WO2024056006A1 - 一种仓储管理方法、装置、设备及存储介质 - Google Patents

一种仓储管理方法、装置、设备及存储介质 Download PDF

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Publication number
WO2024056006A1
WO2024056006A1 PCT/CN2023/118654 CN2023118654W WO2024056006A1 WO 2024056006 A1 WO2024056006 A1 WO 2024056006A1 CN 2023118654 W CN2023118654 W CN 2023118654W WO 2024056006 A1 WO2024056006 A1 WO 2024056006A1
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target
electronic device
association
information
association rule
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PCT/CN2023/118654
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English (en)
French (fr)
Inventor
荣华琪
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深圳市库宝软件有限公司
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Publication of WO2024056006A1 publication Critical patent/WO2024056006A1/zh

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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
    • 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
    • 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
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]

Definitions

  • This application relates to the field of intelligent warehousing, and specifically to a warehousing management method, device, equipment and storage medium.
  • this application provides a warehousing management method, device, equipment and storage medium to help solve the problem of confusion in the placement of goods in the warehouse caused by the frequent outbound and return operations of robots after unified warehouse management in the prior art.
  • the problem continues to rise, leading to a gradual decrease in outbound efficiency.
  • embodiments of the present application provide a warehouse management method, including:
  • the first electronic device receives the moving task information sent by the second electronic device;
  • the moving task information includes the identification information of the target commodity;
  • the association rule is used to record the association information of at least two commodities with an association degree higher than a preset threshold
  • determining the target location according to the association rules includes:
  • the first association rule is an association rule corresponding to the target product
  • If there is a first association rule determine the associated products of the target product according to the first association rule; the associated products are other products associated with the target product recorded in the first association rule;
  • the target location is determined based on the at least one idle location information and the location information of the associated merchandise.
  • determining the associated products of the target product according to the first association rule includes:
  • the number of the first association rules is at least two, then determining a second association rule from the at least two first association rules
  • determining the second association rule from at least two of the first association rules includes:
  • the first association rule with the highest priority among the at least two first association rules is determined as the second association rule.
  • the method before transporting the target bin from the current storage location to the picking operation station, the method further includes:
  • it also includes:
  • the historical storage location of the target bin is determined as the target location.
  • determining the historical storage location of the target bin as the target location includes:
  • the historical storage location of the target bin is determined as the target location.
  • it also includes:
  • a target location is determined based on the at least one idle location information.
  • embodiments of the present application provide a warehouse management method, including:
  • the second electronic device determines user order information to be shipped; the user order information to be shipped includes identification information of the target commodity;
  • the box moving task information includes identification information of the target commodity
  • it also includes:
  • it also includes:
  • the sending of user order information in the current cycle to the third electronic device includes:
  • user order information in the current cycle is filtered to obtain valid user order information
  • embodiments of the present application provide a warehouse management method, including:
  • the third electronic device receives the user order information in the current cycle sent by the second electronic device; the user order information in the current cycle includes order information of at least one user order; and the order information of each user order in the at least one user order.
  • the order information includes identification information of at least one commodity
  • a preset association analysis algorithm is used to determine the target association rule; the association rule is used to record the association information of at least two commodities whose association degree is higher than the preset threshold;
  • the receiving the user order information in the current period sent by the second electronic device includes:
  • Determining the target association rules based on the user order information in the current period and using a preset association analysis algorithm includes:
  • a preset association analysis algorithm is used to determine the target association rule.
  • a warehouse management device including:
  • a receiving unit configured to receive the moving task information sent by the second electronic device; the moving task information includes identification information of the target commodity;
  • a processing unit configured to determine the current storage location of the target bin where the target commodity is located based on the moving task information, and transport the target bin from the current storage location to the picking operation platform;
  • the processing unit is also configured to send a request message for obtaining association rules to the second electronic device;
  • the receiving unit is also configured to receive association rules sent by the second electronic device, and determine a target location according to the association rules; the association rules are used to record the relationship between at least two commodities with an association degree higher than a preset threshold. associated information;
  • the processing unit is also used to return the target bin from the picking operation platform to the target location.
  • the receiving unit is specifically configured to determine whether a first association rule exists in the association rules according to the identification information of the target product; the first association rule is an association rule corresponding to the target product;
  • If there is a first association rule determine the associated products of the target product according to the first association rule; the associated products are other products associated with the target product recorded in the first association rule;
  • the target location is determined based on the at least one idle location information and the location information of the associated merchandise.
  • the receiving unit is specifically configured to determine a second association rule from at least two of the first association rules if the number of the first association rules is at least two;
  • the receiving unit is specifically configured to obtain the priorities of the at least two first association rules
  • the first association rule with the highest priority among the at least two first association rules is determined as the second association rule.
  • the processing unit is also configured to update the historical storage location of the target bin to the current storage location of the target bin.
  • the receiving unit is further configured to determine the historical storage location of the target bin as the target location if it is determined that there is no first association rule.
  • the receiving unit is specifically configured to determine whether the historical storage location of the target bin is in an idle state if it is determined that there is no first association rule;
  • the historical storage location of the target bin is determined as the target location.
  • the receiving unit is also configured to obtain at least one free location information if it is determined that the historical storage location of the target bin is in an occupied state;
  • a target location is determined based on the at least one idle location information.
  • a warehouse management device including:
  • a processing unit configured to determine user order information to be shipped; the user order information to be shipped includes identification information of the target commodity;
  • the processing unit is also configured to generate box moving task information based on the user order information to be shipped; the box moving task information includes identification information of the target commodity;
  • the processing unit is also used to send box moving task information to the first electronic device
  • a receiving unit configured to receive a request message for obtaining association rules sent by the first electronic device
  • the processing unit is also configured to obtain the saved association rules and send the association rules to the first electronic device.
  • the receiving unit is also used to receive the target association rule sent by the third electronic device;
  • the processing unit is also configured to update the saved association rules to the target association rules.
  • the warehouse management device further includes: an acquisition unit;
  • the obtaining unit is used to periodically obtain user order information and send the user order information in the current cycle to the third electronic device;
  • the user order information in the current cycle includes order information of at least one user order;
  • the at least The order information of each user order in a user order includes identification information of at least one commodity.
  • the acquisition unit is specifically configured to filter user order information in the current cycle according to preset order filtering rules to obtain valid user order information;
  • a warehouse management device including:
  • a receiving unit configured to receive user order information within the current cycle sent by the second electronic device; the user order information within the current cycle includes order information of at least one user order;
  • a processing unit configured to use a preset association analysis algorithm to determine target association rules based on the user order information in the current cycle; the target association rules include identification information of at least two commodities; the target association rules are used to characterize The correlation degree of at least two products included in the target association rule is higher than the preset threshold;
  • the processing unit is also configured to send the target association rule to the second electronic device.
  • the receiving unit is specifically configured to receive valid user order information sent by the second electronic device;
  • the processing unit is specifically configured to use a preset association analysis algorithm to determine target association rules based on the effective user order information.
  • an embodiment of the present application provides an electronic device, comprising: a processor and a memory, wherein the memory stores a computer program, and when the computer program is executed, the electronic device executes the method described in any one of the first aspect, any one of the second aspect, or any one of the third aspect.
  • embodiments of the present application provide a storage medium, the storage medium including a stored program, Wherein, when the program is running, the device where the storage medium is located is controlled to execute the method described in any one of the above first aspect, any one of the above second aspect, or any one of the above third aspect.
  • the method includes: the first electronic device receives the box-moving task information sent by the second electronic device, where the box-moving task information includes the identification information of the target commodity.
  • the moving task information the current storage location of the target bin where the target product is located is determined, and the target bin is transported from the current storage location to the picking operation platform.
  • a request message for obtaining association rules is sent to the second electronic device.
  • Receive the association rule sent by the second electronic device and determine the target location according to the association rule, where the association rule is used to record association information of at least two commodities whose association degree is higher than a preset threshold. Return the target bin from the picking station to the target location.
  • the first electronic device when it receives the box moving task information sent by the second electronic device, it can determine that it needs to perform the box moving task, and obtain the target product contained in the box moving task information based on the received box moving task information.
  • identification information Determine the current storage location of the target bin where the target commodity is located based on the identification information of the target commodity contained in the box moving task information.
  • the first electronic device can record the bins in which multiple commodities are located and their storage locations on the warehouse shelves.
  • the target where the target commodity is located can be determined based on the identification information of the target commodity and the correspondence between the recorded bins and storage locations of the various commodities. bin, and the current storage location of the target bin.
  • the first electronic device After determining the current storage location of the target bin, the first electronic device can transport the target bin from the current storage location to the picking operation station, so that the shipper can pick the target product from the target bin to complete the shipment. . Then, the first electronic device needs to return the target bin from the picking operation platform to the shelf in the warehouse. At this time, the first electronic device can send an acquisition association rule request message to the second electronic device, so that the second electronic device receives the After obtaining the association rule request message, send the association rule to the first electronic device. The first electronic device receives the association rules sent by the second electronic device, determines the target location according to the received association rules, and returns the target bin from the picking operation station to the target location.
  • the placement of goods has certain rules. For example, goods with a higher purchase frequency are placed closer to the picking console, and users will buy them at the same time.
  • the products are placed at similar locations.
  • the first electronic device when the first electronic device needs to return the target bin, it can obtain the association rules through the second electronic device, and determine the target location for returning the target bin according to the association rules, and Instead of directly determining the original storage location as the target location or randomly selecting an idle location as the target location, warehouse management can be realized during the return process of boxes out of the warehouse, so that after unified warehouse management, the goods in the warehouse will not be damaged due to frequent The placement is too chaotic during the outbound and return operation, in order to improve the outbound efficiency of the first electronic equipment.
  • Figure 1 is a schematic flow chart of a warehouse management method provided by an embodiment of the present application.
  • Figure 2 is a schematic flow chart of another warehouse management method provided by an embodiment of the present application.
  • Figure 3 is a schematic flow chart of another warehouse management method provided by an embodiment of the present application.
  • Figure 4 is a schematic flow chart of another warehouse management method provided by an embodiment of the present application.
  • Figure 5 is a schematic flow chart of another warehouse management method provided by an embodiment of the present application.
  • Figure 6 is a schematic diagram of an application scenario of a warehouse management method provided by an embodiment of the present application.
  • Figure 7 is a schematic flow chart of another warehouse management method provided by an embodiment of the present application.
  • Figure 8 is a schematic structural diagram of a warehouse management device provided by an embodiment of the present application.
  • Figure 9 is a schematic structural diagram of another warehouse management device provided by an embodiment of the present application.
  • Figure 10 is a schematic structural diagram of another warehouse management device provided by an embodiment of the present application.
  • Figure 11 is a schematic structural diagram of another warehouse management device provided by an embodiment of the present application.
  • Figure 12 is a schematic structural diagram of an electronic device provided by an embodiment of the present application.
  • the warehouse management system provides batch management, material correspondence, inventory counting, and quality inspection management through functions such as inbound business, outbound business, warehouse allocation, inventory allocation, and virtual warehouse management. , virtual warehouse management and real-time inventory management and other functions, it can effectively control and track the entire logistics and cost management process of warehouse business, and realize or improve the enterprise's warehousing information management.
  • the system can perform inventory operations independently, or can be used in conjunction with documents and vouchers from other systems to provide enterprises with more complete corporate logistics management processes and financial management information.
  • Association rules (Apriori) algorithm It is the first association rule mining algorithm and the most classic algorithm. It uses an iterative method of layer-by-layer search to find the relationship between item sets in the database to form rules. The process consists of connection (matrix-like operations) and pruning (removing unnecessary intermediate results).
  • the concept of itemset in this algorithm is a collection of items. A set containing K items is a k-itemset. The frequency of occurrence of an itemset is the number of transactions containing the itemset, which is called the frequency of the itemset. If an itemset satisfies the minimum support, it is called a frequent itemset.
  • Frequent Pattern-Growth (FP-Growth) algorithm It is an efficient method to discover frequent sets.
  • the following divide-and-conquer strategy is adopted: the database providing frequent item sets is compressed into a frequent pattern tree (FP-tree), but the item set association information is still retained.
  • a data structure called a Frequent Pattern Tree is used in the algorithm.
  • FP-tree is a special type of prefix tree, consisting of a frequent item header table and an item prefix tree.
  • the FP-Growth algorithm speeds up the entire mining process based on the above structure.
  • Cloud computing platform is also called cloud platform: it refers to services based on hardware resources and software resources, providing computing, network and storage capacity. Cloud computing platforms can be divided into three categories: storage cloud platforms that focus on data storage, computing cloud platforms that focus on data processing, and comprehensive cloud computing platforms that take into account both computing and data storage and processing.
  • SKU Stock Keeping Unit
  • DC distributed center
  • goods are usually placed in units of pieces, boxes or boxes, and the pieces, boxes or boxes are the inventory units.
  • the goods in the warehouse are sorted out once a quarter. For example, during the sorting process, the goods are placed by category, and the bins containing the goods with larger orders are placed closer to the picking table. Position, place related products in nearby bins or shelves, so that the robot can spend less time transporting the bins where the products are located to the picking operation table. After each delivery, the robot will give priority to returning the bin where the product is located to its original location. However, if the original location is occupied, a free location will be randomly selected and the bin will be placed there.
  • the warehouse management method includes: a first electronic device receiving box moving task information sent by a second electronic device, where the box moving task information includes identification information of a target commodity. According to the moving task information, the current storage location of the target bin where the target product is located is determined, and the target bin is transported from the current storage location to the picking operation platform. A request message for obtaining association rules is sent to the second electronic device. Receive the association rule sent by the second electronic device, and determine the target location according to the association rule, where the association rule is used to record association information of at least two commodities whose association degree is higher than a preset threshold. Return the target bin from the picking station to the target location.
  • the first electronic device when it receives the box moving task information sent by the second electronic device, it can determine that it needs to perform the box moving task, and obtain the target product contained in the box moving task information based on the received box moving task information. identification information.
  • the identification information of the target commodity contained in the information determines the current storage location of the target bin where the target commodity is located.
  • the first electronic device can record the correspondence between the bins where the multiple commodities are located and their storage locations on the warehouse shelves. Then after obtaining the identification information of the target commodity, the target bin where the target commodity is located can be determined based on the identification information of the target commodity and the recorded correspondence between the bins where the multiple commodities are located and their storage locations, and The current storage location of the target bin.
  • the first electronic device After determining the current storage location of the target bin, the first electronic device can transport the target bin from the current storage location to the picking operation station, so that the shipper can pick the target product from the target bin to complete the shipment. . Then, the first electronic device needs to return the target bin from the picking operation platform to the shelf in the warehouse. At this time, the first electronic device can send an acquisition association rule request message to the second electronic device, so that the second electronic device receives the After obtaining the association rule request message, send the association rule to the first electronic device. The first electronic device receives the association rules sent by the second electronic device, determines the target location according to the received association rules, and returns the target bin from the picking operation station to the target location.
  • the placement of goods has certain rules. For example, goods with a higher purchase frequency are placed closer to the picking console, and users will buy them at the same time.
  • the products are placed at similar locations.
  • the first electronic device when the first electronic device needs to return the target bin, it can obtain the association rules through the second electronic device, and determine the target location for returning the target bin according to the association rules, and Instead of directly determining the original storage location as the target location or randomly selecting an idle location as the target location, warehouse management can be realized during the return process of boxes out of the warehouse, so that after unified warehouse management, the goods in the warehouse will not be damaged due to frequent
  • the placement is too chaotic during the outbound and return operation, in order to improve the outbound efficiency of the first electronic equipment. The details are explained below.
  • Figure 1 is a schematic flowchart of a warehouse management method provided by an embodiment of the present application. As shown in Figure 1, the method includes the following steps:
  • Step S101 The first electronic device receives the moving task information sent by the second electronic device.
  • the box moving task information includes the identification information of the target commodity.
  • the second electronic device stores user order information to be shipped out, where the user order information at least includes identification information of the goods ordered by the user.
  • the second electronic device can generate moving task information based on the user order information to be shipped out of the warehouse, and send the moving task information to the first electronic device.
  • the first electronic device receives the moving task information sent by the second electronic device and can learn the needs Execute the operation of goods out of the warehouse according to the moving task information.
  • the first electronic device can be a storage and transportation robot, or other equipment that can transport commodities, and this application does not limit this.
  • Step S102 Determine the current storage location of the target bin where the target product is located based on the moving task information, and transport the target bin from the current storage location to the picking operation platform.
  • the first electronic device can obtain the identification information of the target commodity that needs to be moved based on the box moving task information, and can obtain the current storage location of the target bin where the target commodity is located based on the identification information of the target commodity. For example, assuming that the location information of all commodities in the warehouse is stored in the second electronic device, when determining the moving task information, the second electronic device can add the identification information of the target commodity to the moving task information and at the same time, add the location of the target commodity to the moving task information. The current storage location of the target bin is added to the moving task information, and then the first electronic device can obtain the current storage location of the target bin where the target product is located based on the moving task information.
  • the first electronic device may send a request message to obtain the location information of the target commodity to the second electronic device, where the request message carries the identification information of the target commodity.
  • the second electronic device may, according to the target product carried in the request message, identification information of the product, determine the target bin where the target commodity is located and its current storage location information, and then send the current storage location information of the target bin where the target commodity is located to the first electronic device, and the first electronic device receives the target bin where the target commodity is located.
  • the current storage location information of the material box After determining the current storage location of the target bin where the target product is located, the first electronic device can transport the target bin from the current storage location to the picking operation platform.
  • Step S103 Send a request message for obtaining association rules to the second electronic device.
  • the goods in the warehouse will be unified and sorted every preset time period.
  • the goods with a larger order quantity are usually sorted into the warehouse.
  • the material boxes are placed closer to the picking operation table, and related products are placed in similar locations.
  • the first electronic device directly returns the material box in which the goods are located to any free location after each completion of shipment, it will cause the placement of goods in the warehouse to become increasingly chaotic, causing the first electronic device to be shipped out of the warehouse. Efficiency is getting lower and lower.
  • the first electronic device after completing the outbound delivery, can first send a request message to obtain the association rules to the second electronic device, so that the second electronic device can receive the request after receiving the request. After the message, the association rule saved by the first electronic device is sent.
  • Step S104 Receive the association rule sent by the second electronic device, and determine the target location according to the association rule.
  • association rules are used to record the association information of at least two commodities whose association degree is higher than a preset threshold.
  • the second electronic device after receiving the request message, sends its saved association rule to the first electronic device.
  • the first electronic device receives the association rule sent by the second electronic device. If the association degree recorded in the association rule is higher than the preset If the association information of at least two commodities with a threshold value contains association information between the target commodity and other commodities, then the association rules corresponding to the target commodity can be determined from the received association rules, and based on the association rules corresponding to the target commodity, the association rules corresponding to the target commodity can be determined.
  • Related products of the target product and determine the target location based on the location of the related products. For example, you can select an idle position with the shortest distance from the related products of the target product as the target position among the free positions in the warehouse.
  • determining the target location according to association rules includes:
  • the first association rule is the association rule corresponding to the target product
  • If there is a first association rule determine the associated products of the target product according to the first association rule; the associated products are other products associated with the target product recorded in the first association rule;
  • the first electronic device needs to first determine whether there are association rules corresponding to the target product in the association rules. At this time, the first electronic device determines whether there is an association rule corresponding to the target product in the association rules, that is, the first association rule, based on the identification information of the target product. Since the association rules record the association information of at least two products with a degree of association higher than the preset threshold, if there is a first association rule, it means that the target product is a product with a high order volume and has a high relationship with other products. Therefore, the first electronic device can determine the related products of the target product based on other products related to the target product recorded in the first association rule.
  • the first electronic device can record the location information of all goods and the free location information in the warehouse, then the first electronic device can record the location information of all goods and the free location information in the warehouse.
  • the electronic device may obtain the location information of the associated merchandise of the target merchandise from the stored location information of all merchandise based on the associated merchandise of the target merchandise, and obtain at least one recorded idle location information. It is also possible that the location information of all commodities and at least one free location information in the warehouse are recorded in other electronic devices.
  • the other electronic device may be a second electronic device or other storage device, which is not limited by this application.
  • the first electronic device can send a request message to obtain the first location information to the second electronic device. and a request message for obtaining idle location information, wherein the request message for obtaining the first location information carries the identification information of the associated commodity of the target commodity, so that when the second electronic device receives the request message for obtaining the first location information, The location information of the associated goods of the target commodity can be sent to the first electronic device according to the request message.
  • the request message for obtaining the free location information at least one free location information is determined and the at least one free location information is sent to the first electronic device. location information.
  • the first electronic device can also obtain the location information and at least one free location information of the associated product through other methods, which is not limited by this application.
  • the target location can be determined based on the location information of the associated product and at least one free location information.
  • the first electronic device can determine the target location. The distance between the idle position and the picking operation table, the distance between the idle position and the position of the associated product, and the distance between the idle position and the picking operation table, and the distance between the idle position and the position of the related product are calculated. Then, among at least one idle position, the idle position with the smallest corresponding distance sum is determined as the target position.
  • the first association rule exists in the association rule, it means that the target product is a product with a high order quantity, and there is an associated product of the target product.
  • the first electronic device returns the target bin where the target product is located.
  • the idle position with the smallest sum of distances from the picking operation table and the related products of the target product can be determined as the target position among all the free positions, so that the target products with higher order frequency can be stored in the picking operation table and its related products.
  • the related goods are relatively close to each other, thereby improving the efficiency of subsequent shipment of the first electronic device.
  • determining the associated products of the target product according to the first association rule includes:
  • the associated products of the target product are determined.
  • the second association rule is determined from at least two first association rules.
  • one first association rule may be randomly selected from at least two first association rules.
  • the association rule serves as the second association rule; it can also be that since each association rule records the association information of at least two commodities with an association degree higher than the preset threshold, it can be based on each of the at least two first association rules.
  • the first association rule with the highest corresponding degree of association is determined as the second association rule.
  • the second association rule can also be determined from at least two first association rules in other ways. Then, the first electronic device may determine related products of the target product recorded in the second association rule based on the determined second association rule.
  • association rules include association rule 1, association rule 2, association rule 3, association rule 1 and association rule 2 are the association rules corresponding to product A, that is, the first association rule.
  • Association rule 1 includes product A, product B, and product C, and the association degree is 80%.
  • Association rule 2 includes product A, product D, and product E, and the association degree is 85%. Therefore, the association degree corresponding to association rule 2 is higher. High, so association rule 2 is determined as the second association rule.
  • Product D and product E in association rule 2 are the associated products of product A.
  • determining the second association rule among at least two first association rules includes:
  • the first association rule with the highest priority among the at least two first association rules is determined as the second association rule.
  • the first electronic device may determine the priority for the at least two association rules. For example, the first electronic device may determine the priority based on the number of commodities recorded in each association rule. level, or, since each first association rule records association information of at least two commodities whose association degree is higher than the preset threshold, it can be based on the corresponding information of each first association rule in the at least two first association rules.
  • the relevance determines the priority, and determines the priority of each of the at least two first association rules in order from high to low relevance, where the higher the relevance of the first association rule, the corresponding The higher the priority.
  • the priorities of at least two first association rules can also be determined in other ways, and this application is not limited to this. Then, according to the priorities of the at least two first association rules, the first association rule with the highest priority among the at least two first association rules is determined as the second association rule.
  • Step S105 Return the target bin from the picking console to the target location.
  • the first electronic device can return the target bin from the picking operation station to the target location.
  • the first electronic device receives the box-moving task information sent by the second electronic device.
  • the box-moving task information includes the identification information of the target commodity: commodity A.
  • the first electronic device sends a request message to obtain the location of the target commodity to the second electronic device based on the identification information of the target commodity in the moving task information, and the second electronic device
  • the current storage location of the target bin where the target product is located is returned to the first electronic device, and the target bin is transported from the current storage location to the picking operation platform.
  • the first electronic device can send a request message to obtain the association rules to the second electronic device.
  • association rules include: association rule 1, association rule 2, and association rule 3.
  • association rule 1 includes product A and product B. , C product, the correlation degree is 80%;
  • Association rule 2 includes A product, D product, the correlation degree is 85%;
  • Association rule 3 includes E product, F product, the correlation degree is 82%.
  • the identification information of the target product Product A
  • Association Rule 1 includes product A and product B.
  • C product the correlation degree is 80%
  • Association rule 2 includes A product, D product, the correlation degree is 85%
  • Association rule 3 includes E product, F product, the correlation degree is 82%.
  • association rule 2 it is determined that the priority of association rule 2 is higher than the priority of association rule 1, and the association rule 2 with the highest priority is determined. is the second association rule.
  • association rule 2 it is determined that the associated product of the target product (A product) is D product.
  • the first electronic device can send a request message to obtain the first location information to the second electronic device, and the request message carries the D product.
  • the second electronic device receives the request message to obtain the first location information, and then determines the D product. location information and send it to the first electronic device.
  • the first electronic device may send a request message for obtaining idle position information to the second electronic device.
  • the second electronic device After receiving the request message for obtaining idle position information, the second electronic device determines at least one idle position information in the warehouse and sends the request message to the first electronic device. The device sends at least one free location information. After receiving the location information of product D and at least one free location information, the first electronic device determines the distance between the free location and the location of product D and the distance between the free location and the picking operation platform for each free location information. distance, and calculate the total distance L based on the distance between the vacant position and the location of product D and the distance between the vacant position and the picking operation platform. After determining the middle distance L corresponding to at least one idle position, the idle position with the smallest corresponding total distance L can be determined as the target position, and then the target bin is returned to the target position from the picking operation platform.
  • Figure 2 is a schematic flow chart of another warehouse management method provided by an embodiment of the present application.
  • first association rule the situation where there is no association rule (first association rule) corresponding to the target product in the association rules is considered, as follows.
  • Step S201 The first electronic device receives the moving task information sent by the second electronic device.
  • the box moving task information includes the identification information of the target product.
  • step S101 which will not be described again here.
  • Step S202 Determine the current storage location of the target bin where the target product is located based on the moving task information, update the historical storage location of the target bin to the current storage location of the target bin, and transport the target bin from the current storage location. to the picking console.
  • the first electronic device can record the original storage location of the target material box in the warehouse, that is, the historical storage location. Therefore, before transporting the target bin from the current storage location to the picking operation station, the first electronic device can update the historical storage location of the target bin to the current storage location of the target bin.
  • step S102 For details, reference may be made to step S102, which will not be described again here.
  • Step S203 Send a request message for obtaining association rules to the second electronic device.
  • step S103 Please refer to step S103, which will not be described again here.
  • Step S204 Receive the association rule sent by the second electronic device, and determine the target location according to the association rule.
  • step S104 which will not be described again here.
  • it also includes:
  • the historical storage location of the target bin is determined as the target location.
  • the historical storage location of the target bin can be determined as the target location.
  • determining the historical storage location of the target bin as the target location includes:
  • the historical storage location of the target material box is determined as the target location.
  • At least one free location information is obtained.
  • the historical storage location of the target material box is determined. Before setting the target location, it is necessary to first confirm whether the historical storage location is in an idle state. Assume that the second electronic device records that the storage location in the warehouse is in an idle state or is in an occupied state. At this time, the first electronic device can send a message to the second electronic device. A request message for obtaining the status information of the historical storage location. The request message carries the identification information of the historical storage location, so that when the second electronic device receives the request message, it returns the historical storage location. Location status information.
  • the first electronic device receives the status information of the historical storage location returned by the second electronic device. If it is determined that the historical storage location of the target bin is in an idle state, it determines the historical storage location of the target bin as the target location. Alternatively, if it is determined that the historical storage location of the target bin is in an occupied state, at least one free location information is obtained. At this time, the first electronic device can send a request message for obtaining the free location information to the second electronic device, so that the second electronic device When receiving a request message for obtaining an idle location, the device determines the location information of at least one storage location in an idle state, and sends the at least one idle location information to the first electronic device. Then, the first electronic device may determine the target location based on at least one idle location information.
  • one free location can be randomly selected as the target location from the at least one free location information
  • one free location closest to the historical storage location can be selected as the target location from the at least one free location information
  • Select an idle position closest to the picking operation table as the target position.
  • other methods can also be used to determine the target position, and this application does not limit this.
  • Step S205 Return the target bin from the picking operation station to the target location.
  • step S105 which will not be described again here.
  • the association rules corresponding to the target product can be obtained. If there are association rules corresponding to the target product, it means that the target product is frequently ordered. commodity, and there is a commodity whose correlation degree with the target commodity is higher than the preset threshold, that is, the related commodity of the target commodity.
  • the first electronic device can obtain at least one idle position, and determine an idle position that is relatively close to the associated products of the target product and the picking operation station as the target position in the at least one idle position.
  • the distance between the target product and the picking console is relatively close, and the distance between the target product and its related products is also relatively close, which can improve the efficiency of shipping out the first electronic device.
  • First Electronic Equipment tallied goods based on association rules during the shipping and return process, the placement of the goods was not too confusing, which reduced the system tallying pressure to a certain extent and improved system management. cargo efficiency.
  • Figure 3 is a schematic flowchart of another warehouse management method provided by an embodiment of the present application. Applied to the second electronic device, the method includes:
  • Step S301 The second electronic device determines user order information to be shipped.
  • the user order information to be shipped includes identification information of the target product.
  • the mobile terminal will send the user's order information to the second electronic device.
  • the second electronic device may be an electronic device provided with a warehouse management system (Warehouse Management System, WMS).
  • WMS Warehouse Management System
  • User order information at least includes the identification information of the target product, the time when the order was submitted, order number information, etc.
  • the second electronic device receives the user order information and determines that it needs to be shipped out according to the user order information. Since the second electronic device will receive multiple user order information submitted by the user, the second electronic device can, according to the time of order submission in the multiple user order information, order the submitted orders among the multiple user orders in chronological order. The oldest user order information is determined as the user order information to be shipped.
  • Step S302 Generate box moving task information based on user order information to be shipped.
  • the box moving task information includes the identification information of the target product.
  • the box moving task information is generated based on the identification information of the target commodity in the user order information to be shipped, where the box moving task information includes the identification information of the target commodity.
  • Step S303 Send the moving task information to the first electronic device.
  • the second electronic device can send the moving task information to the first electronic device, so that after receiving the moving task information, the first electronic device performs an outbound operation on the target commodity.
  • Step S304 Receive a request message for obtaining association rules sent by the first electronic device.
  • the first electronic device After the first electronic device completes the outbound operation and needs to return the target box where the target product is located to the warehouse from the picking console, it needs to determine the target location first. At this time, the first electronic device will send the target to the second electronic device. The electronic device sends a request message for obtaining association rules to obtain the association rules. The second electronic device receives a request message sent by the first electronic device to obtain association rules.
  • Step S305 Obtain the saved association rules and send the association rules to the first electronic device.
  • the second electronic device can obtain the saved association rules and send the association rules to the first electronic device.
  • FIG. 4 is a schematic flowchart of another warehouse management method provided by an embodiment of the present application. The method is detailed as follows.
  • Step S401 The second electronic device determines user order information to be shipped.
  • the user order information to be shipped includes identification information of the target product.
  • step S301 which will not be described again here.
  • Step S402 Generate box moving task information based on the user order information to be shipped.
  • the box moving task information includes the identification information of the target commodity.
  • step S302 which will not be described again here.
  • Step S403 Send the moving task information to the first electronic device
  • step S303 which will not be described again here.
  • Step S404 Receive a request message for obtaining association rules sent by the first electronic device.
  • step S304 which will not be described again here.
  • Step S405 Obtain the saved association rules and send the association rules to the first electronic device.
  • step S305 which will not be described again here.
  • Step S406 Periodically obtain user order information, and send the user order information in the current cycle to the third electronic device.
  • the user order information in the current cycle includes order information of at least one user order; the order information of each user order in the at least one user order includes identification information of at least one commodity.
  • the second electronic device records order information of all user orders, and the order information of each user order includes identification information of at least one commodity purchased by the user.
  • the second electronic device can periodically obtain its recorded user order information and send the user order information in the current cycle to the third electronic device, so that the third electronic device can generate association rules based on the user order information in the current cycle, so that First, it can ensure that the association rules are updated based on the current user's order information.
  • the user order information in the current cycle includes order information of at least one user order, and the order information of each user order in the at least one user order includes identification information of at least one commodity.
  • the sending the user order information in the current cycle to the third electronic device includes:
  • user order information in the current cycle is filtered to obtain effective User order information
  • the second electronic device may first filter the items in the current period according to the preset order filtering rules.
  • User order information is filtered.
  • the preset order filtering rules can filter out order information with less than two product types or more than twenty product types.
  • order filtering rules can also be set in advance according to actual needs. There are no restrictions on applications. After filtering the user order information in the current cycle, valid user order information is obtained, and then the valid user order information is sent to the third electronic device.
  • the second electronic device before sending the user order information of the current period to the third electronic device, can perform basic data descriptive statistical analysis and EIQ analysis on the user order information of the current period to obtain the order basis.
  • Data information such as the number of inventory unit (Stock Keeping Unit, SKU) varieties, total order number, shipment (Entry Quantity, EQ) analysis, item quantity (Item Quantity, IQ) analysis, etc., and then display the analysis results To the warehouse manager so that the warehouse manager can know the current warehouse storage and shipment status.
  • Step S407 Receive the target association rule sent by the third electronic device.
  • the third electronic device can generate a target association rule based on the user order information in the cycle. , sending the target association rule to the second electronic device, and the second electronic device receives the target association rule sent by the third electronic device.
  • Step S408 Update the saved association rule to the target association rule.
  • the second electronic device can learn that the association rule has been updated. At this time, the second electronic device can update the saved association rule to the target association rule.
  • the second electronic The device can periodically send user order information to the third electronic device, so that the third electronic device generates target association rules based on the latest user order information, and returns the target association rules to the second electronic device, then the second electronic device saves Have the latest association rules.
  • the second electronic device can send the latest saved association rule to the first electronic device, so that the first electronic device can perform a return operation according to the association rule.
  • steps S401 to step S405 are the specific operation procedures for the second electronic device to send the moving task information and association rules to the first electronic device
  • steps S406 to step S408 are for the second electronic device to send the third electronic device to the third electronic device.
  • the second electronic device may first perform steps S401 to step S405, and then perform steps S406 to step S408. It may also perform steps S406 to step S408 first, and then perform steps S401 to step S405. It may also perform steps S401 to step S405 at the same time. S406 to step S408, this application does not limit this.
  • FIG. 5 is a schematic flowchart of another warehouse management method provided by an embodiment of the present application. Applied to the third electronic device, the method is specifically as follows.
  • Step S501 The third electronic device receives the user order information in the current period sent by the second electronic device.
  • the user order information in the current cycle includes order information of at least one user order; the order information of each user order in the at least one user order includes identification information of at least one commodity.
  • the second electronic device after acquiring the user order information in the current cycle, the second electronic device will send the user order information in the current cycle to the third electronic device, and the third electronic device receives the user order information in the current cycle sent by the second electronic device. order information.
  • the receiving the user order information in the current period sent by the second electronic device includes:
  • the third electronic device receives the valid user order information sent by the second electronic device.
  • Step S502 Based on the user order information in the current cycle, use a preset correlation analysis algorithm to determine the target correlation rule.
  • association rules are used to record the association information of at least two commodities whose association degree is higher than a preset threshold.
  • the third electronic device can determine the target association rule using a preset association analysis algorithm based on the user order information in the current cycle.
  • the preset correlation analysis algorithm may be a Frequent Pattern-Growth (FP-Growth) algorithm or other correlation analysis algorithms, which is not limited by this application.
  • FP-Growth Frequent Pattern-Growth
  • the following embodiments will take the FP-Growth algorithm as an example to illustrate.
  • At least one frequent item set whose support is not less than the preset support threshold is determined.
  • Each frequent item set contains at least one frequent item. For each frequent item set, determine its corresponding confidence level, determine the frequent item set whose confidence level is higher than the preset confidence threshold as the target frequent item set, and generate its corresponding target association rule for each target frequent item set , the target association rules contain target frequent item sets and their corresponding confidence levels.
  • the preset support threshold and the preset confidence threshold can be set according to actual needs, and this application does not impose restrictions on this.
  • the third electronic device can be a cloud computing server. All data processing processes are processed in the cloud and target association rules are output, thereby avoiding a large number of writing/reading processes and improving the processing efficiency of user order information.
  • the third electronic device may also be other electronic devices, which is not limited in this application.
  • the commodities in the warehouse include: A commodity, B commodity, C commodity, D commodity, E commodity, F commodity, G commodity, H commodity, I commodity, J commodity, K commodity, L commodity, M commodity
  • the user order information in the current cycle includes user order information 1, user order information 2, user order information 3, user order information 4, and user order information 5.
  • the details of each user order information are shown in Table 1.
  • the support of each product Based on the user order information in the current cycle, determine the support of each product, that is, the number of times each product appears in the above five user order information. For each user's order information, the identification information of the product whose support is not less than the preset support threshold in the user's order information is determined, which is a frequent item. Assuming that the preset support threshold is 3, the frequent items in each user's order information are shown in Table 2.
  • path 1 is generated: ⁇ (C:1),(A:1),(F:1),(M:1),(N:1) ⁇ ;
  • path 2 ⁇ (C:1), (A:1), (N:1) ⁇ .
  • the first two items of path 2 are the same as path 1.
  • the corresponding frequent itemset is determined upwards from the end node of each path in the FP-tree in Figure 6(5), and the frequent item set is determined starting from the first end node N.
  • Node N exists in path 1. : ⁇ (C:1),(A:1),(F:1),(M:1),(N:1) ⁇ , path 2: ⁇ (C:1),(A:1),( N:1) ⁇ , path 4: ⁇ (M:1),(N:1) ⁇ , but path 1, path 2 and path 4 only appear once. Since the minimum support threshold is 3, it can only be determined A frequent itemset ⁇ (N:3) ⁇ is generated. The frequent itemset ⁇ (N:3) ⁇ contains N products, and the corresponding support is 3.
  • the frequent itemset ⁇ (C:4) ⁇ contains a non-empty subset ⁇ (CA:3) ⁇ , so the frequent itemset ⁇ ( The confidence of CA:3) ⁇ is the ratio of the support of the frequent itemset ⁇ (CA:3) ⁇ to the support of the frequent itemset ⁇ (C:4) ⁇ , which is 75%.
  • the preset confidence threshold is 70%, then the frequent item set ⁇ (CA:3) ⁇ can be determined as the target association rule, and the corresponding confidence level is 75%.
  • association rules are used to record the association information of at least two commodities whose association degree is higher than the preset threshold.
  • the preset association analysis algorithm is the FP-Growth algorithm
  • the above confidence level is the degree of correlation
  • the above-mentioned preset confidence threshold is the preset threshold.
  • Step S503 Send the target association rule to the second electronic device.
  • the third electronic device may send the target association rule to the second electronic device.
  • FIG. 7 is a schematic flowchart of another warehouse management method provided by an embodiment of the present application. The method is detailed as follows.
  • Step S701 The second electronic device determines user order information to be shipped.
  • step S301 which will not be described again here.
  • Step S702 Generate box moving task information based on user order information to be shipped.
  • step S302 which will not be described again here.
  • Step S703 Send the moving task information to the first electronic device, and the first electronic device receives the moving task information.
  • step S303 which will not be described again here.
  • Step S704 The first electronic device determines the current storage location of the target bin where the target commodity is located based on the moving task information, updates the historical storage location of the target bin to the current storage location of the target bin, and changes the target bin from The current storage location is transported to the picking operation table.
  • step S102 and step S202 which will not be described again here.
  • Step S705 The first electronic device sends a request message for obtaining association rules to the second electronic device, and the second electronic device receives the request message for obtaining association rules sent by the first electronic device.
  • step S103 and step S304 are identical to steps S103 and step S304.
  • Step S706 The second electronic device obtains the saved association rule and sends the association rule to the first electronic device.
  • step S305 which will not be described again here.
  • Step S707 The first electronic device receives the association rule sent by the second electronic device, and determines the target location according to the association rule.
  • step S104 For details, reference may be made to step S104 and step S204, which will not be described again here.
  • Step S708 The first electronic device returns the target bin from the picking operation station to the target location.
  • Step S709 The second electronic device periodically obtains user order information and sends the user order information in the current cycle to the third electronic device.
  • the third electronic device receives the user order information in the current cycle sent by the second electronic device.
  • step S406 For details, reference may be made to step S406, which will not be described again here.
  • Step S710 The third electronic device uses the preset association analysis algorithm to determine the target association rule based on the user order information in the current cycle.
  • step S502 which will not be described again here.
  • Step S711 The third electronic device sends the target association rule to the second electronic device, and the second electronic device receives the target association rule sent by the third electronic device.
  • Step S712 The second electronic device updates the saved association rule to the target association rule.
  • step S408 which will not be described again here.
  • the device includes:
  • the receiving unit 801 is used to receive the moving task information sent by the second electronic device.
  • the box moving task information includes the identification information of the target commodity.
  • the processing unit 802 is configured to determine the current storage location of the target bin where the target product is located based on the box moving task information, and transport the target bin from the current storage location to the picking operation platform.
  • the processing unit 802 is also configured to send a request message for obtaining association rules to the second electronic device.
  • the receiving unit 801 is also configured to receive association rules sent by the second electronic device, and determine the target location according to the association rules; the association rules are used to record association information of at least two commodities whose association degree is higher than a preset threshold.
  • the processing unit 802 is also used to return the target bin from the picking operation platform to the target location.
  • the receiving unit 801 is specifically configured to determine whether there is a first association rule in the association rules according to the identification information of the target product, where the first association rule is an association rule corresponding to the target product;
  • If there is a first association rule determine the associated products of the target product according to the first association rule; the associated products are other products associated with the target product recorded in the first association rule;
  • the receiving unit 801 is specifically configured to determine a second association rule from at least two first association rules if the number of first association rules is at least two; according to the second association rule, Determine the related products of the target product.
  • the receiving unit 801 is specifically configured to obtain the priorities of at least two first association rules
  • the first association rule with the highest priority among the at least two first association rules is determined as the second association rule.
  • the processing unit 802 is also configured to update the historical storage location of the target bin to the current storage location of the target bin.
  • the receiving unit 801 is also configured to: if it is determined that there is no first association rule, Then the historical storage location of the target bin is determined as the target location.
  • the receiving unit 801 is specifically configured to determine whether the historical storage location of the target material box is in an idle state if it is determined that there is no first association rule; if it is determined that the historical storage location of the target material box is in an idle state. , then the historical storage location of the target bin is determined as the target location.
  • the receiving unit 801 is also configured to obtain at least one free location information if it is determined that the historical storage location of the target bin is in an occupied state; and determine the target location based on the at least one free location information.
  • FIG. 9 is a schematic structural diagram of another warehouse management device provided by an embodiment of the present application.
  • the device includes:
  • Processing unit 901 is used to determine the user order information to be shipped; the user order information to be shipped includes the identification information of the target product;
  • the processing unit 901 is also configured to generate box moving task information based on user order information to be shipped; the box moving task information includes identification information of the target commodity;
  • the processing unit 901 is also used to send moving task information to the first electronic device
  • the receiving unit 902 is configured to receive a request message for obtaining association rules sent by the first electronic device
  • the processing unit 901 is also configured to obtain the saved association rules and send the association rules to the first electronic device.
  • the receiving unit 902 is also configured to receive the target association rule sent by the third electronic device;
  • the processing unit 901 is also used to update the saved association rules to the target association rules.
  • the warehouse management device also includes: an acquisition unit 903;
  • the acquisition unit is used to periodically acquire user order information and send the user order information in the current cycle to the third electronic device;
  • the user order information in the current cycle includes order information of at least one user order; each of the at least one user order
  • the order information of each user order includes identification information of at least one product.
  • the acquisition unit is specifically used to filter user order information in the current cycle according to preset order filtering rules to obtain valid user order information
  • FIG 11 is a schematic structural diagram of another warehouse management device provided by an embodiment of the present application.
  • the warehouse management device includes:
  • the receiving unit 1101 is configured to receive user order information in the current cycle sent by the second electronic device; the user order information in the current cycle includes order information of at least one user order;
  • the processing unit 1102 is configured to use a preset association analysis algorithm to determine target association rules based on user order information in the current cycle; the target association rules include identification information of at least two commodities; the target association rules are used to represent the information contained in the target association rules.
  • the correlation degree of at least two products is higher than the preset threshold;
  • the processing unit 1102 is also configured to send the target association rule to the second electronic device.
  • the receiving unit 1101 is specifically configured to receive valid user order information sent by the second electronic device;
  • the processing unit 1102 is specifically configured to determine target association rules based on valid user order information and using a preset association analysis algorithm.
  • FIG. 12 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
  • the electronic device 1200 may include: a processor 1201, a storage 1202 and communication unit 1203. These components communicate through one or more buses.
  • a processor 1201 may include: a processor 1201, a storage 1202 and communication unit 1203. These components communicate through one or more buses.
  • Those skilled in the art can understand that the structure of the server shown in the figure does not constitute a limitation on the embodiment of the present invention. It can be either a bus structure or a star structure. , may also include more or fewer components than shown, or combinations of certain components, or different component arrangements.
  • the communication unit 1203 is used to establish a communication channel so that the electronic device can communicate with other devices. Receive user data from other devices or send user data to other devices.
  • the processor 1201 is the control center of the electronic device, using various interfaces and lines to connect various parts of the entire electronic device, by running or executing software programs and/or modules stored in the memory 1202, and calling the software programs stored in the memory 1202. data to perform various functions of the electronic device and/or to process data.
  • the processor may be composed of an integrated circuit (IC), for example, it may be composed of a single packaged IC, or it may be composed of multiple packaged ICs connected with the same function or different functions.
  • the processor 1201 may only include a central processing unit (CPU).
  • the CPU may be a single computing core or may include multiple computing cores.
  • the memory 1202 is used to store execution instructions of the processor 1201.
  • the memory 1202 can be implemented by any type of volatile or non-volatile storage device or their combination, such as static random access memory (SRAM), electrically Erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk.
  • SRAM static random access memory
  • EEPROM electrically Erasable programmable read-only memory
  • EPROM erasable programmable read-only memory
  • PROM programmable read-only memory
  • ROM read-only memory
  • magnetic memory flash memory
  • flash memory magnetic disk or optical disk.
  • the electronic device 1200 is enabled to execute some or all of the steps in the embodiment shown in FIG. 2 or FIG. 4 or FIG. 5.
  • the present invention also provides a computer storage medium, wherein the computer storage medium can store a program, and when executed, the program can include some or all of the steps in each embodiment of the warehouse management method provided by the present invention.
  • the storage medium may be a magnetic disk, an optical disk, a read-only memory (ROM) or a random access memory (RAM), etc.
  • the technology in the embodiments of the present invention can be implemented by means of software plus the necessary general hardware platform.
  • the technical solutions in the embodiments of the present invention are essentially or the parts that contribute to the existing technology can be embodied in the form of software products.
  • the computer software products can be stored in storage media, such as ROM/RAM. , magnetic disk, optical disk, etc., including a number of instructions to cause a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in various embodiments or certain parts of the embodiments of the present invention.

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Abstract

本申请实施例提供的一种仓储管理方法、装置、设备及存储介质，所述方法包括：第一电子设备接收第二电子设备发送的搬箱任务信息；其中，搬箱任务信息包括目标商品的标识信息。根据搬箱任务信息，确定目标商品所在的目标料箱的当前存放位置，并将目标料箱从当前存放位置搬运至拣选操作台。向第二电子设备发送获取关联规则的请求消息。接收第二电子设备发送的关联规则，并根据关联规则确定目标位置，其中，关联规则用于记录关联度高于预设阈值的至少两种商品的关联信息。将目标料箱从拣选操作台归还至目标位置。这样一来，可以提高第一电子设备的出库效率。

Description

一种仓储管理方法、装置、设备及存储介质
本申请要求于2022年09月16日提交的名称为“一种仓储管理方法、装置、设备及存储介质”的CN202211130591.5的优先权，其全部内容通过引用结合在本申请中。
技术领域
本申请涉及智能仓储领域，具体地涉及一种仓储管理方法、装置、设备及存储介质。
背景技术
近几年，随着机器人的不断发展，机器人被逐渐应用到仓储物流行业，以借助机器人提高人工操作效率。同时，人们对自动化仓储的需求越来越多样化、对出入库的效率也越来越高，但现有的智能仓储机器人仅仅节省了在仓储物行业的各个操作环节的人工行走时间，对于其他拣货、理货以及上架等操作环节，使用智能仓储机器人的操作效率仍然比较低。
以电商物流业务为例，在仓库中，商品的摆放通常以件、盒或料箱等为单位，件、盒或料箱即为库存量单位。通常情况下，对仓库中的商品每季度进行一次统一理库的操作，例如，在理库时，分类进行货品摆放，将订购量较多的商品所在的料箱放置在距离拣货操作台较近的位置，将具有关联性的商品放置在相近位置的料箱或者货架，以便机器人能够耗费更少的时间将商品所在的料箱搬运至拣货操作台。机器人在每次完成出库之后，会优先将商品所在的料箱归还至原位置，但是，若原位置已被占用，则会随机选取一个空余位置，将料箱摆放至该位置。这会导致仓库的商品摆放混乱程度持续升高，从而使得机器人出库效率降低。例如，假设A料箱中存放的商品是订购量较多的商品，在完成商品的出库后，机器人需要归还A料箱，如果A料箱的原存放位置已经被占用，那么机器人会随机选取一个货架空余位置用于存放A料箱，假设机器人将A料箱放置在距离拣货操作台较远的位置，由于A商品的订购量较多，那么机器人会频繁耗费较长时间搬运该料箱至拣货操作台，导致出库效率低。
申请内容
有鉴于此，本申请提供一种仓储管理方法、装置、设备及存储介质，以利于解决现有技术中在统一理库之后，机器人频繁的出库还箱操作使得仓库中的商品摆放混乱程度持续升高，导致出库效率逐渐降低的问题。
第一方面，本申请实施例提供了一种仓储管理方法，包括：
第一电子设备接收第二电子设备发送的搬箱任务信息；所述搬箱任务信息包括目标商品的标识信息；
根据所述搬箱任务信息，确定所述目标商品所在的目标料箱的当前存放位置，并将所述目标料箱从当前存放位置搬运至拣选操作台；
向第二电子设备发送获取关联规则的请求消息；
接收所述第二电子设备发送的关联规则，并根据所述关联规则确定目标位置；所述关联规则用于记录关联度高于预设阈值的至少两种商品的关联信息；
将所述目标料箱从所述拣选操作台归还至所述目标位置。
优选地，所述根据所述关联规则确定目标位置包括：
根据所述目标商品的标识信息，确定所述关联规则中是否存在第一关联规则；所述第一关联规则是所述目标商品对应的关联规则；
若存在第一关联规则，则根据所述第一关联规则确定目标商品的关联商品；所述关联商品为所述第一关联规则中记录的与所述目标商品关联的其他商品；
获取所述关联商品的位置信息及至少一个空闲位置信息；
根据所述至少一个空闲位置信息及所述关联商品的位置信息，确定目标位置。
优选地，所述根据所述第一关联规则确定目标商品的关联商品包括：
若所述第一关联规则的数量为至少两个，则在至少两个所述第一关联规则中确定出第二关联规则；
根据所述第二关联规则，确定所述目标商品的关联商品。
优选地，所述在至少两个所述第一关联规则中确定出第二关联规则包括：
获取所述至少两个第一关联规则的优先级；
根据所述至少两个第一关联规则的优先级，将所述至少两个第一关联规则中优先级最高的第一关联规则确定为第二关联规则。
优选地，在将所述目标料箱从当前存放位置搬运至拣选操作台之前，还包括：
将所述目标料箱的历史存放位置更新为所述目标料箱的当前存放位置。
优选地，还包括：
若确定不存在第一关联规则，则将所述目标料箱的历史存放位置确定为目标位置。
优选地，所述若确定不存在第一关联规则，则将所述目标料箱的历史存放位置确定为目标位置包括：
若确定不存在第一关联规则，则确定所述目标料箱的历史存放位置是否处于空闲状态；
若确定所述目标料箱的历史存放位置处于空闲状态，则将所述目标料箱的历史存放位置确定为所述目标位置。
优选地，还包括：
若确定所述目标料箱的历史存放位置处于占用状态，则获取至少一个空闲位置信息；
根据所述至少一个空闲位置信息，确定目标位置。
第二方面，本申请实施例提供了一种仓储管理方法，包括：
第二电子设备确定待出货的用户订单信息；所述待出货的用户订单信息中包括目标商品的标识信息；
根据所述待出货的用户订单信息，生成搬箱任务信息；所述搬箱任务信息包括目标商品的标识信息；
向第一电子设备发送搬箱任务信息；
接收所述第一电子设备发送的获取关联规则的请求消息；
获取已保存的关联规则，并向所述第一电子设备发送所述关联规则。
优选地，还包括：
接收第三电子设备发送的目标关联规则；
将所述已保存的关联规则更新为所述目标关联规则。
优选地，还包括：
周期性获取用户订单信息，并向第三电子设备发送当前周期内的用户订单信息；所述当前周期内的用户订单信息包括至少一个用户订单的订单信息；所述至少一个用户订单中的每个用户订单的订单信息包括至少一种商品的标识信息。
优选地，所述向所述第三电子设备发送当前周期内的用户订单信息包括：
按照预设订单过滤规则，对当前周期内的用户订单信息进行过滤处理，得到有效用户订单信息；
向所述第三电子设备发送所述有效用户订单信息。
第三方面，本申请实施例提供了一种仓储管理方法，包括：
第三电子设备接收第二电子设备发送的当前周期内的用户订单信息；所述当前周期内的用户订单信息包括至少一个用户订单的订单信息；所述至少一个用户订单中的每个用户订单的订单信息包括至少一种商品的标识信息；
根据所述当前周期内的用户订单信息，利用预设关联分析算法，确定目标关联规则；所述关联规则用于记录关联度高于预设阈值的至少两种商品的关联信息；
向所述第二电子设备发送所述目标关联规则。
优选地，所述接收第二电子设备发送的当前周期内的用户订单信息包括：
接收第二电子设备发送的有效用户订单信息；
所述根据所述当前周期内的用户订单信息，利用预设关联分析算法，确定目标关联规则包括：
根据所述有效用户订单信息，利用预设关联分析算法，确定目标关联规则。
第四方面，本申请实施例提供了一种仓储管理装置，包括：
接收单元，用于接收第二电子设备发送的搬箱任务信息；所述搬箱任务信息包括目标商品的标识信息；
处理单元，用于根据所述搬箱任务信息，确定所述目标商品所在的目标料箱的当前存放位置，并将所述目标料箱从当前存放位置搬运至拣选操作台；
所述处理单元，还用于向所述第二电子设备发送获取关联规则的请求消息；
所述接收单元，还用于接收所述第二电子设备发送的关联规则，并根据所述关联规则确定目标位置；所述关联规则用于记录关联度高于预设阈值的至少两种商品的关联信息；
所述处理单元，还用于将所述目标料箱从所述拣选操作台归还至所述目标位置。
优选地，所述接收单元，具体用于根据所述目标商品的标识信息，确定所述关联规则中是否存在第一关联规则；所述第一关联规则是所述目标商品对应的关联规则；
若存在第一关联规则，则根据所述第一关联规则确定目标商品的关联商品；所述关联商品为所述第一关联规则中记录的与所述目标商品关联的其他商品；
获取所述关联商品的位置信息及至少一个空闲位置信息；
根据所述至少一个空闲位置信息及所述关联商品的位置信息，确定目标位置。
优选地，所述接收单元，具体用于若所述第一关联规则的数量为至少两个，则在至少两个所述第一关联规则中确定出第二关联规则；
根据所述第二关联规则，确定所述目标商品的关联商品。
优选地，所述接收单元，具体用于获取所述至少两个第一关联规则的优先级；
根据所述至少两个第一关联规则的优先级，将所述至少两个第一关联规则中优先级最高的第一关联规则确定为第二关联规则。
优选地，所述处理单元，还用于将所述目标料箱的历史存放位置更新为所述目标料箱的当前存放位置。
优选地，所述接收单元，还用于若确定不存在第一关联规则，则将所述目标料箱的历史存放位置确定为目标位置。
优选地，所述接收单元，具体用于若确定不存在第一关联规则，则确定所述目标料箱的历史存放位置是否处于空闲状态；
若确定所述目标料箱的历史存放位置处于空闲状态，则将所述目标料箱的历史存放位置确定为所述目标位置。
优选地，所述接收单元，还用于若确定所述目标料箱的历史存放位置处于占用状态，则获取至少一个空闲位置信息；
根据所述至少一个空闲位置信息，确定目标位置。
第五方面，本申请实施例提供了一种仓储管理装置，包括：
处理单元，用于确定待出货的用户订单信息；所述待出货的用户订单信息中包括目标商品的标识信息；
所述处理单元，还用于根据所述待出货的用户订单信息，生成搬箱任务信息；所述搬箱任务信息包括目标商品的标识信息；
所述处理单元，还用于向第一电子设备发送搬箱任务信息；
接收单元，用于接收所述第一电子设备发送的获取关联规则的请求消息；
所述处理单元，还用于获取已保存的关联规则，并向所述第一电子设备发送所述关联规则。
优选地，所述接收单元，还用于接收第三电子设备发送的目标关联规则；
所述处理单元，还用于将所述已保存的关联规则更新为所述目标关联规则。
优选地，所述仓储管理装置还包括：获取单元；
所述获取单元，用于周期性获取用户订单信息，并向第三电子设备发送当前周期内的用户订单信息；所述当前周期内的用户订单信息包括至少一个用户订单的订单信息；所述至少一个用户订单中的每个用户订单的订单信息包括至少一种商品的标识信息。
优选地，所述获取单元，具体用于按照预设订单过滤规则，对当前周期内的用户订单信息进行过滤处理，得到有效用户订单信息；
向所述第三电子设备发送所述有效用户订单信息。
第六方面，本申请实施例提供了一种仓储管理装置，包括：
接收单元，用于接收第二电子设备发送的当前周期内的用户订单信息；所述当前周期内的用户订单信息包括至少一个用户订单的订单信息；
处理单元，用于根据所述当前周期内的用户订单信息，利用预设关联分析算法，确定目标关联规则；所述目标关联规则包括至少两种商品的标识信息；所述目标关联规则用于表征目标关联规则中包含的至少两种商品的关联度高于预设阈值；
所述处理单元，还用于向所述第二电子设备发送所述目标关联规则。
优选地，所述接收单元，具体用于接收第二电子设备发送的有效用户订单信息；
所述处理单元，具体用于根据所述有效用户订单信息，利用预设关联分析算法，确定目标关联规则。
第七方面，本申请实施例提供了一种电子设备，包括：处理器和存储器，所述存储器存储有计算机程序，当所述计算机程序被执行时，使得所述电子设备执行上述第一方面任一项或上述第二方面任一项或上述第三方面任一项所述的方法。
第八方面，本申请实施例提供了一种存储介质，所述存储介质包括存储的程序， 其中，在所述程序运行时控制所述存储介质所在设备执行上述第一方面任一项或上述第二方面任一项或上述第三方面任一项所述的方法。
采用本申请实施例所提供的方案，所述方法包括：第一电子设备接收第二电子设备发送的搬箱任务信息，其中，搬箱任务信息包括目标商品的标识信息。根据搬箱任务信息，确定目标商品所在的目标料箱的当前存放位置，并将目标料箱从当前存放位置搬运至拣选操作台。向第二电子设备发送获取关联规则的请求消息。接收第二电子设备发送的关联规则，并根据关联规则确定目标位置，其中，关联规则用于记录关联度高于预设阈值的至少两种商品的关联信息。将目标料箱从拣选操作台归还至目标位置。也就是说，在第一电子设备接收到第二电子设备发送的搬箱任务信息时，可以确定需要执行搬箱任务，根据接收到的搬箱任务信息，获取搬箱任务信息中包含的目标商品的标识信息。根据搬箱任务信息中包含的目标商品的标识信息，确定目标商品所在的目标料箱的当前存放位置，例如，第一电子设备可以记录多种商品所在的料箱及其在仓库货架的存放位置的对应关系，那么在获取到目标商品的标识信息之后，可以根据目标商品的标识信息，在已记录的多种商品所在的料箱及其存放位置的对应关系中，确定出目标商品所在的目标料箱，以及目标料箱的当前存放位置。在确定出目标料箱的当前存放位置之后，第一电子设备可以将目标料箱从当前存放位置搬运至拣选操作台，以使得出货员能够从目标料箱中拣选出目标商品以完成出货。然后，第一电子设备需要将目标料箱从拣选操作台归还至仓库的货架上，此时，第一电子设备可以向第二电子设备发送获取关联规则请求消息，以使得第二电子设备在接收到获取关联规则请求消息之后，向第一电子设备发送关联规则。第一电子设备接收第二电子设备发送的关联规则，根据接收的关联规则确定目标位置，并将目标料箱从拣选操作台归还至目标位置。也就是说，在对仓库中的商品进行统一理库之后，商品的摆放具一定的规则性，例如购买频次较高的商品摆放在距离拣选操作台较近的位置，用户会同时购买的商品摆放在相近的位置，在本申请实施例中，第一电子设备在需要归还目标料箱时，可以通过第二电子设备获取关联规则，根据关联规则确定归还目标料箱的目标位置，而不是直接将原存放位置确定为目标位置或者随机选取一个空闲位置作为目标位置，从而在出库的还箱过程中便能够实现理库，使得在统一理库之后，仓库中的商品不会由于频繁出库还箱操作而摆放的过于混乱，以提高第一电子设备的出库效率。
附图说明
为了更清楚地说明本申请实施例的技术方案，下面将对实施例中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本申请的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动性的前提下，还可以根据这些附图获得其它的附图。
图1为本申请实施例提供的一种仓储管理方法的流程示意图；
图2为本申请实施例提供的另一种仓储管理方法的流程示意图；
图3为本申请实施例提供的另一种仓储管理方法的流程示意图；
图4为本申请实施例提供的另一种仓储管理方法的流程示意图；
图5为本申请实施例提供的另一种仓储管理方法的流程示意图；
图6为本申请实施例提供的一种仓储管理方法的应用场景示意图；
图7为本申请实施例提供的另一种仓储管理方法的流程示意图；
图8为本申请实施例提供的一种仓储管理装置的结构示意图；
图9为本申请实施例提供的另一种仓储管理装置的结构示意图；
图10为本申请实施例提供的另一种仓储管理装置的结构示意图；
图11为本申请实施例提供的另一种仓储管理装置的结构示意图；
图12为本申请实施例提供的一种电子设备的结构示意图。
具体实施方式
为了更好的理解本申请的技术方案，下面结合附图对本申请实施例进行详细描述。
应当明确，所描述的实施例仅仅是本申请一部分实施例，而不是全部的实施例。基于本申请中的实施例，本领域普通技术人员在没有作出创造性劳动前提下所获得的所有其它实施例，都属于本申请保护的范围。
在本申请实施例中使用的术语是仅仅出于描述特定实施例的目的，而非旨在限制本申请。在本申请实施例和所附权利要求书中所使用的单数形式的“一种”、“所述”和“该”也旨在包括多数形式，除非上下文清楚地表示其他含义。
应当理解，本文中使用的术语“和/或”仅仅是一种描述关联对象的关联关系，表示可以存在三种关系，例如，甲和/或乙，可以表示：单独存在甲，同时存在甲和乙，单独存在乙这三种情况。另外，本文中字符“/”，一般表示前后关联对象是一种“或”的关系。
在对本申请实施例进行具体介绍之前，首先对本申请实施例应用或可能应用的术语进行解释。
仓库管理系统(Warehouse Management System，WMS)：仓库管理系统是通过入库业务、出库业务、仓库调拨、库存调拨和虚仓管理等功能，对批次管理、物料对应、库存盘点、质检管理、虚仓管理和即时库存管理等功能综合运用的管理系统，有效控制并跟踪仓库业务的物流和成本管理全过程，实现或完善企业的仓储信息管理。该系统可以独立执行库存操作，也可与其他系统的单据和凭证等结合使用，可为企业提供更为完整企业物流管理流程和财务管理信息。
关联规则(Apriori)算法：是第一个关联规则挖掘算法，也是最经典的算法。它利用逐层搜索的迭代方法找出数据库中项集的关系，以形成规则，其过程由连接(类矩阵运算)与剪枝(去掉那些没必要的中间结果)组成。该算法中项集的概念即为项的集合。包含K个项的集合为k项集。项集出现的频率是包含项集的事务数，称为项集的频率。如果某项集满足最小支持度，则称它为频繁项集。
频繁模式增长(Frequent Pattern-Growth，FP-Growth)算法：是一种高效发现频繁集的方法。采取如下分治策略：将提供频繁项集的数据库压缩到一棵频繁模式树(FP-tree)，但仍保留项集关联信息。在算法中使用了一种称为频繁模式树(Frequent Pattern Tree)的数据结构。FP-tree是一种特殊的前缀树，由频繁项头表和项前缀树构成。FP-Growth算法基于以上的结构加快整个挖掘过程。
云计算平台也称为云平台：指基于硬件资源和软件资源的服务，提供计算、网络 和存储能力。云计算平台可以划分为3类：以数据存储为主的存储型云平台，以数据处理为主的计算型云平台以及计算和数据存储处理兼顾的综合云计算平台。
SKU(Stock Keeping Unit，库存量单位)：即库存进出计量的基本单元，可以是以件，盒，托盘等为单位。SKU这是对于大型连锁超市DC(配送中心)物流管理的一个必要的方法。现在已经被引申为产品统一编号的简称，每种产品均对应有唯一的SKU号。单品：对一种商品而言，当其品牌、型号、配置、等级、花色、包装容量、单位、生产日期、保质期、用途、价格、产地等属性中任一属性与其他商品存在不同时，可称为一个单品。
出货量(Entry Quantity，EQ)分析、品项数量(Item Quantity，IQ)分析：通过对订单进行EQ分析可以使得仓库管理者了解订单订货量分布，可决定订单处理原则，分拣系统规划，并影响出货方式及出货区规划，通过对订单进行IQ分析可以使得仓库管理者了解每个品项的收订数量，对订单处理原则及分拣系统的规划有很大影响，并将影响出货方式及出货区规划。
近几年，随着机器人的不断发展，机器人被逐渐应用到仓储物流行业，以借助机器人提高人工操作效率。同时，人们对自动化仓储的需求越来越多样化、对出入库的效率也越来越高，但现有的智能仓储机器人仅仅节省了在仓储物行业的各个操作环节的人工行走时间，对于其他拣货、理货以及上架等操作环节，使用智能仓储机器人的操作效率仍然比较低。
相关技术中，以电商物流业务为例，在仓库中，商品的摆放通常以件、盒或料箱等为单位，件、盒或料箱即为库存量单位。通常情况下，对仓库中的商品每季度进行一次理库操作，例如，在理库时，分类进行货品摆放，将订购量较多的商品所在的料箱放置在距离拣货台较近的位置，将具有关联性的商品放置在相近位置的料箱或者货架，以便机器人能够耗费更少的时间将商品所在的料箱搬运至拣货操作台。机器人在每次完成出库之后，会优先将商品所在的料箱归还至原位置，但是，若原位置已被占用，则会随机选取一个空余位置，将料箱摆放至该位置。这会导致仓库的商品摆放混乱程度持续升高，从而使得机器人出库效率降低。例如，假设A料箱中存放的商品是订购量较多的商品，在完成商品的出库后，机器人需要归还A料箱，如果A料箱的原存放位置已经被占用，那么机器人会随机选取一个货架空余位置用于存放A料箱，假设机器人将A料箱放置在距离拣货操作台较远的位置，由于A商品的订购量较多，那么机器人会频繁耗费较长时间搬运该料箱至拣货操作台，导致出库效率低。
为解决上述问题，本申请提供了一种仓储管理方法、装置、设备及存储介质。所述仓储管理方法包括：第一电子设备接收第二电子设备发送的搬箱任务信息，其中，搬箱任务信息包括目标商品的标识信息。根据搬箱任务信息，确定目标商品所在的目标料箱的当前存放位置，并将目标料箱从当前存放位置搬运至拣选操作台。向第二电子设备发送获取关联规则的请求消息。接收第二电子设备发送的关联规则，并根据关联规则确定目标位置，其中，关联规则用于记录关联度高于预设阈值的至少两种商品的关联信息。将目标料箱从拣选操作台归还至目标位置。也就是说，在第一电子设备接收到第二电子设备发送的搬箱任务信息时，可以确定需要执行搬箱任务，根据接收到的搬箱任务信息，获取搬箱任务信息中包含的目标商品的标识信息。根据搬箱任务 信息中包含的目标商品的标识信息，确定目标商品所在的目标料箱的当前存放位置，例如，第一电子设备可以记录多种商品所在的料箱及其在仓库货架的存放位置的对应关系，那么在获取到目标商品的标识信息之后，可以根据目标商品的标识信息，在已记录的多种商品所在的料箱及其存放位置的对应关系中，确定出目标商品所在的目标料箱，以及目标料箱的当前存放位置。在确定出目标料箱的当前存放位置之后，第一电子设备可以将目标料箱从当前存放位置搬运至拣选操作台，以使得出货员能够从目标料箱中拣选出目标商品以完成出货。然后，第一电子设备需要将目标料箱从拣选操作台归还至仓库的货架上，此时，第一电子设备可以向第二电子设备发送获取关联规则请求消息，以使得第二电子设备在接收到获取关联规则请求消息之后，向第一电子设备发送关联规则。第一电子设备接收第二电子设备发送的关联规则，根据接收的关联规则确定目标位置，并将目标料箱从拣选操作台归还至目标位置。也就是说，在对仓库中的商品进行统一理库之后，商品的摆放具一定的规则性，例如购买频次较高的商品摆放在距离拣选操作台较近的位置，用户会同时购买的商品摆放在相近的位置，在本申请实施例中，第一电子设备在需要归还目标料箱时，可以通过第二电子设备获取关联规则，根据关联规则确定归还目标料箱的目标位置，而不是直接将原存放位置确定为目标位置或者随机选取一个空闲位置作为目标位置，从而在出库的还箱过程中便能够实现理库，使得在统一理库之后，仓库中的商品不会由于频繁出库还箱操作而摆放的过于混乱，以提高第一电子设备的出库效率。以下进行详细说明。
图1为本申请实施例提供的一种仓储管理方法的流程示意图。如图1所示，所述方法包括如下步骤：
步骤S101、第一电子设备接收第二电子设备发送的搬箱任务信息。
其中，搬箱任务信息包括目标商品的标识信息。
具体的，第二电子设备中存储有待出库的用户订单信息，其中，用户订单信息中至少包括用户订购的商品的标识信息。第二电子设备可以根据待出库的用户订单信息生成搬箱任务信息，并向第一电子设备发送搬箱任务信息，第一电子设备接收第二电子设备发送的搬箱任务信息，可以获知需要根据搬箱任务信息执行商品出库的操作。
需要说明的是，第一电子设备可以是仓储搬运机器人，还可以是其他可以搬运商品的设备，本申请对此不作限制。
步骤S102、根据搬箱任务信息，确定目标商品所在的目标料箱的当前存放位置，并将目标料箱从当前存放位置搬运至拣选操作台。
具体的，第一电子设备根据搬箱任务信息可以获取需要搬运的目标商品的标识信息，根据目标商品的标识信息，可以获取目标商品所在的目标料箱的当前存放位置。例如，假设仓库中所有商品的位置信息存储在第二电子设备中，第二电子设备在确定搬箱任务信息时，在搬箱任务信息中添加目标商品的标识信息的同时，可以将目标商品所在目标料箱的当前存放位置添加至搬箱任务信息中，那么第一电子设备可以根据搬箱任务信息，获取到目标商品所在目标料箱的当前存放位置。还可以是，第一电子设备在确定出目标商品的标识信息之后，可以向第二电子设备发送获取目标商品的位置信息的请求消息，其中，请求消息中携带有目标商品的标识信息。第二电子设备在接收到获取目标商品的位置信息的请求消息之后，可以根据请求消息中携带的目标商 品的标识信息，确定目标商品所在的目标料箱及其当前存放位置信息，然后向第一电子设备发送目标商品所在的目标料箱的当前存放位置信息，第一电子设备接收目标商品所在的目标料箱的当前存放位置信息。在确定出目标商品所在的目标料箱的当前存放位置之后，第一电子设备可以将目标料箱从当前存放位置搬运至拣选操作台。
步骤S103、向第二电子设备发送获取关联规则的请求消息。
具体的，通常情况下，每隔预设时间段会对仓库中的商品进行统一理库，在理库时，为提高第一电子设备的出库效率，通常会将订购量较多的商品所在的料箱放置在距离拣选操作台较近的位置，将具有关联性的商品放置在相近位置。但是，若第一电子设备在每次完成出库之后，若直接将商品所在的料箱归还至任一空闲位置，会导致仓库的商品摆放越来越混乱，使得第一电子设备的出库效率越来越低。因此，为避免这种情况，在本申请实施例中，第一电子设备在完成出库之后，可以先向第二电子设备发送获取关联规则的请求消息，以使得第二电子设备在接收到请求消息之后，向第一电子设备发送其保存的关联规则。
步骤S104、接收第二电子设备发送的关联规则，并根据关联规则确定目标位置。
其中，关联规则用于记录关联度高于预设阈值的至少两种商品的关联信息。
具体的，第二电子设备接收到请求消息之后，向第一电子设备发送其保存的关联规则，第一电子设备接收第二电子设备发送的关联规则，若关联规则中记录的关联度高于预设阈值的至少两种商品的关联信息中包含有目标商品与其他商品的关联信息，那么可以在接收的关联规则中确定出目标商品对应的关联规则，并根据目标商品对应的关联规则，确定出目标商品的关联商品，并根据关联商品的位置确定目标位置。例如，可以在仓库的空闲位置中选取一个与目标商品的关联商品间的距离最短的空闲位置作为目标位置，还可以综合考虑空闲位置与拣选操作台的距离、空闲位置与关联商品的距离，在所有空闲位置中选取空闲位置与拣选操作台、空闲位置与关联商品的综合距离最短的空闲位置作为目标位置，具体如下。
作为一种可能的实现方式，所述根据关联规则确定目标位置包括：
根据目标商品的标识信息，确定关联规则中是否存在第一关联规则；第一关联规则是目标商品对应的关联规则；
若存在第一关联规则，则根据第一关联规则确定目标商品的关联商品；关联商品为第一关联规则中记录的与目标商品关联的其他商品；
获取关联商品的位置信息及至少一个空闲位置信息；
根据至少一个空闲位置信息及关联商品的位置信息，确定目标位置。
具体的，第一电子设备在获取到关联规则之后，需要先确定关联规则中是否存在目标商品对应的关联规则。此时，第一电子设备根据目标商品的标识信息，确定关联规则中是否存在目标商品对应的关联规则，即第一关联规则。由于关联规则中记录有关联度高于预设阈值的至少两种商品的关联信息，因此，若存在第一关联规则，说明目标商品属于订购量较高的商品，并且与其他商品具有较高的关联度，因此，第一电子设备可以根据第一关联规则中记录的与目标商品关联的其他商品，确定出目标商品的关联商品。然后获取目标商品的关联商品的位置信息及至少一个空闲位置信息，例如，第一电子设备可以记录所有商品的位置信息及仓库中的空闲位置信息，那么第一 电子设备可以根据目标商品的关联商品，在已保存的所有商品的位置信息中，获取目标商品的关联商品的位置信息，并且获取记录的至少一个空闲位置信息。还可以是，在其他电子设备中记录有所有商品的位置信息及仓库中至少一个空闲位置信息，例如，其他电子设备可以是第二电子设备，或者其他存储设备，本申请对此不作限制。为方便叙述，以第二电子设备为例，在需要获取目标商品的关联商品的位置信息及至少一个空闲位置信息时，第一电子设备可以向第二电子设备发送获取第一位置信息的请求消息及获取空闲位置信息的请求消息，其中，获取第一位置信息的请求消息中携带有目标商品的关联商品的标识信息，从而使得第二电子设备在接收到获取第一位置信息的请求消息时，能够根据该请求消息向第一电子设备发送目标商品的关联商品的位置信息，在接收到获取空闲位置信息的请求消息时，确定出至少一个空闲位置信息，并向第一电子设备发送至少一个空闲位置信息。当然，第一电子设备还可以通过其他方式获取关联商品的位置信息及至少一个空闲位置信息，本申请对此不作限制。在获取到关联商品的位置信息及至少一个空闲位置信息之后，可以根据关联商品的位置信息及至少一个空闲位置信息，确定目标位置，此时，针对每个空闲位置，第一电子设备可以确定该空闲位置与拣选操作台间的距离、该空闲位置与关联商品的位置间的距离，计算该空闲位置与拣选操作台间的距离、该空闲位置与关联商品的位置间的距离之和。然后在至少一个空闲位置中，将对应的距离之和最小的空闲位置确定为目标位置。这样一来，当关联规则中存在第一关联规则时，说明目标商品为订购量较高的商品，并且存在目标商品的关联商品，此时，第一电子设备在归还目标商品所在的目标料箱时，可以在所有空闲位置中确定出与拣选操作台及目标商品的关联商品的距离之和最小的空闲位置作为目标位置，以能够将订购频次较高的目标商品存放至与拣选操作台及其关联商品相对更近的位置上，从而提高后续第一电子设备的出库效率。
作为一种可能的实现方式，所述根据第一关联规则确定目标商品的关联商品包括：
若第一关联规则的数量为至少两个，则在至少两个所述第一关联规则中确定出第二关联规则；
根据第二关联规则，确定目标商品的关联商品。
具体的，在第一关联规则的数量为至少两个时，在至少两个第一关联规则中确定出第二关联规则，例如，可以在至少两个第一关联规则中，随机选取一个第一关联规则作为第二关联规则；还可以是，由于每个关联规则都记录了关联度高于预设阈值的至少两种商品的关联信息，因此可以根据至少两个第一关联规则中的每个第一关联规则对应的关联度，将对应的关联度最高的第一关联规则确定为第二关联规则，当然，还可以通过其他方式在至少两个第一关联规则中确定出第二关联规则。然后，第一电子设备可以根据确定出的第二关联规则，确定第二关联规则中记录的目标商品的关联商品。例如，假设目标商品为A商品，获取到的关联规则中包括关联规则1，关联规则2，关联规则3，关联规则1及关联规则2为A商品对应的关联规则，即第一关联规则。关联规则1中包括A商品、B商品、C商品，关联度为80％，关联规则2中包括A商品、D商品、E商品，关联度为85％，因此由于关联规则2对应的关联度更高，因此将关联规则2确定为第二关联规则，关联规则2中的D商品及E商品即为A商品的关联商品。
进一步地，所述在至少两个第一关联规则中确定出第二关联规则包括：
获取至少两个第一关联规则的优先级；
根据至少两个第一关联规则的优先级，将至少两个第一关联规则中优先级最高的第一关联规则确定为第二关联规则。
在本申请实施例中，第一电子设备在确定出至少两个第一关联规则之后，可以为至少两个关联规则确定优先级，例如，可以根据每个关联规则中记录的商品的数量确定优先级，或者，由于每个第一关联规则都记录有关联度高于预设阈值的至少两种商品的关联信息，因此，可以根据至少两个第一关联规则中每个第一关联规则对应的关联度确定优先级，按照关联度由高到低的顺序，确定至少两个第一关联规则中每个第一关联规则的优先级，其中，第一关联规则的关联度越高，其对应的优先级越高。当然，还可以根据其他方式确定至少两个第一关联规则的优先级，本申请对此不作限制。然后，根据至少两个第一关联规则的优先级，将至少两个第一关联规则中优先级最高的第一关联规则确定为第二关联规则。
步骤S105、将目标料箱从拣选操作台归还至目标位置。
具体的，在确定出目标位置之后，第一电子设备可以将目标料箱从拣选操作台归还至目标位置。
示例性的，假设第一电子设备接收到第二电子设备发送的搬箱任务信息，搬箱任务信息包括目标商品的标识信息：A商品。假设所有商品的位置信息存储在第二电子设备中，那么，第一电子设备根据搬箱任务信息中目标商品的标识信息，向第二电子设备发送获取目标商品位置的请求消息，第二电子设备向第一电子设备返回目标商品所在目标料箱的当前存放位置，并将目标料箱从当前存放位置搬运至拣选操作台。然后，在相关人员对目标料箱中的商品拣选完成之后，第一电子设备可以向第二电子设备发送获取关联规则的请求消息，第二电子设备在接收到获取关联规则的请求消息之后，向第一电子设备发送其保存的关联规则，假设关联度的预设阈值为75％，关联规则包括：关联规则1，关联规则2，关联规则3，其中，关联规则1中包括A商品、B商品、C商品，关联度为80％；关联规则2中包括A商品、D商品，关联度为85％；关联规则3中包括E商品、F商品，关联度为82％。然后根据目标商品的标识信息(A商品)，在关联规则1、关联规则2及关联规则3中，确定出A商品对应的关联规则为关联规则1、关联规则2，即确定存在两个第一关联规则。然后由于关联规则1对应的关联度为80％，关联规则2对应的关联度为85％，因此确定关联规则2的优先级高于关联规则1的优先级，将优先级最高的关联规则2确定为第二关联规则，根据关联规则2确定出目标商品(A商品)的关联商品为D商品。然后，第一电子设备可以向第二电子设备发送获取第一位置信息的请求消息，该请求消息中携带有D商品，第二电子设备接收获取第一位置信息的请求消息，然后确定出D商品的位置信息，并将其发送至第一电子设备。同时，第一电子设备可以向第二电子设备发送获取空闲位置信息的请求消息，第二电子设备接收获取空闲位置信息的请求消息之后，确定仓库中的至少一个空闲位置信息，并向第一电子设备发送至少一个空闲位置信息。第一电子设备在接收到D商品的位置信息，以及至少一个空闲位置信息之后，针对每个空闲位置信息，确定该空闲位置与D商品所在位置间的距离及该空闲位置与拣选操作台间的 距离，并根据该空闲位置与D商品所在位置间的距离及该空闲位置与拣选操作台间的距离，计算总距离L。在确定出至少一个空闲位置对应的中距离L之后，可以将对应的总距离L最小的空闲位置确定为目标位置，然后将目标料箱由拣选操作台归还至目标位置。
图2为本申请实施例提供的另一种仓储管理方法的流程示意图。在本申请实施例中，考虑了关联规则中不存在目标商品对应的关联规则(第一关联规则)的情况，具体如下。
步骤S201、第一电子设备接收第二电子设备发送的搬箱任务信息。
其中，搬箱任务信息包括目标商品的标识信息。
具体可参考步骤S101，在此不再赘述。
步骤S202、根据搬箱任务信息，确定目标商品所在的目标料箱的当前存放位置，将目标料箱的历史存放位置更新为目标料箱的当前存放位置，并将目标料箱从当前存放位置搬运至拣选操作台。
具体的，第一电子设备可以记录目标料箱在仓库中的原存放位置，即历史存放位置。因此，在将目标料箱从当前存放位置搬运至拣选操作台之前，第一电子设备可以将目标料箱的历史存放位置更新为目标料箱的当前存放位置。
具体可参考步骤S102，在此不再赘述。
步骤S203、向第二电子设备发送获取关联规则的请求消息。
具体可参考步骤S103，在此不再赘述。
步骤S204、接收第二电子设备发送的关联规则，并根据关联规则确定目标位置。
具体可参考步骤S104，在此不再赘述。
作为一种可能的实现方式，还包括：
若确定不存在第一关联规则，则将目标料箱的历史存放位置确定为目标位置。
具体的，若确定不存在关联规则，则说明没有与目标商品的关联度高于预设阈值的商品，此时可以将目标料箱的历史存放位置确定为目标位置。
进一步地，所述若确定不存在第一关联规则，则将目标料箱的历史存放位置确定为目标位置包括：
若确定不存在第一关联规则，则确定目标料箱的历史存放位置是否处于空闲状态。
若确定目标料箱的历史存放位置处于空闲状态，则将目标料箱的历史存放位置确定为目标位置。
或者，若确定目标料箱的历史存放位置处于占用状态，则获取至少一个空闲位置信息。
根据至少一个空闲位置信息，确定目标位置。
具体的，由于在将目标料箱搬运至拣选操作台之后，目标料箱的原存放位置即为空闲状态，可能存在被其它料箱占用的情况，因此，在将目标料箱的历史存放位置确定为目标位置之前，需要先确认历史存放位置是否处于空闲状态，假设第二电子设备中记录了仓库中的存放位置处于空闲状态或者处于占用状态，此时第一电子设备可以向第二电子设备发送获取历史存放位置的状态信息的请求消息，该请求消息中携带有历史存放位置的标识信息，以使得第二电子设备接收到该请求消息时向其返回历史存 放位置的状态信息。第一电子设备接收第二电子设备返回的历史存放位置的状态信息，若确定目标料箱的历史存放位置处于空闲状态，则将目标料箱的历史存放位置确定为目标位置。或者，若确定目标料箱的历史存放位置处于占用状态，则获取至少一个空闲位置信息，此时，第一电子设备可以向第二电子设备发送获取空闲位置信息的请求消息，以使得第二电子设备在接收到获取空闲位置的请求消息时，确定出至少一个处于空闲状态的存放位置的位置信息，并向第一电子设备发送至少一个空闲位置信息。然后，第一电子设备可以根据至少一个空闲位置信息，确定目标位置。例如，可以在至少一个空闲位置信息中随机选取一个空闲位置作为目标位置，还可以在至少一个空闲位置信息中选取一个距离历史存放位置最近的空闲位置作为目标位置，还可以在至少一个空闲位置信息中选取一个距离拣选操作台最近的空闲位置作为目标位置，当然，还可以使用其他方式确定目标位置，本申请对此不作限制。
步骤S205、将目标料箱从拣选操作台归还至目标位置。
具体可参考步骤S105，在此不再赘述。
这样一来，在第一电子设备执行出库操作归还目标商品所在的目标料箱时，可以获取目标商品对应的关联规则，若存在目标商品对应的关联规则，则说明目标商品为高频订购的商品，并且存在与目标商品的关联度高于预设阈值的商品，即目标商品的关联商品。此时，第一电子设备可以获取至少一个空闲位置，并在至少一个空闲位置中确定出与目标商品的关联商品及拣选操作台的距离相对较近的空闲位置作为目标位置，这样一来，后续再对目标商品进行出货时，目标商品与拣选操作台距离较近，并且与其关联商品的距离也较近，可以提高第一电子设备的出库效率。并且，由于第一电子设备在出货还箱的过程中，基于关联规则进行了理货，使得商品的摆放不会过于混乱，在一定程度上减轻了系统理货的压力，提高了系统理货的效率。
图3为本申请实施例提供的另一种仓储管理方法的流程示意图。应用于第二电子设备，所述方法包括：
步骤S301、第二电子设备确定待出货的用户订单信息。
其中，待出货的用户订单信息中包括目标商品的标识信息。
具体的，在用户通过所使用的移动终端选择了需要购买的商品并提交了订单信息时，移动终端会将用户的订单信息发送至第二电子设备。例如，第二电子设备可以是设置有仓库管理系统(Warehouse Management System，WMS)的电子设备。用户订单信息至少包括目标商品的标识信息、提交订单的时间、订单号信息等。第二电子设备接收用户订单信息，并确定需要根据用户订单信息进行出库。由于第二电子设备会接收到用户提交的多个用户订单信息，因此第二电子设备可以根据多个用户订单信息中的提交订单的时间，按照时间先后顺序，将多个用户订单中提交订单的时间最早的用户订单信息确定为待出货的用户订单信息。
步骤S302、根据待出货的用户订单信息，生成搬箱任务信息。
其中，搬箱任务信息包括目标商品的标识信息。
具体的，在确定出待出货的用户订单信息之后，根据待出货的用户订单信息中的目标商品的标识信息，生成搬箱任务信息，其中，搬箱任务信息包括目标商品的标识信息。
步骤S303、向第一电子设备发送搬箱任务信息。
具体的，第二电子设备在确定出搬箱任务信息之后，可以向第一电子设备发送搬箱任务信息，以使得第一电子设备在接收到搬箱任务信息之后，对目标商品执行出库操作。
步骤S304、接收第一电子设备发送的获取关联规则的请求消息。
具体的，第一电子设备在执行完出库操作，需要将目标商品所在的目标料箱由拣选操作台归还到仓库中时，需要先确定目标位置，此时，第一电子设备会向第二电子设备发送获取关联规则的请求消息，以获取关联规则。第二电子设备接收第一电子设备发送的获取关联规则的请求消息。
步骤S305、获取已保存的关联规则，并向第一电子设备发送关联规则。
具体的，第二电子设备在接收到第一电子设备发送的获取关联规则的请求消息之后，可以获取已保存的关联规则，并向第一电子设备发送关联规则。
图4为本申请实施例提供的另一种仓储管理方法的流程示意图。所述方法具体如下。
步骤S401、第二电子设备确定待出货的用户订单信息。
其中，待出货的用户订单信息中包括目标商品的标识信息。
具体可参考步骤S301，在此不再赘述。
步骤S402、根据待出货的用户订单信息，生成搬箱任务信息。
其中，搬箱任务信息包括目标商品的标识信息。
具体可参考步骤S302，在此不再赘述。
步骤S403、向第一电子设备发送搬箱任务信息；
具体可参考步骤S303，在此不再赘述。
步骤S404、接收第一电子设备发送的获取关联规则的请求消息。
具体可参考步骤S304，在此不再赘述。
步骤S405、获取已保存的关联规则，并向第一电子设备发送关联规则。
具体可参考步骤S305，在此不再赘述。
步骤S406、周期性获取用户订单信息，并向第三电子设备发送当前周期内的用户订单信息。
其中，当前周期内的用户订单信息包括至少一个用户订单的订单信息；至少一个用户订单中的每个用户订单的订单信息包括至少一种商品的标识信息。
具体的，第二电子设备中记录有所有用户订单的订单信息，每个用户订单的订单信息包括用户购买的至少一种商品的标识信息。第二电子设备可以周期性获取其记录的用户订单信息，并向第三电子设备发送当前周期内的用户订单信息，以使得第三电子设备可以根据当前周期内的用户订单信息生成关联规则，这样一来可以保证关联规则根据当前用户的订单信息进行更新。其中，当前周期内的用户订单信息包括至少一个用户订单的订单信息，至少一个用户订单中的每个用户订单的订单信息包括至少一种商品的标识信息。
进一步地，所述向第三电子设备发送当前周期内的用户订单信息包括：
按照预设订单过滤规则，对当前周期内的用户订单信息进行过滤处理，得到有效 用户订单信息；
向第三电子设备发送有效用户订单信息。
具体的，由于当前周期内的用户订单信息中可能存在购买的商品数量过少、过多或者订单信息缺失等情况，因此，第二电子设备可以先按照预设订单过滤规则，对当前周期内的用户订单信息进行过滤处理，例如，预设订单过滤规则可以是过滤掉商品种类低于两种或商品种类高于二十种的订单信息，当然，还可以根据实际需求预先设置订单过滤规则，本申请对此不作限制。在对当前周期内的用户订单信息进行过滤处理之后，得到有效用户订单信息，然后向第三电子设备发送有效用户订单信息。
作为一种可能的实现方式，在向第三电子设备发送当前周期的用户订单信息之前，第二电子设备可以对当前周期的用户订单信息进行基础的数据描述性统计分析和EIQ分析，得到订单基础数据信息，例如库存量单位(Stock Keeping Unit，SKU)品种数、总订单数，以及出货量(Entry Quantity，EQ)分析、品项数量(Item Quantity，IQ)分析等，然后将分析结果显示给仓库管理者，以便仓库管理者获知当前的仓库存储情况及出货情况。
步骤S407、接收第三电子设备发送的目标关联规则。
具体的，由于第二电子设备会向第三电子设备周期性发送的用户订单信息，因此针对每个周期内的用户订单信息，第三电子设备可以根据该周期内的用户订单信息生成目标关联规则，并向第二电子设备发送目标关联规则，第二电子设备接收第三电子设备发送的目标关联规则。
步骤S408、将已保存的关联规则更新为目标关联规则。
具体的，在接收到第三电子设备发送的目标关联规则之后，第二电子设备可以获知关联规则已经更新，此时第二电子设备可以将已保存的关联规则更新为目标关联规则。
这样一来，由于用户的购买偏好可能会随着时间发生改变，从而导致购买频次较高的商品，以及具有关联性的商品也会发生相应的改变，因此在本申请实施例中，第二电子设备可以周期性的向第三电子设备发送用户订单信息，以使得第三电子设备根据最新的用户订单信息生成目标关联规则，并向第二电子设备返回目标关联规则，那么第二电子设备中保存有最新的关联规则。在第一电子设备需要获取关联规则时，第二电子设备可以将已保存的最新的关联规则发送至第一电子设备，以供第一电子设备根据关联规则执行还箱操作。
需要说明的是，上述步骤S401至步骤S405为第二电子设备向第一电子设备发送搬箱任务信息及关联规则的具体操作流程，上述步骤S406至步骤S408为第二电子设备向第三电子设备周期性发送用户订单信息，并保存更新第三电子设备返回的关联规则的具体操作流程。第二电子设备可以先执行步骤S401至步骤S405，再执行步骤S406至步骤S408，也可以先执行步骤S406至步骤S408，再执行步骤S401至步骤S405，还可以同时执行步骤S401至步骤S405，步骤S406至步骤S408，本申请对此不作限制。
图5为本申请实施例提供的另一种仓储管理方法的流程示意图。应用于第三电子设备，所述方法具体如下。
步骤S501、第三电子设备接收第二电子设备发送的当前周期内的用户订单信息。
其中，当前周期内的用户订单信息包括至少一个用户订单的订单信息；至少一个用户订单中的每个用户订单的订单信息包括至少一种商品的标识信息。
具体的，第二电子设备在获取到当前周期内的用户订单信息之后，会向第三电子设备发送当前周期内的用户订单信息，第三电子设备接收第二电子设备发送的当前周期内的用户订单信息。
进一步地，所述接收第二电子设备发送的当前周期内的用户订单信息包括：
接收第二电子设备发送的有效用户订单信息。
具体的，当第二电子设备向第三电子设备发送的是对当前周期内的用户订单信息进行过滤处理之后的有效订单信息时，第三电子设备接收第二电子设备发送的有效用户订单信息。
步骤S502、根据当前周期内的用户订单信息，利用预设关联分析算法，确定目标关联规则。
其中，关联规则用于记录关联度高于预设阈值的至少两种商品的关联信息。
具体的，第三电子设备可以根据当前周期内的用户订单信息，利用预设关联分析算法，确定目标关联规则。其中，预设关联分析算法可以是频繁模式增长(Frequent Pattern-Growth，FP-Growth)算法，还可以是其他关联分析算法，本申请对此不作限制。以下实施例将以FP-Growth算法为例进行说明。首先，需要对当前周期内的用户订单信息进行分析，确定用户订单信息中每个商品的支持度，并确定出每个用户订单信息中支持度不小于预设支持度阈值的至少一个频繁项。其中，每个频繁项对应一个商品的标识信息。然后根据每个用户订单信息中支持度高于预设支持度阈值的至少一个频繁项，确定出支持度不小于预设支持度阈值的至少一个频繁项集。其中，每个频繁项集中包含至少一个频繁项。针对每个频繁项集，确定其对应的置信度，将置信度高于预设置信度阈值的频繁项集确定为目标频繁项集，并为每个目标频繁项集生成其对应的目标关联规则，目标关联规则中包含目标频繁项集及其对应的置信度。
需要说明的是，预设支持度阈值及预设置信度阈值可以根据实际需求设置，本申请对此不作限制。
需要说明的是，由于可能存在当前周期内的用户订单信息数量巨大的情况，在采用预设关联分析算法对用户订单信息进行处理时，会存在大量的读取/写入的过程，耗费大量的时间，因此第三电子设备可以是云计算服务器，所有的数据处理过程在云端进行处理并输出目标关联规则，从而避免大量的写入/读取过程，提高对用户订单信息的处理效率。当然，第三电子设备也可以是其他电子设备，本申请对此不作限制。
示例性的，假设仓库中的商品包括：A商品、B商品、C商品、D商品、E商品、F商品、G商品、H商品、I商品、J商品、K商品、L商品、M商品、N商品，假设当前周期内的用户订单信息包括用户订单信息1、用户订单信息2、用户订单信息3、用户订单信息4、用户订单信息5，每个用户订单信息具体如表1所示。
表1

根据当前周期内的用户订单信息，确定每个商品的支持度，即每个商品在上述5个用户订单信息中的出现次数。针对每个用户订单信息，确定出该用户订单信息中支持度不小于预设支持度阈值的商品的标识信息，即为频繁项。假设预设支持度阈值为3，每个用户订单信息中的频繁项如表2所示。
表2
接下来，针对当前周期内的用户订单信息中的每个用户订单信息，根据其对应的商品中的频繁项，为其每一个频繁项标记节点,然后形成根节点Null到商品节点的路径，即为该用户订单信息对应的路径。然后在所有用户订单信息都生成其对应的路径之后，生成FP-tree。例如，针对用户订单1，如图6(1)所示，生成路径1：{(C:1),(A:1),(F:1),(M:1),(N:1)}；针对用户订单2，生成路径2：{(C:1),(A:1),(N:1)}，路径2与路径1的前两项相同，因此，如图6(2)所示，C、A节点后的数字加1；针对用户订单3，生成路径3：{(C:1),(F:1),(M:1)}，路径3与路径1的第一项与第三项相同，因此，如图6(3)所示，C节点后的数字加1，并在C节点后添加{(F:1),(M:1)}分支；针对用户订单4，生成路径4：{(M:1),(N:1)}，具体如图6(4)所示；针对用户订单5，生成路径5：{(C:1),(A:1),(F:1)}，路径5与路径1的前三项相同，因此，如图6(5)所示，C、A、F节点后的数字可以加1，即为FP-tree。
然后，从图6(5)中的FP-tree中每条路径的结尾节点开始依次向上确定出相应的频繁项集，从第一个结尾节点N开始确定频繁项集，节点N存在于路径1：{(C:1),(A:1),(F:1),(M:1),(N:1)}、路径2：{(C:1),(A:1),(N:1)}、路径4：{(M:1),(N:1)}，但路径1、路径2与路径4均只出现了一次，由于最小支持度阈值为3，因此只能确定出一个频繁项集{(N:3)}，该频繁项集{(N:3)}中包含N商品，对应的支持度为3。同理，对于节点M，确定出一个频繁项集{(M:3)}。同理，对于节点F，确定出一个频繁项集{(F:3)}。然后对于节点A，确定出两个频繁项集：{(CA:3)}，{(A:3)}，对于节点C，确定出一个频繁项集：{(C:4)}。具体如表3所示。
表3

然后，确定每个频繁项集的非空子集，由表3可知，只有频繁项集{(C:4)}包含一个非空子集{(CA:3)}，因此可以确定频繁项集{(CA:3)}的置信度为频繁项集{(CA:3)}的支持度与频繁项集{(C:4)}的支持度的比值，即为75％。假设预设置信度阈值为70％，那么可以确定频繁项集{(CA:3)}为目标关联规则，对应的置信度为75％。
需要说明的是，上述例子仅示例性的描述了关联规则的具体确定方法，只要确定出的频繁项集的置信度高于预设置信度阈值，即可根据该频繁项集生成对应的目标关联规则，也就是说，根据当前周期内的用户订单信息确定出的目标关联规则可能存在多个，本申请对此不作限制。
需要说明的是，关联规则用于记录关联度高于预设阈值的至少两种商品的关联信息，在本申请实施例中，在预设关联分析算法为FP-Growth算法时，上述置信度即为关联度，上述预设置信度阈值即为预设阈值。
步骤S503、向第二电子设备发送目标关联规则。
具体的，在生成目标关联规则之后，第三电子设备可以向第二电子设备发送目标关联规则。
图7为本申请实施例提供的另一种仓储管理方法的流程示意图。所述方法具体如下。
步骤S701、第二电子设备确定待出货的用户订单信息。
具体可参考步骤S301，在此不再赘述。
步骤S702、根据待出货的用户订单信息，生成搬箱任务信息。
具体可参考步骤S302，在此不再赘述。
步骤S703、向第一电子设备发送搬箱任务信息，第一电子设备接收搬箱任务信息。
具体可参考步骤S303，在此不再赘述。
步骤S704、第一电子设备根据搬箱任务信息，确定目标商品所在的目标料箱的当前存放位置，将目标料箱的历史存放位置更新为目标料箱的当前存放位置，并将目标料箱从当前存放位置搬运至拣选操作台。
具体可参考步骤S102及步骤S202，在此不再赘述。
步骤S705、第一电子设备向第二电子设备发送获取关联规则的请求消息，第二电子设备接收第一电子设备发送的获取关联规则的请求消息。
具体可参考步骤S103及步骤S304。
步骤S706、第二电子设备获取已保存的关联规则，并向第一电子设备发送关联规则。
具体可参考步骤S305，在此不再赘述。
步骤S707、第一电子设备接收第二电子设备发送的关联规则，并根据关联规则确定目标位置。
具体可参考步骤S104及步骤S204，在此不再赘述。
步骤S708、第一电子设备将目标料箱从拣选操作台归还至目标位置。
具体可参考周S105，在此不再赘述。
步骤S709、第二电子设备周期性获取用户订单信息，并向第三电子设备发送当前周期内的用户订单信息，第三电子设备接收第二电子设备发送的当前周期内的用户订单信息。
具体可参考步骤S406，在此不再赘述。
步骤S710、第三电子设备根据当前周期内的用户订单信息，利用预设关联分析算法，确定目标关联规则。
具体可参考步骤S502，在此不再赘述。
步骤S711、第三电子设备向第二电子设备发送目标关联规则，第二电子设备接收第三电子设备发送的目标关联规则。
具体可参考步骤S407及步骤S503，在此不再赘述。
步骤S712、第二电子设备将已保存的关联规则更新为目标关联规则。
具体可参考步骤S408，在此不再赘述。
与上述实施例相对应，本申请实施例提供了一种仓储管理装置。如图8所示，该装置包括：
接收单元801，用于接收第二电子设备发送的搬箱任务信息。
其中，搬箱任务信息包括目标商品的标识信息。
处理单元802，用于根据搬箱任务信息，确定目标商品所在的目标料箱的当前存放位置，并将目标料箱从当前存放位置搬运至拣选操作台。
处理单元802，还用于向第二电子设备发送获取关联规则的请求消息。
接收单元801，还用于接收第二电子设备发送的关联规则，并根据关联规则确定目标位置；关联规则用于记录关联度高于预设阈值的至少两种商品的关联信息。
处理单元802，还用于将目标料箱从拣选操作台归还至目标位置。
作为一种可能的实现方式，接收单元801，具体用于根据目标商品的标识信息，确定关联规则中是否存在第一关联规则，其中，第一关联规则是目标商品对应的关联规则；
若存在第一关联规则，则根据第一关联规则确定目标商品的关联商品；关联商品为第一关联规则中记录的与目标商品关联的其他商品；
获取关联商品的位置信息及至少一个空闲位置信息；
根据至少一个空闲位置信息及关联商品的位置信息，确定目标位置。
作为一种可能的实现方式，接收单元801，具体用于若第一关联规则的数量为至少两个，则在至少两个第一关联规则中确定出第二关联规则；根据第二关联规则，确定目标商品的关联商品。
作为一种可能的实现方式，接收单元801，具体用于获取至少两个第一关联规则的优先级；
根据至少两个第一关联规则的优先级，将至少两个第一关联规则中优先级最高的第一关联规则确定为第二关联规则。
作为一种可能的实现方式，处理单元802，还用于将目标料箱的历史存放位置更新为目标料箱的当前存放位置。
作为一种可能的实现方式，接收单元801，还用于若确定不存在第一关联规则， 则将目标料箱的历史存放位置确定为目标位置。
作为一种可能的实现方式，接收单元801，具体用于若确定不存在第一关联规则，则确定目标料箱的历史存放位置是否处于空闲状态；若确定目标料箱的历史存放位置处于空闲状态，则将目标料箱的历史存放位置确定为目标位置。
作为一种可能的实现方式，接收单元801，还用于若确定目标料箱的历史存放位置处于占用状态，则获取至少一个空闲位置信息；根据至少一个空闲位置信息，确定目标位置。
图9为本申请实施例提供的另一种仓储管理装置的结构示意图。所述装置包括：
处理单元901，用于确定待出货的用户订单信息；待出货的用户订单信息中包括目标商品的标识信息；
处理单元901，还用于根据待出货的用户订单信息，生成搬箱任务信息；搬箱任务信息包括目标商品的标识信息；
处理单元901，还用于向第一电子设备发送搬箱任务信息；
接收单元902，用于接收第一电子设备发送的获取关联规则的请求消息；
处理单元901，还用于获取已保存的关联规则，并向第一电子设备发送关联规则。
作为一种可能的实现方式，接收单元902，还用于接收第三电子设备发送的目标关联规则；
处理单元901，还用于将已保存的关联规则更新为目标关联规则。
作为一种可能的实现方式，如图10所示，仓储管理装置还包括：获取单元903；
获取单元，用于周期性获取用户订单信息，并向第三电子设备发送当前周期内的用户订单信息；当前周期内的用户订单信息包括至少一个用户订单的订单信息；至少一个用户订单中的每个用户订单的订单信息包括至少一种商品的标识信息。
作为一种可能的实现方式，获取单元，具体用于按照预设订单过滤规则，对当前周期内的用户订单信息进行过滤处理，得到有效用户订单信息；
向第三电子设备发送有效用户订单信息。
图11为本申请实施例提供的另一种仓储管理装置的结构示意图，所述仓储管理装置包括：
接收单元1101，用于接收第二电子设备发送的当前周期内的用户订单信息；当前周期内的用户订单信息包括至少一个用户订单的订单信息；
处理单元1102，用于根据当前周期内的用户订单信息，利用预设关联分析算法，确定目标关联规则；目标关联规则包括至少两种商品的标识信息；目标关联规则用于表征目标关联规则中包含的至少两种商品的关联度高于预设阈值；
处理单元1102，还用于向第二电子设备发送目标关联规则。
作为一种可能的实现方式，接收单元1101，具体用于接收第二电子设备发送的有效用户订单信息；
处理单元1102，具体用于根据有效用户订单信息，利用预设关联分析算法，确定目标关联规则。
与上述实施例相对应，本申请还提供了一种电子设备。图12为本发明实施例提供的一种电子设备的结构示意图，所述电子设备1200可以包括：处理器1201、存储 器1202及通信单元1203。这些组件通过一条或多条总线进行通信，本领域技术人员可以理解，图中示出的服务器的结构并不构成对本发明实施例的限定，它既可以是总线形结构，也可以是星型结构，还可以包括比图示更多或更少的部件，或者组合某些部件，或者不同的部件布置。
其中，所述通信单元1203，用于建立通信信道，从而使所述电子设备可以与其它设备进行通信。接收其他设备发送的用户数据或者向其他设备发送用户数据。
所述处理器1201，为电子设备的控制中心，利用各种接口和线路连接整个电子设备的各个部分，通过运行或执行存储在存储器1202内的软件程序和/或模块，以及调用存储在存储器内的数据，以执行电子设备的各种功能和/或处理数据。所述处理器可以由集成电路(integrated circuit，IC)组成，例如可以由单颗封装的IC所组成，也可以由连接多颗相同功能或不同功能的封装IC而组成。举例来说，处理器1201可以仅包括中央处理器(central processing unit，CPU)。在本发明实施方式中，CPU可以是单运算核心，也可以包括多运算核心。
所述存储器1202，用于存储处理器1201的执行指令，存储器1202可以由任何类型的易失性或非易失性存储设备或者它们的组合实现，如静态随机存取存储器(SRAM)，电可擦除可编程只读存储器(EEPROM)，可擦除可编程只读存储器(EPROM)，可编程只读存储器(PROM)，只读存储器(ROM)，磁存储器，快闪存储器，磁盘或光盘。
当存储器1202中的执行指令由处理器1201执行时，使得电子设备1200能够执行图2或图4或图5所示实施例中的部分或全部步骤。
具体实现中，本发明还提供一种计算机存储介质，其中，该计算机存储介质可存储有程序，该程序执行时可包括本发明提供的仓储管理方法的各实施例中的部分或全部步骤。所述的存储介质可为磁碟、光盘、只读存储记忆体(read-only memory，ROM)或随机存储记忆体(random access memory，RAM)等。
本领域的技术人员可以清楚地了解到本发明实施例中的技术可借助软件加必需的通用硬件平台的方式来实现。基于这样的理解，本发明实施例中的技术方案本质上或者说对现有技术做出贡献的部分可以以软件产品的形式体现出来，该计算机软件产品可以存储在存储介质中，如ROM/RAM、磁碟、光盘等，包括若干指令用以使得一台计算机设备(可以是个人计算机，服务器，或者网络设备等)执行本发明各个实施例或者实施例的某些部分所述的方法。
本说明书中各个实施例之间相同相似的部分互相参见即可。尤其，对于装置实施例和终端实施例而言，由于其基本相似于方法实施例，所以描述的比较简单，相关之处参见方法实施例中的说明即可。

Claims (19)

  1. 一种仓储管理方法，其特征在于，包括：
    第一电子设备接收第二电子设备发送的搬箱任务信息；所述搬箱任务信息包括目标商品的标识信息；
    根据所述搬箱任务信息，确定所述目标商品所在的目标料箱的当前存放位置，并将所述目标料箱从当前存放位置搬运至拣选操作台；
    向第二电子设备发送获取关联规则的请求消息；
    接收所述第二电子设备发送的关联规则，并根据所述关联规则确定目标位置；所述关联规则用于记录关联度高于预设阈值的至少两种商品的关联信息；
    将所述目标料箱从所述拣选操作台归还至所述目标位置。
  2. 根据权利要求1所述的方法，其特征在于，所述根据所述关联规则确定目标位置包括：
    根据所述目标商品的标识信息，确定所述关联规则中是否存在第一关联规则；所述第一关联规则是所述目标商品对应的关联规则；
    若存在第一关联规则，则根据所述第一关联规则确定目标商品的关联商品；所述关联商品为所述第一关联规则中记录的与所述目标商品关联的其他商品；
    获取所述关联商品的位置信息及至少一个空闲位置信息；
    根据所述至少一个空闲位置信息及所述关联商品的位置信息，确定目标位置。
  3. 根据权利要求2所述的方法，其特征在于，所述根据所述第一关联规则确定目标商品的关联商品包括：
    若所述第一关联规则的数量为至少两个，则在至少两个所述第一关联规则中确定出第二关联规则；
    根据所述第二关联规则，确定所述目标商品的关联商品。
  4. 根据权利要求3所述的方法，其特征在于，所述在至少两个所述第一关联规则中确定出第二关联规则包括：
    获取所述至少两个第一关联规则的优先级；
    根据所述至少两个第一关联规则的优先级，将所述至少两个第一关联规则中优先级最高的第一关联规则确定为第二关联规则。
  5. 根据权利要求2所述的方法，其特征在于，在将所述目标料箱从当前存放位置搬运至拣选操作台之前，还包括：
    将所述目标料箱的历史存放位置更新为所述目标料箱的当前存放位置。
  6. 根据权利要求5所述的方法，其特征在于，还包括：
    若确定不存在第一关联规则，则将所述目标料箱的历史存放位置确定为目标位置。
  7. 根据权利要求6所述的方法，其特征在于，所述若确定不存在第一关联规则，则将所述目标料箱的历史存放位置确定为目标位置包括：
    若确定不存在第一关联规则，则确定所述目标料箱的历史存放位置是否处于空闲状态；
    若确定所述目标料箱的历史存放位置处于空闲状态，则将所述目标料箱的历史存放位置确定为所述目标位置。
  8. 根据权利要求7所述的方法，其特征在于，还包括：
    若确定所述目标料箱的历史存放位置处于占用状态，则获取至少一个空闲位置信息；
    根据所述至少一个空闲位置信息，确定目标位置。
  9. 一种仓储管理方法，其特征在于，
    第二电子设备确定待出货的用户订单信息；所述待出货的用户订单信息中包括目标商品的标识信息；
    根据所述待出货的用户订单信息，生成搬箱任务信息；所述搬箱任务信息包括目标商品的标识信息；
    向第一电子设备发送搬箱任务信息；
    接收所述第一电子设备发送的获取关联规则的请求消息；
    获取已保存的关联规则，并向所述第一电子设备发送所述关联规则。
  10. 根据权利要求9所述的方法，其特征在于，还包括：
    接收第三电子设备发送的目标关联规则；
    将所述已保存的关联规则更新为所述目标关联规则。
  11. 根据权利要求9所述的方法，其特征在于，还包括：
    周期性获取用户订单信息，并向第三电子设备发送当前周期内的用户订单信息；所述当前周期内的用户订单信息包括至少一个用户订单的订单信息；所述至少一个用户订单中的每个用户订单的订单信息包括至少一种商品的标识信息。
  12. 根据权利要求11所述的方法，其特征在于，所述向所述第三电子设备发送当前周期内的用户订单信息包括：
    按照预设订单过滤规则，对当前周期内的用户订单信息进行过滤处理，得到有效用户订单信息；
    向所述第三电子设备发送所述有效用户订单信息。
  13. 一种仓储管理方法，其特征在于，
    第三电子设备接收第二电子设备发送的当前周期内的用户订单信息；所述当前周期内的用户订单信息包括至少一个用户订单的订单信息；所述至少一个用户订单中的每个用户订单的订单信息包括至少一种商品的标识信息；
    根据所述当前周期内的用户订单信息，利用预设关联分析算法，确定目标关联规则；所述关联规则用于记录关联度高于预设阈值的至少两种商品的关联信息；
    向所述第二电子设备发送所述目标关联规则。
  14. 根据权利要求13所述的方法，其特征在于，所述接收第二电子设备发送的当前周期内的用户订单信息包括：
    接收第二电子设备发送的有效用户订单信息；
    所述根据所述当前周期内的用户订单信息，利用预设关联分析算法，确定目标关联规则包括：
    根据所述有效用户订单信息，利用预设关联分析算法，确定目标关联规则。
  15. 一种仓储管理装置，其特征在于，包括：
    接收单元，用于接收第二电子设备发送的搬箱任务信息；所述搬箱任务信息包括目标商品的标识信息；
    处理单元，用于根据所述搬箱任务信息，确定所述目标商品所在的目标料箱的当前存 放位置，并将所述目标料箱从当前存放位置搬运至拣选操作台；
    所述处理单元，还用于向所述第二电子设备发送获取关联规则的请求消息；
    所述接收单元，还用于接收所述第二电子设备发送的关联规则，并根据所述关联规则确定目标位置；所述关联规则用于记录关联度高于预设阈值的至少两种商品的关联信息；
    所述处理单元，还用于将所述目标料箱从所述拣选操作台归还至所述目标位置。
  16. 一种仓储管理装置，其特征在于，包括：
    处理单元，用于确定待出货的用户订单信息；所述待出货的用户订单信息中包括目标商品的标识信息；
    所述处理单元，还用于根据所述待出货的用户订单信息，生成搬箱任务信息；所述搬箱任务信息包括目标商品的标识信息；
    所述处理单元，还用于向第一电子设备发送搬箱任务信息；
    接收单元，用于接收所述第一电子设备发送的获取关联规则的请求消息；
    所述处理单元，还用于获取已保存的关联规则，并向所述第一电子设备发送所述关联规则。
  17. 一种仓储管理装置，其特征在于，包括：
    接收单元，用于接收第二电子设备发送的当前周期内的用户订单信息；所述当前周期内的用户订单信息包括至少一个用户订单的订单信息；
    处理单元，用于根据所述当前周期内的用户订单信息，利用预设关联分析算法，确定目标关联规则；所述目标关联规则包括至少两种商品的标识信息；所述目标关联规则用于表征目标关联规则中包含的至少两种商品的关联度高于预设阈值；
    所述处理单元，还用于向所述第二电子设备发送所述目标关联规则。
  18. 一种电子设备，其特征在于，包括：处理器和存储器，所述存储器存储有计算机程序，当所述计算机程序被执行时，使得所述电子设备执行权利要求1-8任一项或权利要求9-12任一项或权利要求13-14任一项所述的方法。
  19. 一种存储介质，其特征在于，所述存储介质包括存储的程序，其中，在所述程序运行时控制所述存储介质所在设备执行权利要求1-8任一项或权利要求9-12任一项或权利要求13-14任一项所述的方法。
PCT/CN2023/118654 2022-09-16 2023-09-13 一种仓储管理方法、装置、设备及存储介质 WO2024056006A1 (zh)

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CN109189013A (zh) * 2018-08-23 2019-01-11 北京极智嘉科技有限公司 容器的操作方法、装置、服务器及存储介质
CN109987369A (zh) * 2019-05-07 2019-07-09 北京极智嘉科技有限公司 仓储物品的调度系统及方法
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JP2020071740A (ja) * 2018-10-31 2020-05-07 株式会社オオボリ 物流システム及び物流方法
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