101 results about "Thermography technique" patented technology

An approach to noninvasively, remotely and accurately detect core body temperature in a warm-blooded subject, human or animal, via thermal imaging. Preferred features such as the use of in-frame temperature references, specific anatomical target regions and a physiological heat transfer model help the present invention to overcome pitfalls inherent with existing thermal imaging techniques applied to physiological screening applications. This invention provides the ability to noninvasively, remotely and rapidly screen for diseases or conditions that are characterized by changes in core body temperature. One human application of this invention is the remote screening for severe acute respiratory syndrome (SARS), since fever is a common, early symptom. Other diseases and conditions that affect the core body temperature of humans or animals may also be noninvasively and remotely detected with this invention.

The invention discloses a system for intelligently controlling an indoor environment based on thermal imaging technology, which comprises a thermal imaging sensor, a human-computer interaction interface device and an area controller, wherein the thermal imaging sensor acquires thermal imaging data of the indoor environment and identifies and analyzes the thermal imaging data so as to calculate a subjective radiation temperature; and the area controller adjusts the refrigerating and heating capacities at the tail end of an indoor air conditioner according to the subjective radiation temperature and the temperature set by the human-computer interaction interface device so as to perform optimized control on the indoor environment to achieve a temperature comfortable for indoor personnel. The system and a method for intelligently controlling the indoor environment based on the thermal imaging technology can adjust the temperature of the indoor environment, improve the personnel comfort level and work efficiency, reduce the energy consumption and improve the management level of an automatic control system of a building under the condition of acquiring comprehensive environment and personnel information.

A method and system for monitoring the health and growth of plants in a field. The method and system acquire a thermal image indicative of thermal energy emitted by the plants and process the thermal image to assess variations in the temperatures among the plants.

A method and apparatus are provided to acquire direct thermal measurements, for example, from a LiDAR collecting vehicle or air vessel, of an overhead electrical conductor substantially simultaneous with collection of 3-dimensional location data of the conductor, and utilize temperature information derived from the direct thermal measurements in line modeling, line rating, thermal line analysis, clearance analysis, and / or vegetation management.

The present invention relates to processes and systems for locating coated cooling holes on parts such as turbine vanes. In a first embodiment of the present invention, a thermal imaging technique is utilized to obtain the locations of the cooling holes on a turbine vane. In a second embodiment of the present invention, a laser scanning technique is utilized to obtain the locations of the cooling holes on a turbine vane.

A method for identifying types of flaws in a composite object includes: a) rapidly heating the surface of the object; b) recording pixel intensities in a sequence of IR images; c) determining temperature-versus-time data for each of the pixels from the IR images; and d) determining what type of flaw if any corresponds to each of the pixels using the temperature-versus-time data determined in step (c). A contrast curve derived from the temperature-versus-time data may be used in determining what type of flaws if any corresponds to each of the pixels. The contrast curve may be determined by subtracting a synthetic reference curve from a temperature time curve from the temperature-versus-time data. The types of flaws may be determined from size and / or shapes of peaks in the contrast curves. Some flaws are delaminations, layers of porosity, and uniformly distributed porosity.

The invention relates to a burning and explosion accident sensing and risk predicting early-warning intelligent fire fighting helmet implementing method. A fire fighting helmet, a long-distance combustible gas detector, a thermal imaging camera module, a head-mounted near-eye display module, a positioning instrument, a data communication and transmission module, an embedded core board, an earphone, a base station, and a fire fighting command centre are involved. According to the burning and explosion accident sensing and risk predicting early-warning intelligent fire fighting helmet implementing method, the real-time position of a fireman in a building can be displayed for the fireman by combining a fireman positioning technology, a building information model and real scene thermal image information, and projecting and displaying information through the head-mounted near-eye display module, so that the environment burning and explosion dangerousness and risk thereof are predicted in real time. When the fireman enters an unknown environmental place, a potential fire disaster explosion accident risk can be effectively predicted quickly; quick sensing and information communication ofthe fireman to a fire disaster accident scene can be realized through an advanced video and thermal imaging technology and an indoor positioning and communication transmission technology, so that thefire fighting rescuing scientific level and the capacity of the fireman are improved.

The invention discloses a photovoltaic panel fault positioning method based on an unmanned aerial vehicle (UAV) and a thermal imaging technology. The method includes the following steps: adopting a thermal imaging camera carried by a multi-rotor UAV to obtain an infrared image of a photovoltaic panel in the air, and adopting an onboard processor to process the infrared image and judge whether theinfrared image has a hot spot fault; calculating an optimal inspection path of the UAV, and ensuring that the UAV is on a planned inspection path by correcting the location during the flight; acquiring the real-time location of the UAV through onboard positioning equipment, and when the fault is found, combining the location of the UAV (latitude and longitude information) and the location of the fault in the image to position the fault location, and storing and uploading relevant information; and implementing precise spot landing and automatic charging of the UAV through a ground marker, and further achieving the automation of the whole process. According to the photovoltaic panel fault positioning method disclosed by the invention, the fault detection and positioning of the photovoltaic panel can be performed intelligently and efficiently, and the purpose of operation and maintenance of a photovoltaic power station can be achieved.

Mid-infrared photothermal heterodyne imaging (MIR-PHI) techniques described herein overcome the diffraction limit of traditional MIR imaging and uses visible photodiodes as detectors. MIR-PHI experiments are shown that achieve high sensitivity, sub-diffraction limit spatial resolution, and high acquisition speed. Sensitive, affordable, and widely applicable, photothermal imaging techniques described herein can serve as a useful imaging tool for biological systems and other submicron-scale applications.

The invention relates to a building thermal performance detection method based on a three-dimensional infrared thermal imaging technique, and aims to solve the problem that a method for detecting andevaluating an overall building enclosure structure thermal performance by combining a thermal infrared imager and a three-dimensional scanner is absent at the present stage. The method includes the steps: shooting station determination; shooting area dividing and shooting; infrared image splicing and temperature interval dividing; three-dimensional point cloud data processing and modeling; three-dimensional infrared imaging superposition; thermal performance calculation; man-machine interaction; analysis evaluation. According to the method, a three-dimensional laser scanner and an infrared camera are combined to detect a building enclosure structure, a defect location can be accurately determined, or information of the defect location can be accurately acquired, and the shortcoming of a traditional infrared detection technique is overcome.

The invention discloses a crystallizer bleed-out visual forecasting method based on machine vision and belongs to the technical field of steel metallurgical continuous casting detection. A thermocouple temperature signal of a copper plate of a crystallizer is detected on line; the temperature and a change rate of the temperature of the copper plate of the crystallizer are visually displayed by adopting a thermal imaging technology; and according to a machine vision theory, an abnormal temperature region is searched, and important information such as a geometric position, temperature change and temperature transmission of the abnormal region are extracted, so that a bleed-out sign is identified, and bleed-out of the crystallizer can be judged and forecast. The crystallizer bleed-out visual forecasting method comprises the following steps that: visualizing the temperature and the change rate of the temperature of the copper plate of the crystallizer; partitioning and marking a threshold value of the abnormal temperature region; extracting feature information of the abnormal temperature region; and identifying and judging a bleed-out temperature mode. The crystallizer bleed-out visual forecasting method has the advantages that visualization and a machine vision technology are organically combined, so that the temperature distribution and the abnormity change and development tendency of the crystallizer are derectly displayed; bleed-out of the crystallizer can be intuitively displayed and accurately identified by extracting features such as geometric position, temperature change and temperature transmission of the abnormal region; and the forecast accuracy can be effectively improved.

The invention discloses a steel leakage visualized characteristic forecasting method based on an improved neural network and belongs to the technical field of steel metallurgy continuous casting detection. The steel leakage visualized characteristic forecasting method specifically comprises the steps that a thermocouple temperature signal of a crystallizer copper plate is online detected, the temperature change rate of the crystallizer copper plate is visually presented through a thermal imaging technology; on the basis of searching and extracting of the area, temperature change, position, transmission rate and other characteristics of a temperature anomaly area, a back-propagation (BP) neural network steel leakage forecasting model is established; in addition, by virtue of the self-organization and self-adaptability of a genetic algorithm, the power value and threshold value of the model are optimized, so that crystallizer steel leakage visualized online detection and forecasting are achieved. According to the steel leakage visualized characteristic forecasting method, not only are the distribution, anomalous change and development trend of the crystallizer temperature visually presented, but also a crystallizer steel leakage accident can be prevented in real time accurately, so that the false alarm times are reduced, and the accuracy rate of a steel leakage forecasting system is improved.

Automated inspection system and method are provided for nondestructive inspection and evaluation of an electrically-conductive workpiece based on induction thermography. A movable carriage (15) may be arranged to translate the workpiece in an inspection location (18). An induction coil 20 is disposed at the inspection location. The induction coil is responsive to an excitation current to induce a flow of electrical current in a region of interest of the workpiece. A thermographic camera (22) is disposed at the inspection location. The thermographic camera is arranged to capture data indicative of a thermal response resulting from the flow of electrical current. A computer system (30) is configured to process the data from the thermographic camera to generate an indication of a presence of a discontinuity (e.g., a subsurface crack) in the workpiece.

Methodology, systems, and apparatus for remote sensing as by detection and mapping of subsurface artifacts including clandestine tunnels and other subterranean facilities that may carry enemy soldiers, terrorists, weapons, munitions and explosives and other material of war or terrorism by use of visual and thermal imagery, specifically including the use of infrared (IR) thermography and related analysis, including visual imagery and its analysis including correlation between IR thermography data, visual data and other information which can be taken into consideration in relation to IR thermography data and visual data. Various types of data enhancements may be used to assist in target detection.

A surface inspection apparatus and method of inspecting chip surfaces includes a laser generator that generates a periodic CW laser and is transformed into an inspection laser beam having a beam size smaller than a surface size of the chip. Thus, the inspection laser beam is irradiated onto a plurality of the semiconductor chips such that the semiconductor chips are partially and simultaneously heated. Thermal waves are detected in response to the inspection laser beam and thermal images are generated corresponding to the thermal waves. A surface image is generated by a lock-in thermography technique and hold exponent analysis of the thermal image, thereby generating surface image in which a surface defect is included. Time and accuracy of the surface inspection process is improved.

The present invention discloses means and methods for detecting irregularities in the cells throughout a healthy tissue. The method generally relates to cancer detection, diagnosis and treatment, and more specifically pertains to detection, diagnosis and treatment guidance of cancerous or precancerous conditions through the use of thermal imaging technology and analysis.

The invention provides a plant health state detection method based on a thermal imaging technology. The plant health state detection method based on the thermal imaging technology provided by the embodiment of the invention comprises the following steps: firstly, reading a temperature data file comprising plants and reference leaves and carrying out a vegetation soil separation algorithm and a reference temperature algorithm to obtain a vegetation soil separated data file and a canopy temperature Tc; obtaining a reference temperature Tp according to temperature data of thermal infrared images of the reference leaves; and finally, calculating according to the canopy temperature Tc, the reference temperature Tp and an air temperature Ta to obtain a vegetation transpiration diffusion coefficient, so as to obtain a health condition grade of the plants. Compared with the prior art, a three-temperature model is used for calculating the vegetation transpiration diffusion coefficient in the embodiment and the plant growth vigor is further evaluated; the operation is simple and the efficiency is high.

The invention discloses a detected object posture detection device, a method and a magnetic resonance imaging system. The device comprises a thermal image acquisition module used for acquiring a thermal image of the detected object, and a posture recognition module used for detecting features of at least one preset body part in the thermal image and determining the posture of the detected object according to the detection result. The invention also provides a detected object posture detection method. According to the technical scheme of the invention, the thermal imaging technology is mainly adopted for acquiring the thermal image of the detected object, body part recognition is carried out on the thermal image to determine the posture of the detected object, the cost of automatically detecting the detected object posture is reduced, and the popularization and application of the automatic detected object posture detection technology are facilitated.

The invention discloses a test system and method for the cooling performance of a microscale liquid cooler. The test system for the cooling performance of the microscale liquid cooler comprises the microscale liquid cooler, a heating device, a temperature measurement system, a cooling liquid circulator, a metering pump and a diverter. According to the test system, on one hand, high reliability, high accuracy and high precision of a micro-fluid division control technology are utilized, and the temperature, the flow and the pressure of the cooling liquid are accurately controlled step by step through the cooling liquid circulator, the metering pump and the diverter, so as to achieve accurate control of low-flow or extra-low flow cooling liquid; on the other hand, a surface temperature field of the heating device is monitored in real time by adopting an advanced infrared thermal imaging technology; visual observation of a working temperature field of a microscale device is achieved. By adopting the test system, the accuracy, the precision and the reliability of measurement of the cooling performance of the microscale liquid cooler are greatly improved; the test system is especially suitable for test of the cooling performances of the microscale liquid coolers for aerospace, information communication, transportation and medical treatment, automatic control, consumer electronics and the like.

A breath tracking method based on a thermal imaging technology presented by the invention mainly includes optimal quantization for a high-heat dynamic range scene, nasal region tracking, and breath estimation through heat voxel integration. First, the heat distribution sequence is optimally quantized by searching for a heat range of interest containing the temperature distribution of the overall face in each frame. Then, the heat distribution sequence is compared with a normal heat image under combined artifacts to get different shapes of the nostrils from an image based on heat gradient, and feature points representing the moving track of the nostrils are collected using a converted image. Finally, features are extracted by calculating the average value of heat distribution in a bounding box, and breath estimation is carried out through heat voxel integration. A thermal imaging system presented by the invention is not affected by lighting conditions, and the accuracy and stability of the nostril area tracking are improved. Moreover, the thermal imaging technology is of low cost, and a new possibility is opened up for a breathing rate monitoring device based on a smart phone.

The invention discloses a method for detecting defects of potatoes. The method comprises the following steps: cleaning and drying potatoes subjected to steam peeling, transferring the potatoes to a metal plate, contacting with running water at the temperature of 5-30 DEG C at the bottom of the metal plate, heating the potatoes by using an infrared lamp, photographing by using an infrared camera, transmitting the photographed photos to a computer, processing and analyzing an infrared thermogram of the potatoes through the computer, performing median filtering or average filtering and noise reduction on the thermogram, extracting a potato thermogram area by adopting a threshold segmentation method, and calculating an average temperature value of pixels in the area; calculating the difference of the temperature value of each pixel point and the average temperature value in the area, and calculating the area of a material object which corresponds to the pixel point with the absolute value of the calculated difference is larger than 1 DEG C, and if the area is larger than 25mm<2>, the potato is considered as a potato with the defects. The potatoes with poor quality are identified through a machine, damaged, rotted and germinative peeled potatoes are rapidly identified by utilizing a thermal imaging technology, and the identification accuracy rate is high and stable.

The invention discloses an infrared thermography detecting system for magnetic shoe defects and a detecting method of the system. The infrared thermography detecting system comprises a heat source, an infrared thermography sensor, a digital image acquisition card and a computer; the heat source is used for heating magnetic shoes; the infrared thermography sensor is used for collecting infrared thermography images of the heated magnetic shoes; the computer is used for processing the infrared thermography images of the magnetic shoes and analyzing the magnetic shoe defects. According to the infrared thermography detecting system and the detecting method of the system, the problems of low efficiency, high labor intensity and easiness in detection leakage of manual detection are solved, the detection automation of the magnetic shoe defects and the on-line application are easy to realize; the exteriors of the magnetic shoes are properly heated, and the defect detection and identification are realized by detecting whether magnetic shoe surface temperature distribution is abnormal according to conduction resistance and specific surface area differences of the magnetic shoe defects to heat flow, so that the surface defects and the interior defects of the magnetic shoes can be detected at the same time; by utilizing an infrared thermography technique which basically is not limited by the light illumination condition, the environmental disturbance resistance is relatively strong.

The invention discloses an intelligent elevator control alarming system and method based on a thermal imaging technology. The intelligent elevator control alarming system comprises one or more elevator cars, one or more thermal imaging cameras and processing servers; the one or more thermal imaging cameras are arranged in the elevator cars; the processing servers are arranged outside the elevatorcars and connected with the thermal imaging cameras; the processing servers are connected to an elevator control server through an internal network and further connected with an external network and an alarming and linkage system through the internal network; and the thermal imaging cameras obtain real-time thermal images inside the elevator cars and transit the real-time thermal images to the processing servers, and the processing servers analyze the real-time thermal images to judge whether an alarming signal is generated or not and send the alarming signal to the elevator control server orthe external network or the alarming and linkage system. The thermal imaging cameras and elevator control are combined, and thus when the body temperature of passengers is abnormal or the environmenttemperature of the elevator cars is abnormal, alarming and linkage can be conducted in time.

The invention provides a static-state light reflection micro-thermal imaging method and device and terminal equipment. The method comprises the steps that images of a measured light source area A anda measured target area B are acquired at the same time, and through pixel reading of the light source area A, a drifting correction coefficient of the measured target area B is acquired; N frames of images of the measured target area B at all temperatures are acquired at M different temperatures, a reading mean value, shown in the description, of any pixel bk in the measured target area B is calculated, and M data pairs corresponding to bk are acquired; linear fitting is conducted for obtaining a slope beta, and a photo-thermal reflection coefficient CTR(bk) corresponding to bk is calculated according to beta; a reading mean value, shown in the description, of bk at a reference temperature T0 and a reading mean value, shown in the description, of bk at a to-be-measured temperature Tx are calculated separately; according to T0, CTR(bk) and the two values shown in the description, the to-be-measured temperature Tx(bk) of bk is calculated. The problem is solved that based on a thermal imaging technology of a camera, the temperature of a measured object needs to be modulated.

The invention discloses a solar panel fault detection method and system and a robot. The method comprises the following steps that 1, a thermal imaging picture of any sampling area on the solar panelis acquired; 2, the thermal imaging picture is converted into a temperature value picture; 3, according to the temperature value picture, whether or not a fault area exists in the area is detected. Byadopting a thermal imaging technology, the temperature conditions of the solar panel on all areas are detected when the sweeping robot walks, an area with extremely high temperature is judged into the fault area, the system gives an alarm to a background server in time and informs maintenance, so that the operation safety of the solar panel is guaranteed, and the fault area of the solar panel isprevented from being further enlarged.

The invention discloses a high-precision testing method for interface contact thermal resistance, which belongs to the technical field of testing. The testing method of the invention uses an advancednon-contact thermal imaging technology to perform average processing of multiple data points. Compared with the existing interface extrapolation or random value selection method for an interface temperature difference, the testing method can obtain the interface temperature difference in a more accurate mode, the interface contact thermal resistance testing precision by adopting the thermal imaging technology is further improved, high-precision testing on high-temperature, transient and micro-nano-scale interface contact thermal resistance can be realized, and interface contact thermal resistance testing at a temperature range of normal temperature to 2700 DEG C can be realized.

The invention discloses a medium and low altitude flying unmanned aerial vehicle monitoring system. The medium and low altitude flying unmanned aerial vehicle monitoring system comprises a ground power supply assembly and an aircraft, wherein the ground power supply assembly comprises a ground electricity supply module, a low-voltage electricity supply module and a high-voltage line, a mooring cable internally comprises an electricity supply wire and two single mode fibers, a support is arranged on one side of the ground power supply assembly, a wire winding box is arranged on the support, a thermal imager, a visible light high-definition camera and a laser range finder are arranged in a monitoring box, and a central processing unit module, a GPS positioning module, a Beidou positioning module, a data transmission module and an alarm chip which are connected with one another are arranged in a control box correspondingly. According to the medium and low altitude flying unmanned aerial vehicle monitoring system, data connection is established between the aircraft and the ground in a broadband mode so that monitoring data can be acquired the first time; through a thermal imaging technology, high-definition monitoring data can be accurately acquired, and the reliable data can be provided for workers; and through a positioning system and the alarm chip, accurate position informationof an alarm place can be quickly acquired, and measures can be conveniently and quickly taken for abnormal conditions.