277 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 discloses an Airy beam attenuation compensation method based on a neutral density filter and an imaging system, and belongs to the technical field of microscopic imaging, the method comprises the following steps: shaping and filtering a light beam emitted by a light source through a shaping device, and then generating an Airy beam; light beams pass through a neutral density optical filter, and attenuation compensation of different degrees is achieved on the light beams at different positions on a light beam propagation transverse plane; enabling the light beam to pass through a scanning galvanometer to form a light sheet, enabling the light beam to enter from one side of the sample, and exciting the sample to generate a fluorescence signal; the sample is imaged, an imaging result is collected through a camera, and the light intensity change in the exciting light propagation process is analyzed; and measuring an attenuation coefficient by adopting a biological spectrophotometer, and determining parameters of the neutral density filter. According to the attenuation compensation method, the advantages of Airy beams are combined, and a new optical element (neutral density filter) is introduced to achieve the purpose of attenuation compensation.

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 discloses a laser damage threshold testing method, and relates to the field of damage testing, and the method can accurately evaluate the attenuation condition of laser in the underwater propagation process by installing an environment sensor group, collecting underwater propagation medium data in real time and performing real-time processing and analysis through a central processing system. A laser intensity attenuation coefficient is calculated through a scattering and absorption algorithm model, preliminary test evaluation is carried out on the laser intensity attenuation coefficient and a laser damage threshold value, and whether the laser intensity exceeds the tolerance upper limit of equipment in the current underwater working environment or not is detected in time. And if the laser intensity is abnormal, the system triggers a dynamic adjustment mechanism to adjust the output power, wavelength and pulse frequency of the underwater laser transmitter so as to reduce the laser intensity and avoid equipment damage. Therefore, the underwater laser transmitter can be effectively protected, it is ensured that the underwater laser transmitter safely and stably works in a complex underwater environment, and the tolerance and safety of equipment are greatly 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 discloses a water body diffusion attenuation coefficient inversion method, system and device based on an underwater signal, and a storage medium, and belongs to the technical field of laser remote sensing. The method comprises the following steps: acquiring laser radar parameter data, laser radar actual measurement point cloud data of a target water area and target water area environment data; extracting a water bottom sounding point according to the point cloud data measured by the laser radar; calculating a water bottom photon counting rate based on the water bottom sounding point; water depth error correction is carried out on the water bottom sounding point, and the effective water depth and the included angle between the corrected water bottom sounding point and the light beam direction are calculated; and constructing a water bottom signal model based on the laser radar parameter data, the target water area environment data, the water bottom photon counting rate, the effective water depth and the corrected included angle between the water bottom sounding point and the light beam direction, and calculating a water body diffusion attenuation coefficient through the water bottom signal model. The diffusion attenuation coefficient of the water body is calculated through the water bottom sounding point, the anti-noise capability is high, and the monitoring precision of the water quality of the near-shore water area can be improved.

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 present invention discloses a broadband signal direct positioning method based on multi-frequency cost function fusion under unknown attenuation coefficient, including: distributed monitoring nodes receive and sample broadband signals of radiation sources, and transmit the sampled broadband signals to a central site; the central site integrates all received data, performs data preprocessing after segmenting the received data, and obtains narrowband signals corresponding to each frequency in the broadband signal; the covariance matrix of each narrowband signal is characteristically decomposed to obtain its noise subspace, and a new cost function is constructed according to the orthogonal relationship in the multi-band; the positioning area and the search grid size are selected, and a new cost function is adopted, and the gridded spectrum peak search is performed in the selected area in combination with the Lagrange multiplier method when the attenuation coefficient is unknown, and finally the radiation source coordinate estimation value is obtained. The present invention can effectively reduce the time cost required for positioning and effectively improve the estimation accuracy.

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 a substance identification method based on self-adaptive quantitative decomposition, which comprises the following steps of: establishing a polynomial relationship among coefficients, energy and effective atomic numbers participating in substance identification in the interaction of rays and substances, and scanning and reconstructing by using various known materials as calibration substances; based on the linear attenuation coefficients of different energy regions of the calibration object, the real effective atomic number and density of the calibration object and the polynomial relation obtained before, effective energy of the corresponding energy region is determined; in actual operation, after scanning reconstruction is carried out on a to-be-decomposed substance, due to the fact that effective energy is determined through calibration and linear attenuation coefficients reconstructed in different energy regions are only related to effective atomic numbers and densities, two ray and substance interaction formulas containing variable parameters are simultaneously established, and solving is carried out; and the effective atomic number and density of the scanned substance can be accurately obtained. According to the invention, correlation coefficients can be automatically adjusted according to different substances, so that the decomposition precision is improved.

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 spaceborne photon counting laser radar ocean profile inversion method based on broadening matching. The method comprises the steps of land / ocean photon point cloud quality control; detrending the elevation of the photon point cloud; generating a system pulse response function; establishing a water body profile signal; performing post-pulse correction; and carrying out ocean optical parameter inversion, combining the corrected water body profile signal Sc (z) with a laser radar equation, and carrying out water body diffusion attenuation coefficient kd inversion based on the consistency hypothesis that the subsurface ocean optical parameter of the Collis method does not change obviously along with the depth. The post-pulse correction method based on the broadening matching theory is provided for solving the post-pulse problem of an ATLAS system, the problem that a traditional post-pulse correction method is only suitable for part of sea areas is solved by matching system pulse response functions with the same pulse width on the premise of fully considering the effect of the sea surface on signal broadening, and the post-pulse correction method is suitable for part of sea areas. And the robustness of the satellite-borne photon counting laser radar ocean data processing method is effectively improved.