CN106054844A - Intelligent remote agricultural management system - Google Patents
Intelligent remote agricultural management system Download PDFInfo
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- CN106054844A CN106054844A CN201610545685.7A CN201610545685A CN106054844A CN 106054844 A CN106054844 A CN 106054844A CN 201610545685 A CN201610545685 A CN 201610545685A CN 106054844 A CN106054844 A CN 106054844A
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- 239000002689 soil Substances 0.000 claims abstract description 51
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 38
- 241000607479 Yersinia pestis Species 0.000 claims description 25
- 230000002262 irrigation Effects 0.000 claims description 16
- 238000003973 irrigation Methods 0.000 claims description 15
- 239000003621 irrigation water Substances 0.000 claims description 15
- 201000010099 disease Diseases 0.000 claims description 14
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims description 14
- 238000000034 method Methods 0.000 claims description 10
- 238000001556 precipitation Methods 0.000 claims description 7
- 230000000694 effects Effects 0.000 claims description 5
- 238000001514 detection method Methods 0.000 claims description 4
- 230000002159 abnormal effect Effects 0.000 claims description 3
- 238000004364 calculation method Methods 0.000 claims description 3
- 238000005259 measurement Methods 0.000 claims description 3
- 230000005855 radiation Effects 0.000 claims description 3
- 229920006395 saturated elastomer Polymers 0.000 claims description 3
- 230000004907 flux Effects 0.000 claims 1
- 239000000463 material Substances 0.000 abstract description 3
- 230000008635 plant growth Effects 0.000 abstract description 2
- 235000007164 Oryza sativa Nutrition 0.000 description 8
- 230000002354 daily effect Effects 0.000 description 6
- 238000012544 monitoring process Methods 0.000 description 6
- 241000209094 Oryza Species 0.000 description 5
- 244000037666 field crops Species 0.000 description 5
- 235000009566 rice Nutrition 0.000 description 5
- 240000007594 Oryza sativa Species 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 230000012010 growth Effects 0.000 description 3
- 238000007689 inspection Methods 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000005457 optimization Methods 0.000 description 2
- 238000012271 agricultural production Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000001934 delay Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000003203 everyday effect Effects 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 230000037039 plant physiology Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Classifications
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/41865—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by job scheduling, process planning, material flow
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- Engineering & Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Manufacturing & Machinery (AREA)
- Quality & Reliability (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses an intelligent remote agricultural management system. The intelligent remote agricultural management system comprises a shooting device and an artificial rainfall device and is characterized by further comprising a soil water sensor and a three-dimensional mobile platform arranged in farmland, wherein the shooting device, the artificial rainfall device, the soil water sensor and the three-dimensional mobile platform are connected with a cloud server through the network, the cloud server is connected with an administrator terminal and/or a user terminal, and the cloud server is further separately connected with a weather forecast obtaining module and a soil water management module. According to the intelligent remote agricultural management system, accuracy and timeliness of farmland management are guaranteed, influence on plant growth caused by artificial omission can be avoided, the time, manpower and material resources are effectively saved, and user experience fun in remote leisure agriculture is improved.
Description
Technical field
The present invention relates to a kind of agricultural intelligent remote management system.
Background technology
Modern the Internet technology and cloud service and the development of big data technique so that agricultural production is on the basis of mechanization
On change to intelligent direction further, automatically the gathering of information, automatically analyze and will progressively become agricultural with dynamical feedback
The normality produced.But current information-based agriculture is not deeply combined with the Internet, and intelligence degree is the highest, it is impossible to agriculture
Industry information automatically analyzes efficiently and judges, and by analysis and judged result by the Internet carry out socialization share with instead
Feedback.
In tradition leisure agriculture, if user wants understand crop growth conditions and crop is carried out fertigation process, need
In person arrive farm and check process, not only waste substantial amounts of manpower and materials, also cannot ensure user's management completely to crop simultaneously
With control, weaken user's experience to leisure agriculture.
Summary of the invention
For the problems referred to above, the present invention provides a kind of agricultural intelligent remote management system, it is ensured that field management accurate
Property and promptness, it is to avoid artificial careless omission delays crop growth, effectively saves time, man power and material, improves and remotely stops
The Consumer's Experience enjoyment of not busy agricultural.
For realizing above-mentioned technical purpose, reaching above-mentioned technique effect, the present invention is achieved through the following technical solutions:
A kind of agricultural intelligent remote management system, including camera head and artificial rain device, it is characterised in that also include
Soil moisture sensor, the three-dimensional mobile platform being arranged on farmland, described camera head, artificial rain device, soil moisture
Sensor is connected with Cloud Server by network with three-dimensional mobile platform, described Cloud Server and administrator terminal and/or user
Terminal is connected, and described Cloud Server is connected with weather forecast acquisition module, soil moisture management module the most respectively:
Described weather forecast acquisition module: automatically obtain following location, 7 days farms correspondence weather forecast, including day
High-temperature, Daily minimum temperature, precipitation, air pressure, sunshine and wind speed are also stored in server；
The operation of described soil moisture management module comprises the following steps:
1) from the beginning of after crop-planting, based on the weather forecast in 7 days futures obtained and crop coefficient KCCalculate crop day by day
Water requirement ETC；
2) soil moisture sensor is utilized to obtain current soil volumetric water content, it is judged that whether soil moisture reaches irrigation water
Lower limit:
2a) if above irrigation water lower limit, then without irrigating；
If 2b) less than irrigation water lower limit, and it is contemplated that then pour water without rainfall in the phase to needing limit waterborne；
If 2c) less than irrigation water lower limit, and it is contemplated that there is rainfall in the phase, the phase on the basis of current date, it is assumed that 7 days
Interior precipitation occurs in jth sky, then the irrigation quantity controlling artificial rain device reaches irrigation water lower limit before rainfall.
Preferably, the water demand of crop day by day
Wherein, KCIt it is crop coefficient；RnFor net radiation, unit is MJm-2d-1, by duration calculation at sunshine；G is that Soil Thermal leads to
Amount, unit is MJm-2d-1；γ is dry and wet constant, and unit is kPa DEG C-1；T is mean daily temperature, and unit is DEG C；u2For 2m eminence
Wind speed, unit is ms-1；VPD is saturated and actual water vapor pressure difference, and unit is kPa；Δ is the saturation vapour pressure slope of curve,
Unit is kPa DEG C-1。
Preferably, step 2b) in, irrigation quantity computing formula is as follows:
Δ W=(θS-θT)H·S×1000
Wherein, Δ W is duty, and unit is L；θSFor the volumetric soil water content upper limit；θTFor actual measurement soil volume of aqueous
Rate；H is ground moistening layer depth, and unit is m；S is irrigated area, and unit is m2。
Preferably, step 2c) in, irrigation quantity computing formula is as follows:
Wherein, Δ W is duty, and unit is L；For from base period start to the rainfall date water demand of crop it
With；θDLimit under water for soil irrigation.
Preferably, also including the pest management module being connected with Cloud Server, described pest management module is by shooting
Crop was taken pictures scanning by device every three days the most comprehensively, and view data uploads onto the server automatically, based in server
Characteristics of image recognizer analyze image intensity value, detection the discontinuous effect of gray scale, arrange gray threshold, identify color occur
Abnormal blade, feeds back to recognition result user terminal and/or administrator terminal, user or manager judges pest and disease damage class
Type.
The invention has the beneficial effects as follows:
The present invention uses soil moisture sensor to monitor field soil humidity in real time, camera head passes through three-dimensional mobile platform
Monitoring field crops, pest management module can monitor the pest and disease damage situation of field crops, by the data obtained by interconnecting
It is mutual that net realizes information through Cloud Server and user terminal and administrator terminal, it is achieved intelligent remote manages.Use 360 ° can move
Dynamic panorama camera and infrared camera, can real time inspection crop growthing state, comprehensive monitoring pest and disease damage situation, it is achieved pest and disease damage
Preventing and treating in time.It is automatic that soil moisture management module and artificial rain simulating device can realize optimization farmland based on weather forecast
Irrigate, scientific application of irrigation, reach the purpose of saving water resource.
Accompanying drawing explanation
Fig. 1 is the structured flowchart of the present invention a kind of agricultural intelligent remote management system；
Fig. 2 is that Farmland Water of the present invention manages module operational flow diagram；
Fig. 3 is three-dimensional mobile platform of the present invention and artificial rain simulating device schematic diagram；
Fig. 4 is that in the embodiment of the present invention, Oryza sativa L. controls to irrigate schematic diagram.
Detailed description of the invention
With specific embodiment, technical solution of the present invention is described in further detail below in conjunction with the accompanying drawings, so that ability
The technical staff in territory can be better understood from the present invention and can be practiced, but illustrated embodiment is not as the limit to the present invention
Fixed.
It is as it is shown in figure 1, a kind of agricultural intelligent remote management system, including camera head and artificial rain device, general,
Camera head can use panorama camera and infrared camera, panorama camera and infrared camera to be installed in three-dimensional mobile platform, three-dimensional
Mobile platform is sent out size and is adjusted, to adapt to the overall monitor of the normal growth periods of crop according to farmland area and crop content.
Artificial rain device includes shower nozzle, battery valve switch, water pump, aqueduct, water tank and electromagnetic flowmeter.
Also include soil moisture sensor, the three-dimensional mobile platform being arranged on farmland, described camera head, rain making
Device, soil moisture sensor are connected with Cloud Server by network with three-dimensional mobile platform, such as, camera head, manually drop
Rain device, soil moisture sensor and three-dimensional mobile platform are directly connected with embedded WiFi serial port module by data wire,
WiFi serial port module accesses the Internet by farm, place router.
Wherein, Cloud Server and administrator terminal and/or user terminal (i.e. administrator terminal and user terminal, manager
Terminal or user terminal), weather forecast acquisition module, soil moisture management module be connected, each functions of modules is as follows:
Described weather forecast acquisition module: automatically obtain following location, 7 days farms correspondence weather forecast, including day
High-temperature, Daily minimum temperature, precipitation, air pressure, sunshine and wind speed are also stored in server；
As in figure 2 it is shown, the operation of described soil moisture management module comprises the following steps:
1) from the beginning of after crop-planting, based on the weather forecast in 7 days futures obtained and crop coefficient KCCalculate crop day by day
Water requirement ETC；
Preferably, the water demand of crop day by day
Wherein, KCIt it is crop coefficient；RnFor net radiation, unit is MJm-2d-1, by duration calculation at sunshine；G is that Soil Thermal leads to
Amount, unit is MJm-2d-1；γ is dry and wet constant, and unit is kPa DEG C-1；T is mean daily temperature, and unit is DEG C；u2For 2m eminence
Wind speed, unit is ms-1；VPD is saturated and actual water vapor pressure difference, and unit is kPa；Δ is the saturation vapour pressure slope of curve,
Unit is kPa DEG C-1。
2) soil moisture sensor is utilized to obtain current soil volumetric water content, it is judged that whether soil moisture reaches irrigation water
Lower limit:
2a) if above irrigation water lower limit, then without irrigating；
If 2b) less than irrigation water lower limit, and it is contemplated that then pour water without rainfall in the phase to needing limit waterborne, irrigation quantity calculates
Formula is as follows:
Δ W=(θS-θT)H·S×1000
Wherein, Δ W is duty, and unit is L；θSFor the volumetric soil water content upper limit；θTFor actual measurement soil volume of aqueous
Rate；H is ground moistening layer depth, and unit is m；S is irrigated area, and unit is m2。
If 2c) less than irrigation water lower limit, and it is contemplated that there is rainfall in the phase, the phase on the basis of current date, it is assumed that 7 days
Interior precipitation occurs in jth sky, and for realizing the efficient utilization of precipitation, then the irrigation quantity controlling artificial rain device reaches before rainfall
Irrigation water lower limit, irrigation quantity computing formula is as follows:
Wherein, Δ W is duty, and unit is L；For from base period start to the rainfall date water demand of crop it
With；θDLimit under water for soil irrigation.
Also including the pest management module being connected with Cloud Server in Fig. 1, described pest management module is by shooting
Crop was taken pictures scanning by device every three days the most comprehensively, and view data uploads onto the server automatically, based in server
Characteristics of image recognizer analyze image intensity value, detection the discontinuous effect of gray scale, arrange gray threshold, identify color occur
Abnormal blade, feeds back to recognition result user terminal and/or administrator terminal, user or manager judges pest and disease damage class
Type.
User terminal can real time inspection farm video, and control three-dimensional mobile platform, panorama camera and rainfall simulation
Device, meanwhile, data processed result is fed back to subscription client by soil moisture management module and pest management module, prompting
User independently processes；Or information is fed back to administrator terminal, prompting manager process.It addition, administrator terminal
Farmland Water and pest and disease damage data can be received, and can communicate with user terminal, accept instruction.
As a example by Fig. 3, arranging long 5m, the rice terrace of wide 3m, set up three-dimensional mobile platform according to rice field scope, it is long
5.4m, wide 3.4m, high 3m.Three-dimensional mobile platform structure is as in figure 2 it is shown, bar A, B, C, D are slide rail, and bar F is by real from translator
Now bar B, C are upper mobile, and bar F also serves as slide rail simultaneously, is available for platform G and moves, 360 ° of panorama cameras of installation and red on platform G
Outer camera.Bar E installs artificial rain device additional.
Mount message transmission equipment, use embedded WiFi serial port module connect three-dimensional mobile platform, artificial rain device,
Panorama camera and infrared camera.Embedded WiFi serial port module accesses the Internet by location, farm router, by data, figure
Picture, video data and soil moisture data are uploaded to Cloud Server through the Internet, simultaneously three-dimensional mobile platform and rain making dress
Put and receive the teleinstruction to Cloud Server.
Build data memory module in server, store the soil moisture data from soil moisture sensor, panorama phase
The image/video data of machine and infrared camera, data of weather forecast, pest and disease damage image feature data etc..Weather forecast simultaneously obtains
Module, according to farmland longitude and latitude, uses Javascript script automatically to obtain the future 7 disclosed in China Meteorological Administration everyday
Gas forecast data, including precipitation, max. daily temperature, Daily minimum temperature, air pressure, wind speed and sunshine etc..
Soil moisture management module brings into operation after rice transplanting, based on the weather forecast in 7 days futures obtained and Oryza sativa L.
Crop coefficient calculates water requirement of rice ET day by dayC, utilize soil moisture sensor and automatic gauge to obtain current soil volume
Moisture content and current field water level, the Oryza sativa L. in conjunction with Fig. 4 controls irrigation program, irrigates.
Pest management module arranges instruction, every three days (or the time interval arranged voluntarily) automatically by the road set
Crop is scanned taking pictures by footpath automatically, and high-definition image is uploaded to Cloud Server automatically.Based on the image being built in server
Feature identification procedure analysis chart as gray value, detection the discontinuous effect of gray scale, arrange gray threshold, identify color occur exception
Rice leaf, feeds back to user terminal and administrator terminal by recognition result, user or manager judge pest and disease damage type.
When field crops water requirement sends warning message and duty letter less than when irrigating lower limit to subscription client
Breath, sending mode includes note and app notice, and user carries out field irrigation by client remote manipulation artificial rain device.
Issuing the user with warning message when system senses to pest and disease damage, user sends requirement to farm management person, and manager receives letter
After breath processing crop, result etc. is to be feedback.
The invention provides one and can automatically identify the monitoring of plant physiology characteristic, real-time video remotely control, convenient management
Leisure agriculture intelligent remote management system, intelligence degree is high, comprehensive monitoring pest and disease damage and moisture situation, it is ensured that agricultural
Management accuracy and promptness, it is achieved urbanite controls plant growth the most in real time, promote value and the service of recreation farm
Level.
The present invention uses soil moisture sensor to monitor field soil humidity in real time, camera head passes through three-dimensional mobile platform
Monitoring field crops, pest management module can monitor the pest and disease damage situation of field crops, by the data obtained by interconnecting
It is mutual that net realizes information through Cloud Server and user terminal and administrator terminal, it is achieved intelligent remote manages.Use 360 ° can move
Dynamic panorama camera and infrared camera, can real time inspection crop growthing state, comprehensive monitoring pest and disease damage situation, it is achieved pest and disease damage
Preventing and treating in time.It is automatic that soil moisture management module and artificial rain simulating device can realize optimization farmland based on weather forecast
Irrigate, scientific application of irrigation, reach the purpose of saving water resource.
These are only the preferred embodiments of the present invention, not thereby limit the scope of the claims of the present invention, every utilize this
Equivalent structure or equivalence flow process that bright description and accompanying drawing content are made convert, or it is relevant to be directly or indirectly used in other
Technical field, be the most in like manner included in the scope of patent protection of the present invention.
Claims (7)
1. an agriculture intelligent remote management system, including camera head and artificial rain device, it is characterised in that also include soil
Earth moisture transducer, the three-dimensional mobile platform being arranged on farmland, described camera head, artificial rain device, soil moisture pass
Sensor is connected with Cloud Server by network with three-dimensional mobile platform, and described Cloud Server is whole with administrator terminal and/or user
End is connected, and described Cloud Server is connected with weather forecast acquisition module, soil moisture management module the most respectively:
Described weather forecast acquisition module: automatically obtain following location, 7 days farms correspondence weather forecast, including a day highest temperature
Degree, Daily minimum temperature, precipitation, air pressure, sunshine and wind speed are also stored in server；
The operation of described soil moisture management module comprises the following steps:
1) from the beginning of after crop-planting, based on the weather forecast in 7 days futures obtained and crop coefficient KCCalculate the water demand of crop day by day
ETC；
2) soil moisture sensor is utilized to obtain current soil volumetric water content, it is judged that whether soil moisture reaches under irrigation water
Limit:
2a) if above irrigation water lower limit, then without irrigating；
If 2b) less than irrigation water lower limit, and it is contemplated that then pour water without rainfall in the phase to needing limit waterborne；
If 2c) less than irrigation water lower limit, and it is contemplated that there is rainfall in the phase, the phase on the basis of current date, it is assumed that drop in 7 days
Water occurs in jth sky, then the irrigation quantity controlling artificial rain device reaches irrigation water lower limit before rainfall.
A kind of agricultural intelligent remote management system the most according to claim 1, it is characterised in that the water demand of crop day by day
Wherein, KCIt it is crop coefficient；RnFor net radiation, unit is MJm-2d-1, by duration calculation at sunshine；G is soil heat flux, single
Position is MJm-2d-1；γ is dry and wet constant, and unit is kPa DEG C-1；T is mean daily temperature, and unit is DEG C；u2Wind for 2m eminence
Speed, unit is ms-1；VPD is saturated and actual water vapor pressure difference, and unit is kPa；Δ is the saturation vapour pressure slope of curve, unit
It it is kPa DEG C-1。
A kind of agricultural intelligent remote management system the most according to claim 2, it is characterised in that step 2b) in, irrigation quantity
Computing formula is as follows:
Δ W=(θS-θT)H·S×1000
Wherein, Δ W is duty, and unit is L；θSFor the volumetric soil water content upper limit；θTFor actual measurement volumetric soil water content；H
For ground moistening layer depth, unit is m；S is irrigated area, and unit is m2。
A kind of agricultural intelligent remote management system the most according to claim 3, it is characterised in that step 2c) in, irrigation quantity
Computing formula is as follows:
Wherein, Δ W is duty, and unit is L；For starting to rainfall date water demand of crop sum from base period；
θDLimit under water for soil irrigation.
A kind of agricultural intelligent remote management system the most according to claim 1, it is characterised in that also include and Cloud Server
The pest management module being connected, crop was carried out the most comprehensive by camera head every three days by described pest management module
Taking pictures scanning, view data uploads onto the server automatically, analyzes gradation of image based on the characteristics of image recognizer in server
Value, the detection discontinuous effect of gray scale, gray threshold is set, identifies that color occurs abnormal blade, feed back to recognition result use
Family terminal and/or administrator terminal, judged pest and disease damage type by user or manager.
A kind of agricultural intelligent remote management system the most according to claim 1, it is characterised in that described camera head is complete
Scape camera and infrared camera.
A kind of agricultural intelligent remote management system the most according to claim 6, it is characterised in that user terminal can be looked in real time
See farm video, and control three-dimensional mobile platform, panorama camera and artificial rain simulating device, meanwhile, soil moisture management mould
Data processed result is fed back to subscription client by block and pest management module, and prompting user independently processes；Maybe will letter
Breath feeds back to administrator terminal, and prompting manager process.
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Cited By (14)
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| CN106525852A (en) * | 2016-10-28 | 2017-03-22 | 深圳前海弘稼科技有限公司 | A fruit growth period detecting method and device |
| CN108319649A (en) * | 2017-12-27 | 2018-07-24 | 南瑞集团有限公司 | A kind of system and method improving the automatic Hydrological Systems quality of data |
| CN108381560A (en) * | 2018-04-04 | 2018-08-10 | 上海顾宋智能科技有限公司 | A kind of intelligent miniature planting machines people |
| CN108415256A (en) * | 2018-04-09 | 2018-08-17 | 南京农业大学 | A kind of Cultural control system towards even Donges luminous energy chamber crop |
| CN108537851A (en) * | 2018-03-29 | 2018-09-14 | 湖南农业大学 | A kind of detection method of soil moisture and its application |
| CN109089843A (en) * | 2018-07-27 | 2018-12-28 | 安徽神州生态农业发展有限公司 | One kind being based on multidata kind of plant intelligent water feeding method |
| CN109270909A (en) * | 2018-10-30 | 2019-01-25 | 四川洪诚电气科技有限公司 | Crops supervisory systems and method based on Internet of Things |
| CN109781948A (en) * | 2019-03-04 | 2019-05-21 | 山东农业大学 | A kind of fertile recommender system of solar energy survey moisture in the soil survey |
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