CN112633794A - Sorting container information processing method and device, electronic equipment and storage medium - Google Patents

Abstract

The embodiments of the present invention are applicable to the technical field of logistics, and provide a sorting container information processing method, device, electronic device and storage medium, wherein the sorting container information processing method includes: collecting each sorting task in the set task set Corresponding first identifiers are respectively associated; the first identifier represents a container for placing the delivery package corresponding to the picking task; all picking tasks in the task set are set to correspond to the same delivery site; based on all the determined first identifiers, determine setting the total volume of all containers corresponding to the task set; determining at least one second identifier based on the total volume; each second identifier in the at least one second identifier represents a vehicle for transporting all or part of the all containers establishing an association relationship between all the determined first identifiers and at least one second identifier, so as to assign a corresponding transportation vehicle to all containers corresponding to the set task set based on the association relationship.

Description

A sorting container information processing method, device, electronic device and storage medium

technical field

The invention relates to the technical field of logistics, and in particular, to a sorting container information processing method, device, electronic device and storage medium.

Background technique

In the related art, when processing the picking task, the sorting center allocates the packages related to the picking task to the delivery sites according to the delivery addresses. In the related art, when the number of picking tasks increases sharply, there is a problem that the picking tasks are not processed in time, which affects the processing time of customer orders.

SUMMARY OF THE INVENTION

In order to solve the above problems, the embodiments of the present invention provide a sorting container information processing method, device, electronic device and storage medium, so as to at least solve the problem that sorting tasks are not processed in a timely manner when the number of sorting tasks surges in the related art .

The technical scheme of the present invention is realized as follows:

In a first aspect, an embodiment of the present invention provides a sorting container information processing method, the method comprising:

Associate each picking task in the set task set with a corresponding first identifier; the first identifier represents a container for placing the delivery package corresponding to the picking task; all picking tasks in the set task set correspond to the same delivery site;

determining the total volume of all containers corresponding to the set task set based on all the determined first identifiers;

determining at least one second identification based on the total volume; each second identification of the at least one second identification representing a transport vehicle for transporting all or a portion of the total container;

An association relationship is established between all the determined first identifiers and the at least one second identifier, so as to allocate a corresponding transport vehicle to all the containers corresponding to the set task set based on the association relationship.

In the above solution, determining the total volume of all containers corresponding to the set task set based on all the determined first identifiers includes:

The total volume is determined based on the first volume, the second volume of the delivery package corresponding to each picking task in the set task set, the number of the total containers, and the first coefficient of each of the total containers ; the first volume characterizes the volume of each of the total containers; the first coefficient characterizes the ratio of the total volume of all delivery packages placed in the container to the first volume.

In the above scheme, the method also includes:

For all picking tasks received within the first period, all picking tasks are divided based on the delivery site to obtain at least one task set; the set task set is any one task in the at least one task set set.

In the above scheme, the method also includes:

Determine at least one node associated with the first container; one node in the at least one node represents a distribution site that receives or ships the first container; the first container is one of the at least one node A container in any node of ;

When any one of the at least one node receives or delivers the first container, modify the inventory information of the first container in the at least one node; the inventory information at least characterizes the The shipping status of the first container.

In the above scheme, the method also includes:

determining a first predicted value of the number of picking tasks received by at least one of the at least one node during the second time period;

determining a second predicted value of the total volume of all containers corresponding to the first predicted value;

Based on the second predicted value, a first number of containers required for the first predicted value is determined.

In the above scheme, the method also includes:

determining a second quantity; the second quantity represents the inventory quantity of the container in the corresponding node;

When the second quantity is less than the first quantity, early warning information is sent; the early warning information is used to prompt the corresponding node to replenish the stock quantity of the container based on the first quantity.

In a second aspect, an embodiment of the present invention provides a sorting container information processing method, the method comprising:

Determine at least one node associated with the first container; one node in the at least one node represents a distribution site that receives or ships the first container; the first container is one of the at least one node A container in any node of ; the container is used to place the delivery package corresponding to the picking task;

When any one of the at least one node receives or delivers the first container, modify the inventory information of the first container in the at least one node; the inventory information at least characterizes the The shipping status of the first container.

In the above scheme, the method also includes:

determining a first predicted value of the number of picking tasks received by at least one of the at least one node during the second time period;

determining a second predicted value of the total volume of all containers corresponding to the first predicted value;

Based on the second predicted value, a first number of containers required for the first predicted value is determined.

In the above scheme, the method also includes:

determining a second quantity; the second quantity represents the inventory quantity of the container in the corresponding node;

When the second quantity is less than the first quantity, early warning information is sent; the early warning information is used to prompt the corresponding node to replenish the stock quantity of the container based on the first quantity.

In a third aspect, an embodiment of the present invention provides a sorting container information processing device, the device comprising:

The first association module is used to associate each picking task in the set task set with a corresponding first identifier; the first identifier represents a container for placing the delivery package corresponding to the picking task; the setting task All centralized picking tasks correspond to the same distribution site;

a first determination module, configured to determine the total volume of all containers corresponding to the set task set based on all the determined first identifiers;

A second determination module, configured to determine at least one second identifier based on the total volume; each of the at least one second identifier represents a vehicle for transporting all or part of the total containers. transport vehicle;

A second association module, configured to establish an association relationship between all the determined first identifiers and the at least one second identifier, so as to assign corresponding transportation to all containers corresponding to the set task set based on the association relationship vehicle.

In a fourth aspect, an embodiment of the present invention provides a sorting container information processing device, the device comprising:

a third determination module, configured to determine at least one node associated with the first container; one of the at least one node represents a distribution site that receives or ships the first container; the first container is a container in any one of the at least one node; the container is used to place the delivery package corresponding to the picking task;

a modification module, configured to modify the inventory information of the first container in the at least one node when any one of the at least one node receives or delivers the first container; the inventory The information characterizes at least the shipping status of the first container.

In a fifth aspect, an embodiment of the present invention provides an electronic device, including a processor and a memory, wherein the processor and the memory are connected to each other, wherein the memory is used to store a computer program, and the computer program includes program instructions, the The processor is configured to invoke the program instructions to execute the steps of the sorting container information processing method provided in the first aspect of the embodiments of the present invention.

In a sixth aspect, an embodiment of the present invention provides a computer-readable storage medium, including: the computer-readable storage medium stores a computer program. When the computer program is executed by the processor, the steps of the sorting container information processing method provided by the first aspect of the embodiments of the present invention are implemented.

The embodiment of the present invention determines the total volume of all containers corresponding to the set task set by associating each picking task in the set task set with the corresponding first identifier respectively, and based on all the determined first identifiers. At least one second identifier is determined based on the total volume, and an association relationship is established between all the determined first identifiers and the at least one second identifier, so as to assign a corresponding transport vehicle to all containers corresponding to the set task set based on the association relationship. Wherein, the first identifier represents a container for placing the delivery package corresponding to the picking task, all picking tasks in the task set are set to correspond to the same delivery site, and each second identifier in the at least one second identifier represents a vehicle A transport vehicle for transporting all or part of said total containers. In the embodiment of the present invention, the delivery package corresponding to each picking task is put into the container corresponding to the delivery site in the warehouse, thereby avoiding the problem of time-consuming delivery of the package through the sorting center. And establish the association relationship between the container and the transport vehicle. According to the association relationship, the container can be directly loaded into the corresponding transport vehicle, which shortens the delivery time of the distribution package, improves the processing efficiency of the picking task, and shortens the processing of customer orders. aging.

Description of drawings

FIG. 1 is a schematic diagram of an implementation flow of a sorting container information processing method provided by an embodiment of the present invention;

FIG. 2 is a schematic flowchart of the implementation of another sorting container information processing method provided by an embodiment of the present invention;

FIG. 3 is a schematic diagram of the implementation flow of another sorting container information processing method provided by an embodiment of the present invention;

FIG. 4 is a schematic diagram of an implementation flow of another sorting container information processing method provided by an embodiment of the present invention;

FIG. 5 is a schematic diagram of the implementation flow of a sorting container information processing method provided by an embodiment of the present invention;

FIG. 6 is a schematic diagram of an implementation flow of another sorting container information processing method provided by an embodiment of the present invention;

FIG. 7 is a schematic diagram of an implementation flow of another sorting container information processing method provided by an embodiment of the present invention;

8 is a schematic diagram of a sorting container information processing flow provided by an application embodiment of the present invention;

9 is a schematic diagram of a sorting container information processing flow provided by an application embodiment of the present invention;

10 is a schematic diagram of a sorting container information processing device provided by an embodiment of the present invention;

11 is a schematic diagram of a sorting container information processing device provided by an embodiment of the present invention;

FIG. 12 is a schematic diagram of an electronic device provided by an embodiment of the present invention.

Detailed ways

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

In the related art, after a customer places an order on an e-commerce platform, the e-commerce platform will issue a picking task to a warehouse near the receiving address according to the delivery address of the customer's order. For example, if the receiving location of the customer's order is located in nearby areas such as Hubei or Hunan, the e-commerce platform will issue the picking task to the Central China Warehouse. The warehouse packs the goods corresponding to the picking task and sends them to the delivery site corresponding to the receiving address through logistics, and then the delivery site performs the final delivery and delivers the delivery package to the customer.

In the related art, after the warehouse produces delivery packages, all delivery packages need to be sorted one by one through a sorting center. On some special promotional festivals, such as Double Eleven, the warehouse will receive a large number of picking tasks, and the sorting center cannot process these delivery packages in time, which will affect the processing time of customer orders.

In view of the above-mentioned shortcomings of the related art, the embodiment of the present invention provides a sorting container information processing method, which can at least improve the processing efficiency of the sorting task. In order to illustrate the technical solutions of the present invention, the following specific embodiments are used for description.

1 is a schematic diagram of the implementation flow of a sorting container information processing method provided by an embodiment of the present invention. The execution subject of the sorting container information processing method is an electronic device, and the electronic device includes a desktop computer, a notebook computer, and a server. Referring to Figure 1, the sorting container information processing method includes:

S101, associate each picking task in the set task set with a corresponding first identifier; the first identifier represents a container for placing the delivery package corresponding to the picking task; all picking tasks in the set task set The tasks correspond to the same delivery site.

In an embodiment of the present invention, for all picking tasks received within the first time period, all picking tasks are divided based on delivery sites to obtain at least one task set; the set task set is the Any set of tasks in at least one set of tasks.

For example, all picking tasks received in the first period may be all picking tasks received by the warehouse on the same day and issued by the e-commerce platform. The warehouse divides all picking tasks according to delivery sites, and assigns the same delivery site The picking tasks are divided into the same task set. For example, picking tasks with a receiving address within 5 kilometers of a delivery site can be classified as picking tasks at the same delivery site. In this way, at least one task set can be obtained according to different distribution sites, and the picking tasks in each task set correspond to the same distribution site.

The set task set is any task set in at least one task set. Each picking task in the set task set is associated with a corresponding first identifier, and the first identifier represents a container for placing the delivery package corresponding to the picking task. .

Here, the container is used to place the delivery package. For example, the container can be a transfer bag that can be recycled many times. After each delivery, the container is recycled and reused, which can not only reduce the cost of purchasing containers for the warehouse, but also be environmentally friendly. It can reduce the damage rate of the delivery package to a certain extent.

A first identification of the container is printed on the outer surface of each container, for example, the first identification may be a barcode, each container has a unique first identification, and the first identifications between the containers are different from each other. Delivery packages placed in the same container all correspond to the same delivery site. Place the delivery packages corresponding to all picking tasks in the set task set in one or more containers, and record which picking tasks each container corresponds to. Each picking task is associated with the corresponding first identifier, so that by reading the first identifier of the container, it is possible to know which delivery packages corresponding to the picking task are placed in the container.

In practical applications, before picking goods, the warehouse first divides the picking tasks of the same distribution site to obtain multiple task sets. When the warehouse picks goods, the delivery packages are classified into multiple containers according to the task set, and only the delivery packages from the same delivery site are put into the same container. and associate the first identifier of the container with the picking task corresponding to the delivery package placed in the container. Since the delivery packages in a container are all from the same delivery site, the delivery packages are put into the corresponding containers in the warehouse, thereby avoiding the problem of time-consuming delivery of the packages through the sorting center. The sorting center only needs to sort the containers, and does not need to take out the delivery packages in the containers for separate sorting, which improves the sorting efficiency and sorting accuracy.

S102, based on all the determined first identifiers, determine the total volume of all containers corresponding to the set task set.

When the warehouse produces the delivery packages corresponding to the picking task, it will measure the volume of each delivery package and associate the volume with the corresponding picking task. In this way, the volumes of all delivery packages in the corresponding container can be known according to the first identifier, so that the total volume of all delivery packages in the container can be obtained. The total volume of delivery packages in each container is counted, so that the total volume of all containers corresponding to the set task set can be known.

In one embodiment, the determining, based on all the determined first identifiers, the total volume of all containers corresponding to the set task set includes:

The total volume is determined based on the first volume, the second volume of the delivery package corresponding to each picking task in the set task set, the number of the total containers, and the first coefficient of each of the total containers ; the first volume characterizes the volume of each of the total containers; the first coefficient characterizes the ratio of the total volume of all delivery packages placed in the container to the first volume.

Specifically, in practical applications, the total volume can be determined according to the following formula.

表示全部容器中的每个容器对应的第一系数的平均值。α₁和α₂表示影响系数，α₁表示配送包裹体积之和的影响系数，其中考虑到配送包裹堆叠、不整齐码放、包裹异形等影响；α₂表示容器数量的影响系数。Among them, k represents the identity of the warehouse, j represents the identity of the delivery site, V _jk represents the total volume of all containers corresponding to the set task set, and V _ijk represents the volume of the delivery package corresponding to the ith picking task in the set task set ( The second volume), the second volume can be measured according to the volume measuring device; N _jk represents the number of all containers corresponding to the set task set, V ₀ represents the first volume, and the volume of each container is the same. P _tk represents the first coefficient,

Represents the average value of the first coefficient corresponding to each container in all containers. α ₁ and α ₂ represent the influence coefficient, α ₁ represents the influence factor of the sum of the volume of the delivery package, which takes into account the influence of stacking, uneven stacking, and irregular shape of the delivery package; α ₂ represents the influence factor of the number of containers.

Based on the above formula, the total volume of all containers corresponding to the set task set can be calculated.

S103: Determine at least one second identifier based on the total volume; each of the at least one second identifier represents a transport vehicle for transporting all or part of the containers in the total containers.

In practical applications, each warehouse has a transport vehicle for its transportation and distribution of packages, and records the information of the transport vehicles currently parked in the warehouse in real time, such as vehicle model, volume, quantity, etc. After the delivery package is placed in the container, the transport vehicle needs to transport all the containers corresponding to the set task set to the same delivery site. Transportation vehicles include large vehicles and medium-sized vehicles. Different types of transportation vehicles have different volumes. In order to save transportation costs, it is necessary to increase the utilization rate of the transportation volume of the transportation vehicles as much as possible.

Here, each transport vehicle has a unique second identification, and in one embodiment, each second identification is associated with the transport volume of the corresponding transport vehicle. Record these related information in the database to facilitate information query and invocation. In this way, the transportation volume of the corresponding transportation vehicle can be determined according to the second identification, and the corresponding second identification can also be queried according to the transportation volume.

At least one second identifier is determined according to the total volume, and all containers corresponding to the set task set are transported to the delivery site by the transport vehicle corresponding to the at least one second identifier. Specifically, in practical applications, it can be determined according to the total volume V _jk and the transport volume VC _u corresponding to the vehicle model u which transport vehicles transport all containers corresponding to the set task set, that is, at least one second identifier is determined.

The specific process includes:

When V _jk is greater than or equal to the transportation volume of the transportation vehicle with the largest transportation volume (vehicle model is max), the following judgments are made:

If V _jk -wVC _max ≥VC _max , record w+1 transport vehicles with vehicle model max; if V _jk -wVC _max <VC _max , then judge VC _x <(V _jk -wVC _max )<VC _{x+ 1} , then record 1 transport vehicle with vehicle model x+1. Among them, x ∈ (1, 2, 3, ..., max), with the increase of the vehicle model number, the transportation volume of the corresponding transportation vehicle increases sequentially, and the transportation volume of the transportation vehicle of the same vehicle model is the same. In this way, w+1 transport vehicles with vehicle model max and 1 transport vehicle with vehicle model x+1 are cumulatively selected.

If V _jk is less than or equal to the transportation volume of the transportation vehicle with the smallest transportation volume (vehicle model 1), then one transportation vehicle with vehicle model 1 will be selected cumulatively.

If V _jk is greater than the transport volume of the transport vehicle with the smallest transport volume (vehicle type 1) and smaller than the transport volume of the transport vehicle with the largest transport volume (vehicle type max), judge VC _x <V _jk <VC _x+1 , then a total of 1 transport vehicle with vehicle model x+1 is selected.

After the required vehicle model is obtained, since the vehicle volume of each vehicle model is known, each second identifier corresponds to a vehicle volume, and one vehicle volume may correspond to multiple second identifiers. A corresponding second identifier is determined according to the vehicle volume, and a required number of second identifiers are selected from the determined second identifiers as at least one second identifier corresponding to the total volume according to the number of required vehicle models. Here, when selecting the required number of second identifiers from the determined second identifiers, it is necessary to exclude the second identifiers that have been selected by other task sets, and select the required number of second identifiers from the remaining second identifiers , for example, can be chosen randomly.

Based on the above method, at least one second identifier corresponding to the total volume can be determined.

S104: Establish an association relationship between all the determined first identifiers and the at least one second identifier, so as to assign a corresponding transport vehicle to all the containers corresponding to the set task set based on the association relationship.

An association relationship is established between all the determined first identifiers and at least one second identifier, so that corresponding transport vehicles can be allocated to all containers corresponding to the set task set directly according to the above-mentioned association relationship.

After the containers are placed in the transport vehicle, record which containers are placed in each transport vehicle, and record the corresponding relationship between the picking task, the first identification and the second identification, so that the corresponding relationship can be directly queried according to the picking task. Which container the delivery package is in, and which transport vehicle is transporting the delivery package.

The embodiment of the present invention determines the total volume of all containers corresponding to the set task set by associating each picking task in the set task set with the corresponding first identifier respectively, and based on all the determined first identifiers. At least one second identifier is determined based on the total volume, and an association relationship is established between all the determined first identifiers and the at least one second identifier, so as to assign a corresponding transport vehicle to all containers corresponding to the set task set based on the association relationship. Wherein, the first identifier represents a container for placing the delivery package corresponding to the picking task, all picking tasks in the task set are set to correspond to the same delivery site, and each second identifier in the at least one second identifier represents a vehicle A transport vehicle for transporting all or part of said total containers. In the embodiment of the present invention, the delivery package corresponding to each picking task is put into the container corresponding to the delivery site in the warehouse, thereby avoiding the problem of time-consuming delivery of the package through the sorting center. And establish the association relationship between the container and the transport vehicle. According to the association relationship, the container can be directly loaded into the corresponding transport vehicle, which shortens the delivery time of the distribution package, improves the processing efficiency of the picking task, and shortens the processing of customer orders. aging.

In practical applications, recyclable containers can be used in each transportation link of logistics, and containers can be managed at the same time. For example, the transportation status of containers in the warehouse needs to be recorded. At the same time, it is also necessary to predict the demand of containers in the warehouse for a period of time in the future, and replenish containers in time. Inventory to ensure balanced container demand.

Referring to FIG. 2, in one embodiment, the method for processing sorting container information further includes:

S201: Determine at least one node associated with the first container; one node in the at least one node represents a distribution site that receives or delivers the first container; the first container is the at least one A container in any one of the nodes.

Here, one of the at least one nodes represents a delivery site that receives or delivers the first container, and the delivery site includes a delivery warehouse, a delivery warehouse, and a transit site for the first container. For example, if the first container is sent from the first warehouse to the first distribution site, the at least one node associated with the first container includes the first warehouse and the first distribution site.

S202, when any one of the at least one node receives or delivers the first container, modify the inventory information of the first container in the at least one node; the inventory information at least represents The shipping state of the first container.

When any one of the at least one node receives or delivers the first container, the inventory information of the first container in the at least one node is modified. For example, at least one node associated with the first container includes a first warehouse and a first distribution site. After the warehouse ships the first container, the inventory information of the first container in the warehouse is modified to a status of outgoing in transit, and outgoing is in transit. The state characterizes the process of the first container being dispatched from the warehouse to the distribution site. At the same time, the inventory information of the first container in the delivery site is modified to a state of being in transit, and the state of being in transit indicates that the first container is on the way from the warehouse to the distribution site.

In practical applications, the transportation status of the containers in the warehouse can include "maintenance in the warehouse", "normal in the warehouse", "out of the warehouse in transit", "in transit" and "discarded state", etc. The normal state in the warehouse indicates that the warehouse is in the warehouse. Containers that can be used normally in the warehouse; maintenance in the warehouse indicates that the corresponding container in the warehouse is damaged, etc.; the in-transit status of the container means that after the container is shipped from the upstream node, the upstream node is marked as in-transit status, indicating that the corresponding container is in the in-transit state. On the way from the upstream node to the downstream node; the in-transit state means that after the upstream node is shipped, the downstream node is marked as in-transit state, indicating that the corresponding container is on the way from the upstream node to the downstream node; the scrapped state indicates the warehouse The corresponding container in cannot be used.

For example, the upstream node can be a warehouse, and the downstream node can be a distribution site. After the container is shipped from the upstream node, 1 inventory is added to the inventory category "outbound" of the upstream node, and then 1 inventory is added to the inventory category of the downstream node to be in transit. After the downstream inspection, the in-transit inventory of the upstream node and the in-transit inventory of the downstream node are reduced by 1, the normal inventory of the upstream node is reduced by 1, and the normal inventory of the downstream node is increased by 1.

According to the above scheme, the container management in each link of the logistics can not only know the transportation status of the container, but also realize the recycling of the container, save the logistics cost, and avoid the loss of the container.

Referring to FIG. 3, in one embodiment, the method for processing sorting container information further includes:

S301. Determine a first predicted value of the number of picking tasks received by at least one node in the at least one node within a second time period.

Here, at least one node mainly targets each delivery warehouse under the e-commerce platform, and the second time period is a certain time period in the future, such as determining the first predicted value of the number of first picking tasks received by the Central China Warehouse tomorrow.

Specifically, the number of picking tasks received by the node in a certain time period in the future can be predicted according to the historical data of the node. For example, if it is necessary to predict the number of picking tasks received by the first node on an upcoming promotional holiday, the prediction can be made based on the number of picking tasks received by the first node on the promotional holiday last year and/or the previous year. For example, the number of picking tasks received by the first node on historical promotional festivals can be weighted and calculated, and the calculated value can be used as the first predicted value of the number of first picking tasks received by the first node on upcoming promotional festivals .

S302: Determine a second predicted value of the total volume of all containers corresponding to the first predicted value.

A second predicted value of the total volume of all containers corresponding to the first predicted value is determined based on the number of second picking tasks received in at least one third time period and the total volume of all containers corresponding to the first predicted value.

Here, the third time period is a historical time period. According to the number of second picking tasks received in multiple third time periods and the total volume of all corresponding containers, the corresponding relationship between the total volume and the number of picking tasks can be obtained, which corresponds to The relationship is a linear function, and a second predicted value of the total volume of all containers corresponding to the first predicted value can be determined according to the corresponding relationship.

Specifically, in an embodiment, the corresponding relationship between the total volume and the number of picking tasks can be represented by an objective function:

Y _tk = mX _tk +n

Among them, k represents the identity of the warehouse, Y _tk represents the total volume of all containers corresponding to the predicted day t (the second predicted value); X _tk represents the number of all picking tasks predicted on the t day (the first predicted value) ; m, n are the regression parameters of the above objective function, respectively.

Combined with the least squares method to solve the regression parameters, the objective function is obtained as follows:

表示第s天(历史数据)对应的全部容器的总体积，X_sk表示第s天(历史数据)的第二拣货任务数量。in,

represents the total volume of all containers corresponding to the s-th day (historical data), and X _sk represents the number of second picking tasks on the s-th day (historical data).

After solving the function we get:

代表第1-S天内(历史数据)的第二拣货任务数量的平均值；

代表第1-S天对应的(历史数据)全部容器的总体积的平均值。in,

Represents the average number of second picking tasks in days 1-S (historical data);

Represents the average of the total volume of all containers corresponding to days 1-S (historical data).

Through the above objective function, the second predicted value of the total volume of all containers corresponding to the first predicted value can be calculated.

S303. Based on the second predicted value, determine a first number of containers required for the first predicted value.

After the second predicted value is obtained, according to the second predicted value, it can be predicted how many containers are needed to place the delivery package corresponding to the first predicted value. Specifically, the first number of containers required for the first predicted value may be determined according to the volume of each container and the second predicted value.

In one embodiment, the determining, based on the second predicted value, the first number of containers required for the first predicted value includes:

The first quantity is determined based on the second predicted value, a first coefficient and a first volume; the first coefficient is characterized as the ratio of the total volume of all delivery packages placed in the container to the first volume; the The volume of each container of the first volume, where the volume of all containers is the same, is V ₀ .

In practical applications, the first quantity can be determined according to the following objective function:

表示截止第t天为止第一系数的平均值，P_tk表示第t天的第一系数，∑_iV_itk表示第t天对应的总体积，V₀表示容器的容积。where N _tk represents the first number of containers required for the predicted day t,

represents the average value of the first coefficient up to the t day, P _tk represents the first coefficient of the t day, Σ _i V _itk represents the total volume corresponding to the t day, and V ₀ represents the volume of the container.

Based on the above objective function, a first number of containers required for the first predicted value can be calculated.

Referring to FIG. 4, in the above embodiment, the sorting container information processing method further includes:

S401. Determine a second quantity; the second quantity represents the inventory quantity of the container in the corresponding node.

Obtain the second quantity of the container in the corresponding node, that is, the inventory quantity of the container.

S402, when the second quantity is less than the first quantity, send early warning information; the early warning information is used to prompt the corresponding node to replenish the stock quantity of the container based on the first quantity.

Combined with the predicted first quantity of containers, determine whether the inventory quantity of containers in the corresponding node can meet the transportation requirements, and if the second quantity is less than the first quantity, send early warning information to prompt the corresponding node based on the first quantity Replenishes the stock quantity of the container. For example, containers can be allocated from other nodes, or a new batch of containers can be purchased.

Predicting the demand quantity of the containers of the node in advance can replenish the stock quantity of the containers in the corresponding node in time, avoiding the impact on the processing time of customer orders due to insufficient container stock quantity, and also controlling the stock quantity of the containers in the node, reducing the Warehouse logistics costs.

5 is a schematic diagram of the implementation flow of a sorting container information processing method provided by an embodiment of the present invention. The execution subject of the sorting container information processing method is an electronic device, and the electronic device includes a desktop computer, a notebook computer, and a server. Referring to Figure 5, the sorting container information processing method includes:

S501. Determine at least one node associated with the first container; one node in the at least one node represents a distribution site that receives or delivers the first container; the first container is the at least one A container in any one of the nodes; the container is used to place the delivery package corresponding to the picking task.

Here, one of the at least one nodes represents a delivery site that receives or delivers the first container, and the delivery site includes a delivery warehouse, a delivery warehouse, and a transit site for the first container. For example, if the first container is sent from the first warehouse to the first distribution site, the at least one node associated with the first container includes the first warehouse and the first distribution site.

S502, when any one of the at least one node receives or delivers the first container, modify the inventory information of the first container in the at least one node; the inventory information at least represents The shipping state of the first container.

When any one of the at least one node receives or delivers the first container, the inventory information of the first container in the at least one node is modified. For example, at least one node associated with the first container includes a first warehouse and a first distribution site. After the warehouse ships the first container, the inventory information of the first container in the warehouse is modified to a status of outgoing in transit, and outgoing is in transit. The state characterizes the process of the first container being dispatched from the warehouse to the distribution site. At the same time, the inventory information of the first container in the delivery site is modified to a state of being in transit, and the state of being in transit indicates that the first container is on the way from the warehouse to the distribution site.

Referring to FIG. 6, in one embodiment, the method for processing sorting container information further includes:

S601: Determine a first predicted value of the number of picking tasks received by at least one node in the at least one node within a second time period.

Here, at least one node mainly targets each delivery warehouse under the e-commerce platform, and the second time period is a certain time period in the future, such as determining the first predicted value of the number of first picking tasks received by the Central China Warehouse tomorrow.

Specifically, the number of picking tasks received by the node in a certain time period in the future can be predicted according to the historical data of the node. For example, if it is necessary to predict the number of picking tasks received by the first node on an upcoming promotional holiday, the prediction can be made based on the number of picking tasks received by the first node on the promotional holiday last year and/or the previous year. For example, the number of picking tasks received by the first node on historical promotional festivals can be weighted and calculated, and the calculated value can be used as the first predicted value of the number of first picking tasks received by the first node on upcoming promotional festivals .

S602: Determine a second predicted value of the total volume of all containers corresponding to the first predicted value.

A second predicted value of the total volume of all containers corresponding to the first predicted value is determined based on the number of second picking tasks received in at least one third time period and the total volume of all containers corresponding to the first predicted value.

Here, the third time period is a historical time period. According to the number of second picking tasks received in multiple third time periods and the total volume of all corresponding containers, the corresponding relationship between the total volume and the number of picking tasks can be obtained, which corresponds to The relationship is a linear function, and a second predicted value of the total volume of all containers corresponding to the first predicted value can be determined according to the corresponding relationship.

Specifically, in an embodiment, the corresponding relationship between the total volume and the number of picking tasks can be represented by an objective function:

Y _tk = mX _tk +n

Among them, k represents the identity of the warehouse, Y _tk represents the total volume of all containers corresponding to the predicted day t (the second predicted value); X _tk represents the number of all picking tasks predicted on the t day (the first predicted value) ; m, n are the regression parameters of the above objective function, respectively.

Combined with the least squares method to solve the regression parameters, the objective function is obtained as follows:

表示第s天(历史数据)对应的全部容器的总体积，X_sk表示第s天(历史数据)的第二拣货任务数量。in,

represents the total volume of all containers corresponding to the s-th day (historical data), and X _sk represents the number of second picking tasks on the s-th day (historical data).

After solving the function we get:

代表第1-S天内(历史数据)的第二拣货任务数量的平均值；

代表第1-S天对应的(历史数据)全部容器的总体积的平均值。in,

Represents the average number of second picking tasks in days 1-S (historical data);

Represents the average of the total volume of all containers corresponding to days 1-S (historical data).

Through the above objective function, the second predicted value of the total volume of all containers corresponding to the first predicted value can be calculated.

S603, based on the second predicted value, determine a first number of containers required for the first predicted value.

After the second predicted value is obtained, according to the second predicted value, it can be predicted how many containers are needed to place the delivery package corresponding to the first predicted value. Specifically, the first number of containers required for the first predicted value may be determined according to the volume of each container and the second predicted value.

In one embodiment, the determining, based on the second predicted value, the first number of containers required for the first predicted value includes:

The first quantity is determined based on the second predicted value, a first coefficient and a first volume; the first coefficient is characterized as the ratio of the total volume of all delivery packages placed in the container to the first volume; the The volume of each container of the first volume, where the volume of all containers is the same, is V ₀ .

In practical applications, the first quantity can be determined according to the following objective function:

表示截止第t天为止第一系数的平均值，P_tk表示第t天的第一系数，∑_iV_itk表示第t天对应的总体积，V₀表示容器的容积。where N _tk represents the first number of containers required for the predicted day t,

represents the average value of the first coefficient up to the t day, P _tk represents the first coefficient of the t day, Σ _i V _itk represents the total volume corresponding to the t day, and V ₀ represents the volume of the container.

Based on the above objective function, a first number of containers required for the first predicted value can be calculated.

Referring to FIG. 7 , in one embodiment, the method for processing sorting container information further includes:

S701. Determine a second quantity; the second quantity represents the inventory quantity of the container in the corresponding node.

Obtain the second quantity of the container in the corresponding node, that is, the inventory quantity of the container.

S702, when the second quantity is less than the first quantity, send early warning information; the early warning information is used to prompt the corresponding node to replenish the inventory quantity of the container based on the first quantity.

Combined with the predicted first quantity of containers, determine whether the inventory quantity of containers in the corresponding node can meet the transportation requirements, and if the second quantity is less than the first quantity, send early warning information to prompt the corresponding node based on the first quantity Replenishes the stock quantity of the container. For example, containers can be allocated from other nodes, or a new batch of containers can be purchased.

Predicting the demand quantity of the containers of the node in advance can replenish the stock quantity of the containers in the corresponding node in time, avoiding the impact on the processing time of customer orders due to insufficient container stock quantity, and also controlling the stock quantity of the containers in the node, reducing the Warehouse logistics costs.

Referring to FIG. 8, FIG. 8 is a schematic flowchart of sorting container information processing provided by an application embodiment of the present invention. The sorting container information processing flow includes:

First, according to the receiving address corresponding to the picking task, the picking task is divided according to the delivery site, and the picking tasks of the same delivery site are divided into the same task set. In this way, at least one task set can be obtained, and the task set is set as a task set in the at least one task set. Then, the picking operator picks out the order items from the same delivery site, and hands it to the packing operator for packing, obtaining the delivery package, and measuring and marking the volume of the delivery package. The packing operator puts the delivery package into at least one container according to the delivery site, the delivery packages in one container are all from the same delivery site, and the association relationship between the first identifier of the container and the picking task corresponding to the delivery package in the container is recorded. Encapsulate the container containing the delivery package and put it into the automatic sorting device. The automatic sorting device determines the total volume of all the containers corresponding to the set task set based on all the determined first identifiers, and determines at least one second identifier based on the total volume. , establishing an association relationship between all the determined first identifiers and at least one second identifier. Based on the association relationship, the automatic sorting equipment sorts all the containers corresponding to the set task set to the corresponding transport vehicles.

Referring to FIG. 9, FIG. 9 is a schematic flowchart of sorting container information processing provided by an application embodiment of the present invention. The sorting container information processing flow includes:

S901: Divide all picking tasks according to delivery sites to obtain at least one task set.

Picking tasks in the same task set correspond to the same distribution sites.

S902, select the commodities corresponding to the picking task according to the task set.

For example, for the set task set, the commodities corresponding to the picking tasks in the set task set are selected.

S903, pack the selected commodities and measure the volume.

Pack the goods, pack the goods in courier bags or courier boxes to get delivery packages, and measure the volume of the packaged delivery packages.

S904, associate the picking task with the first identifier of the container.

Each picking task in the set task set is respectively associated with a corresponding first identifier; the first identifier represents a container for placing the delivery package corresponding to the picking task.

S905, put the delivery package into the associated container.

Put delivery packages into associated containers. When there are many delivery packages, one container may not be able to hold all delivery packages corresponding to the set task set. The application example of the present invention starts from the first container to load the delivery package, and uses the second container to load the delivery package after the first container is full, until all delivery packages corresponding to the set task set are loaded into the container . In this way, it may happen that the last container cannot be filled, and at this time, no delivery package is put into the container, and the container is packaged, so that the delivery packages in the same container all correspond to the same delivery site.

S906, the container is packaged.

S907: Determine the total volume of all containers corresponding to the set task set.

S908, at least one second identifier is determined based on the total volume.

Each of the at least one second indicia represents a transport vehicle for transporting all or a portion of the total containers.

S909: Establish an association relationship between all the determined first identifiers and at least one second identifier.

S910, all containers corresponding to the set task set are allocated to corresponding transport vehicles based on the association relationship.

The application embodiment of the present invention directly puts the delivery package corresponding to each picking task into the container corresponding to the delivery site in the warehouse, thereby avoiding the problem of time-consuming delivery of the package through the sorting center. And establish the association relationship between the container and the transport vehicle. According to the association relationship, the container can be directly loaded into the corresponding transport vehicle, which shortens the delivery time of the distribution package, improves the processing efficiency of the picking task, and shortens the processing of customer orders. aging.

It should be understood that the size of the sequence numbers of the steps in the above embodiments does not mean the sequence of execution, and the execution sequence of each process should be determined by its functions and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.

It is to be understood that, when used in this specification and the appended claims, the terms "comprising" and "comprising" indicate the presence of the described features, integers, steps, operations, elements and/or components, but do not exclude one or The presence or addition of a number of other features, integers, steps, operations, elements, components, and/or sets thereof.

It should be noted that, the technical solutions described in the embodiments of the present invention may be combined arbitrarily if there is no conflict.

In addition, in the embodiments of the present invention, "first", "second", etc. are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence.

Referring to FIG. 10, FIG. 10 is a schematic diagram of a sorting container information processing device provided by an embodiment of the present invention. As shown in FIG. 10, the device includes: a first association module, a first determination module, a second determination module, and a first Two associated modules.

The first association module is used to associate each picking task in the set task set with a corresponding first identifier; the first identifier represents a container for placing the delivery package corresponding to the picking task; the setting task All centralized picking tasks correspond to the same distribution site;

a first determination module, configured to determine the total volume of all containers corresponding to the set task set based on all the determined first identifiers;

A second determination module, configured to determine at least one second identifier based on the total volume; each of the at least one second identifier represents a vehicle for transporting all or part of the total containers. transport vehicle;

A second association module, configured to establish an association relationship between all the determined first identifiers and the at least one second identifier, so as to assign corresponding transportation to all containers corresponding to the set task set based on the association relationship vehicle.

The first determining module is specifically used for:

The total volume is determined based on the first volume, the second volume of the delivery package corresponding to each picking task in the set task set, the number of the total containers, and the first coefficient of each of the total containers ; the first volume characterizes the volume of each of the total containers; the first coefficient characterizes the ratio of the total volume of all delivery packages placed in the container to the first volume.

The device also includes:

A division module, configured to divide all the picking tasks received in the first period of time based on the distribution site to obtain at least one task set; the set task set is the at least one task Any set of tasks in the set.

The device also includes:

A node determination module, configured to determine at least one node associated with the first container; one node in the at least one node represents a distribution site that receives or delivers the first container; the first container is a container in any one of the at least one node;

an inventory modification module, configured to modify the inventory information of the first container in the at least one node when any one of the at least one node receives or ships the first container; the The inventory information characterizes at least the shipping status of the first container.

The device also includes:

a first prediction module, configured to determine a first predicted value of the number of picking tasks received by at least one of the at least one node within the second time period;

a second prediction module, configured to determine a second predicted value of the total volume of all containers corresponding to the first predicted value;

A third prediction module, configured to determine, based on the second predicted value, a first number of containers required for the first predicted value.

The device also includes:

an inventory determination module, configured to determine a second quantity; the second quantity represents the inventory quantity of the container in the corresponding node;

A sending module, configured to send early warning information when the second quantity is less than the first quantity; the early warning information is used to prompt the corresponding node to replenish the stock quantity of the container based on the first quantity.

Referring to FIG. 11 , FIG. 11 is a schematic diagram of a sorting container information processing apparatus provided by an embodiment of the present invention. As shown in FIG. 11 , the apparatus includes: a third determining module and a modifying module.

a third determination module, configured to determine at least one node associated with the first container; one of the at least one node represents a distribution site that receives or ships the first container; the first container is a container in any one of the at least one node; the container is used to place the delivery package corresponding to the picking task;

a modification module, configured to modify the inventory information of the first container in the at least one node when any one of the at least one node receives or delivers the first container; the inventory The information characterizes at least the shipping status of the first container.

In practical application, the first association module, the first determination module, the second determination module and the second association module may be processed by a processor in an electronic device, such as a central processing unit (CPU, Central Processing Unit), a digital signal processor (DSP, Digital Signal Processor), Microcontroller Unit (MCU, Microcontroller Unit) or Programmable Gate Array (FPGA, Field-Programmable Gate Array) etc.

It should be noted that: when the sorting container information processing device provided in the above embodiment performs sorting container information processing, only the division of the above modules is used as an example for illustration. The module is completed, that is, the internal structure of the device is divided into different modules, so as to complete all or part of the above-described processing. In addition, the sorting container information processing apparatus provided in the above embodiments and the sorting container information processing method embodiments belong to the same concept, and the specific implementation process thereof is detailed in the method embodiments, which will not be repeated here.

Based on the hardware implementation of the above program modules, and in order to implement the method of the embodiment of the present application, the embodiment of the present application further provides an electronic device. FIG. 12 is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the present application. As shown in FIG. 12 , the electronic device includes:

Communication interface, which can exchange information with other devices such as network devices;

The processor is connected to the communication interface to realize information interaction with other devices, and is used to execute the method provided by one or more technical solutions on the electronic device side when running the computer program. And the computer program is stored on the memory.

Of course, in practical applications, various components in an electronic device are coupled together through a bus system. It can be understood that the bus system is used to realize the connection communication between these components. In addition to the data bus, the bus system also includes a power bus, a control bus and a status signal bus. However, for the sake of clarity, the various buses are labeled as bus systems in FIG. 12 .

The memory in the embodiment of the present application is used to store various types of data to support the operation of the electronic device. Examples of such data include: any computer program used to operate on an electronic device.

It will be appreciated that the memory may be either volatile memory or non-volatile memory, and may include both volatile and non-volatile memory. Among them, the non-volatile memory may be a read-only memory (ROM, Read Only Memory), a programmable read-only memory (PROM, Programmable Read-Only Memory), an erasable programmable read-only memory (EPROM, Erasable Programmable Read-only memory) Only Memory), Electrically Erasable Programmable Read-Only Memory (EEPROM, Electrically Erasable Programmable Read-Only Memory), Magnetic Random Access Memory (FRAM, ferromagnetic random access memory), Flash Memory (Flash Memory), Magnetic Surface Memory , CD-ROM, or Compact Disc Read-Only Memory (CD-ROM, Compact Disc Read-Only Memory); the magnetic surface memory can be a magnetic disk memory or a tape memory. The volatile memory may be Random Access Memory (RAM), which is used as an external cache memory. By way of example and not limitation, many forms of RAM are available, such as Static Random Access Memory (SRAM), Synchronous Static Random Access Memory (SSRAM), Dynamic Random Access Memory Memory (DRAM, Dynamic Random Access Memory), Synchronous Dynamic Random Access Memory (SDRAM, SynchronousDynamic Random Access Memory), Double Data Rate Synchronous Dynamic Random Access Memory (DDRSDRAM, Double Data Rate Synchronous Dynamic Random Access Memory), Enhanced Synchronous Dynamic Random Access Memory (ESDRAM, Enhanced Synchronous Dynamic Random Access Memory), Synchronous Link Dynamic Random Access Memory (SLDRAM, SyncLink Dynamic Random Access Memory), Direct Memory Bus Random Access Memory (DRRAM, Direct Rambus Random Access Memory) . The memory 130 described in the embodiments of the present application is intended to include, but not limited to, these and any other suitable types of memory.

The methods disclosed in the above embodiments of the present application may be applied to a processor, or implemented by a processor. A processor may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above-mentioned method can be completed by a hardware integrated logic circuit in a processor or an instruction in the form of software. The above-mentioned processors may be general-purpose processors, DSPs, or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, and the like. The processor may implement or execute the methods, steps, and logical block diagrams disclosed in the embodiments of this application. A general purpose processor may be a microprocessor or any conventional processor or the like. The steps of the method disclosed in the embodiments of the present application can be directly embodied as being executed by a hardware decoding processor, or executed by a combination of hardware and software modules in the decoding processor. The software module may be located in a storage medium, the storage medium is located in a memory, and the processor reads the program in the memory, and completes the steps of the foregoing method in combination with its hardware.

Optionally, when the processor executes the program, the corresponding processes implemented by the electronic device in each method of the embodiments of the present application are implemented, which is not repeated here for brevity.

In an exemplary embodiment, an embodiment of the present application further provides a storage medium, that is, a computer storage medium, specifically a computer-readable storage medium, for example, including a first memory storing a computer program, and the above-mentioned computer program can be processed by an electronic device to complete the steps of the aforementioned method. The computer-readable storage medium may be memory such as FRAM, ROM, PROM, EPROM, EEPROM, Flash Memory, magnetic surface memory, optical disk, or CD-ROM.

In the several embodiments provided in this application, it should be understood that the disclosed apparatus, electronic device and method may be implemented in other manners. The device embodiments described above are only illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components may be combined, or Can be integrated into another system, or some features can be ignored, or not implemented. In addition, the coupling, or direct coupling, or communication connection between the components shown or discussed may be through some interfaces, and the indirect coupling or communication connection of devices or units may be electrical, mechanical or other forms. of.

The unit described above as a separate component may or may not be physically separated, and the component displayed as a unit may or may not be a physical unit, that is, it may be located in one place or distributed to multiple network units; Some or all of the units may be selected according to actual needs to achieve the purpose of the solution in this embodiment.

In addition, each functional unit in each embodiment of the present application may all be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above integration The unit can be implemented either in the form of hardware or in the form of hardware plus software functional units.

Those of ordinary skill in the art can understand that all or part of the steps of implementing the above method embodiments can be completed by program instructions related to hardware, the aforementioned program can be stored in a computer-readable storage medium, and when the program is executed, execute It includes the steps of the above method embodiments; and the aforementioned storage medium includes: a removable storage device, a ROM, a RAM, a magnetic disk or an optical disk and other media that can store program codes.

Alternatively, if the above-mentioned integrated units of the present application are implemented in the form of software function modules and sold or used as independent products, they may also be stored in a computer-readable storage medium. Based on such understanding, the technical solutions of the embodiments of the present application can be embodied in the form of software products in essence or in the parts that make contributions to the prior art. The computer software products are stored in a storage medium and include several instructions for A computer device (which may be a personal computer, a server, or a network device, etc.) is caused to execute all or part of the methods described in the various embodiments of the present application. The aforementioned storage medium includes: a removable storage device, a ROM, a RAM, a magnetic disk or an optical disk and other mediums that can store program codes.

It should be noted that the technical solutions described in the embodiments of the present application may be combined arbitrarily unless there is a conflict.

In addition, in the examples of the present application, "first", "second", etc. are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence.

The above are only specific embodiments of the present application, but the protection scope of the present application is not limited to this. should be covered within the scope of protection of this application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims (13)

1. A sorting container information processing method, wherein the method comprises: Associate each picking task in the set task set with a corresponding first identifier; the first identifier represents a container for placing the delivery package corresponding to the picking task; all picking tasks in the set task set correspond to the same delivery site; determining the total volume of all containers corresponding to the set task set based on all the determined first identifiers; determining at least one second identification based on the total volume; each second identification of the at least one second identification representing a transport vehicle for transporting all or a portion of the total container; An association relationship is established between all the determined first identifiers and the at least one second identifier, so as to allocate a corresponding transport vehicle to all the containers corresponding to the set task set based on the association relationship. 2 . The method according to claim 1 , wherein the determining, based on all the determined first identifiers, the total volume of all containers corresponding to the set task set comprises: 2 . The total volume is determined based on the first volume, the second volume of the delivery package corresponding to each picking task in the set task set, the number of the total containers, and the first coefficient of each of the total containers ; the first volume characterizes the volume of each of the total containers; the first coefficient characterizes the ratio of the total volume of all delivery packages placed in the container to the first volume. 3. The method according to claim 1, wherein the method further comprises: For all picking tasks received within the first period, all picking tasks are divided based on the delivery site to obtain at least one task set; the set task set is any one task in the at least one task set set. 4. The method according to claim 1, wherein the method further comprises: Determine at least one node associated with the first container; one node in the at least one node represents a distribution site that receives or ships the first container; the first container is one of the at least one node A container in any node of ; When any one of the at least one node receives or delivers the first container, modify the inventory information of the first container in the at least one node; the inventory information at least characterizes the The shipping status of the first container. 5. The method according to claim 4, wherein the method further comprises: determining a first predicted value of the number of picking tasks received by at least one of the at least one node during the second time period; determining a second predicted value of the total volume of all containers corresponding to the first predicted value; Based on the second predicted value, a first number of containers required for the first predicted value is determined. 6. The method according to claim 5, wherein the method further comprises: determining a second quantity; the second quantity represents the inventory quantity of the container in the corresponding node; When the second quantity is less than the first quantity, early warning information is sent; the early warning information is used to prompt the corresponding node to replenish the stock quantity of the container based on the first quantity. 7. A sorting container information processing method, comprising: Determine at least one node associated with the first container; one node in the at least one node represents a distribution site that receives or ships the first container; the first container is one of the at least one node A container in any node of ; the container is used to place the delivery package corresponding to the picking task; When any one of the at least one node receives or delivers the first container, modify the inventory information of the first container in the at least one node; the inventory information at least characterizes the The shipping status of the first container. 8. The method according to claim 7, wherein the method further comprises: determining a first predicted value of the number of picking tasks received by at least one of the at least one node during the second time period; determining a second predicted value of the total volume of all containers corresponding to the first predicted value; Based on the second predicted value, a first number of containers required for the first predicted value is determined. 9. The method according to claim 8, wherein the method further comprises: determining a second quantity; the second quantity represents the inventory quantity of the container in the corresponding node; When the second quantity is less than the first quantity, early warning information is sent; the early warning information is used to prompt the corresponding node to replenish the stock quantity of the container based on the first quantity. 10. A sorting container information processing device, comprising: The first association module is used to associate each picking task in the set task set with a corresponding first identifier; the first identifier represents a container for placing the delivery package corresponding to the picking task; the setting task All centralized picking tasks correspond to the same distribution site; a first determination module, configured to determine the total volume of all containers corresponding to the set task set based on all the determined first identifiers; A second determination module, configured to determine at least one second identifier based on the total volume; each of the at least one second identifier represents a vehicle for transporting all or part of the total containers. transport vehicle; A second association module, configured to establish an association relationship between all the determined first identifiers and the at least one second identifier, so as to assign corresponding transportation to all containers corresponding to the set task set based on the association relationship vehicle. 11. A sorting container information processing device, comprising: a third determination module, configured to determine at least one node associated with the first container; one of the at least one node represents a distribution site that receives or ships the first container; the first container is a container in any one of the at least one node; the container is used to place the delivery package corresponding to the picking task; a modification module, configured to modify the inventory information of the first container in the at least one node when any one of the at least one node receives or delivers the first container; the inventory The information characterizes at least the shipping status of the first container. 12. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the computer program as claimed in the claims The sorting container information processing method according to any one of 1 to 6 or the sorting container information processing method according to any one of claims 7 to 9. 13. A computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, the computer program comprising program instructions that, when executed by a processor, cause the processor to execute The sorting container information processing method according to any one of claims 1 to 6 or the sorting container information processing method according to any one of claims 7 to 9.

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