WO2020007194A1 - 订单处理方法以及装置、商品体积推定方法及装置 - Google Patents

订单处理方法以及装置、商品体积推定方法及装置 Download PDF

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Publication number
WO2020007194A1
WO2020007194A1 PCT/CN2019/091876 CN2019091876W WO2020007194A1 WO 2020007194 A1 WO2020007194 A1 WO 2020007194A1 CN 2019091876 W CN2019091876 W CN 2019091876W WO 2020007194 A1 WO2020007194 A1 WO 2020007194A1
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Prior art keywords
volume
cargo
current
historical
goods
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PCT/CN2019/091876
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English (en)
French (fr)
Inventor
刘凯
白召明
王政
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北京极智嘉科技有限公司
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Priority claimed from CN201810706714.2A external-priority patent/CN109003021A/zh
Priority claimed from CN201811141989.2A external-priority patent/CN109118150B/zh
Application filed by 北京极智嘉科技有限公司 filed Critical 北京极智嘉科技有限公司
Priority to US16/960,893 priority Critical patent/US20210082031A1/en
Priority to JP2020545726A priority patent/JP6935600B2/ja
Publication of WO2020007194A1 publication Critical patent/WO2020007194A1/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]
    • G06Q30/0639—Item locations
    • 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]
    • G06Q30/0633—Lists, e.g. purchase orders, compilation or processing
    • G06Q30/0635—Processing of requisition or of purchase orders

Definitions

  • the present application relates to the technical field of logistics and warehousing, for example, to an order processing method, an apparatus, a server, and a storage medium, and to an estimation method, an apparatus, a computer device, and a storage medium of a commodity volume.
  • the mobile robot picking system transforms the traditional "people-to-goods" mode into "goods-to-people” picking by moving the shelves with mobile robots, effectively improving operation efficiency, reducing labor costs, promoting the improvement of production capacity, and breaking the traditional goods picking mode Effectively improve work efficiency.
  • the robot picking system has also made many innovations in order to meet the needs of various industries.
  • the efficiency of manual picking from the picking station to the seeding wall directly affects the picking efficiency of the entire job.
  • the turnover box is the carrier for the movement of goods during the picking process. Its moving speed and degree of air overflow determine the efficiency of the picking. After the goods are picked up by the workstation manually, the goods are put into the turnover box. On the one hand, if the turnover box is relatively empty, it will waste the turnover box space, increase the number of times the turnover box is moved, and reduce the picking efficiency. On the other hand, if the turnover box cannot hold the goods, the turnover box needs to be manually disassembled, thereby increasing the manual operation.
  • a direct measurement method is currently used to obtain the volume of the product, and the turnover box is allocated to the order according to the volume of the turnover box and the volume of the product.
  • this method reduces the number of manual splitting of the turnover box or the probability of dissatisfaction of the turnover box to a certain extent, due to the influence of the irregularity of the goods or the way of placing the goods, the turnover box is still empty or needs to be manually split The problem. Therefore, it is necessary to provide a new method for allocating turnover boxes for orders.
  • a "Warehouse Management System (WMS) + robot” is used, and the system dispatches the robot to move appropriate shelves for picking, placing, Inventory operations such as inventory.
  • WMS Warehouse Management System
  • the "cargo-to-person” robot system relies on big data and intelligent algorithms to implement intelligent storage.
  • the volume information of the product is an important basic information in the big data of the warehouse. Accurate product volume information.
  • the collection methods of volume information of goods mainly include incoming from upstream suppliers or consignors, manual and manual measurement, and equipment measurement.
  • the disadvantages of the above collection methods are as follows: in the first method, when the upstream supplier or the cargo owner passes in the product volume information, the complete product volume information may not be provided or the provided product volume information is inaccurate; in the second method, manual labor is provided. Manual measurement of the volume of the product will increase the manual workload in the warehouse, especially for warehouses where new products are frequently stored, manual measurement takes a long time, the frequency is high, and the occupation of labor is serious; the third method is to use equipment to measure the volume of the product. The cost is higher, and compared with the volume of products directly passed upstream, an additional volume measurement process is required.
  • the embodiments of the present application provide an order processing method, a device, a server, and a storage medium.
  • a turnover box By rationally allocating a turnover box to the order, the number of times the turnover box is moved and manual unpacking operations are improved, thereby improving the picking efficiency.
  • an embodiment of the present application provides an order processing method.
  • the method includes:
  • an embodiment of the present application further provides an order processing apparatus, where the apparatus includes:
  • the actual volume determination module is configured to determine the actual volume of at least one cargo associated with the order, wherein the actual volume of each cargo is determined according to the historical maximum storage quantity of the cargo in the cargo space and the volume of the cargo space. Or the storage quantity of the goods in the turnover box and the volume of the turnover box are determined;
  • a total volume determining module configured to determine a total volume of at least one kind of goods associated with the order according to an actual volume of the at least one kind of goods associated with the order;
  • the allocation module is configured to allocate a turnover box for the order according to a total volume of at least one kind of goods associated with the order and a volume of the turnover box.
  • an embodiment of the present application further provides a server, where the server includes:
  • One or more processors are One or more processors;
  • a storage device configured to store one or more programs
  • the one or more processors When the one or more programs are executed by the one or more processors, the one or more processors are caused to implement the foregoing order processing method.
  • an embodiment of the present application further provides a storage medium on which a computer program is stored, and the program is implemented by the processor to implement the foregoing order processing method.
  • the order processing method, device, server, and storage medium provided in the embodiments of the present application provide the goods by the storage capacity of the turnover box and the volume of the turnover box according to the historical maximum storage quantity of the goods in the cargo space and the volume of the cargo space.
  • the actual volume; the actual volume of the goods associated with the order is combined to obtain the total volume; the turnover box is reasonably allocated to the order based on the total volume and the volume of the turnover box, avoiding the phenomenon of unsatisfactory or overflowing turnover box due to the inaccurate cargo volume , Reduce the turnover times of turnover boxes and manual unpacking operations, thereby improving the efficiency of picking.
  • an embodiment of the present application provides a method for estimating the volume of a commodity, which method includes:
  • the current unit of the current SKU product in the location is determined according to the location volume of the location and the storage quantity of the current SKU product in the location.
  • an embodiment of the present application further provides a device for determining a volume of a commodity, where the device includes:
  • the shelf search module is configured to find a set of cargo locations involved in the current SKU product when the new operation is completed when it is detected that a new shelf operation of the current SKU product is completed;
  • the current volume upper limit determination module is configured to determine, for each location in the location set, the current SKU product according to the location volume of the location and the storage quantity of the current SKU product in the location.
  • the volume update module is configured to update the historical volume of the current SKU product according to the current unit volume upper limit corresponding to the current SKU product on each location.
  • an embodiment of the present application further provides a computer device, where the computer device includes:
  • One or more processors are One or more processors;
  • a storage device configured to store one or more programs
  • the one or more processors When the one or more programs are executed by the one or more processors, the one or more processors are caused to implement the commodity volume determination method as described above.
  • an embodiment of the present application further provides a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, the method for determining a commodity volume as described above is implemented.
  • An embodiment of the present application provides a method for estimating the volume of a product, a device, a computer device, and a storage medium.
  • the method includes: when it is detected that a product with a current SKU has a new listing operation completed, searching for a product with the current SKU.
  • the set of shelves involved in the product when performing the new shelf operation for each of the shelves in the shelves set, based on the volume of the shelves and the goods with the current SKU,
  • the storage quantity of the shelf space determines the upper limit of the current unit volume of the product with the current SKU on the shelf space, and according to the current unit volume limit of the product with the current SKU on each shelf space. To update the historical volume of the product with the current SKU.
  • the technical solution of the embodiment of the present application can not only achieve relatively accurate product volume maintenance for the products of each SKU in the warehouse, but also the product volume estimated by the solution of this embodiment is compared with the actually measured product volume.
  • the volume of the product can better reflect the space occupation of the product, and it can also reduce the cost of equipment and labor.
  • FIG. 1 is a schematic diagram of a system structure of a cargo picking system applicable to an embodiment of the present application
  • Embodiment 3 is a flowchart of an order processing method provided in Embodiment 2 of the present application.
  • FIG. 5 is a structural block diagram of an order processing device provided in Embodiment 4 of the present application.
  • FIG. 6 is a schematic structural diagram of a server provided in Embodiment 5 of the present invention.
  • FIG. 7 is a schematic structural diagram of a partition shelf provided in an embodiment of the present invention.
  • Embodiment 8 is a schematic flowchart of a method for estimating a volume of a commodity provided in Embodiment 7 of the present invention.
  • Embodiment 9 is a schematic flowchart of a method for estimating a volume of a commodity provided in Embodiment 8 of the present invention.
  • FIG. 10 is a schematic structural diagram of a commodity volume estimation device provided in Embodiment 9 of the present invention.
  • FIG. 11 is a schematic structural diagram of a server provided in Embodiment 10 of the present application.
  • the cargo picking system 100 includes: a self-driven robot 10, a control system 20, a shelf area 30, and a picking station 40.
  • the shelf area 30 is provided with a plurality of shelves 31.
  • Various goods are placed on it, for example, as we see in the supermarket where various goods are placed, a plurality of shelves 31 are arranged in an array.
  • the control system 20 communicates with the self-driving robot 10 wirelessly, and a worker makes the control system 20 work through the operation platform 60.
  • the self-driving robot 10 performs cargo handling tasks under the control of the control system 20.
  • the self-propelled robot 10 can travel along an empty space (a part of the passage of the self-propelled robot 10) in the rack array, move below the target rack 31, lift the target rack 31 using a lifting mechanism, and carry it to the Assigned picking station 40.
  • the self-driving robot 10 has a lifting mechanism and an autonomous navigation function.
  • the self-driving robot 10 can travel below the target shelf 31 and use the lifting mechanism to lift the entire shelf 31 so that the shelf 31 can follow The lifting mechanism with a lifting function moves up and down.
  • the self-driving robot 10 can travel forward according to the two-dimensional code information captured by the camera, and can travel under the shelf 31 prompted by the control system 20 according to the route determined by the control system 20.
  • the self-driven robot 10 transfers the target rack 31 to the picking station 40, and the picker 41 or the picking robot picks the goods from the rack 31 at the picking station 40 and puts them in the turnover box 50 for packing.
  • the control system 20 is a software system running on a server and having data storage and information processing capabilities, and can be connected to robots, hardware input systems, and other software systems by wireless or wired.
  • the control system 20 may include one or more servers, which may be a centralized control architecture or a distributed computing architecture.
  • the server has a processor 201 and a memory 202, and the memory 202 may have an order pool 203.
  • the direct measurement method is currently used to obtain the volume of the product, and the turnover box is allocated to the order based on the turnover box volume and the commodity volume.
  • this method reduces the number of manual splitting of the turnover box or the probability of dissatisfaction of the turnover box to a certain extent, due to the influence of the irregularity of the goods or the way of placing the goods, the turnover box is still empty or needs to be manually split The problem.
  • a plurality of shelves 31 are arranged in an array.
  • a plurality of picking stations 40 are provided on one side of the shelf area 30.
  • the shelf can include multiple positions and four floor support columns.
  • Various goods can be directly placed on the shelf position, and one type can be placed on each shelf corresponding to the shelf. Or multiple SKUs.
  • the inventory unit (Stock Keeping Unit, SKU) is a unit for measuring inventory in and out, and can be based on pieces, boxes, and pallets.
  • SKU is a necessary method for logistics management of a large supermarket distribution center (Distribution Center, DC).
  • the SKU involved in the embodiments of the present application can be extended as a short name for a unified product number, and each product corresponds to a unique SKU number.
  • the SKU in this embodiment may be understood as a unified number or a unique identification number of a product, and the identity of various products may be identified by the SKU code corresponding to each product.
  • the picking goods placed in the turnover box need to be carried out.
  • Packaging processing When packing the picking goods placed in the turnover box, it is necessary to know the volume of the goods of the picking goods before recommending the corresponding box shape for the picking goods based on the volume information of the goods of the picking goods.
  • the above only exemplifies the process of packing the goods.
  • the related collection methods (such as upstream suppliers or consignors, manual manual measurement, equipment measurement, etc.) have certain defects in determining the volume of the product, resulting in the inefficient maintenance of the volume of many warehouse products. Therefore, there is a need to improve the way of determining the volume of goods, to maintain a relatively accurate volume of goods for each SKU in the warehouse, and to reduce equipment costs and labor costs.
  • FIG. 2 is a flowchart of an order processing method provided in Embodiment 1 of the present application. This embodiment is applicable to a case where a turnover box is reasonably allocated to an order to improve picking efficiency.
  • the method may be executed by an order processing device provided in the embodiment of the present application, and the device may be implemented in at least one of software and hardware. Referring to FIG. 2, the method includes steps S210, S220, and S230.
  • step S210 the actual volume of at least one cargo associated with the order is determined.
  • the actual volume of each cargo is determined based on the historical maximum storage quantity of the cargo in the cargo space and the volume of the cargo space, or the storage volume of the cargo in the turnover box and the volume of the turnover box.
  • the goods associated with the order can be the same kind of goods, or multiple kinds of goods; the same kind of goods refers to the goods with the same goods number, attributes, etc .; for example, a goods large and small can be used as two types Goods, such as cups.
  • the difference between the actual volume of the cargo and the true volume of the cargo tends to zero, so the actual volume of the cargo can also be called the true volume of the cargo.
  • the volume of the cargo space refers to the maximum capacity of goods that can be placed in a cargo space on the shelf. It should be noted that each shelf for storing goods has the same number of storage spaces, and the volume of each storage space on the same specification shelves is the same.
  • the historical maximum storage quantity of goods in the storage space refers to the storage quantity corresponding to the storage space that stores the largest number of goods in each storage space on all shelves that previously and now stores a kind of goods. You can traverse the storage shelves of the goods in the warehouse. Get the goods.
  • the actual volume of the cargo may be determined by using cargo space for estimation.
  • the historical maximum storage quantity of the goods in the cargo space can be divided by the volume of the cargo space to determine the actual volume of the goods.
  • Turnover box refers to the container used for picking and picking goods;
  • the volume of the turnover box refers to the volume of the actual volume of the turnover box, which is fixed and highly accurate. Its effective available volume limits the number of goods and the number of orders. That is, all goods in one or more orders can be placed in a turnover box.
  • the intelligent picking system binds the order to the turnover box.
  • the storage quantity of the goods in the turnover box refers to the maximum storage quantity of the goods stored in one turnover box, that is, the quantity of the full goods.
  • the turnover box can also be used to calculate the actual volume of the goods.
  • the actual storage volume of the goods can be determined by dividing the storage quantity of the goods in the turnover box with the volume of the turnover box.
  • the actual volume of the cargo determined by the cargo location may be the same as the actual volume of the cargo determined by the turnover box, or it may be different.
  • a basic table is configured to store the shelf position and basic volume value of the cargo.
  • the basic volume value of the cargo can be obtained through the communication between the supplier and the intelligent picking system; or the intelligent picking system can read the average volume value of the cargo type from the cargo statistics table according to the type of the cargo, and read it The results are placed in the base table of the corresponding goods.
  • the basic volume in the basic table of the goods can be dynamically adjusted according to the actual situation.
  • the volume's basic table can be updated using this volume, and the current table's credibility value can be marked in the basic table for clarity. Accuracy of the actual volume of the cargo.
  • the credibility value of the actual volume of the goods determined based on the turnover box is greater than the credibility value of the actual volume of the goods determined based on the cargo location.
  • the confidence value is greater than the confidence volume value of the basic volume value of the cargo.
  • the credibility value of the actual volume of the cargo determined according to the turnover box can be set to 1; the credibility value of the actual volume of the cargo determined according to the cargo space can be set to 0.8; the basic volume of the cargo The confidence value of the value is set to 0.3.
  • the actual volume of the goods may be obtained from the basic table of the goods associated with the order according to the order information. For example, there are the following situations: First, if all the goods in the historical order completely include all the goods in the current order, it means that the actual volume of the goods is stored in the basic table of the goods associated with the order, which can be directly obtained from the corresponding basis. Secondly, if all the goods in the historical order do not include the goods currently associated with the order, it means that the actual volume of the new goods in the current order is not determined and there are different kinds of goods. At this time, the cargo location can be used.
  • the historical maximum storage quantity of the goods and the volume of the cargo space are determined; third, if all the goods in the historical order do not include the goods currently associated with the order, and the current goods are the same type of goods, the goods in the cargo space can be used.
  • the historical maximum storage quantity and the volume of the cargo space are determined or the storage quantity of the goods in the turnover box and the volume of the turnover box are determined.
  • step S220 the total volume of the at least one kind of goods associated with the order is determined according to the actual volume of the at least one kind of goods associated with the order.
  • the total volume is obtained by combining the actual volumes of all the goods in the order.
  • a turnover box is allocated to the order according to the total volume of the at least one kind of goods associated with the order and the volume of the turnover box.
  • the volume of the turnover box refers to the volume that the turnover box can actually hold the goods, that is, the effectively available volume.
  • the order is determined according to the order information, the quantity of the goods in the order, the actual volume of the goods in the order, the order creation time and priority, etc.
  • the order may be a combination of one or more orders. Compare the total volume of all goods associated with the order to the volume of the turnover box; if the total volume of all goods associated with the order is an integer multiple of the turnover box, assign a turnover box to the order; if not, re-order Process and assign totes for the order.
  • an order corresponds to a turnover box, but when the total volume of the goods in a single order is greater than the volume of the turnover box, in order to avoid the phenomenon of the turnover box being dissatisfied or the goods overflowing, one or more The order is combined with the order to make the total volume equal to an integer multiple of the turnover box, and then the turnover box is assigned to the order.
  • the order processing method provided in the embodiment of the present application provides the actual volume of the goods by referring to the historical maximum storage quantity of the goods in the storage space and the volume of the storage space or the storage quantity of the goods in the turnover box and the volume of the turnover box; it will be associated with the order
  • the actual volume of the goods is combined to get the total volume; the turnover box is reasonably allocated to the order based on the total volume and the volume of the turnover box, which avoids the dissatisfaction or overflow of the turnover box due to the inaccurate cargo volume and reduces the turnover of the turnover box
  • the number of times and manual unboxing operations have improved the efficiency of picking.
  • FIG. 3 is a flowchart of an order processing method provided in Embodiment 2 of this application. This embodiment explains when to use a turnover box to determine the actual volume of the goods. Referring to FIG. 3, the method includes steps S310 to S350.
  • step S310 an actual volume of at least one cargo associated with the order is determined.
  • the actual volume of each cargo is determined based on the historical maximum storage quantity of the cargo in the cargo space and the volume of the cargo space, or the storage volume of the cargo in the turnover box and the volume of the turnover box.
  • step S320 the total volume of the goods associated with the order is determined according to the actual volume of the at least one kind of goods associated with the order.
  • step S330 a turnover box is allocated to the order according to the total volume of the at least one kind of goods associated with the order and the volume of the turnover box.
  • step S340 if the actual volume of a cargo is determined based on the historical maximum storage quantity of the cargo in the cargo space and the volume of the cargo space, and an unpacking instruction is received after allocating a turnover box, the turnover box is based on the turnover box. Regarding the storage quantity of the goods and the volume of the turnover box, the actual volume of the goods is determined.
  • the unpacking instruction is used to instruct the cargo picking system to count the number of goods in the current turnover box, and determine the actual volume of the goods according to the volume of the turnover box and the quantity of the goods.
  • the credibility value of the actual volume of the goods obtained from the basic table of the goods associated with the order is 0.8 according to the order information, it can be determined that the actual volume of the current goods is determined based on the cargo location.
  • the total volume of the goods determined based on the actual volume of the goods is greater than or less than the volume of the turnover box, and the goods associated with the order are the same kind of goods, in order to reduce the number of times of turnover of the turnover box and improve the picking efficiency, turnover can be used
  • the box recalculates the actual volume of the cargo.
  • the picking workstation is equipped with a touch display screen, which has a manual unboxing button. After the picking staff fills a turnover box, click the manual unboxing button on the screen, and the cargo picking system will automatically read Take and calculate the actual volume of the goods in the turnover box, and update the calculation results to the basic table of the goods, and update the credibility value marked in the basic table of the goods to 1.
  • the credibility value of the actual volume of the cargo obtained from the basic table of the cargo associated with the order is 0.8, and the total volume of the cargo determined based on the actual volume of the cargo is equal to the volume of the turnover box,
  • the goods associated with the order are the same kind of goods, and the confidence value marked in the basic table of the goods associated with the order is updated to 1.
  • step S350 according to the actual volume of the cargo determined by using the storage quantity of the cargo in the turnover box and the volume of the turnover box, the historical maximum storage quantity of the cargo in the cargo space and the cargo are updated.
  • the volume of the bit determines the actual volume of the cargo.
  • the actual volume of the cargo determined based on the historical maximum storage quantity of the cargo in the cargo space and the volume of the cargo space is replaced by the actual volume of the cargo determined based on the storage quantity of the cargo in the turnover box and the volume of the turnover container;
  • the confidence value of the actual volume of the cargo may be updated.
  • the order processing method after allocating turnover boxes to orders, if there is a phenomenon that the actual volume of the goods and the total volume of the goods determined based on the shipping position are greater or less than the turnover boxes, and the goods associated with the order are For the same kind of goods, the actual volume of the goods can be recalculated using the turnover box to obtain a more accurate actual volume of the goods, thereby reducing the number of times the turnover box is moved and improving the picking efficiency.
  • FIG. 4 is a flowchart of an order processing method provided in Embodiment 3 of the present application. This embodiment takes as an example that the historical order does not completely include the goods associated with the current order, that is, the actual volume of the new goods in the order is not determined. The determination of the actual volume of the new cargo was explained in detail. Referring to FIG. 4, the method includes steps S410 to S460.
  • step S410 the goods in the warehouse located on the shelves are traversed to determine the store in which the quantity of the goods is the largest and the current maximum storage quantity of the goods in the store.
  • the traversal in order to improve the running speed of the server, by setting system parameters, such as time, the traversal can be performed every day or periodically when order processing is not performed.
  • system parameters such as time
  • the traversal can be performed every day or periodically when order processing is not performed.
  • step S420 if the current maximum storage quantity of the goods in the storage location is greater than the historical maximum storage quantity of the goods, the historical maximum storage quantity of the goods is updated and stored according to the current maximum storage quantity of the goods.
  • the historical maximum storage quantity of goods refers to the storage quantity corresponding to the storage space where the largest quantity of goods is stored in the storage spaces on all shelves where a kind of goods were stored before and now.
  • the value corresponding to the historical maximum storage quantity of the goods is replaced with a value corresponding to the current maximum storage quantity of the goods and stored locally.
  • step S430 the effective space volume of the cargo space with the largest number of such goods is determined.
  • the volume of the positions on each shelf are the same, and the volume of the positions is fixed.
  • the volume of the space can be directly determined as the effective space volume of the space with the largest number of stored goods when accuracy is not high.
  • the cargo space space cannot be used 100%. Therefore, the effective space volume of the cargo space with the largest number of goods can be determined according to the space utilization rate of the cargo space.
  • determining the effective space volume of the storage space with the largest number of stored goods may include: calculating the storage space with the largest number of stored goods according to the volume of the storage space with the largest number of stored goods and a preset threshold of the effective space usage of the storage space. The effective space volume of the cargo space.
  • the effective space volume of the cargo space refers to the volume of space that the cargo space can hold; the threshold of the effective space utilization rate of the cargo space is set in advance according to the actual situation, including the maximum upper limit value of the cargo that can be accommodated in the cargo space and The minimum lower limit value can be obtained by direct measurement, or the threshold can be set by the system based on previous experience.
  • the maximum upper limit value of the effective space utilization rate of the cargo space may be 98%, and the minimum lower limit value may be 0.
  • step S440 the volume value of the cargo is determined according to the historical maximum storage quantity of the cargo and the effective space volume of the cargo space in which the cargo is stored, and the volume value of the cargo is used as the actual volume of the cargo. .
  • the historical maximum storage quantity of the goods is divided by the volume of the cargo space with the largest quantity of stored goods to obtain the volume value of the goods.
  • the volume value of the cargo is determined as the actual volume of the cargo, and the basic volume value and the credibility value in the basic table of the cargo are updated and stored.
  • determining the volume value of the cargo as the actual volume of the cargo can also be performed by the following steps: determine the basic volume value of the cargo; compare the volume value of the cargo with the basic volume value of the cargo; if they are not consistent, the cargo is The volume value is used as the actual volume of the cargo.
  • the basic volume value of the cargo is the initial volume of the cargo, which is stored in the basic table of the cargo in advance and can be obtained in the following two ways: First, the volume field information of the cargo is received, and the basis of the cargo is initialized according to the volume field information. Volume value; Second, according to the cargo type of the cargo, the average volume value of the cargo type is obtained from the cargo statistics table, and the basic volume value of the cargo is initialized according to the average volume value of the cargo type.
  • Volume field information refers to information that can be identified by the intelligent picking system provided by the supplier in a certain field format.
  • the information can include the volume of various goods.
  • the intelligent picking system communicates with the supplier through a fixed interface, receives the volume field information, and obtains the basic volume of various goods through decoding, decryption, or decompression. If the volume of a certain cargo in the volume field information is empty or the received volume field information is empty, the intelligent picking system will read the average volume value of the cargo type from the cargo statistics table according to the cargo type, and will read Take the result and put it into the corresponding basic table of various goods to initialize the basic volume value of various goods.
  • the cargo type refers to model, cargo code and attributes.
  • Cargo statistics table refers to the table provided by the supplier to record the relevant information of the goods.
  • the traversed volume value of the cargo is compared with the basic volume value in the basic table of the cargo. If they are consistent, the basic volume value of the cargo is determined as the actual volume of the cargo. The currently labeled credibility value is updated to 0.8; if it is not consistent, the basic volume value of the cargo is replaced with the volume value of the cargo as the actual volume of the cargo, and the currently labeled credibility value in the basic table is updated to 0.8.
  • step S450 the total volume of the goods associated with the order is determined according to the actual volume of the at least one kind of goods associated with the order.
  • step S460 a turnover box is allocated to the order according to the total volume of the at least one kind of goods associated with the order and the volume of the turnover box.
  • the order processing method provided in the embodiment of the present application obtains the storage space with the largest number of stored goods and the current maximum storage quantity of the goods in the warehouse by traversing the goods on the shelves in the warehouse, and the current maximum storage quantity of the stored goods and Compare the historical maximum storage quantity of the goods and update the historical maximum storage quantity of the goods; according to the historical maximum storage quantity of the goods, the volume of the cargo space and the basic volume value, the actual volume of the goods can be obtained. It avoids the phenomenon that the actual volume of the final cargo is inaccurately calculated in the prior art by directly measuring the actual volume of the cargo due to problems such as irregularities or placement patterns of the cargo.
  • the actual volume of the goods associated with the order is combined to obtain the total volume; the turnover box is reasonably allocated to the order based on the total volume and the volume of the turnover box, to avoid the phenomenon of unsatisfactory or overflow of the turnover box due to the inaccurate cargo volume. Reduced the number of turnover boxes and manual unpacking operations, thereby improving picking efficiency.
  • the turnover box is allocated for the order, if the actual volume of the goods and the total volume of the goods determined according to the cargo location are larger or smaller than the volume of the turnover box, unpacking can also be used, and the volume and turnover of the turnover box The total volume of other identified cargoes in the box is used to calculate the actual volume of the new cargo.
  • the turnover box can be used to re-determine the actual volume of the goods, and the actual volume of the goods determined based on the cargo space can be replaced with the actual volume of the goods determined based on the turnover boxes.
  • FIG. 5 is a structural block diagram of an order processing apparatus provided in Embodiment 4 of the present application.
  • the apparatus can execute the order processing method provided by any embodiment of the present application, and has corresponding function modules and beneficial effects of the execution method.
  • the device may include: an actual volume determination module 510, a total volume determination module 520, and a distribution module 530.
  • the actual volume determination module 510 is configured to determine the actual volume of at least one cargo associated with the order, where the actual volume of each cargo is determined or turnover based on the historical maximum storage quantity of the cargo in the cargo space and the volume of the cargo space. The storage quantity of the goods in the box and the volume of the turnover box are determined.
  • the total volume determination module 520 is configured to determine the total volume of the goods associated with the order according to the actual volume of the at least one kind of goods associated with the order.
  • the allocation module 530 is configured to allocate a turnover box to the order according to the total volume of the at least one kind of goods associated with the order and the volume of the turnover box.
  • the order processing device provided in the embodiment of the present application provides the actual volume of the goods by referring to the historical maximum storage quantity of various goods in the cargo space and the volume of the cargo space or the storage quantity of the goods in the turnover box and the volume of the turnover box;
  • the actual volume of the goods associated with the order is combined to obtain the total volume;
  • the turnover box is reasonably allocated to the order based on the total volume and the volume of the turnover box, which avoids the phenomenon that the turnover box is not full or overflowed due to the inaccurate cargo volume in the prior art.
  • the actual volume determination module 510 may be set as follows: if the actual volume of a cargo is determined based on the historical maximum storage quantity of the cargo in the cargo space and the volume of the cargo space, and after allocating a turnover box When the unpacking instruction is received, the actual volume of the cargo is determined based on the storage quantity of the cargo in the turnover box and the volume of the turnover box.
  • the above device may further include: an actual volume update module.
  • the actual volume update module is set to update the historical maximum storage quantity and location of the goods in the cargo space based on the actual volume of the goods determined by using the storage quantity of the goods in the turnover box and the volume of the turnover box.
  • the actual volume of the cargo is determined by the volume of the cargo space.
  • the actual volume determination module 510 may further include a cargo space number determination unit, a storage quantity update unit, a cargo volume determination unit, and an actual volume determination unit.
  • the number of storage space determining unit is set to traverse the goods on the storage space on the shelf in the warehouse, determine the storage space with the largest quantity of the storage space and the current maximum storage quantity of the storage space in the storage space;
  • the storage quantity update unit is configured to update and save the historical maximum storage quantity of the goods according to the current maximum storage quantity of the goods if the current maximum storage quantity of the goods is greater than the historical maximum storage quantity of the goods;
  • the cargo space volume determination unit is configured to determine the effective space volume of the cargo space that stores the largest number of such cargoes
  • the actual volume determination unit is set to obtain the volume value of the cargo according to the historical maximum storage quantity of the cargo and the effective space volume of the cargo space in which the cargo quantity is stored, and use the volume value of the cargo as the Actual volume value.
  • the above device may further include a basic volume determination module and an actual volume determination module.
  • the basic volume determination module is set to determine the basic volume value of the cargo
  • the actual volume determination module is also set to compare the volume value of the cargo with the basic volume value of the cargo. If they are not consistent, update the basic volume value of the cargo based on the volume value of the cargo.
  • the cargo volume determination unit is configured as:
  • the effective space volume of the storage space with the largest number of such goods is determined.
  • the base volume determination module is configured as:
  • the average volume value is used to initialize the base volume value of the cargo.
  • FIG. 6 is a schematic structural diagram of a server provided in Embodiment 5 of the present application.
  • FIG. 6 shows a block diagram of an exemplary server 612 suitable for use in implementing embodiments of the present application.
  • the server 612 shown in FIG. 6 is only an example, and should not impose any limitation on the functions and scope of use of the embodiments of the present application.
  • the server 612 is represented in the form of a general-purpose computing device.
  • the components of the server 612 may include, but are not limited to, one or more processors or processing units 616, a system memory 628, and a bus 618 connecting different system components (including the system memory 628 and the processing unit 616).
  • the bus 618 represents one or more of several types of bus structures, including a memory bus or a memory controller, a peripheral bus, a graphics acceleration port, a processor, or a local area bus using any of a variety of bus structures.
  • these architectures include, but are not limited to, the Industry Standard Architecture (ISA) bus, the Micro Channel Architecture (MCA) bus, the enhanced ISA bus, and the Video Electronics Standards Association Association (VESA) local area bus and Peripheral Component Interconnect (PCI) bus.
  • the server 612 typically includes a variety of computer system-readable media. These media can be any available media that can be accessed by the server 612, including volatile and non-volatile media, removable and non-removable media.
  • the system memory 628 may include a computer system readable medium in the form of volatile memory, such as Random Access Memory (RAM) 630 and / or cache memory 632.
  • the server 612 may further include other removable / non-removable, volatile / nonvolatile computer system storage media.
  • the storage system 634 may be used to read and write non-removable, non-volatile magnetic media (not shown in FIG. 6 and is commonly referred to as a "hard drive").
  • a disk drive for reading and writing to a removable non-volatile disk (for example, a “floppy disk”), and a removable non-volatile disk (for example, a Compact Disc) can be provided.
  • each drive may be connected to the bus 618 through one or more data medium interfaces.
  • the system memory 628 may include at least one program product having a set (eg, at least one) of program modules configured to perform the functions of the embodiments of the present application.
  • a program / utility tool 640 having a set (at least one) of program modules 642 may be stored in, for example, system memory 628.
  • Such program modules 642 include, but are not limited to, an operating system, one or more application programs, other program modules, and programs Data, each or some combination of these examples may include an implementation of the network environment.
  • the program module 642 generally performs functions and / or methods in the embodiments described in this application.
  • the server 612 may also communicate with one or more external devices 614 (such as a keyboard, pointing device, display 624, etc.), may also communicate with one or more devices that enable users to interact with the device, and / or with the server 612 can communicate with any device (eg, network card, modem, etc.) that can communicate with one or more other computing devices. This communication can be performed through an input / output (I / O) interface 622.
  • the server 612 can also communicate with one or more networks (such as a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) through the network adapter 620. As shown, the network adapter 620 communicates with other modules of the server 612 through the bus 618.
  • LAN local area network
  • WAN wide area network
  • public network such as the Internet
  • server 612 may be used in conjunction with the server 612, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, and disk arrays (Redundant Arrays) Independent Disks (RAID) systems, tape drives, and data backup storage systems.
  • the processing unit 616 executes various functional applications and data processing by running a program stored in the system memory 628, for example, implementing an order processing method provided in the embodiment of the present application.
  • Embodiment 6 of the present application further provides a computer-readable storage medium on which a computer program is stored.
  • the program When the program is executed by a processor, it can implement any order processing method in the foregoing embodiments.
  • the computer storage medium in the embodiments of the present application may adopt any combination of one or more computer-readable media.
  • the computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium.
  • the computer-readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof.
  • a computer-readable storage medium may be any tangible medium that contains or stores a program that can be used by or in combination with an instruction execution system, apparatus, or device.
  • the computer-readable signal medium may include a data signal propagated in baseband or transmitted as part of a carrier wave, which carries a computer-readable program code. Such a propagated data signal may take many forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the foregoing.
  • the computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, and the computer-readable medium may send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device. .
  • the program code contained on the computer-readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, optical cable, radio frequency (RF), or any suitable combination of the foregoing.
  • RF radio frequency
  • the computer program code for performing the operations of this application may be written in one or more programming languages, or a combination thereof, including programming languages such as Java, Smalltalk, C ++, and also conventional Procedural programming language—such as "C" or similar programming language.
  • the program code can be executed entirely on the user's computer, partly on the user's computer, as an independent software package, partly on the user's computer, partly on a remote computer, or entirely on a remote computer or server.
  • the remote computer can be connected to the user's computer through any kind of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computer (such as using an Internet service provider to connect through the Internet) .
  • LAN local area network
  • WAN wide area network
  • the exemplary description scheme for determining the basic volume value of the kind of cargo includes: when it is detected that a new loading operation of the kind of cargo is completed, finding out that the kind of cargo is undergoing the new The set of racking locations involved in the racking operation; for each racking location in the racking set, the type is determined based on the volume of the racking space and the quantity of the goods stored in the racking space.
  • the current upper limit of the unit volume of the cargo on the racked space; the base volume value of the cargo is updated based on the current limit of the unit volume of the cargo on each racked space.
  • FIG. 8 is a schematic flowchart of a method for estimating the volume of a commodity provided in Embodiment 7 of the present application.
  • the method for estimating the volume of a commodity in the embodiment of the present application can be applied to the case of maintaining the volume of a commodity on a shelf for real-time maintenance.
  • the product volume estimation device is implemented.
  • the device may be implemented in at least one of software and hardware.
  • the device may be integrated in any computer equipment having a network communication function for performing product volume estimation.
  • the method for estimating a product volume in the embodiment of the present application may include steps 801, 802, and 803.
  • step 801 when it is detected that a new shelf operation of the current SKU product is completed, a set of shelf positions involved in the current SKU product when performing a new shelf operation is found.
  • the “stock space set” in this embodiment is also the “stock space set”.
  • each commodity in the warehouse can be stored on the shelves of each shelf.
  • the same commodity can be stored on the same shelf of the same shelf in a distributed manner, and can be stored on different shelves in the same shelf.
  • the storage space can also be stored on different shelves on different shelves.
  • corresponding SKU codes can be created for various commodities stored on the shelves of each shelf.
  • each product can correspond to a unique SKU code.
  • the SKU code can be understood as a unified or unique identification number of the product, and the identity of various products can be identified by the SKU code corresponding to each product.
  • the new shelf operation of the current SKU product can be understood as the current SKU product stored in each shelf position in advance, and the new current SKU product stored in each shelf position in the warehouse; or, it can also be understood as Among the current SKU products stored in advance on each shelf location, there are some current SKU products that are re-stored from the shelf locations used when the current SKU products are stored in advance to the locations of other shelves in the warehouse. For example, when a product with SKU1 is stored in the warehouse's storage space, when one or more storage spaces are added to store a product with SKU1 again, it can be understood that the product with SKU1 has a new shelf operation. Newly added products have the same SKU, which also has SKU1. Of course, not all of the positions will be newly added with SKU1 products, you can choose one or more from the warehouse positions to store, that is, find out the new shelf operations involved in the new shelf operations.
  • each newly-stocked product with the current SKU may be stored in the same location on the same shelf, or may be stored in the same shelf in a distributed manner. Different locations may also be stored in different locations on different shelves. In addition, when newly-launched goods are stored in different locations, it may only involve the use of a portion of the shelves. Based on the above, when it is detected that a new SKU product has been newly added to the shelf, it is possible to find the set of shelves that are involved in the current SKU product during the shelf operation.
  • the shelves set may include one or more shelves.
  • the shelves set involved in the current operation of the SKU product can be understood as a new item with the current SKU when the current operation of the SKU product is completed. A collection of shelf locations used by shelves when storing products.
  • the first shelf, the second shelf, and the third shelf are provided in the warehouse as an example.
  • the first shelf may include G11, G12, and G13
  • the second shelf may include G21. Goods space, G22 space and G23 space.
  • the third shelf can include G31 space, G32 space and G33 space.
  • G11, G22, and G33 stores A products with the current SKU1.
  • it can indicate that in addition to the A product with the current SKU1 stored in the G11, G22, and G33 positions in advance, there is a new product with the current SKU1.
  • SKU1's A product is stored on one or more positions in shelf 1, shelf 2, or shelf 3; and / or, it can also indicate the A with current SKU1 on G11, G22, and G33.
  • the products there are one or more A products with the current SKU1 from the G11, G22, and G33 locations used to pre-store the A products of the current SKU1 on the other shelves in the warehouse; and / Or, it can also indicate that among the A products with the current SKU1 on the G11, G22, and G33 locations, there are one or more A products with the current SKU1 in the G11, G22, and G33 locations. Exchange between each other.
  • the storage positions used for re-storing to other storage positions can be understood as the set of storage positions involved in the new shelf operation of the A product with the current SKU1.
  • the product information (including but not limited to the SKU code of the goods) corresponding to the goods and the space information of the goods used in the goods storage can be generated.
  • Map of commodity location information can be used to find commodity information corresponding to the location information of the shelf on any location of any shelf, and can also be used to find the location of the location used when the commodity is stored based on any commodity information.
  • Cargo location information According to the product location information mapping table, it is possible to determine which SKU products have a new shelf operation completion event, and the location information of the locations used by the products of each SKU when a new shelf operation is completed.
  • the commodity location information mapping table may include a mapping relationship between the commodity information corresponding to each commodity and the location information of the location used when the commodity is stored.
  • step 802 for each shelf space in the shelf space set, the current SKU product is determined according to the volume of the shelf space and the storage quantity of the current SKU product in the shelf space. The upper limit of the current unit volume in this shelving location.
  • the upper limit of the current unit volume can be understood as the upper limit of the space volume of the shelf space that can be occupied by a single current SKU product when used on the shelf space.
  • the upper limit of the current unit volume corresponding to the current SKU products on the shelves is calculated according to the inventory on the shelves.
  • the upper limit of the current unit volume may be the ratio between the volume of the shelves and the number of the current SKU products stored on the shelves.
  • the current SKU can store not only current SKU products, but also other SKU products.
  • the actual total volume of the current SKU product (the sum of the actual volume of each current SKU product) stored on the shelves is smaller than the volume of the shelves.
  • the upper limit of the current unit volume corresponding to the current SKU product on the racked storage space determined according to the volume of the racked storage space and the number of current SKU products in the racked storage space is actually greater than the actual volume of the current SKU product.
  • due to factors such as the shape of the current SKU product, whether it can be backlogged or how it is placed it can affect the volume of space occupied by the current SKU product when stored on the shelves, thereby causing the current SKU product to be stored on the shelves.
  • the volume of space occupied is less than the three-dimensional volume of the current SKU product when it is not stored on the shelves.
  • the current SKU product is stored after being squeezed on the shelves, and at this time, the space volume actually occupied by the current SKU products on the shelves is smaller than the three-dimensional volume of the space itself.
  • the above shelf set includes the first shelf, the second shelf, and the third shelf as an example.
  • the G11, G22, and G33 shelves are all set to the volume of the shelves V, and the number of A products with current SKU1 stored in G11 is 10, the number of A products with current SKU1 stored in G22 is 30, and the number of A products with current SKU1 stored in G33 The quantity is 100.
  • the upper limit of the current unit volume of the A product with the current SKU1 on the G11 slot is: V / 10
  • the upper limit of the current unit volume of the A product with the current SKU on the G22 slot is: V / 30, with the current
  • the upper limit of the current unit volume of the A product of SKU in G33 is: V / 100. It should be noted that V / 10, V / 30 and V / 100 are actually larger than the actual volume of the current SKU product. It can be understood that each cargo space on each shelf may have the same cargo volume, or may have different cargo volume.
  • the shelves cannot fill the current SKU products, and there are no gaps in the shelves, so no matter how the current unit volume cap approaches the real volume of the current SKU product, the current unit volume cap Always larger than the true volume of the current SKU item.
  • the current unit volume of the current SKU product in the shelf position is determined.
  • the total quantity of the current SKU product stored in the shelving space may be obtained first, and the volume of the shelving space may be obtained.
  • the current SKU product is in the cargo space according to the volume of the cargo space in the cargo space and the storage quantity of the current SKU product in the cargo space.
  • the current upper limit of the unit volume may include steps 802a and 802b.
  • step 802a a loading rate of the shelf space is determined when the current SKU product uses the shelf space.
  • step 802b according to the storage space volume of the storage space, the current storage quantity of the current SKU products in the storage space, and the filling rate of the storage space, determine the current corresponding current SKU product on the shelf storage space.
  • Unit volume upper limit where, the current unit volume upper limit is greater than the actual volume of the current SKU product.
  • the “filling rate” in the embodiments of the present application is also the “effective space utilization rate”.
  • this embodiment in general, due to reasons such as preventing goods from falling from the shelves, difficulty in loading the goods at the innermost layer of the shelves, and gaps in the shelves, etc. It cannot be filled 100% of the product, so when using the shelves to store the goods, the volume of the shelves cannot be fully used, which results in the shelves based on the volume of the shelves and the current SKU products on the shelves. In the case of the number of bits, the determined upper limit of the current unit volume cannot well approach the true volume of the current SKU product. For this reason, when determining the upper limit of the current unit volume of the current SKU product in the shelves, it is necessary to discount the volume of the shelves. Based on the above situation, this embodiment introduces the loading rate of the current rack space for the current SKU product.
  • the upper limit of the current unit volume of the current SKU product in the rack space not only the goods in the shelf space are considered.
  • the volume and the number of current SKU products in the shelves, and the loading rate of the shelves in which the current SKU products are used are also considered, so that the calculated upper limit of the current unit volume of the current SKU products in the shelves is closer.
  • the loading rate of the shelving space is less than or equal to 1, and the loading rate of the shelving space can be determined according to the relationship between the shape of the goods placed on the shelving space and the actual structural characteristics of the shelving space. If the shape of the goods placed on the shelves matches the actual structural characteristics of the shelves, more goods can be placed on the shelves, and at this time, the loading rate of the shelves is set higher; otherwise, the loading rate is set. The smaller the loading rate of the shelves.
  • the storage space 33 included in the above storage space set is taken as an example.
  • the storage space volume of the storage space 33 is set to V, and the number of the current SKU products stored in the storage space 33 is N.
  • the loading rate of the cargo slot 33 used by the product is R.
  • the current upper limit of the unit volume (volume V of the cargo on the shelf) ⁇ (filling rate R of the cargo on the shelf) / (stored on the cargo on the shelf) Number of current SKU products N), calculate the current upper limit of the unit volume of the current SKU product at the shelves; where the upper limit of the current unit volume is greater than the actual volume of the current SKU products, and the filling rate R of the shelves is less than or equal to 1 .
  • step 803 the historical volume of the current SKU product is updated according to the current unit volume upper limit corresponding to the current SKU product on each shelf space.
  • the "historical volume of the current SKU product” is also the “basic volume value of this kind of goods” in the above embodiment.
  • the core idea of the method for determining the volume of the product in this embodiment is: among the upper limit of the current unit volume of the current SKU product at each of the shelves and the historical volume of the current SKU product, determine which volume is closest to the current SKU product. True volume. In other words, if the upper limit of the current unit volume of the current SKU product on the shelves is closer to the historical volume of the current SKU product, the upper limit of the current unit volume of the current SKU product on the shelves is used as the real volume of the current SKU product.
  • the historical volume of the current SKU product can be understood as the current SKU product that has been determined before the new SKU product has a new shelf operation completed.
  • the historical volume of the current SKU product is an estimated value, which will be stored along with the shelves.
  • the current number of SKU products is constantly updated.
  • the method for determining a product volume includes: when it is detected that a new SKU product is newly added to the shelf, it is to find the set of shelves involved in the current SKU product in the shelf operation according to the current SKU; Each shelf space in the shelf space set determines the current unit volume limit of the current SKU product in the shelf space based on the volume of the shelf space and the number of current SKU products in the shelf space; based on the current SKU The upper limit of the current unit volume of each product on the shelves, and the historical volume of the current SKU product is updated.
  • the technical solution of the embodiment of the present application can not only maintain a relatively accurate product volume for the products of each SKU in the warehouse, but also compare the estimated product volume through the solution of this embodiment with the actually measured product volume.
  • the volume can better reflect the space occupation of the product, and can also reduce the equipment cost and labor cost.
  • FIG. 9 is a schematic flowchart of a method for determining a volume of a commodity provided in Embodiment 8 of the present application.
  • the method for estimating a product volume in the embodiment of the present application may include steps 901 to 905.
  • step 901 when it is detected that a new shelf operation of the current SKU product is completed, a set of shelf positions involved in the current SKU product when performing a new shelf operation is found.
  • the method for estimating the product volume of this embodiment is based on the current number of SKU products stored on the shelves, the current upper limit of the unit volume of the current SKU products in the shelves is calculated, so that according to the current unit volume Upper limit to estimate the true volume of the current SKU product.
  • the current SKU products can be calculated.
  • the upper limit of the current unit volume of the shelves is greater than the upper limit of the historical unit volume of the current SKU product in the shelves.
  • each of the on-shelf locations found in the on-shelf location set can also satisfy the following condition: the number of the current SKU products currently stored on the on-shelf location is greater than the number of the current SKU products stored on the upper shelf history.
  • step 902 for each shelf space in the shelf space set, according to the shelf space volume of the shelf space and the current storage quantity of the SKU product in the shelf space, determine the current SKU product in the shelf space. The corresponding upper limit of the current unit volume.
  • the upper limit of the current unit volume corresponding to the current SKU product on the shelves is determined according to the volume of the shelves and the storage quantity of the current SKU products in the shelves.
  • the upper limit of the current unit volume is greater than the actual volume of the current SKU product.
  • step 903 if the operation of updating the historical volume of the current SKU product is not performed for the first time, the update volume of the current SKU product determined by the previous update is obtained as the historical volume of the current SKU product.
  • the operation of updating the historical volume of the current SKU product for the first time can be understood as the historical volume of the current SKU product has been updated before, and the update volume of the current SKU product obtained last time, As the historical volume of the current SKU product.
  • step 904 if the operation of updating the historical volume of the current SKU product is performed for the first time, the initialization volume of the current SKU product is the historical volume of the current SKU product.
  • the operation of updating the historical volume of the current SKU product for the first time can be understood as not updating the historical volume of the current SKU product, because it is the first time to perform the operation of updating the historical volume of the current SKU product. It is not clear the historical volume of the current SKU product. To this end, you can directly obtain the initial volume of the current SKU product, and use the acquired initial volume of the current SKU product as the historical volume of the current SKU product. In general, the initial volume of the current SKU product is used only when the historical volume of the current SKU product is updated for the first time. When the historical volume of the current SKU product is not updated for the first time, the last time the current SKU product is used. The updated volume obtained after updating the historical volume is used as the latest historical volume of the current SKU product.
  • obtaining the initialization volume of the current SKU product may include: step 904a, step 904b, and step 904c.
  • step 904a according to the current SKU, a historical location set involved in historically storing the current SKU product is searched from the historical inventory data.
  • step 904b for each historical location in the historical location set, it is determined that the current SKU product corresponds to the historical location based on the volume of the historical location and the amount of the current SKU product stored in the historical location. Maximum historical unit volume.
  • step 904c from the upper limit of the historical unit volume of the current SKU product in each historical location, the upper limit of the historical unit volume that meets the third preset standard is selected as the initial volume of the current SKU product.
  • the historical inventory data may record a set of historical locations involved in historically storing the current SKU product. These historical location sets can be found from historical inventory data based on the current SKU. For each historical location in the historical location set, the upper limit of the historical unit volume of the current SKU product on the historical location can be determined according to the volume of the historical location and the number of current SKU products in the historical location. .
  • determining the upper limit of the historical unit volume of the current SKU product on the historical cargo space according to the volume of the historical cargo space and the number of current SKU products in the historical cargo space may include: determining the current SKU product The filling rate of the historical space used; based on the volume of the historical space, the number of current SKU products in the historical space, and the filling rate of the historical space, calculate the current SKU product in the historical space.
  • Upper limit of historical unit volume where the upper limit of historical unit volume is greater than the actual volume of the current SKU product.
  • the process of determining the upper limit of the historical unit volume in this embodiment is similar to the process of determining the upper limit of the current unit volume, except that one is the current upper limit of the unit volume in the current state, and the other is after obtaining the corresponding data from the historical inventory data.
  • the upper limit of the calculated historical unit volume For specific explanations, see the explanation of determining the current unit volume.
  • the historical unit volume upper limit of each historical cargo location in the historical cargo location set with the current SKU has been obtained as above, it cannot be guaranteed that all historical unit volume upper limits are valid, so it is necessary to start from multiple historical locations.
  • the minimum upper limit of the historical unit volume may be selected from the determined upper limit of the historical unit volume as the initial volume of the current SKU product.
  • the third preset criterion may be a historical unit volume upper limit with a minimum volume upper limit value among a plurality of historical unit volume upper limits.
  • step 905 the historical volume of the current SKU product is updated according to the current unit volume upper limit of the current SKU product at each shelf location.
  • the historical volume of the current SKU product is updated according to the current unit volume upper limit corresponding to the current SKU product on each shelf space, and may include the following steps 9051a and 9051b. Sub-process (not shown in the figure).
  • step 9051a from the current unit volume upper limit corresponding to the current SKU product on each shelf space, a current unit volume upper limit that meets the first preset standard is selected.
  • step 9051b if the upper limit of the current unit volume that meets the first preset standard is less than the historical volume of the current SKU product, the upper limit of the current unit volume that meets the first preset standard is used as the updated volume of the current SKU product.
  • the multiple current unit volume upper limits obtained according to the unit volume upper limit can be sorted from large to small, and sorted from
  • the current unit volume upper limit with the smallest unit volume upper limit value is selected from the following multiple current unit volume upper limits as the current unit volume upper limit that meets the first preset standard.
  • the first preset criterion can be understood as the upper limit of the current unit volume where the upper limit value of the volume is the smallest among the multiple upper limit of the current unit volume.
  • the current unit volume upper limit of the current SKU product meeting the first preset standard after the current unit volume upper limit of the current SKU product meeting the first preset standard is selected, the current unit volume upper limit of the current SKU product meeting the first preset standard and the historical volume of the current SKU product need to be determined. Compare, determine which volume is closest to the real volume of the current SKU product, and use the closest as the updated volume of the current SKU product to implement the update operation of the historical volume of the current SKU product.
  • the upper limit of the current unit volume that meets the first preset standard is less than the historical volume of the current SKU product, the upper limit of the current unit volume that meets the first preset standard is used as the updated volume of the current SKU product;
  • the upper limit of the unit volume is greater than or equal to the historical volume of the current SKU product, the historical volume of the current SKU product is not updated, and the historical volume of the current SKU product is still used as the updated volume of the current SKU product.
  • updating the historical volume of the current SKU product according to the current unit volume upper limit corresponding to the current SKU product on each of the shelves may include the following steps 9052a, 9052b And a sub-flow (not shown in the figure) constituted by step 9052c.
  • step 9052a it is determined whether the upper limit of the current unit volume of the current SKU product in each of the shelves is smaller than the historical volume of the current SKU product;
  • step 9052b if the upper limit of the current unit volume in the shelving location is smaller than the historical volume of the current SKU product, the upper limit of the current unit volume of the current SKU product in the shelving location is used as a candidate volume.
  • step 9052c if there is at least one candidate volume, a candidate volume that meets the second preset criterion is selected from the at least one candidate standard volume as the update volume of the current SKU product.
  • the multiple current unit volume upper limits it is necessary to determine which of the multiple current unit volume upper limits which current unit volume upper limits are closer to the real volume of the current SKU product than the historical volume of the current SKU product. For example, it is determined whether the upper limit of the current unit volume of the current SKU product at each shelf location is smaller than the historical volume of the current SKU product.
  • the upper limit of the current unit volume of the current SKU product on the shelf is smaller than the historical volume of the current SKU product, it means that the upper limit of the current unit volume of the current SKU product on the shelf is closer to the real volume of the current SKU product;
  • the upper limit of the current unit volume of the shelves is greater than the historical volume of the current SKU product, which indicates that the historical volume of the current SKU product is closer to the real volume of the current SKU product.
  • the upper limit of each current unit volume in the candidate volume is closer to the actual volume of the current SKU product than the historical volume of the current SKU product.
  • the smallest candidate volume may be selected from at least one candidate standard volume as the updated volume of the current SKU product. It should be noted that the two specific optional embodiments for updating the historical volume of the current SKU product in the above step 905 may be used alone or in combination.
  • the basic idea of the method for determining the volume of a product in the embodiment of the present application is to calculate the upper limit of the current unit volume of the current SKU product in the shelf position according to the number of the current SKU product on the shelf position, and then according to the current unit The volume cap updates the historical volume of the current SKU product.
  • the reason why the above current unit volume limit is adopted is that the three-dimensional data of the product is not the only factor that determines the volume of the product. Other similar product shapes, whether the product can be squeezed, and the way the product is placed can all affect the volume of the product. These factors can be fully taken into account for the current unit volume limit of the product, so that the actual occupied volume of the product can be obtained more accurately through the current unit volume limit.
  • the technical solution of this embodiment is completed fully automatically, which does not require expensive measuring equipment or manual labor, and greatly reduces the equipment cost and labor cost for determining the volume of the product.
  • the method for determining the volume of a product provided in the embodiment of the present application can rely on actual shelves data to automatically collect and update the historical volume of the product in real time, so that the updated volume of the product is constantly close to the actual occupied volume of the product.
  • the estimated product volume of the example solution can better reflect the space occupation of the product, and at the same time can reduce equipment costs and labor costs.
  • FIG. 10 is a schematic structural diagram of a commodity volume determination device provided in Embodiment 9 of the present application.
  • the device executes the commodity volume determination method provided in the foregoing embodiment.
  • the device may be implemented in at least one of software and hardware.
  • the device can be integrated in any computer equipment with network communication function for determining the volume of a commodity.
  • the product volume determination device in the embodiment of the present application may include: a shelf search module 1001, a current volume upper limit determination module 1002, and a volume update module 1003, where:
  • the shelf search module 1001 is configured to find a shelf set involved in the current SKU product when it is detected that a new shelf operation is completed for the current SKU product.
  • the current volume upper limit determination module 1002 is configured to, for each shelf position in the shelf position set, based on the shelf volume of the shelf position and the current SKU product in the shelf position.
  • the storage quantity determines the upper limit of the current unit volume of the current SKU product in the cargo space.
  • the volume update module 1003 is configured to update the historical volume of the current SKU product according to the current unit volume upper limit of the current SKU product in each shelf space.
  • the current volume upper limit determination module 1002 may include: a filling rate determination unit and a current volume upper limit determination unit.
  • the loading rate determining unit is configured to determine a loading rate of the racked cargo space when the current SKU product uses the racked cargo space.
  • the current volume upper limit determining unit is configured to determine the current SKU product on the shelf according to the volume of the shelf position, the storage quantity of the current SKU product in the shelf, and the filling rate of the shelf position.
  • the upper limit of the current unit volume in the cargo space wherein the upper limit of the current unit volume is greater than the true volume of the current SKU product.
  • the volume update module 1003 may include a first acquisition unit, a second acquisition unit, and a volume update unit.
  • the first obtaining unit is configured to obtain an update volume of the current SKU product determined by a previous update as the historical volume of the current SKU product unless the operation of updating the historical volume of the current SKU product is performed for the first time.
  • the second obtaining unit is configured to obtain the initialization volume of the current SKU product as the historical volume of the current SKU product if the operation of updating the historical volume of the current SKU product is performed for the first time.
  • the volume update unit is configured to update the historical volume of the product with the current SKU in accordance with the current unit volume upper limit of each shelf of the product with the current SKU.
  • the volume update unit may include a first selection subunit and a first update subunit.
  • a first selection subunit is set to select a current unit volume upper limit that meets a first preset standard from the current unit volume upper limit of the current SKU product in each shelf space.
  • the first update subunit is configured to use the upper limit of the current unit volume that meets the first preset standard as the upper limit if the current unit volume limit that meets the first preset standard is less than the historical volume of the current SKU product.
  • the updated volume of the current SKU item is configured to use the upper limit of the current unit volume that meets the first preset standard as the upper limit if the current unit volume limit that meets the first preset standard is less than the historical volume of the current SKU product.
  • the volume update unit may include a determination subunit, a candidate subunit, and a second update subunit.
  • the judging subunit is configured to determine whether the upper limit of the current unit volume of the current SKU product in each of the shelves of the current SKU product is smaller than the historical volume of the current SKU product. .
  • the candidate subunit is set to set the current unit volume of the current SKU product in the shelving position if the upper limit of the current unit volume of the current SKU product in the shelving position is less than the historical volume of the current SKU product.
  • the upper limit is used as a candidate volume.
  • the second update subunit is configured to select a candidate volume that meets a second preset standard from at least one candidate standard volume as the update volume of the current SKU product if there is at least one candidate volume.
  • the second obtaining unit may include a historical cargo position searching subunit, a historical volume upper limit determining subunit, and an initializing volume determining unit.
  • the historical cargo position search subunit is configured to search historical historical data from historical inventory data for the historical cargo position set involved in storing the current SKU product according to the current SKU.
  • the historical volume upper limit determination subunit is set to determine, for each historical cargo position in the historical cargo position set, according to the volume of the historical cargo position and the storage quantity of the current SKU product in the historical cargo position. The upper limit of the historical unit volume of the current SKU product on this historical location.
  • the initialization volume determining unit is configured to select, from the historical unit volume upper limit of the current SKU product in each historical cargo space, a historical unit volume upper limit that meets three preset standards as the initial volume of the current SKU product.
  • the device for determining the volume of a product provided in the embodiment of the present application can execute the method for determining the volume of a product provided in any of the embodiments of the present application, and has the functional modules and beneficial effects corresponding to the method for determining the volume of the product.
  • FIG. 11 is a schematic structural diagram of a computer device provided in Embodiment 10 of the present invention.
  • FIG. 11 shows a block diagram of an exemplary computer device 1112 suitable for use in implementing embodiments of the present invention.
  • the computer device 1112 shown in FIG. 11 is only an example, and should not impose any limitation on the functions and scope of use of the embodiments of the present invention.
  • the computer device 1112 is represented in the form of a general-purpose computing device.
  • the components of the computer device 1112 may include, but are not limited to, one or more processors or processing units 1116, a system memory 1128, and a bus 1118 connecting different system components (including the system memory 1128 and the processing unit 1116).
  • the bus 1118 represents one or more of several types of bus structures, including a memory bus or a memory controller, a peripheral bus, a graphics acceleration port, a processor, or a local area bus using any of a variety of bus structures.
  • these architectures include, but are not limited to, the Industry Standard Architecture (ISA) bus, the Micro Channel Architecture (MAC) bus, the enhanced ISA bus, the Video Electronics Standards Association (VESA) local area bus, and peripheral component interconnects ( PCI) bus.
  • Computer device 1112 typically includes a variety of computer system-readable media. These media can be any available media that can be accessed by computer device 1112, including volatile and non-volatile media, removable and non-removable media.
  • System memory 1128 may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 1130 and / or cache memory 1132.
  • the order supply and demand scheduling computer device 1112 may further include other removable / non-removable, volatile / nonvolatile computer system storage media.
  • the storage system 1134 can be used to read and write non-removable, non-volatile magnetic media (not shown in FIG. 11 and is commonly referred to as a "hard drive”).
  • a disk drive for reading and writing to a removable non-volatile disk such as a "floppy disk”
  • a removable non-volatile optical disk such as a CD-ROM, DVD-ROM, etc.
  • each drive may be connected to the bus 1118 through one or more data medium interfaces.
  • the memory 1128 may include at least one program product having a set (eg, at least one) of program modules configured to perform functions of embodiments of the present invention.
  • a program / utility tool 1140 having a set (at least one) of program modules 1142 may be stored in, for example, the memory 1128.
  • Such program modules 1142 include, but are not limited to, an operating system, one or more application programs, other program modules, and program data Each of these examples, or some combination, may include an implementation of a network environment.
  • the program module 1142 generally performs functions and / or methods in the embodiments described in the present invention.
  • the computer device 1112 may also communicate with one or more external devices 1114 (such as a keyboard, pointing device, display 1124, etc.), may also communicate with one or more devices that enable a user to interact with the computer device 1112, and / or with The computer device 1112 can communicate with any device (such as a network card, modem, etc.) that communicates with one or more other computing devices. This communication can be performed through an input / output (I / O) interface 1122. Moreover, the computer device 1112 can also communicate with one or more networks (such as a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) through the network adapter 1120. As shown in FIG.
  • LAN local area network
  • WAN wide area network
  • public network such as the Internet
  • the network adapter 1120 communicates with other modules of the computer device 1112 through the bus 1118. It should be understood that although not shown in FIG. 11, other hardware and / or software modules may be used in conjunction with the computer device 1112, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tapes Drives and data backup storage systems.
  • the processing unit 1116 executes various functional applications and data processing by running a program stored in the system memory 1128, for example, implementing a method for determining a product volume provided in an embodiment of the present invention.
  • the method includes:
  • For each on-shelf location in the on-shelf location set determine the current SKU product in the on-shelf location according to the on-site volume of the on-location location and the storage quantity of the current SKU product in the on-location location.
  • the eleventh embodiment of the present invention also provides a computer-readable storage medium on which a computer program is stored.
  • the program is executed by a processor, the method for determining a product volume as provided in the embodiment of the present invention is provided.
  • the method includes :
  • the computer storage medium in the embodiment of the present invention may adopt any combination of one or more computer-readable media.
  • the computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium.
  • the computer-readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof.
  • a computer-readable storage medium may be any tangible medium that contains or stores a program that can be used by or in combination with an instruction execution system, apparatus, or device.
  • the computer-readable signal medium may include a data signal propagated in baseband or transmitted as part of a carrier wave, which carries a computer-readable program code. Such a propagated data signal may take many forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the foregoing.
  • the computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, and the computer-readable medium may send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device. .
  • Program code embodied on a computer-readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
  • Computer program code for performing the operations of the present invention may be written in one or more programming languages, or combinations thereof, including programming languages such as Java, Smalltalk, C ++, and also conventional Procedural programming language—such as "C" or similar programming language.
  • the program code can be executed entirely on the user's computer, partly on the user's computer, as an independent software package, partly on the user's computer, partly on a remote computer, or entirely on a remote computer or server.
  • the remote computer can be connected to the user's computer through any kind of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computer (such as through an Internet service provider) Internet connection).
  • LAN local area network
  • WAN wide area network
  • Internet service provider Internet service provider

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Abstract

公开了一种订单处理方法以及装置、服务器及存储介质。其中，该方法包括：确定与订单关联的至少一种货物的实际体积，其中，每种货物的实际体积是依据货位中该种货物的历史最大存储数量及所述货位的体积确定的或周转箱中该种货物的存储数量及所述周转箱的体积确定的；依据与订单关联的至少一种货物的实际体积确定与订单关联的至少一种货物的总体积；依据与订单关联的至少一种货物的总体积及周转箱的体积，为所述订单分配周转箱。

Description

订单处理方法以及装置、商品体积推定方法及装置
本申请要求在2018年07月02日提交中国专利局、申请号为201810706714.2的中国专利申请的优先权，以及在2018年09月28日提交中国专利局、申请号为201811141989.2的中国专利申请的优先权，上述申请的全部内容通过引用结合在本申请中。
技术领域
本申请涉及物流仓储技术领域，例如涉及订单处理方法、装置、服务器及存储介质，以及涉及一种商品体积的推定方法、装置、计算机设备和存储介质。
背景技术
移动机器人拣选系统通过移动机器人搬运货架，将传统的“人到货”模式转变为“货到人”拣选，有效提升作业效率，降低人工成本，推进产能的提升，打破了传统的货物拣选模式，有效提升作业效率。但是随着机器人搬运效率的提高，机器人拣选系统为了适应各个行业的需要，也做了很多革新，人工从捡货站拣选到播种墙的效率直接影响到整个工作的拣选效率。
一方面，周转箱是拣货环节商品移动的载体，其移动速度及空溢程度决定了拣选的效率。人工在工作站捡货完成后将商品放入周转箱，一方面，如果周转箱比较空会浪费周转箱空间，增加周转箱的搬运次数，降低拣选效率。另一方面，如果周转箱放不下商品需要人工拆分周转箱，从而增加了人工的操作。
为了解决上述问题，目前主要采用直接量取的方法获取商品体积，依据周转箱体积和商品体积来为订单分配周转箱。该方法虽然在一定程度上降低了人工拆分周转箱的次数或周转箱不满的概率，但是由于商品的不规则或摆放方式的影响，仍然存在周转箱比较空或需要人工拆分周转箱处理的问题。因此，提供一种新的为订单分配周转箱的方法是十分必要的。
另一方面，在仓储物流行业的“货到人”机器人系统中，采用“仓库管理系统(Warehouse Management System，WMS)+机器人”的形式，由系统调度机器人搬运适当的货架进行拣货、上架、盘点等仓储操作。“货到人”机器人系统依托大数据和智能算法实现智能仓储，其中商品体积信息是仓储大数据中一种重要的基础信息，上架流程中的货位推荐、打包中的箱形推荐都需要相对准确的商品 体积信息。
目前，商品的体积信息的采集方式主要有上游供应商或货主传入、人工手动测量以及设备测量。上述各采集方式的弊端分别在于：第一种方式，上游供应商或货主传入商品体积信息时，可能无法提供完整的商品体积信息或者提供的商品体积信息不准确；第二种方式，采取人工手动测量商品体积时，会增加在仓库中的人工工作量，尤其对于新品入库频繁的仓库，人工测量时间长、频率高，占用人力严重；第三种方式，采取设备测量商品体积时，测量的成本较高，且与上游直接传入商品体积相比，还需要增加商品体积测量工序。
发明内容
本申请实施例提供订单处理方法、装置、服务器及存储介质，通过合理的为订单分配周转箱，减少了周转箱的搬运次数及人工拆箱操作，从而提高了拣选效率。
第一方面，本申请实施例提供了一种订单处理方法，该方法包括：
确定与订单关联的至少一种货物的实际体积，其中，每种货物的实际体积是依据货位中该种货物的历史最大存储数量及所述货位体的积确定的或周转箱中该种货物的存储数量及所述周转箱的体积确定的；
依据与订单关联的至少一种货物的实际体积确定与订单关联的至少一种货物的总体积；
依据与订单关联的至少一种货物的总体积及周转箱的体积，为所述订单分配周转箱。
第二方面，本申请实施例还提供了一种订单处理装置，该装置包括：
实际体积确定模块，设置为确定与订单关联的至少一种货物的实际体积，其中，每种货物的实际体积是依据货位中该种货物的历史最大存储数量及所述货位的体积确定的或周转箱中该种货物的存储数量及所述周转箱的体积确定的；
总体积确定模块，设置为依据与订单关联的至少一种货物的实际体积确定与订单关联的至少一种货物的总体积；
分配模块，设置为依据与订单关联的至少一种货物的总体积及周转箱的体积，为所述订单分配周转箱。
第三方面，本申请实施例还提供了一种服务器，该服务器包括：
一个或多个处理器；
存储装置，设置为存储一个或多个程序；
当所述一个或多个程序被所述一个或多个处理器执行，使得所述一个或多个处理器实现上述订单处理方法。
第四方面，本申请实施例还提供了一种存储介质，其上存储有计算机程序，该程序被处理器执行时实现上述订单处理方法。
本申请实施例提供的订单处理方法、装置、服务器及存储介质，通过依据货位中货物的历史最大存储数量及货位的体积活周转箱中货物的存储数量及周转箱的体积提供了货物的实际体积；将与订单关联的货物的实际体积进行组合得到总体积；依据总体积和周转箱的体积合理的为订单分配周转箱，避免了由于货物体积不准确造成的周转箱不满或溢出的现象，减少了周转箱的搬运次数及人工拆箱操作，从而提高了拣选效率。
第五方面，本申请实施例提供了一种商品体积的推定方法，该方法包括：
在检测到当前SKU商品有新的上架操作完成时，查找所述当前SKU商品在进行所述新的上架操作时所涉及的货位集合；
针对所述货位集合中的每一货位，依据该货位的货位体积和在该货位中所述当前SKU商品的存储数量，确定所述当前SKU商品在该货位中的当前单位体积上限；
依据所述当前SKU商品在每一货位上对应的当前单位体积上限，对所述当前SKU商品的历史体积进行更新。
第六方面，本申请实施例中还提供了一种商品体积确定装置，该装置包括：
上架货位查找模块，设置为在检测到当前SKU商品有新的上架操作完成的情况下，查找所述当前SKU商品在进行所述新的操作时所涉及的货位集合；
当前体积上限确定模块，设置为针对所述货位集合中的每一货位，依据该货位的货位体积和在该货位中所述当前SKU商品的存储数量，确定所述当前SKU商品在该货位中的当前单位体积上限；
体积更新模块，设置为依据所述当前SKU商品在每一货位上对应的当前单位体积上限，对所述当前SKU商品的历史体积进行更新。
第七方面，本申请实施例中还提供了一种计算机设备，该计算机设备包括：
一个或多个处理器；
存储装置，设置为存储一个或多个程序，
当所述一个或多个程序被所述一个或多个处理器执行，使得所述一个或多 个处理器实现如上所述的商品体积确定方法。
第八方面，本申请实施例中还提供了一种计算机可读存储介质，其上存储有计算机程序，该程序被处理器执行时实现如上所述的商品体积确定方法。
本申请实施例中提供了一种商品体积的推定方法、装置、计算机设备和存储介质，该方法包括：当检测到具备当前SKU的商品有新的上架操作完成时，查找具备所述当前SKU的商品在进行所述新的上架操作时所涉及的上架货位集，针对所述上架货位集中的每一上架货位，依据该上架货位的货位体积和具备所述当前SKU的商品在该上架货位的存放数量，确定具备所述当前SKU的商品在该上架货位上对应的当前单位体积上限，依据具备所述当前SKU的商品在每一上架货位上对应的当前单位体积上限，对具备所述当前SKU的商品的历史体积进行更新。本申请实施例的技术方案不仅能够实现对仓库中每种SKU的商品维护相对准确的商品体积，且通过本实施例的方案所推定的商品体积与实际测量的商品体积相比，本方案所推定的商品体积更能反映商品的空间占用情况，同时还能降低设备成本和人工成本。
上述申请内容仅是本申请技术方案的概述，为了能够更清楚了解本申请的技术手段，而可依照说明书的内容予以实施，并且为了让本申请的上述和其它目的、特征和优点能够更明显易懂，以下特举例本申请的具体实施方式。
附图概述
通过阅读参照以下附图所作的对非限制性实施例所作的详细描述，本申请的其它特征、目的和优点将会变得更明显：
图1是本申请实施例所适用的货物拣选系统的系统结构示意图；
图2是本申请实施例一中提供的一种订单处理方法的流程图；
图3是本申请实施例二中提供的一种订单处理方法的流程图；
图4是本申请实施例三中提供的一种订单处理方法的流程图；
图5是本申请实施例四中提供的一种订单处理装置的结构框图；
图6是本发明实施例五中提供的一种服务器的结构示意图；
图7是本发明实施例中提供的一种隔板货架的结构示意图；
图8是本发明实施例七中提供的一种商品体积的推定方法的流程示意图；
图9是本发明实施例八中提供的一种商品体积的推定方法的流程示意图；
图10是本发明实施例九中提供的一种商品体积的推定装置的结构示意图；
图11是本申请实施例十中提供的一种服务器的结构示意图。
具体实施方式
请参阅图1所示的货物拣选系统的系统结构示意图，货物拣选系统100包括：自驱动机器人10、控制系统20、货架区30以及拣选站40，货架区30设置有多个货架31，货架31上放置有各种货物，例如如同我们在超市中见到的放置有各种商品的货架一样，多个货架31之间排布成阵列形式。
控制系统20与自驱动机器人10进行无线通信，工作人员通过操作台60使控制系统20工作，自驱动机器人10在控制系统20的控制下，执行货物搬运任务。例如，自驱动机器人10可以沿货架阵列中的空着的空间(自驱动机器人10通行通道的一部分)行驶，运动到目标货架31的下方，利用举升机构举起目标货架31，并搬运到被分配到的拣选站40。在一个示例中，自驱动机器人10具有举升机构，以及具有自主导航功能，自驱动机器人10能够行驶至目标货架31下方，并利用举升机构将整个货架31举起，使得货架31能够随着具有升降功能的举升机构上下移动。在一个示例中，自驱动机器人10能够根据摄像头拍摄到的二维码信息向前行驶，并且能够根据控制系统20确定的路线行驶至控制系统20提示的货架31下面。自驱动机器人10将目标货架31搬运到拣选站40，在拣选站40处拣货人员41或拣选机器人从货架31上拣选货物并放入周转箱50中等待打包。
控制系统20为在服务器上运行的、具有数据存储、信息处理能力的软件系统，可通过无线或有线与机器人、硬件输入系统、其它软件系统连接。控制系统20可以包括一个或多个服务器，可以为集中式控制架构或者分布式计算架构。服务器具有处理器201和存储器202，在存储器202中可以具有订单池203。
为了提高拣选效率并且减少人工操作，目前主要采用直接量取的方法获取商品体积，依据周转箱体积和商品体积来为订单分配周转箱。该方法虽然在一定程度上降低了人工拆分周转箱的次数或周转箱不满的概率，但是由于商品的不规则或摆放方式的影响，仍然存在周转箱比较空或需要人工拆分周转箱处理的问题。
可见，是否获取准确的商品体积至关重要。因为周转箱的商品种类一般比较多，通过周转箱间接推算比较困难，但是货架上货位中的商品比较单一，可以引用货位中的商品数量推算商品体积。
图1中，多个货架31之间排布成阵列形式。通常，在货架区30的一侧设置有多个拣选站40。以图7所示的隔板货架为例，货架可以包括多个货位以及四个落地支撑柱，货架的货位上可以直接放置各种商品，货架对应的每个货位上可以放置一种或多种SKU的商品。
需要说明的是，库存量单位(Stock Keeping Unit，SKU)为库存进出计量的单位，可以是以件，盒，托盘等为单位。SKU是对于大型连锁超市配送中心(Distribution Center，DC)物流管理的一个必要的方法。本申请实施例中涉及到的SKU可以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。本实施例的SKU可以为理解为商品的统一编号或唯一标识号，通过各商品对应的SKU码可以识别各种商品的身份。
另外，以图1所示的货物拣选系统为例，在拣选站40处拣货人员41或拣选机器人从货架31上拣选货物并放入周转箱50之后，需要对放入周转箱的拣选货物进行打包处理。当对放入周转箱的拣选货物进行打包处理时，首先需要知道拣选货物的商品体积，才可以根据拣选货物的商品体积信息为拣选货物推荐相应的箱形。当然上述仅示例了对货物打包的流程，除了上述情况在货物上架中的货位推荐等流程中同样也需要知道货物的商品体积。然而相关采集方式(比如上游供应商或货主传入、人工手动测量、设备测量等方式)在确定商品体积时均存在一定的缺陷，导致许多仓库商品体积的维护处于低效的状态。因此，需要改进商品体积的确定方式，实现对仓库中每种SKU的商品维护相对准确的体积，并且可以降低设备成本和人工成本。
下面结合附图和实施例对本申请作进一步的详细说明。可以理解的是，此处所描述的实施例仅用于解释本申请，而非对本申请的限定。另外还需要说明的是，为了便于描述，附图中仅示出了与本申请相关的部分而非全部内容。
实施例一
图2为本申请实施例一提供的一种订单处理方法的流程图，本实施例适用于如何合理的为订单分配周转箱，以提高拣选效率的情况。该方法可以由本申请实施例提供的订单处理装置来执行，该装置可采用软件和硬件中至少之一的方式实现。参见图2，该方法包括：步骤S210、步骤S220和步骤S230。
在步骤S210中，确定与订单关联的至少一种货物的实际体积。
其中，每种货物的实际体积是依据货位中该种货物的历史最大存储数量及货位的体积确定的或周转箱中该种货物的存储数量及周转箱的体积确定的。
其中，与订单关联的货物可以是同种货物，也可以是多种货物；同种货物是指货物编号、属性等均完全相同的货物；例如，可以将一个货物大号和小号作为两种货物，如杯子。货物的实际体积与货物的真实体积的差值趋于零，因此货物的实际体积也可称为货物的真实体积。货位的体积是指货架上一个货位所能放置货物的最大容量。需要说明的是，用于存储货物的每个货架上有相同的货位个数，且相同规格货架上的每个货位的体积都相同。货位中货物的历史最大存储数量是指以前和现在存储一种货物的所有货架上每个货位中存储该货物数量最大的货位对应的存储数量，可通过遍历仓库中存储该货物的货架的货位得到。
在一实施例中，可采用货位进行估算确定货物的实际体积。例如，可将货位中货物的历史最大存储数量与货位的体积做除，来确定货物的实际体积。
周转箱是指用于盛放拣选货物的容器；周转箱的体积是指周转箱实际可容纳货物的体积，是固定设置的且精度高，其有效可利用体积限定了货物的个数和订单数量，即一个周转箱内可以放置一个或多个订单中所有的货物。为了后续的打包工作，在一实施例中，智能拣选系统将订单与周转箱进行绑定。周转箱中货物的存储数量是指一个周转箱中存储货物的最大存储数量，即放满货物的数量。
为了减少操作，进一步提高货物实际体积的准确性，当周转箱中仅存储有同种货物时，也可采用周转箱计算货物的实际体积。在一实施例中，可将周转箱中货物的存储数量与周转箱的体积做除，来确定货物的实际体积。
在一实施例中，采用货位确定的货物的实际体积可能与采用周转箱确定的货物的实际体积相同，也可以不同。
需要说明的是，每个货物在入仓时，都配置有一个基础表，用于存储货物的货架货位、基础体积值等。其中，货物的基础体积值可以通过供应商与智能拣选系统的接口进行通信而得到；也可以是智能拣选系统依据货物类型，从货物统计表中读取货物类型的平均体积值，并将读取结果放入对应的货物的基础表中。
货物的基础表中的基础体积可依据实际情况动态调整。在一实施例中，当依据货位或周转箱确定了货物的实际体积后，可采用该体积更新货物的基础表，并在基础表中标注当前所确定的体积的可信度值，以便明确货物实际体积的准确性。
由于周转箱的体积的精度高，可知依据周转箱确定的货物的实际体积的可信度值大于依据货位确定的货物的实际体积的可信度值，依据货位确定的货物的实际体积的可信度值大于货物的基础体积值的可信度值。在一实施例中，可将依据周转箱确定的货物的实际体积的可信度值设置为1；将依据货位确定的货物的实际体积的可信度值设置为0.8；将货物的基础体积值的可信度值设置为0.3。
在一实施例中，当获取到订单后，可依据订单信息，从与订单关联的货物的基础表中获取货物的实际体积。例如有以下几种情况：第一，若历史订单中所有货物完全包含当前订单中的所有货物，则说明当前与订单关联货物的基础表中存储的是货物的实际体积，可直接从对应的基础表中获取；第二，若历史订单中所有货物未包含当前与订单关联的货物，则说明该当前订单中有新的货物的实际体积未确定，且有不同种货物，此时可采用货位中货物的历史最大存储数量及货位的体积确定；第三，若历史订单中所有货物均未包含当前与订单关联的货物，且当前货物是同种类型的货物，则可采用货位中货物的历史最大存储数量及货位的体积确定或周转箱中货物的存储数量及周转箱的体积确定的。
在步骤S220中，依据与订单关联的至少一种货物的实际体积确定与订单关联的至少一种货物的总体积。
其中，总体积是将订单内所有货物的实际体积进行组合得到的。
在步骤S230中，依据与订单关联的至少一种货物的总体积及周转箱的体积，为订单分配周转箱。
其中，周转箱的体积是指周转箱实际可容纳货物的体积，即有效可利用的体积。
在一实施例中，依据订单信息、订单内货物的数量、订单内货物的实际体积、订单创建时间及优先级等，确定订单，该订单可以是单独一个或多个订单的组合。将与订单关联的所有货物的总体积与周转箱的体积进行比较；若与订单关联的所有货物的总体积是周转箱的整数倍，则为订单分配周转箱；若不等，则重新进行订单处理并为该订单分配周转箱。
需要说明的是，实际情况下一个订单对应一个周转箱，但是当单独一个订单中货物的总体积大于周转箱的体积时，为了避免出现周转箱不满或货物溢出的现象，可将一个或多个订单与该订单进行组合，使其总体积等于周转箱的整数倍，之后再为该订单分配周转箱。
本申请实施例提供的订单处理方法，通过依据货位中货物的历史最大存储 数量及货位的体积或周转箱中货物的存储数量及周转箱的体积提供了货物的实际体积；将与订单关联的货物的实际体积进行组合得到总体积；依据总体积和周转箱的体积合理的为订单分配周转箱，避免了由于货物体积不准确造成的周转箱不满或溢出的现象，减少了周转箱的搬运次数及人工拆箱操作，从而提高了拣选效率。
实施例二
图3为本申请实施例二提供的一种订单处理方法的流程图，该实施例对何时采用周转箱确定货物的实际体积进行解释说明。参见图3，该方法包括：步骤S310至步骤S350。
在步骤S310中，确定与订单关联的至少一种货物的实际体积。
其中，每种货物的实际体积是依据货位中该种货物的历史最大存储数量及货位的体积确定的或周转箱中该种货物的存储数量及周转箱的体积确定的。
在步骤S320中，依据与订单关联的至少一种货物的实际体积确定与订单关联的货物的总体积。
在步骤S330中，依据与订单关联的至少一种货物的总体积及周转箱的体积，为订单分配周转箱。
在步骤S340中，若一种货物的实际体积是依据货位中该种货物的历史最大存储数量及货位的体积确定的，且在分配一个周转箱后接收到拆箱指令，则依据周转箱中关于该种货物的存储数量及周转箱的体积，确定该种货物的实际体积。
其中，拆箱指令是用于指示货物拣选系统统计当前周转箱内货物的数量，并依据周转箱的体积和货物的数量，确定货物的实际体积。
当获取到订单后，若依据订单信息，从与订单关联的货物的基础表中获取的货物的实际体积的可信度值是0.8时，可确定当前货物的实际体积是依据货位确定的。此时，若依据该货物的实际体积确定的货物的总体积大于或小于周转箱的体积，且与订单关联的货物是同种货物，为了减少周转箱的搬运次数，提高拣选效率，可采用周转箱重新计算货物的实际体积。
在一实施例中，拣选工作站配置有触摸显示屏，该显示屏上有手动拆箱按钮，当拣选人员放满一个周转箱后，点击屏幕上的手动拆箱按钮，货物拣选系统就会自动读取并计算该周转箱内货物的实际体积，并将其计算结果更新到该 货物的基础表中，且将货物的基础表中标注的可信度值更新为1。
需要说明的是，若从与订单关联的货物的基础表中获取的货物的实际体积的可信度值是0.8时，且依据该货物的实际体积确定的货物的总体积等于周转箱的体积，与订单关联货物是同种货物，则将与订单关联的货物的基础表中标注的可信度值更新为1。
在步骤S350中，依据采用周转箱中关于该种货物的存储数量及所述周转箱的体积确定的该种货物的实际体积，更新采用货位中该种货物的历史最大存储数量及所述货位的体积确定的该种货物的实际体积。
在一实施例中，用依据周转箱中货物的存储数量及周转箱的体积确定的货物的实际体积替换依据货位中货物的历史最大存储数量及货位的体积确定的货物的实际体积；在一实施例中，例如可以更新货物实际体积的可信度值。
本申请实施例提供的订单处理方法，在为订单分配周转箱之后，若存在依据货位确定的货物的实际体积及货物的总体积大于或小于周转箱的体积现象，且与订单关联的货物是同种货物，可采用周转箱重新计算货物的实际体积，以得到更为准确的货物的实际体积，从而减少周转箱的搬运次数，提高拣选效率。
实施例三
图4为本申请实施例三提供的一种订单处理方法的流程图，该实施例以历史订单未完全包含与当前订单关联的货物，即订单中有新的货物的实际体积未确定为例，对新货物的实际体积的确定进行了详细的解释说明。参见图4，该方法包括：步骤S410至步骤S460。
在步骤S410中，遍历仓库中位于货架的货位上的该种货物，确定存储该种货物数量最多的货位以及货位中该种货物的当前最大储存数量。
在一实施例中，为了提高服务器的运行速度，可通过设置系统参数，如时间，可以在每天或周期性的没有进行订单处理时执行遍历。通过依次遍历仓库中与订单关联的每种货物，可得到存储每种货物的货架的货位中存储该种货物数量最多的货位及货位中货物的当前最大储存数量。依据时间将存储货物数量最多的货位、货物编号及存储货物数量存储在本地。
在步骤S420中，若存储货位中该种货物的当前最大储存数量大于该种货物的历史最大存储数量，则依据该种货物的当前最大储存数量更新该种货物的历史最大存储数量并存储。
其中，货物的历史最大存储数量是指以前和现在存储一种货物的所有货架上的货位中存储该种货物数量最大的货位对应的存储数量。当货物的当前最大存储数量大于货物的历史最大存储数量时，用货物的当前最大存储数量对应的值替换货物的历史最大存储数量对应的值，并存储在本地。
在一实施例中，当货物的当前最大存储数量小于货物的历史最大存储数量时，不进行任何操作。
在步骤S430中，确定存储该种货物数量最多的货位的有效空间体积。
由于每个货架上的货位都是相同，且货位的体积是固定的。当存储货物数量最多的货位盛满货物时，在精度要求不高的情况下，可直接将货位的体积确定为存储货物数量最多的货位的有效空间体积。
但是，由于货位本身的限制使货位空间不能100％被利用，因此，可依据货位的空间使用率来确定存储货物数量最多的货位的有效空间体积。
在一实施例中，确定存储货物数量最多的货位的有效空间体积可以包括：根据存储货物数量最多的货位的体积以及预置的货位有效空间使用率的阈值，计算存储货物数量最多的货位的有效空间体积。
其中，货位的有效空间体积是指货位所能容纳货物的空间体积；货位有效空间使用率的阈值是预先依据实际情况设置的，包括货位空间所能容纳货物的最大上限值和最小下限值，可以采用直接测量的方法得到，也可以通过系统依据先前的经验设置阈值。在一实施例中，货位有效空间使用率的最大上限值可以是98％，最小下限值可以是0。
在步骤S440中，依据该种货物的历史最大存储数量及存储该种货物数量最多的货位的有效空间体积，确定该种货物的体积值，并将该种货物的体积值作为货物的实际体积。
在一实施例中，将货物的历史最大存储数量与存储货物数量最多的货位的体积做除，可得到货物的体积值。在一实施例中，将货物的体积值确定为货物的实际体积，更新货物的基础表中的基础体积值及可信度值并进行存储。
为了减少操作，例如将货物的体积值确定为货物的实际体积还可以通过如下步骤：确定货物的基础体积值；将货物的体积值与货物的基础体积值进行比对，若不一致，则将货物的体积值作为货物的实际体积。
其中，货物的基础体积值是货物的初始体积，预先存储在该货物的基础表中，可以通过如下两种方式获取到：第一，接收货物的体积字段信息，依据体 积字段信息初始化货物的基础体积值；第二，依据货物的货物类型，从货物统计表中获取货物类型的平均体积值，并依据货物类型的平均体积值初始化货物的基础体积值。
体积字段信息是指供应商以一定的字段格式提供的智能拣选系统能够识别的信息，该信息中可包括各种货物的体积。智能拣选系统通过固定接口与供应商进行通信接收到该体积字段信息后，通过解码、解密或解压等处理得到各种货物的基础体积。若体积字段信息中某种货物的体积为空或者接收到的体积字段信息为空时，智能拣选系统则会依据货物类型，从货物统计表中读取该货物类型的平均体积值，并将读取结果放入对应的各种货物的基础表中，以初始化各种货物的基础体积值。其中，货物类型是指型号、货物编码及属性等。货物统计表是指供应商提供的记录货物相关信息的表。
在一实施例中，将遍历得到的货物的体积值与货物的基础表中的基础体积值进行比对，若一致，则将货物的基础体积值确定为货物的实际体积，只需将基础表中当前标注的可信度值更新为0.8；若不一致，则用货物的体积值替换货物的基础体积值，作为货物的实际体积，并将基础表中当前标注的可信度值更新为0.8。
在步骤S450中，依据与订单关联的至少一种货物的实际体积确定与订单关联的货物的总体积。
在步骤S460中，依据与订单关联的至少一种货物的总体积及周转箱的体积，为订单分配周转箱。
本申请实施例提供的订单处理方法，通过遍历仓库中位于货架的货位上的货物得到存储货物数量最多的货位及货位中货物的当前最大储存数量，将存储货物的当前最大储存数量与货物的历史最大存储数量进行比对，更新货物的历史最大存储数量；依据货物的历史最大存储数量、货位的体积及基础体积值，即可得到货物的实际体积。避免了现有技术通过直接量取获取货物实际体积的方法中，由于货物不规则或摆放模式等问题，导致最终货物的实际体积计算不准确的现象。同时，将与订单关联的货物的实际体积进行组合得到总体积；依据总体积和周转箱的体积合理的为订单分配周转箱，避免了由于货物体积不准确造成的周转箱不满或溢出的现象，减少了周转箱的搬运次数及人工拆箱操作，从而提高了拣选效率。
在一实施例中，在为订单分配周转箱之后，若依据货位确定的货物的实际 体积及货物的总体积大于或小于周转箱的体积，也可采用拆箱，用周转箱的体积及周转箱内其它已确定货物的总体积计算新货物的实际体积。
需要说明的是，若历史订单中完全没有包含与当前订单关联的货物，且与当前订单关联的货物是同种货物，在采用步骤S410至S460为订单分配周转箱之后，若依据货位确定的货物的实际体积及货物的总体积大于或小于周转箱的体积，则可采用周转箱重新确定货物的实际体积，并用依据周转箱确定的货物的实际体积替换依据货位确定的货物的实际体积。
实施例四
图5为本申请实施例四提供的一种订单处理装置的结构框图，该装置可执行本申请任意实施例所提供的订单处理方法，具备执行方法相应的功能模块和有益效果。如图5所示，该装置可以包括：实际体积确定模块510、总体积确定模块520和分配模块530。
实际体积确定模块510，设置为确定与订单关联的至少一种货物的实际体积，其中每种货物的实际体积是依据货位中该种货物的历史最大存储数量及货位的体积确定的或周转箱中该种货物的存储数量及周转箱的体积确定的。
总体积确定模块520，设置为依据与订单关联的至少一种货物的实际体积确定与订单关联的货物的总体积。
分配模块530，设置为依据与订单关联的至少一种货物的总体积及周转箱的体积，为订单分配周转箱。
本申请实施例提供的订单处理装置，通过依据货位中各种货物的历史最大存储数量及货位的体积或周转箱中货物的存储数量及周转箱的体积提供了货物的实际体积；将与订单关联的货物的实际体积进行组合得到总体积；依据总体积和周转箱的体积合理的为订单分配周转箱，避免了现有技术中由于货物体积不准确造成的周转箱不满或溢出的现象，减少了周转箱的搬运次数及人工拆箱操作，从而提高了拣选效率。
在一实施例中，实际体积确定模块510可以设置为：若一种货物的实际体积是依据货位中该种货物的历史最大存储数量及货位的体积确定的，且在分配一个周转箱后接收到拆箱指令，则依据周转箱中关于该种货物的存储数量及周转箱的体积，确定该种货物的实际体积。
在一实施例中，上述装置还可以包括：实际体积更新模块。
实际体积更新模块，设置为依据采用周转箱中关于该种货物的存储数量及所述周转箱的体积确定的该种货物的实际体积，更新采用货位中该种货物的历史最大存储数量及所述货位的体积确定的该种货物的实际体积。
在一实施例中，实际体积确定模块510还可以包括：货位数量确定单元、存储数量更新单元、货位体积确定单元和实际体积确定单元。
货位数量确定单元，设置为遍历仓库中位于货架的该种货位上的货物，确定存储该种货物数量最多的货位以及货位中该种货物的当前最大存储数量；
存储数量更新单元，设置为若该种货物的当前最大存储数量大于货物的历史最大存储数量，则依据该种货物的当前最大存储数量更新该种货物的历史最大存储货物数量并保存；
货位体积确定单元，设置为确定存储该种货物数量最多的货位的有效空间体积；
实际体积确定单元，设置为依据该种货物的历史最大存储数量及存储该种货物数量最多的货位的有效空间体积，得到货物的体积值，并将该种货物的体积值作为该种货物的实际体积值。
在一实施例中，上述装置还可以包括：基础体积确定模块和实际体积确定模块。
基础体积确定模块，设置为确定该种货物的基础体积值；
实际体积确定模块，还设置为将货物的体积值与货物的基础体积值进行比对，若不一致，则根据该种货物的体积值更新该种货物的基础体积值。
在一实施例中，货位体积确定单元设置为：
根据存储该种货物数量最多的货位的体积以及预置的货位有效空间使用率的阈值，确定存储该种货物数量最多的货位的有效空间体积。
在一实施例中，基础体积确定模块设置为：
接收该种货物的体积字段信息，依据该种体积字段信息初始化该种货物的基础体积值；或依据该种货物的货物类型，从货物统计表中获取货物类型的平均体积值，并依据货物类型的平均体积值初始化该种货物的基础体积值。
实施例五
图6为本申请实施例五提供的一种服务器的结构示意图。图6示出了适于用来实现本申请实施方式的示例性服务器612的框图。图6显示的服务器612 仅仅是一个示例，不应对本申请实施例的功能和使用范围带来任何限制。
如图6所示，该服务器612以通用计算设备的形式表现。该服务器612的组件可以包括但不限于：一个或者多个处理器或者处理单元616，系统存储器628，连接不同系统组件(包括系统存储器628和处理单元616)的总线618。
总线618表示几类总线结构中的一种或多种，包括存储器总线或者存储器控制器，外围总线，图形加速端口，处理器或者使用多种总线结构中的任意总线结构的局域总线。举例来说，这些体系结构包括但不限于工业标准体系结构(Industry Standard Architecture，ISA)总线，微通道体系结构(Micro Channel Architecture，MCA)总线，增强型ISA总线、视频电子标准协会(Video Electronics Standards Association，VESA)局域总线以及外围组件互连(Peripheral Component Interconnect，PCI)总线。
服务器612典型地包括多种计算机系统可读介质。这些介质可以是任何能够被服务器612访问的可用介质，包括易失性和非易失性介质，可移动的和不可移动的介质。
系统存储器628可以包括易失性存储器形式的计算机系统可读介质，例如随机存取存储器(Random Access Memory，RAM)630和/或高速缓存存储器632。服务器612可以进一步包括其它可移动/不可移动的、易失性/非易失性计算机系统存储介质。仅作为举例，存储系统634可以用于读写不可移动的、非易失性磁介质(图6未显示，通常称为“硬盘驱动器”)。尽管图6中未示出，可以提供用于对可移动非易失性磁盘(例如“软盘”)读写的磁盘驱动器，以及对可移动非易失性光盘(例如只读光盘(Compact Disc Read-Only Memory，CD-ROM),DVD-ROM或者其它光介质)读写的光盘驱动器。在这些情况下，每个驱动器可以通过一个或者多个数据介质接口与总线618相连。系统存储器628可以包括至少一个程序产品，该程序产品具有一组(例如至少一个)程序模块，这些程序模块被配置以执行本申请各实施例的功能。
具有一组(至少一个)程序模块642的程序/实用工具640，可以存储在例如系统存储器628中，这样的程序模块642包括但不限于操作系统、一个或者多个应用程序、其它程序模块以及程序数据，这些示例中的每一个或某种组合中可能包括网络环境的实现。程序模块642通常执行本申请所描述的实施例中的功能和/或方法。
服务器612也可以与一个或多个外部设备614(例如键盘、指向设备、显示 器624等)通信，还可与一个或者多个使得用户能与该设备交互的设备通信，和/或与使得该服务器612能与一个或多个其它计算设备进行通信的任何设备(例如网卡，调制解调器等等)通信。这种通信可以通过输入/输出(I/O)接口622进行。并且，服务器612还可以通过网络适配器620与一个或者多个网络(例如局域网(Local Area Network，LAN)，广域网(Wide Area Network，WAN)和/或公共网络，例如因特网)通信。如图所示，网络适配器620通过总线618与服务器612的其它模块通信。应当明白，尽管图中未示出，可以结合服务器612使用其它硬件和/或软件模块，包括但不限于：微代码、设备驱动器、冗余处理单元、外部磁盘驱动阵列、磁盘阵列(Redundant Arrays of Independent Disks，RAID)系统、磁带驱动器以及数据备份存储系统等。
处理单元616通过运行存储在系统存储器628中的程序，从而执行各种功能应用以及数据处理，例如实现本申请实施例所提供的订单处理方法。
实施例六
本申请实施例六还提供了一种计算机可读存储介质，其上存储有计算机程序，该程序被处理器执行时可实现上述实施例中任意的订单处理方法。
本申请实施例的计算机存储介质，可以采用一个或多个计算机可读的介质的任意组合。计算机可读介质可以是计算机可读信号介质或者计算机可读存储介质。计算机可读存储介质例如可以是但不限于：电、磁、光、电磁、红外线、或半导体的系统、装置或器件，或者任意以上的组合。计算机可读存储介质的更具体的例子(非穷举的列表)包括：具有一个或多个导线的电连接、便携式计算机磁盘、硬盘、随机存取存储器(RAM)、只读存储器(ROM)、可擦式可编程只读存储器(可擦除可编程只读存储器(Erasable Programmable Read Only Memory，EPROM)或闪存)、光纤、便携式紧凑磁盘只读存储(CD-ROM)、光存储器件、磁存储器件、或者上述的任意合适的组合。在本文件中，计算机可读存储介质可以是任何包含或存储程序的有形介质，该程序可以被指令执行系统、装置或者器件使用或者与其结合使用。
计算机可读的信号介质可以包括在基带中或者作为载波一部分传播的数据信号，其中承载了计算机可读的程序代码。这种传播的数据信号可以采用多种形式，包括但不限于电磁信号、光信号或上述的任意合适的组合。计算机可读的信号介质还可以是计算机可读存储介质以外的任何计算机可读介质，该计算 机可读介质可以发送、传播或者传输用于由指令执行系统、装置或者器件使用或者与其结合使用的程序。
计算机可读介质上包含的程序代码可以用任何适当的介质传输，包括但不限于：无线、电线、光缆、射频(Radio Frequency，RF)等等，或者上述的任意合适的组合。
可以以一种或多种程序设计语言或其组合来编写用于执行本申请操作的计算机程序代码，所述程序设计语言包括面向对象的程序设计语言—诸如Java、Smalltalk、C++，还包括常规的过程式程序设计语言—诸如“C”语言或类似的程序设计语言。程序代码可以完全地在用户计算机上执行、部分地在用户计算机上执行、作为一个独立的软件包执行、部分在用户计算机上部分在远程计算机上执行、或者完全在远程计算机或服务器上执行。在涉及远程计算机的情形中，远程计算机可以通过任意种类的网络包括局域网(LAN)或广域网(WAN)连接到用户计算机，或者，可以连接到外部计算机(例如利用因特网服务提供商来通过因特网连接)。
在上述实施例中，所述确定该种货物的基础体积值的示例性说明方案，包括：在检测到该种货物有新的上架操作完成的情况下，查找该种货物在进行所述新的上架操作时所涉及的上架货位集；针对所述上架货位集中的每一上架货位，依据该上架货位的货位体积和该种货物在该上架货位的存放数量，确定该种货物在该上架货位上对应的当前单位体积上限；依据该种货物在每一上架货位上对应的当前单位体积上限，对该种货物的基础体积值进行更新。
实施例七
图8是本申请实施例七中提供的一种商品体积的推定方法的流程示意图，本申请实施例中的商品体积的推定方法可应用于实时维护货架上商品体积进行维护的情况，该方法可由商品体积的推定装置来执行，该装置可以采用软件和硬件中至少之一的方式实现，该装置可以集成在任何具有网络通信功能的用于进行商品体积推定的计算机设备中。如图8所示，本申请实施例中的商品体积的推定方法可以包括：步骤801、步骤802和步骤803。
在步骤801、当检测到当前SKU商品有新的上架操作完成时，查找当前SKU商品在进行新的上架操作时所涉及的上架货位集。其中，本实施例中的“上架货位集”也即“货位集合”。
在本申请实施例中，仓库中的各商品可以被存储在各个货架的货位上，比 如，同一种商品可以被分散存储在同一货架的同一货位上，可以被分散存储在同一货架的不同货位上，也可以被分散存储在不同货架的不同货位上。为了更好地管理存储在各个货架的货位上的各种商品，可以为存储在各个货架的货位上的各种商品创建对应的SKU码。其中，每一种商品可以对应有唯一的SKU码，SKU码可以为理解为商品的统一编号或唯一标识号，通过各商品对应的SKU码可以识别各种商品的身份。该当前SKU商品有新的上架操作可以理解为除了预先存储在各个货架货位上的当前SKU商品，又有新的当前SKU商品存储在仓库中的各货架货位上；或者，还可以理解为预先存储在各个货架货位上的当前SKU商品中，存在将部分当前SKU商品从在预先存储当前SKU商品时所使用的货架货位上重新存储到仓库的其他货架的货位上。例如，仓库的货位上存放有具备SKU1的商品，当仓库的货位中存在一个或多个货位上再次增加存放具备SKU1的商品时，可以理解为具备SKU1的商品有新的上架操作，新增加的商品具备相同的SKU，即也具备SKU1。当然，并不是所有的货位上均会新增加具备SKU1的商品，可以是从仓库的货位中选出一个或多个进行存放，即查找出新的上架操作时所涉及的上架货位。
在本申请实施例中，当前SKU商品在新的上架操作完成时，具备当前SKU的各个新上架商品可能被集中存储在同一个货架的同一个货位上，也可能被分散存储在同一货架的不同货位上，还可能被分散存储在不同货架的不同货位上。并且，当新上架商品存储在不同货位上时，可能只涉及使用部分货架的部分货位。基于上述情况，当检测到当前SKU商品有新的上架操作完成时，可以查找当前SKU商品在上架操作时所涉及的上架货位集。其中，该上架货位集可以包括一个或者多个上架货位，当前SKU商品在上架操作时所涉及的上架货位集可以理解为当当前SKU商品的新上架操作完成时，具备当前SKU的新上架商品在进行上架存储时所使用的货架货位的集合。
在一实施例中，以仓库中设置有第一货架、第二货架和第三货架为例，第一货架上可以包括G11货位、G12货位以及G13货位，第二货架上可以包括G21货位、G22货位以及G23货位，第三货架上可以包括G31货位、G32货位以及G33货位。其中，G11货位、G22货位以及G33货位上存储有具备当前SKU1的A商品。当检测到具备当前SKU1的A商品有新的上架操作完成时，可以表示除了预先存储在G11货位、G22货位以及G33货位上的具备当前SKU1的A商品以外，又有新的具备当前SKU1的A商品存储到货架1、货架2或货架3 中的一个或多个货位上；和/或，还可以表示在G11货位、G22货位以及G33货位上的具备当前SKU1的A商品中，存在一个或多个具备当前SKU1的A商品从预先存储当前SKU1的A商品时所使用的G11货位、G22货位以及G33货位重新存储仓库的其他货架的货位上；和/或，还可以表示在G11货位、G22货位以及G33货位上的具备当前SKU1的A商品中，存在一个或多个具备当前SKU1的A商品在G11货位、G22货位以及G33货位之间相互调换。针对上述情况，无论是当存在新的具备当前SKU1的A商品进行存储时所使用的仓库货位，还是当具备当前SKU的A商品从预先存储的G11货位、G22货位或G33货位调换到其他货位上进行重新存储所使用的货位，均可以理解为具备当前SKU1的A商品在新的上架操作时所涉及的上架货位集。
在本申请实施例中，当商品在货架的货位上进行架存储之后，可以生成商品对应的商品信息(包括但不限于商品的SKU码)与存储商品时所使用货位的货位信息之间商品货位信息映射表。其中，通过该商品货位信息映射表可以在任一货架的任一货位上查找与该货架的货位信息对应的商品信息，也可以依据任一商品信息查找存储该商品时所使用货位的货位信息。根据商品货位信息映射表可以确定哪些SKU的商品存在新的上架操作完成的事件，以及发生新的上架操作完成时各SKU的商品所使用货位的货位信息。在一实施例中，当检测到当前SKU商品有新的上架操作完成时，可以依据当前SKU在商品货位信息映射表中查找当前SKU商品在上架操作时所涉及的上架货位集。其中，商品货位信息映射表可以包括：各商品对应的商品信息与存储商品时所使用货位的货位信息之间映射关系。
在步骤802中，针对所述上架货位集中的每一上架货位，依据该上架货位的货位体积和在该上架货位中所述当前SKU商品的存储数量，确定所述当前SKU商品在该上架货位中的当前单位体积上限。
在本申请实施例中，当前单位体积上限可以理解为单个当前SKU商品在该上架货位上使用时所能占用该货架的货位空间体积的上限值。在确定当前SKU商品在该上架货位上对应的当前单位体积上限时，可以理解为按照该上架货位上的库存计算当前SKU商品在该上架货位上对应的当前单位体积上限值。通俗点讲，当前单位体积上限可以为该上架货位的货位体积与该上架货位上所存储的当前SKU商品的数量之间的比值。另外，由于该上架货位上不仅可以存储有当前SKU商品，还可以存储其他SKU的商品。因此，该上架货位上存储的当 前SKU商品实际总体积(各个当前SKU商品的真实体积之和)小于该上架货位的货位体积。依据该上架货位的货位体积和当前SKU商品在该上架货位的数量所确定的当前SKU商品在该上架货位上对应的当前单位体积上限实际上大于当前SKU商品的真实体积。另外，由于当前SKU商品的形状、是否可以积压或者摆放方式等因素，均可以影响当前SKU商品在上架货位上存放时所占用的空间体积，从而造成当前SKU商品在上架货位上存放时所占用的空间体积小于当前SKU商品未存放于上架货位上时的三维体积。例如，当前SKU商品在上架货位上被挤压后存放，此时，当前SKU商品在上架货位上实际占用的空间体积小于在空间中的自身三维体积。
在一实施例中，以上架货位集包含有第一货架、第二货架和第三货架为例，假设G11货位、G22货位以及G33货位等上架货位的货位体积均设置为V，且G11货位上存储的具备当前SKU1的A商品的数量为10、G22货位上存储的具备当前SKU1的A商品的数量为30、G33货位上存储的具备当前SKU1的A商品的数量为100。此时，具备当前SKU1的A商品在G11货位上对应的当前单位体积上限为：V/10，具备当前SKU的A商品在G22货位对应的当前单位体积上限为：V/30，具备当前SKU的A商品在G33货位对应的当前单位体积上限为：V/100。需要注意的是，V/10、V/30和V/100实际上均大于当前SKU商品的真实体积。可以理解的是，各个货架上的各个货位可以具有相同的货位体积，也可以具有不同的货位体积。
在本申请实施例中，只有当上架货位上存储的当前SKU商品的数量尽可能多时，比如上架货位上仅存储当前SKU商品，且当前SKU商品尽可能填满该上架货位时，此时，该上架货位上所存储的当前SKU商品的实际总体积才会逐渐逼近该上架货位的货位体积，进而使得依据该上架货位的货位体积和在该上架货位上存储的当前SKU商品的数量所确定当前单位体积上限逐渐逼近当前SKU商品的真实体积。另外，考虑到在实际场景中，上架货位无法填满当前SKU商品，且在上架货位上不留任何缝隙，因此，无论当前单位体积上限如何逼近当前SKU商品的真实体积，当前单位体积上限始终大于当前SKU商品的真实体积。
在本申请实施例中，当当前SKU商品有新的上架操作时，新上架的当前SKU商品可能会分散存储在不同的货位上，因此在确定当前SKU商品在该上架货位的当前单位体积上限的时候，需要针对上架货位集中的每一上架货位，均执行 依据该上架货位的货位体积和当前SKU商品在该上架货位的数量，确定当前SKU商品在该上架货位的当前单位体积上限。另外，为了计算当前SKU商品在该上架货位的当前单位体积上限，可以先获取当前SKU商品存储在该上架货位上的全部数量，以及获取该上架货位的货位体积。
在本申请实施例的一种可选实施方式中，依据该货位的货位体积和当前SKU商品在该货位中的所述当前SKU商品的存储数量，确定当前SKU商品在该货位中的当前单位体积上限，可以包括：步骤802a和步骤802b。
在步骤802a中，确定当当前SKU商品使用该货位时该上架货位的装填率。
在步骤802b中，依据该货位的货位体积、在该货位中的所述当前SKU商品的存放存储数量以及该货位的装填率，确定当前SKU商品在该上架货位上对应的当前单位体积上限；其中，该当前单位体积上限大于当前SKU商品的真实体积。
其中，本申请实施例中的“装填率”也即“有效空间使用率”。
在本实施方式中，一般的情况下，由于防止商品从上架货位上掉落、上架货位最里层装填商品难度大，以及商品在上架货位上摆放有空隙等原因，上架货位不可能被商品百分之百填满，因此在使用上架货位存储商品时无法充分使用该上架货位的货位体积，从而导致在仅依据该上架货位的货位体积和当前SKU商品在该上架货位的数量情况下，确定的当前单位体积上限无法很好地逼近当前SKU商品的真实体积。为此，在确定当前SKU商品在该上架货位的当前单位体积上限的时候，需要对该上架货位的货位体积打个折扣。基于上述情况，本实施方式中引入了当前SKU商品所使用的该上架货位的装填率，当确定当前SKU商品在该上架货位的当前单位体积上限时，不仅考虑了该上架货位的货位体积和当前SKU商品在该上架货位的数量，还考虑了当前SKU商品所使用的该上架货位的装填率，使得计算得到的当前SKU商品在该上架货位的当前单位体积上限更接近当前SKU商品的真实体积。其中，该上架货位的装填率小于或等于1，该上架货位的装填率可以依据上架货位上放置的商品的形状与上架货位实际结构特征之间的关联关系进行确定。如果上架货位上放置的商品的形状与上架货位实际结构特征匹配度稿，上架货位上可以放置更多的商品，此时设置该上架货位的装填率越大；反之，则设置该上架货位的装填率越小。
在本实施方式中，例如，以上架货位集包含的货位33为例，货位33的货位体积均设置为V，且货位33上存储的当前SKU商品的数量为N，当前SKU 商品所使用的货位33的装填率为R，此时，可以依据当前单位体积上限＝(上架货位的货位体积V)·(上架货位的装填率R)/(上架货位上存储的当前SKU商品的数量N)，计算当前SKU商品在该上架货位的当前单位体积上限；其中，该当前单位体积上限大于当前SKU商品的真实体积，上架货位的装填率R小于或等于1。
在步骤803中，依据当前SKU商品在每一上架货位上对应的当前单位体积上限，对当前SKU商品的历史体积进行更新。
其中，“当前SKU商品的历史体积”也即上述实施例中的“该种货物的基础体积值”。
在本申请实施例中，由于无论是当前SKU商品在每一上架货位的当前单位体积上限，还是当前SKU商品的历史体积，均大于当前SKU商品的真实体积。为此，本实施例中商品体积确定方法的核心思想是：在当前SKU商品在每一上架货位的当前单位体积上限和当前SKU商品的历史体积中，确定哪一个体积最接近当前SKU商品的真实体积。换言之，如果当前SKU商品在上架货位的当前单位体积上限更接近当前SKU商品的历史体积，则使用当前SKU商品在上架货位的当前单位体积上限作为当前SKU商品的真实体积。其中，当前SKU商品的历史体积可以理解为在当前SKU商品有新的上架操作完成之前已经确定的当前SKU商品，该当前SKU商品的历史体积是一个推算值，会随着上架货位上存储的当前SKU商品的数量的而进行不断更新。
本申请实施例中提供的商品体积确定方法，该方法包括：当检测到当前SKU商品有新的上架操作完成时，依据当前SKU查找当前SKU商品在上架操作时所涉及的上架货位集；针对上架货位集中的每一上架货位，依据该上架货位的货位体积和当前SKU商品在该上架货位的数量，确定当前SKU商品在该上架货位的当前单位体积上限；依据当前SKU商品在每一上架货位的当前单位体积上限，对当前SKU商品的历史体积进行更新。本申请实施例的技术方案不仅能够实现对仓库中每种SKU的商品维护相对准确的商品体积，且通过本实施例的方案所推定的商品体积与实际测量的商品体积相比，本案推定的商品体积更能反映商品的空间占用情况，同时还能降低设备成本和人工成本。
实施例八
图9是本申请实施例八中提供的一种商品体积确定方法的流程示意图。
如图9所示，本申请实施例中的商品体积的推定方法可以包括：步骤901 至步骤905。
在步骤901中，当检测到当前SKU商品有新的上架操作完成时，查找当前SKU商品在进行新的上架操作时所涉及的上架货位集。
在本申请实施例中，由于本实施例的商品体积的推定方法是基于上架货位上存储的当前SKU商品数量，计算当前SKU商品在该上架货位的当前单位体积上限，从而根据当前单位体积上限来推算当前SKU商品的真实体积。当检测到当前SKU商品有新的上架操作完成时，如果上架货位上存储当前SKU商品的数量小于历史上在该上架货位上存储的当前SKU商品的数量，则可以计算得到当前SKU商品在该上架货位的当前单位体积上限大于当前SKU商品在该上架货位的历史单位体积上限。此时，历史单位体积上限与当前单位体积上限相比，历史单位体积上限更接近当前SKU商品的真实体积，相应的计算得到的当前单位体积上限是无效的，那么确定当前SKU商品在该上架货位的当前单位体积上限的步骤也是无效的。基于上述情况，查找到的上架货位集中各个上架货位还可以满足以下条件：上架货位上当前存储的当前SKU商品的数量大于该上位货架上历史上存储的当前SKU商品的数量。
在步骤902中，针对所述上架货位集中的每一上架货位，依据该上架货位的货位体积和当前SKU商品在该上架货位的存放数量，确定当前SKU商品在该上架货位上对应的当前单位体积上限。
在本申请实施例的一种实施方式中，依据该上架货位的货位体积和当前SKU商品在该上架货位的存放数量，确定当前SKU商品在该上架货位上对应的当前单位体积上限，可以包括：
确定当当前SKU商品使用该上架货位时该上架货位的装填率；
依据该上架货位的货位体积、当前SKU商品在该上架货位的存放数量以及该上架货位的装填率，计算当前SKU商品在该上架货位上对应的当前单位体积上限；其中，该当前单位体积上限大于当前SKU商品的真实体积。
在步骤903中，若非首次执行对当前SKU商品的历史体积进行更新的操作，则获取上一次更新确定的当前SKU商品的更新体积为当前SKU商品的历史体积。
在本申请实施例中，非首次执行对当前SKU商品的历史体积进行更新的操作可以理解为以前曾对当前SKU商品的历史体积进行更新过，并将上一次得到的当前SKU商品的更新体积，作为当前SKU商品的历史体积。
在步骤904中，若首次执行对当前SKU商品的历史体积进行更新的操作，则当前SKU商品的初始化体积为当前SKU商品的历史体积。
在本申请实施例中，首次执行对当前SKU商品的历史体积进行更新的操作可以理解为没有对当前SKU商品的历史体积进行更新过，由于是首次执行对当前SKU商品的历史体积进行更新的操作，并不清楚当前SKU商品历史体积，为此，可以直接获取当前SKU商品的初始化体积，并将获取的当前SKU商品的初始化体积，作为当前SKU商品的历史体积。一般情况下，只有首次对对当前SKU商品的历史体积进行更新才会使用到当前SKU商品的初始化体积，而在非首次对当前SKU商品的历史体积进行更新时，可以使用上一次对当前SKU商品的历史体积进行更新后得到的更新体积，作为最新的当前SKU商品的历史体积。
在本申请实施例的一种实施方式中，获取当前SKU商品的初始化体积，可以包括：步骤904a、步骤904b和步骤904c。
在步骤904a中，依据当前SKU从历史库存数据中查找历史存放当前SKU商品时所涉及的历史货位集。
在步骤904b中，针对历史货位集中的每一历史货位，依据该历史货位的货位体积和当前SKU商品在该历史货位的存放数量，确定当前SKU商品在该历史货位上对应的历史单位体积上限。
在步骤904c中，从当前SKU商品在每一历史货位中的历史单位体积上限中，选出符合第三预设标准的历史单位体积上限作为当前SKU商品的初始化体积。
在本实施方式中，历史库存数据中可以记录历史存放当前SKU商品时所涉及的历史货位集。依据当前SKU可以从历史库存数据中查找到这些历史货位集。然后针对历史货位集中的每一个历史货位，可以依据该历史货位的货位体积和当前SKU商品在该历史货位的数量，确定当前SKU商品在该历史货位上的历史单位体积上限。在一实施例中，依据该历史货位的货位体积和当前SKU商品在该历史货位的数量，确定当前SKU商品在该历史货位上的历史单位体积上限，可以包括：确定当前SKU商品所使用的该历史货位的装填率；依据该历史货位的货位体积、当前SKU商品在该历史货位的数量以及该历史货位的装填率，计算当前SKU商品在该历史货位的历史单位体积上限；其中，该历史单位体积上限大于当前SKU商品的真实体积。需要说明的是，本实施方式中确定历史单位 体积上限的过程与确定当前单位体积上限的过程相似，区别在于一个是当前状态下的当前单位体积上限，一个是从历史库存数据中获取相应数据后计算得到的历史单位体积上限，具体相关解释说明可以参见确定当前单位体积的解释说明。
在本实施方式中，虽然上述已经得到了具备当前SKU的在历史货位集中的每一历史货位的历史单位体积上限，但是不能保证所有的历史单位体积上限均有效，因此需要从多个历史单位体积上限中选取最佳的历史单位体积上限。为了保证当前SKU商品的初始化体积更接近当前SKU商品的真实体积，可以从已确定的多个历史单位体积上限中，选出最小的历史单位体积上限作为当前SKU商品的初始化体积。其中，第三预设标准可以为多个历史单位体积上限中体积上限值最小的历史单位体积上限。
在步骤905中，依据当前SKU商品在每一上架货位的当前单位体积上限，对当前SKU商品的历史体积进行更新。
在本申请实施例的一种实施方式中，依据当前SKU商品在每一上架货位上对应的当前单位体积上限，对当前SKU商品的历史体积进行更新，可以包括下述步骤9051a和步骤9051b构成的子流程(图中未示出)。
在步骤9051a中，从当前SKU商品在每一上架货位上对应的当前单位体积上限中，选出符合第一预设标准的当前单位体积上限。
在步骤9051b中，若符合第一预设标准的当前单位体积上限小于当前SKU商品的历史体积，则将符合第一预设标准的当前单位体积上限作为当前SKU商品的更新体积。
在本实施方式中，在计算得到当前SKU商品在每一上架货位的当前单位体积上限后，可以按照单位体积上限值对得到的多个当前单位体积上限由大到小排序，并从排序后的多个当前单位体积上限中选出单位体积上限值最小的当期单位体积上限作为符合第一预设标准的当前单位体积上限。第一预设标准可以理解为多个当前单位体积上限中体积上限值最小的当前单位体积上限。
在本实施方式中，选出符合第一预设标准的当前SKU商品的当前单位体积上限之后，需要对符合第一预设标准的当前SKU商品的当前单位体积上限与当前SKU商品的历史体积进行比较，从中确定哪一个体积最接近当前SKU商品的真实体积，并将最接近的作为当前SKU商品的更新体积，实现对当前SKU商品的历史体积的更新操作。若符合第一预设标准的当前单位体积上限小于当 前SKU商品的历史体积，则将符合第一预设标准的当前单位体积上限作为当前SKU商品的更新体积；若符合第一预设标准的当前单位体积上限大于或等于当前SKU商品的历史体积，则不对当前SKU的商品的历史体积进行更新，仍然将当前SKU的商品的历史体积作为当前SKU商品的更新体积。
在本申请实施例的另一种实施方式中，依据当前SKU商品在每一上架货位上对应的当前单位体积上限，对当前SKU商品的历史体积进行更新，可以包括下述步骤9052a、步骤9052b和步骤9052c构成的子流程(图中未示出)。
在步骤9052a中，针对当前SKU商品在每一上架货位中的当前单位体积上限，判断在该上架货位中的当前单位体积上限是否小于当前SKU商品的历史体积；
在步骤9052b中，若在该上架货位中的当前单位体积上限小于当前SKU商品的历史体积，则将所述当前SKU商品在该上架货位中的当前单位体积上限作为候选体积。
在步骤9052c中，若存在至少一个候选体积，则从至少一个候选标准体积中选出符合第二预设标准的候选体积作为当前SKU商品的更新体积。
在本实施方式中，在确定多个当前单位体积上限之后，需要判断多个当前单位体积上限中的哪些当前单位体积上限相比当前SKU商品的历史体积更接近当前SKU商品的真实体积。例如，针对当前SKU商品在每一上架货位的当前单位体积上限，判断在该上架货位的当前单位体积上限是否小于当前SKU商品的历史体积。若当前SKU商品在该上架货位的当前单位体积上限小于当前SKU商品的历史体积，则表明当前SKU商品在该上架货位的当前单位体积上限更接近当前SKU商品的真实体积；若当前SKU商品在该上架货位的当前单位体积上限大于当前SKU商品的历史体积，则表明当前SKU商品的历史体积更接近当前SKU商品的真实体积。
在本实施方式中，虽然候选体积中的各个当前单位体积上限与当前SKU商品的历史体积相比更接近当前SKU商品的真实体积。为了从候选体积中选出最接近当前SKU商品的真实体积的当前单位体积上限，可以从至少一个候选标准体积中选择最小的候选体积作为当前SKU商品的更新体积。需要说明的是，上述步骤905中对当前SKU商品的历史体积进行更新的两种具体可选实施方式可以单独使用，也可以组合使用。
需要注意的是，本申请实施例的商品体积确定方法的基本思路是依据上架 货位上的当前SKU商品的数量，计算得到当前SKU商品在上架货位的当前单位体积上限，然后再根据当前单位体积上限对当前SKU商品的历史体积进行更新。之所以采用上述当前单位体积上限是因为商品的三维数据并不是决定商品占用体积的唯一因素，其他类似商品形状、商品是否可以挤压、商品摆放方式等因素，均可以影响商品的占用体积，商品的当前单位体积上限可以充分考虑这些因素，从而使得通过当前单位体积上限可以更加准确的得到商品的真实占用体积。同时，本实施例的技术方案是全自动完成的，既不需要昂贵的测量设备，又不需要耗费人工工时，大幅降低商品体积确定的设备成本和人工成本。
本申请实施例中提供的商品体积确定方法，能够依靠实际的上架数据，自动化地采集并对商品的历史体积进行实时更新，从而使得商品更新后的体积不断接近商品真实占用体积，且通过本实施例的方案所推定的商品体积与实际测量的商品体积相比更能反映商品的空间占用情况，同时还能降低设备成本和人工成本。
实施例九
图10是本申请实施例九中提供的一种商品体积确定装置的结构示意图，该装置执行上述实施例中提供的商品体积确定方法，该装置可以采用软件和硬件中至少之一的方式实现，该装置可以集成在任何具有网络通信功能的用于进行商品体积确定的计算机设备中。
如图10所示，本申请实施例中的商品体积确定装置可以包括：上架货位查找模块1001、当前体积上限确定模块1002和体积更新模块1003，其中：
上架货位查找模块1001，设置为当检测到当前SKU商品有新的上架操作完成时，查找所述当前SKU商品在进行所述新的上架操作时所涉及的上架货位集。
当前体积上限确定模块1002，设置为针对所述上架货位集中的每一上架货位，依据该上架货位的货位体积和所述当前SKU商品在该上架货位中所述当前SKU商品的存储数量，确定所述当前SKU商品在该货位中的当前单位体积上限。
体积更新模块1003，设置为依据所述当前SKU商品在每一上架货位中的当前单位体积上限，对所述当前SKU商品的历史体积进行更新。
其中，“具备所述当前SKU的商品的历史体积”，也即上述实施例中的“该种货物的基础体积值”。
在本申请实施例的一种示例性方式中，当前体积上限确定模块1002可以包括：装填率确定单元和当前体积上限确定单元。
装填率确定单元，设置为确定当所述当前SKU商品使用该上架货位时该上架货位的装填率。
当前体积上限确定单元，设置为依据该上架货位的货位体积、在该货位中的所述当前SKU商品的存储数量以及该上架货位的装填率，确定所述当前SKU商品在该上架货位中的当前单位体积上限；其中，该当前单位体积上限大于所述当前SKU商品的真实体积。
在本申请实施例的一种示例性方式中，体积更新模块1003可以包括：第一获取单元、第二获取单元和体积更新单元。
第一获取单元，设置为若非首次执行对所述当前SKU商品的历史体积进行更新的操作，则获取上一次更新确定的所述当前SKU商品的更新体积，作为所述当前SKU商品的历史体积。
第二获取单元，设置为若首次执行对所述当前SKU商品的历史体积进行更新的操作，则获取所述当前SKU商品的初始化体积为所述当前SKU商品的历史体积。
体积更新单元，设置为依据具备所述当前SKU的商品在每一上架货位的当前单位体积上限，对具备所述当前SKU的商品的历史体积进行更新。
在本申请实施例的一种示例性方式中，所述体积更新单元可以包括：第一选取子单元和第一更新子单元。
第一选取子单元，设置为从所述当前SKU商品在每一上架货位中的当前单位体积上限中，选出符合第一预设标准的当前单位体积上限。
第一更新子单元，设置为若所述符合第一预设标准的当前单位体积上限小于所述当前SKU商品的历史体积，则将所述符合第一预设标准的当前单位体积上限作为所述当前SKU商品的更新体积。
在本申请实施例的另一种示例性方式中，所述体积更新单元可以包括：判断子单元、候选子单元和第二更新子单元。
判断子单元，设置为针对所述当前SKU商品在每一上架货位中的当前单位体积上限，判断所述当前SKU商品在该上架货位的当前单位体积上限是否小于所述当前SKU商品历史体积。
候选子单元，设置为若在所述当前SKU商品在该上架货位中的当前单位体积上限小于所述当前SKU商品的历史体积，则将当前SKU商品的在该上架货位中的当前单位体积上限作为候选体积。
第二更新子单元，设置为若存在至少一个候选体积，则从至少一个候选标准体积中选出符合第二预设标准的候选体积作为所述当前SKU商品的更新体积。
在本申请实施例的一种示例性方式中，所述第二获取单元可以包括：历史货位查找子单元、历史体积上限确定子单元和初始化体积确定单元。
历史货位查找子单元，设置为依据所述当前SKU从历史库存数据中查找历史存放所述当前SKU商品时所涉及的历史货位集。
历史体积上限确定子单元，设置为针对所述历史货位集中的每一历史货位，依据该历史货位的货位体积和该历史货位中所述当前SKU商品的存储数量，确定所述当前SKU商品在该历史货位上对应的历史单位体积上限。
初始化体积确定单元，设置为从所述当前SKU商品在每一历史货位中的历史单位体积上限中，选出符合三预设标准的历史单位体积上限作为所述当前SKU商品的初始化体积。
本申请实施例中所提供的商品体积确定装置可执行上述本申请任意实施例中所提供的商品体积确定方法，具备执行该商品体积确定方法相应的功能模块和有益效果。
实施例十
图11是本发明实施例十中提供的一种计算机设备的结构示意图。图11示出了适于用来实现本发明实施方式的示例性计算机设备1112的框图。图11显示的计算机设备1112仅仅是一个示例，不应对本发明实施例的功能和使用范围带来任何限制。
如图11所示，计算机设备1112以通用计算设备的形式表现。计算机设备1112的组件可以包括但不限于：一个或者多个处理器或者处理单元1116，系统存储器1128，连接不同系统组件(包括系统存储器1128和处理单元1116)的总线1118。
总线1118表示几类总线结构中的一种或多种，包括存储器总线或者存储器控制器，外围总线，图形加速端口，处理器或者使用多种总线结构中的任意总线结构的局域总线。举例来说，这些体系结构包括但不限于工业标准体系结构(ISA)总线，微通道体系结构(MAC)总线，增强型ISA总线、视频电子标准协会(VESA)局域总线以及外围组件互连(PCI)总线。
计算机设备1112典型地包括多种计算机系统可读介质。这些介质可以是任何能够被计算机设备1112访问的可用介质，包括易失性和非易失性介质，可移 动的和不可移动的介质。
系统存储器1128可以包括易失性存储器形式的计算机系统可读介质，例如随机存取存储器(RAM)1130和/或高速缓存存储器1132。订单供需调度计算机设备1112可以进一步包括其它可移动/不可移动的、易失性/非易失性计算机系统存储介质。仅作为举例，存储系统1134可以用于读写不可移动的、非易失性磁介质(图11未显示，通常称为“硬盘驱动器”)。尽管图11中未示出，可以提供用于对可移动非易失性磁盘(例如“软盘”)读写的磁盘驱动器，以及对可移动非易失性光盘(例如CD-ROM，DVD-ROM或者其它光介质)读写的光盘驱动器。在这些情况下，每个驱动器可以通过一个或者多个数据介质接口与总线1118相连。存储器1128可以包括至少一个程序产品，该程序产品具有一组(例如至少一个)程序模块，这些程序模块被配置以执行本发明各实施例的功能。
具有一组(至少一个)程序模块1142的程序/实用工具1140，可以存储在例如存储器1128中，这样的程序模块1142包括但不限于操作系统、一个或者多个应用程序、其它程序模块以及程序数据，这些示例中的每一个或某种组合中可能包括网络环境的实现。程序模块1142通常执行本发明所描述的实施例中的功能和/或方法。
计算机设备1112也可以与一个或多个外部设备1114(例如键盘、指向设备、显示器1124等)通信，还可与一个或者多个使得用户能与计算机设备1112交互的设备通信，和/或与使得该计算机设备1112能与一个或多个其它计算设备进行通信的任何设备(例如网卡，调制解调器等等)通信。这种通信可以通过输入/输出(I/O)接口1122进行。并且，计算机设备1112还可以通过网络适配器1120与一个或者多个网络(例如局域网(LAN)，广域网(WAN)和/或公共网络，例如因特网)通信。如图11所示，网络适配器1120通过总线1118与计算机设备1112的其它模块通信。应当明白，尽管图11中未示出，可以结合计算机设备1112使用其它硬件和/或软件模块，包括但不限于：微代码、设备驱动器、冗余处理单元、外部磁盘驱动阵列、RAID系统、磁带驱动器以及数据备份存储系统等。
处理单元1116通过运行存储在系统存储器1128中的程序，从而执行各种功能应用以及数据处理，例如实现本发明实施例中所提供的商品体积确定方法，该方法包括：
当检测到当前SKU商品有新的上架操作完成时，查找所述当前SKU商品在进行所述新的上架操作时所涉及的上架货位集；
针对所述上架货位集中的每一上架货位，依据该上架货位的货位体积和在该上架货位中所述当前SKU商品的存储数量，确定所述当前SKU商品在该上架货位中的当前单位体积上限；
依据所述当前SKU商品在每一上架货位上对应的当前单位体积上限，对所述当前SKU商品的历史体积进行更新。
实施例十一
本发明实施例十一中还提供了一种计算机可读存储介质，其上存储有计算机程序，该程序被处理器执行时实现如本发明实施例所中提供的商品体积确定方法，该方法包括：
当检测到当前SKU商品有新的上架操作完成时，查找所述当前SKU商品在进行所述新的上架操作时所涉及的上架货位集；
针对所述上架货位集中的每一上架货位，依据该上架货位的货位体积和在该货位中所述当前SKU商品的存储数量，确定所述当前SKU商品在该上架货位中的当前单位体积上限；
依据所述当前SKU商品在每一上架货位上对应的当前单位体积上限，对所述当前SKU商品的历史体积进行更新。
本发明实施例的计算机存储介质，可以采用一个或多个计算机可读的介质的任意组合。计算机可读介质可以是计算机可读信号介质或者计算机可读存储介质。计算机可读存储介质例如可以是——但不限于——电、磁、光、电磁、红外线、或半导体的系统、装置或器件，或者任意以上的组合。计算机可读存储介质的更具体的例子(非穷举的列表)包括：具有一个或多个导线的电连接、便携式计算机磁盘、硬盘、随机存取存储器(RAM)、只读存储器(ROM)、可擦式可编程只读存储器(EPROM或闪存)、光纤、便携式紧凑磁盘只读存储器(CD-ROM)、光存储器件、磁存储器件、或者上述的任意合适的组合。在本文件中，计算机可读存储介质可以是任何包含或存储程序的有形介质，该程序可以被指令执行系统、装置或者器件使用或者与其结合使用。
计算机可读的信号介质可以包括在基带中或者作为载波一部分传播的数据信号，其中承载了计算机可读的程序代码。这种传播的数据信号可以采用多种形式，包括但不限于电磁信号、光信号或上述的任意合适的组合。计算机可读 的信号介质还可以是计算机可读存储介质以外的任何计算机可读介质，该计算机可读介质可以发送、传播或者传输用于由指令执行系统、装置或者器件使用或者与其结合使用的程序。
计算机可读介质上包含的程序代码可以用任何适当的介质传输，包括——但不限于无线、电线、光缆、RF等等，或者上述的任意合适的组合。
可以以一种或多种程序设计语言或其组合来编写用于执行本发明操作的计算机程序代码，所述程序设计语言包括面向对象的程序设计语言—诸如Java、Smalltalk、C++，还包括常规的过程式程序设计语言—诸如”C”语言或类似的程序设计语言。程序代码可以完全地在用户计算机上执行、部分地在用户计算机上执行、作为一个独立的软件包执行、部分在用户计算机上部分在远程计算机上执行、或者完全在远程计算机或服务器上执行。在涉及远程计算机的情形中，远程计算机可以通过任意种类的网络——包括局域网(LAN)或广域网(WAN)—连接到用户计算机，或者，可以连接到外部计算机(例如利用因特网服务提供商来通过因特网连接)。
注意，上述仅为本发明的较佳实施例及所运用技术原理。本领域技术人员会理解，本发明不限于这里所述的特定实施例，对本领域技术人员来说能够进行各种明显的变化、重新调整和替代而不会脱离本发明的保护范围。因此，虽然通过以上实施例对本发明进行了较为详细的说明，但是本发明不仅仅限于以上实施例，在不脱离本发明构思的情况下，还可以包括更多其他等效实施例，而本发明的范围由所附的权利要求范围决定。

Claims (30)

  1. 一种订单处理方法，包括：
    确定与订单关联的至少一种货物的实际体积，其中，至少一种货物的实际体积是依据货位中该种货物的历史最大存储数量及所述货位的体积确定的或周转箱中该种货物的存储数量及所述周转箱的体积确定的；
    依据与订单关联的至少一种货物的实际体积确定货物的总体积；
    依据货物的总体积及所述周转箱的体积，为所述订单分配周转箱。
  2. 根据权利要求1所述的方法，其中与订单关联的货物为一种货物，在依据货物的总体积及周转箱的体积，为所述订单分配周转箱之后，还包括：
    在所述一种货物的实际体积是依据货位中该种货物的历史最大存储数量及所述货位的体积确定的，且在分配周转箱后再接收到拆分周转箱指令的情况下，依据周转箱中该种货物的存储数量及所述周转箱的体积，再次确定该种货物的实际体积。
  3. 根据权利要求2所述的方法，在更新该种货物的实际体积之后，还包括：
    依据再次确定的该种货物的实际体积，更新之前确定的该种货物的实际体积。
  4. 根据权利要求1所述的方法，其中，依据货位中该种货物的历史最大存储数量及所述货位的体积确定该种货物的实际体积，包括：
    遍历仓库中位于货架的货位上的该种货物，确定存储该种货物数量最多的货位以及货位中该种货物的当前最大储存数量；
    在该种货物的当前最大存储数量大于保存的该种货物的历史最大存储数量的情况下，依据该种货物的当前最大存储数量更新所述该种货物的历史最大存储数量并保存；
    确定存储该种货物数量最多的货位的有效空间体积；
    依据该种货物的历史最大存储数量及存储该种货物数量最多的货位的有效空间体积，确定该种货物的体积值，并将该种货物的体积值作为该种货物的实际体积。
  5. 根据权利要求4所述的方法，在将该种货物的体积值作为该种货物的实际体积之后，包括：
    确定该种货物的基础体积值；
    将该种货物的体积值与该种货物的基础体积值进行比对，在比对结果为不一致的情况下，根据该种货物的体积值更新该种货物的基础体积值。
  6. 根据权利要求4所述的方法，其中，确定存储该种货物数量最多的货位的有效空间体积，包括：
    根据存储该种货物数量最多的货位的体积以及预置的货位有效空间使用率的阈值，确定存储该种货物数量最多的货位的有效空间体积。
  7. 根据权利要求5所述的方法，其中，确定该种货物的基础体积值，包括：
    接收该种货物的体积字段信息，依据所述体积字段信息初始化该种货物的基础体积值；或者，
    依据该种货物的货物类型，从货物统计表中获取所述货物类型的平均体积值，并依据所述货物类型的平均体积值初始化该种货物的基础体积值。
  8. 一种订单处理装置，包括：
    实际体积确定模块，设置为确定与订单关联的至少一种货物的实际体积，其中，至少一种货物的实际体积是依据货位中该种货物的历史最大存储数量及所述货位的体积确定的或周转箱中该种货物的存储数量及所述周转箱的体积确定的；
    总体积确定模块，设置为依据与订单关联的至少一种货物的实际体积确定货物的总体积；
    分配模块，设置为依据货物的总体积及所述周转箱的体积，为所述订单分配周转箱。
  9. 根据权利要求8所述的装置，其中，与订单关联的货物为一种货物，所述实际体积确定模块还设置为：
    在所述一种货物的实际体积是依据货位中该种货物的历史最大存储数量及所述货位的体积确定的，且在分配周转箱后再接收到拆分周转箱指令的情况下，依据周转箱中该种货物的存储数量及所述周转箱的体积，再次确定该种货物的实际体积。
  10. 根据权利要求9所述的装置，还包括：
    实际体积更新模块，设置为依据确定的该种货物的实际体积，更新之前确定的该种货物的实际体积。
  11. 根据权利要求8所述的装置，其中，所述实际体积确定模块包括：
    货位数量确定单元，设置为遍历仓库中位于货架的货位上的该种货物，确定存储该种货物数量最多的货位以及货位中所述该种货物的当前最大存储数量；
    存储数量更新单元，设置为在该种货物的当前最大存储数量大于保存的该 种货物的历史最大存储数量的情况下，依据该种货物的当前最大存储数量更新该种货物的历史最大存储货物数量并存储；
    货位体积确定单元，设置为确定存储该种货物数量最多的货位的有效空间体积；
    实际体积确定单元，设置为依据该种货物的历史最大存储数量及存储该种货物数量最多的货位的有效空间体积，确定该种货物的体积值，并将该种货物的体积值作为该种货物的实际体积值。
  12. 根据权利要求11所述的装置，还包括：
    基础体积确定模块，设置为确定该种货物的基础体积值；
    实际体积确定模块，还设置为将该种货物的体积值与该种货物的基础体积进行比对，在比对结果为不一致的情况下，根据该种货物的体积值更新该种货物的基础体积值。
  13. 根据权利要求11所述的装置，其中，货位体积确定单元还设置为：
    根据存储该种货物数量最多的货位的体积以及预置的货位有效空间使用率的阈值，确定存储该种货物数量最多的货位的有效空间体积。
  14. 根据权利要求12所述的装置，其中，所述基础体积确定模块还设置为：
    接收该种货物的体积字段信息，依据该种体积字段信息初始化该种货物的基础体积值；或者，
    依据该种货物的货物类型，从货物统计表中获取所述货物类型的平均体积值，并依据所述货物类型的平均体积值初始化该种货物的基础体积值。
  15. 一种服务器，包括：
    至少一个处理器；
    存储装置，设置为存储至少一个程序；
    当所述至少一个程序被所述至少一个处理器执行，使得所述至少一个处理器实现如权利要求1-7中任一项所述的订单处理方法。
  16. 一种存储介质，其上存储有计算机程序，其中，该计算机程序被处理器执行时实现如权利要求1-7中任一项所述的订单处理方法。
  17. 一种商品体积的推定方法，包括：
    在检测到当前SKU商品有新的上架操作完成的情况下，查找所述当前SKU商品在进行所述新的上架操作时所涉及的货位集合；
    针对所述货位集合中的每一货位，依据该货位的货位体积和在该货位中所 述当前SKU商品的存储数量，确定所述当前SKU商品在该货位中的当前单位体积上限；
    依据所述当前SKU商品在每一货位上对应的当前单位体积上限，对所述当前SKU商品的历史体积进行更新。
  18. 根据权利要求17所述的方法，其中，依据该货位的货位体积和在该货位中的所述当前SKU商品的存储数量，确定所述当前SKU商品在该货位中的当前单位体积上限，包括：
    确定当所述当前SKU商品使用该货位时该货位的有效空间使用率；
    依据该货位的货位体积、在该货位中的所述当前SKU商品的存储数量以及该货位的有效空间使用率，确定所述当前SKU商品在该货位中的当前单位体积上限。
  19. 根据权利要求17所述的方法，其中，所述当前SKU商品的历史体积包括：
    在非首次执行对所述当前SKU商品的历史体积进行更新的操作的情况下，上一次更新确定的所述当前SKU商品的更新体积为所述当前SKU商品的历史体积；
    在首次执行对所述当前SKU商品的历史体积进行更新的操作的情况下，所述当前SKU商品的初始化体积为所述当前SKU商品的历史体积。
  20. 根据权利要求19所述的方法，其中，依据备所述当前SKU商品在每一货位中的当前单位体积上限，对所述当前SKU商品的历史体积进行更新，包括：
    从所述当前SKU商品在每一货位中的当前单位体积上限中，选出符合第一预设标准的当前单位体积上限；
    在所述符合第一预设标准的当前单位体积上限小于所述当前SKU商品的历史体积的情况下，将所述符合第一预设标准的当前单位体积上限作为所述当前SKU商品的更新体积。
  21. 根据权利要求19所述的方法，其中，依据所述当前SKU商品在每一货位中的当前单位体积上限，对所述当前SKU商品的历史体积进行更新，包括：
    针对所述当前SKU商品在每一货位中的当前单位体积上限，判断所述当前SKU商品在该货位中的当前单位体积上限是否小于所述当前SKU商品的历史体积；
    在所述当前SKU商品在该货位中的当前单位体积上限小于所述当前SKU商品的历史体积的情况下，将所述当前SKU商品在该货位中的当前单位体积上限作为候选体积；
    在确定存在至少一个候选体积的情况下，从所述至少一个候选标准体积中选出符合第二预设标准的候选体积作为所述当前SKU商品的更新体积。
  22. 根据权利要求19所述的方法，其中，获取所述当前SKU商品的初始化体积，包括：
    依据所述当前SKU从历史库存数据中查找历史存放过所述当前SKU商品的历史货位集合；
    针对所述历史货位集合中的每一历史货位，依据该历史货位的货位体积和该历史货位中所述当前SKU商品的存储数量，确定所述当前SKU商品在该历史货位中的历史单位体积上限；
    从所述当前SKU商品在每一历史货位中的历史单位体积上限中，选出符合第三预设标准的历史单位体积上限作为所述当前SKU商品的初始化体积。
  23. 一种商品体积的推定装置，包括：
    上架货位查找模块，设置为在检测到当前SKU商品有新的上架操作完成的情况下，查找所述当前SKU商品在进行所述新的操作时所涉及的货位集合；
    当前体积上限确定模块，设置为针对所述货位集合中的每一货位，依据该货位的货位体积和在该货位中所述当前SKU商品的存储数量，确定所述当前SKU商品在该货位中的当前单位体积上限；
    体积更新模块，设置为依据所述当前SKU商品在每一货位上对应的当前单位体积上限，对所述当前SKU商品的历史体积进行更新。
  24. 根据权利要求23所述的装置，其中，所述当前体积上限确定模块包括：
    装填率确定单元，设置为确定当所述当前SKU商品使用该货位的有效空间使用率；
    当前体积上限确定单元，设置为依据该货位的货位体积、在该货位中的所述当前SKU商品的存储数量以及该货位的有效空间使用率，确定所述当前SKU商品在该货位中的当前单位体积上限。
  25. 根据权利要求23所述的装置，其中，所述体积更新模块包括：
    第一获取单元，设置为在非首次执行对所述当前SKU商品的历史体积进行更新的操作的情况下，上一次更新确定的所述当前SKU商品的更新体积为所述 当前SKU商品的历史体积；
    第二获取单元，设置为在首次执行对所述当前SKU商品的历史体积进行更新的操作的情况下，所述当前SKU商品的初始化体积为所述当前SKU商品的历史体积。
  26. 根据权利要求25所述的装置，其中，所述体积更新单元包括：
    第一选取子单元，设置为从所述当前SKU商品在每一货位中的当前单位体积上限中，选出符合第一预设标准的当前单位体积上限；
    第一更新子单元，设置为在所述符合第一预设标准的当前单位体积上限小于所述当前SKU商品的历史体积的情况下，将所述符合第一预设标准的当前单位体积上限作为所述当前SKU商品的更新体积。
  27. 根据权利要求25所述的装置，其中，所述体积更新单元包括：
    判断子单元，设置为针对所述当前SKU商品在每一货位中的当前单位体积上限，判断所述当前SKU商品在该货位中的当前单位体积上限是否小于所述当前SKU商品的历史体积；
    候选子单元，设置为在所述当前SKU商品在该货位中的当前单位体积上限小于所述当前SKU商品的历史体积的情况下，将所述当前SKU商品在该货位中的当前单位体积上限作为候选体积；
    第二更新子单元，设置为在确定存在至少一个候选体积的情况下，从所述至少一个候选标准体积中选出符合第二预设标准的候选体积作为所述当前SKU商品的更新体积。
  28. 根据权利要求25所述的装置，其中，所述第二获取单元包括：
    历史货位查找子单元，设置为依据所述当前SKU从历史库存数据中查找历史存放过所述当前SKU商品的历史货位集合；
    历史体积上限确定子单元，设置为针对所述历史货位集合中的每一历史货位，依据该历史货位的货位体积和该历史货位中所述当前SKU商品的存储数量，确定所述当前SKU商品在该历史货位中的历史单位体积上限；
    初始化体积确定单元，设置为从所述当前SKU商品在每一历史货位中的历史单位体积上限中，选出符合三预设标准的历史单位体积上限作为所述当前SKU商品的初始化体积。
  29. 一种计算机设备，包括：
    至少一个处理器；
    存储装置，设置为存储至少一个程序，
    当所述至少一个程序被所述至少一个处理器执行，使得所述至少一个处理器实现如权利要求17-22中任一项所述的商品体积的推定方法。
  30. 一种计算机可读存储介质，其上存储有计算机程序，该程序被处理器执行时实现如权利要求17-22中任一项所述的商品体积的推定方法。
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