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48results about How to "Resolution Granularity" patented technology

Sludge treatment process

InactiveCN105859068AEfficient removalAchieve homogeneous mixingSludge treatmentSludgeThree stage
The invention belongs to the field of environmental protection, and in particular relates to a sludge treatment process. The sludge treatment process comprises the following steps: 1) impurity removal: use multi-stage grille to filter out the garbage in the sludge; 2) pretreatment: utilize the three-stage sludge settling tank to pretreat the sludge to obtain the first, second, and The sludge in the three-stage sludge settling tank, the sludge slurry and the supernatant after being settled in the three-stage sludge settling tank; 3) solidification treatment: respectively adopt mixing solidification and dehydration solidification methods for the first, second, and third-stage sludge sedimentation The silt and silt slurry in the pond are dehydrated and solidified to obtain silt-solidified soils A and B; 4) stacking and aging: transport the silt-solidified soils A and B to a temporary storage yard and age them for 3 to 7 days to complete the treatment. The sludge treatment process of the present invention can simultaneously process particles and sludge with high viscosity and low water content, as well as sludge slurry with fine particles, organic matter and high water content, and is especially suitable for river courses with complex components, wide particle distribution, and large water content differences silt.
Owner:GUANGZHOU WATER CONSERVANCY & HYDROPOWER STATION CONSTR ENG

Electric charge notification and customer appeal collection classification method and system based on NLP technology, and storage medium

The invention belongs to an electric power data processing technology, and relates to an electric charge notification and customer appeal collection classification method and an electric charge notification and customer appeal collection classification system based on an NLP technology, and a storage medium. The electric charge notification and customer appeal collection classification method comprises the steps of: sorting a classification knowledge graph, establishing a classification framework meeting actual demands, carrying out classification and marking of electric charge customer service work orders manually, and extracting a classification rule through iterative operation; carrying out text cleaning on the electric charge customer service work orders to be classified; constructinga professional lexicon to perform text word segmentation on the cleaned electric charge customer service work orders; using a TF-IDF algorithm to represent text vectors of the electric charge customerservice work orders; screening effective features of the text vectors by adopting an information gain method; and adopting an SVM support vector machine algorithm to classify the work orders. According to the electric charge notification and customer appeal collection classification method and the electric charge notification and customer appeal collection classification system, the complaint content can be subjected to precise word segmentation, the optimal classification of the text is calculated, the automatic classification of the customer complaint content in customer service work ordersof customer service electric charge types is realized, and the problems that the granularity of manual classification is not fine enough, the resource consumption is excessive, the classification speed is lagged and the like are solved.
Owner:GUANGZHOU BAILING DATA CO LTD

Cyclone mud-sand separation apparatus

The present invention discloses a cyclone mud-sand separation apparatus. According to the cyclone mud-sand separation apparatus, a mud-sand baffle, a support plate and a fixed frame are sequentially in a tank from bottom to top, the internal of the tank is sequentially divided into four communicated zones such as a mud-sand separation zone, a coagulation zone, a clear water separation zone and an overflow zone from bottom to top with the mud-sand baffle, the support plate and the fixed frame, a stirring shaft is arranged in the tank, the side wall of the mud-sand separation zone is provided with a water inlet pipe, the bottom portion is provided with a mud-sand effluent pipe, a hollow glass ball injecting pipe is arranged on the coagulation zone, the internal of the clear water collecting cover and the clear water outlet pipe arranged in the clear water separation zone are communicated, discharge collecting is performed from the clear water outlet pipe, a coagulation effluent pipe is arranged on the overflow zone, water containing mud-sand and hollow glass ball with the attached mud-sand are discharged from the coagulation effluent pipe so as to complete the mud-sand separation, and the hollow glass ball and the fine mud-sand particles can be combined to form the mud-sand-glass ball conjugate with the density less than the water density so as to achieve the removal of the small particle mud-sand, such that application of the Yellow River water as the irrigation water source and the wide range generalization can be achieved.
Owner:XI'AN UNIVERSITY OF ARCHITECTURE AND TECHNOLOGY

Vehicle re-identification method and system based on double attention mechanisms

ActiveCN113221911AEnhanced ability to extract featuresFine-grained feature robustnessInternal combustion piston enginesRoad vehicles traffic controlReal-time dataFeature extraction
The invention discloses a vehicle re-identification method and system based on a double attention mechanism. The method comprises the following steps: constructing a convolutional neural network for vehicle feature extraction; constructing channel attention parts for paying attention to different channels; constructing a granularity attention component used for paying attention to the feature suitable granularity; randomly selecting multiple types of vehicles in each training batch, and randomly selecting multiple images in each type of vehicles to construct batch images; carrying out real-time data enhancement on the batch images and then inputting the batch images into a convolutional neural network; constructing a cross entropy loss function and a triple loss function after smooth regularization of the batch labels, and adding the cross entropy loss function and the triple loss function to obtain an integral loss function; and carrying out feature extraction on the trained convolutional neural network, calculating Euclidean distances between the features, and reordering the distances to obtain a vehicle re-identification result. According to the invention, the fine-grained features of the vehicle image can be better obtained, and the precision and stability of the model are improved.
Owner:SOUTH CHINA UNIV OF TECH

A multi-level authority management method based on a cloud management platform

The invention discloses a multi-level authority management method based on a cloud management platform, and the method comprises the steps: dividing resource item entities allowed to be operated in the cloud management platform, and obtaining a plurality of resource item entity sets allowed to be operated, so as to obtain a plurality of authorities; And determining an access level of any one of the plurality of authorities according to a service demand, and performing modeling processing to obtain a multi-access level authority model so as to complete mapping from each sub-authority in the multi-access level authority model to an access attribute. According to the invention, the authority management of the cloud management platform is improved into multi-level authority; the stage number can be flexibly adjusted according to business requirements; User authority or project authority in a user group is automatically distributed, different access attribute (role) authorities are clearlydistributed, the repeatability of user authority configuration is reduced, the fine granularity of authority management is enhanced, authority management is more accurate and flexible, and the problems that the authority granularity is too large, the authority is inaccurate and authorization is inflexible in a traditional method at present are solved.
Owner:CHINA ACADEMY OF ELECTRONICS & INFORMATION TECH OF CETC

Potassium sulphate preparing method through thermal melting, refrigeration and double decomposition crystallization method

InactiveCN104692420ASolve the problem of low one-time yieldIncrease valueSulfate/bisulfate preparationDecompositionTwo step
The invention relates to the technical field of salt chemical engineering, in particular to a potassium sulphate preparing method through thermal melting, refrigeration and a double decomposition crystallization method. The potassium sulphate preparing method includes the following steps of 1 raw material preparation, 2 thermal melting, 3 cold separation crystallization and 4 potassium sulphate preparation through a two-stage two-step method, wherein magnesium sulfate heptahydrate or kainite reacts with potassium chloride through a traditional two-stage two-step method to prepare a potassium sulphate product. The potassium sulphate preparing method has the advantages that the problem that subtype magnesium sulfate salt lake brine is low in one-time production rate of raw materials in a traditional process is solved, the problems that in a flotation technology, the one-time yield is low, a product contains a poison potion, and the product granularity is thin are solved, a potassium sulphate product does not contain medicament and is in a particle shape, and the value of the potassium sulphate product is enhanced. The method is mainly used for the process for preparing potassium sulphate through the subtype magnesium sulfate salt lake bittern or through coastal acrid bittern or the like, good in effect and capable of generating larger economical benefits and social benefits.
Owner:MANGYA XINGYUAN POTASH FERTILIZER

Rubimaillin/chitosan nanoparticle, and preparation method and application thereof

The invention discloses a rubimaillin/chitosan nanoparticle, and a preparation method and an application thereof. The nanoparticle is a three-dimensional reticular structure formed by crosslinking chitosan with sodium tripolyphosphate, rubimaillin is fixed in the nanoparticle in a molecular form, the rubimaillin encapsulation rate is 4.58-14.64%, the average particle size of the nanoparticle is 96-467nm, and the polydispersity index, the drug loading capacity and the Zeta potential of the nanoparticle are 0.25-0.27, 5.73-28.153[mu]g/mg and 45.07-48.73mV respectively. The preparation method of the rubimaillin/chitosan nanoparticle comprises the following steps: 1, preparing a chitosan component liquid; 2, preparing a rubimaillin component liquid; and 3, adding the rubimaillin component liquid into the chitosan component liquid in a dropwise manner, fully stirring, and adding an aqueous solution of sodium tripolyphosphate of 1.0-3.0mg/mL in a dropwise manner in order to prepare the rubimaillin/chitosan nanoparticle. The nanoparticle prepared in the invention has the advantages of regular shape, small particle size, good dispersion, and obvious anti-oxidation and cancer cell inhibition effects, and is a potential antioxidant and antitumor preparation.
Owner:WUHAN INSTITUTE OF TECHNOLOGY

Manufacturing method for rolled products for nuclear grade in-pile U-shaped embedded part locating pins

ActiveCN109465602ABlank FinishingQuality assuranceNuclear gradeNiobium
The invention discloses a manufacturing method for rolled products for nuclear grade in-pile U-shaped embedded part locating pins, and aims to obtain the rolled products with uniform, fine and small-range grain structures and qualified tensile properties. The composition proportion is optimized; 3150-ton fast forging large deformation amount and single hammer reduction amount cogging is adopted, and four hammers are adopted in a 1800-ton diameter forging machine to achieve isothermal forging; the finished product rolling heating temperature is controlled at 1160 DEG C to 1180 DEG C, and secondary carbide and a gamma' strengthening phase generated by an alloy are re-dissolved, so that dynamic recrystallization of grains in the final rolling process is more uniform; small deformation mount quick rolling is adopted for the final-heating number rolling of finished products, it is guaranteed that all heating number rolling deformation is controlled to be uniform, the deformation amount is between 30% and 50%, the roller rotating speed is increased, and it is ensured that the final forging temperature is not lower than 950 DEG C. The manufacturing method has the beneficial effects that the carbon content is appropriately controlled, alloy elements such as aluminum, titanium and niobium are highly controlled, the hammer cogging and rolling processes are reasonably controlled, and thealloy rolled products with the uniform grain size structures and excellent performance are manufactured.
Owner:FUSHUN SPECIAL STEEL SHARES

Method for preparing nickel cobalt lithium manganate lithium-ion battery positive material from waste lithium batteries

The invention relates to the field of energy regeneration of lithium batteries, and provides a method for preparing a nickel cobalt lithium manganate lithium-ion battery positive material from waste lithium batteries. The method comprises the following steps: recycling the waste lithium ion batteries, dissolving into acid liquor to obtain a mixed metal solution, enabling calcium, magnesium, copper, zinc, lead, aluminum and other impurities in the mixed solution to enter an acid extractant organic phase, performing multistage refluxing on the organic phase loaded with the impurities, performing reverse extraction on the organic phase by using acid so as to regenerate the organic phase for reuse, and removing calcium, magnesium, copper, zinc, lead, aluminum and other impurities to obtain an impurity-free mixed solution; and conveying the prepared mixed metal solution and an additive solution into a freezing crystallization kettle to obtain nickel cobalt manganese lithium salt powder. By the method, nickel, cobalt, manganese and lithium elements are recycled from the waste batteries and waste positive materials, and after impurity removal, the nickel cobalt lithium manganate positive material is produced in a recycling manner so as to synthesize a regenerated product with the same performance as an original product in a directional recycling manner, so that resource reutilization of main metals in all the lithium-ion batteries is achieved.
Owner:GANZHOU XINLONG NEW ENERGY MATERIALS LTD

High-entropy alloy spherical powder for molten additive manufacturing of powder bed and preparing method and application thereof

The invention discloses a high-entropy alloy spherical powder for molten additive manufacturing of a powder bed and a preparing method and application thereof, and belongs to the technical field of additive manufacturing. The preparing method of the high-entropy alloy spherical powder for molten additive manufacturing of the powder bed comprises the following steps of high-entropy alloy wire preparing, preparing before atomizing, plasma atomizing, powder granularity grading and mixing. A plasma atomizing method is adopted, a plasma jet flow is used for melting a high-entropy alloy wire, impurity introducing caused by manners of crucible smelting and the like can be avoided, purity of a high-entropy alloy melt can be ensured, the plasma jet flow serves as atomizing media, the spheroidizingtime of broken liquid drops can be greatly prolonged, the metal liquid drops can be promoted to be solidified to form spherical powder particles, the prepared high-entropy alloy powder is high in sphericity degree, smooth and compact in surface, free of satellite balls and hollow powder, good in powder fluidity, low in oxygen content and few in impurity, and the property requirement of molten additive manufacturing of the powder bed for the high-property metal powder can be met.
Owner:SOUTH CHINA UNIV OF TECH

Character interaction relationship detection method, device and system

The invention discloses a character interaction relationship detection method, device and system. The method comprises the following steps: acquiring a to-be-detected video segment, wherein the video segment comprises a preset character interaction action; inputting the video segments into a pre-trained target detection network for framing target detection to obtain a preset first object detection point which is corresponding to each frame of image and possibly interacts with a human body; performing framing processing on the video segment, and extracting a preset first human body skeleton point of each frame of image; and connecting the first object detection point with the first human body skeleton point according to a preset connection mode, constructing a first space-time diagram, and inputting the first space-time diagram into a pre-trained space-time diagram convolutional network model to obtain a detection result of the character interaction action. The invention can solve the problems of time consumption, complex calculation and lack of fine grit caused by detecting all objects in a scene, only paying attention to the overall characteristics of a human body and analyzing the interaction relationship between the human body and the objects in the prior art.
Owner:西安电子科技大学广州研究院

Peanut sowing seed-metering device with adjustable particle size

InactiveCN102668785AResolution granularitySolve the problem of not being able to sow accuratelySeed depositing seeder partsSeederEngineering
The invention provides a peanut sowing seed-metering device with adjustable particle size. The peanut sowing seed-metering device comprises an adjusting disc, a discharge plate, elastic baffles and a fixing bolt. The adjusting disc and the discharge plate are fixedly connected through the fixing bolt, so that the friction between seeds in inner cells and a shell of a seed box of the seeder is avoided, the seeds are protected, and the germination rate of the seeds is improved; the elastic baffles are clamped on a circumferential outer wall of the adjusting disc through elastic force, and are opposite to the positions of feed preparation holes one by one; two groups of positioning holes are formed in the adjusting disc, and are matched with positioning holes in the discharge plate respectively; and the device is suitable for seeding large peanuts when the elastic baffles are positioned at the feed preparation holes, and is suitable for seeding small peanuts when the elastic baffles are positioned at the inner cells, so that the classified seeding for seeds with different particle sizes is realized, the double grain rate and accuracy of the seeding are improved, the seeds of peanuts are effectively saved, and the workload of the thinning of laborers is reduced.
Owner:SHANDONG UNIV OF TECH

Data possibility-reliability distribution-based type-II prediction set security assessment method

The invention belongs to the field of assessment of actual projects of large buildings, public facilities, precision equipment and the like, and particularly relates to a data possibility-reliabilitydistribution-based type-II prediction set security assessment method. The method comprises the steps of firstly defining type-II prediction sets and related concepts based on possibility and reliability distribution, and proposing a similarity measurement method for the type-II prediction sets; secondly, according to an assessment demand, determining a heterogeneous data security level scale, establishing joint distribution, and performing fusion on type-II distribution for to-be-assessed heterogeneous data by utilizing a weighted fusion method; and finally, calculating similarity measure between the fusion distribution and the security level scale, determining the position of a centroid in the projection surface of a joint scale, and judging a security level. An experimental result showsthat by applying the method to the judgment of the security level of a tailing dam, the granularity of an assessment result can be effectively reduced, the misjudgment problem is reduced, and the convenience is provided for accurate interpretation of the security level of a dam body.
Owner:ZHONGBEI UNIV
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