CN114345714B - Article sorting method and device - Google Patents
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Abstract
The invention discloses a method and a device for sorting articles, and relates to the technical field of warehouse logistics. One embodiment of the method comprises the following steps: acquiring an order to be sorted, wherein the order to be sorted indicates distribution nodes and time efficiency information corresponding to the articles to be sorted; based on the aging information, determining grouping information corresponding to the articles to be sorted when being sorted in a logistics center, so as to count the number of the articles to be sorted corresponding to each distribution node under the same grouping information; distributing one or more sorting grids to the distribution nodes under the grouping information according to the quantity of the articles to be sorted; and sorting the articles to be sorted of the distribution node in the logistics center based on the distributed sorting grid. According to the embodiment, automatic chemical combination distribution of the sorting grid openings is realized, and the sorting efficiency of the articles is improved.
Description
Technical Field
The invention relates to the technical field of warehouse logistics, in particular to an article sorting method and device.
Background
Sorting is an important link in the technical field of warehouse logistics, and plays a vital role in improving article delivery efficiency, logistics transportation efficiency and the like.
At present, a large number of articles to be sorted in a sorting center can only be manually distributed with sorting grids for sorting stations or distribution stations, and the sorting grids are excessively dependent on the past experience of staff, so that the rationality of the distributed sorting grids cannot be ensured, and the sorting efficiency of the articles is improved to the greatest extent.
Disclosure of Invention
In view of this, the embodiments of the present invention provide a method and an apparatus for sorting articles, which can automatically allocate one or more sorting grids for a distribution node based on aging information, grouping information, etc. of the articles to be sorted, so as to improve the utilization rate of the sorting grids, and further improve the sorting efficiency of the articles.
To achieve the above object, according to an aspect of an embodiment of the present invention, there is provided an article sorting method including:
acquiring an order to be sorted, wherein the order to be sorted indicates distribution nodes and time efficiency information corresponding to the articles to be sorted;
based on the aging information, determining grouping information corresponding to the articles to be sorted when being sorted in a logistics center, so as to count the number of the articles to be sorted corresponding to each distribution node under the same grouping information;
distributing one or more sorting grids to the distribution nodes under the grouping information according to the quantity of the articles to be sorted;
and sorting the articles to be sorted of the distribution node in the logistics center based on the distributed sorting grid.
Optionally, the distributing node under the grouping information is allocated with one or more sorting grids according to the number of the articles to be sorted, including:
determining the estimated sorting time length required by the distribution node according to the number of the articles to be sorted and the current sorting grid number corresponding to the distribution node;
and comparing the estimated sorting time length with the time length corresponding to the grouping information, so as to newly allocate one or more sorting grids to the distribution node under the condition that the estimated sorting time length is not less than the time length corresponding to the grouping information until the estimated sorting time length required by the distribution node is not greater than the time length corresponding to the grouping information.
Optionally, the determining, according to the number of the articles to be sorted and the number of the current sorting grids corresponding to the distribution node, the estimated sorting duration required by the distribution node includes:
determining the average sorting time length required by the sorting grids to process the single articles to be sorted based on the current sorting grid number corresponding to the distribution nodes;
and calculating the product of the average sorting duration and the number of the articles to be sorted to obtain the estimated sorting duration.
Optionally, the determining, based on the number of the current sorting bins corresponding to the distribution node, an average sorting duration required for the sorting bins to process the single articles to be sorted includes:
determining the number of the full bags of the articles required when the bags corresponding to the sorting grids are filled with the articles according to the number of the current sorting grids;
determining the full-bag sorting time length required when the packing bags corresponding to the sorting grid openings are full of articles according to the parameters of the sorting equipment;
and calculating the average sorting duration according to the sorting duration of the full bags and the number of the articles of the full bags.
Optionally, the method further comprises:
before one or more sorting grids are distributed to the distribution nodes under the grouping information according to the quantity of the articles to be sorted, sorting the distribution nodes according to the sequence from high to low of the quantity of the articles to be sorted, and distributing one or more sorting grids for the sorted distribution nodes in sequence.
Optionally, under the condition that at least two sorting grids are distributed at the distribution and transportation node, when the logistics center sorts the articles to be sorted, articles are dropped into the packing bags of different sorting grids in sequence in a waterfall grid mode.
To achieve the above object, according to another aspect of an embodiment of the present invention, there is provided an article sorter including: the system comprises an order acquisition module, a grouping information determination module, a sorting grid allocation module and an article sorting module; wherein,,
the order acquisition module is used for acquiring an order to be sorted, and the order to be sorted indicates distribution nodes corresponding to the articles to be sorted and time efficiency information;
the grouping information determining module is used for determining grouping information corresponding to the articles to be sorted when the articles to be sorted are sorted in the logistics center based on the aging information so as to count the number of the articles to be sorted corresponding to each distribution node under the same grouping information;
the sorting grid allocation module is used for allocating one or more sorting grids to the distribution nodes under the grouping information according to the quantity of the articles to be sorted;
and the article sorting module is used for sorting the articles to be sorted of the distribution and transportation node in the logistics center based on the distributed sorting grid.
Optionally, the sorting grid allocation module is configured to determine an estimated sorting duration required by the distribution node according to the number of the articles to be sorted and the current sorting grid number corresponding to the distribution node; and comparing the estimated sorting time length with the time length corresponding to the grouping information, so as to newly allocate one or more sorting grids to the distribution node under the condition that the estimated sorting time length is not less than the time length corresponding to the grouping information until the estimated sorting time length required by the distribution node is not greater than the time length corresponding to the grouping information.
Optionally, the determining, according to the number of the articles to be sorted and the number of the current sorting grids corresponding to the distribution node, the estimated sorting duration required by the distribution node includes:
determining the average sorting time length required by the sorting grids to process the single articles to be sorted based on the current sorting grid number corresponding to the distribution nodes;
and calculating the product of the average sorting duration and the number of the articles to be sorted to obtain the estimated sorting duration.
Optionally, the determining, based on the number of the current sorting bins corresponding to the distribution node, an average sorting duration required for the sorting bins to process the single articles to be sorted includes:
determining the number of the full bags of the articles required when the bags corresponding to the sorting grids are filled with the articles according to the number of the current sorting grids;
determining the full-bag sorting time length required when the packing bags corresponding to the sorting grid openings are full of articles according to the parameters of the sorting equipment;
and calculating the average sorting duration according to the sorting duration of the full bags and the number of the articles of the full bags.
Optionally, the sorting bin allocation module is further configured to,
before one or more sorting grids are distributed to the distribution nodes under the grouping information according to the quantity of the articles to be sorted, sorting the distribution nodes according to the sequence from high to low of the quantity of the articles to be sorted, and distributing one or more sorting grids for the sorted distribution nodes in sequence.
Optionally, the article sorting module is configured to, when the distribution node distributes at least two sorting grids, sort the articles to be sorted by the logistics center, and sequentially drop the articles into the bags of different sorting grids in a waterfall grid manner.
To achieve the above object, according to an aspect of an embodiment of the present invention, there is provided an electronic apparatus for sorting articles, including: one or more processors; and storage means for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to implement any of the methods of sorting items described above.
To achieve the above object, according to one aspect of the embodiments of the present invention, there is provided a computer-readable medium having stored thereon a computer program which, when executed by a processor, implements the method of any one of the item sorting methods described above.
One embodiment of the above invention has the following advantages or benefits: because the sorting grid or multiple sorting grids are automatically distributed to the distribution nodes based on the ageing information, grouping information and the like of the articles to be sorted, namely, the most reasonable sorting plan is formulated, dependence on limited manual experience is avoided, the utilization rate of the sorting grids when sorting is performed by using sorting equipment is improved, and the sorting efficiency of the articles is further improved.
Further effects of the above-described non-conventional alternatives are 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 illustration of the main flow of an article sorting method according to an embodiment of the present invention;
fig. 2 is a schematic view of the main structure of the article sorting apparatus according to the embodiment of the present invention; the device comprises a trolley, a sorting grid, a scanning station, a bag supply station, a code scanning station and a first row of sorting grid, wherein the trolley, the sorting grid, the scanning station and the bag supply station are arranged in sequence, and the distance from the code scanning station to the first row of sorting grid is 1;
fig. 3 is a schematic view of the main modules of the article sorting apparatus according to an embodiment of the present invention;
FIG. 4 is an exemplary system architecture diagram in which embodiments of the present invention may be applied;
fig. 5 is a schematic diagram of a computer system suitable for use in implementing an embodiment of the invention.
Detailed Description
Exemplary embodiments of the present invention will now be described with reference to the accompanying drawings, in which various details of the embodiments of the present invention are included to facilitate understanding, and are to be considered 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 an article sorting method according to an embodiment of the present invention, and as shown in fig. 1, the article sorting method may specifically include the following steps:
step S101, acquiring an order to be sorted, wherein the order to be sorted indicates distribution nodes and time efficiency information corresponding to the articles to be sorted.
The articles to be sorted can be packaged packages to be sorted or unpackaged products. The order to be sorted can also indicate the order number or the order number, the product attribute corresponding to the product in the object to be sorted and other information, such as the product type, the product color, whether the product is fragile or not and the like; the distribution node is a station for distributing the sorted articles; the time-of-day information refers to information such as 1 hour, the day, the next day, etc. selected by the user when the user places a list.
Step S102, based on the aging information, determining grouping information corresponding to the articles to be sorted when being sorted in a logistics center, so as to count the number of the articles to be sorted corresponding to each distribution node under the same grouping information.
Specifically, in order to improve sorting efficiency, the logistics center automatically groups a large number of orders to be sorted, namely selects the orders to be sorted which can be processed in batches within the same time period, and forms a plurality of wave numbers to be processed respectively within different time periods, wherein different wave numbers correspond to different grouping information. As described by taking a total of 4 wave times of the logistics center as an example, the corresponding grouping information (wave time information) is: wave times D1, 02:00-06:00; wave times D2, 09:00-12:00; wave times D3, 13:00-17:00; wave times D4, 19:00-23:00.
On the basis, after the order to be sorted is obtained, the time for the article to be sorted corresponding to the order to be sorted to reach the logistics center can be calculated according to the ageing information indicated by the order to be sorted and the routing information such as the distance from the warehousing system to the logistics center, the ferrying time and the like, so that the grouping information (wave order information) corresponding to the article to be sorted is determined, and if the time for the article to be sorted to reach the logistics center is described by taking 18:00 as an example, the grouping information (wave order information) corresponding to the article to be sorted can be determined to be the wave order D4, 19:00-23:00 of the same day. In this manner, the grouping information corresponding to the items to be sorted indicated by each order to be sorted may be determined, see table 1 below.
Table 1 grouping information examples corresponding to articles to be sorted
| Order number to be sorted | Distribution node | Articles to be sorted | Grouping information |
| 01 | site1 | P1 | D1、02:00-06:00 |
| 02 | site2 | P2 | D2、09:00-12:00 |
| 03 | site3 | P3 | D1、02:00-06:00 |
| 04 | site1 | P4 | D2、09:00-12:00 |
| 05 | site2 | P5 | D1、02:00-06:00 |
| 06 | site1 | P6 | D3、13:00-17:00 |
| 07 | site1 | P7 | D1、02:00-06:00 |
| …… | …… | …… | …… |
Based on the above, the number of the articles to be sorted corresponding to each piece of grouping information can be counted. Still taking the grouping information corresponding to the articles to be sorted as shown in table 1 as an example for illustration, the counted number of the articles to be sorted corresponding to different distribution nodes under the same grouping information is shown in table 2 below.
Table 2 quantity of articles to be sorted corresponding to distribution node
Step S103, distributing one or more sorting grids for the distribution nodes under the grouping information according to the quantity of the articles to be sorted.
Wherein, sort the check mouth and be used for falling into the facility of packing bag with article on the sorting equipment of commodity circulation center. Specifically, the cross-belt sorter shown in fig. 2 is taken as an example, and sorting grids are a1, a2, a3, b1, b2, b3, and the like. It will be appreciated that, since the sorting apertures are arranged row by row, the time for the articles to be sorted to reach the sorting apertures of different rows from the scanning station is different, such as reaching the sorting apertures a1, b1 in the first row first, then the sorting apertures a2, b2 in the second row, etc., so as to improve sorting efficiency, adjacent or same row sorting apertures, such as a1, b1, a2, etc., may be preferentially allocated to the same distribution node when sorting the apertures.
Further, in order to reduce the conveying time of the articles to be sorted on the sorting equipment as much as possible, so as to improve the sorting efficiency, before one or more sorting grids are allocated to the distribution nodes under the grouping information according to the quantity of the articles to be sorted, the distribution nodes are sorted according to the sequence from high to low according to the quantity of the articles to be sorted, so that one or more sorting grids are allocated to the sorted distribution nodes in sequence. For example, if the number of the articles to be sorted corresponding to the distributing nodes site1, site2 and site3 under the same group information is 50, 80 and 100, the ordered sequence is site3, site2 and site1 respectively, and based on this, one or more sorting grids closest to the scanning station are preferentially allocated to the distributing node site3 with the largest number of the articles to be sorted.
In an optional embodiment, the allocating one or more sorting grids for the distribution node under the grouping information according to the number of the articles to be sorted includes: determining the estimated sorting time length required by the distribution node according to the number of the articles to be sorted and the current sorting grid number corresponding to the distribution node; and comparing the estimated sorting time length with the time length corresponding to the grouping information, so as to newly allocate one or more sorting grids to the distribution node under the condition that the estimated sorting time length is not less than the time length corresponding to the grouping information until the estimated sorting time length required by the distribution node is not greater than the time length corresponding to the grouping information.
Further, the determining, according to the number of the articles to be sorted and the number of the current sorting grids corresponding to the distribution node, the estimated sorting duration required by the distribution node includes: determining the average sorting time length required by the sorting grids to process the single articles to be sorted based on the current sorting grid number corresponding to the distribution nodes; and calculating the product of the average sorting duration and the number of the articles to be sorted to obtain the estimated sorting duration.
It can be understood that, in the case that the distribution node needs to process the to-be-sorted articles, at least one sorting bin needs to be allocated to the distribution node, that is, the number of current sorting bins corresponding to the distribution node is at least 1, so that when the estimated sorting time period is calculated, the initial value of the number of current sorting bins is 1, for example, the number of to-be-sorted articles corresponding to the distribution node S under the grouping information D is illustrated as N, the estimated sorting time period required by the distribution node S can be calculated by the following formula:
estimated sorting duration = N-average sorting duration
The time duration of the wave is the time duration corresponding to the packet information, for example, taking the packet information D1, 02:00-06:00 as an example, the corresponding time duration of the wave is 240min. Based on the method, the estimated sorting time length and the wave time length can be compared, if the estimated sorting time length is not greater than the wave time length, the next sorting grid of the grouping information can finish the processing of N articles to be sorted corresponding to the distribution node S, so that the distribution node N is not required to be distributed with more sorting grids; if the estimated sorting time period is longer than the wave time period, the fact that N articles to be sorted corresponding to the distribution node S cannot be processed at the next sorting grid point of the grouping information is indicated, the distribution node is considered to be newly allocated with one sorting grid point, namely the number of the current sorting grid points is increased from 1 to 2, the average sorting time period and the estimated sorting time period are calculated again based on the updated number of the current sorting grid points, whether the distribution node is required to be continuously allocated with the new sorting grid points is judged according to comparison with the wave time period, and the cycle is repeated until the estimated sorting time period corresponding to the number of the current sorting grid points of the distribution node is not longer than the wave time period, and the distribution of the sorting grid points for the distribution node is stopped, so that the number of the current sorting grid points of the distribution node is determined to be the number of the sorting grid points corresponding to the distribution node.
Still further, the determining, based on the number of the current sorting bins corresponding to the distribution node, an average sorting duration required for the sorting bins to process the single articles to be sorted includes: determining the number of the full bags of the articles required when the bags corresponding to the sorting grids are filled with the articles according to the number of the current sorting grids; determining the full-bag sorting time length required when the packing bags corresponding to the sorting grid openings are full of articles according to the parameters of the sorting equipment; and calculating the average sorting duration according to the sorting duration of the full bags and the number of the articles of the full bags.
Parameters of the sorting apparatus include, but are not limited to: the bag supplying platform supplies bags efficiently, the running speed of the belt of the cross sorting machine, the time required for processing full bags to pack bags and replacing empty bags when the bags to be packed corresponding to the sorting grid openings are full, the distance from the surface sweeping station to the sorting grid openings and the like.
Specifically, referring still to fig. 2, taking the current sorting bin allocated to the distribution node S as a1 as an example, the average sorting duration corresponding to the current sorting bin number of 1 may be calculated based on the following formula:
average sorting duration= [ z+ (S1/v+tn) ]/n
Wherein Z is the time required for processing full bags and replacing empty bags when the bags corresponding to the sorting grid openings are full; s1 is the distance from the scanning station to the first row of sorting grids a1 and b 1; v is the running speed of the belt of the intersection sorter; n is the number of the full bags required for packing bags and filling bags corresponding to the sorting grid openings; tn is the time required for n articles to pass through the scanning station successively, and can be calculated by the bag supply efficiency of the bag supply platform. It can be understood that the number of the full bags of the articles corresponding to the articles with different specifications or sizes is slightly different, so that the number of the full bags of the articles corresponding to different sorting devices, namely the value of n, can be adjusted based on the specifications or the sizes of the articles in the actual implementation process. On the basis, the average sorting duration of the single article when only one sorting grid a1 is allocated to the distribution node S can be obtained, and then the estimated sorting duration corresponding to the current sorting grid with the number of 1 is calculated.
On the basis, if the estimated sorting time length corresponding to the current sorting grid number is 1 is longer than the wave time length, a sorting grid b1 is reassigned to the distribution node S, namely the current sorting grid number is updated from 1 to 2, and further the average sorting time length corresponding to the current sorting grid number is calculated based on the following formula:
average sorting duration= [ z+ (S1/v+t2n) ]/2n
Wherein, T2n is the time required for 2n articles to pass through the scanning station successively, and can be calculated by the packet supply efficiency of the packet supply station. It can be understood that in the actual article sorting process, for the two sorting grids a1 and b1, the articles to be sorted of the distribution and transportation node S will fall into the corresponding bags to be packed in series, that is, the bags corresponding to the sorting grids a1 fall into the bags to be packed first and the bags corresponding to the sorting grids b1 begin to fall into the bags to be packed after the bags are fully packed, so that the time of changing the empty bags only needs to be considered once when the bags are fully packed when the average sorting time is calculated. On the basis, the average sorting duration of single articles when two sorting grids a1 and b1 are distributed for the distribution node S can be obtained, and then the estimated sorting duration corresponding to the current sorting grid number of 2 is calculated.
And by analogy, the number of the sorting grids correspondingly allocated to each allocation node can be calculated, namely, a complete and reasonable sorting plan is formed, and the following steps are shown:
site1:a1、a2、b1；
site2：b2、a3；
site3：b3；
site4:a4；
……
and step S104, sorting the articles to be sorted of the distribution node in the logistics center based on the distributed sorting grid.
In an alternative embodiment, when the distribution node distributes at least two sorting grids, and the logistics center sorts the articles to be sorted, the articles fall into the packing bags of different sorting grids in sequence in a waterfall grid mode. Specifically, referring still to fig. 2, taking the sorting grids allocated to the distribution node S as a1, a2 and b1 as an example, the sorting device may query the sorting grid corresponding to the distribution node S based on the formulated sorting plan, record the state of each sorting grid, and control the articles to be sorted to preferentially fall into the bagging bags corresponding to the sorting grid a1, and then the sorting grid a2 and the bagging bags corresponding to the sorting grid b1, so that the conveying time of the articles to be sorted on the belt of the sorting machine can be effectively reduced, and the sorting efficiency of the articles can be improved.
Based on the above embodiment, by adopting the aging information, grouping information and the like of the articles to be sorted to automatically allocate one or more sorting grids for the distribution node, namely making the most reasonable sorting plan, the dependence on limited manual experience is avoided, so that the utilization rate of the sorting grids when sorting is performed by using sorting equipment is improved, and the sorting efficiency of the articles is further improved.
Referring to fig. 3, on the basis of the above embodiment, an embodiment of the present invention provides an article sorting apparatus 300, including: an order acquisition module 301, a grouping information determination module 302, a sorting grid allocation module 303 and an article sorting module 304; wherein,,
the order acquisition module 301 is configured to acquire an order to be sorted, where the order to be sorted indicates distribution nodes and efficiency information corresponding to the articles to be sorted;
the grouping information determining module 302 is configured to determine grouping information corresponding to the to-be-sorted articles when the to-be-sorted articles are sorted in the logistics center based on the aging information, so as to count the number of to-be-sorted articles corresponding to each distribution node under the same grouping information;
the sorting grid allocation module 303 is configured to allocate one or more sorting grids to the distribution node under the grouping information according to the number of the articles to be sorted;
the article sorting module 304 is configured to sort the articles to be sorted of the distribution node at the logistics center based on the allocated sorting grid.
In an optional embodiment, the allocating one or more sorting grids for the distribution node under the grouping information according to the number of the articles to be sorted includes:
determining the estimated sorting time length required by the distribution node according to the number of the articles to be sorted and the current sorting grid number corresponding to the distribution node;
and comparing the estimated sorting time length with the time length corresponding to the grouping information, so as to newly allocate one or more sorting grids to the distribution node under the condition that the estimated sorting time length is not less than the time length corresponding to the grouping information until the estimated sorting time length required by the distribution node is not greater than the time length corresponding to the grouping information.
In an optional implementation manner, the determining, according to the number of the articles to be sorted and the number of the current sorting grids corresponding to the distribution node, the estimated sorting duration required by the distribution node includes:
determining the average sorting time length required by the sorting grids to process the single articles to be sorted based on the current sorting grid number corresponding to the distribution nodes;
and calculating the product of the average sorting duration and the number of the articles to be sorted to obtain the estimated sorting duration.
In an optional embodiment, the determining, based on the number of the current sorting bins corresponding to the distribution node, an average sorting duration required for the sorting bins to process the single articles to be sorted includes:
determining the number of the full bags of the articles required when the bags corresponding to the sorting grids are filled with the articles according to the number of the current sorting grids;
determining the full-bag sorting time length required when the packing bags corresponding to the sorting grid openings are full of articles according to the parameters of the sorting equipment;
and calculating the average sorting duration according to the sorting duration of the full bags and the number of the articles of the full bags.
In an alternative embodiment, the sorting bin allocation module 303 is further configured to,
before one or more sorting grids are distributed to the distribution nodes under the grouping information according to the quantity of the articles to be sorted, sorting the distribution nodes according to the sequence from high to low of the quantity of the articles to be sorted, and distributing one or more sorting grids for the sorted distribution nodes in sequence.
In an optional implementation manner, the article sorting module 304 is configured to, when the distribution node distributes at least two sorting grids, sort the articles to be sorted in the logistics center, and sequentially drop the articles into the bags of different sorting grids in a waterfall grid manner.
Fig. 4 illustrates an exemplary system architecture 400 to which an article sorting method or article sorting apparatus of embodiments of the present invention may be applied.
As shown in fig. 4, the system architecture 400 may include terminal devices 401, 402, 403, a network 404, and a server 405. The network 404 is used as a medium to provide communication links between the terminal devices 401, 402, 403 and the server 405. The network 404 may include various connection types, such as wired, wireless communication links, or fiber optic cables, among others.
A user may interact with the server 405 via the network 404 using the terminal devices 401, 402, 403 to receive or send messages or the like. Various client applications, such as shopping applications, logistics service applications, etc., may be installed on the terminal devices 401, 402, 403.
The terminal devices 401, 402, 403 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smartphones, tablets, laptop and desktop computers, and the like.
The server 405 may be a server providing various services, such as a background management server providing support for the next data initiated by the user using the terminal devices 401, 402, 403. The background management server can analyze and process the received data such as the order placing request and the like, and feed back the processing result order logistics state to the terminal equipment.
It should be noted that the method for sorting articles according to the embodiment of the present invention is generally performed by the server 405, and accordingly, the article sorting device is generally disposed in the server 405.
It should be understood that the number of terminal devices, networks and servers in fig. 4 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
Referring now to FIG. 5, there is illustrated a schematic diagram of a computer system 500 suitable for use in implementing an embodiment of the present invention. The terminal device shown in fig. 5 is only an example, and should not impose any limitation on the functions and the scope of use of the embodiment of the present invention.
As shown in fig. 5, the computer system 500 includes a Central Processing Unit (CPU) 501, which can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 502 or a program loaded from a storage section 508 into a Random Access Memory (RAM) 503. In the RAM 503, various programs and data required for the operation of the system 500 are also stored. The CPU 501, ROM 502, and RAM 503 are connected to each other through a bus 504. An input/output (I/O) interface 505 is also connected to bus 504.
The following components are connected to the I/O interface 505: an input section 506 including a keyboard, a mouse, and the like; an output portion 507 including a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker, and the like; a storage portion 508 including a hard disk and the like; and a communication section 509 including a network interface card such as a LAN card, a modem, or the like. The communication section 509 performs communication processing via a network such as the internet. The drive 510 is also connected to the I/O interface 505 as needed. A removable medium 511 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 510 as needed so that a computer program read therefrom is mounted into the storage section 508 as needed.
In particular, according to embodiments of the present disclosure, the processes described above with reference to 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 shown in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network via the communication portion 509, and/or installed from the removable media 511. The above-described functions defined in the system of the present invention are performed when the computer program is executed by a Central Processing Unit (CPU) 501.
The computer readable medium shown in the present invention may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any 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 context of this document, 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, the computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, with the computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. 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 flowcharts 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 involved in the embodiments of the present invention may be implemented in software or in hardware. The described modules may also be provided in a processor, for example, as: a processor includes an order acquisition module, a grouping information determination module, a sort bin allocation module, and an item sort module. The names of these modules do not in any way limit the module itself, for example, an article sorting module may also be described as a "module for sorting the articles to be sorted in the logistics center based on the assigned sorting grid".
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 present alone without being fitted into the device. The computer readable medium carries one or more programs which, when executed by a device, cause the device to include: acquiring an order to be sorted, wherein the order to be sorted indicates distribution nodes and time efficiency information corresponding to the articles to be sorted; based on the aging information, determining grouping information corresponding to the articles to be sorted when being sorted in a logistics center, so as to count the number of the articles to be sorted corresponding to each distribution node under the same grouping information; distributing one or more sorting grids to the distribution nodes under the grouping information according to the quantity of the articles to be sorted; and sorting the articles to be sorted of the distribution node in the logistics center based on the distributed sorting grid.
According to the technical scheme provided by the embodiment of the invention, one or more sorting grids are automatically allocated to the distribution node based on the ageing information, grouping information and the like of the articles to be sorted, namely, the most reasonable sorting plan is formulated, the dependence on limited manual experience is avoided, the utilization rate of the sorting grids when sorting is performed by using sorting equipment is improved, and the sorting efficiency of the articles is further improved.
The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives can occur depending upon design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.
Claims (8)
1. A method of sorting articles, comprising:
acquiring an order to be sorted, wherein the order to be sorted indicates distribution nodes and time efficiency information corresponding to the articles to be sorted;
based on the aging information, determining grouping information corresponding to the articles to be sorted when being sorted in a logistics center, so as to count the number of the articles to be sorted corresponding to each distribution node under the same grouping information;
distributing one or more sorting grids to the distribution nodes under the grouping information according to the quantity of the articles to be sorted; the method specifically comprises the following steps: determining the estimated sorting time length required by the distribution node according to the number of the articles to be sorted and the current sorting grid number corresponding to the distribution node; comparing the estimated sorting time length with the time length corresponding to the grouping information, so as to newly allocate one or more sorting grids to the distribution node under the condition that the estimated sorting time length is not less than the time length corresponding to the grouping information until the estimated sorting time length required by the distribution node is not greater than the time length corresponding to the grouping information;
and sorting the articles to be sorted of the distribution node in the logistics center based on the distributed sorting grid.
2. The method for sorting objects according to claim 1, wherein the determining the estimated sorting duration required by the distribution node according to the number of objects to be sorted and the current sorting bin number corresponding to the distribution node includes:
determining the average sorting time length required by the sorting grids to process the single articles to be sorted based on the current sorting grid number corresponding to the distribution nodes;
and calculating the product of the average sorting duration and the number of the articles to be sorted to obtain the estimated sorting duration.
3. The method of sorting articles according to claim 2, wherein determining an average sorting duration required for sorting the bins to handle individual articles to be sorted based on the number of current sorting bins corresponding to the distribution nodes comprises:
determining the number of the full bags of the articles required when the bags corresponding to the sorting grids are filled with the articles according to the number of the current sorting grids;
determining the full-bag sorting time length required when the packing bags corresponding to the sorting grid openings are full of articles according to the parameters of the sorting equipment;
and calculating the average sorting duration according to the sorting duration of the full bags and the number of the articles of the full bags.
4. The method of sorting articles of claim 1, further comprising:
before one or more sorting grids are distributed to the distribution nodes under the grouping information according to the quantity of the articles to be sorted, sorting the distribution nodes according to the sequence from high to low of the quantity of the articles to be sorted, and distributing one or more sorting grids for the sorted distribution nodes in sequence.
5. The method of sorting objects according to claim 1, wherein,
under the condition that at least two sorting grids are distributed on the distribution and transportation node, when the logistics center sorts the articles to be sorted, articles are dropped into the packing bags of different sorting grids in sequence in a waterfall grid mode.
6. An article sorting apparatus, comprising: the system comprises an order acquisition module, a grouping information determination module, a sorting grid allocation module and an article sorting module; wherein,,
the order acquisition module is used for acquiring an order to be sorted, and the order to be sorted indicates distribution nodes corresponding to the articles to be sorted and time efficiency information;
the grouping information determining module is used for determining grouping information corresponding to the articles to be sorted when the articles to be sorted are sorted in the logistics center based on the aging information so as to count the number of the articles to be sorted corresponding to each distribution node under the same grouping information;
the sorting grid allocation module is used for allocating one or more sorting grids to the distribution nodes under the grouping information according to the quantity of the articles to be sorted; the method is particularly used for: determining the estimated sorting time length required by the distribution node according to the number of the articles to be sorted and the current sorting grid number corresponding to the distribution node; comparing the estimated sorting time length with the time length corresponding to the grouping information, so as to newly allocate one or more sorting grids to the distribution node under the condition that the estimated sorting time length is not less than the time length corresponding to the grouping information until the estimated sorting time length required by the distribution node is not greater than the time length corresponding to the grouping information;
and the article sorting module is used for sorting the articles to be sorted of the distribution and transportation node in the logistics center based on the distributed sorting grid.
7. An electronic device for sorting articles, comprising:
one or more processors;
storage means for storing one or more programs,
when executed by the one or more processors, causes the one or more processors to implement the method of any of claims 1-5.
8. A computer readable medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, implements the method according to any of claims 1-5.
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