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205results about How to "Accurate and reliable identification results" patented technology

Method for identifying Chinese herbal medicines by using THz-TDS combined with chemometrics

The invention relates to a method for identifying Chinese herbal medicines by using THz-TDS combined with chemometrics, which mainly comprises the following steps: carrying out detection on a Chinese herbal medicine sample by using the THz-TDS so as to obtain a terahertz time domain spectroscopy, and after the terahertz time domain spectroscopy is subjected to Fourier transform and calculated by using Timothy and Duvillaret methods, obtaining an absorption coefficient spectrum, and dividing the absorption coefficient spectrum into a training-set sample and a validating-set sample absorption coefficient spectrum; carrying out preprocessing on the training-set sample and the validating-set sample absorption coefficient spectrum by using an orthogonal signal correction method; establishing a qualitative analysis model by using the least squares support vector machine (SVM) method according to the training-set sample and the validating-set sample absorption coefficient spectrum so as to carry out identification on the Chinese herbal medicine sample. The method disclosed by the invention is simple, pollution-free, capable of rapidly and accurately carrying out nondestructive identification on the Chinese herbal medicines, and applicable to the quality control in the process of Chinese herbal medicine production, and the identification accuracy of the method can reach 97.84+ / -1.62%.
Owner:CAPITAL NORMAL UNIVERSITY

Hybrid power tramcar speed adjusting method based on real-time power of power system

The invention discloses a hybrid power tramcar speed adjusting method based on real-time power of a power system. The method comprises the steps that a tramcar energy consumption model is established,and an offline planned speed-time curve of a tramcar is solved; basic resistance parameters of the tramcar are identified, self-adaptive online adjustment is carried out, and an accurate speed powermodel of a tramcar system is established; the tramcar runs according to the offline planned speed-time curve, and the real-time maximum power of the whole power system is compared with the real-time power of the power system, so that the self-adaptive adjustment of the running speed of the tramcar is realized; and the path difference caused by the speed adjustment is taken as a coefficient, and the path difference caused by the speed adjustment is eliminated through speed closed loop feedback. The hybrid power tramcar speed adjusting method automatically adjusts the running speed of the tramcar according to the real-time maximum power of the power system, and provides a speed-time curve with online tracking and self-adaptive adjustment for an automatic train driving system; and the power performance is exerted to the maximum extent, and safe, reliable, punctual running of a vehicle can be ensured.
Owner:SOUTHWEST JIAOTONG UNIV

Liquid chromatography-mass spectrometry screening method of unknown toxic substances in blood

ActiveCN107478747AEnsure highly sensitive and effective testingQuick checkComponent separationToxicantScreening method
The invention discloses a liquid chromatography-mass spectrometry screening method of unknown toxic substances in blood. The liquid chromatography-mass spectrometry screening method comprises the following steps: taking a blood sample to be detected, adding acetonitrile precipitated protein, oscillating, centrifuging, taking a supernatant, filtering by using a 0.22-micron microporous organic filter membrane, then performing LC-MS/MS analysis, and judging whether the blood sample to be detected contains toxic substance components or not according to an analysis result; the used instrument is an ultraLC 100-XL-4000Q TRAP liquid chromatograph/mass spectrometer or an Agilent 1100 liquid chromatography-AB 3200 QTRAP triple serial quadrupole mass spectrometer from an AB company. By the liquid chromatography-mass spectrometry screening method, detection methods of different types of toxic substances are established, detection is fast and accurate, the detection limits of common toxic substances are given, high-sensitivity and effective detection of all target objects are guaranteed, a scientific data support is provided for a negative detection result, and thus a strong scientific basis is provided for relevant clinical diagnosis and rescue as well as criminal investigation and litigation.
Owner:山东省公安厅

Ralstonia solanacearum disease resistance high density identification method in field

The invention discloses a ralstonia solanacearum disease resistance high density identification method in the field, comprising: 1) cultivating ralstonia solanacearum disease nursery; 2) tidying disease nursery field in due time: before tobacco in the disease nursery is transplanted, tidying land to reach the requirement of ridging, furrowing and covering with a mulching film due to finely divided soil; according to the requirement that the width of each furrow is 1.5-2.5m and the ditch width between furrows is 0.5-0.7m, making a furrow, levelling furrow surface, and adjusting length according to the size of a plot; 3) determining cultivating density, and adopting a parallel furrow transplant mode: transplanting more than 3-5 lines in each furrow with the row spacing of 0.2-0.4m; 4) reasonably applying fertilizer, and strengthening field management: at the weight ratio of 1:1-2:1-2 of nitrogenous fertilizer, phosphatic fertilizer and potassic fertilizer, adopting a mulching film covering mode, and paying attention to field irrigation; and 5) inspecting and grading state of illness. The invention has the advantages that the ralstonia solanacearum disease resistance high density identification method in the field improves large field identification efficiency of ralstonia solanacearum disease resistance, can be applied to identify ralstonia solanacearum disease resistance, can improve identification material for above 4-6 times under the condition of same capital and disease nursery area and can be applied to breed ralstonia solanacearum disease.
Owner:INST OF TOBACCO ANHUI ACADEMY OF AGRI SCI

Method for identifying whether blood-glucose-lowering traditional Chinese medicine contains pioglitazone or rosiglitazone or not

The invention provides a method for identifying whether a blood-glucose-lowering traditional Chinese medicine contains pioglitazone or rosiglitazone or not. The method comprises the following steps: carrying out thin layer chromatography on a blood-glucose-lowering traditional Chinese medicine to be detected; finding a suspected spot at a corresponding Rf value part of the pioglitazone and the rosiglitazone. The method is characterized by further comprising the following three steps: 1, collecting a series of one-dimensional surface enhanced Raman spectrums of the suspected spot to obtain a dynamic spectrum pattern of the blood-glucose-lowering traditional Chinese medicine to be detected; 2, pre-treating the dynamic spectrum pattern and drawing to obtain a two-dimensional correlation surface enhanced Raman spectrum of the blood-glucose-lowering traditional Chinese medicine to be detected; 3, judging whether the blood-glucose-lowering traditional Chinese medicine contains the pioglitazone or the rosiglitazone or not according to the two-dimensional correlation surface enhanced Raman spectrum of the blood-glucose-lowering traditional Chinese medicine to be detected. According to the technical scheme provided by the invention, whether the blood-glucose-lowering traditional Chinese medicine contains the pioglitazone or the rosiglitazone or not can be identified rapidly; the detection result is accurate and reliable, the cost is low and the operation is convenient.
Owner:SECOND MILITARY MEDICAL UNIV OF THE PEOPLES LIBERATION ARMY

Method for estimating remaining power of electric vehicle power battery

The invention discloses a method for estimating the remaining power of an electric vehicle power battery. The method comprises steps that based on the volume Kalman algorithm, a model for estimating the remaining power of the power battery is established; polarization internal resistance Rp(k), polarization capacitance Cp(k), equivalent ohmic internal resistance R0(k), the remaining power SOC (k)and an end voltage Ut(k) of the power battery at the time k are obtained; an open circuit voltage UOC(k) of the power battery at the time k is calculated; a state estimation error delta e(k) and a noise error V(k) are calculated; the BP neural network based on width learning is constructed, the delta e(k) and the V(k) are inputted into the BP neural network, and a variance compensation value deltaQk of process noise distribution at the time k and a variance compensation value delta Rk of observed noise distribution are outputted by the BP neural network; the delta Qk and the delta Rk are utilized to compensate Qk-1 and Rk-1 at the time k-1, and Qk and Rk at the time k are generated; a value of x(k+1) of the model for estimating the remaining power of the power battery is calculated through the volume Kalman algorithm, and the remaining power SOC (k+1) at the final (k+1) time is obtained. The method is advantaged in that the remaining power of the power battery can be rapidly and accurately estimated.
Owner:HANGZHOU ZHONGHENG ELECTRIC CO LTD

Otolith measurement and fish population discriminating method based on polar coordinate

The invention relates to an otolith measurement and fish population discriminating method based on a polar coordinate, relates to the fish farming and management field and particularly relates to the method for distinguishing fish populations through measuring fish otolith. According to the method, a center point of an otolith picture is taken as a measurement reference point; end pointd, convex concave points or inflection points having prominent features in the otolith form are searched and taken as characteristic points; through establishing polar coordinates, the characteristic points and a core point are connected, radial length between the core point and each characteristic point is measured to acquire a set of characteristic length data; included angles of two adjacent connection lines are sequentially measured by utilizing the measurement software to acquire a set of characteristic angle data; on the basis of the characteristic length data and the characteristic angle data, a discrimination analysis method or a gray cluster analysis method is utilized, a population type of a detected sample is discriminated. Compared with a discriminating method through utilizing only the length, the otolith measurement and fish population discriminating method is advantaged in that the discrimination result is more accurate and reliable, and the fish population discrimination correct rate can be remarkably improved.
Owner:SHANGHAI OCEAN UNIV

Method for rapidly identifying broccoli variety Tailv1 hybrid

The invention provides a method for rapidly, accurately and efficiently identifying the molecules of a broccoli variety Tailv1 hybrid. The method comprises the following steps: extracting genomic DNA from a sample to be detected, carrying out PCR amplification on the genomic DNA by a PCR primer of 5'-TCTCTCTCTCTCTCTCN-3', carrying out gel electrophoresis imaging analysis on the obtained PCR amplification products, and judging the sample to be detected as a Tailv1 hybrid single plant if about 800bp and about 600bp brands are simultaneously obtained through amplification; and calculating according to a formula of genetic purity of hybrid = number of hybrid plants/number of sample plants to be detected *100% to obtain the genetic purity of the sample to be detected. The accuracy of the identification of the purity of the broccoli variety Tailv1 hybrid by an ISSR primer TNISSR15 used in the invention is high, has a 99% consistency with a field identification result, and is reliable; the identification can be completed within 10d, the tedious program of field planting identification is avoided, the labor force and the land resource are saved, and the identification cost is reduced; and the method can determine the genetic purity of seeds in the same year of seed production, is convenient for seed graduation and purchase, and improves the identification efficiency.
Owner:台州市农业科学研究院

Method for quickly identifying low-frequency oscillation modal characteristics of power system based on LSTM

The invention discloses a method for quickly identifying low-frequency oscillation modal characteristics of a power system based on an LSTM neural network, and provides a method for quickly identifying the low-frequency oscillation modal characteristics of the power system. The method is accurate in analysis and reasonable in design, and comprises the following steps of: generating LFO sample dataaccording to an EDSs mathematical model; respectively adopting a Hankel matrix and a sliding window FFT algorithm to carry out preprocessing operation on the LFO sample data; determining a classification criterion according to identification requirements, and dividing and marking LFO sample data according to the classification criterion for subsequent network training and testing; building an LSTM neural network model, inputting a training sample for network training, and determining whether network training is completed or not through testing the classification accuracy of the sample; inputting an LFO signal to be detected is input into the LSTM neural network through sliding window sampling, and completing identification of LFO frequency and attenuation factor modal characteristics through output analysis. The method has the advantages of rapid identification of the low-frequency oscillation modal characteristics of the power system, high reliability of the identification result andthe like.
Owner:STATE GRID SICHUAN ECONOMIC RES INST
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