1758results about "Transmissivity measurements" patented technology

The invention discloses an online monitoring method and system for the light transmittance of an optical lens, and relates to the technical field of precise optical detection. The objective of the invention is to solve the problem of large light transmittance calculation error caused by halo scattering noise interference, low optical path calibration precision of a complex curved lens, a measurement blind area of a large-aperture lens and environmental disturbance of a high-reflection / high-light-transmittance lens in the prior art. According to the scheme, a three-dimensional curved surface model is constructed based on Gray code structured light projection and ICP registration, a dynamic partition scanning instruction set is generated through an improved genetic algorithm, and multi-wavelength polarized light is driven to scan and collect multi-dimensional data; specular reflection and scattering noise are suppressed by combining an improved Stokes vector algorithm and an attention mechanism U-Net network, and the data precision of the complex curved surface is improved by adopting Bayesian optimization and Zernike polynomial weighted fusion; constructing a double-loop coupling optimization architecture to realize closed-loop adaptive optimization; according to the invention, the anti-interference capability, the complex lens adaptability and the full-aperture detection precision are obviously improved.

The invention belongs to the technical field of water quality monitoring, and particularly relates to a construction method and device of a turbidity testing system based on a photoelectric detector. Optical signal data and multi-wavelength optical signal data are obtained; performing intelligent switching and spectrum matching according to the signal data, determining a target wavelength, and obtaining characteristic parameters related to turbidity by combining a scattering and transmission combined measurement principle; measuring different standard solutions according to the characteristic parameters to obtain corresponding characteristic parameters, constructing a turbidity characteristic parameter data set, and establishing a characteristic ratio turbidity calibration model according to the data set; measuring and calculating the turbidity according to the characteristic ratio turbidity calibration model in combination with a dynamic temperature compensation algorithm, and meanwhile, performing temperature compensation; and transmitting the parameter information to a cloud database for storage, performing hierarchical processing, performing regular intelligent self-inspection at the same time, and feeding back abnormal data when an abnormality occurs. Therefore, the problems of insufficient range coverage, weak automatic calibration capability, susceptibility to temperature drift and the like in the prior art are solved.

The invention discloses a multi-mode end point detection system and method for a semiconductor dry process, and relates to the field of gas concentration detection. A gas absorption cell; the reference light path adjusting unit comprises an adjustable attenuator used for adjusting signals; the first photoelectric detector is used for detecting a transmission signal; the second photoelectric detector is used for detecting a reference signal; the lateral scattered light detector is used for detecting a scattered signal of the particulate matters in the gas absorption tank; and the signal processing unit is in signal connection with the first photoelectric detector, the second photoelectric detector and the lateral scattering light detector and is used for performing compensation calculation on the transmission signal based on the reference signal and the scattering signal so as to obtain a corrected gas absorption signal. By adopting the scheme, measurement signal distortion caused by optical mirror surface pollution and particulate matter scattering interference in a semiconductor tail gas optical detection technology is avoided.

Prediction of water quality parameters via monitoring, reporting, and verification sensor-geospatial fusion networks may be provided by a system comprising a plurality of separate water fixtures, wherein each of the plurality of separate water fixtures includes: an optical sensor, and a data transmission system configured to transmit sensor data from each of the plurality of separate water fixtures; and a contamination detection system configured to: receive sensor data from each of the plurality of separate water fixtures and remote sensing data; calculate changepoints within the sensor data; split the data into intervals at the changepoints; classify the intervals using a machine learning model; and identify a predicted contamination of a water source based on the classified intervals using the sensor data from a subset of the plurality of separate water fixtures and the remote sensing data to yield a near-time estimation of water quality parameters.

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 pole piece detection method, a detection device, detection equipment and a storage medium. The pole piece detection method comprises the following steps: acquiring first detection data corresponding to a composite coating on a pole piece irradiated by a first light beam and second detection data corresponding to the composite coating irradiated by a second light beam; based on the first detection data and the second detection data, determining the proportion of a target component in the composite coating; determining the surface density of the composite coating based on the second detection data; determining the surface density of the target component based on the proportion of the target component and the surface density of the composite coating; the correlation coefficient between the absorption coefficient of the first light beam and the atomic number is larger than the correlation coefficient between the absorption coefficient of the second light beam and the atomic number. Based on the mode, the surface density of the target component in the composite coating can be determined.

The invention discloses a seawater quality AI fusion intelligent monitoring system and method based on full spectrum data, and relates to the technical field of seawater quality monitoring. The system comprises a full-spectrum data acquisition module, a water quality initial evaluation and characteristic wave band identification module, an environment adaptive wave band selection module, a weight dynamic distribution and anomaly detection module, a multi-dimensional data fusion and optimization module and an abnormal event response and report module. The system collects original spectral data through a spectral sensor, establishes a basic water quality model after preprocessing, dynamically selects an effective wave band according to real-time environmental parameters, allocates weights, outputs water quality parameters after fusing data of a multi-dimensional sensor, and finally responds to abnormal events and generates a report. The system realizes intelligent and real-time monitoring of seawater quality, and can effectively deal with sudden pollution events and capture water quality fluctuation.

The invention relates to the technical field of peritoneal drainage, in particular to a peritoneal drainage system based on hemoglobin real-time monitoring and intelligent early warning. According to the technical scheme, the device comprises an abdominal cavity drainage tube, an optical sensing module, a microprocessor module and a wireless communication module, wherein the microprocessor module is configured to perform moving average filtering and dynamic trend modeling on hemoglobin concentration data; and triggering early warning according to a preset multi-level alarm condition. The hemoglobin concentration in the peritoneal drainage liquid is accurately monitored in real time, intelligent early warning and a personalized response mechanism are combined, the limitation of traditional manual observation is broken through, the timeliness and accuracy of bleeding risk identification are remarkably improved, the infection risk is reduced through the closed design, the medical care working process is optimized through the system integration capacity, and the medical care efficiency is improved. Data sharing and remote cooperation are achieved, intervention time windows are shortened, patient prognosis is improved, nursing resources can be released, medical quality is improved, and a comprehensive and efficient solution is provided for postoperative monitoring.

The invention belongs to the technical field of terahertz detection, and discloses a terahertz metamaterial enhanced spectrum detection system. Comprising the following steps: constructing a metamaterial enhancement factor tensor matrix according to the interaction between terahertz waves and a metamaterial; performing local field enhancement and surface plasma resonance optimization on the target sample based on the metamaterial enhancement factor tensor matrix to obtain a feature enhancement spectroscopy mapping function; constructing a multi-dimensional detection feature space based on a feature enhancement spectroscopy mapping function; a spectral signal enhancement topology network is formed based on the multi-dimensional detection feature space; enhancing the topological network based on the spectral signal, and generating an enhanced spectral feature discrimination function; obtaining a high-precision terahertz spectrum detection result based on the enhanced spectrum characteristic discrimination function; according to the invention, internal correlation between spectral characteristics can be mined, and comprehensive description of sample information is enhanced, so that high-precision terahertz spectrum detection is realized.

Methods and apparatus for processing a substrate are provided herein. For example, a gas supply configured for use with a processing chamber includes an ampoule that stores a precursor and comprises an input to receive a carrier gas and an output to provide a mixture of the carrier gas and the precursor to the processing chamber and a sensor assembly comprising a detector and an infrared source operably connected to an outside of an enclosure, through which the mixture flows, and a gas measurement volume disposed within the enclosure and along an inner wall thereof so that a concentration of the precursor in the mixture can be measured by the detector and transmitted to a controller.

The invention discloses a test device and a test method for filling fracture seepage-erosion visualization. The test device comprises a fracture overflowing model, a fluid flow control system and an image and pressure data acquisition and analysis system. The fracture overflowing model has the appearance of a real rock fracture surface, and the opening degree can be quantitatively adjusted through a filler gauge gasket; the fluid flow control system uses a peristaltic pump and a stirrer to provide constant-flow fluid and particle input for the fracture overflowing model; according to the test device, the light transmission principle is utilized, quantitative and visual observation and research of the seepage-erosion process of the filled fracture are achieved, and form and permeability evolution data of a particle erosion area in the filled fracture are accurately obtained.

The invention discloses a high-precision methane infrared spectrogram intelligent detection method and system, and relates to the field of infrared spectrum determination.The method comprises the steps that multi-wavelength signals of a target detection area are collected, the change process of the multi-wavelength signals is continuously monitored, a change sequence of the wavelength signals is obtained, the change sequence is analyzed, and a methane infrared spectrogram is obtained. Obtaining a first time sequence characteristic of the main absorption wavelength signal relative to the first reference wavelength signal and a second time sequence characteristic of the main absorption wavelength signal relative to the second reference wavelength signal, and determining a judgment threshold according to real-time change states of the first reference wavelength signal and the second reference wavelength signal; and when the change of the main absorption wavelength signal is detected to be earlier than the change of any reference wavelength signal and the change amplitude of the main absorption wavelength signal is greater than a judgment threshold value, calculating the methane concentration value according to the change time difference and the change amplitude ratio of the main absorption wavelength signal and the reference wavelength signal. By implementing the method, the response time of methane leakage identification can be reduced.

A system may include a flow valve coupled to a gas inlet of a landfill gas system and a pump coupled to the flow valve and configured to draw gas from the landfill gas system via the gas inlet. The system may further include an oxygen sensor comprising at least one laser configured to detect oxygen concentration in the gas, a carbon dioxide sensor comprising at least one infrared light source configured to detect carbon dioxide concentration in the gas, and / or one or more chemical sensors configured to sense concentrations of a respective one or more chemicals in the gas. A microprocessor may determine sensed data including at least the oxygen concentration, the carbon dioxide concentration, concentrations of the one or more chemicals, the static pressure, the atmospheric pressure, and / or a differential pressure, and communicate the sensed data to a mobile control device.

The invention discloses an intelligent intestinal tract monitoring method and system based on a multispectral sensing technology. The method comprises the following steps: acquiring spectral data of excrement through a multispectral sensor array integrated on a toilet seat; carrying out data processing by adopting segmented trapezoidal architecture mapping and a Spiking neural network, and extracting a light transmittance characteristic matrix; a nonlinear attention mechanism is realized based on a Hopfield network, and a light transmittance dynamic curve is generated; performing intestinal preparation degree evaluation by using a sparse MLP in combination with a motif structure optimization algorithm; and remote monitoring and intelligent feedback are realized through a 5G network. Objective quantitative evaluation of the intestinal preparation process is achieved, the preparation efficiency and quality of enteroscopy and intestinal surgery are improved, and the technical problems that traditional intestinal preparation evaluation is high in subjectivity and lacks real-time monitoring are solved.

The invention discloses a vernier effect and Sagnac ring-based dual-parameter optical fiber sensor, which belongs to the technical field of optical fiber sensors and comprises a broadband light source SLED (1), a coupler (2), a sensing structure A (3), a circulator (4), a sensing structure B (5) and a spectrum analyzer (6). The device comprises a first single-mode fiber (301), a polarization-maintaining photonic crystal fiber (302), a few-mode fiber (303), a fiber Bragg grating (304), a second single-mode fiber (501), a first hollow-core fiber (502) and a second hollow-core fiber (503). Parasitic interference is avoided by grinding the end face of the hollow-core optical fiber, and the reliability of the sensor is improved; two transmission peaks appear on the fiber bragg grating inscribed on the few-mode fiber through different mode numbers in the few-mode fiber, and gas concentration and temperature sensitivity of two signals can be calculated by observing drifting of the transmission peaks; an optical vernier effect can be formed through superposition of a Sagnac interferometer formed by polarization-maintaining photonic crystal fibers and an F-P interferometer formed by hollow core dislocation, and the gas concentration and the temperature sensitivity of the sensor are improved. The sensor has the characteristics of high sensitivity, wide measurement range, simple structure, small size and the like.

The invention discloses a guided-mode resonance refractive index detection device and method based on a longitudinal gradient grating structure, and belongs to the technical field of optical sensing and imaging spectrum detection, the guided-mode resonance refractive index detection device comprises a light source, an optical isolator, a polarization controller, a collimation beam expander, a guided-mode resonance sensing chip, an image detector and a signal processing unit which are connected in sequence; the guided-mode resonance sensing chip is of a transmission type structure, the top of the guided-mode resonance sensing chip is provided with a strip-shaped nano structure which is consistent in period but longitudinally gradually changed, and an image detector is arranged below the guided-mode resonance sensing chip and used for receiving a transmission light signal penetrating through the guided-mode resonance sensing chip, generating a transmission light image and transmitting the transmission light image to the signal processing unit; and the signal processing unit is used for analyzing the transmitted light image and inverting the refractive index of the medium to be measured according to the structure mapping model. According to the invention, the longitudinal structure gradual change characteristic is introduced into the guided-mode resonance chip, so that the spatial distribution control of the monochromatic light resonance response position is realized, and finally the imaging refractive index sensing without an optical splitter is realized.

The invention discloses an online quality monitoring method and system for fine dried noodle production and a storage medium. The method comprises the following steps: acquiring initial optical characteristic data of surface and internal tissues of the fine dried noodles, acquiring multiband reflection and transmission light signals through spectral analysis equipment, and determining initial characteristic distribution of surface dispersion and internal pore structures of the fine dried noodles; light source parameters are adjusted according to the initial optical characteristic data, and optimized light source parameter configuration is obtained; applying the optimized light source parameter configuration to a detection area through an optical fiber light guide technology to obtain scattering spectrum data; processing the scattered spectrum data to obtain an enhanced spectrum signal; analyzing the enhanced spectral signal through a spectral decomposition algorithm, and determining the tissue uniformity distribution of the fine dried noodles; according to the fine dried noodle tissue uniformity distribution, judging fine dried noodle quality indexes by adopting a classification algorithm to obtain a quality evaluation result; and generating real-time feedback data of the fine dried noodle production line according to a quality evaluation result, integrating quality indexes of multiple batches of fine dried noodles, and determining production optimization parameters.

The invention relates to the technical field of printing machine degumming, in particular to printing machine conduction band degumming equipment which comprises a seat body, a mounting vertical plate is arranged on the seat body, a conduction band conveying mechanism for tightening a conduction band is arranged on the mounting vertical plate, and a conduction band degumming mechanism for continuously treating the conduction band is arranged on the seat body. An auxiliary degumming mechanism is arranged on one side of the mounting vertical plate and can remove residual glue on the conduction band degumming mechanism, the conduction band degumming mechanism comprises a mounting bracket fixedly mounted on the seat body, and an arc-shaped heating plate for preheating the conduction band to soften a glue layer is arranged on the mounting bracket. By arranging the guide belt degumming mechanism and adopting a three-step synergistic process of preheating by an arc-shaped heating plate, spraying a degumming agent by an inclined nozzle and flexibly scraping by a polytetrafluoroethylene scraper, a glue layer can be automatically heated and softened and permeated by a solvent before mechanical glue scraping, so that the degumming effect can be effectively improved, and the degumming efficiency is improved. And the damage to the conduction band caused by excessive mechanical glue scraping strength can be prevented.

The invention discloses a liquid qualification detection system and method, and belongs to the technical field of intelligent detection and data analysis, multi-dimensional response signals of to-be-detected liquid under excitation of different frequencies are obtained, and a multi-dimensional response data set containing optical, acoustic, electrical and thermal physical channels is constructed; extracting a liquid component behavior characteristic spectrogram through a multi-modal characteristic fusion module; a liquid qualification judgment model is constructed based on a clustering enhanced convolutional neural network and a multi-scale attention mechanism, and classification prediction of the liquid qualification state is realized; further combining confidence coefficient calculation with historical sample database comparison, performing adaptive calibration on a prediction result, and outputting a detection result and a risk level; if the detection result is unqualified or the risk level exceeds the threshold value, an alarm mechanism is automatically triggered, and abnormal feature parameters are marked; the method has the advantages of high detection precision, high response speed, high anomaly recognition capability, excellent traceability and the like, and is suitable for scenes of liquid quality control, environment detection, biological sample analysis and the like.

The invention discloses a robot joint transparency testing method and device, and belongs to the technical field of robot joint testing. According to the method, the transmission transparency is evaluated by testing three indexes including the ratio of joint reverse drive torque to the maximum output torque, the torque control bandwidth and the correlation between motor current and output torque; the device comprises a driving mechanism, a loading mechanism and a test platform with a sliding assembly, the driving mechanism is connected with a joint input end through a coupling, and the loading mechanism is connected with an output end. According to the invention, a quantitative evaluation system of transmission transparency is established, a modular device capable of separably testing joint motor reverse drive torque (distinguishing charged / uncharged states) and speed reducer forward / reverse drive efficiency is designed, and accurate data support is provided for joint performance optimization.

The invention relates to the technical field of agricultural intelligent prediction, and discloses a fertilization decision-making system fusing soil and rice growth vigor information data acquisition and analysis, which is characterized in that a microcontroller controls an irrigation valve to apply an irrigation pulse with a preset duration, and a soil humidity sensor is used to monitor a time interval when moisture falls back from a peak value to a baseline; according to the method, irrigation behaviors are reconstructed into an active diagnostic tool, traditional chemical index detection is replaced by physical process dynamic monitoring, lag adjustment is converted into a pre-prediction mode, meanwhile, acoustic verification and a differential correction mechanism are combined, and the crop transpiration rate is predicted. And an anti-environmental interference accurate decision-making system is constructed on the basis of low-cost hardware.

To improve measurement accuracy.A concentration measurement device includes: an absorbance measurement unit configured to measure absorbance in a plurality of different wavelength regions for a mixed liquid in which different liquids are mixed; and a control unit configured to correct a concentration of at least one liquid on the basis of absorbance in the plurality of different wavelength regions. The absorbance measurement unit measures absorbance in two wavelength regions. The absorbance measurement unit measures absorbance in a spectrum. Particles contained in one of the different liquids are different from particles contained in another of the different liquids. Each of the different liquids is a suspension or a solution. The mixed liquid includes a white blood cell suspension and a red blood cell suspension. The control unit calculates a mixing ratio of a liquid mixed in the mixed liquid, from absorbance in the plurality of different wavelength regions. The control unit corrects the absorbance on the basis of a mixing ratio of a liquid mixed in the mixed liquid.

The invention belongs to the technical field of optical imaging, and discloses a multifunctional image edge enhancement device based on spiral phase contrast imaging, which comprises a light source system, an optical imaging system and an edge enhancement detection system which are arranged in sequence, the light source system is used for generating collimated linear polarization laser; the optical imaging system comprises a first 4-f system and a round hole diaphragm which are sequentially arranged on a light path; a sample to be tested is arranged between the light source system and the first 4-f system; the edge enhancement detection system comprises a first lens, a vortex wave plate, a second lens and an imaging unit which are sequentially arranged on a light path; the first lens and the second lens form a second 4-f system; linearly polarized laser output by the light source system is transmitted by a to-be-detected sample, enters the first lens after passing through the first 4-f system and the round hole diaphragm, and then is imaged on the imaging unit after passing through the vortex wave plate and the second lens in sequence. According to the invention, edge enhancement can be realized, and the contrast and resolution of the image are improved.

The invention relates to the field of mining laser gas detection, in particular to a modulation and demodulation method and system for carrier noise suppression, and the modulation and demodulation method comprises the following steps: S1, generating a driving current sequence through a laser gas sensor; s2, collecting a light intensity sequence to carry out data reconstruction; s3, extracting a harmonic signal, sending the reconstructed sequence into a lock-in amplifier, and respectively extracting a second harmonic signal and a first harmonic signal; and S4, detecting the gas concentration through the ratio by using the mapping relation between the gas concentration and the ratio of the second harmonic signal to the first harmonic signal. According to the method, a continuous data discrete reconstruction technology is introduced into a modulation and demodulation process, and a reference time sequence is generated by utilizing the characteristics of a laser output signal, so that self-matching and dynamic adjustment of modulation frequency are realized, external signal interference is effectively avoided, and the harmonic extraction stability is improved; meanwhile, the hardware structure is simplified, and the adaptability of the system to different gas absorption spectral lines is enhanced.

The invention provides a semiconductor epitaxial growth parameter inversion method, a semiconductor epitaxial growth parameter inversion system, a semiconductor epitaxial growth parameter detection device and a related product, and relates to the technical field of semiconductor detection. The gas phase transmittance of a detection light path is further obtained, quantitative compensation is carried out on the actually measured reflection spectrum in the semiconductor epitaxial growth process, the compensated target reflection spectrum is closer to the real optical response of a semiconductor epitaxial film, and therefore spectral shape distortion and system errors caused by gas phase absorption superposition are effectively weakened. And the accuracy and the stability of the inverted growth parameters are obviously improved. Furthermore, the quantitative compensation value can be adaptively updated according to the fluctuation of the working condition, the inversion deviation introduced by the drift of the working condition is reduced, the consistency and comparability of the process are improved, and more reliable end point control and parameter closed-loop optimization can be conveniently realized.

The invention discloses a coated glass detection device, and relates to the technical field of coated glass detection. The device specifically comprises a base, two detection tables are symmetrically arranged at the top of the base in the length direction, a shell is arranged at the top of the base, an inlet and an outlet are formed in the two ends of the shell respectively, the detection tables are located in the shell, and a plurality of first balls are arranged at the tops of the detection tables at intervals; a conveying mechanism used for conveying the coated glass is arranged at the top of the base, a cleaning mechanism used for cleaning the upper surface and the lower surface of the coated glass is arranged in the shell, and a detection assembly used for detecting the thickness and the light transmittance of the coated glass is arranged on the cleaning mechanism. The cleaning mechanism is used for cleaning the upper surface and the lower surface of the coated glass, and the upper surface and the lower surface of the conveyed coated glass can be gradually cleaned in cooperation with the cleaning mechanism in the conveying process of the conveying mechanism, so that the detection accuracy of the detection assembly is greatly improved.

A method and instrument for determining optical density of a solution is disclosed. A flow cell 1 having at least three light paths (4a, 4b, 4c) is provided (100), wherein each light path has a respective predetermined path length, l. Absorbance readings are taken (400), A, of the solution at the at least three light paths (4a, 4b, 4c). For each pair of light paths, a slope, αc, is calculated (500) by dividing a difference in absorbance reading, ΔA, with a difference in path length, Δl. The calculated slopes, αc, are compared (600), and a) if the calculated slopes, αc, are the same, the slope is used for determining (700) optical density of the solution, or b) if the calculated slopes, αc, are not the same, the steepest slope of the calculated slopes is used for determining (701a) optical density of the solution, or the slope of the calculated slopes being in the range of an absorbance reading of 0.01 to 2 is used for determining (701b) optical density of the solution.

The invention discloses full-automatic polymer film quality inspection equipment and a using method thereof, and relates to the technical field of film quality inspection.The full-automatic polymer film quality inspection equipment comprises a first frame, a light-emitting plate is installed at the top of the first frame in a penetrating mode, second plate bodies are symmetrically installed on the two sides of the first frame, and first hydraulic cylinder components are symmetrically installed at the tops of the second plate bodies; a tension sensor component is installed at the output end of the first hydraulic cylinder component, a second frame body is installed at the input end of one side of the tension sensor component, a third plate body is installed on one side of the second frame body, and a film pressing mechanism is arranged at the top of the third plate body. A thin film is placed on the top of the first frame, the two side ends of the thin film are located above the first supporting rods, then the first hydraulic cylinder component drives the pressing plate and the first supporting rods to move towards the outer sides of the two sides, and therefore the thin film is stretched, the hole area of the thin film can be increased; therefore, the photosensitive sensor component can detect the light leakage position of the film hole more easily, and the detection structure is more accurate.

The invention discloses an intelligent tea mat tasting system based on multispectrum and deep learning, and belongs to the technical field of artificial intelligence, the system comprises a tea mat body, a multispectral sensor, a PLC and a terminal device, the multispectral sensor is arranged at the bottom of the tea mat body and comprises two light sources and two light sensing elements, and the PLC is connected with the terminal device; the PLC receives light signals, converts the light signals into electric signals and transmits the electric signals to the terminal device, and the terminal device comprises a multi-channel signal processing module, a peak value feature extraction module, a chaotic dynamics analysis module, a quality mapping module, a multi-standard comparison module, a probabilistic reasoning module, a recommendation generation module and a display module. A tea soup quality model is established through nonlinear feature extraction of multi-channel spectral signals in combination with chaos dynamics analysis, and tea quality evaluation is realized by utilizing three-dimensional flavor topological mapping and multi-standard library comparison, so that objective quantitative evaluation of tea quality is realized.

The invention provides a fresh tobacco leaf chlorophyll content integrated model prediction method, medium and system, and belongs to the technical field of tobacco leaf detection.The method comprises the steps that transmission spectrums of fresh tobacco leaves with different maturity degrees are collected and subjected to black and white correction; dividing the leaf into six areas, collecting spectrums, and calculating an average value; carrying out multiple pretreatments on the original spectrum and dividing a data set; analyzing and establishing a relationship between the chlorophyll content and the spectrum based on a photosynthetic pigment absorption mechanism, and screening key wavelengths; the FMR-NSGA multi-objective optimization algorithm is fused with the F test and mutual information method to screen characteristic wavelengths; dynamically eliminating redundant features by using a recursive feature elimination method; establishing a parameter mapping function, and automatically determining a model hyper-parameter according to the wavelength importance index; a Stacking framework is constructed, hyper-parameters are dynamically optimized by adopting a grey wolf optimization algorithm, the prediction precision is improved, and the technical problem of rapid and accurate prediction of the chlorophyll content of the fresh tobacco leaves is solved.