A Dataspace-centric Scheduler for Robot-aided Aero-engine Fleet Inspection

The aero-engine is the heart of the aircraft, the health of an engine is one of the most important factors that determine the safe operation of an aircraft. In the practice of inspection robotic technology to complete the aero-engine fleet inspection, it is necessary to schedule multiple inspection tasks and multiple robot formations. For the robot-aided aero-engine fleet inspection scenario, a dataspace-centric scheduler is proposed and designed from three parts: the task generator realizes the function of generating and updating task information by building a dataspace; the task modeler realizes the function of making reasonable scheduling hypothesis, selecting appropriate objective functions and generating scheduling constraints; and the problem solver realizes the function of solving the scheduling problems. Besides, a prototype system is built to carry out the experiment and analysis. Results show that by scheduling with the dataspace-centric scheduler, the robot-aided aero-engine fleet inspection and data management become more efficient and accurate.