22 results about "Ir thermography" patented technology

The invention provides a port equipment intelligent inspection method based on multi-source data, and the method comprises the steps: enabling an unmanned plane to synchronously collect the multi-modal data, such as infrared thermal imaging, three-axis vibration, visible light and time sequence working conditions, and achieving the heterogeneous data alignment through high-precision space-time marking; performing normalization correction, filtering transformation and enhancement processing on each modal data to form a standard feature tensor; constructing a causal sensitivity initialization weight in combination with a historical fault sample, driving a dynamic weighted fusion network to generate multi-modal joint representation, and outputting an abnormal score and structured attribution explanation in a double-path reasoning network; through user feedback and man-machine collaborative correction, weight closed-loop adaptive evolution is realized, the accuracy and discrimination interpretability of equipment anomaly detection are improved, and maintenance decision and continuous optimization of an inspection system are facilitated.

Systems and methods for non-destructive evaluation of components using infrared thermography are provided. A method includes mechanically exciting the component, and using an infrared sensor to acquire a thermographic image of part of the component containing a defect. Using a machine learning algorithm, a health condition of the component is determined based on the new thermographic image. The machine learning algorithm is trained using machine learning and historical data associating previous thermographic images with previous remaining service lives for the component.

The invention discloses a nondestructive testing method for defects of a friction part based on pulse infrared thermal imaging. The method comprises the following steps: determining thermal physical parameters of each component material of the friction part with the defects through experimental measurement or material manual query; constructing a short-pulse infrared thermal imaging detection system and a long-pulse infrared thermal imaging detection system; a short pulse infrared thermal imaging detection system and a long pulse infrared thermal imaging detection system are respectively adopted to detect the friction part, and sequence infrared images and corresponding temperature data are synchronously obtained; in the collected sequence infrared images, selecting central areas and defect-free areas of different depth defects on the friction part as feature points, and extracting temperature data of each feature point to draw a temperature-time curve; performing data reconstruction and image enhancement processing on the acquired sequence image data; analyzing the image to obtain a detection result. According to the invention, accurate detection of different depth defects in the friction part is realized, the identification capability of the depth defects is improved, the cost is reduced, and the adaptability is high.

This invention relates to the field of infrared thermal imaging technology, and particularly to an infrared thermal imaging method for automatically calibrating sensor parameters based on ambient temperature. The method includes: Step 1: Acquiring temperature data from a built-in reference source and determining whether temperature inaccuracy has occurred; if yes, proceeding to Step 2; otherwise, proceeding to Step 4; Step 2: Calculating the failure probability of the target temperature sensor and determining whether the temperature sensor is faulty; if yes, proceeding to Step 3; otherwise, proceeding to Step 4; Step 3: Fusing the sensor failure probability to optimize the inaccuracy judgment of the built-in reference source and predicting the temperature of the built-in reference source; then, constructing a temperature compensation model and using ambient temperature and historical data to correct the output thermal image data; Step 4: Determining whether the ambient temperature exceeds the upper limit of the predicted operating temperature; if yes, constructing a high-temperature adaptive compensation model for nonlinear compensation; otherwise, returning to Step 1.

A method of joining electronic components to an electronic substrate in an apparatus includes: (1) transporting electronic substrates through a chamber housing including a tunnel extending through multiple processing zones; (2) detecting temperatures of the electronic substrates passing proximate to a heat detection system including at least one temperature sensor coupled to the chamber housing; (3) receiving temperature data from the heat detection system with a controller coupled to the multiple processing zones, the conveyor, and the heat detection system; (4) determining, by the controller, with reference to the detected temperatures of the electronic substrates, an adjustment to at least one of (a) a heat setting of a heating element within the chamber housing, (b) a speed of the conveyor, and (c) an operational speed of a blower within the chamber housing; and (5) performing the determined adjustment.

A system is described, which provides a realtime, thermal-based intraoperative brain mapping system. In general, the system integrates a thermal camera that provides a map of temperature changes, while simultaneously providing stimuli and recording behavioral responses. The system can implement real-time processing of data to produce functional maps. The present disclosure also provides methods for characterizing the spatial and temporal properties of the thermodynamic response, which can be used to optimize an infrared mapping procedure.

The invention discloses a real-time detection method, system, equipment and medium for an easy-to-heat area of a dry-type flexible cable terminal, and belongs to the technical field of easy-to-heat area detection.The method comprises the steps that an infrared thermal imaging image of the dry-type flexible cable terminal is acquired, and the easy-to-heat area is marked; constructing a target detection model; replacing a standard convolutional layer with a multi-branch unit in the feature extraction network, enhancing feature expression through weighted fusion of parallel branches in a training stage, and equivalently converting into a single convolutional layer in a reasoning stage; setting an attention mechanism in an input stage of the feature fusion network, generating attention weights through deep convolution processing, multi-scale convolution processing and channel convolution processing, and multiplying the attention weights with corresponding features; a lightweight unit is used in the feature fusion network, and the parameter quantity is reduced through channel separation and respective transformation. According to the method, the detection precision is improved, the model parameter quantity is reduced, the reasoning speed is improved, and the real-time detection requirement of edge end equipment can be met.

An active infrared thermography system and a computer-implemented method for generating a thermal image are provided. The active infrared thermography system includes one or more excitation sources, an infrared camera, one or more portable power sources arranged to power the one or more excitation sources and the infrared camera, and a housing, the one or more excitation sources and the one or more portable power sources being received in the housing.

The disclosure deals with methodology and involved or associated systems for using infrared technology to detect tissue damage below the skin. Pressure and shear stress can damage the microvascular structure below the skin, which is not visible to the naked eye. Infrared thermography is a non-invasive mechanism to measure skin temperature via thermal radiation. Changes (restrictions) in blood flow below the skin can result in microvascular damage to the tissue, and directly impact skin temperature, which can be detected by infrared thermography. Infrared thermography can detect these changes at the site of tissue damage. This disclosure uses affordable infrared thermography to detect changes in temperature related to blood flow alterations, supported with AI. Using serial images, AI can detect an emerging DFU (Diabetic Foot Ulcer) in DM (Diabetes Mellitus) patients through deviations in skin temperature.

This invention relates to the field of intelligent medical assistance technology, specifically disclosing a method and system for trauma assessment in sutureless tumor aspiration surgery. The method includes: dividing the wound into tissue contact units, analyzing subcutaneous adhesion using infrared thermography and ultrasound images to identify suspected non-adhesion areas; collecting subcutaneous displacement data during easily dissociated states such as coughing and turning over, and marking suspected deformation areas through dynamic deformation analysis; obtaining candidate cavity units through spatial overlay, and determining the actual subcutaneous cavity by combining ultrasound pixel analysis and cavity volume; finally, performing cavity closure operations, and evaluating the closure effect through cavity closure rate and stable unit ratio. The system includes: an adhesion analysis module, a dynamic deformation module, a cavity determination module, and a closure achievement module. The solution integrates static structure detection and dynamic mechanical monitoring to achieve cavity identification and targeted intervention, providing reliable support for postoperative trauma assessment and monitoring.

The invention discloses an equipment state real-time monitoring device for route inspection monitoring. The equipment state real-time monitoring device comprises an inspection robot. According to the device, the cylinder, the rotating cover, the horizontal air injection elbow, the air outlet pipe, the spray head, the first control valve, the second control valve, the first pressure tank, the second pressure tank and the circular truncated cone are arranged, so that the cylinder can be filled with water mist which continuously changes in the flowing direction and has certain pressure; the water mist can perform water mist impact on a high-definition camera, a gas sensor group and an infrared thermal imager in all directions, and attachments such as oil stains and dust outside the high-definition camera, the gas sensor group and the infrared thermal imager can be effectively cleaned, so that the high-definition camera, the gas sensor group and the infrared thermal imager can operate normally; and the monitoring precision is improved. The equipment state real-time monitoring system for route inspection monitoring can monitor the pressure in the pressure tank I and the pressure tank II in real time, and also can monitor the humidity in the cylinder in real time, so that a user can master the condition of the cleaning function of equipment conveniently.

Methods for defining a building internal framework from external imagery are presented, the method including: receiving a number of raw images of a building; processing the number of raw images of the building to establish a number of facades; and determining the building internal framework for each of the number of facades. In some embodiments, the processing the number of raw images includes: for each of the number of façades, selecting a façade; selecting all IR thermography images corresponding with the selected façade; removing distortion from the selected IR thermography images; stitching the selected IR thermography images corresponding with the selected façade together to form a single façade image corresponding with the selected facade; correcting perspective distortion of the single facade image; cropping the single façade image; and receiving dimensions of an actual façade corresponding with the single façade image.

Personal care device, including: a fall detection module (110) that detects one or more types of activity signals of the user's daily activities in his or her home environment; a fall data processing module (125) that analyzes and processes one or more types of activity signals and generates a preliminary fall signal when it is determined that the user has fallen; an alarm module (130) that is coupled with the fall data processing module (125) and issues a user fall confirmation alarm based on the preliminary fall signal; a first infrared thermography detection module (160) that generates a first infrared thermography signal relating to the user's daily activities; a physiological information processing module (170) coupled with the first infrared thermography detection module (160) and the fall data processing module (125) which analyzes the first infrared thermography signal based on the preliminary fall signal to generate a vital signs signal of the user; a life detection module (180) coupled with the physiological information processing module (170) and the alarm module (130) that analyzes the user's vital sign signal to assess the user's current physiological state; and a religious music playback module (190) coupled to the life detection module (180), wherein, when the life detection module (180) detects that the user's vital signs are outside a safety area, the alarm module (130) triggers an emergency first aid alarm and the religious music playback module (190) plays religious music in the user's living environment.

This invention relates to the field of non-destructive testing (NDT) technology in building engineering, specifically a method and system for NDT of internal defects in building structures. The method includes: simultaneously acquiring ultrasonic pulse echo, X-ray projection, and infrared thermography sequences of the target area; extracting signal features through time-frequency joint analysis; generating an internal three-dimensional density field through tomographic reconstruction and density inversion; identifying thermal resistance anomalies through transient thermal conduction analysis; fusing the above multi-physics field features and inputting them into a pre-trained deep network model to directly output the defect type, precise geometric parameters, and quantified hazard level; and automatically generating a spatial location map of the defect and a damage evolution trend prediction report based on these features. This invention achieves deep fusion and intelligent analysis of multi-source information, improves the accuracy of defect identification and quantitative assessment, and enables predictive assessment of defect development trends.

This invention provides a method and apparatus for multiaxial fatigue damage assessment of steel bridge welds considering residual welding stress, relating to the field of fatigue strength analysis and life prediction technology for steel bridge structures. The invention employs X-ray measurement of three-dimensional residual stress in the geometric transition region of the steel bridge weld, combined with infrared thermography and structured light scanning to acquire thermal distribution and surface morphology data, achieving spatial alignment of multi-source data based on a unified coordinate system. Secondly, random perturbations are applied to the residual stress to simulate stress fluctuations during service, constructing robust weighted risk factors. A dual-modal deep neural network is constructed, adaptively fusing infrared thermography and three-dimensional weld morphology information through an attention mechanism. The robust weighted risk factors are used as a supervisory signal to train a fatigue risk regression model, predicting risk factors at each location. Based on preset thresholds, low, medium, and high risk levels are defined, achieving accurate graded assessment of weld fatigue damage.

Embodiments relate to use of microwave heating and infrared thermography for assessing perfusion. The system includes a microwave source, an antenna, and a radiometer. The microwave source generates microwave radiation at a frequency that is tuned to or near a resonance frequency by the antenna to output a microwave beam. The microwave beam is caused to be incident upon tissue and is converted to heat. The heated tissue emits infrared radiation that is monitored by the radiometer. The system allows for a low-cost, efficient, and non-invasive technique to assess blood perfusion without radiofrequency interference. Use of infrared thermography is accomplished by the formation of the hole in the antenna structure. Use of an array of such antennas allows the measurement of perfusion for multiple points across a region of the body. The efficiency of the system is aided by adjusting the average microwave power via pulse width modulation.

Embodiments relate to use of microwave heating and infrared thermography for assessing perfusion. The system includes a microwave source, an antenna, and a radiometer. The microwave source generates microwave radiation at a frequency that is tuned to or near a resonance frequency by the antenna to output a microwave beam. The microwave beam is caused to be incident upon tissue and is converted to heat. The heated tissue emits infrared radiation that is monitored by the radiometer. The system allows for a low-cost, efficient, and non-invasive means to assess blood perfusion without radiofrequency interference. Use of infrared thermography is accomplished by the formation of the hole in the antenna structure. Use of an array of such antennas allows the measurement of perfusion for multiple points across a region of the body. The efficiency of the system is aided by adjusting the average microwave power by means of pulse width modulation.

The invention relates to the technical field of data processing, in particular to an induction cooker heating control method and system, and the method comprises the steps: synchronously obtaining a drive coil voltage phase difference, a current harmonic distortion rate and a pot bottom infrared thermal imaging spectrum; carrying out equivalent complex impedance conversion on the voltage phase difference, extracting a current harmonic distortion rate envelope characteristic quantity, and deducing an entropy value representing a cookware microstructure by associating thermal imaging temperature gradient distribution; dividing a driving coil virtual grid based on curvature characteristics, setting a pulse width base value at a curvature extreme point, calculating the dynamic pulse width of each sub-region in combination with an entropy gradient modulus and a magnetic conductivity attenuation factor, and constraining adjacent pulse time sequence optimization distribution; and monitoring the current harmonic distortion rate variation in real time, updating an entropy value and reconstructing a pulse width modulation matrix when the current harmonic distortion rate variation exceeds a threshold value, and executing an optimized pulse sequence to control the oil temperature fluctuation range. Through electromagnetic and thermal field cooperative sensing, entropy quantification, chaotic early warning, space-time optimization and a closed-loop iteration mechanism, the oil temperature in the pot is kept stable.

Systems and methods for non-destructive evaluation of components using computed tomography and infrared thermography are provided. A method includes acquiring, using X-ray computed tomography, a digital three-dimensional representation of the component, and identifying a region of the component containing the defect from the digital three-dimensional representation of the component. The component is mechanically excited to induce a thermal response in the region of the component containing the defect. A thermographic image of the region of the component containing the defect is acquired with an infrared sensor while the thermal response is exhibited. The component is evaluated using the thermographic image.

The invention discloses a photovoltaic power station integrated management system and method, and relates to the field of photovoltaic power generation, the system is composed of a plurality of functional modules, and the system comprises a local temperature reference construction module which collects infrared thermal imaging images, divides the infrared thermal imaging images into a plurality of areas according to the physical structure of a photovoltaic cell string, and constructs a local temperature reference based on sub-areas in the plurality of areas, the local temperature reference is corrected by adopting weighted median filtering in combination with neighborhood consistency, the temperature distribution concentration degree and the temperature gradient in the subarea are obtained, and the local temperature reference is generated at the same time; the self-adaptive anomaly preliminary screening module is used for acquiring a comprehensive full-graph environment state, dynamically generating a temperature rise threshold value for the sub-region based on a local temperature reference and a temperature distribution concentration degree in the sub-region, and performing preliminary anomaly screening on the sub-region according to the temperature rise threshold value to obtain a candidate anomaly region; and the heat flow topology discrimination module constructs a heat flow vector field based on the temperature gradient.

The invention discloses an air cooling island flushing system optimization algorithm based on SEC, and relates to the technical field of intelligent operation and maintenance of a thermal power generating unit air cooling system, and the algorithm comprises the steps: collecting air cooling island operation state data, environmental parameters and surface infrared thermal imaging images, and inverting the fouling thermal resistance distribution of each region according to the infrared thermal imaging images and the temperature of a condenser cooling air outlet, the method comprises the following steps: dividing flushing partitions by combining a physical structure and calculating a local dirt index, based on a multi-mode SEC-cleaning effect mapping library, matching an optimal flushing mode according to dirt types, predicting heat exchange efficiency gain and energy consumption by combining historical heat transfer performance, calculating an energy efficiency income ratio of each partition, setting a dynamic energy efficiency income threshold, and identifying the partition needing to be flushed. And generating a combined control instruction containing a partition identifier, a mode, water pressure, flow and time length, executing differential flushing, evaluating actual gain and energy consumption after flushing, and performing online correction on the multi-mode SEC cleaning effect mapping library and a dynamic energy efficiency income threshold to realize closed-loop self-optimization.