CN204859395U - Agriculture operation unmanned aerial vehicle of large tracts of land - Google Patents
Agriculture operation unmanned aerial vehicle of large tracts of land Download PDFInfo
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- CN204859395U CN204859395U CN201520490857.6U CN201520490857U CN204859395U CN 204859395 U CN204859395 U CN 204859395U CN 201520490857 U CN201520490857 U CN 201520490857U CN 204859395 U CN204859395 U CN 204859395U
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Abstract
The utility model relates to an agriculture operation unmanned aerial vehicle of large tracts of land, this unmanned aerial vehicle include stationary vane unmanned aerial vehicle platform to and assemble sprinkling system, navigation, pesticide on stationary vane unmanned aerial vehicle platform and spray management system, ground farming crop information collection system, ground farming crop information collection system includes a plurality of sensors and carries out the processing controls ware handled to the signal of gathering, still includes image gathering module, the pesticide sprays management system and includes the operating condition who carries out the detecting element and the processing unit that detect, this processing unit control sprinkling system to the flow of the liquid medicine that the sprinkling system sprays and speed, signal transmission after the processing controls ware will be dealt with separately with processing unit gives a control center, control center contrasts received signal and prior predetermined signal to result according to after the contrast feeds back to the operating condition that processing unit adjusted the sprinkling system again. The utility model discloses can adjust the sprinkling system according to agricultural crop growth environment and plant diseases and insect pests state and spray spray volume to make crops reach the suitable medicine requirement of spouting.
Description
Technical field
The utility model relates to agricultural plant protection technical field, is specifically related to a kind of large area agricultural operation unmanned plane used in agricultural plant protection.
Background technology
Plant protection unmanned plane; as the term suggests be the drone for agriculture and forestry plant protection operation; this type unmanned aerial vehicle has flying platform (fixed-wing, single rotor, many rotors), spraying mechanism to form; pass through ground remote control; realize spraying operation, can spraying agent, seed, pulvis etc.It has simple to operate, efficiency is high, the advantage that spray effect is good, is widely used in agricultural plant protection field; But existing unmanned plane many employings manual remote control realizes, and can not monitor the relevant information of crops, can not spray liquid medicine according to the state of crops, thus can not meet higher sprinkling requirement.
Utility model content
For above-mentioned technical problem, the purpose of this utility model is to provide a kind of large area agricultural operation unmanned plane that can adjust spray liquid amount according to crop growth environment and disease and pest state.
Realize the technical solution of the utility model as follows:
Large area agricultural operation unmanned plane, this unmanned plane comprises fixed-wing unmanned aerial vehicle platform, and is assemblied in sprinkling system, navigation system, pesticide spraying management system, the ground crop information acquisition system on fixed-wing unmanned aerial vehicle platform,
Described ground crop information acquisition system comprises the soil humidity sensor detected surface humidity, to the optical sensor that situation in solar radiation to crops detects, and to the temperature sensor that crops surface temperature detects, with the processing controller of row relax of going forward side by side for the signal receiving above-mentioned soil humidity sensor, optical sensor, temperature sensor gather, ground crop information acquisition system also comprises the image capture module for gathering diseases and pests of agronomic crop image information;
Described pesticide spraying management system comprises the detecting unit detected flow and the speed of sprinkling system institute spray liquid, and for receiving the processing unit of signal detected by detecting unit, this processing unit controls the operating state of described sprinkling system;
Above-mentioned processing controller and processing unit by the Signal transmissions after processing separately to a control centre, the signal received and the signal preset in advance contrast by described control centre, and feed back to according to the result after contrast the operating state that processing unit adjusts sprinkling system again.
Have employed technique scheme, fixed-wing unmanned aerial vehicle platform is in order to carry flight system and sprinkling system, navigation system, pesticide spraying management system, ground crop information acquisition system, spraying insecticide in process to crops, soil humidity sensor in the crop information acquisition system of ground, optical sensor, temperature sensor, the growing environment of image capture module to crops is monitored, and control centre is transferred to after processing controller conversion process, control centre then contrasts according to the value preset, and the result of contrast is transformed and is transferred to the processing unit controlled in pesticide spraying management system, flow and the speed of sprinkling system institute spray liquid is adjusted in real time by processing unit, to reach the requirement adjusting spray liquid amount according to the growth conditions of different crops, appropriate liquid can be sprayed like this, liquid is better acted in the growing environment of crops, wherein, the detecting unit in pesticide spraying management system can detect the fountain height of sprinkling system and speed, and adjusts according to different needs, with satisfied sprinkling requirement.The utility model can adjust sprinkling system spray liquid amount according to crop growth environment and disease and pest state, with the spray medicine requirement making crops reach suitable.
Further, in order to the flight making unmanned plane be in certain altitude, ensure the effect of spraying; The distance measuring sensor of the spacing for detecting unmanned plane and crops is also comprised in the crop information acquisition system of described ground, described distance measuring sensor detects that distance signal is transferred to control centre by the process of processing controller, and the distance signal received and predetermined value compare and adjust the flying height of unmanned plane according to comparative result by control centre.
Further, in order to realize the accurate navigation of unmanned plane, described navigation system comprises and is laid in by several base net that ground ZigBee-network data module of crops forms, and is arranged on unmanned plane for forming the ZigBee-network modular terminal of navigational communications with ZigBee-network data module on ground; Described navigation system is formed with control centre and communicates.
Further, in order to store the reference and analysis of being convenient to the later stage to the information of unmanned plane, described unmanned plane also comprises the information storage module stored the information of navigation system, pesticide spraying management system, ground crop information acquisition system.
Accompanying drawing explanation
Fig. 1 is theory diagram of the present utility model;
In accompanying drawing, 1 is sprinkling system, and 2 is navigation system, 3 is pesticide spraying management system, and 4 is ground crop information acquisition system, and 5 is soil humidity sensor, 6 is optical sensor, and 7 is temperature sensor, and 8 is processing controller, 9 is image capture module, and 10 is control centre, and 11 is information storage module, 12 is detecting unit, and 13 is processing unit, and 14 is distance measuring sensor, 15 is ZigBee-network data module, and 16 is ZigBee-network modular terminal.
Embodiment
For making the object of the utility model embodiment, technical scheme and advantage clearly, below in conjunction with the accompanying drawing of the utility model embodiment, the technical scheme of the utility model embodiment is clearly and completely described.Obviously, described embodiment is a part of embodiment of the present utility model, instead of whole embodiments.Based on described embodiment of the present utility model, the every other embodiment that those of ordinary skill in the art obtain under without the need to the prerequisite of creative work, all belongs to the scope of the utility model protection.
See Fig. 1, large area agricultural operation unmanned plane, this unmanned plane comprises fixed-wing unmanned aerial vehicle platform, and is assemblied in sprinkling system 1, navigation system 2, pesticide spraying management system 3, the ground crop information acquisition system 4 on fixed-wing unmanned aerial vehicle platform;
Wherein, ground crop information acquisition system comprises the soil humidity sensor 5 detected surface humidity, to the optical sensor 6 that situation in solar radiation to crops detects, and to the temperature sensor 7 that crops surface temperature detects, with the processing controller 8 of row relax of going forward side by side for the signal receiving above-mentioned soil humidity sensor, optical sensor, temperature sensor gather, ground crop information acquisition system also comprises the image capture module 9 for gathering diseases and pests of agronomic crop image information; The disease and pest situation of image capture module to crops is taken pictures monitoring, and information transmission is transferred to information storage module 11 by control centre 10 stores, so that operator understands diseases and pests of agronomic crop state, controls to control centre.
Wherein, pesticide spraying management system 3 comprises the detecting unit 12 detected flow and the speed of sprinkling system institute spray liquid, and for receiving the processing unit 13 of signal detected by detecting unit, this processing unit controls the operating state of described sprinkling system; Flow in sprinkling system and speed be detected as existing detection technique, flow sensor can be adopted realize.Processing unit converts the signal of the detection of detecting unit to digital signal to send control centre to.
Processing controller 8 and processing unit 13 by the Signal transmissions after processing separately to control centre 10, the signal received and the signal value preset in advance contrast by control centre, and feed back to according to the result after contrast the operating state that processing unit 13 adjusts sprinkling system again, the adjustment of operating state here, flow and the speed of spray liquid in adjustment sprinkling system, to adapt to the spray medicine requirement of different crops growing environment.
In concrete enforcement, the distance measuring sensor 14 of the spacing for detecting unmanned plane and crops is also comprised in the crop information acquisition system of ground, distance measuring sensor detects that distance signal is transferred to control centre 10 by the process of processing controller 8, the distance signal received and predetermined value compare and adjust the flying height of unmanned plane according to comparative result by control centre, make unmanned plane can remain on flight in certain altitude like this, to ensure the effect of spraying always.
Navigation system 2 comprises and is laid in by several base net that ground ZigBee-network data module 15 of crops forms, base net can cover the crops ground needing spray liquid, and is arranged on unmanned plane for forming the ZigBee-network modular terminal 16 of navigational communications with ZigBee-network data module on ground; Navigation system is formed with control centre 10 and communicates.Control centre can control flying height and the flying speed of unmanned plane and turn to, and by the setting of navigation system, effectively can ensure the accurate navigation of unmanned plane.Adopt ZigBee communication technology, achieve the target of low cost, low-power consumption, MANET;
Unmanned plane also comprises the information storage module 11 stored the information of navigation system, pesticide spraying management system, ground crop information acquisition system.
Information acquisition system is distributed in farmland woodland, requires to have affordable, frequently need not change battery, arbitrarily dispose, autonomous network construction characteristic.The ZigBee technology that native system adopts, achieves the target of low cost, low-power consumption, MANET, and adopts solar powered gateway node to be equipped with locating module, and ZigBee-network is arranged net and autonomous good positioning effect.The data that gateway node is collected are through data fusion, the mode being leapt collection by wireless channel or unmanned aerial vehicle sends to user, the information such as farm-forestry crop, soil, disease and pest are provided in time to user, crops Precision management database is formed in conjunction with GIS map, reference data information is provided for user carries out pesticide spraying, to realize setting different pesticide spraying amount according to different plot, improve profitability and the Environmental Sustainability of agricultural.
Weak or lack the mountain area of movable signal for mobile network signals, native system utilizes unmanned plane to leap ZigBee-network overhead to carry out information.For there is no movement, telecommunications, the forest zone of these networks of UNICOM or agriculture district, using sensor technology, Data fusion technique and unmanned plane can the various crop data of quick collection, helping peasant to improve soil quality, eliminating destructive insects and disease.Relative to Traditional Man inspection mode, unmanned plane can accomplish crop monitoring faster, one frame unmanned plane can less than five minutes inner analysis, 10 mu of soils, such work needs people's a couple of days or several weeks just can complete originally, and prediction successfully can solve precision agriculture information gathering and the collection problem that mountain area or some other movable signal cover bad region.
Claims (4)
1. large area agricultural operation unmanned plane, is characterized in that, this unmanned plane comprises fixed-wing unmanned aerial vehicle platform, and is assemblied in sprinkling system, navigation system, pesticide spraying management system, the ground crop information acquisition system on fixed-wing unmanned aerial vehicle platform,
Described ground crop information acquisition system comprises the soil humidity sensor detected surface humidity, to the optical sensor that situation in solar radiation to crops detects, and to the temperature sensor that crops surface temperature detects, with the processing controller of row relax of going forward side by side for the signal receiving above-mentioned soil humidity sensor, optical sensor, temperature sensor gather, ground crop information acquisition system also comprises the image capture module for gathering diseases and pests of agronomic crop image information;
Described pesticide spraying management system comprises the detecting unit detected flow and the speed of sprinkling system institute spray liquid, and for receiving the processing unit of signal detected by detecting unit, this processing unit controls the operating state of described sprinkling system;
Above-mentioned processing controller and processing unit by the Signal transmissions after processing separately to a control centre, the signal received and the signal preset in advance contrast by described control centre, and feed back to according to the result after contrast the operating state that processing unit adjusts sprinkling system again.
2. large area agricultural operation unmanned plane according to claim 1, it is characterized in that, the distance measuring sensor of the spacing for detecting unmanned plane and crops is also comprised in the crop information acquisition system of described ground, described distance measuring sensor detects that distance signal is transferred to control centre by the process of processing controller, and the distance signal received and predetermined value compare and adjust the flying height of unmanned plane according to comparative result by control centre.
3. large area agricultural operation unmanned plane according to claim 1, it is characterized in that, described navigation system comprises and is laid in by several base net that ground ZigBee-network data module of crops forms, and is arranged on unmanned plane for forming the ZigBee-network modular terminal of navigational communications with ZigBee-network data module on ground; Described navigation system is formed with control centre and communicates.
4. large area agricultural operation unmanned plane according to claim 1, is characterized in that, described unmanned plane also comprises the information storage module stored the information of navigation system, pesticide spraying management system, ground crop information acquisition system.
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Cited By (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105025262A (en) * | 2015-07-08 | 2015-11-04 | 常州华奥航空科技有限公司 | Large-area agricultural work unmanned plane |
| CN105850957A (en) * | 2016-04-27 | 2016-08-17 | 深圳市双赢伟业科技股份有限公司 | Pesticide applying method and system adopting agricultural interconnection |
| CN105947216A (en) * | 2016-04-27 | 2016-09-21 | 北京农业智能装备技术研究中心 | Unmanned aerial vehicle spraying control system and method based on flow dynamic prediction |
| CN105984588A (en) * | 2016-06-15 | 2016-10-05 | 武同昆 | Novel variable mist spraying system based on unmanned rotorcraft |
| CN106428564A (en) * | 2016-09-18 | 2017-02-22 | 成都天麒科技有限公司 | Unmanned aerial vehicle sprinkling method and system based on growth cycles of crops |
| CN106516114A (en) * | 2016-12-13 | 2017-03-22 | 广东合即得能源科技有限公司 | Fixed-wing unmanned aerial vehicle used for insecticide spraying and method for insecticide spraying |
| CN106697291A (en) * | 2016-12-22 | 2017-05-24 | 深圳万智联合科技有限公司 | Intelligent unmanned plane pesticide spraying device |
| CN106714554A (en) * | 2016-04-29 | 2017-05-24 | 深圳市大疆创新科技有限公司 | Spraying control method of drone and drone |
| CN106814745A (en) * | 2017-03-22 | 2017-06-09 | 常熟理工学院 | UAV Intelligent medicine supplies spray method and system |
| CN108090893A (en) * | 2017-11-23 | 2018-05-29 | 华南农业大学 | Plant protection unmanned plane medicament sprinkling optimization method and device based on thermal infrared identification |
| CN109353515A (en) * | 2018-11-21 | 2019-02-19 | 华南农业大学 | A kind of plant protection drone liquid level emasuring device |
| CN109561672A (en) * | 2016-06-30 | 2019-04-02 | 株式会社OPTiM | Moving body controls application program and movable body control method |
| CN109874643A (en) * | 2019-03-13 | 2019-06-14 | 安徽鼎博新能源科技发展有限公司 | A kind of photovoltaic power generation intelligent agricultural system and its irrigation method |
| CN110692296A (en) * | 2019-11-15 | 2020-01-17 | 王凤 | Agricultural unmanned aerial vehicle path control mode |
| CN111264504A (en) * | 2020-03-20 | 2020-06-12 | 河北信翔电子有限公司 | Intelligent spraying control method and system for cloud strategy pesticide spraying machine |
| CN113895629A (en) * | 2021-11-08 | 2022-01-07 | 广东省农业科学院蔬菜研究所 | Vegetable growth monitoring and pesticide spraying system based on unmanned aerial vehicle |
| CN114136965A (en) * | 2021-11-23 | 2022-03-04 | 葛凌云 | Agricultural thing networking application service monitoring platform |
| CN113895629B (en) * | 2021-11-08 | 2024-04-26 | 广东省农业科学院蔬菜研究所 | Vegetable growth monitoring and pesticide spraying system based on unmanned aerial vehicle |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105025262A (en) * | 2015-07-08 | 2015-11-04 | 常州华奥航空科技有限公司 | Large-area agricultural work unmanned plane |
| CN105850957A (en) * | 2016-04-27 | 2016-08-17 | 深圳市双赢伟业科技股份有限公司 | Pesticide applying method and system adopting agricultural interconnection |
| CN105947216A (en) * | 2016-04-27 | 2016-09-21 | 北京农业智能装备技术研究中心 | Unmanned aerial vehicle spraying control system and method based on flow dynamic prediction |
| CN105947216B (en) * | 2016-04-27 | 2018-05-18 | 北京农业智能装备技术研究中心 | Unmanned plane spray control system and method based on flow dynamics prediction |
| CN106714554A (en) * | 2016-04-29 | 2017-05-24 | 深圳市大疆创新科技有限公司 | Spraying control method of drone and drone |
| CN106714554B (en) * | 2016-04-29 | 2019-04-09 | 深圳市大疆创新科技有限公司 | The sprinkling control method and unmanned plane of unmanned plane |
| WO2017185359A1 (en) * | 2016-04-29 | 2017-11-02 | 深圳市大疆创新科技有限公司 | Spraying control method of unmanned aerial vehicle and unmanned aerial vehicle |
| CN105984588A (en) * | 2016-06-15 | 2016-10-05 | 武同昆 | Novel variable mist spraying system based on unmanned rotorcraft |
| CN109561672B (en) * | 2016-06-30 | 2021-12-10 | 株式会社OPTiM | Mobile body control system and mobile body control method |
| CN109561672A (en) * | 2016-06-30 | 2019-04-02 | 株式会社OPTiM | Moving body controls application program and movable body control method |
| CN106428564A (en) * | 2016-09-18 | 2017-02-22 | 成都天麒科技有限公司 | Unmanned aerial vehicle sprinkling method and system based on growth cycles of crops |
| CN106516114A (en) * | 2016-12-13 | 2017-03-22 | 广东合即得能源科技有限公司 | Fixed-wing unmanned aerial vehicle used for insecticide spraying and method for insecticide spraying |
| CN106697291A (en) * | 2016-12-22 | 2017-05-24 | 深圳万智联合科技有限公司 | Intelligent unmanned plane pesticide spraying device |
| CN106814745A (en) * | 2017-03-22 | 2017-06-09 | 常熟理工学院 | UAV Intelligent medicine supplies spray method and system |
| CN108090893B (en) * | 2017-11-23 | 2021-10-15 | 华南农业大学 | Thermal infrared identification-based method and device for optimizing pesticide spraying of plant protection unmanned aerial vehicle |
| CN108090893A (en) * | 2017-11-23 | 2018-05-29 | 华南农业大学 | Plant protection unmanned plane medicament sprinkling optimization method and device based on thermal infrared identification |
| CN109353515A (en) * | 2018-11-21 | 2019-02-19 | 华南农业大学 | A kind of plant protection drone liquid level emasuring device |
| CN109353515B (en) * | 2018-11-21 | 2023-10-20 | 华南农业大学 | Plant protection unmanned aerial vehicle liquid level measurement device |
| CN109874643A (en) * | 2019-03-13 | 2019-06-14 | 安徽鼎博新能源科技发展有限公司 | A kind of photovoltaic power generation intelligent agricultural system and its irrigation method |
| CN110692296A (en) * | 2019-11-15 | 2020-01-17 | 王凤 | Agricultural unmanned aerial vehicle path control mode |
| CN111264504A (en) * | 2020-03-20 | 2020-06-12 | 河北信翔电子有限公司 | Intelligent spraying control method and system for cloud strategy pesticide spraying machine |
| CN113895629A (en) * | 2021-11-08 | 2022-01-07 | 广东省农业科学院蔬菜研究所 | Vegetable growth monitoring and pesticide spraying system based on unmanned aerial vehicle |
| CN113895629B (en) * | 2021-11-08 | 2024-04-26 | 广东省农业科学院蔬菜研究所 | Vegetable growth monitoring and pesticide spraying system based on unmanned aerial vehicle |
| CN114136965A (en) * | 2021-11-23 | 2022-03-04 | 葛凌云 | Agricultural thing networking application service monitoring platform |
| CN114136965B (en) * | 2021-11-23 | 2023-11-24 | 昆明埃舍尔科技有限公司 | Agricultural Internet of things application service monitoring platform |
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