71results about How to "Quick grading" patented technology

The present invention discloses a method for fast grading underground engineering surrounding rock in real time based on parameters while drilling. According to the method, a on-site drilling test is implemented; uniaxial compressive strength along the drilling depth direction of a tunnel face and a rock mass integrity index are obtained based on parameters while drilling measured in a drilling process; a relational expression of the parameters while drilling, the uniaxial compressive strength and the rock mass integrity index is built; in actual underground engineering, the obtained parameters while drilling are introduced into the above relational expression; and surrounding rock in front of the tunnel face is graded fast in real time according to a surrounding rock basic quality (BQ) index grading calculation formula. With the method for fast grading the underground engineering surrounding rock in real time based on the parameters while drilling provided by the invention, it only need to utilize a drilling machine in an engineering field to carry out a drilling test on the surrounding rock, and coring and an laboratory testing are not required, and the surrounding rock can be graded fast in real time, and grading efficiency is high; and the grade of the surrounding rock can be determined just based on the drilling parameters, and various kinds of testing modes in a traditional grading method are not required. The method of the invention has the advantages of simplicity and operational easiness.

The invention discloses a rock mass classification method for a TBM tunnel. The rock mass quality of surrounding rock mass is determined by taking a rock mass basic quality index BQ as a criterion under the consideration of rock mass hardness and rock mass integrity and the consideration of the combination relationship of groundwater, ground stress, engineering axis orientation and occurrence of main structural planes as dressing factors. The method comprises the following steps: 1, performing inversion formula calculation according to the relationships between uniaxial saturated compressive strength of rock mass and TBM equipment parameters, tunneling parameters and slag morphological parameters; and 2, performing calculation according to the relationship between a rock mass integrity coefficient and the TBM equipment parameters, tunneling parameters and slag morphological parameters. Based on the classification method of surrounding rock of underground engineering in the current Classification Standard for Engineering Rock Mass, parameters being difficult to obtain are avoided. The relationships between the easily obtained tunneling parameters as well as slag characteristics andthe indexes required for rock strength and integrity are determined according to the composite relationship between rock, machine and slag in the TBM construction process, thereby achieving the rapidsurrounding rock division of tunnel in TBM construction.

The invention discloses a potato quick nondestructive testing and automatic grading device and method. The automatic grading device comprises a climbing roller shaft conveying device, a transverse conveying belt and a grading output device; and the climbing roller shaft conveying device, a soil removing conveying device, the transverse conveying belt, a longitudinal conveying belt and a grading output device are sequentially connected, and a light sorting device is arranged between the longitudinal conveying belt and the grading output device. By means of the potato quick nondestructive testing and automatic grading device and method, the four-eye stereoscopic vision technology is adopted, and a computer vision hardware system for potato external quality nondestructive testing is built according to three indexes including the weight, the potato shape and the external defect; after the potatoes are subject to outer surface cleaning, external characteristics of potatoes are restored through the four-eye stereoscopic vision technology, defective and abnormal potatoes are screened out, then the different potatoes are conveyed into corresponding grading boxes according to the mass of the potatoes, and potato quick, real-time, objective and nondestructive testing and grading are achieved.

A tobacco leaf grading method includes the following steps: (1) creation of a tobacco leaf grading standard database; (2) grading of tobacco leaves. The grading method adopted by the invention can quickly and effectively grade tobacco leaves, decrease labor intensity, reduce labor cost and increase grading precision and grading quality. Because the standard tobacco leaf feature database is created in grading, the feature data of tobacco leaves can be conveniently compared, so that the grades of tobacco leaves can be determined. Because the Visual C++6.0 technique is used, a programming software program can be effectively utilized to analyze and identify the individual features of tobacco leaves, so that tobacco leaves can be graded. Because the OPENCV function library is called in Visual C++6.0 programming, the complexity of the program is decreased, the running speed of the program is increased, and thereby the tobacco leaf grading speed is increased. In addition, the adoption of the sequential comparison method decreases the probability of errors in grading and increases the precision and accuracy of grading.

The invention relates to a lithium battery inserting plate type management container automatic grading machine, which comprises a machine frame conveying module, a lifting type grading module, pushing and blocking manipulators, an automatic battery box and a control system, wherein in the machine frame conveying module, four bearing seats are fixedly arranged on the machine frame, two corresponding bearing seats in the four bearing seats are connected with a conveying belt drum by bearings, and a belt wheel is fixedly arranged on a shaft of a belt motor, and is in transmission connection with a belt wheel arranged on the conveying belt drum by a transmission belt; in the lifting grading module, polished rod fixing blocks are respectively and fixedly arranged at the upper ends and the lower ends of four parallel polished rods, and a grading device is fixedly arranged in a square countersinking hole of the middle part of a slide plate; the pushing and blocking manipulators are fixedly arranged at the two sides of the front end of the machine frame; the back end of the machine frame is fixedly connected with the automatic battery box, the control system is fixedly arranged in a control cabinet, and the control cabinet is connected with the machine frame.

The invention discloses a device for cladocera living body classification. The device comprises a cylindrical shell (1) and is characterized in that an inner barrel (2) coaxial with the shell (1) is arranged in the shell (1); a motor (3) is arranged in the inner barrel (2); a rotary support (5) is connected to the top end of a work shaft (4) of the motor (3) and is composed of three rotary arms (6) evenly distributed on the circumference; a thick separation plate (7), a middle separation plate (8) and a thin separation plate (9) which are evenly provided with a plurality of holes are connected to the lower portions of the three rotary arms (6) correspondingly, and the width of all the separation plates is equal to the difference value of the radius between the shell (1) and the inner barrel (2); the diameter of the holes in the thick separation plate (7) is larger than the diameter of the holes in the middle separation plate (8); and the diameter of the holes in the middle separation plate (8) is larger than the diameter of the holes in the thin separation plate (9).

The invention discloses an intelligent winter jujube sorting device which comprises a feeding and piling mechanism, a feeding inlet, a color selecting mechanism, a first size sorting mechanism and a second size sorting mechanism. Through the feeding and piling mechanism, it can be effectively guaranteed that winter jujubes fall into the feeding inlet one by one, the winter jujubes enter the color selecting mechanism from the feeding inlet and are subjected to color selection through the color selecting mechanism, the winter jujubes subjected to color selection enter the first size sorting mechanism and the second size sorting mechanism, and then the first size sorting mechanism and the second size sorting mechanism perform size sorting on the winter jujubes subjected to color selection. An image processing technology instead of human eyes is adopted for performing color selection on the winter jujubes, pickup skipping and wrong pickup can be effectively prevented, and the sorting accuracy and efficiency are improved; and the winter jujube sizes are fast graded through the size sorting mechanisms, the structure is simple, operation and maintenance are easy, and the sorting efficiency and quality are greatly improved.

An apparatus, system, and method are disclosed for rapidly grading the operating condition of computer storage. A storage log module 312 logs error information regarding any error in a storage subsystem 302 that occurs during normal operation. A storage test module 314 performs a cursory check 318 of the storage subsystem 302 as requested by a user. A storage diagnostic module 316 grades the storage subsystem 302 on an operating condition scale based at least in part upon the error information logged and upon results of the cursory check 318. In one embodiment, the storage subsystem 302 is graded as pristine if no error has been logged and no error was detected by the cursory check 318, as potentially failing if any error has been logged but no error was detected by the cursory check 318, and as failing if any error was detected by the cursory check 318.

The invention provides a rice blast grading system and a rice blast grading method, which can quickly, stably and accurately grade the rice blast, are convenient to operate, can obtain an accurate grading result of the rice blast in real time through the photographing of a mobile terminal, reduce an identification threshold and improve the efficiency of identification work. The grading system comprises an image preprocessing unit, a spot feature extraction unit which is used for calculating to obtain a first pixel point area Img _ N of a whole leaf and a second pixel point area Img _ n withouta disease spot, wherein the reverse threshold cutting is carried out on the pixel point area Img _ n to obtain a second image of which the disease spot part is removed, and then the OTSU binaryzationis carried out on the second image to obtain a second pixel point area Img _ n of which the disease spot is removed; an area proportion calculation unit which is used for substituting the first pixelImg _ N and the second pixel Img _ n calculated by the scab feature extraction unit into an area proportion formula to obtain an area proportion value; and a grading unit.

The invention discloses a graphene material classification method which comprises the following steps: (1) selecting a graphene material, adding one or more solvents, and carrying out stirring to obtain a graphene material dispersion liquid A of which the concentration is 1-20 mg / mL; (2) under the temperature condition of 0 to 5 DEG C, conducting on first-level or higher-level centrifugation classification treatment on the graphene material dispersion liquid A. Through the combination of different dispersion degrees of graphene of different sizes in the solvents and level centrifugation classification, graphene material classification is realized, and the deprotonation effect of graphene in the organic solvents is weakened or the carbonyl effect is eliminated, so that the formed negative charge can keep the system stability. Therefore, Van der Waals force cannot be blocked by weakening of the electrostatic repulsion effect, and accordingly sedimentation of graphene sheets can be realized; the sedimentation process is accelerated through centrifugation, and accordingly rapid classification can be realized.

The invention provides a bamboo material grading method and system. The method comprises the following steps of (1) dividing a cross section region of a to-be-graded bamboo material into N ring regions along the radius; (2) based on an occupied area ratio of total vascular bundles and an occupied area ratio of thin wall cells in each ring region, the mechanical performance of a single vascular bundle in the to-be-graded bamboo material and the mechanical performance of a single thin wall cell in the to-be-graded bamboo material, obtaining the mechanical performance of bamboo material micro-units of each ring region through a composite fiber material micromechanics theory; (3) based on the mechanical performance of the bamboo material micro-units of each ring region, obtaining the overall mechanical performance of the bamboo material; and (4) according to the overall mechanical performance of the bamboo material, grading the bamboo material. The bamboo material grading method provided by the invention is high in precision and small in error, can control the variability of a same-grade material and the fluctuation of quality after grading, and provides reliable material units for a bamboo composite material.

The invention belongs to the field of engineering surrounding rock classification, and in particular, relates to a method for remote sensing pre-judging of the grade of engineering surrounding rocks. The method comprises the following steps: step one, extracting engineering geological type and geological structure factor remote sensing information; step two, determining the rock uniaxial saturated compressive strength and the rock mass integrality index; step three, calculating the rock mass basic quality index BQ; and step four, classifying the surrounding rocks. Through the steps of extraction of the remote sensing information, determination of the rock mass integrality index and the rock uniaxial saturated compressive strength, calculation of the rock mass basic quality index BQ, surrounding rock classification and the like, rapid classification of the engineering surrounding rock grade is realized, the method is not restricted by topography landform and spatial regions, avoids the blindness of data blank area working, improves the work efficiency, reduces the workload, reduces the cost for investigation, and provides reliable reference data for engineering later detailed investigation and design and construction.

The invention belongs to the technical field of fruit picking equipment and particularly relates to an apparatus of jujube picking, grading and collecting integration, namely a jujube picking, collecting and grading machine, comprising a frame, and a vibrating-shaking picking device, a handheld rolling device, a collecting device and a grading device mounted on the frame; in white mature stage ofjujube, the handheld rolling device is used to perform picking; in crisp mature stage of jujube, the vibrating-shaking picking device and the handheld rolling device are used together to perform picking; in full mature stage of jujube, the vibrating-shaking picking device is used for performing picking, the picked fruits are collected by the collecting device, and the fruits collected by the collecting device are conveyed to the grading device for grading; therefore, picking, collecting and grading are integrated, complete functions are provided, labor steps are decreased, labor is freed, andlabor intensity is reduced for workers, and the apparatus is efficient and quick.

The invention relates to a high-efficient powder selecting machine which mainly comprises that a lower cover body is connected with a middle cover body, the middle cover body is connected with an upper cover body, and the upper cover body is connected with an upper end of a main shaft, a coarse grain material collection cone is connected with a stator lower end and the lower portion of the lower cover body. A rotor lower cone ring is connected with a lower end of the main shaft and a rotor connecting rod. Stators are arranged on the periphery of a rotor along the peripheral direction, the upper ends of the stators are connected with a frame through flanges, and the rotor is in a cage-shaped structure formed by vertical rotor blades arranged along the periphery direction and a horizontal partition plate. Each stator comprises a stator blade and a stator shaft, the stator blades are arranged on the stator shafts along the tangential direction of the stator shafts, and the upper ends of the stator shafts extend out of the frame. A transmission part drives the main shaft, and the lower end the main shaft is connected with the frame through a main shaft pull rod in the circumferential direction. Through the technical scheme, the efficiency of the high-efficient powder selecting machine is improved, and energy saving and consumption reduction are achieved.

The invention relates to the technical field of grain seed grading and screening, and discloses a single-grain corn starch content Raman hyperspectral grading method. The method comprises the following steps of establishing a double-surface standard Raman spectrum curve of a single-grain corn sample based on an embryonic surface Raman hyperspectral image and a non-embryonic surface Raman hyperspectral image of the single-grain corn sample; acquiring a starch content physicochemical value of a single-grain corn sample based on an optical rotation method; establishing a single-grain corn starchcontent grading model based on the double-surface standard Raman spectrum curve of the single-grain corn sample and a single-grain corn sample starch content physicochemical value; and realizing the single-grain corn seed starch content nondestructive grading based on the single-grain corn starch content grading model. According to the grading method provided by the embodiment of the invention, the single-grain corn starch content grading model is established by combining the double-surface standard Raman spectrum curve of the single-grain corn sample with the starch content physicochemical value, so that the accuracy of the grading model is improved, and the rapid nondestructive grading of the starch content of the single-grain corn seeds is realized.

The invention discloses hairy crab grading equipment. A multi-layer grid cylindrical rolling drum with two ends communicated is designed on a rolling drum support, the multiple layers of the rolling drum sleeve one another from inside to outside, and the rolling drum is inclined slightly. Grid gaps of each layer of the rolling drum are designed according to hairy crab grading standards, grid gap intervals are narrowed layer by layer from inside to outside, an innermost opening of the upper end of the rolling drum is movably connected with a hairy crab feeding port which is provided with a control baffle, and openings in the lower end of the rolling drum are movably connected with grading receiving devices respectively. The rolling drum is connected with a rotating shaft of a motor through a transmission device.

The invention discloses a sleeve-fish cube classifying device. The sleeve-fish cube classifying device comprises a conveying belt, a leveling device, a detecting device, a reference block and a pneumatic classifying device, wherein the leveling device is used for leveling sleeve-fish cubes; the detecting device is used for detecting the thicknesses of the sleeve-fish cubes; the reference block is installed below the detecting device. According to the sleeve-fish cube classifying device, in the operation state, according to the moving direction of the conveying belt, the sleeve-fish cubes arranged on the conveying belt sequentially pass through the leveling device, the detecting device and the pneumatic classifying device and are classified according to different thicknesses of the sleeve-fish cubes. The sleeve-fish cube classifying device provided by the invention classifies the sleeve-fish cubes with different thicknesses, is high in accuracy, and is high in classifying speed. By adopting the sleeve-fish cube classifying device, the sleeve-fish cube classifying efficiency can be improved, and the labor cost can be lowered.

The invention discloses a potato classifying and bagging device. A rolling classifying screen is of a hollow cylinder structure formed by connecting annular classifying bars, the classifying bars are sequentially provided with a classifying area A, a classifying area B and a classifying area C from left to right in the order from small density to large density, and a fixed feed port is formed in higher end of the rolling classifying screen fixed to a machine frame. A lifting device is provided with an inclined transmitting scraper plate, a fixed receiving hopper is arranged at the upper end of the inclined transmitting scraper plate, the lower end of the fixed receiving hopper is connected with a receiving hose, and the receiving hose is communicated into the fixed feed port. A dropping hopper is arranged below the rolling classifying screen, and a receiving device is arranged below the end of the dropping hopper. The potato classifying and bagging device can convey, lift and automatically collect potatoes and separate the potatoes and soil, the rolling classifying screen is reliable in structure, practical and easy to operate, the potatoes and the soil can be fast separated, and the production efficiency is high.

The invention discloses an airflow centrifugal classification device for flaky metal micro-powder and ultrafine particles and fragments. The device comprises a rotary cavity into which airflow is introduced from bottom to top, a main shaft, an impeller, a discharge opening and a dedusting pipeline; the edge of the bottom surface of the rotary cavity is provided with the discharge opening; a cover body of which the top is provided with a feeding hole, is arranged above the rotary cavity; the impeller rotates in the cover body of the rotary cavity through the main shaft; the side wall of the rotary cavity is provided with the dedusting pipeline connected with a dust remover along the rotary surface of the impeller. By utilizing different resistances of the airflow to the flaky metal micro-powder and the ultrafine particles and fragments, the influence of the airflow resistance to the motion trail of the flaky powder is increased, so that the flaky metal micro-powder and impurities are successfully separated, and the aim of quick classification is fulfilled; moreover, continuous mass production can be carried out, the production efficiency is high, the flake forming rate of the separated flaky metal soft magnetic micro-powder is high, and the quality consistency of finished products is good.

The invention discloses an automatic grader for soft-package batteries. The automatic grader comprises a conveying module, a rack module, a lifting module, a manipulator and a control system. The conveying module is that two guide rails are fixedly installed on a conveying rack, an in-place block is fixed on the conveying rack, a slide block is fixedly connected with a conveying plate, and the conveying plate is in transmission connection with a prime mover on the conveying rack through a transmission mechanism. The rack module is that a vertical plate is fixedly connected to the two ends of each of a bottom plate and a connection rod respectively, guide rails are fixedly connected to the two opposite sides of each vertical plate respectively, and N manipulator fixing plates are fixedly connected between the two connection rods; the lifting module is that a cylinder is fixedly installed on the bottom plate, and a cylinder rod is fixedly connected with a container plate; and the control system controls the conveying module, the rack module, the lifting module and the manipulator to work.

The invention relates to a method for rapidly measuring macroscopic engineering parameters of a degraded stone cultural relic. The method comprises the following steps of: determining the stone type and acquisition place of the stone cultural relic; acquiring a same fresh rock sample; preparing an experimental sample; carrying out graded degradation treatment on the experimental sample; measuring mesoscopic parameters and establishing a correlation between the mesoscopic parameters and degradation factors; measuring macroscopic engineering parameters, and establishing the correlation between the macroscopic engineering parameters and degradation factors; establishing a correlation relationship between the mesoscopic parameters and the macroscopic engineering parameters, and performing summarizing to form a data corresponding relationship table; when actual degradation occurs, taking a small rock sample, measuring the mesoscopic parameter value of the small rock sample, and then inversely calculating stone macroscopic engineering parameters at the sampling position according to the established data corresponding relationship table. According to the method, through a large number of experiments and analysis in advance and establishment of the data corresponding relationship table, the degraded macroscopic engineering properties can be scientifically and rapidly evaluated, support is provided for scheme making in the repairing and reconstructing process, sampling is little, damage to cultural relics is small, and application is wide.

The invention discloses a fruit grading device. The fruit grading device comprises a fruit storage box, wherein a discharge port is formed in the fruit storage box; the discharge port communicates with a main channel; the main channel is arranged slantwise; a first branch channel, a second branch channel and a third branch channel are formed in one side of the main channel separately, and the mainchannel, the first branch channel, the second branch channel and the third branch channel are arranged in a step shape; a first baffle is arranged in the main channel; the second baffle is arranged in the first branch channel; a third baffle is arranged in the second branch channel; and the bottoms of the main channel, the first branch channel, the second branch channel and the third branch channel communicate with a collection box separately. The fruit grading device disclosed by the invention is simple in structure principle, capable of realizing rapid grading for the sizes of fruits, and high in grading efficiency, thereby lowering the labor intensity of workers.

The invention relates to a porphyra reelability floatation device and a reelability technology. The porphyra reelability floatation device comprises an airflow reelability pool, at least one silk sieve flotation pool and a filter sieve draining pool, wherein the airflow reelability pool, the silk sieve flotation pools and the filter sieve draining pool are sequentially arranged in a downward inclined mode. The multiple silk sieve flotation pools are sequentially arranged in a downward inclined mode. The porphyra reelability flotation device is characterized in that the airflow flotation pool is divided into an upper part and a lower part by arranging a grille in the middle of the airflow flotation pool, an airflow device is arranged in the lower part, a material feeding channel is communicated with the lower part, material discharging channels arranged on the upper part is controlled by a switch device, and the material discharging channels are communicated with the silk sieve flotation pools. By arranging the airflow reelability pool, the basic non-damage rapid reelability on porphyra can be carried out, and porphyra leaves can flows to the upper part rapidly. Due to the fact that the silk sieves can shake out the porphyra, the rapid and effective classification on the porphyra can be achieved. The effective recycle on all the porphyra leaves can be guaranteed by using filter sieves.

The invention discloses an air blowing type small fruit grading execution system. The air blowing type small fruit grading execution system comprises an electromagnetic valve, a fan, an air conveyingpipe, an air blowing barrel, conveying chains, a roller, a collecting opening, a conveying pipe and a grading box, wherein the roller is arrange between the two conveying chains, an air blowing type device is fixed on one side of the roller, an air blowing barrel of the air blowing type device is installed above the roller, the air blowing type device controls the fan through the electromagnetic valve, the fan blows air into the air blowing barrel through the air conveying pipe, the collecting opening is formed in other side of the roller, the collecting opening and the conveying pipe are fixed together, the conveying pipe and the grading box are connected through a sliding groove, and the grading box is located below the conveying pipe. According to the air blowing type small fruit grading execution system, the structure is simple and feasible, the cost is low, the grading precision is high, the automation degree is high, the control is easy, the efficiency is high, grading of small fruits can be rapidly completed, and the method is suitable for grading most small fruits.

The invention discloses a method for detecting the overclocking operational performance of a GPU (graphic processing unit) and then grading the GPU, and the method is used for detecting the overclocking operational performance of the GPU and then grading the GPU, wherein the GPU has an overclocking detection frequency band, and the overclocking detection frequency band contains a plurality of overclocking detection frequencies. The method comprises the following steps: firstly, inputting an operating voltage to the GPU, and operating the GPU with a plurality of overclocking detection frequencies so as to obtain a frequency-standard power consumption value curve; then, inputting a boosting voltage to the GPU, and operating the GPU with a plurality of overclocking detection frequencies so as to obtain a frequency-boost power consumption value curve; and finally, carrying out comparison on the slopes of the frequency-standard power consumption value curve and the frequency-boost power consumption value curve, then grading the GPU according to the obtained comparison result.

The invention discloses a tunnel surrounding rock rapid grading method and system. The method comprises the steps of: determining surrounding rock rapid grading indexes; testing the integrity index of the rock mass; testing the rock hardness index; determining a correction index; quickly judging the surrounding rock level according to the index value based on a neural network; outputting a judgment result; whereina tunnel surrounding rock rapid grading system comprises an acquisition module, a data processing module, a data analysis module and an output module. The acquisition module performs data acquisition through hardware equipment; the data processing module comprises morphology data, laser echo data and correction data; the data analysis module performs analysis by constructing a neural network; the output module comprises a terminal and a cloud server; according to the method, the surrounding rock can be accurately and rapidly graded, and the judgment accuracy can be ensured through the neural network; different surrounding rocks can be quickly and automatically graded, so that the construction cost is effectively reduced; and the working efficiency can be effectively improved, and the working period is shortened.

The invention relates to the technical field of informatization construction of nuclear power plants, in particular to a nuclear power plant work priority generation method and device, computer equipment and a storage medium. The method comprises the steps of receiving a work task; obtaining a work type corresponding to the work task; obtaining an equipment criticality grading identifier corresponding to the work task, wherein the equipment criticality grading identifier is used for reflecting the severity of the influence caused by equipment failure; and generating a priority grading result corresponding to the work task according to the work category and the equipment criticality grading identifier. By the method, priority grading results corresponding to different work tasks can be automatically generated, tedious operation of manual processing in a traditional mode is avoided, even under the condition that multiple work tasks exist at the same time, the different work tasks can beeffectively and rapidly graded, and therefore the grading efficiency of the work tasks is improved.

The invention belongs to the technical field of computer software, and discloses a beef marbling automatic grading control system and method based on image data, and a computer. The method includes: collecting image data of beef, and classifying and grading the collected images according to internationally recognized meat grading standards; marking the beef quality area by using a marking tool, and recording information of the marked rectangular frame area; training a deep learning model YOLO through the training data, testing the classification performance of the model by using randomly extracted samples, and performing parameter adjustment on the model through a test structure; and completing grading of the beef quality. At present, cattle breeding is still in a development stage in animal husbandry in China, and the development of the beef quality automatic grading software based on image data. influences the economic level of animal husbandry in China to a great extent.