233 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 belongs to the technical field of ocean water color and ocean ecology, and relates to a near-field actual measurement data set construction method and system for ocean net primary productivity, and the method comprises the steps: collecting profile data observed by a biogeochemical buoy BGC-Argo; s2, respectively performing data quality control processing on the Chl-a profile data and the bbp (700) profile data to obtain profile data after quality control; s3, based on the profile data after quality control, matching remote sensing parameters of a medium-resolution imaging spectrometer (MODIS); wherein the remote sensing parameters comprise photosynthetically active radiation (PAR) and a diffusion attenuation coefficient Kd (490) at a 490nm wave band; s4, on the basis of the profile data after quality control, PAR and Kd (490), utilizing a CbPM model to calculate marine net primary productivity NPP profile data; and S5, carrying out integration on the NPP profile data in a true light layer depth range to obtain NPP data of water column integration. The method can economically and efficiently obtain a large number of NPP samples actually measured in the near field, and makes up for the deficiency of existing actually measured data.

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 provides a radiation field high-precision reconstruction method based on dynamic geometry aggregation, and relates to the technical field of radiation field reconstruction and computational physics crossing. The method comprises the following steps: extracting a corresponding attenuation coefficient as a priori value; generating a Gaussian radiation element at the position of the monitoring point; calculating the radiation intensity of any point in the space; suppressing mutation of attenuation coefficients of adjacent primitives; gathering to a high dose zone or dispersing to a low dose zone; and generating three-dimensional radiation dose rate distribution by adopting a differentiable split rendering pipeline, and calculating the radiation intensity of any query point in real time by outputting a parameterized Gaussian primitive set. Through the dynamic Gaussian primitive aggregation-physical constraint optimization dual-drive reconstruction framework, the radiation field distribution can still be accurately restored under the sparse detector condition, the error is greatly reduced compared with the traditional method, and the calculation efficiency is obviously improved.

The invention relates to the field of mine geophysical exploration, and discloses a fully mechanized coal mining face geological abnormal area prediction method based on multi-source data, and the method comprises the steps: carrying out the detection of a fully mechanized coal mining face through a radio pit penetrating device and a slot wave seismograph, and obtaining a working face CT image and a slot wave energy attenuation coefficient image; analyzing a distribution rule of a plurality of abnormal prompt areas in the working face CT image, and delimiting a plurality of candidate abnormal areas to obtain an average abnormal amplitude value of each candidate abnormal area; analyzing a plurality of slot wave attenuation high value abnormal regions in the slot wave energy attenuation coefficient imaging, and carrying out overlapping region calculation on the plurality of candidate abnormal regions to obtain a plurality of overlapping regions; carrying out drilling point arrangement and drilling according to the plurality of overlapped areas, and measuring a plurality of drilling trajectories and drilling data corresponding to each drilling point through a trajectory instrument; and according to the plurality of drilling trajectories and the drilling data corresponding to each drilling point, abnormal region prediction data is generated, so that accurate prediction of the abnormal region is realized.

The invention provides a seawater chlorophyll a concentration three-dimensional remote sensing detection method, medium, equipment and product, and relates to the technical field of ocean remote sensing. The method comprises the following steps: acquiring satellite remote sensing data and photon counting laser radar data of a to-be-detected area; obtaining a seawater chlorophyll a concentration profile based on the diffusion attenuation coefficient; the method comprises the following steps: constructing an improved VGGNet model which comprises a multi-branch VGGNet, replacing standard convolution in the VGGNet with depth separable convolution, and introducing an SE attention mechanism into a backbone network; the time and position variables, the satellite remote sensing data, the photon density, the backscattering coefficient, the diffusion attenuation coefficient and the water depth serve as input variables of the model, the seawater chlorophyll a concentration profile serves as a target variable, and the model is trained; and inputting new satellite remote sensing data into the trained model to generate three-dimensional distribution prediction of the seawater chlorophyll a concentration. The method can better extract the features in the data, improves the prediction precision of the model, and is suitable for a complex water body environment.

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 provides a multi-sensor data fusion method and system based on an intelligent pod. According to the method, a radiation data flow of an intelligent pod multispectral sensor in an electromagnetic interference field is collected; based on the data, the quantitative attenuation coefficient of the radiation value of each wave band in the interference field is calculated by using a radiation transfer equation. And generating a directional beam of the phased-array antenna by using the coefficient, and scanning a target area to obtain echo data. And finally, performing joint sparse representation on the original radiation data stream and the target echo data to generate a fusion result. The invention discloses multi-sensor data fusion based on an intelligent pod. According to the method, the anti-interference wave beam scanning target is dynamically generated by quantifying the attenuation of electromagnetic interference on radiation of each wave band, and the sensing performance of the intelligent pod in a complex electromagnetic environment is improved by combining the joint sparse representation and fusing the multi-source data.

The invention provides a shallow sea multiband substrate reflectivity remote sensing detection method and a shallow sea multiband substrate reflectivity remote sensing detection system. According to the method, four-band multispectral data and ICESat-2 laser sounding data are combined, a strategy of selecting feature points and iteratively searching optical parameters of a water body is adopted, and an index relationship between semi-analysis substrate reflectivity and spectral parameters is utilized to globally constrain a radiation transmission model; a quadratic polynomial model between the chlorophyll concentration of the feature points and the remote sensing reflectivity of the blue and green wave bands is constructed, and large-range rapid inversion of the optimal water attenuation coefficient is achieved; and further combining with a surface remote sensing reflectivity product to construct a climate state monthly average deepwater reflectivity data set, thereby realizing large-range efficient detection of optical shallow sea multiband substrate reflectivity without actually measured data support. According to the method, the application efficiency of the four-waveband multispectral data with the most abundant historical data is improved, the method is high in practicability, and the method has great significance in protection and management of shallow sea coral reef benthic ecology.

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 discloses an FPGA-based sound wave multiple reflection sediment concentration measurement method. The method comprises the following steps: constructing an ultrasonic underwater measurement system capable of realizing ultrasonic multiple reflection and driving the ultrasonic underwater measurement system to work; an ultrasonic transducer is driven by the FPGA to emit ultrasonic waves; echo signals of the ultrasonic waves passing through the turbid liquid are collected, subjected to analog-to-digital conversion and then transmitted to the FPGA; digital filtering and peak detection are carried out on the echo data based on the FPGA; according to a peak value detection result, an ultrasonic attenuation coefficient is calculated based on the FPGA in combination with numerical integration; for a plurality of turbid liquid bodies of the same type with known sediment concentrations, the second step to the fifth step are executed respectively, ultrasonic attenuation coefficients under different concentrations are obtained, and then fitting is conducted on the ultrasonic attenuation coefficients and the concentrations to obtain a regression equation of the attenuation coefficients and the sediment concentrations; and executing the second step to the sixth step to obtain an ultrasonic attenuation coefficient aiming at a to-be-detected turbid liquid body, and substituting the ultrasonic attenuation coefficient into the regression equation to obtain the sediment concentration of the to-be-detected turbid liquid body. According to the method, the defects of the traditional method in real-time performance and precision are overcome, and the real-time performance and accuracy of sediment concentration measurement are remarkably improved.

A method for calculating an IPA of an intravascular OCT image, relating to the technical field of medical instruments, the method including: acquiring an intravascular OCT image (S101); determining a calcified plaque region of the intravascular OCT image (S102); determining a light attenuation coefficient of the intravascular OCT image, where the light attenuation coefficient of the intravascular OCT image does not include a light attenuation coefficient of the calcified plaque region (S103); and determining an IPA of the intravascular OCT image according to the light attenuation coefficient of the intravascular OCT image (S104). The above method can increase accuracy of an IPA.

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 discloses an underwater pore medium stratum bubble size calculation method, and relates to the technical field of underwater pore medium stratum geophysical exploration, and the method comprises the following steps: S1, obtaining rock physical parameters of an underwater stratum to be detected; s2, a sound wave transmitting transducer and a receiver are deployed at a point to be measured, the sound wave transmitting transducer transmits a set signal to determine a measurement frequency range, and the receiver records a sound wave speed and an attenuation coefficient of each frequency point; s3, judging whether adjacent frequency points meeting the requirements of sound wave speed reduction and attenuation coefficient increase exist or not, and if yes, re-measuring and extracting the sound wave speed and attenuation coefficient corresponding to the bubble resonance characteristics; otherwise, recording the bubble-free characteristic times, and if the times do not reach the threshold value, continuing to adjust the number of the frequency points and returning to the step 2; s4, constructing a target function; and S5, under the condition that the angular frequency and the sound wave speed are known, solving the independent variable, the bubble radius and the bubble saturation which enable the objective function to be minimum, and determining the final bubble size and saturation.

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 discloses a nuclear accident external irradiation dose field calculation method based on a limited smoke cloud model and a computer readable storage medium, and solves the technical problems of poor matching performance, relatively long calculation time, relatively low efficiency and the like in the prior art. The method comprises the following steps: firstly, acquiring a radionuclide source item file released by a nuclear accident and corresponding original data; calculating to obtain a source item nuclide information data matrix; according to the gamma ray energy of each nuclide, calculating to obtain a gamma ray linear attenuation coefficient and an air energy mass absorption coefficient of each nuclide; calculating to obtain the grid number and the grid number of each grid penetrated by gamma rays of other grids in the smoke cloud activity concentration field and the ground deposition activity field; finally, the deposition external irradiation dose and the smoke cloud external irradiation dose of each grid are obtained through calculation, and therefore nuclear accident external irradiation dose field calculation is completed. According to the method, automatic and refined calculation of the external irradiation dose during the nuclear accident can be realized, and the calculation efficiency is relatively high.

The present disclosure discloses a self-adaptive trigger acquisition method of an airborne bathymetric survey laser radar, including calculating a distance between laser light and a water surface and a height between the laser radar and the water surface, and obtaining delay time before sampling; converting water surface and water bottom echo numerical values into corresponding voltage amplitude values, then calculating corresponding electric signals, and calculating light energy by a photoelectric conversion relation; determining a water body attenuation coefficient by water surface and water bottom light energy losses; and determining a maximum water depth by the solved water body attenuation coefficient, then solving sampling time, and finally realizing self-adaptive trigger acquisition. The present disclosure mainly solves the technical problem that the conventional acquisition method cannot realize self-adaptive acquisition of water bottom topographic data in different water areas on laser radar devices with different scanning angles.

The invention belongs to the technical field of image processing, and discloses an underwater dredging robot terrain recognition method and system, and the method comprises the steps: obtaining an illumination attenuation coefficient through the shooting depth and plankton information, accurately correcting the influence of illumination on an image, and carrying out the brightness adjustment of the image based on the illumination attenuation coefficient, so as to enable the terrain features to be more prominent. Utilizing Laplace decomposition to obtain a multi-layer topographic image, and realizing multi-scale analysis; the accuracy of terrain analysis is improved by screening an edge texture region; the defogging weight is determined in combination with the illumination attenuation coefficient, and the dark channel prior is adopted for defogging recovery, so that the defogging effect is effectively removed, and the image visibility is improved. And reconstructing and synthesizing a complete image through an inverse Laplacian pyramid to obtain an underwater topographic image of which the quality is comprehensively improved, and further obtaining underwater topographic information. The method not only improves the image quality, but also achieves the precise analysis and recognition of the underwater topography, and provides powerful technical support for the research of the underwater topography.

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 present invention relates to the field of heat treatment control technology, and in particular to a quenching and tempering device and method for forgings. The method installs thermocouple sensors at different detection depths in the forging, obtains temperature data of the heating process; analyzes the numerical changes of the temperature data to determine the temperature change index; determines the abnormal interference degree of the central depth of the two detection depths according to the fluctuation of the temperature change index at two adjacent detection depths; determines the abnormal interference attenuation coefficient according to the depth difference and abnormal interference degree difference of the two adjacent central depths; and then determines the interference index of the detection depth; determines the degree of temperature uniformity requirement according to the interference index and temperature data, and adjusts the heating speed of the forging at the current moment according to the degree of temperature uniformity requirement. The present invention can analyze the temperature changes at different detection depths, eliminate the influence of abnormal interference, facilitate the uniform heating effect of the forging, and improve the quality of quenching and tempering of the forging.

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 provides a prediction method and a work control method for a light attenuation coefficient of a flame photometric detector, and the prediction method comprises the steps: obtaining sample detection data and to-be-detected combustion data of a plurality of detection samples tested by the flame photometric detector, and determining a process combustion coefficient in a light attenuation dynamic relational expression according to the sample detection data; calculating a light attenuation initial prediction coefficient corresponding to the to-be-measured combustion data through the light attenuation dynamic relational expression, inputting the to-be-measured combustion data and the light attenuation initial prediction coefficient into an error prediction model, and calculating a residual prediction coefficient by using the error prediction model, therefore, a light attenuation preset coefficient of a to-be-detected product input by the flame photometric detector is determined based on the light attenuation initial prediction coefficient and the residual prediction coefficient, so that the test accuracy of the flame photometric detector is reflected, the light attenuation of the flame photometric detector can be accurately and directly predicted, and the self-adaptive compensation of a combustion dynamic mechanism and a data difference value is fused. And error accumulation in long-term operation of the flame photometric detector can be inhibited.