CN118343430A

CN118343430A - Container sorting method, goods loading method and computing equipment

Info

Publication number: CN118343430A
Application number: CN202410445192.0A
Authority: CN
Inventors: 高淑娟; 付亮亮
Original assignee: Beijing Jizhijia Technology Co Ltd
Current assignee: Beijing Jizhijia Technology Co Ltd
Filing date: 2024-04-12
Publication date: 2024-07-16

Abstract

The embodiment of the specification provides a container sorting method, a goods shelving method and computing equipment, wherein the container sorting method comprises the following steps: acquiring loading information of a target container, wherein the loading information characterizes the duty ratio of the loaded goods of the target container; determining a container racking batch of the target container based on the duty ratio range to which the loading information belongs; based on the container racking lot, the dispatch target object collates the target container to a target shelf corresponding to the container racking lot. The method has the advantages that the fine management of the goods shelves and the containers is realized, the space utilization rate of the goods shelves is improved, and then the overall space utilization rate of storage scenes is improved, so that the containers with the close loading states are more concentrated on the goods shelves, the reasonable arrangement of the containers on the goods shelves is completed, and the efficiency of subsequent flow operation is improved.

Description

Container sorting method, goods loading method and computing equipment

Technical Field

The embodiment of the specification relates to the technical field of physical storage, in particular to a container sorting method, a goods loading method and computing equipment.

Background

With the development of logistics storage technology, high-efficiency storage management is realized according to storage scenes such as logistics warehouse, electronic commerce warehouse, medicine warehouse, catering warehouse and the like and operation flows such as goods loading, goods sorting and goods sorting.

Currently, the operation of loading goods into or picking goods from containers on a shelf by transporting the shelf to a work object or moving the work object to the shelf is a mainstream operation mode, however, such an operation mode depends on the goods loading condition of the containers on the shelf to a certain extent, the unreasonable arrangement of the containers on the shelf seriously affects the efficiency of the subsequent flow Cheng Zuoye (such as loading or picking goods), for example, a container loaded with one less than full goods on a certain shelf, the rest is a container loaded with full goods, the goods to be loaded are multiple, the goods to be loaded are loaded into the containers loaded on a plurality of shelves, for example, a container loaded with one type of goods to be picked is loaded on a certain shelf, the rest is an empty container loaded with most of goods, and the order to be picked is required to pick two types of goods to be picked, and then the goods to be picked from two shelves is required to be completed. Therefore, there is a need for a container sorting method to improve the efficiency of the subsequent process.

Disclosure of Invention

In view of this, the present description embodiments provide a container collation method. One or more embodiments of the present specification are also directed to a method of picking a good, a method of loading a good, a container handling device, a device for picking a good, a device for loading a good, a computing device, a computer-readable storage medium, and a computer program product, which address the technical deficiencies of the prior art.

According to a first aspect of embodiments of the present specification, there is provided a container collation method comprising:

Acquiring loading information of a target container, wherein the loading information characterizes the duty ratio of the loaded goods of the target container;

determining a container racking batch of the target container based on the duty ratio range to which the loading information belongs;

Based on the container racking lot, the dispatch target object collates the target container to a target shelf corresponding to the container racking lot.

According to a second aspect of embodiments of the present specification, there is provided a method of picking goods, comprising:

Acquiring cargo information of cargoes to be picked;

generating a goods sorting instruction based on the goods information;

And sending a goods picking instruction to the target picking object, wherein the goods picking instruction instructs the target picking object to pick goods to be picked from target containers on target shelves in a goods picking area, the target containers are sorted to the target shelves based on the container sorting method, and the duty ratio range of loading information of the target containers exceeds a preset duty ratio threshold value.

According to a third aspect of embodiments of the present disclosure, there is provided a method of loading goods, comprising:

Acquiring cargo information of cargoes to be put on a rack;

based on the goods information, generating a goods loading instruction;

And sending a goods loading instruction to the target loading object, wherein the goods loading instruction instructs the target loading object to load goods to be loaded into a target container on a goods shelf in a goods loading area, the target container is sorted to the target goods shelf based on the container sorting method, and the duty ratio range of the loading information of the target container does not exceed a preset duty ratio threshold value.

According to a fourth aspect of embodiments of the present specification, there is provided a container finishing device comprising:

a first acquisition module configured to acquire loading information of a target container, wherein the loading information characterizes a duty ratio of the loaded goods of the target container;

A determining module configured to determine a container racking lot of the target container based on a duty range to which the loading information belongs;

And the container sorting module is configured to sort the target containers to the target shelves corresponding to the container racking batches based on the container racking batches by dispatching the target objects.

According to a fifth aspect of embodiments of the present specification, there is provided a goods picking device comprising:

the second acquisition module is configured to acquire cargo information of cargoes to be picked;

a picking instruction generation module configured to generate a goods picking instruction based on the goods information;

And the goods picking module is configured to send goods picking instructions to the target picking object, wherein the goods picking instructions instruct the target picking object to pick goods to be picked from target containers on target shelves in a goods picking area, the target containers are sorted to the target shelves based on the container sorting method, and the duty ratio range of loading information of the target containers exceeds a preset duty ratio threshold value.

According to a sixth aspect of embodiments of the present specification, there is provided a cargo shelving device comprising:

the third acquisition module is configured to acquire cargo information of cargoes to be put on the shelf;

the loading instruction generation module is configured to generate a loading instruction of goods based on the goods information;

the goods loading module is configured to send goods loading instructions to the target loading objects, wherein the goods loading instructions instruct the target loading objects to load goods to be loaded into target containers on a goods shelf of a goods loading area, the target containers are sorted to the target goods shelf based on the container sorting method, and the duty ratio range of loading information of the target containers does not exceed a preset duty ratio threshold value.

According to a seventh aspect of embodiments of the present specification, there is provided a computing device comprising:

A memory and a processor;

The memory is adapted to store a computer program/instruction, and the processor is adapted to execute the computer program/instruction, which when executed by the processor, implements the steps of the method described above.

According to an eighth aspect of embodiments of the present description, there is provided a computer readable storage medium storing a computer program/instruction which, when executed by a processor, implements the steps of the above method.

According to a ninth aspect of embodiments of the present description, there is provided a computer program product comprising computer programs/instructions which, when executed by a processor, implement the steps of the above method.

In one embodiment of the present disclosure, loading information for a target container is obtained, wherein the loading information characterizes a duty cycle of the target container loaded with cargo; determining a container racking batch of the target container based on the duty ratio range to which the loading information belongs; based on the container racking lot, the dispatch target object collates the target container to a target shelf corresponding to the container racking lot. Based on the duty ratio range of the duty ratio of the loaded goods of the target container, the container loading batch of the target container is determined, the fine management of the goods shelves and the containers is realized, the space utilization rate of the goods shelves is improved, the whole space utilization rate of a storage scene is further improved, the containers with the loading state close to each other are more concentrated on the goods shelves through the division of the container loading batch, the reasonable arrangement of the containers on the goods shelves is completed, and the efficiency of the subsequent flow operation is improved.

Drawings

FIG. 1 is a schematic diagram of the loading of containers in a busy season of a warehouse scenario;

FIG. 2 is a schematic diagram of the loading of containers in a low season of a warehouse scenario;

FIG. 3 is a schematic diagram of the loading of shelves in the off-season of a warehouse scenario;

FIG. 4 is a flow chart of a container collation method provided by one embodiment of the present description;

FIG. 5 is a flow chart of a container collation method according to one embodiment of the present disclosure;

FIG. 6 is a schematic illustration of a container and shelf in a container collation method according to one embodiment of the present disclosure;

FIG. 7 is a schematic view of a container sorting method according to an embodiment of the present disclosure;

FIG. 8 is a flow chart of a method of picking items provided in one embodiment of the present disclosure;

FIG. 9 is a schematic illustration of a scenario of a method of picking items provided in one embodiment of the present disclosure;

FIG. 10 is a flow chart of a method of loading goods according to one embodiment of the present disclosure;

FIG. 11 is a schematic view of a method for loading cargo according to an embodiment of the present disclosure;

FIG. 12 is a schematic view of a container finishing device according to one embodiment of the present disclosure;

FIG. 13 is a schematic view of a cargo picking device according to one embodiment of the present disclosure;

FIG. 14 is a schematic view of a cargo racking device according to an embodiment of the present disclosure;

FIG. 15 is a block diagram of a computing device provided in one embodiment of the present description.

Detailed Description

In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present description. This description may be embodied in many other forms than described herein and similarly generalized by those skilled in the art to whom this disclosure pertains without departing from the spirit of the disclosure and, therefore, this disclosure is not limited by the specific implementations disclosed below.

The terminology used in the one or more embodiments of the specification is for the purpose of describing particular embodiments only and is not intended to be limiting of the one or more embodiments of the specification. As used in this specification, one or more embodiments and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used in one or more embodiments of the present specification refers to and encompasses any or all possible combinations of one or more of the associated listed items.

It should be understood that, although the terms first, second, etc. may be used in one or more embodiments of this specification to describe various information, these information should not be limited by these terms. These terms are only used to distinguish one type of information from another. For example, a first may also be referred to as a second, and similarly, a second may also be referred to as a first, without departing from the scope of one or more embodiments of the present description. The word "if" as used herein may be interpreted as "at … …" or "at … …" or "in response to a determination" depending on the context.

Furthermore, it should be noted that, user information (including, but not limited to, user equipment information, user personal information, etc.) and data (including, but not limited to, data for analysis, stored data, presented data, etc.) according to one or more embodiments of the present disclosure are information and data authorized by a user or sufficiently authorized by each party, and the collection, use, and processing of relevant data is required to comply with relevant laws and regulations and standards of relevant countries and regions, and is provided with corresponding operation entries for the user to select authorization or denial.

First, terms related to one or more embodiments of the present specification will be explained.

Loading cargoes on the shelf: in a warehouse scenario, an operation of placing goods into containers on shelves.

And (3) cargo picking: and in the warehouse scene, according to the order to be picked, taking out the goods from the containers on the goods shelves in the warehouse scene. The picking operation generally includes an operation procedure of picking the goods by dispatching the mobile device to carry the goods to a picking station, or dispatching the mobile device or the picking person to move to the goods according to the goods hit the goods in the order to be picked.

Sorting goods: in the warehouse scenario, various goods are classified and concentrated based on priority, distribution place, property of goods, customers, etc., for subsequent order distribution.

Picking station: in a warehouse scenario, a work area for goods picking work. The goods sorting machine is mainly used for sorting goods. Picking stations are typically equipped with various automated equipment and techniques to increase efficiency and accuracy.

And (5) a loading station: in a warehouse scenario, a work area for goods racking work. The goods loading device is mainly used for loading goods. The racking station is typically equipped with various automated equipment and techniques to increase efficiency and accuracy.

From mobile device: for example, a self-moving guided vehicle, a self-moving robot, etc., is a smart device that performs self-adaptive movement based on the surrounding environment. The self-moving equipment is loaded with an acquisition device, acquires environmental information in an adjacent range, automatically moves in a warehouse according to the environmental information, and executes a goods shelf carrying task.

Self-moving guided vehicle (Automated GuidedVehicle, AGV for short): a robot or vehicle capable of automatically navigating and moving on a preset path. They are widely used in manufacturing, logistics, healthcare, etc. fields to perform pallet handling tasks.

Self-moving robot (Autonomous Mobile Robot, abbreviated AMR): an unmanned transfer robot with autonomous navigation capability. Compared with the traditional AGV, the AMR can autonomously plan a path according to environmental conditions and task requirements and move without presetting guide rails or landmarks.

Warehouse management system (Warehouse MANAGEMENT SYSTEM, WMS for short): the system is a real-time computer software system, can manage information, resources, behaviors, inventory and distribution operations more perfectly according to operational business rules and algorithms, and improves efficiency.

Data management Platform (DATA MANAGEMENT Platform, abbreviated as DMP): the system is a platform for integrating scattered multiparty data into a unified technical platform, standardizing and subdividing the data and enabling users to process the subdivision results.

Robot management system (Robot MANAGEMENT SYSTEM, RMS for short): the system is a computer software system of an integrated management robot, realizes the dispatch control of a large number of robots and completes corresponding tasks.

Currently, handling pallets to work objects or moving work objects to pallets, loading goods into or picking goods from containers on the pallets is the dominant mode of operation. However, such an operation is dependent to some extent on the loading of the containers on the shelves, which is a serious influence on the efficiency of the loading or picking of the goods.

For example, there may be a distinction between off-season and on-season in warehouse scenarios. At off-season, the overall inventory level is relatively low. In the case of a heavy season, the overall stock level is relatively high. Fig. 1 shows a schematic distribution diagram of the loading condition of containers in a strong season in a warehouse scenario, as shown in fig. 1:

There are 199157 containers in the warehouse scene, including 10410 empty containers and 188747 non-empty containers, the empty container accounts for 5% and the non-empty container accounts for 95%.

Fig. 2 shows a schematic distribution diagram of the loading condition of containers in the off-season of a warehouse scene, as shown in fig. 2:

There are 206131 containers in the warehouse scene, including 75826 empty containers and 130845 non-empty containers, the empty container duty cycle is 37%, and the non-empty container duty cycle is 63%.

In the off-season, not only are empty containers left, but also more storage positions are left on the shelf. The empty warehouse space and the empty container occupy the goods shelf and the limited space of the goods picking area, so that the efficiency of goods picking is reduced. It is envisaged that if both empty containers and empty storage locations on the shelves in the cargo sorting area are changed to non-empty containers, the efficiency of cargo sorting can be effectively improved to some extent.

Fig. 3 shows a schematic distribution diagram of loading conditions of shelves in the off-season of a warehouse scene, as shown in fig. 3:

There are 4163 shelves in the warehouse scenario, where there are 250 empty shelves for all empty warehouse locations and/or empty containers, 2 for 20 non-empty containers, 2 for 30 non-empty containers, 313 for 40 non-empty containers, 3595 for 50 non-empty containers, and 1 for 60 non-empty containers. Wherein, 250 empty shelves and 313 shelves are all not full, can carry out the container arrangement and accomplish the combination, realize the more reasonable arrangement of container on the shelf.

Through the container arrangement, empty goods shelves of empty containers are arranged out, are carried to the goods shelf region close to the shelf-loading station, goods shelves of non-empty containers are arranged out, are carried to the goods sorting region close to the sorting station, and can be carried to the goods shelf standby region far away from the shelf-loading station and the sorting station.

In the present specification, there is provided a container sorting method, the present specification relates to a goods sorting method, a goods loading method, a container sorting apparatus, a goods loading apparatus, a computing device, a computer-readable storage medium, and a computer program product, which are described in detail in the following embodiments one by one.

Referring to fig. 4, fig. 4 shows a flowchart of a container sorting method according to an embodiment of the present disclosure, including the following specific steps:

step 402: loading information of the target container is obtained, wherein the loading information characterizes a duty ratio of the loaded goods of the target container.

The embodiments of the present disclosure apply to warehousing systems, including but not limited to: the system comprises a warehouse management system, a data management platform and a mobile equipment management system. Optionally, a picking station for picking goods and a loading station for loading goods are arranged in the warehouse management system, corresponding staff performs corresponding operations by dispatching the self-moving equipment at the picking station or the loading station, for example, the self-moving equipment (such as a self-moving guided vehicle AGV and a self-moving robot AMR) is dispatched to go to a specified goods shelf for picking or loading, and the intelligent terminal or the wearable equipment is utilized to receive a task instruction, scan a goods bar code to confirm the identity and the position information of the goods, so that the accuracy of picking or loading operation is ensured. In addition, the warehouse management system combines the internet of things technology to track equipment and goods dynamic in real time, optimize path planning and operation flow, and improve work efficiency and warehouse space utilization. The staff can monitor the working state of the self-mobile equipment through the mobile equipment management system, receive the feedback of the working progress, and adjust the task allocation and the priority according to the actual situation, so that the flexible, efficient and intelligent warehousing operation flow is realized. Meanwhile, the data management platform collects, analyzes and stores various data generated in the whole process, so that decision support, abnormal early warning and continuous optimization of warehousing operation strategies are facilitated.

The warehouse scene is a collection of physical environments and system environments for goods storage, management and circulation, and covers the warehouse and facilities, equipment and operation flows inside the warehouse. The storage scene realizes goods storage, management and circulation according to the operation flows of goods loading, goods sorting and the like. For example, large logistics centers, electronic commerce warehouses, freezers, medical warehouses, stereoscopic warehouses and the like in a plurality of industries such as logistics, production and manufacturing, retail and the like are warehouse scenes.

The container is a storage unit for loading goods in a warehouse scene, the goods are loaded in the container, and the container is loaded on a goods shelf. The container includes, but is not limited to: a container and a tray. For example, in the warehouse scenario of an e-commerce warehouse, the containers are plastic turnover boxes of standard size, which are placed neatly on the shelves of the e-commerce warehouse, each turnover box containing a different kind of merchandise.

The shelves are storage devices for loading containers in a warehouse scenario. The goods shelves can be divided into steel goods shelves, wooden goods shelves, plastic goods shelves and the like according to materials, and can be divided into a plurality of types such as beam goods shelves, driving-in goods shelves, attic goods shelves, shuttle goods shelves, automatic stereoscopic warehouse goods shelves and the like according to structures.

The goods are goods entities that are put on shelves, picked and sorted in a warehouse, such as daily necessities, foods, medicines, electronic products, etc.

The target container is a container to be tidied in a warehouse scene, and comprises an empty container and a non-empty container. The target container may be a container already loaded on the shelf, or may be a container not loaded on the shelf, and the container is waited for loading in the container sorting area, which is not limited herein. For example, in a warehouse scenario such as an e-commerce warehouse, a shelf where a plastic tote, i.e., a target container to be sorted, needs to be rearranged and sorted.

The loading information for the container is quantitative information characterizing the duty cycle at which the container has been loaded, including, but not limited to: the loading rate of the cargos of the container, the remaining space of the container, the number of cargos loaded on the container and the number of cargos loaded on the container, wherein the loading information can be visual loading information which is determined manually and visually, or can be real loading information which is acquired through a sensing device, the visual loading information is manually determined and recorded/uploaded to a warehousing system, and the real loading information is automatically calculated by the warehousing system according to the information acquired through the sensing device, and the method is not limited. For example, in a plastic transfer box having a total space of 1 cubic meter, which has been loaded with 0.7 cubic meter of goods, the transfer box has a loading information of 70% loading rate, the remaining space of 0.3 cubic meter, the number of loaded goods is 100, and the weight of loaded goods is 20kg.

The container loaded goods are goods entities that have been loaded in the container, for example, in one plastic transfer box, 100 loaded goods including various daily necessities, foods, medicines or electronic products, etc. have been loaded.

The ratio of the loaded container to the load bearing indicator of the container is a ratio of the loaded container to the load bearing indicator of the container, including but not limited to: space, number and weight ratios. For example, in a plastic transfer case having a total space of 1 cubic meter, a total number of loads of 150, and a total load weight of 40kg, the plastic transfer case has been loaded with 0.7 cubic meters of cargo, the number of loaded cargo is 100, the weight of loaded cargo is 20kg, the space ratio is 70%, the number ratio is 67%, the weight ratio is 50%, and the loading information of the container can characterize at least one of them.

The loading information of the target container may be acquired through a sensing device, may be input from a receiving front end, or may be acquired from a database, which is not limited herein. For example, the loading information of the target container may be automatically acquired by a sensor mounted on a shelf or in the target container, or the loading information of the target container may be recorded and updated by a manual input or scanning of a goods bar code, an RFID tag, or the like by a worker, or the loading information of the target container may be acquired from a data management platform in a warehouse system.

Illustratively, the warehouse scenario includes a container collation area, a picking station, a cargo picking area proximate to the picking station, a racking station, a cargo racking area proximate to the racking station, and a shelf standby area for storing empty shelves. At present, 1000 containers are required to be sorted in the off-season of a warehouse scene. In the warehouse system, the front end of a receiving staff manually inputs the visual cargo loading rate of any target container as 2%, and the visual cargo loading rate indicates the ratio between the number of loaded cargoes of the target container and the cargo carrying number of the target container.

Loading information of the target container is obtained, wherein the loading information characterizes a duty ratio of the loaded goods of the target container. Information support is provided for subsequent determination of the container racking lot for the target container.

Step 404: and determining the container racking batch of the target container based on the duty ratio range to which the loading information belongs.

The duty range to which the loading information belongs is a quantization interval range set for the duty of the loaded goods of the containers, and is used for classifying the containers of different loading degrees. For example, 0-50% empty containers may be provided, 50% -100% non-empty containers may be provided, 1% -50% empty containers may be provided, 50% -100% non-empty containers may be provided, meaning that all empty containers are excluded if 1% -50% are provided, meaning that all empty containers do not participate in container collation, and if 0-50% are provided, meaning that all empty containers are allowed to participate in container collation. The duty cycle range may be set in advance based on scene conditions of the warehouse scene.

The container racking batches are of different categories divided according to the duty ratio range of the loaded cargoes of the containers, and different container racking batches correspond to different racking strategies or racking sequences. The container racking batches include, but are not limited to: a picking batch of goods and a racking batch of goods. The division of the batches on the container realizes the fine management of the goods shelves and the containers, improves the space utilization rate of the goods shelves, and further improves the whole space utilization rate of the storage scene. For example, the containers with the duty ratio ranging from 0% to 50% are divided into goods loading batches, and in the off-season, the goods loading areas close to the loading stations can be arranged preferentially due to the fact that the loads are less, so that new goods can be filled into the containers conveniently, meanwhile, more goods sorting areas are emptied for the goods shelves loaded with non-empty containers, fine management of the goods shelves and the containers is achieved, the space utilization rate of the goods shelves is improved, and the overall space utilization rate of storage scenes is improved.

Based on the duty cycle range to which the loading information pertains, a container racking lot for the target container is determined, in an alternative manner: and determining a container shelving batch of the target container from at least one preset container shelving batch based on the duty ratio range to which the loading information belongs.

Illustratively, two container racking batches are preset, including a cargo picking batch and a cargo racking batch, the cargo picking batch having a duty cycle in the range of 50% -100% and the cargo racking batch having a duty cycle in the range of 0% -50%. The visual loading rate of the target container was 2%, and the container racking lot of the target container was determined to be a cargo racking lot.

And determining the container racking batch of the target container based on the duty ratio range to which the loading information belongs. By dividing the batches on the shelf of the container, a sorting basis is provided for the subsequent container sorting.

Step 406: based on the container racking lot, the dispatch target object collates the target container to a target shelf corresponding to the container racking lot.

The target object is an execution object with a container sorting function, and has moving capability, loading capability and task execution capability, and the container sorting is executed according to the scheduling instruction. Target objects include, but are not limited to: self-moving devices (self-moving guided vehicles AGV, self-moving robots AMR), non-self-moving devices (conveyor belts, robotic arms) and collators. For example, the target object is a self-mobile device or a non-self-mobile device, and the container sorting is performed after receiving the scheduling instruction, and for example, the target object is a sorting person, and the scheduling instruction is received through a personal digital assistant (Personal DigitalAssistant, abbreviated as PDA) or a display device, and the sorting person performs container sorting according to information provided by the personal digital assistant or the display device.

The target goods shelf is a goods shelf corresponding to the on-shelf batch of the containers and is used for loading the target containers. The target shelf may or may not have other containers already loaded thereon, and is not limited herein. The target shelf has an empty bin for loading the target container. In general, there may be empty shelves (less or no shelves than empty, e.g., 0-40 shelves of non-empty containers in fig. 3) and full shelves (more shelves than empty, e.g., 50-60 shelves of non-empty containers in fig. 3) for shelves in a warehouse scenario, the latter being typically selected as the target shelves, e.g., 30 shelves 1 empty, 25 shelves 2 empty, 5 shelves 3 and 4 empty, respectively, and there is a need to prioritize the target shelves 3 and 4 over a large number of empty containers, e.g., shelf 1. Because container sorting is a dynamically performed process, such a process avoids repeated container sorting processes for shelves that have completed container sorting, improving efficiency.

Based on the container racking lot, the dispatch target object collates the target container to a target shelf corresponding to the container racking lot, in an alternative way: and sending a dispatching instruction to the target object, indicating the target object to sort the target containers to target shelves corresponding to the container shelving batches according to the container shelving batches.

For example, a dispatch instruction is sent to the self-mobile robot AMR, which instructs the self-mobile robot AMR to sort the target containers to the target racks corresponding to the lot.

In the embodiment of the specification, the container loading batch of the target container is determined based on the duty ratio range of the loaded goods of the target container, so that the fine management of the goods shelves and the containers is realized, the space utilization rate of the goods shelves is improved, the whole space utilization rate of a storage scene is further improved, the containers with the close loading states are more concentrated on the goods shelves through the division of the container loading batch, the reasonable arrangement of the containers on the goods shelves is completed, and the efficiency of the subsequent flow operation is improved.

In an alternative embodiment of the present disclosure, step 404 includes the following specific steps:

comparing the loading information with the duty ratio range of at least one container racking batch to determine the container racking batch of the target container.

The ratio range of the at least one container racking batch is a quantization interval range preset for the ratio of the loaded cargoes of the at least one container racking batch, and the ratio range of the at least one container racking batch is used as a classification standard for distinguishing different containers, determining the types of the different containers and further corresponding to different racking strategies or racking sequences. For example, containers with loading information between 0% and 50% are divided into "non-empty container" batches. This range of duty cycles covers less loaded but non-empty containers, allowing them to participate in container collation, but due to their lower loading rates, are preferentially disposed in the palletized area for facilitating palletization, freeing up a palletized area for facilitating palletization. For another example, the duty cycle range of at least one on-shelf lot of containers is set to empty containers: 0% of a light-load container: 1% -40% of medium-load container: 41% -70% and heavy duty container: 71% -100%. The empty containers are directly used for loading cargoes, the container loading batch is a cargo loading batch, the heavy-load containers are directly used for picking cargoes, the container loading batch is a cargo picking batch, and the light-load containers and the medium-load containers can be determined to be used for loading cargoes or picking cargoes according to factors such as inventory turnover rate, commodity relevance and the like.

Comparing the loading information to the duty cycle range of the at least one container racking lot to determine a container racking lot for the target container, an alternative way is: comparing the loading information with the duty ratio range of at least one container racking batch, determining the duty ratio range of the loading information, and determining the container racking batch of the target container from the preset at least one container racking batch based on the duty ratio range of the loading information.

Illustratively, two container racking batches are preset, including a cargo picking batch and a cargo racking batch, the cargo picking batch having a duty cycle in the range of 50% -100% and the cargo racking batch having a duty cycle in the range of 0% -50%. Comparing the loading information with the duty ratio range of at least one container racking batch, determining that the duty ratio range to which the loading information belongs is 0% -50%, and determining that the container racking batch of the target container is a cargo racking batch based on the duty ratio range.

Comparing the loading information with the duty ratio range of at least one container racking batch to determine the container racking batch of the target container. The method realizes the division of the shelf batches of the containers with basis and more accuracy, and provides more accurate arrangement basis for the subsequent container arrangement.

In an alternative embodiment of the present disclosure, before comparing the loading information with the duty range of the at least one container racking lot to determine the container racking lot of the target container, the method further comprises the specific steps of:

and setting the duty ratio range of at least one container racking batch based on the scene condition of the warehousing scene.

Scene conditions of the warehouse scene are factor conditions that affect the operation flow in the warehouse scene, including but not limited to: environmental factor conditions, hardware device factor conditions, business requirement factor conditions, and management specification factor conditions. The environmental factor conditions include physical environment (such as warehouse area, floor height, temperature and humidity control, illumination condition, ground bearing, etc.), geographic location (such as distance from suppliers, customers, transportation hub), peripheral supporting facilities (such as loading and unloading platforms, elevators, fire-fighting facilities, etc.), and external environment (such as climate condition, traffic condition, etc.). Hardware equipment factor conditions include shelf type and layout, number and performance of self-moving equipment (AGV, AMR), setting of picking and putting stations, configuration of intelligent terminals and sensing equipment, and the like. Business demand factor conditions include industry characteristics, product characteristics, order structure (e.g., quantity of individual items, order frequency, seasonal fluctuations, etc.), inventory policies (e.g., safety inventory, turnover goals, ABC classifications, etc.), customer service requirements (e.g., delivery timeliness, packaging requirements, etc.), and the like. The management prescription factor conditions comprise legal and regulation requirements (such as fire safety, environmental protection prescription, labor protection and the like), enterprise internal management systems (such as warehouse in and out flows, inventory systems, performance assessment and the like), supply chain cooperation protocols (such as supplier management, third party logistics cooperation and the like) and the like.

For example, the duty cycle range of at least one container racking lot may be set to 0-50% empty containers, 50% -100% non-empty containers, or 1% -50% empty containers, 50% -100% non-empty containers, meaning that all empty containers are excluded if 1% -50% are set, meaning that all empty containers do not participate in container collation, and if 0-50% are set, meaning that all empty containers are allowed to participate in container collation, both schemes require selection based on the scene conditions of the warehouse scene.

The method comprises the steps of setting up the occupation ratio range of two container racking batches according to the scene conditions of a storage scene (comprising a container sorting area, a picking station, a cargo picking area close to the picking station, a racking station, a cargo racking area close to the racking station and a goods shelf standby area for storing empty goods shelves), wherein the picking station and the racking station are respectively arranged at two ends of the storage scene, the containers are sorted in a light season, a 1000 containers are required to be sorted, a compact shuttle type goods shelf system is adopted, 15 self-moving robots AMR and 5 self-moving guided vehicles AGVs are equipped, and a high stock turnover rate is pursued: the proportion of the goods picking batch is 50% -100% and the proportion of the goods loading batch is 0% -50%.

And setting the duty ratio range of at least one container racking batch based on the scene condition of the warehousing scene. The method has the advantages that the occupation ratio range of the container racking batches is preset, the dividing basis is provided for dividing the subsequent container racking batches, and the divided container racking batches are ensured to be suitable for the scene conditions of the storage scene.

In an alternative embodiment of the present disclosure, before step 406, the following specific steps are further included:

Acquiring cargo container information of a plurality of initial shelves, wherein the cargo container information characterizes the duty ratio of cargo containers loaded on the initial shelves, and the cargo containers are loaded cargo containers;

the target shelf is determined from the plurality of initial shelves based on the range of duty ratios to which the cargo container information pertains.

When containers are sorted, it is found that not all of the initial shelves are indiscriminately sorted, requiring a sequencing. The target pallet is required to be determined based on the duty range to which the cargo container information belongs. For example, there are 30 empty containers on shelf 1, 25 empty containers on shelf 2, 5 empty containers on each of shelf 3 and shelf 4, and it is necessary to determine that shelf 3 and shelf 4 are the target shelves preferentially rather than a large number of empty containers such as shelf 1. Because container sorting is a dynamically performed process, such a process avoids repeated container sorting processes for shelves that have completed container sorting, improving efficiency.

The initial pallet is a candidate pallet for loading the target container before the container is sorted, and may or may not be loaded with other containers, and is not limited herein. The plurality of initial shelves forms a candidate pool of target shelves. Generally, the initial pallet is a pallet that meets the requirement for fewer containers (empty containers for a pick-up lot or non-empty containers for a pick-up lot) to facilitate efficient use of pallet space and to optimize workflow.

The cargo container is a cargo-loaded container, i.e., a non-empty container. For example, in a medical warehouse, a standardized plastic pallet loaded with a plurality of medicines is a cargo container, which has been loaded with 300 boxes of different specifications of medicines, accounting for 60% of the total capacity of the pallet, and is loaded on the warehouse site of the initial shelf.

Cargo container information is quantitative information characterizing the duty cycle of the cargo container that the initial pallet has loaded, including, but not limited to: the cargo container loading rate of the pallet, the number of cargo containers, and the number of bins occupied by the cargo containers. For example, the total number of storage locations for an initial shelf is 70, and the cargo container information for the initial shelf includes: the loading rate of the cargo containers was 70% (indicating that the shelf used 70% of the total storage space), the number of cargo containers was 15, and the number of storage space occupied by the cargo containers was 49.

The duty range to which the cargo container information belongs is a quantization interval range set for the duty of the cargo containers loaded on the pallet, and is used for distinguishing the pallet of different cargo container loading degrees. The duty ratio range of the cargo container information is used for carrying out fine management on the goods shelves, guiding the utilization strategy of the goods shelves, such as selecting the goods shelves with more cargo containers (non-empty containers) as target goods shelves to carry out the arrangement of the target containers, eliminating scattered goods shelves, enabling the containers to be more intensively arranged on fewer goods shelves, effectively utilizing the space, and improving the efficiency of goods shelf or goods sorting (without placing a plurality of goods shelves and sorting from a plurality of goods shelves).

Determining a target shelf from a plurality of initial shelves based on a range of occupancy to which the cargo container information pertains, an alternative way being: the target shelf is determined from the plurality of initial shelves based on the order in which the duty cycle to which the cargo container information belongs is from greater to lesser.

Illustratively, a cargo container loading rate of 100 initial shelves is obtained, and a target shelf is determined from the 100 initial shelves based on the order in which the cargo container loading rates are in the order of increasing duty cycle.

Acquiring cargo container information of a plurality of initial shelves, wherein the cargo container information characterizes the duty ratio of cargo containers loaded on the initial shelves, and the cargo containers are loaded cargo containers; the target shelf is determined from the plurality of initial shelves based on the range of duty ratios to which the cargo container information pertains. Repeated container arrangement treatment on the goods shelves with finished container arrangement is avoided, and efficiency is improved.

In an alternative embodiment of the present disclosure, prior to acquiring the cargo container information for the plurality of initial shelves, the method further comprises the specific steps of:

acquiring container information of each goods shelf in a storage scene, wherein the container information represents the duty ratio of the loaded containers of each goods shelf;

a plurality of initial shelves are determined from the shelves based on the container information for each shelf and a preset container information threshold.

When containers are sorted, it is found that not all the shelves in the warehouse scene need to be sorted, and before sorting the containers according to the sequence, the initial shelf serving as a candidate shelf needs to be screened in advance. For example, a batch of initial shelves with fewer containers meeting the requirement is preferentially selected, and the shelf with the largest number of containers is found from the batch of shelves to serve as the target shelf.

Each goods shelf in the storage scene is each storage device used for loading the container in the storage scene.

The container information for the shelves is quantitative information characterizing the duty cycle of the containers that each shelf has loaded, including, but not limited to: the container loading rate of the shelf, the number of containers and the number of bins occupied by the containers. For example, the total number of storage locations of one shelf is 100, and the container information of the shelf includes: the container loading rate is 40% (indicating that the used storage space of the shelf accounts for 40% of the total storage space), the number of containers is 40, and the number of storage spaces occupied by the containers is 40.

The containers that the pallet has loaded are storage units that have been loaded on the pallet.

The preset container information threshold is a threshold for screening container information of an initial shelf in a warehouse scene, for example. The preset container information threshold is set to 10%.

The container information of each shelf in the warehouse scene can be acquired through the sensing equipment, can be input by the receiving front end, can be acquired from the database, and is not limited herein. For example, the sensor installed on the shelf or in the container can automatically acquire the container information of each shelf in the warehouse scene, or the container information of each shelf in the warehouse scene can be recorded and updated in a manner of manually inputting or scanning a goods bar code, an RFID label and the like by a worker, or the container information of each shelf in the warehouse scene can be acquired from the data management platform in the warehouse system.

Based on the container information of each shelf and a preset container information threshold value, a plurality of initial shelves are determined from each shelf, and the specific mode is as follows: and comparing the container information of each shelf with a preset container information threshold value, and determining a plurality of initial shelves from each shelf. Still further, an alternative way is: and comparing the container information of each shelf with a preset container information threshold value, and determining that the shelf with the container information not exceeding the preset container information threshold value is an initial shelf.

For example, at present, the storage scene is in a low season, the storage scene has 1000 shelves, the cargo container loading rate of the 1000 shelves is obtained from the data management platform in the storage system, the cargo container loading rate is compared with the preset cargo container loading rate threshold, the shelves with the container information not exceeding the preset container information threshold are determined to be initial shelves, and 200 initial shelves are determined from the 1000 shelves.

Acquiring container information of each goods shelf in a storage scene, wherein the container information represents the duty ratio of the loaded containers of each goods shelf; a plurality of initial shelves are determined from the shelves based on the container information for each shelf and a preset container information threshold. The goods shelves are screened in advance, so that the target goods shelves which meet requirements better are guaranteed to be processed preferentially in the follow-up container arrangement, and the container arrangement efficiency and the resource utilization rate are improved.

Setting a corresponding relation between at least one container loading batch and a working area in the storage scene based on scene conditions of the storage scene;

correspondingly, before step 406, the method further comprises the following specific steps:

and (5) dispatching the target carrying object to carry the target goods shelf to a target working area corresponding to the on-shelf batch of the container.

The working area in the warehouse scene is a specific area divided according to the flow operation in the warehouse environment and is used for supporting the flows of goods picking, goods loading, goods sorting and the like. Work areas are typically equipped with corresponding hardware facilities, equipment, and personnel to meet the needs of the process job. The working area may be a process station (loading station, picking station), or may be a shelf placement area closer to the process station. Working areas include, but are not limited to: a container collation area, a goods loading area, a goods picking area and a goods shelf standby area.

The corresponding relation between the at least one container shelving batch and the working area in the warehouse scene is used for executing the flow operation on the containers of the at least one container shelving batch, and the corresponding relation is established so as to improve the efficiency and the space utilization rate of the flow operation. For example, the cargo picking batch and the cargo picking area have a corresponding relationship, and the containers of the cargo picking batch are arranged in the cargo picking area near the picking station, so that the cargo picking can be conveniently and quickly performed. The goods loading batches and the goods loading areas have corresponding relations, and the goods loading areas near the loading stations are arranged with the containers of the goods loading batches, so that the goods loading is conveniently and rapidly executed.

The target transport object is an execution object having a pallet transport function, and has a mobility, a load capacity, and a task execution capacity, and pallet transport is executed according to a scheduling instruction. Target handling objects include, but are not limited to: self-moving devices (self-moving guided vehicles AGV, self-moving robots AMR) and handling personnel. For example, the target object is a self-mobile device, and the shelf transportation is performed after receiving the scheduling instruction, and for example, the target object is a transportation person, and the scheduling instruction is received through a personal digital assistant (Personal DigitalAssistant, abbreviated as PDA) or a display device, and the transportation person performs the shelf transportation according to information provided by the personal digital assistant or the display device.

The target work area is a work area having a correspondence with a container racking lot of the target container. For example, the container racking lot of the target container is a goods picking lot and the target work area is a goods picking area.

The target carrier object is scheduled to carry the target goods shelf to a target working area corresponding to the batch of the goods shelf on the container, and one optional mode is as follows: and sending a scheduling instruction to the target carrying object to instruct the target carrying object to carry the target goods shelf to the target working area corresponding to the on-shelf batch of the container.

Illustratively, two container racking batches are set up based on the scene conditions of a warehouse scene (including a container arrangement area, a picking station, a cargo picking area close to the picking station, a racking station, a cargo racking area close to the racking station and a shelf standby area for storing empty shelves), wherein the picking station and the racking station are respectively arranged at two ends of the warehouse scene, the warehouse is in a slack season, 1000 containers are required to be arranged, a dense shuttle shelf system is adopted, 15 self-moving robots AMR and 5 self-moving guided vehicles AGVs are equipped, and a high inventory turnover rate is pursued): correspondence between the load-on-shelf batches and the load-on-shelf areas, the load-picking batches and the load-picking areas. And sending a scheduling instruction to the AMR, and indicating the AMR to carry the target goods shelf to the goods shelf region corresponding to the goods shelf batch.

Setting a corresponding relation between at least one container loading batch and a working area in the storage scene based on scene conditions of the storage scene; and (5) dispatching the target carrying object to carry the target goods shelf to a target working area corresponding to the on-shelf batch of the container. The automatic scheduling and automatic carrying are realized, the warehousing operation flow is effectively optimized, the resource utilization rate of the warehousing scene is improved, and the efficiency of the subsequent flow operation is improved.

In an alternative embodiment of the present disclosure, the at least one container racking lot comprises a picking lot of goods, and the work area in the warehouse scene comprises a picking area of goods;

Correspondingly, determining a container racking batch of the target container based on the duty ratio range to which the loading information belongs, comprising the following specific steps:

under the condition that the duty ratio range of the loading information exceeds a preset duty ratio threshold value, determining that the container racking batch of the target container is a cargo picking batch;

Correspondingly, the method for dispatching the target carrying object to carry the target goods shelf to the target working area corresponding to the on-container shelf batch comprises the following specific steps:

and dispatching the target carrying object to carry the target goods shelf to the goods picking area.

The goods picking requires a full container, if the full container is insufficient, then the full container is also sufficient, and a preset duty ratio threshold is reasonably set to divide the shipment picking batch, for example, the full container is a container with the residual capacity of X%, and X can be customized but is a larger value. If all of the containers used for goods picking are not full, frequent changes of shelves or containers are required to complete the goods picking, resulting in inefficient picking.

A load pick batch is a category of containers that need to be subjected to load picking, which is typically loaded with more load, with higher loading information. The division of the goods picking batch is used for intensively loading the containers with higher information, so that the goods picking efficiency is improved, invalid movement is reduced, meanwhile, the storage space layout is optimized, and the efficient utilization of the picking area is ensured. In warehouse management, there is a correspondence between the lot for picking the goods and the area for picking the goods. For example, in an e-commerce warehouse, a picking batch of goods is set to containers having a ratio in the range of 50% -100%, which means that containers having a loading rate in this range will be grouped into the same picking batch, and a worker or automated equipment will prefer to pick these containers in the vicinity of the picking station.

The goods picking area is a specific area which is divided according to the goods picking process operation in the storage environment and is used for supporting the goods picking process. The goods picking area is usually equipped with corresponding goods picking hardware facilities, goods picking equipment and pickers to meet the demands of the goods picking process operation. The goods picking area may be a picking station, or may be a shelf placement area closer to the picking station. For example, in an e-commerce warehouse, a cargo picking area is located near a picking station and is formed by a plurality of rows of shelves on which cargo picking batches of containers are stored, and a picker uses a PDA to receive picking tasks in the area, quickly locate the containers in which the cargo to be picked is located, and complete the cargo picking process.

The preset duty threshold is a threshold preset for a duty range to which the loading information belongs, and when the duty range to which the loading information of the container belongs exceeds the threshold, the container is determined to belong to the goods picking lot, otherwise, the container does not belong. For example, in a warehouse of a certain e-commerce, the preset duty threshold is set to be 50%, and when the duty range to which the loading information of a container belongs exceeds 50%, the container is classified into a lot for picking goods, and the container is subjected to a goods picking process operation in a goods picking area. If the loading information of the container is included in a 45% range, the container may be disposed of in other process areas without including the pick lot.

Scheduling the target carrier to carry the target pallet to the cargo picking area, an alternative way is: and sending a dispatching instruction to the target carrying object to instruct the target carrying object to carry the target goods shelf to the goods picking area.

In an exemplary embodiment, when the visual loading rate of the target container is 52%, the duty ratio range is 50% -100%, and the duty ratio range exceeds the preset duty ratio threshold by 50%, determining that the container racking lot of the target container is a cargo picking lot, sending a dispatching instruction to the self-moving robot AMR, and instructing the self-moving robot AMR to transfer the target pallet to a cargo picking area corresponding to the cargo picking lot.

Under the condition that the duty ratio range of the loading information exceeds a preset duty ratio threshold value, determining that the container racking batch of the target container is a cargo picking batch; and dispatching the target carrying object to carry the target goods shelf to the goods picking area. The high loading information container that needs to select is accurately discerned to divide it to the goods and select the batch and accomplish the container arrangement, dispatch target transport object carries it to special goods and selects the region, has realized the high-efficient concentration of selecting the operation, optimizes spatial layout, reduces invalid removal, promotes the efficiency that the goods was selected and the space utilization of warehouse scene.

In an alternative embodiment of the present disclosure, the at least one container racking batch comprises a cargo racking batch, and the work area in the warehouse scene comprises a cargo racking area;

under the condition that the duty ratio range of the loading information does not exceed a preset duty ratio threshold value, determining that the container shelving batch of the target container is a goods shelving batch;

and dispatching the target carrying object to carry the target goods shelf to the goods loading area.

The empty containers are needed for loading the goods, if the empty containers are insufficient, the empty containers are also needed, and a preset duty ratio threshold value is reasonably set to divide the batches of loading the goods, for example, the empty containers are the rest of X percent of the volume and can be used for loading the goods, and X can be customized but is a larger value. If the containers are full for loading the goods, the shelves or containers need to be replaced frequently to complete the loading of the goods, resulting in inefficient loading.

A lot of goods is a class of containers that need to be put on, which are typically loaded with less goods and have lower loading information. The division of goods loading batches is used for concentrating containers with lower loading information, is favorable for improving goods loading efficiency and reducing invalid movement, and is favorable for optimizing storage space layout and ensuring efficient utilization of loading areas. In warehouse management, there is a correspondence between the lot of goods and the area of goods shelves. For example, in an e-commerce warehouse, a cargo racking batch is set to containers having a ratio in the range of 0% -50%, meaning that containers having a loading rate in this range will be grouped into the same racking batch and personnel or automated equipment will prefer to racking these containers in the vicinity of the racking station.

The goods loading area is a specific area divided according to the goods loading process operation in the storage environment and is used for supporting the goods loading process. The cargo racking area is typically equipped with corresponding cargo racking hardware facilities, cargo racking equipment, and racking personnel to meet the demands of cargo racking process operations. It should be noted that the goods loading area may be a loading station, or may be a shelf placement area closer to the loading station. For example, in an e-commerce warehouse, a cargo loading area is located near a loading station and is formed by a plurality of rows of shelves on which cargo loading batches of containers are stored, and a loading worker uses a PDA to receive a loading task in the area, quickly locate the containers in which the cargo to be loaded is located, and complete the cargo loading process.

The preset duty ratio threshold is a threshold preset for the duty ratio range to which the loading information belongs, and when the duty ratio range to which the loading information of the container belongs does not exceed the threshold, the container is considered to belong to the goods loading batch, otherwise, the container does not belong. For example, in a warehouse of a certain e-commerce, the preset duty ratio threshold is set to be 50%, when the duty ratio range to which the loading information of a container belongs does not exceed 50%, the container is classified as a lot for loading goods, and the container is subjected to a goods loading process operation in a goods loading area. If the loading information of the container is 55% in the ratio range, the lot may be disposed of in another process area without taking into account the load.

Scheduling the target handling object to handle the target shelf to the cargo loading area, an optional way is: and sending a scheduling instruction to the target carrying object to instruct the target carrying object to carry the target goods shelf to the goods loading area.

For example, when the visual loading rate of the target container is 2%, the duty ratio range is 0% -50%, and the duty ratio range does not exceed the preset duty ratio threshold value by 50%, determining that the container racking lot of the target container is a cargo racking lot, sending a scheduling instruction to the self-mobile robot AMR, and indicating the self-mobile robot AMR to carry the target cargo rack to the cargo racking area corresponding to the cargo racking lot.

Under the condition that the duty ratio range of the loading information does not exceed a preset duty ratio threshold value, determining that the container shelving batch of the target container is a goods shelving batch; and dispatching the target carrying object to carry the target goods shelf to the goods loading area. The method has the advantages that the containers with low loading information needing to be put on the shelf are accurately identified, the containers are divided into goods putting batches to finish container arrangement, the goods are conveyed to a special goods putting area by a dispatching target conveying object, efficient concentration of putting on the shelf operation is achieved, space layout is optimized, invalid movement is reduced, and the goods putting on the shelf efficiency and the space utilization rate of a storage scene are improved.

In an alternative embodiment of the present disclosure, before step 402, the following specific steps are further included:

and determining a container shelf from the plurality of initial shelves based on the cargo container information and the preset cargo container information threshold, and determining that the container on the container shelf is a target container.

When the containers are sorted, the sorting of the containers is required to be ordered in sequence, the container shelf is determined from a plurality of initial shelves according to the cargo container information and the preset cargo container information threshold value, and the container on the container shelf is determined to be the target container. For example, empty shelves can be preferentially screened, if the containers on the shelves participate in goods picking, the shelf hit rate is low, but the containers conform to the goods loading conditions, the goods loading process operation can be preferentially executed to become full containers, the full shelves are formed by arranging the containers, and the shelf hit rate of goods picking is improved from the side face. For example, the full goods shelves can be preferentially screened, if the containers on the goods shelves participate in goods loading, the goods shelf hit rate is low, but the containers conform to the goods sorting condition, the goods sorting flow operation can be preferentially executed to become empty containers, the empty goods shelves are formed by arranging the containers, and the goods shelf hit rate is improved from the side face.

The preset cargo container information threshold is a threshold for determining cargo container information of the target container in the warehouse scenario, for example. The preset cargo container information threshold is set to 10%.

The container shelf is a shelf screened based on a preset cargo container information threshold in a storage scene, the shelf is loaded with at least one container, for example, 10 initial shelves, wherein cargo container information of 3 initial shelves is lower than 10%, the 3 initial shelves are determined to be container shelves, and containers on the 3 container shelves are determined to be target containers.

The cargo container information of the plurality of initial shelves may be acquired by the sensing device, may be input from the receiving front end, or may be acquired from a database, which is not limited herein. For example, the information of the goods containers of the plurality of initial shelves may be automatically acquired by a sensor mounted on the shelf or in the target container, the information of the goods containers of the plurality of initial shelves may be recorded and updated by manual input or scanning of the goods bar codes, RFID tags, etc. by a worker, and the information of the goods containers of the plurality of initial shelves may be acquired from a data management platform in the warehouse system.

Based on cargo container information and a preset cargo container information threshold value, determining a container shelf from a plurality of initial shelves, wherein the container on the container shelf is determined to be a target container, and the specific mode is as follows: comparing the cargo container information with a preset cargo container information threshold value, determining a container shelf from a plurality of initial shelves, and determining that the container on the container shelf is a target container.

For example, at present, the warehouse scene is in the off season, 200 initial shelves are arranged in the warehouse scene, the cargo container loading rate of the 200 initial shelves is obtained from a data management platform in the warehouse system, the cargo container loading rate is compared with a preset cargo container loading rate threshold, 50 cargo container shelves are determined from the 200 initial shelves, 1000 cargo containers on the 50 cargo container shelves are determined to be target cargo containers, and the 1000 target cargo containers are required to be sorted.

Acquiring cargo container information of a plurality of initial shelves, wherein the cargo container information characterizes the duty ratio of cargo containers loaded on the initial shelves, and the cargo containers are loaded cargo containers; and determining a container shelf from the plurality of initial shelves based on the cargo container information and the preset cargo container information threshold, and determining that the container on the container shelf is a target container. The sorting sequence of the containers is clarified, the sorting process of the containers is improved, and the goods sorting or shelf hit rate of the goods is improved on the side face.

In an alternative embodiment of the present disclosure, acquiring cargo container information for a plurality of initial shelves includes the following specific steps:

Acquiring initial loading information of a plurality of initial shelf loaded containers;

Determining a cargo container from the loaded containers based on the initial loading information of the loaded containers;

Cargo container information for a plurality of initial shelves is determined based on the duty cycle of the cargo containers.

Shelf loaded containers are containers that have been loaded in a shelf, for example, on one stereoscopic warehouse shelf, 200 loaded trays have been loaded.

The initial loading information of the plurality of initial shelf loaded containers is classification information that characterizes whether the loaded containers are loaded with cargo, including, but not limited to: loaded, unloaded, and indeterminate whether loaded. The initial loading information may be visual loading information determined manually by visual inspection, or may be real loading information collected by a sensing device, where the visual loading information is manually determined and recorded/uploaded to a warehousing system, and the real loading information is automatically calculated by the warehousing system according to the information collected by the sensing device, which is not limited herein. For example, in a plastic tote, 1 item has been loaded, with initial loading information: loaded with cargo.

Cargo container information is quantitative information characterizing the duty cycle of the cargo container that the initial pallet has loaded, including, but not limited to: the cargo container loading rate of the pallet, the number of cargo containers, and the number of bins occupied by the cargo containers. For example, the total number of storage locations on one initial shelf is 60, 6 containers are loaded on the initial shelf, 5 containers are cargo containers (non-empty containers), 1 container is an empty container, and other storage locations are not loaded with containers, and then the cargo container full rate of the initial shelf=5/60=8.33%.

The initial loading information of the loaded containers of the plurality of initial shelves may be acquired through a sensing device, may be input from a receiving front end, or may be acquired from a database, which is not limited herein. For example, the initial loading information of the initial shelf-loaded container may be automatically acquired by a sensor mounted on the initial shelf or in the initial shelf-loaded container, or the initial loading information of the initial shelf-loaded container may be recorded and updated by manual input or scanning of a goods bar code, RFID tag, etc. by a worker, or the initial loading information of the initial shelf-loaded container may be acquired from a data management platform in the warehouse system.

Illustratively, initial loading information for 200 initial pallet loaded containers is automatically obtained by sensors installed in the 200 initial pallet loaded containers, a cargo container (non-empty container) is determined from the loaded containers based on the initial loading information for the loaded containers, and a cargo container loading rate for the 200 initial pallet is determined based on the duty cycle of the cargo container.

Acquiring initial loading information of a plurality of initial shelf loaded containers; determining a cargo container from the loaded containers based on the initial loading information of the loaded containers; cargo container information for a plurality of initial shelves is determined based on the duty cycle of the cargo containers. And the accurate data basis of the cargo container information is provided for the subsequent determination of the container shelf and the determination of the target container.

In an alternative embodiment of the present description, the initial cargo comprises a number of containers that can be loaded with containers;

Before determining cargo container information for the plurality of initial shelves based on the duty cycle of the cargo containers, the method further comprises the specific steps of:

the duty cycle of the cargo containers is determined based on the number of containers of the cargo containers and the number of containers that can be loaded with the containers.

The number of containers of a cargo container is a quantitative indicator of the state of loading of the container on the initial shelf, i.e., the maximum number of containers that can be loaded.

The number of containers that can be loaded is an indicator of the number of containers that were loaded on the initial pallet, i.e., the total inventory count of the pallet.

The ratio of cargo containers is determined based on the number of containers of the cargo containers and the number of containers that can be loaded with the containers by: the ratio of cargo containers is determined based on a ratio of the number of containers of the cargo containers to the number of containers of the loadable containers. In the embodiment of the present disclosure, in the case where the cargo container information is the cargo container loading rate, the corresponding calculation formula is: cargo container loading rate = number of cargo containers (cargo in container.

Illustratively, the occupancy of the cargo container is determined based on a ratio of the number of cargo containers on the 200 initial shelves to the number of cargo containers that can be loaded.

The duty cycle of the cargo containers is determined based on the number of containers of the cargo containers and the number of containers that can be loaded with the containers. Data support is provided for subsequent determination of cargo container information for a plurality of initial shelves.

Fig. 5 is a schematic flow chart of a container sorting method according to an embodiment of the present disclosure, as shown in fig. 5:

And acquiring the container information of each goods shelf in the storage scene. A plurality of initial shelves are determined from the shelves based on the container information for each shelf and a preset container information threshold. Cargo container information for a plurality of initial shelves is obtained. The method comprises the steps of determining a container shelf from a plurality of initial shelves based on a cargo container loading rate and a preset cargo container loading rate threshold, determining that a container on the container shelf is a target container, and determining the target shelf from the plurality of initial shelves based on a duty cycle range to which the cargo container loading rate belongs.

And acquiring the cargo loading rate of any target container, comparing the cargo loading rate with the duty ratio range of at least one container racking batch, and determining the duty ratio range to which the cargo loading rate belongs.

And under the condition that the duty ratio range exceeds the preset duty ratio threshold value, determining that the container racking batch of the target container is a goods picking batch. The dispatch target object sorts the target containers to the target shelves based on the pick batches of goods. It is determined whether all container collations of the picking batches of goods are completed. And if not, re-acquiring the cargo loading rate of any target container, and repeating the steps. And (3) dispatching the target carrying object to carry the target goods shelf to the goods picking area until all container arrangement of the goods picking batch is completed.

And under the condition that the duty ratio range does not exceed the preset duty ratio threshold value, determining the container racking batch of the target container as the goods racking batch. The dispatch target object collates the target container to the target shelf based on the shipment lot. And judging whether all container arrangement of the goods shelf batch is finished. And if not, re-acquiring the cargo loading rate of any target container, and repeating the steps. And (3) dispatching the target carrying object to carry the target goods shelf to the goods shelf area until finishing all the container arrangement of the goods shelf batches.

The dispatch target transfer object transfers the remaining initial shelves except the target shelf to the spare shelf area.

Fig. 6 is a schematic view of a container and a shelf in a container sorting method according to an embodiment of the present disclosure, as shown in fig. 6:

The containers are arranged in disorder on the two shelves before the containers are arranged; any shelf has both non-empty and empty (non-empty) and empty containers. By sorting the containers in the embodiment of fig. 4, two shelves are obtained after sorting the containers, wherein one shelf has only non-empty containers and the other shelf has only empty and empty containers. The containers with the close loading states are more concentrated on the goods shelves, and the reasonable arrangement of the containers on the goods shelves is completed.

Fig. 7 is a schematic view of a scenario of a container sorting method according to an embodiment of the present disclosure, as shown in fig. 7:

In the warehouse scene, a rational goods area (container sorting area), a goods picking area, a goods loading area and a goods shelf standby area, and a self-moving device (target transport object) are distributed.

In the sorting area, the container sorting in the embodiment of fig. 4 is performed on the shelf before container sorting, and the shelf after container sorting is obtained. Only the container racking batches of the non-empty containers are cargo picking batches, the cargo picking batches are loaded on target racks corresponding to the cargo picking batches, only the container racking batches of the empty containers and the empty containers are cargo racking batches, and the cargo racking batches are loaded on target racks corresponding to the cargo racking batches.

And dispatching the self-moving equipment to carry the target goods shelves corresponding to the goods picking batches to the goods picking areas.

And dispatching the self-moving equipment to carry the target goods shelves corresponding to the goods shelf batches to the goods shelf region.

The slave mobile device is scheduled to carry the remaining racks, except for the target rack, to the rack spare area.

Referring to fig. 8, fig. 8 shows a flowchart of a method for picking goods according to an embodiment of the present disclosure, including the following specific steps:

Step 802: and acquiring cargo information of the cargo to be picked.

The embodiments of the present disclosure apply to warehousing systems, including but not limited to: the system comprises a warehouse management system, a data management platform and a mobile equipment management system. Optionally, a picking station for picking goods is provided in the warehouse management system, and corresponding staff performs corresponding operations by dispatching the self-moving device at the picking station, for example, dispatching the self-moving device (such as a self-moving guided vehicle AGV and a self-moving robot AMR) to go to a specified goods shelf for picking, receiving a task instruction by using an intelligent terminal or a wearable device, scanning a goods bar code to confirm the identity and position information of the goods, and ensuring the accuracy of the goods picking process operation. In addition, the warehouse management system combines the internet of things technology to track equipment and goods dynamic in real time, optimize path planning and operation flow, and improve work efficiency and warehouse space utilization. The staff can monitor the working state of the self-mobile equipment through the mobile equipment management system, receive the feedback of the working progress, and adjust the task allocation and the priority according to the actual situation, so that the flexible, efficient and intelligent warehousing operation flow is realized. Meanwhile, the data management platform collects, analyzes and stores various data generated in the whole process, so that decision support, abnormal early warning and continuous optimization of warehousing operation strategies are facilitated.

The goods to be picked are the goods which need to be taken out from the container of the goods shelf in the storage scene, and are determined according to various business scenes such as order demands, replenishment demands, goods returning treatment and the like. For example, in an e-commerce warehouse, a consumer orders a television, two packages of detergent, and a box of milk. The goods (television, washing powder and milk) are the goods to be sorted, the goods shelves where the goods are located are needed to be found in the warehouse according to order information, and the goods shelves are taken out from the containers of the goods shelves.

The goods information of the goods to be picked is identification information for identifying the goods to be picked, and the goods information includes but is not limited to: unique identification of the item to be picked (e.g., bar code, RFID tag), name of the item, specification, number, lot number, shelf life, storage location, and inventory status. The goods information is used to quickly locate the goods, verify the quantity of goods, update inventory during picking, etc. For example, the television set in the e-commerce order includes: the bar code is 123456789, the brand name is "XX brand 55 inch smart television", the model is "TV-5500", the number is 1, the batch number is "B20220101", the shelf life is up to 1 month 1 day of 2024, the storage position is "shelf A-3-5", and the stock state is "in stock".

And acquiring cargo information of the cargo to be picked. Providing a source of information for the subsequent generation of the order for picking the good.

Step 804: based on the item information, an item pick instruction is generated.

The goods picking instruction is a flow operation instruction which is generated by the warehousing system and used for indicating the target picking object to execute goods picking. The goods picking instruction generally comprises goods information of goods to be picked, picking requirements (such as priority, time limit and the like), picking paths and the like, and therefore efficiency and accuracy of goods picking flow operation can be improved. For example, a cargo picking order is an order sent to a pickers PDA: "please pick 1 XX brand 55 inch smart tv (bar code 123456789) from shelf a-3-5, two packages of XX brand laundry powder (bar code 9876543210) from shelf C-2-7, and one box of XX brand milk (bar code 5555555555) from shelf E-1-2. Please sort in order and ensure that the check number and name are correct. "

Based on the item information, an item pick instruction is generated. An information carrier is provided for subsequently instructing a target pick object to pick goods to be picked from target containers on a target shelf of a goods picking area.

Step 806: and sending a goods picking instruction to the target picking object, wherein the goods picking instruction instructs the target picking object to pick goods to be picked from target containers on target shelves in a goods picking area, the target containers are sorted to the target shelves based on the container sorting method, and the duty ratio range of loading information of the target containers exceeds a preset duty ratio threshold value.

The target picking object has an executing object with a goods picking function, and the target picking object has moving capability, loading capability and goods picking executing capability and executes goods picking according to goods picking instructions. Target pickers include, but are not limited to: self-moving devices (self-moving guided vehicles AGV, self-moving robots AMR), non-self-moving devices (conveyor belts, robotic arms) and pickers. For example, the target picking object is a self-moving device or a non-self-moving device, and performs the picking of the goods after receiving the goods picking instruction, for example, the target picking object is a picking person, receives the goods picking instruction through a personal digital assistant (Personal DigitalAssistant, abbreviated as PDA) or a display device, and the picking person performs the picking of the goods according to information provided by the personal digital assistant or the display device.

The embodiments of the present description and the embodiment of fig. 4 are for the same inventive concept, and the repetition is not repeated.

Fig. 9 is a schematic view of a scenario of a cargo picking method according to an embodiment of the present disclosure, as shown in fig. 9:

In the warehouse scene, the goods picking area is close to the picking station, and goods picking is completed by carrying the goods shelves in the goods picking area to the picking station. The cargo loading rate of the containers on the shelves in the cargo sorting area is high. And sending a cargo picking instruction to a picking person at a picking station, and dispatching the self-moving equipment by the picking person to carry the target goods shelf from a cargo picking area to the picking station, wherein the picking person picks the cargo to be picked from a target container on the target goods shelf.

In the embodiment of the specification, under the condition that the duty ratio range of the loading information of the target container exceeds the preset duty ratio threshold, the target container is arranged on the target goods shelf in advance based on the on-shelf batches of the containers, so that the goods shelf and the containers are finely managed, the space utilization rate of the goods shelf is improved, the whole space utilization rate of a storage scene is further improved, the loaded containers are more concentrated on the goods shelf, the reasonable arrangement of the loaded containers on the goods shelf is completed, and the goods sorting efficiency is improved.

Referring to fig. 10, fig. 10 shows a flowchart of a method for loading cargoes on shelves according to an embodiment of the present disclosure, including the following specific steps:

step 1002: and acquiring cargo information of the cargoes to be put on the shelf.

The embodiments of the present disclosure apply to warehousing systems, including but not limited to: the system comprises a warehouse management system, a data management platform and a mobile equipment management system. Optionally, a loading station for loading goods is provided in the warehouse management system, corresponding staff performs corresponding operations by dispatching the self-moving device, for example, the self-moving device (such as a self-moving guided vehicle AGV and a self-moving robot AMR) is dispatched to go to the designated goods shelf for loading, and the intelligent terminal or the wearable device is used for receiving a task instruction, scanning a goods bar code to confirm the identity and the position information of the goods, so that the accuracy of the goods loading process operation is ensured. In addition, the warehouse management system combines the internet of things technology to track equipment and goods dynamic in real time, optimize path planning and operation flow, and improve work efficiency and warehouse space utilization. The staff can monitor the working state of the self-mobile equipment through the mobile equipment management system, receive the feedback of the working progress, and adjust the task allocation and the priority according to the actual situation, so that the flexible, efficient and intelligent warehousing operation flow is realized. Meanwhile, the data management platform collects, analyzes and stores various data generated in the whole process, so that decision support, abnormal early warning and continuous optimization of warehousing operation strategies are facilitated.

The goods to be put on the shelf are goods which need to be put in the container of the goods shelf in the storage scene, and the goods to be put on the shelf are goods which are subjected to warehouse-in acceptance. For example, in an e-commerce warehouse, after a batch of shampoo products which are just delivered are accepted, the shampoo products are prepared to be put into a plastic turnover box on a shelf for storage, and the batch of shampoo products are delivered to the shelf.

The goods information to be put on the shelf is identification information for identifying the goods to be put on the shelf, and the goods information includes but is not limited to: unique identification (e.g., bar code, RFID tag), name, specification, number, lot number, shelf life, storage location, and inventory status of the goods to be shelved. The cargo information is used to quickly locate the cargo position, verify the quantity of the cargo, and make inventory updates during the racking process, etc. For example, for a batch of shampoos to be put on shelf, the cargo information includes: the bar code is 6789012345, the product name is 'XX brand deep nourishing shampoo', the specification is '500 ml', the number is 100 bottles, and the batch number is 'B20230. Jpg'.

And acquiring cargo information of the cargoes to be put on the shelf. And an information source is provided for the subsequent generation of goods shelf instructions.

Step 1004: and generating a goods loading instruction based on the goods information.

The goods loading instruction is a flow operation instruction which is generated by the warehousing system and used for indicating the target loading object to execute goods loading. The goods loading instruction generally comprises goods information of goods to be loaded, loading requirements (such as priority, time limit and the like), loading paths and the like, and can improve the efficiency and accuracy of goods loading flow operation. For example, the goods loading instructions are: "instruction number: GHI-2023-0001; cargo information of the cargo to be put on the shelf: unique identification: bar code 6789012345/RFID tag E123456789; name: XX brand deep nourishing shampoo; specification and model: 500ml; quantity: 100 bottles; batch number: b20230.Jpg; storage position: temporary storage area A-10; inventory status: placing the steel plate on a rack; the requirements of the upper frame are as follows: priority level: high; time limit: please finish the racking operation in the present day; and (3) setting a path: starting point: temporary storage area A-10; target goods shelf: row 5, column 10 shelves (number: R5-10); target container: layer 3, 4 plastic tote (numbered: C5-10-3-4); and (3) setting up operation guide: and using the PDA to scan the bar code or RFID label of the goods to be put on the shelf, and confirming the goods information. And moving the goods to be put on the rack from the temporary storage area A-10 to the target rack R5-10 according to the appointed path. And properly placing goods to be put on the shelf in a 4 th plastic turnover box (C5-10-3-4) on a 3 rd layer of the target shelf, so as to ensure that the quantity is accurate and meets the storage requirement. After the loading is completed, the PDA is used for scanning the target container identification, and the loading information is confirmed to be synchronized to the warehouse management system. "

Step 1006: and sending a goods loading instruction to the target loading object, wherein the goods loading instruction instructs the target loading object to load goods to be loaded into a target container on a goods shelf in a goods loading area, the target container is sorted to the target goods shelf based on the container sorting method, and the duty ratio range of the loading information of the target container does not exceed a preset duty ratio threshold value.

The target shelving object is provided with an execution object of a goods shelving function, and has moving capability, loading capability and goods shelving execution capability, and goods shelving is executed according to goods shelving instructions. Target racking objects include, but are not limited to: self-moving devices (self-moving guided vehicles AGV, self-moving robots AMR), non-self-moving devices (conveyor belts, robotic arms) and racking personnel. For example, the target shelving object is a self-moving device or a non-self-moving device, and the goods are put on shelf after receiving the goods put on shelf instruction, and for example, the target shelving object is a person put on shelf, and the person put on shelf executes goods put on shelf according to information provided by a personal digital assistant (Personal DigitalAssistant, abbreviated as PDA) or a display device.

The embodiments of the present specification and fig. 4 and fig. 8 are for the same inventive concept, and the repetition is not repeated.

Fig. 11 is a schematic view of a scenario of a cargo loading method according to an embodiment of the present disclosure, as shown in fig. 11:

In the storage scene, the goods loading area is close to the loading station, and goods loading is completed through carrying goods shelves of the goods loading area to the loading station. The cargo loading rate of the on-shelf containers in the cargo loading area is low. And sending goods to put on the shelf to instruct the person who puts on the shelf at the station, and dispatching the person who puts on the shelf from the mobile device to carry the target goods shelf from the goods put on the shelf area to the station, wherein the person who puts on the shelf will wait to put on the shelf goods to the target container on the target goods shelf.

In the embodiment of the specification, under the condition that the duty ratio range of the loading information of the target container does not exceed the preset duty ratio threshold value, the target container is arranged on the target goods shelf in advance based on the container loading batch, so that the goods shelf and the container are finely managed, the space utilization rate of the goods shelf is improved, the whole space utilization rate of a storage scene is further improved, the empty container is more concentrated on the goods shelf, the reasonable arrangement of the empty container on the goods shelf is completed, and the goods loading efficiency is improved.

Corresponding to the above method embodiments, the present disclosure further provides an embodiment of a container sorting device, and fig. 12 shows a schematic structural diagram of a container sorting device provided in one embodiment of the present disclosure. As shown in fig. 12, the apparatus includes:

a first acquisition module 1202 configured to acquire loading information of a target container, wherein the loading information characterizes a duty ratio of the loaded goods of the target container;

A determining module 1204 configured to determine a container racking lot of the target container based on a duty range to which the loading information belongs;

The container collation module 1206 is configured to schedule the target object to collate the target container to a target shelf corresponding to the container racking lot based on the container racking lot.

Optionally, the determining module 1204 is further configured to: comparing the loading information with the duty ratio range of at least one container racking batch to determine the container racking batch of the target container.

Optionally, the apparatus further comprises: a target shelf determination module configured to obtain cargo container information for a plurality of initial shelves, wherein the cargo container information characterizes a duty cycle of cargo containers loaded by the initial shelves, the cargo containers being loaded cargo containers; the target shelf is determined from the plurality of initial shelves based on the range of duty ratios to which the cargo container information pertains.

Optionally, the apparatus further comprises: the initial shelf determining module is configured to acquire container information of each shelf in the storage scene, wherein the container information characterizes the duty ratio of the loaded containers of each shelf; a plurality of initial shelves are determined from the shelves based on the container information for each shelf and a preset container information threshold.

Optionally, the apparatus further comprises: the corresponding relation determining module is configured to set the corresponding relation between at least one container on-shelf batch and the working area in the storage scene based on the scene condition of the storage scene;

Correspondingly, the device further comprises: and the goods shelf carrying module is configured to schedule the target carrying object to carry the target goods shelf to the target working area corresponding to the on-container shelf batch.

Optionally, the at least one container racking lot comprises a cargo picking lot, and the work area in the warehouse scene comprises a cargo picking area;

Correspondingly, the determination module 1204 is further configured to: under the condition that the duty ratio range of the loading information exceeds a preset duty ratio threshold value, determining that the container racking batch of the target container is a cargo picking batch;

Correspondingly, the rack handling module is further configured to: and dispatching the target carrying object to carry the target goods shelf to the goods picking area.

Optionally, the at least one container racking batch comprises a cargo racking batch, and the work area in the warehouse scene comprises a cargo racking area;

Correspondingly, the determination module 1204 is further configured to: under the condition that the duty ratio range of the loading information does not exceed a preset duty ratio threshold value, determining that the container shelving batch of the target container is a goods shelving batch;

Correspondingly, the rack handling module is further configured to: and dispatching the target carrying object to carry the target goods shelf to the goods loading area.

Optionally, the apparatus further comprises: a container determination module configured to obtain cargo container information for a plurality of initial shelves, wherein the cargo container information characterizes a duty cycle of cargo containers loaded by the initial shelves, the cargo containers being loaded cargo containers; and determining a container shelf from the plurality of initial shelves based on the cargo container information and the preset cargo container information threshold, and determining that the container on the container shelf is a target container.

Optionally, the container determination module is further configured to: acquiring initial loading information of a plurality of initial shelf loaded containers; determining a cargo container from the loaded containers based on the initial loading information of the loaded containers; cargo container information for a plurality of initial shelves is determined based on the duty cycle of the cargo containers.

Optionally, the initial cargo comprises a container number of loadable containers;

Correspondingly, the device further comprises: a duty cycle determination module configured to determine a duty cycle of the cargo container based on the number of containers of the cargo container and the number of containers of the loadable container.

The above is a schematic version of a container finishing device of the present embodiment. It should be noted that, the technical solution of the container sorting device and the technical solution of the container sorting method belong to the same concept, and details of the technical solution of the container sorting device, which are not described in detail, can be referred to the description of the technical solution of the container sorting method.

Corresponding to the above method embodiments, the present disclosure further provides an embodiment of a cargo picking device, and fig. 13 shows a schematic structural diagram of a cargo picking device provided in one embodiment of the present disclosure. As shown in fig. 13, the apparatus includes:

A second acquisition module 1302 configured to acquire item information for items to be picked;

A pick instruction generation module 1304 configured to generate a goods pick instruction based on the goods information;

and a cargo picking module 1306 configured to send a cargo picking instruction to the target picking object, wherein the cargo picking instruction instructs the target picking object to pick the cargo to be picked from the target container on the target shelf in the cargo picking area, the target container is sorted to the target shelf based on the container sorting method, and the duty ratio range of the loading information of the target container exceeds the preset duty ratio threshold.

The above is an illustrative version of a cargo picking device of this embodiment. It should be noted that, the technical solution of the goods picking device and the technical solution of the goods picking method described above belong to the same concept, and details of the technical solution of the goods picking device which are not described in detail can be referred to the description of the technical solution of the goods picking method described above.

Corresponding to the above method embodiments, the present disclosure further provides an embodiment of a cargo loading device, and fig. 14 shows a schematic structural diagram of a cargo loading device according to one embodiment of the present disclosure. As shown in fig. 14, the apparatus includes:

A third acquiring module 1402 configured to acquire cargo information of a cargo to be put on a shelf;

An racking instruction generation module 1404 configured to generate a cargo racking instruction based on the cargo information;

The goods loading module 1406 is configured to send a goods loading instruction to the target loading object, where the goods loading instruction instructs the target loading object to load goods to be loaded into a target container on a target shelf in the goods loading area, the target container is sorted to the target shelf based on the container sorting method, and a duty ratio range to which loading information of the target container belongs does not exceed a preset duty ratio threshold.

The above is an exemplary embodiment of a cargo loading device according to the present embodiment. It should be noted that, the technical solution of the goods loading device and the technical solution of the goods loading method belong to the same concept, and details of the technical solution of the goods loading device which are not described in detail can be referred to the description of the technical solution of the goods loading method.

FIG. 15 illustrates a block diagram of a computing device provided in one embodiment of the present description. The components of computing device 500 include, but are not limited to, a memory 1510 and a processor 1520. Processor 1520 is coupled to memory 1510 via bus 1530 and database 1550 is used to hold data.

Computing device 1500 also includes an access device 1540, the access device 1540 enabling the computing device 1500 to communicate via one or more networks 1560. Examples of such networks include a public switched telephone network (Public Switched Telephone Network, PSTN for short), a local area network (LocalAreaNetwork, LAN for short), a wide area network (WideAreaNetwork, WAN for short), a personal area network (PersonalAreaNetwork, PAN for short), or a combination of communication networks such as the internet. The access device 1540 may include one or more of any type of network interface, wired or wireless (e.g., network interface card (Network Interface Controller, NIC)), such as an IEEE802.11 wireless local area network (Wireless Local Area Network, WLAN) wireless interface, a worldwide interoperability for microwave access (Worldwide Interoperability for MicrowaveAccess, wi-MAX) interface, an ethernet interface, a universal serial bus (Universal Serial Bus, USB) interface, a cellular network interface, a bluetooth interface, a near field Communication (NEAR FIELD Communication, NFC).

In one embodiment of the present description, the above-described components of computing device 1500, as well as other components not shown in FIG. 15, may also be connected to each other, such as by a bus. It should be understood that the block diagram of the computing device illustrated in FIG. 15 is for exemplary purposes only and is not intended to limit the scope of the present description. Those skilled in the art may add or replace other components as desired.

Computing device 1500 may be any type of stationary or mobile computing device, including a mobile computer or mobile computing device (e.g., tablet, personal digital assistant, laptop, notebook, netbook, etc.), mobile phone (e.g., smart phone), wearable computing device (e.g., smart watch, smart glasses, etc.), or other type of mobile device, or a stationary computing device such as a desktop or personal computer (Personal Computer, abbreviated as PC). Computing device 1500 may also be a mobile or stationary server.

The processor 1520 is configured to execute a computer program/instruction that, when executed by the processor, implements the steps of the container sort method, the item picking method, or the item racking method described above.

The foregoing is a schematic illustration of a computing device of this embodiment. It should be noted that, the technical solution of the computing device belongs to the same concept as the technical solution of the container sorting method, the goods sorting method and the goods loading method, and details of the technical solution of the computing device which are not described in detail can be referred to the description of the technical solution of the container sorting method, the goods sorting method or the goods loading method.

An embodiment of the present disclosure also provides a computer-readable storage medium storing a computer program/instruction which, when executed by a processor, implements the steps of the container sort method, the item picking method, or the item racking method described above.

The above is an exemplary version of a computer-readable storage medium of the present embodiment. It should be noted that, the technical solution of the storage medium and the technical solutions of the container sorting method, the goods sorting method and the goods loading method described above belong to the same concept, and details of the technical solution of the storage medium which are not described in detail can be referred to the description of the technical solutions of the container sorting method, the goods sorting method or the goods loading method described above.

An embodiment of the present specification also provides a computer program product comprising computer programs/instructions which, when executed by a processor, implement the steps of the container sort method, the item picking method, or the item racking method described above.

The foregoing is a schematic version of a computer program product of this embodiment. It should be noted that, the technical solution of the computer program product and the technical solutions of the container sorting method, the goods sorting method and the goods loading method described above belong to the same concept, and details of the technical solution of the computer program product, which are not described in detail, can be referred to the description of the technical solutions of the container sorting method, the goods sorting method or the goods loading method described above.

The foregoing describes specific embodiments of the present disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

The computer instructions include computer program code that may be in source code form, object code form, executable file or some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (RandomAccess Memory RAM), an electrical carrier wave signal, a telecommunications signal, a software distribution medium, and so forth. It should be noted that the content of the computer readable medium can be increased or decreased appropriately according to the requirements of the patent practice, for example, in some areas, according to the patent practice, the computer readable medium does not include an electric carrier signal and a telecommunication signal.

It should be noted that, for simplicity of description, the foregoing method embodiments are all expressed as a series of combinations of actions, but it should be understood by those skilled in the art that the embodiments are not limited by the order of actions described, as some steps may be performed in other order or simultaneously according to the embodiments of the present disclosure. Further, those skilled in the art will appreciate that the embodiments described in the specification are all preferred embodiments, and that the acts and modules referred to are not necessarily all required for the embodiments described in the specification.

In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to the related descriptions of other embodiments.

The preferred embodiments of the present specification disclosed above are merely used to help clarify the present specification. Alternative embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the teaching of the embodiments. The embodiments were chosen and described in order to best explain the principles of the embodiments and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. This specification is to be limited only by the claims and the full scope and equivalents thereof.

Claims

1. A method of sorting containers, comprising:

Acquiring loading information of a target container, wherein the loading information characterizes the duty ratio of loaded cargoes of the target container;

and based on the container shelving batch, dispatching a target object to sort the target container to a target shelf corresponding to the container shelving batch.

2. The method of claim 1, wherein the determining a container racking lot for the target container based on the duty cycle range to which the loading information pertains comprises:

And comparing the loading information with the duty ratio range of at least one container racking batch to determine the container racking batch of the target container.

3. The method of claim 2, wherein prior to said comparing the loading information to the duty cycle range of at least one container racking lot, determining a container racking lot for the target container, further comprising:

4. The method of claim 1, further comprising, prior to the dispatching a target object to sort the target container to a target shelf corresponding to the container racking lot based on the container racking lot:

Acquiring cargo container information of a plurality of initial shelves, wherein the cargo container information characterizes the duty ratio of cargo containers loaded on the initial shelves, and the cargo containers are the cargo containers loaded;

and determining a target goods shelf from the plurality of initial goods shelves based on the duty ratio range to which the goods container information belongs.

5. The method of claim 4, further comprising, prior to the acquiring cargo container information for the plurality of initial shelves:

and determining a plurality of initial shelves from the shelves based on the container information of the shelves and a preset container information threshold value.

6. The method of claim 1, further comprising, prior to the dispatching a target object to sort the target container to a target shelf corresponding to the container racking lot based on the container racking lot:

Setting a corresponding relation between at least one container shelving batch and a working area in a storage scene based on scene conditions of the storage scene;

After the dispatching target object sorts the target container to the target shelf corresponding to the container racking lot based on the container racking lot, the method further comprises:

and the target carrying object is dispatched to carry the target goods shelf to a target working area corresponding to the on-shelf batch of the container.

7. The method of claim 6, wherein the at least one container racking lot comprises a cargo picking lot, and the work area in the warehouse scene comprises a cargo picking area;

The determining a container racking batch of the target container based on the duty ratio range to which the loading information belongs includes:

Determining that the container racking lot of the target container is the goods picking lot under the condition that the duty ratio range of the loading information exceeds a preset duty ratio threshold value;

The dispatch target handling object handling the target shelf to a target work area corresponding to the container racking lot, comprising:

And dispatching a target carrying object to carry the target goods shelf to the goods picking area.

8. The method of claim 6, wherein the at least one container racking lot comprises a cargo racking lot, and the work area in the warehouse scene comprises a cargo racking area;

determining that the container racking batch of the target container is the cargo racking batch under the condition that the duty ratio range of the loading information does not exceed a preset duty ratio threshold;

And dispatching a target carrying object to carry the target goods shelf to the goods loading area.

9. The method of any one of claims 1-8, further comprising, prior to said obtaining the loading information of the target container:

And determining a container goods shelf from the plurality of initial goods shelves based on the goods container information and a preset goods container information threshold value, and determining the container on the container goods shelf as a target container.

10. The method of claim 9, wherein the acquiring cargo container information for a plurality of initial shelves comprises:

cargo container information for the plurality of initial shelves is determined based on the duty cycle of the cargo containers.

11. The method of claim 10, wherein the initial cargo comprises a number of loadable containers;

before the determining cargo container information for the plurality of initial shelves based on the duty cycle of the cargo containers, further comprising:

a duty cycle of the cargo containers is determined based on the number of containers of the cargo containers and the number of containers of the loadable containers.

12. A method of picking goods, comprising:

Acquiring cargo information of cargoes to be picked;

Generating a goods sorting instruction based on the goods information;

Sending the goods picking instruction to a target picking object, wherein the goods picking instruction indicates that the target picking object picks the goods to be picked from a target container on a target shelf of a goods picking area, the target container is sorted to the target shelf based on the method of any one of claims 1-11, and the loading information of the target container belongs to a duty ratio range exceeding a preset duty ratio threshold value.

13. A method of racking cargo comprising:

Acquiring cargo information of cargoes to be put on a rack;

generating a goods loading instruction based on the goods information;

And sending the goods loading instruction to a target loading object, wherein the goods loading instruction instructs the target loading object to load the goods to be loaded into a target container on a goods shelf in a goods loading area, the target container is sorted to the target goods shelf based on the method of any one of claims 1-11, and the duty ratio range of the loading information of the target container does not exceed a preset duty ratio threshold value.

14. A computing device, comprising:

A memory and a processor;

The memory is adapted to store a computer program/instruction, the processor being adapted to execute the computer program/instruction, which when executed by the processor, implements the steps of the method of any of claims 1 to 13.

15. A computer-readable storage medium, characterized in that it stores a computer program/instruction which, when executed by a processor, implements the steps of the method of any one of claims 1 to 13.

16. A computer program product comprising computer programs/instructions which, when executed by a processor, implement the steps of the method of any of claims 1 to 13.