According to an example aspect of the present invention, there is provided a MEMS pressure sensor, comprising: a sensor portion comprising a deformable membrane and a first volume, and a valve portion comprising a first output to a first side of the pressure sensor and a second output to a second side of the pressure sensor. The valve portion is operable to close the second output and open the first output to equalize pressure in the first volume with pressure at the first side of the pressure sensor for calibrating the sensor; and close the first output and open the second output to equalize pressure in the first volume with pressure at the second side of the pressure sensor for pressure measurement.

A pressure sensor includes a Wheatstone bridge circuit including a first resistor, a second resistor, a third resistor, and a fourth resistor having matching output characteristics. The pressure sensor further includes a first trim resistor in series with the Wheatstone bridge circuit, wherein the first trim resistor has output characteristics matching the output characteristics of the first resistor, the second resistor, the third resistor, and the fourth resistor of the Wheatstone bridge. The pressure sensor additionally includes a second trim resistor in parallel or a parallel loop with the Wheatstone bridge circuit, wherein the second trim resistor has output characteristics matching the output characteristics of the first resistor, the second resistor, the third resistor, and the fourth resistor of the Wheatstone bridge.

A method for estimating the pressure measurement bias of a barometric sensor in a wireless terminal. A location engine using the method generates an enhanced estimate of the measurement bias. The location engine generates the enhanced estimate based in part on relatively coarse estimates of the elevation of the wireless terminal. Each coarse estimate of elevation is often generated from noisy measurements, such as measurements of signals transmitted by Global Positioning System (GPS) satellites, and has an associated uncertainty. The location engine accounts for the uncertainty in these estimates of elevation by applying an optimal estimation technique, such as Kalman filtering, and by compensating for environment-related effects. Compensating includes filtering across a plurality of lateral locations and imposing a lower bound of bias uncertainty at the lateral locations. Once the location engine generates the enhanced estimate of measurement bias, it can generate improved estimates of elevation of the wireless terminal.

A pressure measuring device for a tyre includes an electronic circuit distributed over a first face and a second face of an electronic board and comprising a pressure sensor mounted on the first face of said electronic board; an antenna connected to the electronic circuit; a first housing part covering the first face such that together they delimit a first volume, and comprising channels fluidically connecting the first volume to the outside; a second housing part covering the second face such that together they delimit a second volume, and having a base for resting against an inner surface of a tread of the tyre, the second housing part being arranged such that the antenna projects laterally with respect to said second housing part and the housing has a centre of gravity located in the second volume spaced apart from the electronic board.

Disclosed herein are advantageous measuring devices, and systems of the present disclosure and adjustment methods/techniques thereof. The present disclosure provides improved measuring devices (e.g., pressure/temperature measuring devices), and improved systems/methods for adjusting one or more features (e.g., offset and/or span) associated with measuring devices. More particularly, the present disclosure provides sealed measuring devices (e.g., sealed signal conditioning devices, such as sealed pressure transducers or transmitters) having adjustment members (e.g., magnet members) that allow a user to adjust the offset and/or span of the sealed measuring devices. The measuring devices include an adjustment member that allows a user to make adjustments to one or more features of the measuring devices. For example, a sealed pressure transducer can include an magnet member that allows a user to make fine (precision) adjustments of output offset and/or span (e.g., in the field), without breaching the enclosure or housing of the measuring device.

A differential pressure gauge of the invention contains: a diaphragm layer disposed between first and second parts; and a wall between a first region on a pressure-receiving portion side and a second region on a first through-hole side within a second pressure chamber. The diaphragm layer covers the pressure-receiving portion over a first pressure chamber and has the first through-hole with one end disposed in the second pressure chamber away from the pressure-receiving portion. The wall is disposed with gaps formed from inner walls of the second pressure chamber. The first pressure chamber is formed through the first part, the second pressure chamber has an opening facing the diaphragm layer, the first part has a second through-hole continuing to the first through-hole, and a base has a third through-hole with one end disposed in the first pressure chamber and a fourth through-hole continuing to the second through-hole.

A fuel assembly inspection system that utilizes a pressure transducer mounted to a utility's spent fuel handling tool to detect a relative change in depth of a fuel assembly during fuel inspections. The system then wirelessly transmits the signal to a fuel inspection recording system, which converts the signal to a relative height along the fuel assembly being viewed by a camera, and displays the relative height along with the applicable fuel assembly feature being viewed by the camera (e.g., nozzle, grid, span) via a text overlay on the video image of the inspection.

A pressure sensing package includes a sensor chamber and an annular chamber extending about the sensor chamber. A primary diaphragm divides the sensor chamber into a first part receiving a first pressure and a second part including a differential pressure sensor approximately centered with respect to a sensor axis and a first transmission fluid. The first transmission fluid transmits the first pressure to a first differential pressure sensor face. A secondary diaphragm divides the annular chamber into a first part receiving a second pressure and a second part including a second transmission fluid. The second pressure is transmitted to a second pressure sensor face via the secondary diaphragm and the second transmission fluid. The primary and secondary diaphragms are positioned with respect to one another along the sensor axis direction such that pressures other than the first and second pressures acting on the pressure sensor sum to approximately zero.

A method for estimating the pressure measurement bias of a barometric sensor in a wireless terminal. A location engine using the method generates an enhanced estimate of the measurement bias. The location engine generates the enhanced estimate based in part on relatively coarse estimates of the elevation of the wireless terminal. The coarse estimates are used to generate instantaneous estimates of measurement bias and bias uncertainty. As needed, the location engine adjusts the instantaneous estimate of bias uncertainty, in order to reflect an instantaneous estimate of measurement bias that is recognized as being in error. The adjustment is based on what is expected as a probable measurement bias value for the particular wireless terminal. Once the location engine generates the enhanced estimate of measurement bias, it can generate improved estimates of elevation of the wireless terminal.

A method for estimating the pressure measurement bias of a barometric sensor in a wireless terminal. A location engine using the method generates an enhanced estimate of the measurement bias. The location engine generates the enhanced estimate based in part on Global Navigation Satellite System (GNSS)-based estimates of the elevation of the wireless terminal, which the terminal generates as it concurrently makes barometric pressure measurements. Each GNSS-based estimate of elevation is often generated from noisy measurements and has an associated uncertainty. The location engine accounts for the uncertainty in the GNSS estimates of elevation by applying an optimal estimation technique, such as Kalman filtering, on the biased pressure measurements and the GNSS-based estimates. Once the location engine generates the enhanced estimate of measurement bias, it can adjust subsequent measurements of barometric pressure made by the wireless terminal and generate improved estimates of elevation of the wireless terminal.