CN110910053A

CN110910053A - Data processing method, device, system and computer readable storage medium

Info

Publication number: CN110910053A
Application number: CN201811078910.6A
Authority: CN
Inventors: 张文静
Original assignee: Beijing Jingdong Century Trading Co Ltd; Beijing Jingdong Shangke Information Technology Co Ltd
Current assignee: Beijing Jingbangda Trade Co Ltd; Beijing Jingdong Zhenshi Information Technology Co Ltd
Priority date: 2018-09-14
Filing date: 2018-09-14
Publication date: 2020-03-24
Anticipated expiration: 2038-09-14
Also published as: CN110910053B

Abstract

The present disclosure provides a data processing method, including: acquiring feature data and an area identifier of an article in a first area, wherein the feature data can reflect specification information of the article, and the area identifier can represent an area to which the article belongs; determining a specific area from a plurality of second areas associated with the first area under the condition that the characteristic data meet a first preset condition; and determining the specific area as a storage area of the item, wherein the area identification of the item is unchanged after the item is stored in the specific area.

Description

Data processing method, device, system and computer readable storage medium

Technical Field

The present disclosure relates to the field of computer technologies, and in particular, to a data processing method, a data processing apparatus, a data processing system, and a computer-readable storage medium.

Background

With the rapid development of electronic technology and logistics industry, more and more articles need to be stored, so how to store a large number of articles becomes a direction of key research, for example, a merchant usually needs to store a large number of articles, but the storage space of a store of the merchant is limited, and it is generally difficult to meet the storage requirement of the articles, so that optimizing the storage manner of the articles, for example, how to increase the storage space to meet the storage requirement of a large number of articles, becomes a problem that needs to be solved urgently at present.

In the process of realizing the concept of the present disclosure, the inventor finds that in the prior art, at least the following problems exist, the existing storage mode is single, the storage space is limited, and the storage requirements of a large number of articles cannot be met.

Disclosure of Invention

In view of the above, the present disclosure provides an optimized data processing method and data processing system.

One aspect of the present disclosure provides a data processing method, including: the method comprises the steps of obtaining feature data and area identification of an article in a first area, wherein the feature data can reflect specification information of the article, the area identification can represent an area to which the article belongs, determining a specific area from a plurality of second areas associated with the first area under the condition that the feature data meet a first preset condition, and determining the specific area as a storage area of the article, wherein the area identification of the article is unchanged after the article is stored in the specific area.

According to an embodiment of the present disclosure, the determining a specific area from a plurality of second areas associated with the first area when the feature data satisfies a first preset condition includes: and under the condition that the characteristic data meet a first preset condition, determining a plurality of second areas associated with the first area, and determining at least one second area from the plurality of second areas as the specific area according to the priorities of the plurality of second areas.

According to an embodiment of the present disclosure, the determining a specific area from a plurality of second areas associated with the first area when the feature data satisfies a first preset condition includes: and determining whether a third area is enough to store the articles or not in the case that the characteristic data meets a first preset condition, wherein the articles stored in the third area belong to the first area, the third area and the second area belong to the same storage space, and in the case that the storage space of the third area is not enough to store the articles, determining a specific area from a plurality of second areas associated with the first area.

According to an embodiment of the present disclosure, the first region includes: a plurality of sub-regions, the method further comprising: determining a specific sub-area of the plurality of sub-areas as a storage area of the item if the characteristic data does not satisfy a first preset condition.

According to an embodiment of the present disclosure, the determining, when the characteristic data does not satisfy the first preset condition, a specific sub-area of the plurality of sub-areas as a storage area of the article includes: determining whether the storage space of a specific sub-area in the plurality of sub-areas is enough for storing the item in the case that the characteristic data does not satisfy a first preset condition, and determining the specific sub-area as the storage area of the item in the case that the specific sub-area is enough for storing the item.

According to an embodiment of the present disclosure, the method further includes: and acquiring attribute information of the article when the characteristic data does not meet a first preset condition, and determining a specific sub-area in the plurality of sub-areas as a storage area of the article when the attribute information of the article meets a second preset condition.

According to an embodiment of the present disclosure, the method further includes: determining a specific article from the plurality of second areas and/or the third areas, wherein the specific article is an article needing to be extracted.

According to an embodiment of the present disclosure, the determining the specific article from the plurality of second areas and/or the third area includes: determining an item quantity for the particular item, wherein the item quantity comprises a first quantity and/or a second quantity, determining an area containing the particular item from the plurality of second areas and/or the third areas, determining a first quantity of the particular item from the second area containing the particular item, and/or determining a second quantity of the particular item from the third area containing the particular item.

According to an embodiment of the present disclosure, the number of the articles further includes: a third quantity, the third quantity being less than the first quantity, the determining a particular item from the plurality of second regions and/or the third region comprising: a first quantity of the particular item is determined from the second area containing the particular item, and a third quantity of the particular item is determined from the first quantity of the particular item.

Another aspect of the present disclosure provides a data processing apparatus including: the device comprises a first obtaining module, a first determining module and a second determining module. The first obtaining module obtains feature data of an article in a first area and an area identifier, wherein the feature data can reflect specification information of the article, the area identifier can represent an area to which the article belongs, the first determining module determines a specific area from a plurality of second areas associated with the first area when the feature data meets a first preset condition, and the second determining module determines the specific area as a storage area of the article, wherein the area identifier of the article is unchanged after the article is stored in the specific area.

According to an embodiment of the present disclosure, the first region includes: a plurality of sub-regions, the apparatus further comprising: and a third determining module, configured to determine a specific sub-area of the plurality of sub-areas as a storage area of the item if the characteristic data does not satisfy a first preset condition.

According to an embodiment of the present disclosure, the apparatus further includes: the device comprises a second acquisition module and a fourth acquisition module. The second obtaining module obtains the attribute information of the article when the characteristic data does not meet a first preset condition, and the fourth determining module determines a specific sub-area of the plurality of sub-areas as a storage area of the article when the attribute information of the article meets a second preset condition.

According to an embodiment of the present disclosure, the apparatus further includes: a fifth determining module, configured to determine a specific item from the plurality of second areas and/or the third areas, where the specific item is an item to be extracted.

Another aspect of the present disclosure provides a computer-readable storage medium storing computer-executable instructions for implementing the method as described above when executed.

Another aspect of the disclosure provides a computer program comprising computer executable instructions for implementing the method as described above when executed.

According to the embodiment of the disclosure, the problems that the storage mode of the articles is single, the storage space is limited and the storage requirements of a large number of articles cannot be met in the prior art can be at least partially solved, and therefore, the technical effect of optimizing the storage mode of the articles, for example, increasing the storage space to meet the storage requirements of the large number of articles, can be achieved.

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 a system architecture of a data processing method and processing system according to an embodiment of the present disclosure;

FIG. 2 schematically illustrates an application scenario of a data processing method and processing system according to an embodiment of the present disclosure;

FIG. 3A schematically illustrates a flow chart of a data processing method according to an embodiment of the present disclosure;

FIG. 3B schematically illustrates a schematic diagram of determining an item storage area according to an embodiment of the present disclosure;

FIG. 4 schematically shows a flow chart of a data processing method according to another embodiment of the present disclosure;

FIG. 5 schematically shows a flow chart of a data processing method according to yet another embodiment of the present disclosure;

6A-6B schematically illustrate a flow diagram of a data processing method according to yet another embodiment of the present disclosure;

FIG. 7 schematically shows a block diagram of a data processing apparatus according to an embodiment of the present disclosure;

FIG. 8 schematically shows a block diagram of a data processing apparatus according to another embodiment of the present disclosure;

FIG. 9 schematically shows a block diagram of a data processing apparatus according to yet another embodiment of the present disclosure;

FIG. 10 schematically shows a block diagram of a data processing apparatus according to yet another embodiment of the present disclosure; and

FIG. 11 schematically shows a block diagram of a computer system suitable for data processing according to 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 the description is illustrative only and is 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 "at least one of A, B and 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.). Where a convention analogous to "A, B or 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 or 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.). It will be further understood by those within the art that virtually any disjunctive word and/or phrase presenting two or more alternative terms, whether in the description, claims, or drawings, should be understood to contemplate the possibilities of including one of the terms, either of the terms, or both terms. For example, the phrase "a or B" should be understood to include the possibility of "a" or "B", or "a and B".

An embodiment of the present disclosure provides a data processing method, including: the method comprises the steps of obtaining feature data and area identification of an article in a first area, wherein the feature data can reflect specification information of the article, the area identification can represent an area to which the article belongs, determining a specific area from a plurality of second areas associated with the first area under the condition that the feature data meet a first preset condition, and determining the specific area as a storage area of the article, wherein the area identification of the article is unchanged after the article is stored in the specific area.

Fig. 1 schematically shows a system architecture of a data processing method and a processing system according to an embodiment of the present disclosure. It should be noted that fig. 1 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. 1, the system architecture 100 according to this embodiment may include

terminal devices

101, 102, 103, a network 104 and a server 105. The network 104 serves as a medium for providing communication links between the

terminal devices

101, 102, 103 and the server 105. Network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.

The user may use the

terminal devices

101, 102, 103 to interact with the server 105 via the network 104 to receive or send messages or the like. The

terminal devices

101, 102, 103 may have installed thereon various communication client applications, such as shopping-like applications, web browser applications, search-like applications, instant messaging tools, mailbox clients, social platform software, etc. (by way of example only).

The

terminal devices

101, 102, 103 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 105 may be a server providing various services, such as a background management server (for example only) providing support for websites browsed by users using the

terminal devices

101, 102, 103. 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 data processing method provided by the embodiment of the present disclosure may be generally executed by the server 105. Accordingly, the data processing apparatus provided by the embodiments of the present disclosure may be generally disposed in the server 105. The data processing method provided by the embodiment of the present disclosure may also be executed by a server or a server cluster different from the server 105 and capable of communicating with the

terminal devices

101, 102, 103 and/or the server 105. Accordingly, the data processing apparatus provided by the embodiment of the present disclosure may also be disposed in a server or a server cluster different from the server 105 and capable of communicating with the

terminal devices

101, 102, 103 and/or the server 105.

For example, the feature data, the area identifier, and the related data of the storage area of the article according to the embodiment of the present disclosure may be stored in the

terminal devices

101, 102, and 103, and the feature data, the area identifier, and the related data of the storage area are sent to the server 105 through the

terminal devices

101, 102, and 103 to be processed (for example, whether the feature data of the article satisfies a first preset condition, and when the first preset condition is satisfied, the storage area of the article is determined based on the related data of the storage area), or the

terminal devices

101, 102, and 103 may directly process the feature data, the area identifier, and the related data of the storage area. In addition, the feature data, the area identifier, and the data related to the storage area may be directly stored in the server 105, and the server 105 may directly process the feature data, the area identifier, and the data related to the storage area.

It should be understood that the number of terminal devices, networks, and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.

Fig. 2 schematically shows an application scenario of the data processing method and the processing system according to an embodiment of the present disclosure. It should be noted that fig. 2 is only an example of a scenario in 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, but 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 application scenario 200 may include, for example, a plurality of

storage areas

211, 212, 213, … …, and a shared area 220.

According to the embodiment of the disclosure, each storage area in the plurality of storage areas is independent from each other, and the article in each storage area has the area identifier of the storage area, and the area identifier is used for marking that the article uniquely belongs to the corresponding storage area. Each storage area may be, for example, a warehouse belonging to a different merchant, or may also be a warehouse belonging to a same merchant and having different storage functions, and each warehouse has its own warehouse number. It is to be appreciated that the multiple storage areas are independent of each other whether they belong to the same merchant or different merchants.

In the disclosed embodiment, the shared area 220 may be used, for example, to store items from different storage areas. That is, a plurality of storage areas can share the storage space of the area 220, for example, the item 211a belonging to the storage area 211 can be stored in the shared area 220, the item 212a belonging to the storage area 212 can be stored in the shared area 220, and the item 213a belonging to the storage area 213 can be stored in the shared area 220.

It is understood that the shared area 220 is only used as a shared storage area of the plurality of storage areas, and after an article in the plurality of storage areas is stored in the shared area 220, the area identifier of the article is not changed, that is, the area identifier of the article is also the area identifier of the corresponding area in the original plurality of storage areas.

The shared area of the embodiment of the disclosure can be used for storing articles in a plurality of mutually independent storage areas, and the area identifiers of the articles stored in the shared area are unchanged, so that the storage mode of the articles is optimized through the sharing mode, and the warehouse pressure of merchants is relieved.

Fig. 3A schematically shows a flow chart of a data processing method according to an embodiment of the present disclosure.

As shown in fig. 3A, the method includes operations S310 to S330.

In operation S310, feature data of the article in the first region and a region identifier are obtained, where the feature data can reflect specification information of the article, and the region identifier can represent a region to which the article belongs.

According to an embodiment of the present disclosure, the first area may be, for example, a storage space for storing items, and may be, for example, a warehouse for storing goods by a merchant. The characteristic data of the article may be, for example, size data, weight data, category data, and the like of the article, wherein the size data may be, for example, volume data of the article, wherein the characteristic data may reflect specification information of the article, that is, may reflect a specification of the article, such as size, weight, category, and the like.

In the embodiment of the present disclosure, the area identifier of the item may be used to characterize an area to which the item belongs, for example, the first area has the area identifier of the area, and when the first area is a warehouse, the area identifier may be a corresponding warehouse number, for example. The item belonging to the first zone has a zone identification of the first zone.

In operation S320, in the case where the feature data satisfies a first preset condition, a specific area is determined from a plurality of second areas associated with the first area.

In embodiments of the present disclosure, the second zone may be, for example, a zone for sharing, the second zone being capable of being used to store items from different first zones, the second zone associated with a first zone representing a shared zone that is capable of being used to store items of the first zone, wherein the second zone associated with each first zone may include a plurality of zones.

According to the embodiment of the present disclosure, the characteristic data meeting the first preset condition may be, for example, that the size of the article exceeds a certain size preset value, or that the weight of the article exceeds a certain weight value, or that the article is an article belonging to a certain category.

In the embodiment of the present disclosure, for example, the first area and the plurality of second areas may be configured in association by map configuration, and for example, an area flag may be configured for the first area. The correlation between the first area and the plurality of second areas can be obtained by map configuration.

According to the embodiment of the present disclosure, for example, the specific area may be determined according to a storage area comparison rule, wherein the storage area comparison rule may include, for example, that the specific area of the first area is a different second area when the characteristic data of the article of the first area satisfies different conditions, and the specific area of the article may be specifically determined based on the characteristic data of the article based on the storage area comparison.

For example, a specific area is determined from a plurality of second areas associated with the first area, and the specific area is, for example, a default one of the plurality of second areas, wherein the specific area may be one of the plurality of second areas that is geographically closer to the first area.

In operation S330, a specific area is determined as a storage area of the item, wherein the area identification of the item is not changed after the item is stored in the specific area.

According to embodiments of the present disclosure, after a particular zone is determined, items may be stored to the particular zone via the flow console. The specific area is used as a shared area, and the area identifier of the article stored in the specific area is not changed, that is, the area identifier of the article is also the area identifier of the first area.

According to the embodiment of the disclosure, the specific area of the article is determined based on whether the characteristic data of the article meets the first preset condition, when the specific area is used as a shared area to store the article, the area identifier of the article is unchanged, the article storage mode is optimized through the shared mode, and the warehouse pressure of a merchant is relieved.

Fig. 3B schematically illustrates a schematic diagram of determining an item storage area according to an embodiment of the present disclosure.

As shown in fig. 3B, for example, the first region includes a plurality of first regions, for example, a first region 311, a first region 312, and a first region 313, and the plurality of second regions includes a second region 321, a second region 322, and a second region 323. Wherein, the second area associated with the first area may be, for example: the second area associated with the first area 311 includes, for example, a second area 321, a second area 322, and a second area 323, the second area associated with the first area 312 includes, for example, the second area 321, the second area 322, and the second area 323, and the second area associated with the first area 313 includes, for example, the second area 321, the second area 322, and the second area 323.

Wherein the items of each first area may be stored in the second area associated with the first area, for example, the items of the first area 311 may be stored in the associated second area 321, second area 322, second area 323 (as shown in fig. 3B), and similarly, the items of the first area 312, first area 313 may also be stored in a plurality of second areas associated therewith. In other words, the second areas are shared areas, each of which can be used, for example, to store items from a plurality of first areas, for example, the second area 321 can store items from the first area 311, the first area 312, and the first area 313, and similarly, the

second areas

322 and 323 can also be used to store items from a plurality of first areas.

According to the embodiment of the present disclosure, in a case where the feature data satisfies a first preset condition, determining a specific area from a plurality of second areas associated with the first area includes: and under the condition that the characteristic data meet a first preset condition, determining a plurality of second areas associated with the first area, and determining at least one second area from the plurality of second areas as a specific area according to the priorities of the plurality of second areas.

For example, of the second section 321, the second section 322, and the second section 323 associated with the first section 311, the second section 321, the second section 322, and the second section 323 may be prioritized in order, that is, the second section 321 with the highest priority may be set as the specific section, and when the feature data of the item in the first section 311 satisfies the first preset condition, the item may be stored in the second section 321. The priorities of the plurality of second regions may be determined according to the distances from the second region 321, the second region 322, and the second region 323 to the first region 311, and the regions with higher priorities may be determined according to the distances from the second region to the first region 323.

Similarly, for example, the second area 322 of the plurality of second areas is set as the specific area of the first area 312, and the second area 323 is set as the specific area of the first area 313 according to the priority.

According to the embodiment of the present disclosure, in a case where the feature data satisfies a first preset condition, determining a specific area from a plurality of second areas associated with the first area includes: and determining whether a third area is enough to store the articles or not under the condition that the characteristic data meets a first preset condition, wherein the articles stored in the third area belong to the first area, the third area and the second area belong to the same storage space, and under the condition that the storage space of the third area is not enough to store the articles, determining a specific area from a plurality of second areas associated with the first area.

In the embodiment of the present disclosure, the third area may be, for example, a non-shared storage area, and the third area may belong to the same storage space as the corresponding second area, for example, are adjacent to each other in geographic location, and the like. The third zone is a non-shared storage zone that can be used to store items of the corresponding first zone, rather than storing items of multiple first zones.

For example, the third area may serve as a zero pick stock for storing items that can be sold directly for shipment.

As shown in fig. 3B, the plurality of third areas include, for example, a third area 331, a third area 332, and a third area 333, where the third area 331 corresponds to the first area 311 and is used for storing the items in the first area 311 whose characteristic data satisfies the first preset condition, and similarly, the third area 332 corresponds to the first area 312, and the third area 333 corresponds to the first area 313.

According to the embodiment of the present disclosure, when the feature data of the item in the first area 311 satisfies the first preset condition, for example, when the item is a large-sized item, it is determined whether the storage space of the third area 331 corresponding to the first area 311 is sufficient for storing the item, and when the storage space of the third area 331 is insufficient for storing the item, a specific area for storing the item is further specified from among the second area 321, the second area 322, and the second area 323 associated with the first area 311.

In the embodiment of the present disclosure, the second area and the third area may be, for example, a vertical warehouse, and the vertical warehouse serves as an intelligent storage structure, and after a specific storage location of an article in the vertical warehouse is calculated by a computer, the article may be automatically stored in the corresponding vertical warehouse storage location by a stacker, so that manual operation is not required, labor cost is reduced, a storage space is increased, and storage efficiency of the article is improved.

Fig. 4 schematically shows a flow chart of a data processing method according to another embodiment of the present disclosure.

As shown in fig. 4, the method includes operations S310 to S330 and operation S410. Operations S310 to S330 are the same as or similar to the operations described above with reference to fig. 3A, and are not described again here.

According to an embodiment of the present disclosure, the first region includes: a plurality of sub-regions.

According to an embodiment of the present disclosure, the first area may be, for example, an area that is first reached when the items are put in storage, and the first area includes, for example, a plurality of sub-areas including, for example, a person-to-person area, an attic partition area, an attic tray, a beam shelf, and the like. Wherein the first area may also include a zero pick inventory.

In operation S410, in case the characteristic data does not satisfy the first preset condition, a specific sub-area of the plurality of sub-areas is determined as a storage area of the article.

According to the embodiment of the present disclosure, for example, in a case where the feature data of the article does not satisfy the first preset condition, for example, the article is a small-sized article, at this time, the article may be stored in the first area, for example, the article may be stored in a specific sub-area of the plurality of sub-areas.

According to the embodiment of the present disclosure, in a case where the feature data does not satisfy the first preset condition, determining a specific sub-area of the plurality of sub-areas as a storage area of the article includes: and determining whether the storage space of a specific sub-area in the plurality of sub-areas is enough for storing the items or not in the case that the characteristic data does not meet the first preset condition, and determining the specific sub-area as the storage area of the items in the case that the specific sub-area is enough for storing the items.

According to the embodiment of the disclosure, in the case that the characteristic data of the article does not satisfy the first preset condition, it is determined whether a specific sub-area in the plurality of sub-areas is sufficient for storing the article, and in the sufficient case, the specific sub-area is taken as a storage area of the article, and the specific sub-area can be set as a person-to-person area, an attic partition area, an attic tray, a beam shelf and the like according to different situations, that is, the specific sub-area can be specifically set according to actual requirements.

Fig. 5 schematically shows a flow chart of a data processing method according to yet another embodiment of the present disclosure.

As shown in fig. 5, the method includes operations S310 to S330 and operations S510 to S520. Operations S310 to S330 are the same as or similar to the operations described above with reference to fig. 3A, and are not described again here.

In operation S510, in the case where the feature data does not satisfy the first preset condition, attribute information of the article is acquired.

According to the embodiment of the present disclosure, the attribute information of the article may be, for example, shelf life information of the article, and when the size of the article is small, the attribute information of the article may be acquired.

In operation S520, in case that the attribute information of the article satisfies a second preset condition, a specific sub-area of the plurality of sub-areas is determined as a storage area of the article.

According to the embodiment of the disclosure, the attribute information of the article may be that the shelf life of the article is short, for example, the shelf life of the article is earlier than that of the article stored in the zero-picking place library in the third area and the first area, at this time, the article may be controlled to flow to the manual area, and recommended to the attic tray sub-area in the first area according to the storage area comparison rule, at this time, the attic tray sub-area is used as the specific sub-area in the case that the shelf life of the small-volume article is short.

According to the embodiment of the disclosure, for example, when the attribute information of the article does not satisfy the second preset condition, for example, the shelf life of the article is later than that of the article stored in the third area and the zero-order position in the first area, at this time, other sub-areas may be used as the specific sub-areas of the article.

For example, when the shelf life of the articles to be stored is later than that of the articles in the zero-picking-position inventory in the third area and the first area, whether the number of the articles to be stored is larger than that of the articles in the zero-picking-position inventory and the articles already put on shelves and the articles ready to put on shelves is judged, if the number of the articles to be stored is larger than that of the articles in the zero-picking-position inventory, the articles to be stored are controlled to flow to a manual area in the first area, if the number of the articles to be stored is smaller than that of the articles in the zero-picking inventory, the articles to be stored are controlled to flow to the manual zero-picking, the articles to be stored are recommended to an attic tray sub-area in the first area according to a storage area comparison rule, and if the storage area comparison rule does not.

According to the embodiment of the disclosure, the acceptance container for warehousing and storing the articles can be a tray, and each container is only used for placing a single article.

Fig. 6A-6B schematically illustrate a flow diagram of a data processing method according to yet another embodiment of the present disclosure.

As shown in fig. 6A, the method includes operations S310 to S330 and operation S610. Operations S310 to S330 are the same as or similar to the operations described above with reference to fig. 3A, and are not described again here.

In operation S610, a specific item is determined from a plurality of second areas and/or third areas, wherein the specific item is an item to be extracted.

According to the embodiment of the disclosure, the second area and the third area are used as the stock-standing areas for storing the articles, and when the articles need to be taken out of the stock, the articles needing to be taken out in the second area and the third area can be positioned as specific articles.

According to an embodiment of the present disclosure, determining a specific item from a plurality of second regions and/or third regions includes: determining an item quantity for the particular item, wherein the item quantity comprises a first quantity and/or a second quantity, determining an area containing the particular item from the plurality of second areas and/or third areas, determining a first quantity of the particular item from the second area containing the particular item, and/or determining a second quantity of the particular item from the third area containing the particular item.

For example, an item quantity for a particular item is determined, where the first quantity is, for example, a full torr quantity and the second quantity is, for example, a mantissa quantity. For example, the storage unit of the articles stored in the second area is 100 (total items), when the number of the specific articles is 220, the first number is 200, for example, when only 15 specific articles are stored in the third area, the second number is 15, at this time, the number of the specific articles extracted from the second area is 200 (total items), and the number of the specific articles extracted from the third area is 15 (fraction items).

According to an embodiment of the present disclosure, the quantity of items further comprises: a third quantity, the third quantity being less than the first quantity, identifying a particular item from the plurality of second regions and/or third regions, comprising: a first quantity of the particular item is determined from the second area containing the particular item, and a third quantity of the particular item is determined from the first quantity of the particular item.

In the disclosed embodiment, the third number is, for example, the number of specific items that need to be separated and extracted from the items stored in the second area, and the third number is smaller than the first number. For example, after 200 pieces of specific articles are extracted from the second area, 15 pieces of specific articles are extracted from the third area, at this time, the specific article does not exist in the third area, and 5 pieces of specific articles need to be extracted again from the second area, at this time, after the first quantity of 100 pieces of specific articles stored in the second area are extracted, the 100 pieces of specific articles are separated, 5 pieces of specific articles are extracted, and the remaining 95 pieces of specific articles are stored again in the second area.

As shown in fig. 6B, fig. B illustrates a flow chart for determining an item to be extracted. The determination process includes operations S601 to S616, for example.

In operation S601, start.

In operation S602, an ex-warehouse request including an item quantity of an item to be extracted is received. For example, the number of items received is 220, indicating the items that need to be picked up from the vertical (e.g., items that need to be picked up from the second zone or the third zone).

In operation S603, ex-warehouse positioning scheduling is performed. For example, 200 items may be determined for the entire torr from the second zone and 20 items may be determined for the mantissa from the third zone.

In operation S604, it is determined whether the quantity of items outside the vertical storage is sufficient. For example, from the third zone, it is determined whether the number of articles is sufficient for 20.

In operation S605, all external locations of the stereoscopic warehouse are successfully located. For example, 20 articles to be extracted in the third zone.

In operation S606, the positioning is successful.

In operation S607, the out-of-custody location fails or the entire location fails. For example, if there are not 20 articles to be extracted in the third zone, for example only 15 articles, then 5 articles fail to be positioned.

In operation S608, the control unit forcibly discharges the vertical warehouse. For example, the second area is controlled to force out 5 items.

In operation S609, it is determined whether the forced shipment is successful. For example, whether the second area can still deliver 5 successful items. If the result is successful, S606 is executed, and if the result is failed, S610 is executed.

In operation S610, an inventory discrepancy is prompted. For example, the second zone may not have enough 5 articles.

In operation S611, a task delivery is determined. Such as issuing shipping instructions.

In operation S612, the stand is notified for shipment. For example, the second area and the third area are notified of shipment.

In operation S613, the shipment quantity is recorded. For example, record the second area shipment 200 pieces and the third area shipment 15 pieces.

In operation S614, the forced shipment is recorded. For example, the second area is recorded to force the shipment of 5 items.

In operation S615, the stock quantity is deducted, for example, after 5 items are forcibly discharged from the 100 full-torr quantity in the second area, the quantity of the 5 items is deducted, and the remaining 95 items are recorded.

In operation S616, a pick complete final report is returned.

According to the embodiment of the disclosure, the automatic scheduling of the quantity of the articles to be stored or the articles to be extracted can be realized according to the requirement, and the efficiency of scheduling production is improved. For example, the production is performed according to the priority order of the regions, and the priority order of the regions is, for example, sequentially: a garage standing area, a person-to-person area, a loft bulkhead area, loft trays, beam racks, and the like. The automatic scheduling process calculates a scheduling threshold value for each area according to the demand of the commodity, and determines which area the demand is scheduled and produced from.

Fig. 7 schematically shows a block diagram of a data processing apparatus according to an embodiment of the present disclosure.

As shown in fig. 7, the data processing apparatus 700 includes a first obtaining module 710, a first determining module 720, and a second determining module 730.

The first obtaining module 710 may obtain feature data of an article in a first region, where the feature data may reflect specification information of the article, and a region identifier, where the region identifier may represent a region to which the article belongs. According to the embodiment of the present disclosure, the first obtaining module 710 may, for example, perform the operation S310 described above with reference to fig. 3A, which is not described herein again.

The first determining module 720 may determine the specific area from a plurality of second areas associated with the first area in case the feature data satisfies a first preset condition.

According to an embodiment of the present disclosure, the first determining module 720 may perform, for example, operation S320 described above with reference to fig. 3A, which is not described herein again.

The second determination module 730 may determine a specific area as a storage area of the item, wherein the area identifier of the item is not changed after the item is stored in the specific area. According to an embodiment of the present disclosure, the second determining module 730 may perform, for example, the operation S330 described above with reference to fig. 3A, which is not described herein again.

Fig. 8 schematically shows a block diagram of a data processing device according to another embodiment of the present disclosure.

As shown in fig. 8, the data processing apparatus 800 includes a first obtaining module 710, a first determining module 720, a second determining module 730, and a third determining module 810. The first obtaining module 710, the first determining module 720 and the second determining module 730 are the same as or similar to the modules described above with reference to fig. 7, and are not repeated herein.

The third determination module 810 determines a specific sub-area of the plurality of sub-areas as a storage area of the article in a case where the characteristic data does not satisfy the first preset condition.

According to an embodiment of the present disclosure, the third determining module 810 may perform, for example, operation S410 described above with reference to fig. 4, which is not described herein again.

Fig. 9 schematically shows a block diagram of a data processing device according to yet another embodiment of the present disclosure.

As shown in fig. 9, the data processing apparatus 900 includes a first obtaining module 710, a first determining module 720, a second determining module 730, a second obtaining module 910, and a fourth determining module 920. The first obtaining module 710, the first determining module 720 and the second determining module 730 are the same as or similar to the modules described above with reference to fig. 7, and are not repeated herein.

The second obtaining module 910 may obtain attribute information of the article if the characteristic data does not satisfy the first preset condition. According to the embodiment of the present disclosure, the second obtaining module 910 may perform, for example, the operation S510 described above with reference to fig. 5, which is not described herein again.

The fourth determining module 920 may determine a specific sub-area of the plurality of sub-areas as a storage area of the article, in case that the attribute information of the article satisfies a second preset condition. According to the embodiment of the present disclosure, the fourth determining module 920 may perform, for example, operation S520 described above with reference to fig. 5, which is not described herein again.

Fig. 10 schematically shows a block diagram of a data processing apparatus according to yet another embodiment of the present disclosure.

As shown in fig. 10, the data processing apparatus 1000 includes a first obtaining module 710, a first determining module 720, a second determining module 730, and a fifth determining module 1010. The first obtaining module 710, the first determining module 720 and the second determining module 730 are the same as or similar to the modules described above with reference to fig. 7, and are not repeated herein.

The fifth determining module 1010 may determine a specific item from a plurality of second regions and/or third regions, wherein the specific item is an item that needs to be extracted.

According to an embodiment of the present disclosure, the fifth determining module 1010 may perform, for example, the operation S610 described above with reference to fig. 6A, which is not described herein again.

Any number of modules, sub-modules, units, sub-units, or at least part of the functionality of any number thereof according to embodiments of the present disclosure may be implemented in one module. Any one or more of the modules, sub-modules, units, and sub-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, sub-modules, units, sub-units according to embodiments of the present disclosure 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 any other reasonable manner of hardware or firmware by integrating or packaging a circuit, or in any one of or a suitable combination of software, hardware, and firmware implementations. Alternatively, one or more of the modules, sub-modules, units, sub-units according to embodiments of the disclosure may be at least partially implemented as a computer program module, which when executed may perform the corresponding functions.

For example, any plurality of the first obtaining module 710, the first determining module 720, the second determining module 730, the third determining module 810, the second obtaining module 910, the fourth determining module 920 and the fifth determining module 1010 may be combined and implemented in one module, or any one of the modules may be split into a plurality of modules. Alternatively, at least part of the functionality of one or more of these modules may be combined with at least part of the functionality of the other modules and implemented in one module. According to an embodiment of the present disclosure, at least one of the first obtaining module 710, the first determining module 720, the second determining module 730, the third determining module 810, the second obtaining module 910, the fourth determining module 920, and the fifth determining module 1010 may be at least partially implemented 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 manner of integrating or packaging a circuit, such as hardware or firmware, or implemented by any one of three implementations of software, hardware, and firmware, or by a suitable combination of any of them. Alternatively, at least one of the first obtaining module 710, the first determining module 720, the second determining module 730, the third determining module 810, the second obtaining module 910, the fourth determining module 920 and the fifth determining module 1010 may be at least partially implemented as a computer program module, which when executed, may perform a corresponding function.

FIG. 11 schematically shows a block diagram of a computer system suitable for data processing according to an embodiment of the present disclosure. The computer system illustrated in FIG. 11 is only one example and should not impose any limitations on the scope of use or functionality of embodiments of the disclosure.

As shown in fig. 11, a computer system 1100 according to an embodiment of the present disclosure includes a processor 1101, which can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)1102 or a program loaded from a storage section 1108 into a Random Access Memory (RAM) 1103. The processor 1101 may comprise, 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 1101 may also include on-board memory for caching purposes. The processor 1101 may comprise a single processing unit or a plurality of processing units for performing the different actions of the method flows according to the embodiments of the present disclosure.

In the RAM 1103, various programs and data necessary for the operation of the system 1100 are stored. The processor 1101, the ROM1102, and the RAM 1103 are connected to each other by a bus 1104. The processor 1101 performs various operations of the method flow according to the embodiments of the present disclosure by executing programs in the ROM1102 and/or the RAM 1103. It is noted that the programs may also be stored in one or more memories other than the ROM1102 and RAM 1103. The processor 1101 may also perform various operations of the method flows according to the embodiments of the present disclosure by executing programs stored in the one or more memories.

System 1100 may also include an input/output (I/O) interface 1105, which input/output (I/O) interface 1105 is also connected to bus 1104, according to an embodiment of the present disclosure. The system 1100 may also include one or more of the following components connected to the I/O interface 1105: an input portion 1106 including a keyboard, mouse, and the like; an output portion 1107 including a signal output unit such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and a speaker; a storage section 1108 including a hard disk and the like; and a communication section 1109 including a network interface card such as a LAN card, a modem, or the like. The communication section 1109 performs communication processing via a network such as the internet. A driver 1110 is also connected to the I/O interface 1105 as necessary. A removable medium 1111 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 1110 as necessary, so that a computer program read out therefrom is mounted into the storage section 1108 as necessary.

According to embodiments of the present disclosure, method flows according to embodiments of the present disclosure may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable storage medium, the computer program containing program code for performing the method illustrated by the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication portion 1109 and/or installed from the removable medium 1111. The computer program, when executed by the processor 1101, performs the above-described functions defined in the system of the embodiment of the present disclosure. The systems, devices, apparatuses, modules, units, etc. described above 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 embodiments of the present disclosure, the computer-readable storage medium may be a computer-non-volatile computer-readable storage medium, which may include, for example and without limitation: 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 ROM1102 and/or the RAM 1103 and/or one or more memories other than the ROM1102 and the RAM 1103 described above.

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 which 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 data processing, comprising:

acquiring feature data and an area identifier of an article in a first area, wherein the feature data can reflect specification information of the article, and the area identifier can represent an area to which the article belongs;

determining a specific area from a plurality of second areas associated with the first area under the condition that the characteristic data meet a first preset condition;

and determining the specific area as a storage area of the item, wherein the area identification of the item is unchanged after the item is stored in the specific area.

2. The method according to claim 1, wherein the determining a specific area from a plurality of second areas associated with the first area in the case that the feature data satisfies a first preset condition comprises:

determining a plurality of second areas associated with the first area if the feature data meets a first preset condition;

and determining at least one second area from the plurality of second areas as the specific area according to the priorities of the plurality of second areas.

3. The method according to claim 1, wherein the determining a specific area from a plurality of second areas associated with the first area in the case that the feature data satisfies a first preset condition comprises:

determining whether a third area is enough to store the articles or not under the condition that the characteristic data meets a first preset condition, wherein the articles stored in the third area belong to the first area, and the third area and the second area belong to the same storage space;

in the event that the storage space of the third area is insufficient to store the item, a particular area is determined from a plurality of second areas associated with the first area.

4. The method of claim 1, wherein:

the first region includes: a plurality of sub-regions;

the method further comprises the following steps: determining a specific sub-area of the plurality of sub-areas as a storage area of the item if the characteristic data does not satisfy a first preset condition.

5. The method of claim 4, wherein the determining a particular sub-region of the plurality of sub-regions as a storage region for the item in the event that the characteristic data does not satisfy a first preset condition comprises:

determining whether a storage space of a specific sub-area of the plurality of sub-areas is sufficient to store the item, in case the characteristic data does not satisfy a first preset condition;

in the event that the particular sub-region is sufficient to store the item, determining the particular sub-region as a storage region for the item.

6. The method of claim 4, further comprising:

acquiring attribute information of the article under the condition that the characteristic data does not meet a first preset condition;

determining a specific sub-area of the plurality of sub-areas as a storage area of the article when the attribute information of the article satisfies a second preset condition.

7. The method of claim 3, further comprising:

determining a specific article from the plurality of second areas and/or the third areas, wherein the specific article is an article needing to be extracted.

8. The method of claim 7, wherein said determining a particular item from among said plurality of second regions and/or said third region comprises:

determining an item quantity for the particular item, wherein the item quantity comprises a first quantity and/or a second quantity;

said determining an area containing said particular item from said plurality of second areas and/or said third areas;

determining a first quantity of the particular item from the second zone containing the particular item, and/or determining a second quantity of the particular item from a third zone containing the particular item.

9. The method of claim 8, wherein:

the quantity of items further includes: a third number, the third number being less than the first number;

the determining a specific item from the plurality of second regions and/or the third region comprises:

determining a first quantity of the particular item from the second area containing the particular item;

a third quantity of the particular item is determined from the first quantity of the particular item.

10. A data processing apparatus comprising:

the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module acquires feature data and an area identifier of an article in a first area, the feature data can reflect specification information of the article, and the area identifier can represent an area to which the article belongs;

a first determination module, configured to determine a specific area from a plurality of second areas associated with the first area if the feature data satisfies a first preset condition;

and the second determination module is used for determining the specific area as a storage area of the article, wherein the area identification of the article is unchanged after the article is stored in the specific area.

11. The apparatus according to claim 10, wherein the determining a specific area from a plurality of second areas associated with the first area in the case where the feature data satisfies a first preset condition includes:

12. The apparatus according to claim 10, wherein the determining a specific area from a plurality of second areas associated with the first area in the case where the feature data satisfies a first preset condition includes:

13. The apparatus of claim 10, wherein:

the first region includes: a plurality of sub-regions;

the device further comprises: and a third determining module, configured to determine a specific sub-area of the plurality of sub-areas as a storage area of the item if the characteristic data does not satisfy a first preset condition.

14. The apparatus of claim 13, wherein the determining a particular sub-region of the plurality of sub-regions as a storage region for the item if the characteristic data does not satisfy a first preset condition comprises:

15. The apparatus of claim 13, further comprising:

the second acquisition module is used for acquiring the attribute information of the article under the condition that the characteristic data does not meet a first preset condition;

and the fourth determining module is used for determining a specific sub-area in the plurality of sub-areas as the storage area of the article under the condition that the attribute information of the article meets a second preset condition.

16. The apparatus of claim 12, further comprising:

a fifth determining module, configured to determine a specific item from the plurality of second areas and/or the third areas, where the specific item is an item to be extracted.

17. The apparatus of claim 16, wherein the determining a particular item from the plurality of second regions and/or the third region comprises:

18. The apparatus of claim 17, wherein:

19. A data processing system comprising:

one or more processors;

a storage device 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 perform the method of any of claims 1-9.

20. A computer readable storage medium having stored thereon executable instructions which, when executed by a processor, cause the processor to perform the method of any one of claims 1 to 9.