Catenary icing detection method based on infrared imaging and meteorological monitoring

A catenary icing detection method based on infrared imaging and meteorological monitoring, comprising following steps:

• S1, obtaining original data:
• obtaining an infrared image and a visible light image in real time of a target catenary through a camera device, and synchronously obtaining meteorological data in real time, where the meteorological data includes temperature, humidity, rainfall, snowfall and wind speed;
• S2, constructing a sample data set:
• normalizing original infrared and visible image data obtained in the S1, and fusing with the meteorological data to establish the sample data set of a model;
• S3, constructing a deep learning model of MobileNetV3, and training the deep learning model of MobileNetV3 through the sample data set obtained in the S2 to obtain a trained deep learning model;
• and
• S4, evaluating and analyzing sample data through the deep learning model trained in the S3, so as to identify states of water accumulation, snow accumulation and icing on a surface of the target catenary;
• wherein a process of constructing the sample data set in the S2 is as follows:
• firstly, obtaining a surface temperature T0 of the catenary by Formula (1),
• T
• 0
• =
• {
• 1
• ε
• [
• 1
• τ
• a
• ⁢
• T
• r
• n
• -
• (
• 1
• -
• ε
• )
• ⁢
• T
• u
• n
• -
• (
• 1
• τ
• a
• -
• 1
• )
• ⁢
• T
• a
• n
• ]
• }
• 1
• /
• n
• ,
• (
• 1
• )
• in the formula, ε represents a surface emissivity of the catenary, and here ε is 0.78 of copper;
• τa represents an atmospheric transmittance, with a value of 0.766;
• Tr represents a radiation imaging value, and here Tr is a pixel value corresponding to the infrared imaging image;
• a value of n is 5.33;
• Tu represents an equipment ambient temperature (K) and Ta represents an atmospheric temperature (K);
• then, obtaining a Channel[0] value Rt of R-channel in single-channel infrared image data by synthesizing through Formula (2):
• Rt=(T0+R0)×U (2),
• in the formula, Rt represents the Channel[0] value;
• T0 represents the surface temperature of the catenary, R0 represents an R-channel value of visible light, and U represents a collected humidity value, with a range of 0.0-1.0;
• and
• finally, fusing the Channel[0] value of R-channel in the synthesized infrared image data with a Channel[1] value of G-channel and a Channel[2] value of B-channel in the visible image as the sample data.