27 results about "Direct analysis" patented technology

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 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 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 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.

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 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 present disclosure relates to the technical field of Internet of Things, and particularly relates to a kind of observation quantity noise variance estimation method, device, equipment, medium and product, the method comprises: calculating Doppler observation quantity noise variance initial value;And, calculate pseudo-range observation quantity noise variance initial value;According to the pseudo code correlation peak value reported on baseband, the actual position where pseudo code peak value is located is identified, and pseudo code correlation peak weight is calculated;According to the carrier correlation peak value reported on baseband, the actual position where carrier peak value is located is identified, and carrier correlation peak weight is calculated;Pseudo-range observation quantity noise variance is calculated;And Doppler observation quantity noise variance is calculated.Through the pseudo code correlation peak value and carrier correlation peak value reported on baseband, the signal waveform demodulated in the receiver can be directly analyzed to diagnose the severity of the interference on positioning signal, and the observation quantity noise variance is adjusted accordingly, not relying on external indirect indicators, which is beneficial to improve the accuracy of observation quantity noise variance.

The present invention provides a sampler device (100) having two sides, each side for extracting samples of molten metal for direct analysis from a bath of molten metal. The sampler device includes a carrier tube (102) at least partially enclosable inside a mechanical enclosure (104). The carrier tube (102) having a first immersion end (106) with a first sample collection chamber (110) connected thereto for extracting a first sample from the samples, and a second emersion end (108) having a second sample collection chamber (112) connected thereto for extracting a second sample from the samples. The mechanical enclosure (104) is adapted to receive the second emersion end (108) while extracting the first sample using the first immersion end (106), and the mechanical enclosure (104) is adapted to receive the first immersion end (106) while extracting the second sample using the second emersion end (108), to thereby enable the sampler device to extract two molten metal samples.

The utility model relates to a multichannel gas analyzer which comprises a mounting seat, a gas analyzer body is embedded in the mounting seat, an annular groove is formed in the middle of the top side of the mounting seat, an annular supporting belt is connected in the annular groove through a driving piece, and a plurality of gas extraction mechanisms are arranged on the top side of the annular supporting belt. The utility model relates to the technical field of gas analyzers. According to the multi-channel gas analyzer, when the gas analyzer is used for analyzing air at a corresponding position, the gas extraction mechanism can be directly matched with the control part to extract a gas sample needing to be analyzed subsequently, so that the sample can be pre-stored in multiple channels, and after the previous sample is analyzed, the sample can be pre-stored in the multiple channels, so that the sample can be pre-stored in the multiple channels; the subsequent gas sample is directly analyzed subsequently, so that the gas analysis efficiency can be improved.

The invention relates to the technical field of dietary fiber detection, in particular to a method for detecting dietary fibers in food, which comprises the following steps: pretreating a sample, crushing a grain or vegetable and fruit sample, adding a buffer solution, uniformly mixing, performing single composite enzymatic hydrolysis, adding a composite enzyme solution into the pretreated sample, performing synchronous enzymatic hydrolysis at 35-55 DEG C for 30-90 minutes, the compound enzyme comprises amylase, protease and amyloglucosidase, performing direct separation, performing centrifugal filtration on enzymatic hydrolysate, collecting filtrate, performing precipitation-free quantification, directly analyzing the total amount of soluble dietary fibers in the filtrate by adopting a high performance liquid chromatography (HPLC) combined with a differential refraction detector, and calculating the content by an external standard method. Time-consuming links such as alcohol precipitation, ash content determination and protein determination are omitted, so that the whole-process reworking risk caused by single misoperation is avoided, and the overall time is shortened to be within eight hours; traditional step-by-step enzymolysis is changed into single composite enzymolysis reaction, so that the total quantity of types of enzyme preparations is reduced, and the detection cost is reduced.

The application discloses a dark field confocal microscopic measuring device and method based on circular dichroism, which comprises a circular dichroism light beam generating module, a ring light generating module, a light beam scanning illumination module and a dark field confocal detection module; linearly polarized light is incident on a polarization grating to simultaneously generate first polarized light and second polarized light, and an acousto-optic modulator is controlled to modulate the light beam into a pulse form to realize that the polarized light alternately performs illumination in the same period. The light beam is modulated into a ring illumination light beam via a cone lens group, and a complementary aperture stop is utilized to collect scattering signals, and the collected scattering signals of the first polarized light and the second polarized light are differentiated. Direct analysis of the scattering signals in a single polarization state can extract three-dimensional distribution information of defects such as surface scratches, abrasions and subsurface cracks, bubbles and the like; analysis of the scattering signal difference under illumination of left-handed and right-handed ring light can obtain optical chirality information of micro-nano structure materials, and the sensitivity of chirality detection is improved.

The invention discloses a system and a method for measuring silicate radicals in high-purity water by on-line ion chromatography and application, the system realizes automatic on-line enrichment of trace silicate radicals (such as 1-5ppb in steam condensation water) by integrating an intelligent concentration unit and switching a flow path by using a multi-port high-pressure valve. For a high-concentration sample (such as 100-500ppb in boiler water), the system can directly analyze by bypassing a concentration column. The method comprises the following steps: sample introduction, automatic flow path judgment and switching based on concentration, fixed volume concentration and elution of trace samples, ion chromatography separation, suppressed conductivity detection and data processing. The method solves the problem that ppb-grade silicate cannot be detected on line by a traditional method, realizes full-scale, high-precision and low-maintenance on-line monitoring from ppb to thousands of ppb, and is particularly suitable for water quality control of high-purity water systems in electric power, petroleum and chemical industries.

The present application provides a kind of coal mine water prevention and control data processing method and system, it is related to data processing technique, control inspection equipment real-time image acquisition is carried out to the top wall and side wall in coal mine tunnel, obtains the multiple inspection images corresponding to each inspection point in coal mine tunnel;Directly analyze the inspection image, generate analysis result, analysis result includes normal result, direct abnormal result and potential abnormal result, when determining that analysis result is direct abnormal result, generate early warning information;When determining that analysis result is potential abnormal result, water seepage analysis is carried out to the slot position image, obtains water seepage result and non-water seepage result, generates early warning information based on water seepage result;Coal mine tunnel space corresponding to coal mine tunnel is constructed, based on corresponding inspection point, inspection image and slot position image are updated to coal mine tunnel space, obtain coal mine verification space, send coal mine verification space and early warning information to management end, improve the accuracy of water seepage detection.

The invention relates to assemblies for operating ion spectrometry, such as ion mobility spectrometry or mass spectrometry, and, in particular, to those assemblies operating in conjunction with ion sources using ambient ionization, and, further in particular, using the principle of Direct Analysis in Real Time (DART®). An assembly according to the disclosure enhances and improves calibration of an ion analyzer being coupled with the assembly.

The embodiment of the invention provides an open-circuit fault pre-judgment method and system for an energy storage converter, which abandons direct analysis on original monitoring data and establishes a dynamic health reference changing in real time along with working conditions for the energy storage converter by using an electric heating physical model. And comparing an actual measurement value with the reference to generate a group of normalized state feature vectors of which the influence of working conditions is eliminated, so that effective decoupling of fault information and working condition noise is realized. Then, in order to accurately quantify the health level reflected by the multi-dimensional features, an unsupervised learning model based on an auto-encoder is introduced. According to the model, by learning massive health samples, normalized feature vectors can be intelligently fused into a single health factor which is highly sensitive to weak anomalies. And finally, the trend of the health factor is analyzed, so that the pre-judgment of the open-circuit fault can be realized.

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 application provides a household appliance maintenance guidance method and device, a unified vector database is constructed in advance based on text information, image information and audio information related to household appliance faults; on-site situation information of the household appliance is acquired, the on-site situation information includes video information, audio information and / or text information; the on-site situation information is subjected to image matching, audio matching and / or text matching based on the unified vector database, and a knowledge fragment is output as a search result; the search result is input into a large language model, and a household appliance maintenance guidance scheme is output. A search and reasoning framework based on direct fusion of multi-modal features can be constructed, image, audio and text features of the fault are directly analyzed, information dimension reduction loss is avoided, and the comprehensive accuracy of fault diagnosis is improved to more than 95%; through dynamic knowledge search and enhancement generation technology, the risk of "knowledge illusion" that may occur in the professional field of the general large language model is effectively reduced.

Machine performance, including efficiency, is analyzed in direct frequency domain by measuring the input power to the machine over a range of machine speeds (frequencies, ω). A differentiable mathematical function or model is identified that characterizes the input power vs. speed functional relationship. Successive derivatives of experimental power vs. speed data enable the calculation of coefficients of the mathematical function at a plurality of points (frequencies) in the frequency domain. Performance parameters including machine efficiency, pressure, pressure drag, flow, viscous drag, frictional drag, viscosity and work may be calculated from the coefficients of the mathematical function. One or more desired, optimum or best operating point(s) for machine speed may be defined in terms of the coefficients of the mathematical function or the derived performance parameters.