122 results about "Stratified sampling" patented technology

The invention discloses an offshore red tide multi-parameter real-time monitoring method and monitoring system based on a buoy array. The method comprises the following steps: S1, performing array deployment and topology configuration according to a sea area sensitivity degree, tide characteristics and a historical red tide trajectory; according to the invention, through risk differentiation buoy array deployment and redundancy topology, traditional isolated monitoring limitation is solved, and sea area full coverage and red tide diffusion tracking are realized; physical-chemical-biological multi-source sensing and in-situ detection are combined with data fusion, so that the problem of single parameter is solved, and the monitoring accuracy is improved; by means of liftable stratified sampling and in-situ algae species and toxicity analysis, the vertical monitoring blank is filled up, and the complete life cycle process of red tide from occurrence to regression is completely captured; through linkage of edge-cloud multi-model early warning and field equipment, a'monitoring-early warning-disposal 'closed loop is formed, and the red tide monitoring real-time performance and the emergency response capability are greatly improved.

The invention relates to the technical field of soil and underground water collaborative monitoring, and discloses a soil and underground water collaborative monitoring stratified sampling and field detection integrated system, which comprises a stratified sampling module, a field detection module, a collaborative data processing module and a central control module, the system is also integrated with an early warning feedback unit. Synergistic stratified sampling of soil and underground water is achieved through the stratified sampling module, samples at different depth layers are automatically obtained through a programmable depth control device and a multifunctional sampler, and meanwhile in-situ rapid detection is conducted by integrating a multi-parameter sensor and a spectral analysis unit through the field detection module. Key indexes are measured in real time, instant feedback and calibration of data are supported, and automation and data accuracy of the monitoring process are guaranteed; soil and underground water monitoring data are fused through the collaborative data processing module, and the risk early warning and decision support capability of the monitoring data is ensured.

The invention provides a method for analyzing and predicting the water stability of an asphalt mixture, which comprises the following steps of: acquiring multi-dimensional service environment, material composition and standard water stability test data, and carrying out standardization and stratified sampling division on the multi-dimensional service environment, the material composition and the standard water stability test data; a context sensing multi-layer perceptron network supporting feature parameter sharing and gradient accumulation is constructed, and the importance weight of each dimension of features under different data distributions is automatically evaluated and normalized. An attention mechanism and a graph convolutional network are introduced, association between features is quantified, and a key high-order interaction relationship is deduced; by means of K-fold cross validation and meta-learning optimization, the generalization ability of the model for new distribution data is improved, prediction accuracy and feature interpretation are improved, and intelligent analysis and proportion design of the water stability of the asphalt mixture are promoted.

The invention relates to the technical field of deep learning, in particular to an intelligent prospecting model construction method based on a knowledge graph and data deep learning, which comprises the following steps: collecting multi-source geological data to perform time decomposition and spatial stratified sampling to extract features, calculating an attachment weight through semantic coding to construct a geological knowledge structure, and constructing a geological prospecting model; the method comprises the steps of extracting spatial-temporal features in a convolution mode, combining with semantic deviation degree weighted fusion to generate a hierarchical feature coupling result, carrying out aggregation analysis on spatial-temporal correlation to extract consistent components, judging a metallogenic response relation through conditional probability reasoning, fitting a model, calculating deviation, adjusting weights, analyzing semantic consistency, and carrying out classification and aggregation to generate an intelligent prospecting optimization result. The feature precision is improved through time decomposition and spatial stratified sampling of multi-source geological data, data association is enhanced through semantic coding, time-space consistency is enhanced through convolution extraction and semantic fusion, multi-scale features are balanced through hierarchical coupling, the ore-forming relation judgment accuracy is improved through probabilistic reasoning, and the result precision and stability are remarkably improved.

The utility model discloses a water quality stratified sampling device which comprises a plurality of outer sleeves in threaded connection, a plurality of sampling barrels which are rotationally arranged in the outer sleeves and are in one-to-one correspondence with the outer sleeves, a rotating handle for driving the sampling barrels to rotate, and a lower-layer sealing cover arranged at the bottom of the outer sleeve at the lowest end, the upper end and the lower end of the outer sleeve are open, a water inlet is formed in the side wall of the outer sleeve, a sampling opening corresponding to the water inlet is formed in the side wall of each sampling barrel, the outer wall of each sampling barrel is tightly connected with the inner wall of the outer sleeve, a cross-shaped inserting plate is arranged at the upper end of each sampling barrel, a cross-shaped inserting groove matched with the cross-shaped inserting plate is formed in the lower end of each sampling barrel, and the sampling barrels are connected end to end. The stratified sampling device has the beneficial effects that the device is simple in structure and relatively convenient to assemble and disassemble, and the stratified sampling effect can be realized through a plurality of flexibly assembled outer sleeves and sampling barrels according to the sampling requirements of water quality at different depth levels.

The utility model discloses a depth-adjustable seawater quality sampling device which comprises a submersible, a remote control module and a positioning module are arranged in the submersible, the depth-adjustable seawater quality sampling device further comprises a sampling mechanism, and the sampling mechanism is arranged on the submersible; according to the depth-adjustable seawater quality sampling device, through the first remote ball valve and the second remote ball valve, on-off of water flow can be accurately controlled, the water flow can be conveniently controlled at different stages, then the internal pressure of the sampling shell is controlled, and through cooperation with the one-way valve, water flow backflow can be prevented, and it is guaranteed that seawater flows in the preset direction; according to the invention, mixing of water samples at different depths is avoided, the sampling accuracy is ensured, the underwater propeller rotates to generate water flow, and the first one-way drainage valve is matched, so that the previously stored relatively shallow sea water can be drained to the outside, stratified sampling of sea water at different depths is facilitated, and the sampling accuracy is further improved.

The utility model relates to the technical field of chemical engineering, in particular to a liquefied gas stratified sampling device which comprises a spherical tank, a closed sampling box, a tank inlet pipeline, a radar liquid level meter director pipe, a sampling pipeline outside the tank, a first branch line, a second branch line and a third branch line, the closed sampling box is arranged outside the spherical tank; the tank inlet pipeline is connected with an inlet of the spherical tank; the radar liquid level meter director tube is directly inserted into the spherical tank through a radar liquid level meter at the top of the spherical tank, and an upper liquid level sampling tube, a middle liquid level sampling tube and a lower liquid level sampling tube are sequentially arranged at the upper position, the middle position and the lower position of the radar liquid level meter director tube. An upper sampling pipeline, a middle sampling pipeline and a lower sampling pipeline are installed in the tank, an operator takes materials in the tank through a closed sampler at the upper point, the middle point and the lower point for real-time test and analysis, and the qualified product leaves a factory.

The invention discloses a variable grid group state monitoring method, system and device and a medium. The method comprises the steps that multi-dimensional climate data are collected, and joint feature representation is generated through association fusion; obtaining the influence degree of each climatic factor parameter and the operation parameter of the power distribution network through multi-dimensional stratified sampling; constructing a meteorological power grid coupling index matrix, and obtaining node vulnerability; constructing a variable network group vulnerability thermodynamic diagram; generating a variable grid group load curve by comparing the correction deviation; and generating a variable grid group state monitoring report. According to the method, multi-dimensional climate data is associated and fused to generate joint feature representation; obtaining the influence degree of each climatic factor parameter change on the operation parameters of the power distribution network through multi-dimensional stratified sampling, and constructing a meteorological power grid coupling index matrix to obtain node vulnerability; finally, a variable grid group state monitoring report is generated, the problems of fixed grid deviation and centralized processing lag are solved, the monitoring accuracy and timeliness are improved, and scientific decision support is provided for power grid operation and maintenance.

The invention relates to a melamine identification method of 1D-VDCNN-BiLSTM fused with attention characteristics, and belongs to the field of identification of melamine in food. The method comprises the following four stages: 1) sample data division and preprocessing: completing preprocessing of sampling data: preprocessing a sample set by adopting a KS method; (2) constructing a one-dimensional ultra-deep convolutional neural network (1D-VD-CNN): improving a two-dimensional CNN model into the 1D-CNN for melamine one-dimensional data, and then adding an ultra-deep VD structure to construct the one-dimensional ultra-deep convolutional neural network (1D-VD-CNN); 3) structural design of a bidirectional long short-term memory network (BiLSTM); and 4) constructing a melamine identification model fused with the attention mechanism, and training, verifying and testing the model. Wherein the data classification is changed into layered sampling from traditional pure random sampling. By establishing a novel melamine identification method with high precision and strong interpretability, intelligent technical support is provided for food safety risk prevention and control.

This invention provides a method for high-speed train bearing fault diagnosis and selection based on multi-model comprehensive evaluation. The method first obtains bearing fault feature vectors, then divides the training and test sets using 8:2 stratified sampling, mitigating sample imbalance bias through a sample weighting strategy. Next, it constructs a diagnostic system comprising five models, including random forest and support vector machine, and employs optimal hyperparameters for parallel training. Subsequently, a multi-dimensional evaluation system for accuracy and efficiency is established, and model reliability is verified using a confusion matrix. Finally, model selection is tailored to specific scenarios: multilayer perceptrons are used for real-time monitoring, gradient boosting trees for high-precision scenarios, and random forests or K-nearest neighbors for lightweight deployment. This achieves scientific multi-model selection, balancing diagnostic accuracy, real-time performance, and stability, adapting to the maintenance needs of high-speed trains, and demonstrating strong engineering practicality.

The invention discloses an arid region underground water detection stratified sampling device, and belongs to the technical field of water quality detection, the arid region underground water detection stratified sampling device comprises a sampling barrel, at least two sealing assemblies are arranged in an inner cavity of the sampling barrel, a plurality of stratified sampling cavities are formed through the sealing assemblies, sample separation barrels are arranged in the stratified sampling cavities, and a plurality of sample separation boxes are arranged in the sample separation barrels in a surrounding manner; a trigger assembly is arranged on the inner side of the sample separation barrel corresponding to the sample separation box. According to the invention, through the designed expansion liquid bag, a medium can be fed into the expansion liquid bag through external pumping equipment, the expansion liquid bag can expand after liquid injection, the expansion liquid bag is unfolded to seal the opposite spaces on the two sides of the sampling barrel, a multi-partition layered sampling structure can be formed, and the sampling efficiency is improved by sealing different partitions. Compared with a traditional sampling mechanism with a single sampling cavity and valve switching, mixing of water at different layers can be avoided, and the sampling data precision is improved.

The application provides a soil monitoring sampling method, system, device and medium, the region to be monitored is divided into grid by spatial position and historical soil information, forming a candidate sampling unit with spatial correlation, in each candidate sampling unit, the physical parameters representing the state of the soil surface and shallow layer are collected, and a high-dimensional feature vector is generated; based on all high-dimensional feature vectors, a dynamic sampling priority scoring model reflecting the degree of spatial difference of soil is constructed, and a target sampling unit is determined; a depth stratified sampling strategy is performed on the target sampling unit, the sampling depth interval is adaptively determined, and then a representative soil sample is obtained; the soil sample is associated with the corresponding spatial position, sampling depth and soil state information, and structured soil sampling data is generated. The scheme of the application can realize the spatial-depth joint optimization of soil sampling, and accurately capture the real state and spatial variation law of the soil environment.

The invention provides a water pollution detection device and a detection method for geological environment investigation, belongs to the field of water pollution detection, and aims to solve the problems of complicated operation and cross contamination of samples during underground water stratified sampling. Comprising N fixed sleeve units, a fixing mechanism, N sampling pipes, a switching mechanism, N filling mechanisms, N detection mechanisms, a suction pipe and a suction mechanism, and N is greater than 1; by arranging a plurality of fixed sleeve units and sampling pipes, and matching with a sealing piece and a switching mechanism, independent sampling at different depths can be realized, so that sample mixing among different water layers is effectively prevented, and the accuracy and representativeness of a detection result are ensured; through cooperation of the elastic piece and the fixing mechanism, the device can be tightly attached to the wall of a drill hole to adapt to different hole diameters and geological conditions, meanwhile, the suction mechanism can discharge liquid in the downward exploration process, and downward exploration resistance and disturbance are reduced.

The utility model belongs to the technical field of oil sampling, and discloses a sampler for offshore oil exploitation, which comprises a sampling mechanism, a sampling mechanism and a control mechanism, the stratified sampling assembly comprises a sampling barrel, three layers of sample cavities are formed in the sampling barrel, three sets of electric valves communicated with the three layers of sample cavities are installed on the outer side of the sampling barrel, and three sets of pumping pipes used for pumping petroleum samples in the sample cavities are arranged on the outer side of the sampling barrel; compared with the prior art, the stratified sampling device has the following beneficial effects that the stratified sampling assembly is designed and is connected with the hanging ring through the mooring rope, so that the sampler can be lowered into a vertical sampling pipeline, when the sampler reaches a first sampling layer, a group of electric valves are opened, and under the action of pressure difference and gravity, a petroleum sample of the layer flows into a corresponding sample cavity to complete collection; the first sampling layer continues to be lowered after collection, and the other two sets of electric valves are opened when the first sampling layer reaches other preset sampling layers, so that stratified sampling of petroleum in different depth layers is achieved.

The utility model relates to the technical field of geological sample sampling devices, and discloses a geological stratified sampling device for geological mining, which comprises a movable base provided with a central hole, and a limiting ring rotatably connected in the central hole; the sampling barrel selectively penetrates through the central hole; the telescopic sleeves are sequentially connected in a sliding mode from the outer side to the inner side in the vertical direction, the telescopic sleeve on the outermost side is connected with the inner side wall of the limiting ring in a sliding mode, the inner side wall of the telescopic sleeve on the innermost side is connected with the sampling barrel in a sliding mode, and the sampling barrel can drive the telescopic sleeve on the innermost side to synchronously move downwards. And then the multiple sections of telescopic sleeves from the inner side to the outer side are driven to be sequentially embedded in the drill hole. The sampling barrel can drive the telescopic sleeve on the innermost side to synchronously move downwards, then the multiple sections of telescopic sleeves are driven to be sequentially embedded in a drill hole, collapse of the drill hole is avoided, and layered multi-time sampling of stratums with different depths is achieved.

This utility model provides a stratified sampling device for marine environmental surveys, relating to the field of marine environmental sampling equipment. It includes: a base plate with a rectangular notch on the front of its upper end face; a winding mechanism mounted on the rear of the upper end face of the base plate, with a flexible rope wound onto the winding mechanism; and a collection bottle connected to the flexible rope via a C-shaped connector and a fixing bolt. This utility model, through the cooperative design of the anti-loosening component and the locking gear, can lock and limit the locking gear and the fixing bolt, preventing the fixing bolt from loosening under stress, thus improving the stability of the collection bottle on the flexible rope and avoiding affecting the reliability of the stratified sampling device. It solves the problem in existing stratified sampling devices where, although the collection bottle can be fixedly connected to the flexible rope via fixing bolts, the fixing bolts are prone to loosening in dynamic marine environments, leading to a decrease in the stability of the collection bottle on the flexible rope and affecting the reliability of the sampling stratified sampling device.

This invention relates to the field of sampling device technology and discloses a stratified groundwater sampling device, including a sampling tube, and further comprising: a cylindrical component, a sliding component, multiple baffle plates, and multiple sliding rods. The cylindrical component is fixedly connected to the middle of the sampling tube with their center lines coinciding. The sliding component is slidably connected inside the cylindrical component, and its upper end is pulled by a pulling component and uniformly fitted and fixed to the outside of the cylindrical component. Each baffle plate divides the cavity between the cylindrical component and the sampling tube into multiple water storage cavities of the same size. Multiple sliding holes are formed through the middle of the baffle plate along its circumference. The bottom of each sliding hole has a water filling hole communicating with the water storage cavity. Multiple sliding rods are slidably connected to each sliding hole in a corresponding manner. Sealing plugs are fitted and fixed to the portions of the sliding rods near the sampling tube and the cylindrical component. One end of each sliding rod extends into the cylindrical component, and a reset component is connected to the sliding rod within the sliding hole. This invention enables continuous underwater stratified sampling of groundwater at different depths.

The utility model relates to the technical field of grain and oil sampling, in particular to a grain and oil detection sampling device with a multi-stage collection function, which comprises a sampling barrel, an inner rotating groove is formed in the sampling barrel, an outer rotating groove is formed in the outer side of the top end of the sampling barrel, and a conical insertion head is fixedly connected to the bottom surface of the sampling barrel. A feeding port is formed in the outer side of the sampling barrel, a limiting ring is fixedly connected to the outer side of the sampling barrel, and a discharging pipe is arranged on the outer side of the sampling barrel. Multi-depth stratified sampling is achieved by rotating the adjusting head, the sampling opening is aligned with the feeding opening by rotating the adjusting head, the limiting plug pin is inserted into the limiting hole to fix the position, grain is lifted and discharged through the spiral conveying blade, and when the adjusting head is rotated again, the limiting plug pin slides out along the curved surface and rotates to the next limiting hole to be locked. The positions of the sampling ports are switched to complete deep sampling, and continuous and layered collection of full-depth grains is realized through dynamic matching of the sampling ports at different angles and the feeding port.

The invention discloses a global cultivated land mapping method based on coupling prior knowledge and a weak supervised learning strategy. A stratified sampling strategy is established based on a simulated annealing algorithm, a set number of primary selection grids are divided in an overlapping region of a global cultivated land data set, and an optimal screening grid is screened out through the simulated annealing algorithm; further selecting representative punctiform cultivated land samples and punctiform non-cultivated land samples in each optimal screening grid through a simulated annealing algorithm; expanding the sparse point sample set into a planar sample set by using an integrated learning method; nDVI time sequence image data and six kinds of global cultivated land data products are used as input data sources, cultivated land and non-cultivated land prediction results of the planar sample set are used as training labels, U-Net model training is carried out, and global cultivated land mapping is completed. According to the method, a robust high-precision mapping method is provided for various global cultivated land recognition by using a deep learning model and various prior knowledge.

The utility model discloses a quantitative stratified sampler for surface soil, which relates to the field of soil sampling and comprises a square cutting ring. A push plate is movably installed in the square cutting ring, a fixing cylinder is fixedly installed at the top of the square cutting ring, a lifting rod is slidably installed in the fixing cylinder, the bottom of the lifting rod extends into the square cutting ring and is movably connected with the push plate, and scale marks are arranged on the lifting rod. A plurality of positioning grooves are formed in the portion, located in the fixing cylinder, of the lifting rod, positioning assemblies matched with the positioning grooves are arranged on the fixing cylinder, a pair of guide rods is movably installed on the fixing cylinder, and the bottoms of the guide rods penetrate through the square cutting ring to be fixedly connected with the push plate; the top of the guide rod is fixedly provided with a pressing assembly, and the technical problems that an existing soil sampling device is not easy to control the depth of being inserted into soil, cannot perform quantitative stratified sampling on the soil, is inconvenient to eject a soil sample and the like are effectively solved.

This utility model discloses a soil sampling device for ecological restoration with stratified sampling capability, relating to the field of soil sampling technology. It includes: a main body of the sampling device, with a rotatable shaft inside; a sampling ring fixedly installed at the bottom of a sampling cylinder, with an opening on one side; the sampling ring having a V-shaped cross-section; and a sampling basin rotatably installed on the top of a plug and located inside the sampling cylinder, with the top of the sampling basin's center fixedly connected to the bottom of the shaft. This utility model, through the rotation of the shaft, drives the sampling basin, partition, and scraper to move. The scraper moves, scraping soil from the opening of the sampling ring into the sampling basin. The partition separates each sampled soil, thus achieving the effect of convenient and efficient multiple sampling of hard soil, avoiding substandard sampling due to excessively hard soil, thus avoiding multiple samplings and wasting labor, and improving sampling efficiency.

The utility model discloses a stratified sampling device for geological exploration, and relates to the field of geological exploration equipment. The stratified sampling device for geological survey comprises a support, and further comprises a first electric telescopic rod, a second electric telescopic rod and a sampling device, the mounting frame is connected to the telescopic end of the first electric telescopic rod; a plurality of through holes are formed in one side of the mounting frame at equal intervals; through cooperative use of the support, the first electric telescopic rod, the installation frame, the driving assembly, the multiple sampling barrels and other components, after drilling operation on a designated position is completed, the device can be used for sampling soil layers at different depth positions in a drilled hole at the same time; compared with the mode that soil layers with different depths in a drilled hole are manually sampled respectively in the prior art, the device can sample the soil layers with different depths at a time, repeated sampling is not needed, the workload of workers can be reduced, and the stratified sampling efficiency is greatly improved.

The utility model provides a kind of hydraulic engineering geological survey sampling device, it is related to hydrogeological engineering survey technical field, including cylinder, by coaxial setting upper sampling cavity, middle sampling cavity and lower sampling cavity constitute three-dimensional sampling space;Negative pressure source, it is communicated to each sampling cavity, directional negative pressure is formed when sampling.The utility model can realize high-precision stratified sampling without cross-contamination, by orthogonal distribution upper, middle and lower water inlet channel, make the water body of different depth in geological survey stationary surface water along independent path into corresponding sampling cavity, completely avoid interlayer mixing from physical structure, ensure stratified data authenticity;The utility model can optimize fluid flow, guarantee sample integrity and representativeness, the horn-shaped water inlet of anti-turbulence cover reduces flow velocity, combined with spiral guide flow channel, convert turbulent flow into stable laminar flow, reduce bubble disturbance and particulate matter settlement, significantly improve the originality of sample, meet high-precision water quality analysis demand.

The invention provides an SEU stratified sampling fault injection simulation method and system, and the method comprises the steps: carrying out the propagation path analysis of a register unit list, an observation point list and a security mechanism list, obtaining the importance of each register unit, carrying out the sorting from high to low, and obtaining a register importance sorting table; layering the register units according to the register importance sorting table, and determining the sampling proportion of each layer; performing spatial dimension stratified sampling on the sampling proportion of each layer to obtain an extracted register unit, and taking an output signal of the extracted register unit as a fault injection position; determining a time point of fault injection; enabling the fault injection position and the fault injection time point to be orthogonal, and obtaining an SEU fault injection list; then executing fault injection simulation to obtain a simulation result; calculating an SEU fault failure probability and a security mechanism diagnosis coverage rate according to a simulation result; and the simulation efficiency and accuracy can be greatly improved.

The invention relates to the technical field of site investigation, in particular to a multi-depth stratified sampling well building method which comprises the following steps: S1, drawing a circle on a polluted site, and drawing a first sine curve along the flow direction of underground water of the polluted site; s2, drawing a branch line and a second sine curve along the wave crest or wave trough direction of the first sine curve; s3, well building is carried out with the circle center, the wave crest or wave trough of the first sine curve and the intersection point of the second sine curve and the second x axis as well building point positions, and well building is completed; according to the well building method, the main line is arranged in the underground water flow direction with the circle center of the polluted site as the starting point, the branch lines extend in the vertical direction, a three-dimensional space monitoring network is formed, diffusion paths of pollutants in the main flow direction and the lateral direction can be synchronously tracked, and the well building method is particularly suitable for accurate description of pollution plumes in a heterogeneous aquifer.

The invention relates to a method and a system for evaluating potential of conversion from a patent to a technical standard based on feature interaction. The method comprises the following steps: acquiring original data of a to-be-evaluated patent and corresponding technical standard data; screening features having significant influence on a prediction result from a technology association dimension, a patent maturity dimension, a standard demand dimension, a technology influence dimension and an application scene dimension; preprocessing the features according to the feature types; constructing a feature interaction item for capturing the influence of the multi-feature joint effect on the patent transformation potential, and adding the feature interaction item into the preprocessed features; constructing a transformation potential prediction model based on XGBoost, and obtaining a convergent transformation potential prediction model through data division based on stratified sampling, class imbalance processing and iterative training; and inputting the features with the feature interaction items into the convergent transformation potential prediction model to obtain a transformation potential evaluation label, and realizing patent-to-technical standard transformation potential evaluation of the to-be-evaluated patent.

The utility model relates to the technical field of monitoring and sampling, and discloses an environment-friendly monitoring and sampling device which comprises a first sampling rod, a second sampling rod is slidably connected to the interior of the first sampling rod, first mounting frames are fixedly connected to the two sides of the first sampling rod, second mounting frames are fixedly connected to the two sides of the second sampling rod, and the second mounting frames are fixedly connected to the two sides of the first sampling rod. And collecting tanks are slidably connected to one sides of the two first mounting frames and one sides of the two second mounting frames correspondingly, sealing covers are clamped to the upper ends of the collecting tanks, fixing frames are fixedly connected to the two sides of the upper ends of the collecting tanks correspondingly, and springs are fixedly connected to one sides of the two fixing frames correspondingly. When the device is used for stratified sampling of a water body at different depths, the sampling device does not need to be repeatedly used for stratified sampling, so that the working intensity of stratified sampling of the water body is greatly reduced, and the sampling working efficiency is improved.

Embodiments of the present application provide a data processing method and device, electronic equipment and computer storage medium. The data processing method comprises: determining at least two sets of data to be analyzed and corresponding set logical operation operations according to a received data analysis request; obtaining at least two sampling sets corresponding to the sets of data to be analyzed, the sampling sets being obtained by uniformly stratified sampling and KMV sampling of mapping values of the data to be analyzed in the sets of data to be analyzed; determining a target mapping value that meets a set condition from the maximum mapping values of the sampling sets; performing the set logical operation operations on the sampling sets, and determining an analysis result according to the set logical operation result, the target mapping value and a sampling ratio of the uniformly stratified sampling. The method is fast in analysis and small in computing power burden.

The invention discloses a multi-depth water quality stratified sampling device, relates to the technical field of water quality sampling, and aims at solving the technical problem that current multi-depth water quality sampling operation is tedious and time-consuming. The multi-depth water quality stratified sampling device comprises a lifting mechanism and a sampling mechanism connected to the lifting mechanism; the sampling mechanism comprises a rotating assembly arranged at the tail end of the connecting rope and a sampling assembly for sampling; the sampling assembly comprises mounting rods arranged at the bottom end of a rotating pipe in an array manner and sampling barrels arranged at the tail parts of the mounting rods. According to the present invention, the array type sampling barrel is matched with the rotating assembly, the motor drives the unwinding disc to automatically wind and unwind the connecting rope, the electric push rod controls the rotating pipe to rotate so as to sequentially open the sampling barrel, the sealing assembly prevents leakage, the extrusion member is accurately opened and closed, the filter cover guarantees the sample purity, and the multi-depth sampling can be completed through the single lowering; and the sample is pure and accurate.

The invention relates to a stratified sampling pipe for sampling river sediment and a use method thereof. The device is suitable for the technical field of river sediment sampling. According to the technical scheme, the sampling device comprises a sampling barrel which is of a semi-cylindrical structure, a mud drilling base is arranged at any end of the sampling barrel, a mud drilling opening is formed in the mud drilling base, a plurality of sampling observation openings are formed in the inner side wall of the sampling barrel in a penetrating mode, and a protection part covering the sampling observation openings is detachably arranged on the outer side wall of the sampling barrel; the half pipe is of a semi-cylindrical structure and is detachably mounted on the mud drilling base, and the half pipe and the sampling barrel are matched to define a cylindrical barrel body; the adjusting assembly is arranged at the end, away from the mud drilling base, of the cylindrical barrel in a sleeving mode and used for locking the half pipe and the sampling barrel; the non-return assembly is arranged in the mud drilling opening of the mud drilling base, can open the mud drilling opening to enable the mud sample to enter the cylindrical barrel when the mud drilling opening is inserted downwards, and can close the mud drilling opening when the mud drilling opening is lifted upwards to prevent the mud sample in the pipe from flowing back; and the sampling assembly is matched with the sampling observation opening in an inserting manner.