204results about How to "Improve grading effect" patented technology

A pneumatic particle size classifying device for solid particles comprises a fluidized bed main body, a cyclone separator, material inlets, an air distributing system, a secondary air port, a coarse material outlet and a fine material collecting and discharging system. The material inlets are positioned on the middle upper portion of the fluidized bed main body and are distributed on four walls in a multi-point manner, the hopper-shaped air distributing system consists of an inclined air distributing plate, the coarse material outlet is arranged in the center of the inclined air distributing plate, the fine material collecting and discharging system consists of a fine material collecting chamber and an intermittent discharging valve and is directly connected with a lower particle outlet of the cyclone separator, or the fine material collecting and discharging system can consist of a fine material collecting chamber and a fine material discharge port and is connected with a particle outlet of a feedback valve. The pneumatic particle size classifying device is simple in structure, effective pneumatic particle size classification for selective coking coal particles is carried out by fluidization technology, retaining time of the particles in the bed body can be effectively prolonged, the pneumatic particle size classifying device is stable in running and fine in separation effect, and energy and coking coal resources are greatly saved.

The invention discloses an apple grading method and system based on machine vision, and the method comprises the steps: collecting a set number of sample images, and building a sample image set; collecting a to-be-detected sample image, and carrying out image preprocessing; performing feature extraction on the sample to be detected; respectively extracting a color feature, a fruit shape feature, a fruit diameter feature and a surface defect feature of the to-be-detected sample image; establishing a classification standard, and establishing a classification model of sample characteristics and grades by utilizing a genetic algorithm and a BP neural network; and inputting the extracted color feature, fruit shape feature, fruit diameter feature and surface defect feature of the to-be-detected sample image into the classification model, and outputting the grade classification of the to-be-detected sample. The method has the advantages that clear apple surface images can be obtained, and classification errors are reduced. The BP neural network model optimized based on the genetic algorithm can accurately classify apples, and the classification efficiency of the apples is greatly improved.

The invention relates to a size-fractionated pre-selection tailing discarding process of extremely-poor hematite. The process comprises a step of carrying out semi-autogenous grinding to obtain semi-autogenous grinding discharge ore with a particle size of 14-0mm. The process is characterized by screening; carrying out coarse grain pre-selection I; carrying out coarse grain pre-selection II; carrying out first-section closed-circuit grinding; carrying out coarse grain pre-selection operation III; and carrying out second-section closed-circuit grinding. A three-layer linear vibrating screen isadopted for screening. In four products, the product with a size fraction of-14 mm to 10 mm is returned to semi-autogenous grinding. The coarse grain pre-selection I and the coarse grain pre-selectionII are used for pre-selecting a -10mm-6mm size fraction and a -6mm-2mm size fraction. Coarse-grain tailings are thrown out, coarse-grain concentrates are combined and fed into first-section closed-circuit ore grinding, a first-section closed-circuit ore grinding product and the screened -2 mm size fraction are fed into coarse-grain pre-selection operation III for pre-selection tailing discarding,coarse-grain pre-selection operation III concentrates are fed into second-section closed-circuit ore grinding, and second-section closed-circuit ore grinding overflow is fed into subsequent sorting operation. The process has advantages that discharge ore is divided into narrow grades for respective pre-selection; qualified coarse grain tailings are thrown out; and a problem of stubborn stone accumulation is solved, and a processing capacity of a semi-autogenous mill is improved.

The invention relates to a liver image segregation method based on hierarchy vessel tree division. The method comprises the steps that firstly, a directed tree is utilized to represent a topological structure of a liver portal vein vessel, then according to space distribution and branch average radius information of the liver portal vein vessel in a specific clinical case image, vessel hierarchical parameters are determined and a hierarchical vessel tree is created, a second-level subtree set providing blood for a liver is marked, marked second-level subtrees are divided into eight kinds according to blood supplying areas, the liver is divided into eight hepatic segments through the adoption of the shortest distance algorithm to be analyzed, and clinical interesting information is extracted. According to the method, for liver vessels with multiple branches and complex structures, good hieratical effects can be obtained, blood supplying effects of most second-level branches are considered, and hepatic segment distribution and attribute information obtained through segregation also accord with the Couinaud hepatic segmentation theory.

The invention discloses a method taking an organic solvent as a medium for grading nano-nickel powder for an MLCC (multilayer ceramic capacitor), which comprises the following steps of: taking metal nickel powder in the average particle size of below 1000nm as raw materials, adding into the organic solvent and mixing so as to get a solid-liquid system; then performing mechanical dispersion treatment to get slurry; sending the slurry into a cyclone through a booster pump, controlling the pressure of the slurry at an inlet of the cyclone at 0.1-2.0Mpa, controlling the flow rate at a material inlet of the cyclone at 10-200L/min, and controlling the flow rate at an underflow port of the cyclone at 2-20L/min; and collecting the slurry overflowed from an overflow port of the cyclone to get the nickel powder with the required particle size distribution. The method has the advantages of not only ensuring the grading efficiency of the cyclone, but also preventing affecting the surface morphology of the powder.

The invention relates to a rice producing process. The process comprises the following steps of (1) drying, (2) metering, (3) clearing, (4) stone removing, (5) shelling, (6) separating, (7) rice milling, (8) first grading, (9) rice cooling, (10) first polishing, (11) color sorting, (12) secondary polishing, (13) secondary grading, namely repeating the step (8), (14) storing and (15) quantitative packing. The preservation time of rice can be effectively prolonged, and deterioration can be avoided; the brightness of the rice can still be kept by the secondary polishing; crushed rice is prevented from reoccurring in the last procedure by the secondary grading and the grading effect is ideal; meanwhile, the problems such as non-timely packing can be avoided; the product quality of the rice can be improved and the economical risk of relevant production enterprises can be greatly reduced.

The invention discloses a method for synthesizing a wide-particle-size-distribution nickel-cobalt-aluminum positive electrode material precursor through continuous coprecipitation. Through coprecipitation in a reactor, spherical nickel cobalt aluminum hydroxide powder with wide particle size distribution is synthesized. In the synthesis process, two stages of starting kettle reaction for constructing particle size gradient and maintaining particle size stability are carried out separately, process parameter control is carried out according to different pH value process conditions; overflow liquid is subjected to synthesis treatment for eliminating micro powder, so that the nickel cobalt aluminum hydroxide powder with wide particle size distribution is obtain; and after solid-liquid separation, residues in the powder are removed in a reinforced washing mode, dispersity of the powder is guaranteed, and after full drying, a nickel-cobalt-aluminum positive electrode material precursor withan adjustable average particle size D50 in a range of 10-15 [mu]m and a tap density of 2.0 g/cm<3> or above is prepared. The preparation method is simple in technological process and suitable for industrial large-scale production of the nickel-cobalt-aluminum positive electrode material precursor.

The invention discloses a graded purifying method of humic acid subfractions in sludge and straw mixed compost. The method includes the following steps of a, the separation, extraction and purification process of humic acid (HA) in the sludge and straw mixed compost, wherein a humic acid coarse product in the sludge and straw mixed compost is separated and extracted, and a humic acid sample is obtained after dialysis and freeze-drying; b, the graded extraction process of humic acid (HA) in the sludge and straw mixed compost, wherein an adsorption enrichment column is leached through NaNO3 leaching solutions with five different pH values being 3, 5, 7, 9 and 13 through the adsorption performance of an XAD-8 resin and activated carbon mixed adsorption enrichment column to obtain the corresponding humic acid subfractions under different pH values. The new method is provided for obtaining the humic acid subfractions through separation and graded extraction in the sludge and straw mixed compost.

The invention provides a method for preparing a novel coal water slurry product from multiple materials. The method includes the following steps: (1) after raw coal is crushed, a material A is obtained; (2) after being modified together, sludge, optional coal slime, water and additive then undergo strong shear treatment, so that a material B is obtained; (3) the material B is ultrafinely ground, so that a material C is obtained; (4) the material A, part of the material C, water and additive are shaped and roughly ground, so that a material D is obtained; (5) after being mixed, the material D and the remaining material C undergo strong shear, and thereby the coal water slurry product is obtained. The grain size distribution of the multi-material coal water slurry prepared by the preparation method is reasonable, and the novel coal water slurry product has good stability, flowability and good atomizing effect, and is also applicable to the preparation of fuel and gasified coal water slurry; in addition, the preparation method is easy to implement, energy consumption is low, and the problem on how to utilize sludge and coal slime on a large scale can be reasonably solved.

The invention discloses multistage automatic particle classifying equipment for an amorphous refractory. A classifying assembly is installed in a shell. A motor is connected to the bottom end of a rotary shaft. A sieve plate is evenly connected to the middle of the rotary shaft in a sleeving mode. A support ring is welded to the position, close to the bottom end of a locating ring, of the inner wall of the shell. A sweeping assembly is installed on one side of the shell. Balls are inlaid in both the top end and bottom end of the interior of a sweeping opening. Bristles are installed at the bottom end of a sweeping plate. During classifying, the motor drives the sieve plate to rotate, along with rotation of the motor, under the action of centrifugal force, raw materials are thrown out alongthe top face of the sieve plate and are then discharged from a discharge pipe, discharge is convenient, and the raw materials are not liable to be accumulated. When the raw materials are fed in, along with rotation of a connection rod, the raw materials are scattered by the connection rod and are dispersed more evenly, and screening and classifying effects are better. After screening is completed, the sweeping plate is conveyed in through the sweeping opening, the sieve plate rotates, the sweeping plate is pulled back and forth, the surface of the sieve plate is swept by the bristles, and sweeping is convenient and fast.

The invention relates to a fuzzy closed circuit self-turning dynamic hydraulic cyclone classifier which is characterized by comprising a reducing underflow pipe, a tapered cylinder body, a slurry inlet pipe, sealing rings I, a valve, a slurry inlet particle size analyzer, a slurry inlet pressure gauge, a slurry inlet flowmeter, a reducing pipe, a control computer, an overflow cylinder body, a motor, a bearing, a sealing ring II, a bearing cover plate, an overflow pressure gauge, an overflow flowmeter, an overflow particle size analyzer, an overflow pipe, a cylinder body, a center shaft and an impeller. The classifier can achieve an optimal classification effect by replacing the reducing underflow pipes with different diameters according to the particle size composition properties of different minerals, can improve the rotating separation strength of slurry body particles in the cylinder body, and is high in automation degree and control precision, and good in classification effect.

The invention discloses a novel powder selecting machine capable of uniformly scattering a material, which comprises a cylindrical shell, a support base used for supporting the shell, a motor, a speed reducer, a coupling device, a rack and a rotating part arranged in the shell, wherein the rotating part comprises a spindle and a rotor, and an annular material scattering plate is fixedly arranged at the top of the rotor; the material scattering plate is provided with two layers, and comprises a top-layer material scattering plate and a bottom-layer material scattering plate, and the top-layer material scattering plate is arranged under a material inlet of the powder selecting machine; and an annular first-stage baffle plate is arranged correspondingly to the outer edge of the top-layer material scattering plate, the bottom-layer material scattering plate, the diameter of which is larger than the diameter of the top-layer material scattering plate, is arranged under the top-layer material scattering plate, an annular second-stage baffle plate is arranged correspondingly to the outer edge of the bottom-layer material scattering plate, the first-stage baffle plate and the second-stage baffle plate are both fixedly connected with the shell, the lower part of the first-stage baffle plate is corresponding to the plate surface of the bottom-layer material scattering plate, and the lower part of the second-stage baffle plate is corresponding to a material grading zone of the powder selecting machine. The powder selecting machine disclosed by the invention can make the material uniformly and loosely enter into the material grading zone, and enhance the grading precision of the material.

The invention relates to an inclined sieve tray type tea grader. The inclined sieve tray type tea grader comprises a rack, a transmission mechanism, a corner rotating device and a screening device. The screening device is formed by stacking multiple sieve trays. The size of screen holes is reduced layer by layer from top to bottom. The transmission mechanism is mounted on the rack. The corner rotating device is in linkage with a main shaft of the transmission mechanism. The screening device is in linkage with an output shaft of the corner rotating device. In the operation process, the screening device rotates and moves. For the screening device, two rotating modes can be selected; according to the first rotating mode, the main shaft of the transmission mechanism serves as the center to conduct pure rolling and rotating in the axial direction; and according to the second rotating mode, an output shaft of the corner rotating device serves as the center and rotates. Tea is put into the center of the upper sieve trays on the screening device and rolls on the screening face, the tea of which the size is smaller than that of the screen holes falls into the lower-layer sieve trays, and the tea of which the size is larger than that of the screen holes is discharged through tea discharging openings in the sieve tray edge rings. The inclined sieve tray type tea grader has the beneficial effects that the tea grading effect is good, efficiency is high, the tea damage rate is low, the structure is simple, and operation is easy and convenient. Appropriate screen cloth is selected and used, and the inclined sieve tray type tea grader can be used for screening and grading fresh tea leaves and purified tea.

Computer vision-based fruit classifying equipment comprises two supporting frames, wherein the two supporting frames are both rotationally connected with rotating shafts; one end of one rotating shaftis fixedly connected with an output shaft of a driving motor; the rotating shafts are rotationally connected with belt wheels; the two belt wheels are connected through a conveyor belt; a plurality of transportation bodies are uniformly distributed on the conveyor belt; a computer vision identification device is arranged above the supporting frame which is arranged at the left side. The computervision-based fruit classifying equipment disclosed by the invention has the beneficial effects that the computer vision identification device is used for automatically classifying and discriminating fruits, and then a material pushing device is used for pulling the fruits from the transportation bodies to the inner parts of material storage boxes, so that intelligent classification treatment of the fruits is realized, a classification effect of the fruits is effectively increased, the labor is saved, and wide popularization and application value is obtained; rubber gaskets are capable of effectively preventing the loss of the fruits; in addition, springs have an effective buffer function, so that a protection effect on the fruits is further increased.

The invention provides an automatic walnut sorting device. Leaking holes which are enlarged gradually are formed in the bottom face of a grading channel from high to low at intervals. Pressure detection devices are installed on the hole walls of the leaking holes. Blowing pumps are arranged at the lower end of the grading channel, and the blowing directions of the blowing pumps right faces towards the leaking holes. When walnuts roll to the positions of the leaking holes, if the diameter of the walnuts is smaller than that of the leaking holes, the walnuts fall into a collecting frame, the walnuts with the diameter being larger than that of the leaking holes continue to roll and fall into the leaking holes with the diameter being larger than that of the walnuts, when the diameter of the walnuts is slightly larger than that of the leaking holes, the walnuts are stuck in the leaking holes, at the moment, a controller receives the information that the pressure monitors detect compression objects existing over the leaking holes, and a signal is transmitted to the blowing pumps so that the foreign bodies blocking the holes can be blown away. The automatic walnut sorting device has the advantages of being reasonable in structure design, high in working efficiency, good in grading effect, simple in structure, reliable in work and high in stability.

Disclosed are a gravity classification and immersive screen combined classifying method and a device utilizing the same. Interference settlement, shallow settlement and screening classification are combined by arrangement of immersive screens, a water raise pipe and inclined plates. Materials are classified by a first screening classification chamber, an interference settlement classification chamber, a shallow settlement classification chamber and a second screening classification chamber in a multiple stage manner, so that classification effect of the materials is enhanced. Since fluid pressure provides power for classification of the materials, classification effect is enhanced further while power loss is saved. The adaptability of the device to flow states of fed materials is improvedgreatly. The usage of raise water is reduced, and the unit area treatment capacity and classification efficiency of the device are improved. The overflow grain size is controlled severely. The devicehas the main function of classifying and the auxiliary function of screening, and is simple and compact in structure, small in floor area, simple in operation method and wide in practicability.

The invention discloses a pulping system of a papermaking production line and belongs to the technical field of paper making. The pulping system comprises a crushing part, a screening and purifying part and a dispersing and pulping part, wherein the crushing part comprises a chain scraper conveyor, a hydropulper and a primary-section high-concentration desander which are sequentially connected; the screening and purifying part comprises an unloading tower, a pressurized screen, a desander and a sizing screen which are sequentially connected, and the primary-section high-concentration desanderof the crushing part is connected with the unloading tower; and the dispersing and pulping part comprises a multiple-disc concentrator, a screw extruder, a rapid heater, a thermal dispersion machine,a pre-grinding tank, a disc grinder and a pulping tower which are sequentially connected, and the sizing screen of the screening and purifying part is connected with the multiple-disc concentrator. According to the system disclosed by the invention, a pulping process is refined in three parts, paper pulp is also better purified and sized on the premise that the pulp yield of paper pulp is guaranteed so as to obtain high-quality paper pulp, and production requirements of different papers are met.

The invention relates to a method for grading skinned pig half carcass, in particular to a method for grading skinned pig half carcass in three-way cross pigs. The method for grading pig carcass with good grading effect is not available at present. The method comprises the following procedures: selecting and preparing carcass, and the invention is characterized in that the method further comprises the following procedures: weighing carcass and fat, measuring flesh, measuring tail fat and grading carcass, wherein, in the procedure of selecting and preparing carcass, the weight grade index table is inquired by the weight value to acquire the weight grade, the back fat thickness grade index table is inquired by the back fat thickness value to acquire the back fat thickness grade, and the weight and fat thickness matrix table is inquired by the weight grade and the back fat thickness grade to acquire the weight-fat thickness value; in the procedure of measuring flesh, the flesh plumpness index table is inquired by the plumpness to acquire the flesh plumpness value; and in the procedure of measuring tail fat, the tail fat plumpness index table is inquired by the tail fat plumpness to acquire the tail fat plumpness value. The invention has the advantages of convenient gradation, simple procedures, low gradation cost, good effect, high accuracy and broad market outlook.

The invention discloses a device and a method for regulating potassium feldspar powder size distribution. The device comprises an air regulation system arranged on a discharge hole of a ball mill, wherein the air regulation system comprises a material bin, a main air pipe and a side direction air inlet pipe; the middle in the side direction of the material bin is connected to the discharge hole of the ball mill, one end of the main air pipe is connected to the upper end of the material bin, the other end of the main air pipe downward extends and is bent so as to form a confluence section passing through the lower part of the material bin, and the lower end of the material bin is connected to the confluence section; the side direction air inlet pipe is arranged on the confluence section and is internally provided with an air regulation switch, and a rotating baiting valve is arranged between the lower end of the material bin and the confluence section. The device and the method provided by the invention have the advantages that the air volume of the side direction air inlet pipe is flexibly adjusted in real time in a production process according to the size distribution requirement of the potassium feldspar powder, thus the size distribution of the potassium feldspar powder is adjusted, the production flexibility is greatly improved, and the product quality is easy to guarantee.

The invention relates to the field of olefin polymerization catalysts and discloses a grading method for an olefin polymerization catalyst suspension liquid. Grading is conducted in a cyclone; the cyclone comprises a cyclone body and a collecting chamber; the cyclone body comprises a cylindrical pipe section and a conical pipe section from top to bottom; a first overflow pipe in airtight connection with the collecting chamber is arranged inside the cylindrical pipe section; and the cyclone body communicates with the collecting chamber through the first overflow pipe only. The method comprises steps as follows: the olefin polymerization catalyst suspension liquid is introduced into the cyclone body via a feeding port and rotates in the cyclone body; large particles are discharged via an outlet in the lower part of the conical pipe section; and small particles enter the collecting chamber through the first overflow pipe and are discharged via an outlet in the collecting chamber. The olefin polymerization catalyst suspension liquid is graded with the cyclone, the product particle sizes at the upper outlet and the lower outlet of the cyclone can be effectively controlled, and requirements of different olefin production technologies for the particle sizes of olefin polymerization catalyst particles can be met.

The invention discloses a cancer survival analysis system based on multiple tasks and multiple modes, and the system comprises a data importing module which comprises a data loading module and a data preprocessing module; a system training module, comprising a representation learning module, a multi-omics and pathological map fusion module, a multi-task prediction module and a loss function module; and a system prediction module, used for carrying out survival analysis and grading according to the multi-omics data and the pathological map of the cancer patient. According to the invention, the deep learning technology and the multi-task learning technology are combined with the multi-omics and pathological map data, so that the complementary characteristics among the multi-modal data can be captured, and the sharing relevance among multiple tasks can also be captured, thereby forming a cancer survival analysis system based on multiple tasks and multiple modalities, and providing automatic survival analysis and cancer grading results.