Online monitoring system for performance of electric power communication optical cable

Abstract

The invention relates to an electric power communication optical cable performance on-line monitoring system, which can accurately capture early-stage degradation signals such as microbend loss and the like by using an automatic acquisition interface, and guarantees the continuity and accuracy of data; through cooperation of the first model construction assembly, the timing data transmission module and the graph construction module, construction of an optical cable operation trend graph can be carried out, so that the health degree of an optical cable is quantitatively evaluated. A historical fault information processing module and a second model construction assembly are arranged to construct a fault feature library and a fault analysis model, so that analysis processing of optical cable transmitting and receiving optical power abnormal conditions is performed based on the fault analysis model, and maintenance suggestions are given while fault conduction paths and root causes are searched; through the arrangement of the report generation module and the work order distribution module, a monitoring report can be made, and then maintenance work orders are generated and distributed based on the monitoring report; the system has the advantages of being reasonable in design and accurate and efficient in monitoring and use.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of power optical cable monitoring, and particularly relates to a power communication optical cable performance online monitoring system. BACKGROUND

[0002] As the transmission carrier of core businesses such as power grid dispatching, relay protection and automatic control, the stability of power communication optical cable is directly related to the safe operation of the power grid system, therefore, the state of the optical cable needs to be monitored in a timely manner, and the traditional operation and maintenance mode mainly relies on annual manual spare fiber core testing to obtain discrete data of optical cable performance, lacks the monitoring capability of the real-time running state of the optical cable, and it is difficult to discover the hidden problem defects such as aging of optical cable joints and cumulative micro-bending loss in a timely manner, which leads to more than 90% of the faults being repaired passively after the faults occur, and the cause analysis of the faults mainly relies on manual experience, which needs to be improved in terms of accuracy and timeliness; the current power communication optical cable performance monitoring has the following technical bottlenecks: 1) the monitoring means mainly rely on manual inspection and OTDR regular testing, which is high in labor cost and low in efficiency; 2) the existing means is difficult to capture the dynamic evolution process of the hidden defects such as aging of optical cable joints and cumulative micro-bending loss; 3) the fault early warning mechanism is lagging, and only supports post-alarm and lacks risk prediction capability; therefore, in order to solve the above problems, it is necessary to develop a power communication optical cable performance online monitoring system which is reasonable in design and accurate and efficient in monitoring. SUMMARY

[0003] The application aims at overcoming the defects of the prior art, and providing a power communication optical cable performance online monitoring system which is reasonable in design and accurate and efficient in monitoring.

[0004] The application is realized in the following manner: a power communication optical cable performance online monitoring system, comprising an automatic acquisition interface, a first model construction component, a timing data transmission module, a graph construction module, a historical fault information processing module, a second model construction component, a report generation module and a work order distribution module, the automatic acquisition interface is multiple, installed at the interface of the optical cable, and used for automatically acquiring optical power data of the optical cable; The first model construction component can construct an optical cable performance degradation model based on the optical power data of the optical cable acquired by the automatic acquisition interface, and use time series analysis and machine learning algorithm; The timing data transmission module can transmit the data collected by the automation collection interface to the model construction component in a timely manner, and continuously construct the optical cable performance degradation model through the model construction component, specifically: using LSTM combined with Attention to capture the long-term dependence of the optical power sequence, and predicting performance indicators such as optical intensity attenuation rate, then using an autoencoder to reconstruct the time series data, and using the reconstruction error to identify abnormal sections and mark the performance degradation interval; then, the multiple optical cable performance degradation models are integrated to form an optical power dynamic time series model for monitoring the performance of the optical cable application; The graph construction module can generate an optical cable operation trend graph based on the optical power dynamic time series model through periodic polling detection, and quantitatively evaluate the health of the optical cable; The historical fault information processing module can organize the historical fault data of the optical cable and the maintenance processing scheme corresponding to the fault, thereby constructing a fault feature library of abnormal optical power transmission and reception; The second model construction component can construct a fault analysis model based on the fault feature library, then based on the fault analysis model and through the optical cable health state trend graph, introduce a causal inference model, then analyze and process the abnormal optical power transmission and reception of the optical cable by combining the data before and after the fault occurs, find the fault conduction path and root cause, and give maintenance suggestions; The report generation module can generate a monitoring report according to the fault conduction path and root cause and the maintenance suggestions; The work order dispatching module can generate a corresponding maintenance work order based on the monitoring report and dispatch the maintenance work order according to the requirements.

[0005] Further, the optical power data of the optical cable includes optical intensity, wavelength drift, and signal-to-ratio data.

[0006] Further, the work order dispatching module can also generate a maintenance log according to the receipt issued by the maintenance personnel after the maintenance operation is completed, and store and backup the maintenance log.

[0007] Further, the automation collection interface is internally provided with an alarm unit, which can collect and organize the early warning information issued during the operation of the optical cable.

[0008] Further, the graph construction module is internally provided with an evaluation unit, which can quantitatively evaluate the health of the optical cable and mark the risk level by identifying features such as continuous optical power decline and abnormal fluctuation frequency.

[0009] The beneficial effects of this invention are as follows: By setting up an automated acquisition interface, this invention can accurately capture early degradation signals such as micro-bending loss, while avoiding errors caused by human operation during data acquisition, thus ensuring the continuity and accuracy of the data; by setting up a first model construction component, a timed data transmission module, and a graphics construction module, the cooperation between them can generate an optical cable operation trend map, thereby quantitatively assessing the health status of the optical cable; by setting up a historical fault information processing module and a second model construction component, a fault feature library and a fault analysis model can be constructed, thereby based on... The fault analysis model analyzes and processes abnormal optical cable receiving and transmitting power, identifies fault propagation paths and root causes, and provides maintenance suggestions. Through the setup of report generation and work order dispatch modules, monitoring reports can be generated, and maintenance work orders can be generated and dispatched based on these reports. This invention, employing this structure, solves the problems of low efficiency and high cost associated with traditional power communication optical cables relying on regular manual inspections. Furthermore, this invention avoids the problem of cascading power outages and significant economic losses caused by latent faults in communication optical cables. In summary, this invention has the advantages of reasonable design and precise and efficient monitoring. Attached Figure Description

[0010] Figure 1 This is a flowchart of the present invention. Detailed Implementation

[0011] The present invention will now be further described with reference to the accompanying drawings.

[0012] Example: Figure 1 As shown, an online monitoring system for the performance of power communication optical cables includes an automated acquisition interface, a first model building component, a timed data transmission module, a graphics building module, a historical fault information processing module, a second model building component, a report generation module, and a work order dispatch module. Multiple automated acquisition interfaces are installed at the interfaces of the optical cables and are used to automatically acquire the optical power data of the optical cables. The optical power data includes light intensity, wavelength drift, and signal-to-weight ratio data. Furthermore, the automated acquisition interface is equipped with an alarm unit, which can be used to collect and organize early warning information issued during the operation of the optical cables. The first model building component can build an optical cable performance degradation model based on the optical power data of the optical cable collected by the automated acquisition interface and by using time series analysis and machine learning algorithms. The timing data transmission module can transmit the data collected by the automation collection interface to the model construction component at a timing, and continuously construct the optical cable performance degradation model through the model construction component, specifically: using LSTM combined with Attention to capture the long-term dependence of the optical power sequence, and predict the optical intensity attenuation rate and other performance indicators, then using the autoencoder to reconstruct the time series data, and using the reconstruction error to identify abnormal sections and mark the performance degradation interval; then, the multiple optical cable performance degradation models are integrated to form an optical power dynamic time series model for monitoring the performance of the optical cable application; The graph construction module can generate an optical cable operation trend graph based on the optical power dynamic time series model through periodic polling detection, and quantitatively evaluate the health degree of the optical cable; and the evaluation unit is arranged in the graph construction module, which can quantitatively evaluate the health degree of the optical cable and mark the risk level by identifying features such as continuous decline in optical power and abnormal fluctuation frequency; The historical fault information processing module can organize the historical fault data of the optical cable and the maintenance processing scheme corresponding to the fault, thereby constructing a fault feature library of abnormal optical power transmission and reception; The second model construction component can construct a fault analysis model based on the fault feature library, then introduce a causal inference model based on the fault analysis model and the optical cable health state trend graph, then analyze and process the abnormal optical power transmission and reception of the optical cable by combining the data before and after the fault occurs, find the fault conduction path and root cause, and give maintenance suggestions; The report generation module can generate a monitoring report according to the fault conduction path and root cause and the maintenance suggestions; The work order dispatching module can generate a corresponding maintenance work order based on the monitoring report, and dispatch the maintenance work order according to the requirements, and the work order dispatching module can also generate a maintenance log according to the receipt issued by the maintenance personnel after the maintenance operation is completed, and store and backup the maintenance log.

[0013] The application is used, first, through the automatic acquisition interface installed at the optical cable interface, the optical power data of the optical cable is automatically acquired, wherein the optical power data of the optical cable includes optical intensity, wavelength drift and signal ratio data; then, based on the optical power data of the optical cable collected by the automatic acquisition interface, the time series analysis and machine learning algorithm are used, and the optical cable performance degradation model is constructed through the first model construction component; then, the data collected by the automatic acquisition interface is transmitted to the model construction component through the timing data transmission module, and the optical cable performance degradation model is continuously constructed through the model construction component, the specific operation is: using LSTM combined with Attention to capture the long-term dependence of optical power sequence, and predicting performance indicators such as optical intensity attenuation rate, then using autoencoder to reconstruct time series data, and using reconstruction error to identify abnormal section and mark performance degradation interval; then, the multiple optical cable performance degradation models are integrated to form an optical power dynamic time series model, the application performance of the optical cable is monitored, and then, through the graph construction module and based on the optical power dynamic time series model, the optical cable operation trend map is generated by using the periodic polling detection method, and the health degree of the optical cable is quantitatively evaluated based on the optical cable operation trend map; after the above operation, the historical fault data of the optical cable and the maintenance processing scheme corresponding to the fault are arranged through the historical fault information processing module, so as to construct the fault feature library of the receiving and transmitting optical power anomaly, then, using the second model construction component and based on the fault feature library, the fault analysis model is constructed, and after the fault analysis model is constructed, the optical cable health state trend graph is introduced into the causal inference model, and the receiving and transmitting optical power anomaly of the optical cable is analyzed and processed before and after the fault occurs, the fault conduction path and root cause are found, and the maintenance suggestion is given; finally, according to the fault conduction path, root cause and maintenance suggestion of the optical cable, the monitoring report is generated, and based on the monitoring report, the corresponding maintenance work order is generated through the work order distribution module, and the maintenance work order is distributed according to the requirement, at the same time, the work order distribution module can also generate the maintenance log according to the receipt issued by the maintenance personnel after the maintenance operation is completed, and the maintenance log is stored and backed up.

[0014] The application can accurately capture early degradation signals such as micro-bend loss by automatically collecting the setting of the interface, avoid errors caused by manual operation in the data acquisition process, ensure the continuity and accuracy of the data, and set an alarm unit in the internal setting of the automatic collection interface. The warning information issued during the operation of the optical cable can also be collected and arranged by using the alarm unit; by setting the first model construction component, the timing data transmission module and the graphic construction module, the optical cable operation trend map can be constructed and generated by using the cooperation between them, so as to quantify and evaluate the health degree of the optical cable through the optical cable operation trend map; by setting the historical fault information processing module and the second model construction component, the fault feature library and the fault analysis model can be constructed, so as to analyze and process the abnormal situation of the optical cable transmitting and receiving light power based on the fault analysis model, find the fault conduction path and root cause, and give maintenance suggestions; by setting the report generation module and the work order distribution module, the monitoring report can be made, and the maintenance work order can be generated and distributed based on the monitoring report; the application adopts this structure, solves the problem of low efficiency and high cost of the existing traditional power communication optical cable relying on manual regular inspection, and avoids the problem of easy chain power outage and large economic loss caused by hidden faults of the communication optical cable; in general, the application has the advantages of reasonable design and precise and efficient monitoring.

[0015] The above examples are only used to illustrate the technical solutions of the present application, but not to limit it. Although the present application has been described in detail with reference to the above examples, those skilled in the art should understand that the specific embodiments of the present application can be modified or replaced by equivalents without departing from the spirit and scope of the present application. Any modification or equivalent replacement without departing from the spirit and scope of the present application should be covered in the scope of the claims of the present application.

Claims

1. An online monitoring system for the performance of power communication optical cables, comprising an automated data acquisition interface, a first model building component, a timed data transmission module, a graphics building module, a historical fault information processing module, a second model building component, a report generation module, and a work order dispatch module, characterized in that: The automated acquisition interface has multiple ports, which are installed at the interface of the optical cable and are used to automatically acquire the optical power data of the optical cable. The first model building component can build an optical cable performance degradation model based on the optical power data of the optical cable collected by the automated acquisition interface and by using time series analysis and machine learning algorithms. The timed data transmission module can periodically transmit the data collected by the automated acquisition interface to the model building component, and continuously build the optical cable performance degradation model through the model building component. Specifically, it uses LSTM with Attention to capture the long-term dependence of optical power sequence and predicts performance indicators such as light intensity attenuation rate. Then, it uses an autoencoder to reconstruct the time series data, uses the reconstruction error to identify abnormal segments, and marks the performance degradation interval. Subsequently, multiple optical cable performance degradation models were integrated to form a dynamic time-series model of optical power for monitoring the performance of optical cable applications. The graph construction module can generate an optical cable operation trend map based on the optical power dynamic time series model and through periodic polling detection to quantitatively assess the health of the optical cable. The historical fault information processing module can organize the historical fault data of the optical cable and the corresponding repair and handling solutions for the faults, thereby constructing a fault feature library of abnormal optical power. The second model building component can build a fault analysis model based on the fault feature library. Then, based on the fault analysis model and through the optical cable health status trend chart, a causal inference model is introduced. After that, combined with the data before and after the fault occurred, the abnormal transmission power of the optical cable is analyzed and processed to find the fault propagation path and root cause, and maintenance suggestions are given. The report generation module can generate a monitoring report based on the fault propagation path and root cause, as well as maintenance recommendations; The work order dispatch module can generate corresponding maintenance work orders based on monitoring reports and dispatch the maintenance work orders as required.

2. The online performance monitoring system for power communication optical cables as described in claim 1, characterized in that: The optical power data of the optical cable includes optical intensity, wavelength drift, and signal-to-weight ratio data.

3. The online monitoring system for the performance of power communication optical cables as described in claim 1, characterized in that: The work order dispatch module can also generate maintenance logs based on the acknowledgments issued by maintenance personnel after the maintenance operation is completed, and store and back up the maintenance logs.

4. The online monitoring system for the performance of power communication optical cables as described in claim 1, characterized in that: The automated data acquisition interface is equipped with an alarm unit, which can be used to collect and organize the early warning information issued during the operation of the optical cable.

5. The online performance monitoring system for power communication optical cables as described in claim 1, characterized in that: The graphics construction module is equipped with an evaluation unit. The evaluation unit can quantitatively assess the health of the optical cable and mark the risk level by identifying features such as continuous decrease in optical power and abnormal fluctuation frequency.

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