Abstract:
A system for providing an inspection system including an autonomous unmanned aerial vehicle (UAV) having the image capture device coupled together for generating image data used in inspections, a blockchain-based data exchange storage and verification device for maintaining image data, identified parts data, parts acquisition data, parts report data, and repair reports and corresponding repair data, a parts identifier, a parts identifier for generating one or more potential part identifications from the image data generated by the UAV, a parts acquisition installer, a repair reports generator for generating one or more repair reports based upon data stored within the blockchain-based data exchange storage and verification device, and a digital twin parts predictive fatigue and lifecycle maintenance estimator, the digital twin parts predictive fatigue maintenance lifecycle estimator for generating fatigue-based part life cycles for the one or more potential part identifications from the parts identifier. The parts identifier is an application programming interface to a remote third-party image analysis and component identification system. The parts acquisition installer schedules installation of a replacement part selected from the one or more potential part identifications from the parts identifier. The repair reports generator generates one or more repair reports based upon data stored within the blockchain-based data exchange storage and verification device. The digital twin parts fatigue maintenance estimator is an application programming interface to a remote third-party digital twin modeling and simulation-based parts fatigue and maintenance estimator.