Goods sorting management method and system based on Internet of Things, terminal and storage medium

Abstract

The invention belongs to the technical field of logistics management, and particularly provides a cargo sorting management method and system based on the Internet of Things, a terminal and a storage medium, and the method comprises the steps: after receiving a cargo sorting order, judging a logic partition to which a to-be-sorted cargo in the cargo sorting order belongs according to the cargo sorting order; by intelligently judging the logic partition to which the goods belong and comprehensively considering the relative distance between the current workload of the picker and the storage position of the goods, the accurate distribution of the sorting task is realized. The dynamic and flexible allocation mechanism ensures that the tasks can be quickly and reasonably allocated to the most appropriate sorting personnel, so that the sorting efficiency is remarkably improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of logistics management, and specifically relates to a cargo sorting management method, system, terminal and storage medium based on the Internet of Things. Background Art

[0002] With the rapid development of e-commerce and logistics industry, cargo sorting is a crucial link in the logistics chain. Its efficiency and accuracy are directly related to the operating efficiency and customer satisfaction of the entire logistics system. Traditional cargo sorting methods mainly rely on manual identification and allocation, which is not only labor-intensive and error-prone, but also difficult to cope with the growing order volume and complex and changing sorting needs. Especially in large storage centers, there are many types of goods and scattered storage locations. How to quickly and accurately assign sorting tasks to suitable pickers has become a key factor restricting the improvement of sorting efficiency.

[0003] Existing sorting management methods often adopt simple polling or random allocation methods, ignoring factors such as the current workload of the pickers and the relative distance to the goods storage location, resulting in uneven distribution of sorting tasks. Some pickers are overburdened with work, while others are relatively idle, affecting the overall sorting efficiency. Summary of the invention

[0004] In view of the above-mentioned deficiencies in the prior art, the present invention provides a cargo sorting management method, system, terminal and storage medium based on the Internet of Things to solve the above-mentioned technical problems.

[0005] In a first aspect, the present invention provides a cargo sorting management method based on the Internet of Things, comprising: After receiving the goods sorting order, the logical partition to which the goods to be sorted in the goods sorting order belong is determined according to the goods sorting order; Obtain the order-accepting status priority of all pickers. The fewer the picking tasks to be completed by the picker, the higher the corresponding order-accepting status priority. The picker with the highest order-accepting status priority is listed as the candidate target executor; The one-way distances of all candidate target executors to the storage location of the goods to be sorted are obtained. The shorter the one-way distance, the higher the corresponding distance level. The candidate target executor with the highest distance level is listed as the first target executor, and the first target executor executes the goods sorting order.

[0006] A further improvement of the technical solution is that the method for calculating the amount of sorting tasks to be completed by the picker includes: Get the current task status of all pickers; If there are pickers whose task status is empty, such pickers will be listed as the first target executors; If there is no picker with a null task status, obtain the goods picking orders currently executed by each picker; Obtain the target sorting quantity in the goods sorting order and the sorting quantity completed by the pickers corresponding to the goods sorting order; Calculate the amount of sorting tasks to be completed based on the target picking volume and the completed sorting volume.

[0007] A further improvement of this technical solution is that each picker faces the priority of each task. Indicates that, i is the picker number, j is the task number, , C is the number of picking orders that are being carried out and not completed by the pickers in the current wave, The smaller the value of , the higher the priority of the picker, and the picker is listed as the candidate target executor of this task.

[0008] A further improvement of the technical solution is that the cargo information includes cargo ID, cargo name, category, batch, size and storage location information, and the storage location information is editable information, and the storage location information will be deleted when the cargo is shipped out of the warehouse.

[0009] A further improvement of the technical solution is that the method for obtaining the one-way distance of all candidate target executors to the storage location of the goods to be sorted includes: Obtain the storage location information of the goods to be sorted in the corresponding logical partition according to the goods sorting order; Obtain the current location information of each candidate target executor; The one-way distance of the candidate target executor to the storage location of the goods to be sorted is calculated based on the storage location information and the current location information.

[0010] A further improvement of the technical solution is that the one-way distance of the candidate target executor to the storage location of the goods to be sorted is calculated based on the storage location information and the current location information. The one-way distance is represented by a distance level. The calculation formula of the distance level is: ; in, is the one-way distance, is the total distance of task j+1, is the total distance required for the unfinished task j, The distance traveled to complete task j, The smaller the value of , the higher the priority of the picker, and the picker is listed as the first target executor of task j+1.

[0011] A further improvement of the present technical solution is that each picker wears an identity tag, which contains the name, work number, location information and the name of the logical partition to which it belongs; the picker's location information is obtained through the positioning sub-tag in the identity tag.

[0012] In a second aspect, the present invention provides a cargo sorting management system based on the Internet of Things, comprising: A goods sorting order analysis module is used to determine the logical partition to which the goods to be sorted in the goods sorting order belong according to the goods sorting order after receiving the goods sorting order; The candidate target executor selection module is used to obtain the order-accepting status priority of all pickers. The fewer the picking tasks to be completed by the picker, the higher the corresponding order-accepting status priority. The picker with the highest order-accepting status priority is listed as the candidate target executor; The first target executor selection module is used to obtain the one-way distance of all candidate target executors to the storage location of the goods to be sorted. The shorter the one-way distance, the higher the corresponding distance level. The candidate target executor with the highest distance level is listed as the first target executor, and the first target executor executes the goods sorting order.

[0013] In a third aspect, the present invention provides a terminal, comprising: processor, memory, wherein: The memory is used to store computer programs. The processor is used to call and run the computer program from the memory, so that the terminal executes the above-mentioned terminal method.

[0014] In a fourth aspect, the present invention provides a computer storage medium, wherein the computer-readable storage medium stores instructions, which, when executed on a computer, enable the computer to execute the methods described in the above aspects.

[0015] The beneficial effects of the present invention are: Improve sorting efficiency: By intelligently determining the logical partition to which the goods belong, and comprehensively considering the current workload of the pickers (i.e. the amount of sorting tasks to be completed) and the relative distance between the goods storage locations, accurate sorting tasks are allocated. This dynamic and flexible allocation mechanism ensures that tasks can be quickly and reasonably allocated to the most suitable pickers, thereby significantly improving sorting efficiency.

[0016] Improve sorting accuracy: This invention reduces human intervention and judgment, and avoids sorting errors caused by subjective factors. Automatic identification and task allocation through IoT technology ensures the standardization and consistency of the sorting process, effectively improves sorting accuracy, and thus improves customer satisfaction.

[0017] Optimize resource allocation: By monitoring the work status of pickers and the location of goods in real time, the present invention can dynamically adjust the task allocation strategy to ensure that the workload of pickers remains balanced, avoiding the situation where some pickers are overloaded while others are idle. This method of optimizing resource allocation not only improves work efficiency, but also reduces labor costs.

[0018] In addition, the invention has a reliable design principle, a simple structure and a very broad application prospect. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0020] Figure 1 is a schematic flow chart of a method according to an embodiment of the present invention.

[0021] Figure 2 This is a schematic diagram of the picking path in the picking area channel.

[0022] Figure 3 1 is a picking location distribution diagram corresponding to three picking tasks in the embodiment.

[0023] Figure 4 This is the total distance that picker No. 1 needs to travel to complete task 1 in situation 1.

[0024] Figure 5 This is the total distance that picker No. 2 needs to travel to complete the unfinished task 2 in situation 1.

[0025] Figure 6 This is the total distance map required for the unfinished task 3.

[0026] Figure 7 This is the total distance that picker No. 1 needs to travel if he fails to complete task 1 in situation 2.

[0027] Figure 8 This is the total distance map that picker No. 2 needs to travel for the unfinished task 2 in situation 2.

[0028] Fig. 9 is a schematic block diagram of a system according to an embodiment of the present invention.

[0029] Fig.10 A schematic diagram of the structure of a terminal provided by an embodiment of the present invention.

[0030] 210 is a goods sorting order analysis module, 220 is a candidate target executor selection module, and 230 is a first target executor selection module. DETAILED DESCRIPTION

[0031] In order to enable those skilled in the art to better understand the technical solutions in the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0032] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art of the present invention. The terms used in the specification of the present invention herein are only for the purpose of describing specific embodiments and are not intended to limit the present invention.

[0033] The cargo sorting management method based on the Internet of Things provided by the embodiment of the present invention is executed by a computer device, and accordingly, the cargo sorting management system based on the Internet of Things runs in the computer device.

[0034] Figure 1 is a schematic flow chart of a method according to an embodiment of the present invention. Figure 1 The execution subject may be a cargo sorting management system based on the Internet of Things. According to different requirements, the order of the steps in the flowchart may be changed, and some may be omitted.

[0035] like Figure 1 As shown, the method includes: Step 110, after receiving the goods sorting order, determining the logical partition to which the goods to be sorted in the goods sorting order belong according to the goods sorting order; Step 120, obtaining the order-accepting status priorities of all pickers. The fewer the picking tasks to be completed by the picker, the higher the corresponding order-accepting status priority. The picker with the highest order-accepting status priority is listed as the candidate target executor; Step 130, obtaining the one-way distances of all candidate target executors to the storage location of the goods to be sorted. The shorter the one-way distance, the higher the corresponding distance level. The candidate target executor with the highest distance level is listed as the first target executor, and the first target executor executes the goods sorting order.

[0036] To facilitate understanding of the present invention, the cargo sorting management method based on the Internet of Things provided by the present invention is further described below based on the principle of the cargo sorting management method based on the Internet of Things provided by the present invention and in combination with the process of managing cargo sorting based on the Internet of Things in the embodiment.

[0037] Specifically, the method for calculating the amount of sorting tasks to be completed by the picker includes: S121. Obtain the current task status of all pickers; S122. If there are pickers whose task status is empty, such pickers are listed as the first target executors; S123. If there is no picker whose task status is empty, obtain the goods sorting order currently executed by each picker; S124, obtaining the target sorting quantity in the goods sorting order, and the sorting quantity completed by the picker corresponding to the goods sorting order; S125. Calculate the amount of sorting tasks to be completed based on the target picking amount and the completed sorting amount.

[0038] For the convenience of management, each cargo is provided with a cargo label. When performing the sorting task, the picker uploads the cargo information in the cargo label through the barcode reader, and verifies the cargo information with the cargo information in the executed cargo sorting order. After the verification is accurate, the completed sorting quantity is accumulated by one.

[0039] Among them, the cargo information includes cargo ID, cargo name, category, batch, size and storage location information. The storage location information is editable information and will be deleted when the cargo is shipped out of the warehouse.

[0040] In addition, the method of obtaining the one-way distance of all candidate target executors to the storage location of the goods to be sorted includes: S131, obtaining storage location information of the goods to be sorted in the corresponding logical partition according to the goods sorting order; S132, obtaining the current location information of each candidate target executor; S133. Calculate the one-way distance of the candidate target executor to the storage location of the goods to be sorted according to the storage location information and the current location information.

[0041] In order to manage the pickers, each picker wears an identity tag, which contains the name, work number, location information and the name of the logical partition. The location information of the picker is obtained through the positioning subtag in the identity tag.

[0042] Specifically, each picker faces a priority for each task. Indicates that, i is the picker number, j is the task number, , C is the number of picking orders that are being carried out and not completed by the pickers in the current wave, The smaller the value of , the higher the priority of the picker, and the picker is listed as the candidate target executor of this task.

[0043] When the first picking task is issued, for example , , Then, facing Task 1, the number of picking orders being carried out and not completed by other personnel such as Picker No. 1, Picker No. 2, Picker No. 3, etc. is 0. Everyone has the highest priority facing Task 1. All pickers have the same starting point and the one-way distance to the storage place for sorted goods is the same. The one-way distance level It is also consistent. At this time, the task allocation will be issued in order from small to large according to the picker's number.

[0044] Distance level The specific determination process is as follows: The picking area is equipped with a unified picking entrance and collection area, and the picked goods are stored in the collection area. In order to ensure the smooth operation of the picking area, the picking area personnel walk in the same direction, and the picking area channel is set in an "S" shape, such as Figure 2 shown.

[0045] When task j+1 is issued, the total distance of this task It is certain. It is the total distance that the picker travels from the entrance, picks all the goods in the task, places the goods in the collection area and returns to the entrance. This data can be obtained by counting. The picker only needs to pick according to the location instructions.

[0046] is the total distance that needs to be traveled for the unfinished task j.

[0047] The distance traveled to complete task j.

[0048] Distance level calculation method: ; The smaller the value of , the higher the priority of the picker, and the picker is listed as the first target executor of task j+1.

[0049] Since there is uncertainty in the issuance of tasks, two common situations are taken.

[0050] (1) Case 1: Task 3 is assigned before Task 1 and Task 2 start.

[0051] Assume that there are only two pickers in this picking area and there are three picking tasks. When picker No. 1 and picker No. 2 are performing their own tasks, the third picking task is assigned. The picking positions corresponding to the three picking tasks are distributed as follows: Figure 3 As shown, it is necessary to compare the one-way distance level .

[0052] like Figure 4 As shown in the figure, the total distance that picker No. 1 needs to travel for the unfinished task 1 in situation 1 is: .

[0053] like Figure 5 As shown in the figure, the total distance that the second picker needs to travel for the unfinished task 2 in situation 1 is: .

[0054] like Figure 6 As shown, the total distance that needs to be covered for the unfinished task 3 is: .

[0055] In case 1, the distance level of picker No. 1 facing task 3 is: .

[0056] In case 1, the distance level of picker No. 2 facing task 3 is: .

[0057] Compare the distance levels of Picker 1 and Picker 2 in Situation 1 when facing Task 3: .

[0058] In case 1, the distance level value of picker No. 2 when facing task 3 is smaller, which means that picker No. 2 has a higher priority and task 3 will be assigned to picker No. 2 first.

[0059] (2) Case 2: Task 3 is assigned while Task 1 and Task 2 are in progress.

[0060] Continuing with the above task situation, if Task 3 is issued, Task 1 is picking the second cargo and Task 2 is picking the first cargo.

[0061] like Figure 7 As shown in Figure 2, the distance traveled by picker No. 1 to complete task 1 in situation 2 is: .

[0062] In situation 2, the distance level of picker No. 1 facing task 3 is: .

[0063] like Figure 8 As shown in the figure, the distance traveled by the second picker in situation 2 to complete task 2 is: .

[0064] In situation 2, the distance level of picker No. 2 facing task 3 is: .

[0065] Compare the distance levels of Picker 1 and Picker 2 in Case 2 when facing Task 3: .

[0066] In case 2, the distance level value of picker No. 2 when facing task 3 is smaller, which means that picker No. 2 has a higher priority and task 3 will be assigned to picker No. 2 first.

[0067] In addition, when a picker has the highest priority and there is only one picker, this picker is determined as the first target executor of this task, and the next task allocation priority of all pickers changes as follows: The selection personnel selected as the first target executor: ; Other selectors who were not selected as the first target executors: .

[0068] When the priority levels of the pickers are the same, obtain the one-way distance level of all candidate target executors to the storage location of the goods to be sorted , The smaller the value, the higher the priority of the picker, and the picker is listed as the first target executor of this task.

[0069] When the priorities of each picker are faced with each task , one-way distance level , when both priorities are the same, compare the number of picking orders completed by the pickers , preferred Small pickers assign tasks to them; if If the values ​​of are also the same, the candidates for the first target candidate will be assigned in order from largest to smallest according to the picking personnel number.

[0070] In some embodiments, the IoT-based cargo sorting management system 200 may include multiple functional modules composed of computer program segments. The computer programs of the various program segments in the IoT-based cargo sorting management system 200 may be stored in a memory of a computer device and executed by at least one processor to execute (see Figure 1 Description) Function of cargo sorting management based on the Internet of Things.

[0071] In this embodiment, the IoT-based cargo sorting management system 200 can be divided into multiple functional modules according to the functions it performs, such as Figure 2 As shown. The functional modules may include: a cargo sorting order analysis module 210, a candidate target executor selection module 220, and a first target executor selection module 230. The module referred to in the present invention refers to a series of computer program segments that can be executed by at least one processor and can complete fixed functions, which are stored in a memory. In this embodiment, the functions of each module will be described in detail in subsequent embodiments.

[0072] The cargo sorting order analysis module is used to determine the logical partition to which the goods to be sorted in the cargo sorting order belong after receiving the cargo sorting order; the candidate target executor selection module is used to obtain the order-accepting status priority of all pickers. The fewer the picking tasks to be completed by the pickers, the higher the corresponding order-accepting status priority, and the pickers with the highest order-accepting status priority are listed as candidate target executors; the first target executor selection module is used to obtain the one-way distance of all candidate target executors to the storage place of the goods to be sorted. The shorter the one-way distance, the higher the corresponding distance level, and the candidate target executor with the highest distance level is listed as the first target executor, and the cargo sorting order is executed by the first target executor.

[0073] Figure 3 The present invention provides a schematic diagram of the structure of a terminal 300 provided in an embodiment of the present invention. The terminal 300 can be used to execute the cargo sorting management method based on the Internet of Things provided in an embodiment of the present invention.

[0074] The terminal 300 may include: a processor 310, a memory 320 and a communication module 330. These components communicate via one or more buses. Those skilled in the art will appreciate that the server structure shown in the figure does not limit the present invention, and it may be a bus structure or a star structure, and may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently.

[0075] The memory 320 can be used to store the execution instructions of the processor 310, and the memory 320 can be implemented by any type of volatile or non-volatile storage terminal or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk. When the execution instructions in the memory 320 are executed by the processor 310, the terminal 300 can perform some or all of the steps in the following method embodiments.

[0076] The processor 310 is the control center of the storage terminal, and uses various interfaces and lines to connect various parts of the entire electronic terminal. It runs or executes software programs and / or modules stored in the memory 320, and calls data stored in the memory to perform various functions of the electronic terminal and / or process data. The processor can be composed of an integrated circuit (IC), for example, it can be composed of a single packaged IC, or it can be composed of multiple packaged ICs with the same or different functions. For example, the processor 310 can only include a central processing unit (CPU). In the embodiment of the present invention, the CPU can be a single computing core or multiple computing cores.

[0077] The communication module 330 is used to establish a communication channel so that the storage terminal can communicate with other terminals, receive user data sent by other terminals or send user data to other terminals.

[0078] The present invention also provides a computer storage medium, wherein the computer storage medium may store a program, and when the program is executed, the program may include some or all of the steps in each embodiment provided by the present invention. The storage medium may be a magnetic disk, an optical disk, a read-only memory (ROM) or a random access memory (RAM).

[0079] Those skilled in the art can clearly understand that the technology in the embodiments of the present invention can be implemented by means of software plus a necessary general hardware platform. Based on this understanding, the technical solution in the embodiments of the present invention, in essence or in other words, the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a disk or an optical disk, and other media that can store program codes, including several instructions for enabling a computer terminal (which can be a personal computer, a server, or a second terminal, a network terminal, etc.) to execute all or part of the steps of the methods described in each embodiment of the present invention.

[0080] In this specification, the same or similar parts between the various embodiments can be referred to each other. In particular, for the terminal embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the description in the method embodiment.

[0081] In the several embodiments provided by the present invention, it should be understood that the disclosed systems and methods can be implemented in other ways. For example, the system embodiments described above are only schematic. For example, the division of the modules is only a logical function division. There may be other division methods in actual implementation, such as multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of systems or modules, which can be electrical, mechanical or other forms.

[0082] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, that is, they may be located in one place or distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0083] In addition, each functional module in each embodiment of the present invention may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module.

[0084] Although the present invention has been described in detail with reference to the accompanying drawings and in combination with the preferred embodiments, the present invention is not limited thereto. Without departing from the spirit and essence of the present invention, a person of ordinary skill in the art may make various equivalent modifications or substitutions to the embodiments of the present invention, and these modifications or substitutions shall be within the scope of the present invention. Any person of ordinary skill in the art may easily think of changes or substitutions within the technical scope disclosed by the present invention, and these shall be within the scope of protection of the present invention.

Claims

1. A cargo sorting management method based on the Internet of Things, characterized in that: include: After receiving the goods sorting order, the logical partition to which the goods to be sorted in the goods sorting order belong is determined according to the goods sorting order; Obtain the order-accepting status priority of all pickers. The fewer the picking tasks to be completed by the picker, the higher the corresponding order-accepting status priority. The picker with the highest order-accepting status priority is listed as the candidate target executor; The one-way distances of all candidate target executors to the storage location of the goods to be sorted are obtained. The shorter the one-way distance, the higher the corresponding distance level. The candidate target executor with the highest distance level is listed as the first target executor, and the first target executor executes the goods sorting order.

2. The method for cargo sorting management based on the Internet of Things according to claim 1, characterized in that: Methods for calculating the amount of picking tasks to be completed by pickers include: Get the current task status of all pickers; If there are pickers whose task status is empty, such pickers will be listed as the first target executors; If there is no picker with a null task status, obtain the goods picking orders currently executed by each picker; Obtain the target sorting quantity in the goods sorting order and the sorting quantity completed by the pickers corresponding to the goods sorting order; Calculate the amount of sorting tasks to be completed based on the target picking volume and the completed sorting volume.

3. The method for cargo sorting management based on the Internet of Things according to claim 2 is characterized in that: Each cargo is provided with a cargo label. When performing the sorting task, the picker uploads the cargo information in the cargo label through the barcode reader, and verifies the cargo information with the cargo information in the executed cargo sorting order. After the verification is accurate, the completed sorting quantity is accumulated by one.

4. The method for cargo sorting management based on the Internet of Things according to claim 2, characterized in that: The priority of each picker facing each task Indicates that, i is the picker number, j is the task number, , C is the number of picking orders that are being carried out and not completed by the pickers in the current wave, The smaller the value of , the higher the priority of the picker, and the picker is listed as the candidate target executor of this task.

5. The method for cargo sorting management based on the Internet of Things according to claim 1, characterized in that: Methods for obtaining the one-way distances of all candidate target executors to the storage location of the goods to be sorted include: Obtain the storage location information of the goods to be sorted in the corresponding logical partition according to the goods sorting order; Obtain the current location information of each candidate target executor; The one-way distance of the candidate target executor to the storage location of the goods to be sorted is calculated based on the storage location information and the current location information.

6. The method for cargo sorting management based on the Internet of Things according to claim 5 is characterized in that: The one-way distance from the candidate target executor to the storage location of the goods to be sorted is calculated based on the storage location information and the current location information. The one-way distance is expressed by the distance level. The calculation formula of the distance level is: ； in, is the one-way distance, is the total distance of task j+1, is the total distance required for the unfinished task j, The distance traveled to complete task j, The smaller the value of , the higher the priority of the picker, and the picker is listed as the first target executor of task j+1.

7. The method for cargo sorting management based on the Internet of Things according to claim 6, characterized in that: Each picker wears an identity tag, which contains name, work number, location information and the name of the logical partition to which he belongs; the picker's location information is obtained through the positioning sub-tag in the identity tag.

8. A cargo sorting management system based on the Internet of Things, characterized in that: include: A goods sorting order analysis module is used to determine the logical partition to which the goods to be sorted in the goods sorting order belong according to the goods sorting order after receiving the goods sorting order; The candidate target executor selection module is used to obtain the order-accepting status priority of all pickers. The fewer the picking tasks to be completed by the picker, the higher the corresponding order-accepting status priority. The picker with the highest order-accepting status priority is listed as the candidate target executor; The first target executor selection module is used to obtain the one-way distance of all candidate target executors to the storage location of the goods to be sorted. The shorter the one-way distance, the higher the corresponding distance level. The candidate target executor with the highest distance level is listed as the first target executor, and the first target executor executes the goods sorting order.

9. A terminal, characterized in that: include: processor; A memory for storing execution instructions of the processor; The processor is configured to execute the method according to any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that: When the program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

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