CN210537962U - Irrigation system for specific plants in environment of Internet of things - Google Patents
Irrigation system for specific plants in environment of Internet of things Download PDFInfo
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- CN210537962U CN210537962U CN201921329292.8U CN201921329292U CN210537962U CN 210537962 U CN210537962 U CN 210537962U CN 201921329292 U CN201921329292 U CN 201921329292U CN 210537962 U CN210537962 U CN 210537962U
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- irrigation
- unmanned aerial
- aerial vehicle
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- irrigation unit
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- 230000002262 irrigation Effects 0.000 title claims abstract description 75
- 238000003973 irrigation Methods 0.000 title claims abstract description 75
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 35
- 238000005516 engineering process Methods 0.000 claims abstract description 11
- 230000006855 networking Effects 0.000 claims abstract description 4
- 238000010191 image analysis Methods 0.000 claims description 3
- 238000005507 spraying Methods 0.000 claims description 3
- 238000009434 installation Methods 0.000 claims description 2
- 239000002917 insecticide Substances 0.000 claims 1
- 241000196324 Embryophyta Species 0.000 description 22
- 238000000034 method Methods 0.000 description 6
- 239000002689 soil Substances 0.000 description 6
- 239000000575 pesticide Substances 0.000 description 3
- 230000008901 benefit Effects 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 208000003643 Callosities Diseases 0.000 description 1
- 206010020649 Hyperkeratosis Diseases 0.000 description 1
- 240000007594 Oryza sativa Species 0.000 description 1
- 235000007164 Oryza sativa Nutrition 0.000 description 1
- 240000008042 Zea mays Species 0.000 description 1
- 235000005824 Zea mays ssp. parviglumis Nutrition 0.000 description 1
- 235000002017 Zea mays subsp mays Nutrition 0.000 description 1
- 230000009471 action Effects 0.000 description 1
- 230000002411 adverse Effects 0.000 description 1
- 235000013339 cereals Nutrition 0.000 description 1
- 235000005822 corn Nutrition 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000002950 deficient Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 239000003337 fertilizer Substances 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000011065 in-situ storage Methods 0.000 description 1
- 235000015097 nutrients Nutrition 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 235000009566 rice Nutrition 0.000 description 1
- 238000012876 topography Methods 0.000 description 1
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A40/00—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production
- Y02A40/10—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production in agriculture
- Y02A40/22—Improving land use; Improving water use or availability; Controlling erosion
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- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The utility model provides an irrigation system to specific plant under thing networking environment, includes water supply system, irrigation system, data acquisition system and control system, irrigation system by a plurality of irrigation unit, every irrigation unit cover appointed field, water supply system connect one or more irrigation unit, irrigation unit include delivery pipe and irrigator, data acquisition system be unmanned aerial vehicle system, unmanned aerial vehicle system carry out video acquisition to the field, unmanned aerial vehicle system with the video data send of gathering to control system, control system open corresponding irrigation unit according to video data. Compared with the prior art, the system is mainly applied to large and ultra-large farmlands, directly judges the type and the state of the plants through the video identification technology, and then irrigates the plants needing watering.
Description
Technical Field
The utility model relates to an agricultural technology.
Background
With the improvement of domestic land cost and agricultural capital cost and the danger of international low-cost agricultural products, the development of fine agriculture in China is a great trend, and the existing irrigation modes mainly comprise manual irrigation and automatic irrigation. Most of the existing automatic irrigation systems take soil and air humidity as monitoring conditions, and not only drip irrigation is determined by the content of water and nutrients in the soil, but also the water consumption is indeed saved, and meanwhile, the utilization rate of fertilizers is improved, so that the irrigation system is a better water-saving mode. However, this method is suitable for small-scale or indoor water culture mode, and for large-scale fields, a large number of sensors and long-distance drip irrigation pipelines are needed, which directly causes cost increase, and the part of time-saving irrigation efficiency and irrigation cost are not as good as those of the original channel irrigation mode. Meanwhile, the water demand for different plants is different during cultivation, and the water demand for different plants still needs to be manually adjusted and set during rotation, so that the advantage of full-automatic irrigation cannot be embodied.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides an irrigation system for specific plants in the environment of the Internet of things, which is mainly applied to large and ultra-large farmlands, directly judges the types and the states of the plants through a video identification technology, and then irrigates only the plants needing watering. The water is saved to a great extent, the number of soil sensors is reduced through a video recognition technology, and the cost of a large-scale automatic farmland is saved.
In order to solve the technical problem, the invention is solved by the following technical scheme: the utility model provides an irrigation system to specific plant under thing networking environment, includes water supply system, irrigation system, data acquisition system and control system, irrigation system by a plurality of irrigation unit, every irrigation unit cover appointed field, water supply system connect one or more irrigation unit, irrigation unit include delivery pipe and irrigator, data acquisition system be unmanned aerial vehicle system, unmanned aerial vehicle system carry out video acquisition to the field, unmanned aerial vehicle system with the video data send of gathering to control system, control system open corresponding irrigation unit according to video data.
In the above technical solution, preferably, the irrigator includes a drip irrigation device and a large-flow water outlet device.
Among the above-mentioned technical scheme, preferred, unmanned aerial vehicle system including take off and land the platform, unmanned aerial vehicle automatic or controlled take off and land on the platform, take off and land the platform also can be in the field outside in the field.
Among the above-mentioned technical scheme, preferably, control system judge plant species and the state of lack of water in the video through image analysis technique, then start corresponding irrigation unit according to the location when unmanned aerial vehicle system shoots and irrigate.
In the above technical solution, preferably, the control system may directly irrigate any drip irrigation device and any large-flow water outlet device in the unit.
In the above technical solution, preferably, the system further comprises a drainage system, and an ion concentration sensor is arranged in the drainage system.
In the above technical scheme, preferably, the water supply system has a function of spraying pesticides.
The method has the core idea that the surface morphology of crops is monitored through videos, and whether irrigation is needed or not is judged. The existing accurate irrigation mainly detects soil directly through a sensor, and then judges whether watering is needed or not according to the soil moisture content and the number of ionic roots. The method and the device have the advantages that the variable-focus camera is utilized, the type of the plant, the surface moisture state of the plant and the positioning of the plant through the video can be easily identified through the video identification technology at the moment that the video identification technology is mature. Look the screen discernment through what unmanned aerial vehicle technique can be light, no matter how big farmland an unmanned aerial vehicle can accomplish all tasks, if will raise the efficiency can once go out to move many unmanned aerial vehicles and discern. Because the unmanned aerial vehicle collects videos from top to bottom, apparent data of various plants, particularly plants with proper height such as grains, rice, corns and the like can be accurately obtained. When the irrigation is carried out, the water-deficient plants can be directly irrigated according to the system, and the water is saved. The irrigation process is that video data are collected and fed back to the control system, and the control system makes different commands to the water supply system and the irrigation system according to the fed-back data.
Compared with the prior art, the system is mainly applied to large and ultra-large farmlands, directly judges the type and the state of the plants through the video identification technology, and then irrigates the plants needing watering. The water is saved to a great extent, the number of soil sensors is reduced through a video recognition technology, and the cost of a large-scale automatic farmland is saved.
Drawings
Fig. 1 is a schematic diagram of the system structure of the present invention.
Detailed Description
The present invention will be described in further detail below with reference to specific embodiments and the attached drawings.
As shown in fig. 1: the utility model provides an irrigation system to specific plant under thing networking environment, relates to an agricultural technology, including water supply system, irrigation system, data acquisition system, drainage system and control system, irrigation system by a plurality of irrigation unit, every irrigation unit cover appointed field, water supply system connect one or more irrigation unit, irrigation unit include delivery pipe and irrigator, the irrigator including drip irrigation device and large-traffic play water installation. The data acquisition system be unmanned aerial vehicle system, unmanned aerial vehicle system including the platform of taking off and land, automatic or controlled taking off and land on the platform of taking off and land of unmanned aerial vehicle, the platform of taking off and land also can be in the field outside. The unmanned aerial vehicle system carry out video acquisition to the field, the unmanned aerial vehicle system with the video data send that gather to control system, control system open corresponding irrigation unit according to video data. The control system judges the plant type and the water shortage state in the video through an image analysis technology, and then starts a corresponding irrigation unit to irrigate according to the positioning of the unmanned aerial vehicle system during shooting. The control system can directly irrigate any drip irrigation device and large-flow water outlet device in the unit. And an ion concentration sensor is arranged in the drainage system. The water supply system has the function of spraying pesticides.
The system is suitable for large-scale farmlands and paddy fields and dry farmlands. The irrigation system of the system consists of a plurality of irrigation units, the irrigation units are formed according to terrain, each irrigation unit comprises a drip irrigation device and a large-flow water outlet device, the large-flow water outlet device can be called an irrigation canal, an irrigation channel or an irrigation river, and the number and scale of the drip irrigation devices are determined by the variety of plants, the actual water resource degree and the terrain. The pipes of the drip irrigation device can be added or removed at any time. The water supply system and the irrigation system of the system can also be combined with a pesticide system, and the two systems can share the same pipe or double pipes. The core of this system is data acquisition system, data acquisition system mainly gathers by unmanned aerial vehicle system, unmanned aerial vehicle system can move wantonly in other periods under in order to go out adverse circumstances, because current unmanned aerial vehicle system has the function of hovering, any apparent information on every plant surface of collection that can be very accurate, do not receive the topography restriction through unmanned aerial vehicle system, an unmanned aerial vehicle can listen whole farmland, the cost of control is very cheap. Simultaneously because unmanned aerial vehicle system power consumption is low, unmanned aerial vehicle can directly charge through the solar energy system who sets up on the platform of taking off and land if necessary. When the unmanned aerial vehicle system operates, data needs to be transmitted to the control system in real time, namely the unmanned aerial vehicle system and the control system need to be transmitted wirelessly, and generally, the unmanned aerial vehicle system and the control system can be operated in a 4G, wifi network environment. The control system can be independently connected with the outside of the farmland or in the farmland, and is connected with the water supply system, the irrigation system and the drainage system through pipelines in an auxiliary mode through wireless connection, so that the instantaneity of information can be guaranteed, and accidents are reduced. Because the unmanned aerial vehicle can rotate horizontally, swing vertically, hover in situ and detect very wide scope, the precision to short plant monitoring is very high, and control system can fertilize and irrigate according to the corresponding irrigation system of video information real-time control, if necessary this kind of action can carry out individual plant operation under unmanned aerial vehicle's support. Generally to ensure efficiency is a sheeting operation.
Claims (5)
1. The utility model provides an irrigation system to specific plant under thing networking environment, includes water supply system, irrigation system, data acquisition system and control system, characterized in that, irrigation system by a plurality of irrigation unit, every irrigation unit cover appointed field, water supply system connect one or more irrigation unit, irrigation unit include delivery pipe and irrigator, data acquisition system be unmanned aerial vehicle system, unmanned aerial vehicle system carry out video acquisition to the field, unmanned aerial vehicle system with the video data send that gathers to control system, control system open corresponding irrigation unit according to video data, control system can directly irrigate arbitrary drip irrigation equipment and large-traffic play water installation in the unit, water supply system have the function of spraying insecticide.
2. The system for irrigating specific plants in the environment of internet of things according to claim 1, wherein the irrigator comprises a drip irrigation device and a high-flow water outlet device.
3. The system of claim 1, wherein the drone system includes a landing platform on which the drone can be automatically or controllably landed, and the landing platform can be located within the field or outside the field.
4. The irrigation system for the specific plants in the environment of the internet of things according to claim 2, wherein the control system judges the plant type and the water shortage state in the video through an image analysis technology, and then starts the corresponding irrigation unit to irrigate according to the positioning of the unmanned aerial vehicle system during shooting.
5. The irrigation system for the specific plants in the environment of the internet of things according to claim 1, further comprising a drainage system, wherein an ion concentration sensor is arranged in the drainage system.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201921329292.8U CN210537962U (en) | 2019-08-15 | 2019-08-15 | Irrigation system for specific plants in environment of Internet of things |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201921329292.8U CN210537962U (en) | 2019-08-15 | 2019-08-15 | Irrigation system for specific plants in environment of Internet of things |
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| Publication Number | Publication Date |
|---|---|
| CN210537962U true CN210537962U (en) | 2020-05-19 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201921329292.8U Expired - Fee Related CN210537962U (en) | 2019-08-15 | 2019-08-15 | Irrigation system for specific plants in environment of Internet of things |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112205285A (en) * | 2020-10-19 | 2021-01-12 | 安徽天润建筑工程集团有限公司 | Low-cost high-quality garden maintenance management method |
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2019
- 2019-08-15 CN CN201921329292.8U patent/CN210537962U/en not_active Expired - Fee Related
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112205285A (en) * | 2020-10-19 | 2021-01-12 | 安徽天润建筑工程集团有限公司 | Low-cost high-quality garden maintenance management method |
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| GR01 | Patent grant | ||
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| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20200519 |