CN115409359A

CN115409359A - Method, apparatus, system, apparatus and medium for sorting articles

Info

Publication number: CN115409359A
Application number: CN202211029008.1A
Authority: CN
Inventors: 王宗龑; 刘宗帅; 刘庆华
Original assignee: Beijing Jingdong Qianshi Technology Co Ltd
Current assignee: Beijing Jingdong Qianshi Technology Co Ltd
Priority date: 2022-08-25
Filing date: 2022-08-25
Publication date: 2022-11-29

Abstract

The utility model provides an article sorting method, which can be applied to the technical field of Internet of things and the technical field of intelligent logistics. The method comprises the following steps: determining a target whole package article volume and a target residual article volume of a target article in a logistics order according to order information of the logistics order, wherein the target article comprises the target whole package article packaged in a whole package mode and the target residual article packaged in a bulk mode; determining a target container task from a container task queue according to the target whole package item volume and the target surplus item volume, wherein the container task in the container task queue is determined according to a first container with a container free volume; and completing an item picking task for the target item in the logistics order in response to detecting that the target item is picked to the target first container associated with the target container task. The present disclosure also provides an item sorting device, system, apparatus, medium, and program product.

Description

Method, apparatus, system, apparatus and medium for sorting articles

Technical Field

The present disclosure relates to the field of internet of things and smart logistics, and more particularly, to a method, an apparatus, a system, a device, a medium, and a program product for item sorting.

Background

With the development of scientific and technological technology, intelligent sorting is widely applied to the field of logistics. Related logistics picking systems can automatically allocate order items to one or more empty picking boxes according to the item quantity and the item type of the order items in a logistics order, and an item picking device (such as a picking robot) or related picking personnel can pick corresponding order items to the empty picking boxes according to the item quantity and the item type of the order items allocated to the picking boxes, so that the picking tasks of the order items are realized.

In the process of implementing the concept of the present disclosure, the inventor finds that, in the related art, at least the following problems exist, because order items may be stored in different manners in an area to be picked, and in the process of picking order items in a logistics order, the storage manner of the order items is ignored, so that the picking efficiency is low, the damage rate of the order items in the picking process may be increased, and the degree of intelligence of the overall logistics picking system is low.

Disclosure of Invention

In view of the foregoing, the present disclosure provides an item picking method, apparatus, system, device, medium, and program product.

One aspect of the present disclosure provides a method of item picking, comprising:

determining a target whole package article volume and a target residual article volume of a target article in a logistics order according to order information of the logistics order, wherein the target article comprises the target whole package article packaged in a whole package mode and the target residual article packaged in a bulk mode;

determining a target container task from a container task queue according to the target whole package article volume and the target surplus article volume, wherein the container task in the container task queue is determined according to a first container with a container free volume; and

in response to detecting that a target item in the logistics order is picked to a target first container associated with the target container task, completing an item picking task for the target item.

According to an embodiment of the present disclosure, the item picking method further comprises:

determining a target first receptacle associated with the target receptacle assignment as a second receptacle in response to detecting that the target item in the logistics order is picked to the target first receptacle; and

and under the condition that the container free volume of the second container is larger than zero, updating the container tasks in the container task queue according to the second container to obtain an updated container task queue.

According to an embodiment of the present disclosure, the first container has a container identifier, and the first container includes a plurality of containers;

the above item picking method further comprises:

constructing a container task according to the container empty volume and the container identifier of the first container;

and sequencing the container tasks according to the container free volume of the first container corresponding to each of the container tasks to obtain the container task queue.

According to an embodiment of the present disclosure, the first container includes a container storing an initial target whole package of articles, and an article volume of the initial target whole package of articles is greater than a preset container volume threshold value and smaller than an empty container volume of the first container;

the item picking method further comprises:

determining an initial container as the first container if the first target package of items is picked to the initial container, wherein the initial container comprises an empty container; and

and determining the empty container volume of the first container according to the difference between the empty container volume of the initial container and the product volume of the initial target whole package of products.

According to an embodiment of the present disclosure, the above item picking method further includes:

and determining the target whole package article quantity of the target whole package article and the target allowance article quantity of the target allowance article in the logistics order according to the order information of the logistics order.

According to an embodiment of the present disclosure, the target container task includes a target mixed container task and a target whole package container task;

determining a target container task from the container task queue according to the target whole package article volume and the target surplus article volume comprises the following steps:

determining the occupied volume of the target allowance item according to the product of the target allowance item quantity and the target allowance item volume;

determining a target mixing container task from the container task queue according to the target volume occupied by the surplus objects and the target volume of the whole package of objects, wherein a target first container corresponding to the target mixing container task is used for storing at least one target whole package of objects and the target surplus objects in the logistics order;

determining a second target whole package article quantity according to the difference between the target whole package article quantity and the article quantity of the target whole package article in the target mixing container task; and

and determining the target whole package container task from the container task queue according to the second target whole package article quantity and the target whole package article volume, wherein the target first container corresponding to the target whole package container task is used for storing the target whole package articles in the logistics order.

According to an embodiment of the present disclosure, the target container task includes a target allowance container task and a target whole package container task;

determining a target container task from the container task queue according to the target whole package volume and the target surplus volume comprises:

respectively carrying out space matching on the occupied volume of the target surplus articles and the container vacant volume of the first container corresponding to the container task in the container task queue to obtain a respective space matching result of each container task;

under the condition that the space matching result represents that the target residual quantity object occupying volume is larger than the container vacant volume, creating the target residual quantity container task in the container task queue, wherein a first container corresponding to the target residual quantity container task comprises an empty container which does not store objects; and

and creating the target whole package container task in the container task queue according to the target whole package article quantity and the target whole package article volume, wherein a first container corresponding to the target whole package container task comprises an empty container which does not store articles.

Another aspect of the present disclosure provides an item picking apparatus comprising:

the system comprises a first determining module, a second determining module and a third determining module, wherein the first determining module is used for determining a target whole-pack article volume and a target residual article volume of a target article in a logistics order according to order information of the logistics order, and the target article comprises the target whole-pack article packaged in a whole-pack mode and the target residual article packaged in a bulk mode;

a second determining module, configured to determine a target container task from a container task queue according to the target whole package item volume and the target remaining item volume, where a container task in the container task queue is determined according to a first container having a container empty volume; and

a picking module for completing an item picking task for a target item in the logistics order in response to detecting that the target item is picked to a target first container associated with the target container task.

Another aspect of the present disclosure provides an electronic device including:

one or more processors;

a memory for storing one or more programs,

wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the item picking method as described above.

Another aspect of the disclosure provides a computer-readable storage medium storing computer-executable instructions that, when executed, are for implementing an item picking method as described above.

Another aspect of the disclosure provides a computer program product comprising computer executable instructions that when executed are for implementing an item picking method as described above.

According to the embodiment of the disclosure, the target whole-package article volume and the target surplus article volume of the target article in the logistics order are determined according to the order information in the logistics order, the volume attribute of the target article in the logistics order can be effectively classified reasonably, so that the target whole-package article and the target surplus article in the logistics order can be reasonably distributed into the first container according to the target whole-package article volume and the target surplus article volume in the first container according to the container vacant volume of the first container, the target container task is determined from the container queue, the container vacant volume of the first container corresponding to the container task is fully utilized, the target whole-package article and the target surplus article are reasonably distributed into the first container, the related picking device or picking staff at least partially reduce the unpacking frequency of the target whole-package article, the technical problem that the target article in the logistics order is damaged due to repeated unpacking in the related technology is at least partially avoided, the picking efficiency can be improved by reducing the unpacking frequency of the target whole-package article, the technical effect of keeping the integrity of the target article in the logistics order is further improved, and the client picking level is further improved.

Drawings

The above and other objects, features and advantages of the present disclosure will become more apparent from the following description of embodiments of the present disclosure with reference to the accompanying drawings, in which:

FIG. 1 schematically illustrates an application scenario diagram for picking a target item in a logistics order;

FIG. 2 schematically illustrates an exemplary system architecture to which the item picking method and apparatus may be applied, according to an embodiment of the disclosure;

FIG. 3 schematically illustrates a flow diagram of an item picking method according to an embodiment of the present disclosure;

FIG. 4 schematically illustrates a flow chart for determining a target container task from a queue of container tasks based on a target whole package item volume, a target excess item volume, in accordance with an embodiment of the present disclosure;

FIG. 5 schematically illustrates a flow chart for determining a target container task from a queue of container tasks based on a target whole package item volume, a target excess item volume, according to another embodiment of the present disclosure;

FIG. 6 schematically illustrates a flow diagram of a method of logistics picking in accordance with another embodiment of the present disclosure;

FIG. 7 schematically illustrates a block diagram of an item picking apparatus according to an embodiment of the present disclosure;

fig. 8 schematically illustrates a block diagram of an electronic device suitable for implementing an item picking method in accordance with an embodiment of the present disclosure.

Detailed Description

Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. It should be understood that these descriptions are illustrative only and are not intended to limit the scope of the present disclosure. In the following detailed description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the disclosure. It may be evident, however, that one or more embodiments may be practiced without these specific details. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present disclosure.

The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. The terms "comprises," "comprising," and the like, as used herein, specify the presence of stated features, steps, operations, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, or components.

All terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art unless otherwise defined. It is noted that the terms used herein should be interpreted as having a meaning that is consistent with the context of this specification and should not be interpreted in an idealized or overly formal sense.

Where a convention analogous to "A, B and at least one of C, etc." is used, in general such a construction is intended in the sense one having skill in the art would understand the convention (e.g., "a system having at least one of A, B and C" would include, but not be limited to, systems that have a alone, B alone, C alone, a and B together, a and C together, B and C together, and/or A, B, C together, etc.).

In the field of logistics, picking generally refers to a process in which a distributor of a storage distribution center takes out a product from a stored shelf or a related area according to attribute information of an order, such as a trade name, a specification, a model, and a quantity, required by the order, and then transports the product to a next area, such as a goods handling area.

An aggregation list is issued at the upstream, hundreds of commodities are contained in the aggregation list, the picking action of the commodities is pre-distributed to the box tasks, and then field staff directly carry out code scanning binding and picking actions according to the distributed box tasks. In order to increase the full rate of boxes, multiple types of commodities are put into one box in sequence, and the volume of the commodities occupied in the box reaches the threshold value of each box as much as possible. In order to improve customer satisfaction, putting a plurality of small commodities of the same type in a large commodity in a box is a problem to be solved by the algorithm. For example: 20 individually packaged chocolates are placed in a big bag, so that the big bag is prevented from being disassembled, and 20 chocolates are dispersed in a plurality of boxes, which becomes a problem to be solved.

It should be noted that the container described in the embodiment of the present disclosure may include a picking box for storing articles, or may also include other containers capable of storing articles in the related art, such as a sorting box, a packing box, and the like, and the embodiment of the present disclosure is not limited to a specific type of the container.

Fig. 1 schematically illustrates an application scenario diagram of picking for a target item in a logistics order.

As shown in fig. 1, in this application scenario 100, a main conveyor 110, pick

zone devices

121, 122, a first container conveyor 131, a

second container conveyor

141, 142, and a

storage area

151, 152, 161, 162 may be included. Each of

storage areas

151, 152, 161, 162 may include one or more storage bays, each of which may store a target item having the same item identification, respectively.

According to the order information in the logistics order, container tasks can be respectively allocated to the containers X11, X12, and X13, and each container task can represent a target item to be stored in the corresponding container. The associated picking staff or the automated picking device may retrieve the container assignments corresponding to the containers by scanning the container identification labels of the containers.

For example, container X12 may be transported to pick zone device 121 via first container transfer device 131, and an associated picking worker or automated picking device may retrieve a container order corresponding to container X12 by scanning the container identification tag of container X12, i.e., retrieve a target item to be picked to container X12, and determine a target item in a logistics order from

storage areas

151, 152, completing a picking order for one or more target items in accordance with the container order corresponding to container X12.

In the case where the container X12 completes the task for the container, it may be conveyed back to the main conveyor 110 by the second container conveyor 141, thereby completing the picking task for other kinds of target items in the logistics order.

The inventor finds that in the related item sorting process, the sorting task is not reasonably planned according to the packaging attribute of the target item in the logistics order, so that a large number of target whole-package items need to be split into target surplus items, the work flow of unpacking the target whole-package items is increased, the target item is easily damaged in the unpacking process, and the overall logistics efficiency is low.

Embodiments of the present disclosure provide a method, apparatus, system, device, medium, and program product for item picking. The method comprises the steps of determining a target whole package article volume and a target residual article volume of a target article in a logistics order according to order information of the logistics order, wherein the target article comprises the target whole package article packaged in a whole package mode and the target residual article packaged in a bulk mode; determining a target container task from a container task queue according to the target whole package item volume and the target surplus item volume, wherein the container task in the container task queue is determined according to a first container with a container free volume; and completing an item picking task for the target item in the logistics order in response to detecting that the target item is picked to the target first container associated with the target container task.

According to the embodiment of the disclosure, the target whole-package article volume and the target surplus article volume of the target article in the logistics order are determined according to the order information in the logistics order, the volume attribute of the target article in the logistics order can be effectively classified reasonably, so that the target whole-package article and the target surplus article in the logistics order can be reasonably distributed into the first container according to the target whole-package article volume and the target surplus article volume in the first container according to the container vacant volume of the first container, the target container task is determined from the container queue, the container vacant volume of the first container corresponding to the branch box task is fully utilized, the target whole-package article and the target surplus article are reasonably distributed into the first container, the related picking device or picking staff at least partially reduces the unpacking frequency of the target whole-package article, the technical problem that the target article in the logistics order is damaged due to multiple unpacking in the related technology is at least partially avoided, the picking efficiency can be improved by reducing the unpacking frequency of the target whole-package article, the integrity of the target article can be maintained, the customer experience of the target article in the logistics order is received, and the picking system can be improved in an intelligent manner.

In the technical scheme of the disclosure, before the personal information of the user is acquired or collected, the authorization or the consent of the user is acquired.

In the technical scheme of the disclosure, the collection, storage, use, processing, transmission, provision, disclosure, application and other processing of the personal information of the related user are all in accordance with the regulations of related laws and regulations, necessary confidentiality measures are taken, and the customs of the public order is not violated.

Fig. 2 schematically illustrates an exemplary system architecture to which the item picking method and apparatus may be applied, according to an embodiment of the disclosure. It should be noted that fig. 2 is only an example of a system architecture to which the embodiments of the present disclosure may be applied to help those skilled in the art understand the technical content of the present disclosure, and does not mean that the embodiments of the present disclosure may not be applied to other devices, systems, environments or scenarios.

As shown in fig. 2, the system architecture 200 according to this embodiment may include

terminal devices

201, 202, 203, a network 204 and a server 205. The network 204 serves as a medium for providing communication links between the

terminal devices

201, 202, 203 and the server 205. Network 204 may include various connection types, such as wired and/or wireless communication links, and so forth.

The user may use the

terminal device

201, 202, 203 to interact with the server 205 via the network 204 to receive or send messages or the like. The

terminal devices

201, 202, 203 may have installed thereon various communication client applications, such as a shopping-like application, a web browser application, a search-like application, an instant messaging tool, a mailbox client, and/or social platform software, etc. (by way of example only).

The

terminal devices

201, 202, 203 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like.

The server 205 may be a server providing various services, such as a backend management server (for example only) providing support for websites browsed by users using the

terminal devices

201, 202, 203. The background management server may analyze and perform other processing on the received data such as the user request, and feed back a processing result (e.g., a webpage, information, or data obtained or generated according to the user request) to the terminal device.

It should be noted that the item picking method provided by the embodiment of the present disclosure may be generally executed by the server 205. Accordingly, the item picking apparatus provided by embodiments of the present disclosure may generally be disposed in the server 205. The item picking method provided by the embodiments of the present disclosure may also be performed by a server or server cluster that is different from the server 205 and is capable of communicating with the

terminal devices

201, 202, 203 and/or the server 205. Accordingly, the item picking apparatus provided by the embodiment of the present disclosure may also be disposed in a server or a server cluster different from the server 205 and capable of communicating with the

terminal devices

201, 202, 203 and/or the server 205. Alternatively, the item picking method provided by the embodiment of the present disclosure may also be executed by the

terminal device

201, 202, or 203, or may also be executed by another terminal device different from the

terminal device

201, 202, or 203. Accordingly, the item picking apparatus provided by the embodiment of the present disclosure may also be disposed in the

terminal device

201, 202, or 203, or in another terminal device different from the

terminal device

201, 202, or 203.

For example, the order information of the logistics order may be originally stored in any one of the

terminal devices

201, 202, or 203 (for example, but not limited to, the terminal device 201), or stored on an external storage device and may be imported into the terminal device 201. Then, the terminal device 201 may locally execute the item picking method provided by the embodiment of the present disclosure, or send order information of the logistics order to other terminal devices, servers, or server clusters, and execute the item picking method provided by the embodiment of the present disclosure by other terminal devices, servers, or server clusters receiving the order information of the logistics order.

It should be understood that the number of terminal devices, networks, and servers in fig. 2 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.

FIG. 3 schematically illustrates a flow chart of an item picking method according to an embodiment of the disclosure.

As shown in fig. 3, the item picking method of this embodiment includes operations S310 to S330.

In operation S310, determining a target whole-pack article volume and a target surplus article volume of a target article in a logistics order according to order information of the logistics order, wherein the target article comprises the target whole-pack article packaged in a whole-pack form and the target surplus article packaged in a bulk form;

according to the embodiment of the disclosure, the logistics order may include related attribute information of the target item, such as an item identifier of the target item, a target whole package item volume, a number of the target items required in the logistics order, a storage grid for storing the target item, and the like. The item identification of the target item may be represented by a SKU (Stock Keeping Unit), so that the uniqueness of the target item can be determined.

According to an embodiment of the present disclosure, the target full package of articles may include one or more target excess articles packed in a full package. The target balance items may include target items packaged in bulk form by packing the target whole pack of items. For example, where the target item is brand a chocolate, the target full pack of items may include 20 full packs of items packed in full packs of chocolate and the target balance items may include 1 chocolate packed in bulk.

The storage grid of the target object can store the target whole package of objects and the target residual objects of the target object at the same time, so that the order information of the logistics order can be analyzed to determine the volume of the target whole package of objects and the volume of the target residual objects.

In operation S320, a target container task is determined from a container task queue according to the target entire package item volume and the target remaining item volume, wherein the container task in the container task queue is determined according to a first container having a container empty volume.

According to an embodiment of the disclosure, the container task queue may include a container task, and a first container corresponding to the container task may have a container empty volume for storing a target item, and the container task is used for characterizing a target whole package of items and/or a target surplus item to be picked in the first container corresponding to the container task.

According to the target whole package article volume and the target surplus article volume, a first container used for storing the target whole package article and the target surplus article in the logistics order can be determined from the container task queue, and then the target container task is determined according to the corresponding relation between the first container and the container task.

It should be noted that the first container corresponding to the container task may include a container already storing the article, or may further include an empty container not storing the article, and a person skilled in the art may determine the corresponding relationship between the container task and the first container according to actual situations.

In operation S330, in response to detecting that a target item in the logistics order is picked to a target first container associated with the target container task, an item picking task for the target item is completed.

According to the embodiment of the disclosure, after the target container task is determined, the related picking device or the related picking staff may pick the target whole package of items and the target surplus items in the logistics order to the first container corresponding to the target container task according to the target container task, so that the first container corresponding to the target container task may complete the picking task for the target items in the logistics order.

When a plurality of types of target items are included in a physical distribution order, the above-described item sorting method can be used to sort the plurality of types of target items.

According to the embodiment of the disclosure, the target whole-package article volume and the target surplus article volume of the target article in the logistics order are determined according to the order information in the logistics order, the volume attribute of the target article in the logistics order can be effectively classified reasonably, so that the target whole-package article and the target surplus article in the logistics order can be reasonably distributed into the first container according to the target whole-package article volume and the target surplus article volume in the first container according to the container vacant volume of the first container, the target container task is determined from the container queue, the container vacant volume of the first container corresponding to the container task is fully utilized, the target whole-package article and the target surplus article are reasonably distributed into the first container, the related picking device or picking staff at least partially reduce the unpacking frequency of the target whole-package article, the technical problem that the target article in the logistics order is damaged due to multiple unpacking in the related technology is at least partially avoided, the picking efficiency can be improved by reducing the unpacking frequency of the target whole-package article, the customer integrity of the target article can be maintained, and the customer experience of picking of the target article can be improved, and the picking level can be further improved.

According to an embodiment of the present disclosure, the first container has a container identification, and the first container includes a plurality.

The item picking method may further include the following operations.

Constructing a container task according to the container empty capacity and the container identification of the first container; and sequencing the plurality of container tasks according to the container free volume of the first container corresponding to each of the plurality of container tasks to obtain a container task queue.

According to the embodiment of the present disclosure, the container identifier may be determined by presetting each first container, and the container identifier may be mounted on the first container in an electronic tag manner, so that the corresponding relationship between the first container and the container task, that is, the container task, may be established by an associated electronic tag scanning device (e.g., an electronic tag scanning gun).

The method comprises the steps of constructing container tasks according to container free volumes and container identifications of first containers, enabling the container tasks to form corresponding relations with the first containers, determining the first container with the largest container free volume as a first container in a first sequence according to the container free volumes of the first containers corresponding to the container tasks respectively, sequencing the first containers in sequence according to the container free volumes of the first containers to obtain a sequencing result of the first containers, and sequencing the container tasks according to the sequencing result of the first containers to obtain a container task queue.

It should be understood that the plurality of container tasks are sequenced according to the container vacant volumes of the first containers corresponding to the plurality of container tasks, and the first containers corresponding to the sequenced first container tasks in the obtained container task queue have larger container vacant volumes than the container vacant volumes of the other first containers, so that the first containers can be arranged according to the sequence of the container task queue, and therefore, when the related picking devices pick the target articles, the target articles can be picked by the sequenced first target containers first, and the situation that the target containers are frequently determined to increase the picking time is avoided, and therefore, the article picking efficiency is improved.

According to an embodiment of the present disclosure, the first container comprises a container storing an initial target full pack of items, the item volume of the initial target full pack of items being greater than a preset container volume threshold and less than an empty container volume of the first container.

The item picking method may further include the following operations.

Determining the initial container as a first container in the event that the first target package of items is picked to the initial container, wherein the initial container comprises an empty container; and determining the container empty volume of the first container according to the difference between the empty container volume of the initial container and the product volume of the initial target whole package of products.

According to an embodiment of the present disclosure, the initial target package of items may include the target package of items in the logistics order. The preset container volume threshold may be determined according to an empty container volume of the first container, for example, 50% of the empty container volume of the first container may be set as the preset container volume threshold, and when the article volume of the initial target whole package of articles is greater than the preset container volume threshold and smaller than the empty container volume of the first container, there may be a container empty volume in the first container in which the initial target whole package of articles is stored to store other target whole packages of articles and/or target surplus articles in the logistics order, so that the container volume of the first container may be fully utilized to store more target articles, the number of containers for storing target articles in the logistics order is reduced, the frequency of subsequent container packing operations of the containers is reduced, and further, the technical effect of improving the logistics efficiency is achieved.

It should be noted that the preset container volume threshold may be set according to actual requirements, for example, the preset container volume threshold may also be set to be 50% of the empty container volume of the first container, or the preset container volume threshold may also be dynamically adjusted according to the actual logistics order picking situation, so that the adaptability of the logistics picking method to the actual logistics picking application scenario is enhanced, and the logistics efficiency is further improved.

According to embodiments of the present disclosure, the item picking method may further include the following operations.

Determining the target first container as a second container in response to detecting that the target item in the logistics order is picked to the target first container associated with the target container task; and under the condition that the container free volume of the second container is larger than zero, updating the container tasks in the container task queue according to the second container to obtain an updated container task queue.

According to the embodiment of the disclosure, in the case that a plurality of types of target items are included in the logistics order, for example, the plurality of target items in the logistics order respectively have different SKUs, and the target items with the same SKU may be stored in the same storage bay. The relevant picking device can pick the target items with the same logistics identification according to the container task queue, so that the picking tasks for the target items in the logistics order are completed.

After the target first container stores the target item, the target first container may be determined as a second container, and when the container empty volume of the target first container is greater than zero, the second container may be used to update the container task in the container task queue, that is, update the container empty volume of the container task corresponding to the second container, thereby updating the container task in the container task queue to obtain an updated container task queue.

According to the embodiment of the disclosure, in the case that the sorting of the container task queues is performed according to the container empty volumes of the second containers corresponding to the container tasks, the container tasks may be sorted according to the updated container empty volumes corresponding to the container tasks, so as to further update the container task queues, so that the updated container task queues may maintain the arrangement order of the container empty volumes of the corresponding second containers, so as to further improve the picking efficiency of the subsequent target items.

According to the embodiment of the disclosure, the order information of the logistics order may record the target items to be picked in the form of the target surplus items, for example, the order information of the logistics order may include 43 pieces of brand a chocolate, the target items may be determined to be the brand a chocolate according to the order information, and the target whole package items of the brand a chocolate may be determined to be 20 pieces of one package by the pre-stored packaging attribute information of the brand a chocolate, that is, the target whole package items of the brand a chocolate include 20 pieces of chocolate, so that the target whole package items of the brand a chocolate may be determined to be 2 packages, and the number of the target surplus items is 3.

According to the embodiment of the disclosure, the target whole package article quantity and the target residual article quantity in the logistics order can be determined by analyzing the order information of the logistics order, so that a foundation can be laid for the subsequent task of determining the target container according to the target whole package article quantity and the target residual article quantity, and the unpacking frequency of the target whole package article can be reduced.

According to an embodiment of the present disclosure, the target container task includes a target mix container task and a target whole package container task.

Fig. 4 schematically illustrates a flow chart for determining a target container task from a queue of container tasks according to a target whole package item volume, a target excess item volume, according to an embodiment of the present disclosure.

As shown in fig. 4, the operation S320 of determining the target container task from the container task queue according to the target entire package item volume and the target surplus item volume may include operations S410 to S440.

In operation S410, a target backlog occupancy volume is determined based on a product of the target amount of the backlog and the target volume of the backlog.

In operation S420, a target mixing container task is determined from the container task queue according to the target volume occupied by the remaining amount items and the target volume of the whole package of items, wherein a target first container corresponding to the target mixing container task is used for storing at least one target whole package of items and the target remaining amount items in the logistics order.

In operation S430, a second target quantity of whole packages of items is determined according to the difference between the target quantity of whole packages of items and the quantity of items of the target whole packages of items in the target mixing-container task.

In operation S440, a target whole package container task is determined from the container task queue according to the second target whole package quantity and the target whole package volume, where a target first container corresponding to the target whole package container task is used for storing the target whole package items in the logistics order.

According to an embodiment of the present disclosure, a target container corresponding to a target mix container task includes a first container for storing a target whole package of items and a target surplus item, and a target container corresponding to a target whole package container task includes a first container for storing a target whole package of items.

According to embodiments of the present disclosure, the target excess item occupancy volume may represent a container volume occupied by the target excess item in the logistics order. According to the sum of the volume occupied by the target surplus objects and the volume occupied by the target whole package of objects, the container volume occupied by the target surplus objects and at least one target whole package of objects in the logistics order can be determined, and according to the container volume, the target first container capable of storing the target surplus objects and at least one target whole package of objects in the logistics order can be determined from the container task queue, so that the target surplus objects and the at least one target whole package of objects with the same logistics identifier in the logistics order are stored in the same target first container, a client can conveniently and quickly sort the target objects with the same object identifier after receiving the target mixing container corresponding to the logistics order, and the target surplus objects can be prevented from being forgotten by related picking devices or related picking workers, and accordingly the subsequent picking accuracy is improved.

According to the embodiment of the disclosure, a target whole package container task is determined from the container task queue according to a second target whole package article quantity and a target whole package article volume, and the target whole package articles can be sorted according to the container vacant volume of the target first container corresponding to the container task and the second target whole package article quantity, so that the quantity of the target whole package articles required to be stored in each target first container is determined, and then a target mixed container task is determined according to the allocated target first container, so that the target whole package articles can be reasonably sorted into the target first container.

According to an embodiment of the present disclosure, the target container task includes a target margin container task and a target whole package container task.

Fig. 5 schematically illustrates a flow chart for determining a target container task from a queue of container tasks according to a target whole package item volume, a target excess item volume, according to another embodiment of the present disclosure.

As shown in fig. 5, the operation S320 of determining the target container task from the container task queue according to the target entire package item volume and the target surplus item volume may include operations S510 to S540.

In operation S510, a target backlog occupancy volume is determined based on a product of the target amount of the backlog and the target volume of the backlog.

In operation S520, the space matching is performed on the occupied volume of the target remaining quantity item and the container empty volume of the first container corresponding to each container task in the container task queue, so as to obtain a space matching result of each container task.

In operation S530, in a case that the space matching result indicates that the target empty container occupied volume is greater than the container empty volume, a target empty container task is created in the container task queue, where a first container corresponding to the target empty container task includes an empty container not storing an item.

In operation S540, a target whole package container task is created in the container task queue according to the target whole package item number and the target whole package item volume, where a first container corresponding to the target whole package container task includes an empty container not storing items.

According to the embodiment of the disclosure, the container empty volume of the first container corresponding to each container task in the container task queue can be compared with the target residual article occupation volume, so that space matching is realized. In this way, it can be determined from the respective space matching result of each container task that the target remaining amount article occupation volume is greater than the container empty volume of the first container corresponding to the container task, and in this case, it can be known that the first container corresponding to each picking task of the picking task queue does not have the container empty volume for storing the target remaining amount article. Therefore, a target allowance container task needs to be created in a container task queue, an empty container corresponding to the target allowance container task can be used for storing target allowance articles in the logistics order, the target allowance articles in the logistics order are prevented from being stored in different containers, picking efficiency is improved, meanwhile, a follow-up client is prevented from searching the target allowance articles in the logistics order from the different containers after receiving the containers, and logistics efficiency of the whole logistics process is improved.

Fig. 6 schematically illustrates a flow diagram of a logistics picking method in accordance with another embodiment of the present disclosure.

As shown in fig. 6, the logistics picking method includes: operation S610 to operation S690.

In operation S610, item attribute information of a target item in a logistics order is determined according to the logistics order. The article attribute information may include an article identification of the target article, a quantity of the target article, a packaging attribute of the target article, a target full package article volume and a target excess article volume of the target article, and the like.

In operation S620, an initial target whole package of articles is determined according to the article attribute information of the target article in the logistics order. The target whole package of articles with the article volume larger than the preset container volume threshold and smaller than the empty container volume of the first container can be determined as the initial target whole package of articles according to the article attribute information of the target articles.

In this embodiment, the preset container volume threshold may be set to 50% empty container volume of the first container.

In operation S630, a container empty volume of the first container is determined based on the initial target package of items. The container empty volume of the first container may be determined by pre-allocating the initial target package of items into an empty container based on the container identification of the empty container and the item volume of the initial target package of items.

In operation S640, a container task queue is built according to the first container. The container tasks corresponding to each first container may be constructed according to the respective container identifier of the first container, and the container tasks are ordered according to the respective container free volume of the first container, so as to construct a container task queue.

In operation S650, it is determined whether a target margin item exists for the target item in the logistics order. The quantity of the target surplus articles contained in the target whole package of the target article can be determined through the article attribute information of the target article, so that whether the target surplus articles exist in the logistics order or not can be determined.

For example, where the target item is brand a chocolate, the item attribute information may include that the brand a chocolate is a 20 chocolate pack. The number of orders for the brand a chocolate in the logistics order is 43, so that it can be determined that the target balance item exists for the target item brand a chocolate in the logistics order, and the number of the target balance item can be determined to be 3.

If the determination result is negative, operation S660 is performed to determine the target whole packet container task from the container task queue. That is, the target whole package container task for storing the target whole package of items can be determined from the container task queue according to the empty container volumes corresponding to the container tasks, so that the target first container corresponding to the target whole package container task can be used for storing the target whole package of items in the logistics order.

It should be noted that, in the case that the target whole package article volume is larger than the container empty volume of each first container, the target first container may be created by using the container identifier of the empty container, and the target whole package container task may be created by using the created target first container, and the created target whole package container task may be added to the container task queue.

If the determination result is yes, operation S670 is performed to determine whether the target remaining amount item and the target full package item exist. Namely, whether the target object in the logistics order simultaneously comprises the target whole package object and the target surplus object is judged.

In the case that the judgment result is negative, it may be determined that only the target surplus articles exist in the target articles in the logistics order. Operation S680 may be performed to create a target headroom container task in the container task queue.

For example, in the case where the target item is brand a chocolate, the target amount item number is 3, and in the case where the target amount item occupying volume is larger than the container empty volume of the first container corresponding to each container task in the container task queue, the target amount container task may be created in the container task queue, and the target amount item in the logistics order may be stored using the empty container corresponding to the target amount container task.

In the case where the target empty space occupied by the empty space is smaller than the empty space of the first container corresponding to the container task, the target empty space can be allocated to the container task corresponding to the first container, thereby realizing the task of creating the target empty space container.

If the determination result is yes, operation S690 is performed to determine a target mixing container task from the container task queue. The container empty volume of the target first container corresponding to the target mixing container task may store at least one target whole package of items and a target excess amount of items.

In the picking order queue, in the case that the empty container volume of the first container corresponding to each container order cannot store at least one target whole package of items and target surplus items, a new target mixed container order may be created and added to the container order queue, and the newly created target mixed container order may correspond to an empty container.

Fig. 7 schematically illustrates a block diagram of an item picking apparatus according to an embodiment of the present disclosure.

As shown in fig. 7, item picking apparatus 700 may include a first determination module 710, a second determination module 720, and a picking module 730.

The first determining module 710 is configured to determine a target whole-pack item volume and a target excess item volume of a target item in a logistics order according to order information of the logistics order, wherein the target item includes the target whole-pack item packaged in a whole-pack form and the target excess item packaged in a bulk form.

The second determining module 720 is configured to determine a target container task from the container task queue according to the target whole package item volume and the target remaining item volume, where the container task in the container task queue is determined according to the first container with the container empty volume.

The picking module 730 is to complete an item picking task for a target item in the logistics order in response to detecting that the target item is picked to a target first container associated with the target container task.

According to an embodiment of the present disclosure, the logistics picking apparatus further comprises: a third determination module and a first update module.

The third determination module is to determine the target first container as the second container in response to detecting that the target item in the logistics order is picked to the target first container associated with the target container task.

And the first updating module is used for updating the container tasks in the container task queue according to the second container under the condition that the container free volume of the second container is larger than zero to obtain an updated container task queue.

According to an embodiment of the present disclosure, a first container has a container identification, the first container including a plurality;

the item picking apparatus further comprises: the device comprises a first building module and a sorting module.

The first construction module is used for constructing the container task according to the container empty volume and the container identification of the first container.

The sequencing module is used for sequencing the plurality of container tasks according to the container free volume of the first container corresponding to each of the plurality of container tasks to obtain a container task queue.

The item picking apparatus further comprises: a fourth determination module and a fourth determination module.

The fourth determination module is to determine the initial container as the first container if the first target package of items is picked to the initial container, wherein the initial container comprises an empty container.

The fourth determining module is used for determining the empty container volume of the first container according to the difference between the empty container volume of the initial container and the article volume of the initial target whole package of articles.

According to an embodiment of the present disclosure, the item picking apparatus further includes a quantity determination module.

The quantity determining module is used for determining the target whole package article quantity of the target whole package article and the target allowance article quantity of the target allowance article in the logistics order according to the order information of the logistics order.

The second determining module includes: the device comprises a first determining unit, a second determining unit, a third determining unit and a fourth determining unit.

The first determining unit is configured to determine a target excess item occupancy volume based on a product of the target excess item quantity and the target excess item volume.

The second determining unit is used for determining a target mixing container task from the container task queue according to the target volume occupied by the surplus articles and the target volume of the whole packages of articles, wherein the target first container corresponding to the target mixing container task is used for storing at least one target whole package of articles and the target surplus articles in the logistics order.

The third determining unit is used for determining a second target whole package article quantity according to the difference between the target whole package article quantity and the article quantity of the target whole package article in the target mixing container task.

And the fourth determining unit is used for determining a target whole package container task from the container task queue according to the second target whole package article quantity and the target whole package article volume, wherein the target first container corresponding to the target whole package container task is used for storing the target whole package articles in the logistics order.

The second determining module includes: the device comprises a fifth determining unit, a matching unit, a first creating unit and a second creating unit.

The fifth determining unit is used for determining the target volume occupied by the residual articles according to the product of the target quantity of the residual articles and the target volume of the residual articles.

The matching unit is used for respectively carrying out space matching on the occupied volume of the target surplus articles and the container vacant volume of the first container corresponding to the container task in the container task queue to obtain the respective space matching result of each container task.

The first creating unit is used for creating a target surplus container task in the container task queue under the condition that the space matching result represents that the occupied volume of the target surplus item is larger than the empty volume of the container, wherein a first container corresponding to the target surplus container task comprises an empty container which does not store the item.

The second creating unit is used for creating a target whole package container task in the container task queue according to the target whole package item quantity and the target whole package item volume, wherein a first container corresponding to the target whole package container task comprises an empty container which does not store the item.

Any of the modules, units, or at least part of the functionality of any of them according to embodiments of the present disclosure may be implemented in one module. Any one or more of the modules and units according to the embodiments of the present disclosure may be implemented by being split into a plurality of modules. Any one or more of the modules, units according to the embodiments of the present disclosure may be implemented at least partially as a hardware circuit, such as a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a system on a chip, a system on a substrate, a system on a package, an Application Specific Integrated Circuit (ASIC), or may be implemented by any other reasonable means of hardware or firmware by integrating or packaging the circuits, or in any one of three implementations of software, hardware and firmware, or in any suitable combination of any of them. Alternatively, one or more of the modules, units according to embodiments of the present disclosure may be implemented at least partly as computer program modules, which when executed, may perform corresponding functions.

For example, any number of the first determination module 710, the second determination module 720, and the culling module 730 may be combined in one module/unit or any one of the modules/units may be split into multiple modules/units. Alternatively, at least part of the functionality of one or more of these modules/units/sub-units may be combined with at least part of the functionality of other modules/units/sub-units and implemented in one module/unit. According to an embodiment of the present disclosure, at least one of the first determining module 710, the second determining module 720, and the sorting module 730 may be implemented at least in part as a hardware circuit, such as a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a system on a chip, a system on a substrate, a system on a package, an Application Specific Integrated Circuit (ASIC), or may be implemented in hardware or firmware in any other reasonable manner of integrating or packaging a circuit, or in any one of or a suitable combination of software, hardware, and firmware implementations. Alternatively, at least one of the first determining module 710, the second determining module 720 and the culling module 730 may be at least partially implemented as a computer program module that, when executed, may perform a corresponding function.

It should be noted that the item sorting device portion in the embodiment of the present disclosure corresponds to the item sorting method portion in the embodiment of the present disclosure, and the description of the item sorting device portion specifically refers to the item sorting method portion, and is not repeated herein.

According to the item picking apparatus or the item picking method of the above embodiment, an embodiment of the present disclosure also provides an item picking system including: item picking devices and item storage areas.

The item picking apparatus is adapted to perform the item picking method in the above-described embodiment.

The item storage area is adapted to store target items, wherein the target items include target full packs of items packaged in full packs, and target balance items packaged in bulk.

According to the embodiment of the disclosure, the item picking device may create a corresponding container task queue for the target item in the logistics order by executing the item picking method in the above embodiment, so that the related automatic picking device or the related picking worker may determine the target parcel item and the target surplus item in the logistics order from the item storage area, and pick the target parcel item and the target surplus item in the logistics order into the container corresponding to the container task according to the container task, thereby completing the picking task of the target item in the logistics order.

According to an embodiment of the present disclosure, an item storage area includes a plurality of item picking areas, the item picking areas adapted to store target items having the same target item identification.

The item picking area includes: a first item picking sub-area and a second item picking sub-area.

The first item-picking sub-region is adapted to store a target entire package of items.

The second item picking sub-region is adapted to store a target surplus item. In the item storage area, the plurality of first item picking sub-areas are sorted according to the whole package item volume of the target whole package items associated with the first item picking sub-areas, and the plurality of second item picking sub-areas are sorted according to the surplus item volume of the target surplus items associated with the second item picking sub-areas.

According to an embodiment of the present disclosure, a target whole package of items having a plurality of item identifications may be stored in the first item picking sub-area, i.e., a plurality of kinds of target whole package of items may be stored. Accordingly, multiple categories of target surplus items may also be stored in the second item picking sub-region.

The method comprises the steps of sorting a plurality of types of target whole packages of articles related to a first article picking sub-area according to whole package article volumes, sorting a plurality of types of target surplus articles related to a second article picking sub-area according to surplus article volumes, and quickly determining the target whole packages of articles and/or the target surplus articles with the minimum volume when container tasks are correspondingly conveyed to the first article picking sub-area and/or the second article picking sub-area, so that the picking tasks of the target articles can be quickly realized according to the empty container volume sorting corresponding to the container tasks in a container task queue, the process that the target whole packages of articles and/or the target surplus articles are frequently needed is avoided, and the overall picking efficiency of an article picking system is improved.

Fig. 8 schematically illustrates a block diagram of an electronic device suitable for implementing an item picking method in accordance with an embodiment of the present disclosure. The electronic device shown in fig. 8 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.

As shown in fig. 8, an electronic device 800 according to an embodiment of the present disclosure includes a processor 801 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 802 or a program loaded from a storage section 808 into a Random Access Memory (RAM) 803. The processor 801 may include, for example, a general purpose microprocessor (e.g., a CPU), an instruction set processor and/or associated chipset, and/or a special purpose microprocessor (e.g., an Application Specific Integrated Circuit (ASIC)), among others. The processor 801 may also include onboard memory for caching purposes. The processor 801 may include a single processing unit or multiple processing units for performing different actions of the method flows according to embodiments of the present disclosure.

In the RAM 803, various programs and data necessary for the operation of the electronic apparatus 800 are stored. The processor 801, the ROM 802, and the RAM 803 are connected to each other by a bus 804. The processor 801 performs various operations of the method flow according to the embodiments of the present disclosure by executing programs in the ROM 802 and/or the RAM 803. Note that the programs may also be stored in one or more memories other than the ROM 802 and RAM 803. The processor 801 may also perform various operations of method flows according to embodiments of the present disclosure by executing programs stored in the one or more memories.

Electronic device 800 may also include input/output (I/O) interface 805, input/output (I/O) interface 805 also connected to bus 804, according to an embodiment of the present disclosure. The system 800 may also include one or more of the following components connected to the I/O interface 805: an input portion 806 including a keyboard, a mouse, and the like; an output section 807 including a signal such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage section 808 including a hard disk and the like; and a communication section 809 including a network interface card such as a LAN card, a modem, or the like. The communication section 809 performs communication processing via a network such as the internet. A drive 810 is also connected to the I/O interface 805 as necessary. A removable medium 811 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 810 as necessary, so that a computer program read out therefrom is mounted on the storage section 808 as necessary.

According to an embodiment of the present disclosure, the method flow according to an embodiment of the present disclosure may be implemented as a computer software program. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable storage medium, the computer program containing program code for performing the method illustrated by the flow chart. In such an embodiment, the computer program can be downloaded and installed from a network through the communication section 809 and/or installed from the removable medium 811. The computer program, when executed by the processor 801, performs the above-described functions defined in the system of the embodiments of the present disclosure. The above described systems, devices, apparatuses, modules, units, etc. may be implemented by computer program modules according to embodiments of the present disclosure.

The present disclosure also provides a computer-readable storage medium, which may be contained in the apparatus/device/system described in the above embodiments; or may exist separately and not be assembled into the device/apparatus/system. The computer-readable storage medium carries one or more programs which, when executed, implement the method according to an embodiment of the disclosure.

According to an embodiment of the present disclosure, the computer-readable storage medium may be a non-volatile computer-readable storage medium. Examples may include, but are not limited to: 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), 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 disclosure, 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.

For example, according to embodiments of the present disclosure, a computer-readable storage medium may include the ROM 802 and/or RAM 803 described above and/or one or more memories other than the ROM 802 and RAM 803.

Embodiments of the present disclosure also include a computer program product comprising a computer program containing program code for performing the method provided by embodiments of the present disclosure, which, when the computer program product is run on an electronic device, is adapted to cause the electronic device to carry out the method of item picking provided by embodiments of the present disclosure.

The computer program, when executed by the processor 801, performs the above-described functions defined in the system/apparatus of the embodiments of the present disclosure. The above described systems, devices, modules, units, etc. may be implemented by computer program modules according to embodiments of the present disclosure.

In one embodiment, the computer program may be hosted on a tangible storage medium such as an optical storage device, a magnetic storage device, and the like. In another embodiment, the computer program may also be transmitted in the form of a signal, distributed over a network medium, downloaded and installed via communications portion 809, and/or installed from removable media 811. The computer program containing program code may be transmitted using any suitable network medium, including but not limited to: wireless, wired, etc., or any suitable combination of the foregoing.

In accordance with embodiments of the present disclosure, program code for executing computer programs provided by embodiments of the present disclosure may be written in any combination of one or more programming languages, and in particular, these computer programs may be implemented using high level procedural and/or object oriented programming languages, and/or assembly/machine languages. The programming language includes, but is not limited to, programming languages such as Java, C + +, python, the "C" language, or the like. The program code may execute entirely on the user computing device, partly on the user device, partly on a remote computing device, or entirely on the remote computing device or server. In situations involving remote computing devices, the remote computing devices may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to external computing devices (e.g., through the internet using an internet service provider).

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 disclosure. 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 or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems that perform the specified functions or acts, or combinations of special purpose hardware and computer instructions. Those skilled in the art will appreciate that various combinations and/or combinations of features recited in the various embodiments and/or claims of the present disclosure can be made, even if such combinations or combinations are not expressly recited in the present disclosure. In particular, various combinations and/or combinations of the features recited in the various embodiments and/or claims of the present disclosure may be made without departing from the spirit or teaching of the present disclosure. All such combinations and/or associations are within the scope of the present disclosure.

The embodiments of the present disclosure have been described above. However, these examples are for illustrative purposes only and are not intended to limit the scope of the present disclosure. Although the embodiments are described separately above, this does not mean that the measures in the embodiments cannot be used in advantageous combination. The scope of the disclosure is defined by the appended claims and equivalents thereof. Various alternatives and modifications can be devised by those skilled in the art without departing from the scope of the present disclosure, and such alternatives and modifications are intended to be within the scope of the present disclosure.

Claims

1. A method of item picking comprising:

determining a target whole package article volume and a target residual amount article volume of a target article in a logistics order according to order information of the logistics order, wherein the target article comprises the target whole package article packaged in a whole package mode and the target residual amount article packaged in a bulk mode;

determining a target container task from a container task queue according to the target whole package item volume and the target surplus item volume, wherein the container task in the container task queue is determined according to a first container with a container free volume; and

completing an item picking task for a target item in the logistics order in response to detecting that the target item is picked to a target first container associated with the target container task.

2. The method of claim 1, further comprising:

determining a target first container in the logistics order as a second container in response to detecting that the target item is picked to the target first container associated with the target container task; and

3. The method of claim 1 or 2, wherein the first container has a container identification, the first container comprising a plurality;

the item picking method further comprises:

constructing a container task according to the container empty capacity and the container identification of the first container;

4. The method of claim 3, wherein the first container comprises a container storing an initial target full pack of items having an item volume greater than a preset container volume threshold and less than an empty container volume of the first container;

the item picking method further includes:

5. The method of claim 1, further comprising:

and determining the target whole package article quantity of the target whole package article and the target residual article quantity of the target residual article in the logistics order according to the order information of the logistics order.

6. The method of claim 5, wherein the target container task comprises a target mix container task and a target whole package container task;

determining a target container task from a container task queue according to the target whole package article volume and the target surplus article volume comprises the following steps:

determining a target mixing container task from the container task queue according to the target volume occupied by the surplus articles and the target volume of the whole package of articles, wherein a target first container corresponding to the target mixing container task is used for storing at least one target whole package of articles and the target surplus articles in the logistics order;

determining a second target whole package of articles according to the difference between the target whole package of articles and the article quantity of the target whole package of articles in the target mixing container task; and

7. The method of claim 5, wherein the target container task comprises a target headroom container task and a target full package container task;

determining a target container task from a container task queue according to the target whole package item volume and the target surplus item volume comprises the following steps:

and creating the target whole package container task in the container task queue according to the target whole package item quantity and the target whole package item volume, wherein a first container corresponding to the target whole package container task comprises an empty container which does not store the items.

8. An item picking device comprising:

the system comprises a first determination module, a second determination module and a third determination module, wherein the first determination module is used for determining a target whole-pack article volume and a target residual article volume of a target article in a logistics order according to order information of the logistics order, and the target article comprises the target whole-pack article packaged in a whole-pack mode and the target residual article packaged in a bulk mode;

a second determining module, configured to determine a target container task from a container task queue according to the target whole package item volume and the target surplus item volume, where a container task in the container task queue is determined according to a first container having a container empty volume; and

a picking module to complete an item picking task for a target item in the logistics order in response to detecting that the target item is picked to a target first container associated with the target container task.

9. An electronic device, comprising:

one or more processors;

a memory for storing one or more programs,

wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method of any of claims 1-7.

10. A computer readable storage medium having stored thereon executable instructions which, when executed by a processor, cause the processor to carry out the method of any one of claims 1 to 7.

11. A computer program product comprising a computer program which, when executed by a processor, implements the method according to any one of claims 1 to 7.