To easily grasp a relationship of parameter values which influence a log velocity of a ship, with the log velocity of the ship caused by the parameters, a ship characteristic estimating device is provided, which includes a data outputter configured to output a plurality of parameter data respectively including rotational speed data of a propeller of a ship, and wind velocity vector data of wind force that may act on the ship, and an estimator configured to receive the plurality of parameter data outputted from the data outputter, estimate values corresponding to the respective parameter data to be log velocity vectors of the ship, and output them as first output values. The rotational speed data are same as each other and the wind velocity vector data are different from each other.

A window cleaning robot (100), a window cleaning robot system and a method for controlling the window cleaning robot are disclosed. The window cleaning robot (100) comprises a window cleaning robot body (10), a detecting module disposed on the window cleaning robot body (10) and configured to detect an environment outside the window cleaning robot body (10), and a controlling device connected to the detecting module and configured to control an action of the window cleaning robot body (10) based on a data detected by the detecting module.

A window cleaning robot (100), a window cleaning robot system and a method for controlling the window cleaning robot are disclosed. The window cleaning robot (100) comprises a window cleaning robot body (10), a detecting module disposed on the window cleaning robot body (10) and configured to detect an environment outside the window cleaning robot body (10), and a controlling device connected to the detecting module and configured to control an action of the window cleaning robot body (10) based on a data detected by the detecting module.

The invention provides systems and methods for isolating one or more sensors within an unmanned aerial vehicle (UAV). The method may comprise providing a UAV that includes a housing forming a central body of the UAV. The UAV may also include a first compartment of the central body with one or more electrical components (1) disposed therein, and (2) adapted to affect operation of the UAV. Further, the UAV may include a second compartment of the central body that is isolated from the first compartment such that the barometric pressure in the second compartment is independent of the barometric pressure in the first compartment. Additionally, the method may comprise disposing the one or more sensors within the second compartment of the UAV.

An assembly quality detection device and a method for a wind screen cleaning system based on streamline pattern, includes a main body of a test bench and a detection system. The main body of the test bench includes a test bench rack and a cleaning centrifugal fan; the inside of the test bench rack is provided with a cleaning space. The detection system includes a smoke generation and transmission device, a two-degree-of-freedom smoke fixed-point release mechanism, a high-speed image acquisition system and a control system. A fixed base is installed on the upper end of the outlet of the cleaning centrifugal fan, a linear moving guide rail device is installed on the fixed base, the linear moving guide rail device is equipped with a moving slider, the moving slider is installed with a rotating mechanism, the rotating mechanism output end is provided with a smoke releasing duct, the smoke releasing duct is communicated with the smoke generation and transmission device. The detection device and method can test the manufacturing and assembly quality of the cleaning system of the combine harvester by combining the characteristics of wind tunnel streamline pattern with image processing and corresponding mathematical operation.

An assembly quality detection device and a method for a wind screen cleaning system based on streamline pattern, includes a main body of a test bench and a detection system. The main body of the test bench includes a test bench rack and a cleaning centrifugal fan; the inside of the test bench rack is provided with a cleaning space. The detection system includes a smoke generation and transmission device, a two-degree-of-freedom smoke fixed-point release mechanism, a high-speed image acquisition system and a control system. A fixed base is installed on the upper end of the outlet of the cleaning centrifugal fan, a linear moving guide rail device is installed on the fixed base, the linear moving guide rail device is equipped with a moving slider, the moving slider is installed with a rotating mechanism, the rotating mechanism output end is provided with a smoke releasing duct, the smoke releasing duct is communicated with the smoke generation and transmission device. The detection device and method can test the manufacturing and assembly quality of the cleaning system of the combine harvester by combining the characteristics of wind tunnel streamline pattern with image processing and corresponding mathematical operation.

For determining a changing spatial distribution of particles at each of multiple points in time, real two-dimensional images of the particles are recorded with different mapping functions. An estimated spatial distribution of the particles is provided. Virtual two-dimensional images of the estimated spatial distribution are calculated applying the different mapping functions. Differences between the virtual and the real two-dimensional images are determined; and the estimated spatial distribution of the particles are varied for reducing the differences to obtain a spatial distribution approximated to the actual spatial distribution of the particles. The estimated spatial distribution of the particles is provided in that the locations of the individual particles in a spatial distribution approximated for one other point in time are shifted dependently on how the locations of the individual particles have changed between at least two spatial distributions approximated for at least two other points in time.

A floating buoy includes a buoy hull having a tower that extends outwardly from the hull. A plurality of sensors are mounted either on the buoy hull, within the buoy hull, and/or on the tower. The plurality of sensors includes at least one met-ocean sensor, at least one ecological sensor, and at least one wind speed measurement sensor. The floating buoy further includes an autonomous power system that is configured to provide electrical power to each of the plurality of sensors. The wind speed measurement sensor may be a Light Detection and Ranging (LiDAR) wind speed measurement sensor, a surface level wind speed sensor, an ultrasonic wind speed sensor, or SODAR.

A floating buoy includes a buoy hull having a tower that extends outwardly from the hull. A plurality of sensors are mounted either on the buoy hull, within the buoy hull, and/or on the tower. The plurality of sensors includes at least one met-ocean sensor, at least one ecological sensor, and at least one wind speed measurement sensor. The floating buoy further includes an autonomous power system that is configured to provide electrical power to each of the plurality of sensors. The wind speed measurement sensor may be a Light Detection and Ranging (LiDAR) wind speed measurement sensor, a surface level wind speed sensor, an ultrasonic wind speed sensor, or SODAR.

Systems and methods are provided for estimating a quality of air in proximity to a vehicle. In one embodiment, a method includes: determining a radius of the vehicle; estimating a number of vehicles within the radius of the vehicle; estimating the quality of air based on the number of vehicles; and selectively generating a control signal to an air inlet valve based on the quality of air.