摘要: |
To improve data consistency, work efficiency, inspector safety, and cost
effectiveness during routine inspections, drones have been increasingly used in recent
years to support imaging and scanning over the surface of various elements in a bridge
for surface condition assessment. Most drones are operated manually within a visual
line of sight and unable to inspect river-crossing bridges completely since not all
elements can be viewed by a drone operator using a binocular. Even for autonomous
drones with collision-avoidance features, physical interaction with a bridge for
nondestructive evaluation (NDE) is currently impossible in practice. An alternative
solution with robot-assisted remote nondestructive tests in visually blocked areas would
be desirable during detailed inspection and condition assessment of bridges.
This project aims to develop a mixed reality (MR) interface that can streamline
inspection process, analysis, and documentation for seamless data uses from
inspection to maintenance in bridge asset management by automating access,
visualization, comparison, and assessment, and to apply the MR interface in a beyond visual-line-of-sight (BVLOS) ultrasonic measurement for the thickness of steel girders
from a climbing robot.
Scope of Work in Year 1:
(1) Develop a framework of MR-based bridge inspection
for BVLOS elements
(2) Integrate a NDE device into a climbing robot for remote bridge
element inspection, and
(3) Evaluate the MR-based inspection for thickness
measurement of steel plates and lap-spliced joints to understand automated
measurement precision, accuracy, and statistical variation. |