CN110341952A - A kind of unmanned plane delivery system, energy consumption optimization method and unmanned plane - Google Patents
A kind of unmanned plane delivery system, energy consumption optimization method and unmanned plane Download PDFInfo
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- CN110341952A CN110341952A CN201910502162.8A CN201910502162A CN110341952A CN 110341952 A CN110341952 A CN 110341952A CN 201910502162 A CN201910502162 A CN 201910502162A CN 110341952 A CN110341952 A CN 110341952A
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- 238000005265 energy consumption Methods 0.000 title claims abstract description 101
- 238000000034 method Methods 0.000 title claims abstract description 44
- 238000005457 optimization Methods 0.000 title claims abstract description 23
- 238000004590 computer program Methods 0.000 claims description 12
- 230000037396 body weight Effects 0.000 claims description 9
- 239000012141 concentrate Substances 0.000 claims description 4
- 230000005611 electricity Effects 0.000 claims description 4
- 230000006870 function Effects 0.000 claims description 3
- 238000010586 diagram Methods 0.000 description 6
- 238000004364 calculation method Methods 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 238000010992 reflux Methods 0.000 description 2
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 description 1
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Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
- B60L53/80—Exchanging energy storage elements, e.g. removable batteries
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60S—SERVICING, CLEANING, REPAIRING, SUPPORTING, LIFTING, OR MANOEUVRING OF VEHICLES, NOT OTHERWISE PROVIDED FOR
- B60S5/00—Servicing, maintaining, repairing, or refitting of vehicles
- B60S5/06—Supplying batteries to, or removing batteries from, vehicles
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B64—AIRCRAFT; AVIATION; COSMONAUTICS
- B64C—AEROPLANES; HELICOPTERS
- B64C39/00—Aircraft not otherwise provided for
- B64C39/02—Aircraft not otherwise provided for characterised by special use
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B64—AIRCRAFT; AVIATION; COSMONAUTICS
- B64D—EQUIPMENT FOR FITTING IN OR TO AIRCRAFT; FLIGHT SUITS; PARACHUTES; ARRANGEMENTS OR MOUNTING OF POWER PLANTS OR PROPULSION TRANSMISSIONS IN AIRCRAFT
- B64D27/00—Arrangement or mounting of power plant in aircraft; Aircraft characterised thereby
- B64D27/02—Aircraft characterised by the type or position of power plant
- B64D27/24—Aircraft characterised by the type or position of power plant using steam, electricity, or spring force
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/083—Shipping
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L2200/00—Type of vehicles
- B60L2200/10—Air crafts
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/70—Energy storage systems for electromobility, e.g. batteries
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/7072—Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T50/00—Aeronautics or air transport
- Y02T50/40—Weight reduction
Abstract
The embodiment of the present application discloses a kind of unmanned plane delivery system, energy consumption optimization method and unmanned plane, energy consumption optimization method includes: unmanned plane load-carrying to influence unmanned plane energy consumption and unmanned plane mileage as quantity of state in unmanned plane dispatching, establishes unmanned plane energy consumption model;Wherein the unmanned plane mileage includes lost motion and Loaded haul cycle;It based on the unmanned plane energy consumption model, determines when making unmanned plane energy consumption values minimum, battery weight information in battery weight information and Loaded haul cycle in lost motion;Respectively according to battery weight information in battery weight information in the lost motion and the Loaded haul cycle, the battery controlled in unmanned plane dispatching is loaded.The technical solution of the present embodiment saves energy consumption, thereby reduces unmanned plane distribution cost by reducing battery weight when unmanned plane during flying.
Description
Technical field
This application involves air vehicle technique fields, and in particular to a kind of unmanned plane delivery system, energy consumption optimization method
And unmanned plane.
Background technique
The consumer level unmanned plane of mainstream is substantially all using battery as energy source on the market at present, and the continuation of the journey of battery
Limited time, such as only 30 minutes, this allows for the balance between battery capacity and battery weight.Because increasing battery to hold
Amount, unmanned plane weight naturally also will increase, and the increase of unmanned plane weight influences the flying speed and continuation of the journey of unmanned plane again in turn
Time, moreover, unmanned machine battery price general charged are also more expensive, also cause unmanned plane distribution cost high, therefore, need pair
Energy consumption in unmanned plane dispatching optimizes.
Summary of the invention
In view of this, the embodiment of the present application provide a kind of unmanned plane delivery system, energy consumption optimization method and nobody
Machine saves unmanned plane energy consumption by adjusting the battery weight in unmanned plane delivery process, thereby reduce unmanned plane dispatching at
This.
According to the one aspect of the application, energy consumption optimization method in a kind of unmanned plane dispatching is provided, method includes:
Using the unmanned plane load-carrying and unmanned plane mileage for influencing unmanned plane energy consumption as quantity of state, establishes unmanned plane energy and disappear
Consume model;Wherein the unmanned plane mileage includes lost motion and Loaded haul cycle;
Based on the unmanned plane energy consumption model, when determination makes unmanned plane energy consumption values minimum, electricity in lost motion
Battery weight information in pond weight information and Loaded haul cycle;
Respectively according to battery weight information in battery weight information in the lost motion and the Loaded haul cycle, control
Battery in unmanned plane dispatching loads.
According to further aspect of the application, a kind of unmanned plane is provided, unmanned plane includes: processor, and is stored with
The memory for the computer program that can be run on a processor;
Wherein, the processor, for executing one side of the application when executing the computer program in the memory
The step of face.
According to the another aspect of the application, provide a kind of unmanned plane delivery system, comprising: battery handling facilities and
Unmanned plane as described in further aspect of the application;
The battery handling facilities, for the control instruction according to unmanned plane, load unmanned machine battery to unmanned plane or from
Unmanned machine battery is unloaded on the unmanned plane;
The unmanned plane, for influence unmanned plane energy consumption unmanned plane load-carrying and unmanned plane mileage as quantity of state,
Unmanned plane energy consumption model is established, wherein the unmanned plane mileage includes lost motion and Loaded haul cycle;Based on it is described nobody
Machine energy consumption model, when determination makes unmanned plane energy consumption values minimum, battery weight information and loading row in lost motion
Battery weight information in journey;Respectively according to battery weight in battery weight information in the lost motion and the Loaded haul cycle
Information generates control instruction, and control instruction is sent to the battery handling facilities to control the battery dress in unmanned plane dispatching
It carries.
The utility model has the advantages that using the scheme of the embodiment of the present application, to influence the unmanned plane load-carrying and nothing of unmanned plane energy consumption
Man-machine mileage is that quantity of state establishes unmanned plane energy consumption model, is based on unmanned plane energy consumption model, and determination makes unmanned function
Battery weight information in battery weight information and Loaded haul cycle in lost motion when measuring consumption value minimum, respectively according to unloaded row
Battery weight information in battery weight information and Loaded haul cycle in journey, the battery in control unmanned plane dispatching load.Root as a result,
According to the battery weight information different with the two stages of loading unloaded in unmanned plane delivery process, battery in unmanned plane dispatching is controlled
Loading, adjust unmanned plane weight, reduce gross mass when the hollow middle operation of unmanned delivery process, reduce energy consumption, realize energy
Amount optimization, further decreases the distribution cost of unmanned plane.
Detailed description of the invention
Fig. 1 is the flow chart of energy consumption optimization method in the unmanned plane dispatching of the application one embodiment;
Fig. 2 is the unmanned plane dispatching stroke schematic diagram of the application one embodiment;
Fig. 3 is the structural block diagram of the unmanned plane of the application one embodiment;
Fig. 4 is the block diagram of the unmanned plane delivery system of the application one embodiment.
Specific embodiment
To keep the above objects, features, and advantages of the embodiment of the present application more obvious and easy to understand, with reference to the accompanying drawing and
Specific embodiment is described in further detail the embodiment of the present application.Obviously, described embodiment is the application one
Divide embodiment, instead of all the embodiments.Based on the embodiment in the application, those of ordinary skill in the art are not making
Every other embodiment obtained under the premise of creative work belongs to the range of the embodiment of the present application protection.
A critically important problem is energy consumption cost problem in unmanned plane dispatching, currently in order to reducing energy consumption cost, mostly
The method being self-possessed using drone body weight, that is, unmanned plane is reduced.Wherein, come mostly in a manner of reducing unmanned plane dead load
It realizes.But the structural material of existing unmanned plane mostly uses carbon fibre material, and dead load has accounted for the ratio of unmanned plane gross mass
Very little, thus it is unobvious using which progress energy consumption cost effect of optimization.In this regard, the embodiment of the present application proposes, pass through optimization
Unmanned plane weight come reduce unmanned plane dispatching in energy loss, specially optimization delivery process in unmanned machine battery weight.
Fig. 1 is the flow chart of energy consumption optimization method in the unmanned plane dispatching of the application one embodiment, referring to Fig. 1,
Energy consumption optimization method in the unmanned plane dispatching of the present embodiment, including the following steps:
Step S101 establishes nothing using the unmanned plane load-carrying and unmanned plane mileage for influencing unmanned plane energy consumption as quantity of state
Man-machine energy consumption model;Wherein the unmanned plane mileage includes lost motion and Loaded haul cycle;
Step S102 is based on the unmanned plane energy consumption model, unloaded when determination makes unmanned plane energy consumption values minimum
Battery weight information in battery weight information and Loaded haul cycle in stroke;
Step S103, respectively according to battery weight in battery weight information in the lost motion and the Loaded haul cycle
Information, the battery controlled in unmanned plane dispatching load.
As shown in Figure 1 it is found that energy consumption optimization method is in the unmanned plane dispatching of the present embodiment with unmanned plane load-carrying and inner
Journey is that variable constructs unmanned plane energy consumption model, and solves when making unmanned plane energy consumption values minimum battery weight in lost motion
Battery weight in amount and Loaded haul cycle, according to battery weight information in battery weight information in lost motion and Loaded haul cycle
The battery controlled in unmanned plane dispatching loads.Thus in the different traveling sections of unmanned plane delivery process, using different weight
Battery power supply reduces gross mass when the aerial operation of unmanned dispatching, reduces energy consumption, further reduced unmanned plane dispatching at
This.
Below in conjunction with a specific application scenarios, to energy consumption optimization method in the unmanned plane dispatching of the present embodiment
Realize that step is illustrated.
In practical application, it is step respectively that energy consumption optimization method, which mainly includes three steps, in unmanned plane dispatching
(1) unmanned plane energy consumption model is constructed;Step (2) unmanned plane energy consumption values calculate;Step (3) control unmanned plane is matched
Battery in sending loads.Each step 1 one is illustrated below.
Step (1) constructs unmanned plane energy consumption model;
Unmanned plane energy consumption is mainly related to unmanned plane quality and mileage, therefore in the present embodiment, to influence unmanned plane energy
The unmanned plane load-carrying of consumption and unmanned plane mileage are quantity of state, establish unmanned plane energy consumption model.Here unmanned plane mileage
Including lost motion and Loaded haul cycle;
In order to determine load-carrying and mileage, the method for the present embodiment is before establishing unmanned plane energy consumption model: obtaining goods
The weight information of object, dispatching starting point information and dispatching destination information;According to dispatching starting point information and dispatching destination letter
Breath determines the Loaded haul cycle;The first lost motion is determined according to unmanned plane airport and the dispatching starting point, is matched according to described in
Destination and the unmanned plane airport is sent to determine the second lost motion;By the Loaded haul cycle, first lost motion and
Second lost motion obtains the unmanned plane mileage.Here dispatching starting point is such as Wangjing, dispenses destination such as
It is international trade, cargo is such as to take out food product.
Fig. 2 is the unmanned plane dispatching stroke schematic diagram of the application one embodiment, and referring to fig. 2, a unmanned plane, which is matched, to be passed through
Journey includes three sections of flight strokes altogether, is first stroke, second stroke and third trip respectively,
First stroke: unmanned plane is unloaded, is flown by automatic airport to dispatching starting point;
Second stroke: unmanned plane load is flown by dispensing starting point to dispatching destination;
Third trip: unmanned plane is unloaded, returns to automatic machine field by dispatching destination.
There was only second stroke unmanned plane in three sections of strokes is load flight, and load-carrying is true by unmanned plane self weight and goods weight
It is fixed, and first stroke and third trip unmanned plane are unloaded flight, are determined so unmanned plane load-carrying is self-possessed by unmanned plane.
The corresponding load-carrying of lost motion, Loaded haul cycle and lost motion and Loaded haul cycle for obtaining unmanned plane it
Afterwards, the present embodiment establishes unmanned function using the unmanned plane load-carrying for influencing unmanned plane energy consumption and unmanned plane mileage as quantity of state
Amount consumption models include: to obtain the first energy consumption values according to lost motion and the first unmanned plane load-carrying;First unmanned plane load-carrying
Including battery weight in body weight and lost motion;According to Loaded haul cycle and the second unmanned plane load-carrying, obtains the second energy and disappear
Consumption value;Second unmanned plane load-carrying includes body weight, battery weight and goods weight in Loaded haul cycle;Disappeared based on the first energy
Consumption value and the second energy consumption values, obtain unmanned plane energy consumption values.Here body weight is the driving motor on unmanned plane
Weight and body construction in control storehouse, battery compartment, freight house and the sum of each controller and the weight of sensor.
Step (2) unmanned plane energy consumption values calculate;
Based on the unmanned plane energy consumption model established in previous step in the present embodiment, unmanned plane energy consumption is determined most
Small value, and the battery weight in battery weight information and Loaded haul cycle in lost motion when unmanned plane energy consumption values minimum
Information.
For example, unmanned plane energy consumption model is W=total weight * total kilometrage, dimension kgkm;
Unmanned plane energy consumption minimum value W in single dispatching2=(ma+mb1)*(L1+L2+L3)+(mb2+mc)*L2,
Wherein maIndicate this body weight of unmanned plane, mcIndicate goods weight, mb1Indicate the first battery weight, mb2Indicate the
Two battery weights;L1Indicate first stroke, L2Indicate that second stroke is L3Indicate third trip.
That is, when Weight Loaded is carrying unmanned plane equal to the first battery of the first battery weight in lost motion
When Weight Loaded is equal to the first battery and the second battery of the second battery in goods stroke, unmanned plane energy consumption values W2It is minimum.
In order to carry out verifying W2It is whether minimum, by W2With unmanned plane energy consumption W in traditional scheme1It is compared, wherein W1=(ma
+mb1+mb2)*(L1+L2+L3)+mc*L2。
It is obvious that W2<W1, the unmanned plane energy consumption of the present embodiment is less.
The battery that step (3) controls in unmanned plane dispatching loads
In determining lost motion in battery weight information and Loaded haul cycle after battery weight information, in this step
Respectively according to battery weight information in battery weight information in the lost motion and the Loaded haul cycle, controls unmanned plane and match
Battery in sending loads.
It specifically include: to be controlled in the lost motion that unmanned plane dispenses according to battery weight information in the lost motion
Load the first battery;According to battery weight information in the Loaded haul cycle, controls and load the in the Loaded haul cycle of unmanned plane dispatching
One battery and the second battery.
For example, the first battery here is unmanned plane from charged pool, the second battery is to be loaded into nothing in dispatching starting point
Reserve battery on man-machine.The first battery is loaded in the lost motion of unmanned aerial vehicle (UAV) control dispatching, and is controlled and filled in Loaded haul cycle
Carry the first battery and the second battery, thus not only met goods delivery demand but also save the energy consumption in delivery process into
And reduce distribution cost.
In one embodiment, according to battery weight information in the Loaded haul cycle, the Loaded haul cycle of unmanned plane dispatching is controlled
It is middle load the first battery and the second battery include: loaded in the Loaded haul cycle for control unmanned plane dispatching first battery and
Multiple second batteries are to the unmanned plane;The quantity of second battery is according to the unmanned plane battery compartment for accommodating the second battery
Preset volume determine, or according to acquisition goods weight and Loaded haul cycle length determine.
That is, specifically according to battery weight information in Loaded haul cycle, in the Loaded haul cycle for controlling unmanned plane dispatching
When loading the first battery and the second battery, it can control and load first battery to unmanned plane in Loaded haul cycle and load
Multiple second batteries are to unmanned plane.The quantity of second battery is under the premise of meeting battery weight according to the appearance of unmanned plane battery compartment
Product determines, for example the volume of unmanned plane battery compartment is that can accommodate 6 piece of second battery, then if 6 piece second in Loaded haul cycle
The total weight of battery is no more than this condition of battery weight in Loaded haul cycle, then can load 6 piece of second battery to unmanned plane
Battery compartment is to fill battery compartment.It, can also be according to the length of goods weight and Loaded haul cycle in another embodiment of the application
(or distance) is spent to determine the quantity of the second battery, for example, determining and needing according to the length of goods weight and Loaded haul cycle
Using 4 piece of second battery, the total weight of 4 piece of second battery is no more than battery weight in Loaded haul cycle, then only needing to pacify at this time
4 piece of second battery is filled to the battery compartment of unmanned plane without filling battery compartment.
According to battery weight information in battery weight information in lost motion and the Loaded haul cycle, controlling nothing respectively
After battery in man-machine dispatching loads, the method for the present embodiment further include: the remaining capacity information of each unmanned machine battery is obtained,
When the remaining capacity of any unmanned machine battery is lower than preset threshold, switching unmanned plane power supply is greater than for remaining capacity
The unmanned machine battery of preset threshold.
Since number of batteries is muti-piece in Loaded haul cycle in the unmanned plane of the present embodiment, then, it can be in Loaded haul cycle
The remaining capacity information for obtaining each battery, when the remaining capacity of any battery is lower than preset threshold, switching unmanned plane power supply electricity
Source is the battery that remaining capacity is greater than preset threshold, so that muti-piece battery be made full use of to provide energy jointly for unmanned plane, it is ensured that
Complete dispatching task.
From the foregoing, it will be observed that energy consumption optimization method in the unmanned plane dispatching of the present embodiment, is continuously runed applied to unmanned plane
Scene in, by control unmanned plane difference travel section in different weight battery load and power supply, for example, unmanned plane is unloaded
In the case of load the first battery and using the first battery power, load the first battery and the second battery in load conditions, and adopt
It is powered jointly with the first battery and the second battery.Gross mass when unmanned dispatching is aerial to be run is had adjusted in this way, to reduce
Energy consumption further reduced unmanned distribution cost.
A technical concept is belonged to energy consumption optimization method in the dispatching of aforementioned unmanned plane, is gone back in the embodiment of the present application
A kind of unmanned plane is provided, Fig. 3 is the structural block diagram of the unmanned plane of the application one embodiment,
Referring to Fig. 3, the unmanned plane 300 of the present embodiment includes: processor 301, and being stored with can be in the processor 301
The memory 302 of the computer program of upper operation.Processor 301, for executing the computer program in the memory 302
In Shi Zhihang the embodiment of the present application unmanned plane dispatching in energy consumption optimization method each step.Memory 302 can be such as
The electronic memory of flash memory, EEPROM (electrically erasable programmable read-only memory), EPROM, hard disk or ROM etc.Storage
Device 302 has the memory space 303 stored for executing the computer program of any method and step in the above method.Computer
Program can read or be written to this one or more computer program from one or more computer program product
In product.These computer program products include such as hard disk, the program code of compact-disc (CD), storage card or floppy disk etc
Carrier.Such computer program product is usually non-transient computer readable storage medium.The computer-readable storage medium
The calculation procedure of matter storage can execute energy consumption optimization method in the dispatching of unmanned plane shown in any of the above-described embodiment.Meter
Calculation machine program can be compressed in a suitable form.
In the embodiment of the present application, a kind of unmanned plane delivery system is additionally provided, Fig. 4 is nobody of the application one embodiment
The block diagram of machine delivery system, referring to fig. 4, the unmanned plane delivery system 400 of the present embodiment include: battery handling facilities 401 and
Such as the unmanned plane 300 in the application previous embodiment;
The battery handling facilities 401 load unmanned machine battery to unmanned plane for the control instruction according to unmanned plane
300 or unmanned machine battery is unloaded from the unmanned plane 300;
The unmanned plane 300, for influence unmanned plane energy consumption unmanned plane load-carrying and unmanned plane mileage as state
Amount, establishes unmanned plane energy consumption model, wherein the unmanned plane mileage includes lost motion and Loaded haul cycle;Based on the nothing
Man-machine energy consumption model, when determination makes unmanned plane energy consumption values minimum, battery weight information and loading in lost motion
Battery weight information in stroke;Respectively according to battery weight in battery weight information in the lost motion and the Loaded haul cycle
Information is measured, control instruction is generated, control instruction is sent to the battery handling facilities to control the battery in unmanned plane dispatching
It loads.
In one embodiment of the application, unmanned plane delivery system 400 further include: battery transloading equipment, battery transhipment
Equipment concentrates counter and after taking out unmanned machine battery in concentration counter by unmanned machine battery for driving to according to transhipment instruction
It transports back to dispatching starting point;The concentration counter is located at dispatching destination, concentrates the nothing stored in counter and unloaded from unmanned plane
Man-machine battery.
By using counter is concentrated, dispatching destination can receive multiple cargos and wrap up and store the second battery of multiple groups.
In practical application, battery handling facilities are located at dispatching starting point and dispatching destination, and unmanned plane is per complete fortune
After row is primary, dispensing the second battery stored in the battery handling facilities of starting point can be reduced, and dispense the battery handling of destination
The quantity for the second battery that device memory is put will increase, in this regard, can (for example the low costs such as unmanned vehicle are set by battery transloading equipment
It is standby) battery for dispensing destination is transported back to dispatching starting point, it realizes battery reflux and recycles.Furthermore it is also possible in electricity
It charges in dispatching destination to the second battery before the reflux of pond, to meet under the continuous operation scene of unmanned plane dispatching
Battery supplied demand.
In one embodiment of the application, the unmanned plane 300 is specifically used for according to lost motion and the first unmanned plane
Load-carrying obtains the first energy consumption values;First unmanned plane load-carrying includes battery weight in body weight and lost motion;According to load
Goods stroke and the second unmanned plane load-carrying, obtain the second energy consumption values;Second unmanned plane load-carrying includes body weight, Loaded haul cycle
Middle battery weight and goods weight;Based on the first energy consumption values and the second energy consumption values, unmanned plane energy consumption is obtained
Value.
In one embodiment of the application, the unmanned plane 300 is used for before establishing unmanned plane energy consumption model
Obtain the weight information of cargo, dispatching starting point information and dispatching destination information;According to dispatching starting point information and dispatching mesh
Ground information determine the Loaded haul cycle;The first lost motion, foundation are determined according to unmanned plane airport and the dispatching starting point
The dispatching destination and the unmanned plane airport determine the second lost motion;By the Loaded haul cycle, the described first unloaded row
Journey and second lost motion obtain the unmanned plane mileage.
In one embodiment of the application, the unmanned plane 300 is specifically used for passing through the unmanned plane energy consumption mould
Type, when determination makes unmanned plane energy consumption values minimum, the weight of the weight of the first battery and the second battery;By described first
The weight of battery obtains battery weight in lost motion;The load is obtained by the weight of the first battery and the weight of the second battery
Battery weight in goods stroke.
In one embodiment of the application, the unmanned plane 300 is specifically used for according to battery weight in the lost motion
Information is measured, loads the first battery in the lost motion of control unmanned plane dispatching;According to battery weight information in the Loaded haul cycle,
The first battery and the second battery are loaded in the Loaded haul cycle of control unmanned plane dispatching.
In one embodiment of the application, the unmanned plane 300 is specifically used for the Loaded haul cycle of control unmanned plane dispatching
One the first battery of middle loading and multiple second batteries are to the unmanned plane;The quantity of second battery is according to for accommodating
The preset volume of the unmanned plane battery compartment of second battery is determining, or true according to the goods weight of acquisition and the length of Loaded haul cycle
It is fixed.
In one embodiment of the application, the unmanned plane 300 is also used to respectively according to electric in the lost motion
Battery weight information in pond weight information and the Loaded haul cycle obtains after controlling the battery loading in unmanned plane dispatching
The remaining capacity information of each unmanned machine battery, when the remaining capacity of any unmanned machine battery is lower than preset threshold, switching
Unmanned plane power supply is the unmanned machine battery that remaining capacity is greater than preset threshold.
In conclusion the unmanned plane delivery system of the embodiment of the present application, energy consumption optimization method and unmanned plane by
Different traveling sections in unmanned plane delivery process, control load the battery of different weight, reduce unmanned plane and run in the sky
When gross mass, reduce energy consumption, further reduced unmanned plane distribution cost, unmanned plane is suitble to continuously to run scene, it is convenient
Large-scale promotion application.
The embodiment of the present application is carried out it should be noted that above-described embodiment illustrates rather than the embodiment of the present application
Limitation, and those skilled in the art can be designed alternative embodiment without departing from the scope of the appended claims.
In the claims, any reference symbol between parentheses should not be configured to limitations on claims.Word " packet
Containing " do not exclude the presence of element or step not listed in the claims.Word "a" or "an" located in front of the element is not arranged
Except there are multiple such elements.The embodiment of the present application can by means of include several different elements hardware and by means of
Properly programmed computer is realized.In the unit claims listing several devices, several in these devices can
To be to be embodied by the same item of hardware.Word, second and the use of third etc. do not indicate any sequence, can will
These words are construed to title.
Claims (10)
1. energy consumption optimization method in a kind of unmanned plane dispatching characterized by comprising
Using the unmanned plane load-carrying and unmanned plane mileage for influencing unmanned plane energy consumption as quantity of state, unmanned plane energy consumption mould is established
Type;Wherein the unmanned plane mileage includes lost motion and Loaded haul cycle;
Based on the unmanned plane energy consumption model, when determination makes unmanned plane energy consumption values minimum, battery weight in lost motion
Measure battery weight information in information and Loaded haul cycle;
Respectively according to battery weight information in battery weight information in the lost motion and the Loaded haul cycle, nobody is controlled
Battery in machine dispatching loads.
2. the method as described in claim 1, which is characterized in that it is described with influence unmanned plane energy consumption unmanned plane load-carrying and
Unmanned plane mileage is quantity of state, and establishing unmanned plane energy consumption model includes:
According to lost motion and the first unmanned plane load-carrying, the first energy consumption values are obtained;First unmanned plane load-carrying includes body weight
Amount and battery weight in lost motion;
According to Loaded haul cycle and the second unmanned plane load-carrying, the second energy consumption values are obtained;Second unmanned plane load-carrying includes body weight
It measures, battery weight and goods weight in Loaded haul cycle;
Based on the first energy consumption values and the second energy consumption values, unmanned plane energy consumption values are obtained.
3. the method as described in claim 1, which is characterized in that before establishing unmanned plane energy consumption model, this method packet
It includes:
Obtain the weight information of cargo, dispatching starting point information and dispatching destination information;
The Loaded haul cycle is determined according to dispatching starting point information and dispatching destination information;
The first lost motion is determined according to unmanned plane airport and the dispatching starting point, according to the dispatching destination and the nothing
Man-machine airport determines the second lost motion;
By the Loaded haul cycle, first lost motion and second lost motion obtain the unmanned plane mileage.
4. the method as described in claim 1, which is characterized in that described to be based on the unmanned plane energy consumption model, determination makes
When unmanned plane energy consumption values minimum, battery weight information includes: in battery weight information and Loaded haul cycle in lost motion
By the unmanned plane energy consumption model, determine when making unmanned plane energy consumption values minimum, the weight of the first battery with
And second battery weight;
Battery weight in lost motion is obtained by the weight of first battery;
Battery weight in the Loaded haul cycle is obtained by the weight of the first battery and the weight of the second battery.
5. method as claimed in claim 4, which is characterized in that described respectively according to battery weight information in the lost motion
And battery weight information in the Loaded haul cycle, the battery loading controlled in unmanned plane dispatching include:
According to battery weight information in the lost motion, controls in the lost motion of unmanned plane dispatching and load the first battery;
According to battery weight information in the Loaded haul cycle, control loaded in the Loaded haul cycle of unmanned plane dispatching the first battery and
Second battery.
6. method as claimed in claim 5, which is characterized in that described according to battery weight information in the Loaded haul cycle, control
The first battery is loaded in the Loaded haul cycle of unmanned plane dispatching processed and the second battery includes:
It controls and loads first battery and multiple second batteries in the Loaded haul cycle of unmanned plane dispatching to the unmanned plane;
The quantity of second battery is determining according to the preset volume of unmanned plane battery compartment, or according to the goods weight and load of acquisition
The length of goods stroke determines.
7. such as method described in any one of claims 1 to 6, which is characterized in that
According to battery weight information in battery weight information in the lost motion and the Loaded haul cycle, controlling nothing respectively
After battery in man-machine dispatching loads, the method also includes:
The remaining capacity information of each battery is obtained,
When the remaining capacity of any battery is lower than preset threshold, switching unmanned plane power supply is that remaining capacity is greater than in advance
If the battery of threshold value.
8. a kind of unmanned plane, which is characterized in that the unmanned plane includes: processor, and is stored with and can run on a processor
Computer program memory;
Wherein, the processor, for appointing in perform claim requirement 1 to 7 when executing the computer program in the memory
The step of one the method.
9. a kind of unmanned plane delivery system characterized by comprising battery handling facilities and nothing as claimed in claim 8
It is man-machine;
The battery handling facilities load unmanned machine battery to unmanned plane or from described for the control instruction according to unmanned plane
Unmanned machine battery is unloaded on unmanned plane;
The unmanned plane, for influence unmanned plane energy consumption unmanned plane load-carrying and unmanned plane mileage as quantity of state, establish
Unmanned plane energy consumption model, wherein the unmanned plane mileage includes lost motion and Loaded haul cycle;Based on the unmanned function
Consumption models are measured, are determined when making unmanned plane energy consumption values minimum, in lost motion in battery weight information and Loaded haul cycle
Battery weight information;Believe respectively according to battery weight in battery weight information in the lost motion and the Loaded haul cycle
Breath generates control instruction, and control instruction is sent to the battery handling facilities to control the battery in unmanned plane dispatching and load.
10. unmanned plane delivery system as claimed in claim 9, which is characterized in that the unmanned plane delivery system further include: electricity
Pond transloading equipment;
Battery transloading equipment concentrates counter and after taking out unmanned machine battery in concentration counter for driving to according to transhipment instruction
Unmanned machine battery is transported back to dispatching starting point;
The concentration counter is located at dispatching destination, concentrates the unmanned machine battery stored in counter and unloaded from unmanned plane.
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