61 results about "Infrared spectroscopy technique" patented technology

The present invention relates to the technical field of food quality detection, and in particular to a quality assessment system and method for Xanthoceras sorbifolia oil based on spectral analysis, comprising a spectral acquisition module, a data preprocessing module, a feature extraction module and a quality assessment module; wherein: the spectral acquisition module is used to collect spectral data of Xanthoceras sorbifolia oil samples, including reflection spectrum and transmission spectrum information; the data preprocessing module is used to preprocess the spectral data collected by the spectral acquisition module; the feature extraction module is used to extract feature data related to the quality of Xanthoceras sorbifolia oil from the preprocessed spectral data; the quality assessment module is used to construct a quality assessment model, assess the quality of Xanthoceras sorbifolia oil samples, and output the quality grade. The present invention provides an efficient, non-destructive and real-time quality assessment system and method for Xanthoceras sorbifolia oil by combining near infrared spectroscopy technology with a support vector machine regression algorithm, which significantly improves the assessment accuracy.

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 relates to the technical field of road engineering, in particular to a waste plastic modified asphalt compatibility evaluation method based on an infrared spectrum technology, which comprises the following steps: preparing a to-be-tested plastic sheet, and carrying out infrared spectrum analysis on the to-be-tested plastic sheet; calculating the corresponding characteristic peak area of the to-be-tested plastic sheet according to the obtained infrared spectrum data; taking each characteristic peak area of the to-be-tested plastic sheet as an input variable, taking known plastic and asphalt compatibility data as an output variable, and establishing a standard mathematical relationship model; and substituting the infrared spectrum data of the plastic sheet sample into the standard mathematical relationship model, and calculating an output compatibility index, namely the softening point difference. According to the method, the sample preparation process is simplified, and the compatibility of the plastic and the asphalt is predicted by utilizing the infrared spectrum test and the standard mathematical relationship model, so that tedious operation steps in a traditional test method are avoided, and the method has the characteristics of short time consumption, high accuracy, wide adaptability and the like.

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 invention discloses a waste heat recycling method for a heat exchanger and a flash tank replacing a tubular furnace, and relates to the field of waste heat recycling in the industrial debenzolization process, the waste heat recycling method comprises the following steps: collecting steam generated during coke oven operation in real time, and dynamically adjusting the temperature and pressure of the steam through the design of a water circulation cooling device and a multi-stage pressure reducing valve; introducing the cooled and depressurized steam into a heat exchanger, evaluating the heat exchange deviation between the steam and the pressurized crude oil in the crude benzene area based on the type of the crude oil, and adjusting the flow output of a circulating pump; conveying the crude oil subjected to heat exchange to a debenzolization tower, evaluating the debenzolization efficiency based on an infrared spectrum technology, and if the debenzolization efficiency does not reach the standard, carrying out heat exchange again and conveying the crude oil to the debenzolization tower; and the condensed steam after heat exchange is input into a flash tank, and the low-pressure saturated steam after pressure reduction is merged into a low-pressure steam pipe network to realize secondary recovery of the steam.

The invention discloses a crude oil and fuel oil identification method based on non-measurement multi-dimensional scale transformation analysis, and belongs to the technical field of oil product detection. The invention discloses a rapid and effective crude oil and fuel oil attribute identification and screening method based on a crude oil and fuel oil fingerprint database by adopting an infrared spectrum technology. The method comprises the following steps: by taking Fourier transform infrared spectrum and attenuated total reflection as data acquisition means, extracting 19 infrared absorption spectrum characteristic quantities and 3 background spectrum data on the basis of analyzing two aspects of statistical theory and relation between chemical bonds and infrared absorption characteristics on the characteristic quantities; constructing a crude oil and fuel oil infrared fingerprint database of which the infrared absorption spectrum characteristic quantity is fingerprint characteristics; and commodity attributes of the crude oil and the fuel oil are analyzed and identified according to NMDS. Through practical verification, the method can effectively identify the crude oil and the normal fuel oil, and can be used for rapid screening of commodity attribute identification of the crude oil and the fuel oil.

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 invention discloses a correlation wheel leak rate measuring method based on Fourier infrared spectroscopy, comprising the following steps: acquiring gas concentration C0 before aging of a correlation wheel; carrying out high-temperature aging treatment on the related wheels; acquiring the gas concentration C after the aging of the related round, and simultaneously acquiring the gas concentration difference value delta C before and after the aging of the related round; acquiring a pressure change value delta P before and after aging of a related round; and obtaining the leak rate Q after the aging of the related rounds. The leak rate of the related wheel is measured by using the spectrum method, other tracer gases are not needed, the structure of the related wheel is not damaged, the result is quantitative and accurate, and the operation is convenient.

The invention discloses a diesel oil component detection method based on infrared spectroscopic analysis, relates to the technical field of diesel oil component detection, and is used for solving the problems of poor diesel oil component detection precision and low efficiency in the prior art. The method comprises the following steps: acquiring infrared spectrum data of a diesel oil sample based on an infrared spectrum technology, carrying out data preprocessing on the infrared spectrum data, carrying out feature extraction to obtain corresponding diesel oil component features, carrying out feature sorting on the diesel oil component features to obtain diesel oil main component features, and constructing a diesel oil component detection model according to the diesel oil main component features. The method comprises the following steps: selecting an infrared spectrum of a to-be-detected diesel oil sample, judging whether an optimization demand exists, selecting whether to construct an iterative function group to adaptively adjust a diesel oil component detection model based on a judgment result, inputting the infrared spectrum of the to-be-detected diesel oil sample into the optimized diesel oil component detection model, and outputting a detection result by the diesel oil component detection model. And accurate and efficient detection of diesel components is realized.

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 invention discloses a core-shell catalyst and a preparation method and application thereof, the catalyst is an interface packaging structure composed of an alpha-MnO2 nanowire of an inner core and an outer shell coating the surface of the inner core, and the outer shell is graphite phase carbon nitride. According to the preparation method, a g-C3N4 blocky body phase material forms stable carbon nitride in a sol-gel state by adopting a neutral hydrothermal reaction, and synthesis of a core-shell material and construction of an interface built-in electric field are realized by combining a novel method of in-situ deposition and low-temperature polymerization; cN micromolecules are successfully polymerized to the surface of the alpha-MnO2 nanowire under a low-temperature condition through a solid nuclear magnetism technology and an infrared spectrum technology, the alpha-MnO2 (at) g-C3N4 ultrathin nanowire core-shell photocatalyst with large conjugate graphite-like C3N4 as a shell layer and the alpha-MnO2 nanowire as a core layer is formed, the catalytic effect is good, the degradation efficiency is high, the thermal stability is high, and mass production can be achieved.

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 present invention discloses a tumor organoid maturity detection system and a detection method based on infrared spectroscopy technology. The detection system includes a detection chamber, an infrared light source, an infrared spectroscopy sensor, a fixed bracket, and a displacement platform for placing an organoid cell culture plate. The center of the displacement platform is a through hole for spectral transmission and alignment of the organoid sample position. The infrared spectroscopy sensor is located below the displacement platform and is collinear with the infrared light source. The infrared spectroscopy sensor is connected to an embedded control module, which converts the collected optical signal into an electrical signal and inputs it into the embedded system. The present invention solves the problem of difficult real-time monitoring and quantification in the existing organoid inspection, and has the functions of automatic positioning, ensuring the cultivation environment, detecting and identifying the mature stage of organoid cultivation, monitoring the differentiation of organoids, and quantifying the growth progress.

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 provides a method for testing the content of bound styrene. Comprising the following steps: based on a test value of a peak area ratio of 4-vinylcyclohexene to styrene of a cracking product of the BR and SSBR blend rubber, the content of bound styrene in SSBR standard rubber, the content of styrene in the BR and SSBR blend rubber obtained by testing by adopting an infrared spectrometer, a calibration curve, a first relational expression and a second standard curve, calculating the content of styrene in the BR and SSBR blend rubber, and calculating the content of styrene in the BR and SSBR blend rubber according to the calibration curve, the first relational expression and the second standard curve. The content of the combined styrene in the SSBR used in the combined rubber of the BR and the SSBR is reduced. Based on the method provided by the invention, the technical problem that the content of bound styrene in the SSBR used by the BR and SSBR blended glue cannot be given by an infrared spectrum technology in the prior art is solved.

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.