G01P15/00

DEVICE FOR DETERMINING THE DISTANCE BETWEEN A WIND TURBINE BLADE AND ITS WIND TURBINE TOWER AT PASSING

The invention relates to a method of determining a tip-to-tower clearance of a wind turbine, the wind turbine comprising a wind turbine tower, where a distance sensor unit is arranged on at least one wind turbine blade of the wind turbine and comprises at least a transmitter and a receiver, wherein the method comprises the steps of: transmitting a signal from the distance sensor unit toward the wind turbine tower, measuring a signal reflected from the wind turbine tower, determining a distance between the wind turbine tower and the at least one wind turbine blade based on the transmitted signal and the reflected signal, wherein the method further comprises the step of correcting the measured distance based on at least one of an actual pitch angle and a deflection angle of the at least one wind turbine blade at the location of the distance sensor unit.

APPLICATION OF STRUCTURAL ENERGY STORAGE WITH CARBON FIBER IN PERSONAL WEARABLE AND CARRIABLE DEVICES

An electric power storage device, including a protective cover configured to protect from impact and including an electric carbon fiber component, the electric carbon fiber component incorporating a structural battery, the structural battery including energy storage devices. The energy storage devices are suitable for energy storage and structural support for the electric carbon fiber component. Each of the energy storage devices having an anode core of a continuous carbon fiber, an electrolyte arranged on the continuous carbon fiber core, and a cathode layer arranged to the at least one continuous carbon fiber core on the electrolyte, and an interface terminal electrically connected to the structural battery, the interface terminal for outputting power from the structural battery.

Encoder device and method of determining a kinematic value

An encoder device for determining a kinematic value of the movement of a first object relative to a second object is provided, wherein the encoder device comprises a standard associated with the first object and at least one scanning unit associated with the second object for producing at least one scanning signal by detection of the standard and a control and evaluation unit that is configured to determine the kinematic value from the scanning signal. The control and evaluation unit is here further configured to determine the kinematic value by an evaluation of the scanning signal using a method of machine learning, with the evaluation being trained with a plurality of scanning signals and associated kinematic values.

Micromechanical device with elastic assembly having variable elastic constant

A micromechanical device includes a semiconductor body, a first mobile structure, an elastic assembly, coupled to the first mobile structure and to the semiconductor body and adapted to undergo deformation in a direction, and at least one abutment element. The elastic assembly is configured to enable an oscillation of the first mobile structure as a function of a force applied thereto. The first mobile structure, the abutment element and the elastic assembly are arranged with respect to one another in such a way that: when the force is lower than a force threshold, the elastic assembly operates with a first elastic constant; and when the force is greater than the threshold force, then the first mobile structure is in contact with the abutment element, and a deformation of the elastic assembly is generated, which operates with a second elastic constant different from the first elastic constant.

Vehicle operation safety model compliance measurement

System and techniques for vehicle operation safety model (VOSM) compliance measurement are described herein. A subject vehicle is tested in a vehicle following scenario against VOSM parameter compliance. The test measures the subject vehicle activity during phases of the following scenario in which a lead vehicle slows and produces log data and calculations that form the basis of a VOSM compliance measurement.

WEARABLE COMPUTING DEVICE
20230213970 · 2023-07-06 ·

A smart ring includes a curved housing having a U-shape interior storing components including: a curved battery approximately conforming to the curved housing, a semi-flexible PCB approximately conforming to the curved housing and having mounted thereon: a motion sensor for generating motion data from physical perturbations of the smart ring, a memory for storing executable instructions, a transceiver for sending data to a client computer, a temperature sensor, and a processor for receiving motion data and performing executable instructions in response thereto, and a potting material disposed in the interior, forming an interior wall of the smart ring, wherein the potting material encapsulates the components and is substantially transparent to visible light, infrared light, and / or ultraviolet light.

WEARABLE COMPUTING DEVICE
20230213970 · 2023-07-06 ·

A smart ring includes a curved housing having a U-shape interior storing components including: a curved battery approximately conforming to the curved housing, a semi-flexible PCB approximately conforming to the curved housing and having mounted thereon: a motion sensor for generating motion data from physical perturbations of the smart ring, a memory for storing executable instructions, a transceiver for sending data to a client computer, a temperature sensor, and a processor for receiving motion data and performing executable instructions in response thereto, and a potting material disposed in the interior, forming an interior wall of the smart ring, wherein the potting material encapsulates the components and is substantially transparent to visible light, infrared light, and / or ultraviolet light.

Mouth Guard Having Low-Profile Printed Circuit Board For Sensing And Notification Of Impact Forces

A mouth guard senses impact forces and determines if the forces exceed an impact threshold. If so, the mouth guard notifies the user of the risk for injury by haptic feedback, vibratory feedback, and/or audible feedback. The mouth guard system may also remotely communicate the status of risk and the potential injury. The mouth guard uses a local memory device to store impact thresholds based on personal biometric information obtained from the user and compares the sensed forces relative to those threshold values. The mouth guard and its electrical components on the printed circuit board are custom manufactured for the user such that the mouth guard provides a comfortable and reliable fit, while ensuring exceptional performance.

Mouth Guard Having Low-Profile Printed Circuit Board For Sensing And Notification Of Impact Forces

A mouth guard senses impact forces and determines if the forces exceed an impact threshold. If so, the mouth guard notifies the user of the risk for injury by haptic feedback, vibratory feedback, and/or audible feedback. The mouth guard system may also remotely communicate the status of risk and the potential injury. The mouth guard uses a local memory device to store impact thresholds based on personal biometric information obtained from the user and compares the sensed forces relative to those threshold values. The mouth guard and its electrical components on the printed circuit board are custom manufactured for the user such that the mouth guard provides a comfortable and reliable fit, while ensuring exceptional performance.

Virtual Reality System with Modeling Poses of Tracked Objects by Predicting Sensor Data
20230213549 · 2023-07-06 ·

A platform system receives sensor data describing the state and orientation of a tracked object and models the pose of the tracked object to determine user interactions with the platform system. To ensure that incorrect sensor data due to a saturation event or connection loss does not impact user experience, the platform system identifies regions for correction in sensor data streams based on the sensor data being at or above a saturation limit or not being received. The platform system predicts sensor data for an identified region of correction by applying a fit corresponding to points adjacent to the region for correction and determining predicted sensor data using the applied fit. The predicted sensor data is used to correct the modeled pose for the tracked object.