CN112561451A - Logistics distribution sorting method, device and system - Google Patents
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Abstract
The application discloses a logistics distribution sorting method, a logistics distribution sorting device and a logistics distribution sorting system, wherein the method comprises the following steps: receiving order information, and determining a sorting area and distribution positions of articles to be sorted in the sorting area according to the order information; acquiring environmental information of the sorting area; determining a sorting route according to the environmental information of the sorting area and the distribution position of the articles to be sorted; and controlling a sorting device to sort the articles to be sorted according to the sorting route so that the distribution personnel can distribute the sorted articles. According to the logistics distribution sorting method, the corresponding sorting routes are automatically generated through the environment information based on the sorting areas and the distribution positions of the articles to be sorted, then the sorting equipment is controlled to sort the goods according to the sorting routes, a large number of manual participation links are omitted in the whole sorting process, the sorting efficiency is greatly improved, and the distribution efficiency of distribution personnel is improved.
Description
Technical Field
The application relates to the technical field of logistics distribution, in particular to a logistics distribution sorting method, device and system.
Background
In order to meet the demand of large-scale merchants for rapid commodity circulation, a commodity sorting and distribution system is rapidly developing in an intelligent, rapid and efficient direction so as to better support the production process of merchants and meet the higher consumption demand of consumers.
In the existing logistics distribution sorting method, sorting of the commodities is mainly completed manually, for example, after receiving an online order, a distributor can go to a corresponding goods taking place to pick and pack the commodities according to commodity information in the order by himself or a salesman in a supermarket packs the commodities, and then the distributor distributes the commodities to a customer.
However, each online order has a requirement on delivery timeliness, in order to ensure that goods can be delivered on time, delivery personnel need to hold time in each link of sorting and delivery, the requirement on the delivery personnel is high, a large amount of labor cost is needed, and if delivery is overtime, the purchasing experience of consumers is also affected, and further the reputation of merchants is affected.
Disclosure of Invention
The embodiment of the application provides a logistics distribution sorting method, a logistics distribution sorting device and a logistics distribution sorting system, and aims to improve logistics distribution sorting efficiency.
The embodiment of the application adopts the following technical scheme:
in a first aspect, an embodiment of the present application provides a logistics distribution sorting method, where the method includes:
receiving order information, and determining a sorting area and distribution positions of articles to be sorted in the sorting area according to the order information;
acquiring environmental information of the sorting area;
determining a sorting route according to the environmental information of the sorting area and the distribution position of the articles to be sorted;
and controlling a sorting device to sort the articles to be sorted according to the sorting route so that distribution personnel can distribute the sorted articles according to the sorting route.
Further, the acquiring the environmental information of the sorting area includes:
collecting images of a sorting area;
identifying a target object in the sorting area image by using a preset image identification model;
and determining the environmental complexity of the sorting area according to the target object in the sorting area image, wherein the environmental complexity is used as the environmental information of the sorting area.
Further, the determining the sorting route according to the environment information of the sorting area and the distribution position of the articles to be sorted includes:
determining the sorting sequence of the articles to be sorted according to the environment complexity of the sorting area and the distribution positions of the articles to be sorted;
and generating the sorting route according to the sorting sequence of the articles to be sorted.
Further, the environmental complexity of the sorting region includes the environmental complexity of each sorting node, and the method further includes:
acquiring a preset coordinate network of the sorting area according to the order information, wherein the preset coordinate network is marked with coordinates of all sorting nodes;
according to the distribution positions of the articles to be sorted in the sorting area, determining the coordinates of corresponding target sorting nodes of the distribution positions in the preset coordinate network;
generating the weight of the target sorting node according to the environment complexity of the target sorting node;
the determining the sorting route according to the environmental information of the sorting area and the distribution position of the articles to be sorted comprises:
and determining the sorting route according to the coordinates of the target sorting nodes and the weights of the target sorting nodes.
Further, the method further comprises:
determining the type of the article to be sorted according to the order information;
determining whether the order information contains appointed commodity information or not according to the type of the to-be-sorted goods;
and if so, sending the specified commodity information to a specified position in the sorting area so as to enable personnel at the specified position to pre-sort the specified commodity.
In a second aspect, an embodiment of the present application further provides a logistics distribution sorting apparatus, where the apparatus includes:
the receiving unit is used for receiving order information and determining a sorting area and the distribution position of the articles to be sorted in the sorting area according to the order information;
the first acquisition unit is used for acquiring the environmental information of the sorting area;
the first determining unit is used for determining a sorting route according to the environmental information of the sorting area and the distribution position of the articles to be sorted;
and the sorting unit is used for controlling sorting equipment to sort the articles to be sorted according to the sorting route so that distribution personnel can distribute the sorted articles according to the sorting route.
Further, the first obtaining unit is specifically configured to:
collecting images of a sorting area;
identifying a target object in the sorting area image by using a preset image identification model;
and determining the environmental complexity of the sorting area according to the target object in the sorting area image, wherein the environmental complexity is used as the environmental information of the sorting area.
In a third aspect, an embodiment of the present application further provides a logistics distribution sorting system, where the system includes a logistics distribution sorting server, a merchant terminal, and a sorting device,
the logistics distribution sorting server comprises any one of the devices;
the merchant terminal is used for sending order information;
the sorting equipment is used for sorting the articles to be sorted.
In a fourth aspect, an embodiment of the present application further provides an electronic device, including:
a processor; and
a memory arranged to store computer executable instructions that, when executed, cause the processor to perform any of the methods described above.
In a fifth aspect, this application further provides a computer-readable storage medium storing one or more programs which, when executed by an electronic device including a plurality of application programs, cause the electronic device to perform any of the methods described above.
The embodiment of the application adopts at least one technical scheme which can achieve the following beneficial effects: when the logistics distribution sorting method is used for logistics distribution sorting, the order information is received firstly, and the sorting area and the distribution position of the articles to be sorted in the sorting area are determined according to the order information; acquiring environmental information of a sorting area; determining a sorting route according to the environmental information of the sorting area and the distribution position of the articles to be sorted; and controlling the sorting equipment to sort the articles to be sorted according to the sorting route, so that the distribution personnel can distribute the sorted articles. According to the logistics distribution sorting method, the corresponding sorting routes are automatically generated based on the environment information of the sorting areas and the distribution positions of the articles to be sorted, then the sorting equipment is controlled to sort the goods according to the sorting routes, a large number of manual participation links are omitted in the whole sorting process, the sorting efficiency is greatly improved, and the distribution efficiency of distribution personnel is improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
fig. 1 is a schematic flow chart of a logistics distribution sorting method according to an embodiment of the present application;
FIG. 2 is a schematic coordinate grid diagram of a sorting area according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of a logistics distribution sorting apparatus according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a logistics distribution sorting system according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of an electronic device in an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be described in detail and completely with reference to the following specific embodiments of the present application and the accompanying drawings. It should be apparent that the described embodiments are only some of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The technical solutions provided by the embodiments of the present application are described in detail below with reference to the accompanying drawings.
Under the scenes of large-scale supermarkets, drugstores, vegetable markets and the like with more people flows, how to realize the rapid sorting of articles and further improve the sorting and distribution efficiency, and the realization of instant distribution is a problem to be solved urgently in the prior art.
Based on this, the embodiment of the present application provides a logistics distribution sorting method, as shown in fig. 1, the method includes at least the following steps S110 to S140:
step S110, receiving order information, and determining a sorting area and distribution positions of the articles to be sorted in the sorting area according to the order information.
The logistics distribution sorting method can be executed by a logistics distribution sorting server which is deployed independently, and the logistics distribution sorting control system is deployed on the logistics distribution sorting server and can manage and control the logistics distribution sorting process of merchants in a certain area range.
When the logistics distribution sorting is performed, order information may be received first, where the order information may be understood as being sent by a merchant after receiving an online order of a user, and the order information may specifically include basic information of a commodity, order placing time, a distribution address, and the like, and certainly, what order information is specifically included, and those skilled in the art may flexibly set according to actual needs, and no specific limitation is made herein.
After receiving the order information, a sorting area in the order information and a distribution position of the to-be-sorted article in the sorting area need to be further determined, where the sorting area may refer to a location of a merchant where the user places an order, and may also be specific to a specific area range of a commodity where the user places an order in the merchant. The distribution position of the articles to be sorted in the sorting area refers to the specific position of each commodity ordered by the user in the sorting area, and the specific position is used as basic information of subsequent sorting.
And step S120, acquiring the environmental information of the sorting area.
Under the scenes of large business overload, chain drug stores, vegetable markets and the like with large flow of people, one main factor influencing the article sorting efficiency is the environmental information of the sorting area, for example, when the flow of people in the sorting area is large, the goods sorting efficiency can be greatly influenced if a manual goods sorting mode is adopted. Therefore, the embodiment of the application further acquires the environmental information of the sorting area as the auxiliary judgment information of the subsequent sorting.
And step S130, determining a sorting route according to the environmental information of the sorting area and the distribution position of the articles to be sorted.
After the environmental information of the sorting area and the specific distribution positions of the articles to be sorted in the sorting area are obtained, a corresponding sorting route can be generated by utilizing a path planning algorithm, and due to the fact that the influence of the environmental information on the sorting efficiency is considered, the route with large pedestrian volume or other complex environments can be avoided to a certain extent, and then the subsequent sorting efficiency is improved.
And step S140, controlling a sorting device to sort the articles to be sorted according to the sorting route so that the distribution personnel can distribute the sorted articles.
The embodiment of the present application may adopt a sorting device to sort the articles to be sorted, where the sorting device may specifically be a sorting robot in the prior art, and may of course be other sorting devices with a mechanical arm structure, which is not specifically set herein.
After obtaining above-mentioned letter sorting route, through communicating with sorting equipment, control sorting equipment removes according to above-mentioned letter sorting route to each letter sorting node in letter sorting route is to corresponding waiting to sort the article and sort, and whole letter sorting route is walked after, and all waiting to sort the article and all will sort goods and accomplish, then control sorting equipment removes to the appointed storage area of article, waits for the delivery personnel to get goods, thereby accomplishes whole logistics distribution letter sorting process.
According to the logistics distribution sorting method, the corresponding sorting routes are automatically generated based on the environment information of the sorting areas and the distribution positions of the articles to be sorted, then the sorting equipment is controlled to sort the goods according to the sorting routes, a large number of manual participation links are omitted in the whole sorting process, the sorting efficiency is greatly improved, and the distribution efficiency of distribution personnel is improved.
In an embodiment of the present application, the acquiring the environmental information of the sorting area includes: collecting images of a sorting area; identifying a target object in the sorting area image by using a preset image identification model; and determining the environmental complexity of the sorting area according to the target object in the sorting area image, wherein the environmental complexity is used as the environmental information of the sorting area.
When determining the environmental information of the sorting area, the embodiment of the application may acquire an image of the sorting area by using a camera set by a merchant in the sorting area, and then perform target identification on the acquired image by using an image identification algorithm in the prior art to obtain a target object in the image of the sorting area, where the target object may refer to a person in the sorting area, sorting equipment, and the like, and then calculate the environmental complexity of the sorting area according to the identified target object, where the environmental complexity may be understood as a congestion degree of the sorting area, such as a pedestrian volume, and the greater the pedestrian volume or the more sorting equipment in use, the higher the environmental complexity is.
In one embodiment of the present application, the determining a sorting route according to the environmental information of the sorting area and the distribution position of the items to be sorted includes: determining the sorting sequence of the articles to be sorted according to the environment complexity of the sorting area and the distribution positions of the articles to be sorted; and generating the sorting route according to the sorting sequence of the articles to be sorted.
After the environment complexity information of the sorting area is obtained, the sorting sequence of the articles to be sorted can be determined by combining the distribution positions of the articles to be sorted, wherein the principle of determining the sorting sequence is that if the environment complexity of the position where a certain article to be sorted is located is higher, the priority of the sorting sequence is lower, so that different levels can be set according to the situation of the identified target objects according to the environment complexity, and the more the number of the target objects is, the higher the level of the environment complexity is, the lower the priority of the corresponding sorting sequence is.
In one embodiment of the present application, the environmental complexity of the sorting region includes an environmental complexity of each sorting node, and the method further includes: acquiring a preset coordinate network of the sorting area according to the order information, wherein the preset coordinate network is marked with coordinates of all sorting nodes; according to the distribution positions of the articles to be sorted in the sorting area, determining the coordinates of corresponding target sorting nodes of the distribution positions in the preset coordinate network; generating the weight of the target sorting node according to the environment complexity of the target sorting node; the determining the sorting route according to the environmental information of the sorting area and the distribution position of the articles to be sorted comprises: and determining the sorting route according to the coordinates of the target sorting nodes and the weights of the target sorting nodes.
When determining the environmental complexity of the sorting area, each sorting node in the sorting area may be refined, where the sorting node may refer to a node that is divided in advance for the whole area where the merchant is located according to the distribution of the goods, and a specific form may be similar to each grid vertex in a coordinate grid, as shown in fig. 2, a coordinate grid schematic diagram of the sorting area is provided.
After the distribution positions of the articles to be sorted in the sorting area are obtained, the articles to be sorted are corresponding to a preset coordinate grid of the sorting area, so that each article to be sorted corresponds to one coordinate point in the coordinate grid, and the coordinates corresponding to the four articles to be sorted shown in fig. 2 are respectively a (x1, y1), B (x2, y2), C (x3, y3), and D (x4, y 4).
After the coordinates corresponding to the articles to be sorted are obtained, the sorting sequence is further determined comprehensively by combining the environment complexity corresponding to each coordinate node. Specifically, the environment complexity corresponding to the coordinate node where the article to be sorted is located may be determined according to the obtained environment complexity of each sorting node, and then the environment complexity corresponding to the coordinate node where the article to be sorted is located is used as the weight of the coordinate node, where the higher the environment complexity is, the larger the weight value is, and the weight needs to be taken into consideration when calculating the distance between two coordinate nodes.
For example, assuming that the weight values corresponding to the coordinate node A, B, C, D where the four articles to be sorted are located in fig. 2 are α 1, α 2, α 3, and α 4, respectively, when the distance from the point a to the point B is calculated, the abscissa and the ordinate of the point a need to be multiplied by the weight α 1, respectively, and the result is used as a new coordinate a ', the abscissa and the ordinate of the point B need to be multiplied by the weight α 2, respectively, and the result is used as a new coordinate B', and the distance from the point a to the point B is re-determined according to the new coordinate a 'and the new coordinate B'.
Based on the method, the coordinate node where each article to be sorted is located can obtain the re-determined coordinate based on the weight corresponding to each coordinate node, and the generated sorting route simultaneously considers the specific distribution position of the articles to be sorted and the environment complexity of the position where the articles are located, so that the sorting equipment can sort the articles by always using the optimal route, and the sorting efficiency is greatly improved.
In one embodiment of the present application, the method further comprises: determining the type of the article to be sorted according to the order information; determining whether the order information contains appointed commodity information or not according to the type of the to-be-sorted goods; and if so, sending the specified commodity information to a specified position in the sorting area so as to enable personnel at the specified position to pre-sort the specified commodity.
In different application scenarios, the types of sorted articles can be different, and sorting of some articles may have to be assisted manually, so that after receiving order information, the embodiment of the present application may further determine the type of the article to be sorted according to the article to be sorted included in the order information, and then determine whether the article is an article requiring manual assistance according to the type of the article to be sorted, and if so, send the article information to a designated location in a sorting area, so as to facilitate related personnel to assist in sorting the article, so that when the sorting equipment reaches the location, the article can be taken as soon as possible, and the sorting efficiency is improved.
For example, in a large business overload scene, the order information issued by the user may include articles to be weighed, and for the articles to be weighed, the existing sorting equipment cannot be implemented, so that manual intervention is required, and at this time, the article information to be weighed can be sent to a terminal where a person in charge of weighing the articles is located, then the related person sorts and packs the articles in advance according to the article information to be weighed and places the articles to an appointed position, and then the sorting equipment acquires the appointed position to extract the packed articles, so that the waiting time of the sorting equipment is saved, and the sorting efficiency is further improved.
Because in the practical application scene, the mobility of the customers in the business surpasses is relatively large, and the corresponding environment complexity also changes in real time, in an embodiment of the application, the image acquisition process of the sorting area can be a real-time acquisition process, and the environment complexity in the sorting area is calculated and updated in real time, so that the sorting route for controlling the movement of the sorting equipment is continuously updated, so that the sorting equipment can avoid the position with higher environment complexity as far as possible, and can finish the sorting of the articles in a shorter time, thereby improving the sorting efficiency, and further providing powerful support for realizing instant delivery.
The embodiment of the present application further provides a logistics distribution sorting apparatus 300, as shown in fig. 3, the apparatus 300 includes: a receiving unit 310, a first obtaining unit 320, a first determining unit 330, and a sorting unit 340, wherein:
the receiving unit 310 is configured to receive order information, and determine a sorting area and distribution positions of articles to be sorted in the sorting area according to the order information;
a first obtaining unit 320, configured to obtain environment information of the sorting area;
a first determining unit 330, configured to determine a sorting route according to the environmental information of the sorting area and the distribution position of the articles to be sorted;
and the sorting unit 340 is used for controlling the sorting equipment to sort the articles to be sorted according to the sorting route so that the distribution personnel can distribute the sorted articles according to the sorting route.
In an embodiment of the present application, the first obtaining unit 320 is specifically configured to: collecting images of a sorting area; identifying a target object in the sorting area image by using a preset image identification model; and determining the environmental complexity of the sorting area according to the target object in the sorting area image, wherein the environmental complexity is used as the environmental information of the sorting area.
In an embodiment of the present application, the first determining unit 330 is specifically configured to: determining the sorting sequence of the articles to be sorted according to the environment complexity of the sorting area and the distribution positions of the articles to be sorted; and generating the sorting route according to the sorting sequence of the articles to be sorted.
In one embodiment of the present application, the environmental complexity of the sorting area includes an environmental complexity of each sorting node, and the apparatus further includes: the second acquisition unit is used for acquiring a preset coordinate network of the sorting area according to the order information, wherein the preset coordinate network is marked with coordinates of all sorting nodes; the second determining unit is used for determining the coordinates of the target sorting nodes corresponding to the distribution positions in the preset coordinate network according to the distribution positions of the articles to be sorted in the sorting area; the generating unit is used for generating the weight of the target sorting node according to the environment complexity of the target sorting node; the first determining unit is specifically configured to: and determining the sorting route according to the coordinates of the target sorting nodes and the weights of the target sorting nodes.
In one embodiment of the present application, the apparatus further comprises: the third determining unit is used for determining the type of the article to be sorted according to the order information; the fourth determining unit is used for determining whether the order information contains the specified commodity information according to the type of the to-be-sorted goods; and the sending unit is used for sending the specified commodity information to a specified position in the sorting area if the specified commodity information is contained in the sorting area, so that personnel at the specified position can pre-sort the specified commodity.
The embodiment of the present application further provides a logistics distribution sorting system, as shown in fig. 4, the system includes a logistics distribution sorting server, a merchant terminal and a sorting device, the logistics distribution sorting server includes any one of the foregoing devices; the merchant terminal is used for sending order information; the sorting equipment is used for sorting the articles to be sorted.
It can be understood that the logistics distribution sorting apparatus described above can implement the steps of the logistics distribution sorting method executed in the foregoing embodiments, and the related explanations regarding the logistics distribution sorting method are applicable to the logistics distribution sorting apparatus, and are not described herein again.
Fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application. Referring to fig. 5, at a hardware level, the electronic device includes a processor, and optionally further includes an internal bus, a network interface, and a memory. The Memory may include a Memory, such as a Random-Access Memory (RAM), and may further include a non-volatile Memory, such as at least 1 disk Memory. Of course, the electronic device may also include hardware required for other services.
The processor, the network interface, and the memory may be connected to each other via an internal bus, which may be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, an EISA (Extended Industry Standard Architecture) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one double-headed arrow is shown in FIG. 5, but this does not indicate only one bus or one type of bus.
And the memory is used for storing programs. In particular, the program may include program code comprising computer operating instructions. The memory may include both memory and non-volatile storage and provides instructions and data to the processor.
The processor reads the corresponding computer program from the nonvolatile memory into the memory and then runs the computer program to form the logistics distribution sorting device on a logic level. The processor is used for executing the program stored in the memory and is specifically used for executing the following operations:
receiving order information, and determining a sorting area and distribution positions of articles to be sorted in the sorting area according to the order information;
acquiring environmental information of the sorting area;
determining a sorting route according to the environmental information of the sorting area and the distribution position of the articles to be sorted;
and controlling a sorting device to sort the articles to be sorted according to the sorting route so that the distribution personnel can distribute the sorted articles.
The method performed by the logistics distribution sorting apparatus according to the embodiment shown in fig. 3 of the present application can be implemented in or by a processor. The processor may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in a processor or instructions in the form of software. The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components. The various methods, steps, and logic blocks disclosed in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present application may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in a memory, and a processor reads information in the memory and completes the steps of the method in combination with hardware of the processor.
The electronic device may further execute the method executed by the logistics distribution sorting apparatus in fig. 3, and implement the functions of the logistics distribution sorting apparatus in the embodiment shown in fig. 3, which are not described herein again in this embodiment of the application.
An embodiment of the present application further provides a computer-readable storage medium storing one or more programs, where the one or more programs include instructions, which when executed by an electronic device including a plurality of application programs, enable the electronic device to perform the method performed by the logistics distribution and sorting apparatus in the embodiment shown in fig. 3, and are specifically configured to perform:
receiving order information, and determining a sorting area and distribution positions of articles to be sorted in the sorting area according to the order information;
acquiring environmental information of the sorting area;
determining a sorting route according to the environmental information of the sorting area and the distribution position of the articles to be sorted;
and controlling a sorting device to sort the articles to be sorted according to the sorting route so that the distribution personnel can distribute the sorted articles.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The above description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. A logistics distribution sorting method, characterized in that the method comprises:
receiving order information, and determining a sorting area and distribution positions of articles to be sorted in the sorting area according to the order information;
acquiring environmental information of the sorting area;
determining a sorting route according to the environmental information of the sorting area and the distribution position of the articles to be sorted;
and controlling a sorting device to sort the articles to be sorted according to the sorting route so that the distribution personnel can distribute the sorted articles.
2. The method of claim 1, wherein the obtaining environmental information for the sorting area comprises:
collecting images of a sorting area;
identifying a target object in the sorting area image by using a preset image identification model;
and determining the environmental complexity of the sorting area according to the target object in the sorting area image, wherein the environmental complexity is used as the environmental information of the sorting area.
3. The method of claim 2, wherein the determining a sorting route according to the environmental information of the sorting area and the distribution position of the items to be sorted comprises:
determining the sorting sequence of the articles to be sorted according to the environment complexity of the sorting area and the distribution positions of the articles to be sorted;
and generating the sorting route according to the sorting sequence of the articles to be sorted.
4. The method of claim 3, wherein the environmental complexity of the sorting region comprises an environmental complexity of each sorting node, the method further comprising:
acquiring a preset coordinate network of the sorting area according to the order information, wherein the preset coordinate network is marked with coordinates of all sorting nodes;
according to the distribution positions of the articles to be sorted in the sorting area, determining the coordinates of corresponding target sorting nodes of the distribution positions in the preset coordinate network;
generating the weight of the target sorting node according to the environment complexity of the target sorting node;
the determining the sorting route according to the environmental information of the sorting area and the distribution position of the articles to be sorted comprises:
and determining the sorting route according to the coordinates of the target sorting nodes and the weights of the target sorting nodes.
5. The method of claim 1, wherein the method further comprises:
determining the type of the article to be sorted according to the order information;
determining whether the order information contains appointed commodity information or not according to the type of the to-be-sorted goods;
and if so, sending the specified commodity information to a specified position in the sorting area so as to enable personnel at the specified position to pre-sort the specified commodity.
6. A logistics distribution sorting apparatus, said apparatus comprising:
the receiving unit is used for receiving order information and determining a sorting area and the distribution position of the articles to be sorted in the sorting area according to the order information;
the first acquisition unit is used for acquiring the environmental information of the sorting area;
the first determining unit is used for determining a sorting route according to the environmental information of the sorting area and the distribution position of the articles to be sorted;
and the sorting unit is used for controlling sorting equipment to sort the articles to be sorted according to the sorting route so that distribution personnel can distribute the sorted articles according to the sorting route.
7. The apparatus according to claim 6, wherein the first obtaining unit is specifically configured to:
collecting images of a sorting area;
identifying a target object in the sorting area image by using a preset image identification model;
and determining the environmental complexity of the sorting area according to the target object in the sorting area image, wherein the environmental complexity is used as the environmental information of the sorting area.
8. A logistics distribution sorting system, wherein the system comprises a logistics distribution sorting server, a merchant terminal and sorting equipment,
the logistics distribution sorting server comprises the device of any one of claims 6 to 7;
the merchant terminal is used for sending order information;
the sorting equipment is used for sorting the articles to be sorted.
9. An electronic device, comprising:
a processor; and
a memory arranged to store computer executable instructions which, when executed, cause the processor to perform the method of any of claims 1 to 5.
10. A computer readable storage medium storing one or more programs which, when executed by an electronic device comprising a plurality of application programs, cause the electronic device to perform the method of any of claims 1-5.
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