51 results about "Direct analysis" patented technology

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 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 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 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 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 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 invention relates to the technical field of database data synchronization, and discloses an online DDL synchronization method and system based on temporary table interception and conversion. The method comprises the steps of capturing a source database DDL log in a data synchronization channel, and identifying temporary table creation, data writing and renaming switching operation sequences in online DDL operation. And extracting a DDL modification statement executed for the temporary table, persistently storing the DDL modification statement, and converting the DDL modification statement into a target DDL statement for the source table according to the table mapping relationship. A landmark event representing renaming switching completion in a log is monitored, and a target DDL statement is sent to a target database for execution only when the event is triggered. According to the method, accurate and reliable synchronization of online DDL changes can be realized, and the problems of data structure inconsistency and synchronization interruption caused by direct analysis of the intermediate state log are avoided.

The invention discloses a method and a device for detecting abrasion of a carbon slide plate, and relates to the field of image processing. Determining coordinates of each pixel point of the carbon contact strip in the image; determining the number of pixel points under each abscissa, and taking the number as the thickness of the carbon contact strip of the corresponding abscissa; taking a preset number of abscissas as a group, and determining the average value of the thickness of the carbon contact strip of each group of abscissas; and if the average value is lower than the preset thickness, determining that the carbon contact strip is abraded, and prompting. The image of the carbon contact strip is collected, the thickness of the carbon contact strip is determined through the coordinates of the pixel points of the image, and then whether the carbon contact strip is abraded or not is determined. And the problems of time and labor consumption, high error rate, low detection efficiency and the like can be solved through direct image analysis.

The utility model discloses a detachable telescopic soil sampler for a travelling crane frame, which comprises a linear driving mechanism fixedly connected at a first edge below a cross beam, a bracket fixedly connected at a second edge below the cross beam, angle iron fixedly connected at a telescopic end of the linear driving mechanism, a protective cylinder fixedly connected at one side of the bracket, and a telescopic rod fixedly connected at the other side of the protective cylinder, a hollow cylinder is slidably connected into the protective cylinder. According to the utility model, the soil fertility detector is combined with the sampler, so that the soil fertility condition can be monitored in real time while a soil sample is collected. According to the integrated design, the dependence on manual intervention is reduced, errors or delay possibly caused by manual operation in a traditional method are avoided, and the working efficiency and the accuracy of data acquisition are improved. The soil fertility data can be acquired in real time, so that the user can directly analyze the nutritional ingredients and the state of the soil in the sampling process.

The present application relates to the field of data analysis, and particularly relates to a method and device for analyzing buried point data, equipment and medium. The present application firstly collects front-end buried point data in full, integrates scattered data such as page stay duration, resource loading and API performance, breaks the data fragmentation barrier, can establish a complete operation causal link, and accurately traces the problem source. Secondly, based on real-time buried point data direct analysis, the batch processing mode is abandoned, the performance degradation trend can be captured in real time, and the timeliness deficiency pain point is solved. Then, the analysis process constructs a user operation path with a time stamp, associates resource loading failure with corresponding page elements, fills in the analysis dimension blank, and accurately locates the fault inducement. Finally, the version optimization forms a closed loop, fundamentally improves the accuracy and timeliness of client operation analysis, and guarantees the stable operation of the client.

The invention provides a coal mine water control data processing method and system, and relates to a data processing technology, and the method comprises the steps: controlling inspection equipment to carry out the image collection of a top wall and a side wall in a coal mine tunnel in real time, and obtaining a plurality of inspection images corresponding to all inspection point positions in the coal mine tunnel; the inspection image is directly analyzed, an analysis result is generated, the analysis result comprises a normal result, a direct abnormal result and a potential abnormal result, and when it is determined that the analysis result is the direct abnormal result, early warning information is generated; when determining that the analysis result is a potential abnormal result, performing water seepage analysis on the slot position image to obtain a water seepage result and a non-water seepage result, and generating early warning information based on the water seepage result; and constructing a coal mine tunnel space corresponding to the coal mine tunnel, updating the inspection image and the slot position image to the coal mine tunnel space based on the corresponding inspection point position to obtain a coal mine verification space, and sending the coal mine verification space and early warning information to a management end, thereby improving the accuracy of water seepage detection.

The invention relates to a fault stress plugging coefficient plane characterization rapid implementation method and device, a medium and equipment. The method includes reading a regional stress direction angle and a fault polygon orientation data file. And calculating the fault stress plugging coefficient of each fault according to the regional stress direction angle and the fault polygonal orientation data file. And forming a plane graph by gridding the fault stress plugging coefficient of each fault. And reading the corresponding fault plane polygon, and externally tangent the plane graph by using the corresponding fault plane polygon to obtain a stress plugging coefficient plane graph reflecting the form of the fault plane. And respectively obtaining stress plugging coefficient plane graphs of different faults and combining the stress plugging coefficient plane graphs to obtain a stress plugging coefficient plane graph describing all the faults. According to the method, calculation is simple, only regional stress direction information needs to be provided, drilled well information does not need to be obtained, the fault plugging performance can be directly analyzed in a well-free and few-well area and an area with fast continental facies stratum phase change, and calculation efficiency is high.

The application discloses a kind of based on expert eye movement data's minimally invasive surgery error pre-judgment and skill evaluation network system and method thereof, the method includes the following steps, S1, data acquisition and pre-processing step: video frame pre-processing to image device, obtain the eye movement signal when surgery expert analyzes video, generate and correspond to each video frame eye movement heat map;S2, network training step: first pre-training generator, then using the generator and discriminator of training generator and discriminant by antagonistic scheme;S3, surgery error pre-judgment and skill evaluation step: using the network of trained analysis surgery video, the frequency of occurrence of surgical error is counted and the skill evaluation of doctor is given accordingly;The method in the application does not need to position surgical instrument, by learning the eye movement mode when expert watches auxiliary image device video, combine artificial intelligence method, directly analyze the video output of auxiliary image device, complete the pre-judgment of surgical error, and give the evaluation of doctor surgery skill.

This invention provides a sterilization detection device, a purification device, and a detection method. The device includes a data acquisition module and an analysis module. The data acquisition module acquires first and second state information at a first and a second data acquisition time during the detection of bacterial state changes, and records the interval between the first and second data acquisition times. The analysis module determines the sterilization intensity value of the purification device based on the first and second state information and the interval. This invention establishes a sterilization detection directly with the purification device, and by detecting the state changes of bacteria in the sterilization environment created by the purification device, it determines the sterilization intensity value of the purification device in real time. This allows for rapid and direct analysis of the sterilization effect of the purification device, providing a direct and intuitive display of the sterilization effect.

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 utility model provides a phenol liquid on-line chromatographic analysis system, the on-line chromatographic analysis system is connected with a phenol pipeline, the phenol pipeline is provided with at least one sample sampling point and at least one sample return point, the main body of the on-line chromatographic analysis system is a heat preservation box, and the heat preservation box is connected with the phenol pipeline. An anti-explosion heater, an on-line chromatographic analyzer and a sample pipeline are arranged in the heat preservation box, the sample sampling point is connected with the on-line chromatographic analyzer through the sample pipeline, the sample return point is connected with the sample sampling point through the sample pipeline, a coil heating belt is wound on the outer side of the sample pipeline, and the coil heating belt is connected with the sample return point through the sample pipeline. The coil pipe heating belt is heated by the anti-explosion heater, and the temperature of a pipeline in the box is kept at 60 DEG C by using the coil pipe heating structure and the anti-explosion heater, so that phenol obtained by sampling is always in a liquid state, and an on-line chromatographic analyzer can conveniently and directly analyze a sample.

The application discloses a direct detection method based on non-polar solvent and ionic liquid, comprising the following steps: (1) establishing a working curve by using an isotope internal standard method: I. preparing a series of samples containing an isotope internal standard; II. assembling an atmospheric pressure sound velocity spray ionization device; III. cutting a sample to be detected and placing the sample on a glass plate sample table, opening a gas source and a mass spectrometer, setting mass spectrometer parameters and detecting; IV. quantifying by using an isotope internal standard method; (2) detecting an actual sample by using the method of step III. The application applies non-polar solvent to surface direct analysis, introduces a double-cationic ionic liquid, and improves the conductivity and ionization efficiency of the liquid.

The application discloses a detection method for detecting drug amount based on solid phase microextraction and real-time analysis mass spectrum, which comprises the following steps: preparing a solid phase microextraction head by using a coating material, preparing a standard sample to form a standard curve solution, detecting the standard curve solution by solid phase microextraction and real-time direct analysis mass spectrum, obtaining a mass spectrum diagram of the standard curve solution, and then obtaining a standard curve equation of the standard curve solution; obtaining a peak area value of a to-be-detected sample by solid phase microextraction and real-time direct analysis mass spectrum, and substituting the peak area value into the standard curve equation to obtain the concentration of corresponding drugs. By setting the method process, the detection steps of the application are obviously simplified, the constant volume, detection and calculation operations can be carried out on site according to actual needs, the operation mode and operation site are flexible, and the beneficial effect of improving the detection efficiency can be achieved.

This invention discloses a method for quantitative analysis of wax film on rubber surfaces, comprising: vacuum sputtering a gold film onto the surface of a rubber sample; applying and compacting adhesive tape onto the gold film, then peeling off the tape to transfer the gold film and the attached wax film to the tape; cutting the wax-film-laden area on the peeled tape to obtain a tape sample sheet with a fixed area; analyzing the tape sample sheet using differential scanning calorimetry to measure the enthalpy of melting of the wax, and calculating the amount and average thickness of the wax film on the rubber surface based on a standard working curve and the fixed area. This invention avoids area errors caused by rubber elasticity through tape transfer and perforated sampling, ensuring the accuracy of the sampling area; compared to direct analysis of rubber samples, it improves the signal-to-noise ratio and sensitivity. It is simple to operate, yields accurate results, and can be widely applied to the quantitative analysis of wax films on tire sidewalls and various vulcanized rubber sheets.

The invention relates to the technical field of airborne meteorological radars, and discloses a method for associating detection data and in-situ observation data of an airborne meteorological radar. The meteorological radar detection data and the in-situ measurement result can be accurately and effectively matched and correlated through the processes of calculating the sight line vector of the in-situ measurement point, calculating the correlation angle of the meteorological radar detection data and the in-situ measurement result, carrying out correlation processing cycle judgment, outputting the matched filtering correlation result and the like; the problem that the time and space of direct analysis of the airborne meteorological radar detection data and the in-situ observation data are inconsistent is solved, the accuracy of the comprehensive observation result is improved, and the performance evaluation process of the airborne meteorological radar compared with the in-situ observation data is improved.

The present invention discloses a method and system for identifying damage to a single-layer lattice shell structure based on a direct analysis method. The method comprises the following steps: S1, constructing a numerical model based on the numerical values ​​of the lattice shell structure, analyzing the key components of the lattice shell as units to determine their distribution locations, and preliminarily arranging monitoring sensor measurement points for each unit; S2, updating the numerical model based on the monitoring data, performing a construction analysis on each unit, determining deformation and residual construction stress, re-ranking the importance of the key components of the lattice shell, and optimizing the measurement point arrangement plan; S3, using monitoring sensors to collect response data for each unit of the lattice shell structure; S4, calculating the unit unbalanced force under the current lattice shell configuration based on the response data, and calculating the structural stiffness matrix and its change matrix; S5, using the damage index and the structural stiffness matrix to analyze the changes in the damaged area and obtain the damage status of the key components of the lattice shell. The present invention accurately identifies the damage and damage degree of structural components through the stiffness damage index.

The application discloses a kind of processing methods of intelligent electric meter remote electric energy time series data.The application provides the missing of history data of time series for intelligent electric meter remote transmission and storage to database, noise data, dirty data problems such as repeated data, carries out data pretreatment.Through the data of database record, corresponding deletion, filling, reasonable modification is carried out to different types of "dirty data", realizes data cleaning, guarantees data overall accuracy and makes data have statistical significance, provides data basis for subsequent data analysis, feature extraction, energy prediction, energy-saving strategy use etc.In the process of energy consumption data analysis, the application processes the data collected to the database, overcomes the data loss, repetition and other problems that may be caused by data collection in hardware layer, forwarding through various networks and devices, so that the cleaned data can be directly analyzed and utilized, and it is an indispensable link in big data engineering.

The invention discloses a hydrogen sulfide gas detection method, which comprises the following steps of: performing selective physical absorption and dissolution enrichment on a large amount of gas to be detected by utilizing methanol absorption liquid under a low-temperature condition, and concentrating a hydrogen sulfide component which is originally dispersed and extremely low in concentration in the gas into the absorption liquid; the concentration is increased to an effective range which can be stably and accurately detected by a subsequent analysis instrument, so that the bottleneck that the signal is too weak and cannot be quantified during direct analysis is overcome; then, carrying out quantitative analysis on the enriched absorption liquid sample by using a high-sensitivity fluorescent sulfur detector to obtain an accurate numerical value of the sulfur content in the absorption liquid sample; and finally, accurately measuring the volume of the absorbed gas, carrying out correlation calculation on the measured sulfur content and the volume of the gas, and reversely deducing the content data of the hydrogen sulfide in the original gas, so that the accurate measurement of the content of the hydrogen sulfide in the ppb-level extremely low concentration interval is realized.

This invention relates to the field of mechanical equipment testing equipment technology, and discloses a gear fault detection and analysis method and detection system. The analysis method includes the following steps: preprocessing the vibration acceleration signal and rotational speed signal of the gear fault test bench under preset working conditions to form an intrinsic dataset; performing variational mode decomposition on the data in the intrinsic dataset to obtain a modal component set; reconstructing the modal component set based on the spectral kurtosis map method to form an extreme kurtosis set; processing the extreme kurtosis set using an adaptive time-domain synchronous averaging method, and then superimposing the processed dataset into a frequency domain enhancement; based on the envelope spectrum fault characteristics, analyzing the superimposed frequency domain enhanced dataset to obtain the fault characteristic frequency. This invention addresses the problem that traditional signal analysis methods cannot directly analyze gearbox faults under complex working conditions, and proposes a method and system for obtaining early fault characterization of gears, effectively suppressing noise interference in nonlinear and non-stationary complex signals.

The application discloses a kind of website real-time monitoring systems, including Server end and Agent end, the Server end includes six big modules of log storage, configuration center, analysis center, alarm center, Server-GUI, the Server-GUI module is main interface display module, can show alarm information, configuration information function, and can directly show alarm information and configuration information to staff, etc., when the Agent end is connected to server and carries out message transmission, configuration item is synchronously obtained, and real-time scanning is carried out locally, whether the scanning content hardware resource is beyond configuration threshold, whether web file exists dark link or malicious keyword etc., can real-time monitoring to website.The website real-time monitoring system of the kind through Server end and Agent end etc., realizes the purpose that directly analyzing original file can directly avoid existing certain false alarm or omission, by setting Server end and Agent end etc., realizes the purpose of real-time analysis to all server hardware resources and provides performance overload protection.

The application provides a network traffic log analysis method, an electronic device, a storage medium and a program product. The method comprises: obtaining a scene analysis request for a network traffic log generated in a target scene; inputting a scene field in the scene analysis request into a field analysis engine and an artificial intelligence model respectively, so that the field analysis engine analyzes the network traffic log according to the scene field, and the artificial intelligence model predicts a log analysis report of the field analysis engine according to the scene field, to obtain a prediction result corresponding to the scene analysis request. In the implementation process of the above scheme, by inputting the to-be-processed field into the field analysis engine and the artificial intelligence model respectively, compared with the speed of direct analysis by the field analysis engine, the artificial intelligence model can quickly predict and obtain the prediction result corresponding to the scene analysis request, thereby effectively reducing the waiting time of network traffic log analysis and improving the real-time performance of network traffic log analysis.