CN110348611A - The optimum allocation method and system on a kind of networking unmanned plane reservation base station 5G charging level ground - Google Patents
The optimum allocation method and system on a kind of networking unmanned plane reservation base station 5G charging level ground Download PDFInfo
- Publication number
- CN110348611A CN110348611A CN201910542307.7A CN201910542307A CN110348611A CN 110348611 A CN110348611 A CN 110348611A CN 201910542307 A CN201910542307 A CN 201910542307A CN 110348611 A CN110348611 A CN 110348611A
- Authority
- CN
- China
- Prior art keywords
- unmanned plane
- level ground
- charging
- charging level
- base station
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 30
- 230000006855 networking Effects 0.000 title claims abstract description 21
- 230000005611 electricity Effects 0.000 claims abstract description 14
- 238000005265 energy consumption Methods 0.000 claims description 15
- 238000004891 communication Methods 0.000 claims description 5
- 238000004364 calculation method Methods 0.000 claims description 2
- 230000001413 cellular effect Effects 0.000 abstract description 4
- 238000010295 mobile communication Methods 0.000 abstract description 3
- 238000010586 diagram Methods 0.000 description 4
- 230000015572 biosynthetic process Effects 0.000 description 2
- 238000003786 synthesis reaction Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000000977 initiatory effect Effects 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 230000036632 reaction speed Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- 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
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06312—Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
-
- 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
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
Abstract
The invention discloses the optimum allocation methods and system on a kind of networking unmanned plane reservation base station 5G charging level ground, request whether current location information when charging, remaining capacity information, task route information, level ground of charging are idle state by unmanned plane, consider that the low electric energy warning information of unmanned plane carries out the optimum allocation on charging level ground, there is higher reservation stability；Using existing mobile communication base station, realization has good infrastructural support to the supply of unmanned plane electricity, reduces the capital investment of infrastructure；The position of each cellular base station is fixed, it is convenient for unmanned plane path planning and the addressing of charging level ground, in addition, being easily achieved information exchange between unmanned plane and base station between base station and base station, can be provided for unmanned plane more comprehensively, widely charge level ground information, be conducive to it is optimal charging level ground selection.
Description
Technical field
The invention belongs to UAV Intelligent charging schedule technical fields, and in particular to a kind of networking unmanned plane reservation base station 5G
The optimum allocation method on charging level ground, the invention further relates to the systems for realizing the above method.
Background technique
Unmanned plane has flexibility high, and mobility is good, and reaction speed is fast, and operation requires low advantage, answers extensively
For multiple fields such as logistics, security protection, aerial survey, inspection and agriculturals.Recently as country, to low latitude domain, open, unmanned plane is managed
Etc. the appearance of relevant policies and the gradually mature hair for further having pushed unmanned plane industry and market of 5G mobile communication technology
Exhibition.Unmanned plane usually needs to be implemented the task that far range is interior, time-consuming, but existing electronic multi-rotor unmanned aerial vehicle is usual
Can only be non-stop flight about 1 hour, it is not able to satisfy round-the-clock, uninterrupted, AUTONOMOUS TASK the demand of unmanned plane.Although can be by taking
Extend the unmanned plane utonomous working period with high capacity cell, but undoubtedly increase load in this way, reduces unmanned machine operation
Efficiency, do not tackle the problem at its root.Unmanned plane can obtain energy resource supply nearby during AUTONOMOUS TASK, be to solve it
The prefered method of energy deficiency problem in long-term autonomous operation process.Existing cellular mobile communication base station dense distribution and can
To provide electric energy, just meet the demand condition of unmanned plane charging level ground arrangement, therefore can realize unmanned plane by base station
Energy resource supply.
When unmanned plane is when needing to charge, multiple unmanned planes may be faced and compete the same charging level grounds or a unmanned plane
Have multiple charging level grounds alternately the case where, how to realize at this time charging level ground reasonable distribution and it is optimal charging level ground selection be nothing
A man-machine charging main problem to be solved.
Summary of the invention
The object of the present invention is to provide a kind of optimum allocation methods on networking unmanned plane reservation base station 5G charging level ground, solve nothing
It is man-machine in the task of execution the problem of energy recharge.
It is a further object of the present invention to provide a kind of optimum allocation sides on above-mentioned networking unmanned plane reservation base station 5G charging level ground
The system of method.
The technical scheme adopted by the invention is that a kind of optimum allocation side on networking unmanned plane reservation base station 5G charging level ground
Method is specifically implemented according to the following steps:
Step 1, base station collect the current state on charging level ground, and simultaneously broadcast related information is then updated in constant duration；
The unmanned plane driven into base station communication radius can obtain charging level ground situation, be sentenced according to the information such as self electric quantity and destination distance
It is fixed whether to need to initiate charging reservation；
Step 2, when battery capacity is lower than charge threshold, unmanned plane is selected current location and is filled to available between destination
Electric level ground；
Step 3 is obtaining and can calculate electricity consumed by unmanned plane to each charging level ground traveling with behind charging level ground；Synthesis is examined
Consider the energy consumption for driving towards charging level ground, itself course information, remaining capacity, task emergency Multiple factors and carry out decision, realizes most
Excellent charging level ground distribution；
Step 4, unmanned plane send reservation application to selected charging level ground, position including unmanned plane distance charging level ground, current
Electricity and E.T.A；
Step 5, during unmanned plane drives towards selected charging level ground, decide whether to update its using the information newly obtained pre-
About, if necessary to update, then new charging level ground is reserved again, otherwise continue former reservation platform charging；
Step 6, after charging complete, unmanned plane continues to execute its task.
Present invention is also characterized in that
In step 2: unmanned plane charge threshold is divided into 3 grades according to the number of remaining capacity, when unmanned plane remaining capacity is
It is level-one low electric energy early warning shelves when 30%~40%；It is the low electric energy early warning shelves of second level when remaining capacity is 20%~30%；When
It is three-level low electric energy early warning shelves when remaining capacity is 10%~20%；When multiple UAVs compete the same charging level ground, early warning
There is the higher unmanned plane of series higher priority to charge.
In step 2: the number to be charged on the way according to unmanned plane current location, destination locations and unmanned plane,
Being divided into the two kinds of situation selections that only need once to charge and need repeatedly to charge can be that S indicates present bit with charging level ground, detailed process
It sets, D expression destination draws circle by radius of unmanned plane remaining capacity coverage R_1, be denoted as circle 1 using S as the center of circle；It is with D
The center of circle justifies by radius work of maximum coverage R_2 of unmanned plane when fully charged, is denoted as circle 2；WhereinWithE in formulacFor unmanned plane current residual electricity, RmaxTotal electricity when being full of for battery, αevFly for unmanned plane
The energy consumption of every meter of row；Alternately charge level ground set on the available charging level ground of overlapping region between two circles；When between circle 1 and circle 2
There is no overlapping region, unmanned plane, which needs to carry out repeatedly charging, can just arrive at the destination；Charging level ground selected by charging for the first time is
One in multiple alternative charging level grounds in 1 coverage area of circle, the coverage area for being chosen at circle 2 on subsequent charge level ground is interior to be carried out
Selection.
In step 3: influencing the factor and its weight calculation detailed process of decision are as follows: every meter in (a) unmanned plane driving process
Energy consumption be αev, the energy consumption that unmanned plane reaches charging level ground is calculated according to the distance between unmanned plane and base station r, consume energy bigger weight
It is smaller, it is denoted as w1=ε αevR, wherein ε is energy consumption weight coefficient；(b) according to unmanned plane destination and charging level ground position whether
In same direction, if the two direction unanimously if set biggish weight, if the two is not in same direction, i.e. unmanned plane will be spent more
Big cost charges, then sets lesser weight, be denoted as w2；(c) the more few then weight of unmanned plane remaining capacity is bigger, is denoted as
w3；(d) significance level of unmanned plane execution task is higher, and weight is bigger, is denoted as w4；(e) according to w=w1+w2+w3+w4, w value gets over
There is greatly higher priority to charge.
Another technical solution of the present invention is a kind of optimum allocation on networking unmanned plane reservation base station 5G charging level ground
System, including multiple base stations 5G charging level ground and unmanned plane, each base station 5G charging level ground are equipped with one or more charging level ground data letters
Cease processing module, be provided on unmanned plane the Position Fixing Navigation System being connected to the network mutually, Unmanned Aerial Vehicle Data message processing module with
And charging guidance information release module, charge level ground processing data information module and Unmanned Aerial Vehicle Data message processing module and charging
Guidance information issues data connection bootstrap algorithm and realizes module.
The beneficial effects of the present invention are:
The optimum allocation method and system on a kind of networking unmanned plane reservation of present invention base station 5G charging level ground, 1. pass through unmanned plane
Whether current location information, remaining capacity information, task route information when request charging, charging level ground are idle state, are considered
The low electric energy warning information of unmanned plane carries out the optimum allocation on charging level ground, has higher reservation stability；2. utilizing existing shifting
Dynamic communication base station, realization have good infrastructural support to the supply of unmanned plane electricity, reduce the capital investment of infrastructure；
3. the position of each cellular base station is fixed, it is convenient for unmanned plane path planning and the addressing of charging level ground, in addition, unmanned plane and base station
Between information exchange is easily achieved between base station and base station, can be provided for unmanned plane more comprehensively, widely charging level ground letter
Breath is conducive to the selection on optimal charging level ground.
Detailed description of the invention
Fig. 1 is that a kind of networking unmanned plane of the present invention reserves unmanned plane and charging in the optimum allocation system on the base station 5G charging level ground
Level ground information exchange schematic diagram；
Fig. 2 is the optimum allocation method flow diagram that a kind of networking unmanned plane of the present invention reserves the base station 5G charging level ground；
Fig. 3 is that unmanned plane only needs in a kind of optimum allocation method on networking unmanned plane reservation of present invention base station 5G charging level ground
The schematic diagram once to be charged；
Fig. 4 be the present invention it is a kind of networking unmanned plane reserve the base station 5G charge level ground optimum allocation method in unmanned plane need into
The schematic diagram that row repeatedly charges.
Specific embodiment
The following describes the present invention in detail with reference to the accompanying drawings and specific embodiments.
A kind of optimum allocation method on networking unmanned plane reservation of present invention base station 5G charging level ground, it is specifically real according to the following steps
It applies:
Step 1: the information such as position, power system capacity state and the charged state on charging level ground are collected in base station as shown in Figure 1, then
Simultaneously broadcast related information is updated in constant duration.The unmanned plane driven into base station communication radius can obtain charging level ground shape
Condition determines a need for initiating charging reservation, as shown in Fig. 2, if necessary according to the information such as self electric quantity and destination distance
Charging then carries out the selection and reservation on charging level ground, if you do not need to charging then continues to continue to fly along current route；
Step 2: when battery capacity is lower than charge threshold, unmanned plane is selected current location and is filled to available between destination
Electric level ground；
According to the number that unmanned plane current location, destination locations and unmanned plane charge on the way, it is divided into nobody
Machine only needs once to charge and needs repeatedly two kinds of situations of charging, as shown in Figure 3, Figure 4.
S indicates that current location, D indicate destination in Fig. 3, using S as the center of circle, with unmanned plane remaining capacity coverage R_1
It draws and justifies for radius, be denoted as circle 1；Using D as the center of circle, justifies by radius work of maximum coverage R_2 of unmanned plane when fully charged, be denoted as
Circle 2.WhereinWithE in formulacFor unmanned plane current residual electricity, RmaxWhen being full of for battery
Total electricity, αevFor every meter of unmanned plane during flying of energy consumption.The available charging level ground of overlapping region is alternately charged level ground between two circles
Set.
L is the distance between current location and destination in Fig. 4, does not have overlapping region, i.e. unmanned plane between circle 1 and circle 2
Needing to carry out repeatedly to charge can just arrive at the destination.Therefore, the charging level ground selected by charging for the first time is in 1 coverage area of circle
One in multiple alternative charging level grounds, being chosen in round 2 coverage area for subsequent charge level ground is selected.
Step 3: can estimate electricity consumed by unmanned plane to each charging level ground traveling with behind charging level ground obtaining.Synthesis is examined
Consider the Multiple factors such as energy consumption, itself course information, remaining capacity, the task emergency for driving towards charging level ground and carry out decision, realizes
Optimal charging level ground distribution.Wherein, the weight of each influence factor is as follows；
(a) every meter of energy consumption is α in unmanned plane driving processev, nobody is calculated according to the distance between unmanned plane and base station r
Machine reaches the energy consumption on charging level ground, and the bigger weight that consumes energy is smaller, is denoted as w1=ε αevR, wherein ε is energy consumption weight coefficient；
(b) according to unmanned plane destination and charging level ground position whether in same direction, if the two direction unanimously if setting compared with
Big weight, if the two is not in same direction, i.e. unmanned plane will spend bigger cost to charge, then set lesser power
Weight, is denoted as w2；
(c) the more few then weight of unmanned plane remaining capacity is bigger, is denoted as w3；
(d) significance level of unmanned plane execution task is higher, and weight is bigger, is denoted as w4；
(e) according to w=w1+w2+w3+w4, w value is bigger, and there is higher priority to charge.
Step 4: unmanned plane sends reservation application to selected charging level ground, position including unmanned plane distance charging level ground, current
Electricity and E.T.A etc.；
Step 5: during unmanned plane drives towards selected charging level ground, deciding whether to update its using the information newly obtained pre-
About, if necessary to update, then new charging level ground is reserved again, otherwise continue former reservation platform charging；
Step 6: after charging complete, unmanned plane continues to execute its task.
The system for realizing the optimum allocation method on the above-mentioned networking unmanned plane reservation base station 5G charging level ground, including multiple base stations 5G
Charge level ground and unmanned plane, and each base station 5G charging level ground is equipped with one or more charging level ground processing data information modules, on unmanned plane
It is provided with the Position Fixing Navigation System being connected to the network mutually, Unmanned Aerial Vehicle Data message processing module and charging guidance information publication mould
Block, the level ground processing data information module that charges and Unmanned Aerial Vehicle Data message processing module and charging guidance information issue data connection
Bootstrap algorithm realizes module.
The optimum allocation method and system on a kind of networking unmanned plane reservation of present invention base station 5G charging level ground, 1. pass through unmanned plane
Whether current location information, remaining capacity information, task route information when request charging, charging level ground are idle state, are considered
The low electric energy warning information of unmanned plane carries out the optimum allocation on charging level ground, has higher reservation stability；2. utilizing existing shifting
Dynamic communication base station, realization have good infrastructural support to the supply of unmanned plane electricity, reduce the capital investment of infrastructure；
3. the position of each cellular base station is fixed, it is convenient for unmanned plane path planning and the addressing of charging level ground, in addition, unmanned plane and base station
Between information exchange is easily achieved between base station and base station, can be provided for unmanned plane more comprehensively, widely charging level ground letter
Breath is conducive to the selection on optimal charging level ground.
Claims (5)
1. it is a kind of networking unmanned plane reservation the base station 5G charging level ground optimum allocation method, which is characterized in that the method includes with
Lower step:
Step 1, base station collect the current state on charging level ground, and simultaneously broadcast related information is then updated in constant duration；It drives into
Unmanned plane in base station communication radius can obtain charging level ground situation, be according to the information judgement such as self electric quantity and destination distance
No needs initiate charging reservation；
Step 2, when battery capacity be lower than charge threshold when, unmanned plane selects current location to the available charging between destination
Level ground；
Step 3 is obtaining and can calculate electricity consumed by unmanned plane to each charging level ground traveling with behind charging level ground；Comprehensively consider and sails
Decision is carried out to the energy consumption on charging level ground, itself course information, remaining capacity, task emergency Multiple factors, is realized optimal
The distribution of charging level ground；
Step 4, unmanned plane send reservation application to selected charging level ground, position, current electric quantity including unmanned plane distance charging level ground
And E.T.A；
Step 5, during unmanned plane drives towards selected charging level ground, decide whether to update its reservation using the information newly obtained,
If necessary to update, then new charging level ground is reserved again, otherwise continue former reservation platform charging；
Step 6, after charging complete, unmanned plane continues to execute its task.
2. a kind of optimum allocation method on networking unmanned plane reservation base station 5G charging level ground according to claim 1, feature
It is, in the step 2, unmanned plane charge threshold is divided into 3 grades according to the number of remaining capacity, when unmanned plane remaining capacity is
It is level-one low electric energy early warning shelves when 30%~40%；It is the low electric energy early warning shelves of second level when remaining capacity is 20%~30%；When
It is three-level low electric energy early warning shelves when remaining capacity is 10%~20%；When multiple UAVs compete the same charging level ground, early warning
There is the higher unmanned plane of series higher priority to charge.
3. a kind of optimum allocation method on networking unmanned plane reservation base station 5G charging level ground according to claim 1 or 2, special
Sign is, in the step 2, is charged on the way according to unmanned plane current location, destination locations and unmanned plane secondary
Number, being divided into only needs once charging and needs two kinds of situation selections of repeatedly charging that can use charging level ground, and detailed process be that S indicates current
Position, D indicate destination, using S as the center of circle, are drawn and are justified as radius using unmanned plane remaining capacity coverage R_1, are denoted as circle 1；With D
For the center of circle, justifies by radius work of maximum coverage R_2 of unmanned plane when fully charged, be denoted as circle 2；WhereinWithE in formulacFor unmanned plane current residual electricity, RmaxTotal electricity when being full of for battery, αevFor unmanned plane during flying
Every meter of energy consumption；Alternately charge level ground set on the available charging level ground of overlapping region between two circles；Do not have when between circle 1 and circle 2
There is overlapping region, unmanned plane, which needs to carry out repeatedly charging, can just arrive at the destination；Charging level ground selected by charging for the first time is circle 1
One in multiple alternative charging level grounds in coverage area, being chosen in round 2 coverage area for subsequent charge level ground are selected
It selects.
4. a kind of optimum allocation method on networking unmanned plane reservation base station 5G charging level ground according to claim 3, feature
It is, in the step 3, influences the factor and its weight calculation detailed process of decision are as follows: every meter in (a) unmanned plane driving process
Energy consumption be αev, the energy consumption that unmanned plane reaches charging level ground is calculated according to the distance between unmanned plane and base station r, consume energy bigger weight
It is smaller, it is denoted as w1=ε αevR, wherein ε is energy consumption weight coefficient；(b) according to unmanned plane destination and charging level ground position whether
In same direction, if the two direction unanimously if set biggish weight, if the two is not in same direction, i.e. unmanned plane will be spent more
Big cost charges, then sets lesser weight, be denoted as w2；(c) the more few then weight of unmanned plane remaining capacity is bigger, is denoted as
w3；(d) significance level of unmanned plane execution task is higher, and weight is bigger, is denoted as w4；(e) according to w=w1+w2+w3+w4, w value gets over
There is greatly higher priority to charge.
5. a kind of optimum allocation system on networking unmanned plane reservation base station 5G charging level ground, which is characterized in that including multiple base stations 5G
Charge level ground and unmanned plane, and each base station 5G charging level ground is equipped with one or more charging level ground processing data information modules, on unmanned plane
It is provided with the Position Fixing Navigation System being connected to the network mutually, Unmanned Aerial Vehicle Data message processing module and charging guidance information publication mould
Block, the level ground processing data information module that charges and Unmanned Aerial Vehicle Data message processing module and charging guidance information issue data connection
Bootstrap algorithm realizes module.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910542307.7A CN110348611A (en) | 2019-06-21 | 2019-06-21 | The optimum allocation method and system on a kind of networking unmanned plane reservation base station 5G charging level ground |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910542307.7A CN110348611A (en) | 2019-06-21 | 2019-06-21 | The optimum allocation method and system on a kind of networking unmanned plane reservation base station 5G charging level ground |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110348611A true CN110348611A (en) | 2019-10-18 |
Family
ID=68182689
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910542307.7A Pending CN110348611A (en) | 2019-06-21 | 2019-06-21 | The optimum allocation method and system on a kind of networking unmanned plane reservation base station 5G charging level ground |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110348611A (en) |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112140914A (en) * | 2020-09-10 | 2020-12-29 | 军事科学院系统工程研究院军事新能源技术研究所 | Unmanned aerial vehicle power supply system |
| CN112286226A (en) * | 2020-10-29 | 2021-01-29 | 西北工业大学 | Unmanned aerial vehicle management system |
| CN112564767A (en) * | 2020-11-30 | 2021-03-26 | 北京邮电大学 | Continuous coverage method based on self-organizing optimization cooperation in unmanned aerial vehicle network |
| CN112668792A (en) * | 2020-12-31 | 2021-04-16 | 广州极飞科技有限公司 | Replenishment planning method, operation method and related device |
| CN112706629A (en) * | 2021-01-19 | 2021-04-27 | 北京京东乾石科技有限公司 | Unmanned aerial vehicle laser charging system |
| CN114771330A (en) * | 2022-06-20 | 2022-07-22 | 西南交通大学 | Unmanned aerial vehicle charging method and system based on integration of communication perception, calculation and energy transfer |
| CN116844381A (en) * | 2023-06-06 | 2023-10-03 | 广州思谋信息科技有限公司 | Unmanned aerial vehicle shutdown management system and method based on artificial intelligence |
| CN117284526A (en) * | 2023-11-25 | 2023-12-26 | 陕西德鑫智能科技有限公司 | Automatic power-changing management method and device for unmanned device based on battery detection |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003262525A (en) * | 2002-03-08 | 2003-09-19 | Nissan Motor Co Ltd | Charging stand information-supplying apparatus |
| US20110032110A1 (en) * | 2009-08-07 | 2011-02-10 | Denso Corporation | Electric power amount information output device and system |
| CN106026308A (en) * | 2016-07-29 | 2016-10-12 | 乐视控股（北京）有限公司 | Unmanned aerial vehicle charging method and device |
| CN106092083A (en) * | 2016-05-31 | 2016-11-09 | 夏烬楚 | A kind of unmanned plane path planning management system and method |
| CN108829138A (en) * | 2018-06-08 | 2018-11-16 | 西安理工大学 | A kind of unmanned plane charging level ground distribution and finding method based on cellular base station |
| CN108995823A (en) * | 2018-07-26 | 2018-12-14 | 上海楚山电子科技有限公司 | Unmanned plane wireless sharing charging airplane parking area and the wireless charging method with priority |
| CN109032177A (en) * | 2018-07-28 | 2018-12-18 | 江苏苏宁物流有限公司 | A kind of optimization unmanned plane Path Method and device |
-
2019
- 2019-06-21 CN CN201910542307.7A patent/CN110348611A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003262525A (en) * | 2002-03-08 | 2003-09-19 | Nissan Motor Co Ltd | Charging stand information-supplying apparatus |
| US20110032110A1 (en) * | 2009-08-07 | 2011-02-10 | Denso Corporation | Electric power amount information output device and system |
| CN106092083A (en) * | 2016-05-31 | 2016-11-09 | 夏烬楚 | A kind of unmanned plane path planning management system and method |
| CN106026308A (en) * | 2016-07-29 | 2016-10-12 | 乐视控股（北京）有限公司 | Unmanned aerial vehicle charging method and device |
| CN108829138A (en) * | 2018-06-08 | 2018-11-16 | 西安理工大学 | A kind of unmanned plane charging level ground distribution and finding method based on cellular base station |
| CN108995823A (en) * | 2018-07-26 | 2018-12-14 | 上海楚山电子科技有限公司 | Unmanned plane wireless sharing charging airplane parking area and the wireless charging method with priority |
| CN109032177A (en) * | 2018-07-28 | 2018-12-18 | 江苏苏宁物流有限公司 | A kind of optimization unmanned plane Path Method and device |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112140914A (en) * | 2020-09-10 | 2020-12-29 | 军事科学院系统工程研究院军事新能源技术研究所 | Unmanned aerial vehicle power supply system |
| CN112286226A (en) * | 2020-10-29 | 2021-01-29 | 西北工业大学 | Unmanned aerial vehicle management system |
| CN112564767A (en) * | 2020-11-30 | 2021-03-26 | 北京邮电大学 | Continuous coverage method based on self-organizing optimization cooperation in unmanned aerial vehicle network |
| CN112564767B (en) * | 2020-11-30 | 2021-09-21 | 北京邮电大学 | Continuous coverage method based on self-organizing optimization cooperation in unmanned aerial vehicle network |
| CN112668792A (en) * | 2020-12-31 | 2021-04-16 | 广州极飞科技有限公司 | Replenishment planning method, operation method and related device |
| CN112668792B (en) * | 2020-12-31 | 2022-09-13 | 广州极飞科技股份有限公司 | Replenishment planning method, operation method and related device |
| CN112706629A (en) * | 2021-01-19 | 2021-04-27 | 北京京东乾石科技有限公司 | Unmanned aerial vehicle laser charging system |
| CN114771330A (en) * | 2022-06-20 | 2022-07-22 | 西南交通大学 | Unmanned aerial vehicle charging method and system based on integration of communication perception, calculation and energy transfer |
| CN116844381A (en) * | 2023-06-06 | 2023-10-03 | 广州思谋信息科技有限公司 | Unmanned aerial vehicle shutdown management system and method based on artificial intelligence |
| CN117284526A (en) * | 2023-11-25 | 2023-12-26 | 陕西德鑫智能科技有限公司 | Automatic power-changing management method and device for unmanned device based on battery detection |
| CN117284526B (en) * | 2023-11-25 | 2024-03-22 | 陕西德鑫智能科技有限公司 | Automatic power-changing management method and device for unmanned device based on battery detection |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110348611A (en) | The optimum allocation method and system on a kind of networking unmanned plane reservation base station 5G charging level ground | |
| CN106197459B (en) | Consider the electric car path optimization method of voyage and the station location that charges | |
| CN105322559B (en) | A kind of electric automobile distribution dispatch control method based on V2G technologies | |
| US11087422B2 (en) | Method and device for determining a configuration for deployment of a public transportation system | |
| CN102074978B (en) | Charging and replacing power station, charging and replacing control method and system and operation monitoring system | |
| CN104253470B (en) | Electric automobile and grid interacted and coordinated orderly charging control method | |
| US9682633B2 (en) | Charge control device, battery management device, charge control method, and record medium | |
| CN108448731B (en) | Energy supplement method for cooperative wireless sensor network and wireless sensor network thereof | |
| CN109398149A (en) | Intelligent electric automobile charge-discharge system and its progress control method based on distributed energy application | |
| CN107453381B (en) | Electric car cluster power regulating method and system based on two stages cross-over control | |
| CN114897199A (en) | Electric vehicle electric quantity path planning method compatible with energy storage charging pile | |
| CN104175898A (en) | Method and system for providing charge service to electric vehicles | |
| CN109489676A (en) | A kind of meter and electric network information and the electric car of charge station information charge air navigation aid | |
| US11619499B2 (en) | Electric vehicle navigation method and system based on power guidance of energy-storage charging pile | |
| CN104124724A (en) | Charging control apparatus and method thereof | |
| CN110232219A (en) | A kind of schedulable capacity ratification method of electric car based on data mining | |
| CN108829138A (en) | A kind of unmanned plane charging level ground distribution and finding method based on cellular base station | |
| CN110293872A (en) | A kind of electric car intelligent charge navigation system and method | |
| CN115360804B (en) | Ordered charging system and ordered charging method | |
| Brenna et al. | Synergy between renewable sources and electric vehicles for energy integration in distribution systems | |
| Salah et al. | Simultaneous electric vehicles scheduling and optimal charging in the business context: case study | |
| Yuan et al. | Sac: Solar-aware e-taxi fleet charging coordination under dynamic passenger mobility | |
| WO2022142134A1 (en) | Battery-based multi-stage power distribution system | |
| CN101905678A (en) | SEG (smart energy gateway) for optimized energy flow control | |
| Liu et al. | Efficient electric vehicles assignment for platoon-based charging |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20191018 |
|
| RJ01 | Rejection of invention patent application after publication |