46 results about "Infrared spectroscopy technique" patented technology

The invention discloses a method for realizing spectrum reconstruction based on spectrum physical calibration, and belongs to the technical field of infrared spectrum. The method comprises the following steps of S1, data acquisition, S2, spectrum-electricity joint data preprocessing, S3, spectrum reconstruction neural network construction, S4, model training, S5, multi-objective optimization and S6, model testing. In the constructed spectrum reconstruction neural network, the neural network is optimized by combining the spectrum physical calibration error and the multi-objective optimization algorithm, and the reconstruction precision and efficiency of the spectrum are improved.

The invention discloses a rubber pyrolysis component detection method based on an infrared spectrum technology, particularly relates to the technical field of rubber pyrolysis component detection, and is used for solving the problems of high-concentration signal saturation, low-concentration component leak detection and pyrolysis stage data fault caused by fixed parameters in an existing infrared spectrum detection method. The method comprises the following steps: dynamically dividing a pyrolysis stage boundary and adjusting scanning frequency and integral time of a spectrometer in real time to realize adaptive matching of detection parameters and a product release rate, and meanwhile, eliminating a time domain offset error and reconstructing a complete spectrum data chain by combining cross-stage spectrum data fusion and a pyrolysis dynamics continuity closed-loop verification technology; and finally, through a collaborative correction mechanism of multi-stage weight distribution and integral time compensation, outputting a high-confidence component type and a concentration ratio, and providing accurate data support for rubber pyrolysis process optimization and pollutant monitoring.

The invention discloses an infrared spectrum clustering analysis-based quality classification method for kummerowia striata, which comprises the following steps of: acquiring original spectrum data of kummerowia striata based on an infrared spectrometer; carrying out smoothing processing and correction processing on the original spectral data to obtain corrected spectral data; identifying the position and the intensity of an absorption peak from the corrected spectral data, and judging whether an overlapping peak or an acromion exists or not; if overlapping peaks or shoulder peaks exist, separating the overlapping peaks by adopting a peak separation algorithm, and extracting independent absorption peak characteristics; carrying out clustering analysis on the extracted absorption peak characteristics to obtain a clustering analysis result; based on the clustering analysis result, establishing a classification model; and classifying the newly collected spectral data based on the classification model to obtain the quality grade of the kummerowia striata. According to the method, the infrared spectrum technology is combined with the data processing and machine learning methods, so that objective, accurate and efficient evaluation of the quality of the kummerowia striata is realized, and powerful support is provided for quality control of the kummerowia striata industry.

The invention discloses a method for measuring the content of water-insoluble solids in a nanocrystallized lycopene liquid beverage, which comprises the following steps: acquiring spectral data of a sample by an infrared spectrometer, extracting spectral characteristics and constructing a spectral matrix; calculating a water-insoluble solid content value to form a numerical matrix; removing spectral noise by using a Savitzky-Golay convolution smoothing method, and calculating a second derivative spectrum; main characteristic components are extracted through a partial least square method, and a mathematical relationship model between spectral characteristics and the water-insoluble solid content is established; and finally, inputting sample spectrum data into the model, and predicting the content of water-insoluble solids. According to the method, the mathematical relationship model is established by combining the infrared spectrum technology with the partial least square method, so that the rapid and nondestructive detection of the water-insoluble solid content in the nanocrystallization lycopene liquid beverage is realized.

The present invention relates to the technical field of sludge moisture content measurement, and discloses a sludge moisture content measurement system based on multiple infrared detection reflection bands. The system includes a supporting plate for supporting sludge, an infrared light source for emitting infrared light to illuminate the sludge, an infrared detection array composed of a plurality of infrared detectors, each of which is equipped with a filter. The filter is used to limit the wavelength range of the infrared light received by the infrared detector, allowing only infrared light within the wavelength range to pass through, thereby causing the infrared detector to output a corresponding voltage signal; and a signal processing module for receiving and processing the voltage signal output by the infrared detector. The sludge moisture content measurement system based on multiple infrared detection reflection bands uses infrared spectroscopy technology to achieve rapid, non-contact measurement of sludge moisture content without the need for sampling or destroying sludge samples, and is also conducive to achieving online real-time monitoring.

The invention discloses an agricultural product pesticide residue rapid detection integrated system based on spectral imaging, which belongs to the technical field of agricultural product quality safety detection, and comprises a multi-band spectrum acquisition module, a differential spectrum analysis module, a feature fingerprint identification module, an automatic calibration module, a multi-pesticide synchronous detection module and a rapid output module, the surface of an agricultural product is scanned by adopting a multi-band near infrared spectrum technology, matrix interference of a sample is eliminated through differential spectrum analysis, synchronous detection of various pesticide residues is realized by utilizing characteristic fingerprint identification, long-term detection precision is kept through an automatic calibration mechanism, detection is completed within 90 seconds, and a result is output. The method is high in detection speed, high in accuracy and high in universality, and an efficient and practical technical scheme is provided for agricultural product safety monitoring.

The application provides a potato stress-resistant high-quality germplasm resource screening and directional breeding improvement method, and belongs to the technical field of crop germplasm resource screening and breeding.The application builds a compound stress garden by standardizing virus-free seedling of potato germplasm, and simultaneously applies four gradient stresses of drought, saline-alkali, night low temperature and continuous cropping of root knot nematode;combined with progressive agronomic phenotype observation of potato seedling stage and tuber bulking stage, inferior single plants are eliminated in advance;nondestructive batch quality detection of tubers is carried out by using near-infrared spectroscopy technology, and the four-dimensional weighted comprehensive scoring system is relied on to complete germplasm grading and screening;finally, the excellent germplasm obtained by screening is divided into groups for seed saving, and through cross-group directional crossing and continuous breeding under stress, a stress-resistant high-quality potato improved line is bred.The new line has multiple stress resistance and excellent commodity and processing quality, and is suitable for large-scale potato germplasm screening and directional breeding popularization and application.

The invention discloses a qualitative and quantitative detection method for medicinal and edible articles based on an electronic nose, and belongs to the technical field of quality detection of the medicinal and edible articles. The feasibility of qualitative and quantitative detection of the medicinal and edible articles based on the electronic nose is verified by utilizing an infrared spectrum technology and traditional chemical analysis. According to the invention, a correlation model of electronic nose smell fingerprint information and key indexes for quality evaluation of medicinal and edible articles is constructed. Comprising the following steps: preparing an electronic nose system suitable for detecting the quality of medicinal and edible articles; continuously detecting headspace gas of the medicinal and edible object by using an electronic nose to obtain smell fingerprints of the medicinal and edible object; analyzing components and contents of main substances by using an infrared spectrum technology and a traditional chemical analysis technology; performing feature extraction on the data acquired by the electronic nose; and an optimal quality evaluation classification model and a prediction model are established in combination with an algorithm. By adopting the method, the quality of different medicinal and edible articles can be quickly and accurately identified, and a novel, efficient and reliable detection method is provided for identifying the quality of the medicinal and edible articles, so that the rights and interests of consumers are effectively maintained.

The invention relates to the technical field of crop breeding, and discloses a rapid breeding method of high-dietary-fiber glutinous highland barley, which comprises the following steps: seed pretreatment, chemical mutagenesis treatment, culture solution preparation, greenhouse culture and early comprehensive screening, rapid genetic homozygosis and high-generation accurate phenotype selection. By preparing mutagenesis liquid with specific components to induce seeds, a chemical mutagenic agent contained in the mutagenesis liquid can initiate directional variation of genetic materials of the highland barley seeds, so that the genetic basis of high dietary fibers and waxy characters is widened, and rich variant groups are provided for subsequent screening; meanwhile, in the greenhouse culture and early comprehensive screening stage, the content of beta-glucan in seeds of a single plant is subjected to nondestructive measurement by utilizing a near infrared spectrum technology, so that high-throughput and low-cost quality primary screening on a huge group in the early generation of breeding is realized, and the bottlenecks that a traditional chemical detection method is long in period, high in cost and cannot be used for early generation selection are overcome; therefore, the screening efficiency of the germplasm resources is improved.

The invention provides a thermal insulation performance evaluation method and system for a corn fermentation area, and relates to the technical field of fermentation engineering. According to the method, the change of glucose concentration and the characteristic peak intensity of ethanol in a fermentation tank are monitored in real time through an infrared spectrum technology, and then the initial fermentation stage, the logarithmic growth phase and the stable phase are dynamically identified by utilizing a quantitative relation model of the characteristic peak intensity of the infrared spectrum and the substance concentration. In the initial stage, the overall temperature fluctuation and the unit time energy consumption of each region are calculated, and the energy consumption and the temperature fluctuation data of the temperature control system are combined to screen out a high-energy-consumption region; then, in the logarithmic growth period and the stable period, stage time threshold values are set respectively, and the regional average response time of the fermentation tank in the high-energy-consumption region from the initial temperature to the set temperature and from the initial temperature to the set temperature is counted; and finally, a comprehensive evaluation formula is constructed by combining temperature fluctuation, response time and energy consumption multi-dimensional indexes, and a thermal insulation performance defect area is judged.

The present invention relates to the technical field of ingredient monitoring, specifically a monitoring system for anti-corrosion ingredients in cosmetics. The system includes an ingredient data acquisition module, an ingredient anomaly detection module, an ingredient pedigree analysis module, and a monitoring and feedback adjustment module. In the present invention, by introducing the sliding window technique and the locally weighted scatterplot smoothing model, the real-time performance and data accuracy of anti-corrosion ingredient monitoring are enhanced, the real-time tracking ability of changes in preservative concentration is improved, allowing the system to quickly respond to minor changes. The isolation forest algorithm is used to analyze mutation points in time series data, providing an efficient anomaly detection method for cosmetics. This algorithm is suitable for big data environments, significantly improving the processing speed and accuracy. Combining near-infrared spectroscopy technology and Kalman filtering technology, the accuracy of predicting preservative concentration is improved, enabling manufacturers to accurately control the amount of preservatives in cosmetics, meet safety standards, and reduce the risk of overuse.

The application belongs to the technical field of near-infrared spectrum analysis, and particularly relates to a dangerous chemical leakage detection method based on near-infrared spectrum, comprising the following steps: S1) spectrum collection: configuring a detector and a near-infrared spectrometer to detect the corresponding absorption spectrum of the leakage gas or liquid; S2) data preprocessing: correcting the absorption spectrum by using a baseline spectrum to eliminate the influence of light source unevenness or stray light of the light path; S3) spectrum feature extraction: adopting principal component analysis or independent component analysis to reduce the high-dimensional spectrum data of wavelength points to a low-dimensional feature space, retaining main information to extract spectrum feature parameters; S4) constructing a Bayesian model; and S5) model application. The near-infrared spectrum technology has the characteristics of rapid detection, can realize real-time monitoring of the dangerous chemical leakage, and can effectively separate overlapping absorption peaks through the ICA method, improving the accuracy of complex mixture identification.

This invention relates to the field of agricultural product sorting technology, specifically a fully automatic near-infrared spectroscopy online detection and sorting system. It includes a conveying mechanism and an air pump located on the side of the conveying mechanism. An image acquisition device is installed at the upper end of the conveying mechanism, and a sampling detection mechanism is installed on the side of the image acquisition device. A flipping mechanism is installed inside the conveying mechanism and below the image acquisition device. By designing a continuously operating conveying mechanism, walnut products can quickly reach the detection area. Simultaneously, the image acquisition device and the sampling detection mechanism are integrated into the system, allowing both to simultaneously detect the product, shortening the detection time and achieving efficient detection. Considering that acquiring images from a single angle may not fully capture product information, a flipping mechanism is designed to acquire product images from different angles. The sampling detection mechanism performs sampling detection on the product, and combined with near-infrared spectroscopy technology, more parameter information of the product is obtained, thereby improving the accuracy of the detection.

This invention discloses a method for spectral reconstruction based on spectral physical calibration, belonging to the field of infrared spectroscopy. The method comprises the following steps: S1. Data acquisition, S2. Spectral-electrical combined data preprocessing, S3. Construction of a spectral reconstruction neural network, S4. Model training, S5. Multi-objective optimization, and S6. Model testing. In the constructed spectral reconstruction neural network, the invention optimizes the neural network by combining spectral physical calibration errors with a multi-objective optimization algorithm, thereby improving the accuracy and efficiency of spectral reconstruction.

The invention relates to the field of medical monitoring, in particular to a dual-wavelength near-infrared and PPG fused cerebral blood flow autonomous adjustment monitoring method and system, and is particularly suitable for real-time monitoring, evaluation and intervention control of a cerebral blood flow autonomous adjustment function in a neurosurgical operation. According to the system, firstly, intracranial blood oxygen saturation data are accurately obtained by adopting a dual-wavelength near infrared spectrum technology, meanwhile, blood pressure waveform characteristics are captured by combining a photoelectric volume pulse wave tracing method, and based on the key data, the system constructs a cerebrovascular automatic regulation function evaluation model; and finally, the system outputs a control signal to ensure that the cerebral perfusion pressure is stabilized in a target interval, the method is combined with a non-invasive monitoring technology, the risk of traditional invasive monitoring is effectively avoided, the real-time and accurate evaluation of the cerebral blood flow autonomous regulation function is realized, and the accuracy of the cerebral blood flow autonomous regulation function is improved. A safer and more efficient solution is provided for the field of medical monitoring.

The invention provides an online measurement method and system for the emission concentration of carbon dioxide in flue gas of a generator set. The method comprises the following steps: measuring the volume concentration of carbon dioxide in flue gas through a non-dispersive infrared absorption spectrum technology; performing numerical conversion according to the dry flue gas flow and the carbon dioxide volume concentration in the standard state, and calculating to obtain the emission rate of carbon dioxide; and performing time weighted integration on the carbon dioxide emission rate by combining the generating capacity and the power of the generator set to obtain the total carbon dioxide emission amount in a given time period. The non-dispersive infrared spectrum technology is combined with dynamic calibration and multi-measuring-point measurement, the problems that traditional sampling efficiency is low and data lags behind are solved, and meanwhile accurate monitoring and management of carbon emission are achieved through anti-interference optimization and power generation load association.

The invention discloses a metal content detection device and method based on an infrared spectrum technology in the field of metal detection.The metal content detection device comprises a handheld part, a detection box is fixedly connected to the handheld part, an opening is formed in the side, away from the handheld part, of the detection box, and a light beam receiver and a light beam emitter are arranged on the side, close to the handheld part, of the detection box; the light beam emitter is provided with a universal joint used for adjusting the emitting direction, a controller is fixedly connected to the detection box, and a contour scanner is arranged in the detection box. The controller is used for acquiring information of the to-be-detected surface scanned by the contour scanner and generating a surface contour diagram of the to-be-detected surface, point location feature information meeting the requirement that the light beam is reflected to the light beam receiver is preset in the controller, point location features at least comprise the point location size, the inclination angle and coordinates, and point locations meeting the requirement of light beam reflection on the surface contour diagram of the to-be-detected surface are captured; and the universal joint is controlled to adjust the emitting direction of the light beam emitter to face a single point. By adopting the technical scheme of the invention, the metal piece with an uneven surface can be detected.

This disclosure provides transabdominal fetal oximetry (TFO) that uses frequency-modulated continuous-wave (FMCW) time-domain near-infrared spectroscopy to measure time-resolved reflectance values of light signals collected from a maternal-fetal multilayer tissue structure. In various embodiments, the disclosed FMCW time-domain near-infrared spectroscopy is configured to function as an optical interferometer that uses two frequency-swept laser sources of different center wavelengths λ1 and λ2 as probe lights to detect optical property in vascular tissues of the maternal-fetal multilayer tissue structure. The FMCW near-infrared spectroscopy is configured to collect light signals returned from the multilayer structure and generate a time-resolved reflectance curve based on the collected light signals.

The invention relates to the technical field of oil wastewater separation and trace testing, and discloses an infrared spectrum quantitative method for trace hexafluorophosphate in polylactic acid fiber, which comprises the following steps: firstly, pressing loose fiber into sheets, and carrying out infrared spectrum testing by adopting an attenuated total reflection mode to effectively enhance the acquisition intensity and stability of infrared signals; secondly, in a data processing stage, through accurately extracting a characteristic infrared signal of hexafluorophosphate and systematically determining an optimal baseline correction method of an internal standard peak and a characteristic peak and an integral range selection skill, on the basis of a relation between a characteristic peak area ratio and the concentration, the detection sensitivity of the method is improved; according to the method, a quantitative model conforming to the Lambert-Beer law is established, matrix interference can be eliminated to the maximum extent, the accuracy of a quantitative result is ensured, and the problem that trace hexafluorophosphate lower than 5% on the fiber surface is difficult to accurately and rapidly quantify by an existing infrared spectrum technology and the accuracy of a quantitative result is low is solved. And a standardized analysis process for effectively eliminating matrix interference is lacked.

The application discloses a waste heat recycling method for replacing a tubular furnace of a heat exchanger and a flash tank, relates to the field of waste heat recycling of an industrial benzene removal process, and comprises the following steps: collecting steam generated in real time during coke oven operation, dynamically adjusting the steam temperature and pressure through a water circulation cooling device and a multi-stage pressure reducing valve, connecting the adjusted steam into a heat exchanger, evaluating the heat exchange deviation of the steam and the pressurized crude benzene region crude oil based on the crude oil type, adjusting the output of the flow of a circulating pump, conveying the heat-exchanged crude oil to a benzene removal tower, evaluating the benzene removal efficiency based on infrared spectroscopy technology, re-performing heat exchange and conveying to the benzene removal tower if the benzene removal efficiency is not up to the standard, and inputting the condensed steam after heat exchange into a flash tank, and realizing secondary steam recovery by connecting the low-pressure saturated steam after pressure reduction into a low-pressure steam pipe network.

The present invention relates to the field of infrared spectroscopy technology, and provides a method for detecting adulterants in raw lacquer using infrared spectroscopy technology, which solves the problem that traditional raw lacquer identification methods mainly rely on empirical judgment, are highly subjective, have low accuracy, and are difficult to meet the needs of modern quality control and market supervision. The method comprises the following steps: (1) collecting the infrared spectrum of the raw lacquer; (2) determining the threshold; (3) preparing the adulterant; (4) generating a simulated doping spectrum; (5) determining the critical coefficient K; and (6) distinguishing the adulterated sample.

The present invention discloses a method for detecting rubber pyrolysis components based on infrared spectroscopy technology, specifically relating to the technical field of rubber pyrolysis component detection. The method is used to solve the problems of high-concentration signal saturation, missed detection of low-concentration components, and data faults in the pyrolysis stage caused by fixed parameters in existing infrared spectroscopy detection methods. By dynamically dividing the boundaries of the pyrolysis stages and adjusting the spectrometer scanning frequency and integration time in real time, adaptive matching of detection parameters and product release rates is achieved. At the same time, cross-stage spectral data fusion and pyrolysis kinetic continuity closed-loop verification technology are combined to eliminate time domain offset errors and reconstruct a complete spectral data chain. Finally, through a collaborative correction mechanism of multi-stage weight allocation and integration time compensation, high-confidence component types and concentration ratios are output, providing accurate data support for rubber pyrolysis process optimization and pollutant monitoring.

The utility model discloses a coal quality analyzer based on infrared spectrum technology concretely relates to coal quality analyzer technical field, including the coal quality analyzer with infrared spectrum technology, the coal quality analyzer top is equipped with the rotating platform, and the rotating platform inside is equipped with the storage cup for containing coal material, the storage cup outside is equipped with the auxiliary part for preventing light interference, the auxiliary part includes the sunshade of being equipped in the storage cup top, and the sunshade is sleeved in the rotating platform outside, the sunshade inside is equipped with the sound insulation cotton. The utility model discloses a sunshade is sleeved in the rotating platform outside, and in this way can be by the sunshade to the coal material is shielded, effectively blocks the sundry light of outside world, ensures that the coal quality analyzer only accepts the radiation signal of coal material itself, and the sound insulation cotton in the sunshade can absorb the vibration noise in the environment, reduces the indirect interference of noise to the coal quality analyzer, thereby improves the detection precision to the coal material.

The invention provides a carbon emission gas concentration detection device and detection method based on a non-dispersive infrared spectroscopy technology, and relates to the technical field of gas detection, and the carbon emission gas concentration detection device based on the non-dispersive infrared spectroscopy technology comprises a gas absorption chamber; the infrared light source is arranged on one side of the gas absorption chamber; the infrared detector is located on the side, away from the infrared light source, of the gas absorption cavity, and the infrared detector is configured to receive the infrared light source penetrating through the gas absorption cavity; and the control module is configured to control emission of the infrared light source and control starting of the infrared detector. The embodiment of the invention provides a carbon emission gas concentration detection device and detection method based on a non-dispersive infrared spectrum technology, which can accurately monitor the emission conditions of carbon dioxide and methane in an industrial process in real time and overcome the precision problem of a traditional sensor under the influence of environmental factors such as temperature and humidity. And the accuracy and reliability of monitoring data are improved.

This invention relates to the field of infrared spectroscopy technology, specifically to a multispectral non-contact snow detection device, comprising a top plate, a protective cylinder, and a multispectral detector. The top plate has an axially oriented groove on its bottom surface, within which a movable plate is slidably mounted. A central block is mounted on the bottom surface of the movable plate. The protective cylinder has a through hole on its top surface, through which it is fitted over the central block. The multispectral detector is disposed inside the protective cylinder. A thickened portion protrudes from the top surface of the top plate, housing a positioning mechanism for positioning the movable plate. Support plates are vertically mounted on both sides of the top plate, and clamping mechanisms are installed at the lower ends of each support plate. This invention features a simple structure. The clamping mechanisms allow the device to be fixed to the rear of a truck bed, enabling it to move with the truck, increasing the detection range. Furthermore, the multispectral detector is protected by a protective cylinder with a retractable function, ensuring the safety of the multispectral detector during use.

This invention discloses a data analysis-based method for maintaining VIGS activity in chili pepper fruits, belonging to the technical field of VIGS activity maintenance in chili pepper fruits. The method includes the following steps: Multimodal data acquisition: After VIGS inoculation of chili pepper fruits, a multimodal sensor array is deployed to continuously collect environmental factor data of the microenvironment where the fruit is located at a preset first frequency. This invention, by deploying a multimodal sensor array, achieves real-time and continuous acquisition of microenvironmental factors and physiological state data of chili pepper fruits. Combined with near-infrared spectroscopy and a self-calibration mechanism, it significantly improves the estimation accuracy of the target gene silencing efficiency index and the robustness of data acquisition. Based on a nonlinear mixed-effects model and Bayesian parameter inference method, this invention constructs an individualized dynamic decay model of VIGS silencing activity, which can update the silencing efficiency decay curve of individual fruits in real time, accurately predict the remaining maintenance time, and improve the targeting and effectiveness of regulation.

The present application relates to non-invasive blood glucose detection technology, and particularly relates to a blood glucose detection method and a blood glucose detector for a non-invasive blood glucose meter. The blood glucose detection method for the non-invasive blood glucose meter comprises the following steps: collecting near-infrared light data and mid-infrared light data and calculating corresponding weight coefficients; obtaining a predicted blood glucose value by using a blood glucose detection model, calculating a credibility, comparing the credibility with a preset credibility threshold, and performing corresponding operations; and obtaining a blood glucose health assessment result by using a blood glucose health assessment model. The present application combines near-infrared spectroscopy technology and mid-infrared spectroscopy technology, and considers the influence of environmental factors in real time, calculates the weight coefficients of the near-infrared light data and the mid-infrared light data respectively, adjusts and optimizes the analysis of the spectral data, provides more accurate blood glucose detection results, and ensures that reliable blood glucose measurement values can be obtained under different environmental conditions.

The application discloses an atomic force microscope-full internal reflection infrared spectrum synchronous acquisition device and method, relates to the field of infrared spectrum technology, and combines the infrared laser and the visible laser through a beam combiner, so that the infrared laser and the visible laser are collinear, and collinear laser is obtained. The incident adjusting assembly makes the collinear laser focus on the sample side through the incident side of the three-prism perpendicularly, and makes the focal point of the collinear laser be located directly below the needle tip, completes the spatial position coupling of the collinear laser and the atomic force microscope probe, and a processor processes the micro-cantilever deflection signal generated by the atomic force microscope and the reflected laser intensity signal generated by the photothermal detector, and simultaneously obtains the atomic force microscope infrared spectrum and the full internal reflection infrared spectrum, so that the atomic force microscope infrared spectrum and the full internal reflection infrared spectrum can be synchronously acquired, and the atomic force microscope infrared spectrum and the full internal reflection infrared spectrum can be collected simultaneously and in situ.

The invention belongs to the technical field of quality detection of traditional Chinese medicinal materials, and particularly relates to a method for rapidly determining stoving traditional Chinese medicinal materials, which realizes rapid and nondestructive detection of the stoving traditional Chinese medicinal materials by pretreating a traditional Chinese medicinal material sample and combining a near infrared spectrum technology with a chemometrics model. According to the method, a standard sample spectrum database is established, a quantitative analysis model is constructed by applying a principal component analysis-partial least square method, single sample detection can be completed within 5 minutes, the detection limit is as low as 0.1 mg / kg, the detection efficiency and accuracy are remarkably improved, and the method is suitable for multiple traditional Chinese medicinal material stoving detection scenes.

The present application relates to the technical field of atmospheric pollution monitoring, and discloses a plant unorganized emission monitoring and early warning platform based on infrared spectrum technology. In order to solve the problems of analysis distortion caused by spectral baseline distortion in traditional monitoring and lack of adaptive tracing ability of fixed early warning threshold. The platform edge server cascades a spectrum reconstruction deconvolution module, a three-dimensional inversion risk module and an adaptive early warning module; a one-dimensional convolution network is used to jointly reconstruct high-fidelity spectrum and separate multi-component gas by using an adaptive least square method; a three-dimensional leakage source strength is inverted based on a spatial sparse prior Markov chain Monte Carlo engine; and early warning is dynamically determined in combination with a double cumulative sum algorithm. The present application is used for gas monitoring in complex industrial areas, and can accurately locate and adaptively prevent false alarms.