CN103731440B - Near-infrared crop growth information is monitored and its hazard prediction wireless system in real time - Google Patents
Near-infrared crop growth information is monitored and its hazard prediction wireless system in real time Download PDFInfo
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- CN103731440B CN103731440B CN201210379724.2A CN201210379724A CN103731440B CN 103731440 B CN103731440 B CN 103731440B CN 201210379724 A CN201210379724 A CN 201210379724A CN 103731440 B CN103731440 B CN 103731440B
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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
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Abstract
The real-time monitoring node of crop growth information in the present invention, including：The node of crop growth nutrition and node, crop growth form and Pest organism information monitoring node and multi-parameter crop growth soil and the miniclimate monitoring of physiological ecological information monitoring.Node constitutes jointly system with GPRS, Internet network, data processing centre, GIS and GPS, determines the position of abnormal information monitoring node, and be connected with mobile phone by GSM nets.To node Real-time Monitoring Data, the near-infrared stoichiometry software of application enhancements is analyzed and handled through precision agriculture expert system, and the disaster of crops is predicted using gray model for prediction.The present invention is simple in construction, easy to operate, and real-time is good, and the advantage of near-infrared spectral analysis technology is combined with wireless sensor network technology Dominant Facies, is under environment of internet of things, to realize that precision agriculture platform provides basic technology and supported.
Description
Technical field
The present invention is the advantage and gray system theory feature of abundant application near-infrared spectral analysis technology, is designed wireless
Under sensor network environment, node hardware device and its data processing platform (DPP) that crop growth information is monitored in real time, it is real
Existing precision agriculture realizes the important support part in platform.
Background technology
Existing crop growth information (such as nutrition and physiological ecological, form and Pest organism, the soil of growth with it is stingy
Wait) monitoring is all to crop growth, to be detected on the spot using portable or handheld instrument.The deficiency of this kind of detection
Place is a lack of real-time, and to instructing precision agriculture production to have little significance, detecting instrument index is few, and necessary testing staff is to now
, substantial amounts of manpower and materials particularly are expended when carrying out Large Area of Crops detection, time-consuming, testing cost is high.
The content of the invention
The purpose of the present invention is to overcome the shortcomings of existing crop growth information detection technology, fully the inspection of application near-infrared
Survey and wireless sensor network advantage, is combined both along with GPS and GIS technology, is changed and is detected as monitoring in real time, and
Realize disastrous prediction using gray system theory, under wireless sensor network environment, for realize precision agriculture platform there is provided
The support of foundation.
In order to achieve the above object, monitored in real time and its disastrous pre- the invention provides near-infrared crop growth information
Wireless sensor network system is surveyed, composition of the invention is as shown in Figure 1：There are combination monitoring node 1, the net of crop growth information
Artis 2, base station 3, GPRS network 4 and Iternet networks 5, Monitoring Data processing center 6 etc..
Further improvement of the present invention is：
1. the real-time monitoring node of combination of the present invention, is actually what is be made up of three nodes：
1) crop growth nutrition and the real-time monitoring node of physiological ecological information, its function be monitor the nitrogen of crops, phosphorus,
Potassium content, enzyme activity is soluble, insoluble proteins, total amino acid content, the index such as MDA.The sensor of the node is used
Near infrared light diffusing reflection probe and near-infrared fixed light path array detector, index and the near infrared spectrum of monitoring set up quantitative
Relational model, realizes multi-index monitoring.
2) crop growth soil and the real-time monitoring node of miniclimate, its function are while monitoring the soil of crop growth
Water content, the miniclimate near nutritional ingredient and monitoring point, i.e. humiture and wind speed etc..It is by corresponding multiple sensor samples
Composition.
3) crop growth form and the real-time monitoring node of Pest organism information, node CMOS near infrared light sensors,
The information such as main colored set feature, the three-dimensional configuration for obtaining plant.
Wherein Large Area of Crops monitoring node 1 constitutes such as accompanying drawing 3：Crop information collection sensor 6, signal condition electricity
Road 7, CC2530 RF SoCs 8, gps data acquisition module 9, photoelectric source 12 etc. are constituted；The accompanying drawing 4 of gateway node 2 is constituted：
CC2530 RF SoCs 8, ARM32 bit microprocessors 13, GPRS module 17, wind-solar power supply 14 etc..Small area crops supervise
Survey node composition figure attached 5：Crop growth information acquisition sensor 6, signal conditioning circuit 7, GPRS module, wind-solar power supply 11.
2. wireless sensing system of the present invention also includes：Wireless sensing sensor network monitoring node passes Real-time Monitoring Data
Database of National Center 20 is defeated by, the disastrous prediction of crop growth is carried out through related Grey System Theory Model, while with
Near-infrared relational model analyzes the multi-index monitoring data for realizing crop growth information, and the result of correlation model is through expert system
Analyzing and processing, for guiding agricultural production.The abnormal information of monitoring is calculated by GPS location information with being stored in monitoring center
GIS24 softwares in machine are combined, and realize that monitoring is accurately positioned in real time with the crop growth abnormal information analyzed, to different
Normal information energy automatic alarm, is automatically sent in the mobile phone of relevant staff by GSM23 short messages.
The real-time monitoring node device of crop growth information and its data handling system of the present invention has following good effect：
1. the advantage of near-infrared spectral analysis technology is combined with wireless sensor network technology Dominant Facies, the farming of design
The real-time monitoring node device of thing growth information, realizes monitoring in real time, and its data is carried out into wireless sensing transmission, is precision agriculture
Platform provides basic technology and supported.
2. crop growth nutrition is monitored with Pest organism with crop growth form with the real-time monitoring node of Ecological information and saved
The sampling sensor of point uses near ir devices, with real-time is good, the spy such as monitoring index, many precision be high and simple in construction
Point.
3. the power supply of the real-time monitoring node of combined type is all to use photovoltaic power source (wind-light-electricity power supply), realize truly
Energy-saving and emission-reduction.
4. real-time monitoring node can also both monitor the life of small area crops with monitor large-area crop growth information
Long message.Accompanying drawing 5 is also used as Portable near infrared crop growth infomation detection and monitor.
5. in monitoring node load gps data acquisition module, can by the real-time monitoring node position data of collection with
GIS in data processing centre's computer is combined, rapid to determine the position of monitoring abnormal information in real time, and will be monitored in real time
Abnormal information, by GSM platforms, send the SMS in relevant staff's mobile phone.
6. according to the disastrous change mechanism of crops, using Grey System Theory Model, carry out the disaster of crop growth
Property prediction.
Brief description of the drawings
Fig. 1 Large Area of Crops growth information monitoring system schematic diagrames
Fig. 2 small area crop growth information monitoring system schematic diagrames
Fig. 3 Large Area of Crops growth information monitoring node figures
Fig. 4 Large Area of Crops growth information monitors gateway node figure
Fig. 5 small area crop growth information monitoring node diagrams
The processing of Fig. 6 crop growths information data and its disaster prediction system
The optical principle schematic diagram of Fig. 7 diffusing reflections near-infrared fibre-optical probe
The light path schematic diagram of Fig. 8 near-infrared fixed light path array detectors
In figure, 0 big (small) area crops, detection node 1, gateway node 2, base station 3, GPRS/GSM4, INTERNET5,
Inspection center 6, crops life information acquisition sensor 7, signal conditioning circuit 8, the radio-frequency transmissions based on Zigbee communication agreement
Module (CC2530) 9, gps data acquisition module 10, usb 11, photoelectric source 12, power management chip 13, microprocessor 14,
Wind-solar power supply 15, SIM card holder 16, GPRS/GSM modules 17, corps nutrient and the real-time monitoring information 18 of physiological ecological, crops
Soil for growth and the real-time monitoring information 19 of miniclimate, crop growth form and the real-time monitoring information 20 of Pest organism, quantitative information
Database 21, system display function ((1) data display and analysis curve (being modeled with gray system theory), (2) near-infrared relation
Model analysis monitors (expert system) 22, GSM message automatic remote alarm 23 with display, (3) crop growth information, showed in real time
Field GIS shows exact position and automatic alarm 24, precision agriculture platform 25, light source 26, luminous source optical fiber 27, detection fiber 28, inspection
Survey device (TSL245) 29, crops 30, entrance slit 31, Dispersive Devices 32, array detector 33.
Special instruction, crop growth information acquisition sensor 6 is different and different because of node in Fig. 3, Fig. 5.
Embodiment
The invention will be further described below in conjunction with the accompanying drawings.
Below in conjunction with the accompanying drawings to near-infrared crop growth information of the present invention monitoring in real time and its wireless biography of disastrous prediction
Sensing system is described in detail.
Referring to shown in accompanying drawing 1：The monitoring node 1 of crop growth information, gateway node 2, base station 3, GPRS network 4 with
Iternet networks 5, Monitoring Data processing center 6 etc. are constituted.
The monitoring node 1 of crop growth information constitutes as follows：
Crop growth nutrition and the real-time monitoring node of physiological ecological information, its function are nitrogen, phosphorus, the potassium for monitoring crops
Content, enzyme activity is soluble, insoluble proteins, total amino acid content, the index such as MDA.The sensor of the node is using near
Infrared light diffusing reflection is popped one's head in, and index and the near infrared spectrum of monitoring set up causes, realize multi-index monitoring.
Crop growth soil and the real-time monitoring node of miniclimate information, its function are while monitoring crop growth nutrition
With the water content of the soil of physiological ecological information monitoring node crop growth, the miniclimate near nutritional ingredient and monitoring point,
That is humiture and wind speed etc..It is made up of corresponding multiple sensor samples.Selected according to above-mentioned requirements soil monitoring sensor
It is as follows：Soil temperature-moisture sensor-FDS-100, the compact design of this sensor bulk is easy to carry, installs, operates and safeguards
Simply.Reasonable in design, Stainless Steel probe ensures service life.Outside to be encapsulated with the pure colloid of epoxy resin, good airproof performance can
Use, and do not corroded in directly placing into the soil.The vane and weathercock of air velocity transducer WFS-1 types are by high-weatherability, high intensity
Engineering plastics are manufactured, and sensor housing is shaped using ABS engineering plastics, and upper-lower casing is sealed by rubber o-ring.Internal circuit is equal
By spraying three-proofing coating processing, whole air velocity transducer has the adaptability of good adverse environment resistant.
Crop growth form and the real-time monitoring node of Pest organism information, node CMOS near infrared light sensors are main
Obtain the information such as colored set feature, the three-dimensional configuration of plant.CMOS near infrared light sensors KP-F120F/KP-F120CL
Hitachi's near-infrared camera.
In accompanying drawing 3,4 and 5,9 select CC2530 radio-frequency modules, and microprocessor 14 is from a embedded of Atmel companies
The high speed arm processor AT91RM9200 of 32 ARM920T cores is as center processor, with high-performance, low-power consumption, low cost
Feature, it instructs processing speed to be up to 200MI/s (million VAX Instructions Per Second VAXs), can meet the high speed of wireless sensor gateway node
Transmission requirement, it is a technical grade microcontroller again, being capable of the severe requirement of appropriate gateway node working environment, it is ensured that gateway
The stability of node work.The (SuSE) Linux OS of standard can be transplanted on AT91RM9200 simultaneously, gateway node is reduced soft
The development difficulty of part and the portability for enhancing it, are conducive to the secondary development of software.
Wireless launcher includes sim card socket 16, GPRS module 17 and antenna.Sim card socket 16 and antenna respectively with
GPRS module 17 is connected.Wireless launcher is connected with microprocessor and power module respectively by GPRS module.GPRS module
17 select MC55 modules, as the ICP/IP protocol stack built in MC55 modules, application program is easy to access by AT instruction controls
Network.The advantage of this scheme is that it is not required to application program, and developer performs TCP/IP the and PPP stacks of oneself, so minimum
Change the cost needed for network connection into the application program that one new or has existed and time, realized that the wireless of data is dialled
Number GPRS connections.
Photoelectric source 12 and wind-solar power supply 15 are respectively from reason scholar LPEPFi00 and wind and light complementary power supply AC220/DC380.
In accompanying drawing 7,8, their composition：Light source 26, luminous source optical fiber 27, detection fiber 28, detector (TSL245) 29,
Crops 30, entrance slit 31, Dispersive Devices 32, array detector 33.Accompanying drawing 7,8 is described as follows：
A kind of present invention new array detection type near infrared light monitoring sensing device to be used.Because grating wavelength is scanned
Type near-infrared monitors the construction of sensing device, and the key factor for influenceing its sweep speed, anti-interference and signal to noise ratio is that machinery is swept
System and the structure design of slit are retouched, all these problems are in array detection type near infrared light monitoring sensing device structure design
It is solved.Such as accompanying drawing 7, grating spectrum is shone directly on array detector, eliminates length scanning mechanical rotation system
System, the different pixels order of detector corresponds to the spectrum of different wave length.Device does not have moving parts, improves anti-interference；
Array detector reads data speed quickly, significantly improves spectral wavelength sweep speed, up to 50 spectrum/s.
Diffusing reflection near infrared light probe can for measuring various types of solid samples, such as plastics, fruit, tablet,
Crops etc..Accompanying drawing 8 gives a kind of optical principle schematic diagram of diffusing reflection fibre-optical probe, is that effective collection sample is irreflexive
Light, diffusing reflection probe uses fibre bundle.Such as n × m fibre bundles, n roots optical fiber is used for transmitting the light from light source or monochromator and (claimed
For luminous source optical fiber, source fiber), it is allowed to be irradiated on testing sample, m roots optical fiber is then used for collecting diffusing for sample
(being referred to as detection fiber, detector fiber), and it is transmitted back to spectrometer.Fibre bundle is arranged with various ways, well-regulated,
Such as inner ring optical fiber makees detection fiber, and outer ring optical fiber is made luminous source optical fiber, or detection fiber and the arrangement of luminous source optical fiber uniform intervals, also had
Random arrangement, as arbitrarily arranged.Due to using fibre bundle, light energy decay is serious, therefore transmission range is unsuitable long, and one
As within 50m.
Array detection type near infrared light is monitored into sensing device to be combined with diffusing reflection near infrared light probe, advantage is carried out
Complementation, is monitored in real time to crop growth nutrition with physiological ecological information, to obtain more monitoring informations, it is ensured that near-infrared number
The precision for handling model according to relation data is accurate.
The disastrous change mechanism of crops is very complicated, and its trend analysis is a complicated system, only closely red by gas
The information that outer sensor is obtained is incomplete, and itself has apparent grey characteristics, so being to handle with gray theory
It is better suited.Grey Catastkophe Forecasting is substantially exceptional value prediction, and which type of value can be regarded as exceptional value, and often people are by rule of thumb
What subjectivity was determined.The task of Grey Catastkophe Forecasting is at the time of providing next or several exceptional values to occur, so that people shift to an earlier date
Prepare, take some countermeasures.Grey hazard prediction model is shown in annex.
Present system by monitoring node (1,7 three nodes install nearby) in use, be arranged on monitored crops
In field, the growth information of monitoring crops is：Crop growth nutrition and physiological ecological information, crop growth soil with it is small
Climatic information and crop growth form and Pest organism information, and the data of monitoring are passed through into Zigbee network and gateway section in real time
Point 2, and by base station 3 through GPRS network 4, Internet5 to Monitoring Data center 7.Through in the Computer Database of data center 7
Near-infrared data relationship processing model (near-infrared data model：School is carried out using existing ripe chemo metric software
Just apply afterwards) Monitoring Data can be shown after processing, while the generalized information system stored up by calculator memory, and gathered according to GPS module
Position data, have an abnormal conditions, the computer screen of data center with automatic alarm and can be sent to the calculating of the relevant personnel
Machine.While data handling system, crop growth form and the real-time monitoring node of Pest organism information, node CMOS near-infrareds
Optical sensor, mainly obtains the information such as colored set feature, the three-dimensional configuration of plant.These information Grey System Theory Models
(see annex), carries out the disastrous prediction of crop growth.
Annex
Grey Catastkophe Forecasting mathematical modeling
Define 1 and set original series
X=(x (1), x (2) ..., x (n))
The given upper limit exceptional value (catastrophe value) ξ, claims X subsequence
Xξ=(x [q (1)], x [q (2)] ..., x [q (m)])=x [q (i)] | x [q (i)] >=ξ；I=1,2 ..., m }
For upper catastrophe sequence.
Define 2 and set original series
X=(x (1), x (2) ..., x (n))
Given lower limit exceptional value (catastrophe value) ζ, claims X subsequence
Xζ=(x [q (1)], x [q (2)] ..., x [q (l)])=x [q (i)] | x [q (i)]≤ζ；I=1,2 ..., l }
For lower catastrophe sequence.
Upper catastrophe sequence and lower catastrophe sequence are referred to as catastrophe sequence.Due to complete to different catastrophe sequence Research Thinkings
Equally, in the following discussion, we do not make any distinction between to upper catastrophe sequence and lower catastrophe sequence.
Define 3 and set X as original series
For catastrophe sequence, then claim
Q(0)=(q (1), q (2) ..., q (m))
For catastrophe date sequence.
Hazard forecasting is sought to by the research to catastrophe date sequence, is found its regularity, is predicted later calamity several times
Become the date occurred, the hazard forecasting of gray system is by setting up GM (1,1) model realization to catastrophe date sequence.
4 are defined to set
Q(0)=(q (1), q (2) ..., q (m))
For catastrophe date sequence, its 1-AGO sequence is
Q(1)=(q (1)(1), q (2)(1)..., q (m)(1))
Q (1) is Z (1) close to average generation sequence, then claims
q(k)+az(1)(k)=b
For catastrophe GM (1,1).
Proposition 1 is set
For GM (1,1) sequence of the least-squares estimation of catastrophe GM (1,1) argument sequence, then catastrophe date sequence
Number response type is
I.e.
5 are defined to set
For original series, n is present moment, gives exceptional value ξ, corresponding catastrophe date sequence
Q(0)=(q (1), q (2) ..., q (m))
Wherein, q (m) (≤n) is
The date that the last catastrophe occurs, then claim
For the forecast date of catastrophe next time；
To any k ＞ 0, it is referred to as the forecast date of following kth time catastrophe.
Claims (6)
1. near-infrared crop growth information is monitored and its hazard prediction wireless system in real time, its composition includes：Crop growth
The combination monitoring node (1) of information, gateway node (2), base station (3), GPRS network (4) and Internet network (5), monitoring number
According to processing center (6), it is characterised in that：The real-time monitoring node of combination (1) composition of the crop growth information includes farming
Thing growing nutrient and physiological ecological information monitoring node, crop growth soil and miniclimate monitoring node, crop growth shape
State and Pest organism information monitoring node；Monitoring node has Large Area of Crops to monitor in real time and the monitoring two in real time of small area crops
The monitoring in real time of the structural pattern of kind, wherein Large Area of Crops is that the combination monitoring node (1) of crop growth information passes through
Zigbee network and gateway node (2), and arrive Monitoring Data through GPRS network (4), Internet network (5) by base station (3)
Processing center (6)；The monitoring in real time of small area crops is the combination monitoring node (1) of crop growth information directly by base station
(3) Monitoring Data processing center (6) is arrived through GPRS network (4), Internet network (5)；The system installs monitoring node (1)
In monitored crops field, the growth information of crops is monitored, and the data of monitoring are handled through Monitoring Data in real time
Monitoring Data can be shown after near-infrared data relationship processing model treatment in center (6) Computer Database, while by counting
The generalized information system of calculation machine memory storage, and the position data gathered according to gps data acquisition module (10), there is abnormal conditions, monitor number
According to processing center (6) computer screen can with automatic alarm and send to the relevant personnel computer；Crop growth form
With Pest organism information real-time monitoring node CMOS near infrared light sensors, the main colored set feature for obtaining crops, three
Shape information is tieed up, these information Grey System Theory Models carry out the disastrous prediction of crop growth.
2. crop growth information according to claim 1 is monitored and its hazard prediction wireless system in real time, its feature exists
In：The real-time monitoring node structure of Large Area of Crops includes crop growth information acquisition sensor (7), signal condition electricity
Road (8), CC2530 RF SoCs (9), gps data acquisition module (10), photoelectric source (12)；Gateway node (2) composition bag
Include CC2530 RF SoCs (9), ARM32 bit microprocessors (14), wind-solar power supply (15).
3. crop growth information according to claim 1 is monitored and its hazard prediction wireless system in real time, its feature exists
In：The small area crops monitoring node structure includes crop growth information acquisition sensor (7), signal conditioning circuit
(8), gps data acquisition module (10), photoelectric source (12).
4. crop growth information according to claim 1 is monitored and its hazard prediction wireless system in real time, its feature exists
In：Described crop growth nutrition includes light source (26), luminous source optical fiber (27), inspection with physiological ecological information monitoring node structure
Light-metering fibre (28), TSL245 detectors (29), crops (30), entrance slit (31), Dispersive Devices (32), array detector
(33), respectively crops can be carried out with slow reflection and transmission.
5. crop growth information according to claim 1 is monitored and its hazard prediction wireless system in real time, its feature exists
In：The multi-index monitoring data for realizing crop growth information, the result warp of correlation model are analyzed using near-infrared relational model
Precision agriculture expert system is analyzed and processed.
6. crop growth information according to claim 1 is monitored and its hazard prediction wireless system in real time, its feature exists
In：Described Grey System Theory Model is Grey Catastkophe Forecasting mathematical modeling.
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| CN105204359A (en) * | 2015-09-22 | 2015-12-30 | 波瑞电气有限公司 | Internet-of-Things terminal information collector based on remote communication of CDMA network |
| CN105245599A (en) * | 2015-10-15 | 2016-01-13 | 合肥谢尔网络科技有限公司 | Vegetable greenhouse environment monitoring system based on agricultural Internet of things |
| CN105891420A (en) * | 2016-04-08 | 2016-08-24 | 佛山市融信通企业咨询服务有限公司 | Method for intelligently analyzing plant growth states by means of big data |
| CN106197539A (en) * | 2016-06-30 | 2016-12-07 | 淮南市农康生态农业有限公司 | A kind of farmland climatic environment visualizing monitor system |
| JP6677946B2 (en) * | 2017-12-18 | 2020-04-08 | 株式会社オーガニックｎｉｃｏ | Growing condition measuring device for growing crops |
| CN108958105A (en) * | 2018-06-26 | 2018-12-07 | 合肥赑歌数据科技有限公司 | Crop growth remote diagnosis analysis based on video |
| CN109100966B (en) * | 2018-07-11 | 2021-10-22 | 西南科技大学 | Atmospheric environment monitoring system based on heterogeneous Internet of things and monitoring method thereof |
| CN109597340A (en) * | 2018-12-17 | 2019-04-09 | 珠海市研泰电子科技有限公司 | A kind of portable low power-consumption data collection and transfering system |
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