CN112613823A - Logistics distribution method, system, processor and storage medium - Google Patents
Logistics distribution method, system, processor and storage medium Download PDFInfo
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- CN112613823A CN112613823A CN202011583016.1A CN202011583016A CN112613823A CN 112613823 A CN112613823 A CN 112613823A CN 202011583016 A CN202011583016 A CN 202011583016A CN 112613823 A CN112613823 A CN 112613823A
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/083—Shipping
- G06Q10/0835—Relationships between shipper or supplier and carriers
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
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Abstract
The embodiment of the invention provides a logistics distribution method, a logistics distribution system, a processor and a storage medium, and belongs to the field of logistics. The logistics distribution method comprises the following steps: determining the starting position and the end position of a no-fly section of the unmanned aerial vehicle; determining the arrival time of the unmanned aerial vehicle at the starting position; determining the operation starting point and the operation starting time of the unmanned vehicle according to the starting position and the arrival time; determining the flight section length of the no-fly flight section according to the end position and the initial position; determining the distribution operation time of the unmanned vehicle according to the length of the flight segment; controlling the unmanned vehicle to execute the logistics distribution operation of the no-fly navigation section according to the operation starting point, the operation starting time and the distribution operation time; and after the unmanned vehicle finishes the logistics distribution operation of the no-fly navigation section, controlling the unmanned vehicle to execute the logistics distribution operation. The short problem of unmanned aerial vehicle delivery distance can be solved to this scheme.
Description
Technical Field
The invention relates to the field of logistics, in particular to a logistics distribution method, a logistics distribution system, a processor and a storage medium.
Background
At present, unmanned aerial vehicle uses and is used for logistics distribution more commonly in the commodity circulation trade, because unmanned aerial vehicle's duration is limited, can only carry out closely the delivery usually. In a no-fly area of a city, the unmanned aerial vehicle is limited by relevant policies, for example, in a dense population area such as a city, and the unmanned aerial vehicle flies in the no-fly area, which involves problems such as security and privacy. Therefore, when the unmanned aerial vehicle carries out logistics distribution in a city, the unmanned aerial vehicle needs to detour due to the existence of the no-fly zone, so that the flight distance is increased, and the limited cruising ability of the unmanned aerial vehicle has a large test for long-distance distribution.
Disclosure of Invention
The invention aims to provide a logistics distribution method, a logistics distribution system, a processor, a storage medium and a computer program product, which can solve the problem that the existing unmanned aerial vehicle is short in distribution distance.
In order to achieve the above object, a first aspect of the present invention provides a logistics distribution method, including:
determining the starting position and the end position of a no-fly section of the unmanned aerial vehicle;
determining the arrival time of the unmanned aerial vehicle at the starting position;
determining the operation starting point and the operation starting time of the unmanned vehicle according to the starting position and the arrival time;
determining the flight section length of the no-fly flight section according to the end position and the initial position;
determining the distribution operation time of the unmanned vehicle according to the length of the flight segment;
controlling the unmanned vehicle to execute the logistics distribution operation of the no-fly navigation section according to the operation starting point, the operation starting time and the distribution operation time;
and after the unmanned vehicle finishes the logistics distribution operation of the no-fly navigation section, controlling the unmanned vehicle to execute the logistics distribution operation.
In the embodiment of the present invention, determining the starting position and the ending position of the no-fly segment of the unmanned aerial vehicle includes: acquiring a flight route of the unmanned aerial vehicle; and determining the starting position and the end position of the no-fly section of the unmanned aerial vehicle according to the flight route and the no-fly zone distribution information.
In the embodiment of the present invention, the method further includes: receiving a cooperation request sent by the unmanned aerial vehicle, wherein the cooperation request comprises the current position of the unmanned aerial vehicle; acquiring state information of the unmanned vehicle within a preset range of the current position; and sending the state information meeting the preset conditions to the unmanned aerial vehicle for selection.
In the embodiment of the present invention, the number of the flight prohibiting sections is plural, and the logistics distribution method further includes: determining unmanned vehicle distribution information corresponding to the flight forbidden section according to the state information and the flight section length of the flight forbidden section; and controlling the operation of the unmanned vehicle according to the unmanned vehicle distribution information.
In the embodiment of the present invention, the method further includes: acquiring distances between a plurality of adjacent flight prohibiting sections; and combining a plurality of no-fly sections into one no-fly section under the condition that the distance is less than a first threshold value and the sum of the distance and the section length of the corresponding no-fly section is less than a second threshold value.
In the embodiment of the present invention, the unmanned vehicle allocation information includes an equipment identifier comparison table, and the logistics distribution method further includes: and under the condition that the unmanned aerial vehicle reaches the starting position of the no-fly section, controlling the unmanned aerial vehicle to execute pairing between the unmanned aerial vehicle and the unmanned vehicle based on the equipment identification comparison table.
A second aspect of the present invention provides a processor configured to execute the logistics distribution method according to any one of the above.
The invention provides a logistics distribution system in a third aspect, and the system comprises an unmanned vehicle, an unmanned aerial vehicle and a processor.
In an embodiment of the invention, the drone vehicle is used for charging the drone.
A fourth aspect of the present invention provides a machine-readable storage medium having stored thereon instructions, which when executed by a processor, cause the processor to execute the logistics distribution method according to any one of the above.
A fifth aspect of the invention provides a computer program product comprising a computer program which, when executed by a processor, implements a logistics distribution method according to any one of the above.
According to the technical scheme, the starting position and the end position of the no-fly section of the unmanned aerial vehicle are determined, the arrival time of the unmanned aerial vehicle to the starting position is determined, the operation starting point and the operation starting time of the unmanned vehicle are determined according to the starting position and the arrival time, the flight section length of the no-fly section is determined according to the end position and the starting position, the distribution operation time of the unmanned vehicle is further determined, the unmanned vehicle is controlled to execute logistics distribution operation of the no-fly section according to the operation starting point, the operation starting time and the distribution operation time, and after the unmanned vehicle finishes the logistics distribution operation of the no-fly section, the unmanned aerial vehicle is controlled to execute the logistics distribution operation. According to the method, the unmanned vehicle is adopted to replace the unmanned aerial vehicle to complete logistics distribution operation of the no-fly section in the no-fly section, the no-fly area is distributed in the transition mode through the auxiliary distribution of the unmanned vehicle, the detour distance is avoided, the operation time of the unmanned vehicle is accurately controlled, the unmanned aerial vehicle is continuously adopted to carry out distribution after the logistics distribution operation of the no-fly section is completed, the distribution distance of the unmanned aerial vehicle is prolonged, and the long-distance distribution capacity of the unmanned aerial vehicle is improved.
Additional features and advantages of embodiments of the invention will be set forth in the detailed description which follows.
Drawings
The accompanying drawings, which are included to provide a further understanding of the embodiments of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the embodiments of the invention without limiting the embodiments of the invention. In the drawings:
fig. 1 is a schematic flow chart showing a logistics distribution method according to an embodiment of the invention;
fig. 2 is a schematic flow chart illustrating a step of sending a cooperation request by a drone according to an embodiment of the present invention;
fig. 3 schematically shows a schematic view of a logistics distribution system according to an embodiment of the invention.
Description of the reference numerals
310 unmanned aerial vehicle 320 unmanned vehicle
330 processor
Detailed Description
The following detailed description of embodiments of the invention refers to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating embodiments of the invention, are given by way of illustration and explanation only, not limitation.
Fig. 1 schematically shows a flow chart of a logistics distribution method according to an embodiment of the invention. As shown in fig. 1, in the embodiment of the present invention, a logistics distribution method is provided, which is described by taking the method as an example for a processor, and the method may include the following steps:
and step S110, determining the starting position and the end position of the no-flight section of the unmanned aerial vehicle.
It can be understood that the no-fly section is a route area where the unmanned aerial vehicle is prohibited from flying.
Specifically, the processor determines a start position (e.g., geographic coordinates of the start position) and an end position (e.g., geographic coordinates of the end position) of the no-fly segment of the drone, which may be determined, for example, from the flight route or no-fly zone information of the drone.
In one embodiment, determining the start and end positions of the no-fly segment of the drone includes: acquiring a flight route of the unmanned aerial vehicle; and determining the starting position and the end position of the no-fly section of the unmanned aerial vehicle according to the flight route and the no-fly zone distribution information.
It is understood that the flight route is a circular route, and may be input by a user or determined according to a starting address and a destination address input by the user, and the number of the destination addresses may be multiple, and the destination addresses may be sorted according to a certain distribution priority, for example, the unmanned aerial vehicle starts from a distribution station where the unmanned aerial vehicle is located, sequentially passes through coordinates of the multiple destination addresses, and finally returns to the distribution station. The no-fly zone distribution information is area distribution information for prohibiting the unmanned aerial vehicle from flying, and may include, for example, geographic coordinate information of the no-fly zone.
Specifically, the processor may obtain a flight route of the unmanned aerial vehicle input by a user or stored in advance, and determine a start position and an end position of a no-fly section of the unmanned aerial vehicle according to a range of an overlapping region of the flight route and the no-fly zone distribution information.
And step S120, determining the arrival time of the unmanned aerial vehicle to the initial position.
Specifically, the processor may obtain a prestored flight speed (e.g., a preset flight speed or a historical average speed) of the unmanned aerial vehicle, further determine a distance between a starting position of the no-fly segment and a current position of the unmanned aerial vehicle (e.g., a distribution station where the unmanned aerial vehicle is located), determine a flight time for the unmanned aerial vehicle to reach the starting position of the no-fly segment according to the flight speed and the distance of the unmanned aerial vehicle, and determine an arrival time for the unmanned aerial vehicle to reach the starting position according to the current time and the flight time.
And step S130, determining the operation starting point and the operation starting time of the unmanned vehicle according to the starting position and the arrival time.
It is understood that the work start point is a delivery work start point position of the unmanned vehicle, and the work start time is time point information at which the unmanned vehicle starts work.
Specifically, the processor may use the starting position of the no-fly segment of the unmanned aerial vehicle as the operation starting point of the unmanned vehicle, and use the arrival time as the operation starting time of the unmanned vehicle.
Step S140, determining the flight section length of the no-fly flight section according to the end position and the starting position.
Specifically, the processor can determine the flight segment length of the no-fly flight segment according to the coordinate information of the end position and the starting position.
And S150, determining the distribution operation time of the unmanned vehicle according to the flight segment length. Specifically, the processor may acquire a traveling speed (e.g., a preset traveling speed or a historical average speed) of the unmanned vehicle, thereby determining the delivery work time of the unmanned vehicle according to the leg length and the traveling speed,
and step S160, controlling the unmanned vehicle to execute the logistics distribution operation of the no-fly navigation section according to the operation starting point, the operation starting time and the distribution operation time.
Specifically, after determining the operation starting point, the operation starting time and the distribution operation time of the unmanned vehicle, the processor sets the working time of the unmanned vehicle as the distribution operation time, and controls the unmanned vehicle to execute the logistics distribution operation of the flight forbidden section according to the operation starting point, the operation starting time and the distribution operation time.
In an example, when the unmanned vehicle executes the logistics distribution operation of the no-fly section, the unmanned vehicle can carry the unmanned vehicle to transit the no-fly section, that is, the unmanned vehicle can carry the unmanned vehicle to complete the logistics distribution operation, wherein the unmanned vehicle can be used for supplementing the electric quantity to the unmanned vehicle in the process of parking the unmanned vehicle.
And S170, after the unmanned vehicle finishes the logistics distribution operation of the no-fly segment, controlling the unmanned vehicle to execute the logistics distribution operation.
Specifically, after the unmanned vehicle completes the logistics distribution operation in the no-fly segment, the processor may control the unmanned vehicle to continue to perform the logistics distribution operation in the no-fly zone (or the no-fly segment), that is, when the unmanned vehicle runs through the area of the no-fly segment, the unmanned vehicle may continue to take off to complete the logistics distribution operation. According to the logistics distribution method, the starting position and the ending position of the no-fly section of the unmanned aerial vehicle are determined, the arrival time of the unmanned aerial vehicle to the starting position is determined, the operation starting point and the operation starting time of the unmanned vehicle are determined according to the starting position and the arrival time, the flight section length of the no-fly section is determined according to the ending position and the starting position, the distribution operation time of the unmanned vehicle is further determined, the unmanned vehicle is controlled to execute logistics distribution operation of the no-fly section according to the operation starting point, the operation starting time and the distribution operation time, and after the unmanned vehicle finishes the logistics distribution operation of the no-fly section, the unmanned aerial vehicle is controlled to execute the logistics distribution operation. According to the method, the unmanned vehicle is adopted to replace the unmanned aerial vehicle to complete logistics distribution operation of the no-fly section in the no-fly section, the no-fly area is distributed in the transition mode through the auxiliary distribution of the unmanned vehicle, the detour distance is avoided, the operation time of the unmanned vehicle is accurately controlled, the unmanned aerial vehicle is continuously adopted to carry out distribution after the logistics distribution operation of the no-fly section is completed, the distribution distance of the unmanned aerial vehicle is prolonged, and the long-distance distribution capacity of the unmanned aerial vehicle is improved.
In one embodiment, as shown in fig. 2, the logistics distribution method can further comprise the following steps:
step S210, receiving a cooperation request sent by the drone, where the cooperation request includes a current location of the drone.
It is to be understood that the cooperation request is a request issued by the drone to request the drone to support a delivery task for delivering the no-fly segment, and may be sent when the drone arrives at the start position of the no-fly segment or a position a preset distance (a short distance, for example, 300 meters) away from the start position.
Specifically, the processor (or the server) receives a cooperation request sent by the drone, and resolves the current position of the drone in the cooperation request.
And step S220, acquiring the state information of the unmanned vehicle within the preset range of the current position.
It is understood that the preset range is a range from the current position by a certain distance threshold (e.g., 500 meters).
Specifically, the processor acquires state information of the unmanned vehicle within a preset range (for example, 500 meters) of the current position of the unmanned vehicle, and the state information may be position information of the unmanned vehicle, for example.
In one embodiment, the status information may include at least one of: location information, free vehicle condition, electrical quantity condition, and distance to empty.
It is to be understood that the status information may include one or more of location information, an empty vehicle condition of the unmanned vehicle, a power condition of the unmanned vehicle, and a distance the unmanned vehicle may travel.
In this embodiment, through setting up different status information, can increase the optional scope of unmanned car, improve unmanned car and unmanned aerial vehicle's the efficiency of pairing.
And step S230, sending the state information meeting the preset conditions to the unmanned aerial vehicle for selection.
It is understood that the preset condition is a preset dispensing condition, for example, a power amount of 95%.
Specifically, after acquiring the state information of the unmanned vehicles, where the number of the unmanned vehicles may be multiple or one, the processor sends the state information meeting a preset condition (for example, the electric quantity is 95%) to the unmanned aerial vehicle, so that the unmanned aerial vehicle can select the supported unmanned vehicle.
In one example, the status information acquired by the processor includes location information (e.g., 100 meters away from the current location of the drone) and a power condition (e.g., 100% power), and the preset condition may be, for example, 500 meters away from the current location of the drone and/or no less than 90% power.
In one embodiment, the logistics distribution method may further include: and sending the unmanned vehicle driving route to the unmanned vehicle for selection, wherein the unmanned vehicle driving route comprises a starting position and an end position of the no-fly section.
It can be understood that the driving route of the unmanned vehicle is determined according to the starting position and the end position of the no-fly section, wherein the number of the driving routes of the unmanned vehicle can be one or more according to the length of the using time and the number of the traffic lights.
Specifically, the processor can send the unmanned vehicles driving route to unmanned aerial vehicle to supply unmanned aerial vehicle to select the unmanned vehicles driving route that satisfies the demand.
In one embodiment, the logistics distribution method may further include: receiving an unmanned vehicle selected by the unmanned aerial vehicle; and controlling the unmanned vehicle to arrive at the starting position to wait before the operation starting time.
Specifically, the processor controls the unmanned vehicle to arrive at the starting position of the no-fly segment before the operation starting time to wait after receiving the unmanned vehicle selected by the unmanned vehicle.
In one embodiment, the number of the flight-forbidden segments is multiple, and the logistics distribution method further comprises: determining unmanned vehicle distribution information corresponding to the flight forbidden section according to the state information and the flight section length of the flight forbidden section; and controlling the operation of the unmanned vehicle according to the unmanned vehicle distribution information.
It can be understood that, if there are multiple no-manned sections, the processor may determine the no-manned vehicle allocation information corresponding to each no-manned section according to the state information (e.g., the travelable distance) of the no-manned vehicle and the section length of each no-manned section, that is, the no-manned sections with different section lengths may correspond to no-manned vehicles with different state information, so as to control the no-manned vehicle to operate in the corresponding no-manned sections according to the no-manned vehicle allocation information.
In one example, if the flight route includes a plurality of no-fly sections, all the fly-in end point coordinates and all the fly-out end point coordinates are acquired and the sequence is marked, the processor may sequentially match the unmanned vehicle for each no-fly section according to the sequence, specifically, the time for reaching the end position of the no-fly section and the starting position of the next no-fly section may be calculated by acquiring parameters such as the length of the driving path of the unmanned vehicle and the forward speed, and then the information of the unmanned vehicle position near the starting position of the next no-fly section is acquired until all the no-fly sections are completely allocated.
In one embodiment, the logistics distribution method further comprises: acquiring distances between a plurality of adjacent flight prohibiting sections; and combining a plurality of no-fly sections into one no-fly section under the condition that the distance is less than a first threshold value and the sum of the distance and the section length of the corresponding no-fly section is less than a second threshold value.
It is understood that the first threshold is a minimum threshold of the distance between adjacent flight-forbidden segments, and the second threshold is a minimum threshold of the length of the adjacent flight-forbidden segments plus the length of the non-flight-forbidden segment between the flight-forbidden segments. The setting of first threshold value is the unnecessary action of launching off and landing of avoiding unmanned aerial vehicle, and the setting of second threshold value is that it exceeds unmanned vehicle journey scope to prevent that unmanned vehicle from bearing unmanned aerial vehicle and traveling too much flight segment in succession.
In one example, the processor obtains distances between a plurality of adjacent flight-forbidden segments, and combines the plurality of flight-forbidden segments into one flight-forbidden segment under the condition that the distances are smaller than a first threshold value and the lengths of the flight-forbidden segments and the flight-forbidden segments plus the length of a non-flight-forbidden segment between the flight-forbidden segments are smaller than a second threshold value. For example, the first flight-forbidden segment and the second flight-forbidden segment are adjacent to each other and have a distance smaller than a first threshold (that is, the length of the non-flight-forbidden segment between the two flight-forbidden segments is smaller than the first threshold), and the sum of the lengths of the flight segments of the first flight-forbidden segment and the second flight-forbidden segment and the length of the non-flight-forbidden segment between the first flight-forbidden segment and the second flight-forbidden segment is smaller than a second threshold. A plurality of which may be two or more,
in one embodiment, the unmanned vehicle distribution information includes a device identification comparison table, and the logistics distribution method further includes: and under the condition that the unmanned aerial vehicle reaches the starting position of the no-fly section, controlling the unmanned aerial vehicle to execute pairing between the unmanned aerial vehicle and the unmanned vehicle based on the equipment identification comparison table.
It can be understood that the device identification comparison table comprises a comparison relation table of identification information of the unmanned vehicle and the allocated flight prohibiting section.
Specifically, the processor can store the equipment identification comparison table after completing the distribution of the no-fly navigation sections and the unmanned vehicles, and when the unmanned vehicles arrive at the initial position of each no-fly navigation section, the matching steps with the unmanned vehicles are executed, namely the unmanned vehicle information is checked according to the pre-stored equipment identification comparison table, so that the perfect matching of the unmanned vehicles and the unmanned vehicles is realized, and the accurate logistics distribution operation is completed.
Fig. 3 schematically shows a schematic view of a logistics distribution system according to an embodiment of the invention. As shown in fig. 3, in an embodiment of the present invention, there is provided a logistics distribution system including: unmanned aerial vehicle 310, unmanned vehicle 320 and processor 330, wherein:
a drone 310 configured to send a collaboration request to the processor 330; selecting the unmanned vehicle 320 and a corresponding unmanned vehicle driving route according to the state information meeting the preset condition; and performing pairing between the drone 310 and the drone 320 based on the device identification lookup table.
An unmanned vehicle 320 configured to perform a logistics distribution operation of the no-fly flight segment according to an operation start point, a start operation time, and a distribution operation time; the start position is reached before the start of the job time to wait.
A processor 330 configured to determine a start position and an end position of a no-fly segment of the drone 310; determining an arrival time of the drone 310 at the start location; determining a work starting point and a work starting time of the unmanned vehicle 320 according to the starting position and the arrival time; determining the flight section length of the no-fly flight section according to the end position and the initial position; determining the distribution operation time of the unmanned vehicle 320 according to the flight segment length; controlling the unmanned vehicle 320 to execute the logistics distribution operation of the no-fly navigation section according to the operation starting point, the operation starting time and the distribution operation time; after the unmanned vehicle 320 completes the logistics distribution operation of the no-fly segment, the unmanned aerial vehicle 310 is controlled to execute the logistics distribution operation.
The logistics distribution system determines the initial position and the end position of the no-fly-away section of the unmanned aerial vehicle through the processor, determines the arrival time of the unmanned aerial vehicle to the initial position, determines the operation starting point and the operation starting time of the unmanned vehicle according to the initial position and the arrival time, determines the flight section length of the no-fly-away section according to the end position and the initial position, further determines the distribution operation time of the unmanned vehicle, controls the unmanned vehicle to execute the logistics distribution operation of the no-fly-away section according to the operation starting point, the operation starting time and the distribution operation time, and controls the unmanned vehicle to execute the logistics distribution operation after the unmanned vehicle completes the logistics distribution operation of the no-fly-away section. To the no-fly section, adopt unmanned vehicles to replace unmanned aerial vehicle and accomplish the logistics distribution operation of the no-fly section, through the no-fly district of unmanned vehicles auxiliary delivery transition, avoid the distance of detour, the operating time of accurate control unmanned vehicles, after the logistics distribution operation of the no-fly section of accomplishing, continue to adopt unmanned aerial vehicle to deliver, prolonged unmanned aerial vehicle's delivery distance, improved unmanned aerial vehicle's long distance delivery ability. In one embodiment, the processor 330 is further configured to: acquiring a flight route of the unmanned aerial vehicle 310; and determining the starting position and the end position of the no-fly section of the unmanned aerial vehicle 310 according to the flight route and the no-fly zone distribution information.
In one embodiment, the processor 330 is further configured to: receiving a cooperation request sent by the drone 310, wherein the cooperation request includes a current location of the drone 310; acquiring state information of the unmanned vehicle 320 within a preset range of the current position; the status information meeting the preset conditions is sent to the drone 310 for selection.
In one embodiment, the status information includes at least one of: location information, free vehicle condition, electrical quantity condition, and distance to empty.
In one embodiment, the processor 330 is further configured to: the unmanned vehicle travel route is sent to the unmanned aerial vehicle 310 for selection, wherein the unmanned vehicle travel route includes a start position and an end position of the no-fly segment.
In one embodiment, the processor 330 is further configured to: receiving the drone vehicle 320 selected by the drone 310; the unmanned vehicle 320 is controlled to arrive at the start position to wait before the start time of the work.
In one embodiment, the number of the no-fly segments is multiple, and the processor 330 is further configured to: determining unmanned vehicle distribution information corresponding to the flight forbidden section according to the state information and the flight section length of the flight forbidden section; and controlling the unmanned vehicle 320 to operate according to the unmanned vehicle distribution information.
In one embodiment, the processor 330 is further configured to: acquiring distances between a plurality of adjacent flight prohibiting sections; and combining a plurality of no-fly sections into one no-fly section under the condition that the distance is less than a first threshold value and the sum of the distance and the section length of the corresponding no-fly section is less than a second threshold value.
In one embodiment, the unmanned vehicle allocation information includes a device identification look-up table, and the processor 330 is further configured to: in the case where the drone 310 reaches the start position of the no-fly segment, the drone 310 is controlled to perform pairing between the drone 310 and the drone 320 based on the device identification collation table.
In one embodiment, the drone vehicle 320 may be used to charge the drone 310. When the logistics distribution operation of the no-fly segment is completed, the unmanned vehicle 320 can be used for carrying the unmanned vehicle 310 to complete the logistics distribution operation, wherein the unmanned vehicle 310 can utilize the unmanned vehicle 320 to supplement the electric quantity for the unmanned vehicle 310 in the process of parking the unmanned vehicle 320. When the unmanned vehicle 320 runs out of the area of the no-fly segment, the unmanned vehicle 310 continues to take off to complete the logistics distribution operation.
An embodiment of the present invention provides a processor configured to execute the logistics distribution method according to the foregoing embodiment.
An embodiment of the present invention provides a machine-readable storage medium, which stores instructions thereon, and when the instructions are executed by a processor, the instructions cause the processor to execute the logistics distribution method according to the foregoing embodiment.
The present application also provides a computer program product comprising a computer program which, when executed by a processor, implements the logistics distribution method according to the above-described embodiments.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. 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.
In a typical configuration, a device includes one or more processors (CPUs), memory, and a bus. The device may also include input/output interfaces, network interfaces, and the like.
The memory may include volatile memory in a computer readable medium, Random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip. The memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application 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 above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. A logistics distribution method, comprising:
determining the starting position and the end position of a no-fly section of the unmanned aerial vehicle;
determining an arrival time of the drone at the starting location; determining the operation starting point and the operation starting time of the unmanned vehicle according to the starting position and the arrival time;
determining the flight segment length of the no-fly-away flight segment according to the end position and the starting position;
determining the distribution operation time of the unmanned vehicle according to the flight segment length; controlling the unmanned vehicle to execute the logistics distribution operation of the no-fly section according to the operation starting point, the operation starting time and the distribution operation time;
and after the unmanned vehicle finishes the logistics distribution operation of the no-fly navigation section, controlling the unmanned vehicle to execute the logistics distribution operation.
2. The logistics distribution method of claim 1, wherein the determining the starting position and the ending position of the no-fly segment of the unmanned aerial vehicle comprises:
acquiring a flight route of the unmanned aerial vehicle;
and determining the starting position and the end position of the no-fly section of the unmanned aerial vehicle according to the flight route and the no-fly zone distribution information.
3. The logistics distribution method of claim 1, further comprising:
receiving a cooperation request sent by the unmanned aerial vehicle, wherein the cooperation request comprises the current position of the unmanned aerial vehicle;
acquiring the state information of the unmanned vehicle within the preset range of the current position;
and sending the state information meeting the preset conditions to the unmanned aerial vehicle for selection.
4. The logistics distribution method according to claim 3, wherein the number of the no-fly section is plural, and the logistics distribution method further comprises:
determining unmanned vehicle distribution information corresponding to the no-fly navigation section according to the state information and the section length of the no-fly navigation section;
and controlling the unmanned vehicle to operate according to the unmanned vehicle distribution information.
5. The logistics distribution method of claim 4, further comprising:
acquiring distances between a plurality of adjacent flight prohibiting sections;
and combining a plurality of the no-fly sections into one no-fly section under the condition that the distance is smaller than a first threshold value and the sum of the distance and the section length of the corresponding no-fly section is smaller than a second threshold value.
6. The distribution method of logistics according to claim 4, wherein the unmanned vehicle distribution information includes a device identification look-up table, and the distribution method of logistics further comprises:
and under the condition that the unmanned aerial vehicle reaches the starting position of the no-fly section, controlling the unmanned aerial vehicle to execute pairing between the unmanned aerial vehicle and the unmanned vehicle based on the equipment identification comparison table.
7. A processor configured to perform the logistics distribution method of any one of claims 1 to 6.
8. A logistics distribution system, wherein the system comprises an unmanned vehicle, an unmanned aerial vehicle, and the processor of claim 7.
9. The logistics distribution system of claim 8, wherein the unmanned vehicle is configured to charge the unmanned aerial vehicle.
10. A machine-readable storage medium having instructions stored thereon, wherein the instructions, when executed by a processor, cause the processor to perform the logistics distribution method of any one of claims 1 to 6.
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