64results about How to "Effective recovery" patented technology

The invention relates to a log counting method based on Yolov9-UNet in a complex environment, and belongs to the technical field of image processing. The method comprises the steps that a Transform is embedded into a UNet, and a Transs-UNet module is formed; the method comprises the following steps of: combining a Trans-UNet module with Yolov9 to form a Yolov9-UNet model; the method comprises the following steps: acquiring training data to train a Yov9-UNet model, and respectively training a Trans-UNet module and Yov9 by referring to a training process of a GAN network; and acquiring an image containing the end face of the log, performing normalization processing on the image, inputting the normalized image into the trained Yolov9-UNet model to obtain a log detection frame, and performing statistics on the detection frame to obtain the log number. According to the invention, effective recovery of images in different scenes can be realized, and log counting in a complex environment is realized.

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 relates to the technical field of image processing, and discloses a transparent and restorable face anonymization processing method and system, and the method comprises the steps: obtaining to-be-anonymized original face images, extracting initial identity features from the original face images through a face feature extractor, and generating a group of keys for each original face image; constructing a reversible neural network, inputting the identity features and the secret keys belonging to the same original face image as a group of input data into the reversible neural network, performing affine transformation through the reversible neural network, and finally generating anonymized identity features controlled by the secret keys; and inputting the original face image and the anonymized identity features into a pre-trained generator so as to generate an anonymized face image. According to the method, the application requirements are fully met, and the dual goals of data security and privacy protection are ensured.

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 invention discloses an image processing method and device, equipment and a storage medium. The method comprises the steps that a first image is acquired; the first image is restored based on an image restoration model to obtain a second image, the image restoration model comprises a frequency domain processing module and a spatial domain processing module, the frequency domain processing module is used for processing the first image from a frequency domain, and the spatial domain processing module is used for processing the first image from a spatial domain to obtain a second image; the second image is a restored image of the first image, and the quality of the second image is higher than that of the first image; and outputting the second image. Therefore, by means of the image restoration model, the first image can be processed from the angles of the spatial domain and the frequency domain, the frequency domain features are dynamically learned while the spatial domain features are mined, and the problem of middle image information loss caused by restoration through a single-angle model is solved. Therefore, the first image can be effectively restored to obtain the second image, and the effect of improving the quality of the image is achieved.

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.

The utility model relates to the technical field of orthopedic rehabilitation exercise equipment, in particular to an orthopedic clinical rehabilitation auxiliary device. The clinical rehabilitation assisting device for the orthopedics department comprises a base, a supporting table and a threaded rod are installed on the base, a driving mechanism is installed at the end of the supporting table, a first gear is installed at the output end of the driving mechanism, and an upper limb training mechanism used for training upper limbs is arranged on the first gear; a first gear is installed at the end of the threaded rod, a second gear is installed at the end of the threaded rod, a chain is in transmission connection between the first gear and the second gear, an upper limb training mechanism used for driving the first gear to rotate is arranged on the first gear, and a lower limb training mechanism is movably connected to the threaded rod; the first gear drives the second gear to rotate so as to drive the lower limb training mechanism to move, simultaneous exercise of multiple parts of the patient is achieved, and recovery of the patient is effectively helped.

The invention provides a vehicle information recording management method and system, and relates to the technical field of vehicle management, and the method comprises the steps: obtaining a collection image of a monitored vehicle; obtaining vehicle characteristics of the monitored vehicle according to the collected image; obtaining a license plate contour of the monitored vehicle through an edge detection algorithm according to the vehicle characteristics; according to the license plate contour, processing the license plate contour through morphological operation to obtain an enhanced image of the license plate contour; according to the enhanced image of the license plate contour, dividing the enhanced image of the license plate contour into a non-occlusion area and an occlusion area through a deep learning model; repairing according to the non-occlusion area through the context information to obtain an occlusion image of the occlusion area; obtaining a license plate number of the monitored vehicle according to the image of the non-shielding area and the shielding image; and inputting the license plate number and the vehicle type of the monitored vehicle. According to the invention, through combination of an advanced image processing technology and a deep learning algorithm, rapid and accurate collection of vehicle information is realized.

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.

The present invention discloses an environmental situation awareness data engineering system based on multi-source data fusion, which relates to the technical field related to environmental situation awareness, including a multi-source data acquisition module, a multi-source data processing module, an environmental evolution analysis module, an ecological restoration assessment module, an ecosystem evolution module and a visualization observation module. The present invention also discloses an environmental situation awareness method based on multi-source data fusion, including collecting environmental data, effectively integrating the data, using model evolution trends and prediction results and the possible impact of environmental changes on human behavior, and presenting them to end users in charts. The UEB model of the present invention is applicable to a variety of climate and terrain conditions, and has high accuracy and reliability in complex environments of high-cold plateaus. The UEB model can help analyze and predict the impact of human activities on environmental elements, as well as the impact of environmental changes on human behavior, deeply explore the interaction between human activities and environmental changes, and provide insights for decision makers.

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.

The present application relates to the technical field of partial discharge detection, and discloses a multi-band signal filtering method and system for partial discharge monitoring equipment. First, a corresponding first filter channel is set according to the first analog instruction obtained, and the first analog impedance and the first analog capacitive reactance are matched and configured accordingly, and then the corresponding first analog signal received by the detection terminal is controlled to be filtered, and the first filtered signal is output. Then, after obtaining the second analog instruction, the first filter channel is closed, and the discharge is continuously preset for a first time length, and then it is configured as a second filter channel corresponding to the second analog instruction. When configuring, the second analog impedance and the second analog capacitive reactance are first matched, and then the configuration is completed accordingly, and finally the second filter channel is controlled to filter the corresponding second analog signal received by the detection terminal, and the second filtered signal is output. The filtering processing of multi-band signals is realized in this way. The present application can use software for dynamic control to achieve dynamic filtering.

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 invention provides a micro-service cloud backup method based on a cloud platform, which belongs to the technical field of data backup, and comprises the steps of micro-service identification and classification, data incremental backup, automatic recovery process and backup data storage and management. According to the micro-service identification and classification technology, services needing to be backed up can be identified, and classification is carried out according to the characteristics and importance of the services so as to ensure that data of key services are protected preferentially. The data incremental backup technology focuses on only backing up the data which changes since the last backup, so that the volume of the backup data and the time required by the backup are reduced. The automatic recovery process ensures that the recovery operation can be quickly executed under the condition that the data is lost or damaged, and the service interruption time is shortened. The storage and management technology of the backup data relates to the guarantee of the security, consistency and availability of the data, and the long-term storage and compliance management of the backup data.

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 present invention discloses a computer video interface line electromagnetic radiation signal detection and image restoration method, the steps are as follows: using wireless electromagnetic spectrum signal receiving equipment, combined with VESA video standards, for TEMPEST frequency points, according to the set sampling rate, the HDMI / VGA interface cable radiation signal is sampled; time-frequency conversion is performed on the sampled data, and parameters such as line period and field start position are extracted; on the premise of determining the line frequency and field start position, video period synchronization is performed to obtain field frequency parameters; line tracking search is performed to extract image frame data; grayscale processing and multi-frame overlapping processing are performed on the image frame data to restore the video image. The present invention simplifies the computer video interface line electromagnetic radiation signal detection method, quickly extracts line frequency parameters, field start position, etc., performs line tracking to extract image frame data, and meets the needs of restoring video images from the computer video interface line electromagnetic radiation signal.