27results about How to "Shorten the analysis cycle" patented technology

The embodiment of the invention relates to a processing method and device for predicting the physical properties of electrolyte formula components. The method comprises the following steps: constructing a molecular physical property prediction model; performing model training on the molecular physical property prediction model based on a preset first data set; after model training is finished, any electrolyte formula input by a user is received and recorded as a corresponding first formula; and performing electrolyte formula component physical property prediction processing on the first formula by using the molecular physical property prediction model to obtain a corresponding first physical property analysis report which is fed back to a user. The electrolyte formula is subjected to component physical property analysis, so that the analysis complexity can be reduced, the analysis period can be shortened, and the analysis efficiency can be improved.

The invention discloses a wafer defect atlas intelligent identification and classification method and system, and relates to the technical field of semiconductor integrated circuit manufacturing and detection, and the method comprises the steps: obtaining a detection point set, an original image and standard reference attribute data; constructing a space weight matrix based on reference data; calculating a generalized connection cost based on a path weighted cumulative value, constructing an initial graph model, and performing probability sparsification; determining verification points based on the weight matrix and extracting local gradient features of the original image; correcting the connection probability by using a Bayesian inference model, and updating a graph topological structure; and finally, outputting a classification result according to the connected sub-graph features. According to the method, layout physical attributes and image microscopic features are combined, and accurate reconstruction and classification of defect forms under a complex background are realized.

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 belongs to the field of molecular biology and animal molecular breeding, and discloses a method for identifying genetic composition of a hybrid generation of megalobrama amblycephala and culter alburnus, a specific primer pool and application of the specific primer pool in identifying the genetic composition of the hybrid generation of megalobrama amblycephala and culter alburnus. According to the invention, qualitative and quantitative detection is carried out on the basic group condition of SNP sites on each pair of homologous chromosomes of megalobrama amblycephala and culter alburnus by innovatively utilizing a method of combining multiple PCR and high-throughput sequencing, so that an efficient identification technology is provided for genetic composition of filial generations obtained from other related species such as megalobrama amblycephala and culter alburnus. Compared with a whole genome sequencing gene, the method has the advantages that only a specific region on each chromosome is amplified and sequenced, so that the sequencing cost is effectively reduced, the analysis period is also shortened, and the method is an efficient technology for quickly identifying the genetic composition of a filial generation obtained by hybridizing sibling species such as megalobrama amblycephala and culter alburnus.

The invention discloses a method for determining ethylene content in wheat by gas chromatography, and relates to the technical field of biological detection.The method is characterized by comprising the steps that a wheat grain sample is prepared and placed in a glass bottle with a plug under certain conditions, and gas to be detected is generated; extracting a to-be-detected gas sample from the glass bottle with the plug, and sequentially injecting the to-be-detected gas sample into the gas chromatograph to obtain the ethylene peak area of the to-be-detected gas; sequentially injecting the standard gas into a gas chromatograph, and drawing a calibration curve to obtain the ethylene peak area of the standard gas; and calculating the ratio of the ethylene peak area of the to-be-detected gas to the ethylene peak area of the standard gas to obtain the ethylene content in the to-be-detected gas sample. The determination method provided by the invention can realize detection with lower quantitation limit and wider linear range, and has the characteristics of high sensitivity, high flux, rapidness, convenience, accuracy and reliability, the detection time of one sample is only 1-2min, and the method is suitable for detecting the plant hormone ethylene in wheat grains and seedlings.

The invention provides a method for determining the content of phenolic organic matters in tar residue and phenolic wastewater, which comprises the following steps: optimizing an MRM (Magnetic Resonance Modeling) method based on a GC-QQQ optimizer to obtain an optimized MRM method; detecting mixed standard solutions of phenol, o-methylphenol and p-methylphenol with different concentration gradients by using an optimized MRM method to obtain a linear regression equation corresponding to the characteristic ion flow peak area and the concentration of each compound, and taking the linear regression equation as a quantitative standard curve equation of each compound; the method comprises the following steps: extracting organic matters in a liquid phase and a solid content of coal tar and phenolic wastewater raw materials into an organic phase, and circularly washing the raw materials for multiple times by using an extraction solvent to obtain a to-be-detected organic phase; detecting a to-be-detected organic phase by using an optimized MRM method, and comparing and matching the quantitative ion pair and the qualitative ion pair with compounds in the standard solution to obtain a characteristic peak of the to-be-detected organic phase; and obtaining the content of each compound in the sample to be detected according to the peak area of the characteristic peak of each compound and the quantitative standard curve equation.

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.

The invention provides a method and equipment for calculating the irradiation heat generation rate of a fuel rod air cavity spring and a storage medium, and relates to the technical field of nuclear reactors. The method comprises the steps that S1, the energy deposition rate of gamma rays in the air cavity spring at the first temperature is obtained; s2, calculating the irradiation heating rate of the air cavity spring based on the energy deposition rate, the average heat flux density of the fuel rod and the heat release share of the reactor core; s3, calculating a second temperature of the air cavity spring based on the irradiation heat generation rate; s4, judging whether the second temperature meets a preset condition or not; s5, if yes, taking the irradiation heat generation rate as a calculation result; if not, executing the step S6; and S6, taking the second temperature as a new first temperature, and repeating the steps S1 to S5. According to the method, the radiation heating rate of the fuel rod air cavity spring is calculated, and the fuel rod performance analysis and design period is shortened.

The invention relates to a method for rapidly determining the content of molybdenum in ferromolybdenum, and belongs to the field of measurement of metal molybdenum. The method comprises the following steps: 1) dissolving a sample: weighing a ferromolybdenum sample in a beaker, adding a dissolving acid, covering a watch glass, and heating to completely dissolve the ferromolybdenum sample; 2) interference ion masking: adding water and a masking agent into the solution; 3) pH adjustment: adjusting the solution to weak acidity, and adding a buffer solution to maintain the pH value of the solution; 4) precipitating and aging: heating the solution to near boiling, adding a precipitating agent to precipitate the molybdenum element, and aging; 5) filtering and firing: after the solution is cooled, filtering the solution with quantitative filter paper, washing the precipitate, adding ammonium oxalate as a stabilizer, carbonizing with a constant-weight platinum crucible, and firing to constant weight; the method is simple in step and convenient to operate, and compared with an existing gravimetric method (the analysis period is shortened by at least 4 hours, the accuracy is higher, and the precision is better.

The application discloses a kind of extraction detection methods of multiple organic pollutants in soil, which comprises the following steps: weighing soil sample is filled in extraction pool, and carries out fast solvent extraction process, and extraction liquid is collected in collection bottle;Extraction liquid is concentrated on rotary evaporator under reduced pressure, and is washed and purified in chromatographic column, and after all the eluate is collected in flat-bottomed flask, it is concentrated under reduced pressure on rotary evaporator;Part of the concentrated liquid is centrifuged, then nitrogen is blown, and after blowing dry, constant volume is added to methanol phase, and internal standard indicator is added, and UPLC-MS is used for detection;Part of the concentrated liquid is nitrogen blown, and after blowing dry, constant volume is added to ethyl acetate phase, and internal standard indicator is added, and GC-MS / MS is used for detection;The standard curve of target compound is quantitatively analyzed by internal standard method.The application has good matrix applicability, method universality and analysis flux, and can provide reliable technical support for comprehensive and accurate evaluation of soil complex pollution and ecological environment risk.

The invention relates to the technical field of bioinformatics and distributed computing, and discloses a millet gene screening method and system based on data mining and a storage medium, and the method comprises the steps: obtaining millet gene data, carrying out initial clustering processing, and dividing the millet gene data into a plurality of data segments to obtain a segment set; evaluating a resource demand index of each data segment in the segment set; obtaining current load state data of the computing nodes, and distributing the data segments to the corresponding computing nodes to generate task distribution mapping; starting a gene analysis task by adopting a parallel execution mechanism, monitoring an execution progress and generating a real-time synchronous adjustment signal; carrying out migration adjustment on the task according to the adjustment signal, optimizing a task execution sequence, collecting a gene analysis result of each calculation node, and fusing key site information to obtain an integrated analysis data set; performing verification processing on the analysis data set, and outputting a final millet gene screening result; the resource utilization rate and the analysis efficiency during gene data processing are improved.

The chromatographic instrument column box comprises a column box body, an electromagnetic induction coil, a heating pipe, a chromatographic column, a detector and an electromagnetic controller, the column box body is provided with an installation cavity, an air outlet communicated with the installation cavity is formed in the column box body, the electromagnetic induction coil is used for heating the heating pipe, the chromatographic column is arranged on the heating pipe, and the detector is arranged on the chromatographic column. The heating pipe is used for heating the chromatographic column, the chromatographic column is connected with the detector, the detector is used for detecting a to-be-analyzed sample separated by the chromatographic column, the electromagnetic controller is used for controlling opening and closing of the electromagnetic induction coil, the column box is provided with a vaporizing chamber, the vaporizing chamber is communicated with the chromatographic column, and the chromatographic column is connected with the detector. The sample to be analyzed enters from the vaporizing chamber, and enters the detector after flowing through the chromatographic column after being vaporized. The method has the advantages of uniform temperature field distribution in the column box, high temperature rising and falling speed and high temperature control precision, the analysis accuracy and repeatability are greatly improved, the analysis period is shortened, and the real-time performance of analysis data is improved.

This invention discloses a sleep analysis method that integrates spatiotemporal multi-scale features, comprising the following steps: Step 1, acquiring multi-channel raw physiological signal data from a polysomnography device and preprocessing it to obtain a standardized multi-channel signal data block of fixed length; Step 2, inputting the standardized multi-channel signal data block into a pre-trained deep learning feature extraction network, which includes parallel temporal feature extraction branches and spatial feature interaction branches, and outputting a multi-scale fused feature vector; Step 3, inputting the multi-scale fused feature vector into a pre-trained sleep event recognition model based on the Transformer architecture, which then outputs a sleep analysis report. This invention has the advantages of high efficiency, accuracy, and strong generalization.

The invention belongs to the technical field of ATE diagnosis, particularly relates to a test breakpoint control method and system for an ATE diagnosis process, and is used for solving the problems that existing ATE diagnosis breakpoint control depends on software codes, the operation threshold is high, hardware identifiers cannot be accurately associated, and the fault positioning efficiency is low. The method comprises the following steps: configuring breakpoint parameters, wherein the breakpoint parameters comprise identification information and trigger conditions of a target hardware unit; loading the breakpoint parameter into a test flow of an ATE diagnosis process; in the process of executing the test process, contextual information of a currently tested hardware unit is obtained in real time, and the contextual information comprises an identifier of the current hardware unit; matching the identifier of the current hardware unit with the identifier information of the target hardware unit, and if the identifier information of the current hardware unit is consistent with the identifier information of the target hardware unit and meets the trigger condition, triggering interruption to suspend the current test process; and in response to a recovery instruction, releasing the interruption and continuing to execute the test process.

The invention discloses a cell membrane chitosan ferroferric oxide microsphere, a preparation method and an application thereof, and the preparation methods include: (1) preparation of a cell membrane suspension; (2) preparation of a ferroferric oxide suspension; (3) preparation of chitosan ferroferric oxide microspheres; and (4) preparation of cell membrane chitosan ferroferric oxide microspheres. The invention uses magnetic microspheres as carriers and uses external magnetic force for separation, thereby avoiding the influence of factors within the system on the analysis work. It does not require steps such as column loading and column balancing required for traditional cell membrane chromatography, simplifies the active component analysis process, and shortens the analysis cycle. Compared with traditional cell membrane chromatography columns, the amount of cell membrane used is reduced. It does not require column loading and column balancing, thereby reducing the amount of buffer used. Chitosan has biocompatibility, stabilizes magnetic microspheres, avoids aggregation in aqueous media, and has low toxicity, good biodegradability and adhesion. The magnetic microspheres coated with chitosan can be bonded to a variety of ligand proteins for affinity analysis.

The present application relates to the technical field of metallurgy, and discloses a kind of iron ore powder sintering reaction performance evaluation method and system, to solve the problems of fragmentation, strong experimental dependence, unable to measure key parameters and poor dynamic adaptability of existing method, scheme mainly includes: obtaining the chemical composition of the iron ore powder to be evaluated, and normalizing processing;Using the Equilib module of FactSage, the results under different temperature conditions are calculated when the reaction equilibrium is obtained;Extract liquid phase production, liquid phase chemical composition and reaction enthalpy data;And using the Viscosity module of FactSage, the liquid phase viscosity under different temperature conditions is calculated;Select the liquid phase production, reaction enthalpy and liquid phase viscosity under a certain temperature as evaluation parameters, carry out vector normalization processing and set weight, use TOPSIS multi-criteria decision method, respectively calculate the relative closeness of each group of evaluation parameters;Relative closeness is used as the evaluation index of iron ore powder sintering reaction performance.The present application improves the accuracy and efficiency of sintering reaction performance evaluation.

The invention relates to the technical field of defect detection, in particular to a 4D-STEM material defect automatic detection method and system, and the method comprises the steps: obtaining 4D-STEM data, carrying out the structural processing, and generating low-dimensional features inputted by a student network and privileged modal data inputted by a teacher network; an asymmetric teacher-student network is constructed, the teacher network processes the privilege mode to obtain physical semantic features, and the student network processes low-dimensional features; a compound loss function formed by DINO distillation and the like is used for pre-training a student network, and teacher parameters are updated through EMA; after the teacher network is removed, the decoder is accessed for fine tuning; and the deployment network inputs the to-be-detected data output result. By means of cross-modal distillation, students can learn physical priori in a network mode, the detection precision is improved, automatic detection of defects such as dislocation is achieved, and efficiency and robustness are both considered.

The invention provides a quantitative analysis method for a metal element Ni in a complex matrix, which comprises the following steps: evaporating to dryness liquid to be detected to obtain an evaporated to dryness sample; adding the evaporated sample into concentrated nitric acid for soaking, and digesting; carrying out acid removal on the digested sample, cooling to a constant volume to obtain a primary sample solution, filtering the primary sample solution, and diluting with dilute nitric acid to obtain a to-be-detected sample solution; detecting by using a helium collision mode of an inductively coupled plasma mass spectrometer: establishing a linear regression equation based on Ni element signal intensity and corresponding concentration of a blank solution and a plurality of Ni element-containing mixed standard solutions with different concentration gradients, and taking the linear regression equation as a quantitative standard curve equation of the Ni element; detecting the sample solution to be detected by using a helium collision mode of an inductively coupled plasma mass spectrometer to obtain the signal intensity of the Ni element in the sample solution; and obtaining the concentration of the metal element Ni in the sample solution to be detected based on the signal intensity of the Ni element in the sample solution and the quantitative standard curve equation.

This invention relates to the field of electric drive system design and development for new energy vehicles, specifically to a method for testing and analyzing the dynamic stiffness of electric drive assembly mounts and the accuracy of simulation. The method involves standardized frequency response testing of the electric drive assembly mounts, identification of minimum dynamic stiffness, and the construction of a dynamic simulation model consistent with the test boundaries to extract the minimum dynamic stiffness on the simulation side. Then, it sequentially performs frequency and amplitude error analysis of the minimum dynamic stiffness points in the tests and simulations, as well as average dynamic stiffness error analysis. Finally, it comprehensively calculates accuracy performance coefficients based on multi-dimensional error coefficients and establishes a scoring system to achieve a quantitative evaluation of the test and simulation accuracy. This method solves the technical problems in existing technologies where evaluating the dynamic stiffness of electric drive assembly mounts requires multiple physical impact tests, which are resource-intensive, time-consuming, and lack a systematic and quantitative analysis method for testing and quantifying the accuracy of mount dynamic stiffness, thus failing to utilize the preliminary analysis results to guide subsequent mount design and development.

The invention discloses an ecological system health dynamic early warning platform and method based on sky-ground integration, and the platform comprises a data preprocessing layer which is used for obtaining sky satellite data, air unmanned plane data and ground sensor data of a target natural region in a preset historical time period; the model analysis layer is used for extracting a plurality of ecological parameters of each preset ecological attention object from the acquired data; dynamically determining the final weight of each preset ecological attention object based on the current environment state at the current moment; performing weighted summation on the plurality of ecological parameters and the final weight to obtain a current ecological health comprehensive value; the health early warning layer is used for determining a change trend curve graph of the ecological health comprehensive value in a future preset time period according to the current ecological health comprehensive value and the current environment state; and based on the change trend curve graph, determining whether to carry out early warning on the target natural area. By adopting the method and the device, the timeliness requirement of ecological protection can be met, and meanwhile, the accuracy of an early warning result is improved.

This invention provides a method for closed-loop debugging of vehicle functions. The method includes: acquiring and parsing engineering files of mass-production software and a vehicle reference model to obtain a first set of parsing results and a second set of parsing results; establishing a mapping relationship between mass-production software signals and vehicle reference model signals; generating a co-simulation interface layer based on the mapping relationship; driving the vehicle reference model to execute debugging tasks through the co-simulation interface layer; synchronously sending the same vehicle operating condition to two execution environments, and collecting a first output result and a second output result from the two execution environments; comparing the consistency of the two output results, and if a result deviation is detected, locating the source of the deviation based on the signal dependency relationship. According to the technical solution of this invention, the workload of manual interface configuration can be reduced, the efficiency of vehicle function debugging can be improved, the consistency between simulation results and actual operating results can be enhanced, the source of problems can be automatically located, and the problem analysis cycle can be shortened.

The present application relates to the technical field of industrial safety and chemical engineering design, in particular to a chemical engineering design and safety risk analysis integrated platform.The platform adopts a four-layer architecture of data base layer, intelligent engine layer, business component layer and human-computer interaction layer.The method comprises the following steps: intelligently analyzing chemical engineering drawings through an AI-P&ID recognition engine, extracting drawing element parameters and constructing topological relations; performing parameterized editing and conflict checking through a P&ID editing and checking component; performing process flow dynamic simulation through a process simulation engine; performing intelligent reasoning of risks through a HAZOP knowledge base large model; and finally automatically generating a structured risk analysis report through a report generation component.The present application realizes full-chain automation from drawing analysis to report generation, solves the problems of serious manpower dependence, obvious data defects, low efficiency and fragmented functions in traditional methods, improves the efficiency, accuracy and reliability of chemical safety risk analysis, and reduces the cost of manpower and software.

This invention discloses a precise and rapid identification device for elements in drilling cuttings, relating to the field of geological exploration equipment. It includes a housing, a sample processing component, a rotating multi-station sample tray, an X-ray detection component, a cleaning component, a data calibration module, and a human-machine interface component. The sample processing component sequentially feeds, grinds, and presses the drilling cuttings into standard samples. The rotating multi-station sample tray carries the samples and moves them between stations. The X-ray detection component irradiates the samples and acquires elemental data. The data calibration module uses a machine learning model to correct the raw data in real time. The cleaning component automatically cleans the sample cups after use. This invention achieves a fully automated, integrated workflow from sample feeding to analysis, solving the problems of non-standard sample pretreatment, low detection efficiency, and poor data accuracy in the field, significantly improving the speed and accuracy of element identification in drilling cuttings.

The present invention provides a method, system and medium for dynamic visualization display and evaluation of wafer dispatching strategy, and relates to the technical field of methods and equipment for manufacturing semiconductor devices. The method comprises obtaining a parameter set required for executing the wafer dispatching strategy, wherein the parameter set comprises a custom input parameter set or a slice data snapshot generated by executing a historical strategy; inputting the parameter set into the dispatching strategy to debug the dispatching strategy; and performing dynamic visualization display and effect evaluation based on the debugging process of the parameter set in the dispatching strategy. The present invention saves the slice data snapshots of the historical dispatching scenarios, thereby laying a foundation for truly reproducing the historical dispatching scenarios, and the credibility of the strategy effect evaluation results is higher.

The invention relates to the technical field of flow log message analysis, in particular to an interface flow log message analysis system and method on network shunting equipment, and the system comprises a log configuration loading module which comprises an analysis configuration file loading module and a log configuration file analysis module; the log configuration file analysis module is used for analyzing the received log data packet by using the analysis structure generated by the log configuration loading module; the log message analysis module is used for analyzing a structure according to the log message protocol layer generated by the log configuration loading module; the log data storage module is used for screening and formatting the analyzed log data and storing the processed log data into a database; and the log information query module is used for carrying out information comparison on the stored log data and outputting a query result. The method has the advantages that the difficulty of log analysis in the project is reduced; the complexity of flow log interface data message analysis is reduced, and the log analysis period is shortened.

The invention relates to the technical field of genome sequencing, in particular to an umbilical cord blood stem cell detection and screening system.The umbilical cord blood stem cell detection and screening system comprises a collecting and processing unit, a detection and analysis unit and a judgment output unit.The umbilical cord blood is sampled, an umbilical cord blood sample is obtained, and umbilical cord blood stem cells are obtained through automatic processing; the umbilical cord blood stem cell gene segments are sequenced by using a high-throughput sequencing technology, and the sequencing depth and coverage of the umbilical cord blood stem cell gene segments are determined, so that the detection accuracy is improved, the false negative rate is reduced, and a more comprehensive genome region is analyzed; the gene segments of the umbilical cord blood stem cells are automatically analyzed according to the sequencing depth and the coverage degree, a comparison quality score is obtained, whether the gene segments of the umbilical cord blood stem cells are mutated or not is judged according to the comparison quality score, and a judgment result is uploaded to a user interface.

A calcination method and an intermittent kiln belong to the field of inorganic non-metallic material processing. The calcination method includes: obtaining a first reference condition; calcining the processing object, and during the calcination process, continuously collecting and correspondingly obtaining a first working condition; and controlling the calcination condition according to the trigger condition. The scheme can shorten the analysis cycle of the calcination process and improve the analysis quality.