CN208271033U - Multi-source Information Fusion intelligent decision autonomous flight plant protection drone - Google Patents
Multi-source Information Fusion intelligent decision autonomous flight plant protection drone Download PDFInfo
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- CN208271033U CN208271033U CN201820809162.3U CN201820809162U CN208271033U CN 208271033 U CN208271033 U CN 208271033U CN 201820809162 U CN201820809162 U CN 201820809162U CN 208271033 U CN208271033 U CN 208271033U
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Abstract
The utility model discloses a kind of Multi-source Information Fusion intelligent decision autonomous flight plant protection drones, including information acquisition system, ground control station and plant protection drone；Information acquisition system includes unmanned plane acquisition system, meteorological acquisition system and internet state of an illness acquisition server；Unmanned plane acquisition system includes EO-1 hyperion camera, airborne radar, CCD camera, GPS system, dipper system and acquisition drone body；Meteorological acquisition system includes air velocity transducer, wind transducer and meteorological acquisition controller；Plant protection drone includes plant protection drone ontology and application system and navigation system；Drone body, meteorological acquisition controller, internet state of an illness acquisition server and plant protection drone ontology is acquired to communicate to connect with ground control station.The utility model solves few existing plant protection drone acquisition information, Crop Information, weather information and does not merge with job information, is difficult to realize the problems such as intelligent precisely autonomous application.
Description
Technical field
The utility model belongs to agricultural plant protection air vehicle technique field, is specifically related to a kind of Multi-source Information Fusion intelligent decision
Autonomous flight plant protection drone.
Background technique
Agricultural plant protection unmanned plane has low operating efficiency height, labor intensity, labour's less investment, intelligence degree high, suitable
The notable features such as Ying Xingguang, are grown rapidly in recent years.2017, the agricultural unmanned plane of China load 5Kg or more was possessed
Amount occupies the first in the world more than Japan up to 10,000；Plant protection operation area rose to 2017 less than 100,000 mus times from 2013
100,000,000 mu times or more of year；Agricultural unmanned plane manufacturing enterprise is from 260 for increasing to 2016 less than 10 in 2010, unmanned plane
The agriculture field application output value reaches 1,000,000,000 yuan or more.The product such as agricultural unmanned plane product covers single rotor, more rotors, and oil is dynamic, electronic
Kind, emerging new high-tech industry with Chinese characteristics has been formed, has had certain international influence.
But there are still many problem and shortage needs are perfect for current plant protection drone.Agricultural land information obtains aspect, carries out
The monitoring of soil nutrient and crop growing state, but acquisition of information content and plant protection drone operation interaction are less, can not instruct
Plant protection drone carries out efficiently accurate operation.In terms of flight control technology.First is that existing flight control system is not yet realized both at home and abroad
The information real-time perception such as crop, environment weather, and also fail to flight information effective integration, can not be according to plant height, wind
The factors such as speed realize that job parameter is adjusted in real time, and homework precision is difficult to ensure.Two are a lack of integral intelligent control system, operation
Component difficulty is big.In terms of plant protection drone application, most agricultural unmanned planes are sprayed using independent device for administration of drugs, constant,
Discharge rate can not be combined effectively with information such as agricultural unmanned plane operating speed, field crops, the state of an illness, it is difficult to realize that intelligence is precisely applied
Medicine.
In conclusion the agricultural unmanned plane in China not yet realizes that multi-source information is detected and merged at present, it is difficult to it is multiple to meet farmland
Heterocycle border autonomous flight demand, manipulation difficulty is big, and the less important works Component Intelligent degree such as application is not high, serious to restrict China's agriculture
The fast lifting of industry aviation level of operation.
Utility model content
Technical problem to be solved in the utility model is to provide a kind of multi-source information in view of the above shortcomings of the prior art
Intelligent decision autonomous flight plant protection drone is merged, this Multi-source Information Fusion intelligent decision autonomous flight plant protection drone solves
Plant protection drone in the prior art obtains few information, Crop Information, weather information and does not merge, is difficult to realize with job information
The problems such as intelligent precisely autonomous application.
To realize the above-mentioned technical purpose, the technical solution that the utility model is taken are as follows:
A kind of Multi-source Information Fusion intelligent decision autonomous flight plant protection drone, it is characterised in that: including information collection system
System, ground control station and plant protection drone；
The information acquisition system includes unmanned plane acquisition system, meteorological acquisition system and makees for being acquired by internet
The internet state of an illness acquisition server of the state of an illness information in industry plot；
The unmanned plane acquisition system includes the bloom for acquiring drone body and being fixed in acquisition drone body
It composes camera, airborne radar, CCD camera, GPS system and dipper system and acquires drone body, the EO-1 hyperion camera, airborne thunder
It reaches, CCD camera, GPS system and dipper system are electrically connected with acquisition drone body；
The meteorology acquisition system includes that air velocity transducer, wind transducer and meteorological acquisition controller, the wind speed pass
Sensor and wind transducer are electrically connected with meteorological acquisition controller；
The plant protection drone includes plant protection drone ontology and the application system being fixed on plant protection drone ontology
And navigation system, the application system and navigation system are electrically connected with plant protection drone ontology；
The acquisition drone body, meteorological acquisition controller and internet state of an illness acquisition server are and ground control station
Wireless communication connection；The ground control station and plant protection drone ontology wireless communication connect.
As the further improved technical solution of the utility model, the ground control station includes intelligent decision processing system
Plan processing system with AUTONOMOUS TASK, the intelligent decision processing system respectively with acquisition drone body, meteorological acquisition control
Device and the wireless communication connection of internet state of an illness acquisition server, the AUTONOMOUS TASK planning processing system and plant protection drone ontology
Wireless communication connection；The intelligent decision processing system is for receiving unmanned plane acquisition system, meteorological acquisition system and internet
The multi-source information of state of an illness acquisition server transmission and the field information bank for establishing operation plot, the intelligent decision processing system are used
In carrying out rasterizing to operation plot according to field information bank, the AUTONOMOUS TASK plans processing system according to the information of rasterizing
The geographical location information in union cooperation industry plot carries out routeing to form operation air route information, the AUTONOMOUS TASK planning
Processing system is for sending operation air route information to plant protection drone.
As the further improved technical solution of the utility model, the EO-1 hyperion camera is fixed on acquisition drone body
Bottom and for according to acquisition drone body control instruction Collecting operation plot crop growth conditions information and crop
State of an illness information, the airborne radar are fixed on the bottom of the acquisition drone body and for according to acquisition drone bodies
The plant height information and crop canopies information in control instruction Collecting operation plot；The CCD camera is fixed on acquisition unmanned plane
The bottom of ontology is simultaneously used for the realtime graphic according to the control instruction Collecting operation plot of acquisition drone body and analyzes crop
Growth information and the real-time state of an illness information of crop；The GPS system and dipper system are each attached to the top of acquisition drone body
And for receiving satellite-signal according to the control instruction of acquisition drone body to construct the geographical location information in operation plot；
The acquisition drone body is used to be flown according to the control instruction of acquisition drone body.
As the further improved technical solution of the utility model, the meteorology acquisition system includes temperature sensor and wet
Sensor is spent, the temperature sensor and humidity sensor are electrically connected with meteorological acquisition controller.
As the further improved technical solution of the utility model, the application system includes medicine-chest, Teat pipette, showerhead electrode
And centrifugal energy nozzle, the medicine-chest are connect with Teat pipette, the Teat pipette is connect with the centrifugal energy nozzle, the centrifugal energy nozzle and the spray
Head motor electrical connection.
It further include supervisory systems as the further improved technical solution of the utility model, the supervisory systems includes prison
Pipe server, the supervision server and plant protection drone ontology wireless communication connect, and the supervision server is for receiving simultaneously
The information that storage plant protection drone ontology is remotely sent.
It further include user terminal as the further improved technical solution of the utility model, the user terminal includes meter
Calculation machine terminal and mobile terminal, the user terminal are used for through the plant protection drone of storage in network inquiry supervision server
Information.
The utility model has the following beneficial effects: the utility model provides the plant of Multi-source Information Fusion intelligent decision autonomous flight
Unmanned plane is protected, operation field is obtained by unmanned plane acquisition system, meteorological acquisition system and internet state of an illness acquisition server and is made
Object upgrowth situation, the state of an illness, plant height, canopy information, wind speed, wind direction, temperature, humidity, geography information and prevention and control of plant diseases, pest control side
Case establishes information bank by intelligent decision processing system and rasterizing forms operation air route information, and plant protection drone is navigated according to operation
Road information carries out autonomous flight and accurate variable farm chemical applying, while supervisory systems supervises in overall process to plant protection drone, data system
Meter and analysis realize the combination of much information, intelligent integration, full AUTONOMOUS TASK and supervise in overall process, and existing at present
The mode that some plant protection drones carry out manual or default course line progress operation is compared, and homework precision, intelligence are substantially increased
Degree, pesticide utilization rate and control efficiency, while can realize that a people controls multimachine operation or multi-machine collaborative operation, reduce operation
Personnel amount and manipulation difficulty, improve operating efficiency.Intelligent with the large-scale application of plant protection drone and to operation,
The requirement of precision, the utility model application prospect is huge, has good economic value and social value.
Detailed description of the invention
Fig. 1 is the system composite structural diagram of the utility model.
Fig. 2 is the operation plot rasterizing schematic diagram of the utility model.
Fig. 3 is the System control structures figure of the utility model.
Specific embodiment
Specific embodiment of the present utility model is further illustrated below according to Fig. 1 to Fig. 3:
Referring to Fig. 1, a kind of Multi-source Information Fusion intelligent decision autonomous flight plant protection drone, including information acquisition system 1,
Ground control station 2 and plant protection drone 5.
The information acquisition system 1 is including unmanned plane acquisition system 11, meteorological acquisition system 13 and for passing through internet
Internet state of an illness acquisition server 14 of the state of an illness information in Collecting operation plot etc..Internet state of an illness acquisition server 14(, that is, mutual
Networking state of an illness acquisition system is obtained the pest and disease damage title in operation plot in real time by internet associated conditions issuing web site, journey occurs
Degree, control prece refer to form state of an illness information for 5 operating decision of plant protection drone.)
The unmanned plane acquisition system 11 includes the height for acquiring drone body and being fixed in acquisition drone body
Spectrum camera 112, airborne radar 113, CCD camera 111, GPS system and dipper system 114, the EO-1 hyperion camera 112, machine
Radar 113, CCD camera 111, GPS system and dipper system 114 is carried to be electrically connected with acquisition drone body.
The meteorology acquisition system 13 includes air velocity transducer 131, wind transducer 134 and meteorological acquisition controller, institute
It states air velocity transducer 131 and wind transducer 134 is electrically connected with meteorological acquisition controller.Meteorological acquisition system 13 is movable type
Meteorological acquisition system 13 acquires meteorological relevant information positioned at the field in operation plot in real time.
The plant protection drone 5 is used to carry out plant protection operation in operation field, comprising: plant protection drone ontology 51 and solid
Application system and the navigation system being scheduled on plant protection drone ontology 51, the application system and navigation system with plant protection nobody
Machine ontology 51 is electrically connected.The application system includes medicine-chest 52, Teat pipette 55, showerhead electrode 53 and centrifugal energy nozzle 54, the medicine-chest
52 connect with Teat pipette 55, and the Teat pipette 55 is connect with the centrifugal energy nozzle 54, the centrifugal energy nozzle 54 and the showerhead electrode 53
Electrical connection.
The acquisition drone body, meteorological acquisition controller and internet state of an illness acquisition server 14 are controlled with ground
2 wireless communications of standing connect；The ground control station 2 is connected with the wireless communication of plant protection drone ontology 51.
The ground control station 2 includes that intelligent decision processing system and AUTONOMOUS TASK plan that processing system, the intelligence are determined
Plan processing system is wirelessly communicated with acquisition drone body, meteorological acquisition controller and internet state of an illness acquisition server 14 respectively
Connection, the AUTONOMOUS TASK planning processing system and the wireless communication of plant protection drone ontology 51 connect；The intelligent decision processing
System is used to receive the multi-source that unmanned plane acquisition system 11, meteorological acquisition system 13 and internet state of an illness acquisition server 14 are sent
Information and the field information bank for establishing operation plot, the intelligent decision processing system are used for according to field information bank to operation
Block carries out rasterizing, and the AUTONOMOUS TASK plans processing system according to the geographical location in the information union cooperation industry plot of rasterizing
Information carries out routeing to form operation air route information, and the AUTONOMOUS TASK planning processing system is for sending operation air route
Information is to plant protection drone 5.
The EO-1 hyperion camera 112 is fixed on the bottom of acquisition drone body and for according to acquisition drone body
12 state of an illness information of 12 upgrowth situation information of crop and crop in control instruction Collecting operation plot, the airborne radar 113 are fixed
In the bottom for acquiring drone body and for the work according to the control instruction Collecting operation plot for acquiring drone body
12 canopy information of 12 elevation information of object and crop；The CCD camera 111 is fixed on the bottom of acquisition drone body and for root
According to acquisition drone body control instruction Collecting operation plot realtime graphic and analyze 12 growth information of crop and crop 12
Real-time state of an illness information；The GPS system and dipper system 114 are each attached to the top of acquisition drone body and adopt for basis
The control instruction of collection drone body receives satellite-signal to construct the geographical location information in operation plot；It is described to acquire nobody
Machine ontology is used to be flown according to the control instruction of acquisition drone body.
The meteorology acquisition system 13 includes temperature sensor 133 and humidity sensor 132, the temperature sensor 133
It is electrically connected with meteorological acquisition controller with humidity sensor 132.
The present embodiment further includes the supervisory systems 3 for plant protection drone 5 to be monitored and managed, the supervisory systems
3 include supervision server, the wireless communication of plant protection drone ontology 51 company of the supervision server and the plant protection drone 5
It connects, the supervision server is for receiving and storing the letter that the plant protection drone ontology 51 of the plant protection drone 5 is remotely sent
Breath.Supervision server can receive real time position, job state and the parameter of plant protection drone 5, work data is stored and is analyzed,
Statistics, for inquiry, supervisory systems 3 includes supervision server and supervision software etc..
The present embodiment further includes user terminal 4, and the user terminal 4 includes terminal 41 and mobile terminal 42, institute
User terminal 4 is stated for the information by the plant protection drone 5 of storage in network inquiry supervision server.
The present embodiment further includes the Internet of Things information transmission system, and the Internet of Things information transmission system completes each system, equipment, portion
Part data transmission, communication, including the field information transmission system, ground control station unmanned plane communication system, supervisory systems nobody
Machine communication system, earth station's monitoring system communication system etc..
The present embodiment is based on Multi-source Information Fusion intelligent decision autonomous flight plant protection drone and also provides a kind of control method,
The following steps are included: referring to Fig. 3,
Step 1: Crop Information acquisition: the acquisition drone body in unmanned plane acquisition system 11 flies in operation plot
Row, EO-1 hyperion camera 112 acquire according to the control instruction of acquisition drone body and send the growth shape of crop 12 in operation plot
Condition information and 12 state of an illness information of crop refer to drone body, airborne radar 113 is acquired according to the control of acquisition drone body
Enable 12 elevation information of crop for acquiring and sending operation plot and 12 canopy information of crop to acquisition drone body, CCD camera
111 according to acquisition drone body control instruction Collecting operation plot realtime graphic and pass through real-time image analysis crop 12
Growth information and the real-time state of an illness information of crop 12, CCD camera 111 send 12 growth information of crop and the real-time state of an illness information of crop 12
To acquisition drone body, GPS system and dipper system 114 are according to the control instruction reception satellite-signal for acquiring drone body
To construct the geographical location information in operation plot and send acquisition drone body for geographical location information, unmanned plane is acquired
Ontology believes the 12 upgrowth situation information of crop in operation plot, 12 state of an illness information of crop, 12 elevation information of crop, 12 canopy of crop
The multi-source informations such as breath, 12 growth information of crop, the real-time state of an illness information of crop 12 and the geographical location information in operation plot pass through object
Networked information Transmission system is sent to ground control station 2.
Step 2: meteorological information acquisition: air velocity transducer 131 detects the wind speed information in operation plot and sends out wind speed information
It is sent to meteorological acquisition controller, wind transducer 134 detects the wind direction information in operation plot and sends meteorology for wind direction information
Acquisition controller, the meteorology acquisition controller transmit the multi-source informations such as wind speed information and wind direction information by Internet of Things information
System is transmitted to ground control station 2.
Step 3: state of an illness information collection: internet state of an illness acquisition server 14 passes through internet checking and Collecting operation plot
State of an illness information and plant protection information, internet state of an illness acquisition server 14 is more by the state of an illness information in operation plot and plant protection information etc.
Source information is transmitted to ground control station 2 by the Internet of Things information transmission system.
Step 4: field information bank is collected and established to terrestrial information: the intelligent decision processing system in ground control station 2 connects
Receive the multi-source information that unmanned plane acquisition system 11, meteorological acquisition system 13 and internet state of an illness acquisition server 14 are sent and basis
Received multi-source information establishes the field information bank in operation plot, and the field information bank includes that geographical location information, crop are long
Gesture cd, plant height ch, wind speed ws, wind direction wd and disease index pi；Wherein disease index pi is according to unmanned plane acquisition system 11
The state of an illness information acquisition that the state of an illness information and internet state of an illness acquisition server 14 of transmission are sent, i.e., default state of an illness grade template,
By the state of an illness Information Statistics in operation plot and judge that the state of an illness information belongs to which state of an illness grade in state of an illness grade template, operation
The state of an illness grade of block is disease index pi.
Step 5: intelligent decision: establishing the corresponding relationship of controlling elements Yu field information bank, and the controlling elements include flying
Row height h, flying speed v, cross track distance s, Teat pipette flow q and showerhead electrode revolving speed n, the flying height h=f { ch, pi },
Flying speed v=f { ws, wd, pi }, cross track distance s=f { ws, wd }, Teat pipette flow q=f { cd, pi }, showerhead electrode revolving speed n=f
{ws,ch,pi}；That is flying height h is related to plant height ch and disease index pi, flying speed v and wind speed ws, wind direction wd
Related to disease index pi, cross track distance s is related to wind speed ws, wind direction wd, Teat pipette flow q and crop growing state cd and disease index
Pi is related, and showerhead electrode revolving speed n is related to plant height ch, wind speed ws and feelings index pi.
Step 6: operation plot rasterizing: intelligent decision processing system using the spraying swath of plant protection drone 5 as raster width and
Using preset length value L as grid length (such as 20m), rasterizing is carried out to operation plot, obtains several basic grids,
According to step 5 calculate corresponding flying height h in each basic grid, flying speed v, cross track distance s, Teat pipette flow q and
The value of showerhead electrode revolving speed n；If the difference of the flying height h in the basic grid of adjacent 2 is less than preset height difference and flies
The difference of scanning frequency degree v is less than pre-set velocity difference and the difference of cross track distance s is less than pre-determined distance difference and the difference of Teat pipette flow q
It is basic to merge adjacent 2 less than preset flow difference and when the difference of showerhead electrode revolving speed n is less than the difference of preset rotation speed for value
Grid selects in the basic grid of adjacent 2 flying height in any one basic grid to obtaining new operation grid
H, the value of flying speed v, cross track distance s, Teat pipette flow q and showerhead electrode revolving speed n as flying height h in the operation grid,
The value of flying speed v, cross track distance s, Teat pipette flow q and showerhead electrode revolving speed n；Otherwise, using basic grid as operation grid,
A final operation plot is divided into several big operation grids.As shown in Fig. 2, controlling elements in each operation grid
It is worth identical, Fig. 2 indicates the operation plot rasterizing schematic diagram of the utility model, and the left figure of Fig. 2 is with the spraying swath of plant protection drone 5
For the bar shaped grid that raster width is drawn, the right figure of Fig. 2 is to draw left figure by grid length of preset length value L again
Basic grid, and the operation grid map after adjacent basic grid is merged；Wherein R1, R2, R3, R4, R5, R6, R7, R8, R9,
R10, R11, R12 indicate operation grid；In the operation grid of R1, R2, R3, R4, R5, R6, R7, R8, R9, R10, R11, R12
Arrow be the direction of flight path that plant protection drone 5 works.
Step 7: establish operation air route information: intelligent decision processing system is by geographical location information, operation grid and work
Flying height h in industry grid, flying speed v, cross track distance s, Teat pipette flow q and showerhead electrode revolving speed n value be sent to independently
Work planning processing system, AUTONOMOUS TASK plan that processing system generates operation air route information, and operation air route information includes root
Fly in each operation grid in the work route information and work route information generated according to geographical location information and operation grid
The value of row height h, flying speed v, cross track distance s, Teat pipette flow q and showerhead electrode revolving speed n, AUTONOMOUS TASK plan processing system
The plant protection drone ontology 51 operation air route information remote sent in plant protection drone 5；The work route information includes
Operation boundary of land block information and start point information；
Step 8: plant protection drone intelligent accurate operation: the plant protection drone ontology 51 in plant protection drone 5 receives operation
Air route information simultaneously sends navigation system for the work route information in the information of operation air route, and plant protection drone ontology 51 is according to every
The control of work route information in a operation grid in flying height h, flying speed v and cross track distance s and navigation system
Instruction is flown, and application system refers to according to the control of Teat pipette flow q and showerhead electrode revolving speed n in plant protection drone ontology 51
Order is run；Realize intelligent accurate operation；
Step 9: the real-time position information of the navigation system detection plant protection drone ontology 51 in the plant protection drone 5 is simultaneously
It is sent to plant protection drone ontology 51, plant protection drone ontology 51 is by real-time position information and real-time operation air route information remote
The supervision server being sent in supervisory systems 3 and storage；
Step 10: 5 state of plant protection drone and work data inquiry: user terminal 4 passes through network inquiry supervision server
The information of the plant protection drone 5 of interior storage；Such as the real time position, job state, flight path of plant protection drone 5, can also inquire
Historical Jobs time, place, area, time used, flight path and operation quality etc..
The utility model provides Multi-source Information Fusion intelligent decision autonomous flight plant protection drone 5, is adopted by unmanned plane
Collecting system 11, meteorological acquisition system 13 and internet state of an illness acquisition server 14 obtain 12 upgrowth situation of operation field crops, disease
Feelings, plant height, canopy information, wind speed, wind direction, temperature, humidity, geography information and prevention and control of plant diseases, pest control scheme, by intelligent decision
Processing system establishes information bank and rasterizing forms operation air route information, and plant protection drone 5 carries out certainly according to operation air route information
Main flight and accurate variable farm chemical applying, while supervisory systems 3 supervises in overall process to plant protection drone 5, data statistics and analysis, it is real
Showed the combination of much information, intelligent integration, full AUTONOMOUS TASK and supervised in overall process, with current existing plant protection nobody
The mode that machine 5 carries out manual or default course line progress operation is compared, and homework precision, intelligence degree, pesticide benefit are substantially increased
With rate and control efficiency, while can realize that a people controls multimachine operation or multi-machine collaborative operation, reduce operator's quantity and
Difficulty is manipulated, operating efficiency is improved.It is intelligent, precision with the large-scale application of plant protection drone 5 and to operation
It is required that the utility model application prospect is huge, there is good economic value and social value.
The protection scope of the utility model includes but is not limited to embodiment of above, and the protection scope of the utility model is to weigh
Subject to sharp claim, replacement, deformation, the improvement that those skilled in the art that any pair of this technology is made is readily apparent that are each fallen within
The protection scope of the utility model.
Claims (7)
1. a kind of Multi-source Information Fusion intelligent decision autonomous flight plant protection drone, it is characterised in that: including information acquisition system,
Ground control station and plant protection drone；
The information acquisition system includes unmanned plane acquisition system, meteorological acquisition system and is used for by internet Collecting operation
The internet state of an illness acquisition server of the state of an illness information of block；
The unmanned plane acquisition system includes the EO-1 hyperion phase for acquiring drone body and being fixed in acquisition drone body
Machine, airborne radar, CCD camera, GPS system and dipper system, the EO-1 hyperion camera, airborne radar, CCD camera, GPS system
It is electrically connected with acquisition drone body with dipper system；
The meteorology acquisition system includes air velocity transducer, wind transducer and meteorological acquisition controller, the air velocity transducer
It is electrically connected with meteorological acquisition controller with wind transducer；
The plant protection drone includes plant protection drone ontology and the application system being fixed on plant protection drone ontology and leads
Boat system, the application system and navigation system are electrically connected with plant protection drone ontology；
The acquisition drone body, meteorological acquisition controller and internet state of an illness acquisition server are wireless with ground control station
Communication connection；The ground control station and plant protection drone ontology wireless communication connect.
2. Multi-source Information Fusion intelligent decision autonomous flight plant protection drone according to claim 1, it is characterised in that: institute
Stating ground control station includes intelligent decision processing system and AUTONOMOUS TASK planning processing system, the intelligent decision processing system point
It is not connected with acquisition drone body, meteorological acquisition controller and internet state of an illness acquisition server wireless communication, it is described autonomous
Work planning processing system and plant protection drone ontology wireless communication connect；The intelligent decision processing system is for receiving nobody
Multi-source information that machine acquisition system, meteorological acquisition system and internet state of an illness acquisition server are sent and the field for establishing operation plot
Between information bank, the intelligent decision processing system is used to carry out rasterizing to operation plot according to field information bank, described autonomous
Work planning processing system according to the geographical location information in the information union cooperation industry plot of rasterizing carry out routeing to
Operation air route information is formed, the AUTONOMOUS TASK planning processing system is for sending operation air route information to plant protection drone.
3. Multi-source Information Fusion intelligent decision autonomous flight plant protection drone according to claim 1, it is characterised in that: institute
It states EO-1 hyperion camera and is fixed on the bottom of acquisition drone body and for acquiring according to the control instruction of acquisition drone body
The crop growth conditions information and crop state of an illness information in operation plot, the airborne radar are fixed on the acquisition drone body
Bottom and for according to acquisition drone body control instruction Collecting operation plot plant height information and crop canopies
Information；The CCD camera is fixed on the bottom of acquisition drone body and for the control instruction according to acquisition drone body
The realtime graphic in Collecting operation plot simultaneously analyzes crop growing state information and the real-time state of an illness information of crop；The GPS system and Beidou
System is each attached to the top of acquisition drone body and for receiving satellite letter according to the control instruction of acquisition drone body
Number to construct the geographical location information in operation plot；The acquisition drone body is used for the control according to acquisition drone body
System instruction flight.
4. Multi-source Information Fusion intelligent decision autonomous flight plant protection drone according to claim 3, it is characterised in that: institute
Stating meteorological acquisition system includes temperature sensor and humidity sensor, and the temperature sensor and humidity sensor are adopted with meteorology
Collect controller electrical connection.
5. Multi-source Information Fusion intelligent decision autonomous flight plant protection drone according to claim 1, it is characterised in that: institute
Stating application system includes medicine-chest, Teat pipette, showerhead electrode and centrifugal energy nozzle, and the medicine-chest is connect with Teat pipette, the Teat pipette with it is described
Centrifugal energy nozzle connection, the centrifugal energy nozzle are electrically connected with the showerhead electrode.
6. Multi-source Information Fusion intelligent decision autonomous flight plant protection drone according to claim 1, it is characterised in that: also
Including supervisory systems, the supervisory systems includes supervision server, the supervision server and the plant protection drone ontology without
Line communication connection, the supervision server is for receiving and storing the information that plant protection drone ontology is remotely sent.
7. Multi-source Information Fusion intelligent decision autonomous flight plant protection drone according to claim 6, it is characterised in that: also
Including user terminal, the user terminal includes terminal and mobile terminal, and the user terminal by network for being looked into
Ask the information of the plant protection drone stored in supervision server.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108594856A (en) * | 2018-05-29 | 2018-09-28 | 农业部南京农业机械化研究所 | Multi-source Information Fusion intelligent decision autonomous flight plant protection drone and control method |
| CN110282135A (en) * | 2019-06-14 | 2019-09-27 | 江苏农林职业技术学院 | A kind of accurate spraying system of plant protection drone pesticide and spraying method |
| CN110834729A (en) * | 2019-11-06 | 2020-02-25 | 北京农业智能装备技术研究中心 | Unmanned aerial vehicle based on spectrum detection and spraying control method |
| CN111543413A (en) * | 2020-05-28 | 2020-08-18 | 中国农业大学 | Method and system for accurately applying pesticide by agricultural robot in air-ground cooperation |
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2018
- 2018-05-29 CN CN201820809162.3U patent/CN208271033U/en active Active
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108594856A (en) * | 2018-05-29 | 2018-09-28 | 农业部南京农业机械化研究所 | Multi-source Information Fusion intelligent decision autonomous flight plant protection drone and control method |
| CN108594856B (en) * | 2018-05-29 | 2024-08-06 | 农业部南京农业机械化研究所 | Multi-source information fusion intelligent decision-making autonomous flight plant protection unmanned aerial vehicle and control method |
| CN110282135A (en) * | 2019-06-14 | 2019-09-27 | 江苏农林职业技术学院 | A kind of accurate spraying system of plant protection drone pesticide and spraying method |
| CN110834729A (en) * | 2019-11-06 | 2020-02-25 | 北京农业智能装备技术研究中心 | Unmanned aerial vehicle based on spectrum detection and spraying control method |
| CN110834729B (en) * | 2019-11-06 | 2021-03-02 | 北京农业智能装备技术研究中心 | Unmanned aerial vehicle based on spectrum detection and spraying control method |
| CN111543413A (en) * | 2020-05-28 | 2020-08-18 | 中国农业大学 | Method and system for accurately applying pesticide by agricultural robot in air-ground cooperation |
| CN111543413B (en) * | 2020-05-28 | 2021-05-04 | 中国农业大学 | Method for accurately applying pesticide by agricultural robot in cooperation with air and ground |
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