40 results about "Relaxation spectrum" patented technology

The invention provides a color image forming method including charging, developing, transferring and fixing. The fixing includes thermally fixing a toner image to paper by using a heating body and a pressurizing member which is positioned opposite to the heating body via a film-like member. The color toner includes a toner particle containing a crystalline resin and a non-crystalline resin. When the color toner is subjected to dynamic viscoelasticity measurement employing a sine wave vibration method, a minimum value of the relaxation elasticity H in a relaxation spectrum obtained from frequency dispersion characteristics when a measurement frequency measured at 60 and 80° C. is 0.1 to 100 rad/sec and a measurement strain at a frequency of 6.28 rad/sec is 0.1 %, is in a range of about 10 to 900 Pa/cm². A relaxation time λ corresponding to the minimum value is in a range of about 1 to 10,000 sec.

The invention discloses a low field nuclear magnetic resonance-applied frozen beef freshness nondestructive testing method. The low field nuclear magnetic resonance-applied frozen beef freshness nondestructive testing method comprises the following steps of (A) sample collection, (B) sample measurement, (C) sample low field nuclear magnetic analysis, (D) multiple freshness-related index measurement, (E) model establishment, (F) model assessment and (G) measurement of freshness of samples to be detected. By establishing a mathematical predication model reflecting fresh beef moisture content relaxation spectrum information and multiple indexes related to fresh beef freshness to accurately and reliably detect multiple indexes of an unknown fresh beef simultaneously such as thiobarbituric acidreactive substances (TBARS), volatile basic nitrogen (TVB-N) and pH, the low field nuclear magnetic resonance-applied frozen beef freshness nondestructive testing method can help predict the storagetime of the beef and achieve rapid and nondestructive detection and assessment of the freshness of the fresh beef. The low field nuclear magnetic resonance-applied frozen beef freshness nondestructivetesting method is rapid and accurate, avoids influence of beef surface properties, and during measurement, has no damage to the beef.

The invention relates to a texture quality non-destructive testing method in a sea cucumber heating process. The texture quality non-destructive testing method includes the steps: A) establishing a low field nuclear magnetic resonance transverse relaxation spectrum information database in the sea cucumber heating process; B) establishing a texture information database in the sea cucumber heating process; C) analyzing correlation information between the low field nuclear magnetic resonance transverse relaxation spectrum information obtained in the step A) and the texture information obtained in the step B); D) carrying out low field nuclear magnetic resonance testing on to-be-detected sea cucumber, to obtain transverse relaxation spectrum information; and E) comparing the transverse relaxation spectrum information obtained in the step D) with the low field nuclear magnetic resonance relaxation spectrum database information in the sea cucumber heating process established in the step A), selecting similar low field nuclear magnetic resonance relaxation spectrum database information as a reference value, according to the correlation information, which is obtained in the step C), between the low field nuclear magnetic resonance transverse relaxation spectrum information and the texture information, referring to the information of the texture information database established in the step B), and speculating to obtain a texture characteristic speculation value of the sample sea cucumber.

The invention discloses a method for measuring soybean oil and water content using low-field nuclear magnetic resonance technology. The specific steps are as follows: measure the oil content of the sample, and measure the water content of the sample; use the low-field nuclear magnetic resonance technology CPMG sequence to measure the soybean sample, and use one-dimensional reverse Lapp Rass algorithm was used to process the relaxation spectrum data of each soybean sample; the actual oil and water content of each soybean sample was corresponding to the relaxation spectrum data; the chemometric method was used for fitting to obtain the prediction model of soybean oil and water content Using the same method to detect and process the soybeans to be tested to obtain the relaxation spectrum data of the soybean samples to be tested; to call the established soybean oil and water content prediction model to obtain the determination of the oil and water content of the soybeans to be tested. The method of the present invention does not require complex pretreatment, does not destroy samples, and conforms to the development direction of green chemistry; it can realize rapid detection and analysis of soybean oil and water content within a few minutes, which is faster and more efficient.

The invention relates to electromagnetic prospecting and is used for surface and marine electromagnetic sounding by means of controllable electromagnetic field sources and is applied in a package oil and gas prospecting works for searching and outlining oil and gas fields. The inventive method is based on the selection of a response from earth materials which are secondary modified by hydrocarbons migration. The invention makes it possible to ensure a set of processing technologies enabling to layer-by-layer determine an electrical resistivity and process characteristics of a medium induced polarisation: a polarizability coefficient, a time constant and a relaxation spectrum width. The inventive method consists in carrying out a measurement by several receiving lines, wherein the position of two feeding lines of a sounding plant is substantially symmetrical with respect to the receiving lines which are located within a 30 DEG sector from the feeding line extensions, in recording a transient signal by land axial-dipole sounding devices or by marine sounding devices associated with a continuous signal recording during a ship travel and in calculating the population of interpretable parameters P1, Df, UH, Ps using recorded potential difference curves(U(i) is less than 2, and 2 is more than U(i))which are preliminary processed, contracted in the form of time gates and differentiated.

The invention provides an edible oil transverse relaxation signal feature extraction method based on a 2D-CNN. The method comprises the following steps: S1, reading CPMG original data, and carrying out inversion to obtain inversion data; S2, respectively preprocessing the CPMG original data and the inversion data; S3, drawing a transverse relaxation attenuation curve and a multi-component relaxation spectrum; S4, constructing a two-dimensional convolutional neural network; S5, extracting data from the self-transverse relaxation attenuation curve and the multi-component relaxation spectrum to form a training set and a test set; S6, inputting the training set into a two-dimensional convolutional neural network; S7, inputting the test set into the trained two-dimensional convolutional neuralnetwork; And S8, obtaining a classification result. 2D-based method of the invention According to the CNN edible oil transverse relaxation signal feature extraction method, edible oil transverse relaxation is directly subjected to feature extraction and classification through the two-dimensional convolutional neural network model, ineffective features can be effectively prevented from being generated, and the accuracy of a classification result is guaranteed.

The invention discloses a low field nuclear magnetic resonance detection method of edible gelatin quality. The method comprises the following steps: a, after edible gelatin and technical gelatin are dissolved in distilled eater according to 25% of water massic volume concentration, low field nuclear magnetic resonance detection is carried out so as to obtain low field nuclear magnetic resonance relaxation spectrum information of pure gelatin; a series of edible gelatin adulteration samples doped with different mass percentages of technical gelatin are prepared and low field nuclear magnetic resonance detection is carried out to obtain low field nuclear magnetic resonance relaxation spectrum information of each adulteration sample, and a low field nuclear magnetic resonance relaxation spectrum information database of edible gelatin is established; and b, gelatin samples to be detected undergo low field nuclear magnetic resonance detection, and obtained relaxation spectrum information and the relaxation spectrum information in the low field nuclear magnetic resonance relaxation spectrum information database of edible gelatin are analyzed and compared, and whether technical gelatin is doped in the edible gelatin to be detected is determined. The method provided by the invention has advantages of high accuracy of measuring results, good repeatability, good stability, low time consumption and the like.

The invention provides a method for detecting texture quality by low field nuclear magnetic resonance in a sea cucumber salting process. The method comprises a step (1) of establishment of a horizontal relaxation spectrum picture T2 of salted sea cucumber quality and a magnetic resonance imaging information database, a step (2) of establishment of a TPA texture information database of a salted sea cucumber, and a step (3) of correlation analysis of horizontal relaxation spectrum picture information of the salted sea cucumber and TPA texture information. According to the method, the low field nuclear magnetic resonance relaxation spectrum picture and magnetic resonance imaging information are utilized to identify the quality of the salted sea cucumber, compared with the traditional method for identifying the quality of the salted sea cucumber, the nuclear magnetic resonance technology enables a sample to maintain integrity, the operation method is simple and quick, and the measuring result is precise. The measuring result cannot be influenced by the size and the appearance color of a material sample. In addition, the method has the remarkable advantages of being convenience in sample preparation and being quick to measure, high in precision and good in reproducibility and the like.

The invention discloses a hydrogen acoustic rotational relaxation detection method and a theoretical model. The invention puts forward a detection theoretical model based on hydrogen molecule rotational relaxation by utilizing a relationship between ideal gas enthalpy change and heat capacity at constant pressure, and relaxation characteristics of hydrogen can be detected. The theoretical model not only is suitable for the hydrogen, but also is capable of combining with a vibration relaxation model of other gases so as to solve an acoustic relaxation absorption curve and an acoustic speed frequency spectrum of a hydrogen-containing mixed gas and generating a standard acoustic relaxation spectrum database of the hydrogen and the hydrogen-containing mixed gas, so that the components and theconcentration of the hydrogen mixed gas can be detected.

The invention discloses a T2-T1 two-dimensional intersection diagram-based four-gas reservoir fluid discrimination method. The method comprises the following steps: step 1, selecting a two-dimensionalnuclear magnetic resonance GAS2D712 observation mode to obtain echo string data under multi-waiting time Tw; solving a hydrogen nuclear number fjr of longitudinal and transverse relaxation time; finally obtaining a T2, T1 one-dimensional distribution spectrum and a two-dimensional intersection diagram T2-T1; step 2, determining characteristic values and distribution intervals of fluids such as capillary bound water, movable water and methane gas by measuring nuclear magnetic resonance relaxation spectrums T2 and T1 of the rock core; and step 3, further analyzing the characteristics of the nuclear magnetic resonance relaxation spectrum, and determining the distribution positions and limit values of different fluids, especially movable water and natural gas signals. According to the invention, the characteristics and regularity of different fluids on a two-dimensional nuclear magnetic spectrum are found by utilizing the characteristic that the natural gas and the movable water have obvious difference in a nuclear magnetic resonance relaxation spectrum, especially a T1 spectrum, so that the fluid discrimination method suitable for the Sichuan-West four-gas reservoir is formed.

The invention relates to a method for measuring the activation energy of hydroxy in an oxy glass. The method comprises the following steps: S1: making a sample into a glass rod with preset size; S2: performing temperature relaxation spectrum measurement on the glass rod by utilizing a dynamic thermodynamics analyzer, and obtaining a temperature relaxation spectral graph; S3: according to the temperature relaxation spectral graph, obtaining corresponding activation energy of the glass rod. The method for measuring the activation energy of the oxy glass, provided by the invention, can be applied to characterize the influence of the hydroxy in the oxy glass to a glass structure; the method is simple, convenient and quick, the stability and the credibility is high.

The invention relates to a nuclear magnetic resonance imaging method for chemical material component detection. The method comprises the following steps: selecting a detection condition, setting a sample to be detected, deriving chemical component images, performing inversion by a computer, analyzing the material structure and the chemical components, and plotting a time-chemical shift diagram and a time-component diagram. A nuclear magnetic resonance imaging machine is used for measuring a nuclear magnetic resonance chemical shift spectrum and a relaxation spectrum of the sample to be detected, so as to obtain the relation between chemical structure change and intermolecular force; component correlation analysis is carried out by using chemical shift as a chemical component image; computer inversion is carried out to obtain a spatial distribution chemical structure spectrum distribution map and a relaxation spectrum; different chemical shift images are selected by software, and analysis is carried out to obtain the material structure and the chemical components; a time-chemical shift diagram and a time-component diagram are plotted to obtain a chemical shift spectrum and a component distribution map with time change. The method of the invention has the advantages of convenient operation, accurate imaging, high automation degree, and reliable analytic data.

The present invention provides a method and device for distinguishing components of NMR organic shale, wherein the method includes: sending at least one nuclear magnetic pulse sequence to the shale, the nuclear magnetic pulse sequence is used to interact with the hydrogen nuclei in the shale, and the nuclear magnetic pulse sequence The sequence sequentially includes the first editing pulse and the acquisition pulse used to acquire the feedback signal in order to obtain the feedback signal of the NMR pulse sequence emitted by the hydrogen nuclei in the shale; invert the relaxation spectrum of the hydrogen nuclei in the shale according to the feedback signal . In the method and device for distinguishing NMR organic shale components of the present invention, since the first editing pulse includes two 90-degree pulses with a phase difference of 180 degrees, the feedback signal of hydrogen nuclei in the organic matter components in the shale skeleton is suppressed , the feedback signal only includes the feedback signal of fluid hydrogen nuclei, and then according to the inversion of the feedback signal, the relaxation spectrum of hydrogen nuclei in the fluid in shale is obtained, which avoids the indistinguishable mixing of the feedback signals of hydrogen nuclei in organic matter and pore fluid. question.

The invention discloses a layer-selecting T2 relaxation spectrum rapid testing method for a porous medium. According to the device, a T2 relaxation spectrum test pulse sequence with a layer-selectingfunction is designed, and under a constant layer-selecting gradient, layer-selecting coding is simultaneously conducted on spatial position points by using a CPMG pulse sequence, so that test analysisof nuclear magnetic resonance T2 relaxation spectrums at different layer-selecting positions in the porous medium is realized, and physical property parameter characteristics of different positions of the porous medium can be obtained.

The invention discloses a relaxation spectrum detection device and method. The relaxation spectrum detection device comprises a computer, a visible /near-infrared spectrometer, a sample pallet arranged in a lightproof sample cell, a halogen lamp, and a light source controller and a fiber-optic probe both electrically connected with the halogen lamp, wherein the sample cell is provided with a collecting end; the fiber-optic probe is separately connected with the visible/near-infrared spectrometer and the halogen lamp via a bifurcated optical fiber; and the computer is in data connection with the visible/near-infrared spectrometer. The relaxation spectrum detection device provided by the invention has the characteristics of high detection efficiency and high detection precision.

The invention discloses a method for judging Mactra chinensis protein denaturation based on low-field nuclear magnetic resonance. The method adopts low-field nuclear magnetic resonance analysis, acquires echo attenuation curve data of boiled Mactra chinensis by using an IR-CPMG pulse sequence method, processes nuclear magnetic resonance echo signals by using a multi-dimensional function processingmethod to obtain a T1 relaxation spectrogram and a T2 relaxation spectrogram of the Mactra chinensis, and acquires a T1-T2 two-dimensional spectrogram in combination with a nuclear magnetic 2D spectrogram; whether the Mactra chinensis protein is denatured or not is judged according to the T1-T2 two-dimensional spectrogram, and the denaturation standard is that a proportion of a peak area corresponding to the longest transverse relaxation time component is smaller than 4% and the T1 relaxation spectrogram corresponding to the longest transverse relaxation time component has a peak splitting phenomenon. According to the method, the protein denaturation condition can be quickly judged, a new thought can be provided for quality formation in the food processing process, the product maturity isjudged, the processing process is monitored to adjust the processing time, and therefore the product quality is controlled.