478results about How to "Improve retention" patented technology

The invention provides a virtual fitting method and device, multi-target personalized virtual fitting is realized through a multi-target and multi-mode virtual fitting model, and the virtual fitting device comprises a multi-mode feature interlaced learning attention module (MFILA) and a parallel denoising UNet module. Wherein the MFILA module realizes multi-modal condition feature coding through a multi-modal feature fusion module (MFF) and a multi-reference target texture feature extraction module (MRSTF), and the parallel denoising UNet module is mainly responsible for denoising generation. A user uploads a model clothes graph, a target fitting clothes style graph and corresponding text cues, and the system gradually generates a denoised virtual fitting result from pure noise through an MM-VTON model by taking the inputs as conditions. According to the method, the reality sense and the accuracy of virtual fitting are improved by utilizing an advanced image generation technology and multi-modal learning, meanwhile, the demand of computing resources is reduced, and the method has relatively high practical application value and a wide market prospect.

The invention provides a remote sensing image road segmentation method combining bidirectional multi-level road feature dynamic fusion and double-context dynamic extraction, and belongs to the field of road segmentation. The problems of shielding and difficulty in distinguishing road levels existing in the current road segmentation network are solved; comprising the following steps of data set production, model construction, model training and result prediction. The invention designs a bidirectional multi-level road feature dynamic fusion and double-context dynamic extraction module. The bidirectional multi-level road feature dynamic fusion module effectively compensates the problem of spatial information and edge detail loss caused by continuous down-sampling through bidirectional interactive transmission of multi-level feature information, and enhances the understanding of the model for complex scenes and multi-level road structures. The double-context dynamic extraction module realizes dynamic fusion of long-distance and local multi-scale context information, is helpful for suppressing background interference, shielding effect and confusion of similar road structures, and ensures the integrity and continuity of extracted roads.

The embodiment of the invention discloses a preparation method of exosome-loaded hydrogel, the exosome-loaded hydrogel and application of the exosome-loaded hydrogel. A specific embodiment of the method comprises the following steps: carrying out oxidation treatment on hyaluronic acid; carrying out mixed reaction on oxidized hyaluronic acid and methacrylic anhydride under a preset environmental condition to obtain a first mixed solution; performing dialysis and freeze-drying treatment on the first mixed solution to obtain target oxidized hyaluronic acid; adding the target oxidized hyaluronic acid into the exosome solution to obtain an exosome-loaded oxidized hyaluronic acid solution; the exosome-loaded oxidized hyaluronic acid solution and polylysine are subjected to a mixed reaction, the exosome-loaded hydrogel is obtained, and the mass ratio of target oxidized hyaluronic acid to polylysine in the exosome-loaded hydrogel ranges from 1 to 2. According to the embodiment, the mechanical property and controllable degradability of the exosome-loaded hydrogel can be improved, so that the applicability of the exosome-loaded hydrogel and the retention capacity and activity of the exosome are improved.

The invention discloses a polymer drug-loaded particle for targeted adhesion to an intestinal inflammation area and a preparation method and application thereof.The method includes the steps that degradable polymer drug-loaded particles are subjected to surface modification through polycations and then added into a monomer solution of an adhesion layer, particle surface in-situ polymerization is initiated through ultraviolet irradiation, and a PAN adhesion layer is formed; the adhesion layer modified polymer drug-loaded particles are obtained. Wherein the polycation is used as a middle layer, so that the PAN adhesion layer can be successfully modified. Carboxyl in the adhesion layer enables the particles to present negative charges, meanwhile, succinimide ester can react with amino naturally existing on the surface of inflammatory intestinal tissue to generate an amide covalent bond, and finally targeted adhesion of the intestinal inflammation part is achieved. According to the adhesion strategy, the PAN can be effectively applied to the micro-nano-scale drug-loaded particles so as to enhance the adhesion of the micro-nano-scale drug-loaded particles in an intestinal tract damaged area, and a brand new thought is provided for treating inflammatory intestinal tracts.

The invention discloses injectable hydrogel for eye drug sustained release and a preparation method and application thereof.The method comprises the steps that a NaIO4 solution is dropwise added into a hyaluronic acid solution, after the reaction is conducted in a dark place at the room temperature, ethylene glycol is added for continuous reaction, and formylated hyaluronic acid is prepared; the preparation method comprises the following steps: adding adipic dihydrazide into a carboxymethyl cellulose solution, uniformly stirring at room temperature, adding 1-hydroxybenzotriazole and 1-ethyl-(3-dimethylaminopropyl) carbodiimide hydrochloride, and stirring to react, so as to prepare aminated carboxymethyl cellulose; and mixing the PBS solution of aminated carboxymethyl cellulose with the PBS solution of formylated hyaluronic acid, uniformly stirring, adding a to-be-carried drug and a FeCl3 solution, and carrying out a reaction to prepare the injectable hydrogel for sustained release of the eye drug. The hydrogel is convenient to use and high in gelation rate, effectively realizes controllable release of drugs, and has a wide application prospect in the field of biological medicines.

The invention discloses a road and bridge deck disease identification method based on deep learning. The method comprises the following steps: acquiring a road and bridge deck disease image data set; constructing a road and bridge deck disease recognition model, and training the road and bridge deck disease recognition model based on the road and bridge deck disease image data set to obtain a trained road and bridge deck disease recognition model; the road and bridge floor disease identification model is constructed and obtained on the basis of a YOLOv9 network framework in combination with a CARAFE up-sampling module and a Triplet Attention mechanism; and obtaining a to-be-identified road and bridge surface image, and inputting the to-be-identified road and bridge surface image into the trained road and bridge surface disease identification model to obtain a disease identification result of the to-be-identified road and bridge surface image. According to the method provided by the invention, the problem of low recognition precision of an existing algorithm in different application scenes is effectively solved, and multiple disease types in road surface and bridge environments can be effectively and accurately recognized.

The invention relates to appearance defect visual detection equipment which comprises a conveying assembly, a supporting frame is fixedly connected to the upper surface of the conveying assembly, a detection camera is fixedly connected to the inner top wall of the supporting frame, a mounting frame is fixedly connected to the upper surface of the conveying assembly, and a shell is arranged on the inner wall of the mounting frame; a cleaning brush assembly is arranged in the shell, and a dust removal part which is close to the cleaning brush assembly and carries static electricity is arranged in the shell. According to the dust removal device, the output end of the cleaning motor drives the driving roller to rotate, then the driving belt is driven to move under cooperation of the driven roller, then the bristles are driven to move, the dust removal part is arranged, dust in the bristles close to the dust removal part is adsorbed according to the electrostatic adsorption principle, and the dust in the bristles is removed through cooperation of the driving belt; during cleaning, part of the bristles contaminated with dust are moved to the upper portion so as to be attached to the dust removal part, and therefore the visual inspection equipment for the appearance defects has the effect of being high in cleaning efficiency.

The invention relates to a fusion sorting recommendation method and system based on multi-path recall, and belongs to the field of recommendation systems. Comprising the steps of obtaining commodity information and an interaction behavior between a user and a commodity; calculating a first recommendation score of each commodity through a content-based recall mode on the basis of the similarity between the commodity attribute features and the user portraits; calculating a second recommendation score of each commodity through a recall mode based on collaborative filtering based on the user behavior characteristics; based on click rates of different recall modes, performing weighted average on the first recommendation score and the second recommendation score, and calculating a weighted average score of each commodity; sorting the commodities in a descending order according to the weighted average score to obtain a commodity recommendation list; and preprocessing the commodity recommendation list to generate a final recommendation list. And the correlation, diversity and effectiveness of recommendation results are improved.

The invention discloses a long text information processing method and device, computer equipment and a storage medium, and belongs to the technical field of artificial intelligence. The method comprises the following steps: performing semantic recognition on an original text to obtain text semantic features; based on the text semantic features, using a large language model to generate question and answer pairs related to the original text; determining an embedding position of the question and answer pair in the original text, and performing text combination on the original text and the question and answer pair based on the embedding position to generate an initial long text; combining the initial long text and the question-answer pair to construct a long text question-answer data set; performing long text generation training on the large language model by using the long text question and answer data set to obtain a long text generation model; and obtaining a to-be-processed text input by a user, and using the long text generation model to obtain a long text generation result. The invention further relates to the technical field of block chains, and the to-be-processed text is stored in a block chain network. According to the method, the loss risk of intermediate information is reduced, and the accuracy and integrity of the generated text are improved.

The invention discloses an image denoising method and system based on an adversarial frequency mixing technology, and belongs to the field of image processing. The method comprises the steps of obtaining a training data set of a noise-containing image and a noise-free image, inputting the noise image into a denoising network, predicting an initial denoised image, converting the noise image and the initial denoised image into a frequency domain by using Fourier transform, extracting a low-frequency band, a middle-frequency band and a high-frequency band in a layered manner, generating a mixed mask of each frequency band, and outputting the mixed mask of each frequency band. A mixed frequency band is obtained and recombined, a mixed noise image is obtained through inverse Fourier transform, the mixed noise image is input into a denoising network, and a final denoising image is obtained; determining a first loss function based on the initial de-noised image, the final de-noised image and the noiseless image, and training and optimizing a de-noising network; and inputting a to-be-denoised image into the optimized denoising network, and outputting a target image. The method can effectively solve the problem that the existing denoising network is insufficient in generalization ability when facing unknown noise distribution.

The invention relates to the technical field of unmanned driving, in particular to a road centering keeping method and device based on vehicle driving track prediction, and is used for lane centering keeping of large-curvature turning. According to the method, the curvature of the lane is determined by using an image to recognize the lane line, and if the curvature is large, the method is switched to the road centering keeping method based on trajectory prediction. According to the method, the position of the next moment is predicted by obtaining the driving state data of the vehicle and combining the vehicle kinematics model during centering keeping, and due to the fact that the time interval is small, the prediction result is accurate. Then determining a drivable area of a lane and a center line of the drivable area by combining image recognition and millimeter wave radar, and intercepting a reference position from the center line; comparing the predicted position with the reference position, if the deviation is large, adjusting the driving state data of the vehicle, and circularly executing the process to continuously correct the position of the vehicle when the vehicle is close to the center line of the drivable area.

The invention discloses a chemical raw material detection method and system based on an adversarial network, a medium and equipment, and relates to the technical field of power demand response. The method comprises the following steps: acquiring to-be-detected chemical raw material data; a chemical raw material detection model is constructed, the chemical raw material detection model is trained, and the training steps comprise: obtaining a known chemical raw material data set, learning chemical raw material data based on a superposition state of quantum bits to construct a hidden space, and expanding the chemical raw material data set by using an adversarial network with the hidden space; and training a chemical raw material detection model by using the expanded chemical raw material data set, and detecting the to-be-detected chemical raw material data by the detection model to obtain a chemical raw material identification result. According to the method, the chemical raw material data is expanded through the generative adversarial network based on the multi-quantum superposition state, the problem that the model generalization ability is poor due to insufficient training samples is effectively solved, and the accuracy of the detection result is improved.

According to the method, bacillus licheniformis bacterial liquid and calcium ion liquid are sequentially, slowly and evenly sprayed on the surface of a soil body, soil particles on the surface of a slope are cemented, a layer of calcium carbonate protection film is formed on the surface of the soil body, the anti-scouring capacity of the soil body can be effectively improved, flowing of the soil particles is reduced, and plant growth is protected; the adopted bacillus licheniformis can also increase the number of effective microbial communities in soil, improve the root system environment, promote plant growth, inhibit reproduction of harmful microorganisms, improve the granular structure of the soil, improve the soil, regulate the pH value of the soil, improve the water storage, energy storage and heat preservation of the soil, improve the disease resistance of crops and promote the maturity of plants; after vegetation grows, the effect of water and soil conservation can be improved, generated calcium carbonate can also bond soil particles, water and soil loss is reduced, bacillus licheniformis plays a dual role, multiple utilization of resources is achieved, and wide application prospects are achieved.

The invention discloses a source code vulnerability detection method based on multi-dimensional feature fusion, which comprises the following steps of: firstly representing a source code as a program dependency graph, and then slicing the program dependency graph to reduce complexity to obtain a slice dependency graph; then, the source code is converted into vector representation through naming standardization and a Doc2Vec technology, and semantic information is reserved; next, embedding learning is carried out on the slice image in the hyperbolic space and the Euclidean space respectively, vulnerability features under different perspectives are captured, and comprehensive and deep analysis of the source code is achieved by combining the hierarchical structure representation capability of the hyperbolic space and the local feature capture capability of the Euclidean space. And finally, designing a fusion strategy, effectively fusing the features extracted from the two spaces, and carrying out vulnerability classification prediction by a classification prediction module comprising a multi-layer perceptron. According to the method, comprehensive and deep analysis of the source code is realized, and potential vulnerabilities in the source code are identified and positioned more accurately.

The invention relates to a pet health discrimination method and device based on a gradient lifting xgboost model. The method comprises the following steps: S1, acquiring a historical detection data record of an intelligent pet cat litter basin; s2, performing data set division and xgboost model verification and training on the historical detection data by adopting a data set division method of ten-fold cross validation, and optimizing the xgboost model in each cross validation; s3, performing identification model training based on an xgboost algorithm according to the historical detection data to obtain a cat health condition discrimination model corresponding to the intelligent pet cat litter basin and health index importance corresponding to the pet cat litter basin; s4, monitoring the performance of the xgboost model, and performing incremental updating of the pet health discrimination model and continuous optimization of feature selection according to historical detection data and new detection data; and S5, smoothing the pet health index to obtain a warning threshold value of the intelligent pet cat litter box, and when the real-time detection data of the intelligent pet cat litter box exceeds the warning threshold value, performing pet health abnormity warning on a pet owner.

A slope protection layer is formed by mutually connecting a plurality of slope protection building blocks, the slope surface is decomposed into a plurality of small step planes, the slope protection surface achieves zero soil loss, the water and soil conservation effect is remarkable, and the greening effect is lasting. A plurality of steps are laid in the inclined direction of the slope body, the adjacent steps are staggered, so that the whole slope surface is in a staggered step shape, when flowing downwards from the slope surface, water flow gathers at the splicing position of the slope protection building blocks, a turbulent flow energy dissipation area is formed, and water flow energy is remarkably reduced; different interlocking structures are arranged between two adjacent slope protection building blocks of each step and between the third slope protection building block of the adjacent step, so that the overall stability of the slope protection structure is greatly improved, and the slope protection building blocks penetrate into the slope surface by arranging zigzag structures on the bottom surfaces of the slope protection building blocks, so that the slope protection structure is more stable. And the overall stability of the slope protection structure is further improved.

The invention discloses an SJP base material porous structure, a manufacturing method and application of the SJP base material porous structure in hydro-fluctuation belt ecological slope protection, belongs to the technical field of hydro-fluctuation belt ecological restoration, and aims to solve the problems of hydro-fluctuation belt bank slope erosion and water and soil loss caused by waves. The SJP base material porous structure comprises a porous structure and SJP organic solidified soil slurry; the SJP organic solidified soil slurry comprises a viscosity time-varying grouting material, soil and water; the porous structure comprises vesuvianite, a cementing material and a water reducing agent. The manufacturing method comprises the following steps: preparing the porous structure; preparing SJP organic solidified soil slurry; the SJP organic solidified soil slurry is poured into the porous structure in a vibration forming mode, and the SJP base material porous structure is obtained. The SJP organic solidified soil slurry is poured into a porous structure made of pelelith, a cementing material and the like in a vibration forming mode, so that the SJP base material porous structure not only has high strength, but also has good vegetation space and good water permeability.

The invention discloses an anaerobic ammonia oxidation sludge reinforced granulation and retention device and method, and belongs to the field of biological denitrification devices. The main body reactor sequentially comprises a sludge collection area, an internal circulation reaction area, a separation precipitation area and a gas collection area from bottom to top, anaerobic ammoxidation sludge is filled in the internal circulation reaction area, and a screen is arranged between the sludge collection area and the internal circulation reaction area. A central partition plate is arranged in the internal circulation reaction area in the axis direction of the main body reactor and divides the internal circulation reaction area into an upper circulation reaction chamber and a lower circulation reaction chamber. A sludge backflow inclined plate structure is arranged between the internal circulation reaction zone and the separation precipitation zone, and the sludge backflow inclined plate structure inclines from the upper circulation reaction chamber to the lower circulation reaction chamber. The sludge collection port of the sludge collection area returns the separated sludge with smaller particle size to the internal circulation reaction area through a pipeline, and the gas collection port of the gas collection area returns produced gas to the internal circulation reaction area through a pipeline. The device is provided with function partitions and an inclined plate structure, sludge backflow and collection are enhanced, and the sludge retention performance is improved.

The utility model discloses a composite antibacterial polyester filament, belongs to the technical field of textiles, and solves the problems that if the composite antibacterial polyester filament is required to have antibacterial performance from inside to outside, natural fibers are required to be combined together when the composite antibacterial polyester filament is required to be changed into spinning, and for pure physical spinning, the composite antibacterial polyester filament cannot have antibacterial performance inside and outside at present. Comprising a special-shaped section core wire and a plurality of outer wrapping wires, a plurality of spacing bar grooves are formed in the outer ring of the special-shaped section core wire, the spacing bar grooves are filled with a plurality of antibacterial particles, the special-shaped section core wire is arranged in a self-twisting mode, the outer wrapping wires are all arranged on the outer ring of the special-shaped section core wire, and the outer sides of the outer wrapping wires are coated with antibacterial coatings. Antibacterial particles are contained in the spacing bar grooves, openings of the spacing bar grooves are covered with the outer wrapping filaments, the particles are clamped after the special-shaped cross section core filaments are self-twisted, the internal and external antibacterial effect is ensured, natural fibers do not need to be added, and the purity of the polyester filaments is kept.

According to the nitrogen hydrochloride # imgabs0 # stine eye drops for treating allergic conjunctivitis and the preparation method of the nitrogen hydrochloride # imgabs0 # stine eye drops, the prepared eye drops can interact with the mucous layer on the surface of keratoconjunctiva by selecting specific solid lipid and a surfactant and controlling the dosage of the solid lipid and the surfactant; the retention capacity of the medicine in front of the cornea is prolonged, so that the medicine has good targeting property, the continuous release of the medicine is realized, the medication frequency can be reduced, the toxic and side effects of the medicine are reduced, the bioavailability is improved, the medication compliance of a patient is enhanced, and in the preparation and long-term storage processes, the medicine has better stability, and is suitable for popularization and application. Therefore, the problems of excessive drug due to multiple administration and poor stability of the active component nitrogen hydrochloride # imgabs1 # stine are solved.

The invention relates to the technical field of nano-liposomes, and discloses cardamonin nano-liposomes for promoting transdermal absorption and a preparation method and application thereof, the cardamonin nano-liposomes comprise an inner phase and an outer phase, the inner phase comprises the following raw materials in parts by weight: 5-10 parts of cardamonin, 2-10 parts of lecithin and 5-20 parts of grease, and the outer phase comprises the following raw materials in parts by weight: 5-10 parts of cardamonin, 2-10 parts of lecithin and 5-20 parts of grease; the stabilizer is carboxymethyl chitosan; an external phase: 0.1-5 parts of a surfactant, 0.1-3 parts of a stabilizer, 10-20 parts of short-chain alcohol and 44.9-80 parts of water; the mixture of the external phase and the internal phase is sequentially subjected to homogenization treatment and microjet homogenization treatment, and the cardamonin nano-liposome for promoting transdermal absorption is prepared. The cardamonin nano-liposome for promoting transdermal absorption provided by the invention is a flexible liposome, and can moisten skin and reduce moisture loss on the skin surface; the transdermal amount and retention amount of the carried components are obviously improved; the permeability of the cardamonin to the skin cell membrane is enhanced.

The invention discloses a composite heat preservation floor, and particularly relates to the technical field of composite floors, the composite heat preservation floor comprises a basic reinforcing layer, a high-heat-conduction composite layer, a heat conduction liquid pipe and a heat conduction reinforcing layer, and a solid wood layer is arranged on the upper end face of the basic reinforcing layer; the efficient heat conduction network is formed through tight combination of the heat conduction enhancement layer and the metal copper wire net, and heat generated by floor heating can be rapidly and evenly dispersed to all areas of the heat conduction enhancement layer through the grid structure of the metal copper wire net; due to the uniform heat distribution, the temperature gradient formed by heat in the heat conduction enhancement layer is greatly reduced, the loss and retention of the heat in the conduction process are reduced, the heat is effectively reserved in the indoor space, a large amount of heat energy can be stored when floor heating heat is absorbed through the heat conduction liquid pipe, and after the indoor temperature reaches a set value, the heat conduction liquid pipe is closed. Even if heat supply of floor heating fluctuates or pauses, heat stored in the heat conduction oil can be slowly released, and indoor heat can be kept in the space for a longer time.

The invention relates to an innovative garment multi-view-angle generation method and device. Multi-view-angle images with high quality and consistency are generated through a self-adaptive local condition multi-view diffusion model. Screening and acquiring a large number of model clothing image data sets from the clothing database, and combining the data sets into clothing image pairs after screening; global and local features are dynamically selected by using a self-adaptive condition feature selection module so as to adapt to requirements of different visual angles; a united attention-based diffusion UNet network is constructed, and a cross-view interaction self-attention module and a cascade cross attention module are adopted to enhance the consistency and quality of multi-view images; the model is optimized and trained through a joint loss function, and the high quality of the generated image at the pixel and visual perception level is ensured. According to the method, the limitation of the traditional technology is broken through, the accuracy and consistency of garment view generation are remarkably improved, the innovative application in the field of garment design is promoted, and the satisfaction degree of consumers on garment display is improved.

The invention discloses a method for preparing a NaP molecular sieve / activated carbon composite material from coal gangue, belongs to the technical field of coal-series solid waste recycling, and aims to solve the technical problem that the alkali resistance and wear resistance of a coal gangue-based molecular sieve need to be further improved in the prior art. The method comprises the following steps: adding a crystallized molecular sieve into a vapor deposition device, carrying out vapor deposition to obtain a carbonized molecular sieve, and carrying out hot isostatic pressing to obtain the carbon-coated molecular sieve. And carrying out vapor deposition, hot isostatic pressing and oxidation liquid treatment, and finally cross-linking through a hydrophilic modifier to obtain the wear-resistant, alkali-resistant and hydrophilic composite molecular sieve.

The invention discloses a preparation method of a squalene and tocopherol composition microcapsule, and relates to the technical field of microcapsule preparation, and the preparation method is characterized by comprising the following steps: squalene, tocopherol and an emulsifier form a core material emulsion, Arabic gum, modified corn starch and maltodextrin are compounded to obtain a wall material emulsion, and the wall material emulsion is prepared into the squalene and tocopherol composition microcapsule. Uniformly mixing the core material emulsion and the wall material emulsion, and performing a spray drying process to obtain the squalene and tocopherol composition microcapsule. The obtained microcapsule has good thermal stability and antioxidant activity, and can well protect active components.

The invention discloses a preparation method of a bentonite-containing composite material and an application of the bentonite-containing composite material in desertification control, and relates to the technical field of composite material preparation, the preparation method comprises the following specific steps: step 1, raw material preparation and pretreatment: selecting a high-purity bentonite mineral source as a basic material, and preparing a raw material; compared with the prior art, the preparation method has the advantages that bentonite, chitosan and other natural high-molecular polymers are synergistically compounded, and plant fibers are added for modification, so that multiple remarkable advantages are brought, firstly, chitosan has numerous active functional groups and can interact with the surface of bentonite and water molecules through hydrogen bonds, electrostatic interaction and the like, and the surface of bentonite can be modified; the plant fibers contain rich cellulose, the interlaced structure of the plant fibers can be embedded into a composite system, long-term effectiveness of the material in the desert environment is guaranteed when the material encounters external force, and moreover, chitosan can be converted into organic nutrients to nourish soil and continuously improve soil fertility after being degraded, so that the soil fertility is improved; the durability of the soil improvement effect is greatly improved.

The invention discloses a desertification region soil ecology improvement and restoration system which comprises a multifunctional biochar preparation module used for collecting desertification region crop waste and preparing biochar through high-temperature pyrolysis to serve as a soil conditioner; the microbial remediation module is used for selecting drought-enduring plant species and culturing soil microorganisms; the resource comprehensive utilization module is used for collecting rainwater and establishing a water storage system; and the soil remediation device comprises a fertilization unit, an irrigation unit, a soil softening unit and a vegetation planting unit. Soil improvement is achieved through fertilization, irrigation and soil softening, the survival rate of later plants is increased, power is supplied to the soil remediation device in cooperation with the comprehensive resource utilization module, the utilization rate of renewable resources is increased, and therefore the ecological relation of mutual promotion among soil, vegetation and microorganisms is constructed; the resource comprehensive utilization module and the soil remediation device can guarantee sustainable development of the ecological relationship, and soil ecology improvement and remediation in the desertification area are achieved.

The embodiment of the invention provides a method for optimizing NAND flash memory data retention capability, electronic equipment and a computer readable storage medium. The method comprises the following steps: determining detection time under the condition that the embedded multimedia card is switched from a working state to a dormant state; under the condition that the detection time reaches a preset time threshold value, detecting an error correction code (ECC) of the firmware program; under the condition that the ECC reaches a preset detection threshold value, the detection temperature is obtained; and according to the detection temperature and the preset temperature scene division information, controlling the firmware program to carry out refreshing processing or keep the firmware program unchanged. According to the scheme of the embodiment of the invention, the firmware program can be updated in combination with the detection time and the detection temperature, and the data retention capability of the NAND flash memory is improved, so that the accuracy of subsequent data reading can be well improved.

The invention relates to the technical field of irrigation equipment, discloses intelligent agriculture and forestry irrigation equipment, and aims to solve the problem that the quality of irrigation operation is affected due to slow separation of impurities in a water storage barrel. Through the arrangement of the water storage barrel, the rotating shaft, the deflector rod and the water inlet pipe, the deflector rod is driven by the rotating shaft to rotate in the inner cavity of the water storage barrel, so that water in the water storage barrel forms vortexes, impurities in the water move outwards along with water flow under the action of the vortexes and further move downwards under the action of friction resistance between gravity and the inner wall of the water storage barrel, and in the process, the impurities are separated from the water storage barrel. The water inlet pipe extracts water flow in the center of the vortex and discharges the water flow into the spraying pile, and through the actions, the separation speed of impurities in water is increased, and the probability that irrigation operation is affected is reduced.

The utility model relates to the technical field of plug equipment, and discloses a low-height small-power plug, which comprises a tail clamp nut and a screw, the inner ring surface of the tail clamp nut is in threaded connection with a clamping jaw, the side surface of the clamping jaw is fixedly connected with a plug rubber ring, the side surface of the plug rubber ring is fixedly connected with a plug shell, and the plug shell is fixedly connected with the screw. The inner wall of the plug shell is fixedly connected with a plug sealing ring, the inner wall of the plug shell is provided with a power supply terminal and a band-type brake terminal, and the inner wall of the plug shell is fixedly connected with a rubber core. The structure of the terminal and the rubber core is redesigned, the width of the terminal is shortened from 3.0 to 2.05 mm, the distance between the power supply terminal and the band-type brake terminal is increased to 1.32 mm, the length of a barrier between the power supply terminal and the band-type brake terminal is only 1.27 mm, the electrical distance meets the 1500V high-voltage resistance test requirement of the tail clamp, a heat shrink tube sleeving process is omitted, the production efficiency and convenience of the wire harness are improved, and the production cost is reduced. The purposes of improving the performance and reducing the cost are achieved, the tail clamp nut wire covering structure is designed to be turnover, and meanwhile the packaging number is larger.