24 results about "Thermography technique" patented technology

The invention relates to the field of human body state monitoring, in particular to a human body state monitoring method and system based on a thermal imaging technology, and the method comprises the steps: obtaining an infrared thermal image and a visible light image of a human body; registering the infrared thermal image to a coordinate system of the visible light image and extracting a temperature field; performing posture evaluation on the visible light image to extract skeleton key points, and dividing the human body into a plurality of eudipleural regions of interest based on the skeleton key points; calculating a corrected thermal symmetry difference value between the eudipleural regions of interest to obtain a thermal symmetry difference chart; carrying out region growth based on the point with the maximum pixel value in the thermal symmetry difference image to obtain an abnormal hot spot region; calculating the product of the inflammation activeness index and the boundary confidence of the abnormal hot spot region to obtain a state risk value; and generating an alarm signal in response to that the state risk value is greater than a set threshold. The problem of high false alarm rate of human body state monitoring in a dynamic complex environment is solved.

This invention provides an infrared thermal imaging method, relating to the field of infrared thermal imaging technology. The method utilizes a germanium infrared lens in an infrared thermal imaging system, whose surface is sequentially composed of subwavelength micro / nano structures and an anti-reflection film structure from the inside out. The infrared thermal imaging method includes: focusing target infrared radiation through the germanium infrared lens onto an infrared detection array; the infrared detection array converting the target infrared radiation into an electrical signal matrix; performing noise reduction and gain correction on the electrical signal matrix to obtain a preprocessed electrical signal matrix; performing temperature compensation on the preprocessed electrical signal matrix based on a temperature compensation formula and a transmittance temperature model to obtain a corrected signal matrix; and sequentially performing non-uniformity correction, image enhancement, and pseudo-color mapping on the corrected signal matrix before outputting and displaying the result. Using the method of this invention, higher transmittance, lower reflection loss, and more stable thermal imaging can be achieved.

Systems and methods for inspecting components with thermography are provided. The systems and methods facilitate the selection of thermography parameters for a particular inspection situation. A method includes executing a machine learning algorithm to determine one or more thermography parameters based on one or more characteristics of the component, and performing a thermographic inspection according to the one or more thermography parameters. The thermographic inspection includes exciting the component to induce a thermal response in a region of the component containing a defect, and acquiring a thermographic image of the region of the component containing the defect.

The invention relates to the technical field of emergency drill evaluation, in particular to a chemical storage tank area fire emergency drill intelligent evaluation system and evaluation method.The multi-source monitoring terminal is arranged in a preset key area of a chemical storage tank area and used for collecting multi-dimensional sensing data of a drill site; the data transmission network is connected with the multi-source monitoring terminal and is used for transmitting the multi-dimensional sensing data in real time; and the background processing center is connected with the data transmission network and is used for receiving and processing the multi-dimensional sensing data. The effectiveness of fire extinguishing operation is quantitatively evaluated through an intelligent algorithm, accurate data support is provided, and the evaluation accuracy is improved; a detailed evaluation report is automatically generated, the evaluation period is greatly shortened, and the timeliness is improved; advantages and deficiencies of drilling are clearly pointed out, targeted improvement suggestions are provided, and emergency plan optimization is assisted; the thermal imaging technology penetrates through the smoke to monitor the temperature, and the dangerous area identification and fire behavior judgment capability is improved.

The present application relates to the field of human state monitoring, and particularly relates to a human state monitoring method and system based on thermal imaging technology, the method comprising: acquiring an infrared thermal image and a visible light image of a human body; registering the infrared thermal image to the coordinate system of the visible light image and extracting a temperature field; performing posture evaluation on the visible light image to extract skeleton key points, and dividing the human body into multiple left-right symmetrical regions of interest based on the skeleton key points; calculating correction thermal symmetry difference values between the left-right symmetrical regions of interest to obtain a thermal symmetry difference map; performing region growing based on the point with the maximum pixel value in the thermal symmetry difference map to obtain an abnormal thermal spot region; calculating the product of an inflammation activity index and a boundary confidence of the abnormal thermal spot region to obtain a state risk value; and in response to the state risk value being greater than a set threshold, generating an alarm signal. The present application solves the problem of high false alarm rate of human state monitoring in a dynamic and complex environment.

The present application relates to the technical field of industrial control, and particularly relates to a SMT production process quality control method and system.A SMT production process quality control system comprises a solder paste distribution situation real-time acquisition module, an electromagnetic coil array parameter adjustment module and a reinforcement learning module.The present application acquires a thermal image of a PCB board in real time by arranging an electromagnetic coil array around a reflow soldering furnace and combining an infrared thermal imaging technology, and sends the thermal image into a solder paste segmentation model for processing, so as to accurately represent the flow state of the solder paste.Based on the solder paste distribution thermal map, the system can dynamically adjust the control parameters of the electromagnetic coil array, including current intensity, current frequency and waveform, so as to accurately adjust the electromagnetic field, optimize the flowability of the solder paste, avoid excessive or insufficient accumulation of the solder paste, and reduce the risk of tin bridges and virtual welding.

The utility model relates to the technical field of infrared thermal imaging, and specifically discloses a purging type infrared thermal imager protection cabin. Comprising a protective cover which comprises an outer cabin, an inner cabin and a purging air channel formed between the outer cabin and the inner cabin; one end of the protective cover is also provided with an air hole communicated with the outside, and the air hole is communicated with the purging air passage; the thermal imager is arranged in the protective cover, and a lens of the thermal imager is arranged at one end, provided with the air hole, of the protective cover; the gas supply assembly is communicated with the purging gas channel and the inner cabin through a connector and conveys gas into the purging gas channel for circulation; wherein the air is sprayed out through the air holes, so that active blowing of the lens area is realized. Through the design of the air holes and the purging grooves, it is ensured that airflow can ensure the purging uniformity, and the phenomenon of local overheating is effectively avoided, so that a more stable and safer working environment is provided for the thermal imager.

The invention relates to an infrared-based dielectric barrier discharge state real-time detection method and system, belongs to the field of plasma equipment state monitoring, and is characterized in that temperature data is filtered, calibrated and reconstructed through a microcontroller in combination with an infrared thermal imaging technology; resampling the original low-resolution temperature field by adopting a bilinear interpolation method; synchronously acquiring a temperature matrix and electrical parameters, and constructing a discharge state classification data set; expanding sample diversity through a data enhancement technology; a convolutional neural network is established to perform feature extraction and classification on temperature field image data, network hyper-parameters are automatically adjusted in combination with a Bayesian optimization algorithm, and a real-time visual diagnostic tool is introduced to monitor model output. According to the method, infrared thermal imaging and deep learning technologies are combined, the problems that a traditional monitoring method is lagged in response and complex in operation are solved, and the method is high in real-time performance, easy and convenient to operate, high in accuracy and suitable for monitoring the discharge state of scenes such as plasma surface modification equipment of flexible electronic devices.

The invention relates to the technical field of medical instrument manufacturing and quality control, and discloses a method and system for detecting the state of a jaw of an ultrasonic surgical instrument. The method comprises the steps that an ultrasonic host is controlled to apply preset excitation to a to-be-detected ultrasonic surgical instrument with a jaw in a closed state, so that the jaw generates thermal response; synchronously acquiring an infrared thermal image sequence of the jaw through non-contact detection equipment; processing the acquired infrared thermal image sequence to obtain a temperature distribution feature vector representing jaw force distribution; and calculating an error value between the temperature distribution feature vector and a preset qualified standard model, and judging whether the jaw force distribution of the ultrasonic surgical instrument to be detected is qualified or not according to the error value. According to the invention, a non-contact thermal imaging technology is utilized, rapid, high-precision and lossless quantitative evaluation of the jaw force distribution state is realized, and key technical support is provided for comprehensive monitoring and process optimization of product quality.

The invention belongs to the technical field of infrared thermal imaging, and particularly relates to a refrigeration type medium-wave infrared thermal imaging system, which analyzes the real-time working load of an infrared detector through a detection load sensing unit, outputs a load analysis result, and calculates the real-time working load of the infrared detector through a refrigeration parameter calculation unit based on the load analysis result. The optimal refrigeration temperature and refrigeration power are calculated, refrigeration parameters are output, finally, refrigeration work is started based on the refrigeration parameters through an accurate refrigeration unit of the Stirling refrigerator, meanwhile, the actual temperature of the detector is monitored in real time, and temperature data are output; on the basis, the real-time working load and the environment temperature of the detector are dynamically matched through the refrigeration temperature control module, precise refrigeration according to needs is achieved, the problem of high power consumption caused by the fixed refrigeration temperature is avoided, and it can be ensured that the detector is in the optimal low-temperature environment under different loads so that the detection performance can be guaranteed.

The application discloses a kind of detection system and comprehensive evaluation method of marine anti-corrosion duration of protective material, the system includes detection component, for simulating salt fog and mechanical vibration transport environment under marine state;Test tooling is used to simulate the structure of easy rusting part in actual marine process;Environment control component is used to simulate the alternating wet and hot environment and carry out real-time monitoring;Imaging component is used to detect the temperature difference of the surface of the test tooling material, identify the rusting area, and record the earliest rusting time of the test tooling.The test tooling designed by the application covers machine-added surface, bolt, threaded hole through hole, threaded hole blind hole and other easy rusting parts, uses infrared thermal imaging technology to periodically scan the test tooling, identifies the damage point and local early rusting of protective material, comprehensively evaluates the anti-corrosion ability of protection scheme, realizes efficient, quantitative and dynamic anti-corrosion ability evaluation, and provides support for rapid screening and process optimization of protective material and protection scheme in marine scenario.

The invention is applicable to the technical field of medical diagnosis, and provides a method for diagnosing dyslipidemia by using an infrared thermal imaging technology, which comprises the following steps of: a, preparing a subject before infrared thermal imaging scanning; comprising but not limited to environment regulation and control, information collection of a subject and signing of an informed agreement book; b, scanning the whole body of the subject by using infrared thermal imaging equipment, and recording an infrared thermal image of the subject; and c, analyzing the collected infrared thermogram, and determining the temperature distribution characteristics of the specific area of the abdomen of the subject. According to the method for diagnosing the dyslipidemia by using the infrared thermal imaging technology, the energy metabolism condition of the body can be reflected through the infrared thermal imaging technology, a new means is provided for early detection of the dyslipidemia, the dyslipidemia can be found and intervened in time, and the risk of chronic diseases such as cardiovascular diseases is reduced.

The application relates to the field of infrared thermal imaging technology and discloses a device calibration method, a device calibration system and a device. The device calibration method is executed by an upper computer, and the upper computer is in communication with at least one target device to be calibrated through a lower computer. The device calibration method comprises the following steps: acquiring the device identification of the at least one target device; querying the calibration parameters of the target devices from a calibration parameter file based on the device identification of the target devices, wherein the calibration parameter file comprises a corresponding relationship between the device identification and the calibration parameters; and sending the calibration parameters of the target devices to the lower computer, so that the lower computer calibrates the target devices based on the received calibration parameters of the target devices. The method can reduce the labor cost of device calibration and improve the calibration efficiency.

The application particularly relates to a pressurized gasification furnace material lock feeding method and device based on infrared thermal imaging monitoring, which comprises the following steps: determining a target layer positioning block by identifying the current load demand of the gasification furnace, taking the target layer positioning block as a control reference, feeding the material lock at a target feeding speed corresponding to the target layer positioning block after opening an upper valve of the material lock, then monitoring the number of remaining positioning sub-blocks of the target layer positioning block by using an infrared thermal imaging acquisition device, and closing the upper valve of the material lock if the number of the remaining positioning sub-blocks is less than or equal to a preset number of positioning sub-blocks. Thus, the problems of inaccurate measurement and easy equipment damage of the gasification furnace material lock feeding method in a high-temperature and high-pressure environment are solved, the target layer positioning block in the material lock is determined according to the load demand, the infrared thermal imaging technology is used to monitor the material position in the material lock based on the target layer positioning block, the reliability and precision of the material level monitoring are improved, and the stability of the operation load of the gasification furnace is ensured.

A photography and thermography combining method of obtaining, for a chosen spectacle frame model of a spectacle wearer, at least one fitting parameter to fit an ophthalmic lens into the spectacle frame model. The method includes taking a photograph of the wearer's face with spectacles having the chosen spectacle frame model, taking a thermogram of the wearer's face with the spectacles, identifying the spectacles' contour in the thermogram, overlaying the identified contour or a boxing shape derived from the identified contour onto the photograph, thus obtaining a composite image, and obtaining the at least one fitting parameter from the composite image.

This invention relates to a LightGBM-based method for inverting the hot spot temperature of GIS disconnector contacts, belonging to the field of gas-insulated switchgear. The method includes: conducting a temperature rise test on the GIS disconnector; simultaneously collecting load current, ambient temperature, and three-phase contact temperatures; acquiring the shell temperature field information using infrared thermal imaging technology; calculating ten statistical characteristics of the shell temperature for each phase; constructing an initial dataset; and performing normalization preprocessing. Using load current, ambient temperature, and the ten-dimensional shell temperature statistical characteristics as inputs, and the contact hot spot temperature as output, an inversion model is established using the LightGBM algorithm. The key hyperparameters of the model are optimized using grid search combined with cross-validation to obtain the optimal model. Finally, the model inversion effect is evaluated. This invention eliminates the need to install sensors inside the GIS; it achieves high-precision, non-invasive inversion of internal contact hot spot temperatures using only easily obtainable shell temperature field information and operational data.

The present application belongs to the technical field of chemical experiment, and particularly relates to a chemical drying experiment method based on thermal imaging technology. The present application is to solve the limitation that the traditional drying experiment method can only be based on mass determination. Through the thermal imaging technology, the surface temperature θ data and the surface temperature distribution image results of the dried material are determined along with the drying time τ in the drying process. Combined with the measurement results of the mass G change of the wet material in the drying process, the change law of the material surface temperature distribution and the moisture distribution is analyzed, and the heat transfer and mass transfer characteristics of each stage of the drying process and the verification of the basic principle of drying are carried out. The present application can be applied in the "drying experiment" teaching process of the chemical principle experiment course. Not only the content of θ-τ relationship curve determination in the drying curve can be improved, but also the knowledge coverage of the experiment can be enhanced. Furthermore, the understanding of the heat transfer, mass transfer characteristics and basic principles of different stages in the drying process can be further strengthened.

A method for measuring by thermography a heating surface such as a metal surface, a ceramic surface in particular an electric heating plate includes a homogeneous layer with constant thickness of a coating material is deposited onto the surface to be measured, the surface is heated to a determined temperature; and a thermal image of the surface coated with the layer of coating material, heated, is captured using a thermal measurement apparatus, the coating material having an emissivity detectable at the determined temperature in the spectral range of the thermal measurement apparatus, the coating material having an emissivity higher than that of the surface in the spectral range of the thermal measurement apparatus.

Method for testing the quality of preforms (2) for the manufacture of containers immediately following the manufacturing process of the preforms using passive thermography, wherein the preforms are made of plastic by injection molding and these preforms are subsequently further processed into the finished containers, comprising the steps - Transporting the preforms to be tested (2) by means of a first transport device (3), - Transporting the tested preforms (2) using a second transport device (5), - Transfer of the preforms (2) from the first to the second transport device (3, 5) at a transfer point (4), wherein the preforms (2) are transferred in free fall or along an inclined plane, - Taking thermal images of the preforms (2) using a thermal imaging camera (6) during the transfer of the preforms (2), - Processing the thermal images with a processing device (7) such that the temperature distribution on the surface of the preforms (2) is determined and anomalies in the temperature distribution on the surface of the preforms (2) are detected by comparing the temperature distribution of the recorded thermal image with a reference thermal image for the respective preform to be produced and if deviations occur that exceed certain tolerance values ​​stored in the processing device (7), this is detected by the processing device (7), whereby such deviations indicate that excessively high or excessively low temperatures occur in the manufacturing process.

This invention provides a composite material defect detection system and method, relating to the field of nondestructive testing technology. It addresses the inaccuracy of detecting minute defects under low-power excitation. The system includes: a multi-excitation signal generation module providing different excitation modes, each selectively enhancing the response of a specific type of defect in the composite material under test; outputting an excitation signal matched to a target command; an ultrasonic excitation module receiving the excitation signal and converting it into mechanical vibration; transmitting the mechanical vibration to the composite material under test in the form of symmetrical surface contact to excite a temperature difference between the defective region and the non-defective region within the composite material; an infrared thermal imaging acquisition module acquiring thermal image data of the composite material under test using thermal imaging technology matched to the excitation signal; and a synchronous control and signal processing module receiving the thermal image data and determining the defect location based on the thermal image data.

This invention discloses a compact inductive thermal imaging detection device and testing method for fatigue cracks in steel structures, belonging to the field of mechanical engineering technology. It includes: a data processing terminal, an infrared thermal imaging module, a controller, a uniform field magnetization device, and a steel structure specimen. Firstly, by eliminating the water-cooling system and adopting a magnetic yoke focusing design, this invention achieves overall lightweight and compact design, making it truly suitable for various field environments. Secondly, the adjustable distance of the magnetic yoke base allows a single probe to adapt to various complex geometries, overcoming the limitations of cumbersome coil replacement in traditional methods and improving versatility and economy. Thirdly, the optimized magnetic field distribution ensures effective and uniform heating of the detection area with low power consumption. Finally, the device, combined with a standardized thermal image sequence analysis algorithm, provides a solution for rapid detection of surface defects in metallic materials, successfully engineering and practicalizing high-sensitivity laboratory inductive thermal imaging technology.

The invention provides a desulfurization equipment temperature anomaly diagnosis method and system using a thermal imaging technology, and relates to the technical field of temperature monitoring, and the method comprises the steps: obtaining thermal imaging data, and carrying out the normalization; temperature distribution characteristics are extracted, working condition parameters are obtained, and a mapping relation is established through position time sequence coding; modeling and calculating an abnormal metric value by using a variational auto-encoder; determining an abnormal source and a propagation path based on the functional region directed graph; and fusing the abnormal metric value and the abnormal propagation information to output a diagnosis result. According to the method, temperature abnormity can be accurately identified, an abnormal source and a propagation rule can be accurately positioned, and the fault prediction accuracy of the desulfurization equipment is improved.