65 results about "Thermal mapping" patented technology

The invention relates to the technical field of image processing, in particular to a device and method for fish behavior monitoring, and the device comprises a fish body grid construction module, a vertex optical flow tracking module, a compression potential energy calculation module, an energy field thermodynamic mapping module and a swimming mode identification module. According to the method, a triangular topological grid covering the surface of an organism is constructed, a time sequence vertex light flow track is tracked, an affine transformation matrix is used for analyzing the area scaling ratio of a local grid unit in the movement process, and geometric deformation of a visual layer is mapped into a physical potential energy index representing muscle contraction strength; a micro deformation difference is amplified in combination with nonlinear exponential operation, a visual energy distribution thermodynamic map is generated through Gaussian smoothing processing, conduction characteristics of a body high-energy connected region in a space-time dimension are identified, and crossing from pure track observation to biomechanical function evaluation is realized. And the energy consumption efficiency and explosion starting characteristics in different tail swinging modes can be accurately identified.

The invention discloses an air tightness detection tool and method based on multi-sensor fusion, and the tool comprises a detection platform, a nylon imitation block, microphones, pressure sensors and an infrared camera, and the microphones and the pressure sensors are installed and distributed through an installation position array preset on the nylon imitation block. An infrared camera collects a heat map of a nylon imitation block area from the outside, a multi-sensor fusion framework is formed to obtain pressure gradient change, sound wave data and temperature data, and leakage points are analyzed and deduced based on the pressure gradient change, the sound wave data and the temperature data. The microphone and the pressure sensor are installed on the nylon imitation block in a pre-embedded mode, matrix structures are formed respectively to monitor internal sound wave data and pressure gradient change in the airtightness detection process of the to-be-detected workpiece, the infrared camera is adopted outside to collect temperature data, the sound wave data, the pressure gradient change and the temperature data are combined, and the airtightness detection accuracy of the to-be-detected workpiece is improved. And the three-dimensional coordinate of the leakage point is quickly determined.

Provided are intelligent temperature control method and system for die-casting die. Method includes setting target number of groups of temperature control regions and configuring initial temperature determination rule and initial temperature control strategy for each temperature control region; obtaining front-side thermal image of die using infrared camera mounted on both sides of spraying manipulator, and matching the same with CAD drawing of the die to obtain CAD thermal map of die; determining monitoring region on surface of die, and classifying monitoring regions into target number of groups of temperature control regions based on expected temperature requirement of die; calculating temperature value and determining temperature state of each monitoring region based on initial temperature determination rule of each temperature control region and temperature value of each monitoring region, and adjusting temperature of each monitoring region based on initial temperature control strategy of each temperature control region.

A heating, ventilation, and air conditioning (HVAC) system includes a network of wireless remote climate sensors to develop a complete heat map of an enclosed space. The remote climate sensor is configured to collect temperature and humidity data on a zone of the enclosed space. The HVAC system uses a network of these sensors to obtain data points across the enclosed space. The resulting heat map is used by the HVAC system to determine where to direct air in the enclosed space. By comparing the temperature and humidity at a specific remote climate sensor with the user's desired temperature and humidity, the HVAC system can decide whether to increase or decrease the air flow through a variable damper that is located near the remote climate sensor. The disclosed HVAC system provides even comfort to the user along with reduced energy consumption.

The application discloses an intelligent AI detection method based on infrared thermal images and automobile diagnosis, and the technical scheme of the application significantly improves the electric vehicle fire safety detection efficiency through multi-modal data fusion and intelligent analysis, the synchronous collection of double-band infrared and vehicle operation parameters constructs a multi-dimensional data basis, ensures the space-time consistency of thermal radiation characteristics and electrical state, secondly, the dynamic correlation model realizes the accurate triggering of abnormal current to thermal image enhancement, the partition gradient processing combined with dynamic threshold adjustment optimizes the detection sensitivity according to the thermal characteristics of different components, the three-dimensional thermal field reconstruction breaks through the limitation of surface detection, and can identify internal potential hot spots, finally, the closed-loop diagnosis is formed through the intelligent matching of the case library, so that the fault positioning accuracy reaches the component level, and the overall scheme solves the problem that the existing technology only relies on thermal infrared images for electric vehicle fire safety detection, and the contrast of the infrared thermal image is low and the detail resolution is poor.

The invention relates to a rebound-acoustics-based rebound apparatus and a strength detection method thereof.Firstly, a force sensor and an audio acquisition device are integrated in the rebound apparatus, when a rebound test is carried out, the force sensor measures the stress change before and after a spring is impacted, and then the rebound value reading is calculated by calculating the relationship between the spring elongation and the stress; after the test is finished, the magnetic attraction device automatically retracts the spring to ensure that the device can be used for the next test, then the audio acquisition device records a sound signal in each test process, the sound signal is preprocessed through a WaveNet algorithm to remove noise, then features are extracted from the collected sound signal, and the features are extracted from the collected sound signal. And combining the extracted sound features into a feature matrix, analyzing and screening out features highly related to the strength of the building material by using a correlation heat map, and finally inputting a rebound value and the screened sound features into an XGBoost regression model to predict the strength of the building material. The method supports off-line operation and is suitable for rapid detection and evaluation of various hard building materials.

The present disclosure relates to a system, method, and apparatus for mapping the fallout of atmospheric sounding devices such as radiosondes. This technology provides a mechanism for receiving launch data, plotting launch sites, and displaying trajectory heatmaps through a graphical user interface. The system includes features for overlaying concentric range circles, offering interactive timelines, and distinguishing between radiosonde altitudes using color indicators. Additional functionalities enable the display of detailed fallout data, calculation of Circle Error Probable (CEP) for estimating landing sites, and generation of fallout density heatmaps. These capabilities facilitate a comprehensive understanding and management of radiosonde deployment and environmental impact, enhancing the efficiency of meteorological data collection and analysis.

The application discloses a multi-peak decomposition time-resolved Raman spectrum thermal map interactive analysis method and system, and belongs to the field of spectrum analysis. The method comprises the following steps: continuously or time-divisionally collecting a to-be-measured sample to obtain Raman spectrum data corresponding to different time points; preprocessing the original Raman spectrum data; extracting spectral characteristic peaks by using an adaptive peak value recognition algorithm, and performing characteristic peak integral calculation; obtaining time contribution coefficients of different chemical components or characteristic signals in the time dimension by using a multi-peak decomposition algorithm; generating a Raman thermal map in the time dimension according to the characteristic peak intensity and / or the time contribution coefficients; establishing an index mapping relationship between the position of the Raman thermal map and the corresponding time Raman spectrum data; and responding to the interactive operation of the user on the thermal map and displaying the Raman spectrum curve at the corresponding time point in real time. The application can realize visual display, dynamic monitoring and interactive analysis of time sequence data of Raman spectrum, and improves the efficiency and accuracy of Raman signal analysis of dynamic samples.

A kind of power equipment image processing method based on optical fiber bundle imaging, storage medium and system, method is: signal output by infrared fiber bundle is collected by infrared camera pixel matrix, unit in matrix is divided into effective unit and invalid unit, and generate unit division binary matrix data file;Again processing obtains temperature correction matrix data file, temperature segmented point corresponding response value matrix data file, and establish the correction value of response value matrix under different radiation scene;Through numerical fitting and interpolation compensation method, the video stream of optical fiber bundle transmission image is carried out real-time restoration and optimization, completes the inversion from thermal map to temperature field distribution;The present application also includes the storage medium and system of storing the power equipment image processing method based on optical fiber bundle imaging of running this, the present application carries out real-time restoration and optimization to the video stream of optical fiber bundle transmission image by numerical fitting and interpolation compensation method, completes the inversion from thermal map to temperature field distribution.

The invention discloses a fatigue test crack detection method based on thermal imaging. In the periodic fatigue loading process, the surface temperature change of a sample is detected in real time through infrared thermal imaging, and an amplitude diagram and a phase diagram of weak temperature fluctuation are obtained through calculation; segmenting the sample through local phase consistency, prefabricating a gap and a background, and only performing subsequent analysis on a sample area so as to eliminate background interference; after the amplitude diagram is binarized, the boundary displacement influence is eliminated through a simple boundary displacement review strategy and by means of the boundary displacement direction and stress concentration point position relation, complex feature point matching and displacement estimation between images do not need to be conducted through the algorithm, the calculated amount is small, and reliability is high; the crack length is calculated according to the detected movement track of the crack tip feature point, the method does not depend on static crack features, the basic assumption that sample changes inevitably come from damage generation and development is utilized, and crack length evaluation is not affected even if wrong feature points are extracted through single-frame heat map analysis.

In the endoscopic examination support apparatus, the image acquisition means acquires an endoscopic video captured by an endoscope. The lesion detection means detects a lesion candidate from the endoscopic video. The heat map generation means generates a heat map indicating a possibility of lesion of the lesion candidate in the endoscopic video by a color. The display control means displays a position of a lesion on a frame of the endoscopic video based on the lesion candidate and the heat map.

The invention provides a building outer wall hollowing identification method and system based on pulsed eddy current thermal imaging, and the method comprises the steps: enabling a pulsed eddy current excitation device to act on the surface of a building outer wall, applying transient pulsed magnetic field excitation to a metal component in a wall body, and enabling the metal component to sense eddy current and serve as an internal heat source to generate Joule heat; synchronously acquiring the transient pulsed magnetic field excitation by using an infrared thermal imager to obtain a heat map sequence formed by internal heat conduction on the surface of the outer wall of the building, and preprocessing the heat map sequence; and on the basis of the preprocessed heat map sequence, solving a heat conduction inverse problem to reconstruct a wall internal thermal attribute feature map, and on the basis of the wall internal thermal attribute feature map, completing the identification of the building external wall hollowing. According to the invention, deep, accurate, quantitative and automatic detection of building outer wall hollowing is realized, and reliability, efficiency and applicability are obviously better than those of the prior art.

The invention relates to the technical field of infrared thermal wave nondestructive testing, and discloses a method, a system, equipment and a medium for improving an infrared thermal wave nondestructive testing effect. Inputting into a physical information neural network model which takes a physical constraint comprehensive model as a constraint and is trained by adopting a multi-task loss function based on a self-adaptive weight adjustment mechanism to carry out atmospheric error correction, and outputting an infrared correction heat map; inputting the correction result into a pre-trained target detection network model for defect identification, and outputting a defect identification result; by optimizing the excitation mode, the image correction algorithm and the defect recognition algorithm, the influence of atmospheric factors on the accuracy of an infrared thermal wave detection result under a long-distance detection condition is reduced, automatic defect recognition is realized, and technical support is provided for engineering application of an infrared thermal wave technology.

The invention relates to the field of wireless signal detection, in particular to a wireless signal detection method and system fused with thermal imaging. The method comprises the following steps: acquiring wireless signal data and a heat map image sequence, and executing alignment and synchronization processing to generate synchronization feature data; constructing a three-dimensional heat source distribution map and extracting regional features, fusing a heat map gray scale and a signal intensity function to construct a joint feature model, and identifying a suspected device type and a confidence level; and generating a threat score based on a matching result, forming an image auxiliary analysis result in combination with millimeter wave verification and boundary reconstruction, and finally generating a countering control instruction. According to the invention, type identification and accurate positioning of the silent equipment can be realized in a complex shielding environment; a topological graph and a flow structure of wireless equipment are hard-solved through a professional chip; a lazy loading interference mechanism and a white list elimination strategy are adopted, so that the interference efficiency and the system safety are improved; and a thermal imaging means is combined to solve the positioning problem of the last meter.

This invention relates to the field of computer heat dissipation and hardware reliability monitoring technology, specifically to an intelligent heat dissipation and monitoring system and method for chips, comprising: a state decision module, an action correction module, a deviation feedback module, and a closed-loop control module. The invention generates an initial state flow by collecting junction temperature, instruction throughput, and transient voltage drop, and infers a preliminary action flow using a thermal sensing decision engine. Junction temperature data and the preliminary action flow are fed to a cross-domain thermal mapping engine to calculate the thermal response step trajectory to generate a temperature rise trend flow. Based on the safety threshold calculated from the thermal fatigue characteristics of the chip material, over-limit actions are forcibly corrected, and a safe execution flow is output. The difference between the preliminary action flow and the safe execution flow is extracted as a negative penalty term and fed back to the engine reward function. A transient voltage drop calibration pulse modulation signal is acquired, and power supply fluctuations are compensated before driving the heat dissipation hardware. This invention achieves reliable heat dissipation management with self-learning capabilities while ensuring the physical safety of the hardware.

Sensor positioning device for the creation of thermal maps of cooking equipment. One aspect of the invention relates to a positioning device (1) for sensors (2), in which: the mold (3) has an opening (8) and an internal molding surface (6) where measurement points (7) are located, spaced apart from each other; the positioning device (1) comprises a rigid three-dimensional assembly (9) formed of a main conduit (10) and a plurality of cable paths (11) extending inside the mold (3), each cable path (11) having: a first end (11a) communicating with the main conduit (10), and a second end (11b) open; at least one of the measurement points (7) is located within a distance (D) of the second end (11b) of a cable tray (11), said distance (D) being such that 0.1 ≤ (D) ≤ 8 centimetres, preferably close to 2 centimetres.Figure to be published with the abbreviation: Figure 2.

In the endoscopic examination support apparatus, the image acquisition means acquires an endoscopic video captured by an endoscope. The lesion detection means detects a lesion candidate from the endoscopic video. The heat map generation means generates a heat map indicating a possibility of lesion of the lesion candidate in the endoscopic video by a color. The display control means displays a position of a lesion on a frame of the endoscopic video based on the lesion candidate and the heat map.

One or more computing devices, systems and / or methods are provided. In some examples, one or more images of a brain of a patient may be received. One or more anatomic landmarks in the one or more images may be determined. A hemorrhage region in the one or more images may be identified. A normalized hemorrhage map indicative of the hemorrhage region may be generated based upon the one or more anatomic landmarks and the hemorrhage region in the one or more images. A spatial representation of the hemorrhage region may be generated based upon a comparison of the normalized hemorrhage map to a dissimilarity heat map. A treatment plan for the patient may be determined based upon the spatial representation of the hemorrhage region.

The application discloses an interface micro-crack pulse eddy current thermal imaging screening method and a detection system, and belongs to the technical field of material nondestructive detection and evaluation. The method first constructs a digital knowledge base, and establishes a bidirectional mapping relationship between material microstructure parameters, macroscopic physical parameters and thermal imaging characteristic parameters. Then, the detection parameters are inversely optimized according to the state of the component to be detected to enhance the signal. Then, the optimized pulse eddy current excitation is applied, and a thermal image sequence is collected. After extracting multiple thermal characteristics, the uniformity corrosion and interface micro-crack disturbance are separated and identified by using the pattern difference in the knowledge base. Finally, the residual impermeability performance index of the material is calculated according to the mapping relationship. The system includes an excitation, collection and calculation control module to cooperatively realize the method. The application realizes the visualization positioning and morphology characterization of micron-level defects, realizes the accurate discrimination and degree evaluation of the corrosion type, and realizes the leap from defect detection to state evaluation.

This invention discloses a method for visually measuring the wind speed of an airflow field. The measurement method includes six steps: placing a constant-power electric heating plate with a temperature higher than that of the airflow in the path of the airflow to be measured; using a thermal imager to photograph the airflow in front of the constant-power electric heating plate to obtain a thermal image of the temperature distribution of the constant-power electric heating plate during heat exchange; exporting the temperature values ​​from the image; using a hot-wire anemometer to detect the air speed at a specific point; fitting a correlation equation using the temperature and velocity values ​​at the specific point; exporting the temperature and coordinate values ​​of N or all pixels in the temperature distribution image of the electric heating plate, and substituting them into the correlation equation to obtain the velocity values ​​at each point in the airflow field. This allows for a direct visualization of the velocity distribution and range of the measured airflow field. This invention can accurately acquire the velocity field of the airflow, and the method is applicable to the velocity field detection of various complex airflows, and can accurately determine the diffusion range of a gas jet.

The invention relates to the technical field of nondestructive testing of microelectronic devices, in particular to a laser ultrasonic non-contact detection method and system based on polarity characteristics, and the method comprises the following steps: carrying out two-dimensional scanning on the surface of a sample, and collecting a time domain diffraction signal of each scanning point; respectively extracting the polarity of a first diffraction peak in a preset time window from the time domain diffraction signal of each scanning point; calculating polarity space statistical characteristics based on the polarity of each scanning point; and generating a defect probability heat map based on the polar space statistical characteristics. According to the method, the polarity fluctuation characteristic of the first diffraction peak in the laser ultrasonic time domain diffraction signal is extracted and utilized and is converted into the polarity space statistical characteristic, and the defect probability heat map is calculated and generated, so that the limitation that the traditional detection dependent on signal amplitude is easily interfered by laser power fluctuation and mechanical vibration is effectively overcome; and the detection signal-to-noise ratio and the positioning precision for the nano-scale defect of the subsurface layer are obviously improved.

In the endoscopic examination support apparatus, the image acquisition means acquires an endoscopic video captured by an endoscope. The lesion detection means detects a lesion candidate from the endoscopic video. The heat map generation means generates a heat map indicating a possibility of lesion of the lesion candidate in the endoscopic video by a color. The display control means displays a position of a lesion on a frame of the endoscopic video based on the lesion candidate and the heat map.

A method for determining the thermal behavior of a part for production by additive manufacturing using at least one tool, comprising, for a set of points on a trajectory of said tool intended for production, the steps of: - determining (S1) values ​​of a set of primary parameters relating to production by additive manufacturing; - determining (S4, S5) values ​​of a reduced set of dimensionless parameters, as a function of the values ​​of the set of primary parameters and a correlation function linking the dimensionless parameters; - generating (S6) a thermal map for at least one layer of said part, as a function of said dimensionless parameters, the thermal map being recorded in digital format and associating a representative temperature value at these points. Figure for the abstract: Fig. 2

The invention discloses a thermal imaging-based constructional engineering quality nondestructive testing system and method, and belongs to the technical field of constructional engineering quality detection.The system comprises a multispectral thermogram fusion module, a physical constraint deep learning module, a temperature time sequence analysis module and a defect depth estimation module, the system enhances defect features through multi-band infrared thermal image adaptive fusion, carries out defect identification based on a thermal conduction physical equation constraint deep learning network, evaluates the material aging degree through temperature time sequence analysis, and estimates the defect depth based on a thermal diffusion theory. All the modules form a closed-loop cooperation mechanism through confidence feedback and depth prior feedback, continuous optimization of detection performance is achieved, the system can detect hidden defects 15 cm below the surface of a building structure, the detection accuracy reaches 91.3%, and an efficient tool is provided for building engineering quality management.

The application provides a power management chip multi-mode modulation switching threshold setting method and system. Wherein, the method obtains the time-domain thermal map sequence of the chip surface area when the load mutates, generates a thermal diffusion matrix based on the temperature change rate, and combines the infrared sensor array to reconstruct the three-dimensional thermal distribution, extracts the migration path of the temperature extreme point as the hot spot trajectory, and marks the turning point timestamp. At the same time, the impact component sequence synchronized with the timestamp is separated from the output ripple voltage, the singular value decomposition is performed on the thermal diffusion matrix to obtain the matrix characteristic quantity, which is fused with the hot spot trajectory path tensor, and the amplitude-frequency characteristics of the impact component are associated to construct a switching cost function. The local minimum point of the function is continuously updated within the chip running period, and the switching threshold boundary between the BUCK and BOOST modes is dynamically adjusted, and the stability and efficiency of the power management chip under load mutation are improved.

A system for monitoring an ablation therapy may include an ultrasound transmitter to transmit ultrasound signals through a region of tissue during an ablation procedure, an ultrasound receiver to receive the ultrasound signals after the ultrasound signals have passed through the region of tissue, and a signal processor to communicate with the ultrasound transmitter and the ultrasound receiver to obtain a set of measurements related to the ultrasound signals transmitted through the region of tissue during the ablation procedure. The signal processor may determine one or more acoustic characteristics of the ultrasound signals transmitted through the region of tissue based on the set of measurements and generate an image representing a thermal map of the region of tissue during the ablation procedure based on a mapping between the one or more acoustic characteristics of the ultrasound signals and changes in temperature.

The present disclosure relates to systems and methods that utilize machine learning techniques to improve object classification in thermal imaging systems. In an example embodiment, a method is provided. The method includes receiving, at a computing device, one or more infrared images of an environment. The method additionally includes, applying, using the computing device, a trained machine learning system on the one or more infrared images to determine an identified object type in the environment by at least: determining one or more prior thermal maps associated with the environment; using the one or more prior thermal maps and the one or more infrared images, determining a current thermal map associated with the environment; and determining the identified object type based on the current thermal map. The method also includes providing the identified object type using the computing device.

The invention discloses a photovoltaic signal acquisition interference suppression method suitable for a double-glass assembly, and relates to the technical field of photovoltaic power generation, and the method comprises the following steps: S100, constructing a conductive liquid film distribution sensing array on the outer surface of glass of the double-glass photovoltaic assembly, collecting the surface resistance change characteristics of each region, and generating a conductive liquid film resistance thermogram; and S200, establishing a three-dimensional electric field coupling model of the outer surface of the glass according to the heat map, identifying a voltage distortion region, and determining edge nodes with abnormal electric field concentrated distribution characteristics. Corona discharge positioning is realized through conductive liquid film sensing and electric field modeling, an interference path is actively intervened in combination with phase adjustable bias current and a thermal remodeling means, dynamic adjustment and optimization are realized by means of spectral imaging and frequency response, self-learning regulation and control are realized by means of environmental response data and a prediction model, and the method is suitable for large-scale popularization and application. And the signal acquisition stability and safety of the double-glass assembly are improved.

A method of fabricating a heat exchanger using an electrochemical additive manufacturing (ECAM) system comprises determining a set of extension design features for the heat exchanger and electroplating the heat-exchanging extensions in accordance with the set of extension design features. The ECAM system comprises a build plate and a printhead. The heat exchanger comprises a heat-receiving surface for thermal coupling to a heat source and heat-exchanging extensions forming openings for circulating a heat transfer fluid through the heat exchanger. The determining operation is performed based on at least a thermal map of the heat source. The heat-exchanging extensions are designed such that a unit-volume material to space ratio between the heat-exchanging extensions and the openings is different for at least two different portions of the heat-receiving surface during operation of the heat exchanger.