184 results about "Spectral radiation" patented technology

The invention discloses a sky-ground integrated sunlight-induced vegetation chlorophyll fluorescence monitoring system, and belongs to the technical field of remote sensing monitoring. The system provides functions, parameter constraints and cooperation relations of space-based, empty-based and foundation chlorophyll fluorescence information acquisition and data analysis processing and application modules. Spatial scale matching, spectral scale matching, observation angle matching and atmospheric element matching are performed on the acquired sky-ground multi-element data with different scales, so that reflection characteristics, heat dissipation, photochemical indexes, fluorescence emission and atmospheric transmission characteristics during vegetation photosynthesis can be completely acquired; the invention provides a parameter relation and a method for extracting a fluorescence full-spectrum radiation information curve based on oxygen absorption and Fraunhofer dark line. On the basis of sky and landmark calibration and model verification, chlorophyll fluorescence detection of different fineness degrees of global large-range, key areas and ground crown planting scales can be carried out, various stress effects of vegetation can be monitored in real time, and the primary total productivity of the vegetation can be accurately estimated.

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 provides a vacuum ultraviolet deuterium lamp spectral radiance traceability method, device and equipment, and relates to the technical field of optical metrology. The method comprises the following steps: determining relative spectral distribution of a deuterium lamp in a vacuum ultraviolet band; acquiring the spectral radiation brightness of the deuterium lamp at 200nm under the condition that the black body is used as a standard radiation source; and determining the spectral radiation brightness of the deuterium lamp in the vacuum ultraviolet band according to the relative spectral distribution of the deuterium lamp in the vacuum ultraviolet band and the spectral radiation brightness of the deuterium lamp at 200nm. The method provided by the embodiment of the invention efficiently and accurately realizes the spectral radiance traceability of the vacuum ultraviolet deuterium lamp.

The invention provides a wetland ecological safety early warning method and system based on remote sensing analysis, and the method comprises the steps: firstly obtaining a multi-dimensional remote sensing data set containing multi-temporal imaging, spectral radiation and microwave scattering data in a target wetland region, and carrying out the interpretation to obtain an ecological process signal set; establishing a mapping relation model of the ecological process signal and the wetland ecological safety state, and obtaining a current ecological safety state description; performing cross-process correlation analysis on the ecological process signal to form an ecological process abnormal conduction chain; constructing an early warning trigger node system and generating an early warning rule; and acquiring real-time multi-dimensional remote sensing data, interpreting the real-time multi-dimensional remote sensing data, matching the interpreted real-time multi-dimensional remote sensing data with an early warning rule, and generating wetland ecological safety early warning information containing an abnormal ecological process link, an abnormal conduction path and an early warning response node. The wetland ecological safety risk can be comprehensively and accurately pre-warned, and the stability of the wetland ecological system is guaranteed.

The invention discloses a power grid facility safety-oriented forest fire spreading early warning method and system, and particularly relates to the field of cloud edge collaboration and danger prediction.The method comprises the steps of arranging a plurality of monitoring nodes in a power grid protection area, collecting monitoring data of temperature, humidity, wind speed, smoke concentration and spectral radiation, and performing early warning on forest fire spreading; matching the monitoring data of each monitoring node with the corresponding acquisition time, and constructing a multi-node environment data set according to a matching result; according to the method, a time rhythm index and multi-node difference identification mechanism is established under a cloud edge collaborative architecture, and an integrated danger prediction process of data synchronization, difference correction and trend solution is realized, so that the problems of virtual height early warning and response lag caused by misjudgment of node data asynchronization and cloud fusion in existing forest fire monitoring are solved.

The invention relates to a high-temperature heating furnace temperature measurement system based on a temperature emissivity inversion algorithm, and belongs to the technical field of metallurgical industry temperature measurement. The system comprises a spectrum detection system, a master control upper computer and a temperature adjusting system, the spectrum detection system is used for acquiring a plurality of wavelengths and corresponding gray values of a melt in the heating furnace; the temperature adjusting system is used for adjusting the temperature of the heating furnace; the master control upper computer is used for receiving the wavelengths and the corresponding gray values obtained by the spectrum detection system to obtain the spectral radiation brightness corresponding to the wavelengths; obtaining the temperature of the melt in the heating furnace by using a free energy minimization temperature emissivity inversion method based on each wavelength and the corresponding spectral radiance; and the temperature adjusting system is controlled to adjust the temperature of the heating furnace based on the temperature of the melt in the heating furnace. Real-time and accurate temperature measurement of melts with different emissivity is realized, the production cost is reduced, and the temperature measurement precision is high.

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 provides a large mountain photovoltaic environment fire danger identification method based on a meteorological satellite, and the method comprises the steps: carrying out the radiometric calibration processing based on the Himawari-8 data of a detection region, obtaining the spectral reflectivity or spectral radiation brightness of each wave band of the detection region, and obtaining a cloud shielding pixel through a cloud detection method; a normalized brightness temperature time sequence change function is established based on the time sequence change of the background brightness temperature, a brightness temperature estimation value is estimated, the maximum assumed threshold value of each stage is determined according to the brightness temperature time sequence change function, and then a time sequence method is used for distinguishing fire point pixels. And finally, carrying out credibility grading on the extracted fire point pixels to obtain a fire point grading graph, and sending out corresponding early warning according to fire point grades.

The invention relates to the technical field of infrared temperature measurement, in particular to a calibration method for an infrared temperature measurement device, and the method comprises the steps: calculating a first spectral radiation quantity at a reference temperature and a second spectral radiation quantity at an ambient temperature; based on the first spectral radiation quantity and the second spectral radiation quantity, the spectral average emissivity of the target surface of the blackbody calibration source at the reference temperature is obtained, the third spectral radiation quantity of a calibration temperature reference value is obtained through calculation, reverse calculation is conducted on the third spectral radiation quantity, and the calibration temperature reference value is obtained; a response model is constructed based on a calibration temperature reference value, a gain coefficient and a bias coefficient are obtained by solving the response model, a gain value of the infrared temperature measuring device is corrected based on the gain coefficient, and a bias value of the infrared temperature measuring device is corrected based on system bias. The whole calibration process of the method is convenient and easy to operate.

The invention relates to a temperature field imaging method based on free energy minimization, and belongs to the technical field of temperature field temperature distribution monitoring. Comprising the following steps: acquiring a multispectral image of a to-be-measured temperature field; wherein each pixel point in the multispectral image comprises a plurality of wavelengths and corresponding gray values; the pixel points comprise background pixel points and object pixel points; based on each wavelength and the corresponding gray value of each object pixel point, using pre-calibrated gray value-spectral radiation brightness corresponding data to obtain spectral radiation brightness corresponding to each wavelength of each object pixel point in the multispectral image; based on each wavelength of each object pixel point and the corresponding spectral radiation brightness, obtaining the temperature of each object pixel point by using a spectral emissivity temperature separation inversion method based on free energy minimization; and obtaining a temperature distribution diagram of the temperature field based on the temperature of each object pixel point. The accurate and efficient inversion of the temperature distribution state of the temperature field is realized.

The invention relates to the technical field of spectral radiation measurement, in particular to a conversion device for long-term measurement of radiance and irradiance by a spectrograph, which comprises a mounting plate, a turnover mechanism, a shell, an optical fiber and a cosine receiver, the turnover mechanism is connected with the bottom end of the mounting plate; the bottom end of the turnover mechanism is connected with the shell; the first end of the optical fiber is arranged in the shell, and the second end penetrates out of the shell; a through hole is formed in the shell, and an opening is formed in the bottom; the through hole is communicated with the opening; the first end of the optical fiber can move in the through hole in the axial direction of the optical fiber; the cosine receiver is movably connected with one surface, deviating from the mounting plate, of the shell so as to open or close the opening; the cosine receiver is of a flip structure; in a radiance measurement state, the cosine receiver opens the opening; in an irradiance measurement state, the turnover mechanism can turn over the shell to the position above the mounting plate, and the cosine receiver closes the opening. The conversion device cancels a traditional light path switcher, and the spectral radiation detection precision is improved.

The invention relates to the technical field of tobacco detection, and discloses a cut tobacco speed and cut tobacco dryer cavity temperature integrated detection method and device, and the method comprises the steps: obtaining a visible light image and an infrared image of cut tobacco; the visible light image and the infrared image are preprocessed; fusing the pre-processed visible light image and the pre-processed infrared image by adopting a spectrum fusion algorithm to generate a fused image; extracting tobacco shred speed information from the fused image by adopting an optical flow method; and acquiring tobacco shred temperature and cavity temperature information from the fused image by adopting a spectral radiation method. Compared with the prior art, the cavity temperature and the tobacco shred speed of the cut-tobacco dryer can be accurately detected in real time at the same time, so that a worker can adjust the drum wall temperature and the drum rotating speed of the cut-tobacco dryer in time, it is ensured that the water content of tobacco meets the processing technology standard, and the quality of finished tobacco products is improved.

A method and a system have been developed to calibrate the total spectral radiance factor (TSRF) obtained from different instruments. A broad-band light source covering the whole visible range as well as the fluorescence excitation wavelengths is used to measure the TSRF, and one or more narrow-band light sources outside of the fluorescent band is used to measure fluorescent spectral radiance factor (FSRF) separately. After that, the TSRF is adjusted by the FSRF, and a calibrated TSRF can be obtained. This can be applied to characterize Optical Brightening Agents (OBAs) as well as other fluorescent materials without requiring any moving part of the instrument to do the calibration.

The invention relates to the technical field of radiation temperature measurement, and discloses a multispectral radiation temperature measurement temperature inversion method and device and a storage medium, and the method comprises the steps: constructing a radiation equation set according to N spectrum channels of a multi-wavelength pyrometer; substituting the exponential polynomial model into a radiation equation set, constructing an equation set under different wavelength combinations, and introducing a conjugate gradient least square algorithm to solve and obtain multiple groups of temperature predicted values; modeling the probability density distribution of the temperature prediction value by using an adaptive kernel density estimation method, screening the temperature values of which the normalized probability density is greater than or equal to a preset threshold value, and calculating a weighted average value as a temperature prediction result; according to the method, multiple iterations are carried out through cross validation, the temperature value with the minimum prediction error is finally selected as the final temperature prediction result, the normal spectral emissivity of the sample is inversed according to the final temperature prediction result, and the accuracy of the temperature result can be further improved while the calculation efficiency is guaranteed.

The present application belongs to the technical field of forest fire research, and specifically discloses a forest fire simulation monitoring method and system. The method divides multiple forest fire simulation areas, determines the area where the ignition point is located as a target area; uses a UAV to carry a Fourier infrared spectrometer to collect spectral images in the target area; compares the spectral images with the spectral bands generated by the combustion of existing combustion products to determine the types of combustion products in the target area; based on the spectral images in the target area and the corresponding combustion product types, a flame spectral radiation model is constructed; multiple forest fire danger levels and the corresponding flame spectral radiation ranges of each forest fire danger level are set in advance, and the flame spectral radiation parameters output by the flame spectral radiation model are compared with all flame spectral radiation ranges to determine the forest fire danger level of the target area. By using the flame spectral radiation model, the present application realizes accurate detection and identification of forest fires.

The invention discloses a multi-spectral radiation temperature measurement method and system for improving a quantum particle swarm, relates to the field of radiation temperature measurement and photoelectric signal processing, and solves the problems that when an existing standard PSO algorithm is applied to high-dimensional and nonlinear multi-spectral inversion, local extreme values are likely to be trapped, and the self-adaptive capacity is poor. Setting parameters, generating an initial particle position by using Tent chaotic mapping, calculating the particle fitness of an initialized population, updating initial individual optimum and global optimum, and calculating an average optimal particle position; updating the optimal particle position through a Levy flight mechanism; and repeating the steps, calculating the multispectral radiation temperature measurement target function value of the updated position, updating the initial individual optimum and the global optimum, and if an error threshold value or the maximum number of iterations is met, outputting the global optimum solution. The method is also suitable for the application field of inverting the real temperature and the spectral emissivity of the target from the multi-channel spectral radiation signals and the like.

The present invention discloses a real-time calibration method for the scattering channel of a spectroradiometer based on direct solar irradiance, which includes: obtaining the calibration values of the entire wavelength band of the direct channel of the spectroradiometer through a hybrid calibration method that combines the Langley calibration method in the non-absorbing wavelength band and the theoretical calculation of the solar irradiance at the top of the atmosphere in the strong absorption wavelength band; accurately obtaining the spectral irradiance reaching the optical acquisition system of the radiometer and the atmospheric transmittance through the calibration of the direct channel; using the measured direct solar radiation passing through the atmosphere and the atmospheric transmittance in real time, combining the solar irradiance at the top of the atmosphere and the optical component parameters of the instrument to obtain the real-time calibration values of the entire wavelength band of the scattering channel. Without using other auxiliary materials, the present invention transfers the calibration of the direct channel of the spectroradiometer to the calibration of the scattering channel, and will be applied to devices that simultaneously measure direct solar light and atmospheric scattered light.

The present application relates to the image processing method of optical remote sensing imaging detection, specifically relates to a multi-modal image fusion method and imaging system, in order to solve the existing technical image capture of target scene depends on time-sharing type imaging system or multi-device acquisition, resulting in different modal image registration difficulty, low registration accuracy, image edge details are inconsistent, the deficiency of poor fusion effect, the multi-modal image fusion method of the present application includes the original image and characteristic spectrum of target scene, multi-modal image preprocessing and multi-modal image fusion steps, based on the spectral radiation curve of target scene, spectral image and polarization image realizes multi-modal image fusion.Simultaneously, provide a kind of multi-modal image imaging system, including sub-aperture array compound eye unit, for obtaining the original image of target scene, realize the spectral image and polarization image of target scene are acquired simultaneously.

This application provides a temperature control method and system for vacuum wetting indium in an array field emitter, relating to the field of vacuum electronic device manufacturing technology. The method includes: obtaining the three-dimensional temperature field distribution of the surface of the field emitter using a deep convolutional neural network based on spectral radiation energy; calculating the transverse and longitudinal temperature gradients between the emitter pins based on this distribution data, and inputting this data into an evaluation model to dynamically assess the wetting uniformity; and generating multi-temperature zone heating power control commands based on the uniformity results using a proportional-integral-derivative controller, and adjusting the power output of each temperature zone to ensure the array temperature field meets the requirements for promoting uniform indium wetting. This application improves the control accuracy and reliability of indium wetting uniformity in complex three-dimensional field emitters under vacuum and high-temperature conditions.

The present invention provides an optical measurement method and a processing apparatus. The optical measurement method includes the following steps: obtaining a first detection result of a first standard lamp to which a value of spectral irradiance for a first wavelength range is assigned; obtaining a second detection result of a second standard lamp to which a value of spectral irradiance for a second wavelength range that at least partially overlaps with the first wavelength range is assigned; calculating a correction value of a calibration coefficient for wavelengths in a wavelength range where the first wavelength range and the second wavelength range overlap; determining a third calibration coefficient based on at least the first calibration coefficient and the correction value; obtaining a third detection result of a third standard lamp; and assigning a value of spectral radiant quantity or radiant quantity to the third standard lamp based on the third detection result and the third calibration coefficient.

The present invention relates to the technical field of lightning. Disclosed are a circadian lighting fixture system and a control method therefor. A circadian lighting fixture comprises a base, and a first light source, a second light source, a third light source, a fourth light source, and a fifth light source which are arranged on the base, wherein the first light source emits white light, the second light source emits red light, the third light source emits green light, the fourth light source emits blue light and the fifth light source emits yellow light. The control method comprises: adjusting the light emitting ratios of the first light source, the second light source, the third light source, the fourth light source and the fifth light source, so that the M / P ratio of the circadian lighting fixture reaches a first preset value, the color rendering index thereof reaches a second preset value, and the spectral radiation efficiency thereof reaches a third preset value. By implementing the present invention, a circadian lighting fixture system having suitable circadian effect and lighting effect can be obtained.

The application relates to the technical field of atmospheric detection, and particularly provides a device and a method for measuring atmospheric transmittance, the device comprising a sensing and executing layer and a supporting layer, wherein the sensing and executing layer comprises a long-distance subsystem, a short-distance subsystem and a meteorological detection device; the distance between the long-distance subsystem and a measurement target is equal to a to-be-measured distance of the atmospheric transmittance; the distance between the long-distance subsystem and the measurement target is greater than the distance between the short-distance subsystem and the measurement target; the long-distance subsystem and the short-distance subsystem both comprise a multi-spectrum device; the multi-spectrum device of the long-distance subsystem collects a first multi-spectrum radiation image of the measurement target; at the same time, the multi-spectrum device of the short-distance subsystem collects a second multi-spectrum image of the measurement target; the atmospheric transmittance is calculated based on the radiation path difference of the first and second multi-spectrum radiation images; and the meteorological detection device is used for collecting meteorological data of a measurement environment, and the meteorological data is used for compensating for the environmental error of the atmospheric transmittance.

The application provides a light field multispectral temperature inversion system and method based on a physical information neural network, first constructs a deep learning network infrastructure, adopts a double-layer U-Net architecture to extract radiation and spatial distribution characteristics of data; then designs a physical information embedding module, modularizes a Planck radiation law, and guides the network to establish a physical correlation between radiation information and temperature; subsequently, light field multispectral radiation data are collected through experiments, the network is trained after data division and preprocessing are completed, and a mapping relationship between radiation characteristics and temperature characteristics is established; finally, the trained network is migrated to actual test data, and high-precision and rapid temperature inversion is realized. The application has both the advantages of deep learning in processing complex data and the constraint of a physical model, not only improves the precision and calculation efficiency of light field multispectral temperature inversion, but also enhances the applicability of the light field multispectral temperature inversion in a high-temperature complex environment.

The invention relates to a method for evaluating fuel gas jet radiation heating, which comprises the following steps of: defining a jet boundary as a semi-cylindrical outer surface and an arc surface outer surface which have the same diameter as a nozzle outlet according to a flight height, and determining the arc surface outer surface by calculating an initial expansion angle, a radius of an arc, a Mach number of the nozzle outlet and a Prandt-Myer angle; calculating the angle coefficient of each point at the bottom when the jet flow boundary is the semi-cylindrical outer surface; carrying out engine ground test run, measuring the radiation heat flow of the engine, estimating the angle coefficient of the bottom heat flow measuring point position and the jet radiation heat flow, correcting the fuel gas equivalent blackness, and calculating the radiation heat flow of each point when the jet boundary is the semi-cylindrical outer surface and the radiation heat flow of each point when the jet boundary is the arc surface outer surface; according to the method, high-temperature fuel gas jet flow field calculation and high-temperature gas spectrum radiation characteristic and transmission calculation do not need to be carried out, and engineering rapid prediction of radiation heating of the aircraft tail mounting object is realized by utilizing ground engine test run test measurement data association.

To provide a temperature measurement system capable of acquiring a standardized temperature of a combustion chamber used for temperature control of a coke oven.SOLUTION: A temperature measurement system comprises: a two-color radiation thermometer that measures a temperature of a flue constituting a combustion chamber based on a ratio of spectral radiances at two different wavelengths acquired through an optical window provided in an observation hole above the combustion chamber of a coke oven; and a standardized temperature calculation device that calculates a standardized temperature of the combustion chamber. The standardized temperature calculation device includes: a measurement target identification unit that identifies the combustion chamber including the flue to be measured based on a measurement position by the two-color radiation thermometer; and a standardized temperature calculation unit that calculates the standardized temperature from a combustion switching time of the flue to be measured, a temperature of the flue measured by the two-color radiation thermometer, and a measurement time, using a temperature change formula representing a temperature of the flue that changes with time during combustion switching for switching over between a combustion-side flue and an exhaust-side flue of the combustion chamber, the temperature change formula being acquired in advance.SELECTED DRAWING: Figure 3

The application belongs to the field of image data processing, and particularly relates to a geometric and radiation compensation measurement method applied to farmland extraction, which comprises the following steps: obtaining remote sensing image data of a target area, pre-processing the remote sensing image, constructing a label, cutting and cropping, and dividing a training set and a test set; under the condition of fixed spatial resolution, the application establishes a unified compensation measurement mechanism between spatial resolution and spectral band number, realizes quantitative description of farmland extraction performance, solves the problem that the existing technology cannot uniformly measure the synergistic effect of spectral radiation information and spatial geometric information, and provides method support for two-dimensional quantitative analysis of farmland extraction precision; by constructing an Iso-IoU joint regression model, mathematical expression of the compensation relationship between spectral radiation information and spatial geometric information is realized, and the farmland extraction capability under different remote sensing configuration conditions can be quantitatively evaluated.

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 provides a light field multispectral temperature measurement method and system based on an infrared sensor. The method comprises the following steps: calculating optical parameters of a microlens array and a filter array according to an optical formula; then, processing and manufacturing a micro-lens array through photoetching, developing, pressing a plate and atomic force scanning; secondly, building an infrared light field multispectral radiation temperature measurement system; calibrating the system by using a blackbody furnace to obtain a corresponding relation between the camera output signal intensity and the standard temperature; decoupling the multispectral light field image according to the imaging characteristics of the light field camera; and finally, the real temperatures of the object points of the high-temperature component are calculated in sequence by using the decoupled data, and a two-dimensional real temperature field of the high-temperature component is obtained. According to the invention, the limitation of multi-spectral temperature measurement based on a visible light field is solved, the multi-spectrum of the light field is combined with an infrared imaging technology, the measurement of a two-dimensional temperature field is realized, and the defects that an existing optical temperature measurement system is complex in structure, and the temperature measurement precision and breadth cannot be considered at the same time are effectively overcome.

The present invention provides a method for measuring the thickness of the slag layer on the heating surface of a furnace based on medium-wave infrared detection technology. The method first uses a 3.9μm infrared thermal imager to measure the spectral radiation intensity of the furnace heating surface and the furnace flame, then uses a CMOS camera to obtain the spectral radiation intensity of the flame at 3.9μm, and solves the slag layer temperature on the heating surface based on the Newton iteration method, the BOOW emissivity model, and the Hadley ash thermal conductivity coefficient model. By continuously increasing the iteration order until the relative error of the radiation intensity corresponding to the slag layer temperature is less than the allowable error, it is considered that the iteration has converged. The output temperature at this time is considered to be the actual temperature of the slag layer. Then, based on the temperature difference between the actual temperature of the slag layer and the actual temperature of the heating surface during furnace operation, the slag thickness is calculated according to Fourier's law of heat conduction. The slag layer thickness solution algorithm provided by the present invention can obtain the two-dimensional spatial distribution of the slag thickness of the heating surface tube wall based on the spectral radiation intensity of the slag layer, thereby realizing visual monitoring of the slag on the tube wall.

The invention particularly relates to a method for calculating non-equilibrium shock wave layer infrared spectrum radiation based on an NO vibration excited state collision-radiation model. The method comprises the following steps: constructing an NO infrared vibration excited state collision-radiation model; extracting flow field data along a certain specific direction, inputting the flow field data into the NO infrared vibration excited state collision-radiation model, and calculating NO vibration excited state particle number density; calculating each vibration state absorption coefficient of NO based on the NO vibration excited state particle number density; and calculating the absorptivity in any layer on the detection path based on each vibration state absorption coefficient in combination with an apparent ray method, and calculating the NO infrared spectrum radiance based on the absorptivity. The method solves the problems that the spectral radiation calculation precision in hypersonic thermodynamics and chemical unbalanced flow is not high, the unbalanced state is not considered in the calculation, and the excited state particle number density adopted in the calculation of the infrared spectral radiation of NO is inaccurate.