Nanjing Joint Institute for Atmospheric Sciences (20240303993). CATENARY ICING DETECTION METHOD BASED ON INFRARED IMAGING AND METEOROLOGICAL MONITORING simplified abstract

CATENARY ICING DETECTION METHOD BASED ON INFRARED IMAGING AND METEOROLOGICAL MONITORING

Organization Name

Nanjing Joint Institute for Atmospheric Sciences

Inventor(s)

Hong Wu of Nanjing (CN)

Yong Li of Nanjing (CN)

Duanyang Liu of Nanjing (CN)

Linyi Zhou of Nanjing (CN)

Shoupeng Zhu of Nanjing (CN)

Chengying Zhu of Nanjing (CN)

Yan Zeng of Nanjing (CN)

Hao Wu of Nanjing (CN)

Wei Qian of Nanjing (CN)

CATENARY ICING DETECTION METHOD BASED ON INFRARED IMAGING AND METEOROLOGICAL MONITORING - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240303993 titled 'CATENARY ICING DETECTION METHOD BASED ON INFRARED IMAGING AND METEOROLOGICAL MONITORING

The disclosure presents a method for catenary icing detection using infrared imaging and meteorological monitoring. In this method, infrared illumination is utilized to detect the target, real-time images of the target are captured through an infrared imaging sensor, and meteorological data are obtained simultaneously through a meteorological monitoring unit, followed by normalized fusion processing. The data are stored in a front-end edge computing unit, and a deep learning model is employed to automatically identify the states of water accumulation, snow accumulation, and icing of the target, which are then transmitted to a background system.

• Infrared illumination is used for target detection
• Real-time images of the target are obtained through an infrared imaging sensor
• Meteorological data are synchronously obtained through a meteorological monitoring unit
• Normalized fusion processing is performed on the data
• Deep learning model automatically identifies water accumulation, snow accumulation, and icing of the target

Potential Applications: - Railway systems - Power lines - Wind turbines - Aircrafts - Communication towers

Problems Solved: - Early detection of catenary icing - Prevention of accidents caused by icing - Improved maintenance planning for infrastructure

Benefits: - Enhanced safety - Cost-effective maintenance - Increased operational efficiency - Reduced downtime - Improved asset lifespan

Commercial Applications: Title: "Advanced Catenary Icing Detection System for Infrastructure Maintenance" This technology can be utilized by railway companies, power utility providers, aviation industry, and telecommunications companies for proactive maintenance and risk mitigation.

Questions about Catenary Icing Detection: 1. How does the deep learning model help in automatically identifying the states of water accumulation, snow accumulation, and icing of the target? 2. What are the potential cost savings associated with early detection of catenary icing in infrastructure maintenance?

Frequently Updated Research: Stay updated on advancements in infrared imaging technology, meteorological monitoring systems, and deep learning algorithms for enhanced catenary icing detection methods.

Original Abstract Submitted

the disclosure provides a catenary icing detection method based on infrared imaging and meteorological monitoring. in the disclosure, infrared illumination is used to detect the target, real-time images of the target are obtained through an infrared imaging sensor, and meteorological data are synchronously obtained through a meteorological monitoring unit, and normalized fusion processing is performed; the data are stored in a front-end edge computing unit, and through the deep learning model, the states of water accumulation, snow accumulation and icing of the target are automatically identified, and then sent to a background system through a transmission unit.