11results about "Temperature mapping" patented technology

This invention relates to a wireless thermometer featuring a trident probe configuration, optimized for monitoring and controlling food temperatures during cooking. The central probe extends deeper, while two shorter side probes measure temperature at the edges, providing a comprehensive thermal profile. Temperature data is transmitted to a connected electronic device, where AI algorithms process temperature trends and food images to suggest cooking adjustments. These adjustments include precise grill height and power settings, enabling users to achieve consistent and well-monitored cooking results. The thermometer's robust data transmission capability and real-time feedback improve cooking efficiency and accuracy.

The invention relates to a method for determining (300) a temperature field of a part (102), said method comprising the following steps: measuring (306) temperatures (Tm) on said part (102) by means of an array of N temperature sensors (104), where N is a natural number strictly greater than one, said temperature sensors (104) being fixed on or in the part (102); from a reference thermal source (S), determining (304) a set of simulated temperatures (Ts) on said part (102) by application of a direct model (M) of thermal conduction with a mesh (500) of the part (102) according to a finite element technique, said mesh (500) comprising a plurality of cells (502); define the position of each temperature sensor within the mesh; for each of the meshes (502), correlate (308) the temperature values ​​(Tm) measured in step a) to a simulated temperature value (Ts) obtained at the end of step b).Figure for the summary: Fig. 3.

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.

Systems and methods for thermal monitoring of electrical panels and cabinets. The system comprises sensor nodes and rigid links. The nodes may be modular and configured to connect to one another through the rigid links. The rigid links may be of a predefined length and the physical layout of the nodes may be determined by mapping each node to a coordinate location based on the length of the rigid link and the position and orientation of the starting and ending ports on the nodes being connected. This allows for the generation of coverage maps of the sensors and layouts to be generated without prior knowledge of the node placement.

The disclosure relates to a method for detecting a faulty temperature sensor out of a plurality of temperature sensors in a battery assembly for a vehicle. Each of the plurality of temperature sensors is arranged in an associated location. The method comprises obtaining a plurality of data items (DI), wherein each data item (DI) is associated with a temperature sensor out of the plurality of temperature sensors and wherein each data item (DI) is indicative of a temperature and a location of the associated temperature sensor. The method further comprises comparing the data items (DI) with respect to the associated temperatures and / or the associated locations. Moreover, the method comprises determining, based on the comparing, one or more outlier data items (DI) out of the plurality of data items (DI) and inferring the one or more temperature sensors associated with the one or more outlier data items (DI) to be faulty. The disclosure further relates to a data processing apparatus, to a computer program and to a computer-readable storage medium. Furthermore, the disclosure is directed to a battery assembly for a vehicle and to a vehicle comprising the battery assembly.

Disclosed examples relate to a method and system for applying automated calibration (i.e., autocalibration) to distributed temperature sensing (DTS) measurements. In some examples, there is provided a method for automated calibration of distributed temperature sensing (DTS) measurements, comprising receiving, at a switching unit, sequence increment data from a DTS module used for acquiring DTS measurements in a downhole well; identifying, at the switching unit, a next entry in a sequence-channel listing stored in the switching unit; adjusting a switching configuration of the switching unit to couple the identified input temperature channel to an output interface of the switching unit, the output interface being coupled to the DTS module; and transmitting calibration temperature data through the switching unit from the at least one temperature sensor to the DTS module to allow automatic calibration of the DTS measurements by the DTS module.

A method for detecting a faulty temperature sensor out of a plurality of temperature sensors in a battery assembly for a vehicle. Each of the plurality of temperature sensors is arranged in an associated location. The method includes obtaining a plurality of data items (DI), where each data item (DI) is associated with a temperature sensor out of the plurality of temperature sensors and where each data item (DI) is indicative of a temperature and a location of the associated temperature sensor. The method further includes comparing the data items (DI) with respect to the associated temperatures and / or the associated locations. Moreover, the method includes determining, based on the comparing, one or more outlier data items (DI) out of the plurality of data items (DI) and inferring the one or more temperature sensors associated with the one or more outlier data items (DI) to be faulty.

Device (100) for determining sensor values ​​(T1, T2, T3), comprising: - at least one signal generator (10) for generating input signals, - a first branch (Z1), wherein the first branch (Z1) has at least one first filter element (21) and at least one first sensor (31), - at least one further branch (Z2, Z3), wherein the at least one further branch (Z2, Z3) has at least one further filter element (22, 23) and at least one further sensor (32, 33), - at least one measuring element (40) for tapping output signals, wherein the first branch (Z1) and the at least one further branch (Z2, Z3) are arranged in a parallel circuit, wherein the at least one signal generator (10) is connected upstream of the parallel circuit, wherein the at least one measuring element (40) is connected downstream of the parallel circuit, wherein the device (100) is configured to perform the following steps: - generating (S1) at least one filter-specific input signal (f1,f2, f3),- Tapping (S2) at least one associated output signal (i1, i2, i3),- Determining (S3) at least one sensor value (T1, T2, T3) for at least one of the sensors (31, 32, 33) as a function of the at least one filter-specific input signal (f1, f2, f3) and the associated at least one output signal (i1, i2, i3).,

This invention relates to a method for detecting a faulty temperature sensor among multiple temperature sensors in a vehicle battery assembly. Each of the multiple temperature sensors is arranged at an associated location. The method includes obtaining multiple data items (DIs), each data item (DI) associated with a temperature sensor of the multiple temperature sensors, wherein each data item (DI) indicates the temperature and location of the associated temperature sensor. The method also includes comparing the data items (DIs) relative to the associated temperature and / or location. Furthermore, the method includes determining one or more abnormal data items (DIs) among the multiple data items (DIs) based on the comparison, and inferring that one or more temperature sensors associated with the one or more abnormal data items (DIs) are faulty. The invention also relates to a data processing apparatus, a computer program, and a computer-readable storage medium. Furthermore, this disclosure relates to a battery assembly for a vehicle and a vehicle including the battery assembly.

An object of the present disclosure is to reduce the number of sensors required to estimate the distribution of an environmental value. An estimation method includes an acquisition step, a kriging step, and a longitudinal extension step. The kriging step includes obtaining a distribution of the environmental value on a reference plane by kriging method based on a measured value of the environmental value at a measuring point of a sensor. The longitudinal extension step includes obtaining a distribution of the environmental value in a height direction in a longitudinal region based on the environmental value obtained in the kriging step with respect to a specified point on a reference plane and a function representing a variation in the environmental value in the height direction. The longitudinal region includes the specified point on the reference plane and extends in the height direction.

The present invention discloses an XGBoost-based lithium-ion battery thermal runaway acoustic source localization error compensation method. Acoustic signals in an energy storage cabin are collected using a fixed microphone array, including time delay data, cross power spectrum data, and acoustic source localization coordinates calculated by a conventional geometric method. The localization error is calculated by comparing the geometric localization coordinates with actual acoustic source position coordinates, and a feature vector is constructed based on the extracted acoustic features. These feature vectors are used to train an XGBoost model. In practical applications, real-time time delay data, cross power spectrum data, and geometric localization coordinates are input into the trained model, and the predicted error value is used to correct the geometric acoustic source localization results, thereby obtaining a more accurate acoustic source position for a thermal runaway lithium-ion battery.