2319 results about "Infra red radiation" patented technology

The invention relates to the technical field of physiological information monitoring, in particular to a non-contact vital sign data monitoring method and system.The non-contact vital sign data monitoring method comprises the following steps that on the basis of a millimeter wave radar sensor, thoracic cavity micro-motion data of a target individual are collected in real time, thoracic cavity motion signals caused by heartbeat and respiration are separated, and the respiration frequency and change are recognized; and breathing mode data is obtained. According to the method, chest micro-motion and infrared radiation data of a target individual are collected and analyzed in real time through a millimeter wave radar sensor and an infrared sensor, accurate monitoring of vital signs is achieved, the abnormal detection threshold value is adjusted in combination with the physiological state of the individual, and the monitoring result fits the actual health condition of the individual; through joint analysis of a plurality of vital signs, comprehensive evaluation of the health state is realized, in combination with health trend prediction, data support is provided for preventive health management and early disease diagnosis, the practicability of a monitoring system is improved, and the application range of a non-contact monitoring technology in a complex environment is expanded.

The invention provides an unmanned aerial vehicle infrared target positioning system fusing multi-model Kalman filtering and deep learning, and relates to the technical field of unmanned aerial vehicle navigation and positioning. The main body system comprises a data acquisition module, a multi-source data fusion module, a feature extraction enhancement module, a dynamic model optimization module, a target state estimation module, a positioning calculation module and a flight decision planning module, and the data acquisition module is provided with a high-resolution infrared sensor and accurately captures target infrared radiation information; a high-definition vision camera and a high-precision laser radar are integrated at the same time, environment data are collected in an omnibearing mode, and the data collection module can collect the environment data according to the environment complexity and the real-time change of the target motion state by adopting a self-adaptive sampling strategy based on fuzzy logic, particle swarm optimization and a self-adaptive threshold value. And the sampling frequency and the resolution of the sensor are dynamically and intelligently adjusted.

The present disclosure discloses an infrared thermal imaging defect detection method and apparatus for a substation insulator. An infrared module is bidirectionally connected to a core computing module, and an infrared module is unidirectionally connected to a high-rate battery. The core computing module is unidirectionally connected to a touch screen. The infrared module is configured to obtain infrared radiation information through a lens, and calculate and generate a temperature distribution video. The method includes infrared video acquisition, thermal region segmentation, device type determination, key temperature information extraction, defect diagnoses, result display and result saving.

The invention discloses a rapid simulation method for infrared radiation characteristics of an aero-engine exhaust system based on a radial basis function neural network, and belongs to the technical field of aero-engines. The method comprises the steps of establishing an aero-engine exhaust system geometric model; flow field calculation is carried out, and aero-engine exhaust system infrared radiation characteristic simulation flow field parameters are obtained; calculating intrinsic infrared radiation characteristics of the aero-engine exhaust system; calculating the infrared radiation characteristics of the coupling background environment infrared radiation and the atmospheric effect of the aero-engine exhaust system; constructing a nonlinear association database; and training the RBF neural network model to obtain the RBF neural network-based aero-engine exhaust system infrared radiation characteristic rapid simulation model. According to the method, the remarkably improved calculation precision and the abundant and clear distribution details of the infrared radiation brightness are replaced by the acceptable additional calculation amount.

An intelligent drone system for surveying and monitoring construction sites and industrial areas, consisting of: an AI processor for processing and analyzing data from multiple sensors, including LiDAR, thermal imaging, and high-resolution cameras, a laser-based distance measurement sensor for generating high-resolution 3D maps of the surveyed environment for topographic accuracy and real-time obstacle detection to improve navigation safety. a heat detection sensor for capturing infrared radiation to detect thermal anomalies that may indicate potential device or structural problems. an optical imaging system to provide detailed visual documentation of the surveyed construction site, where: The optical imaging system captures high-quality images to support inspections and monitoring, complements LiDAR and thermal data, provides a visual context for the captured data, and enables reporting for project tracking and compliance.

The invention relates to the technical field of gas leakage detection, and discloses an infrared imaging radiation correction method and system for gas leakage detection, and the method comprises the steps: obtaining the distribution data of dark current noise, and the mapping relation parameters of an image gray value and a radiation brightness value; acquiring infrared radiation of the gas leakage scene by using an infrared detector to obtain an original infrared image; based on the distribution data of the dark current noise, performing pixel-by-pixel compensation on the original infrared image to generate an infrared image after dark current correction; extracting the radiation intensity distribution of the infrared image after dark current correction, calibrating the radiation value of each pixel in the infrared image based on the mapping relation parameter between the image gray value and the absolute radiation brightness value, converting the image gray value into the absolute radiation brightness value, and generating the infrared image after radiation calibration; and outputting an infrared image after radiometric calibration for subsequent gas leakage area identification and feature analysis. According to the invention, a high-quality and quantifiable radiation quantification image can be output.

The invention relates to the technical field of driving assistance, and provides a multi-dimensional pixel fusion method for environmental perception and a storage medium, and the method comprises the steps: carrying out the coordinate unification and time sequence alignment of the detection data of all sensors based on the different types of obstacle data collected by different sensors, the image and the radar data are subjected to pixel-level real-time'time-space alignment and synchronization 'and are output in a'multi-dimensional pixel' format through splicing and fusion. And multi-mode accurate sensing information of the target and the environment is provided for an automatic driving system, including comprehensive sensing of visual data of the sensor for sensing the target and the environment, 4D millimeter-wave radar data and infrared radiation data, so that accurate recognition of target obstacles in various driving scenes is realized, and the driving safety is improved.

A device, and method for its use, which may be worn by a firefighter for detecting the source of a fire in a smoke-filled or noisy environment, the device having directional infrared sensors for detecting the direction of maximum or minimum intensity of infrared radiation in two or more directions relative to the wearer and reporting at least the direction of maximum or minimum intensity to the wearer by a tactile indicator contacting the skin of the wearer.

The invention provides a smart home intrusion accurate identification and early warning method based on multi-sensor fusion, and relates to the field of intrusion early warning, and the method comprises the steps: firstly obtaining the time sequence distribution of a home switch state and the time sequence distribution of an infrared radiation value, and carrying out the time sequence coding and interaction analysis, so as to obtain a switch-moving state time sequence interaction feature; and then a time sequence of a monitoring image frame is acquired to carry out movement behavior global analysis, and movement behavior analysis is carried out in combination with switch-movement state time sequence interaction characteristics, so that the confidence level is evaluated, and a three-level response mechanism of high-confidence intrusion immediate alarm, medium-confidence artificial review and low-confidence log recording is realized. Thus, the misjudgment problem of a traditional method is solved, the accuracy and environmental adaptability of intrusion recognition are remarkably improved, meanwhile, the user experience is optimized through hierarchical response, and security real-time performance and operation friendliness are both considered.

The invention provides a gas concentration detection device and method, and relates to the technical field of acoustic spectrum gas detection. The device comprises an MEMS infrared radiation light source, an eccentric photoacoustic cell, a digital MEMS microphone and data acquisition and processing equipment, the eccentric photoacoustic cell comprises a cylindrical air chamber, a first spherical reflector, a second spherical reflector and a shell, and an eccentric hole is formed in the position, deviating from the axis, of the first spherical reflector; infrared light emitted by the MEMS infrared radiation light source enters the cylindrical gas chamber, passes through a preset optical path and is absorbed by gas to be detected in the cylindrical gas chamber to generate a photoacoustic signal; converting the photoacoustic signal into a digital signal; determining the concentration of the to-be-detected gas based on the digital signal; wherein the preset optical path is determined based on the distance of the eccentric hole deviating from the axis and the curvature radius of the first spherical reflector and the curvature radius of the second spherical reflector. According to the gas concentration detection device and method provided by the invention, the detection precision of the concentration of the gas to be detected can be improved.

The invention relates to the technical field of welding parameter correction, and provides a welding parameter correction method for real-time molten pool morphology feedback, which comprises the following steps of: capturing a molten pool image, an arc spectrum and an infrared radiation signal in real time, accurately extracting geometrical characteristics and contour vibration frequency of a molten pool, and dynamically evaluating arc stability and a thermal attenuation state. And when defects are detected, welding parameter correction is generated based on a process knowledge graph and Bayesian reasoning, collaborative correction of parameters such as welding current, welding voltage and welding speed is achieved through reinforcement learning optimization weight distribution, and the change trend of morphology characteristics of a molten pool is continuously monitored after correction. According to the method, the depth belief network is judged and optimized by combining the descending rate of the morphology defect probability, and the corrected successful case is supplemented to the process knowledge graph, so that the welding quality stability is remarkably improved, the method is particularly suitable for automatic production of a high-precision welding scene, the defect rate can be effectively reduced, and the production efficiency can be effectively improved.

A change of state of weed seeds to having reduced germination viability in under one minute by illuminating a seed with at least one of 2 J / cm2 cumulative illumination energy, and 0.2 W / cm2 irradiance, but no more than 7 W / cm2 average irradiance, of at least one of an Indigo Region Illumination Distribution (IRID), and infrared radiation that is substantially Medium Wavelength Infrared (MWIR) radiation, preferably 2-8 microns. The MWIR radiation from heated borosilicate glass or glass powder at just under 500 C offered a peak MWIR emission of 3.75 microns was unexpectedly effective, and can be used in a radiant and transmissive weed seed accumulator transport belt. The process can be incorporated into a harvester combine to convert a tailings flow prior to discharge on an agricultural field. An illuminated harvest combine using an illuminator according to the invention allows reduction of the weed seed bank.

The invention relates to the technical field of thermal insulation materials, and discloses a hollow glass bead as well as a preparation method and application thereof. The hollow glass beads are prepared from the following components in percentage by weight: 40 to 65 percent of silicon dioxide, 5 to 15 percent of boron oxide, 5 to 15 percent of sodium oxide, 2 to 8 percent of cuprous oxide, 1 to 5 percent of barium oxide, 2 to 10 percent of chromic oxide, 3.5 to 7.5 percent of nickel oxide, 1.5 to 3 percent of tin oxide and 1 to 5.5 percent of silicon carbide. Cuprous oxide, barium oxide and chromic oxide have high reflection coefficients, and heat absorption of buildings can be reduced; nickel oxide, tin oxide and silicon carbide have high radiation coefficients, heat can be dissipated into outdoor air in an infrared radiation mode, and therefore the temperature of the outer surface of a building is reduced. Cuprous oxide can significantly improve the surface cleanliness of the coating and enhance the thermal insulation performance of the coating.

The invention provides an autonomous detection robot for the interior of a fan blade based on multi-modal sensing, and relates to the technical field of fan blade interior detection, and the robot comprises a multi-modal sensing module which is used for synchronously collecting an ultrasonic echo signal, a thermal infrared radiation signal and a structural strain signal of the interior of the fan blade; the detection advancing module is used for realizing full-area coverage movement of the detection robot in the fan blade based on a magnetic adsorption flexible coupling crawler belt; the autonomous navigation module is used for generating an optimal detection path based on the fan blade three-dimensional structure model and the robot point cloud model; and the blade damage evaluation module is used for generating a fan blade damage grade report through comparison and analysis of a digital twinborn model based on the ultrasonic echo signal, the thermal infrared radiation signal and the structural strain signal. According to the invention, the multi-modal sensing module synchronously collects multiple types of signals to realize multi-dimensional sensing of the internal damage, and the problem that the traditional method cannot monitor the internal damage in real time is solved.

The invention provides a coal gangue identification method and system based on thermal imaging and multivariate spectrum combination, and relates to the technical field of coal gangue qualitative and quantitative identification, and the method comprises the steps: obtaining the infrared radiation data of to-be-identified coal gangue and the spectral reflection data of a plurality of wavebands; preprocessing the infrared radiation data and the spectral reflection data; extracting edge morphological characteristics and temperature characteristics from the infrared radiation data, and extracting spectral reflectivity characteristics under different wavebands from the spectral reflection data; fusing the temperature features, the edge morphological features and the spectral features through multi-modal feature fusion; and inputting the fusion features into a coal gangue identification model to obtain a classification result of coal and gangue. According to the method, more comprehensive and accurate characteristics are constructed by utilizing the differences of the coal and the gangue in spectral characteristics and temperature distribution, the accuracy and the stability of identification are improved, and the accuracy and the reliability of coal and gangue identification are greatly improved by utilizing complementarity of multi-source information.

The invention discloses a radiation refrigeration coating and a preparation method thereof. The radiation refrigeration coating comprises a first filler and a second filler, the mass ratio of the first filler to the second filler is (1-3): (1-5), and the first filler comprises the following components in percentage by weight: 50-70% of a polyurethane emulsion, 10-15% of a silane coupling agent, 8-10% of multi-mesoporous nano-silica and 5-8% of talcum powder; the second filler comprises the following components in percentage by weight: 60%-70% of polyethylene glycol, 10%-15% of a dispersing agent and 5%-8% of nano barium oxide; 5%-8% of tannic acid; 3%-5% of nano silver; the viscosity of the polyurethane emulsion ranges from 300 cps to 800 cps. The radiation refrigeration coating disclosed by the invention has the advantages that a refrigeration film has larger infrared radiation refrigeration capacity in an atmospheric window, better ultraviolet light absorption capacity and long service life.

The invention is an apparatus for amplifying cooling through interaction with electromagnetic radiation for optical of objects and / or object surfaces with essentially three layers, which are a bottom layer that is comprised of a single or multi layered material configured to emit IR radiation; a middle layer that is comprised of a single or multi layered material configured to respond in anti-Stokes fluorescence upon absorption of electromagnetic radiation; and a top layer that is comprised of a single or multi layered material configured to reflect selected spectral band(s) and / or amplify selected spectral band(s) of the electromagnetic radiation transmittable to the middle layer.

A thermal imaging camera includes a housing, a front bracket, an infrared assembly for detecting infrared radiation, and a visual assembly for receiving visual radiation. The infrared assembly and the visual assembly are disposed substantially within the housing. The camera further includes at least one cooling element for cooling at least the infrared assembly. The camera also includes a positioning device configured to position the visual assembly to the infrared assembly.

The invention discloses a condensation-free efficient heat exchange control method and system for a full-premixing water heater, and the method comprises the steps: collecting the multi-source information, such as air inlet temperature, humidity, gas flow, flue gas oxygen concentration and wall temperature, in real time, calculating a predicted dew point based on a dynamic dew point prediction model, and setting a dynamic safety boundary; the condensation risk is judged by comparing the wall temperature with the safety boundary, and active intervention is carried out in a staged cooperation mode that fuel gas and air volume are continuously adjusted firstly and then a partial combustion zone sectioning valve is rapidly turned off; the system comprises a main controller, a mesh-shaped infrared radiation burner, a sectional valve assembly, a gas proportional valve, a frequency conversion fan and related sensors. According to the invention, the system runs close to the condensation boundary through intelligent control, and the advantage of high operation heat efficiency is realized on the premise of ensuring high reliability.

There is provided a method for inspecting still hot glass containers. The method includes, for each container, acquiring at least one transmission image of the container illuminated by a source of a light passing through the container and at least one infrared radiation image of the container. The method also includes analyzing at least one transmission image and at least one infrared radiation image and ensuring a matching of at least part of the transmission image and at least part of the infrared radiation image. The method also includes classifying the container, from at least one transmission image and at least one infrared radiation image, matched with each other, in order to identify, for a container, at least one type of defect.

Apparatuses and methods for drying objects are provided. The apparatus can comprise a housing configured to provide an airflow channel having an airflow inlet and an airflow outlet, an airflow generating element configured to generate an airflow through the airflow channel, and one or more radiation energy sources configured to generate infrared radiation and direct the infrared radiation toward an exterior of the housing. A device controller can control the operation of the airflow generating element and the one or more radiation energy sources, and a power element controller in connection with the device controller can control the operation of the power element that can provide power at least to the radiation energy source and the airflow generating element.

An arrangement for tracking a position of an individual's eye comprises: (a) a frame mountable on a head of an individual; (b) at least one visually transparent element mounted within the frame in a the field of view of an eye of the individual; (c) at least one infrared light source configured for emitting an infrared light beam; (d) an image sensor configured for capturing images of the eye; (e) a processing unit configured for controlling the infrared light source and the image sensor and detecting a pupil position and a corneal reflection within images captured the at least image sensor. The transparent element comprises a spectrally-selective layer configured for reflecting the infrared beam. The visually transparent element is configured for selectively directing the infrared beam onto the eye and directing an infrared radiation reflected from a pupil and cornea of the eye to the image sensor.

The invention discloses an infrared radiation intensity prediction method, device and system and a storage medium, and relates to the technical field of electric digital data processing. The method comprises the following steps: establishing an engine flow field grid model and performing grid division; acquiring test data of the engine, setting boundary conditions, and performing flow field simulation calculation to obtain a temperature field cloud picture; acquiring temperature field data, and performing infrared simulation calculation to obtain infrared radiation intensity data; constructing a training parameter sample of the BP neural grid model, training the BP neural grid model until a preset threshold value is met, and obtaining a trained BP neural grid model; and performing infrared radiation intensity prediction through the trained BP neural grid model. According to the embodiment of the invention, while the precision is ensured, the calculation amount is reduced, and the calculation efficiency is remarkably improved; stronger generalization ability is achieved, and the prediction accuracy under complex working conditions is improved; the coupling effect can be reflected more accurately; and the reliability and comprehensiveness of test verification are improved.

The invention provides a control method for automatically collecting and eliminating target infrared characteristics, and relates to the technical field of target infrared characteristic elimination, and the method comprises the steps: obtaining real-time target and environment infrared data of a target of which the infrared characteristics are to be eliminated, carrying out the noise reduction processing, and obtaining continuous infrared spectrum data through spectrum integration; according to each environment background temperature, temperature adjustment is performed on each target surface, wavelet transform is performed on infrared spectrum data to obtain the temperature rise characteristic of the target, parameter optimization is performed on temperature adjustment, and region classification is performed on the adjusted target region to obtain a target region classification result. And carrying out smooth temperature adjustment on the classification areas exceeding the judgment threshold according to the temperature of the centers of the classification areas, calculating the phase, frequency and amplitude of an interference radiation spectrum according to the difference value between the real-time infrared radiation distribution data of the target and the environment and the position of a radiation interference source, adjusting interference waves, and eliminating the infrared characteristics of the target according to the interference principle.

The invention provides a multispectral radiation temperature measurement method and system, and belongs to the field of signal acquisition and processing in an infrared radiation temperature measurement technology. The problems of poor inversion precision and applicability of multispectral radiation temperature measurement are solved. The multispectral radiation temperature measurement method comprises the following steps of: measuring radiation information of the surface of a to-be-measured target by using a multi-wavelength pyrometer; the beam splitting system obtains radiation information of different spectrum channels; photoelectric conversion: converting the optical signal into an electric signal; constructing a target equation and a constraint optimization condition according to the brightness temperature model; carrying out multispectral data processing by utilizing an improved multi-population mixed pigeon inspired optimization algorithm; and the final real temperature and emissivity values are obtained. The device is mainly used for multispectral radiation temperature measurement.

The invention discloses an intelligent temperature monitoring method and system based on an infrared thermometer, and relates to the technical field of optical detection, and the method comprises the steps: S1, obtaining an infrared radiation signal, collected by the infrared thermometer, of a target object; s2, the collected infrared radiation signals are preprocessed, and background noise is removed; s3, adjusting parameters of the infrared thermometer in real time based on the ambient light intensity change; s4, converting the preprocessed infrared radiation signal into a temperature value; s5, comparing the temperature value with a preset temperature threshold value, and giving an alarm according to a comparison result; according to the intelligent temperature monitoring method and system based on the infrared thermometer, the problem of background noise influence caused by optical interference under the condition of large ambient light intensity change in the prior art is solved.

The invention provides a substation safety intelligent monitoring method based on infrared binocular vision, which comprises the following steps: acquiring an infrared radiation image, a visible light image and environmental parameters of equipment, and accurately inverting the real temperature of the equipment after eliminating environmental interference in combination with a depth distance calculation and physical compensation model; a historical time sequence of a real temperature is used to construct a multi-dimensional state vector fusing a thermal feature, a spatial feature and an environment feature, and intelligent classification evaluation of the security risk of the transformer substation is realized through an improved decision tree model. Meanwhile, a time sequence prediction model is introduced to predict the temperature rise trend of the equipment, the remaining time for reaching an early warning threshold value is calculated, and a dynamic grading early warning report is generated. According to the method, the temperature measurement precision and the risk identification accuracy are effectively improved, early warning and active prevention and control of the operation state of the equipment are realized, and the operation safety and the intelligent operation and maintenance level of the transformer substation are remarkably improved.

The invention discloses a method for calculating the infrared radiation intensity of an aerial point source target, and the method comprises the steps: calibrating an infrared detector, determining the response gain coefficient and the pixel offset of each pixel of an infrared image through the calibration, and constructing a response gain coefficient matrix and a pixel offset matrix; determining the radiation brightness of each pixel point of the aerial measured point source target projection area image according to the response gain coefficient and the pixel offset; the step of determining the projection area of the detected point source target in the air is an effective projection area of the detected point source target in the air, the point source target infrared radiation intensity calculation method is improved, the precision of the calculation method is improved, and the calculation efficiency is improved. The method has the characteristics of high operability and wide applicability, and can be used as a universal method for calculating the infrared radiation intensity of the aerial point source target.

A cover for an infrared detector and a method of fabricating the cover are disclosed. The cover comprises a wafer comprising a material such as silicon that transmits infrared radiation. The wafer has a first surface and a second surface opposite the first surface. An antireflective region is formed in the wafer to enhance transmission of infrared radiation through the cover. The antireflective region comprises a first plurality of antireflective elements such as moth-eyes formed in the first surface. The first plurality of antireflective elements are sized and shaped and arranged relative to one another to form a region of graded refractive index at the first surface so as to reduce the amount of infrared radiation reflected by the cover at the antireflective region. The cover comprises a wall extending from the first surface and surrounding the antireflective region. The wall comprises a plurality of layers of material deposited on the wafer so that, when the cover is bonded to a sensor substrate via the wall, a cavity is formed that encapsulates a sensor region of the sensor substrate. The depth of the cavity may be adjusted by depositing the plurality of layers of material with a combined thickness equivalent to the desired depth of the cavity. A second plurality of antireflective elements may be formed in the second surface to enhance the antireflective properties of the antireflective region.

The invention provides a microwave-transmitting and infrared-compatible low-emissivity coating, and belongs to the technical field of camouflage materials. The microwave-transmitting and infrared-compatible low-emissivity coating is of a double-layer structure composed of a bottom microwave transparent layer and a surface infrared functional layer. The microwave transparent layer is made of hollow dielectric microbeads and polyvinylidene fluoride; the infrared functional layer is made of modified flaky aluminum powder, modified hexagonal boron nitride nanosheets and polyvinylidene fluoride. The microwave-transmitting compatible infrared low-emissivity coating provided by the invention has an infrared radiation inhibition effect in two atmospheric window wave bands of 3-5 microns and 8-14 microns, and has high transmissivity in an electromagnetic wave band of 2-18 GHz; the method is especially suitable for the scenes, such as stealth unmanned aerial vehicles, ship decks and 5G base station shells, where infrared characteristics need to be suppressed and microwave signal transmission needs to be kept at the same time.