CN116586312B

CN116586312B - Goods sorting method, device, electronic equipment and readable storage medium

Info

Publication number: CN116586312B
Application number: CN202310548051.7A
Authority: CN
Inventors: 李佳峻; 张语诚; 曾心妍; 颜红梅; 羌磊; 朱金全
Original assignee: Wuhu Ande Zhilian Technology Co ltd; Ningbo Ande Zhilian Technology Co ltd
Current assignee: Wuhu Ande Zhilian Technology Co ltd; Ningbo Ande Zhilian Technology Co ltd
Priority date: 2023-05-12
Filing date: 2023-05-12
Publication date: 2023-11-24
Anticipated expiration: 2043-05-12
Also published as: CN116586312A

Abstract

The application discloses a cargo sorting method, a cargo sorting device, an electronic device and a readable storage medium, comprising the following steps: acquiring transportation task information and transportation load information under a general sorting task, wherein the transportation task information comprises cargo basic information of cargoes to be sorted and vehicle information of a target vehicle for transporting the cargoes to be sorted, and the transportation load information is used for representing cargo load relation between the target vehicle and the cargoes to be sorted; determining at least one sub-sorting task allocated to a target vehicle according to the transportation loading information and the cargo basic information, wherein the sub-sorting tasks together form a total sorting task, and the sub-sorting tasks all carry task storage information; generating a cargo sorting path for each sub-sorting task according to the cargo basic information, the task storage information and the vehicle information of the target vehicle; and sorting cargoes to be sorted under the corresponding sub-sorting tasks according to the cargo sorting paths. The application solves the technical problem of low sorting efficiency of goods sorting in the warehouse-out link.

Description

Goods sorting method, device, electronic equipment and readable storage medium

Technical Field

The application relates to the technical field of warehouse logistics, in particular to a cargo sorting method, a cargo sorting device, electronic equipment and a readable storage medium.

Background

The sorting (picking) of the transported goods is a core link in the process of warehouse logistics delivery, in actual warehouse business, customers usually issue goods orders in batches and at intervals, a dispatcher plans transportation demands according to the transportation demands required by the issued goods orders, such as the total quantity of vehicles required by the orders, the transportation time of the vehicles, the specific transportation paths of the vehicles and the like, and for the warehouse personnel, in order to match the transportation demands of the goods, the picking operation is performed by adopting a shift-by-shift operation, namely, the goods are picked and stored into a warehouse delivery storage area for the goods orders in the operation shift, so that the corresponding goods loading is found and transported by the loader in the warehouse delivery storage area in the follow-up loading link.

At present, a loading person actively searches for the delivery goods loaded on the self-vehicle in a warehouse delivery storage area by checking order information on a transportation management system, for example, the delivery goods are roughly searched according to the type of the goods or the delivery goods are accurately identified by scanning two-dimension codes on the goods, so that a flow of sorting the delivery goods by the warehouse person and the loading person exists in the process of receiving the goods order to the delivery of the order goods in the warehouse, namely, the goods are usually required to be sorted for the second time in a loading link, and in the process of sorting for the second time, a lot of labor cost is required to be consumed in the warehouse delivery link due to the influence of multiple factors such as the quantity of the goods, the sorting proficiency of the loading person and the like, and the sorting efficiency of the goods in the current warehouse delivery link is low.

Disclosure of Invention

The application mainly aims to provide a cargo sorting method, a cargo sorting device, electronic equipment and a readable storage medium, and aims to solve the technical problem that in the prior art, the sorting efficiency of cargo sorting in a warehouse-out link is low.

In order to achieve the above object, the present application provides a cargo sorting method applied to a warehouse management system, the cargo sorting method comprising:

acquiring transportation task information and transportation load information under a general sorting task, wherein the transportation task information comprises cargo basic information of cargoes to be sorted and vehicle information of a target vehicle for transporting the cargoes to be sorted, and the transportation load information is used for representing cargo load relation between the target vehicle and the cargoes to be sorted;

determining at least one sub-sorting task allocated for the target vehicle according to the transportation loading information and the cargo basic information, wherein the sub-sorting tasks jointly form the overall sorting task, and the sub-sorting tasks all carry task storage information;

generating a cargo sorting path for each sub-sorting task according to the cargo basic information, the task warehousing information and the vehicle information of the target vehicle;

And sorting the cargoes to be sorted under the corresponding sub-sorting tasks according to the cargoes sorting paths.

In order to achieve the above object, the present application further provides a cargo sorting device applied to a warehouse management system, the cargo sorting device comprising:

the system comprises an acquisition module, a storage module and a storage module, wherein the acquisition module is used for acquiring transportation task information and transportation loading information under a general sorting task, the transportation task information comprises cargo basic information of cargoes to be sorted and vehicle information of a target vehicle for transporting the cargoes to be sorted, and the transportation loading information is used for representing cargo loading relations between the target vehicle and the cargoes to be sorted;

the generation module is used for generating at least one sub-sorting task which is distributed for the target vehicle according to the transportation loading information and the cargo basic information, wherein the sub-sorting tasks jointly form the total sorting task, and the sub-sorting tasks all carry task warehouse information;

the determining module is used for determining at least one sub-sorting task distributed aiming at the target vehicle according to the transportation loading information and the cargo basic information, wherein the sub-sorting tasks jointly form the total sorting task, and each sub-sorting task carries task storage information;

The generation module is used for generating a cargo sorting path for each sub-sorting task according to the cargo basic information, the task storage information and the vehicle information of the target vehicle;

and the sorting module is used for sorting cargoes to be sorted under the corresponding sub-sorting tasks according to the cargoes sorting paths.

The present application also provides a computer-readable storage medium having stored thereon a program for implementing a method of sorting goods, which when executed by a processor implements the steps of the method of sorting goods as described above.

The application also provides a computer program product comprising a computer program which, when executed by a processor, implements the steps of the method for sorting goods as described above.

The application provides a cargo sorting method, a device, electronic equipment and a readable storage medium, which are applied to a warehouse management system, namely, transportation task information and transportation loading information under a general sorting task are obtained, wherein the transportation task information comprises cargo basic information of cargoes to be sorted and vehicle information of a target vehicle for transporting the cargoes to be sorted, and the transportation loading information is used for representing cargo loading relation between the target vehicle and the cargoes to be sorted; determining at least one sub-sorting task allocated for the target vehicle according to the transportation loading information and the cargo basic information, wherein the sub-sorting tasks jointly form the overall sorting task, and the sub-sorting tasks all carry task storage information; generating a cargo sorting path for each sub-sorting task according to the cargo basic information, the task warehousing information and the vehicle information of the target vehicle; and sorting the cargoes to be sorted under the corresponding sub-sorting tasks according to the cargoes sorting paths.

When goods are sorted in a warehouse-out link, firstly, transportation task information and transportation allocation information under a general sorting task are acquired, and because the transportation task information comprises goods basic information of the goods to be sorted and vehicle information of a target vehicle for transporting the goods to be sorted, the transportation allocation information is used for representing goods allocation relation between the target vehicle and the goods to be sorted, so that the aim of integrating the transportation allocation information and the goods basic information between the goods and the vehicles in the transportation process by a warehouse management system can be fulfilled, sub-sorting tasks distributed to the target vehicle are determined according to the transportation allocation information and the goods basic information, corresponding goods sorting paths are generated for different sub-sorting tasks under the general sorting task according to the task storage information carried by the sub-sorting tasks, the goods basic information and the vehicle information of the target vehicle, and finally, the goods to be sorted under the corresponding sub-sorting task are sorted according to the goods sorting paths, namely, the aim of pertinently setting the sub-sorting tasks for different vehicles by integrating the transportation allocation information and the goods basic information is fulfilled, and the aim of planning the goods to be sorted under the sub-sorting tasks is fulfilled.

After the transportation task information and the transportation loading information are acquired, the cargo sorting and vehicle transportation conditions under the general sorting task can be synchronized, and then the sub-sorting tasks are distributed to the target vehicles, so that the cargoes to be sorted under the sub-sorting tasks are matched with the cargoes transported by the target vehicles, and further cargo sorting paths are generated in a targeted manner in consideration of the transportation loading and loading requirements in the cargo sorting process, and the cargoes to be sorted are sorted to the specified positions, so that the purpose of targeted division can be realized by combining the vehicle transportation conditions during cargo sorting.

Based on the method, the system and the equipment, the transportation task information and the transportation loading information under the overall sorting task are obtained, and then the overall sorting task is divided into a plurality of sub-sorting tasks according to the transportation loading information and the cargo basic information in the transportation task information by taking the target vehicle as a reference, corresponding cargo sorting paths are generated for different sub-sorting tasks, and finally cargoes to be sorted under different sub-sorting tasks are sorted according to the cargo sorting paths, so that the aim of targeted sorting of cargoes in combination with the transportation condition of the cargoes in the process of once sorting the cargoes is fulfilled, and the cargoes still need to be searched for the cargoes loaded in a self-vehicle in a warehouse unloading storage area in a loading link, namely, the secondary sorting of cargoes in the warehouse unloading link is avoided, and the technical defect that a lot of labor cost is required to be consumed in the warehouse unloading link due to the influence of multiple factors such as the cargo amount and the sorting proficiency of the loading personnel in the secondary sorting process is overcome, and the sorting efficiency of the cargoes in the warehouse unloading link is improved.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application.

In order to more clearly illustrate the embodiments of the application or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described, and it will be obvious to a person skilled in the art that other drawings can be obtained from these drawings without inventive effort.

Fig. 1 is a schematic flow chart of a cargo sorting method according to a first embodiment of the present application;

fig. 2 is a schematic structural diagram of a warehouse management system according to a cargo sorting method according to an embodiment of the present application;

fig. 3 is a flowchart illustrating a target sorting task generation of a cargo sorting method according to an embodiment of the present application;

fig. 4 is a flow chart of a cargo sorting method according to a second embodiment of the present application;

fig. 5 is a schematic flow chart of aggregation and classification of orders to be sorted in the cargo sorting method according to the second embodiment of the present application;

fig. 6 is a schematic structural view of a cargo sorting device according to a third embodiment of the present application;

Fig. 7 is a schematic structural diagram of an electronic device according to a fourth embodiment of the present application.

The achievement of the objects, functional features and advantages of the present application will be further described with reference to the accompanying drawings, in conjunction with the embodiments.

Detailed Description

In order to make the above objects, features and advantages of the present application more comprehensible, the following description of the embodiments accompanied with the accompanying drawings will be given in detail. It will be apparent that the described embodiments are only some, but not all, embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.

Example 1

Firstly, it should be understood that in a business scenario of whole-vehicle cargo delivery and transportation, two links of vehicle delivery and picking are independent of each other, the relationship information between delivery and picking of order cargo is not completely completed, namely, the picking stage only sorts the cargo subjected to shift operation to the warehouse-out storage area according to the cargo order, and the delivery stage is also only shift delivery, so that in the loading link, the carloader actively searches for the cargo to be transported in the warehouse-out storage area, namely, performs secondary sorting of the order cargo, and finds the cargo before loading, and in the secondary sorting process, for example, if the warehouse-out storage area stores a large amount of cargo waiting for loading and transportation, the workload of secondary sorting is increased, so that a large amount of labor cost is often consumed in the current warehouse-out link, and a method for improving the sorting efficiency of cargo sorting in the warehouse-out link is needed at present.

In a first embodiment of the present application, referring to fig. 1, a method for sorting cargoes is provided, which is applied to a warehouse management system, and includes:

step S10, acquiring transportation task information and transportation loading information under a general sorting task, wherein the transportation task information comprises cargo basic information of cargoes to be sorted and vehicle information of a target vehicle for transporting the cargoes to be sorted, and the transportation loading information is used for representing cargo loading relations between the target vehicle and the cargoes to be sorted;

step S20, determining at least one sub-sorting task allocated to the target vehicle according to the transportation loading information and the cargo basic information, wherein the sub-sorting tasks jointly form the overall sorting task, and the sub-sorting tasks all carry task warehouse information;

step S30, a cargo sorting path is generated for each sub-sorting task according to the cargo basic information, the task warehouse information and the vehicle information of the target vehicle;

and step S40, sorting cargoes to be sorted under the corresponding sub-sorting tasks according to the cargoes sorting paths.

In this embodiment, it should be noted that although fig. 1 shows a logic sequence, in some cases, the steps shown or described may be performed in a sequence different from that of the present embodiment, the cargo sorting method is a cargo sorting method, the cargo warehouse management system is deployed in a warehouse management device, and the warehouse management device may specifically be a computer or a personal PC, etc. for controlling and tracking the whole logistics and cost management process of the warehouse business, referring to fig. 2, fig. 2 is a schematic structural diagram showing the warehouse management system in a warehouse outlet link, where the warehouse management system includes a cargo order system, a big data platform, a warehouse management platform, a scheduling management platform, a terminal device of a cargo sorting person, and a vehicle transportation person management device, the big data platform is used for transporting task information and warehouse location information, the warehouse management platform and the big data platform are communicated with each other, data interaction can be performed in real time, the warehouse management platform can perform sub-sorting task distribution and cargo sorting path planning, the dispatching management platform can perform transportation task generation and transportation task management, the terminal equipment of cargo sorting personnel is used for indicating specific operation in the process of picking up cargoes and real-time state change of the cargoes in the process of picking up cargoes, the vehicle transportation personnel management device is used for collecting distribution results of cargo transportation tasks, and time of arrival and loading gate position information of the warehouse scheduling of the transportation tasks, wherein the terminal equipment of the cargo sorting personnel can be a mobile phone, a computer or a PDA (Personal Digital Assistant, a palm computer) and the like, the vehicle transportation personnel management device can be information software for performing man-machine interaction with the transportation personnel, such as a small program or APP (Application), application program) and the like, can issue a cargo transportation task to a transportation person through the vehicle transportation person management device and cooperate with the relationship between the transportation person and the transportation task, and can open the warehouse management platform and dispatch transportation platform information, for example, in an implementation mode, the vehicle transportation person management device collects real-time states of positions of the transportation person, time of arrival of the transportation person at a warehouse, time of stopping at a loading gate and time of leaving the warehouse by the transportation vehicle and feeds back to the warehouse management system, and then the warehouse management system can instruct the transportation person to carry out parking and loading pick-up operations according to the temporary storage position information of the picking task and loading gate information used for representing whether the loading gate of the warehouse is idle, and further can promote the whole warehouse unloading operation efficiency through synchronization of the information, wherein the loading gate is a platform position where a vehicle stops in a warehouse cargo unloading link.

Additionally, it should be noted that the total sorting task is used to characterize all the cargoes to be sorted by the cargo transportation order, and may be specifically determined by the cargo transportation task of the cargo transportation order, where the cargo transportation task is a task of distributing the cargo transportation order to the vehicle, one known cargo transportation task includes one or more cargo transportation orders, each cargo transportation order may include a delivery address, at least one cargo to be delivered, a cargo type, and a cargo size, etc., for example, assuming that the cargo transportation orders total 90, each order includes a plurality of cargoes waiting to be transported, the dispatch transportation platform is the order configuration A, B and C three vehicles, the sum of the cargoes to be transported by the three vehicles is the total sorting task, the transportation task information is related information for characterizing the distribution of the cargo transportation order to the vehicles for delivery, and may specifically include cargo base information of the cargoes to be sorted and vehicle information of the target vehicle for transporting the cargoes to be sorted, wherein the goods to be sorted are used for representing ordered goods waiting for sorting, the target vehicle is a vehicle for loading the goods to be sorted and transporting, the goods to be sorted and the target vehicle are multiple, the goods basic information is used for representing basic information of the goods related to a transportation task, and can be specifically the quantity of the goods, the size parameter of the goods, the storage quantity of the goods in a warehouse, the position of the goods in the warehouse and the like, the vehicle information is used for representing information of the vehicles related to the transportation task, can be specifically the information of a transportation person on the transportation order, the planned departure time of the vehicles, the required vehicle type and the like, the transportation allocation information is used for representing the goods allocation relation between the target vehicle and the goods to be sorted, wherein the transportation allocation is a goods set of the goods allocated by the transportation task at the same destination, the address set after the duplicate of the order address of the goods may be an address set, where the address set may include a front-to-back order of address set and address delivery, for example, in one implementation, assuming that the number of goods transportation orders under the total sorting task is 120, the target vehicles include D, E and F, where the loading relationship between the goods to be sorted and the target vehicles included in the 120 orders is: the first 30 orders to be sorted cargos are transported by the target vehicle D, the middle 30 orders to be sorted cargos are transported by the target vehicle E, the last 30 orders to be sorted cargos are transported by the target vehicle F, the cargos transported to the same address exist in the cargos transported orders transported by the target vehicle E, the transport loading information can be "x of the first address, y of the second address, and z of the last address, wherein x, y and z are the collection of the cargos to be sorted, which are distributed to the same address, after the cargos are de-duplicated, the transport loading information can be" x of the first address, y of the second address, and z of the last address ".

Additionally, it should be noted that, the sub-sorting task is used to characterize all the cargos to be sorted and delivered by the target vehicles, for example, in one implementation, assuming that the total sorting task is 100 cargos to be sorted, the target vehicles E, F, R and T are shared, wherein E, F, R and T are responsible for cooperatively executing the transportation of the cargos to be sorted contained in the 100 cargos to be sorted, and E, F, R and T are randomly distributed with 25 cargos to be delivered, then the sub-sorting task is used to randomly distribute the cargos to be sorted for the 25 cargos to be sorted contained in the 25 cargos to be sorted to be delivered by each target vehicle, the different sub-sorting tasks together form the total sorting task, and since the same cargos to be sorted are not delivered by different target vehicles, the cargos to be sorted under different sub-sorting tasks are not repeated, and the aggregate of the cargos to be sorted under different sub-sorting tasks is all the cargos to be sorted under the total sorting task, and the task storage information is used to characterize the cargo storage information of the cargos to be sorted under the sub-sorting task, wherein the cargo storage information may be specifically the required amount, the specific position of the cargos to be sorted, and the stock quantity of the cargos to be sorted, and the like.

Additionally, it should be noted that, the cargo sorting path is used to characterize the sorting container to sort the cargoes to be sorted, where the sorting container is used to characterize the container carrying the cargoes to be sorted for position conversion, specifically may be both hands of a sorting person, a sorting forklift, a sorting box, or the like, for example, in one implementation manner, specific position information of a storage location where the cargoes to be sorted and a container starting point of the sorting container and a central position of a loading area may be first queried for the cargoes to be sorted, and then a shortest sorting distance matrix is generated by combining the above positions, and sorting feasible paths of all cargoes to be sorted are calculated by a permutation and combination manner, so as to finally obtain a shortest sorting path for performing sorting of the cargoes to be sorted, where a path end point of the cargo sorting path may be a vehicle bayonet position of a target vehicle for transporting the cargoes to be sorted, or may be a specific vehicle loading area of the target vehicle for transporting the cargoes to be sorted.

As an example, steps S10 to S40 include: after receiving a transport task order issued by an order system, generating a total sorting task according to order goods contained in the transport task order, acquiring transport allocation information under the total sorting task through a warehouse management platform, and acquiring transport task information under the total sorting task through a dispatch management platform; dividing the total sorting task according to the transportation loading information and the goods basic information to obtain sub-sorting tasks distributed for at least one target vehicle, wherein one target vehicle corresponds to one sub-sorting task, one sub-sorting task comprises all goods to be sorted transported by the corresponding target vehicle in the total sorting task, and one sub-sorting task carries task storage information; for any sub-sorting task, constructing a shortest sorting distance matrix of all cargoes to be sorted transported by the corresponding target vehicle according to the basic information of cargoes, the task warehousing information and the vehicle information of the target vehicle, calculating at least one executable sorting path of the sub-sorting task according to each shortest sorting distance matrix, traversing each executable sorting path, and screening an executable sorting path with the shortest sorting distance from each executable sorting path as a cargo sorting path of the sub-sorting task, wherein the executable sorting paths are used for representing paths capable of realizing position transformation of cargoes to be sorted, and an algorithm for calculating the executable sorting paths can refer to the existing algorithm and is not repeated herein; and sorting cargoes to be sorted under the sub-sorting tasks to the path end points of the corresponding cargo sorting paths respectively.

According to the embodiment of the application, after a transport task order issued by an order system is received, transport loading information is acquired through a warehouse management platform, and transport task information is acquired through a dispatch management platform, so that a total sorting task is divided through the transport loading information and cargo basic information carried by the transport task information, and sub-sorting tasks distributed for at least one target vehicle are obtained.

Wherein the step of determining at least one sub-sort task assigned for the target vehicle based on the transportation load information and the cargo basis information comprises:

Step A10, constructing an order pool to be sorted of the total sorting task according to the transportation loading information and the goods basic information, wherein the order pool to be sorted comprises at least one order to be sorted;

step A20, according to the order goods information of each order to be sorted, carrying out aggregation classification on each order to be sorted to obtain different types of goods sorting orders;

step A30, for any cargo sorting list, generating a target sorting task according to sorting list information carried by the cargo sorting list;

and step A40, the target sorting tasks corresponding to the goods sorting orders are used as at least one sub-sorting task distributed for the target vehicles.

In this embodiment, it should be noted that, in the whole-vehicle delivery and transportation service scenario, since the warehouse performs the sorting operation according to the shift when executing the sorting operation, there is often sorting the goods transported in the next transportation shift in advance, if sorting is performed on the goods to be sorted only depending on the loading relationship between the vehicles and the goods, there may be an out-warehouse storage area where the order goods of different transportation shifts are mixed, and further, the loading personnel still need to perform secondary sorting in the loading link, for example, it is assumed that the sorting task is divided into sub-sorting tasks corresponding to a plurality of target vehicles one by dividing the total sorting task, when the sub-sorting task of a certain target vehicle involves two or more than two transportation shifts of the target vehicles, the loading personnel need to find the order goods of the current transportation shift from the mixed order goods and load the mixed order goods, thereby affecting the sorting efficiency of the goods in the storage and out-warehouse link.

Additionally, it should be noted that the to-be-sorted order pool is composed of at least one to-be-sorted order for representing an order set of to-be-sorted orders under the same transportation time, the to-be-sorted order is used for representing an order of goods waiting for sorting the goods, the order goods information is used for representing goods information of the to-be-sorted goods represented by the to-be-sorted order, and specifically may be a size parameter of the goods, a number of the goods, a stock position of a warehouse where the goods are located, and a stock quantity of the warehouse where the goods are located, wherein the size parameter of the goods may include a length of the goods, a width of the goods, and a height of the goods, the stock position of the warehouse where the goods are located may be represented based on a position coordinate of the warehouse location, and the stock quantity of the goods where the warehouse is used for representing the number of the stock quantity of the goods on the warehouse location, the cargo sorting orders are used for representing a collection of different to-be-sorted orders, wherein under the overall sorting task, the total amount of the orders of the to-be-sorted orders is larger than the amount of the orders of the to-be-sorted orders contained in the cargo sorting orders, and the to-be-sorted orders contained between the different cargo sorting orders are not repeated, for example, in one implementation, assuming that the transportation task has 100 to-be-sorted orders in total, the cargo sorting orders can be 5, wherein each cargo sorting order contains 20 to-be-sorted orders, the 5 cargo sorting orders belong to different categories, wherein the definition of the categories can be defined based on the types of cargos, the relative positions between cargo storage areas and cargos, and the like, for example, the cargo G and the cargo H are placed in the same cargo sorting order as a refrigerator.

Additionally, it should be noted that, the sorting order information is used to characterize the information of the goods to be sorted related to the sorting order, and the sorting order information is combined with related information such as the quantity of the sorted goods, the size of the goods, the capacity of the sorting container, and the distance matrix of the goods related to the sorting order, so that the sorting task of the object is used to characterize the sorting task allocated according to the sorting requirement, where the sorting requirement may specifically be a sorting task division rule that is determined by considering numerous factors such as the transportation time of the goods, the sorting distance of the goods, and the sorting capacity of the goods, that is, how many sorting tasks are required to be generated by the sorting order, after the sorting task of the object is divided, a sub-allocation task for the object vehicle can be obtained based on the relationship between the sorting task and the vehicle, for example, in one embodiment, it is assumed that the information in the object sorting task identifies that the goods to be sorted under the sorting task are transported by a certain object vehicle, and the object sorting task can be regarded as the composition factor of the sub-sorting task of the object vehicle.

As an example, steps a10 to a40 include: comparing the vehicle departure time carried by the transportation loading information with the goods sorting time carried by the goods basic information, and obtaining a to-be-sorted order pool by integrating at least one to-be-sorted order corresponding to the goods basic information when the vehicle departure time and the goods sorting time are detected to be matched; extracting order labels from order goods information of all the orders to be sorted, and carrying out aggregation classification on all the orders to be sorted according to the order labels to obtain different types of goods sorting orders; for any cargo sorting list, generating a target sorting task according to sorting list information carried by the cargo sorting list; and commonly using the target sorting tasks corresponding to the goods sorting orders as at least one sub-sorting task allocated for the target vehicles. Because the order pool to be sorted is constructed when the cargo sorting time is matched with the vehicle departure time, namely, the association relationship between the cargo sorting shift and the vehicle transportation shift is established in the process of sorting the cargoes to be sorted, and then the cargo sorting orders of the target vehicles are aggregated under the same transportation batch, and the target sorting task is obtained according to the cargo sorting order distribution sorting task, the technical defect that carloader needs to find the order cargoes of the current transportation shift from the mixed order cargoes and load the cargoes is avoided, and therefore the cargo sorting efficiency in the warehouse-out link is improved.

Wherein, according to the letter sorting list information that the letter sorting list carried, the target letter sorting task of generating includes:

step B10, generating a sorting constraint condition according to the sorting list information, the vehicle information of the target vehicle and the sorting container information;

and step B20, sorting the goods sorting list according to the sorting constraint conditions, and dividing the sorting wave number to obtain the target sorting task.

In this embodiment, it should be noted that, in the process of sorting cargoes, the limitation of factors such as the sorting amount of the sorting container and the sorting personnel is limited, and it is generally difficult to sort cargoes to be sorted in one step for the cargoes included in the cargoes sorting order, so that the cargoes sorting order can be divided, for example, assuming that the cargoes sorting order includes 30 cargoes to be sorted, 5 sorting orders can be divided, 6 cargoes to be sorted in each order, and six cargoes to be sorted selected in each order satisfy the sorting constraint condition, so that corresponding target sorting tasks are generated for the six cargoes to be sorted in each order to promote sorting order for the cargoes to be sorted.

Additionally, it should be noted that the pick constraint is used to constrain the target sort task for sorting the items to be sorted, for example, in one embodiment, the pick constraint may be: the method comprises the steps that all cargoes to be sorted contained in a cargo sorting list are required to finish sorting, the sorting amount of a target sorting task does not exceed the maximum capacity of a sorting container, and cargoes to be sorted loaded with the same vehicle are separated into the same target sorting task as much as possible, sorting container information is used for representing the sorting amount of the sorting container, the size of the sorting container can be specifically used, and vehicle information of a target vehicle can be specifically used as the transportation and departure time of the target vehicle.

As an example, steps B10 to B20 include: generating a sorting constraint condition according to the sorting order information, the transportation departure time of the target vehicle and the container size of the sorting container; and carrying out sorting wave number division on the goods sorting list under the sorting constraint condition to obtain the target sorting task. The goods sorting order is sorted by the sorting wave number under the sorting constraint condition, so that the obtained target sorting task can normally execute sorting actions, and the sorting efficiency of the storage and shipment link is improved by sorting the goods sorting order, so that the limitation of factors such as sorting quantity of sorting containers and sorting personnel in the sorting process is avoided, and the technical defect that sorting is not needed is caused.

The step of dividing the goods sorting order into sorting wave numbers according to the sorting constraint conditions to obtain the target sorting task comprises the following steps:

step C10, acquiring the total amount of sorting containers which are commonly corresponding to at least one sorting container for sorting cargoes to be sorted under the cargo sorting order, wherein each sorting container is used for filling the cargoes to be sorted contained in the cargo sorting order;

step C20, determining a to-be-replaced order under the goods sorting order according to sorting replacement parameters established by a preset sorting distance matrix, wherein the preset sorting distance matrix is established based on sorting distances between goods to be sorted and sorting containers contained in the to-be-sorted order;

step C30, carrying out container iterative replacement on the to-be-replaced order according to a wave number division evaluation function until a target sorting wave number division result is obtained, wherein the wave number division evaluation function consists of the total quantity of sorting containers, and a cargo quantity weighting distance and a value between to-be-sorted cargoes contained in the to-be-sorted order and a corresponding sorting container center, and the sorting container center is used for representing the cargo center position of a first to-be-sorted order filled in a sorting container filled with the to-be-sorted cargoes;

And step C40, generating the target sorting task according to the target sorting wave number dividing result and the sorting constraint condition.

In this embodiment, it should be noted that, because the sorting constraint condition is sorted from multiple dimension constraints, and then in the process of determining the sorting condition by adopting a conventional logic algorithm, multiple logic determination is involved, so that a great amount of calculation force is required to be consumed to generate the sorting task, so that the cargoes contained in the target sorting task can be concentrated in the similar warehouse area as much as possible.

Additionally, it should be noted that, the total sorting container amount is used to characterize the minimum container amount required for executing the cargoes included in the cargoes sorting order, and specifically may be calculated based on the total amount of the orders and the upper limit of the container capacity of the cargoes sorting order, for example, in one implementation, assuming that the total sorting container amount is L, the total amount of the orders is m, and the upper limit of the container capacity is n, the formula for calculating the total sorting container amount is: l=mn, where the preset sorting distance matrix is constructed based on the sorting distances between the to-be-sorted cargoes included in the to-be-sorted orders and the sorting containers, that is, the matrix constructed by the sorting distances from the to-be-sorted orders to the centers of the sorting containers, where the to-be-sorted orders are used to characterize the to-be-sorted orders waiting for sorting container replacement, the wave division evaluation function is used to evaluate the to-be-replaced orders for each sorting container replacement, the sorting container center is used to characterize the center position of the first to-be-sorted order filled in the sorting container filled with the to-be-sorted cargoes, in one implementation manner, the ascending sorting can be performed according to the order cases of the to-be-sorted orders in the sorting containers, and the first ordered after sorting is used as the first to-be-sorted order to obtain the sorting container center, and the target sorting wave division result is used to characterize the sorting task allocation result of the to-be-sorted cargoes included in the cargoes sorting order.

As an example, steps C10 to C40 include: acquiring the total amount of the sorted cargos of the cargo sorting order, and acquiring the upper limit of the container capacity of at least one sorting container for sorting the order to be sorted of the cargo sorting order, wherein for any sorting container, the ratio of the total amount of the sorted cargos to the upper limit of the container capacity is taken as the total amount of the sorting containers; for any sorting container, sorting the to-be-sorted orders contained in the sorting container in ascending order according to the size of the goods, sequentially searching for the nearest orders to be placed in the sorting container, if the sorting container is detected to be completely filled until the to-be-sorted orders contained in the goods sorting container are completely filled, constructing a preset sorting distance matrix according to the sorting distance between the to-be-sorted goods contained in the to-be-sorted orders and each sorting container, establishing a sorting replacement parameter according to the preset sorting distance matrix, and determining to-be-replaced orders placed in the goods sorting container according to the sorting replacement parameter, wherein the order size of the to-be-replaced orders is determined by the sorting replacement parameter, the wave division evaluation function consists of the total amount of the sorting containers, and the weighted distance sum value of the goods size between the to-be-sorted goods contained in the to-be-sorted orders and the corresponding sorting container centers, and the sorting container centers are used for representing the goods center position of the first to-be-sorted order filled in the sorting container filled with the to-be-sorted goods; and detecting whether the target sorting wave number division result meets the sorting constraint condition, if so, taking the target sorting wave number division result as the target sorting task, and if not, adjusting the target sorting wave number division result according to the sorting constraint condition to obtain the target sorting task. By setting the wave number division evaluation function, after the order to be replaced is replaced by a container for a certain number of times, the purpose of distributing the sorting task to the goods to be sorted, which are contained in the goods sorting order, can be achieved.

After the step of performing container iterative replacement on the order to be replaced according to the wave division evaluation function until a target sorting wave division result is obtained, the cargo sorting method further comprises the following steps:

step D10, detecting whether a virtual sorting container is used in the target sorting wave division result;

step D20, if yes, carrying out division adjustment on the sorting division orders in the virtual sorting container to obtain an adjusted target sorting wave number division result; taking the adjusted target sorting wave number dividing result as the target sorting wave number dividing result, and executing the steps: generating the target sorting task according to the target sorting wave number dividing result and the sorting constraint condition;

step D30, if not, executing the steps of: and generating the target sorting task according to the target sorting wave number dividing result and the sorting constraint condition.

In this embodiment, it should be noted that, in order to make the container iterative replacement of the to-be-replaced order certain occurrence of the target sorting wave division result, a virtual sorting container is set in the order replacement process, where the virtual sorting container is used to characterize a sorting container for implementing the order replacement fictive, and since the virtual sorting container is not present in the real service scenario, when the target sorting wave division result includes the virtual sorting container, the to-be-sorted order in the virtual sorting container needs to be taken out and inserted into a sorting container not filled with the to-be-sorted order, where if all sorting containers are filled with the to-be-sorted order, a new sorting container may be generated for inserting the to-be-sorted order in the virtual sorting container, and if there are a plurality of sorting containers not filled with the to-be-sorted order, the to-be-sorted order in the virtual sorting container searches for the closest sorting container to the to-be-sorted order.

As an example, steps D10 to D30 include: detecting whether a virtual sorting container is used in the target sorting wave number division result, wherein the detection mode can be a mode of detecting based on the differential container identifications of the actual sorting container and the virtual sorting container; if the virtual sorting container is used in the target sorting wave number result, sorting and dividing orders in the virtual sorting container into sorting containers which are not fully filled and are closest to each other, and obtaining an adjusted target sorting wave number dividing result; taking the adjusted target sorting wave number dividing result as the target sorting wave number dividing result, and executing the steps: generating the target sorting task according to the target sorting wave number dividing result and the sorting constraint condition; if the virtual sorting container is not used in the target wave division result, executing the steps: and generating the target sorting task according to the target sorting wave number dividing result and the sorting constraint condition. When the virtual sorting containers are used in the target sorting wave number dividing result, the to-be-sorted orders filled in the virtual sorting containers are extracted and filled in the fillable actual sorting containers, namely, the number of the containers of the sorting containers is increased to enable the target sorting wave number dividing result to accord with the actual service sorting scene, so that the generation effectiveness of the target sorting task is improved.

In one embodiment, referring to fig. 3, fig. 3 is a flowchart of generating a target sorting task, where sorting order information of a cargo sorting order, order information of orders to be sorted included in the cargo sorting order, and distance matrix information between cargoes to be sorted included in different orders to be sorted are obtained, and the distance matrix information is used for counting total amount of orders to be sorted included in the cargo sorting order, container capacity of sorting containers for sorting cargoes to be sorted under the cargo sorting order, and calculating a wave division evaluation function.

The embodiment of the application provides a cargo sorting method which is applied to a warehouse management system, namely, transportation task information and transportation loading information under a general sorting task are obtained, wherein the transportation task information comprises cargo basic information of cargoes to be sorted and vehicle information of target vehicles for transporting the cargoes to be sorted, and the transportation loading information is used for representing cargo loading relations between the target vehicles and the cargoes to be sorted; determining at least one sub-sorting task allocated for the target vehicle according to the transportation loading information and the cargo basic information, wherein the sub-sorting tasks jointly form the overall sorting task, and the sub-sorting tasks all carry task storage information; generating a cargo sorting path for each sub-sorting task according to the cargo basic information, the task warehousing information and the vehicle information of the target vehicle; and sorting the cargoes to be sorted under the corresponding sub-sorting tasks according to the cargoes sorting paths.

When the goods are sorted in the warehouse-out link, firstly, the transportation task information and the transportation allocation information under the total sorting task are acquired, and the transportation allocation information comprises the goods basic information of the goods to be sorted and the vehicle information of the target vehicles for transporting the goods to be sorted, wherein the transportation allocation information is used for representing the goods allocation relation between the target vehicles and the goods to be sorted, so that the purpose of integrating the transportation allocation information and the goods basic information between the goods and the vehicles in the transportation process by the warehouse management system can be achieved, the sub-sorting task distributed on the target vehicles is determined according to the transportation allocation information and the goods basic information, corresponding goods sorting paths are generated for different sub-sorting tasks under the total sorting task according to the task warehouse information carried by the sub-sorting task, the goods basic information and the vehicle information of the target vehicles, and finally, the goods to be sorted under the corresponding sub-sorting task are sorted according to the goods sorting paths, namely, the purpose of setting the sub-sorting tasks for different vehicles in a targeted manner by integrating the transportation allocation information and the goods basic information is achieved, and the purpose of planning the goods to be sorted under the sub-sorting tasks is achieved.

Example two

Further, referring to fig. 4, in another embodiment of the present application, the same or similar contents as those of the first embodiment may be referred to the description above, and will not be repeated. On the basis, the step of carrying out aggregation classification on each order to be sorted according to the order goods information of each order to be sorted to obtain goods sorting orders of different categories comprises the following steps:

step E10, for any order to be sorted, aggregating the order to be sorted according to the goods labels carried by the goods information of the order to obtain a goods aggregation unit group;

e20, selecting a target cargo aggregation unit from the cargo aggregation unit group;

step E30, combining the to-be-combined aggregation units in the cargo aggregation unit group with the target cargo aggregation units to obtain combined cargo aggregation units, wherein the cargo distance between the to-be-combined aggregation units and the target cargo aggregation units is smaller than a preset warehouse coverage area;

step E40, detecting whether the total cargo amount of the combined cargo aggregation unit is smaller than a preset cargo amount threshold value;

step E50, if yes, generating different types of cargo sorting orders according to the cargo basic information contained in the combined cargo aggregation units;

And E60, if not, taking the combined cargo aggregation unit as the target cargo aggregation unit, and returning to execute the step of combining the unit to be combined in the cargo aggregation unit group with the target cargo aggregation unit to obtain the combined cargo aggregation unit and the subsequent steps.

In this embodiment, it should be noted that, when the sorting orders are aggregated, different cargoes to be sorted are generally distributed at different positions in the warehouse, and the warehouse storing the cargoes to be sorted is larger, if the sorting is performed only according to the type, the warehouse area and the correlation, and the sorting of the cargoes still needs to be performed at huge labor cost after the sorting, for example, if the refrigerator and the color television, which are all household appliances, are aggregated together, the sorting personnel may still need to sort the refrigerator and the color television in the sorting task in a certain cargo sorting order, so the pertinence of the current aggregation sorting is not strong.

In addition, it should be noted that, the cargo label is used to identify different cargoes to be sorted, specifically, may be a loading label, a SKU (stock keep unit), and the like, where the loading label is used to identify that the cargoes to be sorted belong to the same loading, the cargo aggregation unit group is used to characterize a set of the smallest cargo aggregation units, where the smallest aggregation unit is composed of a SKU type+cargo loading, the target cargo aggregation unit is used to characterize an initial cargo aggregation unit that performs aggregation unit merging, for example, in an implementation manner, after the cargo aggregation unit group is obtained, an ascending order is performed according to a cargo volume size (a cargo volume number), and a first smallest aggregation unit is used as a merging start point, that is, a first aggregation unit is used as the target aggregation unit, and specifically, may be a cargo aggregation unit closest to a target cargo aggregation unit, where a cargo distance between the to be merged and the target cargo aggregation unit is smaller than a preset storage area coverage, and a preset cargo volume threshold is set by a user according to a requirement, where, the cargo volume threshold is calculated according to a minimum distance between two coordinate systems of a schematic diagram of a to be sorted by referring to a mapping of a schematic diagram, and a schematic diagram of a sorting coordinate diagram of a sorting system of a bin 5, and a sorting process of a bin is formed between two-dimensional information of a bin to be sorted by referring to a mapping of a bin to a to be sorted.

As an example, steps E10 to E60 include: for any order to be sorted, aggregating the order to be sorted by taking a goods label carried by the order goods information as an aggregation standard to obtain a goods aggregation unit group, wherein the goods aggregation unit group comprises at least one minimum aggregation unit; sorting all the minimum aggregation units in ascending order according to the cargo quantity of the minimum aggregation units, and selecting a first minimum aggregation unit as a target cargo aggregation unit; searching the minimum aggregation unit closest to the target aggregation unit in the cargo aggregation unit group, and merging the minimum aggregation unit closest to the target aggregation unit with the target cargo aggregation unit to obtain a merged cargo aggregation unit; detecting whether the total cargo amount of the combined cargo aggregation units is smaller than a preset cargo amount threshold value; if the total amount of the cargoes of the combined cargo aggregation unit is detected to be smaller than the preset cargo amount threshold value, different types of cargo sorting sheets are generated according to cargo basic information contained in the combined cargo aggregation unit; and if the total quantity of the cargoes of the combined cargo aggregation units is not smaller than the preset cargo quantity threshold value, taking the combined cargo aggregation units as the target cargo aggregation units, and returning to execute the step of combining the units to be combined in the cargo aggregation unit group with the target cargo aggregation units to obtain the combined cargo aggregation units and the subsequent steps.

After the step of generating the cargo sorting orders of different categories according to the cargo basic information contained in the combined cargo aggregation unit, the cargo sorting method further comprises the following steps:

f10, obtaining at least one residual cargo aggregation unit of the cargo aggregation unit group;

f20, sorting the residual cargo aggregation units to obtain the target cargo aggregation units;

and F30, executing the step of combining the to-be-combined aggregation units in the cargo aggregation unit group with the target cargo aggregation units to obtain combined cargo aggregation units and the subsequent step until the completion of the combination of the residual cargo aggregation units is detected.

In this embodiment, it should be noted that, after the cargo sorting order is generated, since the smallest aggregation units (remaining cargo aggregation units) remaining in the cargo aggregation unit group are arranged in a disordered manner, if the merging is directly performed, the cargo amount of the merged cargo aggregation units cannot be ensured to be balanced, so that sorting tasks of different sorting personnel are not uniform, and cargo sorting balance in a cargo delivery link is caused.

As an example, steps F10 to F30 include: acquiring at least one remaining cargo aggregation unit of the cargo aggregation unit group; ascending order is carried out on each residual cargo aggregation unit, and the target cargo aggregation units are obtained; and executing the step of merging the to-be-merged aggregation units in the cargo aggregation unit group with the target cargo aggregation units to obtain merged cargo aggregation units and the subsequent step until all the rest cargo aggregation units are detected to be merged.

The embodiment of the application provides a goods aggregation and classification method, namely, for any order to be sorted, according to goods labels carried by goods information of the order, aggregating the order to be sorted to obtain a goods aggregation unit group; selecting a target cargo aggregation unit from the cargo aggregation unit group; combining the to-be-combined aggregation units in the cargo aggregation unit group with the target cargo aggregation units to obtain combined cargo aggregation units, wherein the cargo distance between the to-be-combined aggregation units and the target cargo aggregation units is smaller than the coverage range of a preset warehouse area; detecting whether the total cargo amount of the combined cargo aggregation units is smaller than a preset cargo amount threshold value; if yes, generating different types of cargo sorting sheets according to the cargo basic information contained in the combined cargo aggregation unit; and if not, taking the combined cargo aggregation unit as the target cargo aggregation unit, and returning to execute the step of combining the unit to be combined in the cargo aggregation unit group with the target cargo aggregation unit to obtain the combined cargo aggregation unit and the subsequent steps. According to the embodiment of the application, the first aggregation is carried out on each order to be sorted depending on the cargo label, after the smallest aggregation unit is obtained by aggregation, the piling and merging of the smallest aggregation unit are carried out according to the distance between the units, and the total quantity of the cargoes of the merged cargo aggregation unit is always ensured to be smaller than the preset cargo quantity threshold value, so that the aim of carrying out piling and centralization sorting on the order to be sorted under the total sorting task can be achieved, and the sorting of the cargoes still needs to be carried out after the sorting of the cargoes to be sorted, so that the pertinence of aggregation sorting is improved.

Example III

The embodiment of the application also provides a cargo sorting device, which is applied to a warehouse management system, and referring to fig. 6, the cargo sorting device comprises:

the system comprises an acquisition module 101, a storage module and a control module, wherein the acquisition module is used for acquiring transportation task information and transportation load information under a general sorting task, the transportation task information comprises cargo basic information of cargoes to be sorted and vehicle information of a target vehicle for transporting the cargoes to be sorted, and the transportation load information is used for representing cargo load relation between the target vehicle and the cargoes to be sorted;

the determining module 102 is configured to determine at least one sub-sorting task allocated to the target vehicle according to the transportation loading information and the cargo basic information, where each sub-sorting task together forms the overall sorting task, and each sub-sorting task carries task warehouse information;

a generating module 103, configured to generate a cargo sorting path for each sub-sorting task according to the cargo basic information, the task warehouse information, and the vehicle information of the target vehicle;

and the sorting module 104 is used for sorting cargoes to be sorted under the corresponding sub-sorting tasks according to each cargo sorting path.

Optionally, the determining module 102 is further configured to:

constructing a to-be-sorted order pool of the total sorting task according to the transportation loading information and the goods basic information, wherein the to-be-sorted order pool comprises at least one to-be-sorted order;

according to the order goods information of each order to be sorted, carrying out aggregation classification on each order to be sorted to obtain different types of goods sorting orders;

for any cargo sorting list, generating a target sorting task according to sorting list information carried by the cargo sorting list;

and commonly using the target sorting tasks corresponding to the goods sorting orders as at least one sub-sorting task allocated for the target vehicles.

Optionally, the determining module 102 is further configured to:

generating a sorting constraint condition according to the sorting list information, the vehicle information of the target vehicle and the sorting container information;

and carrying out sorting wave number division on the goods sorting list according to the sorting constraint conditions to obtain the target sorting task.

Optionally, the determining module 102 is further configured to:

acquiring the total amount of sorting containers which are corresponding to at least one sorting container for sorting cargoes to be sorted under the cargo sorting order, wherein each sorting container is used for filling cargoes to be sorted contained in the cargo sorting order;

Determining an order to be replaced under the goods sorting order according to sorting replacement parameters established by a preset sorting distance matrix, wherein the preset sorting distance matrix is established based on sorting distances between goods to be sorted and sorting containers contained in the order to be sorted;

performing container iterative replacement on the to-be-replaced order according to a wave number division evaluation function until a target sorting wave number division result is obtained, wherein the wave number division evaluation function consists of the total quantity of sorting containers, and a cargo quantity weighting distance and a value between to-be-sorted cargoes contained in the to-be-sorted order and a corresponding sorting container center, and the sorting container center is used for representing the cargo center position of a first to-be-sorted order filled in a sorting container filled with the to-be-sorted cargoes;

and generating the target sorting task according to the target sorting wave number dividing result and the sorting constraint condition.

Optionally, the cargo sorting device is further configured to:

detecting whether a virtual sorting container is used in the target sorting wave division result;

if yes, carrying out division adjustment on the sorting division orders in the virtual sorting container to obtain an adjusted target sorting wave number division result; taking the adjusted target sorting wave number dividing result as the target sorting wave number dividing result, and executing the steps: generating the target sorting task according to the target sorting wave number dividing result and the sorting constraint condition;

If not, executing the steps of: and generating the target sorting task according to the target sorting wave number dividing result and the sorting constraint condition.

Optionally, the determining module 102 is further configured to:

for any order to be sorted, according to the goods labels carried by the order goods information, aggregating the order to be sorted to obtain a goods aggregation unit group;

selecting a target cargo aggregation unit from the cargo aggregation unit group;

combining the to-be-combined aggregation units in the cargo aggregation unit group with the target cargo aggregation units to obtain combined cargo aggregation units, wherein the cargo distance between the to-be-combined aggregation units and the target cargo aggregation units is smaller than the coverage range of a preset warehouse area;

detecting whether the total cargo amount of the combined cargo aggregation units is smaller than a preset cargo amount threshold value;

if yes, generating different types of cargo sorting sheets according to the cargo basic information contained in the combined cargo aggregation unit;

and if not, taking the combined cargo aggregation unit as the target cargo aggregation unit, and returning to execute the step of combining the unit to be combined in the cargo aggregation unit group with the target cargo aggregation unit to obtain the combined cargo aggregation unit and the subsequent steps.

Optionally, the cargo sorting device is further configured to:

acquiring at least one remaining cargo aggregation unit of the cargo aggregation unit group;

sequencing the residual cargo aggregation units to obtain the target cargo aggregation units;

and executing the step of merging the to-be-merged aggregation units in the cargo aggregation unit group with the target cargo aggregation units to obtain merged cargo aggregation units and the subsequent step until all the rest cargo aggregation units are detected to be merged.

The cargo sorting device provided by the invention solves the technical problem of low sorting efficiency of cargo sorting in a warehouse-out link by adopting the cargo sorting method in the embodiment. Compared with the prior art, the beneficial effects of the cargo sorting device provided by the embodiment of the invention are the same as those of the cargo sorting method provided by the embodiment, and other technical features of the cargo sorting device are the same as those disclosed by the method of the embodiment, so that the description is omitted.

Example IV

The embodiment of the invention provides electronic equipment, which comprises: at least one processor; and a memory communicatively coupled to the at least one processor; the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of sorting goods according to the first embodiment.

Referring now to fig. 7, a schematic diagram of an electronic device suitable for use in implementing embodiments of the present disclosure is shown. The electronic devices in the embodiments of the present disclosure may include, but are not limited to, mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and the like, and stationary terminals such as digital TVs, desktop computers, and the like. The electronic device shown in fig. 7 is merely an example and should not be construed to limit the functionality and scope of use of the disclosed embodiments.

As shown in fig. 7, the electronic device may include a processing apparatus 1001 (e.g., a central processing unit, a graphics processor, etc.), which may perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 1002 or a program loaded from a storage apparatus 1003 into a Random Access Memory (RAM) 1004. In the RAM1004, various programs and data required for the operation of the electronic device are also stored. The processing device 1001, the ROM1002, and the RAM1004 are connected to each other by a bus 1005. An input/output (I/O) interface 1006 is also connected to the bus.

In general, the following systems may be connected to the I/O interface 1006: input devices 1007 including, for example, a touch screen, touchpad, keyboard, mouse, image sensor, microphone, accelerometer, gyroscope, and the like; an output device 1008 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage device 1003 including, for example, a magnetic tape, a hard disk, and the like; and communication means 1009. The communication means may allow the electronic device to communicate with other devices wirelessly or by wire to exchange data. While electronic devices having various systems are shown in the figures, it should be understood that not all of the illustrated systems are required to be implemented or provided. More or fewer systems may alternatively be implemented or provided.

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 flowcharts. In such an embodiment, the computer program may be downloaded and installed from a network via the communication device 1009, or installed from the storage device 1003, or installed from the ROM 1002. The above-described functions defined in the method of the embodiment of the present disclosure are performed when the computer program is executed by the processing device 1001.

The electronic equipment provided by the invention solves the technical problem of low sorting efficiency of goods sorting in a warehouse-out link by adopting the goods sorting method in the embodiment. Compared with the prior art, the beneficial effects of the electronic equipment provided by the embodiment of the invention are the same as those of the cargo sorting method provided by the embodiment, and other technical features of the electronic equipment are the same as those disclosed by the method of the embodiment, so that the description is omitted.

It should be understood that portions of the present disclosure may be implemented in hardware, software, firmware, or a combination thereof. In the description of the above embodiments, particular features, structures, materials, or characteristics may be combined in any suitable manner in any one or more embodiments or examples.

The foregoing is merely illustrative of the present invention, and the present invention is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Example five

The present embodiment provides a computer-readable storage medium having computer-readable program instructions stored thereon for performing the cargo sorting method of the above-described embodiments.

The computer readable storage medium according to the embodiments of the present invention may be, for example, a usb disk, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, 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 this embodiment, 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, or device. Program code embodied on a computer readable storage medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, fiber optic cables, RF (radio frequency), and the like, or any suitable combination of the foregoing.

The above-described computer-readable storage medium may be contained in an electronic device; or may exist alone without being assembled into an electronic device.

The computer-readable storage medium carries one or more programs that, when executed by an electronic device, cause the electronic device to: acquiring transportation task information and transportation load information under a general sorting task, wherein the transportation task information comprises cargo basic information of cargoes to be sorted and vehicle information of a target vehicle for transporting the cargoes to be sorted, and the transportation load information is used for representing cargo load relation between the target vehicle and the cargoes to be sorted; determining at least one sub-sorting task allocated for the target vehicle according to the transportation loading information and the cargo basic information, wherein the sub-sorting tasks jointly form the overall sorting task, and the sub-sorting tasks all carry task storage information; generating a cargo sorting path for each sub-sorting task according to the cargo basic information, the task warehousing information and the vehicle information of the target vehicle; and sorting the cargoes to be sorted under the corresponding sub-sorting tasks according to the cargoes sorting paths.

Computer program code for carrying out operations of the present disclosure may be written in one or more programming languages, including an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).

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 and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The modules described in the embodiments of the present disclosure may be implemented in software or hardware. Wherein the name of the module does not constitute a limitation of the unit itself in some cases.

The computer readable storage medium provided by the application stores the computer readable program instructions for executing the goods sorting method, and solves the technical problem of low sorting efficiency of goods sorting in a warehouse-out link. Compared with the prior art, the beneficial effects of the computer readable storage medium provided by the embodiment of the application are the same as those of the cargo sorting method provided by the above embodiment, and are not described in detail herein.

Example six

The computer program product provided by the application solves the technical problem of low sorting efficiency of goods sorting in a warehouse-out link. Compared with the prior art, the beneficial effects of the computer program product provided by the embodiment of the application are the same as those of the cargo sorting method provided by the above embodiment, and are not described herein.

The foregoing description is only of the preferred embodiments of the present application, and is not intended to limit the scope of the application, but rather is intended to cover any equivalents of the structures or equivalent processes disclosed herein, or any application, directly or indirectly, within the scope of the application.

Claims

1. A method of sorting goods, characterized by being applied to a warehouse management system, the method comprising:

Sorting cargoes to be sorted under the corresponding sub-sorting tasks according to the cargo sorting paths, wherein the step of determining at least one sub-sorting task allocated to the target vehicle according to the transportation loading information and the cargo basic information comprises the following steps:

the method comprises the steps of taking target sorting tasks corresponding to the goods sorting orders as at least one sub-sorting task distributed for the target vehicles, wherein the step of carrying out aggregation sorting on the goods to be sorted according to order goods information of the goods to be sorted to obtain different types of goods sorting orders comprises the following steps:

2. The method of claim 1, wherein generating the target sort job from sort order information carried by the sort order of the goods comprises:

3. The method of sorting cargoes according to claim 2, wherein the step of sorting the cargoes by sorting order according to the sorting constraint condition to obtain the target sorting task comprises:

4. A method of sorting cargoes as claimed in claim 3, wherein after the step of iteratively displacing the containers for the order to be displaced according to the division evaluation function until a target sorting division result is obtained, the method further comprises:

5. The method of claim 1, wherein after the step of generating different categories of the sorting order of the goods based on the basic information of the goods included in the combined goods-aggregating unit, the method further comprises:

6. A cargo sorting device, characterized by being applied to a warehouse management system, the cargo sorting device comprising:

the sorting module is used for sorting cargoes to be sorted under the corresponding sub-sorting tasks according to the cargoes sorting paths, wherein the determining module is further used for: constructing a to-be-sorted order pool of the total sorting task according to the transportation loading information and the goods basic information, wherein the to-be-sorted order pool comprises at least one to-be-sorted order; according to the order goods information of each order to be sorted, carrying out aggregation classification on each order to be sorted to obtain different types of goods sorting orders; for any cargo sorting list, generating a target sorting task according to sorting list information carried by the cargo sorting list; the target sorting tasks corresponding to the goods sorting orders are used as at least one sub-sorting task allocated for the target vehicles, wherein the determining module is further used for: for any order to be sorted, according to the goods labels carried by the order goods information, aggregating the order to be sorted to obtain a goods aggregation unit group; selecting a target cargo aggregation unit from the cargo aggregation unit group; combining the to-be-combined aggregation units in the cargo aggregation unit group with the target cargo aggregation units to obtain combined cargo aggregation units, wherein the cargo distance between the to-be-combined aggregation units and the target cargo aggregation units is smaller than the coverage range of a preset warehouse area; detecting whether the total cargo amount of the combined cargo aggregation units is smaller than a preset cargo amount threshold value; if yes, generating different types of cargo sorting sheets according to the cargo basic information contained in the combined cargo aggregation unit; and if not, taking the combined cargo aggregation unit as the target cargo aggregation unit, and returning to execute the step of combining the unit to be combined in the cargo aggregation unit group with the target cargo aggregation unit to obtain the combined cargo aggregation unit and the subsequent steps.

7. An electronic device, the electronic device comprising:

at least one processor;

a memory communicatively coupled to the at least one processor;

the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the steps of the method of sorting goods of any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored thereon a program for realizing a goods sorting method, which program is executed by a processor for realizing the steps of the goods sorting method according to any one of claims 1 to 5.