CN204373695U - There is the crop parameter detection device of independent navigation function - Google Patents
There is the crop parameter detection device of independent navigation function Download PDFInfo
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- CN204373695U CN204373695U CN201520056568.5U CN201520056568U CN204373695U CN 204373695 U CN204373695 U CN 204373695U CN 201520056568 U CN201520056568 U CN 201520056568U CN 204373695 U CN204373695 U CN 204373695U
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Abstract
The utility model openly has the crop parameter detection device of independent navigation function, MCU is connected with chlorophyll detection module, infrared measurement of temperature module, NDVI detection module, SD card module, GPRS communication module, image capture module, GPS module, laser ranging module, feeler module, motor drive module, gyro module, charge management module respectively, lithium-ions battery is connected with charge management module respectively with solar panel, and charge management module is connected with motor drive module.The utility model adopts embedded intelligence control technology, combined by GPS navigation and microspur distance measuring sensor, accurate independent navigation on a large scale can be realized, this robot has carried various plants parameter detecting sensor simultaneously, can be applicable to detect parameters such as biomass, normalized site attenuation, plant surface temperature, plant water content, plant height, leaf area index, plant nitrogen content, chlorophyll.
Description
Technical field
The utility model belongs to crop phenotype parameter detecting field and device field, particularly relates to a kind of crop phenotype parameter detection device with independent navigation function.
Background technology
Agricultural modernization is fast-developing, when studying crops, need to detect crop phenotype parameter, in the last few years, although succeeded in developing and widespread use for the various sensors of crop phenotype parameter detecting, the testing of crop phenotype parameter is also very inconvenient, testing staff usually needs to carry various checkout equipment and in person detects in field, or fetch sample to return laboratory detect from field, so not only inefficiency, and make testing staff very tired.The development of device technique and airmanship, provides possibility for solving this kind of problem.
Utility model content
The purpose of this utility model is to overcome the deficiencies in the prior art, provide a kind of crop parameter detection device with independent navigation function, autonomous navigation device and crop parameter detecting sensor are combined, make to obtain data and become more intelligent, make the detection of crop table row parameter more quick and easy simultaneously, greatly reduce the working strength of testing staff.
The utility model adopts embedded intelligence control technology, and inside is integrated with independent navigation module, can realize large-scale independent navigation; Carry various crop phenotypic parameter detecting sensor, can detect the various parameters of crop; Utilize GPRS module to carry out long-distance transmissions measurement result and Long-distance Control is carried out to device; Utilize lithium-ions battery and solar panel to combine, for device provides power supply, improve the ability of working continuously of device, to realize the task of field continuous coverage on a large scale.
It is be achieved through the following technical solutions that the utility model solves its technical matters:
A kind of crop parameter detection device with independent navigation function, comprise: MCU unit, chlorophyll detection module, infrared measurement of temperature module, NDVI detection module, SD card module, GPRS communication module, image capture module, GPS module, laser ranging module, feeler module, motor drive module, gyro module, charge management module, lithium-ions battery, solar panel, wherein MCU respectively with chlorophyll detection module, infrared measurement of temperature module, NDVI detection module, SD card module, GPRS communication module, image capture module, GPS module, laser ranging module, feeler module, motor drive module, gyro module, charge management module is connected, lithium-ions battery is connected with charge management module respectively with solar panel, charge management module is connected with motor drive module.
And described MCU unit model is ATMEGA2560 (Flash Memory 256KB, 100pin), as central controller.
And described chlorophyll detection module model is TYS-3N, for detecting chlorophyll, the nitrogen content of plant.
And described infrared measurement of temperature module model is MLX90614ESF, for detecting the surface temperature of plant.
And described NDVI detection module model is GreenSeeker.For detecting normalized site attenuation.
And described SD card module model is MicroSD Card Adapter v0.9b, for storing the detection data of crop parameter.
And described GPRS module model is GTM900, for the detection data of long-distance transmissions crop parameter and the control command of device.
And described image capture module model is OV7670 (storing containing FIFO), for the collection of image.
And described GPS module model is ATK-GPS, for location and the navigation of device.
And described laser range sensor and feeler are used for the barrier situation of accurately location and determinator surrounding.
And described motor drive module is used for drive unit motion.
And described gyro module model is MPU6050, its effect be holding device advance motion time steady.
And described charge management module is in charge of the charging of lithium-ions battery and solar panel, and powers for whole apparatus system.
The technical solution of the utility model adopts embedded intelligence control technology, inside is integrated with independent navigation module, being combined by GPS navigation and laser range sensor and feeler, (GPS module is responsible for roughly locating, laser range sensor and feeler are used for the barrier situation of accurately location and determinator surrounding), large-scale independent navigation can be realized.Device has carried various crop phenotypic parameter detecting sensor, can detect the various parameters of crop, utilizes GPRS module to carry out long-distance transmissions measurement result and carries out Long-distance Control to device.And device utilizes lithium-ions battery and solar panel to combine, for device provides power supply, improve ability of working continuously, to realize the task of field continuous coverage on a large scale.The utility model can be different according to different demand response carry sensor, the phenotypic parameter of various crop can be measured, to adapt to the demand of different occasion.
Accompanying drawing explanation
Fig. 1 is structure composition frame chart of the present utility model.
Embodiment
Below by specific embodiment, the utility model is described in further detail, and following examples are descriptive, is not to limit row, can not limit protection domain of the present utility model with this.
See accompanying drawing, a kind of crop phenotype parameter detection device with independent navigation function, comprise: MCU, chlorophyll detection module, infrared measurement of temperature module, NDVI detection module, SD card module, GPRS communication module, image capture module, GPS module, laser ranging module, feeler module, motor drive module, gyro module, charge management module, lithium-ions battery, solar panel, wherein MCU is respectively at chlorophyll detection module, infrared measurement of temperature module, NDVI detection module, SD card module, GPRS communication module, image capture module, GPS module, laser ranging module, feeler module, motor drive module, gyro module, charge management module is connected, lithium-ions battery is connected with charge management module with solar panel, charge management module is also connected with motor drive module.
MCU is as central controller, its model is ATMEGA2560 (Flash Memory 256KB, 100pin), and this integrated chip 4 road UART serial communication modulars, have 15 road AD/DA and a road iic bus, and SPI interface.In sheet, peripheral hardware enriches, and can simplify circuit and alleviate body load.
Chlorophyll detection module is for detecting chlorophyll, the nitrogen content of plant, and its model is TYS-3N, can record chlorophyll, nitrogen content simultaneously, be convenient to the drafting of the information distributing plan shapes such as plant nutrient, for plant precision fertilizing provides foundation.Carry out plant living body detection with being characterized in quick nondestructive, do not damage crop, do not affect the growth of plant.Chlorophyll detection module is connected with MCU, and communication mode is serial communication.
Infrared measurement of temperature module for detecting the surface temperature of plant, the infrared thermometer of its model to be MLX90614ESF, MLX90614ESF be a non-contact type temperature measurement.Be integrated with infrared sensitive thermopile detector chip and signal transacting ASSP (special IC) chip in its encapsulation.Owing to being integrated with low noise amplifier, 17 ADC and powerful DSP unit, can measuring tempeature accurately, its resolution in whole temperature measurement range is 0.02 DEG C, and the way of output is that digital SMBus exports.
NDVI detection module model is GreenSeeker, GreenSeeker spectrometer is a kind of crop investigations and diagnostic tool, can provide the ruddiness of the materials such as vegetation normalization index (NDVI) and vegetation and near infrared ratio.These indexes reflection crop is for the impact etc. of the response of nutrient, plant growth conditions, potential production, stress and disease and pest.This module also can be used for monitoring the change of field (crop, vegetation) environment, or the difference produced between contrast Different Fertilization amount and local standard rate of fertilizer application.
SD card module is for storing the detection data of crop parameter, its model is MicroSD Card Adapter v0.9b, this module (MicroSD Card Adapter) is MicroSD card module for reading and writing, by SPI interface drive program, MCU is utilized to complete initialization to SD card and read-write, its volume is little, and communication speed is fast, can for a long time, the parameter that records of Large Copacity accessor sensor.
GPRS module is used for the detection data of long-distance transmissions crop parameter and the control command of device, its model is GTM900 module, GTM900 module current collection words, note, GPRS function, have the advantages such as receiving sensitivity is high, standby current is little and volume is little, quality is light.
Image capture module is used for the collection of image, its model is OV7670 (storing containing FIFO), this module adopts 640*480 photosensitive array, outputting VGA image is up to 30 frames/second, SCCB bus marco, band FIFO stores, and solves picking rate fast, and the slow-footed problem of image transmitting.
GPS module is used for location and the navigation of device, its model is ATK-GPS, this module adopts U-BLOX NEO-6M module, module carries high-performance passive ceramic antenna, and carry Chargeable backup battery, support startup temperature or warm start, backup battery is after primary power source de-energizes, and the GPS that can maintain about half an hour receives data and preserves.
Laser range sensor and feeler are used for accurately location, and the barrier situation of determinator surrounding.
Motor drive module is used for drive unit motion.
Gyro module model is MPU6050, MPU-6000 is global the first conformability 6 axle motion process assembly, decreases a large amount of packaging spaces.Its effect be holding device advance motion time steady.
Charge management module is in charge of the charging of lithium-ions battery and solar panel, and powers for whole apparatus system.
Device utilizes the various crop phenotypic parameter detecting sensor (comprising: infrared measurement of temperature module, chlorophyll detection module, NDVI detection module) of carrying, and can detect the various parameters of crop; Utilize existing technology of Internet of things and mobile communication technology, roughly located by the GPS module of device, utilize GPRS module in real time and Monitoring and Controlling center carry out telecommunication, GPRS module sends positional information and crop parameter detecting the data obtained to monitoring center on the one hand, the positional information that monitoring center beams back according to GPRS on the other hand sends to device instructions such as arriving assigned address, independent navigation, parameter acquisition, quit work, realizes the Remote to device.Utilize lithium-ions battery and solar panel to combine, for device provides power supply, improve the ability of working continuously of device, to realize the task of field continuous coverage on a large scale.In the whole course of work of device, image capture module carries out image acquisition.In addition, device according to other different sensors of different demand response carry, can measure the phenotypic parameter of various crop, to adapt to the demand of different occasion.
Device is in independent navigation process, only need named place of destination, without the need to artificially interfering guidance path, can device MCU by analyze GPS module, laser range sensor and feeler provide information (GPS module be responsible for roughly locates, laser range sensor and feeler are used for the barrier situation of accurately location and determinator surrounding), accurately determine course, and control motor drive module simultaneously, drive unit moves, thus the autokinetic movement of implement device.
Above exemplary description is done to the utility model; should be noted that; when not departing from core of the present utility model, any simple distortion, amendment or other those skilled in the art can not spend the equivalent replacement of creative work all to fall into protection domain of the present utility model.
Claims (10)
1. there is the crop parameter detection device of independent navigation function, it is characterized in that, comprise: MCU unit, chlorophyll detection module, infrared measurement of temperature module, NDVI detection module, SD card module, GPRS communication module, image capture module, GPS module, laser ranging module, feeler module, motor drive module, gyro module, charge management module, lithium-ions battery, solar panel, wherein MCU unit respectively with chlorophyll detection module, infrared measurement of temperature module, NDVI detection module, SD card module, GPRS communication module, image capture module, GPS module, laser ranging module, feeler module, motor drive module, gyro module is connected with charge management module, lithium-ions battery is connected with charge management module respectively with solar panel, charge management module is connected with motor drive module simultaneously.
2. the crop parameter detection device with independent navigation function according to claim 1, is characterized in that: MCU unit model is ATMEGA2560.
3. the crop parameter detection device with independent navigation function according to claim 1, is characterized in that: chlorophyll detection module model is TYS-3N.
4. the crop parameter detection device with independent navigation function according to claim 1, is characterized in that: infrared measurement of temperature module model is MLX90614ESF.
5. the crop parameter detection device with independent navigation function according to claim 1, is characterized in that: NDVI detection module model is GreenSeeker.
6. the crop parameter detection device with independent navigation function according to claim 1, is characterized in that: SD card module model is MicroSD Card Adapterv0.9b.
7. the crop parameter detection device with independent navigation function according to claim 1, is characterized in that: GPRS module model is GTM900.
8. the crop parameter detection device with independent navigation function according to claim 1, is characterized in that: image transmission module model is OV7670.
9. the crop parameter detection device with independent navigation function according to claim 1, is characterized in that: GPS module model is ATK-GPS.
10. the crop parameter detection device with independent navigation function according to claim 1, is characterized in that: gyro module model is MPU6050.
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| CN201520056568.5U CN204373695U (en) | 2015-01-27 | 2015-01-27 | There is the crop parameter detection device of independent navigation function |
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| CN201520056568.5U CN204373695U (en) | 2015-01-27 | 2015-01-27 | There is the crop parameter detection device of independent navigation function |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106066189A (en) * | 2016-06-20 | 2016-11-02 | 北京农业信息技术研究中心 | Normalized differential vegetation index measures car automatically |
| CN106908062A (en) * | 2017-04-21 | 2017-06-30 | 浙江大学 | A kind of self-propelled chlorophyll fluorescence IMAQ robot and its acquisition method |
| CN111307150A (en) * | 2020-02-27 | 2020-06-19 | 华南农业大学 | Flexible plant airflow characterization physical parameter extraction device and method |
| DE202021106766U1 (en) | 2021-12-13 | 2022-06-08 | Shivani Agarwal | Intelligent device to determine the health status of plants by using IOT and machine learning |
-
2015
- 2015-01-27 CN CN201520056568.5U patent/CN204373695U/en not_active Expired - Fee Related
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106066189A (en) * | 2016-06-20 | 2016-11-02 | 北京农业信息技术研究中心 | Normalized differential vegetation index measures car automatically |
| CN106908062A (en) * | 2017-04-21 | 2017-06-30 | 浙江大学 | A kind of self-propelled chlorophyll fluorescence IMAQ robot and its acquisition method |
| CN106908062B (en) * | 2017-04-21 | 2019-08-13 | 浙江大学 | A kind of self-propelled chlorophyll fluorescence Image Acquisition robot and its acquisition method |
| CN111307150A (en) * | 2020-02-27 | 2020-06-19 | 华南农业大学 | Flexible plant airflow characterization physical parameter extraction device and method |
| DE202021106766U1 (en) | 2021-12-13 | 2022-06-08 | Shivani Agarwal | Intelligent device to determine the health status of plants by using IOT and machine learning |
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| Date | Code | Title | Description |
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| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20150603 Termination date: 20160127 |
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| EXPY | Termination of patent right or utility model |