379results about "Pyrometry for temperature profile" patented technology

A temperature measurement apparatus for measuring a temperature profile of a substrate mounted on a rotating table, including a radiation temperature measurement unit configured to measure the temperature of plural temperature measurement areas on a surface of the rotating table in a radius direction of the rotating table by scanning the surface of the rotating table in the radius direction; a temperature map generating unit that specifies the address of the temperature measurement area based on the number of the temperature measurement areas measured by the radiation temperature measurement unit for each of the scanning operations in the radius direction of the rotating table, and the rotating speed of the rotating table, and stores the temperature in correspondence with the corresponding address in a storing unit; and a temperature data display processing unit that displays a temperature profile of the rotating table.

Apparatus and methods for passively and remotely and continuously locating, monitoring, and measuring present weather and nowcasting and forecasting weather and meteorological phenomena and parameters by utilizing observations of infrared emissions and reflections are disclosed. Based on observations of an instrument such as an infrared noncontact thermometer, the methods provide useful information on the presence of aerosol, dust, cloud, and precipitation for the purpose of determining present weather, weather tracking, weather nowcasting, and weather forecasting as well as other weather phenomena. One embodiment of this invention is an infrared sensor pointed vertically and reflected from a suitable mirror rotating about a vertical axis such that the field of view of the sensor scans azimuthally at an elevated angle above the horizon.

The present invention is directed to a camera, computer program, and method for determining and displaying temperature rates of change for objects within the camera's field of view. More specifically, the embodiments provide for the continuous, real-time temperature measurement and display of a plurality of objects within the camera's field of view, and further for the real-time processing and display of the temperature rates of change for said objects.

A non-destructive approach for the 3D localization of buried hot spots in electronic device architectures by use of Lock-in Thermography (LIT). The 3D analysis is based on the principles of thermal wave propagation through different material layers and the resulting phase shift/thermal time delay. With more complex multi level stacked die architectures it is necessary to acquire multiple LIT results at different excitation frequencies for precise hot spot depth localization. Additionally, the use of multiple time-resolved thermal waveforms, measured in a minimized field of view on top of the hot spot location, can be used to speed up the data acquisition. The shape of the resulting waveforms can be analyzed to further increase the detection accuracy and confidence level.

A thermographic route examination system includes a thermographic camera, a computer readable memory device, and an analysis processing unit. The thermographic camera is coupled with a vehicle that travels along a route and senses infrared radiation emitted from the route to generate a thermal signature representative of the route. The computer readable memory device stores healthy thermal signatures representative of temperatures of at least one segment of the route that is not damaged. The analysis processing unit receives the thermal signature from the thermographic camera and to determine if the one or more segments of the route are damaged segments of the route based on the thermal signature by comparing the thermal signature of the one or more segments of the route with the one or more healthy thermal signatures to determine if the one or more segments of the route are the damaged segments of the route.

A monitoring system at least includes a measuring device that measures a temperature distribution based on infrared light and a monitoring device that measures image information based on visible light, in which the monitoring device includes an acquisition unit that acquires attribute information of a monitored target extracted based on the image information and fever information of the monitored target from the temperature distribution in a time series and an analysis unit that analyzes the attribute information and a change of the fever information and predicts a transition of the fever information based on the analysis result.

The invention provides an on-site sensing intelligent helmet, on-site sensing method, device and storage medium. The helmet is provided with an infrared imager and intelligent glasses which are in communication connection, the infrared imager senses electrical equipment to obtain infrared sensing data and generates infrared imaging and temperature field data of the electrical equipment, the intelligent glasses generate corresponding visible light and infrared superposed image and temperature field image according to the infrared imaging and temperature field data, obtain associated electrical equipment associated information directing at an original image of the electrical equipment from a monitoring background in communication connection, and combine the electrical equipment associated information to the original image to generate an augmented reality image of the electrical equipment, and the augmented reality image together with the infrared image and the temperature field image is displayed on the intelligent glasses. The intelligent helmet is utilized to realize tour inspection, hands of tour inspection personnel are liberated, fusion of an infrared thermal imaging function and an augmented reality function is realized, referable associated information amount of the electrical equipment is increased, and tour inspection efficiency is effectively improved.

The invention discloses an online monitoring device for ablation structure morphology and products and a monitoring method of the online monitoring device. According to the online monitoring device, an X-ray emitting/receiving device is adopted to acquire a micro structure image of a test part; a high resolution CCD (Charge Coupled Device) camera is adopted to acquire a surface morphology image ofthe test part; an infrared thermometer together with a red light channel and a green light channel of the CCD camera is adopted to acquire temperature distribution of a whole field; a high spectrum camera is adopted to acquire a spectrum image of the test part; a control and image processing unit is adopted to acquire evolution situations of micro structures of the test part in the ablation process, ablation liquid droplet generation flowing and fusion situations, and real-time precise monitoring on ablation product components and distribution, whole-field temperature distribution on the surface of an object is synchronously acquired, and influence of thermal radiation to spectrum information is eliminated. By adopting the technique, analysis on the relationships among ablation micro structures, surface liquid droplets, ablation temperatures and ablation products is achieved.

The invention provides a sea surface parameter synchronous inversion optimization method which includes the steps: 1) acquiring multi-incident-angle radiation brightness temperature observation valuesand multi-incident-angle backscattering coefficient observation values; 2) performing median filtering, adaptive median filtering and Wiener filtering on the multi-incident-angle radiation brightnesstemperature observation values to obtain three-type radiation brightness temperature observation values after noise reduction; 3) acquiring multi-incident-angle radiation brightness temperature simulation values by a forward radiation brightness temperature theoretical model, and acquiring multi-incident-angle backscattering coefficient simulation values by a backscattering coefficient theoretical model; 4) substituting the three-type radiation brightness temperature observation values, the radiation brightness temperature simulation values, the backscattering coefficient observation values and the backscattering coefficient simulation values into an L/C/K waveband multi-priced function to synchronously obtain three-type sea surface parameters; 5) comparing the three-type sea surface parameters with float measurement sea surface parameters, calculating inversion root-mean-square errors and selecting sea surface parameter values corresponding to the minimum root-mean-square error as final sea surface parameter values.

A polishing method and a polishing apparatus which can increase a polishing rate and can control a polishing profile of a substrate being polished by adjusting a surface temperature of a polishing pad are disclosed. The polishing method for polishing a substrate by pressing the substrate against a polishing pad on a polishing table includes a pad temperature adjustment step of adjusting a surface temperature of the polishing pad, and a polishing step of polishing the substrate by pressing the substrate against the polishing pad having the adjusted surface temperature. In the pad temperature adjustment step, the surface temperature of a part of an area of the polishing pad, the area being to be brought in contact with the substrate, is adjusted during the polishing step so that the rate of temperature change of a temperature profile in a radial direction of the surface of the polishing pad becomes constant in the radial direction of the polishing pad.

The invention discloses a photovoltaic power station hot spot detection and positioning method based on a thermal infrared image. Pictures shot by a thermal imager carried by an unmanned aerial vehicle are infrared pictures, the resolution ratio is very low, the form of hot spots is usually very small, the accuracy of hot spot recognition is very low, and accurate positioning is difficult. Aimingat hot spot identification, the invention provides a UAV-YOLO model, a neural network residual error unit is added for fusion, characteristics of a front network are utilized to a greater extent, andhot spot characteristics of a far visual angle are learned; a YOLOv3 backbone network architecture is improved, and more hot spot appearance feature information can be learned in a front-end network.Aiming at hot spot positioning, the invention provides a geometric positioning algorithm, and the longitude and latitude of a hot spot are calculated through the longitude and latitude of an image center point, a yaw angle, the shooting height of an unmanned aerial vehicle and other information. According to the invention, the hot spot positioning precision is improved on the premise of ensuring the hot spot identification accuracy.

The invention discloses a non-contact human body temperature measurement method, device and system, and a storage medium. The method comprises the following steps that: obtaining a face image; obtaining a thermal imaging diagram which has the same window with the face image; and correspondingly matching and blending the face image with a temperature distribution diagram to obtain a blending image,wherein the blending image comprises the temperature distribution of a point of which the temperature is to be tested, and the highest temperature in the point of which the temperature is to be tested is a human body temperature. The device comprises a face image module, a thermal imaging diagram module and a blending module, wherein the face image module is used for obtaining the face image, andthe thermal imaging diagram module is used for obtaining the thermal imaging diagram. The system comprises a camera, a thermal imaging camera and a processor, wherein the camera outputs the obtainedface image to the processor, the thermal imaging camera outputs the obtained thermal imaging diagram to the processor, and the storage module is used for storing a computer program. The non-contact human body temperature measurement method, device and system, and the storage medium provided by the invention do not need a manual operation, and can automatically measure the body temperature.

The invention discloses a flame three-dimensional temperature field measurement system and a flame three-dimensional temperature field measurement method based on an optical field layered imaging technology. The flame three-dimensional temperature field measurement system comprises a precise optical platform, a sliding rail, an optical field camera and a computer, wherein the optical field camera is used for acquiring four-dimensional optical field information of flame; and the computer is used for storing information and carrying out calculation and analysis. The flame three-dimensional temperature field measurement system and the flame three-dimensional temperature field measurement method acquire three-dimensional flame optical field information by means of the optical field camera, and carries out digital refocusing treatment and image deconvolution treatment to obtain a flame radiation intensity value on each layer, thereby acquiring temperature field of the flame. The flame three-dimensional temperature field measurement system can acquire information of each focusing plane through one-step shooting without zooming or changing a position of the camera, and can realize high-time-precision optical non-contact type measurement of the ever-changing flame.

An infrared spectrum diagnosis method for an operating state of electrical equipment in a power system comprises the following steps of determining the contour and position of the electrical equipmentin an infrared image by using the image recognition technology, and obtaining the highest temperature of the equipment through infrared image recognition; constructing a solid model of the electricalequipment through thermodynamic simulation, obtaining the temperature distribution of the electrical equipment operating under different electrical and meteorological conditions by a finite element analysis method, and taking the simulated temperature as a sample to train the neural network; predicting the maximum temperature of the electrical equipment under different operation conditions with the trained neural network, and comparing the obtained maximum temperature with the maximum temperature obtained by infrared image recognition, thereby realizing the diagnosis of the operating state ofthe equipment. The infrared spectrum diagnosis method, by evaluating the operating state of the high-voltage electrical equipment under the condition that a plurality of external conditions affectingthe operation of the equipment are fully considered, greatly improves the accuracy of the evaluation result, and provides a reliable basis for the maintenance and maintenance of the high-voltage equipment.

The invention discloses a sintered ore FeO content detection method and a sintered ore FeO content detection system. The method comprises: obtaining a thermal image; extracting a key frame image in combination with a dust change rule at the tail portion of a sintering machine; according to the key frame image, extracting an interested infrared thermal image by utilizing the geometrical characteristics of a trolley at the tail portion of the sintering machine so as to obtain a sintered ore cross section infrared thermal image; based on the sintered ore cross section infrared thermal image, extracting the shallow characteristics and the deep characteristics for describing the quality of the sintered ore; establishing a sintering process multiphase thermodynamic model based on Gibbs free energy theorem; according to the multiphase thermodynamic model, obtaining the FeO content classification characteristics of the sintered ore at the highest temperature, and establishing a FeO content prediction model based on multiple heterogeneous characteristics; and real-timely and onlinely predicting the FeO content of the sintered ore by utilizing the shallow characteristics, the deep characteristics and the FeO content classification characteristics. By adopting the technical scheme, the technical problem that the FeO content of the sintered ore cannot be accurately detected in real time inthe prior art is solved, the FeO content can be accurately detected in real time, and the method has the characteristics of high precision and strong interpretability.

The invention provides a method for monitoring the dynamic change of the urban heat island intensity. According to the method, a processing and analysis technology of a thermal infrared remote sensingimage and a high-resolution remote sensing image is utilized, a qualitative or quantitative relation among the change of the heat island intensity of a target area, the land coverage change and the landscape indexes is obtained through multi-data image processing and change analysis, so that the understanding on the aspects such as the change of the heat island intensity pattern caused by land utilization transformation in the processes of urban construction, transformation and renovation can be conveniently studied, and a reference is provided for implementation of the policy.

The invention discloses a device capable of measuring a high-speed rotating dynamic seal wear characteristic. The device comprises a rotation simulation device, an intrusion simulation device, a stress measurement device, a temperature measurement device and a computer. A high-speed servo motor is used for driving a turntable, the rotating speed range of the turntable is 300-16000r/min, and various high-rotating-speed working conditions of dynamic seal in an aero-engine can be simulated; and a high-precision stepping motor and a screw rod are used, different intrusion speeds and intrusion amounts can be simulated, and a rotor surface and a wear test piece can be economically and conveniently replaced. Therefore, the device can be widely applied to wear characteristic experiments of different dynamic sealing structures. The device is mainly composed of the rotation simulation device, the intrusion simulation device, the stress measurement device and the temperature measurement device; athermal infrared imager and a resistance strain gauge can be used to measure the temperature, the contact pressure and the contact friction force in the colliding and wearing process of sealing teethand a rotor at the same time, the colliding and wearing process can be analyzed more concretely, and the wearing deformation mechanism is studied more deeply.

The invention discloses a temperature field measurement system and method based on a single camera, and the system comprises a measurement device and a computing device. The measurement device comprises an entrance window, a plate beam splitter, a first reflector group, a second reflector group, a narrow band filter group and a camera. The computing device comprises a temperature reservation module, an image receiving module, a matching module and a temperature calculation module. During measurement, the measurement window is aligned with a to-be-tested object, and the light is split into a first beam and a second beam after entering the plate beam splitter through the entrance window, wherein the first and second beams are reflected by the first and second mirror reflector groups into thecamera, so that two images exist in an image captured by the camera, and thus the temperature field of the to-be-tested object can be calculated by a colorimetric temperature measurement formula. Thesystem can capture the image with two target images through only one camera, and is suitable for the measurement of an ultra-high temperature field and a high-speed temperature field, and is high inmeasurement precision.

The invention discloses a flame three-dimensional temperature distribution reconstruction method based on bi-spectral radiation information. The flame three-dimensional temperature distribution reconstruction method is characterized by comprising the following steps: 1) dividing a flame microelement according to acquired flame bi-spectral radiation information and establishing a flame radiation transfer equation; 2) setting a target function, iteratively updating a flame absorption coefficient according to a reconstruction algorithm and reconstructing a flame three-dimensional temperature field. The flame three-dimensional temperature distribution reconstruction method based on the bi-spectral radiation information, disclosed by the invention, has the benefits that in the iterative solution process of the algorithm, a non-negative least squares algorithm is used, so that the non-negativity of the spectral radiation intensity of each of parts of flame can be guaranteed; the absorption coefficient of each of the parts of the updated flame is also mapped to a set interval, so that the non-negativity of the absorption coefficient is guaranteed; the algorithm has stronger robustness, isindependent of an initial value and can still maintain higher accuracy and better convergence under the situations that inputted data is larger in error, and a random numerical value is set without providing a priori iterative initial value.

The invention relates to a body temperature measuring method based on infrared image face detection. The body temperature measuring method comprises: obtaining an infrared image and a temperature distribution diagram through an infrared temperature measuring camera; performing face analysis based on the infrared image to obtain a face area; based on the temperature distribution diagram, performingtemperature analysis, and determining a body temperature area; calibrating the face region according to the body temperature region, and determining a region of interest; and calculating the averagetemperature of the region of interest according to a preset algorithm. Remote portable body temperature measurement can be realized, the face area of the measured human body is accurately positioned through face analysis of the infrared image, the face area is calibrated in combination with the temperature distribution diagram, and the method has the advantages of high measurement accuracy and lowomission ratio.

The invention provides a method for detecting the compaction quality of an asphalt pavement based on a thermal infrared imager, comprising the following steps: using a thermal infrared imager to obtain the temperature of asphalt mixture in multiple target areas of an asphalt pavement during rolling compaction; obtaining the temperature segregation condition of the asphalt mixture in the multiple target areas of the asphalt pavement according to the obtained temperature data of the asphalt mixture on the asphalt pavement during rolling compaction; judging the temperature segregation areas and normal-temperature areas of the asphalt pavement according to the temperature segregation condition; obtaining the compaction degree and porosity corresponding to the temperature segregation areas andnormal-temperature areas of the asphalt pavement through pavement core sampling; and establishing a linear relationship between the rolling temperature of the asphalt mixture during rolling compactionand the compaction degree and porosity. By using the method, the temperature segregation condition of the asphalt mixture during construction can be detected, and measures for reducing the temperature segregation of the mixture can be obtained through analysis according to the temperature segregation condition detected.