28 results about "Infrared spectroscopy technique" patented technology

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 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.

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 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 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.

The invention relates to the technical field of traditional Chinese medicine identification and analysis, in particular to an infrared spectroscopy method, system and program for rapidly and nondestructively identifying semen cuscutae and processed products thereof. According to the method, a Fourier infrared spectrum technology is combined with an integrating sphere diffuse reflection sampling mode, infrared spectrum data of a sample are collected within the wave band of 4000 cm <-1 >-500 cm <-1 >, and the infrared spectrum data of the sample are obtained through preprocessing means such as automatic baseline calibration, smoothing processing, first-order derivative and vector normalization in combination with clustering analysis and principal component analysis. And rapid qualitative identification of different processed products such as crude products, stir-fried products, stir-fried products with wine and stir-fried products with salt is realized. The method has the advantages of simplicity and convenience in operation, no need of chemical reagents, rapidness in detection, high integrity, no loss and the like, and is suitable for quality control and clinical application guidance of traditional Chinese medicine processed products.

The invention provides a cashmere and wool component content identification method and device based on an infrared spectrum technology, and relates to the technical field of cashmere and wool content detection.The method comprises the steps that firstly, a standard sample with the known cashmere content is prepared, and infrared spectrum data of the standard sample is collected; normalizing the spectrum, intercepting spectrum data of an amide I band and an amide II band, smoothing, calculating a second derivative, and splicing to generate a feature vector; carrying out dimensionality reduction on the feature vectors by utilizing principal component analysis, extracting principal component score vectors, and taking scores of pure wool and pure cashmere samples as class centers; and calculating the mahalanobis distance from each sample to the two types of centers, constructing a mahalanobis distance weighted regression model, and finally predicting the cashmere content based on the score of the principal component of the to-be-detected sample. The method has the advantages of being accurate in feature extraction, high in anti-interference performance, high in prediction stability and the like, and is suitable for rapid and nondestructive quantitative analysis of cashmere and wool mixed samples.

The invention discloses a multi-field-crossing fruit and vegetable freeze-drying preservation method which comprises the following steps: a drying system is used for removing moisture of fruits and vegetables, a pressure reduction system is used for creating a low-pressure environment, and a freezing system is used for keeping the fruits and vegetables in a low-temperature state. In the detection link, the infrared spectrum technology is used for detecting the internal components, structures and other characteristics of fruits and vegetables, and the mechanical vision technology is used for obtaining the external characteristics of the fruits and vegetables. A heat exchanger of the low-energy-consumption heat recovery system is responsible for heat exchange, and a heat pump achieves heat transfer. In the pre-freezing, sublimation drying and desorption drying stages of the freeze-drying process, the system stores the collected heat and releases the heat according to the requirements of each stage. The intelligent control system accurately controls heat according to data such as temperature and pressure fed back by the sensor, classifies according to feature data of fruits and vegetables by means of a MobileNet V3 neural network model, and formulates personalized storage strategies according to different classifications. According to the invention, the energy consumption is low, the storage fresh-keeping period of fruits and vegetables can be prolonged, and the nutritional ingredients, taste and color can be retained.

The invention belongs to the technical field of in-situ infrared spectrum characterization, and discloses a steady-state isotope transient kinetic analysis technology and infrared spectrum technology combined in-situ reaction tank, which comprises a reaction tank main body, a sample bracket and an accessory, due to the design of the sample bracket, gas enters the sample chamber from the gas inlet, is in contact with a sample immediately and then flows out from the gas outlet, so that the problem of gas vortex backmixing is solved; and the thermocouple is inserted into the sample bracket to be in close contact with the sample, so that the temperature of the sample is controlled at high precision, and the problems of large temperature gradient and slow time response are solved. The design of a single-side double-window-sheet structure is adopted, the inner-layer window sheet is close to the sample chamber to reduce dead volume, and the inner-layer window sheet is arranged in a heating area; the outer-layer window sheet is arranged in the cooling area so as to protect the in-situ reaction tank from being damaged by high temperature. The in-situ reaction tank provided by the invention can realize dynamic detection of species and products thereof on the surface of the catalyst under a steady-state condition by being combined with a steady-state isotope transient kinetic analysis technology and an infrared spectrum technology.

The invention discloses a method for rapidly detecting BOD (Biochemical Oxygen Demand) in fixed component sewage based on near infrared spectroscopy, which comprises the following steps of: firstly, establishing a relationship between near infrared spectroscopy and concentration of substance components by utilizing a near infrared spectroscopy technology and a partial least square regression method, and predicting the concentration of the substance components in the sewage according to spectral characteristics of a sample; then establishing a linear / nonlinear relationship between the concentration of the substance components and the concentration of the BOD5 by utilizing a BP neural network, and establishing a soft measurement model of the concentration of the BOD5 in the chemical wastewater by taking the content of the biotoxic substances as a characteristic correction parameter, so as to predict the BOD5 in the wastewater of the chemical device and quickly evaluate the pollution degree of a water body.

The invention discloses a method and a device for realizing cardiac function discrimination through a near infrared spectrum technology, and the method comprises the steps: obtaining a to-be-discriminated human face near infrared spectrogram, and carrying out the preprocessing of the near infrared spectrogram; inputting the preprocessed data and user age information corresponding to the near infrared spectrum into a pre-trained discrimination model, and outputting by the discrimination model to obtain a cardiac function discrimination level corresponding to the to-be-discriminated face near infrared spectrum; wherein the pre-trained discrimination model is constructed based on a partial least square method. The cardiac function level is judged based on the near infrared spectrogram, so that the detection complexity is reduced, and the detection efficiency is improved.

The application discloses a kind of based on near infrared spectrum's three huahua sugar content sorting device and control method thereof, it is related to fruit sugar content detection technical field, its device includes spectral acquisition device and fruit sorting device, spectral acquisition device is fixed at the top of fruit sorting device;The application acquires the spectral information of three huahua fruit by spectral acquisition device, and based on the spectral information collected, adopt the control strategy of combining near infrared spectrum technology and single-chip microcomputer, the rotation of first baffle and second baffle is controlled by controlling first motor and second motor, the sugar content sorting control of three huahua fruit is completed, can realize automatic sorting, realize fast, non-destructive, efficient analysis and identification, and reduce human intervention, guarantee the stability of sorting effect, compared with traditional sorting equipment, cost is lower, can improve production efficiency, and the structure of this technology is relatively simple, does not need complex mechanical structure and control system, easy to install and maintain.

The present application relates to a kind of near infrared spectroscopy technology detection fish paste in microorganism glutamine transaminase method and pretreatment method, wherein detection method includes step 1: after adding 0.1-0.3% casein to fish paste, it is chopped into paste by high speed, and semi-liquid slurry is formed, the semi-liquid slurry is sealed and then refrigerated, and fish paste pretreatment sample is obtained;Step 2: open near infrared spectrometer and carry out pretreatment, take fish paste pretreatment sample and place in sample cup, then carry out the spectrum scanning of fish paste pretreatment sample, and obtain spectrum information;Step 3: the spectrum information scanned in step 2 is introduced into fish paste in microorganism glutamine transaminase qualitative analysis model, and qualitative judgment is carried out.The present application has the advantages of fast analysis speed, high detection flux, pollution-free processing, low application cost, good analysis reproduction, etc., and can provide reference basis for the judgment of whether microorganism glutamine transaminase is added in fish paste.

The present application mainly relates to the technical field of near-infrared spectroscopy. In order to solve the problem that the conventional wavelength calibration method of MEMS Fabry-Perot cavity chip has low precision, and it is usually necessary to repeatedly calibrate a single wavelength to ensure the measurement precision, which is time-consuming and laborious, the present application provides an accurate wavelength calibration method based on MEMS Fabry-Perot cavity, first, the wavelength of each wavelength point is calculated according to the wavelength range and the number of wavelength points of the MEMS Fabry-Perot cavity chip, the wavelength point to be calibrated is determined, the wavelength point λ m is set, a large range of voltage intervals is scanned, and the corresponding calibration voltage v1 is roughly obtained λ m , then the fine scanning voltage range is selected according to the calibration voltage v1, the voltage interval is narrowed to obtain the calibration voltage v2, the calibration voltage v2 is fixed, a small range of wavelength intervals is scanned, and the corresponding calibration wavelength λ p of v2 is calculated and obtained, and finally the voltage v2 is fine-tuned to obtain the voltage corresponding to the wavelength point λ m . The method described in the present application is mainly suitable for wavelength calibration of a miniature near-infrared spectroscopy system.

The invention belongs to the technical field of cardio-pulmonary resuscitation, and discloses a system and a method for optimizing a cerebral protection mechanism of hypoxic ischemia encephalopathy after cardio-pulmonary resuscitation, which are characterized in that an intracranial pressure monitoring device is used for monitoring the change of intracranial pressure in real time and evaluating the degree of brain injury and the condition of encephaledema; through intracranial pressure monitoring, a treatment scheme can be adjusted in time, and serious complications of cerebral hernia are prevented; meanwhile, the concentration change of oxyhemoglobin and deoxidized hemoglobin in the brain tissue is monitored through the brain oxygen saturation monitor by utilizing a near infrared spectrum technology, and the oxygenation state of the brain tissue is accurately reflected. Brain oxygen saturation monitoring is beneficial for guiding oxygen therapy and ventilation therapy and optimizing oxygen supply and oxygen consumption balance of brain tissue. The optimization system for the cerebral protection mechanism of the ischemic-hypoxic encephalopathy after the cardio-pulmonary resuscitation operation can remarkably reduce the degree of brain injury, promote neural function recovery and reduce the case fatality rate and disability rate of a patient.

The invention discloses an online electrolyte detection method and device based on a Fourier transform near infrared spectrum technology, and relates to the technical field of electrolyte production, the method comprises the following steps: S1, spectrum acquisition; s2, carrying out spectrum analysis; s3, data processing and analysis; s4, outputting and monitoring a result; the device is composed of a control cabinet, an optical fiber and a flow cell, wherein the control cabinet comprises a Fourier transform near-infrared spectrometer and an industrial personal computer. According to the method and the device for online detection of the electrolyte based on the Fourier transform near infrared spectrum technology, online monitoring of five indexes of the electrolyte can be realized by using one device, the detection efficiency and the real-time performance are greatly improved, the Fourier transform near infrared spectrum technology is adopted, and the detection accuracy is greatly improved. The method has the characteristics of short time consumption, low power consumption, high accuracy, high sensitivity and high resolution, the performance of electrolyte detection is remarkably improved, simultaneous detection of multiple samples is supported, and the detection flux is improved.

The invention discloses a method for rapidly identifying adulteration of traditional Chinese medicine powder by combining an improved Bi-Attention-LSTM network with multi-dimensional digital fingerprints, which comprises the following steps: by taking traditional Chinese medicine illicium verum powder as a research object, identifying adulteration of the traditional Chinese medicine powder through digital image identification and Fourier transform-near infrared spectroscopy technologies; digital images and spectrum fingerprint data of certified illicium verum and adulterated samples of the illicium verum are collected respectively, an improved ResNet50 model and an SHAP analysis method are introduced, and key digital fingerprint features of the images and spectrums are extracted. And further optimizing a bi-directional long-short-term memory network (Bi-Attention-LSTM) based on an attention mechanism, and realizing accurate classification of adulteration categories and rapid prediction of adulteration proportions by fusing external visual information and internal chemical information. Through external verification, the identification accuracy of the method reaches 100%. The rapid identification method for traditional Chinese medicine powder adulteration has the advantages of being easy and convenient to operate, excellent in model performance, high in identification accuracy and the like, and reliable technical support can be provided for rapid identification of traditional Chinese medicine powder adulteration.

The invention discloses a method for determining the content of asphaltene in asphalt, and belongs to the technical field of road engineering. Comprising the following steps: heating an asphalt sample to a flowing state, putting the asphalt sample into a metal mold, and leveling to form a film through oven treatment; scanning the thin film by utilizing a nano infrared spectrum technology to obtain a nano-scale morphology graph; respectively acquiring infrared spectrums of a bee phase wave crest and a surrounding phase position based on the morphology graph; obtaining a two-phase sulfoxide group index and a carbonyl group index through spectral quantitative analysis, and determining the asphaltene content according to a difference value between the two-phase sulfoxide group index and the carbonyl group index; according to the method, rapid, nondestructive and accurate detection of the asphaltene content is realized, and a new method is provided for quality control of road materials.