180results about "Temperature mapping" patented technology

A multispectral light field imaging system includes a primary lens, a microlens array, a first relay lens, a dichroic lens, a second relay lens, a third relay lens, a first image sensor, a first filter, a second image sensor and a second filter, wherein the microlens array is located at an image plane of the primary lens; the first relay lens together with the second relay lens and the third relay lens forms a 1:1 relay lens group imaging system on a spectral band 1 light path and a spectral band 2 light path respectively; the dichroic lens forms an included angle of 45° with a light axis; the first image sensor is located at a focal plane of the second relay lens, and the second image sensor is located at a focal plane of the third relay lens.

An instrumented blanket includes an insulative material and a temperature control structure integrated with the insulative material. The heating structure is configured to produce a heat or a cooling output in response to an input signal. The temperature-control blanket further includes an optical sensor including an optical fiber integrated with the insulative material along the heating structure. The optical sensor is configured to detect a change in an optical property measured from a plurality of intervals along a length of the optical fiber. The change in the optical property is indicative of a temperature of the temperature-control blanket at a respective interval of the plurality of intervals.

A heat sensor assembly for a power distribution system is disclosed. The assembly comprises: a cable, containing a plurality of at least three heat sensors arranged along the length of the cable, each of the heat sensors being spaced from the next by an interval: an end module at a first end of the cable, the end module having a corresponding plurality of terminal pairs, each terminal pair being dedicated to one of the heat sensors; circuitry inside the cable, connecting each of the heat sensors across a corresponding one of the terminal pairs such that each terminal pair outputs a temperature signal indicative of the temperature sensed by the corresponding heat sensor; and a controller configured to receive the temperature signal from each terminal pair and to compare the temperature signals against one another to determine whether the temperature sensed by any one of the heat sensors differs from that sensed by the other heat sensors by more than a predetermined threshold (ΔTALARM), and if so to generate an alarm signal.

For effective monitoring of battery health, it is important that the temperature characteristics of the battery are monitored. However, in certain battery pack designs, the number of batteries in the stack can be high, so sensors for measurement will not be able to monitor all the batteries in the stack. Existing battery monitoring approaches fail to tackle this problem. The disclosure herein generally relates to battery monitoring, and, more particularly, to method and system of predicting temperature distribution in a battery pack. In this approach, the system calculates a lumped conductance value for a battery pack being monitored, and in turn uses the value of the lumped conductance to predict a temperature distribution value in the battery, which is indicative of health of the battery pack.

The invention discloses a lithium battery thermal runaway sound source positioning error compensation method based on XGBoost, and the method comprises the steps: collecting sound signals, including time delay and cross-power spectrum data, in an energy storage cabin in a fixed microphone array, and sound source positioning coordinates calculated by a conventional geometric method, and then comparing the geometric positioning coordinates with actual sound source position coordinates, thereby achieving the compensation of the thermal runaway sound source positioning error of a lithium battery. And calculating a positioning error, and constructing a feature vector. And training an XGboost model by using the feature vectors. In practical application, time delay, cross-power spectrum data and geometric positioning coordinates which are calculated in real time are input, traditional geometric sound source positioning coordinates are corrected through error values obtained through the prediction model, and therefore the more accurate sound source position is obtained. According to the method, an XGBoost error compensation model is introduced to correct errors generated by geometric positioning, so that the position of the thermal runaway lithium battery is accurately positioned.

Disclosed in the present invention are a multispectral light field imaging system, and a three-dimensional temperature field measurement method and measurement system. The multispectral light field imaging system comprises: a primary lens, a micro-lens array, a first relay lens, a dichroic mirror, a second relay lens, a third relay lens, a first image sensor, a first optical filter, a second image sensor and a second optical filter, wherein the micro-lens array is located at an image plane of the primary lens; the first relay lens, the second relay lens and the third relay lens together form a 1:1 relay lens group imaging system on an optical path of a spectral band I and an optical path of a spectral band II; an angle of 45° is formed between the dichroic mirror and an optical axis; and the first image sensor is located at a focal plane of the second relay lens, and the second image sensor is located at a focal plane of the third relay lens. The present invention realizes the collection of multispectral light field data while maintaining the amount of light field data of each spectrum unchanged, such that an instantaneous three-dimensional temperature field of a flow field can be measured.

The invention provides a speed field and temperature field synchronous measurement method based on temperature-sensitive phosphorescent particles, and relates to the technical field of flow field observation.The method comprises the steps that the service life of the temperature-sensitive phosphorescent particles is measured, and a service life-temperature curve is obtained; obtaining a time sequence image of the temperature-sensitive phosphorescent particles; performing three-view separation processing on the time sequence image to obtain a processed image; performing three-dimensional reconstruction and trajectory fitting operation on the processed image to obtain a three-dimensional velocity field; acquiring a red total-resolution image of the temperature-sensitive phosphorescent particles irradiated by the light source; calculating the temperature-sensitive phosphorescent particle intensity of the red full-resolution image, and obtaining the self-luminous lifetime through the temperature-sensitive phosphorescent particle intensity; a three-dimensional temperature field is obtained through the service life-temperature curve and the self-luminous service life; and fusing the three-dimensional velocity field and the three-dimensional temperature field to obtain a three-dimensional velocity-temperature field. According to the method, the stability of reconstructing the three-dimensional velocity field and the precision of temperature measurement are improved through the three-color mask single-color camera and the service life method of the temperature-sensitive phosphorescent particles.

A multiple-virtual-temperature-sensor-per-computing-component cooling system includes a chassis housing a cooling system and a BMC device coupled to a computing component that includes physical temperature sensors. The BMC device identifies the physical temperature sensors included in the computing component, and creates virtual device(s) that includes a respective virtual temperature sensor for each of the physical temperature sensors. The BMC device then retrieves respective temperature data from each of the physical temperature sensors and, for each virtual temperature sensor included in the virtual device(s), provides the respective temperature data that was retrieved from the physical temperature sensor for which that virtual temperature sensor was created in a cooling system control algorithm to generate cooling system control information. The BMC device then uses the cooling system control information to control the cooling system.

An example method described herein includes operating a first component of a circuit. The method also includes, while operating the first component, supplying a current to a superconducting wire that is thermally-coupled to the first component, and determining whether the superconducting wire has transitioned between a superconducting state to a non-superconducting state in response to the current. The method further includes measuring a temperature of the first component based on whether the superconducting wire transitioned between the superconducting state to the non-superconducting state in response to the current, and adjusting operation of the first component in accordance with a determination that the temperature exceeds a predetermined threshold temperature.

An ice maker, an ice making and demolding control method therefor and a corresponding apparatus, and a medium. The method comprises: acquiring the ambient temperature of a physical space where an ice maker is located; on the basis of a first mapping relationship, determining an ice forming duration corresponding to the ambient temperature, and controlling a heat exchange mechanism in the ice maker to make ice according to the ice forming duration; and on the basis of a second mapping relationship, determining an ice releasing duration corresponding to the ambient temperature, and after an ice making process is completed, controlling the heat exchange mechanism in the ice maker to release ice according to the ice releasing duration.

The invention discloses a multi-point detection food thermometer control method and system. The method comprises the following steps: defining a temperature change curve of each temperature detection point based on the detection temperature of each temperature detection point; according to the method, the temperature distribution diagram of the food is constructed based on the multiple temperature change curves and the types of the food, overall consideration of the multiple temperature change curves and the types of the food is compatible, multi-dimensional control over the multiple temperature change curves and the types of the food is achieved, and the accuracy of the temperature distribution diagram is guaranteed. Calculating the remaining cooking time of the food according to the temperature distribution diagram of the food; the cooking control logic of the food is triggered according to the remaining cooking time of the food, the cooking instruction of each part in the food is dynamically controlled based on the cooking control logic, and cooking control is performed by fully utilizing the temperature distribution diagram of the food, so that the remaining cooking time of the food is conveniently measured, the accuracy of the remaining cooking time of the food is ensured, and the cooking efficiency is improved. Temperature control of the food thermometer on the food and intelligent cooking of the food are achieved.

The internal temperature distribution of a battery cell is assessed by acquiring lithium content at different positions on a negative electrode plate of a target battery cell and a corresponding test environment temperature and determining lithium intercalation reaction rate ratios at different positions based on the lithium content at different positions on the negative electrode plate. Temperature values at different positions on the negative electrode plate are calculated based on the lithium intercalation reaction rate ratios at different positions on the negative electrode plate and the test environment temperature. An internal temperature distribution assessment result of the target battery cell is determined based on the temperature values at different positions on the negative electrode plate. Temperature gradients at different positions can be calculated by measuring the lithium content on a lithium-intercalated negative electrode plate, so that the internal temperature distribution assessment result of the battery cell can be obtained.

For effective monitoring of battery health, it is important that the temperature characteristics of the battery are monitored. However, in certain battery pack designs, the number of batteries in the stack can be high, so sensors for measurement will not be able to monitor all the batteries in the stack. Existing battery monitoring approaches fail to tackle this problem. The disclosure herein generally relates to battery monitoring, and, more particularly, to method and system of predicting temperature distribution in a battery pack. In this approach, the system calculates a lumped conductance value for a battery pack being monitored, and in turn uses the value of the lumped conductance to predict a temperature distribution value in the battery, which is indicative of health of the battery pack.

Provided are embodiments for method and system for performing an integrated ice protection with prognostics and health management using fiber optic sensors. Embodiments can include reading a signal from each sensor of an array of sensors installed on a surface of a structure or equipment, wherein each sensor is a fiber optic sensor, and generating a map based on reading the signal from each sensor, wherein the map monitors a condition of the surface detected by each sensor. Embodiments can also include determining at least one of an abnormal condition or a failure based at least in part on reading the signal from each sensor; and performing at least one of adjusting power control for the structure or equipment or communicating the abnormal condition or failure of the structure or equipment.

A method and device for water column profile measurement have the following features: • the method uses a measuring arrangement with a flying drone (10), a submersible cable (20) and a measuring probe (30) for measuring physical quantities, such that one end of the submersible cable (20) is connected to the flying drone (10) and another end of the submersible cable (20) is connected to the measuring probe (30), with the steps: • Flight of the drone (10) with the immersion cable (20) and the measuring probe (30) from a base station to at least one marine measuring position, • At each of the at least one marine measurement position, the following steps are carried out: ▪ Lowering the drone (10) and the associated lowering of the measuring probe (30) into the sea while recording measurement data with the measuring probe (30), ▪ Ascent of the drone (10) and the concomitant submersion of the measuring probe (30) in the sea with optional recording of measurement data with the measuring probe (30), • Return flight of the drone (10) with the immersion cable (20) and the measuring probe (30) to the base station and placing the measuring probe (30) on the base station. The measuring probe, submersible cable, and drone are reusable. The ocean is not polluted with debris. Measurements can be taken in shallow waters.

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.

Disclosed is an apparatus and method for determining water temperature at a random water depth using a seawater temperature vertical distribution stratum simulation model. The method for determining water temperature at a random water depth using a seawater temperature vertical distribution stratum simulation model includes generating a four-layer model for seawater temperature vertical distribution, setting a maximum water depth for each layer in the generated four-layer model, generating water temperature data at equal water depth intervals by processing ocean observation data, calculating a vertical gradient of water temperatures for water depths of each layer in the four-layer model by using the generated water temperature data at equal water depth intervals, calculating a water temperature at the maximum water depth of each layer by using the set maximum water depth of each layer and the calculated vertical gradient, and calculating a model water temperature at a random water depth by using the set maximum water depth of each layer, the calculated vertical gradient, and the water temperature at the maximum water depth of each layer.

To provide a method that obtains thermal properties of a contact region.SOLUTION: A method of the present application comprises: receiving temperature data on a sensor; obtaining a temperature distribution of heat penetration from the sensor into at least one material; applying a correction to the temperature distribution; iteratively analyzing the corrected temperature distribution; and outputting thermal properties of a contact region being a region between the sensor and the at least one material. The method of the present application may further comprise: obtaining thermal properties of at least one material; and obtaining a corrected thermal property of a material using the thermal property of the contact region. The method of the present application may further comprise automatically obtaining appropriate measurement duration for measuring properties of the at least one material to minimize effects of the contact region.SELECTED DRAWING: Figure 1

The purpose of the present invention is to provide a technique capable of improving the yield of processing.　One of the semiconductor device manufacturing systems of the present invention includes a semiconductor manufacturing apparatus and a wafer temperature calculation system. The semiconductor manufacturing apparatus is provided with: N heaters disposed in N zones disposed inside a stage in a processing chamber; and P temperature sensors disposed at predetermined measurement locations inside the stage. The wafer temperature calculation system has a storage apparatus that stores, for each of a plurality of temperature distribution conditions obtained in advance: a plurality of first correlation data that indicate correlation functions between operation states of the N heaters and temperatures at L locations on a wafer on the stage; and a plurality of second correlation data that indicate correlation functions between the operation states of the N heaters and temperatures at P locations measured by the P temperature sensors, and that are respectively paired with the plurality of first correlation data.

The invention provides a rechargeable battery system. The rechargeable battery system includes: a battery cell having a laminated case encapsulating an electrolyte and an electrode stack; the thermal sensing pad is embedded in the battery unit, the thermal sensing pad comprises a plurality of temperature sensors arranged at different positions in the battery unit, and each temperature sensor is packaged in an electrolyte-resistant material; the integrated circuit board is electrically connected with the thermal sensing pad; the integrated circuit board is configured to: (1) receive a sensing signal from the temperature sensor; (2) converting the sensing signal into digital temperature data; and (3) transmitting the digital temperature data to a battery management system. The battery management system is configured to analyze the digital temperature data to evaluate an internal temperature condition of the battery cell.

An example health condition assessment method for a medium / low voltage switchgear having temperature sensors at connection points between components of the switchgear, and a main conduction circuit includes: determining key connection points in the conduction circuit to serve as virtual temperature measurement points according to a main conduction circuit structure of the switchgear; establishing a temperature analysis model of the main conduction circuit according to the distribution of the measurement points; obtaining a current value, an environment temperature value, and temperature values of the main conduction circuit sensed by the temperature sensors, and putting them into the temperature analysis model to obtain temperature values or temperature-rise values of the measurement points in the circuit; and obtaining limit values of the virtual temperature measurement points in the main conduction circuit using the values to normalize the values, and assessing the health condition of the switchgear according to the values.

The present invention relates to a sensor 104 for measuring a temperature profile of a fluid within a vessel 106, the sensor 104 comprising an array of elements 300, each element 300 having a temperature-dependent parameter, the array being capable of deployment within or adjacent the vessel 106 such that the array extends along the vessel 106 for measuring the temperature profile, wherein the array comprises a substrate that can be cut to length to determine the number of elements 300 within the array. The invention further relates to a fluid temperature controller 100 comprising a first input for receiving a signal 102 from a sensor 104 as aforementioned and a processor 110 configured to calculate a total thermal energy of the fluid in the vessel 106 based on the signal, wherein the processor 110 is configured to operate in dependence upon the number of array elements 300 along the length of the sensor 104.

The present invention comprises a sensor array (100, 110, 120) comprising: at least one grid of nanogranular sensor elements (20) deposited on a substrate (10, 12, 14); and at least one grid of electrodes (30) electrically connected to the nanogranular sensor elements (20) to enable the measurement of conductivity changes of each individual nanogranular sensor element (20), and a corresponding manufacturing process.

The present invention relates to the technical field of thermal runaway management for lithium-ion batteries, and more particularly to a method for detecting and locating overheating in lithium-ion batteries or battery packs using temperature sensors. The temperature sensor is based on a shape memory alloy or bimetallic strips. The lithium-ion batteries or battery packs are equipped with these temperature sensors and arranged in a matrix configuration, enabling detection and localization of overheated batteries within the pack. This method addresses the challenge of identifying overheating in large-scale battery packs and energy storage power stations, thereby improving the efficiency of detection and localization. It also facilitates timely identification and precise location of batteries that may be undergoing thermal runaway.

A display method includes acquiring, as a first temperature, a measured temperature value at at least one temperature measurement position of a cable (40) at a first time, displaying the first temperature at the at least one temperature measurement position, and displaying, when a position at which a first condition is satisfied based on the first temperature exists among the at least one temperature measurement position, information in a first form as information for determining whether a state of the cable is abnormal at the position at which the first condition is satisfied, the information in the first form being displayed in correspondence with the position at which the first condition is satisfied within the display of the first temperature.

For effective monitoring of battery health, it is important that the temperature characteristics of the battery are monitored. However, in certain battery pack designs, the number of batteries in the stack can be high, so sensors for measurement will not be able to monitor all the batteries in the stack. Existing battery monitoring approaches fail to tackle this problem. The disclosure herein generally relates to battery monitoring, and, more particularly, to method and system of predicting temperature distribution in a battery pack. In this approach, the system calculates a lumped conductance value for a battery pack being monitored, and in turn uses the value of the lumped conductance to predict a temperature distribution value in the battery, which is indicative of health of the battery pack.

A thermal profiler includes a plate having a proximal end, and distal end, and a thickness and including a low thermal conductivity material and further including a plurality of elongated through holes configured for air to pass therethrough, the plate configured to be positioned in a horizontal orientation above heating elements of a heat processing system having a longitudinal conveyor system, and a plurality of thermal sensors positioned on the plate.

Embodiments described herein provide a thermal flux apparatus, forming a distributed temperature measurement system and comprising a plurality of temperature probe modules, each temperature probe modu