CN115293258A - Method and system for monitoring and analyzing icing of transmission line conductor - Google Patents
Method and system for monitoring and analyzing icing of transmission line conductor Download PDFInfo
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Abstract
The invention relates to a method and a system for monitoring and analyzing icing of a transmission line conductor, wherein the method comprises the following steps: acquiring monitoring data of a power transmission line; inputting the monitoring data of the power transmission line into a trained conductor icing monitoring model to obtain a monitoring result; recognizing abnormal galloping of the lead according to the monitoring result, and monitoring the motion state of the lead; the method for determining the wire icing monitoring model comprises the following steps: determining lead training data based on a historical database; extracting the vibration information of the training power transmission line to obtain a vibration signal; respectively preprocessing the vibration signal, the trained power transmission line image and the power transmission line distance information, and performing data fusion on the preprocessed data to obtain fusion training data; and inputting the fusion training data into a preset training model for training to obtain a trained wire icing monitoring model. The invention can improve the monitoring precision of the icing state of the power transmission line and improve the ideal degree of the analysis result.
Description
Technical Field
The invention relates to the technical field of power transmission line inspection, in particular to a method and a system for monitoring and analyzing icing of a power transmission line wire.
Background
The power transmission and transformation equipment internet of things is the integration and application of the internet of things technology in the field of power transmission and transformation equipment, has the characteristics of intellectualization, diversification and ecology, and is an important component of the ubiquitous power internet of things of a company. In recent years, with the deepened construction of intelligent operation systems, the configuration range of intelligent sensing equipment such as unmanned planes, robots and the like is continuously expanded, the artificial intelligence diagnosis technology is developed and applied to a certain extent, and the practice of interconnection and intercommunication of equipment and operation information is initially developed in the management of power transmission and transformation equipment. With the gradual penetration of new technologies of the internet of things such as ubiquitous networks, artificial intelligence, edge computing and the like in the construction of strong intelligent power grids, the internet of things of the power transmission and transformation equipment enters a new stage of cross-border fusion, integrated innovation and large-scale development.
The monitoring of the state of a conveying line is carried out later in China, and the application of a diagnosis technology to carry out predictive maintenance is a development direction of equipment maintenance. It should be said that the condition maintenance has made a certain progress in China. Due to the technical restriction of the remote overhead transmission line comprehensive online monitoring system, the offline monitoring means in the existing mode is expected to be enhanced to promote the implementation of state monitoring, but many problems still exist.
The power transmission line can generate a galloping effect after being coated with ice, which has great harm to the safe operation of the power grid, so that how to effectively monitor the ice coating condition on the lead of the power transmission line is one of the problems needing to be solved urgently for the stable operation of the power grid.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention aims to provide a method and a system for monitoring and analyzing the icing of a transmission line conductor, which can improve the effect of monitoring and analyzing the icing condition of the transmission line conductor.
In order to achieve the purpose, the invention provides the following scheme:
a method for monitoring and analyzing icing of a transmission line conductor comprises the following steps:
acquiring monitoring data of a power transmission line; the power transmission line monitoring data comprise power transmission line images, power transmission line distance information and power transmission line vibration information;
inputting the monitoring data of the power transmission line into a trained conductor icing monitoring model to obtain a monitoring result;
based on a quartile method, identifying abnormal galloping of the lead according to the monitoring result, and monitoring the motion state of the lead;
the method for determining the wire icing monitoring model comprises the following steps:
determining lead training data based on a historical database; the wire training data comprises trained power transmission line images, power transmission line distance information and power transmission line vibration information;
extracting the vibration information of the power transmission line on the basis of HHT algorithm to obtain a vibration signal;
respectively preprocessing the vibration signal, the trained image of the power transmission line and the distance information of the power transmission line, and performing data fusion on the preprocessed data to obtain fusion training data;
and inputting the fusion training data into a preset training model for training to obtain a trained wire icing monitoring model.
Preferably, the inputting the fusion training data into a preset training model for training to obtain a trained wire icing monitoring model includes:
and taking the fusion training data as an input parameter of the preset training model, taking the preset monitoring result as an output parameter of the preset training model, and training and verifying the precision of the preset training model by adopting an XGboost algorithm to obtain a trained wire icing monitoring model.
Preferably, the identifying abnormal galloping of the conductor according to the monitoring result and monitoring the motion state of the conductor based on the quartile method includes:
comparing the monitoring result with the power transmission line monitoring data to obtain a galloping residual error curve;
and analyzing the galloping change of the galloping residual curve by adopting the quartile method, judging whether the power transmission line is in an abnormal galloping state or not according to an analysis result, if so, determining the motion state as an abnormal state, and if not, determining the motion state as a normal state.
Preferably, the preprocessing the vibration signal, the trained image of the power transmission line and the distance information of the power transmission line, and the data fusion of the preprocessed data to obtain the fusion training data respectively includes:
judging outliers of the vibration signals according to a 3 sigma method, and eliminating the vibration signals according to a judgment result to obtain eliminated data;
filling the eliminated data according to a Newton interpolation method to obtain preprocessed data of the vibration signal;
preprocessing the trained image of the power transmission line based on a wavelet transform method to obtain preprocessed data of the image of the power transmission line;
preprocessing the trained power transmission line distance information based on data cleaning to obtain preprocessed data of the power transmission line distance information;
and fusing the preprocessed data to obtain the fused training data.
Preferably, the acquiring of the power transmission line monitoring data includes:
acquiring the image of the power transmission line by using an image monitoring device; the image monitoring device comprises a training unmanned aerial vehicle;
acquiring the distance information of the power transmission line by using a laser ranging sensor;
and acquiring the vibration information of the power transmission line by using a three-axis displacement sensor.
Preferably, after the identifying abnormal galloping of the wire according to the monitoring result and monitoring the motion state of the wire based on the quartile method, the method further comprises:
carrying out hidden danger analysis on the motion state according to preset hidden danger factors to obtain an auxiliary decision result; the preset hidden danger factors comprise: hidden danger level, line distribution, and hidden danger time dimension.
Preferably, after the identifying abnormal galloping of the wire according to the monitoring result and monitoring the motion state of the wire based on the quartile method, the method further comprises:
and sending the motion state to each preset mobile client, and visually displaying the motion state on the mobile client.
A transmission line wire icing monitoring and analyzing system comprises:
the data monitoring module is used for acquiring monitoring data of the power transmission line; the power transmission line monitoring data comprise power transmission line images, power transmission line distance information and power transmission line vibration information;
the result analysis module is used for inputting the power transmission line monitoring data into a trained conductor icing monitoring model to obtain a monitoring result;
the identification module is used for identifying the abnormal galloping of the lead according to the monitoring result and monitoring the motion state of the lead based on a quartile method;
the training data determining module is used for determining lead training data based on the historical database; the wire training data comprises trained power transmission line images, power transmission line distance information and power transmission line vibration information;
the extraction module is used for extracting the vibration information of the power transmission line on the basis of the HHT algorithm to obtain a vibration signal;
the preprocessing module is used for respectively preprocessing the vibration signals, the trained images of the power transmission lines and the distance information of the power transmission lines and carrying out data fusion on the preprocessed data to obtain fusion training data;
and the training module is used for inputting the fusion training data into a preset training model for training to obtain a trained wire icing monitoring model.
Preferably, the training module specifically includes:
and the training unit is used for training and verifying the precision of the preset training model by adopting an XGboost algorithm by taking the fusion training data as the input parameters of the preset training model and the preset monitoring result as the output parameters of the preset training model to obtain the trained wire icing monitoring model.
Preferably, the identification module specifically includes:
the comparison unit is used for comparing the monitoring result with the power transmission line monitoring data to obtain a galloping residual error curve;
and the analysis unit is used for analyzing the galloping change of the galloping residual curve by adopting the quartile method, judging whether the power transmission line is in an abnormal galloping state or not according to the analysis result, if so, determining the motion state as the abnormal state, and if not, determining the motion state as the normal state.
According to the specific embodiment provided by the invention, the invention discloses the following technical effects:
the invention provides a method and a system for monitoring and analyzing icing of a transmission line lead, wherein the method comprises the following steps: acquiring monitoring data of a power transmission line; the power transmission line monitoring data comprise power transmission line images, power transmission line distance information and power transmission line vibration information; inputting the monitoring data of the power transmission line into a trained conductor icing monitoring model to obtain a monitoring result; based on a quartile method, identifying abnormal galloping of the lead according to the monitoring result, and monitoring the motion state of the lead; the method for determining the wire icing monitoring model comprises the following steps: determining lead training data based on a historical database; the wire training data comprises trained power transmission line images, power transmission line distance information and power transmission line vibration information; extracting the vibration information of the power transmission line on the basis of HHT algorithm to obtain a vibration signal; respectively preprocessing the vibration signal, the trained image of the power transmission line and the distance information of the power transmission line, and performing data fusion on the preprocessed data to obtain fusion training data; and inputting the fusion training data into a preset training model for training to obtain a trained wire icing monitoring model. The invention can improve the monitoring precision of the icing state of the power transmission line and improve the ideal degree of the analysis result.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a flowchart of a method for monitoring and analyzing icing on a transmission line conductor according to an embodiment of the present invention;
fig. 2 is a structural diagram of a monitoring and analyzing system for monitoring icing on a wire of a power transmission line in an embodiment provided by the invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein may be combined with other embodiments.
The terms "first," "second," "third," and "fourth," etc. in the description and claims of this application and in the accompanying drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, the inclusion of a list of steps, processes, methods, etc. is not limited to only those steps recited, but may alternatively include additional steps not recited, or may alternatively include additional steps inherent to such processes, methods, articles, or devices.
The invention aims to provide a method and a system for monitoring and analyzing the icing of a wire of a power transmission line, which can improve the monitoring precision of the icing state of the power transmission line and improve the ideal degree of an analysis result.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
Fig. 1 is a flowchart of a method for monitoring and analyzing icing on a transmission line conductor in an embodiment provided by the present invention, and as shown in fig. 1, the present invention provides a method for monitoring and analyzing icing on a transmission line conductor, including:
step 100: acquiring monitoring data of a power transmission line; the power transmission line monitoring data comprise power transmission line images, power transmission line distance information and power transmission line vibration information;
step 200: inputting the monitoring data of the power transmission line into a trained conductor icing monitoring model to obtain a monitoring result;
step 300: based on a quartile method, identifying abnormal galloping of the lead according to the monitoring result, and monitoring the motion state of the lead;
the method for determining the wire icing monitoring model in the step 200 comprises the following steps:
step 210: determining lead training data based on a historical database; the wire training data comprises trained power transmission line images, power transmission line distance information and power transmission line vibration information;
step 220: extracting the vibration information of the power transmission line on the basis of HHT algorithm to obtain a vibration signal;
step 230: preprocessing the vibration signal, the trained power transmission line image and the power transmission line distance information respectively, and performing data fusion on the preprocessed data to obtain fusion training data;
step 240: and inputting the fusion training data into a preset training model for training to obtain a trained wire icing monitoring model.
Preferably, the inputting the fusion training data into a preset training model for training to obtain a trained wire icing monitoring model includes:
and taking the fusion training data as an input parameter of the preset training model, taking the preset monitoring result as an output parameter of the preset training model, and training and verifying the precision of the preset training model by adopting an XGboost algorithm to obtain a trained wire icing monitoring model.
Optionally, an XGBoost algorithm is used for data modeling, and the XGBoost (extreme learning) algorithm is an improved algorithm of the Boosting algorithm, and is an ensemble learning algorithm, and the performance of the classifier can be improved through conversion. Under the condition of large data quantity, the Boosting algorithm has the defects of multiple calculation iteration times and long time consumption, and under the conditions that the training set is huge in quantity and the data is complex and diverse, thousands of times or even thousands of times of iterative operation are needed to obtain a good training model, so that the time consumption and the labor consumption are realized. The XGboost algorithm can well solve the defects, and has the greatest advantages of automatically utilizing multiple threads of the CPU to carry out parallel operation and optimizing the algorithm so as to improve the precision.
Preferably, the identifying abnormal galloping of the conductor according to the monitoring result and monitoring the motion state of the conductor based on the quartile method includes:
comparing the monitoring result with the power transmission line monitoring data to obtain a galloping residual error curve;
and analyzing the galloping change of the galloping residual curve by adopting the quartile method, judging whether the power transmission line is in an abnormal galloping state or not according to an analysis result, if so, determining the motion state as the abnormal state, and if not, determining the motion state as the normal state.
Specifically, in this embodiment, vibration mode decomposition and extraction are performed on the vibration of the power transmission line by using a HHT algorithm, the HHT algorithm is called hilbert-yellow transform, and is divided into an empirical mode decomposition (EMD decomposition) and a hilbert algorithm (hilbert, HT algorithm), and is a frequency domain signal processing algorithm capable of processing nonlinear unstable signals. Meanwhile, the HHT side spectrum represents the change condition of the signal amplitude along with the frequency in the whole frequency band, and if energy of a certain frequency exists in the signal, the vibration wave of the frequency is presented. And aiming at the ice coating condition on the power transmission line, when the lead naturally vibrates, abnormal vibration signals can appear in the vibration waves of the frequency.
Preferably, the preprocessing the vibration signal, the trained image of the power transmission line, and the distance information of the power transmission line, and performing data fusion on the preprocessed data to obtain fusion training data includes:
judging outliers of the vibration signals according to a 3 sigma method, and eliminating the vibration signals according to a judgment result to obtain eliminated data;
filling the eliminated data according to a Newton interpolation method to obtain preprocessed data of the vibration signal;
preprocessing the trained image of the power transmission line based on a wavelet transform method to obtain preprocessed data of the image of the power transmission line;
preprocessing the trained power transmission line distance information based on data cleaning to obtain preprocessed data of the power transmission line distance information;
and fusing the preprocessed data to obtain the fused training data.
Preferably, the acquiring of the power transmission line monitoring data includes:
acquiring the image of the power transmission line by using an image monitoring device; the image monitoring device comprises a training unmanned aerial vehicle;
acquiring the distance information of the power transmission line by using a laser ranging sensor;
and acquiring the vibration information of the power transmission line by using a three-axis displacement sensor.
Further, in the present embodiment, a monitoring mode that is based on laser measurement and assists in simultaneous monitoring such as line temperature, tension, waving, etc. is adopted.
In addition, the method provided by the embodiment can also be combined with the internet of things technology to carry out platform construction and information interconnection, mainly aims at monitoring the crossing and ground distance of the high-voltage power transmission and transformation line, monitors the conductor sag, the conductor temperature, the conductor tension, the conductor galloping and the like in real time, and protects the safe operation of the power transmission line. Through the application of technical means such as power sensor, wireless sensor network, artificial intelligence, edge calculation, construction transmission equipment thing networking realizes that equipment stereoscopic perception, passageway panorama control, data cloud limit are handled, the supplementary prejudgement of state, safe intelligence management and control, the benefit of fortune is examined and is promoted, impels transmission of electricity professional management mode to more intelligent, more high-efficient, safer the transition, realizes the degree of depth integration and the application of strong smart power grids and ubiquitous thing networking.
Preferably, after the identifying abnormal galloping of the wire according to the monitoring result and monitoring the motion state of the wire based on the quartile method, the method further comprises:
carrying out hidden danger analysis on the motion state according to preset hidden danger factors to obtain an auxiliary decision result; the preset hidden danger factors comprise: hidden danger levels, line distribution, and hidden danger time dimensions.
Optionally, the hidden danger condition is analyzed according to hidden danger levels, line distribution and hidden danger time dimension, and an assistant decision result is provided for preventing the hidden danger of the line.
Preferably, after the identifying abnormal galloping of the wire according to the monitoring result and monitoring the motion state of the wire based on the quartile method, the method further comprises:
and sending the motion state to each preset mobile client, and visually displaying the motion state on the mobile client.
Specifically, the embodiment supports functions of browsing, analyzing and calculating, displaying a chart and uploading data of the mobile phone APP. All-weather and three-dimensional monitoring of the dynamic capacity increasing function of the power transmission line is realized by fixed monitoring and combining with a mobile interconnection idea.
Corresponding to the foregoing method, this embodiment further provides a system for monitoring and analyzing icing on a transmission line conductor, as shown in fig. 2, including:
the data monitoring module is used for acquiring power transmission line monitoring data; the power transmission line monitoring data comprise power transmission line images, power transmission line distance information and power transmission line vibration information;
the result analysis module is used for inputting the power transmission line monitoring data into a trained conductor icing monitoring model to obtain a monitoring result;
the identification module is used for identifying the abnormal galloping of the lead according to the monitoring result and monitoring the motion state of the lead based on a quartile method;
the training data determining module is used for determining lead training data based on the historical database; the wire training data comprises trained power transmission line images, power transmission line distance information and power transmission line vibration information;
the extraction module is used for extracting the vibration information of the power transmission line on the basis of the HHT algorithm to obtain a vibration signal;
the preprocessing module is used for respectively preprocessing the vibration signals, the trained images of the power transmission lines and the distance information of the power transmission lines and carrying out data fusion on the preprocessed data to obtain fusion training data;
and the training module is used for inputting the fusion training data into a preset training model for training to obtain a trained wire icing monitoring model.
Preferably, the training module specifically includes:
and the training unit is used for training and verifying the precision of the preset training model by adopting an XGboost algorithm by taking the fusion training data as the input parameters of the preset training model and the preset monitoring result as the output parameters of the preset training model to obtain the trained wire icing monitoring model.
Preferably, the identification module specifically includes:
the comparison unit is used for comparing the monitoring result with the power transmission line monitoring data to obtain a galloping residual error curve;
and the analysis unit is used for analyzing the galloping change of the galloping residual curve by adopting the quartile method, judging whether the power transmission line is in an abnormal galloping state or not according to the analysis result, if so, determining the motion state as the abnormal state, and if not, determining the motion state as the normal state.
The invention has the following beneficial effects:
the method monitors the data of the power transmission line based on the neural network, and improves the acquisition precision and the processing precision of the data by combining various algorithms, thereby improving the monitoring precision of the icing state of the power transmission line and improving the ideal degree of an analysis result.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. For the system disclosed by the embodiment, the description is relatively simple because the system corresponds to the method disclosed by the embodiment, and the relevant points can be referred to the method part for description.
The principle and the embodiment of the present invention are explained by applying specific examples, and the above description of the embodiments is only used to help understanding the method and the core idea of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, the specific embodiments and the application range may be changed. In view of the above, the present disclosure should not be construed as limiting the invention.
Claims (10)
1. A method for monitoring and analyzing icing of a wire of a power transmission line is characterized by comprising the following steps:
acquiring monitoring data of a power transmission line; the power transmission line monitoring data comprise power transmission line images, power transmission line distance information and power transmission line vibration information;
inputting the monitoring data of the power transmission line into a trained conductor icing monitoring model to obtain a monitoring result;
based on a quartile method, identifying abnormal galloping of the lead according to the monitoring result, and monitoring the motion state of the lead;
the method for determining the wire icing monitoring model comprises the following steps:
determining lead training data based on a historical database; the wire training data comprises trained power transmission line images, power transmission line distance information and power transmission line vibration information;
extracting the vibration information of the power transmission line on the basis of HHT algorithm to obtain a vibration signal;
respectively preprocessing the vibration signal, the trained image of the power transmission line and the distance information of the power transmission line, and performing data fusion on the preprocessed data to obtain fusion training data;
and inputting the fusion training data into a preset training model for training to obtain a trained wire icing monitoring model.
2. The method for monitoring and analyzing the icing on the wire of the power transmission line according to claim 1, wherein the step of inputting the fusion training data into a preset training model for training to obtain a trained wire icing monitoring model comprises the following steps:
and taking the fusion training data as an input parameter of the preset training model, taking the preset monitoring result as an output parameter of the preset training model, and training and verifying the precision of the preset training model by adopting an XGboost algorithm to obtain a trained wire icing monitoring model.
3. The method for monitoring and analyzing the icing on the conducting wire of the power transmission line according to claim 1, wherein the identifying the abnormal galloping of the conducting wire according to the monitoring result and monitoring the motion state of the conducting wire based on the quartile method comprises the following steps:
comparing the monitoring result with the power transmission line monitoring data to obtain a galloping residual error curve;
and analyzing the galloping change of the galloping residual curve by adopting the quartile method, judging whether the power transmission line is in an abnormal galloping state or not according to an analysis result, if so, determining the motion state as an abnormal state, and if not, determining the motion state as a normal state.
4. The method for monitoring and analyzing the icing on the conducting wire of the power transmission line according to claim 1, wherein the steps of preprocessing the vibration signal, the trained image of the power transmission line and the distance information of the power transmission line, and fusing the preprocessed data to obtain fused training data comprise:
judging the outlier of the vibration signal according to a 3 sigma method, and rejecting the vibration signal according to a judgment result to obtain rejected data;
filling the eliminated data according to a Newton interpolation method to obtain preprocessed data of the vibration signal;
preprocessing the trained power transmission line image based on a wavelet transformation method to obtain preprocessed data of the power transmission line image;
preprocessing the trained power transmission line distance information based on data cleaning to obtain preprocessed data of the power transmission line distance information;
and fusing the preprocessed data to obtain the fused training data.
5. The method for monitoring and analyzing the icing on the conducting wire of the power transmission line according to claim 1, wherein the step of acquiring the monitoring data of the power transmission line comprises the following steps:
acquiring the image of the power transmission line by using an image monitoring device; the image monitoring device comprises a training unmanned aerial vehicle;
acquiring the distance information of the power transmission line by using a laser ranging sensor;
and acquiring the vibration information of the power transmission line by using a three-axis displacement sensor.
6. The method for monitoring and analyzing the icing of the conducting wire of the power transmission line according to claim 1, wherein after the conducting wire is identified to abnormally gallop according to the monitoring result based on the quartile method and the motion state of the conducting wire is monitored, the method further comprises the following steps:
carrying out hidden danger analysis on the motion state according to preset hidden danger factors to obtain an auxiliary decision result; the preset hidden danger factors comprise: hidden danger level, line distribution, and hidden danger time dimension.
7. The method for monitoring and analyzing the icing on the conducting wire of the power transmission line according to claim 1, wherein after the conducting wire is identified to be abnormally waved according to the monitoring result and the motion state of the conducting wire is monitored based on the quartile method, the method further comprises the following steps:
and sending the motion state to each preset mobile client, and visually displaying the motion state on the mobile client.
8. The utility model provides a transmission line wire icing monitoring analytic system which characterized in that includes:
the data monitoring module is used for acquiring power transmission line monitoring data; the power transmission line monitoring data comprise power transmission line images, power transmission line distance information and power transmission line vibration information;
the result analysis module is used for inputting the power transmission line monitoring data into a trained wire icing monitoring model to obtain a monitoring result;
the identification module is used for identifying the abnormal galloping of the lead according to the monitoring result and monitoring the motion state of the lead based on a quartile method;
the training data determining module is used for determining conducting wire training data based on the historical database; the wire training data comprises trained power transmission line images, power transmission line distance information and power transmission line vibration information;
the extraction module is used for extracting the vibration information of the power transmission line on the basis of the HHT algorithm to obtain a vibration signal;
the preprocessing module is used for respectively preprocessing the vibration signal, the trained power transmission line image and the power transmission line distance information and performing data fusion on the preprocessed data to obtain fusion training data;
and the training module is used for inputting the fusion training data into a preset training model for training to obtain a trained wire icing monitoring model.
9. The system for monitoring and analyzing the icing on the conducting wire of the power transmission line according to claim 8, wherein the training module specifically comprises:
and the training unit is used for training and verifying the precision of the preset training model by adopting an XGboost algorithm by taking the fusion training data as the input parameters of the preset training model and the preset monitoring result as the output parameters of the preset training model to obtain the trained wire icing monitoring model.
10. The system for monitoring and analyzing the icing on the conducting wire of the power transmission line according to claim 8, wherein the identification module specifically comprises:
the comparison unit is used for comparing the monitoring result with the power transmission line monitoring data to obtain a galloping residual error curve;
and the analysis unit is used for analyzing the galloping change of the galloping residual curve by adopting the quartile method, judging whether the power transmission line is in an abnormal galloping state or not according to an analysis result, if so, determining the motion state as the abnormal state, and if not, determining the motion state as the normal state.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115496002A (en) * | 2022-11-16 | 2022-12-20 | 国网湖北省电力有限公司信息通信公司 | Multi-dimensional feature interactive line dynamic capacity increasing method, system and medium |
| CN117192312A (en) * | 2023-11-07 | 2023-12-08 | 云南电网有限责任公司 | Machine learning-based secondary alternating current cable insulation abnormality monitoring method and system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115496002A (en) * | 2022-11-16 | 2022-12-20 | 国网湖北省电力有限公司信息通信公司 | Multi-dimensional feature interactive line dynamic capacity increasing method, system and medium |
| CN115496002B (en) * | 2022-11-16 | 2023-02-24 | 国网湖北省电力有限公司信息通信公司 | Multi-dimensional feature interactive line dynamic capacity increasing method, system and medium |
| CN117192312A (en) * | 2023-11-07 | 2023-12-08 | 云南电网有限责任公司 | Machine learning-based secondary alternating current cable insulation abnormality monitoring method and system |
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