CN116090929A - Logistics information management method, system and storage medium - Google Patents

Abstract

The invention relates to a logistics information management method, a logistics information management system and a storage medium. The logistics information management method involves sorting packages to the cargo holds of the unmanned vehicles; associating the unmanned carrier cargo compartment identification with the package identification, and applying for the unmanned carrier; generating a waybill in response to determining that the unmanned vehicle is successfully applied; and associating the unmanned carrier identifier, the waybill identifier, the package identifier and the unmanned carrier cargo compartment identifier. In the scheme, unmanned (or near unmanned) transportation process can be realized to reduce the human cost and improve the accuracy and the efficiency of commodity circulation parcel transportation.

Description

Logistics information management method, system and storage medium

technical field

The invention relates to the technical field of logistics, in particular to a logistics information management method, system storage and storage medium.

Background technique

With the development of unmanned vehicle technology, unmanned vehicles are more and more used in the field of logistics. In cities, unmanned vehicles such as drones fly in the air, which can greatly reduce the impact on ground traffic; in rural areas, unmanned vehicles such as drones can fly over mountains, rivers and grasslands to transport goods Reach places that are difficult for vehicles to reach. In addition, the rise of unmanned vehicles such as unmanned vehicles and drones has greatly reduced labor costs. At the destination, an intelligent logistics terminal capable of cooperating with unmanned vehicles can be set up for parking and unloading of unmanned vehicles, which is convenient for users to pick up goods.

At present, the transportation process such as sorting, loading, waybill application and delivery of logistics packages is generally carried out by human operators. On the one hand, logistics package transportation by human operators leads to a huge waste of manpower, resulting in a significant increase in transportation costs. On the other hand, certain errors will inevitably occur in the logistics package transportation by human operators, which will have an adverse impact on the timeliness of logistics.

Therefore, it is desired to provide a logistics information management method and system to realize unmanned (or close to unmanned) transportation process, so as to reduce labor costs and improve the accuracy and efficiency of logistics package transportation.

Contents of the invention

The purpose of the present invention is to at least solve the shortcomings in the prior art, provide a logistics information management method, system and storage medium, and solve the problems of high labor cost, low accuracy and low efficiency of logistics transportation.

According to an embodiment of the present disclosure, a logistics information management method is provided, including sorting packages to the unmanned vehicle cargo compartment; associating the identification of the unmanned vehicle cargo compartment with the package identification, and applying for the unmanned vehicle; responding to determining that the application has no If the human vehicle is successfully carried, the waybill is generated; and the unmanned vehicle identification, the waybill identification, the package identification and the unmanned vehicle cargo compartment identification are associated.

The logistics information management method according to the embodiment of the present disclosure further includes inquiring about the status of the logistics terminal, wherein sorting the parcels to the cargo compartment of the drone is based on the inquired status of the logistics terminal.

The logistics information management method according to an embodiment of the present disclosure further includes, periodically or based on the number of unsorted packages exceeding a threshold, inquiring about the status of the logistics terminal.

The logistics information management method according to the embodiment of the present disclosure further includes that sorting the parcels into the cargo compartment of the unmanned vehicle includes sorting the parcels corresponding to the geographical location of the queried logistics terminal into the cargo compartment of the unmanned vehicle.

According to the logistics information management method of the embodiment of the present disclosure, the status of the logistics terminal includes: the running status of the logistics terminal, the specification of the current free cargo space of the logistics terminal, the number of the current free cargo space of the logistics terminal, and the response to the logistics terminal running status If it is normal, and the current number of free cargo slots in the logistics terminal is greater than zero, sort packages into unmanned cargo compartments.

The logistics information management method according to an embodiment of the present disclosure further includes identifying the package size using a camera.

According to the logistics information management method of the embodiment of the present disclosure, sorting the parcels into the cargo compartment of the unmanned vehicle includes removing the parcels whose size exceeds the maximum cargo space specification of the logistics terminal.

The logistics information management method according to the embodiment of the present disclosure further includes using a camera to identify the package identifier.

The logistics information management method according to the embodiment of the present disclosure further includes sorting the parcels into the cargo compartment of the unmanned vehicle according to the specification of the current free cargo space of the logistics terminal, the number of the current free cargo spaces of the logistics terminal, the size of the identified package, and the size of the unmanned vehicle. The package size in the cargo bay, the number of packages in the unmanned vehicle cargo bay; in response to sorting the packages to the unmanned vehicle cargo bay, updating the number of packages sorted into the unmanned vehicle cargo bay, the package size, and the package identification.

In the logistics information management method according to an embodiment of the present disclosure, sorting the parcels into the cargo compartment of the unmanned vehicle includes determining that the sorting is complete, wherein determining that the sorting is complete is based on at least one of the following items: in the cargo compartment of the unmanned vehicle The package size and number of packages are consistent with the specifications of the current free storage space of the logistics terminal and the number of current free storage spaces of the logistics terminal; and the cargo compartment of the unmanned vehicle is filled.

The logistics information management method according to the embodiment of the present disclosure further includes querying the operation status of the logistics terminal, and applying for an unmanned vehicle based on the query operation status of the logistics terminal is normal, wherein applying for the unmanned vehicle includes querying that it is in a ready state and apply for one of the unmanned vehicles in the ready state; based on one of the unmanned vehicles in the ready state being assigned to the cargo compartment of the unmanned vehicle, it is determined that the application for the unmanned vehicle is successful ; and in response to determining that the application for the unmanned vehicle is successful, modifying the state of one of the unmanned vehicles assigned to the unmanned vehicle cargo bay to the state to be coupled.

The logistics information management method according to the embodiment of the present disclosure further includes identifying the identifier of the unmanned vehicle to be coupled, and determining one of the unmanned vehicle to be coupled and the applied unmanned vehicle in a ready state is the same unmanned vehicle; and in response to determining that the unmanned vehicle to be coupled is the same one of the unmanned vehicles in the ready state of the application, the unmanned vehicle identification, waybill The identification, package identification and unmanned vehicle cargo compartment identification are associated; the unmanned vehicle cargo compartment is coupled with the unmanned vehicle, and the status of one of the unmanned vehicles in the ready state is modified to coupling completion state.

The logistics information management method according to an embodiment of the present disclosure further includes, using at least one of the waybill identifier and the package identifier to inquire about the logistics status of the package, and the logistics status of the package includes at least undelivered when the package has not been delivered by an unmanned vehicle Status, the delivery status of the package being delivered by an unmanned vehicle, and the delivery status of the package that has been delivered to the destination by an unmanned vehicle.

According to an embodiment of the present disclosure, a logistics information management system is provided, including: an unmanned vehicle, an unmanned vehicle cargo compartment, and a processing device configured to: sort packages to the unmanned vehicle cargo compartment; Associate the identity of the cargo compartment of the human carrier with the identifier of the package, and apply for the unmanned carrier; in response to determining that the application for the unmanned carrier is successful, generate the waybill; IDs are associated.

According to an embodiment of the present disclosure, there is provided a computer-readable storage medium on which instructions are stored, which, when executed by one or more processes, cause the one or more processors to perform the logistics information management method as described above.

Description of drawings

Fig. 1 shows the overall schematic diagram of a kind of unmanned aerial vehicle logistics system;

2 is a flowchart of an example logistics information management method according to an embodiment of the present disclosure;

3 is another flowchart of an example logistics information management method according to the present disclosure;

Figure 4 is an example sorting process flow diagram according to an embodiment of the present disclosure;

FIG. 5 is an example logistics information management system according to an embodiment of the present disclosure.

Detailed ways

Before proceeding to the detailed description that follows, it may be advantageous to set forth definitions of certain words and phrases used throughout this patent document. The terms "include" and "comprising" and their derivatives mean including but not limited to. The term "or" is inclusive, meaning and/or. The phrase "associated with" and its derivatives mean to include, comprise, interconnect, contain, comprise, connect or be connected to, couple to or be coupled with, ...communicating, cooperating, interweaving, juxtaposing, approaching, binding or being bound to, having, having attributes, having relation to or being related to, etc. The term "controller" refers to any device, system, or portion thereof that controls at least one operation. Such a controller may be implemented in hardware, or a combination of hardware and software and/or firmware. The functionality associated with any particular controller may be centralized or distributed, whether locally or remotely. The phrase "at least one", when used in conjunction with a list of items, means that various combinations of one or more of the listed items may be used, and that only one of the listed items may be required. For example, "at least one of A, B, and C" includes any one of the following combinations: A, B, C, A and B, A and C, B and C, A and B and C.

Definitions for other certain words and phrases are provided throughout this patent document. Those of ordinary skill in the art should understand that in many, if not most instances, such definitions apply to prior, as well as future uses of such defined words and phrases.

Various embodiments of the principles of the present disclosure in this patent document are described below in conjunction with the accompanying drawings by way of illustration only and should not be construed in any way to limit the scope of the disclosure. Those skilled in the art will understand that the principles of the present disclosure may be implemented in any suitably arranged system or device. In some cases, the actions described herein can be performed in a different order and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In certain embodiments, multitasking and parallel processing may be advantageous.

Unmanned vehicles can be used to assist in the transport of items from one location to another. Such a vehicle may operate in a remote control mode, an autonomous mode, or a partially autonomous mode in which a user may provide some initial input, such as a pick-up or destination location, and the unmanned vehicle steers itself to that location. Location.

There are various types of unmanned vehicles, such as vehicles, watercraft, aircraft, etc., used in a variety of different environments. For example, drones are configured to operate (eg, fly) in the air. Examples of unmanned aerial vehicles may include fixed-wing aircraft, gliders, stand-up aircraft, jet aircraft, ducted fan aircraft, lighter-than-air craft such as airships or steerable balloons, rotorcraft such as helicopters or multirotor aircraft) and/or orthopter, among other possibilities. There are also unmanned vehicles for hybrid operations where multi-environment operations are possible. Examples of hybrid unmanned vehicles include amphibious boats capable of operating on land and water or seaplanes capable of landing on both water and land. Other examples are also possible.

The logistics terminal may include service equipment, such as express cabinets, which are set up in public places (such as next to streets or open spaces adjacent to buildings) for delivery and pick-up of parcels. Alternatively, the logistics terminal may include service equipment set up in a private area (such as a private open balcony or a private courtyard in a building) for delivering and picking up packages. The logistics terminal can be an independent device, or it can be built together with other functional devices. Next, the present disclosure will be described with reference to examples of drones and express cabinets, but those skilled in the art should understand that the technical solutions disclosed herein can be applied to various unmanned vehicles and various logistics terminals.

FIG. 1 shows an overall schematic diagram of an unmanned aerial vehicle logistics system, which includes an unmanned aerial vehicle 110 and an express cabinet 120 .

Example drone 110 is a hexacopter drone. Hexacopter drones usually use six rotors as the power source of the aircraft. The six rotors are on the same plane, and two adjacent rotors rotate counterclockwise and clockwise to counteract the counter-torque force. The six motors are symmetrically installed at the end of the bracket of the aircraft. The two rotors on the diagonal of the hexacopter UAV rotate in opposite directions. It should be understood, however, that other variations of drone 110 may be implemented with more or less of these components. For example, drone 110 may include four rotors, four legs, and so on. The example drone 110 is capable of one or more of vertical motion, pitch motion, roll motion, yaw motion, forward and backward motion.

A detachable drone cargo compartment 112 can be coupled to the bottom of the drone 110 . The cargo bay 112 of the drone may contain goods ready for delivery. The drone cargo bay 112 may be detached from the drone 110 and placed on a bench in a sort center, for example, to sort packages into the cargo bay. When the sorting is completed, the drone cargo compartment 112 can be coupled with the drone 110 , so that the drone 110 carries the drone cargo compartment 112 to fly. The coupling shown in Figure 1 is exemplary only, and various other couplings (such as suspension couplings via ropes) are also within the scope of the present disclosure, depending mainly on the type of package, type of cargo hold, drone, etc. type, and the corresponding express cabinet type.

For the sake of brevity and not to obscure the subject matter of the present disclosure, descriptions of other common components of the drone 110 are omitted herein.

The top of the example express cabinet 120 has a cargo receiving port 122 for receiving packages in the cargo compartment 112 of the drone into the interior of the express cabinet 120 . The goods receiving port 122 can also be located in other positions of the express cabinet 120 . An intelligent sorting mechanism (not shown in FIG. 1 ) is provided in the express cabinet 120 for placing packages into corresponding storage boxes 124 . In one embodiment, when the drone 110 is unloading the express cabinet 120, the drone 110 can land on the top of the express cabinet 120, and put the package in the cargo compartment 112 of the drone into the cargo receiving port 122 of the express cabinet 120 middle. After the unloading is complete, the drone can return to the sorting center where the goods are sorted into the drone cargo bay.

In addition to the drone 110 and the express cabinet 120, the example drone logistics system also has a sorting center (not shown in FIG. 1 ). The sorting center can store the parcels to be delivered and sort the parcels to be delivered. There are a plurality of drones 110 in the sorting center, as well as workbenches for sorting packages to the disassembled drone cargo bays 112 . The sorting center may update the status of the drone 110 based on the operation of the drone 110 , and the status may include a ready status, a status to be coupled, a status of coupling completion, and a delivery status. The drones 110 in the sorting center and the drone cargo bays 112 can be reused after the delivery process to make another delivery.

Each drone vehicle, drone cargo bay, and each package can have a unique identifier. The identification of drone vehicles, unmanned vehicle cargo compartments, and packages can be implemented in various forms, such as RFID (Radio Frequency Identification) electronic tags, two-dimensional codes, barcodes, and so on. In the example of the RFID electronic tag, the identification of the UAV 110, the cargo compartment 112 of the UAV and each package can be obtained through a radio frequency identification device. In the example of two-dimensional codes and barcodes, the identification of the drone 110, the cargo compartment 112 of the drone, and each package can be obtained through a camera such as a code-reading camera. But the present disclosure is not limited thereto.

FIG. 2 is a flowchart of an example logistics information management method according to an embodiment of the present disclosure.

At block 210, the package is sorted into the unmanned vehicle cargo bay. For example, the unmanned vehicle cargo compartment disassembled from the unmanned vehicle is placed on the workbench of the sorting center, and the parcels to be delivered are sorted into the unmanned vehicle cargo compartment by the parcel conveying equipment such as a conveyor belt.

In block 220, the unmanned vehicle cargo bay identification is associated with the package identification, and the unmanned vehicle is applied for. In one embodiment, the unmanned vehicle cargo compartment identifier can be associated with the package identifiers of the packages sorted into the drone vehicle cargo compartment. Applying for an unmanned vehicle may include querying the sorting center for the drones 110 in the ready state, and applying for one of the drones 110 in the ready state.

In block 230, in response to determining that the application for the unmanned vehicle is successful, a waybill is generated. In an example, based on the sorting center assigning one of the unmanned vehicles in the ready state to the unmanned vehicle cargo bay, it can be determined that the application for the unmanned vehicle is successful. The waybill can include origin and destination information, and can record and update the logistics status of the package in the delivery process in real time. In one embodiment, in response to determining that the sorted drone cargo bay 112 has successfully applied for an unmanned vehicle, the state of the drone 110 allocated to the drone cargo bay 112 may be modified to the state to be coupled.

In block 240, associate the ID of the unmanned vehicle, the ID of the waybill, the ID of the package with the ID of the cargo compartment of the unmanned vehicle. Therefore, the waybill can be queried through the package identification, and then the unmanned vehicle delivering the package, the cargo compartment of the unmanned vehicle, the origin and destination of the package to be delivered, and the logistics status of the package during the delivery process can be obtained. The logistics status of the package may include an undelivered status in which the package has not been delivered by an unmanned vehicle, a delivery status in which the package has been delivered by an unmanned vehicle, and a delivery status in which the package has been delivered to the destination by an unmanned vehicle. In one embodiment, the undelivered state may include an unsorted state and an uncoupled drone state. In one embodiment, the logistics status of the package can be queried by using the waybill ID and/or the package ID. For example, the waybill associated with the package ID can be queried through the package ID, and the logistics status of the package can be obtained explicitly based on the waybill. In one embodiment, it may be determined that the package ID is not associated with any waybill ID by querying the package ID, thereby implicitly determining that the package is in an undelivered state. Further, when it is found that the package identification not associated with any waybill identification is associated with a cargo compartment identification of an unmanned vehicle, it can be determined that the package is not coupled with the UAV. When the query finds that the package ID is not associated with any other ID, it can be determined that the package is in an unsorted state.

FIG. 3 is another flowchart of an example logistics information management method according to the present disclosure.

At block 310, the status of the logistics terminal is queried. The status of the logistics terminal may include the normal/faulty operation status of the logistics terminal, the specification of the current free storage space of the logistics terminal, and the number of current free storage spaces of the logistics terminal. In one embodiment, the sorting center regularly queries the status of each logistics terminal corresponding to the sorting center, such as every hour, every day or other adjustable time periods. In one embodiment, the sorting center queries the status of the logistics terminal based on the number of unsorted packages stored in the sorting center exceeding a threshold quantity. For example, when the unsorted parcels stored in the sorting center exceed 80% of the maximum package capacity of the sorting center, the status of the logistics terminal is queried. Other percentages or absolute values are also possible. The cargo space specifications of the logistics terminal may include but not limited to large, medium, small, etc.

At block 320, the package is sorted into the unmanned vehicle cargo bay. In one embodiment, based on the status of the inquired logistics terminal, the package is sorted to the cargo bay of the unmanned vehicle. For example, in response to the fact that the operating status of the logistics terminal is normal, and the current number of free cargo slots in the logistics terminal is greater than zero, the packages are sorted into the unmanned vehicle cargo compartment. When the operating status of the logistics terminal is faulty or the current number of free cargo slots in the logistics terminal is equal to zero, the parcels will not be sorted to the cargo compartment of the unmanned vehicle. For example, the sorting of the cargo compartment can be suspended and the status of the logistics terminal can be continued. Sorting the package may include determining that the sort is complete. In one embodiment, sorting may be determined to be complete based on the unmanned vehicle bay being filled. For example, the height detection device can be used to detect the height of the package in the cargo compartment of the unmanned vehicle, and when the height of the package reaches a threshold height, it is determined that the sorting is completed. Alternatively, a weight detection device may be used to detect the weight of the package in the cargo compartment of the unmanned vehicle, and when the weight of the package reaches a threshold weight, it is determined that the sorting is completed. It is possible to combine height detection devices and weight detection devices to determine sorting completion. In one embodiment, it can also be determined that the sorting is completed based on the size and number of packages in the cargo compartment of the unmanned vehicle being consistent with the specifications of the current free space in the logistics terminal and the number of current free space in the logistics terminal. The process in block 320 of FIG. 3 that is similar to that of block 210 in FIG. 2 will not be described repeatedly.

In order to describe the sorting process more clearly, block 320 is now described in conjunction with FIG. 4 . 4 is an example sorting process flow diagram according to an embodiment of the disclosure. It should be understood that the acts of FIG. 4 can be performed in a different order and still achieve desirable results. In addition, the process of FIG. 4 does not necessarily require the particular order shown, or sequential order, to achieve desirable results. In certain embodiments, multitasking and parallel processing may be advantageous.

At block 410, remove packages whose package size exceeds the maximum slot specification of the logistics terminal. For example, the sorting center can use a camera such as a 3D camera to identify the size of the package, based on the queried maximum storage space specification of the logistics terminal, identify the package exceeding the maximum storage space specification of the logistics terminal as an abnormal package, and transport it to the designated location, for example, for manual delivery.

At block 420, the parcel corresponding to the geographic location of the queried logistics terminal is sorted. In one embodiment, packages whose destinations are within a certain radius of the geographical location of the logistics terminal can be sorted out. In one embodiment, based on the map database, the packages whose walking distance from the package destination to the logistics terminal is less than a certain threshold can be sorted out.

At block 430, the parcel is sorted based on the status of the queried logistics terminal. In one embodiment, according to the specification of the current free space in the logistics terminal, the number of current free space in the logistics terminal, the size of the identified package, the size of the package in the cargo compartment of the unmanned vehicle, and the number of packages in the cargo compartment of the unmanned vehicle, the parcels are Sorted into unmanned vehicle cargo compartment. For example, a camera such as a 3D camera can be used to identify the size of the package, and the package can be sorted according to the current free space specification of the logistics terminal and the number of current free space in the logistics terminal. When the number of packages of a certain size in the cargo compartment of the unmanned vehicle is consistent with the number of current free storage spaces of the corresponding size in the logistics terminal, the sorting of packages of this size can be stopped. For example, if it is found that the current free cargo space of the logistics terminal is of two types, large and medium, and the quantities are 2 and 4 respectively, then 2 large packages and 4 medium packages can be sorted into the cargo compartment of the unmanned vehicle. When 2 large packages and 2 medium packages have been sorted in the cargo compartment of the unmanned vehicle, you can stop sorting the large packages into the cargo compartment of the unmanned vehicle and continue to sort the medium packages in the cargo compartment of the unmanned vehicle .

At block 440, an identification of the sorted package is obtained. The identification of sorted packages can be identified using radio frequency identification devices or code-reading cameras. In response to sorting the parcels into the cargo compartment of the unmanned vehicle, the sorting center updates the number of packages sorted into the cargo compartment of the unmanned vehicle, the size of the packages, and the identification of the packages.

Returning to FIG. 3 , in block 330 , associate the cargo compartment ID of the unmanned vehicle with the package ID, and apply for the unmanned vehicle. In one embodiment, in response to determining that the sorting is complete, the unmanned carrier cargo compartment identifier is associated with the package identifier, and the unmanned carrier is applied for. Before applying for an unmanned vehicle to deliver the package, you can query the operation status of the logistics terminal again. Based on the query, the operation status of the logistics terminal is normal, and you can apply for an unmanned vehicle. In this way, the waste of unmanned vehicle deliveries can be reduced. The process in block 330 of FIG. 3 that is similar to that of block 220 in FIG. 2 will not be described repeatedly.

In block 340, in response to determining that the application for the unmanned vehicle is successful, a waybill is generated. The process in block 340 of FIG. 3 that is similar to that of block 230 in FIG. 2 will not be described repeatedly.

In block 350, associate the ID of the unmanned vehicle, the ID of the waybill, the ID of the package with the ID of the cargo compartment of the unmanned vehicle. In one embodiment, the identification of the unmanned vehicle to be coupled can be obtained through a radio frequency identification device or a code-reading camera, and it is determined that the unmanned vehicle to be coupled is the same unmanned vehicle as the applied for. In response to determining that the unmanned vehicle to be coupled and the requesting unmanned vehicle are the same unmanned vehicle, the unmanned vehicle identification, the waybill identification, the package identification and the unmanned vehicle cargo compartment identification are associated. In response to determining that the unmanned vehicle to be coupled is not the same unmanned vehicle as the requesting unmanned vehicle, the sort center reports a fault, eg, to request manual handling. The process in block 350 of FIG. 3 that is similar to that of block 240 in FIG. 2 will not be described repeatedly.

At block 360, the unmanned vehicle cargo bay is coupled to the unmanned vehicle. In one embodiment, after the cargo compartment of the unmanned vehicle is coupled with the unmanned vehicle, the state of the unmanned vehicle may be modified to a coupling completion state.

Subsequently, the unmanned vehicle can carry the unmanned vehicle cargo compartment and the package in the unmanned vehicle cargo compartment to the destination express cabinet, and the sorting center can update the status of the unmanned vehicle to the delivery status. After the unmanned vehicle arrives at the logistics terminal, it can unload the cargo. After the unloading of the unmanned vehicle is completed, the empty unmanned vehicle cargo compartment can be brought back to the sorting center, and the empty unmanned vehicle cargo compartment can be disassembled. The sort center can then update the unmanned vehicle status to ready.

As shown in FIG. 5 , an embodiment of the present invention provides a logistics information management system 500 , including an unmanned vehicle 510 , an unmanned vehicle cargo compartment 520 , and a processing device 530 .

The unmanned vehicle 510 is configured to be coupled with the unmanned vehicle cargo compartment, so as to carry the unmanned vehicle cargo compartment and the package to the destination logistics terminal.

Unmanned vehicle cargo bay 520 is configured to load sorted packages and may be coupled to unmanned vehicle 510 .

The processing device 530 is configured to sort the parcels to the cargo compartment of the unmanned vehicle; associate the cargo compartment identifier of the unmanned vehicle with the parcel identifier, and apply for the unmanned vehicle; in response to determining that the application for the unmanned vehicle is successful, generate a waybill; and Associate unmanned vehicle identification, waybill identification, package identification and unmanned vehicle cargo compartment identification.

It should be understood that FIG. 5 is only an example of the logistics information management system proposed in the present disclosure, and in other implementations, more or less of the same or other components than those shown in the illustration may be included. Moreover, the processing device can be implemented as a local device arranged in the sorting center, or as a distributed device connected with the Internet.

An embodiment of the present invention provides a computer-readable medium, where computer instructions are stored on the computer-readable medium, and when executed by a processor, the computer instruction causes the processor to execute a logistics information management method.

Specifically, a system or device equipped with a storage medium may be provided, on which a software program code for realizing the functions of any of the above embodiments is stored, and the computer (or CPU or MPU of the system or device) or GPU) to read and execute the program code stored in the storage medium.

In this case, the program code itself read from the storage medium can realize the function of any one of the above-mentioned embodiments, so the program code and the storage medium storing the program code constitute a part of the present invention.

Examples of storage media for providing program codes include floppy disks, hard disks, magneto-optical disks, optical disks (such as CD-ROM, CD-R, CD-RW, DVD-ROM, DVD-RAM, DVD-RW), magnetic tape, non-volatile disks, etc. volatile memory card and ROM. Alternatively, the program code can be downloaded from a server computer via a communication network.

In addition, it should be clear that not only by executing the program code read by the computer, but also by making the operating system on the computer complete part or all of the actual operations through instructions based on the program code, so as to realize the function of any one of the embodiments.

In addition, it can be understood that the program code read from the storage medium is written into the memory provided in the expansion board inserted into the computer or written into the memory provided in the expansion unit connected to the computer, and then based on the program code The instruction causes the CPU installed on the expansion board or the expansion unit to perform some or all of the actual operations, so as to realize the functions of any one of the above-mentioned embodiments.

It should be noted that not all the steps and modules in the above processes and system structure diagrams are necessary, and some steps or modules can be ignored according to actual needs. The execution order of each step is not fixed and can be adjusted as needed. The system structures described in the above embodiments may be physical structures or logical structures, that is, some modules may be realized by the same physical entity, or some modules may be realized by multiple physical entities, or may be realized by multiple Certain components in individual devices are implemented together.

In the above embodiments, the hardware unit may be implemented mechanically or electrically. For example, a hardware unit may include permanently dedicated circuitry or logic (such as a dedicated processor, GPU, FPGA, or ASIC) to perform the corresponding operations. The hardware unit may also include programmable logic or circuits (such as general-purpose processors or other programmable processors), which can be temporarily set by software to complete corresponding operations. The specific implementation (mechanical way, or a dedicated permanent circuit, or a temporary circuit) can be determined based on cost and time considerations.

The text and figures are provided as examples only to aid in the understanding of the present disclosure. They should not be construed as limiting the scope of the present disclosure in any way. While certain embodiments and examples have been provided, based on what is disclosed herein it will be apparent to those skilled in the art that the illustrated embodiments and examples can be modified without departing from the scope of the present disclosure. Make changes.

Although the present disclosure has been described with an exemplary embodiment, various changes and modifications may be suggested to one skilled in the art. The present disclosure is intended to cover such changes and modifications as come within the scope of the appended claims.

Nothing in the present invention should be read as implying that any particular element, step or function is an essential element which must be included in the claim scope. The scope of patented subject matter is defined only by the claims.

Claims (15)

1. A logistics information management method is characterized in that,

sorting packages to the unmanned carrier cargo hold;

associating the unmanned carrier cargo compartment identification with the package identification, and applying for the unmanned carrier;

generating a waybill in response to determining that the unmanned vehicle is successfully applied; and

and associating the unmanned carrier identifier, the waybill identifier, the package identifier and the unmanned carrier cargo compartment identifier.

2. The method of claim 1, further comprising querying a status of the logistics terminal,

wherein, sort the state of parcel based on the commodity circulation terminal of inquiry to unmanned aerial vehicle cargo hold.

3. The method of claim 2, wherein the status of the logistics terminal is queried periodically or based on an unsorted parcel exceeding a threshold number.

4. The method of claim 2, wherein sorting packages to the unmanned vehicle cargo holds comprises sorting packages to the unmanned vehicle cargo holds that correspond to the geographic location of the queried logistics terminal.

5. The method of claim 2, wherein the state of the logistics terminal comprises: logistics terminal running state, current idle goods position specification of logistics terminal, current idle goods position quantity of logistics terminal, and

and sorting the packages to the unmanned carrier cargo hold in response to the logistics terminal operating state being normal and the current number of idle cargo spaces of the logistics terminal being greater than zero.

6. The method of claim 5, further comprising identifying the package size using a camera.

7. The method of claim 6, wherein sorting packages into the unmanned carrier cargo holds includes removing packages having a package size that exceeds a maximum cargo space specification for the logistics terminal.

8. The method of claim 6, further comprising identifying the package identifier using a camera.

9. The method of claim 8, wherein sorting packages to the unmanned carrier cargo holds is based on a current free space specification of the logistics terminal, a current free space number of the logistics terminal, a size of identified packages, a size of packages in the unmanned carrier cargo holds, a number of packages in the unmanned carrier cargo holds;

in response to sorting packages into the unmanned vehicle cargo holds, the number of packages, package sizes, package identifications sorted into the unmanned vehicle cargo holds are updated.

10. The method of claim 8, wherein sorting packages to the unmanned carrier cargo hold comprises determining that sorting is complete, wherein sorting is determined to be complete based on at least one of:

the package size, package quantity and current idle goods space specification of the logistics terminal are consistent; and

the unmanned vehicle cargo holds are filled.

11. The method of claim 1, further comprising querying a logistics terminal operating condition, wherein the logistics terminal operating condition based on the query is a normal application unmanned vehicle,

wherein the application for the unmanned aerial vehicle comprises querying the unmanned aerial vehicle in a ready state, an

Applying for one of the unmanned vehicles in a ready state;

determining that the unmanned vehicle is successfully applied based on the fact that one of the unmanned vehicles in the ready state is allocated to the unmanned vehicle cargo hold; and

in response to determining that the application for the unmanned vehicle was successful, the state of one of the unmanned vehicles assigned to the unmanned vehicle cargo bay is modified to a to-be-coupled state.

12. The method of claim 11, further comprising identifying an identity of the unmanned vehicle to be coupled, determining that the unmanned vehicle to be coupled is the same unmanned vehicle as one of the unmanned vehicles in the ready state of the application; and

in response to determining that the unmanned vehicle to be coupled is the same unmanned vehicle as one of the unmanned vehicles in the ready state of the application, associating an unmanned vehicle identification, a waybill identification, a parcel identification with an unmanned vehicle cargo compartment identification;

the cargo hold of the unmanned vehicle is coupled with the unmanned vehicle, and the state of one of the unmanned vehicles in the ready state of the application is modified to a coupling completed state.

13. The method of claim 12, wherein the package flow status is queried using at least one of a manifest identification and a package identification,

the package flow status includes at least,

an undelivered state in which the package is not delivered by the unmanned vehicle,

the in-delivery status of the package being delivered by the unmanned vehicle,

a delivery status that the package has been delivered to the destination by the unmanned carrier.

14. A logistic information management system, the system comprising:

the carrier is arranged on the side of the carrier,

the cargo compartment of the unmanned carrier,

a processing device configured to:

sorting packages to the unmanned carrier cargo hold;

associating the unmanned carrier cargo compartment identification with the package identification, and applying for the unmanned carrier;

generating a waybill in response to determining that the unmanned vehicle is successfully applied; and

and associating the unmanned carrier identifier, the waybill identifier, the package identifier and the unmanned carrier cargo compartment identifier.

15. A computer-readable storage medium having instructions stored thereon, which, when executed by one or more processors, cause the one or more processors to perform the method of any of claims 1-13.

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