EPRI Structure Strain Monitor: Use case
The problem:
The power utility was facing challenges with monitoring the structural integrity of critical infrastructure, such as bridges and power plants. Traditional methods were either too invasive or not sufficiently accurate for long-term monitoring. The need for a reliable, non-intrusive, and precise method to detect and predict structural failures, especially in welds, became paramount. This led to the exploration of advanced strain monitoring technologies to ensure safety and operational efficiency.
RF monitoring approach:
The Structure Stain RF Monitor was installed on various critical structures, including heavily trafficked bridges. Strain gauges were glued to key points on the substrate, and the RF Monitor was set up to capture both static and dynamic loads. The device’s advanced algorithms, including rainflow counting, were utilized to analyze the strain data. This setup allowed for continuous, real-time monitoring and data collection, which was then transmitted wirelessly to a central receiver for further analysis.
Lessons learnt:
The deployment of the Structure Stain RF Monitor provided valuable insights into the behavior of materials under different stress conditions. It was found that the device could accurately predict potential failures, allowing for timely maintenance and repairs. The use of wireless technology significantly reduced installation and maintenance costs, as it minimized the need for extensive cabling and human intervention. Additionally, the ability to perform fatigue analysis in real-time proved crucial for extending the lifespan of the monitored structures.
Status:
Currently, the EPRI Structure Vibration RF Monitors are being used in various ongoing projects to monitor and analyze structural vibrations. These projects aim to further refine the technology and expand its applications. The latest research focuses on improving the accuracy and reliability of the monitors, as well as exploring new attachment options to enhance their versatility and effectiveness.