CN210603292U - Winter wheat drought remote sensing monitoring grading index system - Google Patents
Winter wheat drought remote sensing monitoring grading index system Download PDFInfo
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- CN210603292U CN210603292U CN201921567464.5U CN201921567464U CN210603292U CN 210603292 U CN210603292 U CN 210603292U CN 201921567464 U CN201921567464 U CN 201921567464U CN 210603292 U CN210603292 U CN 210603292U
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Abstract
The utility model discloses a hierarchical index system of winter wheat arid remote sensing monitoring, concretely relates to winter wheat monitoring technology field, including data processing module, the data processing module input is equipped with monitoring module and signal reception module, the signal reception module input is equipped with remote sensing module, the data processing module link is equipped with wireless communication module, the wireless communication module input is equipped with the figure and acquires the module, the image acquisition module input is equipped with orientation module, data processing module includes the computer. The utility model discloses a monitoring module monitors vegetation index, soil moisture, ambient temperature and soil pH value respectively, obtains the remote sensing image through remote sensing module simultaneously, and a plurality of unmanned aerial vehicle carry on the camera subregion and carry out closely shooting winter wheat, then utilize data processing module to handle image and data, obtain the normalized vegetation index, compare with prior art, and monitoring effect is better.
Description
Technical Field
The utility model relates to a winter wheat monitoring technology field, more specifically says, the utility model relates to a hierarchical index system of winter wheat arid remote sensing monitoring.
Background
The remote sensing technology is a comprehensive technology which is used for detecting and identifying various scenes on the ground by collecting, processing and finally imaging electromagnetic wave information radiated and reflected by a long-distance target by using various sensing instruments according to the theory of electromagnetic waves, and can be used for remotely sensing and monitoring the drought condition of winter wheat.
In the prior art, a winter wheat remote sensing monitoring system obtains a remote sensing image through a remote sensing satellite, a short-distance detailed wheat growth condition image and a short-distance detailed wheat growth environment image are difficult to obtain, and the monitoring effect is not ideal enough.
SUMMERY OF THE UTILITY MODEL
In order to overcome prior art's above-mentioned defect, the embodiment of the utility model provides a hierarchical index system of winter wheat arid remote sensing monitoring, respectively to the vegetation index through monitoring module, soil moisture, ambient temperature and soil pH value monitor, obtain the remote sensing image through remote sensing module simultaneously, a plurality of unmanned aerial vehicle carry on the camera subregion and carry out closely shooting to winter wheat, then utilize data processing module to handle image and data, obtain the normalized vegetation index, compare with prior art, monitoring effect is better, with the problem of proposing in solving above-mentioned background art.
In order to achieve the above object, the utility model provides a following technical scheme: a winter wheat drought remote sensing monitoring grading index system comprises a data processing module, wherein the input end of the data processing module is provided with a monitoring module and a signal receiving module, the input end of the signal receiving module is provided with a remote sensing module, the connecting end of the data processing module is provided with a wireless communication module, the input end of the wireless communication module is provided with an image acquisition module, the input end of the image acquisition module is provided with a positioning module, the data processing module comprises a computer, the monitoring module comprises a vegetation index monitor, a soil humidity sensor, a temperature sensor and a soil PH value sensor, the signal receiving module comprises a signal receiver, the remote sensing module comprises a remote sensing satellite, the wireless communication module comprises a wireless communication chip, the image acquisition module comprises an unmanned aerial vehicle and a camera, and the positioning module comprises a GPS (global positioning system) positioner, the wireless communication chip, the GPS positioner and the camera are all arranged on the unmanned aerial vehicle;
the data processing module is used for receiving remote sensing data obtained by a remote sensing satellite transmitted by the signal receiver through the computer, receiving vegetation indexes, soil humidity, environmental temperature and soil PH value data monitored by the vegetation index monitor, the soil humidity sensor, the temperature sensor and the soil PH value sensor at the same time, then carrying out data processing on the obtained data to obtain a normalized vegetation index, obtaining an image shot by a camera on the unmanned aerial vehicle through the wireless communication chip, and obtaining position information of the unmanned aerial vehicle through the GPS locator;
the monitoring module is used for monitoring the vegetation index, the soil humidity, the environmental temperature and the soil pH value through a vegetation index monitor, a soil humidity sensor, a temperature sensor and a soil pH value sensor respectively, converting the obtained data into digital signals and transmitting the digital signals to the computer;
the signal receiving module is used for receiving remote sensing data on a remote sensing satellite through a signal receiver;
the remote sensing module is used for obtaining a remote sensing image of winter wheat through a remote sensing satellite;
the wireless communication module is used for carrying out wireless communication with a camera and a GPS (global positioning system) positioner on the unmanned aerial vehicle through a wireless communication chip.
In a preferred embodiment, the vegetation index monitor, the soil moisture sensor, the temperature sensor and the soil PH sensor are all connected to an input of a computer.
In a preferred embodiment, the telemetry satellite is in signal connection with a signal receiver.
In a preferred embodiment, the computer is in signal connection with the unmanned aerial vehicle, the camera and the GPS locator through a wireless communication chip.
In a preferred embodiment, the image acquisition module is used for shooting the growth condition and the growth environment of the winter wheat at a short distance through a camera on the unmanned aerial vehicle.
In a preferred embodiment, the positioning module is configured to position the positions of the multiple drones in real time by means of a GPS locator.
In a preferred embodiment, the output end of the data processing module is provided with a spectrum display module, and the spectrum display module comprises a spectrum display.
In a preferred embodiment, the spectrum display module is used for displaying the vegetation index spectrum and the image shot by the camera through a spectrum display.
The utility model discloses a technological effect and advantage:
1. the vegetation index, the soil humidity, the environmental temperature and the soil pH value are respectively monitored through the monitoring module, meanwhile, remote sensing images are obtained through the remote sensing module, the unmanned aerial vehicles carry cameras to carry out regional close-range shooting on winter wheat, then, the images and data are processed through the data processing module to obtain the normalized vegetation index, and compared with the prior art, the monitoring effect is better;
2. receive the digital signal that the computer transmitted through spectral display, show spectral image, remote sensing image and shoot the image, environmental temperature, soil humidity, the normalization vegetation index and the soil pH value that show simultaneously and measure, the staff of being convenient for is more directly perceived observes winter wheat's growth condition and environment, compares with prior art, observes more directly perceived.
Drawings
Fig. 1 is a block diagram of the system of the present invention.
Fig. 2 is a block diagram of the present invention.
Fig. 3 is a topological diagram of the present invention.
The reference signs are: the system comprises a data processing module, a 2 monitoring module, a 3 signal receiving module, a 4 remote sensing module, a 5 wireless communication module, a 6 image acquisition module, a 7 positioning module, a 8 computer, a 9 vegetation index monitor, a 10 soil humidity sensor, a 11 temperature sensor, a 12 soil PH value sensor, a 13 signal receiver, a 14 remote sensing satellite, a 15 wireless communication chip, a 16 unmanned aerial vehicle, a 17 camera, a 18GPS positioner, a 19 spectrum display module and a 20 spectrum display.
Detailed Description
The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments in the present invention, all other embodiments obtained by a person skilled in the art without creative work belong to the protection scope of the present invention.
The winter wheat drought remote sensing monitoring grading index system shown in the figures 1-3 comprises a data processing module 1, wherein the input end of the data processing module 1 is provided with a monitoring module 2 and a signal receiving module 3, the input end of the signal receiving module 3 is provided with a remote sensing module 4, the connecting end of the data processing module 1 is provided with a wireless communication module 5, the input end of the wireless communication module 5 is provided with an image acquisition module 6, the input end of the image acquisition module 6 is provided with a positioning module 7, the data processing module 1 comprises a computer 8, the monitoring module 2 comprises a vegetation index monitor 9, a soil humidity sensor 10, a temperature sensor 11 and a soil pH value sensor 12, the model of the soil humidity sensor 10 is set to FT-S485, the model of the temperature sensor 11 is set to DS18B20, the model of the soil pH value sensor 12 is set to SYS-TRSJ, the signal receiving module 3 comprises a signal receiver 13, the remote sensing module 4 comprises a remote sensing satellite 14, the wireless communication module 5 comprises a wireless communication chip 15, the image acquisition module 6 comprises an unmanned aerial vehicle 16 and a camera 17, the positioning module 7 comprises a GPS (global positioning system) positioner 18, and the wireless communication chip 15, the GPS positioner 18 and the camera 17 are all installed on the unmanned aerial vehicle 16;
the data processing module 1 is configured to receive, by a computer 8, remote sensing data obtained by a remote sensing satellite 14 transmitted by a signal receiver 13, receive vegetation index, soil humidity, environmental temperature, and soil PH value data monitored by a vegetation index monitor 9, a soil humidity sensor 10, a temperature sensor 11, and a soil PH value sensor 12, perform data processing on the obtained data to obtain a normalized vegetation index, obtain an image taken by a camera 17 on an unmanned aerial vehicle 16 through a wireless communication chip 15, and obtain position information of the unmanned aerial vehicle 16 through a GPS locator 18;
the monitoring module 2 is used for monitoring the vegetation index, the soil humidity, the environmental temperature and the soil pH value through a vegetation index monitor 9, a soil humidity sensor 10, a temperature sensor 11 and a soil pH value sensor 12 respectively, and converting the obtained data into digital signals to be transmitted to the computer 8;
the signal receiving module 3 is used for receiving remote sensing data on a remote sensing satellite 14 through a signal receiver 13;
the remote sensing module 4 is used for obtaining a remote sensing image of winter wheat through a remote sensing satellite 14;
the wireless communication module 5 is used for carrying out wireless communication with a camera 17 and a GPS locator 18 on the unmanned aerial vehicle 16 through a wireless communication chip 15;
the vegetation index monitor 9, the soil humidity sensor 10, the temperature sensor 11 and the soil pH value sensor 12 are all connected with the input end of the computer 8;
the remote sensing satellite 14 is in signal connection with the signal receiver 13;
the computer 8 is in signal connection with an unmanned aerial vehicle 16, a camera 17 and a GPS positioner 18 through a wireless communication chip 15;
the image acquisition module 6 is used for shooting the growth condition and growth environment of winter wheat in a short distance through a camera 17 on the unmanned aerial vehicle 16;
the positioning module 7 is used for positioning the positions of the multiple drones 16 in real time through the GPS locator 18.
The implementation mode is specifically as follows: when the utility model is used, the vegetation index, the soil humidity, the environmental temperature and the soil PH value are respectively monitored by the vegetation index monitor 9, the soil humidity sensor 10, the temperature sensor 11 and the soil PH value sensor 12, the obtained data are converted into digital signals and transmitted to the computer 8, meanwhile, the remote sensing satellite 14 obtains remote sensing images of winter wheat and transmits the remote sensing images to the computer 8 for data processing, thereby obtaining the normalized vegetation index, meanwhile, the computer 8 controls a plurality of unmanned planes 16 provided with cameras 17 to shoot the growth condition and the growth environment of the winter wheat in different areas through the wireless communication chip 15, transmits the images to the computer 8 for processing and analysis, positions the unmanned planes 16 according to the position signals transmitted by the GPS positioner 18, thereby carrying out different area division on the winter wheat, be convenient for monitor, wholly make the utility model discloses a monitoring effect is better, and this embodiment has specifically solved the unsatisfactory problem of monitoring effect among the prior art.
The winter wheat drought remote sensing monitoring grading index system shown in fig. 1-3 further comprises a spectrum display module 19, wherein the spectrum display module 19 is arranged at the output end of the data processing module 1, the spectrum display module 19 comprises a spectrum display 20, and the spectrum display module 19 is used for displaying a vegetation index spectrum and an image shot by the camera 17 through the spectrum display 20.
The implementation mode is specifically as follows: use the utility model discloses the time, receive the digital signal that computer 8 transmitted and come through spectral display 20, show spectral image, remote sensing image and shoot the image, environmental temperature, soil humidity, normalization vegetation index and the soil pH value that the simultaneous display measured, the staff of being convenient for is more audio-visual to observe the growth conditions and the environment of winter wheat, and this embodiment has specifically solved and has shown non-audio-visual problem among the prior art.
The utility model discloses the theory of operation:
referring to the attached drawings 1-3 of the specification, when the utility model is used, the monitoring is carried out through a vegetation index monitor 9, a soil humidity sensor 10, a temperature sensor 11 and a soil pH value sensor 12, meanwhile, a remote sensing satellite 14 obtains a remote sensing image of winter wheat and transmits the remote sensing image to a computer 8 for data processing, so that a normalized vegetation index is obtained, meanwhile, the computer 8 controls a plurality of unmanned aerial vehicles 16 carrying cameras 17 to shoot the growth condition and the growth environment of the winter wheat in different areas, and transmits the image to the computer 8 for processing and analysis, and positions the unmanned aerial vehicles 16 according to position signals transmitted by a GPS positioner 18, so that the winter wheat can be divided into different areas, the monitoring is convenient, and the whole monitoring effect of the utility model is better;
referring to the attached drawings 1-3 of the specification, when the utility model is used, the digital signal that comes from the computer 8 is received through the spectrum display 20, and spectrum image, remote sensing image and shooting image are shown, and the ambient temperature, soil humidity, the normalized vegetation index and the soil pH value that record are shown simultaneously, the more audio-visual growth condition and the environment of observing winter wheat of the staff of being convenient for.
The points to be finally explained are: first, in the description of the present application, it should be noted that, unless otherwise specified and limited, the terms "mounted," "connected," and "connected" should be understood broadly, and may be a mechanical connection or an electrical connection, or a communication between two elements, and may be a direct connection, and "upper," "lower," "left," and "right" are only used to indicate a relative positional relationship, and when the absolute position of the object to be described is changed, the relative positional relationship may be changed;
secondly, the method comprises the following steps: in the drawings of the disclosed embodiments of the present invention, only the structures related to the disclosed embodiments are referred to, and other structures can refer to the common design, and under the condition of no conflict, the same embodiment and different embodiments of the present invention can be combined with each other;
and finally: the above description is only for the preferred embodiment of the present invention and should not be taken as limiting the invention, and any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (8)
1. The utility model provides a hierarchical index system of winter wheat arid remote sensing monitoring, includes data processing module (1), its characterized in that: the input end of the data processing module (1) is provided with a monitoring module (2) and a signal receiving module (3), the input end of the signal receiving module (3) is provided with a remote sensing module (4), the connecting end of the data processing module (1) is provided with a wireless communication module (5), the input end of the wireless communication module (5) is provided with an image acquisition module (6), the input end of the image acquisition module (6) is provided with a positioning module (7), the data processing module (1) comprises a computer (8), the monitoring module (2) comprises a vegetation index monitor (9), a soil humidity sensor (10), a temperature sensor (11) and a soil pH value sensor (12), the signal receiving module (3) comprises a signal receiver (13), the remote sensing module (4) comprises a remote sensing satellite (14), and the wireless communication module (5) comprises a wireless communication chip (15), the image acquisition module (6) comprises an unmanned aerial vehicle (16) and a camera (17), the positioning module (7) comprises a GPS (global positioning system) positioner (18), and the wireless communication chip (15), the GPS positioner (18) and the camera (17) are all installed on the unmanned aerial vehicle (16);
the data processing module (1) is used for receiving remote sensing data obtained by a remote sensing satellite (14) transmitted by a signal receiver (13) through a computer (8), simultaneously receiving vegetation index, soil humidity, environment temperature and soil PH value data monitored by a vegetation index monitor (9), a soil humidity sensor (10), a temperature sensor (11) and a soil PH value sensor (12), then carrying out data processing on the obtained data to obtain a normalized vegetation index, obtaining an image shot by a camera (17) on an unmanned aerial vehicle (16) through a wireless communication chip (15), and simultaneously obtaining position information of the unmanned aerial vehicle (16) through a GPS (18);
the monitoring module (2) is used for respectively monitoring vegetation indexes, soil humidity, environment temperature and soil pH value through a vegetation index monitor (9), a soil humidity sensor (10), a temperature sensor (11) and a soil pH value sensor (12), and converting the obtained data into digital signals to be transmitted to the computer (8);
the signal receiving module (3) is used for receiving remote sensing data on a remote sensing satellite (14) through a signal receiver (13);
the remote sensing module (4) is used for obtaining a remote sensing image of winter wheat through a remote sensing satellite (14);
the wireless communication module (5) is used for carrying out wireless communication with a camera (17) and a GPS (global positioning system) positioner (18) on the unmanned aerial vehicle (16) through a wireless communication chip (15).
2. The remote sensing monitoring grading index system for winter wheat drought according to claim 1, characterized in that: the vegetation index monitor (9), the soil humidity sensor (10), the temperature sensor (11) and the soil PH value sensor (12) are all connected with the input end of the computer (8).
3. The remote sensing monitoring grading index system for winter wheat drought according to claim 1, characterized in that: the remote sensing satellite (14) is in signal connection with the signal receiver (13).
4. The remote sensing monitoring grading index system for winter wheat drought according to claim 1, characterized in that: the computer (8) is in signal connection with the unmanned aerial vehicle (16), the camera (17) and the GPS positioner (18) through the wireless communication chip (15).
5. The remote sensing monitoring grading index system for winter wheat drought according to claim 1, characterized in that: the image acquisition module (6) is used for shooting the growth condition and the growth environment of winter wheat in a short distance through a camera (17) on the unmanned aerial vehicle (16).
6. The remote sensing monitoring grading index system for winter wheat drought according to claim 1, characterized in that: the positioning module (7) is used for positioning the positions of the multiple unmanned aerial vehicles (16) in real time through the GPS positioner (18).
7. The remote sensing monitoring grading index system for winter wheat drought according to claim 1, characterized in that: the output end of the data processing module (1) is provided with a spectrum display module (19), and the spectrum display module (19) comprises a spectrum display (20).
8. The remote sensing monitoring grading index system for winter wheat drought according to claim 7, characterized in that: the spectrum display module (19) is used for displaying the vegetation index spectrum and the image shot by the camera (17) through a spectrum display (20).
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| CN201921567464.5U CN210603292U (en) | 2019-09-20 | 2019-09-20 | Winter wheat drought remote sensing monitoring grading index system |
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| CN201921567464.5U CN210603292U (en) | 2019-09-20 | 2019-09-20 | Winter wheat drought remote sensing monitoring grading index system |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112213265A (en) * | 2020-09-29 | 2021-01-12 | 水利部牧区水利科学研究所 | Vegetation covers monitoring system based on unmanned aerial vehicle remote sensing technology |
| CN113075359A (en) * | 2021-03-18 | 2021-07-06 | 塔里木大学 | Walnut growth prediction system based on satellite and unmanned aerial vehicle remote sensing combination |
| CN113834691A (en) * | 2021-09-17 | 2021-12-24 | 西安中科西光航天科技有限公司 | Soil monitoring device based on satellite remote sensing |
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2019
- 2019-09-20 CN CN201921567464.5U patent/CN210603292U/en active Active
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112213265A (en) * | 2020-09-29 | 2021-01-12 | 水利部牧区水利科学研究所 | Vegetation covers monitoring system based on unmanned aerial vehicle remote sensing technology |
| CN112213265B (en) * | 2020-09-29 | 2023-10-10 | 水利部牧区水利科学研究所 | Vegetation coverage monitoring system based on unmanned aerial vehicle remote sensing technology |
| CN113075359A (en) * | 2021-03-18 | 2021-07-06 | 塔里木大学 | Walnut growth prediction system based on satellite and unmanned aerial vehicle remote sensing combination |
| CN113834691A (en) * | 2021-09-17 | 2021-12-24 | 西安中科西光航天科技有限公司 | Soil monitoring device based on satellite remote sensing |
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