125 results about "Proportional Stratified Sampling" patented technology

The invention provides an artificial intelligence auxiliary antenna design method based on a Gaussian regression process, and the method comprises the steps: employing a script interface to interact with a simulation platform, automatically completing the parameterized modeling process of an antenna model, and setting an excitation condition and a radiation boundary; a multi-dimensional space stratified sampling method is adopted to generate a uniformly distributed sample point set in the multi-dimensional parameter space, and electromagnetic simulation is carried out; preprocessing the data output by simulation to form a data structure suitable for machine learning model processing; integrating the trained MLNN model into a grey wolf optimization algorithm, and optimizing antenna design parameters; and performing electromagnetic simulation on the optimal parameter obtained by optimization, comparing a prediction result with actual simulation data, and verifying the performance of the optimization engine in the target frequency band. According to the method, the problems of insufficient sample generation efficiency, insufficient parameter sensitivity analysis, limited model generalization ability, low convergence speed of an optimization algorithm and the like in the prior art can be solved.

The invention relates to the field of water resource quality detection, in particular to a sampling device for water resource quality detection. The invention provides a water resource quality detection sampling device which comprises a sampling barrel, a barrel cover is arranged at an opening of the sampling barrel, clamping seats are symmetrically distributed on one side, close to the barrel cover, of the sampling barrel, clamping pins are arranged in the clamping seats, the barrel cover is locked through cooperation of the clamping pins and the clamping seats, and the sampling barrel is connected with the clamping seats. A plurality of sampling box bodies for containing water samples are vertically arranged in the sampling barrel, a water pump is arranged in the sampling barrel, and a water inlet pipe of the water pump extends to the outer side of the sampling barrel. The stratified sampling box body and the independent flow guide assembly are combined with the servo motor to drive the staggered box cover, so that accurate stratified collection of water samples at different depths is realized, and mixed pollution is avoided; a water flow switching assembly is additionally arranged, a pipeline is automatically flushed after sampling, a residual water sample is discharged into a liquid storage box, cross contamination is reduced, independence and representativeness of the water sample are guaranteed, and detection accuracy is improved.

The invention belongs to the technical field of geological exploration, particularly relates to a high-adaptability multi-type geological exploration sampling device and an accurate sampling method.The high-adaptability multi-type geological exploration sampling device and the accurate sampling method aim to solve the problems that a drill bit is stuck and stratified sampling is difficult, and the high-adaptability multi-type geological exploration sampling device comprises a base, a vertical plate, a lifting plate and a driving cylinder with the drill bit; a first annular groove is formed in the outer wall of the driving cylinder and matched with the first circular ring, downward-pressing drilling and upward-lifting resetting of the drill bit are achieved, a second annular groove is formed in the drill bit, and the flow direction of hydraulic oil is controlled through a second circular ring connected with a fixing rod; during lifting, hydraulic oil is injected into the second hydraulic channel, the trapezoidal collecting box extends out to scrape hole wall samples, the electromagnet and the iron block are matched to adjust the position of the second circular ring, the working states of the teeth and the collecting box are switched, drill bit jamming is reduced, hole wall sampling at any depth is supported, and exploration efficiency is improved.

This invention provides an in-situ stratified rapid sampling device and method for river and lake sediment pollution, relating to the field of river and lake sediment pollution monitoring technology. The device includes: a main control system, a main sampling system, a mounting frame, a depth sounding module, a working vessel hull, and a crane. The depth sounding module is installed below the stern of the working vessel hull. The main control system and the crane are both mounted on the working vessel hull. The main sampling system is connected to the crane and fixed within the mounting frame. The depth sounding module is used to detect and determine water depth and the thickness of floating mud, flowing mud, and silt. The main control system is used to control the sampling process of the main sampling system and to read the water depth, sediment thickness, and determine whether the main sampling system has completely inserted into the sediment in real time. The main sampling system is used to insert into the sediment to perform stratified sampling of the sediment pore solution. This invention solves the problems of low sampling rate, inability to perform stratified sampling, deviation between stratified sediment samples and actual conditions, low efficiency, and large errors in detection results in existing technologies.

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 an eDNA method for identifying bumblebee honeycombs in permafrost regions of Qinghai-Tibet Plateau. The eDNA method comprises the following steps: S1, positioning observation sample belts and arranging sampling points on the basis of multi-source data in combination with a Bayesian hierarchical model; s2, performing deep freezing and complete excavation on matrixes around and inside all the sampling points; s3, stratified sampling and anti-degradation treatment are carried out, and a spatial attribute database is established; s4, extracting and purifying eDNA (enhanced deoxyribonucleic acid); s5, determining a nest host based on PCR amplification, high-throughput sequencing and sequence comparative analysis; and S6, constructing a Bayesian hierarchical model in combination with biological information, and judging honeycomb characteristics. The method is simple, rapid and low in cost, not only is suitable for Qinghai-Tibet Plateau permafrost regions, has the core advantages of non-destructiveness and high sensitivity, but also is also suitable for underground insect nest identification research in other environment sensitive regions or regions difficult to physically explore in principle, and has wide application prospects. The method is especially suitable for monitoring rare, secret or difficult-to-approach organisms.

The invention discloses a time sequence coal reservoir permeability prediction method based on improved deep learning, and belongs to the technical field of coal bed gas exploration and development and deep learning. According to the method, standardized preprocessing is performed on logging data, a time sequence sample is constructed by using a sliding window, stratified sampling is introduced to optimize K-fold cross validation, and an AdamW optimizer is adopted to train a double-layer LSTM network, so that the problems of low precision and poor generalization ability of a traditional prediction method are effectively solved. Experimental results show that the method can accurately capture the time sequence characteristics of the logging data, data balance is ensured through stratified sampling, overfitting is inhibited in combination with weight attenuation, and the prediction result has high stability and reliability.

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 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 discloses a crop disease severity dynamic estimation method and system based on multi-scale fusion, provides a spatial stratified sampling strategy, realizes refined partitioning based on growth potential difference and disease risk clustering, ensures that sampling points cover field key areas, and meanwhile, improves the accuracy of crop disease severity estimation. The dynamic time compensation sampling strategy is combined with the field disease development situation and environmental factor self-adaptive adjustment sampling to provide high-quality and dynamic data support for estimation; multi-source features such as scab quantity and edge roughness are introduced into the leaf scale to describe scab morphology and development difference in a fine granularity manner, and the plant scale is fused with weights such as leaf space position to highlight contribution of functional leaves and key leaves to the health of the whole plant; the spatial distribution pattern of the field diseases is effectively reflected by combining the field scale with the growth potential partition weight, the risk partition weight, the health degree and the like of the plants, and finally, the constructed dynamic time integral model is fused with the propagation rate and the fertility sensitivity to obtain a dynamic comprehensive estimation result of the accumulated influence of the diseases in the monitoring period.

The invention discloses a multi-scale time sequence prediction system and method for adaptive hierarchical frequency, which realizes standardized processes of data preprocessing, dynamic hierarchical sampling, frequency attention modeling, cross-scale attention fusion and prediction output through modular architecture design, is clear in interface between modules, is easy to deploy and expand, and is high in practicability. The problem of non-uniform system architecture in the prior art is solved; in the dynamic stratified sampling step, through region division and dynamic sampling rate distribution, adaptive matching of a down-sampling rate and a local frequency characteristic of a non-stationary sequence is realized; in the frequency attention modeling step, through frequency domain conversion and attention weight distribution, the sensitivity of the system to periodicity and frequency characteristics is enhanced, and key frequency components can be focused according to prediction task requirements; according to the cross-scale attention fusion step, through feature dimension unification and cross-scale correlation calculation, the dependency among the scale features is effectively modeled, redundant information is filtered, and the fusion efficiency and the prediction precision are improved.

The utility model discloses a stratified sampling device which comprises a sampling outer pipe structure, a sampling inner pipe structure is movably inserted into the upper end opening of the sampling outer pipe structure, a torsion spring is connected between the sampling outer pipe structure and the sampling inner pipe structure, and the upper end opening of the sampling inner pipe structure is fixedly connected with a collecting structure in a spiral mode. The sampling outer tube structure comprises an outer sampling tube, a plurality of outer sample inlets and a lower handle, the outer sample inlets are formed in the surface of the outer sampling tube, and the outer sample inlets are uniformly distributed in the surface of the outer sampling tube. According to the stratified sampling device disclosed by the utility model, during sampling, the stratified sampling device only needs to be automatically loosened after being screwed by 90 degrees, then automatically returns under the elastic force of the torsional spring, and accurately seals the end opening of the outer sample inlet, so that the operation is simpler, the sampling is faster, and in addition, through a collecting structure, the sampling efficiency is improved. Sampled samples can be rapidly collected, and multi-point rapid sampling can be achieved.

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.

The invention discloses a power distribution network fault probability and recovery time quantitative evaluation method and system under extreme weather. The method comprises the steps that a power distribution network limit state function is constructed, and the failure probability of a component under the influence of aging and wind speed is evaluated in combination with a stratified sampling method; a three-pole system failure model is adopted to quantify dependency between poles, and the pole failure probability is calculated in combination with binomial distribution; the overhead line is segmented, and the lead failure probability is calculated through the line pole series model; the waiting time, the arrival time and the response time are calculated, and the total repair time is calculated in combination with the repair time; calculating the vulnerability rate and the recovery rate of the power system component so as to evaluate the toughness of the power distribution network in different aging states; the system also comprises an assembly wind resistance capability evaluation module, a system failure probability calculation module, a recovery time calculation module and a toughness index quantification module. The accuracy of fault probability and recovery time estimation is remarkably improved, the influence of extreme weather on recovery efficiency can be better reflected, and more scientific emergency response and resource allocation are supported.

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.

The utility model discloses an automatic stratified sampling and snow collecting experimental device, and relates to the technical field of sampling and snow collecting experimental devices. The device comprises a sampling sliding block, a device shell, an accumulated snow sampling plate and a sampling storage barrel, the device shell is fixedly installed outside the sampling sliding block, the sampling sliding block is fixedly connected with the sampling storage barrel, and a snow layer layering automatic collecting assembly is fixedly installed outside the sampling sliding block. The device can be placed at the position of accumulated snow needing to be collected, layered collection can be automatically conducted on the snow layer, by designing a vibration groove and a vibration ball, the accumulated snow sampling plate can move downwards to be inserted into the accumulated snow in a vibration mode when a third circular ring gear rotates, and the accumulated snow can be collected through frequency change and mechanical vibration through the vibration function. The sampler is helped to overcome the resistance of a snow layer, so that the sampler can be more easily inserted into deeper accumulated snow.

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.

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 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.

The invention belongs to the technical field of food quality detection sampling, and relates to a stratified sampling device for food quality detection, which comprises a main body, a first partition plate and a second partition plate are arranged in the main body along the vertical direction to divide the main body into a first sampling chamber, a second sampling chamber and a third sampling chamber; the first sampling chamber, the second sampling chamber and the third sampling chamber are respectively provided with a first sampling port, a second sampling port and a third sampling port, the inner sides of the first sampling port, the second sampling port and the third sampling port are respectively provided with a first baffle plate, a second baffle plate and a third baffle plate, and the first baffle plate, the second baffle plate and the third baffle plate are connected through connecting rods; a driving rod is arranged on the first baffle; an elastic resetting device is arranged on the lower side of the third baffle; the first baffle, the second baffle and the third baffle are each provided with an auxiliary sealing device. According to the stratified sampling device for food quality detection, accurate sampling can be ensured, and the subsequent food quality detection accuracy can be ensured.