48results about How to "Effective recovery" patented technology

The invention discloses a short-distance multi-ore-bed potassic salt ore large-section long-strip comprehensive mechanized mining method, and belongs to the technical field of potassic salt ore deposit mining. The method comprises the steps that a centralized transportation roadway is arranged on an upper head mining layer, an auxiliary transportation roadway is arranged in a stable salt rock interlayer between ore layers, and combined development is achieved; arranging large-section long strip chambers in the ore blocks along the inclination direction, and reserving permanent spacing strip pillars to maintain the stope to be stable; a chamber is cut and formed at a time by a double-arm large-mining-height mining machine, and efficient stoping is realized by matching with a continuous transportation system; multiple ore beds are mined in a coordinated mode from top to bottom in sequence, and the ore block air return way and the ore block air return way of the upper ore bed are staggered by 20 m or above so as to avoid stress superposition; a full-air-pressure ventilation system combining a press-in type and a draw-out type is constructed; natural supporting is achieved through permanent spacing strip pillars and natural top and bottom plates, safety is guaranteed through a micro-seismic and top plate monitoring system, and the goaf is backfilled with tail salt slurry to achieve green mining. According to the method, safe, efficient and high-recovery-rate mining of the short-distance multi-ore-bed sylvite ore is achieved.

The invention provides a multi-reflection superposition enhanced microwave displacement measurement method and system, and the method comprises the steps: S1, constructing a microwave multi-reflection propagation path, enabling a microwave radar to transmit electromagnetic waves to the microwave multi-reflection propagation path as a transmission signal, and receiving a corresponding echo signal; s2, extracting length change information of a microwave multi-reflection propagation path according to the echo signal; s3, establishing a linear superposition relation model between the total length of the microwave propagation path and respective displacements of W reflection surfaces in the microwave multi-reflection propagation path; w2; and S4, based on the linear superposition relation model, displacement information of the corresponding reflection surface is obtained and output. According to the invention, a larger phase variation can be obtained under the condition of small displacement or weak vibration, so that the measurement sensitivity is improved and the signal-to-noise ratio is improved.

The application provides a multi-agent cooperative task state management and abnormal backtracking method and system, relates to the technical field of artificial intelligence, and comprises the following steps: obtaining interaction data, state data and execution logs, constructing an initial task knowledge graph based on an ontology model, establishing a bidirectional causal chain by using a Bayesian network to form a dynamic knowledge graph, analyzing state migration rules when an abnormality is detected, identifying a propagation node, constructing an abnormal propagation subgraph, generating an influence chain, determining a recovery priority and triggering state rollback. The method can quickly trace the abnormal source, effectively control abnormal diffusion, and improve system robustness and task recovery efficiency.

The application provides a three-dimensional reconstruction method based on multi-dimensional information fusion and a convolutional neural network, and comprises the following steps: acquiring polarized sub-images of a measured object under four transmission polarization directions and including multiple detection spectral bands through a multispectral polarization camera; performing image registration and joint denoising on all images; calculating polarization parameters of the measured object, combining spectral information and polarization information to calculate an azimuth angle and a zenith angle of the measured object; and acquiring surface normal vector component three-dimensional data of the measured object through a surface normal reconstruction model constructed based on a convolutional neural network and with the aid of physical prior knowledge. The method provided by the application can effectively restore the texture details of the surface of the measured object, can realize fast three-dimensional information acquisition of a measured object with a surface simultaneously having a diffuse reflection and a specular reflection characteristic in a complex indoor or outdoor scene under illumination conditions, and is helpful to expand the application range of the polarization three-dimensional reconstruction technology.

A valuable metal recovery method includes: screening a battery slag from lithium ion battery waste; adding an acid to the battery slag; adding a sulfur compound the leachate; filtering the first processed product to obtain a first processed filtrate; adding a sulfur compound to the first processed filtrate; filtering the second processed product to obtain a second processed filtrate; adding calcium hydroxide to the second processed filtrate; filtering the third processed product to obtain a third processed filtrate; adding sodium carbonate to the third processed filtrate; filtering the processed product; heating the fourth processed filtrate; blowing carbon dioxide or adding a carbonate; and filtering the processed product, wherein a pH of the second processed product is higher than a pH of the first processed product, and a pH of the third processed product is higher than the pH of the second processed product.

This invention relates to the field of image restoration technology, specifically disclosing an image restoration method and device based on discrete wavelet transform. An image restoration network, called Multi-Wavelet Attention Memory Neural Network (MWA-MNN), is designed, consisting of three sub-networks. These sub-networks include Discrete Wavelet Attention Blocks (DWABs) and Coordinate Channel Attention Blocks (CCABs) to extract spatial and channel feature information, effectively separating degraded image layers such as rain streaks from the image to obtain a clean image. The invention leverages the expressive power of wavelet transform for high-frequency information, thereby improving image restoration performance. The sub-networks also include Supervised Selective Kernel Blocks (SSKBs) for filtering effectively extracted features in each sub-network. This invention also proposes a memristor-based cross-array MWA-MNN circuit implementation scheme. Memristors are a novel type of non-volatile memory with faster read speeds and lower power consumption. Experimental results show that this method has good performance and versatility in various image restoration tasks.

There is provided a method for recovering lead from copper smelting dust according to the present invention includes an alkali leaching step of leaching lead contained in copper smelting dust with an alkali solution, a step of performing a solid liquid separation on a post-leaching solution and a leaching residue after the alkali leaching step, a neutralization step of adding an acid to the separated post-leaching solution to precipitate a lead, and a step of recovering a precipitate containing the lead by performing a solid liqiud separation.

Provided is a melting furnace that enables efficient recovery of reusable useful metals from a treatment target containing metals. The melting furnace includes: a furnace chamber that performs melt treatment of a treatment target containing useful metals; a slag port that discharges molten slag generated by the melt treatment; and a furnace floor that guides the molten slag to the slag port, wherein an accumulation mechanism that accumulates molten metal contained in the molten slag is provided on the furnace floor, the accumulation mechanism being configured with a recess formed in front of the slag port on the flat furnace floor and configured to precipitate the molten metal in the recess.

A Li recovery method includes: an acid leaching step of adding an acid to a battery slag to produce a leachate; a first addition step of adding a Ca content to the leachate to produce a first processed product; a post-first-addition filtration step of filtering the first processed product to be separated into a first processing filtrate and a first processing residue; a second addition step of adding sodium carbonate to the first processing filtrate to produce a second processed product; a post-second-addition filtration step of filtering the second processed product to be separated into a second processing filtrate and a second processing residue; heating the second processing filtrate; blowing carbon dioxide into the heated second processing filtrate to produce a third processed product; and a post-carbonation filtration step of filtering the third processed product to be separated into a third processing filtrate and a third processing residue.

Plasmid DNA can be efficiently recovered from bacterial cells when producing plasmid DNA using E. coli. Provided is a method for producing plasmid DNA including the following steps (a) to (c): (a) a step of preparing E. coli, which has a mutation in a gene region associated with maintaining outer membrane properties and has a desired plasmid; (b) a step of culturing E. coli of (a); and (c) a step of recovering a desired plasmid from bacterial cells after culture.

The invention discloses a method for detecting small defects on the surface of lightweight steel, and belongs to the technical field of industrial machine vision. The method is based on an improved YOLOv8n architecture and cooperatively works through three core technical means: firstly, a Swin Transform module is introduced into a backbone network to model long-distance spatial dependence and suppress complex background interference; secondly, a high-resolution P2 detection branch is constructed, shallow details and up-sampling semantic features are fused, and microdefect characterization is enhanced through bidirectional refining circulation; finally, P2 exclusive adaptive threshold focus loss ATFL is adopted, threshold update is only limited to P2 detection branch samples, and precise optimization of difficult and tiny defects is achieved in cooperation with a gradient directional return mechanism. According to the scheme, the detection recall rate and the positioning precision of the tiny defects are effectively improved while the model parameter quantity is remarkably reduced, and high-precision and light-weight industrial deployment is realized.

This invention discloses a method for preparing and applying chitosan-encapsulated CoCe layered double hydroxide CoCe-LDH. This material can achieve rapid and efficient degradation of roxarsone and removal of the resulting inorganic arsenic. In this material, LDH is encapsulated by chitosan, resulting in a sheet-like material. Chitosan can disperse active sites and adsorb and enrich PMS, while LDH can transfer PMS ions into the anion layer through anion exchange, thereby increasing the active sites. After coupling with the material, PMS is specifically converted to... 1 O2 accelerates the degradation rate.

This application proposes a method and chip device for monitoring processor program execution information, relating to the field of processor technology. It includes: real-time acquisition of the processor's raw program counter value, raw return address value, and hardware timestamp; compression processing of the raw program counter value and raw return address value to obtain compressed program counter value and compressed return address value, wherein the compression processing discards low-order alignment bits and high-order address bits; address range judgment of the raw program counter value and raw return address value to generate a program counter position flag and a return address position flag; concatenating the hardware timestamp, compressed program counter value, compressed return address value, program counter position flag, and return address position flag in a preset order into a fixed-width monitoring data packet; and reporting the monitoring data packet in response to the fulfillment of a preset trigger condition. This scheme can achieve effective monitoring of processor program execution information with low hardware overhead.

The invention discloses a direct high-temperature regeneration method of a waste lithium iron phosphate positive plate in a water vapor atmosphere. The method comprises the following steps: directly placing the positive plate obtained by discharging and disassembling the waste lithium iron phosphate battery into a reaction container, directly regenerating at 600-650 DEG C by taking superheated steam as a gasification medium, and removing aluminum foil after the regeneration process is completed, thereby obtaining the regenerated lithium iron phosphate positive plate. According to the method provided by the invention, the structure of lithium iron phosphate can be completely repaired at a relatively low temperature, and aluminum foil fusion is avoided. Compared with a traditional recycling process, the method has the advantages that complex pretreatment steps such as smashing, screening and stripping are omitted, material loss is reduced, the whole process is mild and environmentally friendly, and the method is short in process and easy and convenient to operate.

Provided is a method for recovering a carboxylic acid, by which method the carboxylic acid is separated from an aqueous solution containing water and the carboxylic acid and the separated carboxylic acid is obtained as a carboxylic acid anhydride. The method includes a) a first step of bringing the aqueous solution into liquid-liquid contact with a prepared extractant, the prepared extractant containing a component for extracting the carboxylic acid and a diluent to dissolve the component, b) a second step of distilling the prepared extractant that is subjected to the first step, azeotropically distilling the diluent in the prepared extractant and water, separating the distillate into an extractant component layer mainly containing the diluent and an aqueous layer and then discharging the aqueous layer, returning the extractant component layer mainly containing the diluent to the distillation step as reflux, and discharging the prepared extractant containing the carboxylic acid through a bottom of the column; and c) a third step comprising re-distilling the prepared extractant containing the carboxylic acid discharged by the second step, and returning, to the first step, the prepared extractant from which the carboxylic acid and water are removed, the prepared extractant being discharged through a bottom of the column, where the diluent in the prepared extractant have a minimum boiling azeotrope with water.

Provided are a heat generating cell that has high durability and is capable of stably generating heat, a heat generating device that has a high output and high durability while being small and compact, and a heat utilization system that is capable of efficiently recovering heat generated in the heat generating device and effectively utilizing the heat. A heat generating cell 1 includes a support having tubular shape and a multilayer film formed on an inner peripheral surface of the support for generating heat by occlusion and discharge of hydrogen. A heat generating device 20 includes a plurality of heat generating cells 1 penetrating through separators 22 such that both ends of the heat generating cell 1 in an axial direction are opened to a first space S1 and a second space S2 in a sealed container 21, and providing a heater 2 for heating each of the heat generating cells 1. A heat utilization system includes the heat generating device 20, a hydrogen supply line, a hydrogen recovery line, a heat utilization device, a heat medium supply line, and a heat medium recovery line.

There is provided a cellulose derivative that has a high amount of a chelate adsorption group introduced, has high hydrophilicity, and is capable of efficiently recovering boron. The cellulose derivative of the present disclosure has a repeating unit represented by the following formula (I-1). In the following formula (I-1), Ra is the same as or different from each other, and is a hydroxyl group or a group represented by the following formula (a). In the following formula (a), R1 represents a hydrogen atom or a methyl group. R2 represents a hydrogen atom or a hydrocarbon group optionally having a hydroxyl group. R3 represents a hydrogen atom or a hydrocarbon group. Note that at least one of all Ra contained in the cellulose derivative is the group represented by the following formula (a).

The application provides a self-checking method and system for corrosion self-marking of an outer surface of a submarine pipeline. The method comprises: acquiring an initial pipeline image; obtaining an HSV space image, calculating depth information; performing joint bilateral filtering processing on the depth information, calculating transmittance; calculating a stray light signal; generating a non-stray light image to be restored from a diffuse reflection model; analyzing and judging the non-stray light image to obtain a rusted surface of the outer surface of the submarine pipeline and generate rust point coordinates. The application models the depth information of the collected image, obtains model parameters to restore the depth information of the image, and with the aid of the depth information of the collected image, the transmittance and stray light estimates can be calculated through the diffuse reflection model, and then the image is effectively restored to be clear, the rust point coordinates can be accurately found, corrosion hidden dangers can be effectively found, the operation safety of the submarine pipeline is ensured, and the problems of low detection precision and difficult positioning of the existing marine pipeline exploration method are solved.

The application provides a processor program execution information monitoring method and a chip device, and relates to the technical field of processors. The method comprises the following steps: acquiring an original program counter value, an original return address value and a hardware timestamp of a processor in real time; performing compression processing on the original program counter value and the original return address value respectively to obtain a compressed program counter value and a compressed return address value, wherein the compression processing is to discard low-position alignment bits and high-position address bits; performing address interval judgment on the original program counter value and the original return address value respectively to generate a program counter position flag and a return address position flag; splicing the hardware timestamp, the compressed program counter value, the compressed return address value, the program counter position flag and the return address position flag into a monitoring data packet with a fixed bit width in a preset order; and reporting the monitoring data packet in response to a preset trigger condition. The scheme can effectively monitor processor program execution information at a low hardware cost.

This invention discloses a method, system, and storage medium for three-dimensional PET image reconstruction based on a diffusion multi-scale generative adversarial network (DMGAN). The method includes: inputting the PET image to be reconstructed into a pre-trained DMGAN to generate a near-realistic full-dose PET image; the DMGAN includes a diffusion generator and a U-Net discriminator; the PET image to be reconstructed, i.e., a low-dose L-PET image, is sliced ​​and then input into the diffusion generator to synthesize a full-dose image, i.e., an F-PET image, which contains a series of corresponding target slices; simultaneously, a noisy F-PET image is generated; the generated image is input into the U-Net discriminator to extract details from global and local views to improve the quality of the generated F-PET image. This invention can effectively capture and restore image details, making the generated image visually and structurally close to a real full-dose PET image.

This invention discloses a method for preparing and applying a non-high-temperature pyrolysis metal single-atom catalyst, comprising the following steps: dispersion: dispersing graphene oxide and a transition metal compound in an amide solvent to obtain a graphene oxide dispersion and a metal precursor dispersion; mixing: mixing the graphene oxide dispersion and the metal precursor dispersion, and homogenizing them under physical field-assisted treatment to obtain a mixed precursor suspension; solvothermal reaction: placing the mixed precursor suspension in a closed reaction vessel and performing a solvothermal reaction under autogenous pressure and heating conditions, and cooling after the reaction to obtain an intermediate product containing a metal-graphene hydrogel; purification and drying: washing and purifying the intermediate product with a polar solvent, followed by vacuum drying to obtain a non-high-temperature pyrolysis metal single-atom catalyst; grinding: grinding the obtained non-high-temperature pyrolysis metal single-atom catalyst into powder.

The application discloses a kind of unsupervised exposure correction methods, method includes: constructing semantic prompt guide's exposure perception module, the exposure level of image is perceived at visual semantic level;Exposure parameter modulation is constructed pseudo-supervision generation module, according to image exposure level adaptive exposure modulation is carried out, and synthesis is used to guide model training pseudo-supervision image;Construct color degradation compensation exposure correction module, by joint execution luminance correction and color compensation, the luminance distortion in abnormal exposure image and color degradation are recovered;Unsupervised exposure correction network is trained using the network optimization mechanism of multiple loss functions;Based on the unsupervised exposure correction network after training, input image is handled, and image luminance level and color fidelity are effectively improved.The application generates pseudo-supervision image according to image exposure level adaptive to guide model training, and compensates the color information of image while luminance correction, to realize the collaborative recovery of luminance and color.

The invention relates to the technical field of image processing, in particular to a tire surface barcode correction method and device based on density segmentation. The method comprises the steps of obtaining an initial barcode image; acquiring a bar code feature data set based on the initial bar code image, determining a bar code segmentation boundary position based on the bar code feature data set, and segmenting the initial bar code image based on the bar code segmentation boundary position to obtain a plurality of bar code area images; and performing correction processing based on the bar code area image to obtain a corrected bar code image. In this way, the uniformity of the bar code can be effectively recovered, and then the bar code recognition rate is remarkably improved.

This invention discloses a scattering imaging device system based on Transformer and CNN, including a speckle image acquisition device, a deep learning image restoration method, and a speckle image restoration method. The speckle image acquisition device includes a laser, lens A, lens B, a spatial light modulator, a target image, an objective lens, a scattering medium, another objective lens, a CMOS camera, and a computer. The outputs of the spatial light modulator and the CMOS camera are connected to the computer via wires and simultaneously controlled by a Matlab program to continuously capture and collect speckle images. The speckle image restoration system includes a speckle image restoration network based on the PyTorch framework and using Transformer and CNN. Previous methods for scattering imaging using deep learning mainly relied on convolutional neural networks for speckle image reconstruction. Convolutional neural networks offer excellent performance and outstanding feature extraction capabilities.

Provided is a method for recovering valuable metals that makes it possible to efficiently recover valuable metals at a high recovery rate. The present invention is a method for recovering the valuable metal from a raw material that contains the valuable metal. This method comprises: a preparation step for preparing a raw material; a melting step for introducing the raw material into a melting furnace and heating and melting the raw material to yield an alloy and a slag; and a slag separation step for separating the slag and recovering a valuable metal-containing alloy. The redox degree is adjusted in the melting step by introducing, as a reducing agent, scrap of a wound body, the wound body being an electrode assembly in which a positive electrode and a negative electrode are wound insulated from each other by a separator and carbon is used in the negative electrode.

This invention proposes a measurement system for ultrasonic-assisted machining tool wear and a method for studying tool wear mechanisms. The measurement system includes a cutting system, a force feedback system, and an imaging system. The cutting system performs ultrasonic-assisted machining on the workpiece. The force feedback system monitors the cutting force data of the cutting tool collected by a force gauge in real time. The imaging system records the machining images of the cutting tool in real time and calculates the tool wear in real time. The method for studying tool wear mechanisms utilizes the above measurement system to perform dry and cooled two-dimensional ultrasonic-assisted cutting processes, respectively, to obtain the tool wear amounts VB and Vb, and calculate the attenuation coefficient α. The obtained attenuation coefficient α is then applied to the dry two-dimensional ultrasonic-assisted cutting process. The beneficial effects of this invention are: this measurement system and research method can observe the tool wear and cutting force during ultrasonic-assisted cutting of difficult-to-machine materials in cooled machining processes, providing a reference for the study of tool wear mechanisms in cooled machining.

The application belongs to the field of shaft testing, in particular to a kind of automobile transmission shaft assembly torsional fatigue testing equipment, including test seat, the middle part of test seat is provided with the drive table for controlling the rotation of the shaft to be tested, the top surface of test seat is provided with the moving table connected with the shaft to be tested, the moving table can change the resistance of itself and test seat, the middle part of test seat is provided with center seat, the top of center seat is fixedly connected with adjusting column, a variety of monitoring modules for monitoring the fatigue data of the shaft to be tested are arranged in test seat, through this kind of setting, the real working condition is effectively restored, the shaft is under the torque at the same time, the real bending moment and radial force are brought by revolution, more close to the real stress state of wheel rolling, to improve the authenticity of detection data, and the scene simulation during detection is increased, more detection data indexes are added, more detection data can be obtained, and more accurate measurement results are obtained through data.

The application discloses a preparation method of water-soluble hydrogen-containing siloxane and application of the water-soluble hydrogen-containing siloxane in the field of cosmetics, and belongs to the technical field of cosmetic raw material preparation and application. The preparation method comprises the following steps: 1) preparation of a catalyst solution; 2) mixing of raw materials; 3) catalytic reaction; and 4) post-treatment and purification. In the application, water-soluble groups such as polyethylene glycol, polypropylene glycol and polyglycerol are used to modify siloxanes with Si-H bonds such as cyclosiloxane and polymethyl hydrogen siloxane, so as to prepare water-soluble hydrogen-containing siloxane. The water-soluble hydrogen-containing siloxane prepared in the application has excellent water solubility, good compatibility with a water phase system of cosmetics, can stably and continuously release hydrogen molecules in a water-based proton solvent, and the hydrogen molecules can effectively reduce high-activity free radicals in skin, reduce damage of the free radicals to skin cells, and realize antioxidant and anti-wrinkle effects. The product prepared in the application has high purity and good safety, raw materials are easy to obtain, the process is easy to industrialize, and the product can be widely applied to various water-based or water-oil compound cosmetics.

This invention discloses a method for patching holes in the trimmed surface of a mechanical part with N-sided holes. The method includes: parametrically mapping the hole boundary of the surface; establishing a Laplace equation on the parameter region enclosed by the boundary, transforming the hole patching problem into a partial differential equation solution problem on a two-dimensional plane with given first-kind boundary conditions; arbitrarily triangulating the parameter region; using linear trigonometric elements to discretize and solve the Laplace equation to obtain the initial discrete mesh vertex position information of the hole-patch region; fitting Hermite information to the initial discrete mesh using bicubic B-spline surfaces; and adjusting the Hermite information near the boundary to ensure a smooth connection between the hole-patch surface and the original surface at the boundary, ultimately outputting a complete, hole-free surface model of the mechanical part. This invention only requires the input of a trimmed surface model and can automatically process and output the hole-patch surface model.

The application discloses a kind of industrial robot balance cylinder life and stability measuring device, including rack, camera is fixedly installed in one side of the rack by support, the surface of the rack is fixedly installed with display by support, the surface of the rack is fixedly installed with servo motor by support, the output end outside of the servo motor is equipped with torque speed sensor, the output end of the servo motor is fixedly connected with the input end of speed reducer, temperature sensor is embedded on the side support of the speed reducer. High-precision speed reducer for industrial robot can effectively restore operating conditions, and can accurately reach any balance cylinder position. The setting of fixed seat A and fixed seat B can quickly install and meet the installation of balance cylinder with different strokes, and can test any thrust balance cylinder with a thrust range of 0-30KN. It can also be easily expanded to meet single or multiple balance cylinder testing, and easy to implement batch testing of balance cylinder.