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

Sorting container information processing method and device, electronic equipment and storage medium Download PDF

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CN112633794A
CN112633794A CN202011496199.3A CN202011496199A CN112633794A CN 112633794 A CN112633794 A CN 112633794A CN 202011496199 A CN202011496199 A CN 202011496199A CN 112633794 A CN112633794 A CN 112633794A
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杨文祥
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Beijing Jingdong Zhenshi Information Technology Co Ltd
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Abstract

The embodiment of the invention is suitable for the technical field of logistics and provides a sorting container information processing method, a sorting container information processing device, electronic equipment and a storage medium, wherein the sorting container information processing method comprises the following steps: associating each picking task in the set task set with a corresponding first identifier respectively; the first identification represents a container for placing a delivery package corresponding to the picking task; setting all picking tasks in the task set to correspond to the same delivery station; determining the total volume of all containers corresponding to the set task set based on all the determined first identifications; determining at least one second indicator based on the total volume; each of the at least one second identifier characterizes a transport vehicle for transporting all or part of the total number of containers; and establishing an association relation between all the determined first identifications and at least one second identification so as to allocate corresponding transport vehicles to all containers corresponding to the set task set based on the association relation.

Description

Sorting container information processing method and device, electronic equipment and storage medium
Technical Field
The invention relates to the technical field of logistics, in particular to a sorting container information processing method and device, electronic equipment and a storage medium.
Background
In the related art, when the picking task is processed, the sorting center allocates the packages related to the picking task to the distribution station according to the distribution address. In the related art, when the number of picking tasks is increased sharply, the problem that the picking tasks are not processed timely exists, and the processing timeliness of customer orders is influenced.
Disclosure of Invention
In order to solve the above problems, embodiments of the present invention provide a sorting container information processing method, apparatus, electronic device and storage medium, so as to at least solve the problem in the related art that the sorting task cannot be processed in time when the number of the picking tasks increases dramatically.
The technical scheme of the invention is realized as follows:
in a first aspect, an embodiment of the present invention provides a sorting container information processing method, where the method includes:
associating each picking task in the set task set with a corresponding first identifier respectively; the first identification represents a container for placing a delivery package corresponding to the picking task; all picking tasks in the set task set correspond to the same delivery station;
determining the total volume of all containers corresponding to the set task set based on all the determined first identifications;
determining at least one second indicator based on the total volume; each second identifier of the at least one second identifier characterizes a transport vehicle for transporting all or part of the total containers;
and establishing an association relation between all the determined first identifications and the at least one second identification so as to allocate corresponding transport vehicles to all containers corresponding to the set task set based on the association relation.
In the foregoing solution, the determining the total volume of all containers corresponding to the set task set based on all the determined first identifiers includes:
determining the total volume based on the first volume, a second volume of delivery packages corresponding to each picking task in the set of tasks, the number of the total containers, and a first factor for each of the total containers; the first volume represents a volume of each of the total number of containers; the first factor is characterized as a ratio of a total volume of all distribution packages placed within the container to the first volume.
In the above scheme, the method further comprises:
for all picking tasks received in a first period, dividing all picking tasks based on distribution stations to obtain at least one task set; the set task set is any one of the at least one task set.
In the above scheme, the method further comprises:
determining at least one node associated with the first container; one of the at least one node characterizes a delivery site for receiving or delivering the first container; the first container is a container in any one of the at least one node;
modifying inventory information of the first container in the at least one node when the first container is received or shipped by any one of the at least one node; the inventory information characterizes at least a transport state of the first container.
In the above scheme, the method further comprises:
determining a first predicted value of the number of picking tasks received by at least one node of the at least one node within a second time period;
determining a second predicted value of the total volume of all the containers corresponding to the first predicted value;
based on the second predictive value, a first number of containers required by the first predictive value is determined.
In the above scheme, the method further comprises:
determining a second quantity; the second quantity characterizes the inventory quantity of the containers in the corresponding node;
sending early warning information under the condition that the second quantity is smaller than the first quantity; the early warning information is used for prompting the corresponding node to supplement the inventory 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, including:
determining at least one node associated with the first container; one of the at least one node characterizes a delivery site for receiving or delivering the first container; the first container is a container in any one of the at least one node; the container is used for placing distribution packages corresponding to the picking tasks;
modifying inventory information of the first container in the at least one node when the first container is received or shipped by any one of the at least one node; the inventory information characterizes at least a transport state of the first container.
In the above scheme, the method further comprises:
determining a first predicted value of the number of picking tasks received by at least one node of the at least one node within a second time period;
determining a second predicted value of the total volume of all the containers corresponding to the first predicted value;
based on the second predictive value, a first number of containers required by the first predictive value is determined.
In the above scheme, the method further comprises:
determining a second quantity; the second quantity characterizes the inventory quantity of the containers in the corresponding node;
sending early warning information under the condition that the second quantity is smaller than the first quantity; the early warning information is used for prompting the corresponding node to supplement the inventory 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 apparatus, including:
the first association module is used for associating each picking task in the set task set with a corresponding first identifier respectively; the first identification represents a container for placing a delivery package corresponding to the picking task; all picking tasks in the set task set correspond to the same delivery station;
the first determining module is used for determining the total volume of all containers corresponding to the set task set based on all the determined first identifications;
a second determination module to determine at least one second indicator based on the total volume; each second identifier of the at least one second identifier characterizes a transport vehicle for transporting all or part of the total containers;
and the second association module is used for establishing an association relationship between all the determined first identifications and the at least one second identification so as to allocate corresponding transport vehicles to all containers corresponding to the set task set based on the association relationship.
In a fourth aspect, an embodiment of the present invention provides a sorting container information processing apparatus, including:
a third determining module to determine at least one node associated with the first container; one of the at least one node characterizes a delivery site for receiving or delivering the first container; the first container is a container in any one of the at least one node; the container is used for placing distribution packages corresponding to the picking tasks;
a modification module, configured to modify inventory information of the first container in the at least one node when the first container is received or shipped by any node in the at least one node; the inventory information characterizes at least a transport state of the first container.
In a fifth aspect, an embodiment of the present invention provides an electronic device, which includes a processor and a memory, where the processor and the memory are connected to each other, where the memory is used to store a computer program, and the computer program includes program instructions, and the processor is configured to call the program instructions to execute the steps of the sorting container information processing method provided in the first aspect of the embodiment 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. Which when executed by a processor implements the steps of the sorting receptacle information processing method as provided in the first aspect of an embodiment of the invention.
According to the embodiment of the invention, each picking task in the set task set is respectively associated with the corresponding first identifier, and the total volume of all containers corresponding to the set task set is determined based on all the determined first identifiers. And determining at least one second identifier based on the total volume, establishing an association relationship between all the determined first identifiers and the at least one second identifier, and allocating corresponding transport vehicles to all containers corresponding to the set task set based on the association relationship. The first identification represents a container used for placing a delivery package corresponding to the picking task, all picking tasks in the set task set correspond to the same delivery station, and each second identification in the at least one second identification represents a transportation vehicle used for transporting all or part of the containers in all the containers. According to the embodiment of the invention, the distribution packages corresponding to each picking task are placed into the containers corresponding to the distribution stations at the warehouse, so that the problem that the distribution packages are time-consuming when passing through a sorting center is solved. And the incidence relation between the container and the transport vehicle is established, and the container can be directly loaded into the corresponding transport vehicle according to the incidence relation, so that the delivery time of the distribution package is shortened, the processing efficiency of the picking task is improved, and the processing timeliness of the customer order is shortened.
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Fig. 1 is a schematic flow chart illustrating an implementation of a sorting container information processing method according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of another implementation of the sorting container information processing method according to the embodiment of the present invention;
fig. 3 is a schematic flow chart of another implementation of the sorting container information processing method according to the embodiment of the present invention;
fig. 4 is a schematic flow chart of another implementation of the sorting container information processing method according to the embodiment of the present invention;
fig. 5 is a schematic flow chart illustrating an implementation of a sorting container information processing method according to an embodiment of the present invention;
fig. 6 is a schematic flow chart of another implementation of the sorting container information processing method according to the embodiment of the present invention;
fig. 7 is a schematic flow chart of another implementation of the sorting container information processing method according to the embodiment of the present invention;
fig. 8 is a schematic diagram of a sorting container information processing flow according to an embodiment of the present invention;
fig. 9 is a schematic diagram of a sorting container information processing flow according to an embodiment of the present invention;
fig. 10 is a schematic view of an information processing apparatus for sorting containers according to an embodiment of the present invention;
fig. 11 is a schematic view of an information processing apparatus for sorting containers according to an embodiment of the present invention;
fig. 12 is a schematic diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the related art, after a customer places an order on the e-commerce platform, the e-commerce platform issues a picking task to a warehouse near a receiving address according to the receiving address of the customer order. For example, if the delivery location of the customer order is located in a vicinity such as Hubei or Hunan, the e-commerce platform issues a pick-up task to the Huazhong warehouse. And the warehouse sends the packaged commodities corresponding to the picking task to a delivery site corresponding to the receiving address through logistics, and the delivery site carries out final delivery and delivers the delivery packages to the client.
In the related art, after the warehouse outputs the delivery packages, all the delivery packages need to be sorted one by a sorting center. In special sales promotion festivals, such as twenty-one, the warehouse receives a large number of picking tasks, and the sorting center cannot process the delivery packages in time, which affects the processing timeliness of the customer orders.
In view of the above-mentioned drawbacks of the related art, embodiments of the present invention provide a sorting container information processing method, which can at least improve the processing efficiency of the picking task. In order to explain the technical means of the present invention, the following description will be given by way of specific examples.
Fig. 1 is a schematic flow chart illustrating an implementation of a sorting container information processing method according to an embodiment of the present invention, where an execution main body of the sorting container information processing method is an electronic device, and the electronic device includes a desktop computer, a notebook computer, a server, and the like. Referring to fig. 1, the sorting container information processing method includes:
s101, associating each picking task in a set task set with a corresponding first identifier; the first identification represents a container for placing a delivery package corresponding to the picking task; all the picking tasks in the set task set correspond to the same delivery station.
In one embodiment of the invention, for all picking tasks received in a first period, all picking tasks are divided based on a distribution station to obtain at least one task set; the set task set is any one of the at least one task set.
For example, all picking tasks received in the first period may be all picking tasks issued by the e-commerce platform and received by the warehouse on the same day, and the warehouse divides all picking tasks according to the delivery sites and divides the picking tasks of the same delivery site into the same task set. For example, picking tasks with a shipping address within 5 kilometers of the delivery site may be grouped into picking tasks for the same delivery site. Thus, 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 one task set in at least one task set, each picking task in the set task set is respectively associated with a corresponding first identifier, and the first identifier represents a container for placing a delivery package corresponding to the picking task.
Here, the container is used for placing the delivery parcel, for example the container can be the transfer bag that recycles many times, accomplishes the delivery at every turn after, retrieves the container and recycles, so not only can reduce the cost that the warehouse purchase the container to the environmental protection, can also reduce the breakage rate of delivery parcel to a certain extent.
The outer surface of each container is printed with a first identification of the container, for example the first identification may be a bar code, each container has a unique first identification, and the first identifications are different from container to container. The distribution packages placed in the same container all correspond to the same distribution site. The delivery packages corresponding to all the picking tasks in the set task set are placed in one or more containers, and the picking tasks corresponding to each container are recorded. And associating each picking task with a corresponding first identifier, so that reading the first identifier of the container can know which delivery packages corresponding to the picking tasks are placed in the container.
In practical application, before picking, the warehouse firstly divides picking tasks of the same delivery station to obtain a plurality of task sets. When the warehouse picks the goods, the distribution packages are placed into a plurality of containers according to the task set in a classified mode, and only the distribution packages of the same distribution station are placed into the same container. And associating the first identification of the container with a pick task corresponding to a delivery package placed in the container. Because the distribution packages in one container are all the same distribution station, the distribution packages are put into the corresponding containers in the warehouse, and therefore the problem that the distribution packages are time-consuming when passing through a sorting center is avoided. The sorting center only needs to sort the containers and does not need to take out the distribution packages in the containers for separate sorting, so that the sorting efficiency and the sorting accuracy are improved.
S102, determining the total volume of all containers corresponding to the set task set based on all the determined first identifications.
When the warehouse outputs the delivery packages corresponding to the picking task, the volume of each delivery package is measured, and the volume is associated with the corresponding picking task. In this way, the volume of all parcels in the corresponding container is known from the first identifier, so that the total volume of all parcels in the container can be obtained. And counting the total volume of the distribution packages in each container, so that the total volume of all containers corresponding to the set task set can be known.
In an embodiment, the determining, based on all the determined first identifiers, a total volume of all containers corresponding to the set task set includes:
determining the total volume based on the first volume, a second volume of delivery packages corresponding to each picking task in the set of tasks, the number of the total containers, and a first factor for each of the total containers; the first volume represents a volume of each of the total number of containers; the first factor is characterized as a ratio of a total volume of all distribution packages placed within the container to the first volume.
Specifically, in practical applications, the total volume may be determined according to the following formula.
Figure BDA0002842233410000081
Wherein k denotes the warehouse identifier, j denotes the delivery site identifier, VjkIndicates the total volume V of all containers corresponding to the set task setijkThe volume (second volume) of the delivery package corresponding to the ith picking task in the set task set is represented, and the second volume can be obtained by measurement through a volume measuring device; n is a radical ofjkIndicates the number of all containers corresponding to the set task set, V0Representing a first volume, each container having the same volume. PtkWhich is indicative of the first coefficient of the signal,
Figure BDA0002842233410000082
the average value of the first coefficients corresponding to each of all the containers is represented. Alpha is alpha1And alpha2Denotes the coefficient of influence, α1The influence coefficient represents the sum of the volumes of the delivered parcels, wherein the influences of the delivered parcel stacking, the irregular parcel and the like are considered; alpha is alpha2An influence coefficient representing the number of containers.
And calculating the total volume of all containers corresponding to the set task set based on the formula.
S103, determining at least one second identifier based on the total volume; each of the at least one second identifier characterizes a transport vehicle for transporting all or part of the total number of containers.
In practical application, each warehouse is provided with a transport vehicle for transporting and distributing packages, and information of the transport vehicles currently parked in the warehouse, such as vehicle models, volumes, quantities and the like, is recorded in real time. After the distribution packages are placed in the containers, all the containers corresponding to the set task sets need to be transported to the same distribution site by the transport vehicle. The transportation vehicles include large vehicles, medium vehicles and the like, the volumes of the transportation vehicles of different models are different, and in order to save the transportation cost, the utilization rate of the transportation volume of the transportation vehicle needs to be increased as much as possible.
Here, each transport vehicle has a unique second identifier, which in one embodiment is associated with the transport volume of the corresponding transport vehicle. The associated information is recorded in the database, so that the information query and the calling are convenient. Thus, the transportation volume of the corresponding transportation vehicle can be determined according to the second identification, and the corresponding second identification can be inquired according to the transportation volume.
And determining at least one second identifier according to the total volume, and transporting all containers corresponding to the set task set to the delivery station by the transport vehicle corresponding to the at least one second identifier. In particular, in practical application, it can be based on the total volume VjkTransport volume VC corresponding to vehicle model uuIt is determined which transport vehicles transport all containers corresponding to the set of tasks, i.e. at least one second identifier.
The specific process comprises the following steps:
at VjkWhen the transportation volume of the transportation vehicle (the vehicle model is max) with the largest transportation volume is larger than or equal to the transportation volume, the following judgment is carried out:
if Vjk-wVCmax≥VCmaxRecording w +1 transport vehicles with the vehicle model of max; if Vjk-wVCmax<VCmaxThen, determine VCx<(Vjk-wVCmax)<VCx+1Then 1 transport vehicle of vehicle model x +1 is recorded. Wherein x ∈ (1, 2, 3, … …, max), the transportation volumes of the corresponding transportation vehicles increase sequentially with the increase of the numbers of the vehicle models, and the transportation volumes of the transportation vehicles of the same vehicle model are the same. Thus, w +1 transport vehicles of vehicle model max and 1 transport vehicle of vehicle model x +1 are cumulatively selected.
If VjkWhen the transportation volume of the transportation vehicle (the vehicle model is 1) with the smallest transportation volume is less than or equal to the transportation volume of the transportation vehicle with the smallest transportation volume, 1 transportation vehicle with the vehicle model of 1 is selected in an accumulated mode.
If VjkWhen the transportation volume of the transportation vehicle (the vehicle model is 1) is larger than the transportation volume of the transportation vehicle with the minimum transportation volume and the transportation volume of the transportation vehicle (the vehicle model is max) with the maximum transportation volume is smaller than the transportation volume of the transportation vehicle with the minimum transportation volume, the VC is judgedx<Vjk<VCx+1Then 1 transport vehicle of vehicle model x +1 is selected cumulatively.
After the required vehicle model is obtained, since the vehicle volume of each vehicle model is known, each second identifier corresponds to one vehicle volume, and one vehicle volume may correspond to a plurality of second identifiers. And determining corresponding second marks according to the volume of the vehicle, and selecting the required number of second marks from the determined second marks as at least one second mark corresponding to the total volume according to the number of the 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 already selected by other task sets, and select the required number of second identifiers from the remaining second identifiers, for example, the second identifiers may be selected randomly.
At least one second identifier corresponding to the total volume may be determined based on the above method.
And S104, establishing an association relationship between all the determined first identifications and the at least one second identification, and distributing corresponding transport vehicles for all containers corresponding to the set task set based on the association relationship.
And establishing an association relationship between all the determined first identifications and at least one second identification, so that corresponding transport vehicles can be directly allocated to all containers corresponding to the set task set according to the association relationship.
After the containers are placed into the transport vehicles, the containers placed into each transport vehicle are recorded, and the corresponding relation among the picking task, the first identification and the second identification is correspondingly recorded, so that the corresponding delivery packages in which container and which transport vehicle are delivering the delivery packages can be directly inquired according to the picking task.
According to the embodiment of the invention, each picking task in the set task set is respectively associated with the corresponding first identifier, and the total volume of all containers corresponding to the set task set is determined based on all the determined first identifiers. And determining at least one second identifier based on the total volume, establishing an association relationship between all the determined first identifiers and the at least one second identifier, and allocating corresponding transport vehicles to all containers corresponding to the set task set based on the association relationship. The first identification represents a container used for placing a delivery package corresponding to the picking task, all picking tasks in the set task set correspond to the same delivery station, and each second identification in the at least one second identification represents a transportation vehicle used for transporting all or part of the containers in all the containers. According to the embodiment of the invention, the distribution packages corresponding to each picking task are placed into the containers corresponding to the distribution stations at the warehouse, so that the problem that the distribution packages are time-consuming when passing through a sorting center is solved. And the incidence relation between the container and the transport vehicle is established, and the container can be directly loaded into the corresponding transport vehicle according to the incidence relation, so that the delivery time of the distribution package is shortened, the processing efficiency of the picking task is improved, and the processing timeliness of the customer order is shortened.
In practical application, each transportation link of logistics can adopt a container which can be recycled, and the container is managed at the same time, for example, the transportation state of the container in a warehouse is recorded, and meanwhile, the container demand of the warehouse for a period of time in the future is required to be predicted, the container stock is supplemented in time, and the container demand balance is ensured.
Referring to fig. 2, in an embodiment, the sorting container information processing method further includes:
s201, determining at least one node associated with a first container; one of the at least one node characterizes a delivery site for receiving or delivering the first container; the first container is a container in any one of the at least one node.
Here, one of the at least one node characterizes a delivery site for receiving or delivering the first container, the delivery site including a delivery warehouse, a receiving warehouse and a transfer site for the first container. For example, if a first container is sent from a first warehouse to a first delivery site, then the at least one node associated with the first container includes the first warehouse and the first delivery site.
S202, when any node in 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; the inventory information characterizes at least a transport state of the first container.
Modifying the inventory information of the first container in the at least one node when the first container is received or shipped by any one of the at least one node. For example, the at least one node associated with the first container includes a first warehouse and a first delivery site, and after the warehouse delivers the first container, the inventory information of the first container in the warehouse is modified into an outbound status, and the outbound status characterizes a process of the first container in a process of being sent from the warehouse to the delivery site. And simultaneously modifying the inventory information of the first container in the delivery site to a pending in-transit state, wherein the pending in-transit state represents that the first container is on the way of being transported from the warehouse to the delivery site.
In practical applications, the transportation status of the container in the warehouse may include "in-warehouse maintenance", "in-warehouse normal", "on-the-way", "in-the-way", and "scrapped status", and the in-warehouse normal status indicates that the container can be normally used in the warehouse; the corresponding container in the warehouse is maintained and explained to have the condition of damage, etc.; the ex-warehouse in-transit state is marked as an ex-warehouse in-transit state after the containers are delivered from the upstream node, and represents that the corresponding containers are in the way of being transported from the upstream node to the downstream node; the in-transit state is that after the upstream node delivers goods, the downstream node is marked as the in-transit state and indicates that the corresponding container is in the way of being transported from the upstream node to the downstream node; the discard status indicates that the corresponding container in the warehouse is unusable.
For example, the upstream node may be a warehouse and the downstream node may be a delivery site. After the container is delivered from the upstream node, 1 stock is added in the stock category 'out-of-stock-in-transit' of the upstream node, and then 1 stock is added in the stock category 'in-transit' of the downstream node. After downstream goods inspection, the warehouse-out on-the-way of the upstream node and the warehouse-waiting on-the-way of the downstream node are both reduced by 1, the normal warehouse-in stock of the upstream node is reduced by 1, and the normal warehouse-in stock of the downstream node is increased by 1.
According to the scheme, the containers in each link of logistics are managed, so that the transportation state of the containers can be known, the containers can be recycled, the logistics cost is saved, and the containers can be prevented from being lost.
Referring to fig. 3, in an embodiment, the sorting container information processing method further includes:
s301, a first predicted value of the picking task quantity received by at least one node in the second time period is determined.
Here, at least one node is mainly aimed at each delivery warehouse under the e-commerce platform, and the second period is a certain period in the future, for example, a first predicted value for determining the number of first picking tasks received by the warehouse in china tomorrow.
Specifically, the number of picking tasks received by the node in a certain period of time in the future can be predicted according to the historical data of the node. For example, if it is desired to predict the number of picking tasks received by the first node on a certain promotional festival at hand, it may be predicted from the number of picking tasks received by the first node on the promotional festival in the last and/or preceding year. For example, the number of picking tasks received by the first node on the historical promotion festival can be weighted, and the calculated value is used as a first predicted value of the number of first picking tasks received by the first node on the upcoming promotion festival.
S302, determining a second predicted value of the total volume of all the containers corresponding to the first predicted value.
Determining a second predictive value for the total volume of all the containers to which the first predictive value corresponds based on a second number of pick orders received over at least a third time period and the total volume of all the containers to which the first predictive value corresponds.
Here, the third time period is a historical time period, and a corresponding relationship between the total volume and the picking task number can be obtained according to the second picking task number received in the plurality of third time periods and the corresponding total volume of all the containers, where the corresponding relationship is a linear function, and a second predicted value of the total volume of all the containers corresponding to the first predicted value can be determined according to the corresponding relationship.
Specifically, in one embodiment, the total volume and the picking task number may be expressed by an objective function:
Ytk＝mXtk+n
wherein k represents the identity of the warehouse, YtkRepresents the total volume of all the containers corresponding to the predicted t-th day (second predicted value); xtkRepresenting the predicted number of all picking tasks on day t (first predicted value); m and n are regression parameters of the objective function respectively.
Solving the regression parameters by combining a least square method to obtain an objective function as follows:
Figure BDA0002842233410000131
wherein,
Figure BDA0002842233410000132
denotes the total volume of all containers corresponding to the s-th day (historical data), XskRepresenting the second pick task number on day s (historical data).
Solving the function to obtain:
Figure BDA0002842233410000133
Figure BDA0002842233410000134
wherein,
Figure BDA0002842233410000135
an average value representing the number of second picking tasks within days 1-S (historical data);
Figure BDA0002842233410000136
represents the average of the total volume of all containers corresponding to (historical data) days 1-S.
By the objective function, a second predicted value of the total volume of all the containers corresponding to the first predicted value can be calculated.
S303, determining the first number of containers required by the first predicted value based on the second predicted value.
And after the second predicted value is obtained, the number of containers required can be predicted according to the second predicted value to place the distribution packages corresponding to the first predicted value. Specifically, the first number of containers required for the first prediction value may be determined according to the volume of each container and the second prediction value.
In an embodiment, the determining, based on the second predicted value, the first number of containers required by the first predicted value includes:
determining the first number based on the second predicted value, a first coefficient, and a first volume; the first factor is characterized as a ratio of a total volume of all distribution packages placed within the container to the first volume; the first volume is the volume of each container, where all containers have the same volume, V0。
In practical applications, the first number may be determined according to the following objective function:
Figure BDA0002842233410000137
Figure BDA0002842233410000138
Figure BDA0002842233410000139
wherein N istkRepresenting the predicted first number of containers required for the t-th day,
Figure BDA0002842233410000141
denotes the mean value of the first coefficient by day t, PtkRepresents the first coefficient, Σ, of day tiVitkDenotes the total volume, V, corresponding to day t0Indicating the volume of the container.
Based on the objective function, a first number of containers required for the first prediction value may be calculated.
Referring to fig. 4, in the above embodiment, the sorting container information processing method further includes:
s401, determining a second quantity; the second quantity characterizes an inventory quantity of containers in the corresponding node.
A second number of containers in the corresponding node, i.e. an inventory number of containers, is obtained.
S402, sending early warning information under the condition that the second quantity is smaller than the first quantity; the early warning information is used for prompting the corresponding node to supplement the inventory quantity of the container based on the first quantity.
And judging whether the inventory quantity of the containers in the corresponding nodes can meet the transportation requirement or not by combining the predicted first quantity of the containers, and sending early warning information to prompt the corresponding nodes to supplement the inventory quantity of the containers based on the first quantity under the condition that the second quantity is smaller than the first quantity. For example, containers may be dialed from other nodes, or a new batch of containers may be purchased.
The required quantity of the containers of the nodes is predicted in advance, the inventory quantity of the containers in the corresponding nodes can be supplemented in time, the influence on the processing timeliness of customer orders due to the fact that the inventory quantity of the containers is not enough is avoided, the inventory quantity of the containers in the nodes can be controlled, and the logistics cost of a warehouse is reduced.
Fig. 5 is a schematic flow chart illustrating an implementation of a sorting container information processing method according to an embodiment of the present invention, where an execution main body of the sorting container information processing method is an electronic device, and the electronic device includes a desktop computer, a notebook computer, a server, and the like. Referring to fig. 5, the sorting container information processing method includes:
s501, determining at least one node associated with a first container; one of the at least one node characterizes a delivery site for receiving or delivering the first container; the first container is a container in any one of the at least one node; the container is used for placing distribution packages corresponding to the picking tasks.
Here, one of the at least one node characterizes a delivery site for receiving or delivering the first container, the delivery site including a delivery warehouse, a receiving warehouse and a transfer site for the first container. For example, if a first container is sent from a first warehouse to a first delivery site, then the at least one node associated with the first container includes the first warehouse and the first delivery site.
S502, when any node in 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; the inventory information characterizes at least a transport state of the first container.
Modifying the inventory information of the first container in the at least one node when the first container is received or shipped by any one of the at least one node. For example, the at least one node associated with the first container includes a first warehouse and a first delivery site, and after the warehouse delivers the first container, the inventory information of the first container in the warehouse is modified into an outbound status, and the outbound status characterizes a process of the first container in a process of being sent from the warehouse to the delivery site. And simultaneously modifying the inventory information of the first container in the delivery site to a pending in-transit state, wherein the pending in-transit state represents that the first container is on the way of being transported from the warehouse to the delivery site.
Referring to fig. 6, in an embodiment, the sorting container information processing method further includes:
s601, determining a first predicted value of the picking task quantity received by at least one node in the second time period.
Here, at least one node is mainly aimed at each delivery warehouse under the e-commerce platform, and the second period is a certain period in the future, for example, a first predicted value for determining the number of first picking tasks received by the warehouse in china tomorrow.
Specifically, the number of picking tasks received by the node in a certain period of time in the future can be predicted according to the historical data of the node. For example, if it is desired to predict the number of picking tasks received by the first node on a certain promotional festival at hand, it may be predicted from the number of picking tasks received by the first node on the promotional festival in the last and/or preceding year. For example, the number of picking tasks received by the first node on the historical promotion festival can be weighted, and the calculated value is used as a first predicted value of the number of first picking tasks received by the first node on the upcoming promotion festival.
S602, determining a second predicted value of the total volume of all the containers corresponding to the first predicted value.
Determining a second predictive value for the total volume of all the containers to which the first predictive value corresponds based on a second number of pick orders received over at least a third time period and the total volume of all the containers to which the first predictive value corresponds.
Here, the third time period is a historical time period, and a corresponding relationship between the total volume and the picking task number can be obtained according to the second picking task number received in the plurality of third time periods and the corresponding total volume of all the containers, where the corresponding relationship is a linear function, and a second predicted value of the total volume of all the containers corresponding to the first predicted value can be determined according to the corresponding relationship.
Specifically, in one embodiment, the total volume and the picking task number may be expressed by an objective function:
Ytk＝mXtk+n
wherein k represents the identity of the warehouse, YtkRepresents the total volume of all the containers corresponding to the predicted t-th day (second predicted value); xtkRepresenting the predicted number of all picking tasks on day t (first predicted value); m and n are regression parameters of the objective function respectively.
Solving the regression parameters by combining a least square method to obtain an objective function as follows:
Figure BDA0002842233410000161
wherein,
Figure BDA0002842233410000162
denotes the total volume of all containers corresponding to the s-th day (historical data), XskRepresenting the second pick task number on day s (historical data).
Solving the function to obtain:
Figure BDA0002842233410000163
Figure BDA0002842233410000164
wherein,
Figure BDA0002842233410000165
an average value representing the number of second picking tasks within days 1-S (historical data);
Figure BDA0002842233410000166
represents the average of the total volume of all containers corresponding to (historical data) days 1-S.
By the objective function, a second predicted value of the total volume of all the containers corresponding to the first predicted value can be calculated.
S603, determining the first number of containers required by the first predicted value based on the second predicted value.
And after the second predicted value is obtained, the number of containers required can be predicted according to the second predicted value to place the distribution packages corresponding to the first predicted value. Specifically, the first number of containers required for the first prediction value may be determined according to the volume of each container and the second prediction value.
In an embodiment, the determining, based on the second predicted value, the first number of containers required by the first predicted value includes:
determining the first number based on the second predicted value, a first coefficient, and a first volume; the first factor is characterized as a ratio of a total volume of all distribution packages placed within the container to the first volume; the first volume is the volume of each container, where all containers have the same volume, V0。
In practical applications, the first number may be determined according to the following objective function:
Figure BDA0002842233410000171
Figure BDA0002842233410000172
Figure BDA0002842233410000173
wherein N istkRepresenting the predicted first number of containers required for the t-th day,
Figure BDA0002842233410000174
denotes the mean value of the first coefficient by day t, PtkRepresents the first coefficient, Σ, of day tiVitkDenotes the total volume, V, corresponding to day t0Indicating the volume of the container.
Based on the objective function, a first number of containers required for the first prediction value may be calculated.
Referring to fig. 7, in an embodiment, the sorting container information processing method further includes:
s701, determining a second quantity; the second quantity characterizes an inventory quantity of containers in the corresponding node.
A second number of containers in the corresponding node, i.e. an inventory number of containers, is obtained.
S702, sending early warning information under the condition that the second quantity is smaller than the first quantity; the early warning information is used for prompting the corresponding node to supplement the inventory quantity of the container based on the first quantity.
And judging whether the inventory quantity of the containers in the corresponding nodes can meet the transportation requirement or not by combining the predicted first quantity of the containers, and sending early warning information to prompt the corresponding nodes to supplement the inventory quantity of the containers based on the first quantity under the condition that the second quantity is smaller than the first quantity. For example, containers may be dialed from other nodes, or a new batch of containers may be purchased.
The required quantity of the containers of the nodes is predicted in advance, the inventory quantity of the containers in the corresponding nodes can be supplemented in time, the influence on the processing timeliness of customer orders due to the fact that the inventory quantity of the containers is not enough is avoided, the inventory quantity of the containers in the nodes can be controlled, and the logistics cost of a warehouse is reduced.
Referring to fig. 8, fig. 8 is a schematic flow chart of sorting container information processing according to an embodiment of the present invention, where the sorting container information processing flow includes:
firstly, according to the receiving address corresponding to the picking task, the picking task is divided according to the distribution station, and the picking task of the same distribution station is divided into the same task set. Thus, at least one task set can be obtained, and the task set is set to be one task set in the at least one task set. Then, the order goods of the same delivery station are picked by the goods picking operation personnel, delivered to the packing operation personnel for packing to obtain delivery packages, and volume measurement and identification are carried out on the delivery packages. The packing operation personnel place the delivery packages into at least one container according to the delivery stations, the delivery packages in one container are the same delivery station, and the incidence relation between the first identification of the container and the picking task corresponding to the delivery packages in the container is recorded. And packaging the containers filled with the distribution packages and putting the containers into automatic sorting equipment, determining the total volume of all the containers corresponding to the set task set by the automatic sorting equipment based on all the determined first identifications, determining at least one second identification based on the total volume, and establishing an association relationship between all the determined first identifications and at least one second identification. 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 flow chart of sorting container information processing according to an embodiment of the present invention, where the sorting container information processing flow includes:
and S901, dividing all the picking tasks according to the distribution stations to obtain at least one task set.
And the corresponding distribution stations of the picking task in the same task set are the same.
And S902, selecting the commodities corresponding to the goods picking task according to the task set.
For example, for a set task set, the items corresponding to the picking task in the set task set are picked.
And S903, packaging the sorted goods and measuring the volume of the goods.
The method comprises the steps of packaging commodities, packaging the commodities by an express bag or an express box to obtain delivery packages, and measuring the volume of the packaged delivery packages.
S904, the pick task is associated with the first identification of the container.
Associating each picking task in the set task set with a corresponding first identifier respectively; the first identifier characterizes a container for placing a delivery package corresponding to the pick task.
S905, placing the distribution package into an associated container.
The delivery packages are put into the associated containers, and when the number of the delivery packages is large, one container may not be capable of completely containing all the delivery packages corresponding to the set task set. The application embodiment of the invention loads the distribution packages from the first container, and loads the distribution packages by using the second container after the first container is filled until all the distribution packages corresponding to the set task set are loaded into the containers. Thus, it may happen that the last container is not filled, and at this time, the container is no longer packaged with distribution packages, so that the distribution packages in the same container all correspond to the same distribution site.
And S906, packaging the container.
And S907, determining 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 identifier characterizes a transport vehicle for transporting all or part of the total number of containers.
And S909, establishing association between all the determined first identifications and at least one second identification.
S910, distributing all containers corresponding to the set task set to corresponding transport vehicles based on the association relation.
The application embodiment of the invention directly puts the distribution packages corresponding to each picking task into the containers corresponding to the distribution stations at the warehouse, thereby avoiding the problem that the distribution packages are time-consuming when passing through the sorting center. And the incidence relation between the container and the transport vehicle is established, and the container can be directly loaded into the corresponding transport vehicle according to the incidence relation, so that the delivery time of the distribution package is shortened, the processing efficiency of the picking task is improved, and the processing timeliness of the customer order is shortened.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
The technical means described in the embodiments of the present invention may be arbitrarily combined without conflict.
In addition, in the embodiments of the present invention, "first", "second", and the like are used for distinguishing similar objects, and are not necessarily used for describing a specific order or a sequential order.
Referring to fig. 10, fig. 10 is a schematic view of an information processing apparatus for sorting containers according to an embodiment of the present invention, as shown in fig. 10, the apparatus includes: the device comprises a first association module, a first determination module, a second determination module and a second association module.
The first association module is used for associating each picking task in the set task set with a corresponding first identifier respectively; the first identification represents a container for placing a delivery package corresponding to the picking task; all picking tasks in the set task set correspond to the same delivery station;
the first determining module is used for determining the total volume of all containers corresponding to the set task set based on all the determined first identifications;
a second determination module to determine at least one second indicator based on the total volume; each second identifier of the at least one second identifier characterizes a transport vehicle for transporting all or part of the total containers;
and the second association module is used for establishing an association relationship between all the determined first identifications and the at least one second identification so as to allocate corresponding transport vehicles to all containers corresponding to the set task set based on the association relationship.
The first determining module is specifically configured to:
determining the total volume based on the first volume, a second volume of delivery packages corresponding to each picking task in the set of tasks, the number of the total containers, and a first factor for each of the total containers; the first volume represents a volume of each of the total number of containers; the first factor is characterized as a ratio of a total volume of all distribution packages placed within the container to the first volume.
The device further comprises:
the sorting module is used for dividing all the picking tasks received in the first time period based on the distribution station to obtain at least one task set; the set task set is any one of the at least one task set.
The device further comprises:
a node determination module to determine at least one node associated with a first container; one of the at least one node characterizes a delivery site for receiving or delivering 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 inventory information of the first container in the at least one node when the first container is received or shipped by any node of the at least one node; the inventory information characterizes at least a transport state of the first container.
The device further comprises:
a first prediction module for determining a first predicted value of the number of picking tasks received by at least one of the at least one node within a second time period;
the second prediction module is used for determining a second prediction value of the total volume of all the containers corresponding to the first prediction value;
a third prediction module to determine a first number of containers needed for the first prediction value based on the second prediction value.
The device further comprises:
an inventory determination module to determine a second quantity; the second quantity characterizes the inventory quantity of the containers in the corresponding node;
the sending module is used for sending early warning information under the condition that the second quantity is smaller than the first quantity; the early warning information is used for prompting the corresponding node to supplement the inventory quantity of the container based on the first quantity.
Referring to fig. 11, fig. 11 is a schematic view of an information processing apparatus for sorting containers according to an embodiment of the present invention, as shown in fig. 11, the apparatus includes: a third determination module and a modification module.
A third determining module to determine at least one node associated with the first container; one of the at least one node characterizes a delivery site for receiving or delivering the first container; the first container is a container in any one of the at least one node; the container is used for placing distribution packages corresponding to the picking tasks;
a modification module, configured to modify inventory information of the first container in the at least one node when the first container is received or shipped by any node in the at least one node; the inventory information characterizes at least a transport state of the first container.
In practical applications, the first correlation module, the first determination module, the second determination module, and the second correlation module may be implemented by a Processor in an electronic device, such as a Central Processing Unit (CPU), a Digital Signal Processor (DSP), a Micro Control Unit (MCU), or a Programmable Gate Array (FPGA).
It should be noted that: in the sorting container information processing apparatus provided in the above embodiment, when the sorting container information processing is performed, only the division of the above modules is exemplified, and in practical applications, the processing distribution may be completed by different modules according to needs, that is, the internal structure of the apparatus may be divided into different modules to complete all or part of the above-described processing. In addition, the sorting container information processing apparatus and the sorting container information processing method provided in the above embodiments belong to the same concept, and specific implementation processes thereof are described in the method embodiments, and are not described herein again.
Based on the hardware implementation of the program module, in order to implement the method of the embodiment of the present application, an 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, and as shown in fig. 12, the electronic device includes:
the communication interface can carry out information interaction with other equipment such as network equipment and the like;
and the processor is connected with the communication interface to realize information interaction with other equipment, and is used for executing the method provided by one or more technical schemes on the electronic equipment side when running a computer program. And the computer program is stored on the memory.
Of course, in practice, the various components in an electronic device are coupled together by a bus system. It will be appreciated that a bus system is used to enable communications among the components. The bus system includes a power bus, a control bus, and a status signal bus in addition to a data bus. For clarity of illustration, however, the various buses are labeled as a bus system in fig. 12.
The memory in the embodiments 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 for operating on an electronic device.
It will be appreciated that the memory can be either volatile memory or nonvolatile memory, and can include both volatile and nonvolatile memory. Among them, the nonvolatile Memory may be a Read Only Memory (ROM), a Programmable Read Only Memory (PROM), an Erasable Programmable Read-Only Memory (EPROM), an Electrically Erasable Programmable Read-Only Memory (EEPROM), a magnetic random access Memory (FRAM), a Flash Memory (Flash Memory), a magnetic surface Memory, an optical disk, or a Compact Disc Read-Only Memory (CD-ROM); the magnetic surface storage may be disk storage or tape storage. Volatile Memory can be Random Access Memory (RAM), which acts as external cache Memory. By way of illustration 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 (DRAM), Synchronous Dynamic Random Access Memory (SDRAM), Double Data Rate Synchronous Dynamic Random Access Memory (DDRSDRAM), Enhanced Synchronous Dynamic Random Access Memory (ESDRAM), Enhanced Synchronous Dynamic Random Access Memory (Enhanced DRAM), Synchronous Dynamic Random Access Memory (SLDRAM), Direct Memory (DRmb Access), and Random Access Memory (DRAM). The memory 130 described in embodiments herein is intended to comprise, without being limited to, these and any other suitable types of memory.
The method disclosed in the embodiments of the present application may be applied to a processor, or may be implemented by a processor. The processor may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in a processor or instructions in the form of software. The processor described above may be a general purpose processor, a DSP, or other programmable logic device, discrete gate or transistor logic device, discrete hardware components, or the like. The processor may implement or perform the methods, steps, and logic blocks disclosed in the embodiments of the present 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 may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software modules may be located in a storage medium located in a memory where a processor reads the programs in the memory and in combination with its hardware performs the steps of the method as previously described.
Optionally, when the processor executes the program, the corresponding process implemented by the electronic device in each method of the embodiment of the present application is implemented, and for brevity, no further description is given here.
In an exemplary embodiment, the present application further provides a storage medium, specifically a computer storage medium, for example, a first memory storing a computer program, where the computer program is executable by a processor of an electronic device to perform the steps of the foregoing 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 the present application, it should be understood that the disclosed apparatus, electronic device and method may be implemented in other ways. The above-described device embodiments are merely illustrative, for example, the division of the unit is only a logical functional division, and there may be other division ways in actual implementation, such as: multiple units or components may be combined, or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the coupling, direct coupling or communication connection between the components shown or discussed may be through some interfaces, and the indirect coupling or communication connection between the devices or units may be electrical, mechanical or other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed on a plurality of network units; some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, all functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may be separately regarded as one unit, or two or more units may be integrated into one unit; the integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
Those of ordinary skill in the art will understand that: all or part of the steps for implementing the method embodiments may be implemented by hardware related to program instructions, and the program may be stored in a computer readable storage medium, and when executed, the program performs the steps including the method embodiments; and the aforementioned storage medium includes: a removable storage device, a ROM, a RAM, a magnetic or optical disk, or various other media that can store program code.
Alternatively, the integrated units described above in the present application may be stored in a computer-readable storage medium if they are implemented in the form of software functional modules and sold or used as independent products. Based on such understanding, the technical solutions of the embodiments of the present application may be essentially implemented or portions thereof contributing to the prior art may be embodied in the form of a software product stored in a storage medium, and including several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a removable storage device, a ROM, a RAM, a magnetic or optical disk, or various other media that can store program code.
The technical means described in the embodiments of the present application may be arbitrarily combined without conflict.
In addition, in the examples of the present application, "first", "second", and the like are used for distinguishing similar objects, and are not necessarily used for describing a specific order or a sequential order.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims (13)

1. A sorting container information processing method, characterized in that the method comprises:
associating each picking task in the set task set with a corresponding first identifier respectively; the first identification represents a container for placing a delivery package corresponding to the picking task; all picking tasks in the set task set correspond to the same delivery station;
determining the total volume of all containers corresponding to the set task set based on all the determined first identifications;
determining at least one second indicator based on the total volume; each second identifier of the at least one second identifier characterizes a transport vehicle for transporting all or part of the total containers;
and establishing an association relation between all the determined first identifications and the at least one second identification so as to allocate corresponding transport vehicles to all containers corresponding to the set task set based on the association relation.
2. The method of claim 1, wherein determining the total volume of all containers corresponding to the set task set based on all determined first identifiers comprises:
determining the total volume based on the first volume, a second volume of delivery packages corresponding to each picking task in the set of tasks, the number of the total containers, and a first factor for each of the total containers; the first volume represents a volume of each of the total number of containers; the first factor is characterized as a ratio of a total volume of all distribution packages placed within the container to the first volume.
3. The method of claim 1, further comprising:
for all picking tasks received in a first period, dividing all picking tasks based on distribution stations to obtain at least one task set; the set task set is any one of the at least one task set.
4. The method of claim 1, further comprising:
determining at least one node associated with the first container; one of the at least one node characterizes a delivery site for receiving or delivering the first container; the first container is a container in any one of the at least one node;
modifying inventory information of the first container in the at least one node when the first container is received or shipped by any one of the at least one node; the inventory information characterizes at least a transport state of the first container.
5. The method of claim 4, further comprising:
determining a first predicted value of the number of picking tasks received by at least one node of the at least one node within a second time period;
determining a second predicted value of the total volume of all the containers corresponding to the first predicted value;
based on the second predictive value, a first number of containers required by the first predictive value is determined.
6. The method of claim 5, further comprising:
determining a second quantity; the second quantity characterizes the inventory quantity of the containers in the corresponding node;
sending early warning information under the condition that the second quantity is smaller than the first quantity; the early warning information is used for prompting the corresponding node to supplement the inventory quantity of the container based on the first quantity.
7. A sorting container information processing method is characterized by comprising the following steps:
determining at least one node associated with the first container; one of the at least one node characterizes a delivery site for receiving or delivering the first container; the first container is a container in any one of the at least one node; the container is used for placing distribution packages corresponding to the picking tasks;
modifying inventory information of the first container in the at least one node when the first container is received or shipped by any one of the at least one node; the inventory information characterizes at least a transport state of the first container.
8. The method of claim 7, further comprising:
determining a first predicted value of the number of picking tasks received by at least one node of the at least one node within a second time period;
determining a second predicted value of the total volume of all the containers corresponding to the first predicted value;
based on the second predictive value, a first number of containers required by the first predictive value is determined.
9. The method of claim 8, further comprising:
determining a second quantity; the second quantity characterizes the inventory quantity of the containers in the corresponding node;
sending early warning information under the condition that the second quantity is smaller than the first quantity; the early warning information is used for prompting the corresponding node to supplement the inventory quantity of the container based on the first quantity.
10. A sorting container information processing apparatus characterized by comprising:
the first association module is used for associating each picking task in the set task set with a corresponding first identifier respectively; the first identification represents a container for placing a delivery package corresponding to the picking task; all picking tasks in the set task set correspond to the same delivery station;
the first determining module is used for determining the total volume of all containers corresponding to the set task set based on all the determined first identifications;
a second determination module to determine at least one second indicator based on the total volume; each second identifier of the at least one second identifier characterizes a transport vehicle for transporting all or part of the total containers;
and the second association module is used for establishing an association relationship between all the determined first identifications and the at least one second identification so as to allocate corresponding transport vehicles to all containers corresponding to the set task set based on the association relationship.
11. A sorting container information processing apparatus characterized by comprising:
a third determining module to determine at least one node associated with the first container; one of the at least one node characterizes a delivery site for receiving or delivering the first container; the first container is a container in any one of the at least one node; the container is used for placing distribution packages corresponding to the picking tasks;
a modification module, configured to modify inventory information of the first container in the at least one node when the first container is received or shipped by any node in the at least one node; the inventory information characterizes at least a transport state 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 sorting receptacle information processing method according to any one of claims 1 to 6 or the sorting receptacle information processing method according to any one of claims 7 to 9 when executing the computer program.
13. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a 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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Publication number Priority date Publication date Assignee Title
CN113393192A (en) * 2021-06-16 2021-09-14 北京京东振世信息技术有限公司 Method, device and equipment for delivering articles out of warehouse and storage medium
CN113822543A (en) * 2021-08-31 2021-12-21 北京沃东天骏信息技术有限公司 Resource quantity determination method and device, electronic equipment and storage medium

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104680237A (en) * 2015-03-10 2015-06-03 西南科技大学 Three-dimensional encasement novel genetic algorithm model under multi-constrain condition
CN109583800A (en) * 2017-09-29 2019-04-05 北京京东尚科信息技术有限公司 Logistics warehouse packages methods, devices and systems
CN110282332A (en) * 2019-06-24 2019-09-27 灵动科技（北京）有限公司 Automatic carriage and picking acquisition of information and display methods suitable for automatic carriage under logistics scene
US20190367276A1 (en) * 2018-05-29 2019-12-05 Hitachi Transport System, Ltd. Article Carrier System, Order Management Device, and Control Method for Article Carrier System
CN111079870A (en) * 2019-11-21 2020-04-28 江苏苏宁物流有限公司 Turnover box binding method and system based on electronic tag
CN111429049A (en) * 2019-01-10 2020-07-17 北京京东尚科信息技术有限公司 Method and system for delivering article orders, electronic equipment and readable storage medium
CN111553548A (en) * 2019-02-12 2020-08-18 北京京东尚科信息技术有限公司 Goods picking method and device
CN111589730A (en) * 2019-02-20 2020-08-28 北京京东尚科信息技术有限公司 Goods picking method, device, equipment and storage medium
US20200372459A1 (en) * 2019-05-20 2020-11-26 Coupang Corp. Computerized systems and methods for package delivery

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104680237A (en) * 2015-03-10 2015-06-03 西南科技大学 Three-dimensional encasement novel genetic algorithm model under multi-constrain condition
CN109583800A (en) * 2017-09-29 2019-04-05 北京京东尚科信息技术有限公司 Logistics warehouse packages methods, devices and systems
US20190367276A1 (en) * 2018-05-29 2019-12-05 Hitachi Transport System, Ltd. Article Carrier System, Order Management Device, and Control Method for Article Carrier System
CN111429049A (en) * 2019-01-10 2020-07-17 北京京东尚科信息技术有限公司 Method and system for delivering article orders, electronic equipment and readable storage medium
CN111553548A (en) * 2019-02-12 2020-08-18 北京京东尚科信息技术有限公司 Goods picking method and device
CN111589730A (en) * 2019-02-20 2020-08-28 北京京东尚科信息技术有限公司 Goods picking method, device, equipment and storage medium
US20200372459A1 (en) * 2019-05-20 2020-11-26 Coupang Corp. Computerized systems and methods for package delivery
CN110282332A (en) * 2019-06-24 2019-09-27 灵动科技（北京）有限公司 Automatic carriage and picking acquisition of information and display methods suitable for automatic carriage under logistics scene
CN111661550A (en) * 2019-06-24 2020-09-15 灵动科技（北京）有限公司 Automatic conveying device and picking information acquisition and display method suitable for automatic conveying device in logistics scene
CN111079870A (en) * 2019-11-21 2020-04-28 江苏苏宁物流有限公司 Turnover box binding method and system based on electronic tag

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113393192A (en) * 2021-06-16 2021-09-14 北京京东振世信息技术有限公司 Method, device and equipment for delivering articles out of warehouse and storage medium
CN113822543A (en) * 2021-08-31 2021-12-21 北京沃东天骏信息技术有限公司 Resource quantity determination method and device, electronic equipment and storage medium

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