Governments worldwide are facing immense pressure to maintain and upgrade aging civil infrastructure while grappling with budget constraints and a shrinking skilled workforce. The imperative for digital transformation in infrastructure management is accelerating, driving demand for automated, data-driven solutions. This technology aligns perfectly with the global shift towards predictive maintenance and smart infrastructure, offering a scalable solution to enhance safety, extend asset lifespans, and optimize operational expenditures across vast networks.
Improves Inspection Efficiency by 3x: Measures deflection from moving vehicles like trains, reducing inspection time by up to 66% compared to conventional fixed sensor installations or manual inspections.
Achieves High-Precision Displacement Measurement: Accurately calculates bridge deflection from the difference in track displacement measurements taken from the front and rear of a train. This enables high-precision structural integrity assessment even under dynamic loads.
Enhances Safety by Eliminating Traffic Restrictions: Mounting the device on a moving vehicle eliminates the need for traffic control during inspections, significantly improving worker safety and avoiding economic losses from traffic congestion.
This patent protects a method, apparatus, and program for measuring bridge deflection from a moving vehicle, covering multiple aspects of the technology. It has successfully overcome an office action with a well-argued response and amendments, establishing a robust and stable right with clear differentiation from prior art and low invalidation risk.
This patent primarily covers mobile deflection measurement. White space exists in long-term, static structural health monitoring systems, material fatigue analysis, and predictive maintenance algorithms that leverage diverse sensor data beyond deflection.
By replacing conventional manual inspection (6 person-days per bridge at $333/person-day (AI est.)) with this technology's mobile inspection (0.5 person-days per bridge) for 100 bridges annually, a direct labor cost reduction of ~$183K (AI est.) is projected. Including avoided traffic control costs and opportunity losses, the total annual cost reduction could exceed ~$200K (AI est.).
X: Inspection Efficiency
Y: Data Acquisition Accuracy