CN213306689U - Intelligent irrigation system based on remote sensing data and plant image data - Google Patents
Intelligent irrigation system based on remote sensing data and plant image data Download PDFInfo
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- CN213306689U CN213306689U CN202021904243.5U CN202021904243U CN213306689U CN 213306689 U CN213306689 U CN 213306689U CN 202021904243 U CN202021904243 U CN 202021904243U CN 213306689 U CN213306689 U CN 213306689U
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Abstract
The utility model discloses an intelligent irrigation system based on remote sensing data and plant image data, which comprises a soil moisture content detector, a video collector, a multi-source meteorological detector, a water supply irrigation unit, an irrigation controller, an drought monitoring early warning device and an drought index determinator; the drought index determinator is respectively connected with the soil moisture content detector, the video collector, the multi-source meteorological detector, the drought monitoring early-warning device and the upper computer; the upper computer is connected with an irrigation controller through a network to control the water supply irrigation unit. Data collected through the multi-source meteorological detector provide theoretical basis for irrigation decision-making, and can real-timely acquire data through the host computer, irrigate through remote control, also make when the water economy resource irrigate more intelligent.
Description
Technical Field
The utility model relates to a technical field is irrigated to intelligence, concretely relates to intelligence irrigation system based on remote sensing data and plant image data.
Background
China is a country with serious water shortage, the average water resource amount per capita is only one fourth of the average level of the world, and how to effectively utilize water resources in agriculture is a long-standing problem of China as a big agricultural country, and the design of irrigation schemes of crops leads to more and more extensive thinking.
The traditional irrigation mode is generally based on weather forecast of a weather station, irrigation is judged by years of experience of crop planting, the irrigation mode is mainly used for individual households, the irrigation quantity is not provided with an explicit standard, the irrigation quantity is completely based on personal experience, rigorous basis is lacked, the yield of crops cannot be well controlled, and water resource waste is easily caused. General intelligent irrigation can design specific irrigation scheme according to the drought condition of local area, gives consideration to the relevant data of soil and weather. However, due to complex causes and influences of drought, the drought index as a numerical value cannot be directly connected with the growth condition and the income of crops, and the unified drought index standard is not necessarily applicable to all kinds of crops.
With the expansion of crop planting requirements and the continuous rise of labor cost, the general intelligent irrigation can not meet the requirements of the current information era on crop planting. For example: different crops have different water requirements, and the uniform drought index is not enough to be used as an index of irrigation schemes of different crops; besides the relevant data of soil and weather, the growth condition and growth environment of crops are also one of the aspects to be considered in the irrigation scheme; for different areas and different crops, how to search scientific indexes provides theoretical basis for irrigation becomes a problem to be solved urgently in intelligent irrigation.
SUMMERY OF THE UTILITY MODEL
To the defect among the prior art, the utility model provides an intelligence irrigation system based on remote sensing data and plant image data provides the foundation for the irrigation volume through arid index determinator, can realize the real time monitoring of remote terminal to crops through video collector to carry out intelligence irrigation through the host computer.
An intelligent irrigation system based on remote sensing data and plant image data comprises a soil moisture content detector, a video collector, a multi-source meteorological detector, a water supply irrigation unit, an irrigation controller, a drought monitoring early warning device and a drought index determinator; the drought index determinator is respectively connected with the soil moisture content detector, the video collector, the multi-source meteorological detector, the drought monitoring early-warning device and the upper computer; the upper computer is connected with an irrigation controller through a network to control the water supply irrigation unit.
Preferably, the multi-source meteorological detector comprises a temperature sensor, a humidity sensor, a wind speed sensor, a wind direction sensor, a rainfall sensor, a carbon dioxide sensor, a noise sensor, an illumination sensor and an information transceiver; the temperature sensor, the humidity sensor, the wind speed sensor, the wind direction sensor, the rainfall sensor, the carbon dioxide sensor, the noise sensor and the illumination sensor are respectively connected with the information transceiver and used for receiving and sending information acquired by the sensors.
Further, the information transceiver is connected with the drought index determinator and used for sending the received information acquired by each sensor to the drought index determinator.
Preferably, the drought index determinator is respectively connected with the soil moisture content detector and the video collector; the soil moisture content detector is used for detecting a soil moisture content value; and the video collector is used for collecting videos in real time.
Preferably, the water supply irrigation unit comprises a water pump, a master electromagnetic valve and a master electromagnetic valve group; the water outlet end of the water pump is connected with the electromagnetic main valve; and the electromagnetic main valve is used for controlling the on-off of the electromagnetic valve group.
Furthermore, the irrigation controller is respectively connected with the water pump, the electromagnetic main valve and the electromagnetic valve group and is used for controlling the on-off of the water pump, the electromagnetic main valve and the electromagnetic valve group.
Preferably, the drought monitoring early warning device comprises: an alarm and a display;
the display is used for displaying the information, the soil moisture content value and the collected video which are received by the drought index determinator and acquired by the sensors;
and when the information acquired by each sensor and the soil moisture content value received by the drought index determinator are not in a preset range, the alarm gives an alarm.
Preferably, the upper computer is connected with the drought index determinator through a network and is used for displaying the information, the soil moisture content value and the collected video acquired by each sensor and received by the drought index determinator.
Further, the host computer includes: the system comprises a handheld mobile terminal, a mobile terminal and a PC terminal.
The beneficial effects of the utility model are embodied in:
1. the utility model discloses an increase temperature sensor that multisource meteorological detection machine includes, humidity transducer, air velocity transducer, wind direction sensor, rainfall sensor, carbon dioxide sensor, noise sensor and light intensity sensor correspond temperature information, humidity information, wind speed information, wind direction information, rainfall information, carbon dioxide concentration information, noise value information and illumination intensity information on every side of detecting crops respectively, can be very accurate acquire the growth environment information of crops, provide the biggest foundation for reasonable irrigation, also can play effectual drought control effect simultaneously.
2. The utility model discloses an increase soil moisture content detector and video collector, through soil moisture content detector can effectual judgement soil moisture content, reduce unnecessary and irrigate, can effectively save water resource, avoid the excessive irrigation, be favorable to crops to grow promptly, also avoided the expense that unreasonable irrigation produced.
The video collector can watch the growth condition of crops in real time, collected images can be recorded and stored, the growth condition of the crops can be better observed, and the growth condition of the crops can be intuitively observed even if the crops do not arrive at the scene.
3. The utility model discloses an increase arid monitoring precaution device, can be more audio-visual observe environmental information and soil moisture content around the crops on the display, be furnished with the alarm simultaneously, under the untimely condition of observation, also can realize the purpose of in time irrigating through the warning of alarm.
4. The utility model discloses an increase the irrigation control ware of networking, realized through the host computer, the purpose that the distal end was irrigated often is that irrigate simple intellectuality more.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the technical solutions in the prior art will be briefly described below. Throughout the drawings, like elements or portions are generally identified by like reference numerals. In the drawings, elements or portions are not necessarily drawn to scale.
Fig. 1 is a schematic diagram of the system connection of the present invention.
In the attached drawings, 1, an drought index determinator, 2, an drought monitoring early warning device, 3, an upper computer, 4, an irrigation controller, 5, a solar power supply, 6, a temperature sensor, 7, a humidity sensor, 8, a wind speed sensor, 9, a wind direction sensor, 10, a rainfall sensor, 11, a carbon dioxide sensor, 12, a noise sensor, 13, a light sensor, 14, an information transceiver, 15, an alarm, 16, a display, 17, a water pump, 18, a general electromagnetic valve, 19, a first electromagnetic valve group, 20, a second electromagnetic valve group, 21, a third electromagnetic valve group, 22, a fourth electromagnetic valve group, 23, a first soil moisture content detector, 24, a second soil moisture content detector, 25, a third soil moisture content detector, 26, a fourth soil moisture content detector, 27, a first video collector, 28, a second video collector, 29 and a third video collector, 30. and a fourth video collector.
Detailed Description
Embodiments of the present invention will be described in detail below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and therefore are only examples, and the protection scope of the present invention is not limited thereby.
It is to be noted that unless otherwise specified, technical or scientific terms used herein shall have the ordinary meaning as understood by those skilled in the art to which the present invention belongs.
Example (b):
the embodiment provides an intelligent irrigation system based on remote sensing data and plant image data, detects the growing environment of crops through drought index determinator, provides the basis for the irrigation volume, can realize the real-time supervision of remote end to crops through video collector to carry out intelligent irrigation through the host computer.
The concrete structure is as follows:
because the difference of required irrigation soil area, in concrete implementation, can carry out the region division with the great soil of area, each subregion is furnished with corresponding detection soil moisture content detector, frequently collector and electromagnetism valves. This example takes four zones requiring irrigation as an example:
an intelligent irrigation system based on remote sensing data and plant image data comprises a first soil moisture content detector 23, a second soil moisture content detector 24, a third soil moisture content detector 25, a fourth soil moisture content detector 26, a first video collector 27, a second video collector 28, a third video collector 29, a fourth video collector 30, a multi-source weather detector, a water supply irrigation unit, an irrigation controller 4, a drought monitoring early-warning device 2 and a drought index determinator 1; the drought index determinator 1 is respectively connected with the first soil moisture content detector 23, the second soil moisture content detector 24, the third soil moisture content detector 25, the fourth soil moisture content detector 26, the first video collector 27, the second video collector 28, the third video collector 29, the fourth video collector 30, the multi-source weather detector, the drought monitoring early-warning device 2 and the upper computer 3; the upper computer 3 is connected with an irrigation controller 4 through a network to control the water supply irrigation unit.
The first soil moisture content detector 23 and the first video collector 27 are used for detecting the soil moisture content value of the first partition and collecting a crop growth image;
a second soil moisture content detector 24 and a second video collector 28 for detecting soil moisture content values of the second partition and collecting crop growth images;
a third soil moisture content detector 25 and a third video collector 29 for detecting the soil moisture content value of the third partition and collecting the crop growth image;
a fourth soil moisture content detector 26 and a fourth video collector 30 for detecting the soil moisture content value of the fourth partition and collecting the crop growth image, and displaying the detected soil moisture content value of the corresponding partition and the collected crop growth image on the display 16. The first video collector 27, the second video collector 28, the third video collector 29 and the fourth video collector 30 can store collected images, so that the appearance of each stage of crops can be conveniently reviewed and known.
The multi-source meteorological detector comprises a temperature sensor 6, a humidity sensor 7, a wind speed sensor 8, a wind direction sensor 9, a rainfall sensor 10, a carbon dioxide sensor 11, a noise sensor 12, an illumination sensor 13 and an information transceiver 14; the temperature sensor 6, the humidity sensor 7, the wind speed sensor 8, the wind direction sensor 9, the rainfall sensor 10, the carbon dioxide sensor 11, the noise sensor 12 and the illumination sensor 13 are respectively connected with the information transceiver 14, the information transceiver 14 transmits temperature information, humidity information, wind speed information, wind direction information, rainfall information, carbon dioxide concentration information, noise value information and illumination intensity information detected by the sensors to the drought index determinator 1, and meanwhile, information detected by the sensors can be displayed on the display 16.
The water supply irrigation unit comprises a water pump 17, a master electromagnetic valve 18, a first electromagnetic valve group 19, a second electromagnetic valve group 20, a third electromagnetic valve group 21 and a fourth electromagnetic valve group 22; the water outlet end of the water pump 17 is connected with a main electromagnetic valve 18; the master electromagnetic valve 18 is respectively connected with a first electromagnetic valve group 19, a second electromagnetic valve group 20, a third electromagnetic valve group 21 and a fourth electromagnetic valve group 22, and the master electromagnetic valve 18 is used for uniformly controlling the on-off of water paths of the first electromagnetic valve group 19, the second electromagnetic valve group 20, the third electromagnetic valve group 21 and the fourth electromagnetic valve group 22.
The irrigation controller 4 is respectively connected with the water pump 17, the first electromagnetic valve group 19 of the electromagnetic main valve 18, the second electromagnetic valve group 20, the third electromagnetic valve group 21 and the fourth electromagnetic valve group 22, and the irrigation controller 4 is used for controlling the opening and closing of the water pump 17, the first electromagnetic valve group 19 of the electromagnetic main valve 18, the second electromagnetic valve group 20, the third electromagnetic valve group 21 and the fourth electromagnetic valve group 22. The irrigation controller 4 is provided with a net opening, and the upper computer 3 can control the irrigation controller 4 through a network.
A first solenoid valve group 19 for irrigation of the crops of the first zone;
a second solenoid valve set 20 for irrigation of the crops in the second zone;
a third electromagnetic valve group 21 for irrigation of crops in a third subarea;
a fourth solenoid valve group 22 for irrigation of the crop of the fourth sector;
when the information acquired by each sensor and the soil moisture content value of each partition received by the drought index determinator 1 are not in the preset range, the alarm 15 gives an alarm corresponding to the partition, and the display screen 16 displays the partition alarm.
The drought index determinator 1 is connected with the irrigation controller 4, when the acquired information and the soil moisture content value of each subarea are not within a preset range, the irrigation controller 4 can realize automatic irrigation through setting, and when the acquired information and the soil moisture content value of each subarea reach the preset range, the irrigation is automatically stopped.
The devices requiring electricity are connected to the solar cell 5.
The upper computer 3 includes: the mobile terminal, the mobile terminal and the PC terminal are held by hands, real-time monitoring of the crop growth environment and real-time detection of the soil moisture content value are achieved to the greatest extent through a network, the crop drought condition is prevented efficiently and accurately, and more reasonable and accurate irrigation is carried out.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; although the present invention has been described in detail with reference to the foregoing embodiments, it should be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the scope of the embodiments of the present invention, and are intended to be covered by the claims and the specification.
Claims (9)
1. An intelligent irrigation system based on remote sensing data and plant image data which characterized in that: the system comprises a soil moisture content detector, a video collector, a multi-source meteorological detector, a water supply irrigation unit, an irrigation controller, a drought monitoring early-warning device and a drought index determinator; the drought index determinator is respectively connected with the soil moisture content detector, the video collector, the multi-source meteorological detector, the drought monitoring early-warning device and the upper computer; the upper computer is connected with an irrigation controller through a network to control the water supply irrigation unit.
2. The intelligent irrigation system based on remote sensing data and plant image data of claim 1, wherein: the multi-source meteorological detector comprises a temperature sensor, a humidity sensor, a wind speed sensor, a wind direction sensor, a rainfall sensor, a carbon dioxide sensor, a noise sensor, an illumination sensor and an information transceiver; the temperature sensor, the humidity sensor, the wind speed sensor, the wind direction sensor, the rainfall sensor, the carbon dioxide sensor, the noise sensor and the illumination sensor are respectively connected with the information transceiver and used for receiving and sending information acquired by the sensors.
3. The intelligent irrigation system based on remote sensing data and plant image data of claim 2, wherein: the information transceiver is connected with the drought index determinator and used for sending the received information acquired by each sensor to the drought index determinator.
4. The intelligent irrigation system based on remote sensing data and plant image data of claim 1, wherein: the drought index tester is respectively connected with the soil moisture content detector and the video collector; the soil moisture content detector is used for detecting a soil moisture content value; and the video collector is used for collecting videos in real time.
5. The intelligent irrigation system based on remote sensing data and plant image data of claim 1, wherein: the water supply irrigation unit comprises a water pump, an electromagnetic main valve and an electromagnetic valve group; the water outlet end of the water pump is connected with the electromagnetic main valve; and the electromagnetic main valve is used for controlling the on-off of the electromagnetic valve group.
6. The intelligent irrigation system based on remote sensing data and plant image data of claim 5, wherein: the irrigation controller is respectively connected with the water pump, the electromagnetic main valve and the electromagnetic valve group and used for controlling the on-off of the water pump, the electromagnetic main valve and the electromagnetic valve group.
7. The intelligent irrigation system based on remote sensing data and plant image data of claim 2, wherein: the drought monitoring early warning device comprises: an alarm and a display;
the display is used for displaying the information, the soil moisture content value and the collected video which are received by the drought index determinator and acquired by the sensors;
and when the information acquired by each sensor and the soil moisture content value received by the drought index determinator are not in a preset range, the alarm gives an alarm.
8. The intelligent irrigation system based on remote sensing data and plant image data of claim 2, wherein: and the upper computer is connected with the drought index determinator through a network and is used for displaying the information, the soil moisture content value and the collected video which are received by the drought index determinator and acquired by each sensor.
9. The intelligent irrigation system based on remote sensing data and plant image data of claim 8, wherein: the host computer includes: the system comprises a handheld mobile terminal, a mobile terminal and a PC terminal.
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| CN202021904243.5U CN213306689U (en) | 2020-09-03 | 2020-09-03 | Intelligent irrigation system based on remote sensing data and plant image data |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114442705A (en) * | 2021-12-31 | 2022-05-06 | 浙江优控云科技有限公司 | Intelligent agricultural system based on Internet of things and control method |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114442705A (en) * | 2021-12-31 | 2022-05-06 | 浙江优控云科技有限公司 | Intelligent agricultural system based on Internet of things and control method |
| CN114442705B (en) * | 2021-12-31 | 2023-06-16 | 浙江优控云科技有限公司 | Intelligent agricultural system based on Internet of things and control method |
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