14 results about "Analysis sample" patented technology

A method for calculating total organic carbon (TOC) for a sample location includes obtaining an intact core soil sample from a sample location, the core soil sample having a depth and mass; transferring a predetermined fixed mass M from the intact core soil sample into an analysis sample container to obtain an analysis sample; and providing a subsample of the analysis sample for soil organic carbon (SOC) concentration testing.

The application discloses a malware large model adaptive analysis system based on improved GRPO and dynamic and static cooperation, comprising a collection execution module, a static feature extraction module, a log processing module, a prompt word engineering module, an LLM analysis module, an evaluation feedback module, an analysis strategy optimization module and a weight optimization module, and also discloses a method.The beneficial effects of the application are that the static features of the sample file to be analyzed are intelligently fused with dynamic behavior logs, complete analysis context is provided for the LLM, comprehensive and high-precision threat determination of dynamic and static combination is realized, the optimal analysis strategy can be selected according to the log size, the large log is processed by using the context-aware block mechanism, and therefore, the analysis quality is guaranteed while the efficiency and cost are taken into account.

The invention relates to the technical field of waste heat utilization, in particular to a method for utilizing cooling circulating water of an analytical sampler at an outlet of a washing tower of a water-coal-slurry gasification furnace, which comprises the following steps: the circulating water enters the analytical sampler at the outlet of the washing tower of the gasification furnace; after the circulating water absorbs heat and is heated, the heated circulating water enters the temperature tracing pipeline through the cooling circulating water pipeline; the temperature tracing pipeline is connected to the analysis sampling pipeline in a winding manner, the heating circulating water provides heat for the analysis sampling pipeline through the pipe wall of the temperature tracing pipeline, and then the heating circulating water becomes cooling circulating water; the process gas in the gasification furnace enters an analysis sampler, and the cooled and extracted gas sample enters an analysis instrument for analysis and detection. The heating circulating water generated after the analysis sampler is cooled is directly used for heat tracing of the analysis sampling pipeline, waste heat absorbed by the circulating water is fully recycled, a heat tracing device does not need to be additionally arranged, the temperature of a gas sample in the sampling pipeline can be effectively maintained, and condensation of easily-condensed components in the sample due to temperature reduction is avoided.

The application relates to the technical field of marine meteorological data assimilation, in particular to a marine meteorological data assimilation method based on self-adaptive scale decomposition. An original data set is acquired and preprocessed to obtain a two-dimensional matrix. Based on an empirical orthogonal function analysis method EOF, dimension reduction is carried out on the initial matrix to obtain a spatial mode which does not change with time. A spatial self-adaptive scale reduction model is constructed by using the correlation of points on the spatial mode. Grid setting is carried out on the spatial self-adaptive scale reduction model to obtain an optimized multiple network. A target functional is determined and scale-by-scale assimilation is carried out to obtain an analysis field. An accuracy calculation formula and an accuracy threshold value are determined. Sample observation values and sample analysis values of a sample to be analyzed are acquired, and the accuracy is calculated. The two-dimensional matrix is extracted and processed by the EOF, the spatial self-adaptive scale reduction model is obtained, and scale-by-scale assimilation of adaptive matching of spatial characteristics is realized.

1. The name of the design product: bottle (screw thread vial). 2. The use of the design product: for trace sample analysis sample bottle. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: combination state reference figure 1.

A data analysis method, system, and storage medium based on a bioanalyzer are disclosed. The samples to be analyzed include the test sample and standards. The method includes: acquiring the target channel signal measured by the bioanalyzer and determining whether the sample to be analyzed is a single-peak or non-single-peak sample based on the histogram of the signal; for non-single-peak samples, calculating the proportion of positive microspheres using the signal intensity corresponding to the deepest trough of the histogram as a first threshold; for single-peak samples, calculating the proportion of positive microspheres based on a second threshold, which is determined based on the first threshold of multiple non-single-peak samples of the standards; and calculating the average target capture amount of a single positive microsphere in the sample to be analyzed based on the interval where the proportion of positive microspheres is located and / or the signal intensity information of the positive microspheres. This method effectively extends the detection dynamic range and achieves automated and standardized data analysis. This application also discloses a corresponding system and computer storage medium.

The application provides a polysilicon production equipment fault diagnosis method and device, a server and a storage medium, and relates to the field of equipment fault diagnosis. The method comprises the following steps: acquiring target equipment collected sample data and first historical sample data within a preset time window; determining a first set composed of equipment parameters and a second set composed of equipment parameters and corresponding upstream and downstream process parameters; further determining the first robust distance of the equipment parameters according to the equipment mean vector and the equipment covariance matrix; determining the second robust distance of the equipment parameters and the corresponding upstream and downstream process parameters according to the overall mean vector and the overall covariance matrix; if the first robust distance is greater than the first robust distance threshold and / or the second robust distance is greater than the second robust distance threshold, the running state is determined to be an abnormal state. The comprehensiveness of the diagnosis and the accuracy of the diagnosis result are ensured, the stability of the benchmark during diagnosis is ensured, and the diagnosis efficiency is improved.

The application relates to the technical field of coal sample analysis, in particular to a method and device for determining a critical difference of 3mm storage and inspection coal sample inter-laboratory comparison, wherein the method comprises the following steps: taking a dry basis as a reference, respectively determining detection difference values of 0.2mm analysis samples prepared by a sending laboratory and a receiving laboratory, and calculating a 1.2T value according to detection items and index ranges, wherein T is a reproducibility critical difference specified in a corresponding detection standard; and comparing the detection difference values with the 1.2T value, wherein if the detection difference value is less than or equal to the 1.2T value, it is determined that the 3mm storage and inspection coal sample inter-laboratory comparison is qualified, otherwise, it is determined that the 3mm storage and inspection coal sample inter-laboratory comparison is unqualified. Therefore, the method solves the problems that related technologies use a square root of 3T as a critical difference of 3mm storage and inspection coal sample inter-laboratory comparison, the allowed range is widened, most of the comparison samples can pass the determination, and the sensitivity of the comparison result to detection abnormalities and quality fluctuations is reduced.

The application discloses a label noise detection method based on a multi-time step loss sequence, utilizes a character recognition module to recognize characters from an input image; utilizes an MSL-MentorNet label noise detection module to analyze a loss sequence of the input image in a continuous training period according to a character recognition result, dynamically allocates sample weights to detect and filter noise labels, and feeds back screened data to a character recognition module to optimize model training. The application adopts an MSL-MentorNet label noise detection and noise filtering mechanism based on dynamic curriculum learning, analyzes a loss sequence of a sample in a continuous training period, utilizes a BiLSTM network to distinguish noise labels from clean difficult samples, and combines a linear scheduling strategy to gradually increase a training data amount. Based on the method of the application, the complex text image recognition accuracy can be improved, and the method is especially suitable for robust recognition and noise filtering of complex text images in scenarios such as ancient book digitization, historical document restoration, industrial OCR quality inspection and the like.

This utility model relates to the field of extraction mixture measurement technology, and discloses an online multi-channel measurement device for the concentration of extraction mixtures. The device includes a housing, with a control cabinet fixedly installed on the left side of the housing. This utility model directly acquires mixture samples from different extraction tanks via an input mechanism, and immediately inputs these samples into a detection mechanism for concentration measurement at a constant temperature. The samples are then discharged by an output mechanism into the corresponding extraction tank, achieving rapid online measurement of the concentration of multi-channel extraction mixtures. Analysis is performed in a detection device next to the production line, effectively managing the number of samples, reducing workload, eliminating sampling time blind spots, and ensuring more accurate test data because the detection environment is consistent with the on-site environment. Relevant data can be quickly fed back to the production department, allowing production personnel to adjust the liquid volume immediately based on accurate data with minimal time lag, significantly improving product yield.

The invention provides an analysis sample generation method based on multi-source heterogeneous data and a transient stability boundary, and the method comprises the steps: collecting the multi-source heterogeneous data, constructing a digital mirror image simulation model, and carrying out the feature extraction, and obtaining a time sequence feature and a waveform data space feature; after feature fusion, a digital mirror image simulation model is combined to obtain a digital twinborn model; dividing power angle data in the digital twin model so as to determine a transient stability boundary of the target power system; and performing time domain simulation sampling by taking the transient stability boundary as a constraint condition to generate an analysis sample of the target power system. According to the method, the multi-source heterogeneous data covering the real-time operation state, the fault, the load, the new energy output and the system parameters are collected, and it is ensured that the data dimension comprehensively fits the actual operation characteristic and state of the target electric power system; and the dynamic law of the system is precisely restored through a digital twin model, and sampling is carried out by taking a transient stability boundary as a constraint, so that the accuracy of sample analysis can be effectively improved.

The invention relates to a binary sample analysis method and device and electronic equipment. The method comprises the following steps: acquiring a plurality of binary samples, performing feature extraction on each binary sample to obtain image features, semantic features and behavior features, complementarily capturing complete semantic information of the binary samples in different dimensions, fusing the image features, the semantic features and the behavior features to obtain global features, and based on a large model, carrying out feature extraction on the global features. Carrying out representation learning on the global features to obtain feature representation of each sample, representing binary samples in a high-latitude space to enable the binary samples of the same family to be gathered in the high-latitude space, and subsequently analyzing the samples to be analyzed; the family to which the to-be-analyzed sample belongs can be evaluated by calculating the distance between the to-be-analyzed sample and each family prototype vector.

A novel online deep sample preparation device comprises a primary sampling and crushing unit, a subsample division and collection unit and a total sample division unit, the primary sampling and crushing unit comprises an automatic belt sampling machine and a 6mm crusher, and the automatic belt sampling machine is used for collecting raw coal subsamples; the subsample division and sample collection unit comprises a waste material division belt, a scraping and sweeping division device and a bottom opening sample collector, the scraping and sweeping division device performs preliminary division on a coal sample of a 6mm crusher, and redundant samples are removed by the waste material division belt; the total sample division unit comprises a total sample division belt and a double-sample sampler, the double-sample sampler adopts a double-sample belt middle sampler, one sample is guided into a full-water analysis sample bottle, and the other sample is guided into a general analysis sample bottle. The pneumatic conveying system is simple in structure and free of frequent action components, so that the reliability of unattended operation in the whole process is fundamentally guaranteed.

The invention provides a rapid argillization sample polished section and a preparation method thereof, and relates to the field of lithofacies sample preparation. The method comprises the following steps: dividing a collected argillization sample to obtain an analysis sample, and determining a sampling amount according to the fineness of the sample; mixing epoxy resin, a diluent and a curing agent to prepare a mixed liquid; filling part of the mixed liquid into the bottom of a mold, adding the analysis sample, stirring, and adding the residual mixed liquid until no obvious bubbles exist; heating at a first temperature, and stirring after heat preservation to obtain a first sample; heating and curing the first sample at a second temperature to obtain a second sample, and immediately cooling after heating and curing to obtain a sample block; and carrying out post-treatment on the completely solidified sample block to prepare the polished section. According to the preparation method, the high-quality argillization sample polished section can be provided for mining enterprises, the enterprises are helped to more accurately understand ore properties, the ore dressing process is optimized, and the resource utilization rate is increased.