46results about How to "Improve sampling quality" patented technology

The invention discloses a geological survey soil sampling device capable of laterally sampling, and relates to the technical field of soil sampling. Comprising a sampling drill cylinder part, and a negative pressure back suction part is installed on the sampling drill cylinder part and used for sucking a soil sample in the sampling drill cylinder part; an acid-base detection piece is mounted on the sampling drill barrel part; a traction control piece is mounted on the sampling drill cylinder part and is connected to the acid-base detection piece; the traction control part is used for pulling the acid-base detection part to switch a detection sample; a detection solution preparation part is mounted in the sampling drill barrel part; negative pressure suction work can be carried out by adopting the suction sleeve, and the structure can be prevented from water leakage when sampling is carried out on collapsed or marsh soil under the action of negative pressure; the problems that in the background technology, an existing soil sampling device is inconvenient to separate and sample a soil sample in the center of a sampler and is also inconvenient to carry out negative pressure permeation prevention are solved.

The invention discloses a fire smoke detection method based on an improved YOLOv8 model, and the method comprises the steps: 1), replacing a Neck layer of the YOLOv8 model with a Gather-Distribate module, and adding a SimAM attention mechanism in front of an SPPF layer of a backbone network Backbone of the YOLOv8 model, and obtaining a fire smoke detection model; 2) iteratively training the fire smoke detection model by using a training set; and 3) inputting a to-be-identified fire smoke image into the trained fire smoke detection model to obtain a detection and identification result. The improved YOLOv8 model has strong generalization ability, improves multi-scale feature extraction ability, especially small targets in fire smoke, focuses network attention on the to-be-detected targets, reduces interference of uncorrelated backgrounds, and effectively improves the detection precision of the model.

The invention discloses an electrolytic double-spraying sample preparation method for analyzing a second phase in a nickel-based superalloy. The method comprises the following steps: (1) pretreating the nickel-based superalloy to obtain a thin sheet with the thickness of 50-100 microns; (2) carrying out electrochemical corrosion on the sheet by adopting an electrolytic double-spraying method to realize passivation protection on a matrix phase, and corroding and dissolving a gamma'phase until a corroded SEM observation sample is obtained; the electrochemical corrosion conditions are as follows: the working voltage is 15-20V; the working temperature is controlled between-20 DEG C and-10 DEG C; and the electrolyte comprises 15-25% of concentrated sulfuric acid and 75-85% of methanol. According to the method, the problem that carbide to be observed phase falls off and is lost due to corrosion of the wrapped matrix can be avoided, meanwhile, the carbide phase and non-metallic inclusions cannot be corroded, the outline of the second phase can be clearly reserved, impurity elements cannot be introduced, element analysis is facilitated, and the method is suitable for analysis of the second phase in the nickel-based high-temperature alloy.

The invention relates to the technical field of soil leachate sampling, in particular to a field deep soil leachate sampler which comprises a pipe body, a plurality of through holes are formed in the pipe body at equal intervals in the axis direction, a filter cloth layer is wound on the pipe body and located on the outer sides of the through holes, and the two sides of the filter cloth layer are connected with binding belts for fixing. One side of the bottom end of the pipe body is communicated with a water taking pipe, a filter membrane is connected into the water taking pipe, and one end of the water taking pipe is sleeved with an end cover. After the soil leachate is in contact with the filter cloth layer, the filter cloth layer filters soil impurities in the soil leachate, and the filtered soil leachate penetrates through the through holes, enters the pipe body, moves downwards along the inner wall of the pipe body and gathers at the bottom of the pipe body, so that the soil leachate is conveniently collected and sampled; soil impurities in the soil leachate are filtered through the filter cloth layer, so that the influence of the soil impurities on the soil leachate is reduced, and the sampling quality of the soil leachate is improved.

The invention discloses a landslide sample data set construction method based on a remote sensing image. And a high-quality and information-rich landslide sample data set is constructed to directly influence the intelligent geological element information extraction capability. The method comprises the following steps: acquiring an optical satellite image and digital elevation model (DEM) data of a research area, and preprocessing; marking a landslide in the corresponding area according to the determined area range; extracting an image and mark data of the research area; and segmenting the obtained image and mark data into a data set. According to the method, the Google Earth can be used for identifying the landslide by means of the terrain height difference, and compared with a common optical image, the landslide is easier to identify and the identification precision is higher; the quadtree algorithm is adopted for landslide sample cutting, and samples obtained for landslides of different scales are more complete and higher in quality.

The invention relates to the technical field of water quality monitoring, in particular to an unmanned aerial vehicle water quality sampling device for environmental monitoring, which comprises an unmanned aerial vehicle body, a lifting assembly is arranged at the bottom end of the unmanned aerial vehicle body, the lifting assembly comprises a mounting plate mounted at the bottom end of the unmanned aerial vehicle body, a winder body is mounted at the bottom end of the mounting plate, and a sampling assembly is arranged at the bottom end of the lifting assembly. The sampling assembly comprises a sampling bin installed at the bottom end of the connecting rope, a plurality of water inlet holes are formed in the top end of the sampling bin in a penetrating mode, a bearing round frame is fixedly connected to the bottom end of the sampling bin, multiple sets of sliding round frames are slidably clamped to the inner end of the bearing round frame, and lower pressing blocks are fixedly connected between the sliding round frames located at the lower end. The top end of the pressing block slidably penetrates through a sliding rod at the top end of the sampling bin, the top end of the sliding rod is fixedly connected with a filter screen plate, and the bottom end of the filter screen plate is fixedly connected with a plurality of conical rods. By means of a linkage structure of the sliding round frame, the pressing block and the conical rods, integration of water entry resistance reduction, accurate sampling and sealing pollution prevention of the sampling bin is achieved.

The present application relates to the field of opto-mechatronics, specifically to a book scanning and copying all-in-one machine based on adaptive exposure control and a method thereof; the machine comprises a V-shaped book loading platform, a wide-spectrum LED array, a liquid crystal tunable polarization array, a CMOS image sensor and a photochromic adaptive microlens array; the system uses the wide-spectrum LED array to penetrate the book spine dark area to provide light, and uses the Brewster angle effect of the liquid crystal polarization array to peel off the mirror reflection photons; the core is that when the local reflected light intensity reaches a preset full well critical value, anisomerization reaction occurs in the microlens array to nonlinearly reduce the light transmittance, and the light intensity is adaptively flattened; the present application uses the bottom optical devices to work cooperatively, effectively solves the problems of high light overflow and dark area detail loss in single imaging, and expands the effective quantization interval of the image signal.

This utility model relates to the field of sampling technology for building materials, and discloses a sampling device for testing building materials, including a sampling mechanism, a transmission mechanism, and a main body mechanism. The sampling mechanism is located on the outer wall of the transmission mechanism, and the transmission mechanism is located on the outer wall of the main body mechanism. The sampling mechanism includes a sampling barrel, a control cylinder is fixedly connected to the upper surface of the sampling barrel, a pneumatic connecting rod is fixedly connected to the outer wall of the control cylinder, and a scraper is fixedly connected to the lower surface of the pneumatic connecting rod. This utility model, by setting the sampling barrel fixedly connected to the control cylinder, and the control cylinder fixedly connected to the pneumatic connecting rod, allows the pneumatic connecting rod to retract via the control cylinder. The pneumatic connecting rod is fixedly connected to the scraper. After sampling, the scraper can be moved by the control cylinder, thereby effectively cleaning residual materials on the inner wall of the sampling barrel and ensuring the accuracy of subsequent sampling and testing.

The utility model discloses a vegetable detection sampling device and relates to the technical field of sampling devices. The vegetable detecting and sampling device comprises a fixed bottom plate, a sampling tank, a vegetable sampling mechanism, a moving device and an assembly, a sliding groove is formed in the right side of the fixed bottom plate, the vegetable sampling mechanism is arranged on the upper surface of the fixed bottom plate, the moving device is arranged on the upper surface of the fixed bottom plate, and the assembly is used for cleaning the sampling tank. The assembly for cleaning the sampling tank is arranged on the upper surface of the fixed bottom plate, the assembly for cleaning the sampling tank comprises a second protection box, the interior of the sampling tank can be cleaned immediately after sampling is completed by arranging the assembly for cleaning the sampling tank, the sampling tank is prevented from being mixed with a sampling solution of the previous round in the next round of sampling, and the sampling efficiency is improved. Workers do not need to collect and clean, so that the labor intensity of the workers is reduced, the first protection box is reset through the moving device, and then wheel descending sampling can be performed, and the sampling efficiency and the sampling quality are improved.

The present invention discloses a rotating machinery cross-domain fault diagnosis method based on a DACODL framework, comprising: constructing a source domain data set and a target domain data set according to vibration data under different working conditions; performing data enhancement on the target domain data set to obtain an enhanced data set of the target domain data set; constructing a diagnosis model, and training the diagnosis model by generating a virtual data set through the source domain data set, the target domain data, the enhanced data set and cross-domain mixup; iteratively training the diagnosis model based on the above data set using a trusted order cross-domain mixup loss, a dynamic label distribution-aware regularized cross-entropy loss, a joint distribution multi-layer adaptation loss and a domain adversarial loss; obtaining a final diagnosis model, testing the final diagnosis model, and using the tested final diagnosis model for the vibration data of the rotating machinery under the target working condition to obtain a rotating machinery cross-domain fault diagnosis result.

The application discloses a non-intrusive load acquisition device. The non-intrusive load acquisition device comprises a rectification and voltage reduction circuit, a voltage sampling circuit, a current sampling circuit and an ADC module; the input end of the rectification and voltage reduction circuit is connected with the output end of a power supply to be identified; the input end of the voltage sampling circuit obtains a voltage analog signal from the live wire end of the power supply to be identified; the current sampling circuit is connected with an external Hall current sensor, and the external Hall current sensor is used for obtaining a current analog signal; the ADC module receives the voltage analog signal from the voltage sampling circuit and the current analog signal from the current sampling circuit, converts the voltage analog signal and the current analog signal into digital signals, and then transmits the digital signals to a master control chip. Through the integration of the rectification and voltage reduction circuit and the sampling module, voltage / current acquisition and power supply can be completed by a single device, 220V power supply can be directly connected without damaging the circuit, and the installation process is greatly simplified.

The invention provides a ship infrared target detection method in a low-visibility scene, and the method comprises the steps: collecting ship infrared target images and video data under multiple working conditions, and building a sample library containing environment metadata; gamma transformation and preprocessing are carried out on the collected ship infrared target image and video data so as to improve the separability of a low-contrast area; performing screening and labeling operation on the preprocessed ship infrared target image and video data; an improved AFPN-P345 neck network is adopted to carry out adaptive cross-layer feature fusion, and a redundant branch is skipped in combination with a lightweight dynamic routing mechanism; dW-RFAConv is used for replacing standard convolution, and the spatial local feature modeling capability is enhanced; partial overlap penalty, centroid distance penalty and shape difference penalty are introduced on the basis of IoU, and a PD-ShapeIoU positioning loss function is constructed for training a detection head; and outputting the category, the position and the confidence coefficient of the ship target through a multi-scale detection head, and completing real-time detection.

The utility model relates to a kind of crystallizer gas sample sampling device, belong to metallurgical industry continuous casting production process auxiliary equipment technical field.The technical scheme is: containing metal handle (1), limiting silk (2), clamping spring (3) and gas sampler (4), the lower end of metal handle (1) and clamping spring (3) are fixedly connected together, gas sampler (4) is inserted into clamping spring (3), metal handle (1) is equipped with the limiting silk (2) matched with gas sampler (4);The limiting silk (2) is fixed on metal handle (1);The gas sampler (4) is vacuum glass tube, lower part is conical, and upper part is cylindrical;The limiting silk (2) is arranged perpendicularly with metal handle (1), and metal handle (1) is arranged parallelly with the center line of gas sampler (4).The utility model has the beneficial effects that: gas sampler can be accurately and quickly inserted into crystallizer steel liquid, sample quality is good, and detection accuracy is high.

The present invention provides a natural language knowledge extraction method and device based on the collaboration of large and small models, which relates to the field of data processing technology. After converting a natural language text file into a vector format, it is input into a pre-constructed small model, and a recognition result is output, thereby determining the event indicated by the text file. Among them, the small model optimizes the parameters of the neural network based on the circular energy flow optimization algorithm, which enhances the adaptability and stability of the network at different training stages. In addition, it is constructed using an extreme learning machine classification algorithm based on a dynamic weight adjustment mechanism to improve the accuracy of classification. The training sample set for training the small model is constructed after event extraction from the initial sample set by a large natural language model. The present invention uses a large model to perform preliminary event extraction and refined training of the small model, which can efficiently process a large amount of data while maintaining high accuracy, especially in the extraction of specific events and entities.

The invention provides an intelligent coal sampling vehicle and a sampling method. The intelligent coal sampling vehicle comprises an upper vehicle assembly, a lower vehicle assembly, a sampling mechanism, a storage mechanism and a control mechanism, the upper vehicle assembly is connected with the lower vehicle assembly through the slewing mechanism to form an integrated vehicle body structure, and the traveling mechanism is arranged on the lower vehicle assembly and used for driving the sampling vehicle to move, so that the sampling vehicle is more stable and flexible; the sampling mechanism is arranged on the loading assembly and is used for collecting a coal sample; the control mechanism comprises a central control module and a scanning unit, the scanning unit performs three-dimensional live-action scanning on a field coal pile, and the central control module automatically generates a sampling scheme and controls the sampling mechanism to sample. The material storage mechanism comprises a first material box and a second material box, a weighing sensor is arranged on the first material box, a coal sample is firstly weighed in the first material box and then transferred to the second material box to be combined and stored, separation of sampling and weighing is achieved, the accuracy and representativeness of subsamples are guaranteed, and the whole sampling process is strictly carried out according to the national standard that sample preparation is carried out after subsample combination.

The invention discloses a multifunctional hydrogeological survey drilling sampling device, and relates to the technical field of hydrogeological sampling devices. The device comprises a vehicle body mechanism and a drilling sampling mechanism, the vehicle body mechanism is provided with a rotating telescopic rod, the drilling sampling mechanism comprises a rack, the rack is provided with a first driving mechanism, the first driving mechanism is in transmission connection with a drilling sampling rod, a drilling head is arranged at the end of the drilling sampling rod, and a sampling cavity is formed in the drilling sampling rod; the end part of the drilling head is provided with a sampling port communicated with the sampling chamber, the sampling chamber is provided with a switch ball for sealing the sampling port, the drilling sampling rod is provided with a second driving mechanism for driving the switch ball to rotate, the switch ball is provided with a first through hole communicated with the sampling port and the sampling chamber, and a piston is arranged in the sampling chamber. The multifunctional hydrogeological survey drilling sampling device has the beneficial effects of drill hole protection, good sample quality and small survey result error in a mode of sampling immediately without taking a drill rod after drilling.

The invention discloses a steel bar raw material sampling tool which solves the technical problems that the sampling efficiency of steel bar raw materials on a construction site is low, and the sampling quality is unstable due to large steel bar sampling errors. The device comprises a steel bar cutting machine with a steel bar cutting machine knife edge and a wireless control switch, and further comprises a plurality of height-adjustable supports distributed side by side, and an arc-shaped supporting plate which is arranged on the height-adjustable supports, has the head located under the steel bar cutting machine knife edge and is used for supporting a sampling steel bar, the linkage mechanism is arranged on the height-adjustable bracket, is propped against the sampling steel bar and is used for triggering the wireless control switch to act after the sampling steel bar reaches the sampling length; scales are arranged on the arc-shaped supporting plate in the length direction. The sampling efficiency can be effectively improved, the sampling error is reduced, and the sampling quality is ensured.

The invention relates to the technical field of artificial intelligence, and particularly discloses a structured electronic medical record for traumatology department, which is characterized in that the value distribution of each field in training data is counted, and in combination with a data item attribute map, a large model is used for identifying fields needing to be enhanced and reasons; revaluing the JSON field according to the proportion of about 10% based on the medical knowledge base and the dialogue context, and generating a revising list; constructing a corresponding relationship between the field and the dialogue position, and rewriting the dialogue to enable a new dialogue to be consistent with the new JSON; performing consistency verification on the change, discarding the change when the accuracy is lower than 85%, otherwise, storing the change in a warehouse; injecting doctor / patient role information into the partial dialogue; training evaluation is carried out to obtain overall and field-level indexes, and bad case attribution is carried out on fields with the accuracy lower than 0.8 to generate a next round of enhancement strategy; and performing state reflection at the end of each round of iteration according to the evaluation indexes and strategies, and outputting continuous or terminated iteration. Training data diversity is increased, and model performance is improved.

The invention discloses an oil exploitation sample oil layer sampling device and a sampling method, and particularly relates to the technical field of oil sampling, the oil exploitation sample oil layer sampling device comprises a sampling barrel, an electromagnetic valve and a remote control system, the sampling barrel is connected with a first pipeline, a second pipeline and a third pipeline, a flow velocity sensor is arranged at the joint, and the sampling barrel comprises an air outlet and a gravity sensor; the electromagnetic valve is used for controlling opening and closing of the pipeline; the first pipeline is used for extracting petroleum from a petroleum exploration well and feeding the petroleum into the sampling barrel; the second pipeline is used for extracting a petroleum sample from the sampling barrel and transmitting the petroleum sample to the petroleum analysis platform for analysis; the third pipeline is used for extracting the petroleum from the sampling barrel, conveying the petroleum into the temporary storage barrel and temporarily storing the petroleum, automatic sampling of a petroleum exploitation sample oil layer is achieved, opening and closing of an electromagnetic valve are controlled by remotely controlling preset programming, whole-course automatic operation of sampling, conveying and temporary storage is achieved, and the problem that in the prior art, manual work is relied on is solved.

Embodiments of the present specification provide a sample processing method and device, wherein the sample processing method comprises: obtaining a to-be-processed sentence; constructing a word group corresponding to the to-be-processed sentence, and determining a feature label corresponding to each word unit in the word group; constructing at least one negative sample and a target positive sample according to the feature label and the word group; calculating a sample similarity between the target positive sample and each negative sample, and determining a target negative sample in the at least one negative sample according to the sample similarity.

The utility model relates to feeding device technical field especially relates to a kind of asian corn borer full stage feeding device.It mainly aims at the existing feeding device to be insufficient in larva period space and ventilation, pupation period environment does not conform to habit, winged period wing space lacks, leading to larva maldevelopment, pupation success rate is low, experimental sample quality declines, influence research accuracy and reliability problem, propose following technical scheme: including the box of up and down opening, the box top is equipped with top cover, the top cover below is provided with multiple groups of recessed plate, the recessed plate includes side plate, the side plate side is fixedly connected with multiple groups of partition plate of equidistance array distribution;Mesh is installed in the box bottom, the mesh below is provided with collection tray.The utility model provides the environment suitable for the full stage growth of asian corn borer, guarantees its healthy development, improves pupation success rate and sample quality, simultaneously convenient operation maintenance, can effectively improve agricultural pest research efficiency and accuracy.

The utility model discloses a sampling device of a microfiltration membrane, which belongs to the technical field of microfiltration membrane of a microfiltration filter and comprises an operating platform, and a sampling port is arranged at the center of the operating platform. By arranging the filter membrane fixing structure, when the L-shaped plate is pressed down, the spring is changed from a loose state to a tightened state, the second sliding block is pushed to move in the direction of the second sliding groove, the first sliding block is pushed to move in the direction of the first sliding groove, and when the first sliding block moves to the position of the semicircular block, the semicircular block is jacked up, so that the filter membrane is fixed. The fixing column drives the filter membrane pressing cover to move, a worker can conveniently place the microporous filter membrane on the filter membrane fixing table, a pressing ring on the filter membrane pressing cover can press and fix the microporous filter membrane, the microporous filter membrane is prevented from moving during sampling, and the sampling quality of the microporous filter membrane is improved.

The invention discloses a crop remote sensing sample automatic construction method based on time-space-spectrum combined characteristics. The method comprises the following steps: acquiring multi-period optical remote sensing images of a target year in a research area; traversing unmarked cultivated land pixels in the research area, and calculating the similarity between the time sequence feature, the spectral feature and the spatial feature of each cultivated land pixel and the corresponding crop type feature signature library in the time sequence dimension, the spectral dimension and the spatial dimension; and performing spatial connectivity verification on the candidate amplified sample points by judging the comprehensive similarity, and combining the final amplified sample points with the core sample library to form a massive enhanced sample library. Through a step-by-step filtering mechanism of time sequence consistency screening, spectrum consistency screening, space purity screening and neighborhood verification, multi-source feature information of a time dimension, a spectrum dimension and a space dimension is fused, and a high-purity core sample library is constructed.

The application discloses a method and device for constructing training samples, electronic equipment and a storage medium. The method comprises the following steps: obtaining the information of clicks and payment commodities of a plurality of users in a predetermined time period, determining the information of clicks and payment commodities belonging to a first target query word as a first positive sample set generated in the predetermined time period, and the commodities from the same session in the first positive sample set belong to the same positive sample commodity list; respectively performing a deduplication processing on each positive sample commodity list, adding a first type identifier to each commodity in each deduplicated positive sample commodity list, selecting negative sample commodities for each positive sample commodity according to the attributes of each positive sample commodity in the deduplicated positive sample commodity list, constituting a corresponding negative sample commodity list, and constituting a first negative sample set based on the negative sample commodity list. The embodiment of the application can obtain high-quality training samples.

This utility model relates to the field of wastewater testing and sampling, and discloses a stratified sampling device for wastewater testing. It includes a wastewater sampling pool, with a sampling switching mechanism and a mixing mechanism at the top. The sampling switching mechanism includes a sampling cylinder, with a sampling tube fixedly connected to the inner wall of the sampling cylinder. A sealing lifting rod is slidably connected to the inner wall of the sampling tube, and a sealing ball is fixedly connected to the bottom end of the sealing lifting rod. A support plate is elastically connected to the top of the sampling tube via a spring. In this utility model, by setting up a sampling switching mechanism, the sampling tube is precisely delivered to the target stratification positions at different depths within the wastewater pool, ensuring that the obtained samples accurately correspond to each stratum within the wastewater pool. This greatly improves the accuracy of stratified sampling, avoids cross-contamination between samples from different strata, and allows for rapid collection of multi-layer wastewater samples, significantly improving the efficiency of stratified sampling while ensuring that each sample is independent and complete.

The utility model discloses a kind of sampling devices for recycled concrete production, it is related to concrete sampling technical field, aiming at the problem of inaccurate sampling position in prior art and the process of taking out is more complicated, low efficiency, the following scheme is presented, including fixed pipe, the bottom of the fixed pipe is welded and fixed with conical block, and the inner wall of both ends in fixed pipe is welded and fixed with fixed frame, connecting pipe is fixedly connected between two fixed frames, and connecting pipe is inserted and slidably connected with connecting rod, and the outer wall of connecting pipe is slidably sleeved with equidistantly distributed sampling mechanism. The utility model can play a good guiding and positioning role when inserting recycled concrete pile by welding and fixing conical block at the bottom of fixed pipe, ensure that fixed pipe is accurately inserted into predetermined position, so as to obtain representative sample, greatly improve the accuracy of sampling position, and provide guarantee for subsequent accurate evaluation of recycled concrete quality.

The utility model relates to the technical field of pipeline machining, in particular to a polyethylene pipeline hot melting joint flanging and cutting device which comprises a machine body, a first clamping block, a second clamping block, a beating layer, fixing shafts, connecting plates, an edge pressing conveying mechanism, a cutting mechanism, a clamping plate, a clamping rod, a cutting knife and a pre-walking wheel. An edge pressing conveying mechanism is arranged between the two connecting plates; when the device is used, a large ratchet wheel driving structure is changed into a two-small-ratchet-wheel driving structure, when the device is used for cutting, indentations on a sample can be reduced, the sampling quality is improved, meanwhile, the two ratchet wheels are driven by the motor and the speed reducer to replace a traditional manual pulling mode, cutting of the device can be continuously and stably carried out, and the working efficiency is improved. And meanwhile, manpower and time required by flanging and cutting are saved, and the working efficiency is improved.

The invention discloses a full-automatic rapid sampling device for a reinforcing steel bar raw material on a construction site, and solves the technical problems of low sampling efficiency and high manpower resource consumption in the prior art. The device comprises a steel bar cutting machine with a steel bar cutting machine knife edge and a wireless control switch, and further comprises a plurality of height-adjustable supports distributed side by side and an arc-shaped supporting plate arranged on the height-adjustable supports, and the head of the arc-shaped supporting plate is located under the steel bar cutting machine knife edge. The automatic sample aligning devices are arranged on the two adjacent height-adjustable brackets, are positioned at the tail ends of the arc-shaped supporting plates and are wirelessly connected with the wireless signal receiver on the wireless control switch; and scales are arranged on the arc-shaped supporting plates along the length direction of the arc-shaped supporting plates. The device is simple in structure, scientific and reasonable in design, convenient to use and capable of effectively improving the sampling efficiency and the sampling quality of reinforcing steel bar raw materials and reducing manpower resource consumption.

Embodiments of the present application provide a method, device, equipment and medium for generating a labeled ultrasound sample image. In the method, a diffusion model and an auxiliary segmentation network are obtained by pre-training. A target mask image is obtained, and a guide condition is determined based on the target mask image and the auxiliary segmentation network. A target sample image corresponding to the target mask image is generated by the diffusion model based on the guide condition. The target mask image is used to represent a target object contained in the target sample image. In this way, the auxiliary segmentation network and the target mask image can be used as guide conditions to provide directional guidance for the diffusion model, thereby improving the denoising effect of the diffusion model and improving the sample quality of the target sample image generated by the diffusion model, while reducing the difficulty and cost of obtaining the target sample image.

This application discloses an adaptive multi-granularity text embedding representation learning method based on gradient optimization. The method includes: text encoding, multi-granularity embedding generation, difficulty-aware dynamic sampling, sliding window negative sample management, adaptive loss optimization, and model training and validation. It aims to address the performance degradation caused by existing embedding vector dimensionality compression techniques. Through a difficulty-aware dynamic sampling mechanism, a Beta distribution is introduced to achieve progressive learning, significantly improving low-dimensional performance; sliding window negative sample management improves sample quality and training efficiency; and a gradient-oriented update strategy avoids gradient conflicts and optimizes training stability. Furthermore, this invention supports incremental dimensionality expansion, reducing training costs while maintaining consistency across multi-granularity embeddings. This method significantly improves performance in low-dimensional environments, maintains lossless performance in high-dimensional environments, significantly improves training efficiency, greatly reduces storage costs, and exhibits strong generalization ability, making it suitable for data from various domains.