An integrated robotic repair system for repairing a surface is described. The said system comprising: a base translation system (110), said system comprising a multistage platform; a repair module (150), said module coupled to the translation system (110) to move the module (150) relative to the base translation system (110); an end effector selector system coupled to the repair module, said selector system comprising end effector repair tools (360, 362, 366), each tool (360, 362, 366) configured to undertake a repair task on the surface; and deployable legs (120), said legs (120) coupled to the base translation system (110) and configured to engage and disengage from the surface to allow the system to walk along surface.

A remotely controlled, unmanned, rotorcraft, such as a drone, can measure an electrical parameter. The rotorcraft includes an electrically conductive contact element having a rigid substrate perpendicular to the connecting arm. The element is coated, at least on the face thereof opposite said arm, with a coating made of conductive flexible material.

A method, an apparatus, an electronic device, and a computer-readable storage medium for detecting a wind turbine blade based on drone aerial photography are provided. The method includes: determining first initial three-dimensional position coordinates and a posture of a wind turbine; determining second initial three-dimensional coordinates of a first expected position with respect to a front shooting position of the wind turbine, based on the first initial three-dimensional position coordinates, the posture, and a preset distance; inputting the second initial three-dimensional coordinates of the first expected position into a flight control system of the drone, and controlling the drone to fly to the second initial three-dimensional coordinates based on a GPS system; and controlling the drone to track at least one first key point of blades of the wind turbine, and determining a three-dimensional movement trajectory of the first key point in a camera coordinate system.

Systems and methods for performing external inspections and internal inspections on wind turbine blades and correlating the external and internal inspections with one another are disclosed herein. A method of inspecting a wind turbine blade includes analyzing an exterior of the blade to produce external blade data, analyzing an interior of the blade to produce internal blade data, correlating a first position of the internal blade data with a second position of the external blade, and displaying an image including the first position and the second position.

The disclosure relates to a wind turbine blade inspection system and method based on an unmanned aerial vehicle. The system includes: a collection module, used for collecting blade data and surrounding environment data of blades to be inspected, determining feature inspection points of the unmanned aerial vehicle according to the blade data and the surrounding environment data, and generating inspection paths; an inspection module, used for shooting corresponding blade at the feature inspection points according to the inspection paths to obtain a first inspection image and a second inspection image; an analysis module, used for receiving the first inspection image and the second inspection image, analyzing the first inspection image and the second inspection image to obtain a health state of the corresponding blade, and making a maintenance plan according to the health state of each of the blades.

The disclosure relates to a wind turbine blade inspection system and method based on an unmanned aerial vehicle. The system includes: a collection module, used for collecting blade data and surrounding environment data of blades to be inspected, determining feature inspection points of the unmanned aerial vehicle according to the blade data and the surrounding environment data, and generating inspection paths; an inspection module, used for shooting corresponding blade at the feature inspection points according to the inspection paths to obtain a first inspection image and a second inspection image; an analysis module, used for receiving the first inspection image and the second inspection image, analyzing the first inspection image and the second inspection image to obtain a health state of the corresponding blade, and making a maintenance plan according to the health state of each of the blades.

A state monitoring device for at least one rotor blade of a wind turbine, having at least one flexible sensor device with a plurality of measuring sections, which are arranged on a plurality of sections of the rotor blade and are designed so as to measure at least one respective parameter, and a processing device for detecting and/or processing the measured parameters. The invention device also relates to a rotor blade for a wind turbine, having at least one such state monitoring device, and to a wind turbine, having such a state monitoring device or such a rotor blade.

Systems and methods for performing external inspections and internal inspections on wind turbine blades and correlating the external and internal inspections with one another are disclosed herein. A method of inspecting a wind turbine blade includes analyzing an exterior of the blade to produce external blade data, analyzing an interior of the blade to produce internal blade data, correlating a first position of the internal blade data with a second position of the external blade, and displaying an image including the first position and the second position.

Provided are a base member 11 to which one end of a spring 13 is connected, and a shaft 12 to which the other end of the spring 13 is connected, and which is configured to move relative to the base member in a direction of a central axis of the shaft when the shaft comes into contact with a target object, wherein the spring 13 is arranged such that a center axis of the spring 13 is at an angle to the center axis of the shaft.

A robot includes front and rear traction modules to circulate throughout the inside of a wind turbine blade; two intermediate modules able to be inserted between the front module and the rear module, which include an intermediate machining module to machine fissures and cracks from within the blade; and an intermediate patching module to apply, compact and cure repair patches on the fissures and cracks; and a remote control system to monitor parameters and control the repair actions.