232 results about "Radiant intensity" patented technology

The invention provides an electron irradiation dose on-line measurement and feedback calibration system and method, and relates to the technical field of automation control, and the system comprises a processing module which is used for converting an original dose signal into a five-path digital reading sequence, carrying out the timestamp alignment and space coordinate calibration of the five-path digital reading sequence, and outputting a calibration result; generating a three-dimensional discrete coordinate data set representing radiation field intensity space distribution; and the extraction module is used for identifying a radiation intensity global maximum value point from the three-dimensional discrete coordinate data set as a spatial registration origin, extracting two feature straight lines representing a radiation scattering dominant direction, and calculating a spatial orientation included angle between the two feature straight lines to determine a radiation scattering main influence area. According to the invention, precise processing of an original dose signal, scientific positioning of a radiation influence area and construction of a dynamic compensation model are realized through cooperation of multiple modules, a high-confidence dose value can be output, feedback calibration is completed based on a time sequence drift trend, and the precision and reliability of on-line measurement of the electron radiation dose are effectively guaranteed.

The invention discloses a three-dimensional combustion multi-parameter field inversion method based on two-dimensional infrared imaging and hyperspectral light field imaging, and belongs to the technical field of flame combustion detection. The invention aims to solve the problem of low reconstruction precision caused by limited spontaneous radiation information and poor low-temperature region signal sensitivity in the existing combustion flow field temperature field reconstruction. Comprising the following steps: obtaining a flame two-dimensional infrared temperature distribution image and a flame hyperspectral light field image; a two-dimensional blackbody radiation intensity curve and a three-dimensional blackbody radiation intensity curve are obtained through calibration according to the blackbody radiation law; combining the corresponding image gray values to obtain two-dimensional infrared radiation intensity, three-dimensional visible radiation intensity and three-dimensional infrared radiation intensity; determining a temperature threshold value of the high-temperature area; constructing a multispectral radiation source term matrix equation, and reconstructing a three-dimensional temperature field; obtaining a separated flame hyperspectral light field image, and reconstructing a low-temperature region and a reconstructed temperature field; and combining with a high-temperature region reconstruction temperature field to obtain a whole temperature field. The method is used for three-dimensional combustion multi-parameter field inversion.

The invention relates to a non-Lambert surface emissivity inversion method, belongs to the technical field of infrared optical measurement and radiation modeling, solves the technical problems of low precision and poor model stability of non-Lambert surface emissivity inversion, and comprises the following steps: measuring original radiation intensity of a non-Lambert surface of a to-be-tested material in different emergent directions; converting the original radiation intensity into directional reflectivity; on the basis of the generalized Lorentz function, diffuse reflection background items are superposed, and a physical prior model is constructed; physical constraint is carried out on the physical prior model parameters; the parameter residual network generates a parameter field, and the parameter field is input into the optimized physical prior model; and carrying out hemispherical integration, and converting the directional reflectivity into directional-hemispherical emissivity. The device and the method are used for infrared thermal imaging measurement, material radiation characteristic characterization and engineering detection in a complex environment.

The application provides a kind of dual-band infrared temperature measurement method and temperature monitoring method and computing device, the method comprises: determining the wavelength range corresponding to first temperature interval and second temperature interval, the first temperature interval and the second temperature interval include first temperature, second temperature and third temperature, the first temperature and the second temperature determine the first temperature interval, the second temperature and the third temperature determine the second temperature interval;Select fourth temperature in the first temperature interval and the second temperature interval;At the fourth temperature, change wavelength in the wavelength range, obtain the relationship curve of radiation intensity and radiation wavelength;Determine the selected wavelength on the relationship curve;The selected wavelength is used for the temperature measurement of the first temperature interval and the second temperature interval.According to the technical scheme of the application, more accurate dual-band measurement temperature is realized.

The invention provides an air motion weak point target detection method and system based on an infrared sequence image. The method comprises the following steps: obtaining an infrared sequence image with at least one moving target; the infrared sequence image comprises frame radiation intensity diagrams with continuous time, and the frame radiation intensity diagrams are positive integers greater than 1; processing the frame radiation intensity graph to obtain a frame difference mean value graph; calculating to obtain an optimal segmentation threshold value through a maximum between-class variance method by utilizing the difference mean value diagram; taking the optimal segmentation threshold as a threshold, and performing binarization processing on each differential mean image to obtain a frame candidate point binary image; in the candidate point binary image, a pixel point with a pixel value of 1 is a target position candidate point; adding all the candidate point binary images to obtain a candidate point aggregation image with all the target position candidate points; and obtaining a linear motion track of each moving target based on the target position candidate points in the candidate point aggregation graph.

This invention discloses a method and system for detecting wall radiation information through flame penetration. The method determines the radiation wavelength range, and within this range, establishes a wall radiation intensity detection model and a flame radiation intensity detection model, showing the distribution of wall radiation intensity and flame radiation intensity with radiation wavelength. It also obtains the radiation wavelength λ when the wall radiation intensity equals the flame radiation intensity. eq The peak wavelength λ when the wall radiation intensity is at its maximum. max When the radiation wavelength λ eq Less than the peak wavelength λ max At that time, the wavelength for detecting wall radiation information is the peak wavelength λ. max When the radiation wavelength λ eq Greater than the peak wavelength λ max At that time, the wavelength for detecting wall radiation information is the radiation wavelength λ. eq The wall radiation information is detected according to the detection wavelength determined above. The present invention finds a suitable band range for wall radiation detection by accurately quantifying wall radiation and flame radiation, and can obtain wall radiation information by penetrating the flame.

The invention provides a power grid equipment monitoring method and system based on multi-source satellite power grid image data processing, and the method comprises the steps: firstly obtaining heat radiation temperature data and contour data of equipment from an infrared satellite and a visible light satellite, and carrying out the time-space synchronization processing; secondly, extracting temperature gradient distribution information from the heat radiation temperature data, and identifying and sequencing local overheating areas in combination with radiation intensity difference; enhancing equipment contour edge identification according to the sequence to obtain an enhanced contour image; superposing the data with thermal radiation temperature data, and extracting comprehensive distribution characteristics to determine an initial fusion weight; identifying a temperature distribution imbalance region, evaluating the reliability of the two types of data sources, and adjusting the weight in combination with the operation state of the equipment to obtain a final ratio; the two types of data are weighted and fused according to the proportion, and a final temperature distribution image is obtained through temperature field distortion correction; and extracting the geographic position of the overheat area and mapping the geographic position to the equipment layout diagram to complete power grid equipment thermal anomaly monitoring. Through the scheme of the invention, the thermal anomaly of the power grid equipment can be monitored.

The invention relates to the technical field of irrigation prediction, in particular to a soil moisture content-based irrigation water consumption prediction method. According to the method, the water consumption rate is calculated by synchronously obtaining the photosynthetic radiation intensity and the matrix water content in a sliding time window; determining a load index representing moisture extraction resistance based on a mean ratio of radiation to consumption rate, and constructing a fluctuation transmission index reflecting matrix hydraulic connectivity based on a ratio of variation coefficients of the radiation and the consumption rate; combining the two indexes to generate a hydraulic blocking risk coefficient for identifying recessive drought caused by capillary fracture; and finally, predicting the actual water demand according to the risk coefficient and the preset maximum irrigation amount. According to the method, physiological regulation of crops and physical water shortage of the substrate can be effectively distinguished, the judgment accuracy of the microcosmic hydraulic communication state of the substrate is remarkably improved, then irrigation water consumption prediction is more targeted and timeliness, and mistaken irrigation or leakage irrigation is avoided.

The invention relates to the technical field of interference suppression, in particular to an electromagnetic compatibility optimization method and system for a ship shaft frequency converter, and the method comprises the steps: carrying out the term-by-term judgment of sensitive interference energy, current errors and switching loss after the discretization and jump limitation based on a frequency sequence, and screening out a boundary-crossing sequence, the genetic algorithm executes cross combination and amplitude superposition in the residual sequence, a new frequency set is formed through transformation and rearrangement, frequency points are distributed in a plurality of intervals to be reorganized, the switch state is predicted and updated one by one through Kalman filtering, observation residual errors are corrected in real time, and the frequency points are reorganized. The harmonic distortion rate, the radiation intensity and the instruction change amplitude are synchronously output by taking the time index as a sequence, the deviation is compensated at the amplitude and phase level, the harmonic index and the radiation index are controlled in an agreed range, the switching loss and the instruction change are within threshold values, and a complete closed loop covering frequency generation, harmonic correction and sequence updating is formed.

The application belongs to the technical field of zinc powder purification, and provides a condensation and sedimentation system for zinc powder purification, which comprises the following steps: collecting a time sequence of original radiation intensity of a condensation chamber, performing frequency spectrum analysis through fast Fourier transform, calculating energy values of high and low frequency band frequency domain signals, solving a signal coherence factor and calculating a transmittance attenuation coefficient, constructing a metal thin film radiation compensation model based on a long short-term memory network, inputting the attenuation coefficient and the time sequence of original radiation intensity to output a corrected real temperature of the condensation chamber, expanding an inference layer of a full connection neural network structure, outputting a calibrated attenuation coefficient through the inference layer, selecting an effective attenuation coefficient input model by comparing a deviation threshold value, dynamically responding to temperature measurement nonlinear attenuation caused by zinc film deposition, guaranteeing production continuity and product quality of zinc powder purification, adapting to industrial multi-working condition operation requirements, being convenient to operate and controllable in cost.

This utility model discloses a radiation detection device. The device includes: a signal control module connected to the object under test, used to output a current to the object under test after a set delay, causing the object to emit a radiation signal; a detection module connected to the signal control module, used to detect the radiation signal emitted by the object under test in at least one set wavelength band, and input the detection data into the signal control module; and an industrial control module connected to the signal control module, used to receive the detection data after a set delay and convert it into radiation intensity information. This utility model embodiment improves the accuracy of radiation detection.

The invention discloses a plasma welding auxiliary device for water pump shell production, and relates to the technical field of welding auxiliary equipment. The air pressure difference data, the weight data and the tension data are simultaneously collected through the analysis module, and the actual mass of the filtered matter on the surface of the filter screen is accurately calculated in combination with the weight change of the residue collection box after shutdown, so that compared with a traditional judgment mode which only depends on the air pressure difference, the interference factor of'abnormal air pressure difference caused by airflow fluctuation 'can be eliminated, and the judgment accuracy is improved; the air pressure difference change caused by unit filtering capacity is calculated, the threshold value is not a fixed value and is dynamically adjusted according to historical filtering data, and misjudgment caused by working condition change is avoided; and the analysis module incorporates four parameters of light radiation intensity, gas flow rate, temperature and humidity into a sterilization rate formula, when abnormity occurs in the welding process, the abnormity of the sterilization rate can be found in time, the required light radiation intensity is calculated and adjusted, and the sterilization rate is guaranteed.

The application provides an infrared image super-resolution method based on physical guidance visual autoregression. A physical encoder is constructed to extract a temperature field, a radiation intensity field, a thermal gradient field and a thermal diffusion field from a low-resolution image to form a multi-branch physical prior representation; a physical guidance scale-by-scale autoregression generator is designed to embed the physical prior as a condition into an image encoder, to modulate the rotation position coding constraint space relationship through the temperature gradient, and to introduce a physical condition cross-attention mechanism to promote the feature interaction of the thermal similar areas; and a physical consistency verification layer is established to implement a temperature range hard constraint, a radiation energy conservation soft constraint and a thermal diffusion smooth structure constraint. The method effectively solves the problem of physical inconsistency caused by the visual autoregression model ignoring the infrared physical characteristics, significantly improves the temperature accuracy, energy conservation and physical consistency of the reconstructed image, and is suitable for infrared accurate temperature measurement, thermal radiation quantitative analysis and thermal target detection and identification scenes.

The invention relates to the technical field of solar simulation adjustment, and discloses an intelligent controllable method and system for simulating dynamic change of solar radiation. Long-term irradiation data are obtained from a database and a local weather station and fused, the discontinuity of the daily boundary is overcome by applying a circumferential mapping and clustering method, and the maximum daily radiation intensity, the typical sunrise moment and the sunset moment of each month are obtained; on the basis, constructing an attenuation model taking a monthly typical value as a benchmark, introducing random disturbance and physical constraints conforming to meteorological statistical characteristics, generating intra-month daily simulation parameters, further utilizing a trigonometric function improvement model to dynamically represent the daily simulation parameters of the current month as target irradiation intensities at all moments, standardizing the target irradiation intensities and mapping the target irradiation intensities into command control quantities, and calculating the target irradiation intensities. Precise reproduction of the natural solar radiation curve by the illumination intensity is realized; then actual light intensity is detected through an irradiation sensor, execution errors are calculated, control action quantity is generated in real time through a PID control law, and finally execution quality is evaluated through a control action quantity sequence.

This invention relates to the field of image sensing data processing and discloses a method for diagnosing the thermal environment of blue-green spaces in cold-region cities based on multispectral remote sensing. The method includes the following steps: acquiring multispectral remote sensing images, three-dimensional building elevations, and solar apparent shape parameters; calculating the illumination shading coefficient of blue-green space pixels to form a three-dimensional dynamic shadow mask; constructing a microscopic phase transition evolution operator using the sensitivity gradient of radiation intensity in different polarization directions and mid-infrared reflectivity; inputting the mask and operator into the thermal infrared radiation measurement equation to reconstruct the dynamic surface temperature; solving the surface energy balance equation based on the dynamic surface temperature, separating the latent heat storage of phase transition energy, and constructing a latent heat buffer index; and performing a comprehensive diagnosis of the thermal environment health based on this index. This invention effectively overcomes the temperature measurement errors caused by complex shading and phase state interweaving, accurately isolates the latent heat energy of phase transition, and achieves precise positioning and objective quantitative diagnosis of microclimate anomalies in cold-region cities.

This invention discloses a method for extracting orthogonal radiative eigenmodes in lossy structures. For electromagnetic structures containing lossy materials, resistive loading, and other dissipation mechanisms, this invention obtains the scattering T-matrix of the structure under a preset incident mode basis. Utilizing the property that the T-matrix is ​​a complex symmetric matrix under reciprocity conditions, the Autonne-Takagi decomposition method is used to decompose this complex symmetric matrix, yielding a set of mutually orthogonal radiative eigenmodes in the sense of radiated power and their corresponding radiated intensity parameters. The obtained radiative eigenmodes can be used for mode decomposition and physical interpretation of the radiation and scattering characteristics of lossy structures, and are applicable to the design and optimization of various practical lossy electromagnetic structures such as resistive-loaded antennas, scatterers containing dielectric losses, and absorbing material structures.

The invention discloses a miniature automatic weather station and a temperature measurement optimization control method and system. The temperature measurement performance of the miniature weather station is improved through global comprehensive optimization in the aspects of a system structure, circuit layout and a data algorithm. The system structure is improved, the structural design of the double-layer vertical-wall hollow cylindrical radiation-proof cover retains the advantage of compact structure of the miniature automatic weather station, and meanwhile, a conventional horizontal natural ventilation radiation-proof cover in a louver blade overlapping form is changed into the double-layer vertical-wall hollow cylindrical radiation-proof cover; sampling airflow is changed from horizontal natural ventilation airflow to vertical active air exhaust sampling. According to real-time meteorological environment data, a sampling air pump is driven and controlled in a segmented mode to operate, the solar radiation intensity, the atmospheric wind speed and the atmospheric temperature are used as control variables to determine the operation speed and the sampling flow of the sampling air pump, and a working mode, a circulation control variable and a working time sequence are selected. And in the aspect of a data processing algorithm, a multi-source data fusion calibration method is adopted to improve the accuracy of temperature measurement data.

The present application belongs to the technical field of image processing, and particularly relates to a forging process temperature field real-time monitoring method based on infrared images, which comprises the following steps: firstly, a temperature prediction model is established based on Newton's cooling law; secondly, a spectral selectivity distortion factor is constructed to quantify environmental interference by comparing the measured and expected radiation intensity ratios of multi-band infrared images; at the same time, a surface emissivity mutation index is constructed to identify surface changes by calculating the space-time gradient of radiation intensity; finally, the reliability score of colorimetric temperature is calculated by comprehensively considering the two indexes, and the predicted temperature and the colorimetric temperature are dynamically weighted and fused according to the score, so as to output an accurate, continuous and strong anti-interference optimal temperature estimation value. The present application can realize accurate temperature measurement by constructing environmental interference and surface state change indexes, evaluating the reliability of colorimetric temperature, and dynamically weighting and fusing the colorimetric temperature and the predicted temperature based on a physical model.

A computer-readable medium for storing apparatus, methods, and instructions for producing optical lens bodies by sustained tank polymerization. The method may include the steps of projecting radiation into a resin, pulling a gel body away from a projector providing radiation, and controlling the thickness of a pre-gelled zone extending from the resin to the gel body, and the apparatus may be used for this purpose. The controlling step may include receiving a thickness control value. The controlling step may include setting a tensile ratio and obtaining a thickness corresponding to the thickness control value. The controlling step may include setting the radiation intensity corresponding to the thickness control value. The controlling step may include receiving a thickness control value, setting a tensile ratio and radiation intensity, and obtaining a thickness corresponding to the thickness control value. The settings may be based on the resin activation energy.

The invention discloses a multi-target collaborative optimization regulation and control method and system for a photovoltaic sunshade curtain wall, and relates to the technical field of optimization regulation and control, and the method comprises the steps: collecting an outdoor radiation intensity parameter RAD, a wind speed parameter WND, an indoor illumination parameter LUX and a personnel existence signal PER in real time through a sensing module; mode switching is carried out according to the personnel existence signal PER and the sunshine intensity parameter RAD, and when it is detected that personnel exist and the radiation intensity is higher than a sunshine threshold value, a comfortable mode is entered; multi-source parameters of the exterior of the curtain wall and the indoor environment are collected in real time and subjected to fusion analysis through the sensing collection module, dynamic monitoring and feedback control over a radiation intensity parameter RAD, a wind speed parameter WND, an illumination parameter LUX and a personnel existence signal PER are achieved, and a comfortable mode, an energy-saving mode and a power generation mode are switched under different working conditions; the system can guarantee the comfort of the indoor light environment, and achieves the cooperative improvement of the photovoltaic power generation efficiency and the energy utilization rate.

This invention discloses a target simulation trajectory generation method for verifying dual-band infrared passive ranging technology. The method first simplifies the target into a Lambertian cylindrical model and sets a uniform straight-line flight path. Then, it calculates the critical distance at which the target is identified as a "point target" and an "area target." Next, through iterative calculations, it sequentially solves for the target's azimuth, pitch, actual distance, projected area, number of image pixels, radiation intensity, and image grayscale value in each simulation cycle, until the target completes its entire flight path. Finally, it outputs a dataset containing the target's actual distance, projected area, number of pixels, and grayscale value at the end of each cycle for algorithm verification of dual-band infrared passive ranging technology. This invention replaces field testing with fully digital simulation, enabling efficient and low-cost generation of high-precision verification data, and solving the problem of dependence on real targets and complex hardware systems in the R&D and verification phase of dual-band infrared passive ranging technology.

The present application belongs to the technical field of metal plastic working, and relates to a method for identifying surface cracking of a blank during hot working of steel. The specific steps are as follows: obtaining an infrared image of the surface of the blank; identifying a contour region of the surface of the blank; calculating the median value of the temperature values or infrared radiation intensity values of all pixel points in the contour region of the surface of the blank, and performing noise reduction processing on the infrared image by using the median value; identifying and calibrating the bare metal surface and the oxide scale covered surface in the contour region of the surface of the blank; calculating the temperature or infrared radiation intensity gradient of each pixel point in the contour region of the surface of the blank; for each identified crack, performing fractal calculation to determine the morphology of the crack, and classifying the possible causes of the crack. The present application solves the problem of online automatic identification of surface cracking of high-temperature metal during hot working, avoids false positives and false negatives caused by manual monitoring, and can output crack morphology data to provide data for detailed technical analysis.

The invention discloses a multi-legged robot radiation source autonomous positioning method based on AI dynamic path optimization, and belongs to the technical field of nuclear radiation monitoring and intelligent robots, and the method comprises the steps: collecting space radiation intensity data, eliminating pseudo sources, calculating a radiation gradient field, and constructing a radiation field in real time; an improved social network search algorithm is adopted to solve a target function of an optimal path, the target function dynamically fuses a path length and a radiation gradient integral, and a path weight coefficient alpha and a radiation weight coefficient beta are adjusted in real time through a Sigmoid function according to environmental complexity; the multi-legged robot conducts gait self-adaptive control according to the optimal path, and the movement speed is adjusted according to the real-time radiation intensity. According to the method, dynamic path optimization, multi-mode perception and pseudo source elimination are fused, the problems of path disjunction, data distortion, pseudo source interference, insufficient dynamic adaptability and the like in the prior art are solved, and an autonomous and credible radiation source positioning solution is provided for nuclear leakage emergency.

This invention discloses a rapid calculation method for the rearward infrared radiation intensity of an S-curve nozzle, belonging to the field of infrared radiation characteristic simulation of aero-engine exhaust systems. The method comprises the following steps: determining the design parameters of the S-curve nozzle and exhaust mixer components; establishing projection models of the key shielding sections of the exhaust mixer and S-curve nozzle; calculating the projected area of ​​each component after shielding by the S-curve nozzle using an image method; calculating the flow field parameter distribution and component surface temperature of the S-curve nozzle; calculating the axial length and volume of the visible region of the exhaust gas in the S-curve nozzle; calculating the spectral transmittance and spectral radiance of the exhaust gas along the nozzle outlet centerline within the visible region of the exhaust gas, as well as the spectral radiance intensity of the exhaust gas; calculating the infrared spectral radiance intensity of the wall surface; and integrating the spectral radiance to obtain the total infrared radiation intensity. This method solves the problems of existing technologies where the simulation calculation of the infrared radiation characteristics of S-curve nozzles is complex and time-consuming, and rapid calculation methods are only applicable to axisymmetric nozzles and cannot simulate the shielding structural characteristics of S-curve nozzles.

The invention discloses a radiation drying device based on a drying target absorption spectrum and a design method thereof. The device comprises a radiation source, a box body and a power supply, the radiation source is used for generating radiation, the box body comprises a back plate, side plates and a support, and the side plates are provided with air guide holes; the support is used for fixing the radiation source. The power supply is used for supplying power to the radiation sources and controlling on-off of the single radiation source. The design method comprises the following steps: selecting a proper radiation source according to an absorption spectrum of a drying target; calculating the required radiation source power and quantity according to the required radiation power density, the required radiation area and the reflectivity of the existing reflecting plate; designing a box body according to the radiation area and the side length of the radiation target surface; a radiation source arrangement mode is designed, and the radiation intensity is changed by controlling on-off of radiation sources through a power supply. According to the invention, accurate drying of a drying target and radiation distribution with the uniformity greater than 90% and the radiation power density greater than 20W / cm < 2 > under a large-size target can be realized, the energy consumption is reduced, and the drying efficiency is improved.

The disclosed invention comprises one or more hybrid metal-composite pressure vessels e.g., 1 (FIG. 1) or 100,200 (FIG. 2), designed for deep water application of radiation sensitive equipment, where the hybrid pressure vessels comprise a combination of metals and non-metals. A source of radiation may be disposed in one of the two hybrid metal-composite pressure vessels and a radiation detector disposes in the other hybrid metal-composite pressure vessel. A radiation beam is less attenuated as it passes through the non-metal parts of the hybrid pressure vessels and the intensity of the radiation reaching a radiation detector is higher than if it were to pass through the metal parts of the housings.

The application provides a kind of high vacuum oven system with dynamic temperature regulation of cellular, it relates to kitchen utensils and control system technical field, the application is divided into center hot area, edge hot area and key material contact area by high vacuum oven cavity, real-time acquisition each area temperature, infrared radiation intensity and local pressure data;Temperature variation, pressure disturbance and radiation deviation are analyzed using multi-physical field coupling model, the calculation of temperature control uniformity index, thermal vacuum coupling index and radiation compensation index, and according to the preset threshold value to generate closed-loop regulation strategy, realize the dynamic control of regional heating power, vacuum pump power and adjustable emissivity.The system can effectively improve the cavity temperature control balance, thermal vacuum stability and radiation uniformity, ensure the precision and thermal uniformity of the baking process, suitable for high-precision baking and high-temperature drying process in the field of kitchen utensils.

The invention provides a construction method, a prediction method and a system of a cooling coating property prediction model, and is suitable for the technical field of cooling coating optical property prediction. The construction method of the prediction model comprises the following steps: correcting an absorption efficiency factor and a scattering efficiency factor of scattering particles in a cooling coating to obtain a non-independent absorption efficiency factor and a non-independent scattering efficiency factor of the scattering particles; constructing a radiation transfer equation of non-independent scattering; based on the semi-isotropic strength of the cooling coating, constructing a double-flux model about forward and reverse radiation intensities; obtaining a forward radiation energy calculation formula and a reverse radiation energy calculation formula according to the double-flux model; determining an unknown coefficient in a radiation energy calculation formula based on the boundary condition; constructing a cooling coating property prediction model; the method has the beneficial effects that the actual physical process under the high-concentration condition can be accurately reflected, and the calculation precision of the properties of the cooling coating can be remarkably improved.

The application provides a spontaneous radiation active control system based on deflection regulation of a hyperbolic structure, relates to the technical field of quantum photon regulation, and comprises a hyperbolic dispersion structure layer, a quantum emitter, a nano waveguide and a substrate; the quantum emitter is used for emitting spontaneous radiation photons to be regulated; the hyperbolic dispersion structure layer is used for processing the spontaneous radiation photons to be regulated based on the anisotropic dielectric characteristics and the optical axis rotation regulation principle of the spontaneous radiation photons to be regulated, so that processed radiation photons with changed radiation intensity are obtained; the nano waveguide is used for collecting and guiding transmission of the processed radiation photons, so that guided wave photons that can be effectively utilized are obtained; and the substrate is used for providing a stable mechanical support platform for the hyperbolic dispersion structure layer, the quantum emitter and the nano waveguide. Therefore, the problem of flexible adjustment limited by fixed parameters is solved, the flexibility, the efficiency and the bandwidth adaptability of spontaneous radiation regulation are improved, and a practical application breakthrough of a high-performance quantum light source and related devices is realized.

The invention discloses a section temperature and non-gray absorption coefficient reconstruction method based on multi-camera spectral imaging. The method comprises the following steps: measuring flame monochromatic radiation intensity under multiple wavelengths by using multiple multi-spectral cameras; setting an initial absorption coefficient, and calculating a DRESOR coefficient matrix under each wavelength through a DRESOR method; the DRESOR coefficient matrix and a modified Tikhonov regularization method are combined to solve medium radiation source item distribution, an absorption coefficient is updated through a Newton iteration method, and medium radiation source item distribution under multiple wavelengths is output; simultaneously reconstructing temperature and absorption coefficient distribution from a radiation source item by using an L-M polynomial fitting method; and if the relative error minimization condition is met or the maximum number of iterations is reached, outputting a final flame section temperature and non-ash absorption coefficient distribution result. By means of the scheme, high-precision flame section temperature and absorption coefficient distribution can be obtained based on multispectral image information, the result is reliable, and precision is high.