117results about How to "Realize online analysis" patented technology

The invention discloses a landscape water quality online early warning system which comprises a landscape water quality online monitoring system, a data center and a main control computer. The landscape water quality online monitoring system is used for monitoring landscape water quality data and performing data transmission with the data center; the data center is used for controlling the landscape water quality online monitoring system and storing water quality data sent back by the landscape water quality online monitoring system; the main control computer processing data in a database at any time by calling and operating a functional module, and realizing the analysis and management of online monitored water quality data; and when water quality is worsened, the main control computer performs forecasting and early warning, and puts forward a contingency plan according to early warning situations. The variation trend of water quality can be mastered through the landscape water quality online early warning system, the water quality worsening trend can be early warned in time, the water environment quality of urban landscape water body is guaranteed, and scientific basis and technical support are provided for the effective analysis and management of water quality data during the running process of landscape water body.

The invention relates to a method for detecting physical and chemical indexes of reconstituted tobacco by a near infrared spectrum detection paper making method, which comprises the following steps of: carrying out the detection of the physical and chemical indexes on collected samples one by one by a standard method to obtain quantitative reference data; scanning and collecting spectrums of all the samples, carrying out spectrum preprocessing and eliminating the influence of noise and baseline drift; then corresponding spectrum data to the reference data of all physical and chemical indexes obtained by the standard method one to one and establishing a quantitative model by a partial least square method and mutual verification; carrying out accuracy and reproducibility inspection and then storing the quantitative model in a computer. When the physical and chemical component content of the reconstituted tobacco product samples to be detected needs to be detected, the near infrared spectrum data of the samples to be detected are scanned and collected, and the physical and chemical indexes of the samples to be detected can be analyzed by calling the quantitative model. The method has rapid and accurate detection and low analyzing cost without damaging the analyzing samples and pollution.

The invention discloses an on-line early warning system and an on-line early warning method for the quality of raw water of a water reclamation plant. The system comprises a supervisory control and data acquisition (SCADA) system for water quality indexes of the raw water, a data center and master computers. The method for performing analysis and early warning processing on water quality data of the raw water which run on the master computers comprises the following steps of: storing related data for performing analysis and early warning on the quality of the raw water of the water reclamation plant; and controlling the SCADA system to perform cyclic data acquisition on water quality indexes at a water inlet monitoring point of the raw water of the water reclamation plant, and transmitting monitoring data into a server database and storing for operation and analysis, wherein the operation and analysis comprise the following steps of: predicting the water quality indexes of the raw water of the water reclamation plant and further performing analysis and early warning. The change condition of the quality of raw water of water reclamation plants is subjected to analysis and early warning accurately and quickly, the early warning precision is high, the system and the method are high in practical value, the handling ability and efficiency of the water reclamation plants on the change condition of the quality of the raw water are improved, and related data of production and operation condition of the water reclamation plants are effectively managed.

The invention discloses a method for rapidly determining the content of multi-index components in a sample feeding and eluting process of a Chinese buckeye seed extractive, namely sodium aescinate, in macro-porous resin and rapidly judging an eluting terminal point. The method comprises the following steps: (1) scanning near infrared spectrums and collecting a macro-porous effluent liquid sample; (2) determining the content of the multi-index components in a sample by using a reference method; (3) establishing a near-infrared multi-element correction model in a macro-porous purification process; (4) carrying out model evaluation; and (5) rapidly judging the eluting terminal point. The method provided by the invention has the advantages of rapidness, no loss, capability of simultaneously detecting a plurality of components and the like, can be used for an online analysis of a traditional Chinese medicine production process, and provides a novel thought for production and quality control of traditional Chinese medicines.

The invention discloses intelligent monitoring equipment for crop drought control. The intelligent monitoring equipment comprises a plurality of soil moisture content monitoring devices, a processor, a wireless communication device, a display and a warning unit, wherein the soil moisture content monitoring devices are distributed in a monitored farmland and used for monitoring the soil moisture of monitored positions in real time; the processor analyzes and processes information which is monitored by the soil moisture content monitoring devices, automatically counts water shortage areas of the monitored farmland and the specific geographical position and water shortage degree of each water shortage area, and correspondingly makes an irrigation scheme; and each soil moisture content monitoring device comprises a soil moisture sensor, a processing module, a timing module, a global positioning system (GPS) positioning module and a power module. The intelligent monitoring equipment for the crop drought control is reasonable in design, convenient to install and maintain, low in power consumption, easy to operate and reliable in performance, irrigation quantity can be determined according to the soil moisture content, healthy growth of farm crops can be guaranteed, and the aim of saving water resources is fulfilled.

The invention discloses an ultralow discharged flue gas analyzer based on an ultraviolet multiple reflection pool technique. The ultralow discharged flue gas analyzer comprises an analyzer case, a gaseous pollutant detection module, a temperature control spectrum analysis module and a two-position three-way valve; a main control module controls the two-position three-way valve, so that to-be-detected sample gas enters the gaseous pollutant detection module, light emitted by a light source of the gaseous pollutant detection module is reflected by a combined lens and a multiple reflection pool and absorbed by the to-be-detected sample gas flowing through a detection chamber, light carrying to-be-detected sample gas absorption information is gathered by a focusing lens to be coupled to silica optical fibers and then transmitted to be delivered into the temperature control spectrum analysis module by the silica optical fibers to be subjected to light splitting processing, then an absorption spectrum of the gas can be obtained, the concentration of the to-be-detected sample gas can be analyzed by conducting differential analysis on the spectrum and combining a chemometric algorithm, and the to-be-detected sample gas is finally discharged from an emptying port formed in the analyzer case through an oxygen sensor. The analyzer is compact in structure, easy to operate, stable, reliable and capable of achieving on-line analysis on ultralow-concentration flue gas.

The invention discloses a heavy-metal electric-chemical rapid detector, which comprises an electric-chemical analysis system and a microwave emitter, wherein the electric-chemical analysis system comprises a peristaltic pump, a work electrode, an assistant electrode, a reference electrode, a screening sleeve and an electrolytic cell, wherein the peristaltic pump is arranged between a sample to be detected and the reference electrode or the assistant electrode, the screening sleeve is arranged between the electrolytic cell and the reference electrode or the assistant electrode, the work electrode partially extends into the electrolytic cell, the part of the work electrode above the electrolytic cell is wrapped by the screening sleeve, and the assistant electrode and the reference electrode are arranged above the screening sleeve. The invention also discloses a heavy-metal electric-chemical detection system and a detection method of heavy metals in the sample.

The invention discloses a method for rapidly nondestructively detecting wheat hardness based on a near infrared spectrum technology and application and belongs to the technical field of grain quality detection. The method comprises the steps of establishing a near infrared detection model of the wheat hardness, utilizing a near infrared spectrometer to scan to-be-detected wheat samples, obtaining a sample near infrared spectrum curve, and after performing data processing on the near infrared spectrum curve, determining the hardness of the to-be-detected wheat samples by utilizing the detection model according to obtained data. The method is low in cost, free of pollution, quick in detection speed and high in objectivity, online analysis can be achieved, the method is subjected to geographical limitations, and real-time detection can be performed.

The invention relates to a method for detecting physical and chemical indexes of a reconstituted tobacco extracting solution and a tobacco extracting paste by a near infrared spectrum detection paper making method, which comprises the following steps of: carrying out the detection of the physical and chemical indexes on collected samples one by one by a standard method to obtain quantitative reference data; scanning and collecting spectrums of all the samples, carrying out spectrum preprocessing for eliminating the influence of noise and baseline drift; then corresponding spectrum data to the reference data of all physical and chemical indexes obtained by the standard method one to one and establishing a quantitative model by a partial least square method and mutual verification; carrying out accuracy and reproducibility inspection and then storing the quantitative model in a computer. When the physical and chemical component content of the reconstituted tobacco extracting solution and tobacco extracting paste samples to be detected needs to be detected, the near infrared spectrum data of the samples to be detected are scanned and collected, and the physical and chemical indexes of the reconstituted tobacco extracting solution and the tobacco extracting paste in the paper making method can be detected by calling the analysis of the quantitative model. The method has rapid and accurate detection and low analyzing cost without damaging the analyzing samples and pollution.

The invention discloses an on-line analysis method for mineral in ore pulp. The on-line analysis method comprises the following steps: irradiating to-be-analyzed ore pulp with an X-ray emitted from an X-ray tube, and arranging a detector at each of two sides of the ore pulp to perform X-ray fluorescence detection and diffraction detection; performing quantitative analysis on a mineral constituent in the ore pulp according to an X-ray fluorescence detection result and a qualitative standard diffraction diagram gallery; combining a result of quantitative analysis on the mineral constituent with a diffraction detection result, and by analyzing a diffraction peak of water, establishing a correction equation between a diffraction peak and concentration to finally realize on-line analysis on the ore pulp. By adopting the method disclosed by the invention, the on-line analysis on the mineral constituent in the ore pulp can be realized, and mineral constituent information is provided for a flotation dressing process in real time; meanwhile, problems of traditional technologies of the on-line analysis on the ore pulp, in-situ calibration and the like are also solved, and the on-line analysis method is convenient for popularization and application.

The invention relates to an ultrasonic multi-point roadway surface displacement monitoring device, which comprises a split type receiving transducer R and a transmitting transducer T which are arranged at the left side of a roadway, two split type transmitting transducers T and a receiving and transmitting integrated transducer RT which are arranged at the middle top of the roadway, and two split type receiving transducers R which are arranged at the right side of the roadway, thereby forming an upper triangular left side measuring line, a center line top bottom measuring line, an upper triangular right side measuring line and an upper triangular horizontal measuring line. Each split type receiving / transmitting transducer or integrated transducer adopts a four-core cable to be laid to a monitoring host along the roadway, and the monitoring host is connected with a remote upper computer through an RS485 or a wireless Zigbee. An RT matching latch module, an ultrasonic ranging module, a display alarm module, a data storage and wireless acquisition module, a remote data transmission module and a power supply module which are connected with the ultrasonic receiving / transmitting transducers are arranged inside the monitoring host. The ultrasonic multi-point roadway surface displacement monitoring device utilizes the ultrasonic ranging principle, and is stable in monitoring.

The invention relates to a zymohydrolysis method of protein samples, in particular to a porous organic-inorganic hybrid silica bulk material carrier which is prepared and obtained by using tetraethoxy silane and aminopropyl triethoxysilane as precursor molecules, using cetyltrimethylammonium trimethyl bromide ammonia as template molecules, using absolute ethyl alcohol as cosolvent through a sol-gel method and a template molecule self-assembly method. Hybrid silica bulk materials are activated by glutaric dialdehyde. After trypsinase is fixed, an organic-inorganic hybrid silica bulk material immobilized enzyme reactor is prepared. The invention has the advantages of simple and convenient preparation method, good permeability of the enzyme reactor, little counter pressure, high mechanical strength and high zymohydrolysis activity. Compared with free solution zymohydrolysis, the invention largely shortens reaction time, avoids the self-degradation of enzyme, can be repeatedly used, and also can be combined with an HPLC-MS / MS or CE-MS / MS system, thereby the on-line analysis of samples is realized.

The invention discloses a multi-mode ionization source, a multi-mode ionization source system, a mass spectrum, and a method for analyzing a to-be-tested sample with the mass spectrum. The multi-mode ionization source comprises a capillary tube, an internal electrode, an insulating tube, an external electrode, a tee fitting, an insulating sleeve, a metal ring, a conductive member and a regulating member, wherein the outlet of the internal electrode in the axial direction is located between the insulating tube and the outlet of the outer electrode. The multi-mode ionization source can be easily switched between two modes of electrospray ionization and plasma ionization, which can effectively improve the efficiency of analysis and detection, avoid the complicated dismounting process of the ionization source and realize the highly sensitive detection of components in the complex sample. The multi-mode ionization source is especially suitable for a variety of polar and non-polar small molecule compounds.

The invention discloses a normal pressure micro glow discharge desorption mass spectrum ion source based on magnetic field constraint. The normal pressure micro glow discharge desorption mass spectrum ion source based on magnetic field constraint comprises an ion source body used for generating normal pressure micro glow discharge, a Helmholtz coil used for providing a uniform magnetic field for restraining a micro glow discharge plasma and a sample ion, and an annular electrode used for generating a static electric field to assist in focusing charged particles, wherein the ion source body is located in the magnetic field generated by the Helmholtz coil, and ion current generated by the ion source body passes an electric field generated by the annular electrode. The invention further discloses a mass spectrometer adopting the normal pressure micro glow discharge desorption mass spectrum ion source based on magnetic field constraint. The normal pressure micro glow discharge desorption mass spectrum ion source based on magnetic field constraint and the mass spectrometer are low in energy consumption, small and exquisite in appearance, simple in structure and easy and convenient to operate, have little influence on the outside, are high in signal enhancement degree, are free of sample pretreatment, carry out analysis quickly, can reach the purpose of harmless analysis, and are clean and free of pollution.

The invention discloses a method for measuring lignin of a reconstituted tobacco by a paper-making process by virtue of a near infrared reflectance spectroscopy technique. The method comprises the following steps: (1) collecting and preparing a representative sample; (2) collecting an original spectrum; (3) selecting a correcting sample set and a verifying sample set; (4) measuring a reference value of the sample; (5) carrying out pretreatment on spectrum; (6) establishing a PLC model; (7) verifying the model; and (8) measuring the lignin. The method disclosed by the invention is simple, feasible and fast. By adopting a near infrared spectrum nondestructive detection technology, not only can the analytical efficiency be enhanced and the cost be lowered, but also the method has obvious practicality for accurately measuring the lignin of the reconstituted tobacco, improving the detection efficiency and objectively reflecting the product quality. The method disclosed by the invention has the advantages of high detection speed, no pollution, greenness and environmental protection, high accuracy, good repeatability and the like, and is suitable for on-site analysis and fast detection of the lignin as well as online monitoring of fluctuation of product quality.

The invention discloses a normal-pressure micro-glow discharge desorption mass spectrum ion source and a mass spectrometry device composed of the ion source. The ion source mainly comprises a micro-plasma generation cavity formed in an insulating material base part, a pair of breakdown electrodes fixedly arranged on the wall face of the micro-plasma generation cavity, and a gas path conversion connector fixedly arranged at the inlet end of the micro-plasma generation cavity and used for being connected with a working gas introduction system, wherein the electrodes are connected with an adjustable direct-current and stable-voltage power supply. The mass spectrometry device mainly consists of the working gas introduction system, the normal-pressure micro-glow discharge desorption mass spectrum ion source, the adjustable direct-current and stable-voltage power supply, a mass spectrometer and a mass spectrum data processing system. The mass spectrometry device is used for carrying out spectral analysis on a sample and has the very prominent advantages in multiple aspects of small needed power, less needed gas amount, no need of toxic reagents, low plasma gas temperature, no pollution to the environment, simplicity and convenience for operation, no need of pre-treating the sample, high detection sensitivity, capability of realizing high-flux online detection and the like.

The invention discloses a metering error calculation method based on ITD and time sequence analysis. According to the metering error calculation method based on ITD and time sequence analysis, rotational components and trend components of a metering error historical time sequence are separated online through the ITD decomposition method, an ARMA model is adopted to the trend components changing stably for error modeling prediction, an ARIMA model is adopted to the rotational components not changing stably for predicting this part of errors, finally, prediction values of all error component prediction models are superposed, the prediction result of electric power metering errors is calculated in real time, and online analysis and small prediction errors can be achieved. The method is suitable for application and popularization in the technical field of gateway metering equipment condition assessment.

The invention discloses a human body skeleton modeling method, and relates to the technical field of human body skeleton modeling. The modeling method comprises the steps that sensors are installed on the human body joints and connected with a detecting host; action catching is carried out through the sensor arrays installed on the joints, fitting is carried out on data points in a video to form a spline; the edge contour curve is processed through a smooth and optimization algorithm of the spline; the limbs are abstracted into simple rigid geometric solids according to the layer structure of the joint connecting bodies of the human body, and a sample of a human body skeleton model is established through a VRML; skeleton models of the limbs can be obtained by changing the sample model. The human body skeleton features are analyzed and recognized through the action recognizing technology based on the video, operation is easy, the quick and accurate modeling purpose can be achieved, and online analyzing is achieved.

The invention discloses an analysis pretreatment device for stable carbon isotopes in carbonate dissolved in water bodies. The analysis pretreatment device comprises a reagent bottle, a dryer, a valve, an injection pump, a one-way check valve, a high-purity nitrogen bottle, an electromagnetic valve I, an electromagnetic valve II, a reaction flask, a cold well, a vacuum pump, a gas collecting bottle, a magnetic stirrer and an isotope mass spectrometer. The reagent bottle is communicated with external atmosphere via a gas inlet tube; the reagent bottle is communicated with the reaction flask viaa liquid delivery tube; the reaction flask is communicated with the cold well via a gas delivery tube; the cold well is communicated with the vacuum pump, the gas collecting bottle and the isotope mass spectrometer via gas delivery tubes. The analysis pretreatment device has the advantages that CO2 gas in residual air in the analysis pretreatment device can be jointly removed by the aid of vacuumizing and purging processes, and accordingly interference on experimental results can be reduced; samples are stirred by the magnetic stirrer, accordingly, the reaction rate of phosphoric acid and soluble inorganic carbon can be increased on the premise that the gas tightness of the analysis pretreatment device is not destroyed, the reaction time can be shortened, and the analysis efficiency can be improved.

The invention discloses an operation state prediction method used for a metering device. The operation state prediction method can perform online analysis and has low prediction error. According to the operation state prediction method used for the metering device, the accumulative time sequences XX(t) of the metering device from 0 to the t moment are acquired firstly, and then the matrix B and the data column y of a prediction model are constructed; then the parameters coef1, coef2 and coef 3 of the prediction model are calculated; and the prediction value mXX(t+1) of the accumulative time sequences is calculated by utilizing the prediction model, and finally the operation state scoring parameter value Xorig(t+1) of the metering device in the future t+1 is calculated. According to the method, online analysis and prediction of the operation state of the metering device can be realized, and the prediction error is low so that the operation state prediction method used for the metering device is suitable for being popularized and applied in the technical field of gateway metering equipment state assessment.

The invention relates to a method for distinguishing paper process reconstituted tobacco products via near infrared spectroscopy in combination with PLS-DA, belonging to the technical field of paper process reconstituted tobacco. The method mainly comprises the following steps: (1) collecting and preparing flaky samples; (2) scanning the spectrum; (3) pre-treating the spectrum; (4) detecting and removing an abnormal value; and (5) establishing and verifying a PLS-DA model. A classification model of reconstituted tobacco products is established by near infrared technology in combination with PLS-DA, and has the advantages of high detection speed, high classification accuracy, high classification efficiency and the like and is used for quickly classifying reconstituted tobacco products with different shop signs, and the established classification model has good classification ability and has important significance on primary online monitoring of quality stability of the reconstituted tobacco products.

The invention relates to a thermal power boiler denitrification system flow field optimization device, aiming to solve the problem of unreasonable distribution of a thermal power boiler SCR denitrification smoke flow field. The device mainly comprises a movable porous air distributor assembly, a high-temperature-resistant online flow rate measuring instrument, catalyst layer inlet and outlet sampling guns, catalyst layer inlet and outlet test holes, a sampling tube electric switch, a sampling header, a sampling pump, a smoke analyzer, an online ammonia concentration analyzer, a computer processing system and the like. According to data such as smoke flow rate, concentration of nitrogen oxides and escape ammonia concentration, the device can be used for calculating activity index of catalysts in different area on line, and automatically computing smoke flow rate dynamic allocation schemes, and further can realize online adjustment of the smoke flow field by the movable porous air distributor assembly, so that ammonia escape is reduced to the utmost extent, residual service lives of the catalysts can be balanced, and maintenance cost of the boiler catalysts can be lowered.

The invention relates to a Raman spectrum analysis method. For solving lots of adverse influences caused by the adding of Raman spectrum analysis internal standard of PUREX flow uranium, the invention provides a Raman spectrum analysis method of sexivalent uranium. The method comprises the following steps: preparing a series of organic solutions containing sexivalent uranium in different concentration, respectively acquiring the Raman spectrum; preparing a series of relative Raman spectrum using relative strength as longitudinal coordination to draw a standard curve; acquiring the Raman spectrum containing sexivalent uranium to-be-tested sample, preparing the relative Raman spectrum, substituting the relative strength of the sexivalent uranium spectrum peak into the standard curve to obtain the sexivalent uranium concentration of the to-be-tested sample. The analysis method disclosed by the invention adopts the self solvent of the PUREX flow organic phase as the internal standard without extra adding the internal standard, the adverse influence on the analysis result accuracy due to the adding of the internal standard is fundamentally solved, the analysis sample is easy to recycle and cannot produce the radioactivity waste liquor, and the radioactivity operation burden is obviously reduced.

The invention relates to an on-line management method of checking and tracking of job schedule abnormalities. According to the method, based on a remote interaction platform, through interaction and data conversion among a submitting end microcomputer device, an audit end microcomputer device and a server end computer system, on-line analysis of the job schedule abnormalities and on-line checking and tracking of job schedule abnormality data processing are achieved. An object oriented operation interface is published through the server computer system, data is stored in a data base server and shared by all the operators using the platform, operating authorization is controlled through authorization, and when the realtime performance of the data is ensured, the data is controlled not to be changed at will. The on-line management method of the checking and the tracking of the job schedule abnormalities is beneficial to urging a duty officer to process schedule abnormality data in time, and reducing losses caused by unordered abnormality processing.

The invention discloses a gas supply monitoring and alarming device which comprises a shell, a main-supply gas source pressure gauge, a stand-by gas source pressure gauge, a gas output pressure gauge,a gas switching control display screen, a gas purity analysis display screen and a remote alarm, wherein the gas switching control display screen is embedded in the shell and is used for switching and displaying the communication of a main-supply gas source or a stand-by gas source and a gas output pipeline; the gas purity analysis display screen is embedded in the shell and is used for detectingand displaying the gas purity of the gas output pipeline; and the remote alarm is arranged on the shell. When any one of the pressure of the main-supply gas source, the stand-by gas source or the gasoutput pipeline is deviated from the threshold range representing security, the remote alarm gives an alarm and automatically sends an alarm signal and information to a terminal. The gas supply monitoring and alarming device can clearly display and easily control gas switching, gives efficient early warning, and has strong industrial and medical application value.

The invention provides a visualization platform and method based on electric power big data. The visualization platform comprises a data processing end and an online data analysis front end, the data processing end is used for performing data integration, storage management and complex data calculation and analysis on the operation data of the power system to obtain power big data and perform data transmission; and the online data analysis front end is used for analyzing the electric power big data based on a pre-established electric power system model, organizing the electric power big data into a data structure required by visualization, and displaying the data structure through a visualization technology. By utilizing the method, large-scale electric power big data can be processed, the processing timeliness is high, the data types which can be processed are complex and diversified, the defects of non-structuralization of the traditional technical means and the insufficient processing capability of other data formats such as space vector data are overcome, the problem that the traditional technical means cannot meet the requirement of electric power big data processing is solved, and the method is suitable for large-scale electric power big data processing. And main business applications such as electric power big data online analysis, multi-dimensional query and large-scale analysis and calculation are realized.

The invention belongs to the technical field of radioactive waste liquid analysis, and discloses an apparatus for simultaneously determining sulfate radical and phosphate radical in high-level radioactive liquid waste and a method thereof. The apparatus and the method use a raman spectrometer to realize the analysis of sulfate radical and phosphate radical in the high-level radioactive liquid waste, wherein a sampling device and an analytical device are respectively connected with an analytical hot chamber through a tunnel arranged on the analytical hot chamber. The apparatus and the method have the beneficial effects that pretreatment is not required, operation is simple, and on-line analysis and long-distance control can be realized.

The invention provides a no-time-mark order tracking method based on self-demodulation transform, comprising the following steps of: firstly, adsorbing an accelerated speed or speed sensor on a tested rotary machine and collecting a vibration signal; utilizing fractional order Fourier transform to carry out time frequency rotation on the vibration signal and projecting to a frequency axis; searching a corresponding Fourier transform order alpha obtained by projecting the extreme great value of a characteristic frequency component; then extracting a stable projection amount of the characteristic frequency component by adopting a band-pass filtering method; carrying out alpha order fraction Fourier transform to obtain an engaged frequency component; then carrying out Hilbert transform to obtain an instantaneous phase of the engaged frequency component; and finally, utilizing the instantaneous phase to carry out the self-demodulation transform on the original vibration signal to obtain an order spectrum of rotary equipment, so as to finish the no-time-mark order tracking. According to the no-time-mark order tracking method based on the self-demodulation transform, the dependence on a time mark can be get rid, so that the no-time-mark order tracking method not only can be suitable for a weak rotary speed fluctuation condition, but also can be suitable for online of the rotary machine under a large rotary speed fluctuation condition of starting and stopping the machine; and the real-time order tracking is realized.

The invention discloses a method for measuring cellulose of a reconstituted tobacco by virtue of a near infrared reflectance spectroscopy technique. The method comprises the following steps: (1) collecting and preparing a representative sample; (2) collecting an original spectrum; (3) selecting a correcting sample set and a verifying sample set; (4) measuring a reference value of the sample; (5) carrying out pretreatment on spectrum; (6) establishing a PLC model; (7) verifying the model; and (8) measuring cellulose. The method disclosed by the invention is simple, feasible and fast. By adopting a near infrared spectrum nondestructive detection technology, not only can the analytical efficiency be enhanced and the cost be lowered, but the method also has obvious practicality for accurately measuring the cellulose of the reconstituted tobacco, improving the detection efficiency and objectively reflecting the product quality. The method disclosed by the invention has the advantages of high detection speed, no pollution, greenness and environmental protection, high accuracy, good repeatability and the like, and is suitable for on-site analysis and fast detection of the cellulose of a reconstituted tobacco product as well as online monitoring of fluctuation of product quality.

The invention discloses a method for measuring paper process reconstituted tobacco filling value via near infrared diffuse reflection spectroscopy. The method comprises the following steps: (1) collecting samples; (2) collecting an original spectrum; (3) selecting a correction sample set and a validation sample set; (4) determining a sample reference value; (5) pre-processing the spectrum; (6) establishing a PLS model; (7) verifying the model; and (8) measuring the filling value. The method disclosed by the invention is simple, feasible and fast, the near infrared spectrum non-destructive testing technology can be used for not only improving the analysis efficiency and saving the cost, but also has obvious practicability of accurately measuring the reconstituted tobacco filling value, improving the detection efficiency and objectively reflecting the product quality. The method disclosed by the invention has the advantages of fast detection speed, no pollution, environmental protection, high accuracy and good reproducibility, and is suitable for onsite analysis and fast detection of the reconstituted tobacco filling value and online monitoring of product quality fluctuation.