798 results about "Sample extraction" patented technology

The invention discloses an industrial innovation knowledge graph dynamic construction method based on a large language model, and belongs to the technical field of data processing. According to the method, multi-source heterogeneous data are integrated, cleaning, format conversion and standardization processing are performed, entities, relationships and attributes are automatically extracted by adopting a large model driven zero sample extraction technology, a high-precision triple library is constructed by combining entity embedding alignment and context anaphora resolution, and a knowledge graph is generated based on a graph database. According to the method, incremental data are captured in real time through a dynamic sensing layer, graph dynamic updating is achieved through an atomization updating mechanism, and data timeliness is guaranteed in combination with timestamps and multi-source verification. According to the method, the knowledge graph construction efficiency and coverage rate are improved, the defects that a traditional method is high in manual dependency degree, long-tail knowledge is missing, updating lags and the like are effectively relieved, and accurate support is provided for technical innovation decision making.

The invention belongs to the field of fuel gas leakage cruise detection, and discloses underway type vehicle-mounted laser fuel gas leakage detection equipment and method, and the equipment comprises a pumping type laser methane ethane detector, an overhead telemetering laser methane detector, and an unmanned vehicle. A pumping type laser methane ethane detector and an overhead telemetering laser methane detector are integrated with an unmanned vehicle, and all-directional dead-corner-free gas concentration detection of fuel gas from a near field to a far field is realized through an active sample extraction or remote laser telemetering technology. More importantly, through a data false alarm filtering algorithm and a gas leakage tracing algorithm, the methane leakage source can be accurately judged, the equipment false alarm rate can be reduced, the leakage source point can be positioned, and a high-efficiency and high-precision solution is provided for safety monitoring and management of an urban gas pipe network.

The invention provides a sea cucumber total nutrient extract production quality traceability method based on whole process tracking, and relates to the technical field of production quality traceability, and the method comprises the following steps: sampling a sea cucumber total nutrient extract in a finished product stage; carrying out key quality index detection on a plurality of sample extracts; obtaining a process-index degree matrix; positioning H risk process nodes; performing optimization hierarchical classification on the H risk process nodes according to the H risk contribution degrees and the standard process; and performing multi-level progressive optimization of the sea cucumber extraction process on the H risk process nodes, and performing process parameter updating by adopting a process optimization result. According to the method and the device, the technical problem of difficulty in production quality tracing caused by difficulty in real-time tracking of quality data in the whole production process due to the fact that data of each production link is usually isolated in the prior art can be solved, and the production quality tracing efficiency is improved by tracking the whole process from the production raw materials to the final product quality. And the transparency and traceability of the production quality are improved.

The invention discloses a clock processing detection system and a clock processing detection method based on machine vision, and relates to the technical field of clock processing detection. A round of detection result is divided into a first-grade clock, a second-grade clock and a third-grade clock; performing sample extraction of each batch on the first-grade clocks, transmitting the extracted first-grade clock samples and all the second-grade clocks to second-round detection, and dividing second-round detection results into high-quality clocks, defective clocks and inferior clocks; and identifying and triggering a manual sampling inspection demand according to the detection environment, and verifying a clock processing detection result. According to the invention, automation and intelligentization of clock processing detection are realized, product quality is accurately graded through comprehensive detection of multi-angle images and dynamic videos, and meanwhile, production efficiency and overall quality control level are improved in combination with environment identification and a data feedback mechanism.

The invention discloses a TFHE-oriented programmable bootstrap hardware implementation system, and the system comprises a vector calculation module which is used for executing an analog-to-digital switching step in a TFHE-oriented programmable bootstrap algorithm on an LWE ciphertext; the rotary register is used for caching and rearranging the LWE ciphertext; the function calculation module is used for executing a blind rotation step in a TFHE-oriented programmable bootstrap algorithm on the rearranged LWE ciphertext and the analog-to-digital switching result to obtain a blind rotation result; the vector calculation module is also used for executing a sample extraction step and a key switching step in a TFHE-oriented programmable bootstrap algorithm on the blind rotation result to obtain a decrypted ciphertext; when the function calculation module executes the blind rotation step, the polynomial in the rearranged LWE ciphertext and the analog-digital switching result is decomposed into a plurality of sub-polynomials through a number theory conversion unit, and the sub-polynomials are subjected to parallel calculation. The method can reduce the use amount of hardware units, and is high in decryption success rate, high in performance and small in area.

The invention provides a method and system for automatically generating a multilingual MOOC course based on recorded and broadcast courses, and relates to the technical field of digitization. Through the steps of intelligent noise reduction, voice recognition, voice recognition result correction, voiceprint training sample extraction, voiceprint model training and the like, multi-dimensional intelligent arrangement of courses and multi-language video synthesis are realized; comprising an intelligent noise reduction module, an intelligent voice recognition module, an intelligent voice recognition result correction module, an intelligent voiceprint training sample extraction module, a voiceprint model training module and a multilingual video synthesis module. The problems that in the prior art, when recording and broadcasting courses are converted into multilingual MOOC resources, a large amount of manpower and material resources are consumed, and rapid large-scale conversion cannot be achieved are solved; the recorded and broadcast course videos can be automatically converted into MOOC videos in different languages in batches without manual intervention, the robustness of the voiceprint model is improved, refined arrangement of course contents is realized, a large amount of manpower and material resources are saved, and rapid and large-scale course internationalization conversion is realized.

The invention discloses an in-situ TEM (Transmission Electron Microscope) device sample preparation method based on a suspended thinning and parallel carrying technology, which can be used for preparing in-situ TEM samples of semiconductor two-end devices and three-end devices, and mainly solves the problems of unstable ohm contact, nonuniform thinning, low success rate and high time cost in the prior art. According to the invention, an FIB sample preparation technology is adopted, and stable and reliable ohmic contact between a sample electrode and an MEMS chip electrode is ensured through specific-angle sample extraction, suspended thinning, parallel carrying, circuit breaking treatment and an accurate electrode welding process. According to the sample prepared by the invention, the failure state of a device can be observed in real time under a transmission electron microscope, the sample has the advantages of high sample preparation success rate, good repeatability, stable electrical parameters and wide applicable chip variety, and the reliability and repeatability of in-situ TEM test data are remarkably improved.

The invention relates to the technical field of chromatographs, in particular to a gas chromatograph which comprises a detection box, a sampling assembly used for sampling a sample is arranged at the top of the detection box, a gas inlet assembly is arranged in the detection box, and the top of the gas inlet assembly extends to the top of the detection box; the sampling assembly comprises a sample extraction cylinder for sucking sample gas; a sample insertion port is formed in the top of the sample extraction cylinder, a connecting cylinder is coaxially arranged on the inner wall of the sample extraction cylinder and the insertion port, a sliding sealing piece is slidably arranged on the inner wall of the insertion port, a connecting needle penetrates through the middle of the sliding sealing piece, and a sealing film is arranged at the tip of the connecting needle. Through the arrangement of the sampling assembly, a sample in a sample plastic bottle can be quantitatively sucked out and injected into the air inlet assembly, in the process, only the sample plastic bottle needs to be inserted into a preset position, and the phenomenon that gas leaks or other gas immerses into the sample plastic bottle does not occur in the insertion process; and the purity and the safety of the sampled sample are ensured.

The invention relates to a power system transient stability evaluation model construction method based on a sample extraction method. And key samples playing an important role in model training are extracted according to the spatial distribution information of the samples and the fault severity of the samples, and redundant samples are eliminated, so that optimization of the sample set is realized, and the performance of the model is improved. The method comprises the following steps: firstly, calculating based on a support vector machine (SVM) to obtain a support vector acting on a decision boundary, and extracting a critical sample in combination with the severity of a sample fault; then, counting position information of a neighbor sample and an approximate tangent plane of the similar curved surface, and extracting an edge sample in combination with the severity of a sample fault; and finally, the extracted samples are used for constructing a new sample set for training the stability evaluation model of the power system, so that the model precision and the training efficiency are effectively improved, and the evaluation tendency of the model is improved at the same time.

The present invention relates to the field of mechanical processing technology, and in particular to a quality inspection sampling device for parts used for mechanical processing, comprising a conveyor frame and a fixed table, a conveyor belt is arranged on the top of the conveyor frame, a paving assembly is arranged on the top of the conveyor frame, a fixed plate is fixedly connected to the side of the conveyor frame, a sampling assembly is arranged on the top of the fixed plate, a sample box is arranged on the top of the fixed table, and a control panel is fixedly connected to the side of the conveyor frame. Through the coordinated use of the conveyor belt, the paving assembly, the fixed plate, the sample box and the sampling assembly, an automatic sampling structure is formed, which can realize the automation of the sampling process. Automatic sampling can perform sampling without supervision, which greatly improves the sampling efficiency and also reduces the labor cost. It can perform uniform time sampling and detection on the items on the conveyor belt, avoid the subjective selection error caused by manual sampling, thereby ensuring the randomness of sample extraction, thereby ensuring the representativeness and reliability of quality inspection sampling data.

A system for automated extraction of biological samples from a set of biological samples has a small footprint and minimal movement of consumable sets, thereby reducing potential contamination during the extraction process. The extraction system includes a set of reaction tubes, a storage unit for storing a set of consumables, a sample preparation unit, a sample extraction unit, a waste unit, a plurality of robots for moving the tubes, samples, and cassettes, and a programmable control system programmed to process the samples in a serial mode in which a series of samples are processed sequentially in time one after another, thereby maintaining a continuous mode. Thus, a fixed processing turnaround time for each sample is maintained regardless of when the sample starts processing.

The utility model relates to the field of antigen detection kits, and discloses an infectious bovine rhinotracheitis virus antigen detection kit which comprises a box body, a roller is rotatably connected to the bottom side in the box body, a clamping groove is formed in the upper side of the roller, a clamping pin is connected to the clamping groove in a clamping mode, and a placing table is fixedly connected to the upper side of the clamping pin. A plurality of swab placing grooves, an extraction tube placing groove and a detection card placing groove are respectively formed in the upper side of the placing table, the plurality of swab placing grooves, the extraction tube placing groove and the detection card placing groove are distributed in a circumferential array, and sampling swabs are arranged on the inner sides of the plurality of swab placing grooves; according to the utility model, a plurality of groups of sampling swabs, sample extraction tubes and antigen detection cards which are distributed in a circumferential array manner are placed on the placement table, so that when sampling personnel go to cattle for sampling one by one, the sampling personnel can rotate to detection materials such as the next group of antigen detection cards and the like only by pressing down the push rod and switching the angle of the placement table, and the operation is convenient and the use is simple.

The invention relates to a sample treatment method for selectively removing glycosyl from glycosphingolipid through photocatalysis and a mass spectrometric detection method. The sample treatment method specifically comprises the following steps: (1) dissolving a sample in an alkaline protic solvent; (2) dispersing titanium dioxide particles; and (3) carrying out photocatalytic reaction under ultraviolet irradiation, and centrifuging to obtain a sample solution subjected to photocatalytic treatment. The mass spectrometric detection method specifically comprises the following steps: injecting a sample solution subjected to photocatalysis treatment into a mass spectrum, carrying out primary mass spectrometric detection, and carrying out comparison data analysis on the sample solution subjected to photocatalysis treatment and a sample extracting solution not subjected to photocatalysis treatment, a primary mass spectrum peak which is possibly a glycolipid decomposition product is screened through comparison and analysis results, and secondary mass spectrum detection is further carried out, so that the accurate molecular structure of glycolipid is analyzed. According to the method, the glycosyl head of glycolipid can be selectively, rapidly and efficiently removed in the presence of complex lipidomes, subsequent mass spectrum detection analysis is carried out, glycolipid spectrum peaks in complex mass spectrum peaks can be effectively, rapidly and accurately found out by comparing the mass spectrum peaks before and after removal, and the detection result is accurate. Important chemical information is provided for rapid locking of correct candidate substances in the first-level mass spectrum qualitative process, and meanwhile, the glycolipid decomposition product can obtain carbon chain structure information which is richer than that of original glycolipid to assist qualitative analysis.

The invention discloses an urban mixed functional area identification method and system based on multi-source remote sensing geographic data, and belongs to the technical field of remote sensing image identification. The method comprises the following steps: acquiring remote sensing image data and road network data of a research area, and performing preprocessing and data superposition to obtain a basic block unit of the research area; obtaining POI data of a research area, preprocessing the POI data, and extracting a first data set from the basic block unit by using a POI distribution information entropy guided sample extraction method; acquiring AOI data of a research area, preprocessing the AOI data, and extracting a third data set from the basic block unit through a multi-view difference information learning method; combining the first data set with the third data set to obtain a comprehensive data set; and training a neural network model through the comprehensive data set, wherein the neural network model is used for urban functional area classification. According to the invention, the recognition precision of the single functional area is improved, and the real layout of each mixed functional area can be accurately captured in a complex urban environment.

An apparatus and method for safe, timely and precise analytical composition measurements of a body of molten metal or alloy arranged in a metal furnace using an evacuated hollow tube to extract a sample of a melt from the body of molten metal or alloy. With the invention, the need for human intervention in sample extraction may be minimized, e.g., transportation of and preparation of a sample. The method comprises configuring a hollow tube to a metal furnace, establishing vacuum conditions within the hollow tube to extract the molten metal or alloy into the hollow tube to form a liquid metal or alloy column within said tube and carrying out elemental composition measurements on said liquid metal or alloy using known techniques such as Laser Induced Breakdown Spectroscopy (LIBS).

The invention relates to the technical field of power transmission engineering, and discloses an unbalanced sample galloping prediction method and system based on meteorological data, and the method comprises the steps: collecting the historical monitoring data of each monitoring point, and synchronously collecting the meteorological information of the corresponding monitoring point; monitoring devices and dates are taken as basic units, one piece of sample data is selected from daily data of each device, non-galloping samples in the sample data are grouped according to line numbers, and only samples corresponding to different spans are reserved in each group; according to line span characteristics, galloping high-incidence time periods and typical weather combinations, differential loss weights are given to sample data, and a weighted cross entropy loss function is constructed; and constructing a daily scale galloping prediction model, and training the model by using a weighted cross entropy loss function to realize daily scale prediction of a galloping event. By constructing a scientific sample extraction strategy, introducing a category weight mechanism and adopting a deep learning classification model, the recognition capability of the model on minority class events is improved.

The utility model discloses a batch sample sorting device, belongs to the technical field of sample sorting, and solves the problem that compared with portable and handheld Raman spectrum detection, the batch sample sorting device has better detection efficiency after a large number of products to be detected are subjected to sample extraction and batch sorting. Comprising a machine shell, and a through channel is formed in the machine shell; the probe is arranged in the machine shell and located above the channel. The conveying mechanism penetrates through the channel; the sample box comprises a fixed part and a rotating part, the fixed part is arranged at the movable end of the conveying mechanism, the rotating part is rotationally connected into the fixed part, a plurality of detection positions for bearing samples are arranged on the rotating part, and the sample box is located below the probe. According to the device, samples can be sorted in batches, related personnel only need to load the samples, the samples do not need to be manually detected, and under the condition that the number of the samples to be detected is large, the detection efficiency of the samples can be obviously improved.

The invention belongs to the technical field of artificial intelligence, and particularly provides an isolated mature convective cloud cluster dynamic identification system and method fusing satellites and radars, and the system comprises a data processing module which is used for carrying out the preprocessing of obtained wind cloud static meteorological satellite data and radar data; the convective cloud cluster sample extraction module is used for identifying convective cloud cluster samples; the isolated convective cloud cluster sample identification module is used for determining an isolated convective cloud cluster sample; the isolated mature convective cloud cluster sample screening module is used for carrying out mature convective and immature convective discrimination on the isolated convective cloud cluster samples and screening out the isolated mature convective cloud cluster samples; the sample dynamic inspection module is used for obtaining a final isolated mature convective cloud cluster sample; the identification model construction module is used for fusing and verifying satellite features and radar features of the final isolated mature convective cloud cluster sample and establishing an intelligent identification model; according to the technical scheme, full-life-cycle tracking of the isolated mature convection system can be realized.

The utility model discloses an environment-friendly water treatment sample extractor which comprises a sample sampling part, a suction part and a stirring part, the suction part is fixedly arranged on the upper surface of a fixed bottom plate, and the stirring part can automatically stir sediments at the water bottom during water sampling; in order to solve the problems that in the prior art, common water sample sampling equipment can only sample a water body and cannot effectively sample pollution particles deposited at the water bottom when sampling work needing pollutant detection is carried out, a stirring part is designed, the stirring part and a sample sampling part are matched and synchronously used, so that the sampling efficiency is improved, and the sampling efficiency is improved. According to the environment-friendly particle pollutant sampling device, the stirring treatment can be automatically carried out when the environment-friendly particle pollutant sampling device goes deep into the water bottom for sampling, so that pollution particles deposited at the water bottom can be stirred, the particles are fully suspended, the pollution particles are simultaneously sampled during sampling, and the environment-friendly particle pollutant sampling device is particularly suitable for detecting and sampling environment-friendly particle pollutants.

The invention relates to the technical field of aircraft sensor testing, and particularly discloses an aircraft sensor sealing performance testing device which comprises a main console, a simulation detection mechanism, a sample extraction and installation mechanism and an air source unit. The simulation detection mechanism is arranged on the left side of the main console and can automatically detect the sealing performance of the aircraft sensor workpiece; the sample extracting and mounting mechanism is arranged on the front side of the exterior of the simulation detection mechanism, and the sample extracting and mounting mechanism can be used for sampling and selecting aircraft sensor workpieces processed in an assembly line and mounting the aircraft sensor workpieces in the simulation detection mechanism. By adopting an automatic sampling installation detection technology, the sampled sensor is automatically installed on a simulated aircraft structural member, the installation environment of the sensor is simulated more truly, the sealing conditions inside and outside the sensor are detected and evaluated, and the working state of the sensor is simulated, so that the sealing problem occurring in the working process is found in time, and the working efficiency is improved. And repairing and improving.

The invention provides a method for detecting fluorine compounds in shrimps, which comprises the following steps: S1, sample preparation: removing shells of to-be-detected shrimps, and crushing and homogenizing muscular tissues of the to-be-detected shrimps to obtain a to-be-detected sample; s2, extraction: extracting a sample to be detected, retaining an organic phase, and concentrating to obtain a concentrated solution; then adding water which is 5-15 times of the concentrated solution for dilution to obtain a to-be-purified solution; the extraction solvent is an aqueous solution of an organic solvent; s3, purification: purifying the to-be-purified liquid by using a solid-phase extraction column to obtain a purified liquid; s4, concentration and constant volume: concentrating the purified liquid to be nearly dry, redissolving, and filtering to obtain filtrate; and S5, sample detection: detecting the filtrate by using a liquid chromatograph-mass spectrometer, and carrying out qualitative and quantitative analysis on the fluorine compounds in the prawns by adopting a standard curve method. The method can be used for simultaneously determining the contents of 41 PFASs compounds with different physicochemical properties in shrimps.

The invention relates to a sample transmission system and method and computer equipment, and aims to adjust the position sequence of carriers carrying common samples to be tested and urgent samples to be tested according to the running condition of the carriers of the inner rail at the current moment when urgent samples to be tested need to enter the inner rail to be extracted preferentially by an extraction assembly. Therefore, when the urgent to-be-detected sample is extracted and detected prior to the common to-be-detected sample, the jumped common to-be-detected sample can continue to move in the inner rail, and after extraction of the urgent to-be-detected sample is completed, the jumped common to-be-detected sample can enter the sample extraction position through the inner rail in time to be extracted by the extraction assembly, so that the extraction efficiency of the urgent to-be-detected sample is improved. Under the condition that high-priority processing of the to-be-detected sample is urgent, normal extraction and detection of a common to-be-detected sample are also considered, and the situation that the operation efficiency of a whole transmission system is affected due to excessive sacrifice of the common to-be-detected sample is avoided.

The invention provides a knowledge distillation-based model compression method and system, and the method comprises the steps: inheriting a soft label of a maturely trained teacher model, defining a distillation loss function of a student model through the soft label, enabling the student model to be compressed, generating a new sample extension training set through random sample extraction and mixing, and achieving the compression of the student model. The problem of insufficient data is relieved, meanwhile, the robustness of the model to noise and distribution offset is improved, through dynamic weight adjustment, a student model is made to quickly fit teacher model knowledge, autonomous optimization is conducted in the later training period, and over-fitting of soft labels is avoided. On a test set in which the proportion of unlabeled data is 30%, on the basis that the accuracy of using a real label is 78.3%, the accuracy is improved by 11.2% by using a pseudo target, deployment is performed by using a maturely trained student model, middle layer feature alignment is omitted, the occupation of a GPU video memory is reduced from 3.2 GB to 1.8 GB, and the deployment requirement of edge equipment is met.

The invention provides a wheat gene sample automatic extraction device, which comprises an extraction processing box, supporting foot bases, a sealing door, an automatic control panel group, a vibration crushing box, a cooling sealing cover, an insulating handle, a cooling liquid nitrogen tank and an analysis detection box, the supporting foot bases are respectively in bolted connection with four corners of the lower part of the extraction processing box; the sealing door hinge is connected to the lower side of the front part of the extraction processing box; the automatic control panel set is connected to the upper side of the front portion of the extraction processing box through screws. Liquid nitrogen grinding is combined with ceramic grinding beads, and a vibration motor, a supporting tray, a locking screw, a test tube clamping seat and a constraint clamping hole are utilized, so that high-throughput treatment of multiple wheat samples can be realized at the same time, the DNA extraction cost of a single sample is reduced by 60%, and cells are uniformly broken; and the analysis detection box, the detection probe group, the cracking bin, the communicating pipe and the processor are arranged, so that different tissues such as wheat endosperm (high starch) and leaves (high fiber) can be processed.

The invention belongs to the field of semiconductor life evaluation, relates to a data analysis technology, and is used for solving the problems that in the prior art, feature analysis cannot be performed according to life test results of different types of semiconductor devices, and links such as sample extraction and key test parameter optimization cannot be performed by combining feature analysis results. The intelligent service life evaluation system adapted to the power semiconductor device design comprises a sampling analysis module, a balance evaluation module, a tendency evaluation module and an evaluation analysis module, the sampling analysis module is in communication connection with the balance evaluation module and the tendency evaluation module, and the evaluation analysis module is in communication connection with the balance evaluation module and the tendency evaluation module; according to the method, evaluation samples of the power semiconductor device can be extracted, and evaluation modes of the power semiconductor device can be marked according to evaluation test results of different device types in an evaluation period, so that an acceleration model can be reasonably distributed in a next evaluation period.

The invention relates to a method for detecting six second-line antituberculous drugs by high performance liquid chromatography. The method comprises the following steps: providing an internal standard stock solution and a standard stock solution of six second-line antituberculosis drugs; preparing an internal standard working solution and a standard curve working solution by utilizing the diluent; preparing a solution of a product to be detected by using the Tianlongitudinal sample extraction liquid TZ-002; a liquid chromatograph is used for detection, and the conditions are as follows: a mobile phase A is a Tianlongitudinal sample releasing agent TZ-D004; a mobile phase B is acetonitrile; a mobile phase C is water; and gradient elution. According to the method, the plasma concentration of the second-line antituberculous drug taken by a tuberculosis patient is measured by applying the reversed-phase high-performance liquid chromatography, the cost is relatively low, the analysis time is short, the sensitivity is high, and the accuracy is high. The kit can be used for simultaneously detecting the blood concentration of six second-line antituberculosis drugs such as isopropylthioamide, levofloxacin, linezolid, moxifloxacin, deramanib and bedaquiline in human serum, and is expected to provide a more reliable basis for clinicians to adjust the dosage of the antituberculosis drugs.

The utility model provides an automatic powder scraping device and automatic moving equipment, and the automatic powder scraping device comprises a scraper which is arranged on a mounting seat and comprises a transverse blade extending in a first direction and a longitudinal blade extending in a second direction, and the first direction intersects with the second direction; the mounting seat is arranged on one side of the connecting plate and is coupled with the connecting plate; the first pre-pressing mechanism is arranged on the same side of the connecting plate and the mounting base, supports the mounting base in the first direction and provides buffering in the first direction; the second pre-pressing mechanism is arranged on the side, opposite to the mounting base, of the connecting plate, supports the connecting plate in the second direction and provides buffering in the second direction. According to the invention, full-automatic powder scraping can be realized, powder residues are reduced, the transfer rate after powder scraping is improved, and automation of sample extraction and preparation is facilitated.

The invention relates to a desulfurization slurry sulfite monitoring system and monitoring method. The monitoring system comprises a sample extraction device, a developing pool, a detection device, a liquid storage device and a control center, a light source, a sample pool and a detector are arranged in the detection device, and light emitted by the light source penetrates through a solution in the sample pool to reach the detector; the control center is in communication connection with the detector; desulfurization slurry is added into the sample extraction device, an extracting solution in the liquid storage device is added into the sample extraction device and the color developing pool, a shielding agent, a reaction solution and a color developing solution are added into the color developing pool, and the detector transmits absorption spectrum information to the control center. Compared with the prior art, the method has the advantages that the sulfite is fixed by the extracting solution, the measurement error caused by slurry oxidation is reduced, the content of the sulfite in the slurry is measured by adopting a spectrophotometric method after the sulfite reacts with the color developing agent, a measurement result can be directly obtained, characterization through a parameter relation is not needed, the operation is convenient, and the accuracy is high. And the measurement accuracy is high.

The utility model relates to a new pollutant water sample standing and separating device for environmental monitoring. The device comprises a base, a lifting assembly and a drainage assembly, a sample collecting barrel is placed on the base; the lifting assembly comprises a telescopic column and a supporting plate arranged on the telescopic column. The supporting plate and the base are arranged in parallel, and an original sample barrel is placed on the supporting plate; the drainage assembly comprises a hose and a U-shaped tube; the inlet end of the U-shaped pipe is placed in the original sample barrel, the outlet end of the U-shaped pipe is positioned outside the original sample barrel and communicated with the inlet end of the hose, the outlet end of the hose is communicated with the sample collecting barrel, and the hose is provided with a water absorption air bag. By adjusting the height of the supporting plate, a height difference is formed between the original sample barrel and the sample collecting barrel, and the water absorption air bag is pressed, so that a siphon effect is formed, supernatant liquid in the original sample barrel is sucked by the U-shaped pipe and is discharged into the sample collecting barrel through the hose, and the supernatant liquid can be continuously extracted from the original sample barrel. In the whole extraction process, standing is only needed once, so that the sample extraction time is shortened.

The invention provides a processing chatter signal feature sample extraction method and a chatter detection method and device, and belongs to the technical field of industrial signal processing, and the method comprises the steps: carrying out the optimization variational mode decomposition of an original processing chatter signal, and obtaining a plurality of IMF signal components; performing fusion index evaluation on the IMF signal components to obtain a quality score of each IMF signal component, and performing screening reconstruction on the IMF signal components according to the quality scores to obtain reconstructed signals; recursive hierarchical decomposition is carried out on the reconstructed signal based on a preset matrix operator to obtain a plurality of hierarchical node components, and singular spectrum entropy feature sample extraction is carried out on the hierarchical node components to obtain a feature sample data set; according to the method, weakening of short-time abrupt change features in signal segments is avoided through recursive hierarchical decomposition, local abrupt change features in signals are captured through singular spectrum entropy, sensitivity to short-time abrupt change or transient events is improved through combination of hierarchical decomposition and hierarchical singular spectrum entropy of singular spectrum entropy, and accurate feature samples are obtained.