Operation and maintenance management method and system based on OPPC optical cable temperature anomaly recognition

Abstract

The invention provides an operation and maintenance management method and system based on OPPC optical cable temperature anomaly recognition, and belongs to the technical field of optical cable operation and maintenance management. The method specifically comprises the steps that distribution data of an operation time period corresponding to an anomaly recognition interval in a future preset time period and historical communication data of an optical cable in the operation time period are used for obtaining data of the operation time period corresponding to the anomaly recognition interval in the future preset time period; and when determining that a target time period corresponding to the preset operation power interval does not belong to the identification deviation time period, determining an operation and maintenance processing strategy of optical cable temperature anomaly identification in the operation time period corresponding to the target time period according to the matching condition of the abnormal condition of the communication data of the optical cable in the anomaly identification interval and the operation power of the optical cable, and the efficiency of temperature anomaly identification processing is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of optical cable operation and maintenance management, and particularly relates to an operation and maintenance management method and system based on the identification of abnormal temperature of OPPC optical cable. Background Art

[0002] Optical Phase Conductor (OPPC) is a new type of special power optical cable, which is an optical cable with optical fiber units compounded in the phase conductor, having dual functions of phase conductor and communication, and is mainly used in the voltage class below 110 kV, suburban distribution networks and rural power grids.

[0003] In order to realize the operation and maintenance management of OPPC optical cables, in the invention patent application CN202510025654.8, "An Optical Cable Resource Operation and Maintenance Management Method and System", the real-time temperature values of each optical fiber are obtained, and the Brillouin scattering optical frequency shift amount and optical fiber stress value are obtained according to the Brillouin scattering optical signal, and the real-time temperature value, Brillouin scattering optical frequency shift amount and optical fiber stress value are substituted into the standard operation inspection equation to further judge whether there are abnormal optical fibers. However, there are the following technical problems: Different from other optical cables, OPPC optical cables not only carry optical signals during operation, but also undertake the power transmission function. Therefore, it is inevitable that during the operation of the optical cable, with the change of the power transmission, the operating temperature of the optical cable will be affected. Therefore, how to specifically carry out the operation and maintenance management of the optical cable has become an urgent technical problem to be solved.

[0004] To solve the above technical problems, the present application provides an operation and maintenance management method and system based on the identification of abnormal temperature of OPPC optical cable. Summary of the Invention

[0005] To achieve the object of the present invention, the present invention adopts the following technical solutions: Specifically, in the first aspect, the present application provides an operation and maintenance management method based on the identification of abnormal temperature of OPPC optical cable, which specifically includes: S1 Based on the analysis result of the operation data of the OPPC optical cable, determine the historical operation data of the OPPC optical cable in the preset operation power range. When the over-temperature risk coefficient of the optical cable is within the preset risk coefficient range based on the historical operation data, proceed to the next step; S2 Based on the abnormal conditions of the communication data of the optical cable in different operation power ranges, determine the coincidence of the abnormal conditions of the communication data in different operation power ranges and the abnormal conditions of the communication data caused by the temperature abnormal points. Based on the coincidence, determine the abnormal identification range in the operation power range; When S3 determines that the target time period corresponding to the preset operating power range does not belong to the identification deviation time period based on the distribution data of the operating time periods corresponding to the abnormal identification range within a preset future time period and the historical communication data of the optical cable during the operating time periods, proceed to the next step; S4 determines the operation and maintenance processing strategy for identifying abnormal optical cable temperature during the corresponding operating time period of the target time period according to the matching situation between the abnormal conditions of the communication data of the optical cable within the abnormal identification range and the operating power of the optical cable.

[0006] The beneficial effects of the present invention are as follows: Based on the distribution data of the operating time periods corresponding to the abnormal identification range within a preset future time period and the historical communication data of the optical cable during the operating time periods, it is determined whether the target time period corresponding to the preset operating power range belongs to the identification deviation time period, thereby realizing the evaluation of the reliability of abnormal identification of the distribution of the operating time periods corresponding to the abnormal identification range of the target time period. Further, in combination with the historical communication data, it also realizes the influence of the difference in the data volume of the communication data on the reliability of identifying and processing abnormal temperature conditions, and thus lays a foundation for generating differentiated operation and maintenance processing strategies according to the difference in identification reliability, improving the timeliness of abnormal identification and processing.

[0007] According to the matching situation between the abnormal conditions of the communication data of the optical cable within the abnormal identification range and the operating power of the optical cable, the operation and maintenance processing strategy for identifying abnormal optical cable temperature during the corresponding operating time period of the target time period is determined. It fully considers the matching degree between the abnormal conditions of the communication data within the abnormal identification range and the operating power, and then, based on the evaluation of the difference in the abnormal temperature degree of the optical cable according to the difference in the matching degree, determines the operation and maintenance processing strategy for the operating time periods corresponding to the abnormal identification range in the later stage of the target time period corresponding to the preset operating power range, avoiding the technical problem that it is impossible to accurately identify and process abnormal temperature points when the abnormal degree is high and the communication data volume is insufficient.

[0008] A further technical solution is that the preset operating power range is the range where the operating power is greater than the corresponding preset operating power.

[0009] A further technical solution is that the method for determining the over-temperature risk coefficient of the optical cable is as follows: Based on the historical operating data of the OPPC optical cable within the preset operating power range, determine the historical operating time periods of the OPPC optical cable within the preset operating power range and use them as the matching operating time periods; According to the operating durations of different matching operating time periods, determine the matching operating time periods with operating durations greater than the preset operating duration and use them as abnormal operating time periods; Based on the number of the abnormal operating time periods, determine the over-temperature risk coefficient of the optical cable.

[0010] A further technical solution is that the over-temperature risk coefficient of the optical cable is determined according to the ratio of the number of abnormal operation periods to the preset abnormal period number threshold.

[0011] A further technical solution is that the value range of the over-temperature risk coefficient of the optical cable is between 0 and 1. When the over-temperature risk coefficient of the optical cable is not within the preset risk coefficient interval, it is also necessary to determine whether the over-temperature risk coefficient of the optical cable is greater than the preset over-temperature risk coefficient threshold. If so, the method of using an unmanned aerial vehicle (UAV) for inspection is adopted in the periods corresponding to different preset operating power intervals to identify the abnormal temperature of the optical cable. If not, there is no need to identify the abnormal temperature of the optical cable.

[0012] A further technical solution is that the method for determining the operation and maintenance processing strategy for the abnormal identification of the optical cable temperature in the corresponding operation period of the target period is as follows: Taking the operation periods corresponding to the abnormal identification intervals within the most recent preset time period as the reference operation periods, and determining the index data of different indexes at different moments in the reference operation periods according to the abnormal conditions of the communication data of the optical cable in the reference operation periods; Determining the preset index data intervals corresponding to different indexes based on the communication data of the optical cable within the abnormal identification interval; Based on the number of indexes whose index data is not within the preset index data interval, determining the index abnormal moments among different moments, and determining the operation and maintenance processing strategy for the abnormal identification of the optical cable temperature in the corresponding operation period of the target period according to the number of index abnormal moments in the reference operation periods.

[0013] A further technical solution is that the preset index data interval corresponding to the index is the index data interval in which the number of moments when the index data of the index falls within the historical operation periods corresponding to the abnormal identification interval is the largest.

[0014] A further technical solution is that the index abnormal moment is the moment when the number of indexes whose index data is not within the preset index data interval is greater than the preset index number threshold.

[0015] In a second aspect, the present invention provides a computer system, including: a memory and a processor connected by communication, and a computer program stored on the memory and capable of running on the processor. When the processor runs the computer program, it executes the above-mentioned operation and maintenance management method based on the abnormal identification of the OPPC optical cable temperature.

[0016] Other features and advantages will be set forth in the following description, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention are realized and attained by the structure particularly pointed out in the specification and the drawings.

[0017] To make the above objectives, features and advantages of the present invention more comprehensible, the following presents preferred embodiments in conjunction with the accompanying drawings and provides detailed descriptions as follows. Brief Description of the Drawings

[0018] By referring to the accompanying drawings and describing in detail its exemplary embodiments, the above and other features and advantages of the present invention will become more apparent.

[0019] Figure 1 is a flowchart of an operation and maintenance management method based on the identification of abnormal temperature of OPPC optical cables; Figure 2 is a flowchart of a method for determining the over-temperature risk coefficient of an optical cable; Figure 3 is a flowchart of a method for determining an abnormal identification interval in an operating power range; Figure 4 is a flowchart for determining that the target time period corresponding to the preset operating power range does not belong to the identification deviation time period. Detailed Embodiments

[0020] Exemplary embodiments will now be described more fully with reference to the accompanying drawings. However, the exemplary embodiments can be implemented in various forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the exemplary embodiments to those skilled in the art. Like reference numerals in the figures denote like or similar structures and thus their detailed description will be omitted.

[0021] The terms "a", "an", "the", and "said" are used to denote the presence of one or more elements / components / etc.; the terms "comprising" and "having" are used to mean an open inclusion and mean that in addition to the listed elements / components / etc., there may be additional elements / components / etc.

[0022] In order to identify the influence of the temperature of the optical cable during the target time period of the preset operating power range that may cause abnormal temperature, during the target time period of the preset operating power range and in the operating time period with a relatively high accuracy of subsequent abnormal temperature identification, by actively sending and receiving communication data and using the identification of abnormal conditions such as network delay and packet loss rate in the communication data, the identification and processing of abnormal temperature of the optical cable are realized.

[0023] Embodiment 1 To solve the above problems, according to one aspect of the present invention, as Figure 1 shown, a maintenance management method based on the identification of abnormal temperature of OPPC optical cable is provided, specifically including: S1 Based on the analysis result of the operation data of the OPPC optical cable, determine the historical operation data of the OPPC optical cable within the preset operation power range. When the over-temperature risk coefficient of the optical cable is within the preset risk coefficient range based on the historical operation data, proceed to the next step; Furthermore, the preset operation power range is the range where the operation power is greater than the corresponding preset operation power.

[0024] Specifically, as Figure 2 shown, the method for determining the over-temperature risk coefficient of the optical cable is: Based on the historical operation data of the OPPC optical cable within the preset operation power range, determine the historical operation period of the OPPC optical cable within the preset operation power range and use it as the matching operation period; According to the operation duration of different matching operation periods, determine the matching operation periods with an operation duration greater than the preset operation duration and use them as abnormal operation periods; Determine the over-temperature risk coefficient of the optical cable based on the number of the abnormal operation periods.

[0025] Furthermore, the over-temperature risk coefficient of the optical cable is determined according to the ratio of the number of the abnormal operation periods to the preset abnormal period number threshold.

[0026] It should be noted that the value range of the over-temperature risk coefficient of the optical cable is between 0 and 1. When the over-temperature risk coefficient of the optical cable is not within the preset risk coefficient range, it is also necessary to determine whether the over-temperature risk coefficient of the optical cable is greater than the preset over-temperature risk coefficient threshold. If so, the method of using a drone to inspect the optical cable for abnormal temperature identification is adopted for each period corresponding to different preset operation power ranges. If not, there is no need to identify the abnormal temperature of the optical cable.

[0027] It can be understood that the abnormal conditions of the communication data include five indicators: optical attenuation data, signal distortion data, transmission speed, and bit error rate.

[0028] S2 Based on the abnormal conditions of the communication data of the optical cable within different operation power ranges, determine the coincidence of the abnormal conditions of the communication data within different operation power ranges and the abnormal conditions of the communication data caused by the temperature abnormal points. Based on the coincidence, determine the abnormal identification range within the operation power range; Specifically, as Figure 3 shown, the method for determining the abnormal identification range within the operation power range is: Based on the abnormal situation of communication data caused by the temperature abnormal point, determine the index data of communication data at different indexes when there is a temperature abnormal point, and use it as the characteristic data of different indexes; Take the historical operation period corresponding to the operation power interval as the screening period, and determine the similar screening periods in the screening period according to the deviation between the abnormal situation of communication data in different screening periods and the characteristic data of the index; Determine whether the operation power interval is an abnormal identification interval according to the number of the similar screening periods;

[0029] Further, the similar screening periods in the screening period are the screening periods whose deviation amounts from the characteristic data of different indexes are all within the preset deviation amount range.

[0030] It can be understood that when the number of the similar screening periods is greater than the preset similar period number threshold, it is determined that the operation power interval does not belong to the abnormal identification interval.

[0031] S3 When it is determined that the target period corresponding to the preset operation power interval does not belong to the identification deviation period based on the distribution data of the operation periods corresponding to the abnormal identification interval in the future preset period and the historical communication data of the optical cable in the operation period, enter the next step; Specifically, the future preset period is the period between the target period corresponding to the next preset operation power interval.

[0032] Further, as Figure 4 shown, determining that the target period corresponding to the preset operation power interval does not belong to the identification deviation period specifically includes: Take the operation periods corresponding to the abnormal identification interval in the future preset period as the identification operation periods; Determine the reference data volume of different identification operation periods according to the average value of the historical communication data volume of different identification operation periods on different dates; Based on the reference data volume of different identification operation periods, determine whether the target period corresponding to the preset operation power interval belongs to the identification deviation period.

[0033] Further, when there is an identification operation period with a reference data volume greater than the preset data volume threshold, it is determined that the target period corresponding to the preset operation power interval does not belong to the identification deviation period.

[0034] It can be understood that when the target period corresponding to the preset operation power interval belongs to the identification deviation period, the abnormal temperature of the optical cable is identified by means of drone inspection in the target period corresponding to the preset operation power interval.

[0035] Further, when there is an identification operation period in which the abnormal identification reliability value is greater than the preset identification reliability threshold, it is determined that the target period corresponding to the preset operation power range does not belong to the identification deviation period.

[0036] S4 determines the operation and maintenance processing strategy for abnormal temperature identification of the optical cable in the corresponding operation period of the target period according to the matching situation between the abnormal situation of the communication data of the optical cable in the abnormal identification range and the operation power of the optical cable.

[0037] Further, the corresponding operation period of the target period is the operation period corresponding to the abnormal identification range between the target period and the target period corresponding to the next preset operation power range.

[0038] It should be noted that the method for determining the operation and maintenance processing strategy for abnormal temperature identification of the optical cable in the corresponding operation period of the target period is as follows: Taking the operation period corresponding to the abnormal identification range within the most recent preset time period as the reference operation period, and determining the index data of different indexes at different moments in the reference operation period according to the abnormal situation of the communication data of the optical cable in the reference operation period; Determining the preset index data range corresponding to different indexes based on the communication data of the optical cable within the abnormal identification range of the optical cable; Based on the number of indexes whose index data is not within the preset index data range, determining the index abnormal moments among different moments, and determining the operation and maintenance processing strategy for abnormal temperature identification of the optical cable in the corresponding operation period of the target period according to the number of index abnormal moments in the reference operation period.

[0039] Further, the preset index data range corresponding to the index is the index data range in which the number of moments when the index data of the index falls within the historical operation period corresponding to the abnormal identification range is the largest.

[0040] It can be understood that the index abnormal moment is the moment when the number of indexes whose index data is not within the preset index data range is greater than the preset index number threshold.

[0041] Further, determining the operation and maintenance processing strategy for abnormal temperature identification of the optical cable in the corresponding operation period of the target period according to the number of index abnormal moments in the reference operation period specifically includes: When the number of index abnormal moments in the reference operation period is greater than the preset abnormal moment number threshold, directly adopt the method of unmanned aerial vehicle inspection to identify the abnormal temperature of the optical cable in the target period corresponding to the preset operation power range, and there is no need to perform the identification and processing of the abnormal temperature of the optical cable in the corresponding operation period of the target period; When the number of abnormal moment indicators in the reference operation period is greater than the preset abnormal moment quantity threshold, the operation and maintenance processing strategy for identifying the abnormal temperature of the optical cable in the corresponding operation period of the target period is determined based on the proportion of the number of abnormal moment indicators in the reference operation period.

[0042] It should be noted that determining the operation and maintenance processing strategy for identifying the abnormal temperature of the optical cable in the corresponding operation period of the target period based on the proportion of the number of abnormal moment indicators in the reference operation period specifically includes: When the proportion of the number of abnormal moment indicators in the reference operation period is within the preset abnormal moment quantity proportion interval, in the corresponding operation period of the target period, communication data is actively sent and received in the optical cable at different moments, and the abnormal temperature of the optical cable is identified and processed using the abnormal identification result of the communication data. When the proportion of the number of abnormal moment indicators in the reference operation period is not within the preset abnormal moment quantity proportion interval, in the corresponding operation period of the target period, the abnormal temperature of the optical cable is identified and processed using the abnormal identification result of the communication data in the target period.

[0043] It can be understood that when the number of moments when the deviation amount between the abnormal situation of the communication data in the operation period and the characteristic data of different indicators is within the preset deviation amount interval is greater than the preset moment quantity threshold, it is determined that there is an abnormal temperature point, and the abnormal temperature of the optical cable is identified by means of unmanned aerial vehicle inspection.

[0044] Embodiment 2 In a second aspect, the present invention provides a computer system, including: a memory and a processor connected by communication, and a computer program stored on the memory and capable of running on the processor. When the processor runs the computer program, it executes the above-mentioned operation and maintenance management method for identifying the abnormal temperature of the OPPC optical cable.

[0045] Embodiment 3 Optionally, the method for determining the abnormal identification interval in the operating power interval is: Based on the abnormal situation of the communication data caused by the abnormal temperature point, the index data of the communication data when there is an abnormal temperature point in different indicators is determined and used as the characteristic data of different indicators. Taking the historical operation period corresponding to the operating power interval as the screening period, and based on the deviation between the abnormal situation of the communication data in different screening periods and the characteristic data of the indicators, when it is determined that there is no similar screening period in the screening period, the operating power interval is determined as the abnormal identification interval. When there is a similar screening period in the screening period: Obtain the quantity of the similar screening time periods. When the quantity of the similar screening time periods does not meet the requirements, it is determined that the operating power interval does not belong to the abnormal identification interval; When the quantity of the similar screening time periods meets the requirements: Based on the interval duration between different similar screening time periods and the corresponding time periods of adjacent preset operating power intervals, as well as the operating duration of the corresponding time periods of adjacent preset operating power intervals, determine the deviation probability factors of different similar screening time periods. When there is no similar screening time period with a deviation probability factor less than the preset deviation probability factor threshold, it is determined that the operating power interval belongs to the abnormal identification interval; When there is a similar screening time period with a deviation probability factor less than the preset deviation probability factor threshold: Take the similar screening time periods with deviation probability factors less than the preset deviation probability factor threshold as interference time periods. When the quantity of the interference time periods does not meet the requirements, it is determined that the operating power interval does not belong to the abnormal identification interval; When the quantity of the interference time periods meets the requirements: Based on the deviation probability factors of different similar screening time periods, determine the identification reliability coefficient of the operating power interval, and based on the identification reliability coefficient, determine whether the operating power interval is an abnormal identification interval.

[0046] Furthermore, when the identification reliability coefficient of the operating power interval is greater than the preset identification reliability coefficient threshold, it is determined that the operating power interval belongs to the abnormal identification interval.

[0047] Embodiment 4 In another possible embodiment, determining that the target time period corresponding to the preset operating power interval does not belong to the identification deviation time period specifically includes: When there is no operating time period corresponding to the abnormal identification interval within a preset time period in the future, it is determined that the target time period corresponding to the preset operating power interval belongs to the identification deviation time period; When there is an operating time period corresponding to the abnormal identification interval within a preset time period in the future: Take the operating time periods corresponding to the abnormal identification interval within a preset time period in the future as the identification operating time periods. When the quantity of the identification operating time periods is greater than the preset identification operating time period quantity threshold, it is determined that the target time period corresponding to the preset operating power interval does not belong to the identification deviation time period; When the quantity of the identification operating time periods is not greater than the preset identification operating time period quantity threshold: Determine the recognition processing reliability coefficient based on the interval duration between the recognition operation periods corresponding to different abnormal recognition intervals and the number of recognition operation periods. When the recognition processing reliability coefficient does not meet the requirements, determine that the target period corresponding to the preset operation power interval belongs to the recognition deviation period; When the recognition processing reliability coefficient meets the requirements: Determine the reference data volume of different recognition operation periods based on the average value of the historical communication data volume of different recognition operation periods on different dates. When there is a recognition operation period with a reference data volume greater than the preset data volume threshold, determine that the target period corresponding to the preset operation power interval does not belong to the recognition deviation period; When there is no recognition operation period with a reference data volume greater than the preset data volume threshold: Determine the abnormal recognition reliability value of different recognition operation periods based on the interval duration between the recognition operation periods corresponding to different abnormal recognition intervals and the reference data volume of different recognition operation periods. Based on the abnormal recognition reliability value, determine whether the target period corresponding to the preset operation power interval belongs to the recognition deviation period.

[0048] Each embodiment in this specification is described in a progressive manner. For the same or similar parts among the embodiments, reference can be made to each other. Each embodiment focuses on the differences from other embodiments. In particular, for the embodiments of the device, equipment, and non-volatile computer storage medium, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can refer to the partial description of the method embodiments.

[0049] The specific embodiments of this specification are described above. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be executed in a different order than in the embodiments and still achieve the desired results. Additionally, the processes depicted in the figures do not necessarily require the specific order or continuous order shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0050] The above description is only for 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 can have various modifications and changes. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of one or more embodiments of this specification shall be included within the scope of the claims of this specification.

Claims

1. An operation and maintenance management method based on the identification of abnormal temperature of OPPC optical cables, characterized in that Specifically include: Based on the analysis results of the operation data of the OPPC optical cable, determine the historical operation data of the OPPC optical cable in the preset operation power range. When the over-temperature risk coefficient of the optical cable is determined to be within the preset risk coefficient range based on the historical operation data, proceed to the next step; Based on the abnormal conditions of the communication data of the optical cable in different operation power ranges, determine the coincidence of the abnormal conditions of the communication data in different operation power ranges and the abnormal conditions of the communication data caused by the temperature abnormal points. Based on the coincidence, determine the abnormal recognition range in the operation power range; Based on the distribution data of the operation time periods corresponding to the abnormal recognition range in the preset time period in the future and the historical communication data of the optical cable during the operation time period, when it is determined that the target time period corresponding to the preset operation power range does not belong to the recognition deviation time period, proceed to the next step; According to the matching situation between the abnormal conditions of the communication data of the optical cable in the abnormal recognition range and the operation power of the optical cable, determine the operation and maintenance processing strategy for the abnormal temperature recognition of the optical cable during the corresponding operation time period of the target time period.

2. The operation and maintenance management method based on the identification of abnormal temperature of OPPC optical cable according to claim 1, characterized in that, The preset operation power range is the range where the operation power is greater than the corresponding preset operation power.

3. The operation and maintenance management method based on the identification of abnormal temperature of OPPC optical cable according to claim 1, characterized in that, The method for determining the over-temperature risk coefficient of the optical cable is: Based on the historical operation data of the OPPC optical cable in the preset operation power range, determine the historical operation time period of the OPPC optical cable in the preset operation power range and use it as the matching operation time period; According to the operation duration of different matching operation time periods, determine the matching operation time periods with an operation duration greater than the preset operation duration and use them as the abnormal operation time periods; Determine the over-temperature risk coefficient of the optical cable based on the number of the abnormal operation time periods.

4. The operation and maintenance management method based on the identification of abnormal temperature of OPPC optical cable according to claim 3, characterized in that, The over-temperature risk coefficient of the optical cable is determined according to the ratio of the number of the abnormal operation time periods to the preset abnormal time period number threshold.

5. The operation and maintenance management method based on the recognition of abnormal temperature of OPPC optical cable according to claim 3, characterized in that, The value range of the over-temperature risk coefficient of the optical cable is between 0 and 1. When the over-temperature risk coefficient of the optical cable is not within the preset risk coefficient range, it is also necessary to determine whether the over-temperature risk coefficient of the optical cable is greater than the preset over-temperature risk coefficient threshold. If so, the abnormal temperature of the optical cable is identified by using the drone inspection method during the time periods corresponding to different preset operation power ranges. If not, there is no need to identify the abnormal temperature of the optical cable.

6. The operation and maintenance management method based on the identification of abnormal temperature of OPPC optical cable according to claim 1, characterized in that, The abnormal conditions of the communication data include five indicators: optical attenuation data, signal distortion data, transmission speed, and bit error rate.

7. The operation and maintenance management method based on the identification of abnormal temperature of OPPC optical cable according to claim 1, characterized in that The method for determining the operation and maintenance processing strategy for the abnormal temperature recognition of the optical cable during the corresponding operation time period of the target time period is: Take the operation time periods corresponding to the abnormal recognition range in the most recent preset time cycle as the reference operation time periods. According to the abnormal conditions of the communication data of the optical cable during the reference operation time periods, determine the index data of different indicators at different moments during the reference operation time periods; Based on the communication data of the optical cable in the abnormal recognition range of the optical cable, determine the preset index data range corresponding to different indicators; Based on the number of metrics whose metric data is not within the preset metric data interval, determine the metric anomaly moments at different times. According to the number of metric anomaly moments in the reference operation period, determine the operation and maintenance processing strategy for identifying the optical cable temperature anomaly in the corresponding operation period of the target period.

8. The operation and maintenance management method based on the identification of abnormal temperature of OPPC optical cable according to claim 7, characterized in that, The preset metric data interval corresponding to the metric is the metric data interval in which the largest number of moments of the metric data of the metric fall in the historical operation period corresponding to the anomaly identification interval.

9. The operation and maintenance management method based on the identification of abnormal temperature of OPPC optical cable according to claim 7, characterized in that, According to the number of metric anomaly moments in the reference operation period, determine the operation and maintenance processing strategy for identifying the optical cable temperature anomaly in the corresponding operation period of the target period, which specifically includes: When the number of metric anomaly moments in the reference operation period is greater than the preset anomaly moment quantity threshold, directly adopt the method of using a drone for inspection in the target period corresponding to the preset operation power interval to identify the abnormal temperature of the optical cable, and there is no need to perform the processing for identifying the optical cable temperature anomaly in the corresponding operation period of the target period; When the number of metric anomaly moments in the reference operation period is greater than the preset anomaly moment quantity threshold, determine the operation and maintenance processing strategy for identifying the optical cable temperature anomaly in the corresponding operation period of the target period according to the proportion of the number of metric anomaly moments in the reference operation period.

10. A computer system, comprising: A memory and a processor connected by communication, and a computer program stored on the memory and capable of running on the processor, characterized in that when the processor runs the computer program, it executes an operation and maintenance management method for identifying the optical cable temperature anomaly based on OPPC according to any one of claims 1-9.

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