Provided herein are detection systems and related methods for detecting moving objects in an airspace surrounding the detection system. In an aspect, the moving object is a flying animal and the detection system comprises a first imager and a second imager that determines position of the moving object and for moving objects within a user selected distance from the system the system determines whether the moving object is a flying animal, such as a bird or bat. The systems and methods are compatible with wind turbines to identify avian(s) of interest in airspace around wind turbines and, if necessary, take action to minimize avian strike by a wind turbine blade.

Disclosed is a method of condition monitoring a WTG (Wind Turbine Generator) comprising acts of collecting and storage of at least the following data sets together with their time stamps. Collection of generator power production measurements. Collection of mechanical status measurements. Collection of generator torque measurements. Collection of nacelle direction measurements. Collection of meteorological conditions measurements. The method compromises a further act of synchronizing the data sets. The invention also relates to a system for condition monitoring a WTG. The invention further relates to a system for visually inspecting a WTG.

Disclosed is a method of condition monitoring a WTG (Wind Turbine Generator) comprising acts of collecting and storage of at least the following data sets together with their time stamps. Collection of generator power production measurements. Collection of mechanical status measurements. Collection of generator torque measurements. Collection of nacelle direction measurements. Collection of meteorological conditions measurements. The method compromises a further act of synchronizing the data sets. The invention also relates to a system for condition monitoring a WTG. The invention further relates to a system for visually inspecting a WTG.

A multisensory system provides both temporal and spatial coverage capacities for auto-detection of bird collision events. The system includes an apparatus having a first circuitry to capture and store a series of images or video of a blade of a wind turbine; and a memory to store the images from the first circuitry. The apparatus also has one or more sensors to continuously sense vibration of the blade or for acoustic recordings; and a second circuitry to analyze the sensor data stream and/or the series of images or video to identify a cause of the vibration and to trigger the camera(s). A communication interface transmits data from the second circuitry to another device, wherein the second circuitry applies artificial intelligence or machine learning to control sensitivity of the one or more sensors.

In a wind turbine comprising a tower supporting a nacelle, at least one blade rotationally attached to the nacelle and having a blade-tip section, a system for measuring the separation distance between the tower and the blade-tip-section of the wind turbine, comprising an indicator stripe on the surface of the blade-tip section, an indicator ring encircling the tower, a camera in the nacelle and positioned such that the blade-tip section and the indicator ring are within the camera's field of view when the blade-tip is at its closest approach position to the tower, the camera digitally recording an image of its field of view at this closest approach position, the distance between indicator ring and camera being essentially equal to the distance between the indicator stripe and the camera at this closest approach position, and an image processor and tip-tower clearance calculator unit receiving the digitally recorded image and calculating a physical separation distance between the indicator stripe and the indicator ring using the digitally recorded image information, the physical separation distance being indicative of the blade tip-tower clearance.

A device is provided for blade detection. The device comprises a supporting frame, a linear track, and a fixture. The supporting frame comprises a plurality of aluminum extruded bodies with connectors thereof and a plurality of rotating adjusting pads with fixing plates thereof; the linear track comprises a plurality of tracks with connectors thereof and a plurality of sliders; and the fixture comprises a bearing holder part, a bearing connector, a sliding rod, a joint bearer with a connector thereof, a chuck, and a detector. On detecting a blade, the present invention helps the detector to be maintained on the blade surface for detection in horizontal and vertical directions without deviating from track; and the detector is in contact with the blade surface to move precisely and regularly without missing or repeating detection areas. Thus, the area is detected completely with time saved and accuracy improved.

The present disclosure provides a method and device for stitching wind turbine blade images, and a storage medium. The method includes performing edge detection on a plurality of images of the blade of the wind turbine to determine a blade region for each of the plurality of images; and for each pair of images among the plurality of images of the blade of the wind turbine, which are captured successively, stitching a front end of a former one of the pair of images captured successively and a rear end of a latter one of the pair of images captured successively, wherein the front end is far away from a root of the blade of the wind turbine, and the rear end is close to the root of the blade of the wind turbine.

Techniques for identifying a geographic location of a wind turbine using an image. An image depicting a geographic area is received. A location is identified, in the image, relating to a place where a wind turbine tower depicted in the image meets ground depicted in the image. This includes identifying two objects relating to the wind turbine tower in the image, and distinguishing a bottom end of the wind turbine tower from a top end of the wind turbine tower based on the identified two objects. A geographic location corresponding to the determined image location is determined, based on the image and the determined image location. A location of the wind turbine tower, in a database of wind turbine locations, is updated based on the geographic location.

An acoustic monitoring system and method for the health status of an offshore wind turbine and an ocean wave are provided. The acoustic monitoring system includes a first laser transmitter, a second laser transmitter, a telephoto camera provided at a hub, a vibration detection sensor provided on a tower of a wind turbine, and four acoustic detection sensors arranged at an interval of 90° along the circumference of the tower. The first and second laser transmitters are arranged at the bottom of a nacelle of the wind turbine and emit laser lights vertically downward. The first laser transmitter, the second laser transmitter, the telephoto camera, the vibration detection sensor, and the acoustic detection sensors are connected to a data acquisition and conversion module through a transmission module. The acoustic monitoring system combines laser light detection with acoustic signal feature detection to improve stability and safety of the offshore wind turbine.

Disclosed is a method of visually inspecting a wind turbine generator (WTG) and parts thereof during operation. The method comprising acts of pointing a visual inspection system with a field of view about a line of sight in a plane of rotor blade of the wind turbine generator (WTG); of capturing multiple images of the field of view using the visual inspection system; of selecting at least one reference image amongst the captured images or from elsewhere; of comparing the at least one other captured image with the at least one reference image; and thus inspecting structural aspects of the wind turbine generator (WTG) as a function of the result of the act of comparing.