CN116739478A - Intelligent storage man-machine interaction cargo management system - Google Patents
Intelligent storage man-machine interaction cargo management system Download PDFInfo
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- CN116739478A CN116739478A CN202310726548.3A CN202310726548A CN116739478A CN 116739478 A CN116739478 A CN 116739478A CN 202310726548 A CN202310726548 A CN 202310726548A CN 116739478 A CN116739478 A CN 116739478A
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- 238000012856 packing Methods 0.000 claims abstract description 41
- 238000007405 data analysis Methods 0.000 claims abstract description 17
- 238000004806 packaging method and process Methods 0.000 claims abstract description 10
- 230000001502 supplementing effect Effects 0.000 claims description 20
- 230000002452 interceptive effect Effects 0.000 claims 9
- 238000007726 management method Methods 0.000 description 12
- 230000006872 improvement Effects 0.000 description 9
- 238000000034 method 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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- 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 relates to the technical field of warehouse goods management, in particular to an intelligent warehouse man-machine interaction goods management system. The system comprises a sales data analysis unit, wherein the output end of the sales data analysis unit is connected with a storage picking unit, the storage picking unit is used for establishing a storage bin position of a product, when order information is received, the storage picking unit judges the position of the product in the order information in the storage bin position and generates a sorting path, the sorting path is used for sorting the product, and the output end of the storage picking unit is connected with a packaging rechecking unit. According to the invention, the goods picking robot picks the goods according to the sorting path, so that the sorting efficiency is improved; after sorting is finished, a container number is generated through the sorting robot, a sorting order is checked through a packing check unit according to the container number, a packing information instruction is sent to a packing table for packing when checking is correct, and the packing is finished and then the sorting order is delivered out of the warehouse, so that the efficiency of the conventional warehouse management system is improved.
Description
Technical Field
The invention relates to the technical field of warehouse goods management, in particular to an intelligent warehouse man-machine interaction goods management system.
Background
Because of the rapid development of e-commerce, each e-commerce platform rapidly rises, thousands of orders flow into a certain designated warehouse for delivery every day, and for warehouse management, the storage position of commodities, order picking distribution status and other links restrict whether the orders can be delivered in time, so that automatic picking, packaging and delivering operation can be formed through a warehouse management system at present.
In the prior warehouse management system, when the picking robot is controlled to pick goods, the goods are usually picked one by one according to the goods information on the order information, but in a certain warehouse, the goods are distributed and put in different positions according to the goods, the picking robot can generate some redundant paths according to the order information (such as redundant picking motion paths of the picking robot caused by reciprocating movement of the picking between a plurality of goods during picking), and the picking path of the picking robot is not planned, so that the overall picking efficiency is affected.
Disclosure of Invention
The invention aims to provide an intelligent storage man-machine interaction cargo management system which aims to solve the problems in the background technology.
In order to achieve the above object, the present invention provides an intelligent storage man-machine interaction cargo management system, which comprises a sales data analysis unit for acquiring sales data of shop products, wherein the sales data analysis unit is used for determining hot and secondary hot sales, the output end of the sales data analysis unit is connected with a storage picking unit, the storage picking unit is used for establishing a storage position of the products, storing the hot and secondary hot sales in the storage position, when receiving order information, the storage picking unit is used for judging the position of the type in the storage position of the order information, generating a sorting path according to the type position, completing sorting of the type of the order information according to the sorting path, the output end of the storage picking unit is connected with a packing checking unit, and the packing checking unit is used for checking the sorted type and sending packing information to a packing table in an error-free manner, so that the type is packed and discharged.
As a further improvement of the technical scheme, the sales data analysis unit comprises a data acquisition module for acquiring a sales data report, wherein the output end of the data acquisition module is connected with a hot-sell product judgment module, and the hot-sell product judgment module is used for analyzing and judging hot-sell products with high sales in the sales data report.
As a further improvement of the technical scheme, the hot goods judging module judges that the hot goods and the secondary hot goods adopt an area judging algorithm, and the algorithm formula is as follows:
wherein P is the sales amount of the class in the sales data report for the month.
As a further improvement of the technical scheme, the storage picking unit comprises a multi-bin storage module for establishing storage bin positions, wherein the output end of the multi-bin storage module is connected with a storage point limiting module, and the storage point limiting module is used for placing the products at different positions in the storage bin positions according to the size information of the products, wherein the placement positions of the products corresponding to the size information are as follows:
the size information includes the length, width and height information of the class, therefore, put the class according to the size of the size numerical value, as follows:
the length value, the width value and the height value of the class are arranged from large to small, and the class is placed in a storage position from low to high according to the values from large to small.
As a further improvement of the technical scheme, the output end of the storage point limiting module is connected with a storage amount judging module, and the storage amount judging module is used for judging whether the storage amount of the corresponding class in the storage position and the order information meets the quantity of the class in the order information or not when the order information is acquired.
As a further improvement of the technical scheme, the output end of the storage amount judging module is connected with a class difference supplementing module and a class sorting module, wherein:
when the storage quantity judging module judges that the stock quantity of the classes is smaller than the quantity of the classes in the order information, the class quantity supplementing module of the supplementing information sends the class quantity supplementing module to the shop terminal;
when the storage amount judging module judges that the stock amount of the products is larger than the quantity of the products in the order information, the generated product picking information is sent to the product picking robot for picking.
As a further improvement of the technical scheme, the storage quantity judging module adopts a ratio algorithm to judge whether the stock quantity of the class and the quantity of the class in order information meet the conditions of picking up and supplementing the goods, and the algorithm formula is as follows:
wherein T is the stock quantity of the classes, and G is the quantity of the classes in the order information.
As a further improvement of the technical scheme, the class sorting module comprises a path priority determining module, wherein the path priority determining module is used for generating a sorting path according to the class placement position in order information when the order information is generated, the output end of the path priority determining module is connected with an automatic sorting module, and the automatic sorting module transmits the sorting path to the picking robot and enables the picking robot to pick the goods.
As a further improvement of the technical scheme, the packaging and rechecking unit comprises a class check module for generating a container number after the picking is finished and checking the order information class according to the container number, and the class check module generates check information.
As a further improvement of the technical scheme, the output end of the class checking module is connected with a class self-packing module, and the class self-packing module generates class packing information according to the checking information of the class checking module and sends out information to a shop terminal after packing is completed.
Compared with the prior art, the invention has the beneficial effects that:
in the intelligent storage man-machine interaction goods management system, the types of hot goods and secondary hot goods in the data report are acquired, the hot goods and the secondary hot goods are stored in a storage bin, the types in order information are acquired in advance through a storage picking unit, and a short time-consuming sorting path is determined according to the positions of the hot goods and the secondary hot goods in the order information, so that a picking robot picks goods according to the sorting path, and the sorting efficiency is improved; after sorting is finished, a container number is generated through the sorting robot, a sorting order is checked through the packing checking unit according to the container number, and when no error exists, a packing information instruction is sent to a packing table for packing, and after packing is finished, the sorting machine performs delivery, so that the efficiency of the conventional warehouse management system is improved.
Drawings
FIG. 1 is a flow chart of the overall module of the present invention;
fig. 2 is a block diagram of a memory amount determination module of the present invention.
The meaning of each reference sign in the figure is:
10. a sales data analysis unit;
110. a data acquisition module; 120. a hot-pin judging module;
20. storing the picking unit;
210. a multi-bank bit storage module; 220. a storage point defining module; 230. a memory amount determination module; 231. class difference supplementing module; 232. a class sorting module; 233. a path priority determination module; 234. an automatic sorting module;
30. packaging and rechecking units;
310. a class checking module; 320. and the class self-packing module.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
Referring to fig. 1-2, the embodiment provides an intelligent warehouse man-machine interaction cargo management system, which comprises a sales data analysis unit 10 for acquiring sales data of products of a store, wherein the sales data analysis unit 10 is used for determining hot and secondary hot products, the output end of the sales data analysis unit 10 is connected with a storage picking unit 20, the storage picking unit 20 is used for establishing a storage position of the products and storing the hot and secondary hot products in the storage position, when receiving order information, the storage picking unit 20 is used for judging the position of the products in the storage position of the order information, generating a sorting path according to the class position, sorting the products according to the sorting path, and the output end of the storage picking unit 20 is connected with a packing rechecking unit 30, and the packing rechecking unit 30 is used for checking the sorted products and sending packing information to a packing table when checking is correct, so that the products are packed and discharged; in this embodiment, the sales data analysis unit 10 obtains a data report of product sales in a store in advance, and can intuitively obtain the types of hot-sold products by obtaining a large number of data reports, and establishes a plurality of storage positions for storing the products by the storage picking unit 20, and sorts the hot-sold products and sub-hot-sold products in different storage positions, so that when the hot-sold products are sorted subsequently, the hot-sold products can be sorted out quickly and automatically by the picking robot, and the sorting efficiency is improved;
next, when the store system has order information, the sorting unit 20 is used for acquiring the types in the order information in advance, and determining sorting paths according to the positions of the hot and sub-hot sales when the sales data analysis unit 10 stores the hot and sub-hot sales, wherein the determined sorting paths are determined according to the placement positions of the types, that is, the sorting robot is determined according to the current position of the sorting robot and the types on the order information, and the shortest path for the sorting robot to sort the types is optimized on the premise that the sorting of the order information is completed, so that sorting efficiency can be greatly improved when the sorting robot sorts the types by the sorting paths;
then, after sorting is completed, the sorting robot automatically generates a container number, and the sorting order is rechecked by the packing rechecking unit 30 according to the container number, and when rechecking is error-free, a packing information instruction is sent to a packing table for packing, and after packing is completed, the sorting robot goes out of the warehouse, so that the efficiency of the conventional warehouse management system is improved.
Aiming at the technical scheme, the following detailed explanation is made:
the sales data analysis unit 10 comprises a data acquisition module 110 for acquiring a sales data report, wherein the output end of the data acquisition module 110 is connected with a hot commodity judging module 120, and the hot commodity judging module 120 is used for analyzing and judging hot commodities with high sales in the sales data report; in a store, a sales data report is made monthly to analyze sales conditions of the store, so that the data acquisition module 110 can directly acquire the sales data report of the store, and can quickly determine hot and secondary hot in the store through the hot determining module 120, wherein the hot refers to: under the time, the selling amount of the product is higher than that of other products, the selling amount of the secondary hot-sell products is smaller than that of the hot-sell products, and the distribution and storage of the hot-sell products and the secondary hot-sell products can be facilitated by determining the hot-sell products and the secondary hot-sell products, so that rapid picking operation can be facilitated subsequently; wherein, according to the following formula, confirm hot goods and inferior hot goods.
The hot goods determining module 120 determines that the hot goods and the sub-hot goods adopt a region determining algorithm, and the algorithm formula is as follows:
and P is the sales amount of the class in the sales data report for the month, and the class is sorted and stored in a storage position by sorting the hot-sold class, the sub-hot-sold class and the general hot-sold class in the sales data report so as to be convenient for a follow-up picking robot to sort the class.
The storage picking unit 20 comprises a multi-bin storage module 210 for establishing storage bins, wherein the output end of the multi-bin storage module 210 is connected with a storage point limiting module 220, the storage point limiting module 220 places the products in different positions in the storage bins according to the size information of the products, and the placement positions of the products corresponding to the size information are as follows:
the size information includes the length, width and height information of the class, therefore, put the class according to the size of the size numerical value, as follows:
the length value, the width value and the height value of the goods are arranged from large to small, and the goods are placed from low to high in the storage warehouse according to the values, and the placing mode is adopted because, when the goods are placed at a high position, the goods picking robot can generate increased load power, and meanwhile, the goods picking robot can also generate potential safety hazards when the goods picking robot is placed at the high position, when the goods picking robot fails accidentally, the goods can fall down, the goods with large volume are damaged by the goods with large position on the one hand, on the other hand, in the falling process, the goods with large volume can impact other nearby goods, but when the goods with large volume are placed at the low position, the goods picking robot cannot generate larger loads (mechanical actions when the mechanical arm of the goods picking robot falls down from the high position, and then, when the goods picking robot falls down, the goods with small size, namely, the goods are placed at the low position, and the storage warehouse can not impact the goods with small size due to the fact that the goods are damaged by the high position.
The output end of the storage point defining module 220 is connected with a storage amount determining module 230, the storage amount determining module 230 is configured to determine, when order information is acquired, whether the storage amount of the corresponding class in the storage library position and the order information satisfies the number of the class in the order information, and the output end of the storage amount determining module 230 is connected with a class difference supplementing module 231 and a class sorting module 232, where:
when the storage amount determining module 230 determines that the stock amount of the class is smaller than the number of the class in the order information, the class difference supplementing module 231 of the supplementing information sends the class difference supplementing module to a shop terminal, the shop terminal refers to a terminal system controlled by a shop staff, after the supplementing information is sent, the shop staff can conveniently know that the stock amount of the class in the storage place is insufficient, timely supplementing the class in the storage place is convenient, and then when the stock amount of the class in the storage place is higher than the number in the order information after the supplementing is completed, the storage amount determining module 230 can generate the picking information, and the class sorting module 232 sends the picking information to the picking robot to start picking;
when the initial storage amount determining module 230 determines that the stock amount of the items is greater than or equal to the number of the items in the order information, the storage amount determining module 230 also generates picking information, and the picking information is sent to the picking robot by the item sorting module 232 to start an automatic picking operation, so that quick sorting and picking of the items in the order information are realized.
According to the above: the storage amount determining module 230 uses a ratio algorithm to determine whether the storage amount of the class and the number of the class in the order information meet the conditions of picking and replenishment, and the algorithm formula is as follows:
wherein T is the stock quantity of the products, G is the quantity of the products in the order information, the formula is referred to, the stock quantity T of the products and the quantity G of the products in the order information are substituted into the formula, and according to the ratio between T/G, whether the order picking information or the order supplementing information is generated is determined, so that the operation of hastening the products can be performed through the product differential supplementing module 231 and the product sorting module 232 respectively.
Then, the sorting module 232 includes a path priority determining module 233, where the path priority determining module 233 is configured to generate a sorting path according to a placement position of the class in the order information when the order information is generated, and an output end of the path priority determining module 233 is connected with an automatic sorting module 234, and the automatic sorting module 234 transmits the sorting path to the picking robot and causes the picking robot to pick the goods; the sorting path is determined according to the placement position of the class in the order information, namely, the class in the order information is acquired, the current position of the picking robot is determined, the shortest time-consuming picking path is determined when the picking robot completes a circle of picking operation, the shortest time-consuming is generated according to the continuous advancing path when the picking robot picks the class, the picking robot is divided to frequently reciprocate in a certain range area to pick the class, the consumed time of the picking robot is shortest when the picking robot picks the class on the order information, then, the picking robot can send the class to the picking robot when the picking path is generated, and the picking robot picks the class according to the sorting path, so that the picking efficiency of the picking robot in the current warehouse operation is improved.
Finally, the packaging and rechecking unit 30 includes a class checking module 310 for generating a container number after the picking, checking the order information class according to the container number, generating checking information by the class checking module 310, connecting the output end of the class checking module 310 with a class self-packaging module 320, generating class packaging information by the class self-packaging module 320 according to the checking information of the class checking module 310, and transmitting the warehouse-out information to the shop terminal after the packaging is completed; the container number is a number plate, in particular a bar code or a number, for marking the products in the order information after the picking robot finishes picking the products, the situation of the order information can be quickly inquired at the shop terminal through the container number, then the products in the order information are conveyed to the product checking module 310, the product checking module 310 acquires the products conveyed by the picking robot through the product identification equipment and checks the products one by one according to the order information, when the checking is correct, check information is generated and sent to the product self-packing module 320, the product self-packing module 320 controls the packing equipment to pack the products, and after the packing is finished, the product output information is generated and sent to the shop terminal, so that the shop terminal personnel can be informed that the products on the order information are output; the product identification equipment can be a monitoring camera, the monitoring camera shoots and identifies the products, and the products are checked with order information one by one to realize the rechecking process of the order information products.
The foregoing has shown and described the basic principles, principal features and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the above-described embodiments, and that the above-described embodiments and descriptions are only preferred embodiments of the present invention, and are not intended to limit the invention, and that various changes and modifications may be made therein without departing from the spirit and scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (10)
1. The utility model provides an intelligent storage man-machine interaction goods management system, includes sales data analysis unit (10) that are used for acquireing shop's product sales data, confirms hot sales article and inferior hot sales article through sales data analysis unit (10), its characterized in that: the output end of the sales data analysis unit (10) is connected with a storage picking unit (20), the storage picking unit (20) is used for establishing a storage position of a product, the hot goods and the secondary hot goods are stored in the storage position, when order information is received, the storage picking unit (20) judges the position of the goods in the storage position in the order information, a sorting path is generated according to the class position, sorting of the goods of the order information is completed according to the sorting path, the output end of the storage picking unit (20) is connected with a packing rechecking unit (30), and the packing rechecking unit (30) is used for checking the sorted goods and sending packing information to a packing table when checking is correct, so that the goods are packed out.
2. The intelligent warehouse human-machine interactive cargo management system as defined in claim 1, wherein: the sales data analysis unit (10) comprises a data acquisition module (110) for acquiring a sales data report, the output end of the data acquisition module (110) is connected with a hot-sell product judgment module (120), and the hot-sell product judgment module (120) is used for analyzing and judging hot-sell products with high sales in the sales data report.
3. The intelligent warehouse human-machine interactive cargo management system as defined in claim 2, wherein: the hot goods judging module (120) judges that the hot goods and the secondary hot goods adopt an area judging algorithm, and the algorithm formula is as follows:
wherein P is the sales amount of the class in the sales data report for the month.
4. The intelligent warehouse human-machine interactive cargo management system as defined in claim 1, wherein: the storage goods picking unit (20) comprises a multi-bin storage module (210) for establishing storage bin positions, a storage point limiting module (220) is connected to the output end of the multi-bin storage module (210), the storage point limiting module (220) is used for placing the goods in different positions in the storage bin positions according to the size information of the goods, wherein the placement positions of the goods corresponding to the size information are as follows:
the size information includes the length, width and height information of the class, therefore, put the class according to the size of the size numerical value, as follows:
the length value, the width value and the height value of the class are arranged from large to small, and the class is placed in a storage position from low to high according to the values from large to small.
5. The intelligent warehouse human-machine interactive cargo management system as defined in claim 4, wherein: the output end of the storage point limiting module (220) is connected with a storage amount judging module (230), and the storage amount judging module (230) is used for judging whether the storage amount of the corresponding class in the storage position and the order information meets the quantity of the class in the order information or not when the order information is acquired.
6. The intelligent warehouse human-machine interactive cargo management system as defined in claim 5, wherein: the output end of the storage amount judging module (230) is connected with a class difference supplementing module (231) and a class sorting module (232), wherein:
when the storage amount judging module (230) judges that the stock amount of the class is smaller than the number of the class in the order information, the class difference supplementing module (231) of the supplementing information sends the class difference supplementing module to the shop terminal;
when the storage amount determination module (230) determines that the stock amount of the class is greater than the number of the class in the order information, the generated picking information is sent to the picking robot by the class sorting module (232) for picking.
7. The intelligent warehouse human-machine interactive cargo management system as defined in claim 6, wherein: the storage amount judging module (230) adopts a ratio algorithm to judge whether the stock quantity of the classes and the quantity of the classes in order information meet the conditions of picking up and supplementing the goods, and the algorithm formula is as follows:
wherein T is the stock quantity of the classes, and G is the quantity of the classes in the order information.
8. The intelligent warehouse human-machine interactive cargo management system as defined in claim 6, wherein: the sorting module (232) comprises a path priority determining module (233), the path priority determining module (233) is used for generating a sorting path according to the placement position of the class in order information when the order information is generated, the output end of the path priority determining module (233) is connected with an automatic sorting module (234), and the automatic sorting module (234) transmits the sorting path to the picking robot and enables the picking robot to pick the goods.
9. The intelligent warehouse human-machine interactive cargo management system as defined in claim 1, wherein: the packaging and rechecking unit (30) comprises a class checking module (310) for generating a container number after the goods are picked up, checking order information classes according to the container number, and generating checking information through the class checking module (310).
10. The intelligent warehouse human-machine interactive cargo management system as defined in claim 9, wherein: the output end of the class checking module (310) is connected with a class self-packing module (320), the class self-packing module (320) generates class packing information according to the checking information of the class checking module (310), and after packing is completed, the class packing information is sent to a shop terminal.
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| 胡玉洁，李春花: "仓储与配送管理", 北京理工大学出版社, pages: 62 * |
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