49results about How to "Reduce analysis costs" patented technology

The invention discloses a supplier quality evaluation method, and relates to the technical field of data quality analysis, and the method comprises the steps: obtaining a data initial quality evaluation label of each supplier; counting an uploaded information quality processing comprehensive data quality evaluation value of each type of suppliers; determining an initial quality detection constraint period of each type of suppliers and performing quality tracking detection; obtaining quality tracking detection data, and analyzing and processing to obtain a quality tracking monitoring result; according to the method, the data quality of the data uploaded by the suppliers is analyzed, the availability of the quality evaluation data is ensured, the suppliers whose initial quality evaluation is unqualified are screened, and the quality of the suppliers is evaluated to be qualified. Quality evaluation resources are concentrated on suppliers whose initial quality evaluation is qualified, customized quality tracking detection is carried out on each type of suppliers, the quality tracking detection efficiency and result are improved, and the quality detection constraint period is dynamically adjusted in time.

The invention belongs to the technical field of global space planting, and discloses a global space planting environment regulation and control method and system based on artificial intelligence. The method comprises the following steps: constructing a global space planting environment analysis model and a global space planting environment regulation and control model based on a cloud computing center; acquiring real-time planting environment monitoring data based on a planting environment monitoring device; processing the real-time planting environment monitoring data based on an edge computing gateway; based on the cloud computing center, carrying out global space planting environment analysis; carrying out global space planting environment regulation and control, and sending a real-time regulation and control scheme to a corresponding edge computing gateway; and based on the edge computing gateway, according to the real-time regulation and control scheme, generating a real-time regulation and control instruction, and sending the real-time regulation and control instruction to the planting environment monitoring device and the planting environment regulation and control device. According to the method, the problems of high analysis cost, low efficiency, poor accuracy, unstable regulation and control effect and resource waste in the prior art are solved.

The invention belongs to the technical field of analysis and detection, and relates to an analysis method and an analysis system of ethylene glycol by-product mixed alcohol, the analysis method comprises the following steps: S1, preparing a corresponding reference solution and a standard mixed alcohol solution according to a to-be-analyzed component in the ethylene glycol by-product mixed alcohol; s2, for the reference substance solution and the standard mixed alcohol solution, constructing a standard curve model corresponding to each component through gas chromatography; s3, collecting by-products in ethylene glycol production in real time, and filtering; according to the method, peak areas corresponding to components to be analyzed in the mixed alcohol sample are obtained and then substituted into respective standard curve models respectively, and the content of the components to be analyzed in the mixed alcohol sample is obtained. According to the method, the standard curve model is constructed, and the mixed alcohol is pretreated, so that the content of multiple components in the mixed alcohol is analyzed and detected, the analysis time is shortened, the analysis cost is reduced, and the analysis accuracy and sensitivity are improved.

The invention belongs to the technical field of metal content analysis, and particularly relates to a method for simultaneously determining the content of trace cadmium and mercury in nuclear stainless steel. The method comprises the following specific steps: S1, sample treatment; s2, optimizing working parameters of the inductively coupled plasma mass spectrometry analyzer; s3, selecting a Cd measurement isotope; s4, drawing a calibration curve; the method comprises the following steps: (1) preparing a calibration curve by matching main matrixes of iron, chromium and nickel; (2) respectively adding 50 mL of water into 7 100 mL volumetric flasks, respectively adding an iron matrix solution, a chromium matrix solution, a nickel matrix solution, dilute aqua regia, a cadmium standard solution and a mercury standard solution, and diluting with ultrapure water to a scale to obtain a calibration series solution; (3) subtracting the intensity ratio in the zero standard solution from the intensity ratio of the measured element in each standard solution to obtain a net intensity ratio, and drawing a calibration curve by taking the concentration of the calibration solution as an abscissa and the net intensity ratio as an ordinate; and S5, sample determination. According to the method, the content of trace cadmium and mercury in the nuclear power stainless steel can be accurately measured at the same time.

The invention discloses a test structure and a test method of a one-time programmable device. The test structure comprises a semiconductor substrate; a plurality of memory cells, each memory cell comprising an active region formed in the semiconductor substrate, and a floating gate and a control gate formed on the semiconductor substrate, the active region extending along a first direction, and the floating gate and the control gate extending along a second direction; the floating gate and the control gate respectively stretch across the plurality of active regions so as to be connected with the plurality of storage units; the first contact hole is electrically connected with the floating gate and is used for applying external voltage to the floating gate; the second contact hole is electrically connected with the control gate and is used for applying external voltage to the control gate; and the third contact hole is electrically connected with the active region and is used for applying external voltage to the active region. The floating gate crosses the plurality of active regions and is led out through the first contact hole, so that the external voltage is applied to the floating gate through the first contact hole, the electrical performance of the OTP device can be tested, and the failure analysis of electric leakage can be realized.

The invention provides a method and system for processing coal mine disaster data based on a PCA (principal component analysis) method. The method comprises the following steps: preprocessing and standardizing working data to obtain effective data, performing dimension reduction analysis on the effective data by using PCA to convert the effective data into a plurality of feature vectors, and constructing a dimension reduction space of the effective data, and respectively calculating a reconstruction error and an interpretation variance ratio corresponding to each feature vector in the dimension reduction space, constructing dimension information corresponding to each feature vector to adjust the dimension reduction space, inputting effective data into the adjusted dimension reduction space for processing, generating dimension reduction data of the coal mine, and storing the dimension reduction data of the coal mine. And abnormal dimension reduction data segments which do not conform to the specified interpretation variance ratio are screened to obtain corresponding disaster data of the coal mine under different detection dimensions, so that the calculation steps can be effectively reduced, the analysis cost is reduced, whole-course visual analysis is realized, managers can conveniently understand the data, and the data processing efficiency is improved. And a powerful reference is provided for the safety of coal miners and the environment.

The invention is applicable to the technical field of soil detection, and particularly provides an analysis method for gradually and continuously extracting a silicon form in soil, which adopts a step-by-step continuous extraction method and sequentially adopts an acetic acid-sodium acetate solution, hydrogen peroxide, an acetic acid-sodium acetate solution, a hydroxylamine hydrochloride solution and a sodium hydroxide solution as extracting agents. The method comprises the following steps: fully oscillating with a soil sample to extract different forms of silicon, and determining the silicon content by using a silicon molybdenum blue colorimetric method, so that the content of the silicon in each form, including effective silicon, organic combined silicon, iron and manganese oxide combined silicon and amorphous silicon, in the soil can be rapidly detected. And the content of amorphous silicon in the soil can be obtained. The soil silicon form analysis method is simplified, the detection efficiency is improved, and a theoretical basis is provided for knowing the soil silicon supply capacity and evaluating the silicon nutrition effect in the soil.

The present invention provides a method and system for predicting dynamic response and fatigue of a marine riser-underwater wellhead system driven by digital twins, which belongs to the field of marine oil and gas engineering and includes the following steps: constructing a digital twin of the riser-underwater wellhead system, interacting with digital twins of the riser-underwater wellhead system, constructing a fatigue real-time prediction model, and managing twin response data and fatigue information based on digital twins. The digital twin-driven riser-underwater wellhead system dynamic response and fatigue prediction system includes the following parts: a riser-underwater wellhead system data acquisition and preprocessing subsystem, a riser-underwater wellhead system data transmission subsystem, a riser-underwater wellhead system data storage subsystem, a riser-underwater wellhead system dynamic response and fatigue prediction subsystem based on digital twins, and a riser-underwater wellhead system display and early warning subsystem.

The invention discloses a method for detecting nitrosamine impurities in a levosalbutamol hydrochloride aerosol inhalation solution, which comprises the following steps: diluting the levosalbutamol hydrochloride aerosol inhalation solution to obtain a test solution; detecting the test solution by adopting an ultra-high performance liquid chromatography-mass spectrometry method; chromatographic conditions are as follows: a filler of a chromatographic column is octadecylsilane chemically bonded silica; the mobile phase A is a formic acid aqueous solution, the concentration of formic acid is 0.09-0.11%, and% is volume percent; the mobile phase B is acetonitrile; the nitrosamine impurity is N-nitroso-salbutamol. The detection method is high in selectivity and good in specificity, the limit of quantitation is as low as 1.2% of the limit, the limit of detection is as low as 0.4% of the limit, detection can be completed only in 10 minutes, the method is high in sensitivity, the content of trace nitrosamine impurity N-nitroso-salbutamol in a sample can be rapidly and accurately detected, and the analysis cost is effectively reduced.

The invention relates to the technical field of artificial intelligence, in particular to a user satisfaction analysis method based on an artificial intelligence technology, comprising the following steps: S1, loading data: loading the data including original outbound voice data and corresponding questionnaire data; s2, data preprocessing: converting the outbound voice data into a text, segmenting the converted text into a plurality of question and answer contexts based on the questionnaire data, performing error correction on the converted text based on the questionnaire data, and segmenting the outbound voice data into a plurality of corresponding voice segments; s3, performing satisfaction analysis: performing intelligent analysis on the segmented question and answer context and voice segments to obtain a satisfaction analysis result; and S4, outputting a satisfaction analysis result. The technical scheme of the invention has the advantages of no need of a large amount of manual analysis, high processing efficiency and low analysis cost, and is optimized based on the combination of speech recognition, natural language processing, large language model and multi-modal fusion model technologies and the combination of subdivided technical scenes and business characteristics.

The invention provides a spark source atomic emission spectrometry determination method for acid-soluble aluminum and inclusion aluminum, and belongs to the technical field of assessment of inclusions in steel. The spark source atomic emission spectrometry determination method for acid-soluble aluminum and inclusion aluminum comprises the following steps: establishing a calibration curve of all aluminum, then determining integral intensities of inclusion aluminum, all aluminum and acid-soluble aluminum in a sample under corresponding conditions, and calculating the intensity of the inclusion aluminum by using a difference value between the integral intensities; selecting two standard samples with adjacent strength according to the strength of aluminum inclusion in the sample, and calculating a calibration coefficient K according to the aluminum content Al% lt; the excitation rate F is calculated according to the peak integral intensity of the inclusion aluminum and the integral intensity of the total aluminum in the 0.0007% standard sample, the inclusion aluminum content Als% is equal to K * F * (IAlt-IAls), and the content of the acid-soluble aluminum is equal to the difference between the content of the total aluminum and the content of the inclusion aluminum. According to the method, the accuracy of a measurement result is effectively improved while high analysis speed, low cost and simplicity and convenience in operation are ensured.

This invention provides an apparatus, system, and method for analyzing altered carbonate carbon isotopes. The apparatus includes: an enrichment component comprising at least one enrichment tube having an enrichment section; and a freezing component comprising a container filled with a refrigerant. The enrichment section is completely immersed in the refrigerant to freeze the target gas generated by sample decomposition within the enrichment section to a target concentration. Based on the technical solution of this invention, analysis of low-content altered carbonate carbon isotopes can be achieved; it can also simultaneously acquire multiple sets of samples required for altered carbonate carbon isotope analysis, saving time for detecting large quantities of altered carbonate carbon isotopes. Furthermore, the operation is simple, reducing analytical costs and providing a reliable technical means for the application of geochemical exploration technology.

The invention discloses a lightning conductor damage analysis method, device and equipment and a storage medium, and the method comprises the steps: obtaining the tower coordinate and fault time of a fault tower in a to-be-analyzed line, and the lightning activity information in a preset range of the tower coordinate, obtaining the target lightning information from the lightning activity information according to the fault time, constructing a finite element model based on the line information of the to-be-analyzed line and the target lightning stroke information, simulating a wire damage process when the fault tower is struck by lightning according to the finite element model, and performing wire damage analysis on the fault tower based on a simulation result; according to the method, the lightning stroke activity is positioned, the finite element model is constructed based on the target lightning stroke information and the line information, and the wire damage condition in the lightning stroke process is effectively simulated based on the finite element model, so that the accurate analysis of the line lightning stroke damage is realized on the basis of not carrying out field test and measurement; the wire damage analysis efficiency is greatly improved, and the analysis cost is reduced.

This invention discloses a rapid prediction method for rail rolling contact fatigue damage in the field of rail damage prediction technology. The method includes establishing a three-dimensional elastoplastic wheel-rail cyclic rolling contact finite element model, improving the cyclic plastic constitutive model, and simulating the stress-strain evolution of the rail. A rail stress-strain sample library is generated through parametric sampling and batch calculation. A Physically Constrained Generative Adversarial Network (PC-GAN) is constructed, embedding physical constraints such as contact force conservation and energy consistency into the loss function to achieve rapid and high-precision mapping from operating parameters to the stress-strain field. Based on the PC-AN prediction results, cumulative damage and fatigue life are calculated using an incremental multiaxial fatigue damage model, and a damage distribution map of the entire rail line is drawn, identifying high-risk sections. This invention deeply integrates physical modeling with intelligent algorithms, achieving an order-of-magnitude improvement in rail fatigue damage assessment efficiency while ensuring prediction accuracy, providing efficient and reliable technical support for rail life assessment and maintenance decisions across the entire rail line.

The present invention belongs to the field of bioinformatics, and specifically relates to a mass spectrometry acquisition method, device, equipment and computer program product, the method comprising: performing biological sample processing on a provided biological sample; performing liquid chromatography separation on the treated biological sample; performing mass spectrometry analysis on the biological sample after liquid chromatography separation; after the mass spectrometry analysis is completed, using the AIE-MS automatic exclusion method to identify and exclude interference signals in the mass spectrometry data, and iteratively acquiring secondary mass spectrometry data. The depth of metabolite identification in the prior art is still at a relatively low level compared to other omics. The mass spectrometry acquisition method, device, equipment and computer program product provided by the present invention can significantly increase the number of compound identifications, aiming to solve the core problem of low metabolite identification depth in existing LC-MS non-targeted metabolomics analysis, and has great potential in improving LC-MS metabolomics identification flux and improving data quality.

The invention belongs to the technical field of drug detection, and relates to a UPLC analysis method for the content of a suspension for fluticasone propionate inhalation. In the UPLC detection, isocratic elution is carried out in a chromatographic column by adopting a mobile phase; the volume ratio of the mobile phase A to the mobile phase B is 35: 65-45: 55, the mobile phase B is acetonitrile, the mobile phase A is an aqueous solution of methanol, and the mobile phase A contains 0.045-0.055% by mass of phosphoric acid; octadecylsilane chemically bonded silica is used as a filling agent of the chromatographic column. Through the method, the content of the suspension for inhalation of fluticasone propionate can be rapidly and accurately detected. The method disclosed by the invention is simple to operate, good in specificity, short in detection time and high in accuracy, avoids interference of auxiliary materials in the suspension for inhalation on main components, increases the solubility of the main components, shortens the analysis time, reduces the solvent dosage and reduces the analysis cost.

The invention provides a method for analyzing reliability of a sliding bearing of a wind power gear box, which comprises the following steps of: selecting parameters of a complete machine, determining environmental parameters according to a mounting position, establishing a dynamical model of the complete machine of a wind driven generator, importing and solving the environmental parameters, and obtaining environmental loads such as wind wave flow and the like; the method comprises the following steps of: constructing a dynamical model of the sliding bearing wind power gear box, importing the dynamical model into the constructed dynamical model of the sliding bearing wind power gear box for solving, extracting required data, preprocessing the data, eliminating abnormal data, retaining reliable data, improving the reliability of the data, and further processing the data, so that the method is suitable for analyzing the reliability of the sliding bearing of the wind power gear box. And finally, based on a fuzzy reliability theory, calculating the reliability of the sliding bearing of the wind power gear box, and judging whether the sliding bearing has wear failure or not. The method has high comprehensive performance and generalization ability, and is suitable for similar application scenes.

The method for simultaneously determining multiple nitrophenol compounds in different food matrices according to the present invention involves preparing a series of mixed solutions with different concentrations of 2,4-dinitrophenol, 2,5-dinitrophenol, 2,6-dinitrophenol, 3,4-dinitrophenol, and 3,5-dinitrophenol using acetonitrile-acetic acid solution as standard samples; the food matrices to be tested are then subjected to extraction and purification treatment. The sample was obtained through a process; then, high-performance liquid chromatography-tandem mass spectrometry was used to detect the sample and standard to obtain the concentrations of 2,4-dinitrophenol, 2,5-dinitrophenol, 2,6-dinitrophenol, 3,4-dinitrophenol, and 3,5-dinitrophenol in the sample. The content of each nitrophenol compound in the food matrix was then calculated based on the concentrations of 2,4-dinitrophenol, 2,5-dinitrophenol, 2,6-dinitrophenol, 3,4-dinitrophenol, and 3,5-dinitrophenol in the sample.

The invention relates to a method and a system for identifying Shigella and / or diarrheagenic Escherichia coli. The method comprises the following steps: collecting mass spectrum data of known strains through paper spray ionization; generating a training sample based on mass spectrum data of a known strain; constructing a strain prediction model, and training the strain prediction model by using the training sample; collecting mass spectrum data of the strain to be detected through paper spray ionization; and predicting a to-be-detected strain by using the trained strain prediction model based on the mass spectrum data of the to-be-detected strain, and determining the type of the to-be-detected strain. The method and the system can directly identify the strain sample, do not need sample pretreatment, are low in analysis cost and simple and convenient to operate, can identify the strain category in high throughput and real time, and are high in identification result accuracy, high in reliability and high in identification speed.

The present invention relates to a method for detecting azacitidine impurities, and belongs to the technical field of quality control of azacitidine. The present invention provides a method for detecting azacitidine impurities, using liquid chromatography, wherein the stationary phase is uncapped octadecylsilane bonded silica gel, the mobile phase is water-acetonitrile=(85-92):(8-15), v / v, and the ion pair reagent sodium octane sulfonate is added to the water phase. Compared with the prior art, the present detection method has the advantages of being able to simultaneously detect three azacitidine impurities, thereby saving analysis costs, high sensitivity, simple operation, separation and accuracy meeting requirements, good impurity peak symmetry, and greatly reducing the concentration of the test sample, thereby extending the tolerance and service life of the chromatographic column.

The invention provides a direct shear test soil parameter calibration method fusing numerical simulation and machine learning, and relates to the field of geotechnical engineering. According to the direct shear test soil parameter calibration method fusing numerical simulation and machine learning, high-fidelity finite element numerical simulation, Kernel PCA dimension reduction, a PINN agent model and Bayesian parameter inversion are subjected to systematic deep fusion for the first time. The progressive damage process from the edge to the interior and non-uniform stress-strain distribution of a soil body in a direct shear test are precisely restored through high-fidelity finite element numerical simulation, low-dimensional essential characteristics of a high-dimensional response curve are extracted through a dimension reduction method, and a constitutive model and a strength criterion are embedded into an agent model to guarantee physical rationality. And finally, parameter estimation is realized through a Bayesian parameter inversion framework. The combination solves the interference of non-uniform stress and strain of the soil body in the direct shear test on parameter calibration, so that the calibration result better fits the actual mechanical property of the soil body.

The invention provides a method for detecting a genotoxic impurity o-tolualdehyde in indobufen, which comprises the following steps of: firstly dissolving raw material medicines and then carrying out low-temperature treatment to obtain a test solution with detectable concentration. According to the method, a common ultraviolet detector is used for detection, the method is simple, accurate, efficient and easy to operate, interference of various other organic impurities and genotoxic impurities in the indobufen is avoided, and the problems of high cost and operation complexity caused by pre-column derivatization ultra-high performance liquid chromatography in the prior art are solved.

The invention belongs to the technical field of data processing, and relates to a data query method and device, computer equipment and a storage medium, and the method comprises the steps: when an index query request corresponding to a specified index triggered by a user through a specified tool is received, establishing a connection between the specified tool and an index service based on an index unified connector, specified engine library information extracted from the index query request and user information are sent to the index service; performing identity verification on the user by using the connection string and the user password based on the index service; if the user passes the identity verification, performing permission verification on the user; if the user passes the permission verification, converting the query request into a specified query statement; querying a specified engine library based on the specified query statement to obtain specified index data; and returning the specified index data to the user. In addition, the specified metrics data may be stored in the blockchain. According to the method, the index unified connector is used in the data query process, so that the data analysis cost can be effectively reduced.

The invention discloses an abnormal event detection method, electronic equipment and a computer readable storage medium, and the method comprises the steps: receiving a detection triggering instruction, and transmitting the detection triggering instruction when a collection device detects that there is a picture change in a collected current video stream; acquiring a current video stream from target acquisition equipment according to the detection trigger instruction; and performing abnormal event detection processing on the current video stream to obtain an event detection result. Therefore, the analysis cost can be reduced, and the real-time performance of abnormal event detection is improved.

This invention relates to the field of material analysis and detection technology, specifically disclosing a method for determining the lithium isotope ratio of spodumene using laser ablation-multiple-receiver inductively coupled plasma mass spectrometry (ICP-MS). The method includes: adding water vapor to the laser carrier gas to achieve wet plasma conditions; performing laser ablation with a laser spot size of 24-45 μm and a repetition frequency of 2-4 Hz; using natural spodumene megacrystalline crystals or synthetic spodumene glass with uniform lithium isotope composition as calibration reference materials, alternating with the sample to be tested for ablation analysis, and using a cross-injection method to correct instrument mass deviations. This invention systematically characterized four candidate reference materials, whose δ... 7 Recommended Li values ​​were 12.85±0.31‰, 12.29±0.31‰, 12.37±0.35‰, and 4.74±0.30‰, respectively. This method optimizes the water vapor addition rate and laser ablation parameters, which can reduce carrier gas consumption, decrease mass fractionation, and δ... 7 The accuracy of Li determination has been significantly improved, making it suitable for in-situ micro-area analysis in the mineralization study of pegmatite-type lithium deposits.

The invention discloses a method for measuring residual quantity of residual impurities DMAP and EDU in synthesis of antitumor drugs, and belongs to the technical field of drug analysis. According to the method, high performance liquid chromatography is adopted for detection; dimethyl sulfoxide is used as a solvent to dissolve the sample for detection; detection conditions of the high performance liquid chromatography are as follows: a chromatographic column is an octadecyl bonded silica gel column; the mobile phase A is a sodium perchlorate buffer solution or a potassium hexafluorophosphate buffer solution; the mobile phase B is acetonitrile; the detector is an ultraviolet detector; the detection wavelength for detecting the DMAP is 278 to 282 nm, and the detection wavelength for detecting the EDU is 198 to 202 nm; a gradient elution mode is adopted. The method is used for detecting DMAP and EDU residues in the raw material medicine, is high in sensitivity and accuracy, does not need a special column, can meet the control limit of the ICH guidance principle on genotoxic impurities and general impurities of the raw material medicine, provides reliable guarantee for impurity control of the raw material medicine, and further guarantees the safety of clinical medication.

The invention discloses a reagent for detecting HLA alleles and application thereof, and belongs to the technical field of gene detection. The reagent can be used for independently detecting the HLA-B * 15: 02, the HLA-A * 31: 01, the HLA-B * 58: 01 and the HLA-B * 57: 01, or the HLA-B * 31: 01, the HLA-B * 58: 01 and the HLA-B * 57: 01 and the HLA-B * 51: 01 and the HLA-B * 51: 01 and the HLA-B * 51: 01 and the HLA-B * 51: 01 and the HLA-A * 31: 01 and the HLA In addition, when the reagent is used for simultaneously detecting HLA-B * 15: 02, HLA-A * 31: 01, HLA-B * 58: 01 and HLA-B * 57: 01, a detection scheme that one color corresponds to multiple targets is implemented by utilizing a two-dimensional PCR (Polymerase Chain Reaction) technology. According to the scheme, in a single closed reaction tube, four HLA alleles, namely HLA-B * 15: 02, HLA-A * 31: 01, HLA-B * 58: 01 and HLA-B * 57: 01, can be rapidly, accurately and efficiently identified at the same time, so that the urgent requirements of a high-throughput gene detection technology on the aspects of simplicity and convenience in operation and low cost at present are met, and adverse reactions caused by clinical drugs can be effectively avoided, thereby guiding clinical safe medication.

The invention discloses a method, device, equipment and storage medium for calculating the life of an engine suspension bracket. The method collects acceleration signals of an engine suspension bracket through an acceleration sensor, processes the acceleration signals and obtains displacement signals; determines the dynamic force on the engine suspension bracket according to the displacement signals, and obtains a force load signal in the time domain according to the dynamic force; establishes a flexible body model corresponding to the engine suspension bracket in a simulation model, inputs the force load signal into the flexible body model, obtains modal stress and modal coordinates, and determines the service life of the engine suspension bracket according to the modal stress and modal coordinates; the engine suspension bracket life calculation cycle can be reduced, the test cost can be reduced, and the actual stress condition of the frame can be better reflected through the combination of virtual and actual, the accuracy of the data is guaranteed, and the speed and efficiency of the engine suspension bracket life calculation are improved.

The invention relates to a method for separating and detecting ethyl valerate and impurities thereof, and belongs to the technical field of quality control of ethyl valerate. The invention provides a method for separating and detecting ethyl valerate and impurities thereof, which adopts a gas chromatographic method, and adopts a capillary column with nitro terephthalic acid esterified polyethylene glycol as a stationary liquid as a chromatographic column; temperature programming is adopted, and the temperature raising program is as follows: the initial temperature is 30-50 DEG C and is maintained for 5-10 minutes, and the temperature is raised to 180-220 DEG C at the speed of 10-30 DEG C per minute and is maintained for 2-10 minutes. Compared with the prior art, the method has the advantages that effective separation and detection of the ethyl valerate and impurities of the ethyl valerate such as valeric acid, ethanol, ethyl n-butyrate, ethyl isovalerate, ethyl n-hexanoate, ethyl n-propionate and ethyl acetate can be realized at the same time, the quality control efficiency is improved, the analysis cost is saved, the separation degree and the sensitivity can meet the requirements of accurate detection, and the method is suitable for large-scale popularization and application. And the possibility is provided for more comprehensive quality control of the ethyl valerate.

The invention relates to the technical field of automobile engine detection, in particular to an engine Hall sensor test analysis device and a test analysis method, which simulate the working principle of an engine Hall sensor, manufacture a long shaft for simulating a crankshaft or a camshaft, and install a Hall sensor detection target wheel on the long shaft. And the long shaft is driven by a small servo motor, so that a Hall sensor mounted opposite to the detection target wheel detects different position signals of the target wheel. According to the method, the detected position signals are output to the signal acquisition board, then the signal acquisition board is fed back to the industrial personal computer, signal waveforms are output on a test system page after data processing of the industrial personal computer, and whether the Hall sensor is abnormal in function or not is judged by comparing the two waveforms, so that whether the Hall sensor is abnormal in function or not can be efficiently and rapidly detected. The Hall sensor does not need to be installed on the engine for complete machine testing, so that the analysis cost is greatly reduced, and the resource waste problem is greatly solved.