A method of adjusting at least one rotor blade of a wind turbine which includes the steps of receiving a command for adjustment of the rotor blade at an adjustment speed, ascertaining a current moment of inertia of the rotor blade and acceleration of the rotor blade until reaching the adjustment speed, wherein the acceleration until reaching the adjustment speed is limited in dependence on the ascertained moment of inertia. A system and a wind turbine.

The device recording the collisions of flying animals with wind turbines and indicating where they fell on the ground includes at least two sensors arranged on at least two different heights of the wind turbine tower. The sensors have a range optimally in a direction perpendicular to the wind turbine tower and are connected with the control and recording unit by wire or wireless data transmission.

An automatic recognition, management and control system for dangerous sources in wind turbines, including an intelligent service unit, a telecontrol platform, a graphic workstation, an intelligent analysis unit, a network unit, an intelligent binocular perception terminal, an intelligent perception terminal and an intelligent recognition terminal, where the telecontrol platform and the graphic workstation are both connected to the intelligent service unit, a signal output end of the intelligent analysis unit is connected to a signal input end of the intelligent service unit through a dedicated line, and signal output ends of the intelligent binocular perception terminal, the intelligent perception terminal and the intelligent recognition terminal are all connected to a signal input end of the intelligent analysis unit through the network unit.

A visual recognition system for wind turbines, including an intelligent analysis unit configured to analyze and determine data information, an intelligent service unit configured to transmit image data, a telecontrol platform, a graphic workstation, an intelligent processing unit configured to process video files, a router, a video storage unit configured to store video information, an intelligent binocular perception terminal, an intelligent perception terminal and an intelligent recognition terminal, where the intelligent binocular perception terminal, the intelligent perception terminal and the intelligent recognition terminal are connected to the video storage unit and the intelligent processing unit through optical fibers and the router. Real-time recognition of equipment defects and timely warning are achieved, operation and maintenance blind spots are reduced, the number of manual inspections is decreased, operation and maintenance efficiency is improved, operation and maintenance costs are reduced, and the safety risks of patrol personnel is reduced.

An exemplary system for determining an operating condition for a wind turbine having a rotor, generator, and gearbox, includes a plurality of sensors mounted within the nacelle of the wind turbine. The system also includes a pair proximity sensors are mounted adjacent to the rotor for measuring rotor displacement. A first processor is connected to receive sensor data from the pair of proximity sensors and is configured to partition the received sensor data into predefined datasets, and a second processor configured to format the predefined datasets for transmission over a network to a processing computer.

Provided is a method for computer-implemented analysis of a wind farm including a number of wind turbines, wherein at each time point of one or more time points the following steps are performed: i) applying an object detection algorithm to a digital image showing the current state of the earth's ground in a surrounding area of the wind farm, resulting in the extraction and localization of a number of detected objects not belonging to the wind farm within the image, where each detected object is of an object type out of a number of object types; and ii) determining whether there is a change with respect to the number of detected objects in comparison to an earlier state of the earth's ground in the surrounding area of the wind farm, the change enabling an adaptation of the operation of the wind farm in compliance with a predetermined curtailment.

There is provided a method of detecting lightning strikes in a wind turbine rotor blade. The wind turbine rotor blade has a lightning protection system. A digital camera or an optical-digital heat sensor is provided in the region of a rotor blade root, in a hub of the wind turbine or in or on a tower of the wind turbine in such a way that the digital camera at least partially optically detects a part of the lightning protection system. The part of the lightning protection system is optically detected by the camera to carry out optical temperature detection. An increase in temperature of the part of the lightning protection system is detected based on the optical detection by the camera.

Methods, systems and apparatus, including computer programs encoded on computer storage media for an unmanned aerial vehicle (UAV) wind turbine inspection system. One of the methods includes obtaining first sensor information by an unmanned aerial vehicle (UAV), the first sensor information describing physical aspects of a wind turbine, including one or more blades of the wind turbine. An orientation of the blades of the wind turbine are determined based on the obtained first sensor information. A flight pattern for the UAV to inspect the blades of the wind turbine is determined, the flight pattern being based on the determined orientation of the blades. Each of the blades of the wind turbine is inspected by the UAV according to the determined flight pattern, the inspection including obtaining second sensor information describing the blades of the wind turbine.

A video monitoring method and system for a blade of a wind turbine are provided. The method includes: calculating a pan value and a tilt value based on each of a plurality of circular arc angles when the blade of the wind turbine is in a stationary state, wherein the plurality of circular arc angles are set based on a circular arc curve on a rotational plane of the blade, which is formed with a first point as a center and a first distance as a radius; and setting the pan value and the tilt value of a video camera to the calculated pan value and tilt value, respectively, to capture the blade.

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.