74results about How to "Implement extraction" patented technology

The invention relates to the technical field of hydrological monitoring, and discloses a regional groundwater reserve change dynamic monitoring method based on gravity satellite time series data analysis. According to the method, the multi-source data scale effect and observation noise are effectively eliminated, the physical reliability and resolution of groundwater signal extraction are improved, and the recognition precision and early warning perspectiveness of the abnormal loss trend are enhanced. A full-chain monitoring closed loop of multi-source satellite observation, high-precision physical inversion and dynamic statistical benchmark is constructed, multi-dimensional environment data is aligned, a component separation strategy based on multi-element physical mechanism constraint is established based on a water balance principle, and anomaly diagnosis is performed in combination with a self-adaptively updated long-time-sequence historical database.

The invention discloses a homeland space planning data intelligent analysis method based on big data, and relates to the technical field of homeland space planning, and the method comprises the steps: collecting multi-source data, carrying out the quality screening, and forming a standardized data set. And setting a space element extraction rule based on a specific planning target, and mining key space elements from the standardized data. Constructing a big data analysis model, inputting key elements to calculate and obtain a spatial development tendency index, and generating a preliminary planning scheme according to the spatial development tendency index; and performing compliance verification on the scheme, generating evaluation data, and adjusting the scheme according to the evaluation data. And finally, performing space efficiency deduction calculation on the adjusted scheme, optimizing the scheme according to deduction result data, and outputting a final planning scheme. According to the method, the accuracy of data mining is improved through target-driven element extraction, and the perspectiveness and scientificity of a planning scheme are enhanced through dynamic efficiency simulation.

The utility model relates to recovery device technical field, concretely is a kind of benzene recovery device, including waste oil buffer tank, waste oil buffer tank is connected with the top of crude benzene crystallization tank by pipeline, the bottom of crude benzene crystallization tank is connected with the top of fine benzene rectifying column by pipeline one, and cooling pipe is wound in side portion, and cooling pipe is connected with freezer;Pipeline one is provided with feed pump;The top of fine benzene rectifying column is connected with fine benzene condenser by pipeline, and bottom is connected with heavy residue discharge pipe;Fine benzene condenser is connected with fine benzene buffer tank by pipeline two;The utility model is through being provided with crude benzene crystallization tank and fine benzene rectifying column, first crystallization comes out crude benzene, and then distills crude benzene, and the fine benzene of distillation comes out, to realize the extraction and recovery of benzene, avoid the waste of resources, reduce cost.

The application aims to provide a biaxial anisotropic material dielectric constant temperature variation test system and method, and belongs to the technical field of microwave and millimeter wave test. The system innovatively designs a free space terminal short circuit test system, realizes the acquisition of S21 parameters of microwave materials under high temperature through symmetrically arranging two antennas, and inversely obtains electromagnetic parameters based on the S21 parameters. Meanwhile, the test system can rotate the sample and rotate the antenna by 90 degrees, so as to realize the extraction of electromagnetic parameters of isotropic materials and biaxial anisotropic materials under high temperature in a wide frequency band, and has the advantages of large test range, simple detection mode, high measurement precision and the like.

The utility model discloses an acupuncture mechanism and radiopharmaceutical subpackaging equipment comprising the same. The needling mechanism comprises a sliding shaft, an operating handle sliding up and down along the sliding shaft and a needle frame base plate, the sliding shaft is further sleeved with an elastic piece, the upper end of the elastic piece is connected with the operating handle, the lower end of the elastic piece is connected with the needle frame base plate, and a first buckle used for fixing an extraction needle is arranged on the needle frame base plate. The extraction needle moves up and down along with the needle frame base plate under the action of the operating handle, so that a soft bottle plug of a medicine bottle can be punctured. The operation handle and the needle frame base plate are arranged on the sliding shaft, the elastic piece is arranged between the operation handle and the needle frame base plate, buffering can be ingeniously provided for the extraction needle to pierce a soft bottle plug of a medicine bottle, buffering can also be provided when the extraction needle makes contact with the bottom of the medicine bottle, and bending of the extraction needle and damage to the bottom of the medicine bottle are avoided; the liquid medicine in the medicine bottle can be completely extracted to the maximum extent, the extraction requirement is met, radiation residues are reduced, and harm to operators is reduced.

The invention relates to the technical field of micro-terrain intelligent identification, in particular to a power transmission line icing micro-terrain intelligent identification method and system based on icing simulation. Comprising the following steps: S1, determining position data of a power transmission line, and obtaining remote sensing data covering the power transmission line according to the position data; s2, establishing an icing micro-topography database, and performing micro-topography classification on the icing micro-topography database; the defects in the prior art are effectively overcome through multi-source data fusion and intelligent modeling, a multi-source fusion scheme of SAR data, multispectral data, DEM data and meteorological data is adopted, comprehensive extraction of three-dimensional features of terrains, airflow and water vapor is achieved in combination with accurate position data of a power transmission line management end, and the accuracy of the three-dimensional features of the terrains, the airflow and the water vapor is improved. The problems of single feature dimension and incomplete data coverage in the prior art are solved, richer basic data support is provided for microtopography recognition, and the relevance between the features and the icing mechanism is remarkably improved.

The application aims to provide a dielectric property testing system and method of a wave-transparent material under high temperature and high pressure, and belongs to the technical field of microwave and millimeter wave dielectric material testing. The system innovatively adds a temperature device for heating and a pressure device for pressurizing in a conventional quasi-optical cavity method testing device, and sets a fused quartz considering the influence of temperature and pressure on the optical cavity, so that the system can test the dielectric property of the wave-transparent material under high temperature and high pressure by using the quasi-optical cavity method. Meanwhile, the system is simple to operate and has high testing precision.

The application provides a method and system for removing electro-physiological signal gradient artifacts in a magnetic resonance environment, and relates to the technical field of magnetic resonance image processing. The method comprises: collecting an electro-physiological signal of a magnetic resonance scan and a scan synchronization signal; aligning and windowing the electro-physiological signal based on the scan synchronization signal to obtain a windowed sequence; constructing an artifact template based on the windowed sequence; combining the windowed sequence and the artifact template to calculate a first residual; performing principal component analysis on the artifact template and the first residual to obtain a second residual; performing logarithmic domain conversion and polarity extraction operations on the second residual to obtain a logarithmic domain sequence and a polarity symbol layer; inputting the logarithmic domain sequence into a deep learning denoising network to output a de-artifact logarithmic domain sequence; and performing inverse logarithmic transformation and polarity recovery operations on the de-artifact logarithmic domain sequence and the polarity symbol layer, respectively, to determine a de-artifact signal.

This invention discloses a real-time quantitative PCR device, relating to the field of quantitative PCR equipment technology. It includes a device platform, with a detection chamber fixedly installed on one side of the top of the platform. A sample plate is slidably disposed inside the detection chamber. The sample plate has multiple hanging holes arranged in a rectangular array, and reagent tubes are installed inside the hanging holes. An assembly is also provided on the sample plate. The assembly includes two connecting brackets movably mounted on the top of the sample plate, with threaded rods fixedly installed inside the connecting brackets. By setting up this assembly, during loading and unloading, rotating the threaded rods can drive a translation rod to connect with the reagent tubes, and lifting the connecting brackets can simultaneously lift or lower all reagent tubes, thereby achieving batch sample extraction and loading. This significantly shortens the time required to open the chamber door, reduces the risk of internal contamination, and improves detection efficiency.

The application discloses a device identification method and device, equipment and storage medium, comprising: determining the pulse rectangular window position relative to the preprocessed signal corresponding to the original signal sent by the sending end device according to the preprocessed signal, wherein the pulse rectangular window position is the pulse position where the fingerprint feature is located; performing fingerprint feature enhancement processing on the preprocessed signal according to the pulse rectangular window position to obtain the optimized signal of the original signal; and identifying the corresponding sending end device according to the optimized signal of the original signal to determine the identification result. The above technical solution realizes the extraction and enhancement of the fingerprint feature in a simple way, solves the problem of poor recognition effect caused by insufficient sample number when using radio frequency fingerprints for individual identification in the deep learning background, ensures the accuracy of the individual identification of the sending end device, and improves the security of identity authentication.

The application relates to a cross-linked polyethylene dioxythiophene alcohol dispersion liquid, a preparation method and application, and belongs to the technical field of photoelectric materials. A cross-linking agent is added into a polyethylene dioxythiophene alcohol dispersion liquid, an epoxy group on the cross-linking agent and a p-anion high-fluorine sulfonic acid ion polymer in the polyethylene dioxythiophene alcohol dispersion liquid are cross-linked, a film formed by the cross-linked polyethylene dioxythiophene alcohol dispersion liquid forms a continuous three-dimensional network structure, resistance to alcohol solvents is realized, and the alcohol solution has better wettability on the surface of the cross-linked polymer film. The cross-linked polyethylene dioxythiophene alcohol dispersion liquid can be used in organic solar cells with different structures, and can be applied to other fields such as light-emitting diodes, electrochromism, bioelectronic and anti-static coating and the like.

The utility model relates to the field of tea processing, and discloses a tea processing deblocking machine which comprises a machine body, a motor is fixedly connected to the outer wall of the machine body, a deblocking shaft is fixedly connected to the output end of the motor, a plurality of deblocking rods are fixedly connected to the outer wall of the deblocking shaft, and a screening assembly is arranged in the middle of the inner wall of the machine body. A beating assembly is arranged at the bottom in the machine body, an extraction assembly is arranged on the outer wall of the machine body, the screening assembly comprises a plurality of fixing plates, the fixing plates are fixedly connected to the inner wall of the machine body, a sliding rod is fixedly connected between every two adjacent fixing plates, the outer wall of each sliding rod is slidably connected with a screening plate, and the outer wall of each sliding rod is sleeved with a spring. According to the tea leaf deblocking device, the pumping assembly drives the piston to slide up and down in the barrel body through the connecting rod by utilizing the power of the reciprocating assembly, so that water in the water storage tank is pumped and conveyed, and the water is atomized and sprayed on tea leaves through the atomizing nozzle, so that the tea leaves are softened, and the deblocking difficulty is reduced.

The present application belongs to the field of SA radar fault, and relates to a kind of extraction method of SA radar fault alarm code based on hierarchical clustering, comprising the following steps: S1 calculates the similarity distance between alarm codes;S2 calculates the distance between alarm code clusters;S3 alarm code hierarchical clustering process;S4 extracts key alarm code.The present application solves how to distinguish key alarm code and invalid alarm code for SA radar fault, takes key alarm code and invalid alarm code as two kinds of alarm codes, realizes the extraction of key alarm code by distinguishing the difference between the two kinds of alarm codes when fault occurs, and realizes the distinction between key alarm code and invalid alarm code by clustering alarm codes in the form of tree through hierarchical clustering method.

This invention provides a method for recycling lithium manganese iron phosphate waste. The recycling method includes the following steps: (1) mixing lithium manganese iron phosphate waste with a first acid solution, introducing sulfur dioxide and oxygen, and performing oxidative leaching to obtain a leaching slurry; (2) subjecting the leaching slurry to copper removal treatment to obtain leaching residue and leaching solution; (3) mixing the leaching residue from step (2) with a second acid solution, adjusting the pH value to perform a first precipitation reaction to obtain manganese iron phosphate; and subjecting the leaching solution from step (2) to lithium extraction treatment to obtain purified lithium salt. The recycling method provided by this invention has a better oxidation effect, does not introduce a large amount of cationic impurities, can realize the full-component recovery of lithium manganese iron phosphate battery cathode materials, and can obtain battery-grade purified lithium salt materials and the precursor manganese iron phosphate products required for battery-grade lithium manganese iron phosphate cathode materials; and the process cost is low, which improves the added value of the products and better meets the actual production needs.

The application belongs to the technical field of iodine-containing wastewater treatment, and specifically provides a method for treating iodine-containing wastewater, which comprises the following steps: mixing a metal-doped bismuth tungstate material for treating iodine-containing wastewater with a binder and a conductive agent to prepare a slurry, coating the slurry on a conductive substrate, and drying to obtain a membrane electrode, and using the obtained membrane electrode to treat iodine-containing wastewater; and a preparation method of the metal-doped bismuth tungstate material for treating iodine-containing wastewater, which comprises the following steps: 1) dissolving bismuth salt and iron salt in a solvent to prepare a mixed solution; 2) adding a tungstate solution to the mixed solution to form a suspension, and then performing a hydrothermal reaction, collecting the precipitate after cooling, and washing and drying to obtain the product. The metal-doped bismuth tungstate material prepared by the application has the advantages of high specific surface area and good photo-assisted electric adsorption performance.

This application discloses a method for preparing Nutmeg and Schisandra pills to improve depression-induced arrhythmia, including the following steps: S1, take nutmeg, costus root, aucklandia root, and long pepper, in parts by weight, 20-30 parts of nutmeg, 15-25 parts of costus root, 15-25 parts of aucklandia root, and 10-20 parts of long pepper, add water for distillation extraction, and collect the obtained volatile oil. This application uses extrusion spheroidization combined with fluidized bed coating technology to prepare sustained-release microcapsules, prolonging the duration of efficacy, reducing the frequency of medication, and avoiding excessive fluctuations in blood drug concentration, thus reducing the risk of adverse reactions. The volatile oil is fully extracted by sufficient steam distillation, combined with an appropriate ratio of β-cyclodextrin inclusion and spray drying process to reduce the loss of volatile oil and ensure the stability of the formulation efficacy. The high-dose ratio of medicinal materials can not only effectively regulate the patient's mood and improve the depressive state, but also improve myocardial blood supply, stabilize cardiac electrophysiology, and break the vicious cycle between depression and arrhythmia.

This application relates to a transmission path planning method and apparatus for data sharing and exchange in a controlled network environment, belonging to the field of network communication and data transmission technology. The method includes: calculating the comprehensive adaptability score of the service links of the controlled network subdomains to the current service based on a security-performance dynamic coupling model, and using this score as the service link coupling feature; aggregating the service link coupling features of all subdomains to generate a global feature vector and inputting it into a policy generation model, outputting a basic path policy for cross-domain data sharing and exchange, and storing it in a historical policy database; when services are updated or new subdomains are added, performing path migration adaptation between the new service features or the service link coupling features of the new subdomains and the basic path policy, outputting a target path policy and comparing it with the historical best value for similarity, triggering policy fine-tuning based on the comparison result to obtain the optimal path policy. This method can achieve efficient, secure, and flexible data sharing and exchange in a controlled network environment.

This invention discloses a method, system, and storage medium for LOD2 building reconstruction from single-view orthophotos. The method inputs a single-view orthophoto remote sensing image into a shared backbone network to generate a footprint mask probability map; constructs a first modulation factor, performs element-wise gating on the multi-scale feature map, and inputs it into a height decoder to output a height field; normalizes the height field to obtain a normalized height map and constructs a second modulation factor; fuses the second modulation factor with the first modulation factor to form a composite modulation factor, performs dual element-wise gating on the multi-scale feature map, and inputs it into a structure line decoder to output a distance field and orientation field; recovers the roof structure line based on the distance field and orientation field; and constructs the roof surface, walls, and ground by combining the roof structure line, height field, and footprint boundary to generate a LOD2 3D model of the building. This invention can automatically generate a topologically complete and geometrically accurate LOD2 3D model relying solely on a single orthophoto.

The invention discloses a composite extract for improving sleep and a preparation method thereof, and belongs to the technical field of plant extraction. According to the invention, four medicinal materials of spina date seed, lily, lotus seed and poria cocos which are homologous in medicine and food and have the effect of soothing the nerves are scientifically combined, and the composite extract for improving sleep is obtained by adopting a specific extraction process; according to the technology, active ingredients are efficiently released through the synergistic effect of cellulase, pectinase and acid protease, and the yield of gamma-aminobutyric acid and other sedative substances is remarkably increased through a co-fermentation system of lactobacillus plantarum and saccharomyces cerevisiae; lipid-soluble effective components are extracted by adopting glycyrrhizic acid and rhamnolipid assisted ultrasonic extraction technology, and finally, embedding protection of the active components is realized through a chitosan oligosaccharide-soybean lecithin system, so that thermal degradation and oxidation loss in the processing process are reduced, and compared with a traditional single extraction method, the preparation method has the advantages that the cost is reduced; according to the method, high-yield gamma-aminobutyric acid, jujuboside, triterpenic acid and other active ingredients can be obtained at the same time, and the effect of the composite extract is improved.

This invention relates to a texture primitive extraction method for tire X-ray images, addressing the challenge of accurately obtaining pixel-by-pixel texture information at the individual cord level while suppressing background interference. It falls under the field of computer vision and image processing technology. The method combines frequency domain analysis to obtain texture direction and spacing, utilizes this information to construct a mesh mask, and further combines background point extraction with real background reconstruction to filter out specific background regions in the original image. Under directional constraints, the remaining texture mesh is continuously tracked to obtain pixel-by-pixel texture information, thus achieving texture primitive extraction. This provides a more reliable foundation for subsequent pathological detection, structural analysis, and cord-level texture modeling.

The application discloses a method and device for suppressing wide-frequency oscillation of a converter, equipment and a medium, and belongs to the field of power grid safety. The method is as follows: obtaining the fundamental equivalent impedance of the converter corresponding to the fundamental frequency and the wide-frequency equivalent impedance corresponding to each interference frequency through a preset interference signal; judging the damping characteristic of the converter according to the real part of the fundamental equivalent impedance; if the damping characteristic is positive, and the imaginary part of at least one wide-frequency equivalent impedance satisfies a preset resonance criterion, determining a resonance frequency band from all interference frequencies, and adjusting the current control loop parameters of the converter according to the resonance frequency band until all imaginary parts do not satisfy the preset resonance criterion, so as to realize wide-frequency oscillation suppression; wherein, the preset resonance criterion is determined according to the reactance characteristic of the wide-frequency equivalent impedance. The application can improve the accuracy of wide-frequency oscillation suppression of the converter.

The application discloses an e-commerce platform consumer behavior prediction method based on edge computing, comprising the following steps: collecting the behavior event flow of consumers in the e-commerce platform at the corresponding edge node of user access, and performing preprocessing; constructing a session state feature vector; constructing a local behavior transition graph for a micro-session segment and performing timing diagram coding on the local behavior transition graph; aligning and calculating the local behavior representation vector with a long-term preference anchor point set; generating a state digest based on an edge side prediction network and a collaborative routing indication value, and sending the state digest to a cloud node; the cloud node performs collaborative prediction in combination with the historical behavior characteristics stored in the cloud; collecting real behavior feedback of the edge side prediction result or the cloud prediction result to obtain difficult samples, generate a parameter correction amount or an anchor point correction amount, and write back to the edge node. The edge collaborative prediction realizes accurate identification of consumer behavior.

This invention belongs to the field of biotechnology, specifically relating to a stable and efficient method for extracting and purifying Rhodiola rosea protoplasts. Using Rhodiola rosea callus tissue as material, this invention establishes a highly efficient separation and purification system for Rhodiola rosea callus protoplasts based on enzymatic hydrolysis, determining the optimal enzyme combination, mannitol concentration, hydrolysis time, and centrifugation speed. Experimental verification shows that the protoplast yield using the Rhodiola rosea protoplast extraction and purification method described in this invention reaches 5.57 × 10⁻⁶. 6 The Rhodiola rosea protoplast extraction and purification system provided by this invention yields a large quantity of Rhodiola rosea protoplasts with minimal damage, few impurities, and high viability, providing experimental materials and technical support for gene function analysis, secondary metabolism regulation, and cell engineering research.

The utility model discloses a screening and conveying device for tablet production, and relates to the technical field of tablet screening and conveying. A top plate is fixedly mounted at the top of the support frame; a rectangular groove facilitating installation of the screening assembly is formed in the top plate. The screening assembly comprises a screening box. The bottom of the screening box is conical; a powder screening net is fixedly mounted in the screening box; a guide rod is arranged on the powder screening net; a feeding frame is fixedly mounted at one corner in the screening box; a plurality of rings are placed on the powder screening net; screening holes formed in the powder screening net are divided into first screening holes and second screening holes; during use, the feeding hopper is supported through the supporting rod, medicine particles are conveyed to the feeding frame through the feeding hopper, effective screening of the medicine particles large in size in the manufacturing process is achieved, the medicine particles conforming to the size fall into the multiple rings on the powder screening net through the feeding frame, and through vibration of the vibration motor, the medicine particles are screened through the feeding frame. And the multiple rings are sequentially and circularly moved and conveyed along the guide rods.

The present application belongs to the field of feature extraction in machine learning, in particular to a device damage feature screening method based on information entropy and Person correlation coefficient. First, according to the principle of power law, the method of fuzzy mutual information is used to select strong correlation features, in order to reduce redundancy, by referring to matrix transformation, the Person correlation coefficient is used to calculate the correlation between strong correlation features, and the redundant features with strong correlation are removed, finally, in order to improve the complementarity, whether there is strong correlation based on combination in the remaining other features is considered by using joint adjustment mutual information calculation. Compared with the prior art, the present application not only considers the correlation between features, but also reduces the redundancy between features, and also considers the complementarity between features from the joint feature angle, thereby maximizing the accuracy of feature selection and improving the efficiency of machine learning method.

This invention discloses a comprehensive method for recovering valuable metal elements from the neutralized and impurity-removed slag of lepidolite. The method involves obtaining clinker through high-temperature roasting of the slag; obtaining a lithium-containing leachate and aluminum-, calcium-, and iron-containing waste residue through alkaline leaching; extracting lithium from the lithium-containing leachate through resin purification, concentration, and precipitation; leaching the aluminum-, calcium-, and iron-containing waste residue with sulfuric acid and hydrogen peroxide to obtain calcium sulfate and an iron-aluminum-containing aqueous leachate; and recovering aluminum through extraction and ammonium-aluminum crystallization reaction to obtain iron oxide red and ammonium alum products. This method achieves comprehensive recovery of valuable elements such as lithium, iron, aluminum, and calcium from the neutralized and impurity-removed slag of lepidolite. The waste residue and wastewater generated throughout the process are properly utilized, effectively solving the problem of secondary resource utilization of lepidolite neutralized and impurity-removed slag. This achieves the goals of resource utilization, harmlessness, and volume reduction of lepidolite neutralized and impurity-removed slag, aligning with my country's goals of developing a circular economy and energy conservation and emission reduction.

This invention provides a traffic flow speed prediction method and system based on directed hypergraphs and attention mechanisms, belonging to the field of traffic state prediction technology. Based on directed hypergraphs, it constructs the relationships between nodes in a road network; aggregates directed hyperedge information to characterize the complex spatiotemporal features of the road network; builds an encoder and decoder architecture; integrates an attention mechanism, constructs an attention module, and introduces an improved dense connection structure to enhance the method's accuracy. This invention effectively overcomes the shortcomings of methods based on traditional graph structures, achieves the extraction and fusion of temporal and spatial features, and solves problems such as gradient vanishing in deep neural networks. It is applicable to multi-step traffic flow prediction in real road networks and achieves good prediction accuracy.

This application relates to the field of computational materials science and technology, and particularly to a method for targeted design of high-calorific-value energetic alloy materials by coupling elemental information. The method includes the following steps: First, establishing a dedicated energetic alloy material dataset; then, constructing a deep reinforcement learning model for high-calorific-value energetic alloy materials, training the model based on the dedicated energetic alloy material dataset, directionally generating potential energetic alloy material components, and assigning crystal templates to obtain energetic alloy materials with crystal structures; subsequently, training a calorific value and formation energy prediction model based on the dedicated energetic alloy material dataset, predicting newly generated energetic alloy materials, and selecting high-calorific-value energetic alloy materials; finally, using VASP software for computational verification of candidate materials. This application, based on a smart paradigm for materials research and development, combines a deep reinforcement learning model, a neural network prediction model, and quantum mechanical computational verification to achieve targeted design of high-calorific-value energetic alloy materials.

This disclosure provides a method and system for removing zinc from galvanized steel sheets, belonging to the field of resource recycling technology. The method includes: pickling and immersing the galvanized steel sheet in an inorganic acid to obtain a zinc salt solution and hydrogen gas; subjecting the zinc salt solution to multi-effect evaporation to obtain a concentrated solution and a condensate of the inorganic acid, the condensate of which is reused in the pickling process; calcining the concentrated solution to obtain solid oxides and tail gas containing hydrogen chloride or sulfur trioxide, the tail gas being reused in the pickling process; magnetically separating the solid oxides to obtain magnetic and non-magnetic oxides; and using the hydrogen gas generated from the pickling process to reduce the non-magnetic oxides, which are then collected by condensation to obtain zinc metal with a purity greater than 99%. This disclosure achieves closed-loop utilization of hydrochloric acid or sulfuric acid and water resources, with high zinc recovery rate, low energy consumption, and both economic and environmental benefits.