CN106054844B - A kind of agricultural intelligent remote management system - Google Patents
A kind of agricultural intelligent remote management system Download PDFInfo
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- CN106054844B CN106054844B CN201610545685.7A CN201610545685A CN106054844B CN 106054844 B CN106054844 B CN 106054844B CN 201610545685 A CN201610545685 A CN 201610545685A CN 106054844 B CN106054844 B CN 106054844B
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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], 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], computer integrated manufacturing [CIM] characterised by job scheduling, process planning, material flow
Abstract
The invention discloses a kind of agriculture intelligent remote management systems, including photographic device and artificial rain device, it is characterized in that, it further include soil moisture sensor, the three-dimensional mobile platform that is arranged on farmland, the photographic device, artificial rain device, soil moisture sensor and three-dimensional mobile platform are connected by network with Cloud Server, the Cloud Server is connected with administrator terminal and/or user terminal, and the Cloud Server also obtains module with weather forecast respectively, soil moisture management module is connected.The accuracy and timeliness that ensure that field management avoid artificially slipping and delay crop growth, effective to save time, man power and material, improve the user experience enjoyment of long-range leisure agriculture.
Description
Technical field
The present invention relates to a kind of agriculture intelligent remote management systems.
Background technique
Modern the Internet technology and cloud service and the development of big data technology, so that agricultural production is on the basis of mechanization
On further to intelligent direction change, the automatic collection of information, automatically analyze with dynamical feedback will gradually become agricultural
The normality of production.But current information-based agriculture is not combined deeply with internet also, and intelligence degree is high not enough, cannot be to agriculture
Industry information is efficiently automatically analyzed and is judged, and will analysis with judging result by internet carry out socialization share and instead
Feedback.
In traditional leisure agriculture, if user wants to understand crop growth conditions and carries out fertigation processing to crop, need
Farm is arrived in person and checks processing, not only wastes a large amount of manpower and material resources, while also not can guarantee complete management of the user to crop
With control, weaken experience of the user to leisure agriculture.
Summary of the invention
In view of the above-mentioned problems, the present invention provides a kind of agriculture intelligent remote management system, the accurate of field management ensure that
Property and timeliness, avoid artificially slipping delaying crop growth, it is effective to save time, man power and material, improve long-range stop
The user experience enjoyment of not busy agricultural.
To realize above-mentioned technical purpose and the technique effect, the invention is realized by the following technical scheme:
A kind of agricultural intelligent remote management system, including photographic device and artificial rain device, which is characterized in that further include
Soil moisture sensor, the three-dimensional mobile platform being arranged on farmland, the photographic device, artificial rain device, soil moisture
Sensor and three-dimensional mobile platform are connected by network with Cloud Server, the Cloud Server and administrator terminal and/or user
Terminal is connected, and the Cloud Server also obtains module with weather forecast respectively, soil moisture management module is connected:
The weather forecast obtains module: automatic following 7 days farms location that obtains corresponds to weather forecast, including day is most
High-temperature, Daily minimum temperature, precipitation, air pressure, sunshine and wind speed are simultaneously stored in server;
The operation of the soil moisture management module the following steps are included:
1) since after crop-planting, the weather forecast of 7 days futures and crop coefficient K based on acquisitionCCalculate crop day by day
Water requirement ETC;
2) current soil volumetric water content is obtained using soil moisture sensor, judges whether soil moisture reaches irrigation water
Lower limit:
If 2a) being higher than irrigation water lower limit, without irrigating;
If 2b) being lower than irrigation water lower limit, and pour water if being contemplated that in the phase without rainfall to need limit waterborne;
If 2c) being lower than irrigation water lower limit, and there is rainfall being contemplated that in the phase, using current date as the benchmark phase, it is assumed that 7 days
Interior precipitation occurs in jth day, then the irrigation quantity for controlling artificial rain device reaches irrigation water lower limit before rainfall.
It is preferred that the water demand of crop day by day
Wherein, KCIt is crop coefficient;RnFor net radiation, unit is MJm-2d-1, by sunshine duration calculation;G is logical for Soil Thermal
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 the difference of saturation and actual water vapor pressure, and unit is kPa;Δ is the saturation vapour pressure slope of curve,
Unit is kPa DEG C-1。
It is preferred that step 2b) in, irrigation quantity calculation 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;θTTo survey soil volume of aqueous
Rate;H is ground moistening layer depth, and unit is m;S is irrigated area, and unit is m2。
It is preferred that step 2c) in, irrigation quantity calculation formula is as follows:
Wherein, Δ W is duty, and unit is L;For since base period to the rainfall date water demand of crop it
With;θDFor soil irrigation water lower limit.
It is preferred that further including the pest management module being connected with Cloud Server, the pest management module passes through camera shooting
Device carried out scanning of once taking pictures comprehensively to crop every three days, and image data is uploaded to server automatically, based in server
Characteristics of image recognizer analysis gray value of image, the discontinuous effect of detection gray scale, setting gray threshold, identify color
Abnormal blade, feeds back to user terminal and/or administrator terminal for recognition result, determines pest and disease damage class by user or administrator
Type.
The beneficial effects of the present invention are:
The present invention passes through three-dimensional mobile platform using soil moisture sensor real-time monitoring field soil humidity, photographic device
Field crops are monitored, pest management module can monitor the pest and disease damage situation of field crops, and the data that will acquire pass through interconnection
Net realizes information exchange through Cloud Server and user terminal and administrator terminal, realizes intelligent remote management.It is removable using 360 °
Dynamic panorama camera and infrared camera, can real time inspection crop growthing state, comprehensive monitoring pest and disease damage situation realizes pest and disease damage
Prevention and treatment in time.It is automatic that the optimization farmland based on weather forecast may be implemented in soil moisture management module and artificial rain simulating device
It irrigates, scientific application of irrigation achievees the purpose that save water resource.
Detailed description of the invention
Fig. 1 is a kind of structural block diagram of agriculture intelligent remote management system of the present invention;
Fig. 2 is Farmland Water management module operational flow diagram of the present invention;
Fig. 3 is three-dimensional mobile platform of the present invention and artificial rain simulating device schematic diagram;
Fig. 4 is that schematic diagram is irrigated in rice control in the embodiment of the present invention.
Specific embodiment
Technical solution of the present invention is described in further detail with specific embodiment with reference to the accompanying drawing, so that ability
The technical staff in domain can better understand the present invention and can be practiced, but illustrated embodiment is not as to limit of the invention
It is fixed.
As shown in Figure 1, a kind of agricultural intelligent remote management system, including photographic device and artificial rain device, in general,
Panorama camera and infrared camera can be used in photographic device, and panorama camera and infrared camera are installed in three-dimensional mobile platform, three-dimensional
Mobile platform is sent out size and is adjusted according to farmland area and crop content, to adapt to the overall monitor of the normal growth periods of crop.
Artificial rain device includes spray head, battery threshold switch, water pump, aqueduct, water tank and electromagnetic flowmeter.
It further include soil moisture sensor, the three-dimensional mobile platform that is arranged on farmland, the photographic device, rain making
Device, soil moisture sensor and three-dimensional mobile platform are connected by network with Cloud Server, for example, photographic device, artificial drop
Rain device, soil moisture sensor and three-dimensional mobile platform are directly connect with embedded WiFi serial port module by data line,
WiFi serial port module accesses internet by place farm router.
Wherein, Cloud Server and administrator terminal and/or user terminal (i.e. administrator terminal and user terminal, administrator
Terminal or user terminal), weather forecast obtain module, soil moisture management module be connected, each functions of modules is as follows:
The weather forecast obtains module: automatic following 7 days farms location that obtains corresponds to weather forecast, including day is most
High-temperature, Daily minimum temperature, precipitation, air pressure, sunshine and wind speed are simultaneously stored in server;
As shown in Fig. 2, the operation of the soil moisture management module the following steps are included:
1) since after crop-planting, the weather forecast of 7 days futures and crop coefficient K based on acquisitionCCalculate crop day by day
Water requirement ETC;
It is preferred that the water demand of crop day by day
Wherein, KCIt is crop coefficient;RnFor net radiation, unit is MJm-2d-1, by sunshine duration calculation;G is logical for Soil Thermal
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 the difference of saturation and actual water vapor pressure, and unit is kPa;Δ is the saturation vapour pressure slope of curve,
Unit is kPa DEG C-1。
2) current soil volumetric water content is obtained using soil moisture sensor, judges whether soil moisture reaches irrigation water
Lower limit:
If 2a) being higher than irrigation water lower limit, without irrigating;
If 2b) being lower than irrigation water lower limit, and pour water if being contemplated that in the phase without rainfall to limit waterborne is needed, 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;θTTo survey 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) being lower than irrigation water lower limit, and there is rainfall being contemplated that in the phase, using current date as the benchmark phase, it is assumed that 7 days
Interior precipitation occurs in jth day, and for the efficient utilization for realizing precipitation, then the irrigation quantity for controlling artificial rain device reaches before rainfall
Irrigation water lower limit, irrigation quantity calculation formula are as follows:
Wherein, Δ W is duty, and unit is L;For since base period to the rainfall date water demand of crop it
With;θDFor soil irrigation water lower limit.
It further include the pest management module being connected with Cloud Server in Fig. 1, the pest management module passes through camera shooting
Device carried out scanning of once taking pictures comprehensively to crop every three days, and image data is uploaded to server automatically, based in server
Characteristics of image recognizer analysis gray value of image, the discontinuous effect of detection gray scale, setting gray threshold, identify color
Abnormal blade, feeds back to user terminal and/or administrator terminal for recognition result, determines pest and disease damage class by user or administrator
Type.
User terminal can real time inspection farm video, and control three-dimensional mobile platform, panorama camera and rainfall simulation
Device, meanwhile, soil moisture management module and pest management module feed back data processed result to user client, prompt
User carries out from main process task;Or by information feedback to administrator terminal, administrator is prompted to handle.In addition, administrator terminal
It can receive Farmland Water and pest and disease damage data, and can be communicated with user terminal, receive instruction.
By taking Fig. 3 as an example, the paddy field of long 5m, width 3m are set, three-dimensional mobile platform, length are set up according to rice field range
5.4m, width 3.4m, high 3m.As shown in Fig. 2, bar A, B, C, D are sliding rail, bar F passes through real from translator three-dimensional mobile platform structure
It is moved on present bar B, C, bar F is also used as sliding rail simultaneously, mobile for platform G, and 360 ° of panorama cameras and red are installed on platform G
Outer camera.Artificial rain device is installed additional on bar E.
Mount message transmission device, using embedded WiFi serial port module connection three-dimensional mobile platform, artificial rain device,
Panorama camera and infrared camera.Embedded WiFi serial port module accesses internet by farm location router, by data, figure
Picture, video data and soil moisture data are uploaded to Cloud Server, while three-dimensional mobile platform and rain making dress through internet
Set the teleinstruction for receiving and coming to Cloud Server.
Data memory module is constructed in server, stores soil moisture data, panorama phase from soil moisture sensor
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 obtains future 7 disclosed in China Meteorological Administration everyday according to farmland longitude and latitude, using Javascript scripting language automatically
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, the weather forecast of 7 days futures and rice based on acquisition
Crop coefficient calculates water requirement of rice ET day by dayC, current soil volume is obtained using soil moisture sensor and automatic gauge
Moisture content and current field water level control irrigation program in conjunction with the rice of Fig. 4, are irrigated.
Pest management module setting instruction, every three days (or time interval of self-setting) automatically by the road set
Diameter is automatically scanned crop and takes pictures, and high-definition image is uploaded to Cloud Server automatically.Based on the image for being built in server
Feature recognizer analysis gray value of image, the discontinuous effect of detection gray scale, setting gray threshold, identification color are abnormal
Recognition result is fed back to user terminal and administrator terminal by rice leaf, determines pest and disease damage type by user or administrator.
When field crops water requirement sends warning message and duty letter to user client lower than when irrigating lower limit
Breath, sending mode include short message and app notice, and user manipulates artificial rain device by client remote and carries out field irrigation.
Warning message is issued the user with when system senses are to pest and disease damage, user issues to farm management person and requires, and administrator receives letter
Crop is handled after breath, processing result etc. is to be feedback.
The present invention provides one kind can automatic identification plant physiology characteristic, the long-range control of real-time video monitoring, convenient management
Leisure agriculture intelligent remote management system, intelligence degree is high, and comprehensive monitoring pest and disease damage and moisture situation ensure that agricultural
Accuracy and timeliness are managed, realizes that city dweller remotely controls plant growth in real time, promotes the value and service of recreation farm
It is horizontal.
The present invention passes through three-dimensional mobile platform using soil moisture sensor real-time monitoring field soil humidity, photographic device
Field crops are monitored, pest management module can monitor the pest and disease damage situation of field crops, and the data that will acquire pass through interconnection
Net realizes information exchange through Cloud Server and user terminal and administrator terminal, realizes intelligent remote management.It is removable using 360 °
Dynamic panorama camera and infrared camera, can real time inspection crop growthing state, comprehensive monitoring pest and disease damage situation realizes pest and disease damage
Prevention and treatment in time.It is automatic that the optimization farmland based on weather forecast may be implemented in soil moisture management module and artificial rain simulating device
It irrigates, scientific application of irrigation achievees the purpose that save water resource.
The above is only a preferred embodiment of the present invention, is not intended to limit the scope of the invention, all to utilize this hair
Equivalent structure made by bright specification and accompanying drawing content perhaps equivalent process transformation or be directly or indirectly used in other correlation
Technical field, be included within the scope of the present invention.
Claims (2)
1. a kind of agricultural intelligent remote management system, including photographic device and artificial rain device, which is characterized in that further include soil
Earth moisture transducer, the three-dimensional mobile platform being arranged on farmland, the photographic device, artificial rain device, soil moisture pass
Sensor and three-dimensional mobile platform are connected by network with Cloud Server, and the Cloud Server and administrator terminal and/or user are whole
End is connected, and the Cloud Server also obtains module with weather forecast respectively, soil moisture management module is connected:
The weather forecast obtains module: automatic following 7 days farms location that obtains corresponds to weather forecast, including the day highest temperature
Degree, Daily minimum temperature, precipitation, air pressure, sunshine and wind speed are simultaneously stored in server;The operation of the soil moisture management module
The following steps are included:
1) since after crop-planting, the weather forecast of 7 days futures and crop coefficient K based on acquisitionCCalculate the water demand of crop day by day
ETC;
2) current soil volumetric water content is obtained using soil moisture sensor, judges whether soil moisture reaches under irrigation water
Limit:
If 2a) being higher than irrigation water lower limit, without irrigating;
If 2b) being lower than irrigation water lower limit, and pour water if being contemplated that in the phase without rainfall to need limit waterborne;
If 2c) being lower than irrigation water lower limit, and there is rainfall being contemplated that in the phase, using current date as the benchmark phase, it is assumed that drop in 7 days
Water occurs in jth day, then the irrigation quantity for controlling artificial rain device reaches irrigation water lower limit before rainfall;
Day by day the water demand of crop
Wherein, KCIt is crop coefficient;RnFor net radiation, unit is MJm-2d-1, by sunshine duration calculation;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;u2For the wind of 2m eminence
Speed, unit are ms-1;VPD is the difference of saturation and actual water vapor pressure, and unit is kPa;Δ is the saturation vapour pressure slope of curve, unit
It is kPa DEG C-1;
Step 2b) in, irrigation quantity calculation 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;θTTo survey volumetric soil water content;H
For ground moistening layer depth, unit is m;S is irrigated area, and unit is m2;Step 2c) in, irrigation quantity calculation formula is as follows:
Wherein, Δ W is duty, and unit is L;For since base period the sum of to the rainfall date water demand of crop;
θDFor soil irrigation water lower limit;
The photographic device is panorama camera and infrared camera;
User terminal can real time inspection farm video, and control three-dimensional mobile platform, panorama camera and artificial rain simulating device,
Meanwhile soil moisture management module and pest management module feed back data processed result to user client, prompt user
It carries out from main process task;Or by information feedback to administrator terminal, administrator is prompted to handle.
2. a kind of agriculture intelligent remote management system according to claim 1, which is characterized in that further include and Cloud Server
Connected pest management module, the pest management module carried out crop every three days by photographic device primary comprehensive
It takes pictures scanning, image data is uploaded to server automatically, analyzes image grayscale based on the characteristics of image recognizer in server
The blade that value, the discontinuous effect of detection gray scale, setting gray threshold, identification color are abnormal, feeds back to use for recognition result
Family terminal and/or administrator terminal determine pest and disease damage type by user or administrator.
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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 |
CN108319649B (en) * | 2017-12-27 | 2021-09-14 | 南瑞集团有限公司 | System and method for improving quality of water regime and water-diversion data |
CN108537851B (en) * | 2018-03-29 | 2020-09-01 | 湖南农业大学 | Detection method of soil humidity and application thereof |
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 |
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 |
CN110763268A (en) * | 2019-09-23 | 2020-02-07 | 苏州三亩良铺农业科技有限公司 | Intelligent farmland management system based on Internet of things |
CN111626892A (en) * | 2020-04-02 | 2020-09-04 | 珠海智信佰达科技有限公司 | Irrigation area water demand metering monitoring method and system |
CN112129725A (en) * | 2020-09-04 | 2020-12-25 | 浙江大学 | Spectrum correction-based vehicle-mounted plant nutrient spectrum detector |
CN113115006A (en) * | 2021-05-11 | 2021-07-13 | 苏州大学 | Stereoscopic planting video monitoring system and method |
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