CN107103445B

CN107103445B - Information processing method and device

Info

Publication number: CN107103445B
Application number: CN201710350936.0A
Authority: CN
Inventors: 芦杰; 肖鹏宇
Original assignee: Beijing Jingdong Qianshi Technology Co Ltd
Current assignee: Beijing Jingdong Qianshi Technology Co Ltd
Priority date: 2017-05-17
Filing date: 2017-05-17
Publication date: 2021-07-06
Anticipated expiration: 2037-05-17
Also published as: CN107103445A

Abstract

The application discloses an information processing method and device. One embodiment of the method comprises: receiving an information processing request; determining whether the information processing request includes the following: the method comprises the steps of (1) setting up a workstation identifier, an item category set and an item quantity corresponding to each item category in the item category set; in response to determining that the information processing request includes the content, when the racking station indicated by the racking station identification currently has an empty rack cache and currently has an empty unmanned carrier, a target rack type corresponding to each item category in the set of item categories is determined in a preset rack type set, a target rack corresponding to the item category is determined in a storage area in a managed warehouse, a recommended racking amount of the item category on the target rack is determined, and racking recommendation information is generated. The embodiment realizes rich and targeted information generation.

Description

Information processing method and device

Technical Field

The present application relates to the field of computer technologies, and in particular, to the field of internet technologies, and in particular, to an information processing method and apparatus.

Background

An Automated Guided Vehicle (AGV) is a transport Vehicle equipped with an electromagnetic or optical automatic guide device, which can travel along a predetermined guide path and has safety protection and various transfer functions.

Currently, a warehouse (e.g., a small warehouse, etc.) using an automated guided vehicle may transport shelves in a storage area to various work benches, such as a racking bench, etc., where racking personnel may be equipped. When the shelving workbench is used for shelving the articles, the shelving personnel usually determine the shelves, goods grids and the like for placing the articles to be shelved at their own discretion. Therefore, how to generate shelving recommendation information for the shelving objects is a problem worthy of research.

Disclosure of Invention

It is an object of the present application to provide an improved information processing method and apparatus to solve the technical problems mentioned in the background section above.

In a first aspect, an embodiment of the present application provides an information processing method, where the method includes: receiving an information processing request; determining whether the information processing request includes the following: the method comprises the steps of (1) setting up a work station identifier, an item type set and an item quantity corresponding to each item type in the item type set; in response to determining that the information processing request includes the content, when an empty shelf cache currently exists at a racking station indicated by the racking station identifier and an empty unmanned carrying vehicle currently exists, determining a target cargo type corresponding to each item type in a preset cargo type set based on the quantity of items corresponding to each item type in the item type set; determining a target shelf corresponding to the item category in a storage area in a managed warehouse based on the item category set and a target shelf type corresponding to each item category in the item category set, and determining a recommended shelving amount of the items of the item category on the corresponding target shelf based on a standard storage amount of a shelf of the target shelf type corresponding to the item category; and generating shelving recommendation information, wherein the shelving recommendation information comprises a corresponding relation among the item type in the item type set, a target shelf corresponding to the item type, a target shelf type and a recommended shelving amount.

In some embodiments, the above method further comprises: and outputting the racking recommendation information, and sending a first conveying instruction to the currently idle unmanned conveying vehicle so that the unmanned conveying vehicle receiving the first conveying instruction conveys the target rack to the empty rack cache position of the racking workstation.

In some embodiments, the determining, in the preset shelf type set, a target shelf type corresponding to each item category based on the quantity of the items corresponding to the item category in the item category set includes: for each item category in the item category set, selecting a goods lattice type from a preset goods lattice type set to generate a candidate goods lattice type set based on the average delivery amount of the items of the item category in a first preset time period; determining the minimum storage number of copies corresponding to the article type based on the current storage number of copies of the articles of the article type in the warehouse; and determining a target goods lattice type corresponding to the goods category in the candidate goods lattice type set based on the minimum storage number of the copies and the quantity of the goods corresponding to the goods category.

In some embodiments, the selecting the shelf type from the preset shelf type set to generate the candidate shelf type set based on the average delivery amount of the items in the item category in the first predetermined time period includes: and for each goods lattice type in the preset goods lattice type set, if the standard storage quantity of the goods lattice corresponding to the goods lattice type is not less than the product of the average delivery quantity and a preset value, classifying the goods lattice type into a candidate goods lattice type set corresponding to the article type.

In some embodiments, the determining, in the set of candidate grid types, a target grid type corresponding to the item type based on the minimum number of stored copies and the number of items corresponding to the item type includes: according to the order from large to small of the standard storage capacity of the goods grids of each goods grid type in the candidate goods grid type set, taking the first goods grid type in the candidate goods grid type set meeting the following conditions as a target goods grid type corresponding to the goods type: the ratio of the number of articles corresponding to the article category to the standard storage amount of the compartment corresponding to the compartment type is not less than the minimum number of stored copies corresponding to the article category.

In some embodiments, the determining, in the set of candidate grid types, a target grid type corresponding to the item type based on the minimum number of stored copies and the number of items corresponding to the item type includes: and if the goods lattice type meeting the condition does not exist in the candidate goods lattice type set, taking the goods lattice type with the minimum standard storage quantity of the corresponding goods lattice in the candidate goods lattice type set as the target goods lattice type corresponding to the goods category.

In some embodiments, each of the above-mentioned bins is provided with a bin tag; and

the determining, in a storage area in a managed warehouse, a target shelf corresponding to the item type based on the item type set and a target shelf type corresponding to each item type in the item type set, and determining a recommended shelving amount of the item type on the corresponding target shelf based on a standard storage amount of a shelf of the target shelf type corresponding to the item type, includes: for each item category in the item category set, determining item tags corresponding to the item category to generate an item tag set based on a probability that items of the item category are hit by an order within a second predetermined time period, wherein one item tag corresponds to at least one item category; for each item label in the item label set, forming a first item category set by the item category corresponding to the item label in the item category set, and executing the following processing steps at least once until each first item category in the first item category set meets a first preset condition: selecting one first item type from various first item types which do not meet the first preset condition but meet the second preset condition in the first item type set at present as a first item type to be matched; determining whether a first target shelf exists in a target storage area, in each of the storage areas, where the set storage area tag matches the item tag, where the first target shelf is a shelf including a target compartment, and the target compartment is a compartment in which an item of the first item category to be matched has been placed and a current storage amount is lower than a threshold; if the first target shelf exists, taking the difference value between the standard storage capacity and the current storage capacity of the target shelf as the recommended shelving amount of the first object shelf for the articles of the first to-be-matched article type; taking a first item type which currently meets a third preset condition in the first item types as a second item type to be matched, and if the first target shelf currently comprises an empty goods lattice of a target goods lattice type corresponding to the second item type to be matched, taking the standard storage capacity of the empty goods lattice as the recommended shelving capacity of the items of the second item type to be matched on the first target shelf; if the first target shelf currently has an empty goods lattice, selecting a first goods category which is the same as the goods lattice type of the empty goods lattice, does not meet the first preset condition, the second preset condition and the third preset condition and corresponds to a target goods lattice type from the first goods category set as a third goods category to be matched, and taking the standard storage amount of the empty goods lattice as the recommended shelving amount of the goods of the third goods category to be matched on the first target shelf.

In some embodiments, the processing step comprises: if the first target shelf does not exist in the target storage area, determining a second target shelf which currently meets a fourth preset condition in the target storage area; taking the standard storage capacity of the empty goods grid of which the current goods grid type is the target goods grid type corresponding to the first item type to be matched, which is currently included by the second target shelf, as the recommended shelving capacity of the items of the first item type to be matched on the second target shelf; taking the standard storage capacity of the empty goods grid of which the current goods grid type is the target goods grid type corresponding to the second to-be-matched item type and which is currently included by the second target shelf as the recommended shelving capacity of the second target shelf for the items of the second to-be-matched item type; and regarding a first item type which does not satisfy the first preset condition, the second preset condition and the third preset condition currently in the first item type set, taking the standard storage amount of an empty goods shelf of which the goods shelf type currently included in the second target shelf is the target goods shelf type corresponding to the first item type as the recommended shelving amount of the items of the first item type on the second target shelf.

In some embodiments, the processing step comprises: if there is no first item type satisfying the second preset condition in the first item type set or the included first item types satisfying the second preset condition all satisfy the first preset condition, a third target shelf currently satisfying a fourth preset condition is determined in the target storage area for the first item type not satisfying the first preset condition and the second preset condition in the first item type set, and the standard storage amount of an empty shelf whose shelf type included in the third target shelf is the target shelf type corresponding to the first item type is used as the recommended shelving amount of the first item type on the third target shelf.

In some embodiments, the processing step comprises: if the first target shelf and the second target shelf are not present in the target storage area, a target shelf corresponding to each first item type in the first item type set is identified in a storage area other than the target storage area in each of the storage areas, and a recommended shelving amount of the item of the first item type on the target shelf is identified.

In some embodiments, the above method further comprises: in response to determining that the information processing request does not include the content, further determining whether the information processing request includes a shelf identification; if the information processing request includes the shelf identifier, when there is an empty unmanned carrier at present, determining a first item tag set, a second item category set and the number of items corresponding to each item tag in the first item tag set stored on the shelf to be returned, wherein the first item tag set is a set of item tags of items currently stored on the shelf to be returned, each item tag in the first item tag set is provided with a weight value, and the second item category set is a set of item categories of items currently stored on the shelf to be returned; determining a storage area for placing the shelf to be returned in each storage area based on the weight value of each item label in the first item label set and the determined number of the items; determining a target storage position for placing the shelf to be returned in each empty storage position in the determined storage area based on the second item category set; and sending a second conveying instruction to the currently idle unmanned conveying vehicle so that the unmanned conveying vehicle receiving the second conveying instruction conveys the shelf to be returned to the warehouse to the corresponding target storage position.

In some embodiments, each of the storage areas corresponds to a preset value range; and the determining, in each of the bins, a bin for placing the shelf to be returned based on the weight value of each item label in the first set of item labels and the determined number of pieces, includes: determining the product of the weight value of each item label in the first item label set and the number of the items corresponding to the item label, and adding and summing the determined products to obtain a first value; adding and summing the determined number of pieces to obtain a second value; and taking the ratio of the first value to the second value as a comparison value, and determining the storage area, which is included in the comparison value and corresponds to the preset value range, in each storage area as the storage area for placing the shelf to be returned.

In some embodiments, the determining, based on the second item category set, a target bin for placing the backorder shelf in each empty bin of the determined bin includes: and determining the target reserve bit in each empty reserve bit by using an objective function.

In a second aspect, the present application provides an information processing apparatus comprising: a receiving unit configured to receive an information processing request; a determination unit configured to determine whether the information processing request includes: the method comprises the steps of (1) setting up a work station identifier, an item type set and an item quantity corresponding to each item type in the item type set; a processing unit configured to, in response to determining that the information processing request includes the content, determine, based on the number of items corresponding to each item type in the set of item types, a target item type corresponding to the item type in a preset item type set when an empty rack cache location currently exists at a rack station indicated by the rack station identifier and an empty unmanned carrier vehicle currently exists; determining a target shelf corresponding to the item category in a storage area in a managed warehouse based on the item category set and a target shelf type corresponding to each item category in the item category set, and determining a recommended shelving amount of the items of the item category on the corresponding target shelf based on a standard storage amount of a shelf of the target shelf type corresponding to the item category; and generating shelving recommendation information, wherein the shelving recommendation information comprises a corresponding relation among the item type in the item type set, a target shelf corresponding to the item type, a target shelf type and a recommended shelving amount.

In some embodiments, the above apparatus further comprises: and an output unit configured to output the racking recommendation information and transmit a first transport instruction to the currently empty automated guided vehicle so that the automated guided vehicle receiving the first transport instruction transports the target rack to the empty rack cache space of the racking station.

In some embodiments, the processing unit is further configured to: for each item category in the item category set, selecting a goods lattice type from a preset goods lattice type set to generate a candidate goods lattice type set based on the average delivery amount of the items of the item category in a first preset time period; determining the minimum storage number of copies corresponding to the article type based on the current storage number of copies of the articles of the article type in the warehouse; and determining a target goods lattice type corresponding to the goods category in the candidate goods lattice type set based on the minimum storage number of the copies and the quantity of the goods corresponding to the goods category.

In some embodiments, the processing unit is further configured to: and for each goods lattice type in the preset goods lattice type set, if the standard storage quantity of the goods lattice corresponding to the goods lattice type is not less than the product of the average delivery quantity and a preset value, classifying the goods lattice type into a candidate goods lattice type set corresponding to the article type.

In some embodiments, the processing unit is further configured to: according to the order from large to small of the standard storage capacity of the goods grids of each goods grid type in the candidate goods grid type set, taking the first goods grid type in the candidate goods grid type set meeting the following conditions as a target goods grid type corresponding to the goods type: the ratio of the number of articles corresponding to the article category to the standard storage amount of the compartment corresponding to the compartment type is not less than the minimum number of stored copies corresponding to the article category.

In some embodiments, the processing unit is further configured to: and if the goods lattice type meeting the condition does not exist in the candidate goods lattice type set, taking the goods lattice type with the minimum standard storage quantity of the corresponding goods lattice in the candidate goods lattice type set as the target goods lattice type corresponding to the goods category.

In some embodiments, each of the above-mentioned bins is provided with a bin tag; and the processing unit is further configured to: for each item category in the item category set, determining item tags corresponding to the item category to generate an item tag set based on a probability that items of the item category are hit by an order within a second predetermined time period, wherein one item tag corresponds to at least one item category; for each item label in the item label set, forming a first item category set by the item category corresponding to the item label in the item category set, and executing the following processing steps at least once until each first item category in the first item category set meets a first preset condition: selecting one first item type from various first item types which do not meet the first preset condition but meet the second preset condition in the first item type set at present as a first item type to be matched; determining whether a first target shelf exists in a target storage area, in each of the storage areas, where the set storage area tag matches the item tag, where the first target shelf is a shelf including a target compartment, and the target compartment is a compartment in which an item of the first item category to be matched has been placed and a current storage amount is lower than a threshold; if the first target shelf exists, taking the difference value between the standard storage capacity and the current storage capacity of the target shelf as the recommended shelving amount of the first object shelf for the articles of the first to-be-matched article type; taking a first item type which currently meets a third preset condition in the first item types as a second item type to be matched, and if the first target shelf currently comprises an empty goods lattice of a target goods lattice type corresponding to the second item type to be matched, taking the standard storage capacity of the empty goods lattice as the recommended shelving capacity of the items of the second item type to be matched on the first target shelf; if the first target shelf currently has an empty goods lattice, selecting a first goods category which is the same as the goods lattice type of the empty goods lattice, does not meet the first preset condition, the second preset condition and the third preset condition and corresponds to a target goods lattice type from the first goods category set as a third goods category to be matched, and taking the standard storage amount of the empty goods lattice as the recommended shelving amount of the goods of the third goods category to be matched on the first target shelf.

In some embodiments, the above apparatus further comprises: a first processing unit configured to further determine whether the information processing request includes a shelf identifier in response to determining that the information processing request does not include the content; if the information processing request includes the shelf identifier, when there is an empty unmanned carrier at present, determining a first item tag set, a second item category set and the number of items corresponding to each item tag in the first item tag set stored on the shelf to be returned, wherein the first item tag set is a set of item tags of items currently stored on the shelf to be returned, each item tag in the first item tag set is provided with a weight value, and the second item category set is a set of item categories of items currently stored on the shelf to be returned; determining a storage area for placing the shelf to be returned in each storage area based on the weight value of each item label in the first item label set and the determined number of the items; determining a target storage position for placing the shelf to be returned in each empty storage position in the determined storage area based on the second item category set; and sending a second conveying instruction to the currently idle unmanned conveying vehicle so that the unmanned conveying vehicle receiving the second conveying instruction conveys the shelf to be returned to the warehouse to the corresponding target storage position.

In some embodiments, each of the storage areas corresponds to a preset value range; and the first processing unit is further configured to: determining the product of the weight value of each item label in the first item label set and the number of the items corresponding to the item label, and adding and summing the determined products to obtain a first value; adding and summing the determined number of pieces to obtain a second value; and taking the ratio of the first value to the second value as a comparison value, and determining the storage area, which is included in the comparison value and corresponds to the preset value range, in each storage area as the storage area for placing the shelf to be returned.

In some embodiments, the first processing unit is further configured to: and determining the target reserve bit in each empty reserve bit by using an objective function.

In a third aspect, an embodiment of the present application provides an electronic device, including: one or more processors; storage means for storing one or more programs; when the one or more programs are executed by the one or more processors, the one or more processors are caused to implement the method as described in any implementation manner of the first aspect.

In a fourth aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the method as described in any implementation manner of the first aspect.

The information processing method and the information processing device provided by the embodiment of the application determine whether the information processing request comprises the following contents when the information processing request is received: an elevated station identifier, a set of item categories, and a quantity of items corresponding to each item category in the set of item categories, such that when it is determined that the information processing request includes the content, when an elevated station indicated by the elevated station identifier currently has an empty shelf cache and currently has an empty unmanned carrier, a target shelf type corresponding to the item category is determined in a preset shelf type set based on the quantity of items corresponding to each item category in the set of item categories, a target shelf corresponding to the item category is determined in a storage area in the managed warehouse based on the set of item categories and a target shelf type corresponding to each item category in the set of item categories, and a recommended quantity of items of the item category on the corresponding target shelf is determined based on a standard storage quantity of the shelf of the target shelf type corresponding to the item category, and finally, generating the shelving recommendation information. Therefore, the determination of the target goods lattice type, the target goods shelf and the recommended shelf loading amount corresponding to each item category in the item category set is effectively utilized, and the generation of rich and targeted information is realized.

Drawings

Other features, objects and advantages of the present application will become more apparent upon reading of the following detailed description of non-limiting embodiments thereof, made with reference to the accompanying drawings in which:

FIG. 1 is an exemplary system architecture diagram in which the present application may be applied;

FIG. 2 is a flow diagram of one embodiment of an information processing method according to the present application;

FIG. 3 is a schematic diagram of an application scenario of an information processing method according to the present application;

FIG. 4 is a flow diagram of yet another embodiment of an information processing method according to the present application;

FIG. 5 is a schematic block diagram of one embodiment of an information processing apparatus according to the present application;

FIG. 6 is a schematic block diagram of a computer system suitable for use in implementing an electronic device according to embodiments of the present application.

Detailed Description

The present application will be described in further detail with reference to the following drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the relevant invention and not restrictive of the invention. It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings.

It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.

Fig. 1 shows an exemplary system architecture 100 to which embodiments of the information processing method or information processing apparatus of the present application may be applied.

As shown in fig. 1, system architecture 100 may include

terminal devices

101, 102, 103, 105 and network 104. Network 104 is the medium used to provide communication links between

terminal devices

101, 102, 103 and terminal device 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 terminal device 105 via the network 104 to receive or transmit information or the like. The

terminal devices

101, 102, 103 may have installed thereon various communication client applications, such as a web browser application, an application supporting warehouse management, and the like. The

terminal apparatuses

101, 102, 103 can receive an information processing request transmitted from the terminal apparatus 105, and process the information processing request, and the like.

The

terminal devices

101, 102, 103 may be various electronic devices having a display screen, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like.

The terminal device 105 may be various electronic devices that support sending information processing requests, such as a converter (e.g., a bar code scanner, etc.) that supports converting bar codes into numbers, and the like, and the converter may be used, for example, to scan bar codes on containers (e.g., trays, etc.) on which items to be shelved are placed, to send information processing requests including information of the items to be shelved (e.g., a set of item categories consisting of the item categories of the items to be shelved, the number of items per category of the items to be shelved, and the like) to the connected

terminal devices

101, 102, 103.

It should be noted that the information processing method provided in the embodiment of the present application is generally executed by the

terminal devices

101, 102, and 103, and accordingly, the information processing apparatus is generally disposed in the

terminal devices

101, 102, and 103.

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

It should be noted that if the information processing request received by the

terminal devices

101, 102, and 103 is not issued by the terminal device 105, the system architecture 100 may not include the terminal device 105.

With continued reference to FIG. 2, a flow 200 of one embodiment of an information processing method according to the present application is shown. The information processing method comprises the following steps:

step 201, receiving an information processing request.

In the present embodiment, the electronic device (for example,

terminal devices

101, 102, 103 shown in fig. 1) on which the information processing method operates may receive the information processing request from the local, and may also receive the information processing request from a connected terminal device (for example, terminal device 105 shown in fig. 1). The information processing request may be a request for processing information on articles to be placed on the shelf, or may be a request for processing information on goods to be returned to the storage shelf. If the information processing request is a request for processing information of an item to be shelved, the information processing request may include, for example, a shelving station identifier, a set of item categories consisting of item categories of the item to be shelved, a quantity of items corresponding to each item category in the set of item categories (i.e., a quantity of items to be shelved for the item category), and the like. If the information processing request is a request for processing information of the backtracking shelf, the information processing request may include, for example, a shelf identification of the backtracking shelf, or the like. For a certain article to be shelved, the article type of the article to be shelved may be, for example, the model number or the article number of the article to be shelved.

Step 202, determining whether the information processing request includes the following: an identification of the elevated workstation, a set of item categories, and a quantity of items corresponding to each item category in the set of item categories.

In this embodiment, the electronic device may determine whether the information processing request includes the following content by analyzing the information processing request: an identification of the elevated workstation, a set of item categories, and a quantity of items corresponding to each item category in the set of item categories.

Step 203, in response to determining that the information processing request includes the above contents, when the shelving workstation indicated by the shelving workstation identifier currently has an empty shelf cache space and currently has an empty unmanned carrying vehicle, determining a target cargo space type corresponding to each item type in the preset cargo space type set based on the quantity of the items corresponding to each item type in the item type set.

In this embodiment, if it is determined in step 202 that the information processing request includes the content, the electronic device may determine, based on the number of items corresponding to each item type in the set of item types, a target item type corresponding to the item type in the set of preset item types when the shelving station currently has an empty shelf buffer space and currently has an empty unmanned carrier vehicle. For example, if the quantity of the items corresponding to the item type is smaller than the minimum standard storage quantity in the standard storage quantities of the grids of each grid type in the preset grid type set, the electronic device may use the grid type of the grid corresponding to the minimum standard storage quantity as the target grid type corresponding to the item type. The electronic device may locally store shelf buffer location information of the shelving station and status information (for example, during operation, in an idle state, etc.) of each automated guided vehicle disposed in the managed warehouse. The electronic device may determine whether the racking station currently has an empty rack cache location and whether the empty automated guided vehicle currently exists by reading the rack cache location information and the status information. Here, the empty shelf cache slots may be used to place shelves.

In some optional implementations of the embodiment, the electronic device may determine, in the preset stock lattice type set, a target stock lattice type corresponding to each item category in the item category set by performing the following steps: selecting a cargo type from a preset cargo type set to generate a candidate cargo type set based on the average delivery amount of the items of the item category in a first preset time period (such as one day); determining the minimum storage number of copies corresponding to the article type based on the current storage number of copies of the articles of the article type in the warehouse; and determining a target goods grid type corresponding to the item type in the candidate goods grid type set based on the minimum storage number of copies and the quantity of the items corresponding to the item type. The average delivery amount of the items of the item category in the first predetermined time period may be a ratio of the total delivery amount of the items of the item category in the first predetermined time period to the delivery times. If the articles of the article type are present in the warehouse, the average delivery amount may refer to an average delivery amount of the articles of the article type in the warehouse within the first predetermined time period. If the warehouse has not already stored the item of the item category, the average delivery amount may refer to an average delivery amount of the item category in other warehouses within the first predetermined time period. The electronic device may obtain the warehouse-out information of the item category in other warehouses from the connected server, so as to determine the average warehouse-out amount of the item category in the first predetermined time period. If the warehouse managed by the electronic device and the other warehouses do not already store the item of the item category, the electronic device may estimate an average delivery amount of the item category in the first predetermined time period based on delivery information of items similar to (e.g., similar in function to) the item of the item category in the first predetermined time period.

In some optional implementations of this embodiment, for each of the preset set of lattice types, if the standard storage amount of the lattice corresponding to the lattice type is not less than the product of the average ex-warehouse amount corresponding to the item category and a preset value (e.g., 4), the electronic device may classify the lattice type into the set of candidate lattice types corresponding to the item category.

In some optional implementations of this embodiment, the warehouse managed by the electronic device may be provided with a picking workstation, and for each item category in the item category set, the minimum number of deposited copies corresponding to the item category may satisfy the following condition: m ≧ α xP-D, where M represents the minimum number of stored copies corresponding to the item category, α represents the probability that an item of the item category will be hit by the order within a second predetermined time period (e.g., one day), P represents the number of picking stations, and D represents the number of stored copies corresponding to the item category. The probability may be a ratio of the number of orders of the items of the item category in the warehouse managed by the electronic device in the second predetermined time period to the total number of orders of the items in the warehouse in the second predetermined time period. Here, the probability that the item of the item category is hit by the order within the second predetermined time period may be referred to as a click rate of the item category.

In some optional implementation manners of this embodiment, for each item category in the item category set, the electronic device may take, as a target item category corresponding to the item category, a first item type in the candidate item type set that satisfies the following condition in an order from a large standard storage amount to a small standard storage amount of an item corresponding to each item type in the candidate item type set: the ratio of the number of articles corresponding to the article category to the standard storage amount of the compartment corresponding to the compartment type is not less than the minimum number of stored copies corresponding to the article category. If there is no lattice type satisfying the condition in the candidate lattice type set, the electronic device may use a lattice type in the candidate lattice type set, in which a standard storage amount of a corresponding lattice is the minimum, as the target lattice type corresponding to the item type.

And step 204, determining a target shelf corresponding to the item type in the storage area in the managed warehouse based on the item type set and the target grid type corresponding to each item type in the item type set, and determining the recommended shelving amount of the items of the item type on the corresponding target shelf based on the standard storage amount of the grids of the target grid type corresponding to the item type.

In this embodiment, after determining the target shelf type corresponding to each item category in the item category set in step 203, the electronic device may determine a target shelf corresponding to the item category in the storage area in the managed warehouse based on the item category set and the target shelf type corresponding to each item category in the item category set, and determine the recommended shelving amount of the item category on the corresponding target shelf based on the standard storage amount of the shelf of the target shelf type corresponding to the item category. It should be noted that a shelf may include multiple shelf types, with items of the same item type typically stored in the same shelf. When the number of the articles of a certain article type stored in a certain compartment of a shelf is the standard storage amount of the compartment, the shelf can be said to store one article of the article type.

As an example, if the warehouse managed by the electronic device includes a storage area, the electronic device may combine target lattice types corresponding to the respective item types in the item type set into a target lattice type group, the electronic device may search for a lattice type group including a shelf of each target lattice type in the target lattice type group, where the lattice type group includes the lattice types of the empty lattices included in the storage area, and if the shelf is found, the electronic device may use the shelf as a target shelf corresponding to each item type in the item type set, and the recommended shelving amount of the item type on the target shelf may be a standard storage amount of a lattice of which the lattice type is the target lattice type corresponding to the item type. If the ratio of the total recommended shelving amount corresponding to the item type currently to the standard storage amount of the corresponding target shelf type is smaller than the minimum storage number corresponding to the item type, and the total recommended shelving amount is smaller than the number of items corresponding to the item type, the electronic device may continue to search for a target shelf for placing the items of the item type in the storage area.

In some optional implementation manners of this embodiment, each storage area in the warehouse managed by the electronic device may be provided with a storage area tag, and each storage area tag may be provided with a priority. For each item category in the item category set, the electronic device may determine, based on a click rate of an item of the item category (i.e., a probability that the item of the item category is hit by the order within the second predetermined time period), an item tag corresponding to the item category to generate an item tag set. Wherein, one item label can correspond to at least one item category, and the item label can be set with priority. As an example, the electronic device may locally store an item tag sequence, and the electronic device may divide the item category set into an item category group sequence including a preset number of item category groups in an order from a high click rate to a low click rate of items of each item category in the item category set, and for each item category group in the item category group sequence, the electronic device may set an item tag in the item tag set, which has a priority same as that of the item category group, as an item tag corresponding to each item category in the item category group. Here, each item tag in the set of item tags described above may include a number, letter, or combination thereof, e.g., the item tag may be, for example, "bandA", "A-1", or the like. The bin tag may include numbers, letters, or combinations thereof, for example, the bin tag may be, for example, "bandB," "B-1," or the like. The preset number may be equal to the number of the respective reservoirs. The sequence of article tags may include the preset number of article tags. Alternatively, the same priority of bin tags and item tags may be the same.

For each item tag in the item tag set, the electronic device may combine the item categories corresponding to the item tag in the item category set into a first item category set, and perform the following processing steps at least once until each first item category in the first item category set satisfies a first preset condition: selecting (e.g., randomly selecting) a first item category as a first item category to be matched from the first item categories which do not satisfy the first preset condition but satisfy the second preset condition in the first item category set; determining whether a first target shelf exists in a target storage area of the storage areas, wherein the set storage area label matches (for example, has the same priority as) the item label, wherein the first target shelf may be a shelf including a target shelf, and the target shelf may be a shelf in which the current storage amount is lower than a threshold value and the item of the first item category to be matched has already been placed; if the first target shelf exists, taking the difference value between the standard storage capacity and the current storage capacity of the target shelf as the recommended shelving loading capacity of the first item to be matched in the category of the first item on the first target shelf; taking the first item type which currently meets a third preset condition in the first item types as a second item type to be matched, and if the first target shelf currently comprises an empty shelf (namely, a shelf which does not store items and does not match the recommended shelving amount) of a target shelf type corresponding to the second item type to be matched, taking the standard storage amount of the empty shelf as the recommended shelving amount of the items of the second item type to be matched on the first target shelf; if the first target shelf currently has an empty goods lattice, selecting (for example, randomly selecting) a first goods category which is the same as the goods lattice type of the empty goods lattice, does not meet the first preset condition, the second preset condition and the third preset condition, and which corresponds to a target goods lattice type from the first goods category set as a third goods category to be matched, and taking the standard storage amount of the empty goods lattice as the recommended shelving amount of the goods of the third goods category to be matched on the first target shelf. Here, the first preset condition may be, for example, that a ratio of the total recommended shelving amount corresponding to the first article type to the standard storage amount of the corresponding target grid type is not less than the minimum number of stored copies corresponding to the first article type, or that the total recommended shelving amount corresponding to the first article type is not less than the number of articles corresponding to the first article type. The second preset condition may be, for example, that an item having a similarity greater than or equal to a first similarity threshold (e.g., 70%) with an item of the first item category exists in a warehouse managed by the electronic device. The third preset condition may be, for example, that the corresponding article and the article in the first category of articles to be matched have a similarity greater than or equal to a second similarity threshold (e.g., 70%). It should be noted that, the electronic device may locally store an item similarity information list, and each piece of similarity information in the item similarity information list may include similarities of items of different first item categories. The electronic device may determine, by reading the similarity information list, first item categories satisfying the second preset condition from among the first item category sets, and determine, from among the first item categories, first item categories satisfying the third preset condition. Through the processing steps, the objects to be placed on the shelves of different article types can be recommended to be placed on a plurality of shelves, and meanwhile, the requirement that the associated objects to be placed on the shelves recommend to be placed on one shelf as much as possible is met, so that the purpose of few shelves is achieved, and the goods delivery efficiency can be improved.

In some optional implementations of this embodiment, the processing step may include: if the first target shelf does not exist in the target storage area, determining a second target shelf which currently meets a fourth preset condition in the target storage area; taking the standard storage capacity of the empty goods grid of which the current goods grid type is the target goods grid type corresponding to the first item type to be matched, which is currently included by the second target shelf, as the recommended shelving capacity of the items of the first item type to be matched on the second target shelf; taking the standard storage capacity of the empty goods grid of which the current goods grid type is the target goods grid type corresponding to the second to-be-matched item type and which is currently included by the second target shelf as the recommended shelving capacity of the second target shelf for the items of the second to-be-matched item type; and regarding a first item type which does not satisfy the first preset condition, the second preset condition and the third preset condition currently in the first item type set, taking the standard storage amount of an empty goods shelf of which the goods shelf type currently included in the second target shelf is the target goods shelf type corresponding to the first item type as the recommended shelving amount of the items of the first item type on the second target shelf. Here, the fourth preset condition may be that the number of corresponding items N is the maximum, and for a certain shelf, the electronic device may determine the number of corresponding items N of the shelf by the following formula:

wherein k is a natural number, n represents the number of mutually different target shelf types corresponding to a first item type that does not satisfy the first preset condition in the first item type set, q represents the number of the first item type, and q represents the number of the first item type_kIndicating the number of first item types of which the corresponding target cargo space types are kth target cargo space types in each first item type which does not meet the first preset condition in the first item type set, p indicating the number of empty cargo spaces, p_kIndicating the number of empty grids with the grid type of the kth target grid type included in the shelf.

In some optional implementations of this embodiment, the processing step may include: if there is no first item type satisfying the second preset condition in the first item type set or the first item types included in the first item type set satisfying the second preset condition all satisfy the first preset condition, a third target shelf currently satisfying the fourth preset condition is determined in the target storage area for the first item type not satisfying the first preset condition and the second preset condition in the first item type set, and the standard storage amount of an empty shelf having a shelf type included in the third target shelf as a target shelf type corresponding to the first item type is used as the recommended shelving amount of the first item type on the third target shelf.

In some optional implementations of this embodiment, the processing step may include: if the first target shelf and the second target shelf are not present in the target storage area, the electronic device may identify a target shelf corresponding to each first item category in the first item category set among storage areas other than the target storage area (for example, a storage area in which a priority of a set storage area tag is lower than a priority of a storage area tag of the target storage area, or a storage area in which a priority of a set storage area tag is higher than a priority of a storage area tag of the target storage area), and identify a recommended shelving amount of the item of the first item category on the target shelf.

And step 205, generating shelving recommendation information.

In this embodiment, after determining the target shelf, the target lattice type and the recommended shelving amount of the item type on the target shelf corresponding to each item type in the item type set in step 204, the electronic device may generate shelving recommendation information. The shelving recommendation information may include, but is not limited to, a correspondence between each item category in the item category set, a target shelf corresponding to the item category, a target shelf type, and a recommended shelving amount. As an example, assume that the above-described set of item categories includes item categories a1, a2, A3, and the target shelf types corresponding to item categories a1, a2, A3 are Q1, Q2, Q3, respectively. The standard storage capacity of the grid corresponding to the target grid type Q1 is P1, the standard storage capacity of the grid corresponding to the target grid type Q2 is P2, and the standard storage capacity of the grid corresponding to the target grid type Q3 is P3. The target shelves corresponding to item class a1 are G1, G2, the target shelves corresponding to item class a2 are G1, G2, and the target shelves corresponding to item class A3 are G1. The generated listing recommendation information may include "[ item category: a1, target shelf: g1, G2, target shelf type: q1, recommended shelve size: g1- > P1, G2- > P1 ]; [ article type: a2, target shelf: g1, G2, target shelf type: q2, recommended shelve size: g1- > P2, G2- > P2 ]; [ article type: a3, target shelf: g1, target shelf type: q3, recommended shelve size: g1- > P3] ".

In some optional implementations of this embodiment, after the electronic device executes step 205, the electronic device may output the generated racking recommendation information, and may send a first transportation instruction to the currently idle automated guided vehicle, so that the automated guided vehicle receiving the first transportation instruction transports the determined target rack to the empty rack cache of the racking station.

With continued reference to fig. 3, fig. 3 is a schematic diagram of an application scenario of the information processing method according to the present embodiment. In the application scenario of fig. 3, the article to be shelved may be placed in a tray, which may have a barcode thereon, and the sheller may first scan the barcode with the barcode scanner to send an information processing request to the terminal device. Then, as indicated by reference numeral 301, the terminal device described above can receive the information processing request. Thereafter, as indicated by reference numeral 302, the terminal device may determine that the information processing request includes the following content by parsing the information processing request: the shelving station identifier "03", the item category set a, and the number of items R1, R2, R3, and R4 respectively corresponding to the item categories a1, a2, A3, and a4 included in the item category set a. Next, as shown by reference numeral 303, when there is currently an empty shelf buffer space at the racking station indicated by the racking station identifier "03" and there is currently an empty unmanned carrier, the terminal device may determine, based on the number of items R1, R2, R3, R4, a target shelf type Q1 corresponding to the item categories a1, a2, a target shelf type Q2 corresponding to the item category A3, and a target shelf type Q3 corresponding to the item category a4, from a preset shelf type set including the shelf types Q1, Q2, Q3 (the standard storage amounts of the shelves corresponding to the shelf types Q1, Q2, Q3 are P1, P2, P3, respectively). Then, as shown by reference numeral 304, the terminal device may determine, in the storage area in the managed warehouse, target shelves G1 and G2 corresponding to the item categories a1, a2 and A3 and target shelf G1 corresponding to the item category a4 based on the item category set a and the target shelf types Q1, Q1, Q2 and Q3 corresponding to the item categories a1, a2, A3 and a4, respectively, may determine that the recommended shelving amounts of the items of the item categories a1 and a2 on the target shelves G1 and G2 are both P1, may determine that the recommended shelving amounts of the items of the item category A3 on the target shelves G1 and G2 are both P2, and may determine that the recommended shelving amount of the items of the item category a4 on the target shelf G1 is P3. Finally, as indicated by reference numeral 305, the terminal device may generate shelving recommendation information, which may include, for example, "[ item category: a1, target shelf: g1, G2, target shelf type: q1, recommended shelve size: g1- > P1, G2- > P1 ]; [ article type: a2, target shelf: g1, G2, target shelf type: q1, recommended shelve size: g1- > P1, G2- > P1 ]; [ article type: a3, target shelf: g1, G2, target shelf type: q2, recommended shelve size: g1- > P2, G2- > P2 ]; [ article type: a4, target shelf: g1, target shelf type: q3, recommended shelve size: g1- > P3] ".

The method provided by the embodiment of the application effectively utilizes the determination of the target goods lattice type, the target goods shelf and the recommended shelving amount corresponding to each item category in the item category set, and achieves rich and targeted information generation.

With further reference to FIG. 4, a flow 400 of yet another embodiment of an information processing method is shown. The flow 400 of the information processing method includes the following steps:

step 401, an information processing request is received.

In the present embodiment, the electronic device (for example,

terminal devices

101, 102, 103 shown in fig. 1) on which the information processing method operates may receive the information processing request from the local, and may also receive the information processing request from a connected terminal device (for example, terminal device 105 shown in fig. 1).

Step 402, determining whether the information processing request includes the following: an identification of the elevated workstation, a set of item categories, and a quantity of items corresponding to each item category in the set of item categories.

In this embodiment, after receiving the information processing request, the electronic device may determine whether the information processing request includes the following content by analyzing the information processing request: an identification of the elevated workstation, a set of item categories, and a quantity of items corresponding to each item category in the set of item categories.

In response to determining that the information processing request does not include the above, it is further determined whether the information processing request includes a shelf identifier, step 403.

In this embodiment, in response to determining that the information processing request does not include the content in step 402, the electronic device may further determine whether the content included in the information processing request includes a shelf identifier. If it is determined that the shelf identifier is included, the electronic device may perform step 404.

Step 404, when there is an idle unmanned transportation vehicle currently, determining a first item label set and a second item category set corresponding to the shelf to be returned indicated by the shelf identifier currently, and the number of items corresponding to each item label in the first item label set stored in the shelf to be returned.

In this embodiment, in response to determining that the information processing request includes the shelf identifier in step 403, when there is an empty unmanned transportation vehicle, the electronic device may determine a first item tag set and a second item category set currently corresponding to the shelf to be returned indicated by the shelf identifier, and the number of items corresponding to each item tag in the first item tag set stored in the shelf to be returned. The first item label set may be a set of item labels of items currently stored on the shelf to be returned, and each item label in the first item label set may be provided with a weight value. The second item category set may be a set of item categories of items currently stored on the backorder shelf. Here, the number of items corresponding to each item tag in the first item tag set, the second item category set, and the first item tag set stored on the backyard shelf may be stored locally in the electronic device in association with the shelf identifier, and the electronic device may read the first item tag set, the second item category set, and the number of items from locally.

In step 405, a bin for placing a shelf to be returned to the warehouse is determined in each bin based on the weight value of each item label in the first set of item labels and the determined number of pieces.

In this embodiment, the electronic device may determine, in the respective storage areas, a storage area for placing the shelf to be returned based on a weight value of each item tag in the first item tag set and the determined number of pieces. Here, the above-mentioned storage regions may correspond to preset value ranges, respectively. The electronic device may first determine a product of a weight value of each item tag in the first item tag set and the number of pieces corresponding to the item tag, and add and sum the determined products to obtain a first value; then, the electronic device may sum the determined number of pieces to obtain a second value; finally, the electronic device may use a ratio of the first value to the second value as a comparison value, and determine, as the storage area for placing the shelf to be returned, the storage area in each storage area whose corresponding preset value range includes the comparison value.

In some optional implementations of this embodiment, the above-mentioned storage areas may be respectively provided with priorities. If the corresponding preset value range in the storage areas includes the comparison value, the electronic device may select, as the storage area for placing the shelf to be returned, the storage area with the largest empty storage position from the storage areas with the priority only lower than that of the storage area and the storage areas with the priority only higher than that of the storage area. It should be noted that the storage positions are used for placing shelves, and usually one storage position is used for placing one shelf.

In step 406, a target storage position for placing a shelf to be returned to the warehouse is determined in each empty storage position in the determined storage area based on the second item category set.

In this embodiment, after the electronic device determines the storage area for placing the shelf to be returned, the electronic device may determine, based on the second item category set, a target storage location for placing the shelf to be returned from among empty storage locations in the storage area. As an example, assuming that the number of shelves to be returned is 1, the electronic device may first obtain the minimum distance between each of the prestored empty storage positions and each picking workstation, and take the minimum value of the minimum distances as the first distance corresponding to the empty storage position; then, the electronic device may combine the empty slots into an empty slot sequence in order of the first distance from small to large, and for each empty slot in the empty slot sequence, the electronic device may determine whether the number of the same item types included in the second item type set and the item type group (the item type group including the item types of the stored items) corresponding to the shelf on which each bin adjacent to the empty slot (for example, the bin having the shelf placed and having the shortest distance from the empty slot) is placed exceeds a first preset number, and if not, the electronic device may determine the empty slot as the target slot on which the shelf to be returned is placed, and the electronic device may end the procedure of determining the target slot on which the shelf to be returned is placed. Here, the linear distance between the storage locations may be pre-stored locally in the electronic device, and the electronic device may locally read the linear distance between an empty storage location and other storage locations where shelves have been placed.

In some optional implementations of the embodiment, the electronic device may determine, by using an objective function (objective function), a target slot for placing the shelf to be returned to the library from among the empty slots. Wherein an objective function generally refers to the functional relationship of an objective of interest (a certain variable) and related factors (certain variables). As an example, the electronic device may establish the following objective function:

the objective function may include the following constraints:

wherein, I_cCan represent the current set of each shelf to be returned to the warehouse;

i may represent belonging to I_cThe shelf of (2);

j can represent a storage position set consisting of all empty storage positions currently included in the determined storage area for placing the shelf to be returned to the warehouse;

j may represent a bin attributed to J;

x_ijcan be a variable with a value of 0 or 1, when x_ijEqual to 0 may indicate that shelf i is not returning to storage j, when x_ijA value equal to 1 may indicate that shelf i is back in storage location j;

D_j＝min_md_jmd may represent the shortest distance, d_jmMay represent the shortest distance of the bin j from all the picking stations m, D may represent the minimum value, D_jMay represent the minimum of the shortest distances of a bin j from all picking stations m;

β₁、β₂balance factors may be expressed separately;

K₁＝I_{i}∩I_c，I_{i}may represent a collection of shelves similar to shelf i, K₁Can represent I_cA set of shelves similar to shelf i;

K₂＝I_{i}\{I_{i}∩I_c}，K₂may represent a collection of shelves on a storage location similar to shelf i;

r may represent the degree of overlap, r_ikThe coincidence degree of the goods shelf i and the goods shelf k can be represented;

c_jlc in (1) may represent a distance, c_jlMay represent the distance between bin j and bin l;

b_klcan be a variable with a value of 0 or 1, when b_klA value equal to 1 may indicate that shelf k is currently in storage location l.

It is noted that the second term in the objective function established by the electronic device is described above

Can be used for representing that two similar shelves to be returned to the warehouse are placed as dispersedly as possible. A third term in the objective function established by the electronic device

Can be used to indicate that the shelves to be returned are placed as far apart as possible from similar shelves already in the storage location. Constraint conditions

Can be used for indicating that each goods shelf is required to arrange a storage position and a constraint condition

Can be used for indicating that each storage position is provided with at most one shelf.

Here, after the electronic device establishes the objective function, the electronic device may solve the objective function, for example, x_ijx_klIs denoted as z_ijklThe objective function may be equivalent to the following new objective function:

the new objective function may include the following constraints:

the electronic device may solve the new objective function using a general linear programming solver (a linear programming solver is a tool for solving mixed integer linear programming problems, e.g., lp _ solution, which may solve purely linear, (mixed) integer/binary, semicontinuous, and special order set models with very high solver efficiency).

The balance factor may be manually preset, or may be automatically set by the electronic device. The electronic device may determine whether the two shelves are similar by: determining a first item type group consisting of the item types of the items stored on the shelf A (if the shelf A is a shelf to be returned, the first item type group refers to a second item type set corresponding to the shelf to be returned), and a second item type group consisting of the item types of the items stored on the shelf B; and determining whether the number of the same item types included in the first item type group and the second item type group exceeds the first preset number, and if so, determining that the shelf A is similar to the shelf B. The electronic device may further determine the coincidence degree of the two shelves by using a preset algorithm, which may include, for example, the following steps: the number of identical item types included in a first item type group corresponding to the shelf a and a second item type group corresponding to the shelf B is divided by the total number of item types included in the first item type group, and the obtained quotient is used as the contact ratio of the shelf a and the shelf B. The present embodiment does not set any limit to the preset algorithm. It should be noted that, by using the objective function to determine the target storage position for placing the shelf to be returned, the shelves with high similarity can be stored as separately as possible, so that the unmanned transport vehicles will not be excessively concentrated in a certain area and jammed once the same kind of article is required at each workstation during the delivery process.

Step 407, sending a second transporting instruction to the currently idle automated guided vehicle, so that the automated guided vehicle receiving the second transporting instruction transports the shelf to be returned to the warehouse to the corresponding target storage location.

In this embodiment, after the electronic device determines the target storage location for placing the backyard shelf, the electronic device may send a second transporting instruction to the currently idle automated guided vehicle, for example, in a wireless connection manner, so that the automated guided vehicle receiving the second transporting instruction transports the backyard shelf to the corresponding target storage location.

As can be seen from fig. 4, compared with the embodiment corresponding to fig. 2, the flow 400 of the information processing method in the present embodiment highlights the step of determining the storage area for placing the shelf to be returned, the target storage location, and the step of sending the second transporting instruction to the currently idle automated guided vehicle. Thus, the scheme described in the present embodiment can realize more comprehensive information processing.

With further reference to fig. 5, as an implementation of the method shown in the above figures, the present application provides an embodiment of an information processing apparatus, which corresponds to the embodiment of the method shown in fig. 2, and which is particularly applicable to various electronic devices.

As shown in fig. 5, the information processing apparatus 500 shown in the present embodiment includes: a receiving unit 501, a determining unit 502 and a processing unit 503. Wherein the receiving unit 501 is configured to receive an information processing request; the determination unit 502 is configured to determine whether the information processing request includes the following: the method comprises the steps of (1) setting up a work station identifier, an item type set and an item quantity corresponding to each item type in the item type set; the processing unit 503 is configured to, in response to determining that the information processing request includes the content, determine, in a preset cargo type set, a target cargo type corresponding to each item type in the item type set based on the quantity of items corresponding to each item type in the item type set when an empty rack cache is currently available at the rack indicated by the rack identifier and an empty unmanned carrier is currently available; determining a target shelf corresponding to the item category in a storage area in a managed warehouse based on the item category set and a target shelf type corresponding to each item category in the item category set, and determining a recommended shelving amount of the items of the item category on the corresponding target shelf based on a standard storage amount of a shelf of the target shelf type corresponding to the item category; and generating shelving recommendation information, wherein the shelving recommendation information comprises a corresponding relation among the item type in the item type set, a target shelf corresponding to the item type, a target shelf type and a recommended shelving amount.

In the present embodiment, in the information processing apparatus 500: the specific processing of the receiving unit 501 and the technical effect thereof may refer to the related description of step 201 in the embodiment corresponding to fig. 2, the specific processing of the determining unit 502 and the technical effect thereof may refer to the related description of step 202 in the embodiment corresponding to fig. 2, and the specific processing of the processing unit 503 and the technical effect thereof may refer to the related descriptions of step 203, step 204, and step 205 in the embodiment corresponding to fig. 2, which are not described herein again.

In some optional implementations of this embodiment, the apparatus 500 may further include: and an output unit (not shown) configured to output the racking recommendation information and transmit a first transport command to the currently empty automated guided vehicle so that the automated guided vehicle receiving the first transport command transports the target rack to the empty rack buffer location of the racking station.

In some optional implementations of this embodiment, the processing unit may be further configured to: for each item category in the item category set, selecting a goods lattice type from a preset goods lattice type set to generate a candidate goods lattice type set based on the average delivery amount of the items of the item category in a first preset time period; determining the minimum storage number of copies corresponding to the article type based on the current storage number of copies of the articles of the article type in the warehouse; and determining a target goods lattice type corresponding to the goods category in the candidate goods lattice type set based on the minimum storage number of the copies and the quantity of the goods corresponding to the goods category.

In some optional implementations of this embodiment, the processing unit may be further configured to: and for each goods lattice type in the preset goods lattice type set, if the standard storage quantity of the goods lattice corresponding to the goods lattice type is not less than the product of the average delivery quantity and a preset value, classifying the goods lattice type into a candidate goods lattice type set corresponding to the article type.

In some optional implementations of this embodiment, the processing unit may be further configured to: according to the order from large to small of the standard storage capacity of the goods grids of each goods grid type in the candidate goods grid type set, taking the first goods grid type in the candidate goods grid type set meeting the following conditions as a target goods grid type corresponding to the goods type: the ratio of the number of articles corresponding to the article category to the standard storage amount of the compartment corresponding to the compartment type is not less than the minimum number of stored copies corresponding to the article category.

In some optional implementations of this embodiment, the processing unit may be further configured to: and if the goods lattice type meeting the condition does not exist in the candidate goods lattice type set, taking the goods lattice type with the minimum standard storage quantity of the corresponding goods lattice in the candidate goods lattice type set as the target goods lattice type corresponding to the goods category.

In some optional implementation manners of this embodiment, each of the above-mentioned storage areas may be provided with a storage area tag; and the processing unit may be further configured to: for each item category in the item category set, determining item tags corresponding to the item category to generate an item tag set based on a probability that items of the item category are hit by an order within a second predetermined time period, wherein one item tag corresponds to at least one item category; for each item label in the item label set, forming a first item category set by the item category corresponding to the item label in the item category set, and executing the following processing steps at least once until each first item category in the first item category set meets a first preset condition: selecting one first item type from various first item types which do not meet the first preset condition but meet the second preset condition in the first item type set at present as a first item type to be matched; determining whether a first target shelf exists in a target storage area, in each of the storage areas, where the set storage area tag matches the item tag, where the first target shelf is a shelf including a target compartment, and the target compartment is a compartment in which an item of the first item category to be matched has been placed and a current storage amount is lower than a threshold; if the first target shelf exists, taking the difference value between the standard storage capacity and the current storage capacity of the target shelf as the recommended shelving amount of the first object shelf for the articles of the first to-be-matched article type; taking a first item type which currently meets a third preset condition in the first item types as a second item type to be matched, and if the first target shelf currently comprises an empty goods lattice of a target goods lattice type corresponding to the second item type to be matched, taking the standard storage capacity of the empty goods lattice as the recommended shelving capacity of the items of the second item type to be matched on the first target shelf; if the first target shelf currently has an empty goods lattice, selecting a first goods category which is the same as the goods lattice type of the empty goods lattice, does not meet the first preset condition, the second preset condition and the third preset condition and corresponds to a target goods lattice type from the first goods category set as a third goods category to be matched, and taking the standard storage amount of the empty goods lattice as the recommended shelving amount of the goods of the third goods category to be matched on the first target shelf.

In some optional implementations of this embodiment, the processing step may include: if the first target shelf does not exist in the target storage area, determining a second target shelf which currently meets a fourth preset condition in the target storage area; taking the standard storage capacity of the empty goods grid of which the current goods grid type is the target goods grid type corresponding to the first item type to be matched, which is currently included by the second target shelf, as the recommended shelving capacity of the items of the first item type to be matched on the second target shelf; taking the standard storage capacity of the empty goods grid of which the current goods grid type is the target goods grid type corresponding to the second to-be-matched item type and which is currently included by the second target shelf as the recommended shelving capacity of the second target shelf for the items of the second to-be-matched item type; and regarding a first item type which does not satisfy the first preset condition, the second preset condition and the third preset condition currently in the first item type set, taking the standard storage amount of an empty goods shelf of which the goods shelf type currently included in the second target shelf is the target goods shelf type corresponding to the first item type as the recommended shelving amount of the items of the first item type on the second target shelf.

In some optional implementations of this embodiment, the processing step may include: if there is no first item type satisfying the second preset condition in the first item type set or the included first item types satisfying the second preset condition all satisfy the first preset condition, a third target shelf currently satisfying a fourth preset condition is determined in the target storage area for the first item type not satisfying the first preset condition and the second preset condition in the first item type set, and the standard storage amount of an empty shelf whose shelf type included in the third target shelf is the target shelf type corresponding to the first item type is used as the recommended shelving amount of the first item type on the third target shelf.

In some optional implementations of this embodiment, the processing step may include: if the first target shelf and the second target shelf are not present in the target storage area, a target shelf corresponding to each first item type in the first item type set is identified in a storage area other than the target storage area in each of the storage areas, and a recommended shelving amount of the item of the first item type on the target shelf is identified.

In some optional implementations of this embodiment, the apparatus 500 may further include: a first processing unit (not shown in the figure) configured to, in response to a determination that the information processing request does not include the content, further determine whether the information processing request includes a shelf identifier; if the information processing request includes the shelf identifier, when there is an empty unmanned carrier at present, determining a first item tag set, a second item category set and the number of items corresponding to each item tag in the first item tag set stored on the shelf to be returned, wherein the first item tag set is a set of item tags of items currently stored on the shelf to be returned, each item tag in the first item tag set is provided with a weight value, and the second item category set is a set of item categories of items currently stored on the shelf to be returned; determining a storage area for placing the shelf to be returned in each storage area based on the weight value of each item label in the first item label set and the determined number of the items; determining a target storage position for placing the shelf to be returned in each empty storage position in the determined storage area based on the second item category set; and sending a second conveying instruction to the currently idle unmanned conveying vehicle so that the unmanned conveying vehicle receiving the second conveying instruction conveys the shelf to be returned to the warehouse to the corresponding target storage position.

In some optional implementation manners of this embodiment, each of the storage areas may correspond to a preset value range respectively; and the first processing unit may be further configured to: determining the product of the weight value of each item label in the first item label set and the number of the items corresponding to the item label, and adding and summing the determined products to obtain a first value; adding and summing the determined number of pieces to obtain a second value; and taking the ratio of the first value to the second value as a comparison value, and determining the storage area, which is included in the comparison value and corresponds to the preset value range, in each storage area as the storage area for placing the shelf to be returned.

In some optional implementations of this embodiment, the first processing unit may be further configured to: and determining the target reserve bit in each empty reserve bit by using an objective function.

The device provided by the embodiment of the application effectively utilizes the determination of the target goods lattice type, the target goods shelf and the recommended shelving amount corresponding to each item category in the item category set, and achieves rich and targeted information generation.

Referring now to FIG. 6, shown is a block diagram of a computer system 600 suitable for use in implementing the electronic device of an embodiment of the present application. The electronic device shown in fig. 6 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present application.

As shown in fig. 6, the computer system 600 includes a Central Processing Unit (CPU)601 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)602 or a program loaded from a storage section 608 into a Random Access Memory (RAM) 603. In the RAM 603, various programs and data necessary for the operation of the system 600 are also stored. The CPU 601, ROM 602, and RAM 603 are connected to each other via a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.

The following components are connected to the I/O interface 605: an input portion 606 including a keyboard, a mouse, and the like; an output portion 607 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage section 608 including a hard disk and the like; and a communication section 609 including a network interface card such as a LAN card, a modem, or the like. The communication section 609 performs communication processing via a network such as the internet. The driver 610 is also connected to the I/O interface 605 as needed. A removable medium 611 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 610 as necessary, so that a computer program read out therefrom is mounted in the storage section 608 as necessary.

In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 609, and/or installed from the removable medium 611. The above-described functions defined in the system of the present application are executed when the computer program is executed by the Central Processing Unit (CPU) 601.

It should be noted that the computer readable medium shown in the present application may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present application, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In this application, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams 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.

The units described in the embodiments of the present application may be implemented by software or hardware. The described units may also be provided in a processor, and may be described as: a processor includes a receiving unit, a determining unit, and a processing unit. Here, the names of these units do not constitute a limitation of the unit itself in some cases, and for example, a receiving unit may also be described as a "unit that receives an information processing request".

As another aspect, the present application also provides a computer-readable medium, which may be contained in the electronic device described in the above embodiments; or may exist separately without being assembled into the electronic device. The computer readable medium carries one or more programs which, when executed by an electronic device, cause the electronic device to include: receiving an information processing request; determining whether the information processing request includes the following: the method comprises the steps of (1) setting up a work station identifier, an item type set and an item quantity corresponding to each item type in the item type set; in response to determining that the information processing request includes the content, when an empty shelf cache currently exists at a racking station indicated by the racking station identifier and an empty unmanned carrying vehicle currently exists, determining a target cargo type corresponding to each item type in a preset cargo type set based on the quantity of items corresponding to each item type in the item type set; determining a target shelf corresponding to the item type in a storage area in a managed warehouse based on the item type set and a target shelf type corresponding to each item type in the item type set, and determining a recommended shelving amount of the items of the item type on the corresponding target shelf based on a standard storage amount of a shelf corresponding to the target shelf type corresponding to the item type; and generating shelving recommendation information, wherein the shelving recommendation information comprises a corresponding relation among the item type in the item type set, a target shelf corresponding to the item type, a target shelf type and a recommended shelving amount.

The above description is only a preferred embodiment of the application and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention herein disclosed is not limited to the particular combination of features described above, but also encompasses other arrangements formed by any combination of the above features or their equivalents without departing from the spirit of the invention. For example, the above features may be replaced with (but not limited to) features having similar functions disclosed in the present application.

Claims

1. An information processing method, characterized in that the method comprises:

receiving an information processing request;

determining whether the information processing request includes: an elevated workstation identifier, a set of item categories, and an item quantity corresponding to each item category in the set of item categories;

in response to determining that the information processing request includes the content, determining a target cargo type corresponding to each item category in a set of preset cargo type based on the quantity of items corresponding to the item category when the racking station indicated by the racking station identification currently has an empty rack cache space and currently has an empty unmanned carrier, including: for each item category in the item category set, selecting a goods type from a preset goods type set to generate a candidate goods type set based on the average delivery amount of the items of the item category in a first preset time period; determining the minimum storage number of copies corresponding to the article type based on the current storage number of copies of the articles in the warehouse; determining a target goods grid type corresponding to the goods category in the candidate goods grid type set based on the minimum storage number of copies and the quantity of the goods corresponding to the goods category; determining a target shelf corresponding to the item category in a storage area in the managed warehouse based on the item category set and a target shelf type corresponding to each item category in the item category set, and determining a recommended shelving amount of items of the item category on the corresponding target shelf based on a standard storage amount of a shelf of the target shelf type corresponding to the item category; generating shelving recommendation information, wherein the shelving recommendation information comprises a corresponding relation among the item types in the item type set, target shelves corresponding to the item types, target shelf types and recommended shelving amounts;

and outputting the racking recommendation information, and sending a first conveying instruction to the currently idle automated guided vehicle so that the automated guided vehicle receiving the first conveying instruction conveys the target rack to the empty rack cache position of the racking workstation.

2. The method of claim 1, wherein selecting a shelf type from a set of preset shelf types to generate a set of candidate shelf types based on an average shipment volume of items of the item category over a first predetermined time period comprises:

and for each goods lattice type in the preset goods lattice type set, if the standard storage capacity of the goods lattice corresponding to the goods lattice type is not less than the product of the average ex-warehouse quantity and a preset value, classifying the goods lattice type into a candidate goods lattice type set corresponding to the article type.

3. The method of claim 1, wherein determining a target grid type corresponding to the item category in the set of candidate grid types based on the minimum number of deposited copies and the number of items corresponding to the item category comprises:

according to the sequence that the standard storage capacity of the goods grids of each goods grid type in the candidate goods grid type set is from large to small, the first goods grid type meeting the following conditions in the candidate goods grid type set is taken as a target goods grid type corresponding to the goods type: the ratio of the number of articles corresponding to the article category to the standard storage amount of the compartment corresponding to the compartment type is not less than the minimum number of stored copies corresponding to the article category.

4. The method of claim 3, wherein determining a target grid type corresponding to the item category in the set of candidate grid types based on the minimum number of deposited copies and the number of items corresponding to the item category comprises:

and if the goods lattice type meeting the condition does not exist in the candidate goods lattice type set, taking the goods lattice type with the minimum standard storage capacity of the corresponding goods lattice in the candidate goods lattice type set as the target goods lattice type corresponding to the article type.

5. The method of claim 1, wherein each of said bins is provided with a bin tag; and

the determining, in a storage area in a managed warehouse, a target shelf corresponding to each item category based on the set of item categories and a target shelf type corresponding to the item category, and determining a recommended shelving amount of items of the item category on the corresponding target shelf based on a standard storage amount of a shelf of the target shelf type corresponding to the item category, includes:

for each item category in the item category set, determining item tags corresponding to the item category to generate an item tag set based on a probability that items of the item category are hit by an order within a second predetermined time period, wherein one item tag corresponds to at least one item category;

for each item label in the item label set, forming an item category corresponding to the item label in the item category set into a first item category set, and performing the following processing steps at least once until each first item category in the first item category set meets a first preset condition: selecting one first item type from all first item types which do not meet the first preset condition but meet the second preset condition in the first item type set at present as a first item type to be matched; determining whether a first target shelf exists in a target storage area, matched with the item label, of the set storage area labels in the storage areas, wherein the first target shelf is a shelf comprising a target shelf, and the target shelf is a shelf in which the current storage amount is lower than a threshold value and the item of the first item category to be matched is already stored; if the first target shelf exists, taking the difference value between the standard storage capacity and the current storage capacity of the target shelf as the recommended shelving loading capacity of the first item to be matched in the item category on the first target shelf; taking a first item type which currently meets a third preset condition in the first item types as a second item type to be matched, and taking the standard storage capacity of an empty goods grid as the recommended shelving capacity of the items of the second item type to be matched on a first target shelf if the first target shelf currently comprises the empty goods grid of the target goods grid type corresponding to the second item type to be matched; if the first target shelf has an empty goods lattice at present, selecting a first goods category which is the same as the goods lattice type of the empty goods lattice, does not meet the first preset condition, the second preset condition and the third preset condition and corresponds to the target goods lattice type from the first goods category set as a third goods category to be matched, and taking the standard storage capacity of the empty goods lattice as the recommended shelving capacity of the first target shelf of the goods of the third goods category to be matched.

6. The method of claim 5, wherein the processing step comprises:

if the first target shelf does not exist in the target storage area, determining a second target shelf which currently meets a fourth preset condition in the target storage area;

taking the standard storage amount of the empty goods grids of which the current goods grid types are the target goods grid types corresponding to the first item type to be matched, which are currently included by the second target shelf, as the recommended shelving amount of the items of the first item type to be matched on the second target shelf;

taking the standard storage amount of the empty goods grids of which the current goods grid types are the target goods grid types corresponding to the second to-be-matched item types and which are included by the second target shelf as the recommended shelving amount of the items of the second to-be-matched item types on the second target shelf;

and for a first item category which does not meet the first preset condition, the second preset condition and the third preset condition currently in the first item category set, taking the standard storage amount of an empty goods shelf of which the goods shelf type currently included by the second target shelf is the target goods shelf type corresponding to the first item category as the recommended shelving amount of the items of the first item category on the second target shelf.

7. The method of claim 5, wherein the processing step comprises:

if the first item category meeting the second preset condition does not exist in the first item category set, or the included first item categories meeting the second preset condition all meet the first preset condition, for the first item category which does not meet the first preset condition and the second preset condition currently in the first item category set, determining a third target shelf which meets a fourth preset condition currently in the target storage area, and taking the standard storage amount of empty goods grids of which the goods grid types are the target goods grid types corresponding to the first item category, included in the third target shelf, as the recommended shelf loading amount of the first item category on the third target shelf.

8. The method of claim 6, wherein the processing step comprises:

if the first target shelf and the second target shelf are not present in the target storage area, determining a target shelf corresponding to each first item category in the first item category set in storage areas other than the target storage area in the storage areas, and determining a recommended shelving amount of the item of the first item category on the target shelf.

9. The method according to one of claims 1 to 8, characterized in that the method further comprises:

in response to determining that the information processing request does not include the content, further determining whether the information processing request includes a shelf identification; if the information processing request comprises the shelf identifier, determining a first item label set, a second item category set and the number of items corresponding to each item label in the first item label set stored on the shelf to be returned, wherein the first item label set is a set of item labels of the items currently stored on the shelf to be returned, and the second item category set is a set of item categories of the items currently stored on the shelf to be returned, when an idle unmanned carrier exists currently; determining a bin for placing the shelf to be returned in each of the bins based on the weight value and the determined number of pieces for each item label in the first set of item labels; determining a target storage position for placing the shelf to be returned in each empty storage position in the determined storage area based on the second item category set; and sending a second carrying instruction to the currently idle automated guided vehicle so that the automated guided vehicle receiving the second carrying instruction carries the shelf to be returned to the warehouse to the corresponding target storage position.

10. The method of claim 9, wherein each of said reservoirs corresponds to a range of preset values; and

determining, in each of the bins, a bin for placing the backorder shelf based on the weight value and the determined number of pieces for each item label in the first set of item labels, comprising:

determining the products of the weight value of each item label in the first item label set and the number of the items corresponding to the item label, and adding and summing the determined products to obtain a first value;

adding and summing the determined number of pieces to obtain a second value;

and taking the ratio of the first value to the second value as a comparison value, and determining the storage area, which is included in the comparison value and corresponds to the preset value range, in each storage area as the storage area for placing the shelf to be returned.

11. The method of claim 9, wherein determining a target bin for placing the backorder shelf among the empty bins in the determined bin based on the set of second categories comprises:

determining the target bin in each of the empty bins using an objective function.

12. An information processing apparatus characterized in that the apparatus comprises:

a receiving unit configured to receive an information processing request;

a determination unit configured to determine whether the information processing request includes: an elevated workstation identifier, a set of item categories, and an item quantity corresponding to each item category in the set of item categories;

a processing unit, configured to, in response to determining that the information processing request includes the content, determine, when an empty shelf buffer location currently exists at a racking station indicated by the racking station identifier and an empty unmanned carrier currently exists, a target cargo type corresponding to each item category in the set of item categories based on an item quantity corresponding to the item category, in a set of preset cargo types, including: for each item category in the item category set, selecting a goods type from a preset goods type set to generate a candidate goods type set based on the average delivery amount of the items of the item category in a first preset time period; determining the minimum storage number of copies corresponding to the article type based on the current storage number of copies of the articles in the warehouse; determining a target goods grid type corresponding to the goods category in the candidate goods grid type set based on the minimum storage number of copies and the quantity of the goods corresponding to the goods category; determining a target shelf corresponding to the item category in a storage area in the managed warehouse based on the item category set and a target shelf type corresponding to each item category in the item category set, and determining a recommended shelving amount of items of the item category on the corresponding target shelf based on a standard storage amount of a shelf of the target shelf type corresponding to the item category; generating shelving recommendation information, wherein the shelving recommendation information comprises a corresponding relation among the item types in the item type set, target shelves corresponding to the item types, target shelf types and recommended shelving amounts;

and the output unit is configured to output the racking recommendation information and send a first conveying instruction to the currently idle automated guided vehicle so that the automated guided vehicle receiving the first conveying instruction conveys the target rack to the empty rack cache position of the racking station.

13. The apparatus of claim 12, further comprising:

a first processing unit configured to, in response to determining that the information processing request does not include the content, further determine whether the information processing request includes a shelf identification; if the information processing request comprises the shelf identifier, determining a first item label set, a second item category set and the number of items corresponding to each item label in the first item label set stored on the shelf to be returned, wherein the first item label set is a set of item labels of the items currently stored on the shelf to be returned, and the second item category set is a set of item categories of the items currently stored on the shelf to be returned, when an idle unmanned carrier exists currently; determining a bin for placing the shelf to be returned in each of the bins based on the weight value and the determined number of pieces for each item label in the first set of item labels; determining a target storage position for placing the shelf to be returned in each empty storage position in the determined storage area based on the second item category set; and sending a second carrying instruction to the currently idle automated guided vehicle so that the automated guided vehicle receiving the second carrying instruction carries the shelf to be returned to the warehouse to the corresponding target storage position.

14. An electronic device, comprising:

one or more processors;

a storage device for storing one or more programs,

when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-11.

15. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the method according to any one of claims 1-11.