Data Collection, Heat Map Generation for Crack Detection Using Robotic Dog Fused with FLIR Sensor
Disciplines
Robotics
Abstract (300 words maximum)
The importance of monitoring crucial infrastructure, like power plant transformers and key civil structures, cannot be overstated for ensuring longevity and safety. One significant advancement in this area is the accessibility of Forward-Looking Infrared (FLIR) cameras, which are now widely available due to reductions in manufacturing costs. These cameras, boasting high precision in temperature data collection and visualization, offer potential applications in various fields. This paper emphasizes the innovative application of FLIR cameras in infrastructure monitoring, particularly for power transformers and aging civil structures like bridges. For transformers, the FLIR camera can penetrate and record internal temperatures, helping identify deviations from standard operating temperatures. Any anomalies could then trigger preventive measures, minimizing operational hitches. Similarly, for structures like bridges, regular FLIR analyses can discern temperature variances which may signal potential wear or fractures, facilitating timely maintenance. To enhance safety and efficiency in data collection, this research proposes integrating FLIR cameras with mobile robots, exemplified by the Unitree GoAir1. Such an approach allows for distant, yet accurate, surveillance, ensuring minimal risk to operators while maximizing precision in infrastructure health assessments.
Academic department under which the project should be listed
SPCEET - Robotics and Mechatronics Engineering
Primary Investigator (PI) Name
Muhammad Hassan Tanveer
PowerPoint for oral presentation
Data Collection, Heat Map Generation for Crack Detection Using Robotic Dog Fused with FLIR Sensor
The importance of monitoring crucial infrastructure, like power plant transformers and key civil structures, cannot be overstated for ensuring longevity and safety. One significant advancement in this area is the accessibility of Forward-Looking Infrared (FLIR) cameras, which are now widely available due to reductions in manufacturing costs. These cameras, boasting high precision in temperature data collection and visualization, offer potential applications in various fields. This paper emphasizes the innovative application of FLIR cameras in infrastructure monitoring, particularly for power transformers and aging civil structures like bridges. For transformers, the FLIR camera can penetrate and record internal temperatures, helping identify deviations from standard operating temperatures. Any anomalies could then trigger preventive measures, minimizing operational hitches. Similarly, for structures like bridges, regular FLIR analyses can discern temperature variances which may signal potential wear or fractures, facilitating timely maintenance. To enhance safety and efficiency in data collection, this research proposes integrating FLIR cameras with mobile robots, exemplified by the Unitree GoAir1. Such an approach allows for distant, yet accurate, surveillance, ensuring minimal risk to operators while maximizing precision in infrastructure health assessments.