CN116664053A - Commodity inventory management method - Google Patents
Commodity inventory management method Download PDFInfo
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- 238000007726 management method Methods 0.000 title claims abstract description 22
- 238000012795 verification Methods 0.000 claims abstract description 8
- 238000004040 coloring Methods 0.000 claims description 52
- 238000000034 method Methods 0.000 claims description 24
- 238000004364 calculation method Methods 0.000 claims description 6
- 239000011159 matrix material Substances 0.000 claims description 6
- 230000009286 beneficial effect Effects 0.000 description 5
- 238000012986 modification Methods 0.000 description 2
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/56—Extraction of image or video features relating to colour
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Abstract
The invention discloses a commodity inventory management method, which belongs to the technical field of warehouse management, and comprises the following steps: s1, acquiring a two-dimensional code of a commodity to be put in storage; s2, verifying the two-dimensional code of the commodity to be put in storage, judging whether the verification is passed, if so, entering S3, otherwise, ending commodity put in storage; s3, matching corresponding storage warehouses for the commodities to be warehoused according to the commodity storage conditions to be warehoused, and storing the commodities to be warehoused in the corresponding storage warehouses; s4, updating two-dimensional codes of all commodities in the storage warehouse, and determining priorities of all the commodities; s5, when receiving the ex-warehouse request, ex-warehouse is carried out according to the priorities of all commodities. The invention updates and prioritizes the goods in the warehouse, the prioritizing is determined by various information stored in the updated two-dimensional code, instead of singly determining the prioritizing by the warehouse-in time, so that proper goods are selected for warehouse-out when a warehouse-out request is received.
Description
Technical Field
The invention belongs to the technical field of warehouse management, and particularly relates to a commodity inventory management method.
Background
Along with the rapid development of information technology, the warehouse logistics industry can carry goods through intelligent carrying equipment, so that manpower resources are greatly saved. At present, large warehouses are large in cargo quantity, complex in variety, large in cargo quantity entering and exiting every day, and complex in flow and management, and have a plurality of inconveniences. Meanwhile, the large warehouse has too many scattered commodities, and the commodities need to be classified and put in storage. In the existing inventory management method, manual operation of operators is needed, the quantity of interaction with an inventory management system is high, and the error rate is high, and time and labor are wasted.
Disclosure of Invention
The invention provides a commodity inventory management method for solving the problems.
The technical scheme of the invention is as follows: a commodity inventory management method comprises the following steps:
s1, acquiring a two-dimensional code of a commodity to be put in storage;
s2, verifying the two-dimensional code of the commodity to be put in storage, judging whether the verification is passed, if so, entering S3, otherwise, ending commodity put in storage;
s3, determining storage conditions of the goods to be stored according to the verified two-dimensional codes of the goods to be stored, matching corresponding storage warehouses for the goods to be stored according to the storage conditions of the goods to be stored, and storing the goods to be stored into the corresponding storage warehouses;
s4, updating two-dimensional codes of all commodities in the storage warehouse, and determining priorities of all the commodities;
s5, when receiving the ex-warehouse request, ex-warehouse is carried out according to the priorities of all commodities.
Further, S2 comprises the following sub-steps:
s21, acquiring a two-dimensional code of the commodity to be put in storage, and acquiring the positions of all color coloring points and RGB values of all color coloring points in the two-dimensional code of the commodity to be put in storage;
s22, calculating a gray threshold of a color coloring point of the two-dimensional code of the commodity to be put in according to the position of each color coloring point and the RGB value of each color coloring point;
s23, calculating gray average values of all coloring points in the two-dimensional codes of the commodities to be put in storage;
s24, judging whether the gray threshold of the colored coloring points of the two-dimensional code of the commodity to be put in storage is larger than or equal to the gray average value of all the colored points, if so, verifying and entering S3, otherwise, finishing commodity put in storage.
The beneficial effects of the above-mentioned further scheme are: in the invention, the inventory requirement of commodity warehouse entry is various, and the information quantity of the storage condition is large, so the invention adopts the color two-dimensional code to record the storage condition, the color coloring point is characterized by the R value, the G value and the B value, and the anti-counterfeiting verification can be carried out on the color two-dimensional code by calculating the tri-primary color value.
Further, in S22, the calculation formula of the gray threshold H of the color coloring point of the two-dimensional code of the commodity to be put in storage is:the method comprises the steps of carrying out a first treatment on the surface of the Wherein N represents the number of coloring point rows of the two-dimensional code, M represents the number of coloring point columns of the two-dimensional code, R nm R value, G representing the nth row and mth column nm G value, B representing nth row and mth column nm B value representing nth row and mth column, R 0 R value variance, G, representing all colored points 0 Representing the variance of the G values of all colored points, B 0 Representing the variance of B values for all colored points.
Further, S3 comprises the following sub-steps;
s31, determining storage conditions of the goods to be put in storage according to the verified two-dimensional codes of the goods to be put in storage;
s32, constructing a warehouse storage cost model, inputting commodity storage conditions to be warehoused into the warehouse storage cost model, and generating storage cost coefficients of all warehouses;
s33, acquiring a plurality of warehouses with the lowest storage cost coefficients as an alternative warehouse set;
s34, constructing a warehouse transportation cost model, inputting the alternative warehouse set into the warehouse transportation cost model, and generating transportation cost coefficients of each alternative warehouse;
and S35, taking the alternative warehouse with the lowest transportation cost coefficient as a final storage warehouse.
The beneficial effects of the above-mentioned further scheme are: in the invention, the color two-dimensional code is input with the requirements of commodities on storage conditions before the commodities are put in storage, for example, the commodities with different sizes need to be stored on a shelf with size matching, and the commodities such as fresh and fresh have specific requirements on storage temperature and storage moderately, otherwise, the commodities are damaged, and unnecessary resource waste is caused. After the two-dimensional code passes the verification, the specific storage condition requirement can be obtained by scanning the two-dimensional code. And determining a plurality of alternative warehouses according to the warehouse storage cost model, wherein the storage cost is the lowest. In the process of inventory, the transportation cost factors should be considered, so that a warehouse transportation cost model is also slowly constructed, and a warehouse with the lowest storage cost coefficient and the lowest transportation cost coefficient is taken as an optimal storage warehouse.
Further, in S31, the commodity storage conditions to be put in storage include a storage specification, a storage temperature section, and a storage humidity section.
Further, in S32, the expression of the warehouse storage cost model C is:
the method comprises the steps of carrying out a first treatment on the surface of the Wherein T is 0 Represents the left end point, T, of the storage temperature interval 1 Represents the right end point of the storage temperature interval, S 0 Represents the left end point of the storage humidity interval, S 1 Represents the right end point of the storage humidity interval, V represents the volume of the commodity to be put in storage, and d 1 Weight d representing storage temperature interval 2 Weights representing storage humidity intervals, alpha 1 Representing storage cost per unit storage temperature, alpha 2 Representing storage cost per unit storage humidity, alpha 3 Representing the storage cost per unit volume.
Further, in S34, the expression of the warehouse handling cost model K is:
the method comprises the steps of carrying out a first treatment on the surface of the Wherein J represents the total number of transportation paths of the alternative warehouse, s j Representing the manual transportation cost of the jth transportation path, f j Representing the machine transportation cost of the jth transportation path, p j Loss factor of machine indicating jth conveying path, U 0 Representing the sum of the Euclidean distances of all the conveying paths of the alternative warehouse, V 0 Representing the sum of the travel distances of all travel paths of the alternative warehouse.
The beneficial effects of the above-mentioned further scheme are: in the invention, factors for determining the warehouse transportation cost include manual transportation cost and machine transportation cost, and the loss generated in the transportation process of the machine can further influence the transportation efficiency of the machine and the service life of the later stage of the machine, so the machine loss should be calculated into the transportation cost, and the warehouse transportation cost can be determined by calculating the parameters.
Further, S4 comprises the sub-steps of:
s41, updating two-dimensional codes of all commodities in a storage warehouse, and generating a coloring point matrix of each commodity according to the updated two-dimensional codes of each commodity;
s42, calculating color shading point gray level thresholds of two-dimension codes of all commodities;
s43, arranging the difference values between the characteristic values of the coloring point matrixes of the commodities and the gray level threshold values of the color coloring points of the two-dimensional codes in the order from large to small, and taking the difference values as priorities of all the commodities.
The beneficial effects of the above-mentioned further scheme are: in the invention, after the goods to be put in storage are put in storage, the two-dimension codes of all the goods are updated, so that the two-dimension codes can reflect the storage information of the goods in real time and truly. The goods with the same category and the same requirement on the storage condition are stored in one warehouse, so that the goods can be subjected to priority sorting, the most suitable goods can be matched when a warehouse-out request is received, and the goods with higher priority can be delivered preferentially. For example, the optimal storage time of the earlier-stored A commodity is only 20 days when the earlier-stored A commodity is stored, and the optimal storage time of the later-stored B commodity is also 10 days when the later-stored B commodity is stored, when the warehouse-out request is received, the earlier-stored A commodity is not directly selected, the actual condition of the commodity is synthesized, and whether the optimal-stored B commodity with shorter storage time is selected is judged. In S41, the gray threshold of the color shading point of the two-dimensional codes of all the commodities is obtained by adopting the method of S21-S22.
Further, in S41, element x in the color dot matrix of the commodity ij The calculation formula of (2) is as follows:
the method comprises the steps of carrying out a first treatment on the surface of the Wherein r is ij R value, g representing coloring point of ith row and jth column in two-dimensional code of updated commodity ij G value representing coloring point of ith row and jth column in two-dimensional code of updated commodity, b ij And B value of the coloring point of the ith row and the jth column in the two-dimensional code of the updated commodity is represented.
The beneficial effects of the invention are as follows:
(1) According to the method, the two-dimensional code of the commodity is verified, only the verified commodity is subjected to warehousing operation, the normal inventory state of the warehouse is ensured, and the storage conditions required by the commodity are stored in the two-dimensional code, so that the commodity information can be quickly acquired in the subsequent step, and the whole warehousing management flow is ensured to be smooth;
(2) The invention is a warehouse with consistent commodity matching specification and storage condition, avoids the damage of commodities in the storage process of the warehouse, and can also improve the utilization rate of the warehouse to the greatest extent;
(3) The invention updates and prioritizes the goods in the warehouse, the prioritizing is determined by various information stored in the updated two-dimensional code, instead of singly determining the prioritizing by the warehouse-in time, so that proper goods are selected for warehouse-out when a warehouse-out request is received.
Drawings
FIG. 1 is a flow chart of a method of inventory management of goods.
Detailed Description
Embodiments of the present invention are further described below with reference to the accompanying drawings.
As shown in fig. 1, the present invention provides a commodity inventory management method, comprising the steps of:
s1, acquiring a two-dimensional code of a commodity to be put in storage;
s2, verifying the two-dimensional code of the commodity to be put in storage, judging whether the verification is passed, if so, entering S3, otherwise, ending commodity put in storage;
s3, determining storage conditions of the goods to be stored according to the verified two-dimensional codes of the goods to be stored, matching corresponding storage warehouses for the goods to be stored according to the storage conditions of the goods to be stored, and storing the goods to be stored into the corresponding storage warehouses;
s4, updating two-dimensional codes of all commodities in the storage warehouse, and determining priorities of all the commodities;
s5, when receiving the ex-warehouse request, ex-warehouse is carried out according to the priorities of all commodities.
In an embodiment of the present invention, S2 comprises the following sub-steps:
s21, acquiring a two-dimensional code of the commodity to be put in storage, and acquiring the positions of all color coloring points and RGB values of all color coloring points in the two-dimensional code of the commodity to be put in storage;
s22, calculating a gray threshold of a color coloring point of the two-dimensional code of the commodity to be put in according to the position of each color coloring point and the RGB value of each color coloring point;
s23, calculating gray average values of all coloring points in the two-dimensional codes of the commodities to be put in storage;
s24, judging whether the gray threshold of the colored coloring points of the two-dimensional code of the commodity to be put in storage is larger than or equal to the gray average value of all the colored points, if so, verifying and entering S3, otherwise, finishing commodity put in storage.
In the invention, the inventory requirement of commodity warehouse entry is various, and the information quantity of the storage condition is large, so the invention adopts the color two-dimensional code to record the storage condition, the color coloring point is characterized by the R value, the G value and the B value, and the anti-counterfeiting verification can be carried out on the color two-dimensional code by calculating the tri-primary color value.
In the embodiment of the present invention, in S22, the calculation formula of the gray threshold H of the color coloring point of the two-dimensional code of the commodity to be put in storage is:
the method comprises the steps of carrying out a first treatment on the surface of the Wherein N represents the number of coloring point rows of the two-dimensional code, M represents the number of coloring point columns of the two-dimensional code, R nm R value, G representing the nth row and mth column nm G value, B representing nth row and mth column nm B value representing nth row and mth column, R 0 R value variance, G, representing all colored points 0 Representing the variance of the G values of all colored points, B 0 Representing the variance of B values for all colored points.
In the embodiment of the invention, S3 comprises the following substeps;
s31, determining storage conditions of the goods to be put in storage according to the verified two-dimensional codes of the goods to be put in storage;
s32, constructing a warehouse storage cost model, inputting commodity storage conditions to be warehoused into the warehouse storage cost model, and generating storage cost coefficients of all warehouses;
s33, acquiring a plurality of warehouses with the lowest storage cost coefficients as an alternative warehouse set;
s34, constructing a warehouse transportation cost model, inputting the alternative warehouse set into the warehouse transportation cost model, and generating transportation cost coefficients of each alternative warehouse;
and S35, taking the alternative warehouse with the lowest transportation cost coefficient as a final storage warehouse.
In the invention, the color two-dimensional code is input with the requirements of commodities on storage conditions before the commodities are put in storage, for example, the commodities with different sizes need to be stored on a shelf with size matching, and the commodities such as fresh and fresh have specific requirements on storage temperature and storage moderately, otherwise, the commodities are damaged, and unnecessary resource waste is caused. After the two-dimensional code passes the verification, the specific storage condition requirement can be obtained by scanning the two-dimensional code. And determining a plurality of alternative warehouses according to the warehouse storage cost model, wherein the storage cost is the lowest. In the process of inventory, the transportation cost factors should be considered, so that a warehouse transportation cost model is also slowly constructed, and a warehouse with the lowest storage cost coefficient and the lowest transportation cost coefficient is taken as an optimal storage warehouse.
In the embodiment of the present invention, in S31, the storage conditions of the commodity to be put in storage include a storage specification, a storage temperature interval and a storage humidity interval.
In the embodiment of the present invention, in S32, the expression of the warehouse storage cost model C is:
the method comprises the steps of carrying out a first treatment on the surface of the Wherein T is 0 Represents the left end point, T, of the storage temperature interval 1 Represents the right end point of the storage temperature interval, S 0 Represents the left end point of the storage humidity interval, S 1 Represents the right end point of the storage humidity interval, V represents the volume of the commodity to be put in storage, and d 1 Weight d representing storage temperature interval 2 Weights representing storage humidity intervals, alpha 1 Representing storage cost per unit storage temperature, alpha 2 Representing storage cost per unit storage humidity, alpha 3 Representing the storage cost per unit volume.
In the present invention, the weights of the storage temperature and the storage humidity may be set by human, so that d 1 ＋d 2 ＝１。
In the embodiment of the present invention, in S34, the expression of the warehouse handling cost model K is:
the method comprises the steps of carrying out a first treatment on the surface of the Wherein J represents the total number of transportation paths of the alternative warehouse, s j Representing the manual transportation cost of the jth transportation path, f j Representing the machine transportation cost of the jth transportation path, p j Loss factor of machine indicating jth conveying path, U 0 Representing the sum of the Euclidean distances of all the conveying paths of the alternative warehouse, V 0 Representing the sum of the travel distances of all travel paths of the alternative warehouse.
In the invention, factors for determining the warehouse transportation cost include manual transportation cost and machine transportation cost, and the loss generated in the transportation process of the machine can further influence the transportation efficiency of the machine and the service life of the later stage of the machine, so the machine loss should be calculated into the transportation cost, and the warehouse transportation cost can be determined by calculating the parameters.
In an embodiment of the present invention, S4 comprises the following sub-steps:
s41, updating two-dimensional codes of all commodities in a storage warehouse, and generating a coloring point matrix of each commodity according to the updated two-dimensional codes of each commodity;
s42, calculating color shading point gray level thresholds of two-dimension codes of all commodities;
s43, arranging the difference values between the characteristic values of the coloring point matrixes of the commodities and the gray level threshold values of the color coloring points of the two-dimensional codes in the order from large to small, and taking the difference values as priorities of all the commodities.
In the invention, after the goods to be put in storage are put in storage, the two-dimension codes of all the goods are updated, so that the two-dimension codes can reflect the storage information of the goods in real time and truly.
The goods with the same category and the same requirement on the storage condition are stored in one warehouse, so that the goods can be subjected to priority sorting, the most suitable goods can be matched when a warehouse-out request is received, and the goods with higher priority can be delivered preferentially. For example, the optimal storage time of the earlier-stored A commodity is only 20 days when the earlier-stored A commodity is stored, and the optimal storage time of the later-stored B commodity is also 10 days when the later-stored B commodity is stored, when the warehouse-out request is received, the earlier-stored A commodity is not directly selected, the actual condition of the commodity is synthesized, and whether the optimal-stored B commodity with shorter storage time is selected is judged.
In S41, the gray threshold of the color shading point of the two-dimensional codes of all the commodities is obtained by adopting the method of S21-S22.
In the embodiment of the present invention, in S41, element x in the coloring point matrix of the commodity ij The calculation formula of (2) is as follows:the method comprises the steps of carrying out a first treatment on the surface of the Wherein r is ij R value, g representing coloring point of ith row and jth column in two-dimensional code of updated commodity ij Coloring of ith row and jth column in two-dimensional code for representing updated commodityG value of point, b ij And B value of the coloring point of the ith row and the jth column in the two-dimensional code of the updated commodity is represented.
Those of ordinary skill in the art will recognize that the embodiments described herein are for the purpose of aiding the reader in understanding the principles of the present invention and should be understood that the scope of the invention is not limited to such specific statements and embodiments. Those of ordinary skill in the art can make various other specific modifications and combinations from the teachings of the present disclosure without departing from the spirit thereof, and such modifications and combinations remain within the scope of the present disclosure.
Claims (9)
1. A method for inventory management of goods, comprising the steps of:
s1, acquiring a two-dimensional code of a commodity to be put in storage;
s2, verifying the two-dimensional code of the commodity to be put in storage, judging whether the verification is passed, if so, entering S3, otherwise, ending commodity put in storage;
s3, determining storage conditions of the goods to be stored according to the verified two-dimensional codes of the goods to be stored, matching corresponding storage warehouses for the goods to be stored according to the storage conditions of the goods to be stored, and storing the goods to be stored into the corresponding storage warehouses;
s4, updating two-dimensional codes of all commodities in the storage warehouse, and determining priorities of all the commodities;
s5, when receiving the ex-warehouse request, ex-warehouse is carried out according to the priorities of all commodities.
2. The merchandise inventory management method according to claim 1, wherein said S2 comprises the sub-steps of:
s21, acquiring a two-dimensional code of the commodity to be put in storage, and acquiring the positions of all color coloring points and RGB values of all color coloring points in the two-dimensional code of the commodity to be put in storage;
s22, calculating a gray threshold of a color coloring point of the two-dimensional code of the commodity to be put in according to the position of each color coloring point and the RGB value of each color coloring point;
s23, calculating gray average values of all coloring points in the two-dimensional codes of the commodities to be put in storage;
s24, judging whether the gray threshold of the colored coloring points of the two-dimensional code of the commodity to be put in storage is larger than or equal to the gray average value of all the colored points, if so, verifying and entering S3, otherwise, finishing commodity put in storage.
3. The method for inventory management of commodities according to claim 2, wherein in S22, the calculation formula of the gray threshold H of the color coloring point of the two-dimensional code of the commodity to be put in is:
the method comprises the steps of carrying out a first treatment on the surface of the Wherein N represents the number of coloring point rows of the two-dimensional code, M represents the number of coloring point columns of the two-dimensional code, R nm R value, G representing the nth row and mth column nm G value, B representing nth row and mth column nm B value representing nth row and mth column, R 0 R value variance, G, representing all colored points 0 Representing the variance of the G values of all colored points, B 0 Representing the variance of B values for all colored points.
4. The merchandise inventory management method according to claim 1, wherein said S3 comprises the sub-steps of;
s31, determining storage conditions of the goods to be put in storage according to the verified two-dimensional codes of the goods to be put in storage;
s32, constructing a warehouse storage cost model, inputting commodity storage conditions to be warehoused into the warehouse storage cost model, and generating storage cost coefficients of all warehouses;
s33, acquiring a plurality of warehouses with the lowest storage cost coefficients as an alternative warehouse set;
s34, constructing a warehouse transportation cost model, inputting the alternative warehouse set into the warehouse transportation cost model, and generating transportation cost coefficients of each alternative warehouse;
and S35, taking the alternative warehouse with the lowest transportation cost coefficient as a final storage warehouse.
5. The commodity inventory management method according to claim 4, wherein in S31, the commodity storage conditions to be put in storage include a storage specification, a storage temperature section and a storage humidity section.
6. The commodity inventory management method according to claim 4, wherein in S32, the expression of the warehouse storage cost model C is:
the method comprises the steps of carrying out a first treatment on the surface of the Wherein T is 0 Represents the left end point, T, of the storage temperature interval 1 Represents the right end point of the storage temperature interval, S 0 Represents the left end point of the storage humidity interval, S 1 Represents the right end point of the storage humidity interval, V represents the volume of the commodity to be put in storage, and d 1 Weight d representing storage temperature interval 2 Weights representing storage humidity intervals, alpha 1 Representing storage cost per unit storage temperature, alpha 2 Representing storage cost per unit storage humidity, alpha 3 Representing the storage cost per unit volume.
7. The commodity inventory management method according to claim 4, wherein in S34, the expression of the warehouse handling cost model K is:the method comprises the steps of carrying out a first treatment on the surface of the Wherein J represents the total number of transportation paths of the alternative warehouse, s j Representing the manual transportation cost of the jth transportation path, f j Representing the machine transportation cost of the jth transportation path, p j Loss factor of machine indicating jth conveying path, U 0 Representing the sum of the Euclidean distances of all the conveying paths of the alternative warehouse, V 0 Representing the sum of the travel distances of all travel paths of the alternative warehouse.
8. The merchandise inventory management method according to claim 1, wherein said S4 comprises the sub-steps of:
s41, updating two-dimensional codes of all commodities in a storage warehouse, and generating a coloring point matrix of each commodity according to the updated two-dimensional codes of each commodity;
s42, calculating color shading point gray level thresholds of two-dimension codes of all commodities;
s43, arranging the difference values between the characteristic values of the coloring point matrixes of the commodities and the gray level threshold values of the color coloring points of the two-dimensional codes in the order from large to small, and taking the difference values as priorities of all the commodities.
9. The method according to claim 8, wherein in S41, the element x in the coloring point matrix of the commodity is ij The calculation formula of (2) is as follows:
the method comprises the steps of carrying out a first treatment on the surface of the Wherein r is ij R value, g representing coloring point of ith row and jth column in two-dimensional code of updated commodity ij G value representing coloring point of ith row and jth column in two-dimensional code of updated commodity, b ij And B value of the coloring point of the ith row and the jth column in the two-dimensional code of the updated commodity is represented.
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