CN109647719B - Method and device for sorting goods - Google Patents

Method and device for sorting goods Download PDF

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Publication number
CN109647719B
CN109647719B CN201710940128.XA CN201710940128A CN109647719B CN 109647719 B CN109647719 B CN 109647719B CN 201710940128 A CN201710940128 A CN 201710940128A CN 109647719 B CN109647719 B CN 109647719B
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order
distributed
goods
information included
sorted
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CN109647719A (en
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陈鲲
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Beijing Jingbangda Trade Co Ltd
Beijing Jingdong Zhenshi Information Technology Co Ltd
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Beijing Jingdong Shangke Information Technology Co Ltd
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Priority to CN201710940128.XA priority Critical patent/CN109647719B/en
Priority to JP2020515708A priority patent/JP7072054B2/en
Priority to PCT/CN2018/082686 priority patent/WO2019071930A1/en
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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
    • B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
    • B07C3/00—Sorting according to destination
    • B07C3/02—Apparatus characterised by the means used for distribution
    • 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
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism

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Abstract

The embodiment of the application discloses a method and a device for sorting goods. One embodiment of the method comprises: acquiring goods information included in each order to be distributed in the order group to be distributed; acquiring goods information included in the order to be sorted related to the target sorting unit; selecting the order to be distributed from the order group to be distributed according to the matching degree of the goods information included in each order to be distributed and the goods information included in the order to be sorted; and distributing the selected orders to be distributed to the target sorting units. This embodiment improves the sorting efficiency.

Description

Method and device for sorting goods
Technical Field
The application relates to the technical field of computers, in particular to the technical field of warehouse logistics, and particularly relates to a method and a device for sorting goods.
Background
With the continuous development of electronic commerce, the warehouse logistics technology is also very important. In the case of huge orders, how to quickly sort the goods indicated by the orders from the warehouse is a technical problem related to the warehouse logistics technology.
The existing goods sorting method generally distributes orders to the sorting units with the least number of orders to be sorted, but the method has the problem of low sorting efficiency.
Disclosure of Invention
It is an object of embodiments of the present application to propose an improved method and device for sorting goods to solve the technical problems mentioned in the background section above.
In a first aspect, an embodiment of the present application provides a method for sorting goods, where the method includes: acquiring goods information included in each order to be distributed in the order group to be distributed; acquiring goods information included in the order to be sorted related to the target sorting unit; selecting the order to be distributed from the order group to be distributed according to the matching degree of the goods information included in each order to be distributed and the goods information included in the order to be sorted; and distributing the selected orders to be distributed to the target sorting units.
In some embodiments, before obtaining the goods information included in each order to be allocated in the order group to be allocated, the method further includes: acquiring order information of each order to be distributed in an order set to be distributed, wherein the order information comprises priority information and time information; and according to the priority information and whether the interval duration between the time indicated by the time information and the current time is greater than a preset duration threshold, grouping each order to be distributed in the order set to be distributed to obtain an order set to be distributed.
In some embodiments, grouping each to-be-allocated order in the to-be-allocated order set according to whether the interval duration between the time indicated by the priority information and the current time is greater than a preset duration threshold or not, to obtain the to-be-allocated order set, includes: searching for the order to be distributed, wherein the priority information in the order set to be distributed is matched with preset information, or the interval duration between the time indicated by the time information and the current time is not greater than a preset duration threshold value; in response to the order to be allocated, which is found out to have the priority information matched with the preset information or the interval duration between the time indicated by the time information and the current time is not greater than the preset duration threshold value, determining the found order to be allocated as the order in the order group to be allocated; and determining the orders in the order set to be distributed as the orders in the order set to be distributed in response to the orders to be distributed, wherein the priority information is not found out to be matched with the preset information, or the interval duration between the time indicated by the time information and the current time is not greater than the preset duration threshold value.
In some embodiments, the target sorting unit is determined via: acquiring the amount of orders to be sorted related to each sorting unit; and determining the sorting unit with the minimum number of orders to be sorted as the target sorting unit.
In some embodiments, obtaining the goods information included in each order to be allocated in the order group to be allocated includes: determining whether a sorting unit with the number of the orders to be sorted smaller than a threshold value of the orders to be sorted exists; and acquiring goods information included in each order to be distributed in the order group to be distributed in response to determining that no sorting unit with the number of the orders to be distributed smaller than the threshold value of the order to be distributed exists.
In some embodiments, the matching degree of the goods information included in each order to be allocated and the goods information included in the order to be sorted is determined through the following steps: determining the goods type coincidence number of each to-be-distributed order and the to-be-sorted order related to the target sorting unit according to the goods information included by each to-be-distributed order and the goods information included by each to-be-sorted order; determining the number of the types of the goods included in each order to be distributed according to the goods information included in each order to be distributed; and determining the matching degree of the goods information included in each order to be distributed and the goods information included in the order to be sorted according to the determined goods type coincidence number and the determined goods type number.
In some embodiments, determining a matching degree of the goods information included in each order to be allocated and the goods information included in the order to be sorted according to the determined number of goods category coincidence and the determined number of goods category includes: calculating the ratio of the determined cargo category coincidence number to the determined cargo category squared; and determining the calculated ratio as the matching degree of the goods information included in each order to be distributed and the goods information included in the order to be sorted.
In a second aspect, an embodiment of the present application provides an apparatus for sorting goods, where the apparatus includes: the first acquisition unit is used for acquiring the goods information included in each order to be distributed in the order group to be distributed; the second acquisition unit is used for acquiring the goods information included in the to-be-sorted order related to the target sorting unit; the selecting unit is used for selecting the orders to be distributed from the order group to be distributed according to the matching degree of the goods information included in each order to be distributed and the goods information included in the orders to be sorted; and the distribution unit is used for distributing the selected orders to be distributed to the target sorting unit.
In some embodiments, the apparatus further comprises: the third acquiring unit is used for acquiring order information of each order to be distributed in the order set to be distributed, wherein the order information comprises priority information and time information; and the grouping unit is used for grouping each order to be distributed in the order set to be distributed according to whether the interval duration between the time indicated by the priority information and the current time is greater than a preset duration threshold value or not, so as to obtain the order set to be distributed.
In some embodiments, the grouping unit is further configured to: searching for the order to be distributed, wherein the priority information in the order set to be distributed is matched with preset information, or the interval duration between the time indicated by the time information and the current time is not greater than a preset duration threshold value; in response to the order to be allocated, which is found out to have the priority information matched with the preset information or the interval duration between the time indicated by the time information and the current time is not greater than the preset duration threshold value, determining the found order to be allocated as the order in the order group to be allocated; and determining the orders in the order set to be distributed as the orders in the order set to be distributed in response to the orders to be distributed, wherein the priority information is not found out to be matched with the preset information, or the interval duration between the time indicated by the time information and the current time is not greater than the preset duration threshold value.
In some embodiments, the apparatus further comprises a target sorting unit determination unit to: acquiring the amount of orders to be sorted related to each sorting unit; and determining the sorting unit with the minimum number of orders to be sorted as the target sorting unit.
In some embodiments, the first obtaining unit is further configured to: determining whether a sorting unit with the number of the orders to be sorted smaller than a threshold value of the orders to be sorted exists; and acquiring goods information included in each order to be distributed in the order group to be distributed in response to determining that no sorting unit with the number of the orders to be distributed smaller than the threshold value of the order to be distributed exists.
In some embodiments, the apparatus further comprises a matching degree determination unit for: determining the goods type coincidence number of each to-be-distributed order and the to-be-sorted order related to the target sorting unit according to the goods information included by each to-be-distributed order and the goods information included by each to-be-sorted order; determining the number of the types of the goods included in each order to be distributed according to the goods information included in each order to be distributed; and determining the matching degree of the goods information included in each order to be distributed and the goods information included in the order to be sorted according to the determined goods type coincidence number and the determined goods type number.
In some embodiments, the matching degree determination unit is further configured to: calculating the ratio of the determined cargo category coincidence number to the determined cargo category squared; and determining the calculated ratio as the matching degree of the goods information included in each order to be distributed and the goods information included in the order to be sorted.
In a third aspect, an embodiment of the present application provides an apparatus, where the apparatus includes: one or more processors; storage means for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to carry out the method according to the first aspect.
In a fourth aspect, embodiments of the present application provide a computer-readable storage medium on which a computer program is stored, which when executed by a processor, implements the method according to the first aspect.
According to the method and the device for sorting the goods, the orders to be distributed are selected from the order group to be distributed according to the matching degree of the goods information included in each order to be distributed and the goods information included in the orders to be sorted, the selected orders to be distributed are distributed to the target sorting unit, and the goods sorting efficiency is improved.
Drawings
Other features, objects and advantages of the present application will become more apparent upon reading of the following detailed description of non-limiting embodiments thereof, made with reference to the accompanying drawings in which:
FIG. 1 is an exemplary system architecture diagram in which the present application may be applied;
FIG. 2 is a flow diagram of one embodiment of a method for sorting goods according to the present application;
FIG. 3 is a schematic illustration of an application scenario of a method for sorting goods according to the present application;
FIG. 4 is a flow chart of yet another embodiment of a method for sorting goods according to the present application;
FIG. 5 is a schematic diagram of an embodiment of an apparatus for sorting goods according to the present application;
FIG. 6 is a schematic block diagram of a computer system suitable for use in implementing an electronic device according to embodiments of the present application.
Detailed Description
The present application will be described in further detail with reference to the following drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the relevant invention and not restrictive of the invention. It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
Fig. 1 shows an exemplary system architecture 100 to which embodiments of the present method for sorting goods or apparatus for sorting goods may be applied.
As shown in fig. 1, the system architecture 100 may include a rack shuttle 101, an intelligent handling robot 102, a sorting robot 103, a network 104, and a server 105. The network 104 is used to provide the medium of communication links between the rack shuttle 101, the intelligent handling robot 102, the sorting robot 103, and the server 105. Network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.
The rack shuttle 101, the intelligent handling robot 102, the sorting robot 103 may interact with the server 105 through the network 104 to receive or send messages, etc. The sorting unit may include a sorting robot 103 and a number of slots for storing goods sorted by the sorting robot 103.
The server 105 may be a server providing various services, for example, may obtain information of goods included in each to-be-allocated order in the to-be-allocated order group and information of goods included in the to-be-allocated order associated with the target sorting unit, then select an order to be allocated from the to-be-allocated order group according to a matching degree between the information of goods included in each to-be-allocated order and the information of goods included in the to-be-sorted order, and allocate the selected to-be-allocated order to the target sorting unit. The server may then control the rack shuttle 101, the intelligent handling robot 102, the sorting robot 103, etc. to move the goods included in the order into the slots of the target sorting unit.
It should be noted that the method for sorting goods provided by the embodiment of the present application is generally performed by the server 105, and accordingly, the device for sorting goods is generally disposed in the server 105.
It should be understood that the number of rack shuttles, intelligent handling robots, sorting robots, networks, and servers in fig. 1 are merely illustrative. There may be any number of shelf shuttles, intelligent transfer robots, sorting robots, networks, and servers as desired for implementation. In addition, in addition to the rack shuttle, the intelligent handling robot, and the sorting robot, other mechanical devices for handling or sorting goods, such as a six-axis robot, may be included in the system architecture 100.
With continued reference to fig. 2, a flow 200 of one embodiment of a method for sorting goods according to the present application is shown. The method for sorting goods as described above, comprising the steps of:
step 201, obtaining goods information included in each order to be distributed in the order group to be distributed.
In this embodiment, the electronic device (e.g., the server shown in fig. 1) on which the method for sorting goods operates may obtain information of goods included in each order to be allocated in the order group to be allocated from a local or other electronic device (e.g., a database server). The set of orders to be allocated may include orders submitted by users in an e-commerce platform. Typically, after a user submits an order, it is possible to determine from which warehouse the goods indicated in the order need to be sorted and to send this order-related information to the server of the determined warehouse. The server may acquire a set of unprocessed orders at predetermined time intervals, and perform subsequent processing using part or all of the acquired orders in the set of orders as an order group. The predetermined time interval may be set according to actual needs, and may be, for example, 1 second.
In this embodiment, the goods information may relate to the position where the goods are placed, for example, information of a shelf where the goods are placed, and the shelf where the goods are placed generally relates to the kind of the goods, so the goods information may also be the kind of the goods, and the classification of the kind of the goods may be classified in advance according to actual experience, for example, shampoo and shower gel may be classified into daily necessities; shampoos of all brands can also be classified as shampoos; the shampoos of different brands can also be classified into different shampoo types.
It should be noted that the cargo type may be determined according to the cargo label. As an example, the item identification may be a Stock Keeping Unit (SKU) of the item, and it may be determined from the SKU whether the items are of the same type, if the SKUs are the same, the same item, and if the SKUs are different, the different types of acquisitions.
In some optional implementation manners of this embodiment, before obtaining the goods information included in each order to be allocated in the order group to be allocated, the method further includes: acquiring order information of each order to be distributed in an order set to be distributed, wherein the order information comprises priority information and time information; and according to the priority information and whether the interval duration between the time indicated by the time information and the current time is greater than a preset duration threshold, grouping each order to be distributed in the order set to be distributed to obtain an order set to be distributed.
In some optional implementation manners of this embodiment, according to whether the interval duration between the time indicated by the priority information and the time information and the current time is greater than a preset duration threshold, grouping each to-be-allocated order in the to-be-allocated order set to obtain the to-be-allocated order set includes: searching for the order to be distributed, wherein the priority information in the order set to be distributed is matched with preset information, or the interval duration between the time indicated by the time information and the current time is not greater than a preset duration threshold value; in response to the order to be allocated, which is found out to have the priority information matched with the preset information or the interval duration between the time indicated by the time information and the current time is not greater than the preset duration threshold value, determining the found order to be allocated as the order in the order group to be allocated; and determining the orders in the order set to be distributed as the orders in the order set to be distributed in response to the orders to be distributed, wherein the priority information is not found out to be matched with the preset information, or the interval duration between the time indicated by the time information and the current time is not greater than the preset duration threshold value.
As an example, the priority information may include information indicating that the order is an emergency order or a general order, and the emergency order may be an order to be allocated according to the priority information. For a common order, if the interval duration between the time (which may be the order placing time or the order taking time) indicated by the time information of the common order and the current time is greater than the preset duration threshold, determining the common order as the order to be allocated. It is understood that if the time interval between the time indicated by the time information of the general order and the current time is greater than the preset time threshold, it indicates that the pending order may be placed for a long time and should be allocated as soon as possible, otherwise, the order goods delivery may be delayed.
In some optional implementations of the embodiment, the obtaining goods information included in each order to be allocated in the order group to be allocated includes: determining whether a sorting unit with the number of the orders to be sorted smaller than a threshold value of the orders to be sorted exists; and acquiring goods information included in each order to be distributed in the order group to be distributed in response to determining that no sorting unit with the number of the orders to be distributed smaller than the threshold value of the order to be distributed exists.
In this implementation manner, the threshold of the to-be-sorted order may be set according to actual needs, for example, the threshold may be half of the total number of the sorted orders of the sorting units, whether the sorting tasks allocated to the sorting units are saturated or not may be determined by the number of the to-be-sorted orders, and the sorting efficiency may be improved by analyzing the matching degree of the goods when the sorting tasks allocated to the sorting units are saturated.
Step 202, goods information included in the order to be sorted associated with the target sorting unit is obtained.
In this embodiment, the electronic device may obtain information of goods included in the order to be sorted associated with the target sorting unit. The sorting unit may be a unit capable of completing a sorting task for goods indicated by an order, and may sort one or more goods indicated by an order. For example, there may be several slot workstations in a warehouse for storing goods. A target sorting unit. The target sorting unit may be a sorting unit for which an order is to be allocated, and the sorting unit may be selected from all the sorting units as the target sorting unit according to a preset rule.
In some optional implementations of the present embodiment, the target sorting unit is determined via: acquiring the amount of orders to be sorted related to each sorting unit; and determining the sorting unit with the minimum number of orders to be sorted as the target sorting unit.
In this implementation, the workload of each sorting unit is balanced by determining the sorting unit with the smallest number of orders to be sorted as the target sorting unit. In addition, the target sorting unit may be determined according to other rules, for example, the sorting units may be determined as the target sorting unit in turn according to the sequence.
Step 203, selecting the order to be distributed from the order group to be distributed according to the matching degree of the goods information included in each order to be distributed and the goods information included in the order to be sorted.
In this embodiment, the electronic device may select an order to be allocated from the order group to be allocated according to the matching degree between the goods information included in each order to be allocated obtained in step 201 and the goods information included in the order to be sorted obtained in step 202. The matching degree of goods information can be used for characterizing the distance of goods placement, for example, the goods information is of a goods type, the goods belong to the same type, the goods can be placed at the same position or placed relatively closely, and thus the workload of goods handling can be reduced when the goods are transported to the target sorting unit.
And step 204, distributing the selected order to be distributed to the target sorting unit.
In this embodiment, the electronic device may allocate the order to be allocated selected in step 203 to the target sorting unit, so as to control the transportation tool to transport the goods related to the selected order to be allocated to the selected target sorting unit, so that the target sorting unit sorts the goods indicated by the order to be allocated.
With continued reference to fig. 3, fig. 3 is a schematic view of an application scenario of the method for sorting goods according to the present embodiment. In the application scenario of fig. 3, the server 301 may obtain the goods information included in each to-be-allocated order in the to-be-allocated order group, and the to-be-sorted orders associated with the target sorting unit 302, such as order 1 and order 2, including the goods information, and select an to-be-allocated order from the to-be-allocated order group according to the matching degree of the goods information; the picked order to be allocated is allocated to the target sorting unit 302.
According to the method provided by the embodiment of the application, the order to be distributed is selected from the order group to be distributed according to the matching degree of the goods information included in each order to be distributed and the goods information included in the order to be sorted, the selected order to be distributed is distributed to the target sorting unit, and the goods sorting efficiency is improved.
With further reference to fig. 4, a flow 400 of yet another embodiment of a method for sorting goods is shown. The process 400 of the method for sorting goods comprises the steps of:
step 401, obtaining goods information included in each order to be distributed in the order group to be distributed.
In this embodiment, the electronic device (e.g., the server shown in fig. 1) on which the method for sorting goods operates may obtain information of goods included in each order to be allocated in the order group to be allocated from a local or other electronic device (e.g., a database server).
Step 402, goods information included in the order to be sorted associated with the target sorting unit is obtained.
In this embodiment, the electronic device may obtain information of goods included in the order to be sorted associated with the target sorting unit.
And step 403, determining the goods category coincidence number of each order to be distributed and the order to be sorted related to the target sorting unit according to the goods information included in each order to be distributed and the goods information included in each order to be sorted.
In this embodiment, the electronic device may determine, according to the goods information included in each order to be allocated obtained in step 401 and the goods information included in each order to be sorted obtained in step 402, a goods category coincidence number of each order to be allocated and the order to be sorted associated with the target sorting unit. As an example, 2 goods are indicated in the order to be dispensed, shampoo and shower gel respectively. 3 goods, namely shampoo, shower gel and biscuits, are indicated in the to-be-sorted order of the target sorting unit A, and the goods of the to-be-distributed order, which are the same as the target sorting unit A, are shampoo and shower gel. 2 goods, namely shower gel and biscuits, are indicated in the to-be-sorted order of the target sorting unit B, and the goods of the to-be-distributed order, which are the same as the goods in the target sorting unit B, are the shower gel. Therefore, it can be found that the number of orders to be allocated that overlap the goods category of the target sorting unit a is 2, and the number of orders to be allocated that overlap the goods category of the target sorting unit B is 1.
And step 404, determining the number of the types of the goods included in each order to be distributed according to the goods information included in each order to be distributed.
In this embodiment, the electronic device may determine the number of types of goods included in each to-be-allocated order according to the goods information included in each to-be-allocated order.
Step 405, determining the matching degree of the goods information included in each order to be distributed and the goods information included in the order to be sorted according to the determined goods type coincidence number and the determined goods type number.
In this embodiment, the electronic device may determine a matching degree between the goods information included in each order to be allocated and the goods information included in each order to be sorted according to the number of goods category coincidences determined in step 403 and the number of goods category determined in step 404. For example, the ratio of the determined number of the goods category coincidence to the number of the goods category may be calculated; and determining the calculated ratio as the matching degree of the goods information included in each order to be distributed and the goods information included in the order to be sorted.
As an example, the number of types of goods for order a to be allocated is 4, and the number of types of goods for order B to be allocated is 5. The number of the overlapped types of the goods of the order A to be distributed and the target sorting unit C is 1, and the number of the overlapped types of the goods of the order B to be distributed and the target sorting unit C is 3. The ratio of the number of item category overlap 1 to the number of item categories 4 may be determined as the degree of item category overlap between order a to be assigned and target sorting unit C, 1/4. The ratio of the number of item category overlap 3 to the number of item categories 5 may be determined as the degree of item category overlap between the order B to be assigned and the target sorting unit C, 3/5.
In some optional implementation manners of this embodiment, determining, according to the determined number of goods category coincidences and the determined number of goods category, a matching degree of goods information included in each order to be allocated and goods information included in each order to be sorted, includes: calculating the ratio of the determined coincidence number of each cargo type to the square of the cargo type; and determining the calculated ratio as the matching degree of the goods information included in each order to be distributed and the goods information included in the order to be sorted. It should be noted that, because a lot of goods need to be taken in part of the orders, the difference of the cardinality of the goods types can be enlarged by the method of squaring the goods types, and the sorting efficiency can be improved compared with the method of not squaring.
And 406, selecting the order to be distributed from the order group to be distributed according to the matching degree of the goods information included in each order to be distributed and the goods information included in the order to be sorted.
In this embodiment, the electronic device may select the order to be allocated from the order group to be allocated according to the matching degree between the goods information included in each order to be allocated and the goods information included in the order to be sorted.
Step 407, the selected order to be allocated is allocated to the target sorting unit.
In this embodiment, the electronic device may allocate the order to be allocated selected in step 406 to the target sorting unit, so as to control the transportation tool to transport the goods related to the selected order to the selected target sorting unit, so that the target sorting unit sorts the goods indicated by the order to be allocated.
As can be seen from fig. 4, compared with the embodiment corresponding to fig. 2, the flow 400 of the method for sorting goods in the present embodiment highlights the step of determining the matching degree of the goods information according to the goods category overlapping degree. Therefore, the scheme described in the embodiment only needs to acquire conventional order information, and does not need to acquire other information such as the goods storage position, so that the goods sorting efficiency is improved on the basis of increasing less calculation amount.
With further reference to fig. 5, as an implementation of the method shown in the above figures, the present application provides an embodiment of an apparatus for sorting goods, which corresponds to the embodiment of the method shown in fig. 2, and which is particularly applicable in various electronic devices.
As shown in fig. 5, the apparatus 500 for sorting goods according to the embodiment includes: a first acquiring unit 501, a second acquiring unit 502, a selecting unit 503, and an allocating unit 504. The first obtaining unit 501 is configured to obtain goods information included in each order to be allocated in the order group to be allocated; a second obtaining unit 502, configured to obtain information of goods included in the order to be sorted associated with the target sorting unit; the selecting unit 503 is configured to select an order to be allocated from the order group to be allocated according to the matching degree between the goods information included in each order to be allocated and the goods information included in the order to be sorted; an allocating unit 504, configured to allocate the selected order to be allocated to the target sorting unit.
In this embodiment, specific processes of the first obtaining unit 501, the second obtaining unit 502, the selecting unit 503 and the allocating unit 504 and technical effects thereof can refer to the related descriptions of step 201, step 202, step 203 and step 204 in the corresponding embodiment of fig. 2, which are not described herein again.
In some optional implementations of this embodiment, the apparatus further includes: a third obtaining unit (not shown in the figure), configured to obtain order information of each to-be-distributed order in the to-be-distributed order set, where the order information includes priority information and time information; and a grouping unit (not shown in the figure) configured to group each to-be-allocated order in the to-be-allocated order set according to whether the interval duration between the time indicated by the priority information and the current time is greater than a preset duration threshold or not, so as to obtain the to-be-allocated order set.
In some optional implementations of this embodiment, the grouping unit (not shown in the figure) is further configured to: searching for the order to be distributed, wherein the priority information in the order set to be distributed is matched with preset information, or the interval duration between the time indicated by the time information and the current time is not greater than a preset duration threshold value; in response to the order to be allocated, which is found out to have the priority information matched with the preset information or the interval duration between the time indicated by the time information and the current time is not greater than the preset duration threshold value, determining the found order to be allocated as the order in the order group to be allocated; and determining the orders in the order set to be distributed as the orders in the order set to be distributed in response to the orders to be distributed, wherein the priority information is not found out to be matched with the preset information, or the interval duration between the time indicated by the time information and the current time is not greater than the preset duration threshold value.
In some optional implementations of this embodiment, the apparatus further comprises a target sorting unit determining unit (not shown in the figure), the target sorting unit determining unit (not shown in the figure) is configured to: acquiring the amount of orders to be sorted associated with each sorting unit (not shown in the figure); the sorting unit (not shown in the figure) with the minimum number of orders to be sorted is determined as the target sorting unit.
In some optional implementations of this embodiment, the first obtaining unit 501 is further configured to: determining whether there are sorting units (not shown) with a number of orders to sort less than a threshold number of orders to sort; in response to determining that there are no sorting units (not shown) with a number of orders to be sorted less than the threshold number of orders to be sorted, the information on the goods included in each order to be allocated in the set of orders to be allocated is obtained.
In some optional implementation manners of this embodiment, the apparatus further includes a matching degree determining unit (not shown in the figure), and the matching degree determining unit (not shown in the figure) is configured to: determining the goods type coincidence number of each to-be-distributed order and the to-be-sorted order related to the target sorting unit according to the goods information included by each to-be-distributed order and the goods information included by each to-be-sorted order; determining the number of the types of the goods included in each order to be distributed according to the goods information included in each order to be distributed; and determining the matching degree of the goods information included in each order to be distributed and the goods information included in the order to be sorted according to the determined goods type coincidence number and the determined goods type number.
In some optional implementations of this embodiment, the matching degree determining unit (not shown in the figure) is further configured to: calculating the ratio of the determined coincidence number of each cargo type to the square of the cargo type; and determining the calculated ratio as the matching degree of the goods information included in each order to be distributed and the goods information included in the order to be sorted.
It should be noted that, for details of implementation and technical effects of each unit in the apparatus for sorting goods provided in this embodiment, reference may be made to the description of other embodiments in this application, and details are not described herein again.
Referring now to FIG. 6, shown is a block diagram of a computer system 600 suitable for use in implementing the electronic device of an embodiment of the present application. The electronic device shown in fig. 6 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present application.
As shown in fig. 6, the computer system 600 includes a Central Processing Unit (CPU)601 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)602 or a program loaded from a storage section 608 into a Random Access Memory (RAM) 603. In the RAM 603, various programs and data necessary for the operation of the system 600 are also stored. The CPU 601, ROM 602, and RAM 603 are connected to each other via a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.
To the I/O interface 605, AN input section 606 including a keyboard, a mouse, and the like, AN output section 607 including a network interface card such as a Cathode Ray Tube (CRT), a liquid crystal display (L CD), and the like, a speaker, and the like, a storage section 608 including a hard disk, and the like, and a communication section 609 including a network interface card such as a L AN card, a modem, and the like, the communication section 609 performs communication processing via a network such as the internet, a drive 610 is also connected to the I/O interface 605 as necessary, a removable medium 611 such as a magnetic disk, AN optical disk, a magneto-optical disk, a semiconductor memory, and the like is mounted on the drive 610 as necessary, so that a computer program read out therefrom is mounted into the storage section 608 as necessary.
In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 609, and/or installed from the removable medium 611. The computer program performs the above-described functions defined in the method of the present application when executed by a Central Processing Unit (CPU) 601.
It should be noted that the computer readable medium mentioned above in the present application may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A 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 of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present application, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In this application, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport 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, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in the embodiments of the present application may be implemented by software or hardware. The described units may also be provided in a processor, and may be described as: a processor comprises a first acquisition unit, a second acquisition unit, a selection unit and a distribution unit. Here, the names of the units do not constitute a limitation to the units themselves in some cases, and for example, the first acquiring unit may also be described as "a unit that acquires information on goods included in each order to be allocated in the order group to be allocated".
As another aspect, the present application also provides a computer-readable medium, which may be contained in the apparatus described in the above embodiments; or may be present separately and not assembled into the device. The computer readable medium carries one or more programs which, when executed by the apparatus, cause the apparatus to: acquiring goods information included in each order to be distributed in the order group to be distributed; acquiring goods information included in the order to be sorted related to the target sorting unit; selecting the order to be distributed from the order group to be distributed according to the matching degree of the goods information included in each order to be distributed and the goods information included in the order to be sorted; and distributing the selected orders to be distributed to the target sorting units.
The above description is only a preferred embodiment of the application and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention herein disclosed is not limited to the particular combination of features described above, but also encompasses other arrangements formed by any combination of the above features or their equivalents without departing from the spirit of the invention. For example, the above features may be replaced with (but not limited to) features having similar functions disclosed in the present application.

Claims (14)

1. A method for sorting goods, characterized in that the method comprises:
acquiring goods information included in each order to be distributed in the order group to be distributed;
acquiring goods information included in an order to be sorted related to a target sorting unit, wherein the target sorting unit is determined in turn according to the sequence of each sorting unit;
selecting the order to be distributed from the order group to be distributed according to the matching degree of the goods information included in each order to be distributed and the goods information included in the order to be sorted;
and distributing the selected orders to be distributed to the target sorting units.
2. The method of claim 1, wherein before obtaining the goods information included in each order to be allocated in the group of orders to be allocated, the method further comprises:
acquiring order information of each order to be distributed in an order set to be distributed, wherein the order information comprises priority information and time information;
and according to the priority information and whether the interval duration between the time indicated by the time information and the current time is greater than a preset duration threshold value, grouping each order to be distributed in the order set to be distributed to obtain an order set to be distributed.
3. The method according to claim 2, wherein the grouping each order to be allocated in the order set to be allocated according to whether the interval duration between the time indicated by the priority information and the current time is greater than a preset duration threshold value or not, to obtain the order set to be allocated, comprises:
searching for the order to be distributed, in which the priority information in the order set to be distributed is matched with preset information, or the interval duration between the time indicated by the time information and the current time is not greater than a preset duration threshold value;
in response to the order to be allocated, which is found out to have the priority information matched with the preset information or the interval duration between the time indicated by the time information and the current time is not greater than the preset duration threshold value, determining the found order to be allocated as the order in the order group to be allocated;
and in response to the order to be distributed, which is not found out that the priority information is matched with the preset information or the interval duration between the time indicated by the time information and the current time is not greater than a preset duration threshold value, determining the order in the order set to be distributed as the order in the order set to be distributed.
4. The method according to claim 1, wherein the obtaining of the goods information included in each order to be allocated in the order group to be allocated comprises:
determining whether a sorting unit with the number of the orders to be sorted smaller than a threshold value of the orders to be sorted exists;
and acquiring goods information included in each order to be distributed in the order groups to be distributed in response to determining that no sorting unit with the number of the orders to be distributed smaller than the threshold value of the order to be distributed exists.
5. The method according to any of claims 1-4, wherein the matching degree of the goods information comprised by each order to be allocated and the goods information comprised by the order to be sorted is determined via the following steps:
determining the goods type coincidence number of each to-be-distributed order and the to-be-sorted order related to the target sorting unit according to the goods information included by each to-be-distributed order and the goods information included by the to-be-sorted order;
determining the number of the types of the goods included in each order to be distributed according to the goods information included in each order to be distributed;
and determining the matching degree of the goods information included in each order to be distributed and the goods information included in the order to be sorted according to the determined goods type coincidence number and the determined goods type number.
6. The method according to claim 5, wherein determining the matching degree of the goods information included in each order to be distributed and the goods information included in the order to be sorted according to the determined number of goods category coincidence and the determined number of goods category comprises:
calculating the ratio of the determined cargo category coincidence number to the determined cargo category squared;
and determining the calculated ratio as the matching degree of the goods information included in each order to be distributed and the goods information included in the order to be sorted.
7. An apparatus for sorting goods, the apparatus comprising:
the first acquisition unit is used for acquiring the goods information included in each order to be distributed in the order group to be distributed;
the second acquisition unit is used for acquiring the goods information included in the to-be-sorted orders associated with the target sorting units, wherein the target sorting units are determined in turn according to the sequence of each sorting unit;
the selecting unit is used for selecting the orders to be distributed from the order group to be distributed according to the matching degree of the goods information included by each order to be distributed and the goods information included by the orders to be sorted;
and the distribution unit is used for distributing the selected orders to be distributed to the target sorting unit.
8. The apparatus of claim 7, further comprising:
the third acquiring unit is used for acquiring order information of each order to be distributed in the order set to be distributed, wherein the order information comprises priority information and time information;
and the grouping unit is used for grouping each order to be distributed in the order set to be distributed according to the priority information and whether the interval duration between the time indicated by the time information and the current time is greater than a preset duration threshold value to obtain the order set to be distributed.
9. The apparatus of claim 8, wherein the grouping unit is further configured to:
searching for the order to be distributed, in which the priority information in the order set to be distributed is matched with preset information, or the interval duration between the time indicated by the time information and the current time is not greater than a preset duration threshold value;
in response to the order to be allocated, which is found out to have the priority information matched with the preset information or the interval duration between the time indicated by the time information and the current time is not greater than the preset duration threshold value, determining the found order to be allocated as the order in the order group to be allocated;
and in response to the order to be distributed, which is not found out that the priority information is matched with the preset information or the interval duration between the time indicated by the time information and the current time is not greater than a preset duration threshold value, determining the order in the order set to be distributed as the order in the order set to be distributed.
10. The apparatus of claim 7, wherein the first obtaining unit is further configured to:
determining whether a sorting unit with the number of the orders to be sorted smaller than a threshold value of the orders to be sorted exists;
and acquiring goods information included in each order to be distributed in the order groups to be distributed in response to determining that no sorting unit with the number of the orders to be distributed smaller than the threshold value of the order to be distributed exists.
11. The apparatus according to any of claims 7-10, further comprising a matching degree determination unit configured to:
determining the goods type coincidence number of each to-be-distributed order and the to-be-sorted order related to the target sorting unit according to the goods information included by each to-be-distributed order and the goods information included by the to-be-sorted order;
determining the number of the types of the goods included in each order to be distributed according to the goods information included in each order to be distributed;
and determining the matching degree of the goods information included in each order to be distributed and the goods information included in the order to be sorted according to the determined goods type coincidence number and the determined goods type number.
12. The apparatus of claim 11, wherein the matching degree determination unit is further configured to:
calculating the ratio of the determined cargo category coincidence number to the determined cargo category squared;
and determining the calculated ratio as the matching degree of the goods information included in each order to be distributed and the goods information included in the order to be sorted.
13. An electronic device, characterized in that the electronic device comprises:
one or more processors;
a storage device for storing one or more programs,
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method recited in any of claims 1-6.
14. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1-6.
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Families Citing this family (34)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110223011A (en) * 2019-05-22 2019-09-10 杭州海仓科技有限公司 Intelligent storage equipment scheduling method, system, storage medium and electronic equipment
CN111754059A (en) * 2019-05-28 2020-10-09 北京京东乾石科技有限公司 Task combination method and device
CN112053017A (en) * 2019-06-05 2020-12-08 顺丰科技有限公司 Sorting device distribution method, system, terminal and storage medium
CN112070330A (en) * 2019-06-11 2020-12-11 北京京东振世信息技术有限公司 Warehouse-out method and device
JP7339038B2 (en) * 2019-07-10 2023-09-05 Juki株式会社 Parts management system and parts management method
CN112214731B (en) * 2019-07-11 2024-04-09 北京京东振世信息技术有限公司 Method and device for determining target set
CN112446754A (en) * 2019-09-04 2021-03-05 北京京东乾石科技有限公司 Method and device for processing orders
CN110694953B (en) * 2019-10-11 2021-11-16 北京旷视机器人技术有限公司 Article delivery method and device of wheel disc sorting machine and electronic equipment
CN112766833B (en) * 2019-10-21 2023-11-07 北京京东振世信息技术有限公司 Method, apparatus, electronic device and storage medium for determining a pick container
CN112801323A (en) * 2019-11-13 2021-05-14 顺丰科技有限公司 Sorting equipment scheduling method and device, electronic equipment and storage medium
CN111080187A (en) * 2019-11-13 2020-04-28 北京旷视机器人技术有限公司 Order allocation method and device, computer equipment and storage medium
CN111105184B (en) * 2019-11-27 2023-09-05 深圳友宝科斯科技有限公司 Vending machine stock method, control system thereof and computer readable storage medium
CN111080207A (en) * 2019-12-26 2020-04-28 北京每日优鲜电子商务有限公司 Order processing method, device, equipment and storage medium
CN111382974B (en) * 2020-03-09 2024-01-19 北京旷视机器人技术有限公司 Method and device for determining goods shelf position, warehousing system and computer equipment
CN113450044A (en) * 2020-03-26 2021-09-28 北京京东乾石科技有限公司 Order processing method and order processing device for workstation
CN111652544A (en) * 2020-05-26 2020-09-11 希杰物流(上海)有限公司 Method for parcel collection and transportation and shelving, intelligent equipment and system for collection and transportation and shelving
CN113762664A (en) * 2020-06-22 2021-12-07 北京京东乾石科技有限公司 Method and device for distributing picking task and computer readable medium
CN111784469B (en) * 2020-06-29 2024-04-09 北京京东振世信息技术有限公司 Order sub-broadcasting rechecking method, device, equipment and storage medium
CN113780701A (en) * 2020-07-30 2021-12-10 北京京东乾石科技有限公司 Order shunting method and device
CN113762831A (en) * 2020-08-07 2021-12-07 北京京东乾石科技有限公司 Method, device and storage medium for automatically distributing articles
CN113762854A (en) * 2020-11-17 2021-12-07 北京沃东天骏信息技术有限公司 Order processing method and device
CN113743856A (en) * 2021-01-05 2021-12-03 北京京东乾石科技有限公司 Article sorting method and device, and storage medium
CN113793087B (en) * 2021-02-26 2024-04-16 北京京东振世信息技术有限公司 Method and device for sorting objects
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CN113283708A (en) * 2021-04-29 2021-08-20 北京京东振世信息技术有限公司 Task list distribution method and device, electronic equipment and computer readable medium
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CN113695235B (en) * 2021-09-01 2023-09-01 北京京东乾石科技有限公司 Logistics sorting method, device and system and readable storage medium
CN115156090B (en) * 2022-05-31 2024-04-05 北京旷视机器人技术有限公司 Material box distribution method, electronic equipment and storage medium
CN115619489B (en) * 2022-11-08 2023-04-07 湖北凯乐仕通达科技有限公司 Order sorting method and device and computer equipment
CN115660380B (en) * 2022-12-08 2023-08-15 无锡凯乐士科技有限公司 Order processing method and device for picking goods to person
CN116187718B (en) * 2023-04-24 2023-08-04 深圳市宏大供应链服务有限公司 Intelligent goods identification and sorting method and system based on computer vision

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2013083146A1 (en) * 2011-12-09 2013-06-13 Georg-August-Universität Göttingen Stiftung Öffentlichen Rechts Method and device for estimating development parameters of plants
CN104624508A (en) * 2015-02-16 2015-05-20 北京任我在线电子商务有限公司 Efficient sorting method and efficient sorting system
CN104751272A (en) * 2015-03-04 2015-07-01 径圆（上海）信息技术有限公司 Intelligent order scheduling method and server, electric vehicle, mobile terminal and system
CN105117777A (en) * 2015-07-28 2015-12-02 北京嘀嘀无限科技发展有限公司 Order distributing method and apparatus
CN105858045A (en) * 2016-06-03 2016-08-17 北京极智嘉科技有限公司 Automatic cargo picking system and automatic cargo picking method
CN106447186A (en) * 2016-09-21 2017-02-22 广东工业大学 Method and device of task assignment of transportation devices in intelligent warehousing
CN109472523A (en) * 2017-09-07 2019-03-15 北京京东尚科信息技术有限公司 Method and apparatus for sorting cargo

Family Cites Families (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002114326A (en) * 2000-10-12 2002-04-16 Nkk Corp Lane control method and device for automated storage and retrieval system
JP5417034B2 (en) * 2009-05-19 2014-02-12 株式会社イシダ Picking system
CN104205135B (en) * 2012-02-05 2018-06-19 麦修斯资源有限公司 Order is persistently criticized to fulfil
US20140136255A1 (en) * 2012-11-14 2014-05-15 Wal-Mart Stores, Inc. Dynamic Task Management
CN105719110A (en) * 2015-05-22 2016-06-29 北京小度信息科技有限公司 Order processing method and device
CN105719010A (en) * 2015-07-24 2016-06-29 北京小度信息科技有限公司 Method and device for processing distribution tasks
CN107092997A (en) * 2016-07-29 2017-08-25 北京小度信息科技有限公司 A kind of Logistic Scheduling method and device
CN106779526A (en) * 2016-11-23 2017-05-31 北京小度信息科技有限公司 Order component formula method and device
CN106897852A (en) * 2017-01-27 2017-06-27 华南理工大学 For the Order Sorting optimization method of logistics
CN107844879A (en) * 2017-06-27 2018-03-27 北京小度信息科技有限公司 Order allocation method and device
CN107844882A (en) * 2017-08-24 2018-03-27 北京小度信息科技有限公司 Dispense task processing method, device and electronic equipment
CN107886245A (en) * 2017-11-10 2018-04-06 北京小度信息科技有限公司 Order method for pushing and device

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2013083146A1 (en) * 2011-12-09 2013-06-13 Georg-August-Universität Göttingen Stiftung Öffentlichen Rechts Method and device for estimating development parameters of plants
CN104624508A (en) * 2015-02-16 2015-05-20 北京任我在线电子商务有限公司 Efficient sorting method and efficient sorting system
CN104751272A (en) * 2015-03-04 2015-07-01 径圆（上海）信息技术有限公司 Intelligent order scheduling method and server, electric vehicle, mobile terminal and system
CN105117777A (en) * 2015-07-28 2015-12-02 北京嘀嘀无限科技发展有限公司 Order distributing method and apparatus
CN105858045A (en) * 2016-06-03 2016-08-17 北京极智嘉科技有限公司 Automatic cargo picking system and automatic cargo picking method
CN106447186A (en) * 2016-09-21 2017-02-22 广东工业大学 Method and device of task assignment of transportation devices in intelligent warehousing
CN109472523A (en) * 2017-09-07 2019-03-15 北京京东尚科信息技术有限公司 Method and apparatus for sorting cargo

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