363 results about "Sample extraction" patented technology

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.

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 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 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 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 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 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 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.

The invention discloses a method for establishing a fingerprint spectrum of radix astragali wall-broken decoction pieces based on an online liquid phase microextraction technology and application. According to the method, an on-line liquid phase microextraction-high performance liquid chromatography combined system is established, in the combined system, a mobile phase can directly perform microextraction on the radix astragali wall-broken decoction pieces, and substances obtained after microextraction directly enter a liquid chromatographic column to be separated and detected, so that the fingerprint spectrum of the radix astragali wall-broken decoction pieces is obtained. The method disclosed by the invention can be used for simply, conveniently and quickly detecting and analyzing the fingerprint spectrum of the radix astragali wall-broken decoction pieces, omits a sample extraction and preparation step, further reflects whether the material basis of the product is changed or not, evaluates the stability of a wall-broken decoction piece production process and the uniformity of batch-to-batch quality of the finished product, and improves the quality of the radix astragali wall-broken decoction pieces. And moreover, automatic detection can be realized through instrument setting, and the method is simple and convenient to operate, safe, economical and suitable for mass quality detection of the radix astragali wall-broken decoction pieces.

The invention discloses a combined determination method for the tin content of iron ore, which is characterized by comprising the following steps: drawing a calibration curve; selecting measurement parameters of an instrument; weighing a sample; sample melting: uniformly mixing the weighed sample with a mixed flux in a certain proportion, and melting in a muffle furnace; extracting a sample: extracting the fused sample by using hydrochloric acid, and fixing the volume for detection; and sample determination: determining by using an inductively coupled plasma emission spectrometer, determining the intensity value of each element by drawing a standard curve method, and calculating the final content of the element according to a calibration curve made by a standard solution. The invention aims to provide the combined determination method for the tin content of the iron ore, through experiments, the accuracy of determining the standard substance and the tin element of the tin-containing iron ore can be guaranteed, and through standard recovery experiments, the recovery rate is 95% or above. The method is used for production practice, and is an effective and practical method.

The invention relates to a method for detecting alkaloid compounds based on UPLC-MSMS (ultra performance liquid chromatography-mass spectrometry) and application. The method comprises the following steps: after a sample is extracted, detecting a sample extracting solution and a standard solution by adopting an ultra performance liquid chromatography-mass spectrometry combined method; a mobile phase adopted by the ultra-high performance liquid chromatography is as follows: a mobile phase A is an aqueous solution containing 0.1% of formic acid; the mobile phase B is an acetonitrile solution containing 0.1% of formic acid. According to the method disclosed by the invention, after the extracted tissue sample is subjected to liquid chromatography separation, the alkaloid metabolites are qualitatively and quantitatively detected in a targeted manner, and due to the high selectivity of the high-resolution mass spectrum, parameter optimization does not need to be performed on each metabolite.

The application discloses a kind of based on remote sensing cloud computing's regional desertification automatic monitoring method, comprising: obtaining target area time series multispectral remote sensing image, extracting vegetation index and surface albedo;Based on composite ground object identification rule, eliminate non-target ground object pixel, construct basic sampling pixel set;Based on spatial homogeneity verification mechanism, sample extraction effective fitting sample set;The sample set is segmented and is statistically processed and is regressed, extracts two-dimensional characteristic space's dry side equation and wet side equation;Calculate the spatial geometric relative distance of each reserved pixel to dry and wet double sides, combined with the out-of-bound physical constraint truncation mechanism processing obtains relative desertification difference index;Based on the index, divide desertification grade.The present application overcomes the defect that extreme value fitting is fragile and threshold generalization fails, and realizes high-precision automatic monitoring.

The application discloses a portable fungus metabolite activity screening integrated device, and belongs to the field of fungus metabolite activity screening, which comprises a supporting base, a sample extraction part arranged on the supporting base to place fungus dry powder, an extraction and purification part arranged on the supporting base and connected with the sample extraction part to take out the sample in the sample extraction part for purification, a suction head replacement part arranged on the supporting side plate to place the connecting suction head, so that the connecting suction head is new every time when the solution in the extraction and purification part is transferred, and a detection part arranged in the constant-temperature incubation cabin to detect the reacted solution. The synchronous rotation design of the sample disc and the purification disc, the precise pipetting of the mechanical arm and the automatic replacement of the suction head realize continuous pipeline operation, and manual operation of frequently transferring the sample and the reagent between different equipment in the traditional method is avoided.

The invention relates to the technical field of pesticide residue detection, in particular to a detection method for determining benfuracarb, carbosulfan and metabolites thereof, which comprises the steps of sample preparation and preservation, sample extraction, purification, standard working curve drawing and result calculation. An optimized QuEChERS pretreatment method is adopted, a citric acid buffer salt system is combined to adjust the pH value, a liquid chromatography-mass spectrometry / mass spectrometer is used for detection, and an external standard method is used for quantitative analysis. The method can effectively solve the problem that the target object is unstable under the acidic condition, simplifies the operation process, reduces the reagent consumption, is environment-friendly, enhances the detection applicability of the method in various matrixes, is suitable for rapid detection of large-batch samples, and has the characteristics of high efficiency, accuracy and environment friendliness.

This invention discloses a non-invasive biodiversity monitoring system for mammal species in an artificial ecosystem, comprising a first collection module for collecting and preserving eDNA samples from trees, a second collection module for collecting water samples, a third collection module for collecting soil samples, and an analysis module for monitoring the samples. The first collection module includes a water spraying component, a collection component, and a moving component. By actively spraying water near the tree trunk to flush away eDNA from the trees, and by using elastic clamps to surround the tree trunk to collect and guide the sample water flow, the system is finally filtered and preserved through a device integrated within the vehicle. This sampling and monitoring method expands the sample extraction range, enabling more accurate biodiversity monitoring.

The application relates to the technical field of face prediction, and is a face prediction model construction method, a face prediction method and related devices.The method comprises the following steps: acquiring a training set, a test set and a verification set; each sample in the training set, the test set and the verification set comprises genomics features and real facial morphology features; a training number is set; a preset artificial neural network model is trained multiple times according to the training number and the training set; a plurality of face prediction standby models corresponding to the training are obtained; the verification set is predicted by using the obtained plurality of face prediction standby models; the optimal parameters are selected; and a face prediction model is output. Compared with the prior art, the application is cleaner in sample extraction, the sample quantity is improved, the model prediction obtained through training is more accurate, and furthermore, the application adopts neural network modeling, and the test set and the verification set are used for evaluating and analyzing the face prediction model, so that the prediction accuracy and precision of the model are improved.

The invention provides a full-process automatic all-in-one machine for DNA extraction, amplification and sequencing. The full-process automatic all-in-one machine comprises a cabin body, the cabin body is internally provided with a first space, and the first space is internally provided with a biological sample extraction workbench for realizing the whole process of DNA extraction, amplification and sequencing; the top of the cabin is provided with an air inlet duct, the side surface or / and the bottom of the cabin is provided with an air outlet duct, and the air inlet duct and the air outlet duct form negative pressure in the cabin; an amplification area is arranged on the biological sample extraction workbench, a cooling base used for reducing pollutants generated in the amplification process is arranged in the amplification area, and an air suction plate is arranged on the side face of the amplification area; the air suction plate is communicated with the air outlet channel, and pollutants generated in the amplification area are discharged out of the cabin body through the air outlet channel. Pollutants generated in the cabin body can be effectively prevented from facing three positions outside from gaps or cabin door lamps of the cabin body, so that pollution to the surrounding environment is avoided, and the safety of biological experiments is further improved. In addition, the integrated cabin is provided, and the requirement for the operation space of the biological experiment is effectively reduced.

The invention relates to the technical field of computers, provides an information extraction method of a knowledge graph and computing equipment, and is used for effectively processing large-scale data so as to support construction of the knowledge graph. The information extraction method of the knowledge graph comprises the following steps: acquiring to-be-processed information; the to-be-processed information comprises to-be-extracted information associated with the object; based on the large language model and the guide information, extracting a triple from the to-be-processed information; the guide information is used for indicating a rule for describing the object and comprises at least one of the following items: a naming rule of an entity corresponding to the object, a naming rule of a category label of the entity, a connection rule between different entities and a sample extraction rule; the sample extraction rule comprises a rule for extracting a sample triple from the sample information; the triad is used for describing features of the object.

The application discloses a kind of on-line double-gradient pre-concentration detection methods of soil heavy metal ions based on microchip electrophoresis non-contact conductivity detection, including preparation of the analyte sample to be measured, preparation of high concentration buffer as background buffer, preparation of microchip, microchip electrophoresis process and the like steps.When testing, the background buffer contains 2-(N-morpholinyl)ethanesulfonic acid, L-histidine and electroosmotic flow inhibitor;The analyte sample to be measured contains sample matrix liquid and sample extraction stock solution.Among them, the sample matrix liquid is low-concentration buffer, and glacial acetic acid is used to reduce pH value.In testing, due to the existence of concentration gradient and pH gradient between the analyte sample solution to be measured and the background buffer, the ions to be measured in the sample will slow down and accumulate at the contact surface of the two during migration, realizing on-line pre-concentration, and improving the detection sensitivity of the ions to be measured.The application greatly improves the separation degree of multiple heavy metal ions, and effectively improves the detection sensitivity of heavy metal ions.

The utility model relates to the technical field of water quality detection, and discloses a water quality detection sample extraction device which comprises a barrel, first grooves are formed in the left end and the right end of the barrel, a second groove is formed in the front end of the barrel, a sliding rod is arranged at the top end of the barrel in a penetrating mode, and a plurality of pressing blocks are fixedly connected to the front end of the sliding rod. A plurality of moving blocks are slidably connected to the outer wall of the barrel, bolts are in threaded connection with the rear ends of the moving blocks, supporting rods are fixedly connected to the inner walls of the moving blocks, clamping blocks are connected to the top ends of the supporting rods through control assemblies, and fixing blocks are fixedly connected to the left sides and the right sides of the front ends of the moving blocks. The inner walls of the fixing blocks are connected with collecting boxes through clamping assemblies. According to the sampling device disclosed by the utility model, the position of the moving block on the cylinder body can be freely adjusted according to requirements to control the sampling depth and sample at different depths at the same time, and the collecting box can be automatically sealed after the sampling is finished to prevent the sample from being polluted.

The utility model relates to the field of marine product detection, and discloses a marine product detection sample extraction device which comprises a base for placing a marine product can, a push plate is slidably mounted on the base in a limiting manner, and a vertical conical rod is rotatably mounted on the push plate; a drill bit is fixedly mounted at the bottom end of the conical rod; a power mechanism for driving the push plate to slide up and down is arranged between the base and the push plate and is in transmission connection with the push plate; the cone rod is in transmission fit with the power mechanism through the linkage piece so as to drive the cone rod to rotate. According to the utility model, the drill bit is arranged at the bottom end of the cone rod, and the cone rod can rotate, so that the drill bit can drill an opening in a seafood can when puncturing the seafood can, thereby facilitating the subsequent insertion of the cone rod into the can in a sliding manner, reducing the pressure on the seafood can, facilitating sampling and preventing the seafood can from deforming; and liquid in the can cannot be squeezed out to pollute the environment.

The invention pertains to a device for determination of a catalyst state in a chemical reactor and to a method for detecting a catalyst state under in situ reaction conditions. A reactor is provided with a solid catalyst provided in a reactor chamber. A fluid sample is taken from the reactor chamber and is transferred to a sample chamber. The temperature at the extraction site of the sample in the reactor chamber is determined and the temperature of the sample chamber is adjusted to the same temperature. A small amount of the catalyst provided in reactor chamber is provided in sample chamber and is contacted with the sample flow. Spectroscopic information is then obtained on the catalyst provided in sample cell, e.g. by an IR spectrometer.

This invention belongs to the field of detection technology, specifically relating to a high-throughput fully automated sample extraction and calibration device. It includes a main body, on which are mounted an extraction unit, a colorimetric unit, a filtration unit, a volume calibration unit, and a pump. The extraction unit includes a displacement solution inlet assembly and an extraction component movably connected to the main body. The extraction component includes several stirring cups, each connected at its upper end to both the displacement solution inlet assembly and the pump. A filtration unit is installed directly below each stirring cup, and each filtration unit is connected to a colorimetric unit. The pump is also connected to a buffer bottle on the pipeline between the filtration and colorimetric units. Each colorimetric unit is connected to a volume calibration unit. This invention provides a fully automated sample extraction / ion exchange device capable of high throughput, high efficiency, high precision, and supporting closed-loop calibration of target analyte extraction. It features low manufacturing cost, stable structure, and simple operation.

The embodiment of the invention provides an adversarial verification evaluation method, system and device for a fault mode coverage capability boundary of a fault detection and diagnosis model. The adversarial verification evaluation method for the fault mode coverage capability boundary of the fault detection and diagnosis model comprises the steps that an obtained fault mode search domain is divided into at least two sub-domains, and the fault mode search domain is generated by a parameter combination used for describing a target equipment fault mode; determining a sample extraction number corresponding to each sub-domain in the current round, and extracting from the initial sample set according to the sample extraction number to obtain a corresponding target verification sample; processing the target verification sample through a fault detection model to generate a corresponding fault detection result; and based on the fault detection result and a preset evaluation index, verifying and evaluating the fault mode coverage capability of the fault detection model, and generating a corresponding verification and evaluation result.

The utility model discloses a sampler, which relates to the technical field of grain detection and comprises a frame, a track mechanism, a traveling mechanism, a rotating mechanism and a sampling mechanism, the track mechanism is fixedly arranged on the frame and extends along a first direction; the walking mechanism is slidably arranged on the track mechanism; the rotating mechanism is rotationally arranged on the walking mechanism; the sampling mechanism comprises a sampling framework and a sampling rod assembly, the sampling framework is fixedly arranged on the rotating mechanism, a rail groove extending in the length direction of the sampling framework is formed in the sampling framework, and the sampling rod assembly is arranged on the periphery of the sampling framework in parallel and arranged in the rail groove in a sliding mode. According to the technical scheme provided by the utility model, the problem that an existing sampling rod is easy to bend during sampling due to the fact that the sampling rod is hung on the rotating seat is solved.

This application relates to an integrated device for the extraction of biological components and cells through sieving, comprising a main body and a mixed-flow sieving module, a push-in module, an inlet / outlet module, and a lifting module disposed within a receiving chamber of the main body. The push-in module includes a push-in pump assembly and a push-in drive module. The push-in drive module drives the push-in pump assembly to pull and push, enabling the push-in pump assembly to cooperate with the mixed-flow sieving module for push-in mixing and graded filtration to obtain the target sample. After the target sample extraction is completed, the lifting module drives the mixed-flow sieving module and the push-in pump assembly connected to it to rise, causing the push-in pump assembly to detach from the push-in drive module. The inlet / outlet module then drives the mixed-flow sieving module forward, pushing the push-in pump assembly out of the outlet. After the pushed-out target sample is collected by the push-in pump, the inlet / outlet module drives the mixed-flow sieving module and the remaining push-in pumps to move backward back into the receiving chamber for removal from the opening at the top of the receiving chamber. This integrated device balances portability and functionality while improving safety during use.

The present invention relates to the field of network optimization technology, specifically to a network data management system based on intelligent traffic control, the system comprising: a traffic partitioning and sample extraction module that obtains time series information of network traffic and divides it into sub-traffic segments, filters data packets in the sub-traffic segments, and generates a load characteristic sample set based on the screening results. In the present invention, network traffic data is grouped and managed through the extraction of time series information and the division of sub-traffic segments, and the loads of its source nodes and target nodes are accurately marked and filtered, thereby generating more accurate load characteristic data and avoiding unnecessary data redundancy. In the calculation of the load weighted value, the multi-dimensional weight mechanism combining dynamic priority weights and traffic change amounts further improves the prediction accuracy of data stream loads, so that trend changes in subsequent time segments can be more scientifically predicted.