CN113256195A - Goods picking implementation method and device - Google Patents

Goods picking implementation method and device Download PDF

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CN113256195A
CN113256195A CN202010084617.1A CN202010084617A CN113256195A CN 113256195 A CN113256195 A CN 113256195A CN 202010084617 A CN202010084617 A CN 202010084617A CN 113256195 A CN113256195 A CN 113256195A
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picking
area
tasks
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task
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白秀峰
张文静
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Beijing Jingdong Zhenshi Information Technology Co Ltd
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Beijing Jingdong Zhenshi Information Technology Co Ltd
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    • G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • G06Q10/047—Optimisation of routes or paths, e.g. travelling salesman problem
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06311—Scheduling, planning or task assignment for a person or group
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/083—Shipping
    • G06Q10/0835—Relationships between shipper or supplier and carriers
    • G06Q10/08355—Routing methods

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Abstract

The invention discloses a goods picking implementation method and device, and relates to the technical field of computers. The method comprises the steps that picking tasks of the times of waves within a preset time period with the current time as a starting point are obtained, the picking area of each picking task is calculated, and the picking tasks are sequenced according to the picking area; acquiring the position information of a picking terminal, and calculating a picking area closest to the position information; and sequentially searching the picking tasks comprising the nearest picking area based on the sorted picking tasks so as to distribute the picking tasks to the picking terminal. Therefore, the method and the device can solve the problems of low picking efficiency and poor user experience in the prior art.

Description

Goods picking implementation method and device
Technical Field
The invention relates to the technical field of computers, in particular to a goods picking implementation method and device.
Background
The warehouse goods picking operation is one of the operation flows of the internal operation of the warehouse in the modern logistics park, is an important step for the production and delivery of goods in the electronic commerce retail industry, and whether the goods picking operation is correct and efficient directly influences whether goods delivery is timely and on time. The increase in the amount of orders results in overstocking of orders, which affects the user experience.
In the existing warehouse goods picking operation process, after a warehouse receives an order, the order goods need to be positioned, and then field personnel receive a goods picking task. The staff picks the goods according to the picking line of the warehouse at a fixed starting point in the warehouse, and the system automatically distributes available rechecking platforms after the picking is finished. After one picking task is finished, the next picking task can be carried out, and the next picking task is still to pick from the original fixed starting point. However, in a period of short, the order quantity is increased rapidly, and the picking path is fixed and single, so that the order is overtime, the order is overstocked, and the production efficiency reaches a bottleneck. The complex and variable market environment and the promotion characteristics bring challenges to warehouse goods picking operation.
In the process of implementing the invention, the inventor finds that at least the following problems exist in the prior art:
when the positioning of goods in a task order changes, existing techniques cannot automatically change and adjust to accommodate the new situation. For the picking route set by the current program, the starting point is fixed, the route is single, and the rechecking platform is far away from the picking starting point in some scenes. The flexibility is too poor for the programmed pick-up routes and it is difficult to cope with production with promotional variations, so it is difficult to meet the production in terms of efficiency. The complexity and the variability of market environments in the e-commerce retail industry inevitably cause frequent changes of commodity sales characteristics, and in addition, the number of orders is counted by hundreds of thousands, so that the existing picking mode is low in efficiency.
Disclosure of Invention
In view of this, embodiments of the present invention provide a method and an apparatus for implementing picking, which can solve the problems of low picking efficiency and poor user experience in the prior art.
In order to achieve the above object, according to an aspect of the embodiments of the present invention, there is provided a picking implementation method, including obtaining picking tasks of a wave time within a preset time period starting from a current time, calculating a picking area of each picking task, and sorting the picking tasks according to the picking area areas; acquiring the position information of a picking terminal, and calculating a picking area closest to the position information; and sequentially searching the picking tasks comprising the nearest picking area based on the sorted picking tasks so as to distribute the picking tasks to the picking terminal.
Optionally, comprising:
when calculating the picking area of each picking task, wherein picking tasks with the same picking area are obtained; all picking tasks are sorted according to the picking area, wherein a plurality of picking tasks with the same sequence number exist.
Optionally, based on the sorted picking tasks, sequentially searching for the picking tasks including the nearest picking area to allocate the picking tasks to the picking terminal includes:
if a plurality of picking tasks comprising the nearest picking area exist in the same sequence number, the picking task corresponding to the nearest picking time from the current time is distributed to the picking terminal based on the times of the picking tasks.
Optionally, the obtaining the location information of the picking terminal and calculating the picking area closest to the location information includes:
receiving a preset instruction sent by a picking terminal, and acquiring rechecking platform position information of the picking terminal after picking so as to calculate a picking area closest to the rechecking platform position information.
Optionally, the obtaining the location information of the picking terminal and calculating the picking area closest to the location information includes:
receiving storage position information sent by a picking terminal, obtaining a picking area corresponding to the storage position information, and further taking the picking area as the nearest picking area.
Optionally, calculating a picking area for each picking task comprises:
calculating the area of each picking area corresponding to the picking task so as to sum the areas of all the picking areas to obtain the total area of the picking areas of the picking task;
the area of each picking area is the difference value of the maximum value of the abscissa and the minimum value of the abscissa multiplied by the difference value of the maximum value of the ordinate and the minimum value of the ordinate.
Optionally, assigning the picking task to the picking terminal comprises:
taking the position information of the picking terminal as a starting point, taking a picking area corresponding to the picking task as a path midpoint, and taking a rechecking table closest to the picking area as an end point;
obtaining a goods picking path based on a shortest path algorithm;
and distributing the picking tasks and the corresponding picking paths to the picking terminals.
In addition, the invention also provides a goods picking implementation device which comprises an acquisition module, a sorting module and a processing module, wherein the acquisition module is used for acquiring the goods picking tasks of the times of waves within a preset time period taking the current time as a starting point, calculating the area of a goods picking area of each goods picking task and sequencing the goods picking tasks according to the area of the goods picking areas; acquiring the position information of a picking terminal, and calculating a picking area closest to the position information; and the processing module is used for sequentially searching the picking tasks comprising the latest picking area based on the sorted picking tasks so as to distribute the picking tasks to the picking terminal.
One embodiment of the above invention has the following advantages or benefits: the picking tasks of the acquired times of waves in the preset time period with the current time as the starting point are adopted, and the picking area of each picking task is calculated so as to sort the picking tasks according to the picking area; acquiring the position information of a picking terminal, and calculating a picking area closest to the position information; and sequentially searching the picking tasks comprising the nearest picking area based on the sorted picking tasks so as to distribute the picking tasks to the picking terminals, so that the problems of low picking efficiency and poor user experience in the prior art are solved.
Further effects of the above-mentioned non-conventional alternatives will be described below in connection with the embodiments.
Drawings
The drawings are included to provide a better understanding of the invention and are not to be construed as unduly limiting the invention. Wherein:
fig. 1 is a schematic view of the main flow of a pick-up implementing method according to a first embodiment of the present invention;
FIG. 2 is a schematic diagram of a warehouse pick-up area according to an embodiment of the present invention;
figure 3 is a schematic diagram of picking area coordinate definition according to an embodiment of the present invention;
fig. 4 is a schematic diagram of the main flow of a pick-up implementation method according to a second embodiment of the invention;
fig. 5 is a schematic view of the main flow of a pick-up implementing method according to a third embodiment of the present invention;
fig. 6 is a schematic diagram of the main flow of a pick-up implementation method according to a fourth embodiment of the invention;
fig. 7 is a schematic diagram of the major modules of a pick fulfillment device according to an embodiment of the present invention;
FIG. 8 is an exemplary system architecture diagram in which embodiments of the present invention may be employed;
fig. 9 is a schematic structural diagram of a computer system suitable for implementing a terminal device or a server according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present invention are described below with reference to the accompanying drawings, in which various details of embodiments of the invention are included to assist understanding, and which are to be considered as merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the invention. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
Fig. 1 is a schematic diagram of a main flow of a picking implementation method according to a first embodiment of the invention, and as shown in fig. 1, the picking implementation method includes:
step S101, obtaining picking tasks of the wave time in a preset time period with the current time as a starting point, calculating the area of a picking area of each picking task, and sequencing the picking tasks according to the area of the picking areas.
The wave time refers to the distribution aging, for example, the ordering time is 10 points, and the wave time is 11 points to complete the warehouse-out.
In some embodiments, when calculating the area of each picking area for each picking task, the area of each picking area corresponding to the picking task may be calculated to sum the areas of all picking areas to obtain the total area of the picking area for the picking task. The area of each picking area is the difference value of the maximum value of the abscissa and the minimum value of the abscissa multiplied by the difference value of the maximum value of the ordinate and the minimum value of the ordinate.
As a specific example, as shown in fig. 2, a picking area (e.g., a area a, a area B, etc.) and a reviewing platform area (e.g., a area Z) are distributed in the warehouse, and the system may store the defined areas and the corresponding coordinate points in the database. Taking the picking area C as an example, as shown in fig. 3, the picking area is composed of 4 straight lines and 4 coordinate points, and the coordinates corresponding to the 4 points are: i (7, 12), II (7, 34), III (69, 34), IV (69, 12). Data tables including institutions (e.g., Beijing), warehouses, picking areas, coordinate sets, etc. may be set up in the database for attributes.
Further, the picking area may be represented by an abscissa interval value and an ordinate interval value, for example, the abscissa interval value is:
[min(x1,x2,x3,x4),max(x1,x2,x3,x4)]
the ordinate interval values are:
[min(y1,y2,y3,y4),max(y1,y2,y3,y4)]
thus, when calculating the pick area for each pick task, the following formula may be used:
H＝∑i{[max(x1,x2,…,xi)-min(x1,x2,…,xi)]*[max(y1,y2,…,yi)-min(y1,y2,…,yi)]}
wherein x isi(i is 1,2, …, n, n is the number of the divided picking areas): is the abscissa. y isi(i is 1,2, …, n, n is the number of the divided picking areas): is the ordinate.
It is worth explaining that, in order to better improve the picking efficiency, constraint conditions are set for the picking task:
(1) each picking task time does not exceed a preset time, for example 10 min.
(2) Each picking task cannot exceed N order sheets. The order picking task is formed by combining a plurality of task units with the same wave time.
Of course, the weight can be set for the constraint condition, and the value range is 0-1.
And step S102, acquiring the position information of the picking terminal, and calculating the picking area closest to the position information.
In some embodiments, a preset command sent by a picking terminal (for example, an RF gun, a handheld device for scanning) may be received, and review station location information of the picking terminal after picking is obtained to calculate a picking area closest to the review station location information.
In addition, in the embodiment, the storage location information sent by the picking terminal may be received, the picking area corresponding to the storage location information is obtained, and the picking area is used as the nearest picking area.
It should be noted that step S101 and step S102 may be executed simultaneously, or step S101 may be executed first and then step S102 may be executed, or step S102 may be executed first and then step S101 may be executed.
And step S103, sequentially searching the picking tasks comprising the latest picking area based on the sorted picking tasks so as to distribute the picking tasks to the picking terminals.
In some embodiments, when the picking task is allocated to the picking terminal, the position information of the picking terminal may be used as a starting point, a picking area corresponding to the picking task is used as a route midpoint, and a review station closest to the picking area is used as an end point. The pick path is obtained based on a shortest path algorithm (e.g., Dijkstra algorithm, Bellman-Ford algorithm, Floyd algorithm, SPFA algorithm, etc.). And distributing the picking tasks and the corresponding picking paths to the picking terminals. Preferably, the shortest path may be calculated using simulation. The simulation method is to establish a mathematical model of the system and convert the mathematical model into a simulation model suitable for programming on a computer.
As another embodiment of the present invention, since each picking area provided in the warehouse is fixed, the picking area involved in each picking task may be different or the same. Thus, when calculating the pick area for each pick task, it is possible to obtain pick tasks having the same pick area. All picking tasks are ordered according to the picking area, wherein there are multiple picking tasks with the same order number. Further, in step S103, if there are a plurality of picking tasks including the closest picking area in the same sequence number, the picking task corresponding to the closest picking time to the current time is assigned to the picking terminal based on the picking times of the plurality of picking tasks. Thus, this embodiment may enable the allocation of optimal picking tasks while taking into account the times of the wave.
In summary, the method for realizing picking of the order of the invention can dynamically adjust the picking route when the order production process changes, and can realize that the picking personnel can pick the order nearby without returning to the original starting point after the picking is finished. Also, the task-free movement of the order picker can be reduced. The invention makes up the defects of the existing order picking route, meets the requirements of the electronic commerce retail industry and the logistics industry on high efficiency and high speed of order production, and plays a promoting role in picking the storage goods and high efficiency of order production.
Fig. 4 is a schematic diagram of a main flow of a pick-up implementation method according to a second embodiment of the present invention, which may include:
step S401, a picking task with the time of the wave times within a preset time period with the current time as a starting point is obtained.
Step S402, calculating the area of each picking area corresponding to the picking task, and adding the areas of all the picking areas to obtain the total area of the picking areas of the picking task.
The area of each picking area is the difference value of the maximum value of the abscissa and the minimum value of the abscissa multiplied by the difference value of the maximum value of the ordinate and the minimum value of the ordinate.
Step S403, acquiring the position information of the picking terminal, and calculating the picking area closest to the position information.
And S404, sequentially searching the picking tasks comprising the nearest picking area based on the sorted picking tasks to obtain the picking tasks to be distributed.
Step S405, determining whether there are multiple picking tasks to be allocated, if yes, performing step S406, otherwise, directly performing step S407.
Step S406, based on the multiple picking tasks, selecting the picking task corresponding to the nearest picking time from the current time.
Step S407, assign the picking task to the picking terminal.
In some embodiments, the location information of the picking terminal may be used as a starting point, the picking area corresponding to the picking task is used as a route midpoint, and the reviewing station closest to the picking area is used as an end point. And then based on a shortest path algorithm, obtaining a picking path, and further distributing the picking task and the corresponding picking path to the picking terminal.
Fig. 5 is a schematic diagram of a main flow of a pick-up implementation method according to a third embodiment of the present invention, which may include:
step S501, a picking task of the time of the wave within a preset time period with the current time as a starting point is obtained.
Step S502, calculating the picking area of each picking task so as to sort the picking tasks according to the picking area.
In step S503, a reverse picking command sent by the picking terminal is received.
Step S504, obtaining the rechecking table position information of the picking terminal after picking, so as to calculate the picking area closest to the rechecking table position information.
And step S505, sequentially searching the picking tasks comprising the latest picking area based on the sorted picking tasks so as to distribute the picking tasks to the picking terminals.
As a specific embodiment, the picking personnel completes the current picking task and sends the goods in the picking task to the rechecking table for rechecking. After the rechecking is finished, the picking personnel click a 'reverse picking' button on the picking terminal, and the system receives an instruction and then acquires the position of the rechecking table. According to the process, the tasks to be picked in the task pool are optimally distributed, and the newly generated picking tasks are pushed to picking personnel. And then, the picking personnel do not need to return to the original starting point again to pick the goods, so that the time of the picking personnel for moving without tasks is reduced, and the picking efficiency is improved.
Fig. 6 is a schematic diagram of a main flow of a picking implementation method according to a fourth embodiment of the present invention, which may include:
step S601, a picking task of the wave time within a preset time period with the current time as a starting point is obtained.
Step S602, calculating the picking area of each picking task, and sequencing the picking tasks according to the picking area.
Step S603, receiving the storage location information sent by the picking terminal.
Step S604, a picking area corresponding to the storage location information is obtained, and the picking area is used as a nearest picking area.
Step S605, sequentially searching the picking tasks including the nearest picking area based on the sorted picking tasks, so as to allocate the picking tasks to the picking terminal.
As a specific example, work within a warehouse may be faced with a scenario where: after the picking personnel finishes the current picking task, forget to click a 'reverse picking' button or temporarily go out to return to the warehouse again, the picking personnel can scan the storage position codes nearby by using the picking terminal, the system can lock the storage position coordinate position after receiving the instruction, according to the process, the task to be picked in the task pool is optimally distributed, and the newly generated picking task is pushed to the picking personnel. Therefore, the picking personnel can start the picking task nearby, thereby improving the overall picking speed in the bin.
It can be seen that through the various embodiments, the on-site goods picking personnel reduce more goods picking steps, improve the goods picking efficiency and unnecessary loss, even save 3000/person every day, make up the deficiency of the existing goods picking route, cater to the requirements of the electronic commerce retail industry and the logistics industry for high efficiency and high speed of order production, and play a promoting role in picking goods of storage space goods and high efficiency order production at present. Meanwhile, the division and management of the goods picking area in the warehouse are more accurate.
Fig. 7 is a schematic diagram of the main modules of a pick-order implementing device 700 according to an embodiment of the present invention, as shown in fig. 7, including an acquisition module 701 and a processing module 702. The obtaining module 701 obtains picking tasks with the wave time within a preset time period taking the current time as a starting point, calculates the area of a picking area of each picking task, and sorts the picking tasks according to the area of the picking area; and acquiring the position information of the picking terminal, and calculating the picking area closest to the position information. The processing module 702 sequentially searches the picking tasks including the nearest picking area based on the sorted picking tasks to assign the picking tasks to the picking terminal.
In some embodiments, the acquisition module 701 obtains pick orders having the same pick area when calculating the pick area for each pick order. All picking tasks are sorted according to the picking area, wherein a plurality of picking tasks with the same sequence number exist.
In further embodiments, the processing module 702 sequentially searches the picking tasks including the nearest picking area based on the sorted picking tasks to assign the picking tasks to the picking terminal, including:
if a plurality of picking tasks comprising the nearest picking area exist in the same sequence number, the picking task corresponding to the nearest picking time from the current time is distributed to the picking terminal based on the times of the picking tasks.
As another embodiment of the present invention, the obtaining module 701 obtains the location information of the order picking terminal, and calculates the order picking area closest to the location information, including:
receiving a preset instruction sent by a picking terminal, and acquiring rechecking platform position information of the picking terminal after picking so as to calculate a picking area closest to the rechecking platform position information.
As still other embodiments, the obtaining module 701 obtains the location information of the order picking terminal, and calculates the order picking area closest to the location information, including:
receiving storage position information sent by a picking terminal, obtaining a picking area corresponding to the storage position information, and further taking the picking area as the nearest picking area.
It is worth noting that the obtaining module 701 calculates the picking area of each picking task, including:
calculating the area of each picking area corresponding to the picking task so as to sum the areas of all the picking areas to obtain the total area of the picking areas of the picking task; the area of each picking area is the difference value of the maximum value of the abscissa and the minimum value of the abscissa multiplied by the difference value of the maximum value of the ordinate and the minimum value of the ordinate.
Also, the processing module 702 assigns the picking tasks to the picking terminals, including:
taking the position information of the picking terminal as a starting point, taking a picking area corresponding to the picking task as a path midpoint, and taking a rechecking table closest to the picking area as an end point; obtaining a goods picking path based on a shortest path algorithm; and distributing the picking tasks and the corresponding picking paths to the picking terminals.
It should be noted that the order picking implementation method and the order picking implementation device of the present invention have corresponding relation in the specific implementation contents, and therefore the repeated contents are not described again.
Figure 8 illustrates an exemplary system architecture 800 in which the order picking implementation method or order picking implementation apparatus of embodiments of the present invention may be employed.
As shown in fig. 8, the system architecture 800 may include terminal devices 801, 802, 803, a network 804, and a server 805. The network 804 serves to provide a medium for communication links between the terminal devices 801, 802, 803 and the server 805. Network 804 may include various types of connections, such as wire, wireless communication links, or fiber optic cables, to name a few.
A user may use the terminal devices 801, 802, 803 to interact with a server 805 over a network 804 to receive or send messages or the like. The terminal devices 801, 802, 803 may have installed thereon various communication client applications, such as shopping-like applications, web browser applications, search-like applications, instant messaging tools, mailbox clients, social platform software, etc. (by way of example only).
The terminal devices 801, 802, 803 may be various electronic devices having pick-up enabling screens and supporting web browsing, including but not limited to smart phones, tablets, laptop and desktop computers, and the like.
The server 805 may be a server that provides various services, such as a back-office management server (for example only) that supports shopping-like websites browsed by users using the terminal devices 801, 802, 803. The backend management server may analyze and perform other processing on the received data such as the product information query request, and feed back a processing result (for example, target push information, product information — just an example) to the terminal device.
It should be noted that the picking implementation method provided by the embodiment of the present invention is generally executed by the server 805, and accordingly, the computing device is generally disposed in the server 805.
It should be understood that the number of terminal devices, networks, and servers in fig. 8 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
Referring now to FIG. 9, shown is a block diagram of a computer system 900 suitable for use with a terminal device implementing an embodiment of the present invention. The terminal device shown in fig. 9 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present invention.
As shown in fig. 9, the computer system 900 includes a Central Processing Unit (CPU)901 that can perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)902 or a program loaded from a storage section 908 into a Random Access Memory (RAM) 903. In the RAM903, various programs and data necessary for the operation of the computer system 900 are also stored. The CPU901, ROM902, and RAM903 are connected to each other via a bus 904. An input/output (I/O) interface 905 is also connected to bus 904.
The following components are connected to the I/O interface 905: an input portion 906 including a keyboard, a mouse, and the like; an output section 907 including components such as a Cathode Ray Tube (CRT), a liquid crystal picker realiser (LCD), and the like, and a speaker and the like; a storage portion 908 including a hard disk and the like; and a communication section 909 including a network interface card such as a LAN card, a modem, or the like. The communication section 909 performs communication processing via a network such as the internet. The drive 910 is also connected to the I/O interface 905 as necessary. A removable medium 911 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 910 as necessary, so that a computer program read out therefrom is mounted into the storage section 908 as necessary.
In particular, according to the embodiments 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 909, and/or installed from the removable medium 911. The above-described functions defined in the system of the present invention are executed when the computer program is executed by a Central Processing Unit (CPU) 901.
It should be noted that the computer readable medium shown in the present invention can 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 invention, 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 the present invention, 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 invention. 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 modules described in the embodiments of the present invention may be implemented by software or hardware. The described modules may also be provided in a processor, which may be described as: a processor includes an acquisition module and a processing module. Wherein the names of the modules do not in some cases constitute a limitation of the module itself.
As another aspect, the present invention also provides a computer-readable medium that may be contained in the apparatus described in the above embodiments; or may be separate and not incorporated into the device. The computer readable medium carries one or more programs which, when executed by a device, cause the device to include picking tasks for which a wave time is obtained within a preset time period starting from a current time, calculate a picking area for each picking task, and sort the picking tasks according to the picking area areas; acquiring the position information of a picking terminal, and calculating a picking area closest to the position information; and sequentially searching the picking tasks comprising the nearest picking area based on the sorted picking tasks so as to distribute the picking tasks to the picking terminal.
According to the technical scheme of the embodiment of the invention, the problems of low picking efficiency and poor user experience in the prior art can be solved.
The above-described embodiments should not be construed as limiting the scope of the invention. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions can occur, depending on design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (10)

1. A method for realizing picking is characterized by comprising the following steps:
acquiring picking tasks of the wave time within a preset time period taking the current time as a starting point, calculating the area of a picking area of each picking task, and sequencing the picking tasks according to the area of the picking area;
acquiring the position information of a picking terminal, and calculating a picking area closest to the position information;
and sequentially searching the picking tasks comprising the nearest picking area based on the sorted picking tasks so as to distribute the picking tasks to the picking terminal.
2. The method of claim 1, comprising:
when calculating the picking area of each picking task, wherein picking tasks with the same picking area are obtained; all picking tasks are sorted according to the picking area, wherein a plurality of picking tasks with the same sequence number exist.
3. The method of claim 2, wherein sequentially finding the picking tasks including the nearest picking area based on the sorted picking tasks to assign the picking tasks to the picking terminal comprises:
if a plurality of picking tasks comprising the nearest picking area exist in the same sequence number, the picking task corresponding to the nearest picking time from the current time is distributed to the picking terminal based on the times of the picking tasks.
4. The method of claim 1, wherein obtaining location information of a pick-up terminal, calculating a pick-up area closest to the location information, comprises:
receiving a preset instruction sent by a picking terminal, and acquiring rechecking platform position information of the picking terminal after picking so as to calculate a picking area closest to the rechecking platform position information.
5. The method of claim 1, wherein obtaining location information of a pick-up terminal, calculating a pick-up area closest to the location information, comprises:
receiving storage position information sent by a picking terminal, obtaining a picking area corresponding to the storage position information, and further taking the picking area as the nearest picking area.
6. The method of claim 1, wherein calculating a picking area for each picking task comprises:
calculating the area of each picking area corresponding to the picking task so as to sum the areas of all the picking areas to obtain the total area of the picking areas of the picking task;
the area of each picking area is the difference value of the maximum value of the abscissa and the minimum value of the abscissa multiplied by the difference value of the maximum value of the ordinate and the minimum value of the ordinate.
7. The method according to any one of claims 1-6, wherein assigning the picking order to the picking terminal comprises:
taking the position information of the picking terminal as a starting point, taking a picking area corresponding to the picking task as a path midpoint, and taking a rechecking table closest to the picking area as an end point;
obtaining a goods picking path based on a shortest path algorithm;
and distributing the picking tasks and the corresponding picking paths to the picking terminals.
8. A pick fulfillment device, comprising:
the acquisition module is used for acquiring the picking tasks of the wave time within a preset time period by taking the current time as a starting point, calculating the area of a picking area of each picking task and sequencing the picking tasks according to the area of the picking area; acquiring the position information of a picking terminal, and calculating a picking area closest to the position information;
and the processing module is used for sequentially searching the picking tasks comprising the latest picking area based on the sorted picking tasks so as to distribute the picking tasks to the picking terminal.
9. 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 1-7.
10. A computer-readable 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 1-7.
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