Intelligent quantitative packaging method and system for triazole

Abstract

This invention provides a method and system for intelligent quantitative packaging of triazole. The method includes: S1: performing preliminary impurity removal on the raw triazole; S2: determining the optimal stacking height and optimal dispensing spacing based on the current packaging quantitative value and the track width of the dispensing track; S3: performing shape stacking and equal-spaced dispensing on the preliminarily impurity-removed triazole based on the optimal stacking height and optimal dispensing spacing; S4: loading the triazole units whose current weighing value deviates from the packaging quantitative value by no more than a weight deviation threshold into the current packaging, and performing fine impurity removal and packaging quantity correction on the triazole units whose current weighing value deviates from the packaging quantitative value by more than a weight deviation threshold before loading them into the current packaging. This allows for multiple quantitative packaging functions of triazole on the same device, and also enables multiple impurity removal and precise quantitative packaging of triazole.

Description

Technical Field

[0001] This invention relates to the field of quantitative packaging technology, and in particular to a method and system for intelligent quantitative packaging of triazole. Background Technology

[0002] Currently, triazole is an organic compound widely used in the synthesis of pesticides such as triadimefon, paclobutrazol, uniconazole, and tebuconazole. It is a white needle-like crystal, while the industrial grade is a light yellow or brown needle-like crystal with strong water absorption. The quantitative packaging of triazole is mostly controlled through pre-installed procedures.

[0003] However, in existing triazole packaging methods or systems, a single packaging line can only package triazole according to one packaging quantity (i.e., one weight value). Furthermore, since triazole is a white crystalline solid, it is easy for impurities to be mixed in during the production and packaging process, which may result in impurities in the packaged triazole.

[0004] Therefore, this invention proposes a method and system for intelligent quantitative packaging of triazole. Summary of the Invention

[0005] This invention provides a method and system for intelligent quantitative packaging of triazole, which enables multiple quantitative packaging functions of triazole on the same device. It also achieves multiple impurity removal and accurate weighing quantitative packaging of triazole based on preliminary impurity removal, pre-packaging, fine impurity removal, and packaging quantity correction.

[0006] This invention provides a method for intelligent quantitative packaging of triazole, comprising:

[0007] S1: Preliminary purification treatment of the original triazole yields preliminarily purified triazole;

[0008] S2: Based on the current packaging quantity and the width of the dispensing track, determine the optimal stacking height and optimal dispensing spacing;

[0009] S3: Based on the optimal stacking height and optimal dispensing spacing, the triazole after preliminary impurity removal is stacked in shape and dispensed at equal intervals in the dispensing track to obtain multiple dispensing units of triazole.

[0010] S4: Determine the current weight value of triazole for each packaging unit. Load the triazole of the packaging units whose current weight value deviates from the packaging quantitative value by no more than the weight deviation threshold into the current package. Then, after finely removing impurities and correcting the packaging quantity, load the triazole of the packaging units whose current weight value deviates from the packaging quantitative value by more than the weight deviation threshold into the current package to obtain the quantitative packaging result.

[0011] Preferably, the intelligent quantitative packaging method for triazole includes, in step S1: performing preliminary impurity removal treatment on the original triazole to obtain preliminarily impurity-removed triazole, comprising:

[0012] The raw triazole was filtered using a filtration device to obtain filtered triazole.

[0013] The filtered triazole is spread out onto the spreading device to obtain a spread image of the spread surface on the spreading device. The spread image is identified based on the pre-trained recognition model and it is determined whether the currently obtained triazole needs to be re-filtered. If so, the currently obtained triazole is re-filtered and spread out based on the filtering device until it is determined based on the latest obtained spread image that the latest obtained triazole does not need to be re-filtered. Then, the triazole obtained after re-filtering is regarded as the triazole after preliminary impurity removal.

[0014] Otherwise, the triazole obtained after one filtration is regarded as the triazole after preliminary impurity removal.

[0015] Preferably, in the triazole intelligent quantitative packaging method, S2: based on the current packaging quantitative value and the track width of the dispensing track, the optimal stacking height and optimal dispensing spacing are determined, including:

[0016] S201: Based on the orbital image of triazole in the dispensing orbit after preliminary impurity removal, the average shape and size of the triazole crystal particles in the dispensing orbit are identified.

[0017] S202: Determine the estimated repackaging volume based on the standard density corresponding to the average shape size and the current packaging quantity value;

[0018] S203: Treat the stacking height and the sub-packing spacing as unknowns, and generate an objective function based on the track width of the sub-packing track and the estimated sub-packing volume;

[0019] S204: Generate constraints based on the stacking height range and the sub-packing spacing range;

[0020] S205: Based on the objective function and constraints, determine the optimal stacking height and optimal packaging spacing;

[0021] S206: Based on the optimal stacking height, the pre-purified triazole in the dispensing track is shaped and stacked to obtain the shaped triazole.

[0022] Preferably, in the intelligent quantitative packaging method for triazole, S3: based on the optimal stacking height and optimal dispensing spacing, the pre-purified triazole is stacked in shape and dispensed at equal intervals in the dispensing track to obtain multiple dispensing units of triazole, including:

[0023] Based on the optimal stacking height, the pre-purified triazole is shaped and stacked in the dispensing track to obtain the shaped triazole.

[0024] Based on the optimal dispensing spacing, triazole after being stacked in shape is dispensed at equal intervals to obtain multiple dispensing units of triazole.

[0025] Preferably, in the intelligent quantitative packaging method for triazole, the method for determining the current weight value of triazole in each dispensing unit in step S4 includes:

[0026] The triazole in a single packaging unit is transferred to the weighing scale, and a panoramic image of the triazole stack on the weighing scale is acquired.

[0027] Based on the panoramic image of triazole stacking and the preset weighing scale model, a triazole stacking shape model was constructed.

[0028] Based on the triazole stacked shape model and the preset weighing scale model, the initial weighing weight of each weighing sensor on the weighing scale is determined.

[0029] Based on the real-time weighing value change curve of each weighing sensor and the initial weighing weight during the process of transferring triazole from a single repackaging unit to the weighing scale, the current weighing value of the corresponding repackaging unit of triazole is determined.

[0030] Preferably, the intelligent quantitative packaging method for triazole, based on a triazole stacking shape model and a preset weighing scale model, determines the initial weighing weight of each weighing sensor on the weighing scale, including:

[0031] The average value of the coordinates of all points on the outer surface of the triazole stacked shape model in the preset coordinate system is taken as the centroid coordinates of the corresponding triazole stacked shape body.

[0032] Based on the preset weighing scale model, the first coordinate values ​​of all points on the outer surface of the weighing sensor in the preset coordinate system are determined, and the average value of all the first coordinate values ​​of the weighing sensor is taken as the center of gravity coordinate of the weighing sensor.

[0033] The average value of the center coordinates of all weighing sensors in the preset weighing scale model is taken as the comprehensive center of gravity coordinates.

[0034] The vector pointing from the center of gravity of the triazole stacked shape to the overall center of gravity is taken as the reference center of gravity pointing vector, and the vector pointing from the center of gravity of the triazole stacked shape to the center of gravity of the weighing sensor is taken as the center of gravity pointing deviation vector of the weighing sensor.

[0035] The initial weighing weight of the weighing sensor is determined based on the reference center of gravity pointing vector and the center of gravity pointing deviation vector of the weighing sensor.

[0036] Preferably, the intelligent quantitative packaging method for triazole determines the current weight value of the corresponding triazole unit based on the real-time weight change curve of each weighing sensor and the initial weighing weight during the transfer of a single packaging unit of triazole to the weighing scale, including:

[0037] The average rate of change and stable weighing value of the real-time weighing value change curve of each weighing sensor during the transfer of triazole from a single packaging unit to the weighing scale were determined.

[0038] The ratio of the average rate of change to the sum of the average rates of change of all load cells is used as the first reference weight of the corresponding load cell.

[0039] The duration of the weighing value change in the real-time weighing value change curve is determined, and the ratio of the duration corresponding to the weighing sensor to the sum of the durations corresponding to all weighing sensors is used as the second reference weight of the corresponding weighing sensor.

[0040] The final weighing weight is determined based on the first reference weight, the second reference weight, and the initial weighing weight. The current weighing value of the triazole in the corresponding packaging unit is calculated based on the stable weighing value of the weighing sensor and the final weighing weight.

[0041] Preferably, in the intelligent quantitative packaging method for triazole, step S4, which involves finely removing impurities and correcting the packaging quantity of triazole in the dispensing units where the deviation between the current weighing value and the packaging quantity value exceeds a weight deviation threshold, includes:

[0042] Determine the current volume of triazole in the repackaging unit where the deviation between the current weighing value and the packaging quantity exceeds the weight deviation threshold;

[0043] Based on the current weighing value and the current volume of the corresponding repackaging unit of triazole, determine the estimated density of the corresponding repackaging unit of triazole.

[0044] Determine the standard density and density tolerance value corresponding to the average shape and size, and determine whether the deviation value between the estimated density and the standard density exceeds the density tolerance value. If so, perform fine purification on the triazole in the corresponding packaging unit and determine the estimated density of the triazole in the corresponding packaging unit after fine purification. Continue until the deviation value between the latest determined estimated density and the standard density does not exceed the density tolerance value, and then perform packaging quantity correction on the latest obtained triazole based on the packaging quantity value.

[0045] Otherwise, the packaging quantity of triazole in the corresponding repackaging unit will be directly corrected.

[0046] Preferably, the intelligent quantitative packaging method for triazole, S201: based on the trajectory image of the triazole after preliminary impurity removal in the dispensing track, identifies the average shape and size of the triazole crystal particles in the dispensing track, including:

[0047] The two-dimensional contour of each triazole crystal particle was identified in the orbital image of the triazole in the dispensing orbit after preliminary impurity removal;

[0048] Based on a pre-trained shape recognition model, all two-dimensional contours are identified to determine the standard shape of the triazole crystal particles.

[0049] Based on the dimension measurement method corresponding to the standard shape, the dimensions of all two-dimensional contours are measured to determine all measurement values ​​of each standard measurement dimension. Based on all measurement values ​​of each standard measurement dimension, the average measurement value of the standard measurement dimension is determined.

[0050] The average measurement value of the corresponding standard shape and all standard measurement dimensions is taken as the average shape and size of the triazole crystal particles in the packaging track.

[0051] This invention provides a triazole intelligent quantitative packaging system, comprising:

[0052] The impurity removal module is used to perform preliminary impurity removal treatment on the raw triazole to obtain the preliminarily impurity-removed triazole.

[0053] The determination module is used to determine the optimal stacking height and optimal dispensing spacing based on the current packaging quantity value and the width of the dispensing track;

[0054] The packaging module is used to shape and equally space the pre-purified triazole in the packaging track based on the optimal stacking height and optimal packaging spacing, so as to obtain multiple packaging units of triazole.

[0055] The packaging module is used to determine the current weight value of triazole for each packaging unit, load the triazole of the packaging units whose current weight value deviates from the packaging quantitative value by no more than the weight deviation threshold into the current package, and perform fine impurity removal and packaging quantity correction on the triazole of the packaging units whose current weight value deviates from the packaging quantitative value by more than the weight deviation threshold before loading it into the current package to obtain the quantitative packaging result.

[0056] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the written description, claims, and drawings.

[0057] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0058] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:

[0059] Figure 1 This is a flowchart of the intelligent quantitative packaging method for triazole in an embodiment of the present invention;

[0060] Figure 2 This is a flowchart of another intelligent quantitative packaging method for triazole in an embodiment of the present invention;

[0061] Figure 3 This is a schematic diagram of the triazole intelligent quantitative packaging system in an embodiment of the present invention. Detailed Implementation

[0062] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0063] Example 1:

[0064] This invention provides a smart quantitative packaging method for triazole, referencing Figure 1 ,include:

[0065] S1: Preliminary purification treatment of the original triazole yields preliminarily purified triazole;

[0066] S2: Based on the current packaging quantity and the width of the dispensing track, determine the optimal stacking height and optimal dispensing spacing;

[0067] S3: Based on the optimal stacking height and optimal dispensing spacing, the triazole after preliminary impurity removal is stacked in shape and dispensed at equal intervals in the dispensing track to obtain multiple dispensing units of triazole.

[0068] S4: Determine the current weight value of triazole for each packaging unit. Load the triazole of the packaging units whose current weight value deviates from the packaging quantitative value by no more than the weight deviation threshold into the current package. Then, after finely removing impurities and correcting the packaging quantity, load the triazole of the packaging units whose current weight value deviates from the packaging quantitative value by more than the weight deviation threshold into the current package to obtain the quantitative packaging result.

[0069] In this embodiment, the original triazole is the produced triazole that may contain impurities.

[0070] In this embodiment, the preliminary impurity removal step is a step of removing impurities present in the original triazole that have a large deviation in shape and size from the triazole crystal particles in the original triazole by using a filtration device.

[0071] In this embodiment, the packaging quantity value is the standard weight of triazole that needs to be packaged in the current packaging.

[0072] In this embodiment, the dispensing track is a dispensing device for loading triazole after preliminary impurity removal. The track is equipped with baffles on both sides in a direction perpendicular to the track movement direction. The closed baffle at the bottom of the track is connected to the baffles on both sides, and there is a track device with an opening of the same width as the track at the top.

[0073] In this embodiment, the optimal stacking height is the optimal height of the triazole plane in the dispensing track, determined based on the current packaging quantity value and the track width of the dispensing track. This height is achieved after the triazole, after initial impurity removal, is transferred to the dispensing track and laid flat (i.e., the stacking plane of the laid triazole is parallel to the bottom plane of the dispensing track).

[0074] In this embodiment, the optimal dispensing interval is the dispensing interval distance determined based on the current packaging quantity value and the track width of the dispensing track. This interval is used for the initial dispensing of triazole after it has been initially removed from impurities and transferred to the dispensing track and laid flat (i.e., the stacking plane of the laid triazole is parallel to the bottom plane of the dispensing track).

[0075] In this embodiment, shape stacking refers to the operation of laying the pre-purified triazole flat in the dispensing track (i.e., the stacking plane of the laid triazole is parallel to the bottom plane of the dispensing track).

[0076] In this embodiment, the equal-interval packaging means that after the triazole has been initially cleaned, it is stacked in shape in the packaging track and then isolated and packaged according to the optimal packaging interval. That is, the triazole in the packaging track is isolated and packaged at every optimal packaging interval to obtain multiple packaging units of triazole. The volume of one packaging unit of triazole is: track width multiplied by the optimal packaging interval and then multiplied by the optimal stacking height.

[0077] In this embodiment, the dispensing unit is the amount of triazole corresponding to each dispensing result obtained after the triazole after preliminary impurity removal is shaped and dispensed at equal intervals in the dispensing track.

[0078] In this embodiment, the current weighing value is the current actual weight of the triazole in the corresponding packaging unit.

[0079] In this embodiment, the weight deviation threshold is the maximum deviation between the current weight of triazole that can be loaded into the current package and the package quantity value.

[0080] In this embodiment, the current packaging is the packaging container currently used to package triazole.

[0081] In this embodiment, fine impurity removal refers to the step of removing impurities in the triazole of the corresponding packaging unit that have small deviations in shape and size from the triazole crystal particles in the original triazole but have large deviations in particle density, using manual impurity removal or other impurity removal methods. Because impurities with small deviations in shape and size but large deviations in density from the triazole crystal particles in the original triazole will cause a large deviation in the overall weight of the triazole in the packaging unit, the presence of such impurities in the triazole of the corresponding packaging unit can be roughly determined by judging the weight of each packaging unit of triazole after packaging.

[0082] In this embodiment, the packaging quantity correction is to determine whether the deviation between the current weighing value of the triazole in the corresponding packaging unit after fine impurity removal and the packaging quantity value does not exceed the weight deviation threshold. If so, there is no need to perform packaging quantity correction on the triazole in the corresponding packaging unit after fine impurity removal. Otherwise, the triazole in the corresponding packaging unit after fine impurity removal is either reduced (i.e., a portion of the triazole in the corresponding packaging unit is removed) or increased (a portion of the triazole in the corresponding packaging unit is added) so that the deviation between the current weighing value of the triazole in the corresponding packaging unit after reduction or increase does not exceed the weight deviation threshold.

[0083] In this embodiment, the quantitative packaging result is the final packaging result obtained after intelligent quantitative packaging of the original triazole.

[0084] The beneficial effects of the above technology are as follows: Preliminary impurity removal of the produced triazole can remove impurities with significant size deviations from the original triazole crystals. Then, the preliminarily impurity-removed triazole is laid out and stacked at equal intervals in a dispensing track, enabling preliminary volume-based dispensing of triazole. This dispensing reduces the workload of subsequent fine impurity removal steps. Furthermore, by judging the weight of each dispensing unit of triazole obtained after preliminary dispensing, a preliminary rough determination can be made as to whether any triazole in the dispensing unit contains impurities that differ from the original triazole. The removal of impurities from the original triazole crystal particles with smaller shape and size deviations and larger density deviations further achieves finer removal of impurities from the original triazole. Further, the packaging quantity correction of the triazole units after multiple impurity removals and repackaging can improve the accuracy of the final package weight, achieving better packaging results. In step S2 of this method, the corresponding stacking density and repackaging distance are determined based on the packaging quantitative value, thereby enabling the packaging of triazole of various weights on a single packaging production line using the intelligent quantitative packaging method of this embodiment.

[0085] Example 2:

[0086] Based on Example 1, the intelligent quantitative packaging method for triazole, S1: performing preliminary impurity removal treatment on the original triazole to obtain preliminarily impurity-removed triazole, including:

[0087] The raw triazole was filtered using a filtration device to obtain filtered triazole.

[0088] The filtered triazole is spread out onto the spreading device to obtain a spread image of the spread surface on the spreading device. The spread image is identified based on the pre-trained recognition model and it is determined whether the currently obtained triazole needs to be re-filtered. If so, the currently obtained triazole is re-filtered and spread out based on the filtering device until it is determined based on the latest obtained spread image that the latest obtained triazole does not need to be re-filtered. Then, the triazole obtained after re-filtering is regarded as the triazole after preliminary impurity removal.

[0089] Otherwise, the triazole obtained after one filtration is regarded as the triazole after preliminary impurity removal.

[0090] In this embodiment, the filtration device is a device equipped with a filter screen of a preset pore size, used to filter out impurities contained in the original triazole that have a large deviation in shape and size from the triazole crystal particles contained in the original triazole.

[0091] In this embodiment, the paving device is a device used to load the filtered triazole in a paving manner.

[0092] In this embodiment, the flat surface is the plane on the flattening device that is in direct contact with the filtered triazole.

[0093] In this embodiment, the tiled image is an image of a tiled device loaded with tiled triazole, and the tiled image contains the tiled triazole.

[0094] In this embodiment, the pre-trained recognition model is a model pre-trained based on a large number of tiled images containing marked debris locations, used to identify the locations of debris in the tiled images (which deviate significantly from the shape and size of the triazole crystal particles contained in the original triazole).

[0095] The beneficial effects of the above technology are as follows: the original triazole is filtered based on the filtering device, and then the filtered triazole is laid out and the need for re-filtering is determined based on the laid-out image, thereby achieving the initial fine filtration of the original triazole.

[0096] Example 3:

[0097] Based on Example 1, the triazole intelligent quantitative packaging method, S2: Based on the current packaging quantitative value and the track width of the dispensing track, determines the optimal stacking height and the optimal dispensing spacing, referring to... Figure 2 ,include:

[0098] S201: Based on the orbital image of triazole in the dispensing orbit after preliminary impurity removal, the average shape and size of the triazole crystal particles in the dispensing orbit are identified.

[0099] S202: Determine the estimated repackaging volume based on the standard density corresponding to the average shape size and the current packaging quantity value;

[0100] S203: Treat the stacking height and the sub-packing spacing as unknowns, and generate an objective function based on the track width of the sub-packing track and the estimated sub-packing volume;

[0101] S204: Generate constraints based on the stacking height range and the sub-packing spacing range;

[0102] S205: Based on the objective function and constraints, determine the optimal stacking height and optimal packaging spacing;

[0103] S206: Based on the optimal stacking height, the pre-purified triazole in the dispensing track is shaped and stacked to obtain the shaped triazole.

[0104] In this embodiment, the track image is an image of the packaging track containing the pre-purified triazole, and the highest stacking surface of triazole in the packaging track can be seen in the image.

[0105] In this embodiment, the average shape and size refers to the shape and average size of the triazole crystal particles in the packaging track.

[0106] In this embodiment, the standard density is the calculated density when the average shape and size are stacked in the dispensing track, which is the total weight of triazole crystal particles per unit volume corresponding to the average shape and size when stacked in the dispensing track. This value can be obtained through multiple experiments.

[0107] In this embodiment, the estimated volume of the repackaging is the value obtained by dividing the current packaging quantity by the standard density corresponding to the average shape size. That is, it is the volume of the stack formed when triazole crystal particles of the average shape size and the current packaging quantity are stacked in the repackaging track.

[0108] In this embodiment, the stacking height is the variable corresponding to the optimal stacking height.

[0109] In this embodiment, the packaging spacing is the variable corresponding to the optimal packaging spacing.

[0110] In this embodiment, the stacking height and the sub-packing spacing are treated as unknowns, and an objective function is generated based on the track width of the sub-packing track and the estimated sub-packing volume. The objective function is as follows:

[0111] v = h * l * w

[0112] In the formula, v is the estimated volume of the sub-packaging (known quantity), h is the stacking height (unknown quantity), l is the sub-packaging spacing (unknown quantity), and w is the width of the sub-packaging track (known quantity).

[0113] In this embodiment, the constraint conditions are the restrictions on the stacking height and the sub-packing spacing when solving for the optimal stacking height and the optimal sub-packing spacing based on the objective function, which are generated from the range of stacking height values ​​and the range of sub-packing spacing values.

[0114] In this embodiment, based on the objective function and constraints, the optimal stacking height and optimal packaging spacing are determined as follows:

[0115] Once the optimal solution bias conditions (e.g., the higher the sub-packing spacing, the better) are determined by manually inputting them, the final values ​​of the stacking height and sub-packing spacing in the objective function under the optimal solution bias conditions and constraints are determined as the corresponding optimal stacking height and optimal sub-packing spacing.

[0116] The beneficial effects of the above technology are as follows: Based on the orbital image, the average shape and size of the triazole crystal particles in the dispensing orbit are identified. Then, based on the standard density corresponding to the average shape and size and the current packaging quantity value, the estimated dispensing volume is determined. Then, by building an objective function and constraints, the optimal stacking height and optimal dispensing spacing are determined. This enables the determination of the shape stacking basis data for the triazole after preliminary impurity removal in the dispensing orbit. Based on the optimal alignment height and optimal dispensing spacing, the preliminary dispensing of triazole based on volume can be achieved.

[0117] Example 4:

[0118] Based on Example 1, the intelligent quantitative packaging method for triazole, S3: Based on the optimal stacking height and optimal dispensing spacing, the pre-purified triazole is stacked in shape and dispensed at equal intervals in the dispensing track to obtain multiple dispensing units of triazole, including:

[0119] Based on the optimal stacking height, the pre-purified triazole is shaped and stacked in the dispensing track to obtain the shaped triazole.

[0120] Based on the optimal dispensing spacing, triazole after being stacked in shape is dispensed at equal intervals to obtain multiple dispensing units of triazole.

[0121] In this embodiment, the pre-purified triazole is shaped and stacked in the dispensing track based on the optimal stacking height to obtain the shaped triazole, which is:

[0122] After initial impurity removal, the triazole is laid flat and stacked in the dispensing track (i.e., the stacking plane of the laid triazole is parallel to the bottom plane of the dispensing track), so that the height of the stacking plane of the laid triazole is the optimal stacking height, thereby obtaining the triazole after shape stacking.

[0123] The beneficial effects of the above technology are: it enables the shape stacking and evenly spaced packaging of triazole after preliminary impurity removal.

[0124] Example 5:

[0125] Based on Example 1, the method for determining the current weight value of triazole in step S4 of the intelligent quantitative packaging method for triazole includes:

[0126] The triazole in a single packaging unit is transferred to the weighing scale, and a panoramic image of the triazole stack on the weighing scale is acquired.

[0127] Based on the panoramic image of triazole stacking and the preset weighing scale model, a triazole stacking shape model was constructed.

[0128] Based on the triazole stacked shape model and the preset weighing scale model, the initial weighing weight of each weighing sensor on the weighing scale is determined.

[0129] Based on the real-time weighing value change curve of each weighing sensor and the initial weighing weight during the process of transferring triazole from a single repackaging unit to the weighing scale, the current weighing value of the corresponding repackaging unit of triazole is determined.

[0130] In this embodiment, the weighing scale determines the weight of the object by measuring the weight value obtained from weighing sensors that are evenly distributed at the bottom of the container carrying the object.

[0131] In this embodiment, the triazole stacking panoramic image is an image of the all-around shape of the triazole stacked on the container carrying the weight, obtained when the weighing scale carries a single unit of triazole.

[0132] In this embodiment, the preset weighing scale model is the preset three-dimensional model of the weighing scale.

[0133] In this embodiment, the triazole stacking shape model is a three-dimensional model of the triazole stacked in all directions on a container carrying a weight, including a single packaging unit.

[0134] In this embodiment, based on the panoramic image of the triazole stack and the preset weighing scale model, a triazole stack shape model is constructed, which is as follows:

[0135] Based on the panoramic image of triazole stacking, the relative position of each point in the shape of a single triazole unit stacked on the container carrying the weighing object is determined with respect to a point in a preset weighing scale model. Based on this relative position, a triazole stacking shape model is generated.

[0136] In this embodiment, the initial weighing weight is a value determined based on the triazole stacked shape model and the preset weighing scale model, which represents the degree of contribution of the weighing value of the corresponding weighing sensor to the actual value weighed by the weighing scale when determining the actual value weighed by the weighing scale.

[0137] In this embodiment, the weighing sensor is a pressure sensor that is uniformly arranged at the bottom of the container carrying the object to be weighed in the weighing scale. The weighing value obtained by the weighing sensor can be obtained by dividing the pressure value determined by the pressure sensor by the gravitational acceleration.

[0138] In this embodiment, the real-time weighing value change curve is the curve containing the change data of the weighing value output by the weighing sensor during the process of transmitting a single packaging unit of triazole to the weighing scale.

[0139] The beneficial effects of the above technology are as follows: it realizes the construction of the shape corresponding to the stacking of a single unit of triazole on the weighing scale based on the panoramic image of triazole stacking, and can accurately calculate the current weight value of a single unit of triazole based on the initial weighing weight determined by the triazole stacking shape model and the preset weighing scale model, combined with the real-time weighing value change curve of each weighing sensor during the transmission of a single unit of triazole to the weighing scale.

[0140] Example 6:

[0141] Based on Example 5, the intelligent quantitative packaging method for triazole, based on the triazole stacking shape model and the preset weighing scale model, determines the initial weighing weight of each weighing sensor on the weighing scale, including:

[0142] The average value of the coordinates of all points on the outer surface of the triazole stacked shape model in the preset coordinate system is taken as the centroid coordinates of the corresponding triazole stacked shape body.

[0143] Based on the preset weighing scale model, the first coordinate values ​​of all points on the outer surface of the weighing sensor in the preset coordinate system are determined, and the average value of all the first coordinate values ​​of the weighing sensor is taken as the center of gravity coordinate of the weighing sensor.

[0144] The average value of the center coordinates of all weighing sensors in the preset weighing scale model is taken as the comprehensive center of gravity coordinates.

[0145] The vector pointing from the center of gravity of the triazole stacked shape to the overall center of gravity is taken as the reference center of gravity pointing vector, and the vector pointing from the center of gravity of the triazole stacked shape to the center of gravity of the weighing sensor is taken as the center of gravity pointing deviation vector of the weighing sensor.

[0146] The initial weighing weight of the weighing sensor is determined based on the reference center of gravity pointing vector and the center of gravity pointing deviation vector of the weighing sensor.

[0147] In this embodiment, the centroid coordinates of the triazole stacked shape are the coordinates of the centroid of the triazole stacked shape model in a preset coordinate system.

[0148] In this embodiment, the triazole stacked shape is the three-dimensional shape formed when individual triazole units are stacked on a weighing scale.

[0149] In this embodiment, the first coordinate value is the coordinate value of all points on the outer surface of the weighing sensor in the preset coordinate system, which is determined based on the preset weighing scale model.

[0150] In this embodiment, the center-of-gravity coordinates of the weighing sensor are the coordinates of the center-of-gravity of the corresponding weighing sensor in the preset weighing scale model under the preset coordinate system.

[0151] In this embodiment, the combined centroid coordinates are:

[0152] The average coordinates of the center of gravity of all weighing sensors in the preset weighing scale model.

[0153] In this embodiment, the initial weighing weight of the weighing sensor is determined based on the reference center of gravity pointing vector and the center of gravity pointing deviation vector of the weighing sensor, including:

[0154]

[0155] In the formula, δ is the initial weighing weight of the load cell, and n is the total number of load cells on the weighing scale. Let be the center-of-gravity deviation vector of the i-th weighing sensor on the weighing scale. Let be the magnitude of the deviation vector of the center of gravity orientation of the i-th weighing sensor on the weighing scale. This represents the current calculated deviation vector of the center of gravity of the weighing sensor. Let exp be the magnitude of the current calculated deviation vector of the center of gravity of the weighing sensor, and let exp be an exponential function with the natural constant e as the base, where e is 2.72. for The value of the cosine function, The reference centroid pointing vector, The magnitude of the reference centroid pointing vector;

[0156] Based on the above formula, the initial weighing weight, which characterizes the contribution of the weighing value of the corresponding weighing sensor to the actual value weighed by the weighing scale, can be accurately calculated based on the deviation value of the magnitude of the reference center of gravity pointing vector and the center of gravity pointing deviation vector of the weighing sensor, as well as the angle between the reference center of gravity pointing vector and the center of gravity pointing deviation vector of the weighing sensor.

[0157] The beneficial effects of the above technology are as follows: Based on the reference centroid pointing vector of the centroid coordinates of the triazole stacked shape pointing to the comprehensive centroid coordinates and the centroid pointing deviation vector of the centroid coordinates of the triazole stacked shape pointing to the weighing sensor, the influence of the shape formed by the individual packaging unit when stacked on the weighing scale and the relative distance between the shape and the weighing sensor on the weighing value of each weighing sensor can be taken into account. That is, the initial weighing weight is determined, which makes the current weighing value of triazole for the individual packaging unit more accurate.

[0158] Example 7:

[0159] Based on Example 5, the intelligent quantitative packaging method for triazole, based on the real-time weighing value change curve of each weighing sensor and the initial weighing weight during the transfer of a single packaging unit of triazole to the weighing scale, determines the current weighing value of the corresponding packaging unit of triazole, including:

[0160] The average rate of change and stable weighing value of the real-time weighing value change curve of each weighing sensor during the transfer of triazole from a single packaging unit to the weighing scale were determined.

[0161] The ratio of the average rate of change to the sum of the average rates of change of all load cells is used as the first reference weight of the corresponding load cell.

[0162] The duration of the weighing value change in the real-time weighing value change curve is determined, and the ratio of the duration corresponding to the weighing sensor to the sum of the durations corresponding to all weighing sensors is used as the second reference weight of the corresponding weighing sensor.

[0163] The final weighing weight is determined based on the first reference weight, the second reference weight, and the initial weighing weight. The current weighing value of the triazole in the corresponding packaging unit is calculated based on the stable weighing value of the weighing sensor and the final weighing weight.

[0164] In this embodiment, the average rate of change is the average value of the first derivative of the change function corresponding to the real-time weighing value change curve at all points on the real-time weighing value change curve.

[0165] In this embodiment, the stable weighing value is the final stable weighing value in the real-time weighing value change curve.

[0166] In this embodiment, the first reference weight is a value determined based on the rate of change of the weighing value of the weighing sensor over time during the process of transferring a single unit of triazole to the weighing scale. This value represents the degree of contribution of the weighing value of the corresponding weighing sensor to the actual value weighed by the weighing scale when determining the actual value weighed by the weighing scale.

[0167] In this embodiment, the second reference weight is a value determined based on the duration of the change in the weighing value of the weighing sensor during the process of transferring a single unit of triazole to the weighing scale. This value represents the contribution of the weighing value of the corresponding weighing sensor to the actual value weighed by the weighing scale when determining the actual value weighed by the weighing scale.

[0168] In this embodiment, the duration is the length of time during which the weighing value continuously changes in the real-time weighing value change curve.

[0169] In this embodiment, the final weighing weight is determined based on the first reference weight, the second reference weight, and the initial weighing weight. The current weighing value of the triazole in the corresponding dispensing unit is calculated based on the stable weighing value of the weighing sensor and the final weighing weight.

[0170] The average of the first reference weight, the second reference weight, and the initial weighing weight is taken as the final weighing weight (i.e., the weighing weight used to finally determine the current weighing value of the triazole in the corresponding repackaging unit). The average of the product of the stable weighing values ​​of all weighing sensors and the final weighing weight is taken as the current weighing value of the triazole in the corresponding repackaging unit.

[0171] In this embodiment, the stable weighing value is the final stable weighing value output by the weighing sensor during the process of transferring a single unit of triazole to the weighing scale.

[0172] The beneficial effects of the above technology are as follows: based on a first reference weight that takes into account the influence of the rate of change of the weighing value of the weighing sensor over time during the process of transferring a single unit of triazole to the weighing scale on the result of determining the current weighing value of a single unit of triazole, and a second reference weight that takes into account the influence of the duration of the change of the weighing value of the weighing sensor during the process of transferring a single unit of triazole to the weighing scale on the result of determining the current weighing value of a single unit of triazole, and combined with the initial weighing weight and the temperature weighing value of the weighing sensor, the accurate current weighing value of the corresponding unit of triazole is calculated.

[0173] Example 8:

[0174] Based on Example 1, the intelligent quantitative packaging method for triazole, in step S4, includes a method for finely removing impurities and correcting the packaging quantity of triazole in packaging units where the deviation between the current weighing value and the packaging quantity value exceeds the weight deviation threshold.

[0175] Determine the current volume of triazole in the repackaging unit where the deviation between the current weighing value and the packaging quantity exceeds the weight deviation threshold;

[0176] Based on the current weighing value and the current volume of the corresponding repackaging unit of triazole, determine the estimated density of the corresponding repackaging unit of triazole.

[0177] Determine the standard density and density tolerance value corresponding to the average shape and size, and determine whether the deviation value between the estimated density and the standard density exceeds the density tolerance value. If so, perform fine purification on the triazole in the corresponding packaging unit and determine the estimated density of the triazole in the corresponding packaging unit after fine purification. Continue until the deviation value between the latest determined estimated density and the standard density does not exceed the density tolerance value, and then perform packaging quantity correction on the latest obtained triazole based on the packaging quantity value.

[0178] Otherwise, the packaging quantity of triazole in the corresponding repackaging unit will be directly corrected.

[0179] In this embodiment, the current volume is the volume of triazole in the repackaging unit where the deviation between the current weighing value and the packaging quantity value exceeds the weight deviation threshold. It is the estimated repackaging volume determined based on the standard density corresponding to the average shape size and the packaging quantity value of the current package.

[0180] In this embodiment, the average shape and size of the triazole crystal particles in the dispensing track are identified based on the trajectory image of the triazole after preliminary impurity removal in the dispensing track.

[0181] In this embodiment, the track image is an image of a packaging track containing triazole after preliminary impurity removal, and the highest stacking surface of triazole in the packaging track can be seen in the image.

[0182] In this embodiment, the average shape and size refers to the shape and average size of the triazole crystal particles in the packaging track.

[0183] In this embodiment, based on the current weighing value and the current volume of the corresponding repackaging unit of triazole, the estimated density of the corresponding repackaging unit of triazole is determined, which is:

[0184] The quotient of the current weighing value and the current volume of the corresponding repackaged unit of triazole is used as the estimated density of the corresponding repackaged unit of triazole.

[0185] In this embodiment, the estimated density is the estimated density of triazole per unit of packaging, which is estimated based on the average shape of the particles and the current volume of the corresponding packaging unit.

[0186] In this embodiment, the density tolerance value is the preset maximum deviation between the standard density and the estimated density corresponding to the average shape and size when it is determined that the triazole in the corresponding packaging unit does not require fine impurity removal.

[0187] The beneficial effects of the above technology are as follows: by comparing the estimated density of the corresponding packaging unit with the standard density and density tolerance value corresponding to the average shape and size, it is possible to determine whether there are impurities in the triazole of the corresponding packaging unit that have the same shape as triazole but different density. Based on the judgment result, the fine impurity removal and packaging quantity correction of the triazole of the corresponding packaging unit can be achieved, thus ensuring the purity and weight accuracy of the triazole after intelligent quantitative packaging.

[0188] Example 9:

[0189] Based on Example 3, the intelligent quantitative packaging method for triazole, S201: based on the trajectory image of the triazole after preliminary impurity removal in the dispensing track, identifies the average shape and size of the triazole crystal particles in the dispensing track, including:

[0190] The two-dimensional contour of each triazole crystal particle was identified in the orbital image of the triazole in the dispensing orbit after preliminary impurity removal;

[0191] Based on a pre-trained shape recognition model, all two-dimensional contours are identified to determine the standard shape of the triazole crystal particles.

[0192] Based on the dimension measurement method corresponding to the standard shape, the dimensions of all two-dimensional contours are measured to determine all measurement values ​​of each standard measurement dimension. Based on all measurement values ​​of each standard measurement dimension, the average measurement value of the standard measurement dimension is determined.

[0193] The average measurement value of the corresponding standard shape and all standard measurement dimensions is taken as the average shape and size of the triazole crystal particles in the packaging track.

[0194] In this embodiment, the two-dimensional contour is the contour of the triazole crystal particles in the orbital image.

[0195] In this embodiment, the pre-trained shape recognition model is a model pre-trained based on a large number of orbital images marked with the standard shapes of triazole crystal particles, used to identify the standard shapes of triazole crystal particles contained in the orbital images.

[0196] In this embodiment, standard shapes include, for example, spheres, cubes or cuboids, strips, etc.

[0197] In this embodiment, the size measurement method is, for example, measuring the diameter of a sphere, and measuring the length between each vertex and its three adjacent vertices for a cube or cuboid.

[0198] In this embodiment, the standard measurement dimension is the dimension measured by the standard size of each standard shape. For example, the standard measurement dimension of a sphere is its diameter, and the standard measurement dimensions of a cuboid are its length, span, and height.

[0199] In this embodiment, the measured value is the specific measured value of each standard measurement dimension of the triazole crystal particle determined based on the two-dimensional size.

[0200] In this embodiment, the average measurement value of the standard measurement dimension is determined based on all measurements of each standard measurement dimension.

[0201] In this embodiment, the average measurement value is the average of all measurements for the corresponding standard measurement dimension.

[0202] The beneficial effects of the above technology are as follows: based on the contour recognition, shape recognition, size measurement, and averaging of triazole crystal particles in the orbital image of triazole after preliminary impurity removal in the dispensing orbit, the average shape and size of the triazole crystal particles can be accurately determined.

[0203] Example 10:

[0204] This invention provides a triazole intelligent quantitative packaging system, referenced Figure 3 ,include:

[0205] The impurity removal module is used to perform preliminary impurity removal treatment on the raw triazole to obtain the preliminarily impurity-removed triazole.

[0206] The determination module is used to determine the optimal stacking height and optimal dispensing spacing based on the current packaging quantity value and the width of the dispensing track;

[0207] The packaging module is used to shape and equally space the pre-purified triazole in the packaging track based on the optimal stacking height and optimal packaging spacing, so as to obtain multiple packaging units of triazole.

[0208] The packaging module is used to determine the current weight value of triazole for each packaging unit, load the triazole of the packaging units whose current weight value deviates from the packaging quantitative value by no more than the weight deviation threshold into the current package, and perform fine impurity removal and packaging quantity correction on the triazole of the packaging units whose current weight value deviates from the packaging quantitative value by more than the weight deviation threshold before loading it into the current package to obtain the quantitative packaging result.

[0209] The beneficial effects of the above technology are as follows: Preliminary impurity removal of the produced triazole can remove impurities with significant size deviations from the original triazole crystals. Then, the preliminarily impurity-removed triazole is laid out and stacked at equal intervals in a dispensing track, enabling preliminary volume-based dispensing of triazole. This dispensing reduces the workload of subsequent fine impurity removal steps. Furthermore, by judging the weight of each dispensing unit of triazole obtained after preliminary dispensing, a preliminary rough determination can be made as to whether any triazole in the dispensing unit contains impurities that differ from the original triazole. The removal of impurities from the original triazole crystal particles with smaller shape and size deviations and larger density deviations further achieves finer removal of impurities from the original triazole. Further, the packaging quantity correction of the triazole units after multiple impurity removals and repackaging can improve the accuracy of the final package weight, achieving better packaging results. In step S2 of this method, the corresponding stacking density and repackaging distance are determined based on the packaging quantitative value, thereby enabling the packaging of triazole of various weights on a single packaging production line using the intelligent quantitative packaging method of this embodiment.

[0210] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A method for intelligent quantitative packaging of triazole, characterized in that, include: S1: Preliminary purification treatment of the original triazole yields preliminarily purified triazole; S2: Based on the current packaging quantity and the width of the dispensing track, determine the optimal stacking height and optimal dispensing spacing, including: S201: Based on the orbital image of triazole in the dispensing orbit after preliminary impurity removal, the average shape and size of the triazole crystal particles in the dispensing orbit are identified. S202: Determine the estimated repackaging volume based on the standard density corresponding to the average shape size and the current packaging quantity value; S203: Treat the stacking height and the sub-packing spacing as unknowns, and generate an objective function based on the track width of the sub-packing track and the estimated sub-packing volume; S204: Generate constraints based on the stacking height range and the sub-packing spacing range; S205: Based on the objective function and constraints, determine the optimal stacking height and optimal packaging spacing; S206: Based on the optimal stacking height, the pre-purified triazole in the dispensing track is shaped and stacked to obtain the shaped triazole; S3: Based on the optimal stacking height and optimal dispensing spacing, the triazole after preliminary impurity removal is stacked in shape and dispensed at equal intervals in the dispensing track to obtain multiple dispensing units of triazole. S4: Determine the current weighing value of triazole in each packaging unit, load the triazole in the current packaging unit whose deviation from the current weighing value does not exceed the weight deviation threshold into the current package, and load the triazole in the current packaging unit whose deviation from the current weighing value exceeds the weight deviation threshold into the current package after fine impurity removal and packaging quantity correction, thus obtaining the quantitative packaging result. The method for determining the current weight of triazole in each dispensing unit in step S4 includes: The triazole in a single packaging unit is transferred to the weighing scale, and a panoramic image of the triazole stack on the weighing scale is acquired. Based on the panoramic image of triazole stacking and the preset weighing scale model, a triazole stacking shape model was constructed. Based on the triazole stacked shape model and the preset weighing scale model, the initial weighing weight of each weighing sensor on the weighing scale is determined. Based on the real-time weighing value change curve of each weighing sensor and the initial weighing weight during the process of transferring triazole from a single sub-unit to the weighing scale, the current weighing value of the corresponding sub-unit of triazole is determined. The method for finely removing impurities and correcting the packaging quantity of triazole in step S4 for packaging units where the deviation between the current weighing value and the packaging quantity value exceeds the weight deviation threshold includes: Determine the current volume of triazole in the repackaging unit where the deviation between the current weighing value and the packaging quantity exceeds the weight deviation threshold; Based on the current weighing value and the current volume of the corresponding repackaging unit of triazole, determine the estimated density of the corresponding repackaging unit of triazole. Determine the standard density and density tolerance value corresponding to the average shape and size, and determine whether the deviation value between the estimated density and the standard density exceeds the density tolerance value. If so, perform fine purification on the triazole in the corresponding packaging unit and determine the estimated density of the triazole in the corresponding packaging unit after fine purification. Continue until the deviation value between the latest determined estimated density and the standard density does not exceed the density tolerance value, and then perform packaging quantity correction on the latest obtained triazole based on the packaging quantity value. Otherwise, the packaging quantity of triazole in the corresponding repackaging unit will be directly corrected.

2. The intelligent quantitative packaging method for triazole according to claim 1, characterized in that, S1: The original triazole is subjected to preliminary impurity removal treatment to obtain preliminarily purified triazole, including: The raw triazole was filtered using a filtration device to obtain filtered triazole. The filtered triazole is spread out onto the spreading device to obtain a spread image of the spread surface on the spreading device. The spread image is identified based on the pre-trained recognition model and it is determined whether the currently obtained triazole needs to be re-filtered. If so, the currently obtained triazole is re-filtered and spread out based on the filtering device until it is determined based on the latest obtained spread image that the latest obtained triazole does not need to be re-filtered. Then, the triazole obtained after re-filtering is regarded as the triazole after preliminary impurity removal. Otherwise, the triazole obtained after one filtration is regarded as the triazole after preliminary impurity removal.

3. The intelligent quantitative packaging method for triazole according to claim 1, characterized in that, S3: Based on the optimal stacking height and optimal dispensing spacing, the pre-purified triazole is stacked in shape and dispensed at equal intervals in the dispensing track to obtain multiple dispensing units of triazole, including: Based on the optimal stacking height, the pre-purified triazole is shaped and stacked in the dispensing track to obtain the shaped triazole. Based on the optimal dispensing spacing, triazole after being stacked in shape is dispensed at equal intervals to obtain multiple dispensing units of triazole.

4. The intelligent quantitative packaging method for triazole according to claim 1, characterized in that, S201: Based on the orbital image of triazole in the dispensing orbit after preliminary impurity removal, the average shape and size of the triazole crystal particles in the dispensing orbit are identified, including: The two-dimensional contour of each triazole crystal particle was identified in the orbital image of the triazole in the dispensing orbit after preliminary impurity removal; Based on a pre-trained shape recognition model, all two-dimensional contours are identified to determine the standard shape of the triazole crystal particles. The dimensions of all two-dimensional contours are measured using the dimension measurement method corresponding to the standard shape, and all measurement values ​​of each standard measurement dimension are determined. The average measurement value of the standard measurement dimension is then determined based on all measurement values ​​of each standard measurement dimension. The average measurement value of the corresponding standard shape and all standard measurement dimensions is taken as the average shape and size of the triazole crystal particles in the packaging track.

5. A triazole intelligent quantitative packaging system, characterized in that, include: The impurity removal module is used to perform preliminary impurity removal treatment on the raw triazole to obtain the preliminarily impurity-removed triazole. The determination module, based on the current packaging quantity and the width of the dispensing track, determines the optimal stacking height and optimal dispensing spacing, including: Based on the orbital image of triazole in the dispensing orbit after preliminary impurity removal, the average shape and size of the triazole crystal particles in the dispensing orbit were identified. Based on the standard density corresponding to the average shape size and the current packaging quantity value, the estimated repackaging volume is determined; The stacking height and the sub-packing spacing are treated as unknowns, and the objective function is generated based on the track width of the sub-packing track and the estimated sub-packing volume. Constraints are generated based on the range of stacking height and the range of sub-packing spacing. Based on the objective function and constraints, the optimal stacking height and optimal packaging spacing were determined. The packaging module is used to shape and equally space the pre-purified triazole in the packaging track based on the optimal stacking height and optimal packaging spacing, so as to obtain multiple packaging units of triazole. The packaging module is used to determine the current weighing value of triazole for each packaging unit, load the triazole of the packaging unit whose deviation from the current weighing value does not exceed the weight deviation threshold into the current package, and perform fine impurity removal and packaging quantity correction on the triazole of the packaging unit whose deviation from the current weighing value exceeds the weight deviation threshold before loading it into the current package to obtain the quantitative packaging result. The packaging module determines the current weight of triazole for each packaging unit, including: The triazole in a single packaging unit is transferred to the weighing scale, and a panoramic image of the triazole stack on the weighing scale is acquired. Based on the panoramic image of triazole stacking and the preset weighing scale model, a triazole stacking shape model was constructed. Based on the triazole stacked shape model and the preset weighing scale model, the initial weighing weight of each weighing sensor on the weighing scale is determined. Based on the real-time weighing value change curve of each weighing sensor and the initial weighing weight during the process of transferring triazole from a single sub-unit to the weighing scale, the current weighing value of the corresponding sub-unit of triazole is determined. The packaging module performs fine impurity removal and packaging quantity correction on triazole units whose deviation between the current weighing value and the packaging quantity value exceeds the weight deviation threshold, including: Determine the current volume of triazole in the repackaging unit where the deviation between the current weighing value and the packaging quantity exceeds the weight deviation threshold; Based on the current weighing value and the current volume of the corresponding repackaging unit of triazole, determine the estimated density of the corresponding repackaging unit of triazole. Determine the standard density and density tolerance value corresponding to the average shape and size, and determine whether the deviation value between the estimated density and the standard density exceeds the density tolerance value. If so, perform fine purification on the triazole in the corresponding packaging unit and determine the estimated density of the triazole in the corresponding packaging unit after fine purification. Continue until the deviation value between the latest determined estimated density and the standard density does not exceed the density tolerance value, and then perform packaging quantity correction on the latest obtained triazole based on the packaging quantity value. Otherwise, the packaging quantity of triazole in the corresponding repackaging unit will be directly corrected.

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