The at least one value is respectively determined from at least one measured value of the sensors (20-29) in a method for determining at least one physical value in a space (10) in which several sensors (20-29) are arranged which are set up to measurer the at least one value, for several positions (30) in the space (10) where there is no sensor (20-29). A system which is set up in order to determine the at least one physical value in the space (10) has several sensors (20-29) which are arranged in the space (10). Furthermore, it has a database, in which information about the space (10) is stored, and a computer which is set up in order to determine the at least one value by means of the method.

An ostomy bag can include one or more sensors for measuring one or more metrics. An ostomy wafer can also include one or more sensors for measuring one or more metrics. The sensors can be temperature sensors and/or capacitive sensors, for example, and the metrics can include bag fill, leakage, skin irritation, and phase of stoma output, among others.

The invention relates to a temperature measurement device comprising at least three probes, a computer, the computer being configured to estimate a temperature on the basis of voltage measurements at the output of the probes, characterised in that the probes are connected together in a plurality of meshes mounted in series, with at least one mesh comprising at least two probes mounted in parallel and at least one other mesh comprising a probe or a plurality of probes mounted in parallel.

A core sample with carbonate veins is obtained from a well formed in the hydrocarbon reservoir. Formation water samples are obtained from the well. Mineralogy of carbonate in the carbonate veins is analyzed. An oxygen isotope ratio between oxygen isotopes in the formation water and an oxygen isotope ratio between oxygen isotopes in the carbonates are determined. A formation paleo-temperature value is determined based on the determined oxygen isotope ratio using a model that relates the formation paleo-temperature value and the oxygen isotope ratio.

A method of optimizing production of a hydrocarbon-containing reservoir by measuring low-frequency Distributed Acoustic Sensing (LFDAS) data in the well during a time period of constant flow and during a time period of no flow and during a time period of perturbation of flow and simultaneously measuring Distributed Temperature Sensing (DTS) data from the well during a time period of constant flow and during a time period of no flow and during a time period of perturbation of flow. An initial model of reservoir flow is provided using the LFDAS and DTS data; the LFDAS and DTS data inverted using Markov chain Monte Carlo method to provide an optimized reservoir model, and that optimized profile utilized to manage hydrocarbon production from the well and other asset wells.

A thermal measurement system includes a thermocouple configured to couple to a location of a heating element of an electronic smoking article. The thermocouple is structured to measure a surface temperature of the location. A thermocouple data module is operatively connected to the thermocouple and is structured to receive data of the surface temperature from the thermocouple. A pneumatic system is configured to connect to an end of the electronic smoking article and draw an air flow through the electronic smoking article. The pneumatic system includes a solenoid valve having an open state that causes air to flow through the electronic smoking article. The solenoid valve has a closed state that prevents air flow through the electronic smoking article. An infrared camera is disposed over the viewing window. The infrared camera is configured to measure a wire temperature of a heating element wire of the electronic smoking article.

A method for thermally-sensitive coating analysis of a component includes imaging the coated, exposed component over a range of distinct frequencies as selected by a narrowband variable filter; estimating parameters of non-uniformity correction (NUC) for every pixel at every wavelength; constructing a 2D temperature map on a pixel-by-pixel basis using the non-uniformity correction; and mapping the 2D temperature map to a 3D computer aided design (CAD) model.

A digital sensor network is overlaid on an integrated circuit for identifying and mapping hotspots in the integrated circuit. The digital sensor network may include a plurality of digital sensors distributed within an area of an integrated circuit component of an integrated circuit. Each of the plurality of digital sensors may include a ring oscillator and may be configured to output a counter value of a ring oscillator counted over a designated period. A sensor network control unit may be provided that is communicatively connected to the plurality of digital sensors via a communication circuit. The sensor network control unit may be configured to receive a plurality of counter values including the counter value from each of the plurality of digital sensors and identify a hotspot within the area of the integrated circuit.

A hybrid integrated thermal sensor device includes a magnetic tunnel junction (MTJ) device electrically coupled in series with at least one CMOS transistor and disposed between a voltage rail terminal and a ground terminal. An output terminal is electrically coupled to a drain of the at least one CMOS transistor. The MTJ operates in an anti-parallel state and the output terminal provides a voltage indicative of a temperature of the MTJ device based on an MTJ antiparallel resistance. A distributed sensor network for real-time thermal mapping of an integrated circuit (IC) is also described.

Disclosed are various embodiments for an automated temperature logging and predictive alerting system for monitoring items that are being cooled or heated. In one embodiment, a predictive logging application may compare a predicted temperature curve of an item to a predefined slope to predict whether or not the item will meet a target threshold. The target threshold may be a target temperature or duration rule that can be aggregated discontinuously over a single day or multiple days. If the projected temperature curve is predicted to not meet the target threshold, the logging application may send alerts notifying a client of available corrective actions. In projecting the predicted slope, the predictive logging application may train machine learning models to analyze historical data associated with the item and the user.