CN108308005A - A kind of intelligence farm irrigation system - Google Patents
A kind of intelligence farm irrigation system Download PDFInfo
- Publication number
- CN108308005A CN108308005A CN201711459190.3A CN201711459190A CN108308005A CN 108308005 A CN108308005 A CN 108308005A CN 201711459190 A CN201711459190 A CN 201711459190A CN 108308005 A CN108308005 A CN 108308005A
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Classifications
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01G—HORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
- A01G25/00—Watering gardens, fields, sports grounds or the like
- A01G25/16—Control of watering
-
- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01G—HORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
- A01G25/00—Watering gardens, fields, sports grounds or the like
- A01G25/16—Control of watering
- A01G25/167—Control by humidity of the soil itself or of devices simulating soil or of the atmosphere; Soil humidity sensors
-
- 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
- Y02A40/22—Improving land use; Improving water use or availability; Controlling erosion
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- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Water Supply & Treatment (AREA)
- Environmental Sciences (AREA)
- Soil Sciences (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a kind of intelligent farm irrigation systems, including：Period estimates module with reference to module, data statistics module, precipitation, pour water computing module and control module of pouring water.The present invention considers rain fall when calculating irrigation quantity, is conducive to the situation that rainfall causes crop excessively flooded after avoiding irrigating.In addition, the period is monitored by setting, limit the phase buffer that crop waits for rainfall, within the time for waiting for rainfall, the primary demand that can guarantee that soil moisture disclosure satisfy that the current growth phase of crop is irrigated by early period, it waits for rainfall to provide enough bufferings for crop, has both avoided the problem in turn avoiding irrigating since rainfall is difficult to control crop irrigation problem and causing crop excessively flooded with the dual water supply of rainfall.
Description
Technical field
The present invention relates to intelligent agriculture technical field more particularly to a kind of intelligent farm irrigation systems.
Background technology
In intelligent farmland field, field irrigation accurately controls an always difficulties.This mainly has following several
Point factor：1, it is different to irrigate demand for different soils, Different Crop, different stages of growth；2, drop is must take into consideration during irrigating
Rain, meeting with rainfall after not so irrigating, to be easy to cause crop excessively flooded.
Invention content
Technical problems based on background technology, the present invention propose a kind of intelligent farm irrigation system.
A kind of intelligent farm irrigation system proposed by the present invention, including：Period is with reference to module, data statistics module, drop
Water estimates module, pour water computing module and control module of pouring water；
Period with reference to module, inside prestore the growth of various crop with reference to information, growth includes crop with reference to information
Multiple growth phases and the soil moisture threshold value in each stage；Farmland long-term cropping prestores included in the period with reference to module
Crop in；
Data statistics module be used to record each piece of farmland long-term cropping and each piece of farmland in the crop-planting time；Number
Module is connect with the period with reference to module according to statistics, for judging the current growth phase of crop according to the crop-planting time and being remembered
Record, and record the corresponding soil moisture threshold value of the current growth phase of each crop；
Precipitation estimates module, the weather forecast information of region where being used to obtain farmland by networking, and obtains pre-
If monitor the period in every day farmland unit precipitation；
It pours water computing module, connects the humidity detector for monitoring agricultural land soil humidity and obtain farmland current soil
Humidity；Computing module of pouring water is also respectively connected with precipitation and estimates module and data statistics module, for obtaining unit precipitation and each
The corresponding soil moisture threshold value in block farmland, and bonding unit precipitation, soil moisture threshold value and current soil humidity unit of account
It pours water estimated value；
It pours water control module, connects each sprinkler installed in controlled farmland, for the unit according to each piece of farmland
Estimated value of pouring water controls each sprinkler work.
Preferably, computing module of pouring water will be for that will monitor maximum unit precipitation Q1, soil moisture threshold value R0 in the period
It is substituted into current soil humidity R1 and presets computation model unit of account and pour water estimated value Q0；Computation model is：
Preferably, computational constant k=S × H × W in computation model, wherein S is the area coverage of each sprinkler, H
For preset soil water storage depth, W is the dry ground density of unit volume.
Preferably, precipitation is estimated in module the preset monitoring period and is less than or equal to 3 days.
A kind of intelligent farm irrigation system proposed by the present invention, considers rain fall, favorably when calculating irrigation quantity
The situation that rainfall causes crop excessively flooded after avoiding irrigating.In addition, monitoring the period by setting, limits crop and wait for rainfall
Phase buffer can guarantee that soil moisture disclosure satisfy that the current growth phase of crop within the time for waiting for rainfall by irrigating early period
Primary demand, for crop wait for rainfall enough bufferings are provided, both avoided since rainfall is difficult to control crop irrigation problem,
The problem in turn avoiding irrigating and the dual water supply of rainfall causes crop excessively flooded.
In addition, in the present invention, by the period with reference to data comparison in module, growth is provided for farmland long-term cropping
Reference, the especially setting of soil moisture threshold value targetedly irrigate the condition that provides the foundation for various long-term croppings in farmland；
Data statistics module calculates the growth cycle of crop to by the block similar with reference to mould with the period according to the crop-planting time
The growth phase of the crop of type is compared, and judges the current growth phase of the crop；It is pre- for each growth cycle of crop
If soil moisture threshold value, the irrigation demand realized for crop different stages of growth is irrigated, and the life to crop is conducive to
It is long to carry out intense adjustment, to improve crop yield.
Description of the drawings
Fig. 1 is a kind of intelligent farm irrigation system structure chart proposed by the present invention.
Specific implementation mode
Referring to Fig.1, a kind of intelligent farm irrigation system proposed by the present invention, including：Period is with reference to module, data statistics
Module, precipitation estimates module, pour water computing module and control module of pouring water.
Period with reference to module, inside prestore the growth of various crop with reference to information, growth includes crop with reference to information
Multiple growth phases and the soil moisture threshold value in each stage.Farmland long-term cropping prestores included in the period with reference to module
Crop in.In this way, providing growth reference for farmland long-term cropping, especially with reference to data comparison in module by the period
It is the setting of soil moisture threshold value, and the condition that provides the foundation targetedly is irrigated for various long-term croppings in farmland.
Data statistics module be used to record each piece of farmland long-term cropping and each piece of farmland in the crop-planting time.Number
Module is connect with the period with reference to module according to statistics, for judging the current growth phase of crop according to the crop-planting time and being remembered
Record, and record the corresponding soil moisture threshold value of the current growth phase of each crop.Specifically, data statistics module is according to crop-planting
Time calculates the growth cycle of crop to by being carried out pair with reference to the growth phase of the crop of mould same type in the block with the period
Than judging the current growth phase of the crop.Specifically, the period is stored with each growth phase with reference in module for various crops
Growth time, so that data statistics module quickly calculates by implantation time the current growth phase of crop.
In present embodiment, soil moisture threshold value is preset for each growth cycle of crop, is realized for crop not
Irrigation demand with growth phase is irrigated, and is conducive to the growth to crop and is carried out intense adjustment, to improve crop yield.
Precipitation estimates module, the weather forecast information of region where being used to obtain farmland by networking, and obtains pre-
If monitor the period in every day farmland unit precipitation.
It pours water computing module, connects the humidity detector for monitoring agricultural land soil humidity and obtain farmland current soil
Humidity.Computing module of pouring water is also respectively connected with precipitation and estimates module and data statistics module, for obtaining unit precipitation and each
The corresponding soil moisture threshold value in block farmland, and bonding unit precipitation, soil moisture threshold value and current soil humidity unit of account
It pours water estimated value.
Specifically, in present embodiment, computing module of pouring water will be for that will monitor maximum unit precipitation Q1, soil in the period
Earth humidity threshold R0 and current soil humidity R1, which is substituted into, to be preset computation model unit of account and pours water estimated value Q0.Computation model is：
In this way, in present embodiment, irrigation quantity is being calculated
When consider rain fall, be conducive to avoid the situation that rainfall causes crop excessively flooded after irrigating.In addition, in present embodiment, drop
Water is estimated in module the preset monitoring period and is less than or equal to 3 days.In this way, when monitoring cycle memory in rain fall, make
Object waits for the phase buffer of rainfall to be no more than three days, within the time for waiting for rainfall, can guarantee that soil is wet by irrigating early period
Degree disclosure satisfy that the primary demand of the current growth phase of crop, and enough bufferings are provided for crop waiting rainfall, both avoided by
It is difficult to control crop irrigation problem in rainfall, the problem in turn avoiding irrigating and the dual water supply of rainfall causes crop excessively flooded.
It pours water control module, connects each sprinkler installed in controlled farmland, for the unit according to each piece of farmland
Estimated value of pouring water controls each sprinkler work.
Specifically, in present embodiment, computational constant k=S × H × W in computation model, wherein S is each sprinkler
Area coverage, H be preset soil water storage depth, W be unit volume dry ground density.In present embodiment, individually to spray
As estimation target, control module of pouring water is used for the distribution according to each sprinkler and each piece of farmland for the overlay area of wetting system
Estimated value of pouring water calculate each sprinkler irrigation quantity, then control the work of each sprinkler.
The foregoing is only a preferred embodiment of the present invention, but scope of protection of the present invention is not limited thereto,
Any one skilled in the art in the technical scope disclosed by the present invention, according to the technique and scheme of the present invention and its
Inventive concept is subject to equivalent substitution or change, should be covered by the protection scope of the present invention.
Claims (4)
1. a kind of intelligence farm irrigation system, which is characterized in that including：Period is pre- with reference to module, data statistics module, precipitation
Estimate module, pour water computing module and control module of pouring water；
Period with reference to module, inside prestore the growth of various crop with reference to information, growth includes the more of crop with reference to information
The soil moisture threshold value in a growth phase and each stage；Farmland long-term cropping is included in the work to prestore with reference to module in the period
In object；
Data statistics module be used to record each piece of farmland long-term cropping and each piece of farmland in the crop-planting time；Data are united
Meter module is connect with the period with reference to module, for judging the current growth phase of crop according to the crop-planting time and being recorded,
And record the corresponding soil moisture threshold value of the current growth phase of each crop；
Precipitation estimates module, the weather forecast information of region where being used to obtain farmland by networking, and obtains default prison
Control the period in every day farmland unit precipitation；
It pours water computing module, connecting the humidity detector for monitoring agricultural land soil humidity, to obtain farmland current soil wet
Degree；Computing module of pouring water is also respectively connected with precipitation and estimates module and data statistics module, for obtaining unit precipitation and each piece
The corresponding soil moisture threshold value in farmland, and bonding unit precipitation, soil moisture threshold value and current soil humidity unit of account fill
Water estimated value；
It pours water control module, each sprinkler installed in controlled farmland is connected, for pouring water according to the unit in each piece of farmland
Estimated value controls each sprinkler work.
2. intelligence farm irrigation system as described in claim 1, which is characterized in that computing module of pouring water will be for that will monitor week
Maximum unit precipitation Q1, soil moisture threshold value R0 and current soil humidity R1, which are substituted into, in phase presets computation model unit of account
Pour water estimated value Q0；Computation model is：
3. intelligence farm irrigation system as claimed in claim 2, which is characterized in that the computational constant k=S in computation model
× H × W, wherein S is the area coverage of each sprinkler, and H is preset soil water storage depth, and W is that the dry ground of unit volume is close
Degree.
4. intelligence farm irrigation system as described in claim 1, which is characterized in that precipitation estimates preset monitoring in module
Period is less than or equal to 3 days.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711459190.3A CN108308005A (en) | 2017-12-28 | 2017-12-28 | A kind of intelligence farm irrigation system |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711459190.3A CN108308005A (en) | 2017-12-28 | 2017-12-28 | A kind of intelligence farm irrigation system |
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| CN108308005A true CN108308005A (en) | 2018-07-24 |
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| CN201711459190.3A Pending CN108308005A (en) | 2017-12-28 | 2017-12-28 | A kind of intelligence farm irrigation system |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115104515A (en) * | 2021-03-22 | 2022-09-27 | 霍君灌溉工程(上海)有限公司 | Irrigation decision cloud computing method based on rainfall utilization maximization, cloud computing platform and irrigation terminal |
| CN115399230A (en) * | 2021-05-27 | 2022-11-29 | 台湾中华电信股份有限公司 | Farmland irrigation method and system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115104515A (en) * | 2021-03-22 | 2022-09-27 | 霍君灌溉工程(上海)有限公司 | Irrigation decision cloud computing method based on rainfall utilization maximization, cloud computing platform and irrigation terminal |
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| CN115399230A (en) * | 2021-05-27 | 2022-11-29 | 台湾中华电信股份有限公司 | Farmland irrigation method and system |
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Application publication date: 20180724 |
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