Exemplary methods, systems, apparatus, and computer programs are disclosed for an unmanned aerial system (UAS) inspection system that includes an unmanned aerial system and analysis system for exterior building envelopes and energy performance evaluation and simulation. The UAS can autonomously and systematically collect data for a building's exterior using a payload comprising (i) nondestructive testing (NDT) sensors configured for imaging (visible, infrared, or more) the building and (ii) one or more multi-spectral sensors (LiDAR, ultrasound, radar, or more). The acquired sensor data are provided to an analysis system comprising computer vision (CV) and signal processing modules configured to analyze the acquired data to i) identify building objects (doors, windows, rooftop units, and others) ii) characterize envelope properties (components, heat resistivity, or others) and 3) identify initial thermal anomalies (thermal bridges, physical defects, or infiltration/exfiltration) in a processing pipeline.

The present disclosure relates to an automatic detection system and an automatic detection method for an enclosed space. The automatic detection system includes: an interactive device; a movable platform; an environment perceiving device; a defect detection device; a memory; and a processing device. The processing device is configured to process the environmental data of the environment perceiving device to control the movable platform and the defect detection device, and process the detection data generated by the defect detection device to generate a detection report. The interactive device, the environment perceiving device, the defect detection device, the memory and the processing device are installed on the movable platform, and the interactive device can be operated to identify the enclosed space and enable the automatic detection system to automatically perform detection in an automatic detection mode based on the digital mock-up data of the enclosed space.

Disclosed is a system including a user device, a frame, a drone, and a server. The user device enables a user to aviate the drone that is adapted to be detachably coupled to the frame. The frame is further adapted to be detachably coupled to the one or more powerlines, and includes an X-ray unit configured to capture X-ray images of the one or more powerlines. The X-ray unit transmits the X-ray images to the user device and the user device further transmits the X-ray images to the server in a digital imaging and communication in non-destructive evaluation (DICONDE) format. The server detects one or more abnormalities in the one or more powerlines by processing the X-ray images using a picture archiving & communication system (PACS) and an ADR technique, and generates data and/or reports to be viewed by the user by way of the user device.

A method for controlling a flight-capable drone in an elevator shaft of an elevator system uses an elevator system inspection arrangement configured for carrying out the method. The method comprises the following steps: receiving elevator shaft segment information provided by the elevator system that indicates which volume segment of the elevator shaft is currently designated to be off-limits for the drone; and controlling the drone along a flight path automatically determined by the drone, wherein the drone determines the flight path such that the drone travels exclusively outside of the volume segment designated as off-limits for the drone, wherein the drone determines the flight path taking into account the received elevator shaft segment information. By exchanging the elevator shaft segment information with the elevator system, the drone is able to initiate evasive maneuvers in good time in order to prevent collisions with fast-moving components of the elevator system.

A robotic system includes a mobile platform; a gas payload suite mounted on the platform and including at least one gas emissions detection sensor; a navigation sensors suite mounted on the platform and including at least one navigation sensor; and a control system communicably coupled to the gas payload suite and the navigation sensor suite and configured to perform operations including identifying gas emissions measurements from the at least one gas emissions detection sensor, determining a location of gas emissions based at least in part on the identified gas emissions measurements, and operating a motion controller to move the mobile platform relative to the determined location of the gas emissions.

A surveillance system for an offshore infrastructure including an unmanned surface vessel (USV), an unmanned vehicle for inspecting the offshore infrastructure and a controller. The unmanned surface vessel includes an environmental sensor system to measure one or more environmental parameters and a carrying area to carry the unmanned vehicle. The controller is configured to obtain one or more environmental parameters from the environmental sensor system, to obtain one or operational parameters of the offshore infrastructure, to compare each of the operational parameters to an expected value and to determine, based on the comparison, to inspect the offshore infrastructure with the unmanned vehicle.

An autonomous underwater vehicle (AUV) comprising one or more propulsion devices that propel the AUV, one or more sensors that generate sensor data indicative of a signature of a vessel, memory, and processing circuitry. The processing circuitry determines an underwater position at which the AUV collects the sensor data, controls the one or more propulsion devices to move the AUV to the underwater position, receives the sensor data from the one or more sensors while the AUV is at the underwater position, and stores the sensor data in the memory.

A remotely deployed and operated drone-based sealed tank inspector comprises a direct replacement of normal hatch cover which is a sealed hatch cover comprising electrical penetrations, a sealing cable transit, and a predetermined set of eyelets for retention of lifting slings, and is handled using small hoist and parking stand. Drone-based inspections, including ultrasonic (UT) and visual inspections, may be remotely accomplished by deploying the remotely deployed and operated drone-based sealable tank inspector and using it for inspection and testing, including visual inspection, such as those required to be performed inside a sealed, inert-environment tank.

Disclosed is a contaminated site sampling robot and an intelligent sampling method thereof. The robot includes a body with a walking mechanism, vision sensing system, drilling mechanism, and negative-pressure suction mechanism. The walking mechanism features two servo motors within a mounting platform, with track wheels attached to the servo motors' output ends. The vision sensing system comprises a supporting frame at one end of the mounting platform, equipped with a vision sensing camera and radar sensor. The drilling mechanism consists of a U-shaped base on the mounting platform's top, with a mechanical arm and drilling machine mounted at one end. The negative-pressure suction mechanism includes a U-shaped box on the mounting platform's middle part, housing a vacuum cleaner whose dust outlet connects to a sample collecting box. This setup allows for optimal path identification, positioning, obstacle avoidance, and control of sampling conditions, facilitating intelligent sampling of contaminated sites.

A drone-mounted X-ray payload device designed for the safe and autonomous inspection of compression dead-ends on power lines is disclosed. The device comprises a lightweight, durable frame with parallel-aligned frame members fastened together by a support cage. The cage includes a ring for mounting the device to a drone. A cantilever X-ray panel housing is attached to the frame and houses an X-ray plate and includes movable pivoting supporting members to prevent lateral movement of the plate. The device also incorporates an X-ray generator and antenna support frame, facilitating the positioning and movement of the X-ray generator. Additional features include a radio antenna for drone operation and a system of rubber wheel drivers, an electric motor for autonomous movement, and precise positioning of the X-ray plate relative to the power lines. The device enables remote operation and improved access to difficult-to-reach areas of power lines.