30results about How to "Improve grading accuracy" patented technology

The invention discloses a method and a device for computer visual inspection classification of the quality of fresh corn ears, which aim to solve the problem that an artificial classification method makes the accuracy and the reproducibility of classification generated adverse effects. The method comprises the following steps of: 1, under a certain illumination condition, acquiring images of the fresh corn ears passing through a place right below a camera by an image acquisition device, and transmitting the images to a main control computer; 2, according to the acquired images of the fresh corn ears, performing image analysis by the main control computer through intelligent analysis software through the steps of: partitioning backgrounds of the images of the fresh corn ears by adopting an iteration-replacement method, and then extracting characteristics as quality indexes of the fresh corn ears on the basis of the images obtained after the background partitioning of the images of the fresh corn ears; and 3, on the basis of the quality indexes, which are acquired through the image analysis, of the fresh corn ears, and according to a grading standard that the fresh corn ears are classified into three grades, performing grade estimation on the fresh corn ears by using a fuzzy neural network. The invention also provides a detection device for implementing the method.

The invention relates to an automatic identifying and grading method for bamboo chips. The automatic identifying and grading method comprises the following steps of: (1) shooting a bamboo chip image of a bamboo chip to the graded by a light filter; (2) capturing two screenshots in same size from a bamboo chip part and a background part of the bamboo chip image, wherein the screenshots have N pixels, gray values of the No.i pixels of the screenshots of the bamboo chip part and the background part are respectively defined as G bamboo chip i and G background i, a difference value obtained by subtracting the G background i from the G bamboo chip i is taken as a sample gray level reference value Gi of the No.i pixel in the screenshots, and a sample gray level average value and a gray level fluctuation value are calculated according to the sample gray level reference value Gi; and (3) comparing the measured gray level fluctuation value with a preset gray level fluctuation threshold value F, if the measured gray level fluctuation value is less than the threshold value F, confirming no defect existence, and otherwise, confirming defect existence. According to the automatic identifying grading method for the bamboo chips, provided by the invention, the labor intensity is reduced, the production cost is lowered and the grading efficiency and accuracy are increased.

The invention relates to a multi-channel detection and sorting device of shriveled walnuts. The multi-channel detection and sorting device is composed of a feeding device, a conveying device, an online imaging detection device, an online weighing device, a speed reduction device, an airflow type grading device and a rack. Single-grain feeding is carried out simultaneously on a plurality of channels through the feeding device; the online imaging detection device is mounted above a feeding conveyor belt and walnut image information is acquired in real time; walnut quality information is acquiredin real time through the online weighing device; whether walnuts are the shriveled walnuts or not is judged through a method fusing the walnut image information and the walnut quality information; finally, the shriveled walnuts are removed by utilizing the airflow type grading device. Compared with the prior art, the multi-channel detection and sorting device can realize multi-channel online detection and sorting of the shriveled walnuts, and the commodity quality and market price of the walnuts can be improved, the labor intensity of manually sorting the shriveled walnuts is reduced and theeconomic benefits are improved.

The invention relates to a method for stirring a renewable asphalt mixture. The method comprises the following steps that a renewable recycled material is subjected to primary smashing in a cold state; the renewable recycled material enters a drying cylinder through a recycling ring for heating and softening with new aggregate; a renewable recycled asphalt mixture obtained by mixing the renewable recycled material with the new aggregate enters a continuous double-shaft stirring pan for stirring and rubbing; the renewable recycled material is subjected to secondary smashing; and the renewable recycled asphalt mixture flows out from the discharging hole of the continuous double-shaft stirring pan, enters the charging hole of an aggregate hoisting machine, and is fed into a vibration screen by the aggregate hoisting machine for screening. By the method, various types of aggregate are separated thoroughly after the renewable recycled material is treated; the heated mixture cannot be adhered to the screen mesh of the vibration screen when passing through the vibration screen; the graduation precision of the mixture is improved to a great extent; the method is low in cost and convenient to operate; and the addition ratio of the renewable recycled material is improved.

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 relates to high-reference plant-mixed heat regeneration equipment which comprises a first regeneration drying drum and a second regeneration drying drum which are arranged at intervals,and a first discharge box and a second discharge box on the first regeneration drying drum and the second regeneration drying drum are respectively communicated with a first air outlet pipe and a second air outlet pipe of a hot air hearth. The high-reference plant-mixed heat regeneration equipment is simple in structure, coarse and fine materials can be separately heated; coarse and fine materialsare respectively dried and heated through independent regeneration drying rollers; the temperature of coarse and fine materials is easier to control; particularly, fine materials are controlled; therotating speed of the regeneration drying drum is controlled through frequency conversion, so that the adding amount of the fine aggregate can be controlled by selecting different rotating speeds; thedischarging temperature of the fine aggregate can be effectively guaranteed by adjusting the size of the adjusting air door in a matched mode, coarse materials and fine materials are heated separately through the two rollers, the discharging temperature of the recycled coarse materials and the discharging temperature of the recycled fine materials can be effectively controlled, the yield of the recycled materials is effectively increased, and the high reference ratio of the recycled materials is achieved.

The invention discloses a dynamic alarm grading method and device, electronic equipment and a computer readable storage medium. The method comprises the following steps: training a sorting model by using historical data of alarms to obtain a training model; and sorting the online data of the alarms by using the training model to obtain alarm grades. According to the method, a dynamic alarm gradingproblem is modeled into a sorting problem based on machine learning for the first time, alarm severity grading is given in an online and self-adaptive mode based on a training model, grading accuracyis high, and therefore engineers can process serious alarms preferentially according to alarm grading, and fault solving efficiency is improved.

The invention discloses a method and a device for computer visual inspection classification of the quality of fresh corn ears, which aim to solve the problem that an artificial classification method makes the accuracy and the reproducibility of classification generated adverse effects. The method comprises the following steps of: 1, under a certain illumination condition, acquiring images of the fresh corn ears passing through a place right below a camera by an image acquisition device, and transmitting the images to a main control computer; 2, according to the acquired images of the fresh corn ears, performing image analysis by the main control computer through intelligent analysis software through the steps of: partitioning backgrounds of the images of the fresh corn ears by adopting aniteration-replacement method, and then extracting characteristics as quality indexes of the fresh corn ears on the basis of the images obtained after the background partitioning of the images of the fresh corn ears; and 3, on the basis of the quality indexes, which are acquired through the image analysis, of the fresh corn ears, and according to a grading standard that the fresh corn ears are classified into three grades, performing grade estimation on the fresh corn ears by using a fuzzy neural network. The invention also provides a detection device for implementing the method.

The invention discloses a surrounding rock distinguishing and grading method. The method comprises the following steps: S0, performing data conversion on Rc and Jv to obtain converted R'c and J'v; S1, by utilizing the converted R'c, J'v, S1, S2 and S3, carrying out factor analysis to obtain comprehensive factors F'1 and F'2, wherein the comprehensive factor F '1 is a surrounding rock integrity comprehensive factor and mainly reflects the influence of Jv and S1 factors, and the comprehensive factor F'2 is a surrounding rock strength comprehensive factor and mainly reflects the influence of Rc and S2 factors; S2, taking the comprehensive factors F'1 and F'2 as training samples to train a surrounding rock grading model to obtain a Fisher discrimination model; and S3, performing surrounding rock grade prediction on the test sample by using the Fisher discriminant model, thereby solving the problem of low accuracy when the Fisher discriminant model is verified by using a back substitution method due to the fact that influence factors are not preprocessed. The surrounding rock discriminant grading method is high in accuracy and wide in applicability.

The utility model discloses plant-mixed heat regeneration equipment with a cold adding function. The plant-mixed heat regeneration equipment comprises a coarse aggregate conveying system, a coarse aggregate drying and heating system, a fine aggregate conveying system and a reclaimed material conveying device, the coarse aggregate drying and heating system comprises a regeneration drying roller, acombustion device and a tail gas treatment device, the regeneration drying roller is obliquely arranged, the tail end of the coarse aggregate conveying system is connected to the high position of theregeneration drying roller, a discharging box is arranged at the low position of the regeneration drying roller, and a coarse aggregate temporary storage bin is connected to the lower portion of the discharging box; the fine aggregate conveying system comprises a fine aggregate bin, a fine aggregate belt conveyor, a fine aggregate elevator and a fine aggregate conveying device, a fine aggregate temporary storage bin is arranged at the discharging end of the fine aggregate conveying device, a measuring scale is arranged below the fine aggregate temporary storage bin and the coarse aggregate temporary storage bin, and a reclaimed material conveying device is arranged below the measuring scale. Separate conveying and heating of coarse aggregate and fine aggregate can be achieved, the adhesiondegree of a regeneration drying roller and the like is reduced, the equipment shutdown risk is reduced, and the use performance of equipment is guaranteed.

The invention relates to graded screening equipment for stone used in highway construction, in particular to a single-grade stone fine screening mechanism. According to a technical proposal provided by the invention, the upper part of a machine frame is provided with an inclined upper screen grader, an inclined lower screen grader is arranged on the machine frame under the upper screen grader, and the discharging port of the upper screen grader is communicated with the feed port of the lower screen grader. The single-grade stone fine screening mechanism is characterized in that: both the inside of the upper screen grader and the inside of the lower screen grader comprise two layers of screen mesh; the position of the mesh upper outlet of each layer of the screen mesh is provided with a stone outlet; and the mesh lower outlets of the upper-layer screen meshes in the upper screen grader and the lower screen grader are the inlets of the lower-layer screen meshes. The graded screening equipment can finely grade the stone and improve the quality of constructed pavement.

The invention discloses an agaricus bisporus grading device. The agaricus bisporus grading device comprises a frame body, a grading cylinder rotatably arranged on the frame body and a driving mechanism used for driving the grading cylinder to rotate; the grading cylinder is provided with a plurality of groups of grading channels; the grading cylinder is further provided with an adjusting mechanism; and the adjusting mechanism can adjust the size of end openings of the ends, away from the axis of the grading cylinder, of the grading channels. According to the agaricus bisporus grading device, the size of the end openings of the grading channels on the grading cylinder can be adjusted through the adjusting mechanism, and agaricus bisporus with different sizes can be graded in sequence; compared with the design that grading openings with different sizes are formed in a grading cylinder in the prior art, the situation that the agaricus bisporus with the small size is prone to being screened out of large sieve holes is effectively avoided, and the grading precision is improved; and a material collecting ring is further arranged in the grading cylinder, the agaricus bisporus can be concentrated at the grading channels instead of between the two grading channels, and thus the grading efficiency is improved.

The invention relates to a three-degree-of-freedom tractor for an agricultural laser grader. It consists of a front tractor and a rear tractor. The front-end tractor is connected with the rear-end tractor with a hinge pin and a spacer sleeve. The front tractor is composed of a traction plate, a traction longitudinal plate and a limiting plate. The front part of the traction plate of the front-end tractor is inserted into the tractor traction frame, and the pin shaft passes through the traction frame and the traction plate, so that the front-end tractor is connected with the tractor. The small shaft diameter section of the rear tractor is inserted into the front plate of the traction frame of the motor grader and fixed by welding. When the tractor pulls the grader to turn, the front traction plate rotates around the tractor pin shaft; when the tractor pitches longitudinally or the grader adjusts the blade height, under the action of the ground wheel control device of the grader, the rear tractor revolves around the front tractor The connected pin shaft rotates; when the tractor swings laterally or the grader adjusts the cutting edge parallel to the laser reference plane, under the action of the left and right ground wheel control devices of the grader, the grader rotates around the front and rear tractors through the traction screw .

The invention discloses a method for synthesizing a standard-grade tobacco leaf image database based on digital image processing technology. The standard-grade tobacco leaf sample is photographed to obtain the tobacco leaf sample image, and then the image processing software is used to select a relatively representative area. The image preprocessing operation is to obtain a clear image of the tobacco leaf sample area, and the clear image of the tobacco leaf sample area is binarized to obtain a binary image, and the binary image is reversed to obtain a binary image template. The channel is used to extract color features, and the extracted tobacco leaf color feature values ​​are used to synthesize standard-grade tobacco leaf images to construct a tobacco leaf image database. The present invention utilizes digital image processing and image feature recognition technologies to construct a standard-grade tobacco leaf image database, which can realize the scientific classification of flue-cured tobacco leaves. Quantification greatly reduces the workload in the purchase of tobacco leaves, and the product classification accuracy is high.

The invention relates to an automatic identifying and grading method for bamboo chips. The automatic identifying and grading method comprises the following steps of: (1) shooting a bamboo chip image of a bamboo chip to the graded by a light filter; (2) capturing two screenshots in same size from a bamboo chip part and a background part of the bamboo chip image, wherein the screenshots have N pixels, gray values of the No.i pixels of the screenshots of the bamboo chip part and the background part are respectively defined as G bamboo chip i and G background i, a difference value obtained by subtracting the G background i from the G bamboo chip i is taken as a sample gray level reference value Gi of the No.i pixel in the screenshots, and a sample gray level average value and a gray level fluctuation value are calculated according to the sample gray level reference value Gi; and (3) comparing the measured gray level fluctuation value with a preset gray level fluctuation threshold value F, if the measured gray level fluctuation value is less than the threshold value F, confirming no defect existence, and otherwise, confirming defect existence. According to the automatic identifying grading method for the bamboo chips, provided by the invention, the labor intensity is reduced, the production cost is lowered and the grading efficiency and accuracy are increased.

The present invention provides a method for grading coarse aggregates based on three-dimensional images. image filling and contour extraction, etc.) to obtain the coordinate points and thickness information of the outer contour of the particles; according to the obtained thickness information and outer contour coordinate points, the equivalent particle size and various particle shape parameters of the coarse aggregate (for example, the pin size) are calculated. , flatness, triangularity and sphericity), by comparing the characterization methods of coarse aggregate thickness; by proposing a new equivalent particle size characterization method for coarse aggregates of different shapes, and further modifying the image method and sieving method The difference between them generates errors to achieve accurate grading. The invention discloses a method for grading the equivalent particle size of coarse aggregate based on a three-dimensional image, which realizes the accurate measurement of the equivalent particle size of the coarse aggregate and improves the grading accuracy of the coarse aggregate particle.

The application provides a method and a device for rating private data based on big data, used to solve the problem of privacy data leakage that affects information security caused by missing classification and inaccurate rating of privacy data, and unable fast perception for the change of public sensitivity to private data in the prior art. The method comprises: extracting a plurality of high frequency keywords from the privacy data to be processed, and generating a high frequency word set by using the keyword whose word frequency is above a first preset threshold; determining a privacy classification of the privacy data to be processed based on the high frequency word set; establishing a high frequency word matrix based on the keyword having the frequency above the second preset threshold in the classified and rated private data in the collected big data; and rating the privacy data to be processed according to the high frequency word matrix and the privacy classification of the privacy data to be processed to obtain a privacy rating of the privacy data to be processed.

The invention discloses a land leveling system for a paddy field rotary cultivator. The land leveling system comprises a left-side pull rod, a middle pull rod, a right-side pull rod, a land leveling unit, a driving unit, a hydraulic operation mechanism and a controller, wherein the hydraulic operation mechanism is used for manipulating the land leveling unit; the controller is used for controlling the hydraulic operation mechanism. The land leveling system for the paddy field rotary cultivator has the advantages that a land leveling device with an automatic leveling function is additionally arranged on a rotary cultivator according to agronomic requirements of rice cultivation, so that a land leveling plate is positioned in a horizontal plane all the time in the cultivating and land-leveling processes, therefore the influence to the land leveling device from a tractor due to different mud foot depths and own vibration during a proceeding process is reduced, and the land leveling precision is further improved. The land leveling system for the paddy field rotary cultivator can be used with the existing paddy field rotary cultivator for performing rotary cultivation and soil preparation on paddy fields in a matching manner, so that the land leveling effect of the paddy field rotary cultivator is improved; meanwhile in comparison with a paddy field laser land leveler, the land leveling system for the paddy field rotary cultivator has the advantages of low cost and convenience in popularization and application.

The invention relates to a method for stirring a renewable asphalt mixture. The method comprises the following steps that a renewable recycled material is subjected to primary smashing in a cold state; the renewable recycled material enters a drying cylinder through a recycling ring for heating and softening with new aggregate; a renewable recycled asphalt mixture obtained by mixing the renewable recycled material with the new aggregate enters a continuous double-shaft stirring pan for stirring and rubbing; the renewable recycled material is subjected to secondary smashing; and the renewable recycled asphalt mixture flows out from the discharging hole of the continuous double-shaft stirring pan, enters the charging hole of an aggregate hoisting machine, and is fed into a vibration screen by the aggregate hoisting machine for screening. By the method, various types of aggregate are separated thoroughly after the renewable recycled material is treated; the heated mixture cannot be adhered to the screen mesh of the vibration screen when passing through the vibration screen; the graduation precision of the mixture is improved to a great extent; the method is low in cost and convenient to operate; and the addition ratio of the renewable recycled material is improved.

The invention belongs to the technical field of asphalt pavement cold recycling, and particularly relates to a grading method of a cold recycled mixture. The production method comprises the followingspecific production steps: milling an asphalt concrete surface layer, crushing and screening through a crushing and screening device to obtain milled materials with the specifications of 0-10mm and 10-30mm, and mixing the milled materials according to a certain proportion; metering the milling material prepared in the previous step through a milling material metering and conveying device, and thenconveying the milling material to a mixing device; respectively metering the new aggregate, cement, mineral powder, emulsified asphalt and water through a metering and conveying device, and conveyingthe metered materials to a mixing device. The mixing device is used for stirring the mixture, then the finished mixture is discharged to the storage bin through the discharging port of the mixing device to be temporarily stored, anti-segregation measures of the mixture are taken in the storage period, evaporation of water is prevented, and the production efficiency of the cold recycled mixture can be effectively improved by adopting the method.

The invention relates to a network equipment grading method and device. The network equipment grading method comprises the following steps of: respectively obtaining connection quality information between various ungraded network equipment and various network equipment managed by a scheduler; and selecting target network equipment to be graded from various ungraded network equipment, and grading the target network equipment according to the connection quality information between various ungraded network equipment and various network equipment managed by the scheduler. According to the network equipment grading method in the embodiment of the invention, the original topological information of a network can be utilized; the connection quality between two network equipment not having a direct connection relationship is estimated through a collaborative filtering method; the network equipment grading accuracy is improved; and thus, the communication quality of connection established by CDNs, P2P networks and the like is improved.

The invention discloses an article grading method, an article grading device and an article automatic grading system. The article grading method comprises the steps that 1, a picture containing a to-be-classified article is obtained, and effective pixel points are extracted from the picture; 2, in all or partial channels of RGB channels, the number of pixels occupied in the effective pixel pointsare counted correspondingly when values of each channel component are different, and the ratio of the number of the effective pixel points of all values to the total number of effective pixel points is calculated correspondingly; 3, all ratios are constructed as a color distribution array according to the arrangement order of standard arrays; and 4, the correlation coefficients of the color distribution array and the different standard arrays are calculated correspondingly, one standard array is associated with one grade, each grade is associated with at least one standard array, and the gradeassociated with the standard array participating in the correlation coefficient with the largest calculation value is taken as the grade of the to-be-classified article. The method is little in operation amount, high in parallelism, simple and convenient, and capable of quickly and accurately obtaining the grade of the to-be-classified article.

The invention discloses a method and system for grading defects in an X-ray weld image. The grading method includes: acquiring an image of an X-ray weld; determining the type and position of a defect in the X-ray weld image according to the X-ray weld image and size; determining the defect level of the X-ray weld image according to the type, position and size of the defect. The grading method in the present invention realizes the full automation of X-ray weld image defect detection and grading, avoids missed judgments and misjudgments caused by manual evaluation, and improves the grading accuracy.

The invention relates to the technical field of data processing, and discloses a data processing method and device, electronic equipment and a readable storage medium. The method comprises the following steps: acquiring a historical record, extracting a plurality of historical case data from the historical record, and processing the plurality of historical case data to obtain a baseline value set;receiving current data corresponding to the current epidemic situation, and determining a current curve based on the current data; and updating a preset grading model based on the baseline value setto obtain a data grading model, and inputting the current curve into the data grading model to obtain grade data of the current epidemic situation. The embodiment of the invention has the advantage ofhigh user experience, and can be applied to a smart medical scene to promote the further development of smart cities.

The invention relates to the technical field of rock mass engineering and provides a method for grading large deformation of tunnel surrounding rock during the survey and design stage. First, the large deformation level of the surrounding rock is divided into n levels; then the maximum principal stress, lithology and rock mass integrity data, and active fault data of the tunnel site area are obtained; then the maximum principal stress, lithology and rock mass integrity data of the tunnel site area are combined Conduct a preliminary evaluation based on the body integrity data, and conduct a second preliminary evaluation based on the maximum principal stress and active fault data in the tunnel site area to calculate the preliminary evaluation grade of large deformation of the surrounding rock in the tunnel site area; then obtain and combine the groundwater conditions data and rock strata in the tunnel site area The angle between the direction and the axis of the tunnel and the inclination of the rock layer are used to calculate the grade correction parameters and correct the initial evaluation grade of the large deformation of the surrounding rock in the tunnel site area to obtain the correction grade of large deformation of the surrounding rock in the tunnel site area. The present invention can assess the risk level of large deformation disasters in surrounding rock during the survey and design stage, and the index selection is relatively comprehensive and easy to obtain, thus improving the classification accuracy.

The invention discloses a classification device for Agaricus bisporus, comprising a frame body, a classification cylinder rotatably arranged on the frame body, and a driving mechanism for driving the rotation of the classification cylinder; The grading cylinder is also provided with an adjusting mechanism; the adjusting mechanism can adjust the size of one end port of the grading passage away from the axis of the grading cylinder; the present invention can adjust the size of the grading passage port on the grading cylinder through the adjusting mechanism bisporus bisporus of different sizes can be graded in turn. Compared with the design of the grading cylinder with different sizes of grading ports in the existing book, it can effectively avoid the situation that the bisporus bisporus with smaller volume is easily sieved from the large sieve hole. Improve grading accuracy; there is also a collecting ring in the grading cylinder, which can make Agaricus bisporus concentrated at the grading channel instead of between two grading channels, thereby improving the grading efficiency.

The invention discloses a rapid primary separation system and method for naturally curled tobacco leaves after baking, and the system employs a camera as image collection equipment, employs a composite algorithm combining an OTSU algorithm and an edge recognition algorithm as a recognition algorithm, employs a composite parameter formed by combining an RGB parameter, an HSV parameter, a leaf profile parameter and a leaf surface texture parameter as a grading parameter. A Bayesian classifier is adopted as a grading algorithm, automatic intelligent analysis and processing of a series of steps of image collection, target recognition, parameter yeast extraction and intelligent judgment of the naturally curled tobacco leaves after baking are achieved through system curing, the grading accuracy is improved, pre-checking and packaging can be achieved at home of tobacco growers, direct grading is achieved in a purchasing site, the working efficiency is greatly improved, the method solves the problems of high cost, low efficiency and non-standard grade qualification rate in the primary separation link of tobacco growers, and plays an important role in improving the grade purity of tobacco purchasing, promoting high-quality development of tobacco production and keeping continuous, stable and healthy development of tobacco production.