CN-122022114-A - Operation analysis and detection system for electric power communication optical cable

CN122022114ACN 122022114 ACN122022114 ACN 122022114ACN-122022114-A

Abstract

The invention relates to an operation analysis and detection system of an electric power communication optical cable, which is characterized in that the operation data of the optical cable are periodically collected and the collected data are integrated and processed, so that an optical cable performance decline model and an optical cable health state trend graph are constructed, the health degree of the optical cable is quantitatively evaluated, the transition of an operation and maintenance mode from 'post rush repair' to 'pre-prevention' is realized, the similarity of each fault characteristic in a real-time parameter and fault characteristic library is calculated, the fault type is positioned, a fault analysis report and a maintenance suggestion are output, the operation and maintenance decision is updated from 'artificial experience drive' to 'AI intelligent drive', the accuracy and timeliness of analysis of the optical cable fault cause are improved, and the 'monitoring-early warning-diagnosis-optimization' closed-loop management mode formed by the invention can reduce the unplanned interruption risk of the optical cable and improve the reliability of an electric power system, and has the advantages of intelligent high efficiency, accuracy and convenience.

Inventors

CHENG MENGLING
SUN ZHANGMIN
WU LINLIN
YANG TAOFENG
CHENG YANAN
QIN ZIQING
HUANG MENGYAO
JIANG NAN

Assignees

国网河南省电力公司商丘供电公司

Dates

Publication Date: 20260512
Application Date: 20251208

Claims (6)

1. The utility model provides an electric power communication optical cable operation analysis and detecting system, includes data acquisition module, data processing module, model construction subassembly, figure construction module, history information storage module and trouble intelligent diagnosis module, its characterized in that: The data acquisition module is provided with an optical power acquisition unit and a timing control unit, wherein the optical power acquisition unit is used for acquiring the light intensity, the wavelength drift amount, the signal to noise ratio and the optical loss value of an optical cable transceiving optical path, and the timing control unit is used for dynamically adjusting the data acquisition frequency according to the optical cable running state based on a self-adaptive period acquisition algorithm and integrating the data acquired in the same period to form a data packet; the data processing module can perform cleaning, filtering, normalization and fusion processing on optical cable data in the data packet; The model building component can process parameter time sequence characteristics through a time sequence decomposition algorithm based on optical cable data information in the data packet, and build an optical cable performance degradation model by combining a machine learning algorithm; then, the optical power attenuation trend in a specific time period in the future is predicted by training and learning the historical data by using the optical cable performance degradation model, namely, the output of the predicted value of the residual life of the optical cable, the performance degradation rate and the health degree score is realized by inputting real-time parameter data; the graph construction module can generate an optical cable health state trend graph based on the output result of the optical cable performance degradation model; the historical information storage module can be used for acquiring and storing power abnormality characteristics of the historical faults of the power communication optical cable and corresponding maintenance schemes, and establishing a fault characteristic library based on the historical fault abnormality characteristics and the corresponding maintenance schemes; The intelligent fault diagnosis module can calculate the similarity between the intelligent fault diagnosis module and each fault feature in the fault feature library based on the real-time parameters of the data acquisition module, adopts a similarity matching algorithm to locate the fault type, then introduces a causal inference model through an optical cable health state trend chart, analyzes the fault conduction path and root cause by combining the data before and after the fault occurrence, and finally outputs a fault cause analysis report and simultaneously proposes a targeted overhaul suggestion.
2. The power communication optical cable operation analysis and detection system according to claim 1, wherein a marking storage unit is arranged in the data acquisition module, and the data packet can be marked and stored according to a time sequence by using the marking storage unit.
3. The power communication optical cable operation analysis and detection system according to claim 1, wherein the optical cable health state trend graph comprises an optical power parameter change curve, a performance degradation early warning threshold line and a remaining life countdown identifier, and supports parallel display of multi-optical cable node states.
4. The system for analyzing and detecting operation of an electrical power communication optical cable according to claim 1, wherein the fault intelligent diagnosis module is externally connected with an alarm module, and when the fault characteristics are matched, the alarm module is triggered to send out an alarm signal.
5. The power communication cable operation analysis and detection system according to claim 1 wherein said fault signature library comprises at least a characterization of three typical fault modes of sudden fiber breakage, progressive bending loss, and connector contamination.
6. The power communication optical cable operation analysis and detection system according to claim 1, wherein the model construction component is externally connected with a verification module, and the verification module can be used for verifying the accuracy of an optical cable performance degradation model through a simulation platform, so that optimization of a model parameter threshold is achieved.

Description

Operation analysis and detection system for electric power communication optical cable Technical Field The invention belongs to the technical field of electric power optical cable detection, and particularly relates to an electric power communication optical cable operation analysis and detection system. Background The stability of the power communication optical cable is directly related to the safe operation of a power grid system as a transmission carrier of core services such as power grid dispatching, relay protection, automatic control and the like, the traditional operation and maintenance mode mainly relies on annual manual standby fiber core test to acquire discrete data of the performance of the optical cable, the monitoring capability of the real-time operation state of the optical cable is lacked, more than 90% of faults are difficult to discover in time due to hidden problems such as ageing of an optical cable joint, accumulation of microbending loss and the like, passive rush repair is performed after the faults occur, meanwhile, the analysis of the fault cause of the optical cable mostly depends on manual experience, and certain defects exist in the aspects of accuracy and timeliness, so that the intelligent, efficient, accurate and convenient power communication optical cable operation analysis and detection system is necessary to solve the problems. Disclosure of Invention The invention aims to overcome the defects of the prior art and provides an intelligent, efficient, accurate and convenient power communication optical cable operation analysis and detection system. The invention aims to realize the operation analysis and detection system of the electric power communication optical cable, which comprises a data acquisition module, a data processing module, a model construction assembly, a graph construction module, a history information storage module and a fault intelligent diagnosis module, wherein the data acquisition module is provided with an optical power acquisition unit and a timing control unit, the optical power acquisition unit is used for acquiring the light intensity, the wavelength drift amount, the signal to noise ratio and the optical loss value of an optical cable transceiving optical path, and the timing control unit dynamically adjusts the data acquisition frequency according to the optical cable operation state based on a self-adaptive period acquisition algorithm and integrates the data acquired in the same period to form a data packet; the data processing module can perform cleaning, filtering, normalization and fusion processing on optical cable data in the data packet; The model building component can process parameter time sequence characteristics through a time sequence decomposition algorithm based on optical cable data information in the data packet, and build an optical cable performance degradation model by combining a machine learning algorithm; then, the optical power attenuation trend in a specific time period in the future is predicted by training and learning the historical data by using the optical cable performance degradation model, namely, the output of the predicted value of the residual life of the optical cable, the performance degradation rate and the health degree score is realized by inputting real-time parameter data; the graph construction module can generate an optical cable health state trend graph based on the output result of the optical cable performance degradation model; the historical information storage module can be used for acquiring and storing power abnormality characteristics of the historical faults of the power communication optical cable and corresponding maintenance schemes, and establishing a fault characteristic library based on the historical fault abnormality characteristics and the corresponding maintenance schemes; The intelligent fault diagnosis module can calculate the similarity between the intelligent fault diagnosis module and each fault feature in the fault feature library based on the real-time parameters of the data acquisition module, adopts a similarity matching algorithm to locate the fault type, then introduces a causal inference model through an optical cable health state trend chart, analyzes the fault conduction path and root cause by combining the data before and after the fault occurrence, and finally outputs a fault cause analysis report and simultaneously proposes a targeted overhaul suggestion. Furthermore, a marking storage unit is arranged in the data acquisition module, and the data packet can be marked and stored by the marking storage unit according to a time sequence. Furthermore, the optical cable health state trend chart comprises an optical power parameter change curve, a performance decline early warning threshold line and a remaining life countdown mark, and supports parallel display of the states of the nodes of the optical cables. Furthermore, the fault intelligent diagnosis module is e