Improvements in thin film sensors are disclosed. These can be used for aircraft applications. Dielectric isolation washers can be provided between a pressure sensor and an exterior metal housing of a sensor assembly. In this manner, high voltage inputs from a lightning strike or other source that reach the sensor housing are not transmitted to the sensor. Dielectric washers, insulators, and potting compounds can thus isolate a metal thin film pressure sensor from adjacent metal components (e.g., using non-conducting insulating materials like Torlon, zirconia and nylon). Besides their high dielectric strength, these materials exhibit compressive strength and resistance to wear, creep and corrosion. Desirable thicknesses for these components are provided. The described thin film pressure sensor embodiments can attain a dielectric rating of 1500 VAC.

A theoretical reserve evaluation method for ocean current energy includes steps of: 1) selecting a target region, and extracting a coordinate range of the target region; 2) obtaining a seabed water depth of the target region; 3) obtaining hydrological data of flow velocities and seawater densities of a target region space; 4) calculating a theoretical reserve of the ocean current energy per unit area of the target region according to the hydrological data, 5) calculating an area of the target region; and 6) calculating the theoretical reserves of the ocean current energy within a spatial range of the target region according to the hydrological data of the flow velocities and the seawater densities obtained in the step 3), the seabed water depth of the target region obtained in the step 2), and the area of the target region obtained in the step 5).

A theoretical reserve evaluation method for ocean current energy includes steps of: 1) selecting a target region, and extracting a coordinate range of the target region; 2) obtaining a seabed water depth of the target region; 3) obtaining hydrological data of flow velocities and seawater densities of a target region space; 4) calculating a theoretical reserve of the ocean current energy per unit area of the target region according to the hydrological data, 5) calculating an area of the target region; and 6) calculating the theoretical reserves of the ocean current energy within a spatial range of the target region according to the hydrological data of the flow velocities and the seawater densities obtained in the step 3), the seabed water depth of the target region obtained in the step 2), and the area of the target region obtained in the step 5).

The present invention relates to an apparatus and a method for predicting the dispersion of hazardous and noxious substances and, more specifically, provides an apparatus and a method for predicting the dispersion of hazardous and noxious substances, the method: checking the components of the hazardous and noxious substances having leaked into the ocean, so as to classify the hazardous and noxious substances into a corresponding classification set among twelve classification sets by means of at least one of vapor pressure, the degradation in water, or density; dividing the classification sets, in which the hazardous and noxious substances are classified, into one dispersion model among an air dispersion model, a seawater dispersion model, and an air/seawater dispersion model according to the dispersion characteristics thereof; acquiring, from a weather center server, the state information of a sea area, which is set to be different according to the divided dispersion models; and predicting a danger radius for the dispersion of the hazardous and noxious substances by using the acquired state information of the sea area, and outputting the same.

The present invention relates to an apparatus and a method for predicting the dispersion of hazardous and noxious substances and, more specifically, provides an apparatus and a method for predicting the dispersion of hazardous and noxious substances, the method: checking the components of the hazardous and noxious substances having leaked into the ocean, so as to classify the hazardous and noxious substances into a corresponding classification set among twelve classification sets by means of at least one of vapor pressure, the degradation in water, or density; dividing the classification sets, in which the hazardous and noxious substances are classified, into one dispersion model among an air dispersion model, a seawater dispersion model, and an air/seawater dispersion model according to the dispersion characteristics thereof; acquiring, from a weather center server, the state information of a sea area, which is set to be different according to the divided dispersion models; and predicting a danger radius for the dispersion of the hazardous and noxious substances by using the acquired state information of the sea area, and outputting the same.

A wind turbine including a rotor, a nacelle, a generator, and a wind sensor is provided, wherein the wind sensor is arranged above a part of the generator that extends between the rotor and the nacelle. Furthermore, a wind farm including a plurality of interconnected wind turbines is described. Yet further, a method of assembling or modifying a wind turbine is described.

A wind turbine including a rotor, a nacelle, a generator, and a wind sensor is provided, wherein the wind sensor is arranged above a part of the generator that extends between the rotor and the nacelle. Furthermore, a wind farm including a plurality of interconnected wind turbines is described. Yet further, a method of assembling or modifying a wind turbine is described.

An embodiment provides a device for measuring a fluid parameter of fluid flow in a channel, including: a transmitter; at least one receiver; a processor operatively coupled to the at least one transmitter and the at least one receiver; a memory device that stores instructions executable by the processor to: transmit, using the transmitter, directed energy carrying a signal toward a surface of a fluid in a fluid channel, so as to produce one or more reflections from the fluid surface; detect, by the at least one receiver, one or more received signals associated with the one or more reflections so produced; determine, based upon a measurement beam comprising characteristics of the transmitted and received signals, one or more fluid parameters to be measured using a processor of the device; and associate, using a processor of the device, the one or more fluid parameters with a channel segment. Other embodiments are described and claimed.

A photogrammetry system includes a memory, a processor, and a geo-positioning device. The geo-positioning device outputs telemetry regarding a vehicle on which one or more cameras are mounted. The processor can receive first telemetry from the geo-positioning device characterizing the vehicle telemetry at a first time, camera specification(s) regarding the cameras, photogrammetric requirement(s) for captured images, and a last camera trigger time. The processor can determine a next trigger time for the cameras based upon the received telemetry, camera specification(s), photogrammetric requirement(s), and last trigger time. The processor can transmit a trigger signal to the camera(s) and the geo-positioning device to cause the camera(s) to acquire images of a target and the geo-positioning device to store second vehicle telemetry data characterizing the vehicle telemetry at a second time that is after the first time and during acquisition of the images. The processor can receive the acquired images from the cameras.

A photogrammetry system includes a memory, a processor, and a geo-positioning device. The geo-positioning device outputs telemetry regarding a vehicle on which one or more cameras are mounted. The processor can receive first telemetry from the geo-positioning device characterizing the vehicle telemetry at a first time, camera specification(s) regarding the cameras, photogrammetric requirement(s) for captured images, and a last camera trigger time. The processor can determine a next trigger time for the cameras based upon the received telemetry, camera specification(s), photogrammetric requirement(s), and last trigger time. The processor can transmit a trigger signal to the camera(s) and the geo-positioning device to cause the camera(s) to acquire images of a target and the geo-positioning device to store second vehicle telemetry data characterizing the vehicle telemetry at a second time that is after the first time and during acquisition of the images. The processor can receive the acquired images from the cameras.