Abstract: Apparatus and methods for determining an atmospheric condition in an environment of a vehicle are described herein. A long wave infrared camera may be used to produce thermal image data from a field of view of the LWIR camera that includes an unknown atmospheric condition. The thermal image data may include a characteristic that may be compared to characteristic of thermal image data for a known atmospheric condition. A result of the comparison may be used to make a determination related to the unknown atmospheric condition which may be used in controlling the vehicle.

Abstract: The edge-cloud collaboration platform for intelligent coking monitoring of cracking furnace tubes includes an edge layer and a cloud layer, which can store and analyze big data, propose suggestions on optimization and improvement, and feed the suggestions back to the edge layer. The edge layer includes an intelligent temperature measuring device for an outer surface of a cracking furnace tube and/or an ethylene DCS/data acquisition device; the cloud layer includes a cracking furnace safety warning device, an intelligent coking diagnosis and prediction device for a cracking furnace tube, a hybrid job scheduling device, a multi-workflow scheduling device, a virtualized resource scheduling device, and a virtual resource optimization device; and the intelligent temperature measuring device for an outer surface of a cracking furnace tube includes an identification device for furnace tube and overlapped tube, and an abnormal data detection device.

Abstract: A thermal monitoring system includes thermal monitoring devices that generate sensor data including thermal images depicting monitored elements (e.g. of an electrical switchgear system). The sensor data for all monitoring devices installed at a local deployment is collected by a gateway device, and relevant data from multiple local deployments is further aggregated by a cloud management system for further analysis. New event triggering rules determining how the thermal monitoring devices filter or record the sensor data are generated based on the aggregated data during a continuous learning process. The system detects patterns in the sensor data for the monitoring devices and/or local deployments as a whole and tracks deviations from these patterns, improving the accuracy of the event detection over time.

Abstract: An industrial process monitor for monitoring an industrial process includes a controller configured to control operation of the industrial process monitor. An ambient environment sensor is configured to sense an ambient environment of the industrial process proximate the device and responsively provide a sensor output signal. Output circuitry is configured to provide an output based upon the sensor output signal. The controller causes the ambient environment sensor to enter a high power mode upon detection of an anomaly and/or probable anomaly in the sensor output signal.

Abstract: A method for identifying corrosion under insulation (CUI) in a structure comprises receiving thermographs from the structure using an infrared camera, applying filters to the thermograph using a first machine learning system, initially determining a CUI classification based on output from the filters, and validating the initial CUI classification by an inspection of the structure. The first machine learning system is trained using results of the validation. Outputs of the first machine learning system and additional structural and environmental data are fed into a second machine learning system that incorporates information from earlier states into current states. The second machine learning system is trained to identify CUI according to changes in the outputs of the first machine learning system and the additional data over time until a second threshold for CUI classification accuracy is reached. CUI is thereafter identified using the first and second machine learning systems in coordination.

Abstract: A sensor assembly includes a sensor window, a heatsink including a plurality of fins, and a duct. The heatsink is fixed relative to the sensor window. The duct is positioned to direct airflow between the fins and across the sensor window. The sensor assembly may include a motor and/or a circuit board fixed relative to the sensor window. The heatsink may be directly connected by a thermal conductor to the motor and/or the circuit board.

Abstract: Systems and methods to calibrate an imaging sensor may include an enclosure with a controlled environment, a light source illuminating the environment, and a particle source emitting desired particles at desired concentrations into the environment. An imaging sensor, which may be associated with an aerial vehicle, may be placed within the enclosure, and the imaging sensor may capture imaging data within the controlled environment. In addition, the imaging data may be processed to determine current spectral characteristics of the imaging sensor. Based on the environment, light, and particle properties within the environment, the imaging sensor may be calibrated to exhibit nominal or desired spectral characteristics.

Abstract: A method for identifying corrosion under insulation (CUI) in a structure comprises receiving thermographs from the structure using an infrared camera, applying filters to the thermograph using a first machine learning system, initially determining a CUI classification based on output from the filters, and validating the initial CUI classification by an inspection of the structure. The first machine learning system is trained using results of the validation. Outputs of the first machine learning system and additional structural and environmental data are fed into a second machine learning system that incorporates information from earlier states into current states. The second machine learning system is trained to identify CUI according to changes in the outputs of the first machine learning system and the additional data over time until a second threshold for CUI classification accuracy is reached. CUI is thereafter identified using the first and second machine learning systems in coordination.

Abstract: A method (300) for characterizing a lighting environment using thermal imaging includes the steps of: providing (310) a lighting unit (10) comprising a light source (12), a thermal imager (32), and a controller (22); obtaining (330), using the thermal imager, one or more thermal images of one or more surfaces (52) within the lighting environment; extracting (340), by the controller using the one or more thermal images, a thermal shadow (54) on one or more surfaces within the lighting environment; determining (360), from the thermal shadow, a depth queue for an object (52) associated with the thermal shadow; and characterizing (370), by the controller using the determined depth queue, the object.

Abstract: A system and method for inspecting a composite material structure for defects includes a) an inspection apparatus having a heating device for heating a surface of the structure, an infrared camera for receiving radiation from the surface in response to heating, a controller configured to generate thermal images from the infrared radiation, b) a training system includes an arrangement for obtaining thermal images from a known composite material sample including a plurality of heating elements positioned to apply heat to an entire surface of the sample, an infrared camera for capturing thermal images of the sample, and a processing system for recording the thermal images in a training database, and c) a computer system coupled to the training system and the inspection apparatus adapted to receive thermal images from the inspection apparatus and detect parameters of defects in the structure using the training database.

Abstract: A method for identifying corrosion under insulation (CUI) in a structure comprises receiving thermographs from the structure using an infrared camera, applying filters to the thermograph using a first machine learning system, initially determining a CUI classification based on output from the filters, and validating the initial CUI classification by an inspection of the structure. The first machine learning system is trained using results of the validation. Outputs of the first machine learning system and additional structural and environmental data are fed into a second machine learning system that incorporates information from earlier states into current states. The second machine learning system is trained to identify CUI according to changes in the outputs of the first machine learning system and the additional data over time until a second threshold for CUI classification accuracy is reached. CUI is thereafter identified using the first and second machine learning systems in coordination.

Abstract: Systems and methods for determining risk to operating a turbomachine are provided. According to one embodiment of the disclosure, a method may include receiving historical risk profile data associated with a fleet of turbomachines by at least one processor from a repository. The method can also include receiving ambient conditions of an environment in which a turbomachine is to be operated. Based at least in part on the historical risk profile data and in view of the ambient conditions, at least one risk threshold for at least one known operating profile can be developed. The method may continue with determining that the at least one risk threshold for the at least one known operating profile is reached. Based at least in part on a determination that the at least one risk threshold is reached, a mitigating action associated with the turbomachine can be taken.

Abstract: Embodiments relate to systems in which one or more infrared cameras or sensors are used to measure heat related to the wheels of carts, such as shopping carts. Wheels with bad bearings, that wobble, or that have other issues preventing normal operation tend to generate more heat than wheels that are in good working order, such that an infrared camera or sensor directed at wheel height (e.g., about 2-3 inches off the floor) can detect wheel issues by detecting heat emitted by the wheels.

Abstract: A hybrid detection apparatus including a detection device and a functional circuit is provided. The detection device is configured to execute a first detection function, so as to obtain first detection information. The functional circuit is suitable to be removably connected to the detection device. When the functional circuit is connected to the detection device, the detection device controls the functional circuit for performing a second detection function, so as to obtain second detection information. One of the first and the second detection functions is an image capturing function, and another one of the first and the second detection functions is a temperature detection function.

Abstract: An apparatus for measuring body core temperature includes a light guide with an internally reflective tube. The light guide is coupled to an earpiece, and has a lens or an aperture positioned at one of its ends. A sensor is positioned at the other end of the light guide, and a processor is coupled to the sensor. The sensor senses infrared radiation from an infrared source at the end of the light guide, and the processor determines a temperature of the infrared source at the end of the light guide via a transfer function that correlates a measure of the infrared radiation observed by the sensor and an effect of radiation of the light guide.

Abstract: Disclosed are exemplary embodiments of transient scanning data visualization methods and systems. Also disclosed are exemplary embodiments of embedded transient scanning systems and methods.

Abstract: A system includes a turbomachine having one or more inspection ports. An LWIR sensor is positioned in the inspection port of the turbomachine to sense thermal energy emitted by a turbomachine component. An imaging device can be operably connected to the LWIR sensor to convert signals from the LWIR sensor to a thermal image of the turbomachine component based on the sensed thermal energy. In some embodiments, the LWIR sensor configured to image a ceramic coated turbine blade.

Abstract: A method of detecting an air gap in a gypsum-based building board includes cooling a surface of a gypsum-based building board that has generated heat because of a hydration reaction of calcined gypsum by applying a cooling medium to the surface, and detecting a temperature distribution of the surface of the gypsum-based building board after completion of the cooling.

Abstract: A method for enabling easier interpretation and analysis of an observed real world scene by presenting a visible representation of infrared (IR) radiation information, based on IR radiation emitted from said real world scene, and additional information onto said observed real world scene, using thermography arrangement comprising an IR imaging system, a visible light imaging system and a visible light projecting system.

Abstract: The embodiments described herein generally relate to methods of noise compensation for proper temperature detection in thermal processing chambers and devices for achieving the same. Methods can include determining noise produced by a lamp zone and extrapolating the noise from the detected photocurrent. Devices can include a processing chamber, a substrate support disposed in the processing chamber, the substrate support having a high thermal mass, a pyrometer below the substrate support and oriented to view radiation emitted by the substrate and a controller configured to subtract a time invariant noise component and a time variant noise component from the pyrometer signal.

Abstract: Methods and apparatus for the detection of irregularities in a thin film by measurement of transient thermal response.

Abstract: An apparatus includes a carrier rotatable about an axis of rotation where the carrier has a top surface adapted to hold at least one semiconductor wafer and a surface characterization tool which is operative to move over a plurality of positions relative to the top surface of the carrier and/or the wafer transverse to the axis of rotation. The surface characterization tool is operative to move over a plurality of positions relative to the top surface of the carrier and/or the wafer transverse to the axis of rotation and is further adapted to produce characterization signals over the plurality of positions on at least a portion of the carrier and/or on at least a portion of said major surface of the wafer as the carrier rotates.

Abstract: An infrared detector includes a detecting element, a first electrode, a second electrode, and a covering structure. The detecting element defines an absorbing part and a non-absorbing part. The detecting element includes a first end and a second end opposite with the first end. The first end is disposed in the absorbing part. The second end is disposed in the non-absorbing part. The first electrode is electrically connected with the first end. The second electrode is electrically connected with the second end. The covering structure covers the non-absorbing part. The detecting element further includes a carbon nanotube layer. The carbon nanotube layer includes a plurality of carbon nanotubes disposed uniformly.

Abstract: Plant canopy temperature and multi-spectral reflectance are measured with a wireless multi-band sensor, and the temperature data are qualified and the spectral reflectance measurements are classified. The multi-band sensor includes sensors for measuring plant canopy temperature radiation and spectral reflectance over five bands, a microprocessor to receive and store measured data, and a wireless transmitter for transmitting data from the microprocessor to a remote receiver, all enclosed within a single housing. The data are used to detect variations in spectral signature due to plant stress (e.g., disease, water stress) and due to soil background and to qualify temperature data accordingly.

Abstract: A method for detecting defect in a weld seam during laser welding. The method includes performing a two-dimensionally locally resolved detection of radiation that is emitted by a solidified molten mass that is adjacent to a liquid melting bath. The method also includes determining at least one characteristic value for heat dissipation in the solidified molten mass by evaluating the detected radiation along at least one profile-section of the solidified molten mass, and detecting a defect in the weld seam by comparing the at least one characteristic value with at least one reference value.

Abstract: An improved system and method of measuring the temperature of a workpiece in a processing chamber is disclosed. Because silicon has very low emissivity in the infrared band, a coating is disposed on at least a portion of the workpiece. This coating may be graphite or any other material that can be readily applied, and has a relatively constant emissivity over temperature in the infrared spectrum. In one embodiment, a coating of graphite is applied to a portion of the workpiece, allowing the temperature of the workpiece to be measured by observing the temperature of the coating. This technique can be used to calibrate a processing chamber, validate operating conditions within the processing chamber, or to develop a manufacturing process.

Abstract: An improved system for evaluating one or more components of a vehicle is provided. The system includes a set of imaging devices configured to acquire image data based on infrared emissions of at least one vehicle component of the vehicle as it moves through a field of view of at least one of the set of imaging devices. An imaging device in the set of imaging devices can include a linear array of photoconductor infrared detectors and a thermoelectric cooler for maintaining an operating temperature of the linear array of detectors at a target operating temperature. The infrared emissions can be within at least one of: the mid-wavelength infrared (MWIR) radiation spectrum or the long wavelength infrared (LWIR) radiation spectrum.

Abstract: The present invention relates to an ultrasound imaging system (10) and method that allow for a quantitative analysis of the acquired images during acquisition and for an optimized workflow for image acquisition and analysis. The proposed ultrasound imaging system (10) comprises a transducer (12) configured to acquire ultrasound images (14) of an object based on one or more adjustable acquisition parameters, an analyzer (22) configured to analyze an ultrasound image (14) in real-time for a mean intensity value (24), and a processor (28) configured to determine in real-time when the mean intensity value (24) has reached a peak and to change the setting of at least one of the one or more adjustable acquisition parameters after a peak has been determined.

Abstract: A control unit sets a time interval for measuring a temperature of a liquid crystal panel as a first time interval (1 second), and thereafter measures the temperature of the liquid crystal panel each time the first time interval elapses. When the temperature of the liquid crystal panel is stabilized, the control unit sets a time interval for measuring the temperature of the liquid crystal panel as a second time interval (5 seconds). The control unit measures the temperature of the liquid crystal panel each time the second time interval elapses. Moreover, if an operation to change the amount of light reaching the liquid crystal panel is performed, the control unit restores the time interval for measuring the temperature of the liquid crystal panel to the first time interval.

Abstract: Temperature monitoring systems for data centers include a plurality of ceiling-mounted infrared sensor arrays. Each infrared sensor array includes a two-dimensional array of infrared emission sensors, and at least some of the infrared emission sensors have field of view patterns that project onto aisle faces of equipment racks that are mounted in rows in the data center. These systems may further include a controller that is remote from at least some of the infrared sensor arrays and that is in communications with the infrared sensor arrays, the controller configured to provide a two-dimensional thermal map of the aisle faces of the equipment racks based at least in part on temperature data received from the infrared sensor arrays.

Abstract: The method and apparatus to automatically inspect or pre-screen the Equipment of passing CMVs employs the novel application of acquiring, processing and analyzing the temperature data from areas of interest on passing wheels using a computer based imaging system to improve the efficiency of current CMV inspecting and/or pre-screening manual methods that require an inspection system operator. The inspection system includes a triggering device, thermographic camera(s), computer based image acquisition hardware, image processing and analysis software, user interface and operator workspace (herein referred to as the “Inspection System”). The components of the apparatus are not limited to the list above nor are all components required to embody the method for inspection or pre-screening of equipment of passing CMVs. The method is a means of collecting the thermal information of the Equipment as it passes through an Inspection Area and analyzing it to determine or estimate its condition or fitness.

Abstract: A non-touch thermometer that senses temperature from a digital infrared sensor is described. A digital signal representing a temperature without conversion from analog is transmitted from the digital infrared sensor received by a microprocessor and converted to body core temperature by the microprocessor.

Abstract: A product critical temperature during freeze drying is determined. The product is imaged using optical coherence tomography (“OCT”). The product is freeze dried while the temperature of the product is measured. The product critical temperature is the temperature at which a product structure event occurs during freeze drying.

Abstract: A graphical user interface for analyzing thermal images is provided. The interface can be used to identify the temperatures at multiple areas of interest defined on an image. The areas can be denoted by configurable markers of different predetermined shapes. In some embodiments, the interface simultaneously displays temperature statistics relating to the user-identified areas of interest.

Abstract: A combination fire detection and fire suppression system may include a fire detection system configured to detect an undesirably high temperature associated with an area. The fire detection system may include a temperature sensor including a temperature sensor array and a fire alerting system associated with the temperature sensor. The fire alerting system may be configured to receive information from the temperature sensor and generate a warning signal based on an undesirably high temperature associated with the area. The fire detection system may include a fire control panel configured to receive the warning signal. The system may also include a fire suppression system including a fire suppressant delivery system configured to provide at least one fire suppressant agent to the area associated with the undesirably high temperature.

Abstract: A method for monitoring a temperature of a survey surface in a room. The method includes: providing a number of temperature sensors coupled to the survey surface; receiving from the number of temperature sensors respective temperature values; applying an extrapolation model to the received temperature values and extrapolating an extrapolated thermographic scan of the survey surface; and monitoring the temperature of the survey surface on the basis of the extrapolated thermographic scan.

Abstract: The invention provides a method for a non-destructive, non-contacting and image forming examination of a sample by means of the heat flow thermography method where the examination consists of evaluating an existence and/or depth distance values of any heat flow velocity transitions below a surface of the sample, wherein the sample is excited by heat pulses of at least one excitation source, and a thermal flow originating therefrom is captured by at least one infrared sensor in an image sequence of thermal images, and wherein the thermal images obtained from the image sequence are evaluated by means of a signal and image processing and depicting a thermal flow with a resolution in time and in space.

Abstract: There is provided an optical fiber temperature distribution measuring device which measures a temperature distribution along an optical fiber (3) using backward Raman scattering light generated in the optical fiber. The device includes: a reference temperature thermometer (11) disposed in the vicinity of the optical fiber so as to measure a reference temperature (T1, T2) of the optical fiber; an arithmetic controller (7) that calculates a temperature (T) of the optical fiber based on the backward Raman scattering light; and a temperature corrector (12) that corrects the calculated temperature (T) based on a correction formula containing the reference temperature as a parameter.

Abstract: A portable thermal imaging system includes a portable housing configured to be carried by a user, a bolometer sensor assembly supported by the housing and including an array of thermal sensor elements and at least one plasmonic lens, a memory including program instructions, and a processor operably connected to the memory and to the sensor, and configured to execute the program instructions to obtain signals from each of a selected set of thermal sensor elements of the array of thermal sensor elements, assign each of the obtained signals with a respective color data associated with a temperature of a sensed object, and render the color data.

Abstract: This invention provides an apparatus for nondestructive residential inspection and various methods for using a thermal imaging apparatus coupled to inspect exterior residential components, interior residential component, for mold. More specifically, this invention provided a computerized method to facilitate inspecting a residential building.

Abstract: An optical fiber is provided with a first measurement portion and a second measurement portion provided with covering layers different at least in any one of heat capacity and heat conductivity. Then, the first measurement portion and the second measurement portion are located in the same measurement position and light is inputted from a temperature measurement device into the optical fiber. Thereafter, the temperature measurement device receives backscattered light generated inside the optical fiber to measure temperature distribution in a longitudinal direction of the optical fiber. An analyzer analyzes a variation over time of the temperature distribution outputted from the temperature measurement device to calculate a temperature and a wind velocity in a measurement position where the first measurement portion and the second measurement portion are located.

Abstract: Methods for detection of heat-related symptoms can include use of a thermal sensor to obtain thermal data. Subsets of the thermal data can correspond with multiple subjects. The subsets can be compared to determine whether any of the subjects is a thermal outlier relative to the remaining subjects.

Abstract: An apparatus determines cooling characteristics of an operational cooling device used for transferring heat from an electronic device. The operational cooling device is thermally coupled to a heat pipe. The heat pipe has an exposed surface for selective application of heat thereon. Heat from a localized heat source is selectively applied to at least one region of the exposed surface. The heat source is preferably capable of being varied both positionally relative to the exposed surface and in heat intensity. A heat shield is preferably positioned around the exposed surface of the heat pipe to isolate the operational cooling device from the heat from the localized heat source. A temperature detector repeatedly measures a temperature distribution across the exposed surface while the cooling device is in a heat transfer mode. The temperature distribution is then used to thermally characterize the operational cooling device.

Abstract: A sensor device formed on a semiconductor substrate. The device comprises a thermal radiation sensor including a sensing cell and a referencing cell which are co-operable for providing a first output signal indicative of the temperature fluctuation resulting from incident radiation. A gradient sensor including a pair of cells spatially located on the semiconductor substrate is provided which are co-operable to provide a second output signal indicative of the temperature gradient across the semiconductor substrate for facilitating calibrating the first output signal. At least one of the cells of the gradient sensor is not common to the cells of the thermal radiation sensor.

Abstract: An automatic and continuous method is presented to improve the accuracy of fiber optic distributed temperature measurements derived from Raman back scatterings utilizing two light sources with different wavelengths, by choosing the wavelengths of the two sources so the primary source's return anti-Stokes component overlaps with the incident wavelength of the secondary light source thereby canceling out the non-identical attenuations generated by the wavelength differences between Stokes and anti-Stokes bands.

Abstract: A test specimen having a to-be-photographed surface and an attachment surface which is a back side thereof is produced, and attached to a structure. An artificial abnormal portion is provided between a to-be-inspected surface of the structure and the to-be-photographed surface of the test specimen. The to-be-photographed surface of the test specimen is photographed by the infrared camera. When a surface temperature difference between the abnormal and the sound portions increases to a certain level on the to-be-photographed surface, it is capable of discriminating between the abnormal and the sound portions by an infrared thermal image of the test specimen. In a time zone in which discriminating between the abnormal and the sound portions is capable, the to-be-inspected surface of the structure is photographed by the infrared camera. If there is a damage in the surface layer of the structure, a damaged position can be discriminated by an infrared thermal image.

Abstract: A device for analyzing a beam profile of a laser beam includes a carrier plate, a plurality of first temperature-sensitive measuring elements, in particular diodes, which are arranged in a preferably matrix-like arrangement on a first side of the carrier plate at a plurality of measuring locations, and a plurality of second temperature-sensitive measuring elements, in particular diodes, which are arranged in another preferably matrix-like arrangement on a second side of the carrier plate. One of the first measuring elements is arranged in each case opposite one of the second measuring elements and is thermally coupled to the first measuring element using strip conductors which extend through the carrier plate. Such a device can be included in a laser processing machine and used in an associated method for analyzing a beam profile of a laser beam.

Abstract: A system includes a radiation detector array directed toward a fluid flow into a compressor. The radiation detector array is configured to output a signal indicative of a two-dimensional temperature profile of the fluid flow. The system also includes a controller communicatively coupled to the radiation detector array. The controller is configured to detect a temperature variation across the fluid flow based on the signal.

Abstract: The invention concerns a method for the indirect determination of local irradiance in an optical system; wherein the optical system comprises optical elements between which an illuminated beam path is formed and a measurement object which absorbs the radiation in the beam path at least partially is positioned in a partial region of the beam path selected for the locally-resolved determination of the irradiance and the temperature distribution of at least one part of the measurement object is determined by means of a temperature detector.

Abstract: A method for processing thermographic data is disclosed including thermally disturbing a specimen of unknown quality, collecting thermal data from said specimen, converting the collected data into a measure of variance and comparing the variance from the sample of unknown quality against the variance of a sample of known quality in order to determine if the quality of the specimen of unknown quality is acceptable.