CN119935298B - Cable external damage prevention monitoring system and method - Google Patents
Cable external damage prevention monitoring system and methodInfo
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- CN119935298B CN119935298B CN202510438128.4A CN202510438128A CN119935298B CN 119935298 B CN119935298 B CN 119935298B CN 202510438128 A CN202510438128 A CN 202510438128A CN 119935298 B CN119935298 B CN 119935298B
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Abstract
本发明涉及一种电缆防外破监测系统及方法，涉及电缆防外破监测技术领域，包括：监测获取电缆的监测信号序列，以及采集扰动参数序列；根据监测信号序列进行振动频率和振动幅度的区间分析，获得振动频率区间和振动幅度区间，计算获得第一扰动概率；根据第一扰动概率对监测信号序列进行扰动概率预测，获得第二扰动概率，结合第一扰动概率计算获得外破概率，作为防外破监测结果，并发送预警信息。通过本发明可以解决传统方法无法有效区分电缆扰动干扰与外破事件，容易在扰动环境下发生误判，导致电缆防外破监测的准确性和可靠性较低的技术问题；能够在复杂环境下精准识别外破事件，显著提高电缆防外破监测的准确性和可靠性。
The present invention relates to a cable anti-external damage monitoring system and method, and relates to the technical field of cable anti-external damage monitoring, including: monitoring and obtaining a monitoring signal sequence of a cable, and collecting a disturbance parameter sequence; performing interval analysis of vibration frequency and vibration amplitude according to the monitoring signal sequence, obtaining a vibration frequency interval and a vibration amplitude interval, and calculating to obtain a first disturbance probability; performing disturbance probability prediction on the monitoring signal sequence according to the first disturbance probability, obtaining a second disturbance probability, and calculating the external damage probability in combination with the first disturbance probability as an anti-external damage monitoring result, and sending an early warning message. The present invention can solve the technical problem that the traditional method cannot effectively distinguish between cable disturbance interference and external damage events, and is prone to misjudgment in a disturbed environment, resulting in low accuracy and reliability of cable anti-external damage monitoring; it can accurately identify external damage events in complex environments, and significantly improve the accuracy and reliability of cable anti-external damage monitoring.
Description
Technical Field
The invention relates to the technical field of cable external damage prevention monitoring, in particular to a cable external damage prevention monitoring system and method.
Background
The optical fiber sensing technology, particularly phi-OTDR (distributed optical fiber sensing technology), is widely applied to cable external damage prevention monitoring, and the technology utilizes the propagation characteristics of optical signals in optical fibers to effectively identify whether the cable is interfered by external force or not by detecting tiny changes (such as vibration, strain and the like) in the optical fibers.
The buried laying of the cable can greatly save investment as the materials such as electric poles, porcelain insulators, cross arms, stay wires and the like are not needed, and the buried laying of the cable has become a trend of future cable erection. When phi-OTDR is adopted to perform external damage monitoring on buried cables, the vibration of animals, people and vehicles passing through the cables can cause disturbance vibration of the cables to cause signal change, however, the traditional phi-OTDR monitoring method usually relies on a fixed threshold to identify external damage events, so that tiny vibration generated by disturbance can be misjudged as external damage signals, misalarm is triggered, misalarm rate is increased, and accuracy and reliability of cable external damage prevention monitoring are affected.
Disclosure of Invention
Aiming at the technical problems that the traditional phi-OTDR monitoring method cannot effectively distinguish cable disturbance and external damage events, misjudgment is easy to occur under disturbance, and the accuracy and reliability of cable external damage prevention monitoring are low, the invention provides a cable external damage prevention monitoring system and method for solving the problems.
The technical scheme for solving the technical problems is as follows:
The invention provides an external damage prevention monitoring system for a cable, which comprises a data monitoring acquisition module, a vibration characteristic interval analysis module and an external damage probability calculation module, wherein the data monitoring acquisition module is used for monitoring and acquiring a monitoring signal sequence of the cable through external damage monitoring equipment based on phi-OTDR, the vibration characteristic interval analysis module is used for carrying out interval analysis of vibration frequency and vibration amplitude according to the monitoring signal sequence to obtain a vibration frequency interval and a vibration amplitude interval, calculating and obtaining a first disturbance probability, and the external damage probability calculation module is used for carrying out disturbance probability prediction on the monitoring signal sequence according to the first disturbance probability to obtain a second disturbance probability, calculating and obtaining the external damage probability by combining with the first disturbance probability to serve as an external damage prevention monitoring result and sending early warning information.
Preferably, the cable anti-external-damage monitoring system is further used for monitoring the cable through external-damage monitoring equipment based on phi-OTDR, obtaining monitoring signals and obtaining a monitoring signal sequence according to time sequence arrangement.
Preferably, the cable anti-external-damage monitoring system is further used for extracting the vibration frequency and the vibration amplitude of the monitoring signal sequence to obtain a vibration frequency set and a vibration amplitude set, extracting the maximum vibration frequency, the minimum vibration frequency, the maximum vibration amplitude and the minimum vibration amplitude in the vibration frequency set and the vibration amplitude set, generating a vibration frequency interval and a vibration amplitude interval according to the maximum vibration frequency, the minimum vibration frequency, the maximum vibration amplitude and the minimum vibration amplitude, and calculating to obtain the first disturbance probability according to the vibration frequency interval and the vibration amplitude interval.
The cable anti-external-damage monitoring system is further used for acquiring a total vibration frequency interval and a total vibration amplitude interval according to monitoring signals of the external-damage monitoring equipment in historical time, acquiring a historical disturbance vibration frequency interval set and a historical disturbance vibration amplitude interval set according to monitoring signals when the external-damage monitoring equipment monitors disturbance in historical time, calculating interval length ratio of each historical disturbance vibration frequency interval and each historical disturbance vibration amplitude interval in the historical disturbance vibration frequency interval set and the historical disturbance vibration amplitude interval set to the total vibration frequency interval and the total vibration amplitude interval, calculating average disturbance frequency occupation ratio and average disturbance amplitude occupation ratio, calculating ratio of the vibration frequency interval and the vibration amplitude interval to the total vibration frequency interval and the total vibration amplitude interval, obtaining disturbance frequency occupation ratio and disturbance amplitude occupation ratio, calculating similarity of the disturbance frequency occupation ratio and the disturbance amplitude occupation ratio to the average disturbance frequency occupation ratio and average disturbance amplitude occupation ratio, and calculating average value to obtain first disturbance probability.
The cable anti-external-damage monitoring system is further used for training disturbance integrated recognition paths for carrying out disturbance probability recognition on the monitoring signal sequence, M disturbance recognition paths are included in the disturbance integrated recognition paths, N disturbance recognition paths are obtained through calculation configuration according to the first disturbance probability, the monitoring signal sequence is input into the N disturbance recognition paths, N disturbance probabilities are obtained through recognition, a mean value is calculated to obtain a second disturbance probability, and N is greater than or equal to 1 and less than or equal to M.
The cable anti-external damage monitoring system is further used for collecting a sample monitoring signal sequence set according to monitoring data of the internal and external damage monitoring equipment in historical time, collecting the proportion of disturbance interference of a cable under the sample monitoring signal sequence with the same average vibration frequency and the same vibration amplitude, marking the proportion as a sample disturbance probability set, randomly selecting M disturbance recognition training data in the sample monitoring signal sequence set and the sample disturbance probability set, training M disturbance recognition paths based on the M disturbance recognition training data by machine learning, and integrating the disturbance integrated recognition paths.
Preferably, the cable anti-outward-breakage monitoring system is further used for calculating the average value of the first disturbance probability and the second disturbance probability to obtain total disturbance probability, calculating to obtain outward-breakage probability according to the total disturbance probability, taking the outward-breakage probability as an anti-outward-breakage monitoring result, and sending early warning information.
The invention provides a cable external damage prevention monitoring method, which comprises the steps of monitoring and obtaining a monitoring signal sequence of a cable through external damage monitoring equipment based on phi-OTDR, collecting a disturbance parameter sequence in an environment where the cable is located, analyzing intervals of vibration frequency and vibration amplitude according to the monitoring signal sequence to obtain a vibration frequency interval and a vibration amplitude interval, calculating to obtain a first disturbance probability, predicting the disturbance probability of the monitoring signal sequence according to the first disturbance probability to obtain a second disturbance probability, calculating to obtain the external damage probability by combining the first disturbance probability, taking the external damage probability as an external damage prevention monitoring result, and sending early warning information.
The method has the advantages that a monitoring signal sequence of a cable is obtained through monitoring based on external damage monitoring equipment of phi-OTDR, then interval analysis of vibration frequency and vibration amplitude is carried out according to the monitoring signal sequence to obtain a vibration frequency interval and a vibration amplitude interval, a first disturbance probability is obtained through calculation, further disturbance probability prediction is carried out on the monitoring signal sequence according to the first disturbance probability to obtain a second disturbance probability, finally the average value of the first disturbance probability and the second disturbance probability is calculated to obtain a total disturbance probability, the external damage probability is obtained through calculation according to the total disturbance probability to serve as an external damage prevention monitoring result, and early warning information is sent.
Drawings
Fig. 1 is a schematic structural diagram of a cable anti-external-damage monitoring system provided by the invention.
Fig. 2 is a schematic flow chart of a cable anti-external-damage monitoring method provided by the invention;
in the drawings, the components represented by the respective reference numerals are described as follows:
the data monitoring and acquiring module 11, the vibration characteristic interval analyzing module 12 and the external damage probability calculating module 13.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In the description of the present invention, the terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more of the described features. In the description of the present invention, the meaning of "a plurality" is two or more, unless explicitly defined otherwise.
In the description of the present invention, the term "for example" is used to mean "serving as an example, instance, or illustration. Any embodiment described as "for example" in this disclosure is not necessarily to be construed as preferred or advantageous over other embodiments. The following description is presented to enable any person skilled in the art to make and use the invention. In the following description, details are set forth for purposes of explanation. It will be apparent to one of ordinary skill in the art that the present invention may be practiced without these specific details. In other instances, well-known structures and processes have not been described in detail so as not to obscure the description of the invention with unnecessary detail. Thus, the present invention is not intended to be limited to the embodiments shown, but is to be accorded the widest scope consistent with the principles and features disclosed herein.
An embodiment of the present invention provides a cable anti-external damage monitoring system, as shown in fig. 1, including:
the data monitoring and acquiring module 11 is used for monitoring and acquiring a monitoring signal sequence of the cable through an external-damage monitoring device based on phi-OTDR.
Further, the data monitoring and acquiring module 11 is further configured to:
And monitoring the cable through external damage monitoring equipment based on phi-OTDR, obtaining monitoring signals, and obtaining a monitoring signal sequence according to time sequence arrangement.
Specifically, the phi-OTDR technology is based on the Rayleigh scattering principle, by emitting narrow linewidth pulse light and detecting returned backward scattering signals, the phase information can reflect tiny vibration changes along the optical fiber path, when the optical fiber is subjected to external force (such as mechanical disturbance), the phase of the scattered light signals changes, and the changes can be captured by utilizing the coherent detection technology, so that the accurate identification of external disturbance events is realized. The cable is continuously monitored by using the external damage monitoring equipment based on phi-OTDR, the equipment can sense the tiny change of the cable under the conditions of stress, vibration and the like by transmitting laser pulses and detecting echo signals, a group of optical fiber signal data can be generated during each monitoring, the signals can be obtained in real time through an optical fiber network, and a complete monitoring signal sequence is recorded and formed according to time sequence, and reflects the state change of the cable in different time periods.
The stress condition of the cable is not only possibly damaged by the outside, but also influenced by environmental factors such as disturbance, and the vibration of the cable can be influenced by external vibration under the environment of vibration disturbance generated by human, animals and vehicle animals, so that monitoring signals generated by the external disturbance possibly exist in the monitoring signal sequence, and the subsequent external damage monitoring is performed by collecting the monitoring signal sequence.
And the vibration characteristic interval analysis module 12 is configured to perform interval analysis of vibration frequency and vibration amplitude according to the monitoring signal sequence, obtain a vibration frequency interval and a vibration amplitude interval, and calculate to obtain a first disturbance probability.
Further, the vibration signature interval analysis module 12 is further configured to:
Extracting the vibration frequency and the vibration amplitude of the monitoring signal sequence to obtain a vibration frequency set and a vibration amplitude set, extracting the maximum vibration frequency, the minimum vibration frequency, the maximum vibration amplitude and the minimum vibration amplitude in the vibration frequency set and the vibration amplitude set, and generating a vibration frequency interval and a vibration amplitude interval according to the maximum vibration frequency, the minimum vibration frequency, the maximum vibration amplitude and the minimum vibration amplitude.
Specifically, firstly, the vibration frequency and vibration amplitude at each monitoring time point in the monitoring signal sequence are extracted, that is, the time domain signal is converted into the frequency domain signal through signal processing technologies such as fourier transform, so as to extract frequency components and amplitude information in the signal, for example, the monitoring signal sequence is subjected to frequency domain analysis, and each frequency component in the signal is extracted through methods such as FFT, wherein for an external breaking event, the frequency is relatively high, the frequency generated by disturbance interference is usually low, for example, the frequency of the signal caused by disturbance generated by passing of a person, an animal or a vehicle is usually 0.1-30Hz, and the frequency of the signal generated when the external breaking event occurs is usually 0.1-100Hz, so that gradual disturbance or identification of the external breaking event can be performed based on the frequency components. The amplitude analysis is carried out on the signals to obtain the amplitude of the vibration, wherein the external disturbance is usually accompanied by smaller vibration amplitude, such as 0.1mm-1mm. The external breaking event can generate larger vibration amplitude, such as 1mm-3mm. And extracting the vibration amplitude of the signal to obtain a vibration amplitude set.
Then, the maximum vibration frequency, the minimum vibration frequency, the maximum vibration amplitude and the minimum vibration amplitude in the vibration frequency set and the vibration amplitude set are extracted, a vibration frequency interval is built according to the maximum vibration frequency and the minimum vibration frequency, namely the minimum vibration frequency is used as the lower limit of the vibration frequency interval, the maximum vibration frequency is used as the upper limit of the vibration frequency interval, and the vibration amplitude interval is built according to the maximum vibration amplitude and the minimum vibration amplitude.
And calculating to obtain a first disturbance probability according to the vibration frequency interval and the vibration amplitude interval.
Further, the invention also comprises the following steps:
The method comprises the steps of obtaining a total vibration frequency interval and a total vibration amplitude interval according to monitoring signals of external damage monitoring equipment in historical time, obtaining a historical disturbance vibration frequency interval set and a historical disturbance vibration amplitude interval set according to monitoring signals of the external damage monitoring equipment in the historical time, calculating interval length ratio of each historical disturbance vibration frequency interval and each historical disturbance vibration amplitude interval in the historical disturbance vibration frequency interval set and the historical disturbance vibration amplitude interval to the total vibration frequency interval and the total vibration amplitude interval, calculating average disturbance frequency occupation ratio and average disturbance amplitude occupation ratio, calculating ratio of the vibration frequency interval and the vibration amplitude interval to the total vibration frequency interval and the total vibration amplitude interval, obtaining disturbance frequency occupation ratio and disturbance amplitude occupation ratio, calculating similarity of the disturbance frequency occupation ratio and the disturbance amplitude occupation ratio to the average disturbance frequency occupation ratio and average disturbance amplitude occupation ratio, and calculating average value to obtain first disturbance probability.
Specifically, firstly, according to the history monitoring signal of the external damage monitoring device in the history time (such as the last month), all vibration frequencies in the history monitoring data are extracted, the maximum history vibration frequency and the minimum history vibration frequency are obtained, then the minimum history vibration frequency is taken as a lower limit, the maximum history vibration frequency is taken as an upper limit, a total vibration frequency interval is constructed, all vibration amplitudes in the history monitoring data are extracted, the maximum history vibration amplitude and the minimum history vibration amplitude are obtained, then the minimum history vibration amplitude is taken as a lower limit, and the maximum history vibration amplitude is taken as an upper limit, and the total vibration amplitude interval is constructed.
On the other hand, according to the monitoring signal when the disturbance is monitored by the external disturbance monitoring device in the historical time (such as the last month), namely by analyzing the historical monitoring signal in the disturbance environment, the vibration frequency and amplitude range corresponding to the disturbance interference are extracted, firstly, according to the monitoring record in the historical time, the vibration signal sequence which is clearly caused by the disturbance (such as the signal monitored when a person or a vehicle is confirmed to pass through) is extracted, then, the vibration frequencies in all disturbance interference data are counted, the maximum value and the minimum value of the vibration frequency are obtained, a historical disturbance vibration frequency interval is constructed, the vibration amplitude in all disturbance interference data is counted, the maximum value and the minimum value of the vibration frequency are obtained, and the historical disturbance vibration amplitude interval is formed.
Then, the interval length ratio of each historical disturbance vibration frequency interval to the total vibration frequency interval in the historical disturbance vibration frequency interval set is calculated respectively and is set as a disturbance frequency duty ratio, so that a plurality of disturbance frequency duty ratios are obtained, for example, the length of the first historical disturbance vibration frequency interval is 5 Hz to 10 Hz on the assumption that the first historical disturbance vibration frequency interval is 5 Hz, the length of the total vibration frequency interval is 100 Hz on the assumption that the total vibration frequency interval is 1 Hz to 101 Hz, the first disturbance frequency duty ratio is 5/100 and is equal to 0.05, and then average disturbance frequency duty ratio is obtained by carrying out average calculation on the plurality of disturbance frequency duty ratios. On the other hand, the ratio of the length of each historical disturbance vibration amplitude interval to the length of the total vibration amplitude interval in the set of the historical disturbance vibration amplitude intervals is calculated respectively and is set as a disturbance amplitude duty ratio, so that a plurality of disturbance amplitude duty ratios are obtained, for example, assuming that the first historical disturbance vibration amplitude interval is 0.3 mm to 0.6 mm and the total vibration amplitude interval is 0.1 mm to 2.1 mm, the first disturbance amplitude duty ratio is (0.6-0.3)/(2.1-0.1) and is equal to 0.15, and average disturbance amplitude duty ratio is obtained by further carrying out average calculation on the plurality of disturbance amplitude duty ratios.
Then, the ratio of the vibration frequency interval to the total vibration frequency interval is calculated to be a disturbance frequency duty ratio, the ratio of the vibration amplitude interval to the total vibration amplitude interval is calculated to be a disturbance amplitude duty ratio, and the disturbance frequency duty ratio and the disturbance amplitude duty ratio are obtained. And then, calculating the similarity between the disturbance frequency duty ratio and the average disturbance frequency duty ratio to obtain the disturbance frequency similarity, wherein the disturbance frequency similarity is 1 minus the ratio of the absolute value of the difference between the disturbance frequency duty ratio and the average disturbance frequency duty ratio to the difference between the average disturbance frequency duty ratio, for example, assuming that the disturbance frequency duty ratio is 0.16 and the average disturbance frequency duty ratio is 0.2, the absolute value of the difference between the disturbance frequency duty ratio and the average disturbance frequency duty ratio is 0.04, the similarity between the disturbance frequency duty ratio and the average disturbance frequency duty ratio is 1 minus 0.04/0.2 and is equal to 0.8, namely, the similarity between the disturbance frequency duty ratio and the average disturbance frequency duty ratio is 80%, and the smaller the difference is, the higher the similarity is.
And then, carrying out average value calculation on the disturbance frequency similarity and the disturbance amplitude similarity, and taking the average value calculation result as a first disturbance probability, wherein the first disturbance probability reflects the similarity of the current signal and the historical disturbance characteristic, and the higher the value is, the more likely the current signal is disturbance interference rather than external break event.
And the external damage probability calculation module 13 is configured to predict the disturbance probability of the monitoring signal sequence according to the first disturbance probability, obtain a second disturbance probability, calculate and obtain the external damage probability by combining the first disturbance probability, use the external damage probability as an external damage prevention monitoring result, and send early warning information.
Further, the external fracture probability calculation module 13 is further configured to:
and training disturbance integrated recognition paths for carrying out disturbance probability recognition on the monitoring signal sequence, wherein M disturbance recognition paths are included in the disturbance integrated recognition paths.
Further, the invention also comprises the following steps:
According to monitoring data of the monitoring equipment in and out of the historical time, a sample monitoring signal sequence set is collected, the proportion of disturbance interference of a cable under the sample monitoring signal sequence with the same average vibration frequency and the same vibration amplitude is collected and marked as a sample disturbance probability set, M disturbance recognition training data are randomly selected in the sample monitoring signal sequence set and the sample disturbance probability set, machine learning is adopted, M disturbance recognition paths are trained based on the M disturbance recognition training data, and disturbance integrated recognition paths are obtained in an integrated mode.
Specifically, according to the monitoring data of the internal and external broken monitoring equipment in the historical time (such as the last month), a plurality of sample monitoring signal sequences are collected, the monitoring signal sequences should cover various environmental conditions and event types (such as disturbance interference, external broken events and the like), and a sample monitoring signal sequence set is constructed. The ratio of the cable disturbed by the disturbance under the sample monitoring signal sequences with the same average vibration frequency and the same vibration amplitude is then acquired, i.e. for each set of signal sequences, the ratio of the cable disturbed by the disturbance is calculated. This duty cycle represents the frequency at which disturbance occurs under the same vibration frequency and vibration amplitude, and the calculation of the disturbance duty cycle can be based on a statistical method, and the disturbance duty cycle is marked as a sample disturbance probability, for example, the duty cycle of disturbance to the cable under the signal sequences of the group is calculated for the signal sequences with the same vibration characteristics (for example, the vibration frequency is 10Hz and the vibration amplitude is 1 mm), and the disturbance probability of the group is 0.8 if the cable is disturbed by disturbance under 80% of the samples of the signal sequences and damaged by external damage events under 20% of the samples of the signal sequences, so as to obtain a sample disturbance probability set by a plurality of sample disturbance probabilities.
And then taking the sample monitoring signal sequence set and the sample disturbance probability set as sample data sets, and equally dividing the sample data sets into M parts to obtain M training sets, wherein M is an integer greater than 10, and the specific value of M can be set according to actual requirements. The method comprises the steps of further constructing a disturbance recognition path based on machine learning, for example, constructing a disturbance recognition path based on a BP neural network, wherein the disturbance recognition path is a BP neural network model capable of performing iterative optimization in the machine learning and comprises an input layer, a plurality of hidden layers and an output layer, wherein input data of the input layer are monitoring signal sequences, and output data of the output layer are disturbance probabilities.
The method comprises the steps of taking a sample monitoring signal sequence as input, taking sample disturbance probability as supervision, adopting M training sets to respectively conduct supervision training on a BP neural network until convergence to obtain M disturbance recognition paths, for example, selecting a first training set to conduct supervision training on a first disturbance recognition path, firstly, inputting the monitoring signal sequence, calculating through an input layer and a hidden layer to finally generate disturbance probability at an output layer, then calculating an error between an output value and the actual disturbance probability by using a loss function, then, minimizing the error by adjusting weights and offsets in the network by using an error back propagation algorithm, and optimizing parameters of the network by a gradient descent method, and further repeating forward propagation, error calculation and back propagation steps until the loss function converges, for example, the loss is less than 0.005, namely, the weight and offset of the network are stable, the error approaches to the minimum value, and then obtaining the trained first disturbance recognition path. And finally, combining the M disturbance recognition paths to construct a disturbance integrated recognition path.
By constructing the disturbance recognition path based on machine learning, the probability of disturbance interference can be predicted by monitoring the vibration characteristics in the signal sequence, so that the efficient and accurate recognition of the disturbance interference of the cable is realized, the accuracy of monitoring the cable against external damage is improved, and false alarm is reduced.
According to the first disturbance probability, N disturbance recognition paths are obtained through calculation configuration, the monitoring signal sequence is input into the N disturbance recognition paths, N disturbance probabilities are obtained through recognition, a second disturbance probability is obtained through calculation of an average value, and N is greater than or equal to 1 and less than or equal to M.
Specifically, N is obtained by multiplying the first disturbance probability by M, for example, assuming that the first disturbance probability is 0.8 and M is 20, N is 16, then randomly selecting N disturbance recognition paths from the M disturbance recognition paths, inputting the monitoring signal sequence into the N disturbance recognition paths to perform disturbance probability recognition, outputting a disturbance probability by each recognition path, indicating the probability that the path recognizes disturbance under a given signal sequence, obtaining N disturbance probabilities, and calculating a mean value to obtain a second disturbance probability.
The disturbance probability analysis is carried out by setting the number of the disturbance recognition paths which are matched according to the first disturbance probability, so that the condition that the number of the disturbance recognition paths is too large or too small can be avoided, if the first disturbance probability is low, fewer recognition paths can be properly selected, thus being beneficial to centralizing computing power resources and avoiding redundant calculation, and if the first disturbance probability is high, more recognition paths are needed to increase the recognition accuracy, so that the computing load and the recognition accuracy can be effectively balanced, and the computing power resources are reasonably utilized.
Further, the external fracture probability calculation module 13 is further configured to:
and calculating the average value of the first disturbance probability and the second disturbance probability to obtain a total disturbance probability, calculating to obtain an external damage probability according to the total disturbance probability, taking the external damage probability as an external damage prevention monitoring result, and sending early warning information.
The method comprises the steps of carrying out average value calculation on the first disturbance probability and the second disturbance probability to obtain total disturbance probability, subtracting the total disturbance probability from 1, taking the difference value of the first disturbance probability and the second disturbance probability as external damage probability, for example, assuming that the first disturbance probability is 0.8, the second disturbance probability is 0.76, the total disturbance probability is 0.78, the external damage probability is 1-0.78 and is equal to 0.22, taking the external damage probability as an external damage prevention monitoring result, and sending early warning information, for example, prompting maintenance personnel of a cable to carry out cable maintenance operation according to the external damage prevention monitoring result, so that the influence on power transmission caused by the fact that the cable cannot be maintained in time when the external damage occurs is avoided.
The cable anti-external-damage monitoring system provided by the embodiment of the invention has at least the following technical effects:
The method comprises the steps of monitoring and obtaining a monitoring signal sequence of a cable through external damage monitoring equipment based on phi-OTDR, collecting a disturbance parameter sequence in an environment where the cable is located, analyzing intervals of vibration frequency and vibration amplitude according to the monitoring signal sequence to obtain a vibration frequency interval and a vibration amplitude interval, calculating to obtain a first disturbance probability, further predicting the disturbance probability of the monitoring signal sequence according to the first disturbance probability to obtain a second disturbance probability, finally calculating the average value of the first disturbance probability and the second disturbance probability to obtain a total disturbance probability, calculating to obtain the external damage probability according to the total disturbance probability to serve as an external damage prevention monitoring result, and sending early warning information.
In a second embodiment, as shown in fig. 2, based on the same inventive concept of the cable external damage prevention monitoring system provided in the first embodiment, the embodiment of the invention further provides a cable external damage prevention monitoring method, which includes monitoring and obtaining a monitoring signal sequence of a cable through external damage monitoring equipment based on phi-OTDR, analyzing intervals of vibration frequency and vibration amplitude according to the monitoring signal sequence to obtain a vibration frequency interval and a vibration amplitude interval, calculating to obtain a first disturbance probability, predicting the disturbance probability of the monitoring signal sequence according to the first disturbance probability to obtain a second disturbance probability, calculating to obtain an external damage probability by combining the first disturbance probability, and sending early warning information as an external damage prevention monitoring result.
Further, the cable external damage prevention monitoring method further comprises the steps of monitoring the cable through external damage monitoring equipment based on phi-OTDR, obtaining monitoring signals, and obtaining a monitoring signal sequence according to time sequence arrangement.
The cable breakage-proof monitoring method further comprises the steps of extracting the vibration frequency and the vibration amplitude of the monitoring signal sequence to obtain a vibration frequency set and a vibration amplitude set, extracting the maximum vibration frequency, the minimum vibration frequency, the maximum vibration amplitude and the minimum vibration amplitude in the vibration frequency set and the vibration amplitude set, generating a vibration frequency interval and a vibration amplitude interval according to the maximum vibration frequency, the minimum vibration frequency, the maximum vibration amplitude and the minimum vibration amplitude, and calculating to obtain a first disturbance probability according to the vibration frequency interval and the vibration amplitude interval.
The cable external damage prevention monitoring method further comprises the steps of obtaining a total vibration frequency interval and a total vibration amplitude interval according to monitoring signals of the external damage monitoring equipment in historical time, obtaining a historical disturbance vibration frequency interval set and a historical disturbance vibration amplitude interval set according to monitoring signals when the external damage monitoring equipment monitors disturbance in historical time, calculating interval length ratio of each historical disturbance vibration frequency interval and each historical disturbance vibration amplitude interval in the historical disturbance vibration frequency interval set and the historical disturbance vibration amplitude interval set to the total vibration frequency interval and the total vibration amplitude interval, calculating average disturbance frequency duty ratio and average disturbance amplitude duty ratio, calculating ratio of the vibration frequency interval and the vibration amplitude interval to the total vibration frequency interval and the total vibration amplitude interval, obtaining disturbance frequency duty ratio and disturbance amplitude duty ratio, calculating similarity of the disturbance frequency duty ratio and the average disturbance frequency duty ratio and average disturbance amplitude duty ratio, and calculating average value to obtain first disturbance probability.
The cable external damage prevention monitoring method further comprises the steps of training disturbance integrated recognition paths for carrying out disturbance probability recognition on the monitoring signal sequence, wherein M disturbance recognition paths are included in the disturbance integrated recognition paths, obtaining N disturbance recognition paths through calculation configuration according to the first disturbance probability, inputting the monitoring signal sequence into the N disturbance recognition paths, recognizing the N disturbance recognition paths to obtain N disturbance probabilities, and calculating a mean value to obtain a second disturbance probability, wherein N is greater than or equal to 1 and less than or equal to M.
The cable outward breakage prevention monitoring method further comprises the steps of collecting a sample monitoring signal sequence set according to monitoring data of the inner and outer breakage monitoring equipment in historical time, collecting the duty ratio of disturbance interference of a cable under the sample monitoring signal sequence with the same average vibration frequency and the same vibration amplitude, marking the duty ratio as a sample disturbance probability set, randomly selecting M disturbance recognition training data in the sample monitoring signal sequence set and the sample disturbance probability set, training M disturbance recognition paths based on the M disturbance recognition training data by machine learning, and integrating the disturbance integrated recognition paths.
Further, the cable external damage prevention monitoring method further comprises the steps of calculating the average value of the first disturbance probability and the second disturbance probability to obtain total disturbance probability, calculating the external damage prevention probability according to the total disturbance probability to obtain an external damage prevention monitoring result, and sending early warning information.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the present invention and the equivalent techniques thereof, the present invention is also intended to include such modifications and variations.
Claims (7)
1. A cable tamper-resistant monitoring system, the system comprising:
The data monitoring and acquiring module is used for monitoring and acquiring a monitoring signal sequence of the cable through external-damage monitoring equipment based on phi-OTDR;
The vibration characteristic interval analysis module is used for carrying out interval analysis of vibration frequency and vibration amplitude according to the monitoring signal sequence to obtain a vibration frequency interval and a vibration amplitude interval, and calculating to obtain a first disturbance probability;
The external damage probability calculation module is used for carrying out disturbance probability prediction on the monitoring signal sequence according to the first disturbance probability to obtain a second disturbance probability, calculating to obtain the external damage probability by combining the first disturbance probability, taking the external damage probability as an external damage prevention monitoring result, and sending early warning information;
and predicting the disturbance probability of the monitoring signal sequence according to the first disturbance probability to obtain a second disturbance probability, wherein the method comprises the following steps:
training disturbance integrated recognition paths for carrying out disturbance probability recognition on the monitoring signal sequences, wherein M disturbance recognition paths are included in the disturbance integrated recognition paths;
according to the first disturbance probability, N disturbance recognition paths are obtained through calculation configuration, the monitoring signal sequence is input into the N disturbance recognition paths, N disturbance probabilities are obtained through recognition, a second disturbance probability is obtained through calculation of an average value, and N is greater than or equal to 1 and less than or equal to M.
2. The cable anti-external damage monitoring system of claim 1, wherein the monitoring of the acquisition cable for the monitoring signal sequence and the acquisition of the disturbance parameter sequence in the environment of the cable by the external damage monitoring device based on phi-OTDR comprises:
And monitoring the cable through external damage monitoring equipment based on phi-OTDR, obtaining monitoring signals, and obtaining a monitoring signal sequence according to time sequence arrangement.
3. The cable anti-external damage monitoring system of claim 1, wherein performing an interval analysis of a vibration frequency and a vibration amplitude according to the monitoring signal sequence to obtain a vibration frequency interval and a vibration amplitude interval, and calculating to obtain a first disturbance probability comprises:
extracting the vibration frequency and the vibration amplitude of the monitoring signal sequence to obtain a vibration frequency set and a vibration amplitude set;
Extracting the maximum vibration frequency, the minimum vibration frequency, the maximum vibration amplitude and the minimum vibration amplitude in the vibration frequency set and the vibration amplitude set;
generating a vibration frequency interval and a vibration amplitude interval according to the maximum vibration frequency, the minimum vibration frequency, the maximum vibration amplitude and the minimum vibration amplitude;
And calculating to obtain a first disturbance probability according to the vibration frequency interval and the vibration amplitude interval.
4. The cable anti-external damage monitoring system of claim 3, wherein calculating a first disturbance probability from the vibration frequency interval and the vibration amplitude interval comprises:
acquiring a total vibration frequency interval and a total vibration amplitude interval according to the monitoring signal of the external damage monitoring equipment in the historical time;
Acquiring a historical disturbance vibration frequency interval set and a historical disturbance vibration amplitude interval set according to a monitoring signal when disturbance is monitored by the external damage monitoring equipment in the historical time;
calculating the interval length ratio of each historical disturbance vibration frequency interval and each historical disturbance vibration amplitude interval in the historical disturbance vibration frequency interval set and the historical disturbance vibration amplitude interval set to the total vibration frequency interval and the total vibration amplitude interval, and calculating the average value to obtain the average disturbance frequency occupation ratio and the average disturbance amplitude occupation ratio;
Calculating the ratio of the vibration frequency interval and the vibration amplitude interval to the total vibration frequency interval and the total vibration amplitude interval to obtain a disturbance frequency duty ratio and a disturbance amplitude duty ratio;
and calculating the similarity between the disturbance frequency duty ratio and the disturbance amplitude duty ratio and the average disturbance frequency duty ratio and the average disturbance amplitude duty ratio, and calculating an average value to obtain a first disturbance probability.
5. The cable anti-outward-break monitoring system of claim 1, wherein training a disturbance integrated recognition path that performs disturbance probability recognition on a monitoring signal sequence comprises:
according to the monitoring data of the monitoring equipment in and out of the historical time, collecting a sample monitoring signal sequence set, and collecting the duty ratio of disturbance interference of a cable under the sample monitoring signal sequence with the same average vibration frequency and the same vibration amplitude, wherein the duty ratio is marked as a sample disturbance probability set;
Randomly selecting M disturbance recognition training data in the sample monitoring signal sequence set and the sample disturbance probability set;
and training M disturbance recognition paths based on M disturbance recognition training data by adopting machine learning, and integrating to obtain a disturbance integrated recognition path.
6. The cable anti-outward-breakage monitoring system according to claim 1, wherein the calculating to obtain the outward-breakage probability as the anti-outward-breakage monitoring result in combination with the first disturbance probability, and sending the early warning information comprises:
calculating the average value of the first disturbance probability and the second disturbance probability to obtain a total disturbance probability;
And calculating to obtain the external damage probability according to the total disturbance probability, taking the external damage probability as an external damage prevention monitoring result, and sending early warning information.
7. A cable anti-external damage monitoring method, characterized by being performed by a cable anti-external damage monitoring system according to any one of claims 1 to 6, comprising:
monitoring and acquiring a monitoring signal sequence of the cable through external breaking monitoring equipment based on phi-OTDR;
according to the monitoring signal sequence, performing interval analysis of vibration frequency and vibration amplitude to obtain a vibration frequency interval and a vibration amplitude interval, and calculating to obtain a first disturbance probability;
And according to the first disturbance probability, carrying out disturbance probability prediction on the monitoring signal sequence to obtain a second disturbance probability, combining the first disturbance probability, calculating to obtain an external damage probability, taking the external damage probability as an external damage prevention monitoring result, and sending early warning information.
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