CN-122015957-A - Contact net on-line monitoring early warning system based on operation environment

Abstract

The invention discloses an on-line monitoring early warning system of a contact net based on an operating environment, which relates to the technical field of on-line monitoring of the contact net, and comprises the steps of constructing a coupling correction model based on historical monitoring data of the contact net, constructing an environmental field by collecting environmental parameters, performing modeling processing on the environmental field and structural parameters of the contact net, inputting the model, outputting theoretical monitoring values, theoretical offset and adjustment factors of the monitoring parameters, matching the adjustment direction of narrowing or widening a threshold according to the influence of the environmental parameters on the monitoring parameters, adjusting the parameter threshold based on the adjustment factors, and finally realizing on-line early warning based on the comparison of the theoretical monitoring values and the parameter threshold.

Inventors

• HUANG TING

Assignees

• 湖南亚联轨道交通科技有限公司

Dates

Publication Date

20260512

Application Date

20260129

Claims (8)

1. 1. Contact net on-line monitoring early warning system based on operational environment, its characterized in that includes: the online early warning module is used for extracting structural parameters and an environmental field of the overhead line system, inputting the structural parameters and the environmental field into the coupling correction model, predicting and obtaining early warning parameters of the overhead line system, wherein the environmental field is constructed according to the environmental parameters, the early warning parameters comprise theoretical monitoring values, theoretical offset and adjustment factors of the monitoring parameters, and And the device is used for adjusting a standard threshold according to the adjustment factor to obtain a parameter threshold, and carrying out online early warning on the contact network based on the theoretical monitoring value and the parameter threshold.
2. 2. The running environment-based on-line monitoring and early warning system for a catenary of claim 1, wherein constructing an environmental field of the catenary comprises: Extracting environmental parameters of the overhead line system, wherein the environmental parameters are acquired through a distributed sensor along the line or acquired through a weather prediction platform, and the types of the environmental parameters comprise temperature, wind speed, humidity and icing thickness; and performing interpolation processing on the environment parameters, and mapping the environment parameters to a full-line three-dimensional grid of the overhead line system to obtain an environment field, wherein the full-line three-dimensional grid is constructed on the basis of the overhead line system.
3. 3. The system for online monitoring and early warning of a catenary based on an operating environment according to claim 1, wherein the predicting and acquiring the early warning parameters of the catenary comprises: calling a coupling correction model, wherein the coupling correction model comprises a feature extraction layer, a coupling calculation layer and an output optimization layer; And after carrying out modeling processing on the structural parameters of the overhead line system and the environmental field, inputting the structural parameters and the environmental field into the coupling correction model to obtain early warning parameters of the overhead line system, wherein the early warning parameters comprise theoretical monitoring values, theoretical offset and adjustment factors of the monitoring parameters.
4. 4. The system for online monitoring and early warning of a catenary based on an operating environment according to claim 1, wherein the coupling correction model is constructed based on an artificial intelligence model, and comprises: Constructing a basic correction model based on an artificial intelligent model, wherein the artificial intelligent model comprises a BP neural network model; And training a basic correction model by using the standard training set to obtain a coupling correction model.
5. 5. The online monitoring and early warning system for the overhead line system based on the operating environment according to claim 1 is characterized in that the adjustment factors correspond to single environment variables or multiple environment variables, and the adjustment factors corresponding to the multiple environment variables are obtained through weighted summation of the adjustment factors corresponding to the single environment variables.
6. 6. The system for online monitoring and early warning of a catenary based on an operating environment according to claim 1, wherein the adjusting the standard threshold according to the adjustment factor comprises: matching an adjustment direction according to the influence of the environmental parameter on the monitoring parameter, wherein the adjustment direction comprises threshold narrowing or threshold widening; And adjusting a standard threshold based on the adjustment direction and the adjustment factor to obtain a parameter threshold, wherein the standard threshold is a preset threshold corresponding to the monitoring parameter.
7. 7. The system for online monitoring and early warning of a catenary based on an operating environment according to claim 1, wherein online early warning of a contact network based on the theoretical monitoring value and the parameter threshold value comprises: extracting theoretical monitoring values of monitoring parameters in the early warning parameters; Judging whether the theoretical monitoring value exceeds the corresponding parameter threshold value, if yes, judging that the data is abnormal, carrying out attribution analysis on the abnormal data according to the early warning parameter, and if not, judging that the data is normal.
8. 8. The system for online monitoring and early warning of a catenary based on an operating environment according to claim 7, wherein the attribution analysis of the abnormal data according to the early warning parameters comprises: Extracting a theoretical monitoring value corresponding to the data abnormality; and performing environment fitting check and historical health baseline check on the theoretical monitoring value, and determining the reason of the data abnormality according to the check result.

Description

Contact net on-line monitoring early warning system based on operation environment Technical Field The invention belongs to the technical field of online monitoring of overhead lines, and particularly relates to an online monitoring and early warning system of an overhead line based on an operating environment. Background In the technical field of on-line monitoring of the overhead line system, the existing monitoring and early warning system collects monitoring parameters such as the altitude, the pull-out value, the contact force and the like of the overhead line system through deployment sensors, compares the collected actual measurement parameters with a preset fixed standard threshold value, and judges whether the overhead line system is abnormal in operation or not and gives an early warning. When the prior art performs early warning, the original corresponding relation between original monitoring data and environmental parameters can be damaged by directly correcting the original monitoring parameters, so that the real environment background and parameter state when the abnormality occurs can not be traced when the fault is repeated, and operation and maintenance personnel are difficult to accurately position the fault source. The invention provides an on-line monitoring and early warning system of a contact network based on an operating environment, which aims to solve the technical problems. Disclosure of Invention The invention aims to at least solve one of the technical problems in the prior art, and therefore, the invention provides an online monitoring and early warning system for the overhead line system based on the operating environment. To achieve the above object, a first aspect of the present invention provides an online monitoring and early warning system for a catenary based on an operating environment, including: the online early warning module is used for extracting structural parameters and an environmental field of the overhead line system, inputting the structural parameters and the environmental field into the coupling correction model, predicting and obtaining early warning parameters of the overhead line system, wherein the environmental field is constructed according to the environmental parameters, the early warning parameters comprise theoretical monitoring values, theoretical offset and adjustment factors of the monitoring parameters, and And the device is used for adjusting the standard threshold value according to the adjustment factor to obtain the parameter threshold value, and carrying out online early warning on the contact network based on the theoretical monitoring value and the parameter threshold value. In one possible implementation, constructing an environmental field of the catenary includes: Extracting environmental parameters of the overhead line system, wherein the environmental parameters are acquired through a distributed sensor along the line or acquired through a weather prediction platform, and the types of the environmental parameters comprise temperature, wind speed, humidity and icing thickness; and performing interpolation processing on the environment parameters, and mapping the environment parameters to a full-line three-dimensional grid of the overhead line system to obtain an environment field, wherein the full-line three-dimensional grid is constructed on the basis of the overhead line system. In one possible implementation manner, predicting and acquiring the early warning parameters of the overhead line system includes: calling a coupling correction model, wherein the coupling correction model comprises a feature extraction layer, a coupling calculation layer and an output optimization layer; After the structural parameters of the overhead line system and the environmental field are subjected to modeling processing, the structural parameters and the environmental field are input into a coupling correction model to obtain early warning parameters of the overhead line system, wherein the early warning parameters comprise theoretical monitoring values, theoretical offset and adjustment factors of the monitoring parameters. In one possible implementation, the coupling correction model is constructed based on an artificial intelligence model, comprising: Constructing a basic correction model based on an artificial intelligent model, wherein the artificial intelligent model comprises a BP neural network model; and training the basic correction model by using the standard training set to obtain the coupling correction model. In one possible implementation, the adjustment factors correspond to a single environmental variable or multiple environmental variables, wherein the adjustment factors corresponding to the multiple environmental variables are obtained by weighted summation of the adjustment factors corresponding to the single environmental variable. In one possible implementation, adjusting the standard threshold according to the adjustment fact