A low heat-resistant sensor that has high chemical resistance, excellent drip-proof properties, and excellent dust-proof properties is provided. The low heat-resistant sensor includes a sensor body that includes a sensor unit that is disposed in a housing and a cable that is electrically connected to the sensor unit of the sensor body. The housing of the sensor body is composed of fluorine resin, the cable is covered by a tube composed of fluorine resin, a portion at which the housing and the tube are connected to each other is thermally bonded, and the housing and the tube are integrally formed.

The present disclosure relates to a magnetic inductive flow sensor for determining the flow or the flow speed of a liquid medium in a measurement tube and comprises a housing, a front part which is situated in the end of the housing and has a front end which can be loaded by the medium, at least two measuring electrodes which form a galvanic contact with the medium, and a magnetic-field-generating device situated in the housing for generating a magnetic field extending through the front end. The sensor for determining a process parameter of the medium is situated in the housing.

The present disclosure relates to a magnetic inductive flow sensor for determining the flow or the flow speed of a liquid medium in a measurement tube and comprises a housing, a front part which is situated in the end of the housing and has a front end which can be loaded by the medium, at least two measuring electrodes which form a galvanic contact with the medium, and a magnetic-field-generating device situated in the housing for generating a magnetic field extending through the front end. The sensor for determining a process parameter of the medium is situated in the housing.

The present invention relates to a method and system for automatically calculating an artificial intelligence (AI)-based design wind speed, which capable of economically designing a structure by quickly and accurately calculating the design wind speed at a target point through relationship learning between the design target point and a neighboring weather observation station by AI.

The present invention relates to a method and system for automatically calculating an artificial intelligence (AI)-based design wind speed, which capable of economically designing a structure by quickly and accurately calculating the design wind speed at a target point through relationship learning between the design target point and a neighboring weather observation station by AI.

An air data system for measuring an airspeed includes a pair of electrodes, and one or more magnets arranged relative to the pair of electrodes. The pair of electrodes includes a first electrode and a second electrode spaced apart from the first electrode along a first dimension by an air gap. The one or more magnets produce a magnetic field within the air gap. The air data system further includes an electronic circuit interfacing with the pair of electrodes. The electronic circuit outputs a voltage difference measured between the pair of electrodes across the air gap. A magnitude of the voltage difference indicates a magnitude of an air stream velocity through the air gap.

Disclosed is a device for measurement of a flow speed of a gas comprises a probe, a voltage supply source and a pulse-counting detection circuit. The probe comprises an axial electrode whose exposed end has a small radius of curvature, and a peripheral electrode. The supply source applies an alternating voltage between both electrodes, and electrical discharges which are produced through the gas between the two electrodes are detected and counted by the detection circuit. Such a speed measurement device is particularly reliable, and suited for use on board an aircraft for measuring the speed thereof relative to the surrounding air.

Disclosed is a device for measurement of a flow speed of a gas comprises a probe, a voltage supply source and a pulse-counting detection circuit. The probe comprises an axial electrode whose exposed end has a small radius of curvature, and a peripheral electrode. The supply source applies an alternating voltage between both electrodes, and electrical discharges which are produced through the gas between the two electrodes are detected and counted by the detection circuit. Such a speed measurement device is particularly reliable, and suited for use on board an aircraft for measuring the speed thereof relative to the surrounding air.

An electrode-arc sensor for measuring air data. The sensor includes a pair of electrodes which are arranged substantially parallel to one another to form a fluid gap therebetween. The fluid gap is arranged to receive a stream of fluid such as air. A voltage source is operatively connected to the pair of electrodes to generate a voltage and induce an arc therebetween. A controller operatively connected to the voltage source is configured to command the voltage source to generate a voltage until the arc is induced. Once induced, a time-series of the voltage measurements is generated based on a voltage sensor across the pair of electrodes. The ionized air surrounding the induced arc is acted upon by the fluid stream. The controller determines a fluid speed and fluid density of the fluid stream based on the time series of voltage measurement as the arc travels past the pair of electrodes.

Disclosed is a wind speed sensor based on a flexible inductor and a silicon-based inductor, which relates to a MEMS device and belongs to the field of measurement and testing technologies. The wind speed sensor is a double-layer inductor structure composed of a flexible inductor and a silicon-based inductor. A metal layer of the flexible inductor and a metal layer of the silicon-based inductor face to each other and form, between them, an air cavity sufficient for mutual induction of electromotance. A contact block constituting a measuring port is deposited in the metal layer of the silicon-based inductor. The present invention has a light structure, and implements wind speed detection based on the Bernoulli effect and the coil mutual inductance effect.