

[0067] S21 determines whether the service type has a suspected problem traffic interval, if so, proceeds to the next step, if not, determines that the service type does not belong to the problem service type;

[0068] S22 obtains the number of suspected problem traffic intervals in the service type, and determines whether the number of suspected problem traffic intervals in the service type is less than the preset number of intervals. If so, proceed to the next step; if not, proceed to step S24

[0069] S23 determines the problem assessment amount of different suspected problem traffic intervals by using the data credibility and network delay status value of different suspected problem traffic intervals, and determines whether there is a suspected problem traffic interval whose problem assessment amount does not meet the requirements. If so, proceed to the next step; if not, determine that the service type does not belong to the problem service type;

[0070] S24: taking the suspected problem traffic interval whose problem evaluation amount does not meet the requirement as the problem traffic interval, and judging whether the number of the problem traffic intervals in the service type is greater than the preset number of problem intervals; if so, determining that the service type is a problem service type; if not, proceeding to the next step;

[0071] S25 obtains the problem assessment amount of the suspected problem traffic interval and the number of suspected problem traffic spaces of the business type, and determines the type problem assessment amount of different business types in combination with the number of problem traffic intervals of the business type, and uses the type problem assessment amount to determine the problem business type in the business type.

[0072] In another possible embodiment, the method for determining the problem service type is:

[0073] When there is no suspected problem traffic interval for the service type: determining that the service type does not belong to the problem service type;

[0074] When there is a suspected problematic traffic interval in the service type:

[0075] When the number of suspected problem traffic intervals in the service type does not meet the requirement, it is determined that the service type belongs to the problem service type;

[0076] When the number of suspected problem traffic intervals in the business type meets the requirement, the trusted traffic intervals are screened based on the data credibility of the suspected problem traffic intervals, and it is judged whether the number of the screened trusted traffic intervals meets the requirement. If so, proceed to the next step; if not, it is determined that the business type belongs to the problem business type;

[0077] Determine the problem assessment amount of different suspected problem traffic intervals by using the data credibility and network delay status values ​​of different suspected problem traffic intervals, take the suspected problem traffic intervals whose problem assessment amount does not meet the requirements as the problem traffic intervals, and judge whether the number of the problem traffic intervals meets the requirements. If so, proceed to the next step; if not, determine that the service type belongs to the problem service type;

[0078] Obtain the problem assessment amount of the suspected problem traffic interval and the number of suspected problem traffic spaces of the business type, and determine the type problem assessment amount of different business types based on the number of problem traffic intervals of the business type, and use the type problem assessment amount to determine the problem business type in the business type.

[0079] In another possible embodiment, the method for determining the problem service type is:

[0080] When the service type does not have a suspected problematic traffic interval: determining that the service type does not belong to a problematic service type;

[0081] When there is a suspected problematic traffic interval in the service type:

[0082] When the number of suspected problem traffic intervals in the service type does not meet the requirement, it is determined that the service type belongs to the problem service type;

[0083] When the number of suspected problem traffic intervals in the service type meets the requirement, determine whether there is a suspected problem traffic interval whose data credibility is greater than the preset interval credibility. If so, proceed to the next step. If not, determine that the service type does not belong to the problem service type.

[0084] Determine whether the number of suspected problem traffic intervals whose data credibility is greater than the preset interval credibility is greater than the interval quantity threshold, if so, determine that the service type belongs to the problem service type, if not, proceed to the next step;

[0085] The problem assessment amounts of different suspected problem traffic intervals are determined by using the data credibility and network delay status values ​​of different suspected problem traffic intervals, and the suspected problem traffic intervals whose problem assessment amounts do not meet the requirements are regarded as problem traffic intervals;

[0086] Obtain the problem assessment amount of the suspected problem traffic interval and the number of suspected problem traffic spaces of the business type, and determine the type problem assessment amount of different business types based on the number of problem traffic intervals of the business type, and use the type problem assessment amount to determine the problem business type in the business type.

[0087] S4 determines the processing priority values ​​of different information devices based on the information devices associated with different problem business types, and determines the health of different information devices based on the processing priority values ​​and operation log data.

[0088] Specifically, the method for determining the processing priority value of the information device is:

[0089] Acquire the problem business type associated with the information device and use it as the associated problem business type;

[0090] The processing priority value of the information device is determined according to the number of associated problem business types of the information device and the basic weight values ​​of different associated problem business types.

[0091] Furthermore, the basic weight value of the associated problem business type is determined according to the importance of the associated problem business type to the power enterprise, and is specifically determined by a preset weight value.

[0092] Specifically, the health of the information device is determined based on the analysis results of the operation log data of the information device, and specifically based on the network delay data in the analysis results.

[0093] It should also be noted that the order of evaluating the health of different information devices is determined based on the processing priority value.

[0094] Example 2

[0095] On the other hand, the present invention provides an information equipment health evaluation system, which adopts the above-mentioned information equipment health evaluation method, and is characterized in that it specifically includes:

[0096] Credibility assessment module, network delay assessment module, service type determination module, health output module;

[0097] The credibility assessment module is responsible for dividing different time periods into different communication flow intervals based on the historical communication flow of different business types of the power enterprise in different time periods, and determining the data credibility of different communication flow intervals and the credible flow intervals based on the distribution of historical communication flow in different time periods of different communication flow intervals;

[0098] The network delay evaluation module is responsible for determining the network delay status values ​​of different time periods through the network delay data at different times in different time periods of the trusted traffic interval;

[0099] The service type determination module is responsible for taking the credible traffic interval of the time period in which the network delay status value does not meet the requirements as the suspected problem traffic interval, obtaining the number of suspected problem traffic spaces of different service types, and determining the problem service type based on the data credibility of different suspected problem traffic spaces and the network delay status value of the suspected problem traffic interval;

[0100] The health output module is responsible for determining the processing priority values ​​of different information devices based on the associated information devices of different problem business types, and determining the health of different information devices based on the processing priority values ​​and operation log data.

[0101] Based on the above embodiments, the present application achieves the following beneficial effects:

[0102] 1. The data credibility of different communication flow intervals is determined based on the distribution of historical communication flow in different time periods of different communication flow intervals. Not only the number of time periods of the communication flow interval is taken into consideration, but also the similarity of historical communication flow in the time periods of the communication flow interval is fully considered by further combining the distribution of historical communication flow between the time periods of the communication flow interval, thereby achieving data credibility for different communication flow intervals.

[0103] 2. By determining the processing priority values ​​of different information devices based on the associated information devices of different problem business types, it is possible to screen out information devices with a higher probability of failure from the perspective of problem business types, avoiding the technical problem of low evaluation efficiency caused by the large number of original information devices, and improving the reliability of information equipment operation.

[0104] 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.

[0105] The above is a description of a specific embodiment of the 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.

[0106] 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 method for evaluating the health of information equipment, characterized in that: Specifically include: Based on the historical communication traffic of different business types of the power enterprise in different time periods, different time periods are divided into different communication traffic intervals, and the data credibility of different communication traffic intervals and the determination of the credible traffic intervals are performed based on the distribution of the historical communication traffic of different time periods in different communication traffic intervals; Determine the network delay status values ​​of different time periods by using the network delay data at different times in different time periods of the trusted traffic interval, and proceed to the next step when there is a time period in which the network delay status value does not meet the requirements; The trusted traffic intervals in the time periods where the network delay status values ​​do not meet the requirements are used as suspected problem traffic intervals, the number of suspected problem traffic intervals of different service types is obtained, and the problem service types are determined based on the data credibility of different suspected problem traffic intervals and the network delay status values ​​of the suspected problem traffic intervals; The processing priority values ​​of different information devices are determined based on the information devices associated with different problem business types, and the evaluation order of the health of different information devices is determined based on the processing priority values ​​of different information devices. The health of different information devices is determined using the evaluation order and operation log data.

2. The information equipment health evaluation method according to claim 1, characterized in that: The business types are divided according to the business application scenarios of the power enterprise, specifically including power dispatching and equipment operation data monitoring and fault monitoring and operation and maintenance management.

3. The information equipment health evaluation method according to claim 1, characterized in that: Divide different time periods into different communication flow intervals, including: The matching communication flow intervals of different time periods are determined by using the deviations between the historical communication flow of different time periods and the reference communication flow of different communication flow intervals, and the different time periods are divided into different communication flow intervals based on the matching communication flow intervals.

4. The information equipment health assessment method according to claim 1, characterized in that: The method for determining the data credibility of the communication flow interval is: Determining the reference credibility of the communication flow interval by the number of time periods of the communication flow interval; Determine the traffic similarity of different time periods according to the deviation between the historical communication traffic of different time periods and the benchmark communication traffic of the communication traffic interval, and determine the number of consistent time periods in the communication traffic interval based on the traffic similarity; The number of consistent time periods and the traffic similarity of the consistent time periods in the communication traffic interval are obtained, and the reference credibility is corrected in combination with the mean of the traffic similarity of different time periods in the communication traffic interval to obtain the data credibility of the communication traffic interval.

5. The information equipment health evaluation method according to claim 4, characterized in that: The data credibility of the communication traffic interval ranges from 0 to 1, wherein when the data credibility of the communication traffic interval is greater than a preset credibility threshold, the communication traffic interval is determined to be a credible traffic interval.

6. The information equipment health assessment method according to claim 1, characterized in that: The method for determining the network delay status value of the time period is: The network delay amount and the network delay time at different times are determined through the network delay data at different times within the time period, and the network delay state value of the time period is determined according to the number of network delay times and the network delay amount at the network delay times.

7. The information equipment health evaluation method according to claim 1, characterized in that: When the network delay status value of the time period is greater than a preset delay limit value, it is determined that the network delay status value of the time period does not meet the requirement.

8. The information equipment health assessment method according to claim 1, characterized in that: The method for determining the problem business type is: Determine the problem assessment amount of different suspected problem traffic intervals by using the data credibility and network delay status values ​​of different suspected problem traffic intervals; The type problem assessment amounts of different business types are determined by the problem assessment amounts of the suspected problem traffic intervals and the number of suspected problem traffic intervals, and the type problem assessment amounts are used to determine the problem business types in the business types.

9. The information equipment health assessment method according to claim 1, characterized in that: The method for determining the processing priority value of the information device is: Acquire the problem business type associated with the information device and use it as the associated problem business type; The processing priority value of the information device is determined according to the number of associated problem business types of the information device and the basic weight values ​​of different associated problem business types.

10. An information equipment health evaluation system, using an information equipment health evaluation method according to any one of claims 1 to 9, characterized in that: Specifically include: Credibility assessment module, network delay assessment module, service type determination module, health output module; The credibility assessment module is responsible for dividing different time periods into different communication flow intervals based on the historical communication flow of different business types of the power enterprise in different time periods, and determining the data credibility of different communication flow intervals and the credible flow intervals based on the distribution of historical communication flow in different time periods of different communication flow intervals; The network delay evaluation module is responsible for determining the network delay status values ​​of different time periods through the network delay data at different times in different time periods of the trusted traffic interval; The service type determination module is responsible for taking the credible traffic interval in the time period where the network delay status value does not meet the requirements as the suspected problem traffic interval, obtaining the number of suspected problem traffic intervals of different service types, and determining the problem service type based on the data credibility of different suspected problem traffic intervals and the network delay status value of the suspected problem traffic interval; The health output module is responsible for determining the processing priority values ​​of different information devices based on the associated information devices of different problem business types, and determining the evaluation order of the health of different information devices based on the processing priority values ​​of different information devices, and determining the health of different information devices using the evaluation order and operation log data.

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