140 results about "Direct analysis" patented technology

The invention provides an esophagus pressure measuring method, system and device based on big data, and relates to the technical field of medical image processing, and the method comprises the steps: obtaining historical detection data; performing three-dimensional reconstruction processing according to the historical detection data to obtain a three-dimensional model set; performing feature extraction according to the three-dimensional model set, and integrating to obtain a structural feature set; performing simulation processing according to the structural feature set to obtain an esophageal pressure labeling data set; performing model construction processing according to the esophageal pressure labeling data set and the structural feature set, and obtaining an esophageal pressure prediction model by analyzing a mapping relation between esophageal structural features and local pressure and training a neural network model; and performing prediction processing on the real-time endoscope video based on the esophageal pressure prediction model to obtain an esophageal pressure real-time prediction value. Through direct analysis and three-dimensional reconstruction processing of endoscope video data, in combination with deep learning and mechanical simulation methods, non-invasive real-time prediction of esophageal pressure is realized.

The invention relates to a routing method and device based on an intention-aware path, computer equipment, a computer readable storage medium and a computer program product. By adopting the method, the user behavior data can be processed through the multi-dimensional intention recognition model, the target user intention of the user can be quickly and accurately obtained, screening is carried out in the computing power routing network, the intention sensing path is generated, low-delay guiding of service routing is achieved based on the intention sensing path, and the user experience is improved. According to the invention, direct perception of the computing power demand and direct analysis of the high-level demand of the user are realized, and the resource utilization rate, the security and the performance of the computing power scheduling system are improved, so that the user demand can be responded more quickly and accurately.

The invention discloses a single-layer latticed shell structure damage identification method and system based on a direct analysis method, and the method comprises the steps: S1, constructing a numerical model according to the numerical value of a latticed shell structure, taking a key member of the latticed shell as a unit, analyzing and determining a distribution position, and preliminarily arranging a monitoring sensor measurement point for each unit; s2, updating a numerical model according to the monitoring data, performing construction analysis on each unit, determining deformation and residual construction stress, performing importance sorting on key components of the latticed shell again, and optimizing a measuring point arrangement scheme; s3, acquiring response data of each unit of the reticulated shell structure by using a monitoring sensor; s4, calculating unit unbalance force under the current reticulated shell configuration according to the response data, and calculating a structural stiffness matrix and a change matrix thereof; and S5, analyzing the change condition of the damage area by using the damage index and the structural stiffness matrix, and obtaining the damage condition of the reticulated shell key component. The structural member damage and the damage degree are accurately identified through the rigidity damage index.

The invention provides a method for correcting phases of an inner ring and an outer ring after power amplification and related equipment, and relates to the technical field of multi-path complex channels. And dividing the multipath complex signal into an inner ring and an outer ring. And performing exponentiation on the inner ring signal to eliminate the phase of the modulation information, and only remaining the residual phase information at the moment. The accumulation processing can integrate the phase information of a plurality of sampling points, and further highlights the overall phase change trend. In the phase calculation, the processed information is converted into phase data which can be directly analyzed, the phase offset is accurately calculated and corrected based on the phase data obtained in the previous steps by changing the direction and performing the extraction operation, the problems of inconsistent phases of the inner ring and the outer ring and disordered relative positions caused by a power amplifier are solved, and the communication quality and the system performance are improved.

The invention relates to power semiconductor device on-line monitoring and power electronic system control, in particular to a SiC MOSFET conduction current extraction circuit and method, high-frequency oscillation interference is effectively suppressed through a second-order passive RC filter circuit, a measurement error less than or equal to 1.5% is realized within a current range of 50A-300A in combination with an accurate mathematical model established by a depth symbol optimization algorithm, and the measurement accuracy is improved. The requirement of the intelligent gate driver on high-precision current feedback is met, and the measurement precision is remarkably improved; the pulse width direct analysis technology is adopted, a traditional active integrator and a digital decoding link are omitted, the system response delay is smaller than or equal to 500 ns, microsecond-level over-current protection can be supported, the response speed and the real-time performance are optimized, and the system safety in a high-frequency application scene is remarkably improved.

A method and system for enhanced financial data processing using large language models (LLMs) to transform PDF statements into structured accounting data. The invention preprocesses statements with line numbering, character position tagging, and data partitioning to overcome LLM context limitations. The system extracts transactions, reconciles them with statement balances, normalizes vendor information, and generates enhanced output files compatible with standard accounting platforms. This enhanced transaction data collapses reconciliation and categorization times in downstream accounting systems. The system creates a robust vendor-transaction database supporting direct analysis or simultaneous application of multiple accounting models.

The invention discloses a method for rapidly detecting chemical components in a thin steel plate below 2mm by using a direct-reading spectrometer, belongs to the technical field of physical and chemical detection, and aims to solve the problem that a sample with the thickness of less than 2mm in the national standard GB / T 4336-2016 cannot be directly analyzed by using spark discharge atomic emission spectrometry. The method comprises the following operation steps: confirming conditions such as a sample preparation mode, a sample spectrum excitation limit thickness, influence of sample flatness and use of a special sample clamp, optimizing working conditions of an instrument, and establishing a method for measuring 13 elements such as C, Si, Mn, P, S, Cr, Ni, Cu, Al, Nb, V, Ti and N in a carbon steel and low alloy steel sheet with the thickness not less than 0.20 mm through spark discharge atomic emission spectrometry. And verifying the precision and accuracy of the determination result of each element, and comparing the results to show that the determination result of each element is consistent with the standard GB / T 4336-2016. The method does not need to decompose a sample, and has the characteristics of accurate and rapid determination and good stability.

The invention discloses a semi-structured data analysis method and device and a medium, and the method comprises the steps: collecting semi-structured data from a preset data source, recognizing the data type of the semi-structured data, and determining an analysis mode corresponding to the semi-structured data according to the data type; wherein the analysis mode is divided into a direct analysis mode and an indirect analysis mode according to whether the data content can be directly obtained or not; on the basis of a direct analysis mode, determining an organization relationship among content elements in the semi-structured data, and reading data contents corresponding to the semi-structured data according to the organization relationship; based on the indirect analysis mode, performing region division on the semi-structured data, and obtaining data content corresponding to the semi-structured data through each data component obtained after division; and generating an embedded vector corresponding to the data content, and storing the embedded vector into a vector database to realize analysis of the semi-structured data.

The invention relates to a basketball match out-of-bound detection method and system based on computer vision in the technical field of match monitoring. The method comprises the following steps: deploying a plurality of overlook camera cameras and a plurality of look-up camera cameras at a preset position of a basketball court according to a preset coverage rule; collecting identity information of each member of the teams of the two parties of the game before the game is started to obtain personnel identity information; a look-up camera is adopted to judge out-of-bound persons, and a look-down camera is combined with figure postures and basketball tracking to scientifically judge out-of-bound persons. According to the method, the out-of-bound situation can be captured in real time through the picture of the upward-looking camera, and meanwhile, the out-of-bound situation can be captured more sensitively due to the fact that the out-of-bound position is closer and the judgment precision is high; the machine position advantage of the overlook angle can bypass shielding of the bottom line, the out-of-bound condition in the range of the bottom line is directly detected, and meanwhile the out-of-bound condition is judged by directly analyzing the last ball touch record.

The invention provides a network traffic log analysis method, electronic equipment, a storage medium and a program product. The method comprises the following steps: acquiring a scene analysis request for a network traffic log generated in a target scene; and inputting a scene field in the scene analysis request into a field analysis engine and an artificial intelligence model, so that the field analysis engine analyzes the network traffic log according to the scene field, and predicts a log analysis report of the field analysis engine according to the scene field through the artificial intelligence model, and obtaining a prediction result corresponding to the scene analysis request. In the implementation process of the scheme, the to-be-processed fields are respectively input into the field analysis engine and the artificial intelligence model, and compared with the direct analysis speed of the field analysis engine, the artificial intelligence model can quickly predict and obtain the prediction result corresponding to the scene analysis request, so that the scene analysis efficiency is improved. Therefore, the waiting time of the network flow log analysis is effectively reduced, and the real-time performance of the network flow log analysis is improved.

The invention discloses an equivalent simulation analysis method and system for a shock absorber of a comprehensive electronic system, and the method comprises the steps: carrying out the optimization and comparison verification of a constructed equivalent simplified finite element simulation model, and combining the sensitive frequency of a working environment of the comprehensive electronic system; according to the analysis method, the response of the shock absorber is researched on the basis of an equivalent model method, and variables in an analysis system are remarkably reduced by eliminating irrelevant influence factors; simulation parameter iteration correction is carried out by utilizing test data according to physical quantities such as a contact form, a pre-tightening force and a damping ratio which influence a finite element simulation analysis result, so that the precision of a simulation model is improved, and meanwhile, a finite element simulation result and actual measurement data of the shock absorber can be compared to judge the suitability of the shock absorber and a comprehensive electronic system; according to the analysis method, an equivalent simulation model with relatively high precision is established, and the simulation result is highly similar to the actual situation, so that the damping effect can be considered without an intermediate quantity of a vibration transfer coefficient, the response size of internal components of a comprehensive electronic system can be directly analyzed, and the comprehensive performance of the damper can be judged.

The invention relates to an unsaturated lipid analysis method, an unsaturated lipid analysis system and an on-line supercritical fluid derivative extraction-phase change focusing device thereof, the unsaturated lipid analysis method comprises the following steps: S1, under the action of a selective adsorbent, unsaturated lipid and a derivatization reagent are subjected to an epoxidation reaction in carbon dioxide in a supercritical state to obtain an extract liquid; the selective adsorbent is TiO2, and the derivatization reagent is m-CPBA; s2, changing the carbon dioxide in the supercritical state into a gas state by controlling the temperature and / or pressure, so as to enrich an epoxidation product of unsaturated lipid; and S3, analyzing the epoxidation product by adopting chromatography-mass spectrometry to obtain diagnosis ions of the epoxidation product, and determining the positions of double bonds in the unsaturated lipid according to the diagnosis ions. According to the method, derivation and extraction can be carried out in the same container, the extract directly analyzed by the supercritical fluid chromatography-mass spectrometry is provided, and the sample pretreatment step is simplified, so that sample degradation and artificial errors are reduced.

The invention relates to the technical field of mass spectrometers, and discloses an analytical instrument based on glow discharge and quadrupole mass spectrometry combination, which comprises an ion source, an ion transmission system and an ion separator, wherein the ion source is a glow discharge ion source; the ion separator is a quadrupole rod mass analyzer, and the quadrupole rod mass analyzer comprises four electrodes which are arranged in parallel. Compared with an existing analytical instrument, the glow discharge ion source can directly analyze a solid sample without being pretreated into a solution, and compared with an inductively coupled plasma source, the glow discharge ion source is small in matrix effect and especially suitable for high-salt and high-carbon samples; the quadrupole rod mass analyzer is simple in structure, small in size, low in cost, especially suitable for commercialized popularization and high in scanning speed.

This invention discloses a covalent organic framework material for selective solid-phase adsorption and separation, its preparation method, and its applications. The material is prepared by polycondensation reaction of electron-deficient triazine rings with short-chain linkers such as hydrazine hydrate, forming a layered structure with a high specific surface area of ​​602 m² / g and a concentrated pore size of 2.0 nm to 3.0 nm. This structure exhibits high adsorption capacity (up to 1.0 mg / g), rapid adsorption kinetics, and excellent selectivity for PAHs in organic solutions through strong π-π interactions and pore confinement effects. The preparation process is simple and the conditions are mild. The material has good thermal stability (>300℃), and its performance retention rate is higher than 92% after 5 cycles. When applied to the solid-phase adsorption of PAHs in petroleum products such as lubricating oil and white oil, it effectively eliminates matrix interference, allowing direct analysis without complex purification steps after adsorption. This overcomes the limitations of traditional materials such as silica gel and activated carbon, which have weak adsorption capacity and require cumbersome post-treatment, providing a new high-performance adsorption material solution for the efficient detection of trace PAHs in petroleum products.

The invention discloses an ionization device. Electrospray is an ionization mode, and after the electrospray is combined with a mass spectrometer or an ion mobility instrument, atoms and molecules can be analyzed or some microorganisms or cells can be directly analyzed. Based on the process that liquid fluid is atomized and expanded firstly and then gaseous fluid is compressed before entering an instrument in the electrospray process, a geometric structure cavity matched with the liquid fluid in shape is designed and used for spraying. By means of the mode that the shape is matched with the introduction process of the fluid, spray moves forwards as much as possible in a laminar flow mode, so that more stable spray fluid is obtained, and ions can be better introduced into an instrument for analysis.

The invention discloses a method for testing the thermal resistance uniformity of a wafer functional layer of a diamond GaN HEMT (High Electron Mobility Transistor) device. The method comprises the steps of compatible design of a test structure, design and preparation of a thermoelectric signal electrode, parameter control and test of an electrical method, and thermal resistance calculation and uniformity analysis of the functional layer. On the basis of a diamond GaN HEMT device structure and a wafer tape-out process, a thermal resistance test area is designed, a thermoelectric signal electrode is prepared, and the cooperative compatibility of a thermal test structure, the device structure and the wafer tape-out process is solved; in combination with a nine-point test area selected on the wafer, the thermal resistance uniformity analysis of a functional layer of the wafer is represented, and the direct analysis of the thermal resistance uniformity of the wafer interface of the device wafer of 4 inches and below can be realized at most; technical support is provided for control and optimization of a diamond GaN HEMT device wafer integration interface; the test method is more economical and convenient, and meets the development requirements of a new generation of semiconductor devices based on diamond materials and a thermal management technology thereof.

A device for preparing a tissue for analysis includes a first conduit adapted to transport at least one solvent, the first conduit having a distal opening that delivers the at least one solvent to a selected location on the tissue, a second conduit adapted to collect a sample comprising the at least one solvent and an analyte / metabolite from the tissue and transport the sample to at least one of a waste disposal, a storage container, and a sample analyzer. The device may be configured to directly sample an embedded tissue, and may include a heater that heats the at least one solvent to a temperature that melts the embedding medium, wherein the collected sample comprises the at least one solvent, liquified embedding medium, and an analyte / metabolite. The device allows direct analysis of the tissue at the selected location, without removing the embedding medium from the entire tissue section.

The application provides a revit model direct analysis and rendering method and system, the method comprises the following steps: extracting model original data through a plug-in API; analyzing the model original data to generate model analysis data; transmitting the analysis data to a server end for scene processing, including reconstructing the spatial structure of the model, generating hierarchical scene features, and establishing an index to form a model scene file; loading the model scene file through a multi-threaded download mechanism of a front-end page; and rendering the downloaded model scene file in real time. The application realizes direct analysis and rendering of a revit model by targeting a revit plug-in API, provides basic data support for flexible use of model data throughout the life cycle, has good reusability and expandability, greatly improves the stability of revit analysis and the efficiency of rendering, and provides a new method and idea for building an independent revit model application platform.

The invention discloses a data flow abnormal state detection system based on electric power informatization, and the system comprises the steps: firstly deploying an electric power data detection tool to collect data, such as data flow and protocol compliance, and setting a threshold value and a detection rule; when an abnormal data stream is detected, the system searches for an abnormal timestamp and reasons, such as personnel operation, weather change, equipment fault and the like, and establishes an abnormal data stream database for correspondence. And then, the system establishes a multi-factor anomaly analysis model by utilizing the corresponding relationships, so that the anomaly reason can be directly analyzed in the subsequent detection. The system further comprises a plurality of steps of data cleaning, feature extraction, standardized processing, log data cleaning and formatting, visual analysis and the like, so that the accuracy and reliability of anomaly detection are improved. Through the system, the abnormal state in the electric power informatization data stream can be effectively detected and analyzed, and powerful support is provided for stable operation of an electric power system.

The invention provides a qualitative detection method and system for types of fluorescent whitening agents in paper. According to the qualitative detection method for the types of the fluorescent whitening agents in the paper, a fluorescent whitening agent standard substance and a paper sample are analyzed and detected through a real-time direct analysis mass spectrum, and the types of the fluorescent whitening agents contained in the paper sample are determined; the method solves the problem that a paper sample is greatly damaged in the qualitative detection process of the fluorescent whitening agent at present, can qualitatively detect the fluorescent whitening agent in the paper under the condition that the paper sample is not damaged, and is suitable for valuables such as archives, paintings and calligraphies.

The application relates to an intention perception path-based routing method and device, computer equipment, a computer readable storage medium and a computer program product. By adopting the method, user behavior data can be processed by a multi-dimensional intention recognition model, target user intention of the user can be quickly and accurately obtained, screening is performed in a computing power routing network, an intention perception path is generated, low-delay guidance of service routing is realized based on the intention perception path, direct perception of computing power demand and direct analysis of high-level demand of the user are realized, resource utilization, safety and performance of a computing power scheduling system are improved, and user demand can be responded to more quickly and accurately.

The invention discloses a thermal desorption ionization device for hair analysis. The thermal desorption ionization device comprises a base; the container is arranged on the base, and an open placing groove is formed in the container; the heating assembly is used for heating the container; one end of the connecting channel is communicated with the placing groove, and the other end of the connecting channel is used for being connected with a mass spectrometry device; the cover body is arranged on the base, and the cover body is used for opening or closing the container; the liquid injection channel is used for guiding the solvent into the container; and the electric connection assembly is used for being connected with high-voltage electricity, and the electric connection assembly is in conductive contact with the container. Through the application of the thermal desorption ionization treatment device, the thermal desorption ionization treatment device capable of rapidly and directly analyzing the hair poisoning (drug) substances is provided, and the direct analysis and detection of the poisoning (drug) substances can be realized by the mass spectrometry device connected with the rear end of the thermal desorption ionization treatment device under the guidance of the connecting channel; the device is convenient to use, easy to control and high in hair analysis efficiency.

The invention discloses a method for rapidly evaluating conventional nutritional ingredients of whole corn silage based on NIRS. The method comprises the following steps: S1, collecting and processing a whole corn silage sample; S2, determining the conventional nutritional ingredients; S3, collecting a near infrared spectrogram; according to the method disclosed by the invention, the calibration model of mathematical correlation between the near-infrared spectrogram characteristics and the conventional nutritional ingredient content is constructed, so that the rapid evaluation of the conventional nutritional ingredients of the whole corn silage new sample is realized, the detection capability is efficient, the multi-component synchronous analysis is realized, and the detection flux is remarkably improved; on the basis of the high penetration characteristic and scattering effect of near-infrared light, various physical state samples can be directly analyzed without sample pretreatment; the operation cost is low, the robustness is good, no reagent participates in the whole process, and pollution to the environment is avoided.

The invention relates to a system that provides the calculation process as a result of a direct analysis by correlating the reaction kinetics with temperature, the isolated temperature control of electrochemical sensors suitable for use in field applications, which is used to perform a precise temperature control reaction in a closed environment.

The invention discloses an in-situ leaching uranium mining groundwater restoration reduction barrier test device and test method, and the device and method can perform simulation reduction on the water flow characteristics and the reduction process of groundwater under the condition of lower cost, and perform related experiments on the basis. A replaceable core pipe column module is innovatively added into the device, simulation sampling analysis can be conveniently carried out on an underground core area, and the problems that a polluted core solid sample is difficult to take in actual in-situ leaching uranium mining activity and an underground core solid sample cannot be directly analyzed in other underground water test devices are solved.

The invention provides a calibration system and a calibration method for a track insulation resistance on-line test device, and the system comprises the steps: installing a to-be-calibrated track insulation resistance on-line test device through an energy supply installation assembly, and obtaining a result measured by the calibrated track insulation resistance on-line test device through a central control test board assembly; according to a result measured by the calibrated track insulation resistance online testing device and a calibration resistance value provided by the resistance box assembly, an error value of the track insulation resistance online testing device can be directly analyzed and obtained in the central control test bench assembly. Therefore, an operator can adjust the on-line testing device for the track insulation resistance based on the error value so as to complete the calibration operation. According to the invention, a set of highly automatic and accurate calibration system is constructed, the system can set parameters, test execution and error analysis in the whole process, the manual error is significantly reduced, and the efficiency is improved.

The invention provides a method for predicting the productivity of a water-producing gas well of a water-driven gas reservoir, which enables a mine field to directly analyze and judge the influence of the activity of a formation water body on the productivity of the gas well. Based on a gas-water seepage theory and a material balance theory, parameters (water invasion constants) directly representing the active degree of a formation water body are introduced into a gas well productivity equation by utilizing gas well production dynamic data, a new productivity prediction model considering the influence of the high-speed non-darcy effect, the active degree of the water body and a skin coefficient on the productivity of the gas well is established, and the method belongs to an original innovative technology. According to the method, the productivity of the water-producing gas well of the water-driven gas reservoir under different water body active degrees can be quickly and conveniently determined by analyzing the model and utilizing gas well production dynamic data, so that gas field developers can timely adjust a gas well exploitation system according to the influence of different water body active degrees on the productivity of the gas well, and the production efficiency of the gas well is improved. And theoretical guidance and technical support are provided for formulating water control measures, delaying gas reservoir water invasion and improving the gas reservoir development effect.

The present application is applicable to the field of bioinformatics, and provides an HLA type determination method and device, including: comparing and screening HLA second-generation sequencing data samples after quality control processing with gene features of an HLA type database, and gene classification of the screened data; determining the candidate type range of each gene according to the gene-classified data and the HLA type database; comparing the gene-classified data with a preset gene sequence to determine the difference site; chaining the difference sites into chains, and comparing them with the difference site database to obtain accurate candidate types; determining the HLA type result according to the candidate type range and the accurate candidate type; the present application can directly analyze the HLA type result for normal HLA second-generation sequencing data samples without manual intervention, and will give corresponding prompt information for abnormal data such as HLA new type samples, suspected mixed samples, and data unqualified samples.

The invention belongs to the technical field of optical measurement, and particularly discloses a sample piece pre-alignment method and system for angle resolution polarization scattering measurement. According to the invention, the method does not depend on a conventional focusing imaging method, but directly analyzes the diffraction image in the defocus state, specifically, when the sample piece is in the defocus state, the zero-order light is separated from the positive and negative first-order diffraction light, and the form and position of the diffraction light spot are easy to detect, thereby obtaining more accurate diffraction characteristic information. The method is characterized in that the traditional limitation of focusing imaging is broken through by analyzing the out-of-focus diffraction image, and the flexibility and precision of measurement are improved. The method can effectively improve the sample piece alignment precision in nanostructure angle resolution polarization scattering measurement. Under different experiment conditions, through automatic image analysis and azimuth angle calculation, the system can adjust the position of a sample piece in real time, manual errors can be effectively reduced, the experiment efficiency is improved, and the accuracy of angle resolution polarization scattering measurement is ensured.