CN111401822A - Commodity distribution method and device, storage medium and electronic equipment - Google Patents
Commodity distribution method and device, storage medium and electronic equipment Download PDFInfo
- Publication number
- CN111401822A CN111401822A CN202010499612.5A CN202010499612A CN111401822A CN 111401822 A CN111401822 A CN 111401822A CN 202010499612 A CN202010499612 A CN 202010499612A CN 111401822 A CN111401822 A CN 111401822A
- Authority
- CN
- China
- Prior art keywords
- delivery
- distribution
- address
- order
- robot
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/083—Shipping
- G06Q10/0835—Relationships between shipper or supplier and carriers
- G06Q10/08355—Routing methods
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/083—Shipping
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Marketing (AREA)
- Entrepreneurship & Innovation (AREA)
- Human Resources & Organizations (AREA)
- Development Economics (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
Abstract
The invention provides a commodity distribution method and device, a storage medium and electronic equipment, wherein the method comprises the following steps: receiving a commodity distribution request of a merchant terminal, and acquiring a distribution order in the commodity distribution request; determining a delivery order as a pre-delivery order, and determining a goods taking area to which a goods taking address belongs; storing the pre-prepared delivery order into a pre-prepared delivery order list corresponding to the goods taking area, and if the pre-prepared delivery order contained in the pre-prepared delivery order list meets delivery conditions, determining a target delivery robot corresponding to the goods taking area; if the target distribution robot is in an idle state, determining an optimal moving path; and sending the optimal moving path to the target distribution robot, so that the target distribution robot moves to each goods taking address corresponding to the distribution order list based on the optimal moving path to obtain the goods corresponding to the pre-distribution order and distributes the goods to the distribution address of each distribution order. By applying the method disclosed by the invention, the commodity distribution efficiency can be effectively improved.
Description
Technical Field
The present invention relates to the field of robotics, and in particular, to a method and an apparatus for delivering a commodity, a storage medium, and an electronic device.
Background
With the development of science and technology, robots are also widely applied to various fields, and the robots can replace people to complete a large amount of work, for example, in the field of goods distribution, when a user has a delivery demand, the user can obtain and send goods to a specified place by using the distribution robots, so that the workload of the user can be reduced, and great convenience is provided for the user.
In the prior art, when a user sends goods by using a delivery robot, the user usually needs to take the goods to be sent to the position of the delivery robot, and provide a delivery address to the robot, and the robot sends the goods according to the delivery address.
Disclosure of Invention
The invention aims to provide a commodity distribution method, which can effectively improve the commodity distribution efficiency.
The invention also provides a commodity distribution device used for ensuring the realization and the application of the method in practice.
A merchandise distribution method comprising:
when a commodity distribution request sent by a registered merchant terminal is received, obtaining a distribution order in the commodity distribution request; the delivery order comprises a goods taking address and a delivery address;
determining the delivery order as a pre-delivery order, and determining a goods taking area to which the goods taking address belongs;
storing the pre-distribution orders into a pre-distribution order list corresponding to the goods taking area, and judging whether the pre-distribution orders contained in the pre-distribution order list meet preset distribution conditions or not;
if the pre-distribution orders contained in the pre-distribution order list meet the distribution conditions, determining a target distribution robot corresponding to the goods taking area; the target delivery robot is a delivery robot in an idle state or a goods taking state at present;
if the target delivery robot is in an idle state, determining an optimal moving path based on the picking address and the delivery address of each pre-delivery order in the pre-delivery order list;
and sending the optimal moving path to the target distribution robot, so that the target distribution robot moves to the picking address of each pre-distribution order in the pre-distribution order list based on the optimal moving path to obtain the commodity corresponding to each pre-distribution order, and distributing the obtained commodity to the distribution address of each pre-distribution order.
In the above method, optionally, the determining the pickup area to which the pickup address belongs includes:
matching the goods taking address with each goods taking area in a pre-established goods taking area list;
and determining the goods taking area successfully matched with the goods taking address as the goods taking area to which the goods taking address belongs.
Optionally, the method for determining whether the pre-distribution orders included in the pre-distribution order list satisfy the preset distribution condition includes:
judging whether the number of the pre-distribution orders contained in the pre-distribution order list is larger than a preset number threshold value or not;
if the number of the pre-delivery orders contained in the pre-delivery order list is larger than the number threshold, judging that the pre-delivery orders contained in the pre-delivery order list meet the delivery conditions;
if the number of the pre-delivery orders contained in the pre-delivery order list is not larger than the number threshold, determining that the pre-delivery orders contained in the pre-delivery order list do not meet the delivery conditions.
Optionally, the method for determining an optimal moving path based on the pick-up address and the delivery address of each pre-delivery order in the pre-delivery order list includes:
obtaining a plurality of alternative moving paths corresponding to the pre-delivery order list based on the picking address and the delivery address of each pre-delivery order in the pre-delivery order list;
determining the distance of each alternative moving path;
and determining the alternative moving path with the shortest path in the alternative moving paths as the optimal moving path.
The above method, optionally, further includes:
if the target delivery robot is in a goods taking state, judging whether the residual capacity of the target delivery robot meets the capacity required by the goods corresponding to the pre-delivery order;
if so, updating the optimal moving path corresponding to the target delivery robot based on the picking address and the delivery address of the pre-delivery order;
and sending the updated optimal moving path to the target distribution robot, so that the target distribution robot moves to the goods taking address of the pre-distribution order based on the updated optimal moving path to obtain the goods corresponding to the pre-distribution order and distributes the goods to the distribution address.
Optionally, in the method, the updating the optimal moving path corresponding to the target delivery robot based on the pickup address and the delivery address of the pre-delivery order includes:
determining each non-arrived pick-up address and non-arrived delivery address in the current optimal moving path of the target delivery robot;
updating the optimal movement path based on the missed pick address, the missed delivery address, the pick address of the pre-delivery order and the delivery address of the pre-delivery order.
A merchandise dispensing device, comprising:
the system comprises a receiving unit, a sending unit and a receiving unit, wherein the receiving unit is used for acquiring a delivery order in a commodity delivery request when the commodity delivery request sent by a registered merchant terminal is received; the delivery order comprises a goods taking address and a delivery address;
the first determining unit is used for determining the delivery order as a pre-delivery order and determining a goods taking area to which the goods taking address belongs;
the order storage unit is used for storing the pre-prepared order into a pre-prepared order list corresponding to the goods taking area and judging whether the pre-prepared order contained in the pre-prepared order list meets preset distribution conditions or not;
a second determining unit, configured to determine, when a pre-prepared order included in the pre-prepared order list satisfies the delivery condition, a target delivery robot corresponding to the pickup area; the target delivery robot is a delivery robot in an idle state or a goods taking state at present;
a third determining unit, configured to determine an optimal moving path based on a pickup address and a delivery address of each pre-delivery order in the pre-delivery order list when the target delivery robot is in an idle state;
and the sending unit is used for sending the optimal moving path to the target distribution robot, so that the target distribution robot moves to the picking address of each pre-distribution order in the pre-distribution order list based on the optimal moving path to obtain the commodity corresponding to each pre-distribution order, and distributes the obtained commodity to the distribution address of each pre-distribution order.
The above apparatus, optionally, the third determining unit is configured to:
obtaining a plurality of alternative moving paths corresponding to the pre-delivery order list based on the picking address and the delivery address of each pre-delivery order in the pre-delivery order list;
determining the distance of each alternative moving path;
and determining the alternative moving path with the shortest path in the alternative moving paths as the optimal moving path.
A storage medium comprising stored instructions, wherein the instructions, when executed, control a device on which the storage medium is located to perform a product distribution method as described above.
An electronic device comprises a memory and one or more instructions, wherein the one or more instructions are stored in the memory and configured to be executed by one or more processors to execute the commodity distribution method.
Compared with the prior art, the invention has the following advantages:
the invention provides a commodity distribution method and device, a storage medium and electronic equipment, wherein the method comprises the following steps: when a commodity distribution request sent by a registered merchant terminal is received, obtaining a distribution order in the commodity distribution request; the delivery order comprises a goods taking address and a delivery address; determining the delivery order as a pre-delivery order, and determining a goods taking area to which the goods taking address belongs; storing the pre-distribution orders into a pre-distribution order list corresponding to the goods taking area, and judging whether the pre-distribution orders contained in the pre-distribution order list meet preset distribution conditions or not; if the pre-distribution orders contained in the pre-distribution order list meet the distribution conditions, determining a target distribution robot corresponding to the goods taking area; the target delivery robot is a delivery robot in an idle state or a goods taking state at present; if the target delivery robot is in an idle state, determining an optimal moving path based on the picking address and the delivery address of each pre-delivery order in the pre-delivery order list; and sending the optimal moving path to the target distribution robot, so that the target distribution robot moves to the picking address of each pre-distribution order in the pre-distribution order list based on the optimal moving path to obtain the commodity corresponding to each pre-distribution order, and distributing the obtained commodity to the distribution address of each pre-distribution order. By applying the commodity distribution method provided by the invention, the situation that a user consumes a large amount of manpower to carry the commodity to the distribution robot in a long distance can be avoided, the user does not need to consume time to search for the distribution robot, and the distribution efficiency of the commodity can be improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
FIG. 1 is a flow chart of a method for delivering commodities according to the present invention;
FIG. 2 is a flow chart of a process for determining an optimal movement path provided by the present invention;
FIG. 3 is a schematic structural view of a merchandise dispensing device according to the present invention;
fig. 4 is a schematic structural diagram of an electronic device provided in 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 only a part of the embodiments of the present invention, and not all of the embodiments. 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.
The invention is operational with numerous general purpose or special purpose computing device environments or configurations. For example: personal computers, server computers, hand-held or portable devices, tablet-type devices, multi-processor apparatus, distributed computing environments that include any of the above devices or equipment, and the like.
The embodiment of the invention provides a commodity distribution method, which can be applied to various system platforms, wherein an execution main body of the method can be a processor of a server, the server can be a computer terminal, a server cluster or a cloud computing platform, and a flow chart of the method is shown in fig. 1 and specifically comprises the following steps:
s101: when a commodity distribution request sent by a registered merchant terminal is received, obtaining a distribution order in the commodity distribution request; the delivery order includes a pick address and a delivery address.
In the method provided by the embodiment of the present invention, in a case where a commodity distribution request sent by a registered merchant terminal is received, the commodity distribution request is analyzed to obtain a distribution order included in the commodity distribution request, the commodity distribution request may further include a terminal identifier of the merchant terminal, a registration configuration file may be queried based on the terminal identifier to determine whether the merchant terminal is a registered merchant terminal, if the merchant terminal is not registered, a registration service may be provided for the merchant terminal, and after the merchant terminal is registered, the distribution order included in the commodity distribution request is obtained.
The delivery order may include a pickup address, a delivery address, merchandise information, a pickup time, and the like.
S102: and determining the delivery order as a pre-delivery order, and determining a goods taking area to which the goods taking address belongs.
In the method provided by the embodiment of the invention, each goods taking area can comprise one or more goods taking addresses, and the goods taking areas of the goods taking addresses of different pre-delivery orders can be the same or different.
S103: and storing the pre-delivery orders into a pre-delivery order list corresponding to the goods taking area, and judging whether the pre-delivery orders contained in the pre-delivery order list meet preset delivery conditions.
In the method provided by the embodiment of the invention, the pre-delivery order list corresponding to each goods taking area is set for each goods taking area in advance.
Each pre-delivery order in the pre-delivery order list can be stored according to the order of the picking time of each pre-delivery order.
S104: if the pre-distribution orders contained in the pre-distribution order list meet the distribution conditions, determining a target distribution robot corresponding to the goods taking area; the target delivery robot is a delivery robot which is in an idle state or a goods taking state at present.
In the method provided by the embodiment of the present invention, the pickup area may include one or more pickup addresses, the pickup area corresponds to one or more delivery robots, a target delivery robot is determined in each delivery robot based on a working state of each delivery robot, and the working state of each delivery robot may be an idle state, a pickup state, a delivery state, or the like; the target delivery robot may be a delivery robot in a pickup state or an idle state among the respective delivery robots.
S105: and if the target delivery robot is in an idle state, determining an optimal moving path based on the picking address and the delivery address of each pre-delivery order in the pre-delivery order list.
In the method provided by the embodiment of the present invention, the optimal moving path includes a pickup address and a delivery address of each pre-delivery order.
S106: and sending the optimal moving path to the target distribution robot, so that the target distribution robot moves to the picking address of each pre-distribution order in the pre-distribution order list based on the optimal moving path to obtain the commodity corresponding to each pre-distribution order, and distributing the obtained commodity to the distribution address of each pre-distribution order.
In the method provided by the embodiment of the invention, when the target distribution robot is detected to move to each goods picking address, reminding information of a pre-prepared delivery order corresponding to the goods picking address in a distribution order list is sent to a merchant terminal corresponding to the goods picking address so as to remind the merchant corresponding to the merchant terminal to place the specified goods in the pre-prepared delivery order into the storage compartment of the target distribution robot; after the merchant terminal sends a commodity storage completion instruction to the server or the target distribution robot, the target distribution robot closes the cabin door, and the target distribution robot moves to the next goods picking address or distribution address based on the optimal moving path.
The invention provides a commodity distribution method, which comprises the following steps: when a commodity distribution request sent by a registered merchant terminal is received, obtaining a distribution order in the commodity distribution request; the delivery order comprises a goods taking address and a delivery address; determining the delivery order as a pre-delivery order, and determining a goods taking area to which the goods taking address belongs; storing the pre-distribution orders into a pre-distribution order list corresponding to the goods taking area, and judging whether the pre-distribution orders contained in the pre-distribution order list meet preset distribution conditions or not; if the pre-distribution orders contained in the pre-distribution order list meet the distribution conditions, determining a target distribution robot corresponding to the goods taking area; the target delivery robot is a delivery robot in an idle state or a goods taking state at present; if the target delivery robot is in an idle state, determining an optimal moving path based on the picking address and the delivery address of each pre-delivery order in the pre-delivery order list; and sending the optimal moving path to the target distribution robot, so that the target distribution robot moves to the picking address of each pre-distribution order in the pre-distribution order list based on the optimal moving path to obtain the commodity corresponding to each pre-distribution order, and distributing the obtained commodity to the distribution address of each pre-distribution order. By applying the commodity distribution method provided by the invention, the situation that a user consumes a large amount of manpower to carry the commodity to the distribution robot in a long distance can be avoided, the user does not need to consume time to search for the distribution robot, and the distribution efficiency of the commodity can be improved.
In the method provided in the embodiment of the present invention, based on the above implementation process, specifically, determining the pickup area to which the pickup address belongs includes:
matching the goods taking address with each goods taking area in a pre-established goods taking area list;
and determining the goods taking area successfully matched with the goods taking address as the goods taking area to which the goods taking address belongs.
In the method provided in the embodiment of the present invention, each pickup area includes one or more pickup addresses, and one way of matching a pickup address in a pre-delivery order with each pickup area in a pre-established pickup area list may be: and comparing the goods taking address in the pre-distribution order with the goods taking address in each goods taking area, and if the goods taking address in the goods taking area is consistent with the goods taking address in the pre-distribution order in comparison, determining that the goods taking address of the pre-distribution order is successfully matched with the goods taking area.
Another way of matching the pickup address in the pre-delivery order with each pickup area in the pre-established pickup area list may be: determining the coordinates of the pickup address in a pre-established map coordinate system, and determining the coordinate range of each pickup area in the pickup area list in the map coordinate system; and matching the coordinates with each coordinate range, and determining the goods taking area corresponding to the coordinate range containing the coordinates as the goods taking area successfully matched with the goods taking address.
In the method provided in the embodiment of the present invention, based on the foregoing implementation process, specifically, one manner of determining whether the pre-distribution orders included in the pre-distribution order list satisfy the preset distribution condition may include:
judging whether the number of the pre-distribution orders contained in the pre-distribution order list is larger than a preset number threshold value or not;
if the number of the pre-delivery orders contained in the pre-delivery order list is larger than the number threshold, judging that the pre-delivery orders contained in the pre-delivery order list meet the delivery conditions;
if the number of the pre-delivery orders contained in the pre-delivery order list is not larger than the number threshold, determining that the pre-delivery orders contained in the pre-delivery order list do not meet the delivery conditions.
The number threshold may be set by actual requirements, for example, the number threshold may be set to 5, 10, or 20, etc.
In the method provided in the embodiment of the present invention, another way of determining whether the pre-provisioned orders included in the pre-provisioned order list satisfy the preset delivery condition may include:
determining whether a time interval between the current time and a target goods taking time in a pre-distribution order list is greater than a preset time threshold, if so, judging that the pre-distribution orders contained in the pre-distribution order list meet distribution conditions; if not, judging that the pre-distribution orders contained in the pre-distribution order list are not full of distribution conditions, wherein the target goods taking time is the closest goods taking time to the current time in the goods taking time of each pre-distribution order in the pre-distribution order list.
In the method provided in the embodiment of the present invention, based on the implementation process, specifically, based on the pickup address and the delivery address of each pre-delivery order in the pre-delivery order list, determining an optimal moving path may include, as shown in fig. 2:
s201: and obtaining a plurality of alternative moving paths corresponding to the pre-delivery order list based on the picking address and the delivery address of each pre-delivery order in the pre-delivery order list.
In the method provided by the embodiment of the present invention, a current location of the target delivery robot is determined, and a plurality of candidate movement paths are determined according to the current location of the target delivery robot, the pickup address of each pre-delivery order and the delivery address and according to a preset constraint rule, where each candidate movement path may include the current location of the robot, the pickup address of each pre-delivery order and the delivery address.
Wherein the constraint rule may include: for each pre-delivery order, the pickup address of the pre-delivery order has a higher mobile priority than the delivery address.
For example, the pre-delivery order list includes pre-delivery order 1, pre-delivery order 2; the method comprises the following steps of taking the current position of a target delivery robot as an origin, and determining an alternative moving path of the robot according to a pickup address A in a pre-delivery order 1, a delivery address a of the pre-delivery order 1, a pickup address B of a pre-delivery order 2 and a delivery address B of the pre-delivery order 2; the alternative movement path of the target delivery robot may comprise: the origin-A-B-a-B, origin-A-B-B-a, origin-B-A-a-B, origin-B-A-B-a, origin-A-a-B-B, and origin-B-B-A-a add up to 6 alternative movement paths.
Specifically, in order to reduce the computational complexity of the alternative paths, the priority of each pick-up address may be set to be higher than that of each delivery address, that is, the delivery robot arrives at each pick-up address to obtain the goods and delivers the goods to each delivery address, in this case, the alternative moving path of the delivery robot may include: the origin-A-B-a-B, origin-A-B-B-a, origin-B-A-a-B and origin-B-A-B-a add up to 4 alternative movement paths.
S202: determining the distance of each alternative moving path.
S203: and determining the alternative moving path with the shortest path in the alternative moving paths as the optimal moving path.
In the method provided by the embodiment of the invention, the alternative moving path with the shortest estimated moving time consumption in each alternative moving path can be determined as the optimal moving path, wherein the estimated moving time consumption of the alternative moving path can be calculated according to historical moving data.
In the method provided in the embodiment of the present invention, based on the implementation process, specifically, the method further includes:
if the target delivery robot is in a goods taking state, judging whether the residual capacity of the target delivery robot meets the capacity required by the goods corresponding to the pre-delivery order;
if the residual capacity of the target delivery robot meets the capacity required by the commodities corresponding to the pre-delivery order, updating the optimal moving path corresponding to the target delivery robot based on the picking address and the delivery address of the pre-delivery order;
and sending the updated optimal moving path to the target distribution robot, so that the target distribution robot moves to the goods taking address of the pre-distribution order based on the updated optimal moving path to obtain the goods corresponding to the pre-distribution order and distributes the goods to the distribution address.
In the method provided by the embodiment of the present invention, the remaining capacity of the target delivery robot may be determined according to the capacity of the target delivery robot and the required capacity of the commodities of each pre-delivery order currently corresponding to the delivery robot.
Optionally, the target delivery robot is in a pickup state to indicate that the target delivery robot is currently performing a pickup task, wherein if a pickup address that the target delivery robot does not arrive at exists in an optimal moving path of the target delivery robot, it may be determined that the target delivery robot is in the pickup state.
Specifically, if the remaining capacity of the target delivery robot does not satisfy the capacity required for the product corresponding to the pre-delivery order, a new target delivery robot may be newly identified among the delivery robots other than the target delivery robot in the pickup area.
In the method provided in the embodiment of the present invention, based on the implementation process, specifically, the updating the optimal moving path corresponding to the target delivery robot based on the pickup address and the delivery address of the pre-delivery order includes:
determining each non-arrived pick-up address and non-arrived delivery address in the current optimal moving path of the target delivery robot;
updating the optimal movement path based on the missed pick address, the missed delivery address, the pick address of the pre-delivery order and the delivery address of the pre-delivery order.
In the method provided by the embodiment of the invention, the current position of the target delivery robot can be obtained, and the goods taking address and the delivery address which are not reached by the target delivery robot currently are determined based on the movement record of the target delivery robot; and determining a new optimal moving path for replacing the original optimal moving path based on the current position of the target delivery robot, each non-arrived delivery address and the currently received delivery address and delivery address of the pre-delivered order, thereby realizing updating of the optimal moving path.
The commodity distribution method provided by the invention can be applied to various fields, for example, the method can be used for carrying out commodity distribution for customers of a hotel, when a merchant outside the hotel needs to distribute commodities to the customers of the hotel, a commodity distribution request is sent to a server of a robot distribution system running in the hotel through a merchant terminal, a processor of the server of the hotel receives the commodity distribution request, a merchant terminal identifier of the commodity distribution request is obtained, whether the merchant terminal is a registered terminal is judged based on the merchant terminal identifier, if yes, a commodity distribution order in the commodity distribution request is obtained, the distribution order is determined to be a pre-distribution order, and a goods taking area to which a goods taking address of the pre-distribution order belongs is determined; storing the pre-distribution order list into a pre-distribution order list corresponding to the goods taking area, and judging whether the pre-distribution order list contained in the pre-distribution order list meets preset distribution conditions or not; if the pre-distribution orders contained in the pre-distribution order list meet distribution conditions, determining a target distribution robot corresponding to the goods taking area; if the target delivery robot is in an idle state, determining an optimal moving path based on the picking address and the delivery address of each pre-delivery order in the pre-delivery order list; and sending the optimal moving path to the target distribution robot, so that the target distribution robot moves to the goods taking address of each pre-distribution order in the pre-distribution order list based on the optimal moving path to obtain the goods corresponding to each pre-distribution order, and distributing the obtained goods to the distribution address of each pre-distribution order.
When the target distribution robot reaches each goods taking address, determining each pre-distribution order corresponding to the goods taking address, respectively sending arrival information to a user side corresponding to each pre-distribution order, enabling the user side to establish communication connection with the target distribution robot, enabling a merchant and a user to perform text interaction, voice interaction or video interaction so as to determine goods applied to the pre-distribution order pair, generating payment information when a server or the robot receives a confirmation instruction, sending the payment information to the user side to remind the user of paying, and triggering the target distribution robot to distribute the goods to the distribution address of the pre-distribution order based on an optimal moving path after the user pays successfully, so that the goods are distributed to a house gate of the user.
Corresponding to the method illustrated in fig. 1, an embodiment of the present invention further provides a commodity distribution device, which is used for implementing the method illustrated in fig. 1 specifically, the commodity distribution device provided in the embodiment of the present invention may be applied to a server, and a schematic structural diagram of the commodity distribution device is illustrated in fig. 3, and specifically includes:
a receiving unit 301, configured to, when receiving a commodity distribution request sent by a registered merchant terminal, obtain a distribution order in the commodity distribution request; the delivery order comprises a goods taking address and a delivery address;
a first determining unit 302, configured to determine the delivery order as a pre-delivery order, and determine a pickup area to which the pickup address belongs;
an order storage unit 303, configured to store the pre-prepared order in a pre-prepared order list corresponding to the pickup area, and determine whether the pre-prepared order included in the pre-prepared order list meets a preset distribution condition;
a second determining unit 304, configured to determine, when a pre-prepared order included in the pre-prepared order list satisfies the delivery condition, a target delivery robot corresponding to the pickup area; the target delivery robot is a delivery robot in an idle state or a goods taking state at present;
a third determining unit 305, configured to determine an optimal moving path based on the pick-up address and the delivery address of each pre-delivery order in the pre-delivery order list when the target delivery robot is in an idle state;
a sending unit 306, configured to send the optimal moving path to the target distribution robot, so that the target distribution robot moves to the pick-up address of each pre-distribution order in the pre-distribution order list based on the optimal moving path to obtain a commodity corresponding to each pre-distribution order, and distributes the obtained commodity to the distribution address of each pre-distribution order.
The invention provides a commodity distribution device, which is used for acquiring a distribution order in a commodity distribution request when receiving the commodity distribution request sent by a registered merchant terminal; the delivery order comprises a goods taking address and a delivery address; determining the delivery order as a pre-delivery order, and determining a goods taking area to which the goods taking address belongs; storing the pre-distribution orders into a pre-distribution order list corresponding to the goods taking area, and judging whether the pre-distribution orders contained in the pre-distribution order list meet preset distribution conditions or not; if the pre-distribution orders contained in the pre-distribution order list meet the distribution conditions, determining a target distribution robot corresponding to the goods taking area; the target delivery robot is a delivery robot in an idle state or a goods taking state at present; if the target delivery robot is in an idle state, determining an optimal moving path based on the picking address and the delivery address of each pre-delivery order in the pre-delivery order list; and sending the optimal moving path to the target distribution robot, so that the target distribution robot moves to the picking address of each pre-distribution order in the pre-distribution order list based on the optimal moving path to obtain the commodity corresponding to each pre-distribution order, and distributing the obtained commodity to the distribution address of each pre-distribution order. By applying the commodity distribution device provided by the invention, the situation that a user consumes a large amount of manpower to carry commodities to the distribution robot in a long distance can be avoided, the user does not need to spend time to search for the distribution robot, and the distribution efficiency of the commodities can be improved.
In an embodiment provided by the present invention, based on the above scheme, specifically, the third determining unit 305 is configured to:
obtaining a plurality of alternative moving paths corresponding to the pre-delivery order list based on the picking address and the delivery address of each pre-delivery order in the pre-delivery order list;
determining the distance of each alternative moving path;
and determining the alternative moving path with the shortest path in the alternative moving paths as the optimal moving path.
In another embodiment provided by the present invention, based on the above scheme, specifically, the first determining unit 302 for determining the pickup area to which the pickup address belongs is configured to:
matching the goods taking address with each goods taking area in a pre-established goods taking area list;
and determining the goods taking area successfully matched with the goods taking address as the goods taking area to which the goods taking address belongs.
In another embodiment of the present invention, based on the above scheme, specifically, the order storing unit 303 for determining whether the pre-prepared orders included in the pre-prepared order list satisfy the preset delivery conditions is configured to:
judging whether the number of the pre-distribution orders contained in the pre-distribution order list is larger than a preset number threshold value or not;
if the number of the pre-delivery orders contained in the pre-delivery order list is larger than the number threshold, judging that the pre-delivery orders contained in the pre-delivery order list meet the delivery conditions;
if the number of the pre-delivery orders contained in the pre-delivery order list is not larger than the number threshold, determining that the pre-delivery orders contained in the pre-delivery order list do not meet the delivery conditions.
In another embodiment of the present invention, based on the above scheme, specifically, the article dispensing device is further configured to:
if the target delivery robot is in a goods taking state, judging whether the residual capacity of the target delivery robot meets the capacity required by the goods corresponding to the pre-delivery order;
if so, updating the optimal moving path corresponding to the target delivery robot based on the picking address and the delivery address of the pre-delivery order;
and sending the updated optimal moving path to the target distribution robot, so that the target distribution robot moves to the goods taking address of the pre-distribution order based on the updated optimal moving path to obtain the goods corresponding to the pre-distribution order and distributes the goods to the distribution address.
In another embodiment of the present invention, based on the above scheme, specifically, the article dispensing device is further configured to:
determining each non-arrived pick-up address and non-arrived delivery address in the current optimal moving path of the target delivery robot;
updating the optimal movement path based on the missed pick address, the missed delivery address, the pick address of the pre-delivery order and the delivery address of the pre-delivery order.
The specific principle and the implementation process of each unit and module in the commodity distribution device disclosed in the above embodiment of the present invention are the same as those of the commodity distribution method disclosed in the above embodiment of the present invention, and reference may be made to corresponding parts in the commodity distribution method provided in the above embodiment of the present invention, and details are not described here.
An embodiment of the present invention further provides a storage medium, where the storage medium includes a stored instruction, where when the instruction runs, a device in which the storage medium is located is controlled to execute the commodity distribution method, and the method specifically includes:
when a commodity distribution request sent by a registered merchant terminal is received, obtaining a distribution order in the commodity distribution request; the delivery order comprises a goods taking address and a delivery address;
determining the delivery order as a pre-delivery order, and determining a goods taking area to which the goods taking address belongs;
storing the pre-distribution orders into a pre-distribution order list corresponding to the goods taking area, and judging whether the pre-distribution orders contained in the pre-distribution order list meet preset distribution conditions or not;
if the pre-distribution orders contained in the pre-distribution order list meet the distribution conditions, determining a target distribution robot corresponding to the goods taking area; the target delivery robot is a delivery robot in an idle state or a goods taking state at present;
if the target delivery robot is in an idle state, determining an optimal moving path based on the picking address and the delivery address of each pre-delivery order in the pre-delivery order list;
and sending the optimal moving path to the target distribution robot, so that the target distribution robot moves to the picking address of each pre-distribution order in the pre-distribution order list based on the optimal moving path to obtain the commodity corresponding to each pre-distribution order, and distributing the obtained commodity to the distribution address of each pre-distribution order.
In the above method, optionally, the determining the pickup area to which the pickup address belongs includes:
matching the goods taking address with each goods taking area in a pre-established goods taking area list;
and determining the goods taking area successfully matched with the goods taking address as the goods taking area to which the goods taking address belongs.
Optionally, the method for determining whether the pre-distribution orders included in the pre-distribution order list satisfy the preset distribution condition includes:
judging whether the number of the pre-distribution orders contained in the pre-distribution order list is larger than a preset number threshold value or not;
if the number of the pre-delivery orders contained in the pre-delivery order list is larger than the number threshold, judging that the pre-delivery orders contained in the pre-delivery order list meet the delivery conditions;
if the number of the pre-delivery orders contained in the pre-delivery order list is not larger than the number threshold, determining that the pre-delivery orders contained in the pre-delivery order list do not meet the delivery conditions.
Optionally, the method for determining an optimal moving path based on the pick-up address and the delivery address of each pre-delivery order in the pre-delivery order list includes:
obtaining a plurality of alternative moving paths corresponding to the pre-delivery order list based on the picking address and the delivery address of each pre-delivery order in the pre-delivery order list;
determining the distance of each alternative moving path;
and determining the alternative moving path with the shortest path in the alternative moving paths as the optimal moving path.
The above method, optionally, further includes:
if the target delivery robot is in a goods taking state, judging whether the residual capacity of the target delivery robot meets the capacity required by the goods corresponding to the pre-delivery order;
if so, updating the optimal moving path corresponding to the target delivery robot based on the picking address and the delivery address of the pre-delivery order;
and sending the updated optimal moving path to the target distribution robot, so that the target distribution robot moves to the goods taking address of the pre-distribution order based on the updated optimal moving path to obtain the goods corresponding to the pre-distribution order and distributes the goods to the distribution address.
Optionally, in the method, the updating the optimal moving path corresponding to the target delivery robot based on the pickup address and the delivery address of the pre-delivery order includes:
determining each non-arrived pick-up address and non-arrived delivery address in the current optimal moving path of the target delivery robot;
updating the optimal movement path based on the missed pick address, the missed delivery address, the pick address of the pre-delivery order and the delivery address of the pre-delivery order.
An electronic device is provided in an embodiment of the present invention, and the structural diagram of the electronic device is shown in fig. 4, which specifically includes a memory 401 and one or more instructions 402, where the one or more instructions 402 are stored in the memory 401 and configured to be executed by one or more processors 403 to perform the following operations for executing the one or more instructions 402:
when a commodity distribution request sent by a registered merchant terminal is received, obtaining a distribution order in the commodity distribution request; the delivery order comprises a goods taking address and a delivery address;
determining the delivery order as a pre-delivery order, and determining a goods taking area to which the goods taking address belongs;
storing the pre-distribution orders into a pre-distribution order list corresponding to the goods taking area, and judging whether the pre-distribution orders contained in the pre-distribution order list meet preset distribution conditions or not;
if the pre-distribution orders contained in the pre-distribution order list meet the distribution conditions, determining a target distribution robot corresponding to the goods taking area; the target delivery robot is a delivery robot in an idle state or a goods taking state at present;
if the target delivery robot is in an idle state, determining an optimal moving path based on the picking address and the delivery address of each pre-delivery order in the pre-delivery order list;
and sending the optimal moving path to the target distribution robot, so that the target distribution robot moves to the picking address of each pre-distribution order in the pre-distribution order list based on the optimal moving path to obtain the commodity corresponding to each pre-distribution order, and distributing the obtained commodity to the distribution address of each pre-distribution order.
It should be noted that, in the present specification, the embodiments are all described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments may be referred to each other. For the device-like embodiment, since it is basically similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
For convenience of description, the above devices are described as being divided into various units by function, and are described separately. Of course, the functions of the units may be implemented in the same software and/or hardware or in a plurality of software and/or hardware when implementing the invention.
From the above description of the embodiments, it is clear to those skilled in the art that the present invention can be implemented by software plus necessary general hardware platform. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which may be stored in a storage medium, such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method according to the embodiments or some parts of the embodiments.
The above detailed description is provided for the merchandise distribution method provided by the present invention, and the principle and the implementation of the present invention are explained by applying specific examples, and the description of the above examples is only used to help understanding the method and the core idea of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (10)
1. A method of dispensing a commodity, comprising:
when a commodity distribution request sent by a registered merchant terminal is received, obtaining a distribution order in the commodity distribution request; the delivery order comprises a goods taking address and a delivery address;
determining the delivery order as a pre-delivery order, and determining a goods taking area to which the goods taking address belongs;
storing the pre-distribution orders into a pre-distribution order list corresponding to the goods taking area, and judging whether the pre-distribution orders contained in the pre-distribution order list meet preset distribution conditions or not;
if the pre-distribution orders contained in the pre-distribution order list meet the distribution conditions, determining a target distribution robot corresponding to the goods taking area; the target delivery robot is a delivery robot in an idle state or a goods taking state at present;
if the target delivery robot is in an idle state, determining an optimal moving path based on the picking address and the delivery address of each pre-delivery order in the pre-delivery order list;
and sending the optimal moving path to the target distribution robot, so that the target distribution robot moves to the picking address of each pre-distribution order in the pre-distribution order list based on the optimal moving path to obtain the commodity corresponding to each pre-distribution order, and distributing the obtained commodity to the distribution address of each pre-distribution order.
2. The method of claim 1, wherein the determining a pickup area to which the pickup address belongs comprises:
matching the goods taking address with each goods taking area in a pre-established goods taking area list;
and determining the goods taking area successfully matched with the goods taking address as the goods taking area to which the goods taking address belongs.
3. The method of claim 1, wherein said determining whether the pre-provisioned orders included in the pre-provisioned order list satisfy the pre-configured delivery conditions comprises:
judging whether the number of the pre-distribution orders contained in the pre-distribution order list is larger than a preset number threshold value or not;
if the number of the pre-delivery orders contained in the pre-delivery order list is larger than the number threshold, judging that the pre-delivery orders contained in the pre-delivery order list meet the delivery conditions;
if the number of the pre-delivery orders contained in the pre-delivery order list is not larger than the number threshold, determining that the pre-delivery orders contained in the pre-delivery order list do not meet the delivery conditions.
4. The method of claim 1, wherein determining an optimal movement path based on a pick address and a delivery address of each pre-delivery order in the list of pre-delivery orders comprises:
obtaining a plurality of alternative moving paths corresponding to the pre-delivery order list based on the picking address and the delivery address of each pre-delivery order in the pre-delivery order list;
determining the distance of each alternative moving path;
and determining the alternative moving path with the shortest path in the alternative moving paths as the optimal moving path.
5. The method of claim 1, further comprising:
if the target delivery robot is in a goods taking state, judging whether the residual capacity of the target delivery robot meets the capacity required by the goods corresponding to the pre-delivery order;
if so, updating the optimal moving path corresponding to the target delivery robot based on the picking address and the delivery address of the pre-delivery order;
and sending the updated optimal moving path to the target distribution robot, so that the target distribution robot moves to the goods taking address of the pre-distribution order based on the updated optimal moving path to obtain the goods corresponding to the pre-distribution order and distributes the goods to the distribution address.
6. The method of claim 5, wherein updating the optimal movement path for the target delivery robot based on the pick address and the delivery address of the pre-delivery order comprises:
determining each non-arrived pick-up address and non-arrived delivery address in the current optimal moving path of the target delivery robot;
updating the optimal movement path based on the missed pick address, the missed delivery address, the pick address of the pre-delivery order and the delivery address of the pre-delivery order.
7. An article dispensing device, comprising:
the system comprises a receiving unit, a sending unit and a receiving unit, wherein the receiving unit is used for acquiring a delivery order in a commodity delivery request when the commodity delivery request sent by a registered merchant terminal is received; the delivery order comprises a goods taking address and a delivery address;
the first determining unit is used for determining the delivery order as a pre-delivery order and determining a goods taking area to which the goods taking address belongs;
the order storage unit is used for storing the pre-prepared order into a pre-prepared order list corresponding to the goods taking area and judging whether the pre-prepared order contained in the pre-prepared order list meets preset distribution conditions or not;
a second determining unit, configured to determine, when a pre-prepared order included in the pre-prepared order list satisfies the delivery condition, a target delivery robot corresponding to the pickup area; the target delivery robot is a delivery robot in an idle state or a goods taking state at present;
a third determining unit, configured to determine an optimal moving path based on a pickup address and a delivery address of each pre-delivery order in the pre-delivery order list when the target delivery robot is in an idle state;
and the sending unit is used for sending the optimal moving path to the target distribution robot, so that the target distribution robot moves to the picking address of each pre-distribution order in the pre-distribution order list based on the optimal moving path to obtain the commodity corresponding to each pre-distribution order, and distributes the obtained commodity to the distribution address of each pre-distribution order.
8. The apparatus of claim 7, wherein the third determining unit is configured to:
obtaining a plurality of alternative moving paths corresponding to the pre-delivery order list based on the picking address and the delivery address of each pre-delivery order in the pre-delivery order list;
determining the distance of each alternative moving path;
and determining the alternative moving path with the shortest path in the alternative moving paths as the optimal moving path.
9. A storage medium comprising stored instructions, wherein the instructions, when executed, control a device on which the storage medium is located to perform a product distribution method according to any one of claims 1 to 6.
10. An electronic device comprising a memory and one or more instructions, wherein the one or more instructions are stored in the memory and configured to be executed by one or more processors to perform the method of any one of claims 1 to 6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010499612.5A CN111401822B (en) | 2020-06-04 | 2020-06-04 | Commodity distribution method and device, storage medium and electronic equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010499612.5A CN111401822B (en) | 2020-06-04 | 2020-06-04 | Commodity distribution method and device, storage medium and electronic equipment |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111401822A true CN111401822A (en) | 2020-07-10 |
| CN111401822B CN111401822B (en) | 2020-10-27 |
Family
ID=71437628
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010499612.5A Active CN111401822B (en) | 2020-06-04 | 2020-06-04 | Commodity distribution method and device, storage medium and electronic equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111401822B (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112183932A (en) * | 2020-08-28 | 2021-01-05 | 广州赛特智能科技有限公司 | Robot distribution task scheduling method and system |
| CN112348435A (en) * | 2020-10-29 | 2021-02-09 | 口碑(上海)信息技术有限公司 | Task pushing method and device, computer equipment and computer readable storage medium |
| CN112465439A (en) * | 2021-02-02 | 2021-03-09 | 红石阳光（北京）科技股份有限公司 | Logistics distribution method and system based on intelligent brain control robot |
| CN112561426A (en) * | 2020-12-09 | 2021-03-26 | 北京云迹科技有限公司 | Order distribution method and device |
| CN112700193A (en) * | 2020-12-30 | 2021-04-23 | 拉扎斯网络科技（上海）有限公司 | Order distribution method and device, computing equipment and computer readable storage medium |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8972045B1 (en) * | 2013-09-23 | 2015-03-03 | Amazon Technologies, Inc. | Inter-facility transport in inventory management and fulfillment systems |
| CN106228302A (en) * | 2016-07-21 | 2016-12-14 | 上海仙知机器人科技有限公司 | A kind of method and apparatus for carrying out task scheduling in target area |
| CN107316167A (en) * | 2017-06-28 | 2017-11-03 | 北京惠赢天下网络技术有限公司 | A kind of allocator and device based on shops position of distributors |
| CN108672308A (en) * | 2018-05-18 | 2018-10-19 | 北京极智嘉科技有限公司 | A kind of goods sorting system and method |
| CN110110923A (en) * | 2019-05-05 | 2019-08-09 | 北京云迹科技有限公司 | A kind of order allocation method and device |
| WO2020074567A1 (en) * | 2018-10-09 | 2020-04-16 | Starship Technologies Oü | Method and system for planning item deliveries |
-
2020
- 2020-06-04 CN CN202010499612.5A patent/CN111401822B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8972045B1 (en) * | 2013-09-23 | 2015-03-03 | Amazon Technologies, Inc. | Inter-facility transport in inventory management and fulfillment systems |
| CN106228302A (en) * | 2016-07-21 | 2016-12-14 | 上海仙知机器人科技有限公司 | A kind of method and apparatus for carrying out task scheduling in target area |
| CN107316167A (en) * | 2017-06-28 | 2017-11-03 | 北京惠赢天下网络技术有限公司 | A kind of allocator and device based on shops position of distributors |
| CN108672308A (en) * | 2018-05-18 | 2018-10-19 | 北京极智嘉科技有限公司 | A kind of goods sorting system and method |
| WO2020074567A1 (en) * | 2018-10-09 | 2020-04-16 | Starship Technologies Oü | Method and system for planning item deliveries |
| CN110110923A (en) * | 2019-05-05 | 2019-08-09 | 北京云迹科技有限公司 | A kind of order allocation method and device |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112183932A (en) * | 2020-08-28 | 2021-01-05 | 广州赛特智能科技有限公司 | Robot distribution task scheduling method and system |
| CN112348435A (en) * | 2020-10-29 | 2021-02-09 | 口碑(上海)信息技术有限公司 | Task pushing method and device, computer equipment and computer readable storage medium |
| CN112348435B (en) * | 2020-10-29 | 2023-12-01 | 口碑(上海)信息技术有限公司 | Task pushing method, device, computer equipment and computer readable storage medium |
| CN112561426A (en) * | 2020-12-09 | 2021-03-26 | 北京云迹科技有限公司 | Order distribution method and device |
| CN112700193A (en) * | 2020-12-30 | 2021-04-23 | 拉扎斯网络科技（上海）有限公司 | Order distribution method and device, computing equipment and computer readable storage medium |
| CN112465439A (en) * | 2021-02-02 | 2021-03-09 | 红石阳光（北京）科技股份有限公司 | Logistics distribution method and system based on intelligent brain control robot |
| CN112465439B (en) * | 2021-02-02 | 2021-05-11 | 红石阳光（北京）科技股份有限公司 | Logistics distribution method and system based on intelligent brain control robot |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111401822B (en) | 2020-10-27 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111401822B (en) | Commodity distribution method and device, storage medium and electronic equipment | |
| US11915170B2 (en) | Delivery agent network management | |
| CN107122866B (en) | Method, equipment and storage medium for predicting order cancelling behavior of passenger | |
| US20180121875A1 (en) | Delivery prediction automation and risk mitigation | |
| CN107818498B (en) | Order allocation calculation method and system, server and storage medium | |
| US10909494B2 (en) | System for collaborative logistics using a collaborative logistics map and a knowledge graph | |
| CN111553548B (en) | Goods picking method and device | |
| JP2018180821A (en) | Warehouse management server and warehouse management method | |
| CN110861104B (en) | Method, medium, terminal and device for assisting robot in conveying articles | |
| CN110414883A (en) | Cargo transport and ordering method, equipment and storage medium | |
| WO2022206591A1 (en) | Delivery order processing methods and apparatuses, and computer device | |
| CN111144789A (en) | Service distribution method and device | |
| US11863463B1 (en) | System and method for object-response asset authorization and pairing | |
| WO2019000786A1 (en) | Order assigning method and device | |
| CN112700193A (en) | Order distribution method and device, computing equipment and computer readable storage medium | |
| CN116090942A (en) | Multi-scene robot distribution method and system based on Internet of things | |
| CN110807612A (en) | Method and device for determining residual capacity | |
| CN113887828B (en) | Intelligent supply chain production, transportation and marketing cooperation and real-time network planning method and device | |
| WO2024103974A1 (en) | Path planning method, system and apparatus, electronic device, and storage medium | |
| WO2024045702A1 (en) | Order assignment method and apparatus, electronic device, and computer readable medium | |
| JP2018180822A (en) | Warehouse management server, warehouse management method, and warehouse management program | |
| CN113919734A (en) | Order distribution method and device | |
| CN115222328A (en) | Logistics tracking method, device, equipment and medium | |
| CN112474368B (en) | Goods picking method, device, equipment and computer readable medium | |
| CN110826751B (en) | Method and device for picking goods |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CP01 | Change in the name or title of a patent holder |
Address after: Room 702, 7th floor, NO.67, Beisihuan West Road, Haidian District, Beijing 100080 Patentee after: Beijing Yunji Technology Co.,Ltd. Address before: Room 702, 7th floor, NO.67, Beisihuan West Road, Haidian District, Beijing 100080 Patentee before: BEIJING YUNJI TECHNOLOGY Co.,Ltd. |
|
| CP01 | Change in the name or title of a patent holder |