Optical cable line channel health degree assessment method for electric power communication network

Abstract

The invention provides an optical cable line channel health degree assessment method for an electric power communication network, and belongs to the technical field of health degree assessment, and the method specifically comprises the steps: determining the bearing conditions of communication data of different service types in different time periods according to the analysis results of the bearing communication data of an optical cable line in different time periods, and determining the health degree of the optical cable line channel through the bearing conditions. Determining matching bearing time periods of different service types, determining distribution change data of the matching bearing time periods of the service types on different dates, and determining health degree evaluation strategies of different service types of the optical cable line in combination with distribution data of problem communication equipment in associated communication equipment of the service types, and the channel health degree of the optical cable line is evaluated by using the health degree evaluation strategy, so that the evaluation efficiency of the channel health degree of the optical cable line is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of health assessment, and in particular relates to a method for assessing the health of an optical cable line channel for a power communication network. Background Art

[0002] The operational reliability of the power communication network is crucial to the operational safety and monitoring reliability of the power system. Among them, optical cable lines are the core basic equipment of the power communication network. How to evaluate the health of optical cable line channels has become a technical problem that needs to be solved urgently.

[0003] Specifically, in the invention patent application CN109495332A "A method for evaluating and analyzing the health status of a power communication network", the health of the equipment, optical cables and network architecture in the network is calculated, and the fault duration, fault frequency and grid redundancy are calculated using the health, so as to evaluate the impact of the faults in the network on the network system. However, the existing technical solutions have the following technical problems: When evaluating the channel health of optical cable lines, due to the deviations in the application scenarios of different optical cable lines, the degree of impact on the operating reliability of the power system when health risks occur also has a certain degree of deviation. Therefore, how to generate differentiated health assessment and processing strategies based on the application scenarios of optical cable lines has become a technical problem that needs to be solved urgently.

[0004] In response to the above technical problems, the present application specifically provides a method for evaluating the health of an optical cable line channel for a power communication network. Summary of the invention

[0005] To achieve the purpose of the present invention, the present invention adopts the following technical solutions: Specifically, the present application provides a method for evaluating the health of an optical cable line channel for a power communication network, which specifically includes: S1 determines that when the failure risk of the optical cable line meets the requirement based on the historical failure data of the optical cable line of the power communication network, proceed to the next step; S2 determines the concerned fault type among the fault types based on the deviation of the communication data carried by the optical cable line corresponding to different historical fault times of different fault types, and determines the communication device associated with the concerned fault type as the problematic communication device of the communication device in the optical cable line; S3, based on the analysis results of the communication data carried by the optical cable line in different time periods, determining the carrying conditions of communication data of different service types in different time periods, and determining matching carrying time periods of different service types by using the carrying conditions; S4 determines the distribution change data of the matching bearing period of the service type on different dates, and determines the health assessment strategy of different service types of the optical cable line in combination with the distribution data of the problem communication device in the associated communication device of the service type, and uses the health assessment strategy to evaluate the channel health of the optical cable line.

[0006] The beneficial effects of the present invention are: Based on the deviation of the communication data carried by the optical cable line corresponding to different historical fault times for different fault types, the fault types of concern among the fault types are determined, thereby realizing the diversity of the communication data carried by the optical cable line when faults occur in different fault types, and screening of the fault types of concern with large changes in the communication data carried, that is, screening of the fault types of concern with large changes in fault scenarios, which also lays a foundation for the screening of communication equipment for differentiated health assessment processing.

[0007] The health assessment strategy for different service types of the optical cable line is determined based on the distribution change data of the matching bearer period on different dates and the distribution data of the problem communication equipment in the associated communication equipment of the service type. This not only takes into account the changes in the operating time periods of the service types on different dates caused by the distribution change data of the matching bearer period on different dates, and realizes a comprehensive assessment of the degree of change in the operating data of the service types, but also takes into account the difference in the accuracy of the health assessment of the service types caused by only taking the problem communication equipment as the health assessment target due to the composition data of the problem communication equipment. This ensures the accuracy of the health assessment results for service types with a high degree of change and a small proportion of problem communication equipment, and also improves the efficiency of the health assessment processing.

[0008] A further technical solution is that the historical fault data of the optical cable line includes the number of historical faults of the optical cable line on different dates and the positions of the optical cable line at which the historical faults are located.

[0009] A further technical solution is to determine whether the failure risk of the optical cable line meets the requirements, specifically including: Determine the number of historical failures of the optical cable line on different dates based on the analysis results of the historical failure data of the optical cable line; Determining a failure risk date in the optical cable line based on the number of historical failures of the optical cable line on different dates; Whether the failure risk of the optical cable line meets the requirement is determined based on the quantity ratio of the failure risk dates.

[0010] A further technical solution is to use the health assessment strategy to evaluate the channel health of the optical cable line, specifically including: Determining a target for the channel health of the optical cable line using the health assessment strategy; The target delay and fault conditions are used as input quantities, and a preset model is used to determine an evaluation result of the channel health of the optical cable line.

[0011] A further technical solution is that the evaluation results of the channel health of the optical cable line include normal, abnormal and suspected abnormal.

[0012] A further technical solution is that the preset model is constructed using one or more of a BP neural network, a CNN convolutional neural network and a RNN neural network.

[0013] 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.

[0014] 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

[0015] 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.

[0016] Figure 1 It is a flow chart of a method for evaluating the health of an optical cable line channel for a power communication network; Figure 2 is a flow chart for determining whether the failure risk of the optical cable line meets the requirements; Figure 3 The present invention is a flowchart of a method for determining a failure type of interest among failure types. DETAILED DESCRIPTION

[0017] 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.

[0018] 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.

[0019] Example 1 To solve the above problems, according to one aspect of the present invention, Figure 1 As shown, a method for evaluating the health of an optical cable line channel for a power communication network is provided, which specifically includes: S1 determines that when the failure risk of the optical cable line meets the requirement based on the historical failure data of the optical cable line of the power communication network, proceed to the next step; S2 determines the concerned fault type among the fault types based on the deviation of the communication data carried by the optical cable line corresponding to different historical fault times of different fault types, and determines the communication device associated with the concerned fault type as the problematic communication device of the communication device in the optical cable line; S3, based on the analysis results of the communication data carried by the optical cable line in different time periods, determining the carrying conditions of communication data of different service types in different time periods, and determining matching carrying time periods of different service types by using the carrying conditions; S4 determines the distribution change data of the matching bearing period of the service type on different dates, and determines the health assessment strategy of different service types of the optical cable line in combination with the distribution data of the problem communication device in the associated communication device of the service type, and uses the health assessment strategy to evaluate the channel health of the optical cable line.

[0020] Furthermore, the historical fault data of the optical cable line includes the number of historical faults of the optical cable line on different dates and the positions of the optical cable line at which the historical faults occurred.

[0021] Specifically, Figure 2 As shown, determining whether the failure risk of the optical cable line meets the requirements specifically includes: Determine the number of historical failures of the optical cable line on different dates based on the analysis results of the historical failure data of the optical cable line; Determining a failure risk date in the optical cable line based on the number of historical failures of the optical cable line on different dates; Whether the failure risk of the optical cable line meets the requirement is determined based on the quantity ratio of the failure risk dates.

[0022] It should be noted that the failure risk date is the date when the number of historical failures does not meet the requirements.

[0023] It can be understood that when the proportion of the number of fault risk dates is greater than the proportion of the number of preset dates, it is determined that the fault risk of the optical cable line does not meet the requirements.

[0024] Furthermore, when the failure risk of the optical cable line does not meet the requirement, a preset evaluation strategy is used to evaluate the channel health of the optical cable line.

[0025] Specifically, the preset evaluation strategy is to target all communication devices in the optical cable line and perform an evaluation process on the channel health of the optical cable line.

[0026] It should be further explained that, taking all the communication devices in the optical cable line as the target, the channel health evaluation process of the optical cable line is performed, which specifically includes: Based on the historical communication data of the communication device, determining the delay and failure conditions of the communication device during the processing of the historical communication data; Based on the delay conditions and fault conditions of different communication devices as input quantities, a preset model is used to determine the evaluation processing result of the channel health of the optical cable line.

[0027] Furthermore, the fault types include frame loss, data processing delay, communication equipment downtime and data distortion.

[0028] It should be noted that the service data carried by the optical cable line includes the communication data volume of different service types carried by the optical cable line.

[0029] Specifically, Figure 3 As shown, the method for determining the concerned fault type among the fault types is: Based on the carried service data of the optical cable line corresponding to different historical fault times of the fault type, determining the communication data volume of different service types carried by the optical cable line in different historical fault times of the fault type; Based on the deviation of the communication data volume of different service types carried by the optical cable line between different historical fault times, the service data deviation coefficient between different historical fault times is determined by using the deviation; Based on the business data deviation coefficients between different historical fault times, the sum of the business data deviation coefficients between different historical fault times is determined and used as the data deviation value. Based on the data deviation value, it is determined whether the fault type is a concerned fault type.

[0030] Furthermore, the business data deviation coefficient is an average value of deviation coefficients of communication data volumes of different business types between different historical failure times.

[0031] Optionally, the deviation coefficient is determined according to a ratio of a deviation amount of the communication data volume of the service type to a communication data volume of the historical failure times.

[0032] It should be noted that when the data deviation value is greater than a preset deviation threshold, the fault type is determined to be a concern fault type.

[0033] It can be understood that the communication devices associated with the concerned fault type are communication devices that have failed with the concerned fault type in different historical fault times.

[0034] In another possible embodiment, a method for determining a concerned fault type among the fault types is: Obtaining the number of historical faults of the fault type, and when the number of historical faults of the fault type does not meet the requirement, determining that the fault type is a concerned fault type; When the number of historical faults of the fault type meets the requirement: Based on the bearer service data of the optical cable line corresponding to different historical fault times of the fault type, determine the communication data volume carried by the optical cable line in different historical fault times of the fault type, and use the average value of the communication data volume carried by the optical cable line in different historical fault times of the fault type as the benchmark data volume; when the historical fault times that do not meet the requirements of the deviation from the benchmark data volume are greater than a preset fault times threshold, determine that the fault type is a concern fault type; When the deviation from the benchmark data volume does not meet the requirement and the number of historical failures is not greater than the preset failure number threshold: Determine the communication data volume of different service types in different historical fault times, and use the average value of the communication data volume carried by the optical cable line of the service type in different historical fault times based on the fault type as the benchmark data volume of the service type; when there is a service type whose historical fault times do not meet the requirements and is greater than a preset fault times threshold, the fault type is determined to be a concern fault type; When there is no deviation from the benchmark data volume of the service type and the service type does not meet the requirements and the number of historical failures is greater than the preset failure number threshold: Based on the deviation of the communication data volume of different service types carried by the optical cable line between different historical fault times, the service data deviation coefficient between different historical fault times is determined by using the deviation situation, and the deviation coefficient evaluation amount of different historical fault times is determined based on the service deviation coefficient between other historical fault times. When the deviation coefficient evaluation amount does not meet the requirement for the historical fault times within the preset deviation amount interval, the fault type is determined to be a concerned fault type; When the number of historical failures within the preset deviation range of the deviation coefficient evaluation value meets the requirements: Based on the business data deviation coefficients between different historical fault times, the sum of the business data deviation coefficients between different historical fault times is determined and used as the data deviation value. Based on the data deviation value, it is determined whether the fault type is a concerned fault type.

[0035] Specifically, the method for determining the matching bearer period of the service type is: According to the carrying condition of the communication data of the service type in the time period, determine the time when the communication data of the service type exists in the time period, and use it as the data carrying time; Determining the bearer association coefficients of different data bearing moments based on the data volume proportion of the communication data of the service type at different data bearing moments; The time period correlation coefficient between the time period and the service type is determined according to the sum of the bearer correlation coefficients of different data bearer moments, and the time period correlation coefficient is used to determine whether the time period is a matching bearer time period.

[0036] Furthermore, the matching bearing period is a period whose period correlation coefficient is greater than a preset correlation coefficient threshold.

[0037] It should be noted that the distribution change data of the matching bearer time periods on different dates include changes in the corresponding time periods of the matching bearer time periods on different dates.

[0038] It can be understood that the associated communication equipment of the service type is the communication equipment in the optical cable line required to be used during the operation of the service type.

[0039] Specifically, the method for determining the health assessment strategy of the business type is: Determining the matching bearer time periods of the service type on different dates based on the distribution data of the matching bearer time periods of the service type on different dates; Determine a bearer time period change date in the date based on the change of the matching bearer time periods between different adjacent dates; According to the proportion of the number of change dates of the bearing period and the proportion of the number of problematic communication devices in the associated communication devices of the service type, the health assessment requirement coefficient of the associated communication devices of the service type is determined, and the health assessment strategy of the service type is determined using the health assessment requirement coefficient.

[0040] Further, the bearer period change date is a date on which the change amount of the matching bearer period of an adjacent date does not meet the requirement.

[0041] It should also be noted that the health assessment requirement coefficient of the associated communication device is determined according to the ratio of the number of change dates of the bearer period to the number of problem communication devices in the associated communication devices of the service type.

[0042] It should be noted that the health assessment strategy for the service type is determined by using the health assessment requirement coefficient, specifically including: When the health evaluation requirement coefficient is greater than a preset requirement coefficient threshold, the associated communication device of the service type is taken as a target to perform an evaluation process on the channel health of the optical cable line; When the health evaluation requirement coefficient is not greater than a preset requirement coefficient threshold, the problematic communication device among the associated communication devices of the service type is taken as a target to perform an evaluation process on the channel health of the optical cable line.

[0043] Optionally, the method for determining the health assessment strategy of the service type is: S41 determines the matching bearer time periods of the service type on different dates based on the distribution data of the matching bearer time periods of the service type on different dates, and determines the bearer time period variation coefficient of the service type in combination with the variation of the matching bearer time periods between different adjacent dates; S42 obtains the number ratio of problem communication devices in the associated communication devices of the service type in the historical operation process, and determines the problem device matching coefficient of the service type based on the operation time in different number ratio intervals; S43 determines the health assessment requirement coefficient of the associated communication device of the service type based on the bearing period variation coefficient and the problem device matching coefficient, and determines the health assessment strategy of the service type using the health assessment requirement coefficient.

[0044] Optionally, the health assessment requirement coefficient of the associated communication device of the service type is the ratio of the bearing period variation coefficient to the problem device matching coefficient.

[0045] Further, the health assessment strategy is used to assess the channel health of the optical cable line, specifically including: Determining a target for the channel health of the optical cable line using the health assessment strategy; The target delay and fault conditions are used as input quantities, and a preset model is used to determine an evaluation result of the channel health of the optical cable line.

[0046] Specifically, the evaluation results of the channel health of the optical cable line include normal, abnormal, and suspected abnormal.

[0047] It should be further explained that the preset model is constructed using one or more of a BP neural network, a CNN convolutional neural network, and a RNN neural network.

[0048] Example 2 Optionally, determining whether the failure risk of the optical cable line meets the requirement specifically includes: Determine the total number of historical failures of the optical cable line based on the analysis result of the historical failure data of the optical cable line, and when the total number of historical failures of the optical cable line does not meet the requirement, determine that the failure risk of the optical cable line does not meet the requirement; When the total number of historical faults of the optical cable line meets the requirements: When the number of historical failures of the optical cable line is within a preset failure number interval, it is determined that the failure risk of the optical cable line meets the requirement; When the historical fault number of the optical cable line is not within the preset fault number range: The number of historical failures of the optical cable line on different dates is determined based on the analysis results of the historical failure data of the optical cable line. When the proportion of the number of dates of the historical failure data does not meet the requirements, it is determined that the failure risk of the optical cable line does not meet the requirements. When the percentage of dates with historical fault data meets the requirement: When determining that there is a failure risk date in the optical cable line based on the number of historical failures of the optical cable line on different dates, the number of the failure risk dates is obtained, and when the number of the failure risk dates does not meet the requirement, it is determined that the failure risk of the optical cable line does not meet the requirement; When the number of failure risk dates meets the requirement: Determine a risk factor assessment amount based on the number of historical failures on different failure risk dates and the amount of communication processing data in the optical cable line on different failure risk dates; when the risk factor assessment amount does not meet the requirements, determine that the failure risk of the optical cable line does not meet the requirements; When the optical cable line does not have a fault risk date or the risk factor assessment meets the requirements: The total number of historical failures of the optical cable line is obtained, and the line failure risk coefficient of the optical cable line is determined in combination with the percentage of the number of dates with historical failure data and the risk factor assessment, and the line failure risk coefficient is used to determine whether the failure risk of the optical cable line meets the requirements.

[0049] Example 3 Optionally, the above step S41 includes the following contents: S411 determines the matching bearer time periods of the service type on different dates based on the distribution data of the matching bearer time periods of the service type on different dates, determines the matching dates in the dates based on the number of the matching bearer time periods, and when there is a matching date, proceeds to step S412; when there is no matching date, the problematic communication device in the associated communication devices of the service type is taken as the target to perform the channel health evaluation process of the optical cable line; S412: when the proportion of the number of matching dates is greater than the proportion of the number of preset matching dates, the associated communication device of the service type is taken as the target to evaluate the channel health of the optical cable line; when the proportion of the number of matching dates is not greater than the proportion of the number of preset matching dates, the process proceeds to step S413; S413: When the number ratio of the matching dates is within the preset matching date number ratio interval, proceed to step S414; when the number ratio of the matching dates is not within the preset matching date number ratio interval, proceed to step S416; S414 determines the bearer period change date in the date based on the change of the matching bearer periods between different adjacent dates. When the number ratio of the bearer period change date does not meet the requirement, the associated communication device of the service type is taken as the target to evaluate the channel health of the optical cable line. When the number ratio of the bearer period change date meets the requirement, the process proceeds to step S415. S415 determines the carrying period variation coefficient of the service type based on the changes in the matching carrying period of the service type on different dates and the matching carrying period between different adjacent dates. When the carrying period variation coefficient of the service type does not meet the requirements, the associated communication equipment of the service type is taken as the target to evaluate the channel health of the optical cable line. When the carrying period variation coefficient of the service type meets the requirements, proceed to step S42.

[0050] Optionally, the above step S42 includes the following contents: S421 obtains the ratio of the number of problematic communication devices in the associated communication devices of the service type in the historical operation process. When the average ratio of the number of problematic communication devices in the associated communication devices of the service type in the historical operation process is less than the preset ratio of the number of devices, proceed to step S423. When the average ratio of the number of problematic communication devices in the associated communication devices of the service type in the historical operation process is not less than the preset ratio of the number of devices, proceed to step S422. S422 determines the sum of the running time in the number-proportion interval within the preset device number-proportion range based on the running time in different number-proportion intervals. When the sum of the running time in the number-proportion interval within the preset device number-proportion range is greater than the preset time threshold, proceed to step S423. When the sum of the running time in the number-proportion interval within the preset device number-proportion range is not greater than the preset time threshold, proceed to step S424. S423: when the carrying period variation coefficient of the service type is within the preset variation coefficient interval, the associated communication device of the service type is taken as the target to perform the channel health evaluation process of the optical cable line; when the carrying period variation coefficient of the service type is not within the preset variation coefficient interval, proceed to step S424; S424 determines the problem device matching coefficient of the service type based on the operation time in different quantity proportion intervals, and proceeds to step S43.

[0051] 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.

[0052] 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.

[0053] 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 an optical cable line channel for a power communication network, characterized in that: Specifically include: When it is determined that the failure risk of the optical cable line meets the requirements based on the historical failure data of the optical cable line of the electric power communication network, proceed to the next step; Determine the concerned fault type among the fault types based on the deviation of the communication data carried by the optical cable line corresponding to different historical fault times of different fault types, and determine the problematic communication device of the communication device in the optical cable line by the communication device associated with the concerned fault type; Determine the carrying conditions of communication data of different service types in different time periods based on the analysis results of the communication data carried by the optical cable line in different time periods, and determine the matching carrying time periods of different service types based on the carrying conditions; Determine the distribution change data of the matching bearing period of the service type on different dates, and determine the health assessment strategy of different service types of the optical cable line in combination with the distribution data of the problem communication equipment in the associated communication equipment of the service type, and use the health assessment strategy to evaluate the channel health of the optical cable line.

2. The optical cable line channel health assessment method for a power communication network according to claim 1, characterized in that: The historical fault data of the optical cable line includes the number of historical faults of the optical cable line on different dates and the positions of the optical cable line at which the historical faults occurred.

3. The optical cable line channel health assessment method for a power communication network according to claim 1, characterized in that: Determine that the failure risk of the optical cable line meets the requirements, specifically including: Determine the number of historical failures of the optical cable line on different dates based on the analysis results of the historical failure data of the optical cable line; Determining a failure risk date in the optical cable line based on the number of historical failures of the optical cable line on different dates; Whether the failure risk of the optical cable line meets the requirement is determined based on the quantity ratio of the failure risk dates.

4. The optical cable line channel health assessment method for a power communication network according to claim 3, characterized in that: The failure risk date is the date when the number of historical failures does not meet the requirements.

5. The optical cable line channel health assessment method for a power communication network according to claim 1, characterized in that: When the failure risk of the optical cable line does not meet the requirement, a preset evaluation strategy is used to evaluate the channel health of the optical cable line.

6. The optical cable line channel health assessment method for a power communication network according to claim 1, characterized in that: The preset evaluation strategy is to target all communication devices in the optical cable line and perform an evaluation process on the channel health of the optical cable line.

7. The optical cable line channel health assessment method for a power communication network according to claim 6, characterized in that: Taking all the communication devices in the optical cable line as the target, the channel health evaluation process of the optical cable line is performed, specifically including: Based on the historical communication data of the communication device, determining the delay and failure conditions of the communication device during the processing of the historical communication data; Based on the delay conditions and fault conditions of different communication devices as input quantities, a preset model is used to determine the evaluation processing result of the channel health of the optical cable line.

8. The optical cable line channel health assessment method for a power communication network according to claim 1, characterized in that: The health assessment strategy is used to assess the channel health of the optical cable line, specifically including: Determining a target for the channel health of the optical cable line using the health assessment strategy; The target delay and fault conditions are used as input quantities, and a preset model is used to determine an evaluation result of the channel health of the optical cable line.

9. The optical cable line channel health assessment method for a power communication network according to claim 8, characterized in that: The evaluation results of the channel health of the optical cable line include normal, abnormal, and suspected abnormal.

10. The optical cable line channel health assessment method for a power communication network according to claim 8, characterized in that: The preset model is constructed using one or more of a BP neural network, a CNN convolutional neural network, and a RNN neural network.

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