147 results about "Attenuation coefficient" patented technology

The embodiment of the invention provides a new energy optical power correction method and system based on weather abrupt change prediction. The method comprises the following steps: identifying a cloud layer type contained in a target area, and obtaining a cloud layer type coverage rate; if the cumulonimbus coverage rate exceeds a first threshold value, predicting a cloud layer movement path in combination with the cloud layer movement vector field to obtain a first cloud layer coverage change sequence; if the layer cloud coverage rate exceeds a second threshold value, an irradiance attenuation coefficient is predicted based on the cloud layer thickness in the meteorological data and the solar altitude angle, and a second cloud layer coverage change sequence is obtained in combination with the ground aerosol optical thickness and the corrected irradiance attenuation coefficient; and monitoring real-time operation data of the power station, combining the first / second cloud layer coverage change sequence, predicting a matching relationship between a cloud layer moving direction and a power station power reduction area by adopting a double-flow Transform architecture, calculating a power fluctuation range corresponding to each power station power reduction area, dynamically adjusting power grid operation parameters of a target area, and determining the power grid operation parameters of the target area. The power grid stability is ensured.

The invention discloses a liquid medicine foreign matter detection method and system based on machine vision, and the method comprises the steps: obtaining multiband spectral data of a liquid medicine sample, and carrying out the normalization processing to generate a liquid medicine background standard spectral feature template; comparing the refractive index spectral characteristics of the template and the foreign matter-containing liquid medicine, and recording the surface roughness scattering mode and polarized light reflection angle change data of a foreign matter area; calculating a spectrum peak displacement quantized value according to the polarized light data, and extracting foreign matter edge spectrum gradient information in combination with a threshold value; calculating a transparency spectral attenuation coefficient based on the edge gradient information, and obtaining spectral contrast enhancement factors of different foreign matters in combination with the spectral response characteristic data; and if the enhancement factor does not reach the standard, adjusting the spectrum correction parameter and recalculating, fusing the scattering mode and the multi-angle incident spectrum response result to carry out consistency verification, and obtaining a final identification result containing the foreign matter material type and the danger level. The method can improve the drug detection accuracy and guarantee the drug quality safety.

The invention relates to the technical field of laser data transmission, and provides a multi-dispersion laser system and a control method thereof. The control method of the multi-dispersion laser system comprises the following steps: establishing a first model and a second model; in the initial state, the pumping power of the pumping light source is adjusted, and a first target pulse interval and first target power are determined in combination with the first attenuation coefficient, the second attenuation coefficient and the first model; determining a second target power, a second target pulse interval and a target attenuation coefficient by a second model in combination with the fact that the second attenuation coefficient is zero; the real-time pumping power is controlled to be first target power, the first real-time attenuation coefficient is zero, the second real-time attenuation coefficient is zero, the first laser is output in a first state, and the second laser is output in a third state; the third state comprises a soliton dissipation state; the real-time pumping power is controlled to be second target power, the first real-time attenuation coefficient is the target attenuation coefficient, the second real-time attenuation coefficient is zero, the first laser is output in the first state, and the second laser is output in the second state.

The invention relates to the technical field of water environment remote sensing monitoring, solves the technical problem of systematic overestimation or underestimation under the condition of algae bloom outbreak or strong stratification due to the fact that a water body is regarded as an optical uniform monolayer parameter in a traditional method, and particularly relates to a stratified light field correction chlorophyll-a remote sensing inversion method and system for an eutrophic lake. Performing vertical type identification and three-layer layering by using multispectral / hyperspectral remote sensing reflectivity, a synchronous chlorophyll-a vertical profile and a diffusion attenuation coefficient, calculating light field weight and light path weighted concentration of each layer, constructing a layered light field correction coefficient, performing layered light field correction on the remote sensing reflectivity, and establishing an empirical chlorophyll-a inversion relationship; and generating a chlorophyll-a spatial distribution map and an algae bloom risk map. According to the method, the layered light field correction coefficient with clear physical significance is constructed to correct the water surface remote sensing reflectivity, so that the inversion precision and robustness under strong layering and complex optical conditions are improved.

The invention relates to an intelligent design method of a radiation shielding material based on cross-scale error feedback lock step, which comprises the following steps: determining a material component set and acquiring an atomic-scale graph structure of the material component set, and extracting intrinsic performance parameters such as heat conductivity and attenuation coefficient through an atomic-scale prediction module; and then, constructing a design variable vector in combination with a multi-physical field condition, calculating equivalent performance parameters of the composite material, establishing a cross-scale lock step mechanism, and triggering a molecular dynamics and Monte Carlo recalculation module to carry out correction when the deviation between a predicted value and a mesoscopic recalculation result exceeds a limit. Based on the correction parameters, a candidate material scheme is generated by using a multi-objective optimization algorithm; and performing gamma-ray and neutron shielding performance simulation on the candidate schemes through a Monte Carlo radiation transfer model accelerated by a deep neural network, and comparing with an experimental result to realize self-adaptive material design driven by cross-scale errors. According to the method, the design precision and efficiency of the radiation shielding material are remarkably improved.

The invention relates to the technical field of fully mechanized coal mining face automation control, and discloses a working face end straightness detection method and device based on a laser radar, and the method comprises the steps: building geometric and radiation references through collecting fixed reference target data; in real-time detection, a displacement vector and an atmospheric attenuation coefficient are calculated by using an instantaneous state of a target, and double-domain dynamic correction of coordinate rigid inverse transformation and intensity threshold adaptive adjustment is performed on an original point cloud. Then, clustering segmentation and slice centroid extraction are carried out on the corrected point cloud, and an ordered feature point set is obtained; and performing multi-factor weighted curve fitting on the feature point set in combination with geometric stability and environmental credibility, constructing a form fitting curve, and outputting a straightness deviation quantitative index according to a comparison result of the curve and an ideal reference straight line. According to the invention, the interference of equipment vibration and dust attenuation on measurement is eliminated, and the robustness and precision of the straightness detection of the scraper conveyor are improved.

The invention relates to the technical field of fluorescence detection, in particular to a three-dimensional fluorescence detection correction method based on double light sources, and the correction method comprises the following steps: obtaining double light source optical parameters, sample cell geometric parameters and original fluorescence intensity data, the geometric parameters of the sample pool comprise the length, width, height, pool wall reflection coefficient and sample attenuation coefficient of the sample pool; and constructing a light intensity distribution model in a three-dimensional space of the sample cell based on the optical parameters of the double light sources and the geometric parameters of the sample cell. According to the invention, accurate characterization of the light intensity of any spatial point in the sample cell is realized, light intensity deviation caused by various factors is quantified from the source, personalized correction is carried out on each spatial point, the influence caused by optical path difference at different positions, light source fluctuation and element error is effectively offset, and the accuracy and accuracy of the detection result are improved. The consistency of detection values of standard substances with the same concentration in different areas of the sample pool is greatly improved, and the linearity of a standard curve is remarkably optimized.

The invention provides a wharf belt conveyor steel wire leakage early warning method, device and equipment and a storage medium, and the method comprises the steps: carrying out the edge detection and texture comparison through collecting a belt surface image, and generating a steel wire texture definition degradation rate; meanwhile, infrared radiation data of a joint area are collected, and the thermal radiation intensity of the joint is obtained through normalization processing and thermal radiation energy calculation. And calculating wear, stress concentration and environmental attenuation coefficients in combination with the standardized belt state characteristic matrix, and inputting a belt health degradation model to generate a health degradation index. And determining a curve gradient coefficient and a risk offset according to the service life of the belt, the environmental corrosivity parameter and the historical missing report event. And finally, through product calculation and Sigmoid function conversion, a steel wire exposure risk index is generated, dynamic quantitative evaluation, accurate pre-judgment and advanced early warning are realized, safe operation of the belt conveyor is guaranteed, and fault loss is reduced.

The invention provides a distributed optical fiber temperature measurement method and device, electronic equipment and a storage medium, and belongs to the technical field of optical fiber detection. Multi-dimensional data acquisition including light source power fluctuation data, detector dark current data, optical fiber loss distribution data and environment temperature and humidity data is realized; preprocessing the collected multi-dimensional data, constructing a light source power drift model and a detector sensitivity drift model, and fitting model parameters; and calculating a corresponding error correction coefficient based on the light source power drift model and the detector sensitivity drift model, correcting the ratio of anti-Stokes light intensity to Stokes light intensity of Raman scattering in combination with a dynamic correction result of an optical fiber attenuation coefficient by environment temperature and humidity data, and outputting calibration temperature data. Therefore, on the basis of the Raman scattering technology, light source power fluctuation and detector sensitivity drift core errors are eliminated through a multi-dimensional error compensation model, and the temperature measurement precision is improved.

The invention discloses a tunnel internal illumination control method based on multi-data analysis, and relates to the technical field of tunnel illumination control. According to the invention, the construction of the brightness control curve takes the Gaussian function as the core, the continuous attenuation of the brightness from the natural brightness of the hole to the reference brightness in the hole is realized through the brightness transition curve, and the Gaussian attenuation coefficient is solved in combination with the length of the transition section, so that the smoothness of the brightness along with the position change is ensured; the problem of visual discomfort caused by sudden brightness change in traditional stepped dimming is solved; in addition, by judging whether the intersection point exists in the brightness transition curves of the transition sections of the entrance and the exit, the curves are intercepted or recalculated, and the illumination control conflict caused by overlapping of the transition sections in the short tunnel is effectively solved. According to the technical scheme, the illumination in the tunnel is accurately controlled, so that the vision of a driver is always in a comfortable and adaptive state in the whole process of entering, driving out of the tunnel and passing through the short tunnel, the obstacle recognition distance is remarkably prolonged, and the risk of accidents such as rear-end collision and lane departure is reduced.

The invention relates to the technical field of structural engineering safety monitoring, in particular to a fire resistance real-time evaluation system and method based on a steel structure, and the method comprises the steps: collecting the surface radiation energy of the steel structure through a distributed thermal infrared imager array, and constructing a millimeter-level precision three-dimensional temperature field distribution diagram in combination with an environment temperature compensation algorithm; inputting the temperature field into the phase change correction model, and dynamically calculating a yield strength attenuation coefficient and an elastic modulus reduction coefficient; constructing a thermal-mechanical coupling nonlinear finite element model based on the degradation parameters, iteratively solving the displacement and stress response of the structure under the fire load action by adopting an arc length method, and extracting a buckling critical load spectrum; and according to the ratio of the real-time fire load to the critical load, a fire-resistant safety level signal is generated, and a graded early warning instruction is triggered. According to the invention, thermal-force response whole-process monitoring and intelligent early warning of the steel structure in a fire disaster can be realized, and the system has high spatial resolution, high physical coupling and multi-level response capability.

The invention discloses an ancient building repairing auxiliary system based on a color quantization technology, and relates to the technical field of ancient building special decoration. The acquisition module is used for acquiring a dust light transmission attenuation coefficient determined according to the dust concentration and a target attenuation coefficient, determining a reference brightness ratio of the current brightness to the dust-free standard brightness by a standard reference plate and a preset temperature and humidity compensation factor, and calculating an environment illumination value; according to the identified average reflectivity of the material, 1 minus the mirror reflection ratio and the surface roughness, endowing different weight values, and then adding to determine a material optical value of the material; dividing the product of the environment illumination value, the material optical value and a preset material photosensitivity correction factor by 100 to obtain a comprehensive illumination value; driving an execution unit to execute different strategies according to the comprehensive illumination value; therefore, the problem that some tiny flaws cannot be accurately positioned during repair defect detection due to different on-site environments after the ancient building is preliminarily repaired can be solved, and the method is simple, effective and easy to use.

The invention discloses a laser therapeutic instrument control method, equipment, a product and a medium, and relates to the technical field of medical instrument control. According to the method, an action area is divided into a plurality of operation units, and a reflection spectrum and a scattering spectrum of each operation unit are acquired in real time by utilizing a detection light beam, so that optical characteristic information of the tissue is accurately obtained; extracting multi-dimensional absorption characteristic parameters including a wave band absorption coefficient, a scattering attenuation coefficient and an effective penetration depth; a dose response function constructed based on the parameters can accurately represent a nonlinear mapping relation between the input laser energy and the actual absorbed dose; differential laser input parameters are reversely calculated through dose equalization processing, so that operation units with different optical characteristics can receive corresponding target absorbed doses; and finally, the laser therapeutic instrument executes operation according to the differentiated parameters, so that accurate energy control on areas with different optical characteristics is realized, and the effectiveness of laser treatment is improved.

The application discloses a method and device for extracting Scholte wave attenuation coefficients, a system and a storage medium, and comprises the following steps: collecting seabed seismic data of an observation area; obtaining a pretreated common-receiver gather based on the seabed seismic data of the observation area; based on the CRG gather data in the SU format pretreated by the seabed seismograph, using high-resolution forward and inverse transformation, separating and extracting the base-order CRG gather with energy focusing and single order from the CRG gather coupled and stacked by multiple-order Scholte waves; based on the base-order CRG seismic gather, calculating the attenuation coefficients of any two gathers, and after the cyclic calculation of all gather pairs is completed, the average attenuation coefficient model corresponding to the gather pair is obtained. By using the technical scheme of the application, the Scholte wave dispersion order can be accurately separated, and the base-order attenuation coefficient can be specially extracted.

The invention provides a sound velocity calculation method and system based on a pulse tube experiment, and relates to the technical field of sound velocity measurement, and the method comprises the steps: obtaining a first complex reflection coefficient of a tested sample under an air backing and a second complex reflection coefficient of the tested sample under a rigid backing through the pulse tube experiment; based on the first complex reflection coefficient and the second complex reflection coefficient, a real part and an imaginary part of a calculation result are obtained through combination; obtaining the density of water, the sound velocity and the frequency in the water, the density of the tested sample and the thickness of the tested sample, and calculating to obtain a constant term; and according to the thickness, the real part, the imaginary part, the constant term and the frequency of the tested sample, calculating the sound velocity and the attenuation coefficient of the tested sample. According to the method, the technical problems of unstable numerical value, low calculation efficiency and inaccurate result caused by difficulty in solving a transcendental equation in sound velocity calculation of an existing pulse tube experimental method are solved.

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.

The invention relates to the technical field of defect detection, and discloses an automatic exposure method and system for an X-ray flaw detector, and the method comprises the steps: firstly obtaining a three-dimensional model of a workpiece, and calculating the equivalent thickness of the workpiece, the source image distance, the normal included angle of the inner wall, the directional attenuation of an X-ray source and other characteristic functions along with the change of a circumferential angle in combination with preset X-ray projection geometry; then obtaining a linear attenuation coefficient of the material under effective energy through energy calibration, and setting a target comparison noise ratio and a defect equivalent thickness at a reference angle to obtain a reference exposure; generating full circumferential target exposure distribution according to the physical function and the material parameters; finally, dispersing exposure distribution into a sector sequence, carrying out exposure measurement under the constraint of equipment and total exposure, calculating an actual contrast noise ratio of each sector, and comparing the actual contrast noise ratio with a threshold value, thereby quantitatively judging whether the workpiece has defects or not, and realizing high-precision and uniform-sensitivity X-ray defect detection on the circumferential weld.

The invention relates to an inter-hole electromagnetic wave perspective imaging inversion method based on a particle swarm optimization algorithm, and belongs to the field of inter-hole electromagnetic wave perspective attenuation coefficient imaging. Comprising the following steps: initializing an attenuation coefficient, a particle swarm number, a position, an individual optimal position, a group optimal position and a fitness threshold of each grid divided by a perspective stratigraphic interval; calculating the updating speed of the attenuation coefficient of each grid in each particle; calculating the terminal field intensity of each ray according to the ray tomography theory, and calculating the fitness of each current particle by combining the actually measured field intensity; comparing the fitness of each particle with the fitness calculated by the particle individual optimal position of each particle and the swarm optimal position of the particle swarm to obtain a new particle individual optimal position and a new swarm optimal position of the particle swarm; repeating the steps until the fitness meets the requirement; the attenuation coefficient of each grid obtained at the moment is the optimal attenuation coefficient. According to the method, the number of iterations can be effectively reduced, and the inversion calculation accuracy is improved.

The present invention relates to a method for estimating the temperature of a steel product, the method comprising: a calibration step, wherein the intensity at five wavelengths ranging from 0.9 μm to 2.1 μm is recorded for several measurement conditions and a spectral attenuation coefficient is calculated; a measurement step, wherein the intensity at the five wavelengths is recorded and a spectral attenuation coefficient is calculated for several temperatures; and a comparison step, wherein a probability test is performed to estimate the temperature of the steel product.

The invention discloses a high-precision calibration method of a hyperspectral laser radar for photon counting, which belongs to the technical field of laser radars and comprises a spectrum calibration stage and a radiation calibration stage. Spectral calibration is used for extracting spectral response parameters of each channel based on wavelength-by-wavelength scanning of a monochromator and synchronous measurement of a beam splitter; a detection link is strictly decoupled through radiometric calibration, the effective attenuation coefficient of a water body is extracted in situ through a slope method, full-link radiation correction is carried out in combination with an air whiteboard reference and window transmittance, and the target intrinsic spectral reflectivity without interference is inverted. The method can be used for data correction, target accurate classification and identification and high-fidelity quantitative detection of the hyperspectral laser radar for photon counting, and solves the problem of serious spectral distortion of an original signal caused by non-uniform light source energy of the hyperspectral laser radar and complex scattering absorption of a water body.

The invention belongs to the technical field of nondestructive testing, particularly relates to a nondestructive testing method and system for the early strength of a prefabricated part based on an ultrasonic array, and aims to solve the technical problem that an existing nondestructive testing technology is difficult to accurately evaluate the early strength of the prefabricated part under multi-factor interference. The detection method comprises the following steps: S1, identifying the arrival time of a head wave for each time domain waveform signal, and calculating the average sound velocity by combining the geometric position of each receiving channel; s2, calculating a mean value of permutation entropies of all the receiving channels to obtain a peak pre-entropy mean value; s3, calculating a mean value of the attenuation coefficients of all the receiving channels to obtain a frequency attenuation coefficient mean value; and S4, based on the comprehensive strength indication value, determining the early strength of the prefabricated part through a preset strength mapping relation. According to the detection method disclosed by the invention, the comprehensive strength indication value is constructed, and the accuracy of nondestructive detection of the early strength of the prefabricated part is improved.

This invention discloses a visible light communication channel modeling method for underground coal mine environments, solving the problem that existing technologies fail to accurately quantify the impact of coal mine dust and obstacles on the attenuation of received optical power. The method includes: determining the link parameters of the visible light communication system, simulation parameters of the environment, and simulation parameters of the transmitter and receiver; calculating the attenuation coefficient of received optical power due to coal mine dust and obstacles; calculating the channel impulse response and characteristic parameters; determining the noise simulation parameters of the photodetector; and calculating the bit error rate of the communication system. This invention quantifies the impact of coal mine dust and obstacles on the channel, integrating the attenuation coefficient of received optical power due to coal mine dust and obstacles into the channel model, resulting in a visible light communication channel model that better reflects the underground coal mine environment. This invention enriches the modeling methods for visible light communication channels, and the modeling results provide guidance for the design and deployment of visible light communication systems in underground coal mine environments.

The invention provides a method and a related device for indicating a through-well crack through array acoustic logging mode wave amplitude, and the method comprises the following specific steps: S1, obtaining an underground array acoustic signal, separating different types of mode waves from the array acoustic signal, and obtaining the mode wave normalization amplitude of each receiver corresponding to each logging depth; s2, constructing a large attenuation matrix by using the normalized amplitude of the mode wave to obtain a plurality of amplitude curves of each logging depth; s3, transverse accumulation summation is carried out on the multiple amplitude curves of each logging depth, and a full-depth-domain amplitude accumulation curve is obtained; and S4, subtracting the adjacent full-depth domain amplitude accumulation curves to obtain an amplitude difference curve, and if an abnormal jumping tip value exists on the amplitude difference curve, indicating that a well-passing crack exists. According to the method, the large attenuation coefficient matrix is constructed, the abnormal attenuation phenomenon caused by cracks is enhanced, amplitude extraction noise is suppressed, and therefore high-precision evaluation of the well wall crack development condition is achieved.

The invention belongs to the technical field of cataract crystal evaluation, and particularly relates to a cataract crystal turbidity degree quantitative evaluation method based on optical coherence tomography. OCT original data are calibrated through standard scatterer signals, the influence of equipment parameters and individual differences is eliminated, the objective comparability of physical quantities such as attenuation coefficients is ensured, and the accuracy of evaluation of the turbidity degree of a cataract crystal is improved. Subregions are accurately divided according to a crystal anatomical structure, attenuation coefficients of depth resolution and spatial texture features are synchronously extracted, limitation of single features is broken through, sensitive analysis of local opacity is realized, finally, multi-region and multi-dimensional parameters are automatically integrated by using a pre-trained feature fusion model, continuous comprehensive opacity quantitative indexes are generated, and the opacity analysis accuracy is improved. Dependence on artificial experience is completely avoided, and the sensitivity and repeatability of evaluation are remarkably improved; finally, closed-loop evaluation of calibration, regionalized decoding and intelligent quantization is formed.

The invention provides a method and system for calibrating a frequency spectrum generator of drinking water equipment, and relates to the technical field of intelligent management of the drinking water equipment, and the method comprises the steps: obtaining an initial spectrum signal outputted by a to-be-calibrated frequency spectrum generator in the drinking water equipment, and a simulation spectrum signal transmitted through a spectrum transmission path in the drinking water equipment; utilizing a Fourier transform infrared spectrum technology to obtain an intermediate processing signal and carrying out suppression processing to obtain a target spectrum component, and combining a characteristic comparison result of the target spectrum component and the initial spectrum signal to calculate a spectrum attenuation amount; obtaining a digital spectral signal by using a high-speed analog-to-digital conversion technology, and calculating an actual spectrum attenuation coefficient of the to-be-calibrated spectrum generator in combination with a spectral intensity change value of the digital spectral signal and the initial spectral signal and an optical path parameter of a spectrum transmission path; and obtaining the calibrated frequency spectrum generator according to a deviation value between the attenuation characteristic and a preset standard frequency spectrum attenuation coefficient, thereby realizing accurate evaluation and dynamic calibration of the attenuation characteristic of the frequency spectrum generator of the drinking water equipment in a complex light path environment.

The invention relates to an opto-acoustic-ultrasonic multi-mode bone metabolism and senescence noninvasive detection method and device, and the method comprises the following steps: respectively collecting an ultrasonic signal and a multi-wavelength opto-acoustic signal in a detection period; calculating the ultrasonic sound velocity and the broadband ultrasonic attenuation coefficient of the to-be-detected bone based on the ultrasonic signal, comparing the ultrasonic sound velocity and the broadband ultrasonic attenuation coefficient with the data of the healthy bone, and preliminarily judging the health degree of bone metabolism; based on the ultrasonic sound velocity and the broadband ultrasonic attenuation coefficient of the to-be-detected bone, performing ultrasonic attenuation compensation on a bone tissue part in the photoacoustic signal; fitting the opto-acoustic signal subjected to ultrasonic attenuation compensation corresponding to each wavelength into a transmission equation of a macroscopic homogeneous medium, calculating to obtain a relative light absorption coefficient of each wavelength, and mapping the relative light absorption coefficient and the corresponding wavelength to obtain a relative light absorption spectrum of the to-be-detected skeleton; and performing linear fitting on the relative light absorption spectrum and the main component spectrum in the skeleton, decoupling related photoacoustic parameters of the chemical component content, and further judging the skeleton metabolism and aging degree. Compared with the prior art, the method has the advantages of being low in detection complexity, non-invasive, non-radiative, capable of comprehensively obtaining physical microstructures and biochemical information related to bone metabolism and aging and the like.

The invention relates to the technical field of material overrun detection, and particularly discloses a method and system for judging material overrun through an optical switch, and the method comprises the steps: obtaining foreign matter characteristic parameters according to the light wavelength of a photoelectric switch transmitting end and a foreign matter; according to the Lambert-Beer law and the relation between the power P of the transmitting end of the photoelectric switch and the incident light intensity I0, the foreign matter penetration threshold Imin1 and the material overrun threshold Imin2 are calculated in combination with the detection distance L between the transmitting end of the correlation light switch and the receiving end of the correlation light switch, the environment attenuation coefficient K and the foreign matter characteristic parameters; the transmitting power P of the photoelectric switch is deduced according to the relation between the transmitting end power P of the photoelectric switch and the incident light intensity I0; the light intensity Iout1 of the receiving end of the photoelectric switch is compared with a foreign matter penetration threshold value Imin1 and a material over-limit threshold value Imin2 to judge whether the material is over-limit or not; through double-threshold models Imin1 and Imin2 of the Lambert-Beer law, foreign matter shielding and material overrun can be accurately distinguished.

The invention relates to an intelligent control method of a range hood and the intelligent range hood, and relates to the technical field of range hoods, an interference fringe image is obtained, the interference fringe image is formed by interference of scattered light, and the scattered light is formed by incident light emitted by an LED lamp of the range hood to irradiate lampblack in the environment; the incident light is monochromatic light; calculating the wavelength offset of the incident light based on the interference fringe image; calculating an attenuation coefficient of a lamp bead corresponding to the LED lamp module based on the wavelength offset; and on the basis of the attenuation coefficient, a driving current is generated so as to control the luminous intensity of the LED lamp module, so that oil mist particles generated during operation of the range hood are converted into a natural optical detection medium, online real-time detection of attenuation of LED lamp beads is realized by utilizing a Mie scattering interference principle, and the attenuation compensation reliability and precision are improved.

The present application relates to a scatter model derivation apparatus, a radiation image processing apparatus, a method thereof, and a storage medium. The apparatus includes: a reference image acquisition unit configured to acquire at least one reference image representing a reference object having different thicknesses, the at least one reference image being obtained by radiographing the reference object with a radiation detector in a state in which the reference object is interposed between the reference object and the radiation detector; a reference object thickness and radiation attenuation coefficient relationship derivation unit configured to derive a relationship between a thickness of the reference object and a radiation attenuation coefficient of the reference object corresponding to an energy characteristic of the radiation and reflecting an influence of beam hardening caused by the reference object and an object; a primary ray component derivation unit configured to derive a primary ray component corresponding to the thickness of the reference object included in the reference image based on the relationship between the thickness of the reference object and the radiation attenuation coefficient of the reference object; a scatter ray component derivation unit configured to derive a scatter ray component corresponding to the thickness of the reference object included in the reference image based on a difference between the reference image and the primary ray component; and a scatter model derivation unit configured to derive a scatter model representing a relationship between the thickness of the reference object and a proportion of the scatter ray component with respect to the primary ray component.

The application discloses an ultrasonic spectrum cross-scale particle size distribution detection method and system, which comprises the following steps: generating multiple groups of burst sound emission signals with different frequency ranges based on a pre-constructed linear frequency modulation signal constraint; sequentially exciting multiple transducers to emit ultrasonic waves and receive ultrasonic waves passing through a liquid to be detected; recording the received signals passing through pure water and the liquid to be detected; calculating the amplitude information and the attenuation coefficient of the received signal waveform at multiple different frequencies; constructing the attenuation coefficient at different frequencies and forming an observation matrix G; combining a coupled phase model HT and a BLBL analog optical absorption law to construct a theoretical model matrix A; performing inversion by calculating the following formula: AF=G, to obtain a solid-liquid two-phase medium particle size distribution F. By combining multiple groups of transducers with different frequency bands into an array, wideband detection from several kHz to several tens of MHz is realized, and finally the particle size scale range is from several microns to several millimeters, which is suitable for the detection requirements of high and low volume concentration particle size distribution.