CN115456535A

CN115456535A - Processing method, device and equipment for sorting articles and storage medium

Info

Publication number: CN115456535A
Application number: CN202211138248.5A
Authority: CN
Inventors: 李林枫; 张小梅; 杨威
Original assignee: Shanghai Quicktron Intelligent Technology Co Ltd
Current assignee: Shanghai Quicktron Intelligent Technology Co Ltd
Priority date: 2022-09-19
Filing date: 2022-09-19
Publication date: 2022-12-09

Abstract

The invention discloses a processing method, a device, equipment and a storage medium for item sorting. The method comprises the steps of determining the ex-warehouse frequency of different types of articles; determining the target type of goods out of which the out-of-warehouse frequency exceeds the preset frequency from the different types of goods, and indicating the transportation equipment to move the target type of goods out of the warehouse to a reserved position for caching; and when the target class warehouse-out article is contained in the task to be processed, indicating to pick the target class warehouse-out article from the reserved position. The technical scheme of the invention effectively reduces the carrying times of the transportation equipment and improves the manual operation efficiency.

Description

Processing method, device and equipment for selecting articles and storage medium

Technical Field

The invention relates to the technical field of warehouse article processing, in particular to a processing method, a device, equipment and a storage medium for article sorting.

Background

At any time, more and more customers select a solution of 'goods to people', and what follows is how to efficiently use an Automated Guided Vehicle (AGV) with high profit, especially in some large-scale electric market scenes, most SKUs (Stock Keeping Unit) are very long-tailed (the number of times of warehouse-out per day and reduction are very few), but some SKUs with very fast movement and sale are also existed, and frequent transportation is often occurred when AGVs are used for the SKUs, so that the resources of the AGVs are greatly consumed.

Disclosure of Invention

The invention provides a processing method, a device, equipment and a storage medium for picking articles, which are used for effectively reducing the carrying times of transportation equipment and improving the manual operation efficiency.

According to an aspect of the invention, there is provided a method of handling item picking, comprising:

determining the ex-warehouse frequency of different types of articles;

determining the target type of goods out of which the out-of-warehouse frequency exceeds the preset frequency from the different types of goods, and indicating the transportation equipment to move the target type of goods out of the warehouse to a reserved position for caching;

and when the target class ex-warehouse article is contained in the task to be processed, indicating to pick the target class ex-warehouse article from the reserved position.

According to another aspect of the present invention, there is provided a processing apparatus for item picking, comprising:

the ex-warehouse frequency determining module is used for determining the ex-warehouse frequency of different types of articles;

the article caching module is used for determining the target articles with the ex-warehouse frequency exceeding the preset frequency from the different articles and indicating the transportation equipment to move the target articles to the reserved position for caching;

and the article picking indication module is used for indicating that the target ex-warehouse article is picked from the reserved position when the target ex-warehouse article is contained in the task to be processed.

According to another aspect of the present invention, there is provided an electronic apparatus including:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein, the first and the second end of the pipe are connected with each other,

the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to enable the at least one processor to perform a method of item picking according to any embodiment of the present invention.

According to another aspect of the present invention, there is provided a computer readable storage medium storing computer instructions for causing a processor to implement a method of item picking according to any one of the embodiments of the present invention when executed.

According to the technical scheme of the embodiment of the invention, the ex-warehouse frequency of different types of articles is determined; determining target class articles with the ex-warehouse frequency exceeding the preset frequency from different classes of articles, and indicating the transportation equipment to move the target class articles out of the warehouse to a reserved position for caching; when the tasks to be processed comprise the target type warehouse-out articles, the target type warehouse-out articles are indicated to be selected from the reserved positions.

It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present invention, nor do they necessarily limit the scope of the invention. Other features of the present invention will become apparent from the following description.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the description below are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.

Fig. 1a is a flowchart of a method for picking items according to an embodiment of the present invention;

fig. 1b is an exemplary diagram of an application scenario in which a target type of out-of-warehouse article is temporarily stored to a reserved position according to an embodiment of the present invention;

fig. 2 is a flowchart of another item picking processing method according to a second embodiment of the present invention;

fig. 3 is a schematic structural diagram of an article picking processing apparatus according to a third embodiment of the present invention;

fig. 4 is a schematic structural diagram of an electronic device implementing a processing method for picking items according to an embodiment of the present invention.

Detailed Description

In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

It should be noted that the terms "object," "original," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Moreover, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

Example one

Fig. 1a is a flowchart of a processing method for picking items according to an embodiment of the present invention, where the embodiment is applicable to a case of processing high-frequency outbound items, the method may be executed by an item picking processing apparatus, the item picking processing apparatus may be implemented in a form of hardware and/or software, and the item picking processing apparatus may be configured in a server of a goods-to-people system. As shown in fig. 1a, the method comprises:

and S110, determining the ex-warehouse frequency of different types of articles.

Wherein, the article may refer to a warehouse stored article, etc. The ex-warehouse frequency can be used for reflecting the ex-warehouse frequency of the articles.

In this embodiment, before the picking process is performed on the stored items in the warehouse, the frequency of the items leaving the warehouse may be estimated and determined in advance for different types of items in the warehouse.

In an alternative embodiment, determining the ex-warehouse frequency of different types of articles may include: acquiring historical ex-warehouse data of the different types of articles; and determining the ex-warehouse frequency of the different types of articles according to the historical ex-warehouse data.

The historical ex-warehouse data can comprise ex-warehouse time, ex-warehouse times and ex-warehouse quantity. Historical ex-warehouse data may be obtained from a database of completed tasks that is recorded in the customer dimension.

In general, the frequency of the ex-warehouse of different types of articles in the warehouse may be determined at a specific time, wherein the specific time may be, for example, a holiday or the like. For example, the warehouse-out frequency and the warehouse-out quantity of different types of articles in corresponding historical special time can be obtained in special time, and the warehouse-out frequency of the different types of articles in the special time is obtained through evaluation, so that the warehouse-out frequency of the different types of articles in the warehouse in the special time can be obtained.

S120, determining the target type of goods which are taken out of the warehouse and have the frequency exceeding the preset frequency from different types of goods, and indicating the transportation equipment to move the target type of goods which are taken out of the warehouse to a reserved position for caching.

The preset frequency may refer to a threshold value of the preset article delivery frequency. The target type of warehouse-out articles can refer to certain type of high-frequency warehouse-out articles with warehouse-out frequency exceeding preset frequency in different types of articles in the warehouse. The transport may be an AGV or other machine for handling articles. The reserved positions can refer to one or more positions arranged at workstations in a warehouse, the number of the reserved positions can be dynamically adjusted according to the number of the target class of goods to be delivered from the warehouse, and the reserved positions can be generally arranged at positions where workers in the workstations can conveniently pick the goods, such as the most comfortable areas of left and right hands of the workstations. The workstation may be a workstation where a worker is located.

In this embodiment, according to the ex-warehouse frequency of different types of articles, the target type of articles that exceed the preset frequency may be determined, and the transportation device may be instructed to move the target type of articles out-warehouse to the reserved position in advance for caching.

In an optional embodiment, the determining, from the different types of articles, the target type of articles whose ex-warehouse frequency exceeds a preset frequency may include: determining the articles with the ex-warehouse frequency exceeding the preset frequency as candidate high-frequency ex-warehouse articles; and determining the candidate high-frequency warehouse-out articles with the storage container attributes of the candidate high-frequency warehouse-out articles matched with the reserved position attributes as the target class warehouse-out articles.

The candidate high-frequency ex-warehouse articles may refer to articles with ex-warehouse frequencies exceeding a preset frequency, and optionally, the target type ex-warehouse articles may be a subset of the candidate high-frequency ex-warehouse articles. The storage container may refer to a container for loading articles, and the storage container may be a container such as a shelf or a bin. The storage container attribute may refer to a dimensional attribute of the storage container. The reserved location attribute may refer to a size attribute of the reserved location.

Specifically, the warehouse-out frequency of different types of articles and the preset frequency can be respectively determined according to the magnitude relationship, the articles with the warehouse-out frequency exceeding the preset frequency are determined as candidate high-frequency warehouse-out articles, and the storage container attribute and the reserved position attribute of the candidate high-frequency warehouse-out articles are further matched, so that the successfully matched candidate high-frequency warehouse-out articles are determined as target high-frequency warehouse-out articles.

In another optional embodiment, instructing the transportation device to move the target class of outbound articles to a reserved location for caching may include: and instructing the transportation equipment to move the storage container filled with the object class delivery goods to a reserved position of a workstation for caching.

In this embodiment, the transportation device may be instructed to move the storage container of the target class of outbound articles to the reserved location of the workstation for buffering.

Fig. 1b is an exemplary view of an application scenario in which a target class of out-of-warehouse articles is temporarily stored in a reserved location according to an embodiment of the present invention. The transport facility AGV carries the goods shelves (equivalent to the goods storage container) meeting the requirements to the workstation, and the staff moves the high-frequency SKU (equivalent to the object class goods out of the warehouse) to the reserved slot position (namely the reserved position) for temporary storage therein.

And S130, when the to-be-processed task contains the target class ex-warehouse article, indicating to pick the target class ex-warehouse article from the reserved position.

The task to be processed may refer to an order task of the user.

In this embodiment, when the received pending task includes a target class of outbound article, prompt information may be generated to prompt a staff at the workstation to pick the target class of outbound article from a reserved location to process the pending task.

Optionally, when the task to be processed further includes an article other than the target type of article out of the warehouse, the transportation device may be instructed to transport the storage container corresponding to the other article to the workstation, so that the staff of the workstation picks the other article to process the task to be processed.

In an optional embodiment, when the target class of outbound item is included in the pending task, instructing to pick the target class of outbound item from the reserved location may include: when the task to be processed comprises the target class warehouse-out article, determining the demand of the target class warehouse-out article according to the task to be processed; picking the target class of out-of-warehouse items from the reserved positions according to the demand quantity indication.

Specifically, when the task to be processed includes the target class of warehouse-out articles, the demand for the target class of warehouse-out articles in the task to be processed can be determined according to the task to be processed, so that the staff is instructed to pick the target class of warehouse-out articles with the demand from the reserved position of the workstation to process the task to be processed.

According to the technical scheme of the embodiment of the invention, the ex-warehouse frequency of different articles is determined; determining target type articles with the ex-warehouse frequency exceeding the preset frequency from different types of articles, and indicating the transportation equipment to move the target type articles to a reserved position for caching; and when the target class ex-warehouse articles are contained in the task to be processed, indicating the target class ex-warehouse articles to be picked from the reserved positions. According to the invention, the high-frequency ex-warehouse articles are cached in the reserved positions to process the tasks to be processed, so that the problems that transportation equipment is consumed and orders need to be manually combined due to frequent transportation of the high-frequency ex-warehouse articles in the prior art are solved, the transportation times of the transportation equipment are effectively reduced, and the manual operation efficiency is improved.

On the basis of the above technical solution, the item picking processing method may further include: instructing the transport device to move the storage container away from the reserved location when the target class of outbound articles in the storage container at the reserved location are exhausted.

Specifically, when the target type warehouse-out article in the storage container at the reserved position is consumed, the transportation device may be instructed to transport the storage container back to the original storage position of the target type warehouse-out article in the warehouse to release the reserved position, and then the storage container corresponding to the new target type warehouse-out article may be matched at the reserved position for replenishment. Correspondingly, if the target class goods in the goods storage container at the reserved position are not consumed, the goods storage container can continue to serve subsequent tasks to be processed on the same day.

Optionally, if the target class of the articles to be delivered from the storage container at the reserved position is not consumed all the time when the task to be processed on the current day is completely processed, the transportation device may be instructed to move all the storage containers at the reserved position away from the reserved position to release the reserved position.

Example two

Fig. 2 is a flowchart of another item picking processing method according to a second embodiment of the present invention, where on the basis of the foregoing embodiment, when the task to be processed includes the target type outbound item, the present embodiment indicates to add an operation before picking the target type outbound item from the reserved location, and after the task to be processed includes the target type outbound item, the present embodiment indicates to add an operation before picking the target type outbound item from the reserved location. As shown in fig. 2, the method includes:

and S210, determining the ex-warehouse frequency of different types of articles.

S220, determining the target type of goods which are delivered out of the warehouse and have the delivery frequency exceeding the preset frequency from different types of goods, and indicating the transportation equipment to move the target type of goods which are delivered out of the warehouse to a reserved position for caching.

And S230, acquiring the task to be processed, and determining the items to be picked in the task to be processed.

Wherein an item to be picked may refer to an item in a pending task that needs to be picked from a warehouse.

In this embodiment, the task to be processed may be obtained according to the order placed by the user, and the item to be picked may be obtained by analyzing the task to be processed.

S240, judging whether the to-be-picked items contain the target class ex-warehouse items.

And S250, when the to-be-processed task contains the target class ex-warehouse article, distributing the to-be-processed task to a workstation corresponding to the reserved position.

In this embodiment, if the to-be-processed task includes the target type outbound article, the to-be-processed task may be allocated to the workstation corresponding to the reserved position where the target type outbound article is temporarily stored.

The method has the advantages that the task to be processed is distributed to the work stations corresponding to the reserved positions of the target ex-warehouse articles, so that the consumption speed of the target ex-warehouse articles can be increased, and the workload of manually combining the task to be processed can be reduced to improve the manual operation efficiency.

And S260, indicating that the target class of warehouse-out articles are picked from the reserved positions.

According to the technical scheme of the embodiment of the invention, the ex-warehouse frequency of different types of articles is determined; determining target class articles with the ex-warehouse frequency exceeding the preset frequency from different classes of articles, and indicating the transportation equipment to move the target class articles out of the warehouse to a reserved position for caching; acquiring a task to be processed, and determining an article to be picked in the task to be processed; judging whether the goods to be picked contain the target class goods out of the warehouse or not; and when the to-be-processed tasks comprise the target class ex-warehouse articles, allocating the to-be-processed tasks to the workstations corresponding to the reserved positions, and indicating to sort the target class ex-warehouse articles from the reserved positions. According to the invention, the high-frequency ex-warehouse articles are cached in the reserved position, and the tasks to be processed are allocated to the reserved position to process the tasks to be processed, so that the problems that transportation equipment is consumed and orders need to be manually combined due to frequent transportation of the high-frequency ex-warehouse articles in the prior art are solved, the transportation times of the transportation equipment are effectively reduced, and the manual operation efficiency is improved.

Illustratively, an application flow of a processing method for item picking is provided as follows: the goods-to-person system analyzes and screens out a high-frequency SKU according to historical warehouse-out data; reserving a work station slot position which is most suitable for manual picking by the system, and distributing a high-frequency SKU matched with the reserved work station slot position to the reserved work station slot position; the system reversely matches the tasks to be processed to the corresponding workstations according to the distributed high-frequency SKU; the AGV carries the high-frequency SKU and other SKUs in the task to be processed to a workstation for sorting according to a system instruction; the high-frequency SKU is directly taken out of the goods shelf and stored in the reserved work station slot position, so that the subsequent continuous picking is facilitated; when the high-frequency SKU of the reserved work station slot position is selected, replacing a new high-frequency SKU or continuously supplementing the stock of the original high-frequency SKU until the high-frequency SKU is not needed in the current day; and the residual SKUs after being picked on the same day are returned to the goods shelf when coming from the goods shelf, and the spare reserved work station slot position is used for placing a new high-frequency SKU.

EXAMPLE III

Fig. 3 is a schematic structural diagram of an article picking processing apparatus according to a third embodiment of the present invention. As shown in fig. 3, the apparatus includes: an ex warehouse frequency determination module 310, an item caching module 320, and an item picking indication module 330. Wherein:

the ex-warehouse frequency determining module 310 is used for determining the ex-warehouse frequency of different types of articles;

the article caching module 320 is configured to determine, from the different types of articles, a target type of article whose ex-warehouse frequency exceeds a preset frequency, and instruct the transportation device to move the target type of article to a reserved position for caching;

an item picking instruction module 330, configured to instruct, when the target class of outbound items is included in the task to be processed, to pick the target class of outbound items from the reserved location.

According to the technical scheme of the embodiment of the invention, the ex-warehouse frequency of different articles is determined; determining target type articles with the ex-warehouse frequency exceeding the preset frequency from different types of articles, and indicating the transportation equipment to move the target type articles to a reserved position for caching; when the tasks to be processed comprise the target type warehouse-out articles, the target type warehouse-out articles are indicated to be selected from the reserved positions.

Optionally, the ex-warehouse frequency determining module 310 may be specifically configured to:

acquiring historical ex-warehouse data of the different types of articles; the historical ex-warehouse data comprises ex-warehouse time, ex-warehouse times and ex-warehouse quantity;

and determining the ex-warehouse frequency of the different types of articles according to the historical ex-warehouse data.

Optionally, the item caching module 320 may be specifically configured to:

determining the articles with the ex-warehouse frequency exceeding the preset frequency as candidate high-frequency ex-warehouse articles;

and determining the candidate high-frequency warehouse-out articles with the storage container attributes of the candidate high-frequency warehouse-out articles matched with the reserved position attributes as the target class warehouse-out articles.

Optionally, the item caching module 320 may be further configured to:

and instructing the transportation equipment to move the storage container filled with the object class delivery goods to a reserved position of a workstation for caching.

Optionally, the processing apparatus for picking an item further includes an item to be picked determining module, configured to, when the task to be processed includes the target type of ex-warehouse item, instruct the processing apparatus to pick the target type of ex-warehouse item from the reserved location before:

acquiring a task to be processed, and determining an item to be picked in the task to be processed;

judging whether the to-be-picked articles contain the target class ex-warehouse articles or not;

the processing device for picking the items further comprises a to-be-processed task allocation module, configured to, after the to-be-processed task includes the target class of ex-warehouse items, before instructing to pick the target class of ex-warehouse items from the reserved location:

and allocating the tasks to be processed to workstations corresponding to the reserved positions, wherein the workstations are workstations where the workers are located.

Optionally, the item picking indication module 330 may be specifically configured to:

when the task to be processed comprises the target class warehouse-out article, determining the demand of the target class warehouse-out article according to the task to be processed;

and picking the target class of ex-warehouse articles from the reserved positions according to the demand quantity indication.

Optionally, the processing apparatus for picking items further includes a storage container removing module, configured to:

instructing the transport device to move the storage container away from the reserved location when the target class of outbound articles in the storage container at the reserved location are exhausted.

The processing device for picking the articles, provided by the embodiment of the invention, can execute the processing method for picking the articles, provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.

Example four

FIG. 4 shows a schematic block diagram of an electronic device 400 that may be used to implement embodiments of the invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smart phones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.

As shown in fig. 4, the electronic device 400 includes at least one processor 401, and a memory communicatively connected to the at least one processor 401, such as a Read Only Memory (ROM) 402, a Random Access Memory (RAM) 403, and the like, wherein the memory stores computer programs executable by the at least one processor, and the processor 401 may perform various suitable actions and processes according to the computer programs stored in the Read Only Memory (ROM) 402 or the computer programs loaded from a storage unit 408 into the Random Access Memory (RAM) 403. In the RAM 403, various programs and data required for the operation of the electronic device 400 can also be stored. The processor 401, ROM 402 and RAM 403 are connected to each other by a bus 404. An input/output (I/O) interface 405 is also connected to bus 404.

A number of components in the electronic device 400 are connected to the I/O interface 405, including: an input unit 406 such as a keyboard, a mouse, or the like; an output unit 407 such as various types of displays, speakers, and the like; a storage unit 408 such as a magnetic disk, optical disk, or the like; and a communication unit 409 such as a network card, modem, wireless communication transceiver, etc. The communication unit 409 allows the electronic device 400 to exchange information/data with other devices via a computer network such as the internet and/or various telecommunication networks.

Processor 401 may be a variety of general and/or special purpose processing components with processing and computing capabilities. Some examples of processor 401 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, or the like. Processor 401 performs the various methods and processes described above, such as the processing of item picking.

In some embodiments, the method of processing for item picking may be implemented as a computer program tangibly embodied in a computer-readable storage medium, such as storage unit 408. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 400 via the ROM 402 and/or the communication unit 409. When loaded into RAM 403 and executed by processor 401, may perform one or more steps of the above-described method of item picking processing. Alternatively, in other embodiments, processor 401 may be configured to perform the item picking processing method by any other suitable means (e.g., by way of firmware).

Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), system on a chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.

Computer programs for implementing the methods of the present invention can be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be performed. A computer program can execute entirely on a machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.

In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. A computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on 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 compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.

The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.

The computing system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical host and VPS service are overcome.

It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present invention may be executed in parallel, sequentially, or in different orders, and are not limited herein as long as the desired result of the technical solution of the present invention can be achieved.

The above-described embodiments should not be construed as limiting the scope of the invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method of handling item pickups, comprising:

determining the ex-warehouse frequency of different types of articles;

and when the target class warehouse-out article is contained in the task to be processed, indicating to pick the target class warehouse-out article from the reserved position.

2. The method of claim 1, wherein determining the frequency of ex-warehouse of different types of items comprises:

3. The method according to claim 1, wherein determining the target type of the outbound article from the different types of the article, wherein the outbound frequency exceeds a preset frequency, comprises:

4. The method of claim 1, wherein instructing a transportation device to move the target class of outbound items to a reserved location for buffering comprises:

and instructing the transportation equipment to move the storage container filled with the target class of goods to a reserved position of the workstation for caching.

5. The method of claim 1, wherein before picking the target class of outbound item from the reserved location when the target class of outbound item is included in the pending task, further comprising:

acquiring a task to be processed, and determining an article to be picked in the task to be processed;

judging whether the to-be-picked items comprise the target class ex-warehouse items or not;

after the target class ex-warehouse item is included in the task to be processed, before instructing to pick the target class ex-warehouse item from the reserved position, the method further comprises the following steps:

6. The method of claim 1, wherein instructing the target class of outbound item to pick from the reserved location when the target class of outbound item is included in the pending task comprises:

when the task to be processed comprises the target class ex-warehouse goods, determining the demand of the target class ex-warehouse goods according to the task to be processed;

7. The method of claim 4, further comprising:

instructing the transport equipment to move the storage container away from the reserved position when the target class of outbound goods in the storage container at the reserved position is consumed.

8. A handling device for item picking, comprising:

the article caching module is used for determining the target articles which are taken out of the warehouse and have the frequency exceeding the preset frequency from the different articles, and indicating the transportation equipment to move the target articles which are taken out of the warehouse to a reserved position for caching;

and the item picking indication module is used for indicating that the target class of warehouse-out items are picked from the reserved position when the target class of warehouse-out items are included in the task to be processed.

9. An electronic device, characterized in that the electronic device comprises:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,

the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the method of item picking processing of any of claims 1-7.

10. A computer-readable storage medium having stored thereon computer instructions for causing a processor to perform the method of handling for picking items of any of claims 1-7 when executed.