CN111815225A - Unmanned aerial vehicle peer-to-peer logistics network distribution system and distribution method thereof - Google Patents
Unmanned aerial vehicle peer-to-peer logistics network distribution system and distribution method thereof Download PDFInfo
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Abstract
The invention provides an unmanned aerial vehicle peer-to-peer logistics network system and a distribution method thereof, which are used for fully playing the characteristics of small batch, high efficiency and flexible scheduling of unmanned aerial vehicles and realizing direct and rapid delivery of end-to-end emergency articles and efficient sharing of emergency supplies in cities. Unmanned aerial vehicle logistics network delivery system includes: the unmanned aerial vehicle dispatching platform is used for planning and dispatching path information for the unmanned aerial vehicle according to the material dispatching starting point and the material dispatching end point and sending the information to an unmanned aerial vehicle automatic airport node; the unmanned aerial vehicle is used for landing on an unmanned aerial vehicle parking platform when arriving at each unmanned aerial vehicle automation airport node according to the received distribution path information and the distribution path; when receiving a takeoff notification, flying to a next unmanned automatic airport node according to a planned path; the unmanned aerial vehicle automation airport node is used for determining the next unmanned aerial vehicle automation airport node according to the received distribution path information; and rotating to a corresponding take-off direction according to the position information of the unmanned aerial vehicle, and informing the unmanned aerial vehicle to take off.
Description
Technical Field
The invention relates to the technical field of unmanned aerial vehicle logistics distribution, in particular to an unmanned aerial vehicle peer-to-peer logistics network distribution system and a distribution method thereof.
Background
The city is the convergence place of modern logistics, the traffic and information facilities are dense, the infrastructure is relatively perfect, and the city is an important space carrier for carrying out logistics activities. Under the constraint of a certain urban area planning, logistics nodes (including logistics parks, logistics centers, freight stations and the like) at all levels, which bear logistics activities, are organically combined through various logistics lines to form a complex urban logistics network. The logistics network is generally divided into three levels, each level of node bears different functions, the first level logistics node (logistics park) mainly completes collection and distribution, the second level logistics node (logistics center) mainly completes transfer and distribution, and the third level logistics node (freight station) mainly completes distribution. The traditional hierarchical logistics network presents a tree structure, the structure is very suitable for a 'collecting-transferring-distributing' material distribution mode, and large quantities of materials of upper-layer logistics nodes are distributed to lower-layer logistics nodes layer by layer and are distributed to end users.
Unmanned aerial vehicle distribution is paid attention to and is applied in city tertiary logistics node distribution (end distribution) as a novel logistics distribution mode. Compared with a traditional 'people + vehicle' three-level logistics node (freight station) delivery mode, the unmanned aerial vehicle terminal delivery mode is close in delivery flow, namely bears materials, moves between the freight station and each delivery point and carries out multi-batch back-and-forth transportation, but the unmanned aerial vehicle terminal delivery mode has certain advantages in efficiency and cost.
At present, unmanned aerial vehicle distribution is merged into a traditional logistics network, and the problem of 'last kilometer' can be rapidly solved, however, the unmanned aerial vehicle distribution is only used as the supplement of the traditional logistics network and is limited by the layered architecture of the traditional logistics network, and the overall efficiency of the traditional logistics network is not substantially improved, so that how to improve the material distribution efficiency by using the unmanned aerial vehicle becomes one of the technical problems to be solved in the prior art.
Disclosure of Invention
The embodiment of the invention provides an unmanned aerial vehicle peer-to-peer logistics network system and a distribution method thereof, which are used for fully playing the characteristics of small batch, high efficiency and flexible scheduling of unmanned aerial vehicles and realizing direct and rapid delivery of end-to-end emergency articles and efficient sharing of emergency supplies in cities.
The first aspect provides an unmanned aerial vehicle logistics network delivery system, including unmanned aerial vehicle automation airport node, unmanned aerial vehicle and unmanned aerial vehicle dispatch platform, wherein, unmanned aerial vehicle logistics network adopts regular hexagon concatenation mode network deployment, deploys unmanned aerial vehicle automation airport node in the summit position of regular hexagon network, unmanned aerial vehicle automation airport node deploys unmanned aerial vehicle parking platform, wherein:
the unmanned aerial vehicle dispatching platform is used for planning distribution path information for the unmanned aerial vehicle according to a material distribution starting point and a material distribution end point, and the distribution path comprises a plurality of unmanned aerial vehicle automation airport nodes; sending the distribution path information to the unmanned aerial vehicles and each unmanned aerial vehicle automation airport node contained in the distribution path;
the unmanned aerial vehicle is used for landing on the unmanned aerial vehicle parking platform when arriving at each unmanned aerial vehicle automation airport node according to the received distribution path information and the distribution path; when receiving the takeoff notification, flying to a next unmanned automatic airport node according to the planned path;
the unmanned aerial vehicle automatic airport node is used for determining the next unmanned aerial vehicle automatic airport node according to the received distribution path information after the unmanned aerial vehicle falls; and rotating to a corresponding take-off direction according to the position information of the next unmanned aerial vehicle automation airport node, and informing the unmanned aerial vehicle to take off.
In one embodiment, the drone is further configured to send, upon arrival at each drone automation airport node, after the drone dock lands, flight node confirmation information to the drone automation airport node, where the flight node confirmation information carries a drone automation airport node identifier;
the unmanned aerial vehicle automation airport node is further used for rotating to a corresponding takeoff direction according to the position information of the next unmanned aerial vehicle automation airport node if the fact that the next unmanned aerial vehicle automation airport node identifier flying by the unmanned aerial vehicle in the distribution path information is consistent with the unmanned aerial vehicle automation airport node identifier carried in the flight node confirmation information is determined.
The unmanned aerial vehicle is also used for carrying out relay energy supply after the unmanned aerial vehicle parking platform lands when arriving at each unmanned aerial vehicle automation airport node.
In a second aspect, a distribution method for the peer-to-peer logistics network distribution system of the unmanned aerial vehicle is provided, and includes:
the unmanned aerial vehicle dispatching platform plans dispatching path information for the unmanned aerial vehicle according to a material dispatching starting point and a material dispatching end point, wherein the dispatching path comprises a plurality of unmanned aerial vehicle automation airport nodes; and
sending the distribution path information to the unmanned aerial vehicles and each unmanned aerial vehicle automation airport node contained in the distribution path
The unmanned aerial vehicle lands on the unmanned aerial vehicle parking platform when arriving at each unmanned aerial vehicle automation airport node according to the received distribution path information and the distribution path;
after the unmanned aerial vehicle falls, the unmanned aerial vehicle automatic airport node determines the next unmanned aerial vehicle automatic airport node according to the received distribution path information; rotating to a corresponding take-off direction according to the position information of the next unmanned aerial vehicle automation airport node, and informing the unmanned aerial vehicle to take off;
and when the unmanned aerial vehicle receives the takeoff notice, the unmanned aerial vehicle flies towards a lower unmanned aerial vehicle automatic airport node according to the planned path.
In an implementation manner, the method for peer-to-peer logistics network distribution of an unmanned aerial vehicle provided by the embodiment of the present invention further includes:
when the unmanned aerial vehicle arrives at each unmanned aerial vehicle automatic airport node, after the unmanned aerial vehicle parking platform lands, flight node confirmation information is sent to the unmanned aerial vehicle automatic airport node, wherein the flight node confirmation information carries an unmanned aerial vehicle automatic airport node identification;
and if the unmanned aerial vehicle automatic airport node determines that the next unmanned aerial vehicle automatic airport node identifier flying by the unmanned aerial vehicle in the distribution path information is consistent with the unmanned aerial vehicle automatic airport node identifier carried in the flight node confirmation information, rotating to the corresponding takeoff direction according to the position information of the next unmanned aerial vehicle automatic airport node.
In an implementation manner, the method for peer-to-peer logistics network distribution of an unmanned aerial vehicle provided by the embodiment of the present invention further includes:
when the unmanned aerial vehicle reaches each unmanned aerial vehicle automation airport node, relay energy supply is carried out after the unmanned aerial vehicle parking platform descends.
The invention also provides another unmanned aerial vehicle peer-to-peer logistics network distribution method, which comprises the following steps:
receiving distribution path information sent by an unmanned aerial vehicle dispatching platform, wherein the distribution path comprises a plurality of unmanned aerial vehicle automation airport nodes;
landing at the unmanned aerial vehicle parking platform when arriving at each unmanned aerial vehicle automation airport node according to the received distribution path information and the distribution path; and
and when the takeoff notification is received, flying to the next unmanned automatic airport node according to the planned path.
In one embodiment, upon arrival at each drone automation airport node, after landing the drone dock, further comprising:
and sending flight node confirmation information to the unmanned aerial vehicle automation airport node, wherein the flight node confirmation information carries an unmanned aerial vehicle automation airport node identification.
In one embodiment, upon arrival at each drone automation airport node, after landing the drone dock, further comprising:
and the unmanned aerial vehicle parking platform supplies relay energy.
By adopting the technical scheme, the invention at least has the following advantages:
the invention relates to an unmanned aerial vehicle peer-to-peer logistics network distribution system and a distribution method thereof.A peer-to-peer logistics network in a regular hexagon honeycomb shape is constructed, unmanned aerial vehicle automatic airport nodes are arranged at each vertex position of the regular hexagon, each unmanned aerial vehicle automatic airport node is provided with an unmanned aerial vehicle parking platform for controlling the takeoff and landing of an unmanned aerial vehicle, when materials are required to be distributed, an unmanned aerial vehicle dispatching platform plans distribution path information for the unmanned aerial vehicle according to a material distribution starting point and a material distribution end point and informs the unmanned aerial vehicle and the unmanned aerial vehicle automatic airport nodes, and the distribution path comprises a plurality of unmanned aerial vehicle automatic airport nodes; the unmanned aerial vehicle lands on the unmanned aerial vehicle parking platform when arriving at each unmanned aerial vehicle automation airport node according to the received distribution path information and the distribution path; determining a next unmanned automatic airport node according to the received distribution path information by the unmanned automatic airport node; the unmanned aerial vehicle can be informed to take off by rotating to the corresponding take-off direction according to the position information of the next unmanned aerial vehicle automation airport node, the end-to-end material distribution of the unmanned aerial vehicle can be realized through the flow, the intermediate transfer flow of the material distribution is reduced, and the material distribution efficiency is improved.
Drawings
Fig. 1a is a schematic diagram of an automated unmanned aerial vehicle airport parking station according to an embodiment of the present invention;
fig. 1b is a schematic view of an unmanned aerial vehicle automated airport parking flow turret according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a peer-to-peer logistics network distribution system of an unmanned aerial vehicle according to an embodiment of the invention;
fig. 3 is a schematic flow chart of a method for peer-to-peer logistics network distribution of an unmanned aerial vehicle according to an embodiment of the present invention;
fig. 4 is a schematic flow chart of a method for peer-to-peer logistics network distribution of an unmanned aerial vehicle, which is executed by the unmanned aerial vehicle according to an embodiment of the present invention.
Detailed Description
To further explain the technical means and effects of the present invention adopted to achieve the intended purpose, the present invention will be described in detail with reference to the accompanying drawings and preferred embodiments.
It should be noted that the terms "first", "second", and the like in the description and the claims of the embodiments of the present invention and in the drawings described above are used for distinguishing similar objects and not necessarily for describing a particular order or sequence. It will be appreciated that the data so used may be interchanged under appropriate circumstances such that the embodiments described herein may be practiced otherwise than as specifically illustrated or described herein.
Reference herein to "a plurality or a number" means two or more. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship.
For end-to-end (person-to-person, unit-to-unit, etc.) material transfer or resource sharing, the traditional logistics network needs to transfer the materials to the upper-layer logistics nodes first, end-to-end direct delivery cannot be realized, delivery efficiency is reduced due to excessive node transfer, and in addition, the terminal delivery unmanned aerial vehicle in the traditional logistics network adopts turn-back type transportation, and the maximum range transportation capacity cannot be exerted.
In view of this, the embodiment of the present invention provides a city unmanned aerial vehicle distribution peer-to-peer network system, so that the fast and direct characteristics of an unmanned aerial vehicle can be utilized between city unmanned aerial vehicle distribution stations to perform end-to-end direct distribution and material sharing of emergency materials and first-aid materials, the distribution stations are both material sending points and material receiving points, the unmanned aerial vehicle can perform bidirectional route relay transportation between the distribution stations, characteristics and capacity efficiency of unmanned aerial vehicle transportation cost and flexible scheduling are fully exerted, and the material distribution efficiency is improved.
The unmanned aerial vehicle peer-to-peer logistics network distribution system provided by the embodiment of the invention comprises unmanned aerial vehicle automatic airport nodes, an unmanned aerial vehicle and an unmanned aerial vehicle dispatching platform, wherein the unmanned aerial vehicle logistics network is networked in a regular hexagon splicing mode, the unmanned aerial vehicle automatic airport nodes are arranged at the top points of the regular hexagon network, the unmanned aerial vehicle automatic airport nodes are provided with unmanned aerial vehicle parking platforms, in the specific implementation process, the coverage area is increased under the condition of a limited number of nodes in a hexagon networking mode, the unmanned aerial vehicle airway crossing can be avoided, and the material transportation efficiency and efficiency are improved.
The unmanned aerial vehicle automation airport node (distribution station) is a material sending end and a material receiving end, has no principal and subordinate difference, is different from a logistics center, a freight station, a consumption end and a supply end in a traditional logistics network, and is integrally in a material distribution equivalent structure.
Unmanned aerial vehicle automation airport node is the node in the peer-to-peer logistics network system, and each node possesses unique node ID code, can construct the overall arrangement in the city as required in a flexible way. Unmanned aerial vehicle automation airport node is except having functions such as unmanned aerial vehicle take off and land guide, goods and materials loading and unloading are accomodate, unmanned aerial vehicle relay energy supply, still disposes and shuts down a class revolving stage, can realize that unmanned aerial vehicle multidirectional goods and materials receive and dispatch that continue. Three shutdown platforms are arranged at each unmanned aerial vehicle automation airport, each shutdown platform faces to one airway direction respectively, the included angle between the airway directions is 120 degrees, and the orientation of the airway can be changed by rotating a shutdown platform flow turntable. If the unmanned aerial vehicle loaded with materials on the stopping table is about to take off and deliver the materials, the stopping table flow rotary table automatically rotates to rotate the stopping table where the unmanned aerial vehicle is located to the taking-off route direction; if material distribution unmanned aerial vehicle need descend at the automation airport and load and unload material or relay energy supply time, shut down the platform and flow the revolving stage and will autogiration, stop the platform with the vacancy and turn to this unmanned aerial vehicle descending course, supply unmanned aerial vehicle to descend and berth. The unmanned aerial vehicle automation airport parking platform and parking stream rotary platform structure are respectively shown in fig. 1a and fig. 1 b.
The unmanned aerial vehicle automation airport nodes are interconnected through unmanned aerial vehicle flying bidirectional air routes to form an unmanned aerial vehicle distribution bidirectional air route network. The route distance is set by comprehensively considering the node position of the automatic airport and the effective range of the unmanned aerial vehicle for distribution, and the unmanned aerial vehicle route connection mode is adopted for remote distribution. In order to improve the coverage capability and the expandability of a distribution network of a limited unmanned aerial vehicle capacity resource area, the unmanned aerial vehicle distribution peer-to-peer network adopts a regular hexagon splicing (cellular) network structure, unmanned aerial vehicle automatic airport nodes are arranged at each vertex position of the regular hexagon network, a bidirectional interconnection unmanned aerial vehicle peer-to-peer logistics network is formed among the airport nodes, and the whole peer-to-peer logistics network has infinite connectivity. The structure of the unmanned plane peer-to-peer logistics network distribution system is shown in figure 2.
The unmanned aerial vehicle dispatching platform is a control dispatching core of the unmanned aerial vehicle peer-to-peer logistics network distribution system, realizes the whole network state monitoring, unmanned aerial vehicle route planning and unmanned aerial vehicle automatic airport node load balancing of the unmanned aerial vehicle peer-to-peer logistics network distribution system, and determines the overall operation efficiency of the network and the reasonable layout of unmanned aerial vehicle transport capacity resources.
During specific implementation, the initial ratio of the unmanned aerial vehicle to the unmanned aerial vehicle automatic airport node is 1.5:1 (namely 2 automatic airports berth 3 unmanned aerial vehicles), along with continuous flow of the material distribution unmanned aerial vehicle in the peer-to-peer network, the ratio of the unmanned aerial vehicle to the automatic airport is uneven in different areas of the network, the unmanned aerial vehicle is continuously gathered to a network area with more recipients, the distribution efficiency is easily reduced and the congestion phenomenon is easily caused, at the moment, the unmanned aerial vehicle dispatching platform can dispatch the transportation capacity resources in time according to the distribution condition (dynamic distribution diagram) of the transportation capacity of the unmanned aerial vehicle in the automatic airport and the flight route, and the backflow speed of the transportation capacity resources of the unmanned aerial vehicle in the area with too high ratio to the area with too low ratio is.
Under the general condition, the unmanned aerial vehicle dispatching platform can adjust the regional proportioning structure of unmanned aerial vehicle and automation airport in the network in good time according to the dynamic distribution diagram of unmanned aerial vehicle transport capacity. More unmanned aerial vehicle capacity resources are allocated in a time period and an area with a large delivery demand, the ratio of the unmanned aerial vehicles to the automatic airport can be improved to 2:1 (namely 1 automatic airport berths 2 unmanned aerial vehicles), less unmanned aerial vehicle capacity resources are allocated in a time period and an area with a small delivery demand, the ratio of the unmanned aerial vehicles to the automatic airport can be reduced to 1:1 (namely 1 automatic airport berths 1 unmanned aerial vehicle), and the capacity distribution is adapted to the delivery demand.
In order to ensure the reasonable configuration of the capacity of the unmanned aerial vehicle, the ratio of the unmanned aerial vehicle to the automatic airport is in the interval of [1.52 ]. When the automatic airport parking station is in a position missing state (namely the ratio of the unmanned aerial vehicle to the automatic airport in a parking state is smaller than the expected ratio of the unmanned aerial vehicle to the automatic airport), the unmanned aerial vehicle dispatching platform adopts a neighboring position supplementing strategy to perform unmanned aerial vehicle resource reconfiguration, namely the position missing of the parking station is sequentially supplemented by the unmanned aerial vehicle which is close to the automatic airport in a parking state, and the reconfiguration of unmanned aerial vehicle resources is realized by the minimum shifting times. After the distribution unmanned aerial vehicle lands on the automatic airport stop platform and unloads, the overload condition of the automatic airport stop platform appears, and the unmanned aerial vehicle exceeding the ratio of the unmanned aerial vehicle to the automatic airport stop platform needing position supplement shifts to fly.
Under a certain network operation state, when a delivery demand is generated, an unmanned aerial vehicle dispatching platform comprehensively measures the occupation conditions of automatic airports, air routes and other resources in a peer-to-peer logistics network, eliminates unavailable airport resources and air route resources, plans an air route with the shortest delivery time formed by a series of peer-to-peer logistics network nodes between a network delivery node and a receiving node based on a dijkstra algorithm, and continuously and efficiently delivers materials in the planned air route by the unmanned aerial vehicle.
In specific implementation, the network connection can be established through a mobile communication network, for example, a 5G network, between the unmanned aerial vehicle scheduling platform, the unmanned aerial vehicle and the unmanned aerial vehicle automation airport node for communication, and the network connection can be established through a wired network between the unmanned aerial vehicle scheduling platform and the unmanned aerial vehicle automation airport node for communication.
In the peer-to-peer logistics network distribution system of the unmanned aerial vehicle, provided by the embodiment of the invention, the unmanned aerial vehicle scheduling platform is used for planning distribution path information for the unmanned aerial vehicle according to a material distribution starting point and a material distribution end point, and the distribution path comprises a plurality of unmanned aerial vehicle automation airport nodes; sending the distribution path information to the unmanned aerial vehicles and each unmanned aerial vehicle automation airport node contained in the distribution path; the unmanned aerial vehicle is used for landing on the unmanned aerial vehicle parking platform when arriving at each unmanned aerial vehicle automation airport node according to the received distribution path information and the distribution path; when receiving the takeoff notification, flying to a next unmanned automatic airport node according to the planned path; the unmanned aerial vehicle automatic airport node is used for determining the next unmanned aerial vehicle automatic airport node according to the received distribution path information after the unmanned aerial vehicle falls; and rotating to a corresponding take-off direction according to the position information of the next unmanned aerial vehicle automation airport node, and informing the unmanned aerial vehicle to take off.
In specific implementation, the unmanned aerial vehicle is further configured to send flight node confirmation information to each unmanned aerial vehicle automation airport node after the unmanned aerial vehicle parking platform lands, wherein the flight node confirmation information carries an unmanned aerial vehicle automation airport node identifier; the unmanned aerial vehicle automation airport node is further used for rotating to a corresponding takeoff direction according to the position information of the next unmanned aerial vehicle automation airport node if the fact that the next unmanned aerial vehicle automation airport node identifier flying by the unmanned aerial vehicle in the distribution path information is consistent with the unmanned aerial vehicle automation airport node identifier carried in the flight node confirmation information is determined.
During the concrete implementation, unmanned aerial vehicle still is used for when arriving each unmanned aerial vehicle automation airport node carrying out the relay energy supply after the unmanned aerial vehicle parking platform descends.
In the peer-to-peer logistics network distribution system of the unmanned aerial vehicle, the unmanned aerial vehicle transportation is mainly applied to urban emergency delivery and material sharing scenes, so that the problem that the transport capacity advantage of the unmanned aerial vehicle transportation in the urban traditional hierarchical logistics system cannot be effectively exerted is solved, the characteristics of small batch, high efficiency and flexible scheduling of the unmanned aerial vehicle are fully exerted, and the direct and rapid delivery and the efficient first-aid material sharing of the urban end-to-end (from individual to individual and from unit to unit) emergency articles are realized.
Based on the same technical concept, an embodiment of the present invention further provides an unmanned aerial vehicle peer-to-peer logistics network distribution method, as shown in fig. 3, which may include the following steps:
s31, planning distribution path information for the unmanned aerial vehicle by the unmanned aerial vehicle dispatching platform according to the material distribution starting point and the material distribution end point, wherein the distribution path comprises a plurality of unmanned aerial vehicle automation airport nodes.
And S32, the unmanned aerial vehicle dispatching platform sends the distribution path information to the unmanned aerial vehicle and each unmanned aerial vehicle automation airport node contained in the distribution path.
And S33, landing the unmanned aerial vehicle on a parking platform when the unmanned aerial vehicle reaches each unmanned aerial vehicle automation airport node according to the received distribution path information and the distribution path.
And S34, determining the next unmanned aerial vehicle automation airport node according to the received distribution path information after the unmanned aerial vehicle falls.
And S35, the unmanned aerial vehicle automation airport node rotates to a corresponding take-off direction according to the position information of the next unmanned aerial vehicle automation airport node, and the unmanned aerial vehicle is informed to take off.
And S36, when the unmanned aerial vehicle receives the takeoff notification, flying to the next unmanned aerial vehicle automatic airport node according to the planned path.
In an implementation manner, the method for peer-to-peer logistics network distribution of an unmanned aerial vehicle provided by the embodiment of the present invention may further include:
when the unmanned aerial vehicle arrives at each unmanned aerial vehicle automatic airport node, after the unmanned aerial vehicle parking platform lands, flight node confirmation information is sent to the unmanned aerial vehicle automatic airport node, wherein the flight node confirmation information carries an unmanned aerial vehicle automatic airport node identification;
and if the unmanned aerial vehicle automatic airport node determines that the next unmanned aerial vehicle automatic airport node identifier flying by the unmanned aerial vehicle in the distribution path information is consistent with the unmanned aerial vehicle automatic airport node identifier carried in the flight node confirmation information, rotating to the corresponding takeoff direction according to the position information of the next unmanned aerial vehicle automatic airport node.
In an implementation manner, the method for peer-to-peer logistics network distribution of an unmanned aerial vehicle provided by the embodiment of the present invention may further include:
when the unmanned aerial vehicle reaches each unmanned aerial vehicle automation airport node, relay energy supply is carried out after the unmanned aerial vehicle parking platform descends.
Based on the same technical concept, an embodiment of the present invention further provides an unmanned aerial vehicle executing the peer-to-peer logistics network distribution method of the unmanned aerial vehicle provided by the embodiment of the present invention, as shown in fig. 4, the method may include the following steps:
s41, receiving distribution path information sent by an unmanned aerial vehicle dispatching platform, wherein the distribution path comprises a plurality of unmanned aerial vehicle automation airport nodes;
s42, landing on the unmanned aerial vehicle parking platform when arriving at each unmanned aerial vehicle automation airport node according to the received distribution path information and the distribution path;
and S43, flying to the next unmanned automatic airport node according to the planned path when the takeoff notice is received.
When the unmanned aerial vehicle parking platform is specifically implemented, when arriving at each unmanned aerial vehicle automation airport node, after the unmanned aerial vehicle parking platform descends, still include:
and sending flight node confirmation information to the unmanned aerial vehicle automation airport node, wherein the flight node confirmation information carries an unmanned aerial vehicle automation airport node identification.
When the unmanned aerial vehicle parking platform is specifically implemented, when arriving at each unmanned aerial vehicle automation airport node, after the unmanned aerial vehicle parking platform descends, still include:
and the unmanned aerial vehicle parking platform supplies relay energy.
After introducing the unmanned aerial vehicle peer-to-peer logistics network distribution method according to an exemplary embodiment of the present invention, next, a computing device according to another exemplary embodiment of the present invention is introduced.
As will be appreciated by one skilled in the art, aspects of the present invention may be embodied as a system, method or program product. Thus, various aspects of the invention may be embodied in the form of: an entirely hardware embodiment, an entirely software embodiment (including firmware, microcode, etc.) or an embodiment combining hardware and software aspects that may all generally be referred to herein as a "circuit," module "or" system.
In some possible embodiments, a computing device according to the present invention may include at least one processor, and at least one memory. Wherein the memory stores program code which, when executed by the processor, causes the processor to perform the steps of the resource exhibition method according to various exemplary embodiments of the present invention described above in the present specification.
In some possible embodiments, the aspects of the method for peer-to-peer logistics network distribution of a drone provided by the present invention may also be implemented in the form of a program product comprising program code for causing a computer device to perform the steps of the method for peer-to-peer logistics network distribution of a drone according to various exemplary embodiments of the present invention described above in this specification when the program product is run on the computer device.
The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The program product for resource exposure of embodiments of the present invention may employ a portable compact disk read only memory (CD-ROM) and include program code, and may be run on a computing device. However, the program product of the present invention is not limited in this regard and, in the present document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A readable signal medium may include a propagated data signal with readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A readable signal medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device over any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., over the internet using an internet service provider).
It should be noted that although several units or sub-units of the apparatus are mentioned in the above detailed description, such division is merely exemplary and not mandatory. Indeed, the features and functions of two or more of the units described above may be embodied in one unit, according to embodiments of the invention. Conversely, the features and functions of one unit described above may be further divided into embodiments by a plurality of units.
Moreover, while the operations of the method of the invention are depicted in the drawings in a particular order, this does not require or imply that the operations must be performed in this particular order, or that all of the illustrated operations must be performed, to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step execution, and/or one step broken down into multiple step executions.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
While the invention has been described in connection with specific embodiments thereof, it is to be understood that it is intended by the appended drawings and description that the invention may be embodied in other specific forms without departing from the spirit or scope of the invention.
Claims (9)
1. The utility model provides an unmanned aerial vehicle is commodity circulation network delivery system that is equitable, its characterized in that, including unmanned aerial vehicle automation airport node, unmanned aerial vehicle and unmanned aerial vehicle dispatch platform, wherein, unmanned aerial vehicle commodity circulation network adopts regular hexagon concatenation mode network deployment, deploys unmanned aerial vehicle automation airport node in the summit position of regular hexagon network, unmanned aerial vehicle automation airport node deploys has unmanned aerial vehicle to park the platform, wherein:
the unmanned aerial vehicle dispatching platform is used for planning distribution path information for the unmanned aerial vehicle according to a material distribution starting point and a material distribution end point, and the distribution path comprises a plurality of unmanned aerial vehicle automation airport nodes; sending the distribution path information to the unmanned aerial vehicles and each unmanned aerial vehicle automation airport node contained in the distribution path;
the unmanned aerial vehicle is used for landing on the unmanned aerial vehicle parking platform when arriving at each unmanned aerial vehicle automation airport node according to the received distribution path information and the distribution path; when receiving the takeoff notification, flying to a next unmanned automatic airport node according to the planned path;
the unmanned aerial vehicle automatic airport node is used for determining the next unmanned aerial vehicle automatic airport node according to the received distribution path information after the unmanned aerial vehicle falls; and rotating to a corresponding take-off direction according to the position information of the next unmanned aerial vehicle automation airport node, and informing the unmanned aerial vehicle to take off.
2. The unmanned aerial vehicle logistics network distribution system of claim 1,
the unmanned aerial vehicle is also used for sending flight node confirmation information to each unmanned aerial vehicle automation airport node after the unmanned aerial vehicle parking platform lands, wherein the flight node confirmation information carries unmanned aerial vehicle automation airport node identification;
the unmanned aerial vehicle automation airport node is further used for rotating to a corresponding takeoff direction according to the position information of the next unmanned aerial vehicle automation airport node if the fact that the next unmanned aerial vehicle automation airport node identifier flying by the unmanned aerial vehicle in the distribution path information is consistent with the unmanned aerial vehicle automation airport node identifier carried in the flight node confirmation information is determined.
3. The unmanned aerial vehicle logistics network distribution system of claim 1 or 2,
the unmanned aerial vehicle is also used for carrying out relay energy supply after the unmanned aerial vehicle parking platform lands when arriving at each unmanned aerial vehicle automation airport node.
4. An unmanned aerial vehicle peer-to-peer logistics network distribution method, which is applied to the unmanned aerial vehicle logistics network distribution system of claim 1, 2 or 3, and comprises:
the unmanned aerial vehicle dispatching platform plans dispatching path information for the unmanned aerial vehicle according to a material dispatching starting point and a material dispatching end point, wherein the dispatching path comprises a plurality of unmanned aerial vehicle automation airport nodes; and
sending the distribution path information to the unmanned aerial vehicles and each unmanned aerial vehicle automation airport node contained in the distribution path;
the unmanned aerial vehicle lands on the unmanned aerial vehicle parking platform when arriving at each unmanned aerial vehicle automation airport node according to the received distribution path information and the distribution path;
after the unmanned aerial vehicle falls, the unmanned aerial vehicle automatic airport node determines the next unmanned aerial vehicle automatic airport node according to the received distribution path information; rotating to a corresponding take-off direction according to the position information of the next unmanned aerial vehicle automation airport node, and informing the unmanned aerial vehicle to take off;
and when the unmanned aerial vehicle receives the takeoff notice, the unmanned aerial vehicle flies towards a lower unmanned aerial vehicle automatic airport node according to the planned path.
5. The method of claim 4, further comprising:
when the unmanned aerial vehicle arrives at each unmanned aerial vehicle automatic airport node, after the unmanned aerial vehicle parking platform lands, flight node confirmation information is sent to the unmanned aerial vehicle automatic airport node, wherein the flight node confirmation information carries an unmanned aerial vehicle automatic airport node identification;
and if the unmanned aerial vehicle automatic airport node determines that the next unmanned aerial vehicle automatic airport node identifier flying by the unmanned aerial vehicle in the distribution path information is consistent with the unmanned aerial vehicle automatic airport node identifier carried in the flight node confirmation information, rotating to the corresponding takeoff direction according to the position information of the next unmanned aerial vehicle automatic airport node.
6. The method of claim 4 or 5, further comprising:
when the unmanned aerial vehicle reaches each unmanned aerial vehicle automation airport node, relay energy supply is carried out after the unmanned aerial vehicle parking platform descends.
7. An unmanned aerial vehicle peer-to-peer logistics network distribution method is characterized by comprising the following steps:
receiving distribution path information sent by an unmanned aerial vehicle dispatching platform, wherein the distribution path comprises a plurality of unmanned aerial vehicle automation airport nodes;
landing at the unmanned aerial vehicle parking platform when arriving at each unmanned aerial vehicle automation airport node according to the received distribution path information and the distribution path; and
and when the takeoff notification is received, flying to the next unmanned automatic airport node according to the planned path.
8. The method of claim 7, upon arrival at each drone automation airport node, after landing the drone dock, further comprising:
and sending flight node confirmation information to the unmanned aerial vehicle automation airport node, wherein the flight node confirmation information carries an unmanned aerial vehicle automation airport node identification.
9. The method of claim 7 or 8, further comprising, upon arrival at each drone automation airport node, after landing at the drone dock:
and the unmanned aerial vehicle parking platform supplies relay energy.
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