CN115221711A - Irrigation water consumption accurate calculation method and device suitable for embedded equipment - Google Patents
Irrigation water consumption accurate calculation method and device suitable for embedded equipment Download PDFInfo
- Publication number
- CN115221711A CN115221711A CN202210860792.4A CN202210860792A CN115221711A CN 115221711 A CN115221711 A CN 115221711A CN 202210860792 A CN202210860792 A CN 202210860792A CN 115221711 A CN115221711 A CN 115221711A
- Authority
- CN
- China
- Prior art keywords
- soil
- irrigation
- water
- variable
- content
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 239000003621 irrigation water Substances 0.000 title claims abstract description 51
- 238000004364 calculation method Methods 0.000 title claims abstract description 40
- 239000002689 soil Substances 0.000 claims abstract description 175
- 238000003973 irrigation Methods 0.000 claims abstract description 104
- 230000002262 irrigation Effects 0.000 claims abstract description 103
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 92
- 238000000034 method Methods 0.000 claims abstract description 26
- 239000004576 sand Substances 0.000 claims abstract description 19
- 239000004927 clay Substances 0.000 claims abstract description 18
- 239000005416 organic matter Substances 0.000 claims abstract description 13
- 229920006395 saturated elastomer Polymers 0.000 claims description 13
- 230000008595 infiltration Effects 0.000 claims description 3
- 238000001764 infiltration Methods 0.000 claims description 3
- 230000035699 permeability Effects 0.000 claims description 2
- NAWXUBYGYWOOIX-SFHVURJKSA-N (2s)-2-[[4-[2-(2,4-diaminoquinazolin-6-yl)ethyl]benzoyl]amino]-4-methylidenepentanedioic acid Chemical compound C1=CC2=NC(N)=NC(N)=C2C=C1CCC1=CC=C(C(=O)N[C@@H](CC(=C)C(O)=O)C(O)=O)C=C1 NAWXUBYGYWOOIX-SFHVURJKSA-N 0.000 claims 1
- 230000035515 penetration Effects 0.000 abstract description 4
- 238000010586 diagram Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000002360 preparation method Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000005056 compaction Methods 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 230000008020 evaporation Effects 0.000 description 1
- 238000001704 evaporation Methods 0.000 description 1
- 239000003337 fertilizer Substances 0.000 description 1
- 238000003895 groundwater pollution Methods 0.000 description 1
- 230000012010 growth Effects 0.000 description 1
- 238000011545 laboratory measurement Methods 0.000 description 1
- 238000002386 leaching Methods 0.000 description 1
- -1 loam Substances 0.000 description 1
- 230000005012 migration Effects 0.000 description 1
- 238000013508 migration Methods 0.000 description 1
- 238000012821 model calculation Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012806 monitoring device Methods 0.000 description 1
- 235000015097 nutrients Nutrition 0.000 description 1
- 230000008635 plant growth Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000005096 rolling process Methods 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
- 238000003860 storage Methods 0.000 description 1
- 239000010902 straw Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 239000013589 supplement Substances 0.000 description 1
- 230000005068 transpiration Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/02—Agriculture; Fishing; Forestry; Mining
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- Mining & Mineral Resources (AREA)
- Health & Medical Sciences (AREA)
- Geometry (AREA)
- Life Sciences & Earth Sciences (AREA)
- Agronomy & Crop Science (AREA)
- Animal Husbandry (AREA)
- Marine Sciences & Fisheries (AREA)
- Evolutionary Computation (AREA)
- Computer Hardware Design (AREA)
- General Engineering & Computer Science (AREA)
- Economics (AREA)
- General Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Investigating Or Analyzing Materials By The Use Of Electric Means (AREA)
- Cultivation Of Plants (AREA)
Abstract
The invention provides an irrigation water consumption accurate calculation method and device suitable for embedded equipment. The method comprises the following steps: setting a first-level variable, wherein the first-level variable refers to a parameter for expressing the basic physicochemical property of soil, and comprises the sand content, the clay content, the organic matter content and the porosity of the soil; calculating to obtain a secondary variable according to the primary variable, wherein the secondary variable is a parameter for reflecting the soil moisture characteristics; the secondary variables comprise crop wilting points, field water capacity, soil volume weight and soil penetration rate; determining irrigation equipment, and calculating according to rated technical parameters and secondary variables of the irrigation equipment to obtain a tertiary variable, wherein the tertiary variable is a parameter for representing the irrigation degree; the three-level variables comprise irrigation water consumption, irrigation duration, irrigation intensity and irrigation depth.
Description
Technical Field
The invention relates to the technical field of agricultural water-saving irrigation, in particular to a method and a device for accurately calculating irrigation water consumption of embedded equipment.
Background
The commonly used method for calculating the irrigation water consumption of water-saving irrigation at present mainly utilizes a water balance principle to determine the irrigation water consumption according to the numerical value of a sensor, future meteorological data, historical irrigation data, soil moisture supplement amount, crop evaporation and transpiration amount and the like; the method mainly has the following two problems: (1) The influence of different soil qualities on plant growth and water circulation is not fully considered (in a part of model algorithms, only soil volume weight indexes are considered), even not considered; however, in water-saving irrigation, the soil composition has a decisive effect on the irrigation water consumption, for example in sandy land as opposed to clayey land. The irrigation quantity calculation method only considering the soil volume weight index has the advantages that the volume weight variation of the soil is large after operations such as cultivation, rainfall, irrigation, straw returning and the like, the data fluctuation change is large easily caused by using the soil volume weight calculation, and the accuracy of the irrigation water consumption calculation cannot be ensured. In this case, the agricultural producer usually uses the over-irrigation method to ensure the sufficient amount of irrigation. Although the method solves the problem of insufficient irrigation quantity possibly caused by inaccurate model calculation, the irrigation water consumption is obviously increased after the method is used, and on one hand, the excessive use of water resources is caused; on the other hand, the leaching of soil nutrient fertilizers is easy to cause, the migration to deep soil layers is easy to cause shallow groundwater pollution. (2) The method is not suitable for being deployed in an embedded system and cannot guide control equipment to carry out irrigation automatically.
Disclosure of Invention
Aiming at the problems that the traditional irrigation water consumption calculation method does not fully consider the influence of soil components and is not suitable for being deployed in an irrigation control system, the invention provides the irrigation water consumption accurate calculation method and device suitable for embedded equipment.
In one aspect, the invention provides a method for accurately calculating the amount of irrigation water suitable for an embedded device, which comprises the following steps:
setting a first-level variable, wherein the first-level variable refers to a parameter for expressing the basic physicochemical property of soil, and comprises the sand content, the clay content, the organic matter content and the porosity of the soil;
calculating to obtain a secondary variable according to the primary variable, wherein the secondary variable is a parameter for reflecting soil moisture characteristics; the secondary variables comprise crop wilting points, field water capacity, soil volume weight and soil penetration rate;
determining irrigation equipment, and calculating according to rated technical parameters of the irrigation equipment and the secondary variables to obtain tertiary variables, wherein the tertiary variables refer to parameters for representing the irrigation degree; the three-level variables comprise irrigation water consumption, irrigation duration, irrigation intensity and irrigation depth.
Further, the method also comprises the following steps: and generating a four-level variable according to the three-level variable, wherein the four-level variable is a control parameter of the irrigation equipment, and the control parameter of the irrigation equipment is used for controlling the opening and closing of the water pump, the opening and closing of the electromagnetic valve and the power and opening and closing of the frequency converter.
Further, the formula (1) is constructed as the crop wilting point F L The calculation formula of (2):
F L ＝θ S1 W S +θ C1 W C +θ O1 W O +θ SC1 W S W C +θ CO1 W C W O +θ SO1 W S W O +θ 1 (1)
constructing a formula (2) as a field water capacity F T The calculation formula of (2):
F T ＝θ S2 W S +θ C2 W C +θ O2 W O +θ SC2 W S W C +θ CO2 W C W O +θ SO2 W S W O +θ 2 (2)
constructing a formula (3) as a soil saturated water content F B The calculation formula of (2):
F B ＝θ S3 W S +θ C3 W C +θ O3 W O +θ SC3 W S W C +θ CO3 W C W O +θ SO3 W S W O +θ 3 (3)
wherein, W S 、W C And W O Respectively representing the sand content, the clay content and the organic matter content of the soil; theta S1 、θ C1 、θ O1 、θ SC1 、θ CO1 And theta SO1 Respectively showing the adjustment coefficients, theta, of the corresponding soil components under the first soil water potential 1 Representing a soil moisture value at a first soil water potential; theta S2 、θ C2 、θ O2 、θ SC2 、θ CO2 And theta SO2 Respectively showing the adjustment coefficients, theta, of the corresponding soil components under the second soil water potential 2 Representing a soil moisture value at a second soil water potential; theta S3 、θ C3 、θ O3 、θ SC3 、θ CO3 And theta SO3 Respectively showing the adjustment coefficients, theta, of the corresponding soil components under the third soil water potential 3 Representing the soil moisture value at a third soil water potential.
Further, the formula (4) is constructed as a calculation formula of the soil volume weight:
ρ b ＝(αF T 2 +βF T +γF B +θW S +K 1 )P (4)
wherein, F T Expressing the field water capacity, alpha and beta expressing the calculated coefficient of the field water capacity, and gamma expressing soilThe calculation coefficient of the saturated water content of the soil, theta is the calculation coefficient of the sand content, K 1 For adjusting the coefficient, P is a calculation coefficient of the porosity of the soil.
Further, formula (5) is constructed as a calculation formula of the soil penetration rate V:
wherein P is the calculated coefficient of the porosity of the soil, F T Representing the field water capacity, beta is the calculation coefficient of the field water capacity,
as a calculation coefficient of the volume weight of the soil, K 2 To adjust the coefficients.
Further, the irrigation water amount is calculated according to equations (6) and (7):
I i ＝SHρ b (P t -P c ) (7)
wherein, I 0 For irrigation water consumption, I i The irrigation water consumption of the ith layer of soil is shown, S is the area required to be irrigated by the ith layer of soil, H is the depth of the ith layer of soil, and rho b Is the current soil bulk weight, P t Target moisture of the soil, P c The current soil moisture content and water content.
Further, the irrigation time period T is calculated according to equation (8):
wherein, I 0 Q is the flow rate of irrigation equipment.
Further, the irrigation intensity I is calculated according to equation (9):
I＝λ*I 0 /V (9)
wherein λ represents irrigation intensity coefficient, I 0 The water consumption for irrigation is shown in V, and the soil permeation speed is shown in V.
Further, the irrigation depth D is calculated according to equation (10):
wherein V is the soil permeation rate, T is the irrigation duration, pc is the current soil moisture content and water content, and F B Is saturated water content.
In another aspect, the present invention further provides an apparatus for accurately calculating the amount of irrigation water suitable for an embedded device, including:
the primary variable module is used for setting primary variables, the primary variables refer to parameters for expressing the basic physicochemical properties of the soil, and the primary variables comprise the sand content, the clay content, the organic matter content and the porosity of the soil;
the secondary variable module is used for calculating to obtain a secondary variable according to the primary variable, wherein the secondary variable is a parameter for reflecting soil moisture characteristics; the secondary variables comprise crop wilting points, field water capacity, soil volume weight and soil infiltration speed;
the three-level variable module is used for calculating to obtain a three-level variable according to the rated technical parameter of the given irrigation equipment and the secondary variable, and the three-level variable is a parameter for representing the irrigation degree; the three-level variables comprise irrigation water consumption, irrigation duration, irrigation intensity and irrigation depth;
and the control parameter generation module is used for generating control parameters of the irrigation equipment according to the three-level variable, and the control parameters of the irrigation equipment are used for controlling the opening and closing of the water pump, the opening and closing of the electromagnetic valve and the power and opening and closing of the frequency converter.
The invention has the beneficial effects that:
(1) In the traditional mode, only the numerical value of the soil moisture sensor is taken as the standard for calculating the irrigation water consumption, and the great difference of different soil qualities on wilting points, field water holding capacity and soil water storage capacity is not considered.
(2) The invention can generate control instructions suitable for being executed by irrigation equipment and is suitable for being embedded into an irrigation control system.
Drawings
Fig. 1 is a schematic flow chart of a method for accurately calculating the amount of irrigation water suitable for an embedded device according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of an apparatus for accurately calculating the amount of irrigation water suitable for an embedded device according to an embodiment of the present invention;
fig. 3 is a schematic work flow diagram of an apparatus for accurately calculating the amount of irrigation water suitable for an embedded device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly described below with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
Example 1
As shown in fig. 1, an embodiment of the present invention provides a method for accurately calculating an amount of irrigation water suitable for an embedded device, including:
s101: setting a first-level variable, wherein the first-level variable refers to a parameter for expressing the basic physicochemical property of soil, and comprises the sand content, the clay content, the organic matter content and the porosity of the soil;
specifically, the sand content, the clay content and the organic matter content are mass content percentages, the standard state of the porosity is a pre-ploughing state, and the standard value is marked as 1. Wherein the porosity is irrelevant with soil texture, only is relevant with soil looseness, compaction degree, and the factor that influences the porosity parameter mainly includes: ploughing, rainfall, rolling, etc.
The first-order variables are obtained mainly by the input of a user, such as the input of the mass content percentage of sand, the mass content percentage of clay, the mass content percentage of organic matters and the porosity coefficient in soil.
In addition, in order to facilitate users to input soil components more quickly and accurately, in practical application, a data pre-preparation model can be built on an application layer, soil components with different soil textures are refined, and the pre-preparation soil model comprises but is not limited to the following soil textures: the characteristics of sandy soil, clay, loam, clay loam, sandy clay, silt-containing silt and the like are listed, and expression forms with high and low component contents in different soil qualities are listed for users to finely adjust the soil components.
A user can determine the content of each component in the soil by different methods such as experience, soil screening, laboratory analysis and the like. Or corresponding components are quickly input through a prefabricated soil model, then the sizes of the content expression forms of different soil components are adjusted according to listed soil, and the content condition of the current components is finely adjusted, so that the consistency of the proportion of each component and the true value is higher under the condition that laboratory measurement is not carried out.
In the step, the mode of different component distribution ratios is used, so that the result deviation caused by the input deviation of each component can be greatly reduced, and the accuracy of the calculation process of the subsequent variables is ensured.
S102: calculating to obtain a secondary variable according to the primary variable, wherein the secondary variable is a parameter for reflecting soil moisture characteristics; the secondary variables comprise crop wilting points, field water capacity, soil volume weight and soil penetration rate;
specifically, before the second-level variable calculation model is established, a soil water potential sensor is used for measuring the influence of different soil humidity on the water potential, and specific characteristic data required by the model is collected. And (4) demarcating water quality with the saturated water content of less than 10kpa, water potential with the field water capacity of 30kpa and water potential at a permanent wilting point of 1500kpa according to the soil water potential. And constructing the mass water content percentages of the soil with different soil qualities at the time of saturated water content, field water holding capacity and permanent wilting point according to the different soil quality contents in the soil. Wherein the soil component is based on three components of sand, clay and organic matters.
As an implementation mode, the formula (1) is constructed as the wilting point F of the crop L The calculation formula of (2):
F L ＝θ S1 W S +θ C1 W C +θ O1 W O +θ SC1 W S W C +θ CO1 W C W O +θ SO1 W S W O +θ 1 (1)
wherein, W S 、W C And W O Respectively representing the sand content, the clay content and the organic matter content of the soil; theta S1 、θ C1 、θ O1 、θ SC1 、θ CO1 And theta SO1 Respectively showing the adjustment coefficients, theta, of the corresponding soil components under the first soil water potential 1 Representing the soil moisture value at the first soil water potential. In the embodiment of the invention, the first soil water potential is 1500Kpa.
Constructing a formula (2) as a field water capacity F T The calculation formula of (c):
F T ＝θ S2 W S +θ C2 W C +θ O2 W O +θ SC2 W S W C +θ CO2 W C W O +θ SO2 W S W O +θ 2 (2)
wherein, W S 、W C And W O Respectively representing the sand content, the clay content and the organic matter content of the soil; theta.theta. S2 、θ C2 、θ O2 、θ SC2 、θ CO2 And theta SO2 Respectively showing the adjustment coefficients, theta, of the corresponding soil components under the second soil water potential 2 Representing the soil moisture value at the second soil water potential. In the embodiment of the invention, the water potential of the second soil is 30KPa.
Constructing a formula (3) as the saturated water content F of the soil B The calculation formula of (2):
F B ＝θ S3 W S +θ C3 W C +θ O3 W O +θ SC3 W S W C +θ CO3 W C W O +θ SO3 W S W O +θ 3 (3)
wherein, W S 、W C And W O Respectively representing the sand content, the clay content and the organic matter content of the soil; theta S3 、θ C3 、θ O3 、θ SC3 、θ CO3 And theta SO3 Respectively showing the adjustment coefficients of the corresponding soil components under the water potential of the third soil, theta 3 Indicating the soil moisture value at the third soil water potential. In the embodiment of the invention, the water potential of the third soil is 10KPa.
Constructing a formula (4) as a calculation formula of the soil volume weight:
ρ b ＝(αF T 2 +βF T +γF B +θW S +K 1 )P (4)
wherein, F T Expressing the field water capacity, alpha and beta expressing the calculation coefficient of the field water capacity, gamma expressing the saturated water content of the soil, theta expressing the calculation coefficient of the sand content, and K 1 For adjusting the coefficient, P is a calculation coefficient of the porosity of the soil.
Constructing a formula (5) as a calculation formula of the soil permeability speed V:
wherein P is the calculated coefficient of the porosity of the soil, F T Representing the field water capacity, beta is the calculation coefficient of the field water capacity,
is the calculated coefficient of the soil volume weight, K 2 To adjust the coefficients.
S103: determining irrigation equipment, and calculating according to rated technical parameters of the irrigation equipment and the secondary variables to obtain tertiary variables, wherein the tertiary variables refer to parameters for representing the irrigation degree; the three-level variables comprise irrigation water consumption, irrigation duration, irrigation intensity and irrigation depth;
specifically, the irrigation water amount is calculated according to equations (6) and (7):
I i ＝SHρ b (P t -P c ) (7)
wherein, I 0 For the amount of irrigation water, I i The irrigation water consumption of the ith layer of soil is shown, S is the area required to be irrigated by the ith layer of soil, H is the depth of the ith layer of soil, and rho b Is the current soil volume weight, P t Target humidity of soil, P c The water content of the current soil moisture can be acquired by a sensor.
In addition, the main source of the soil target humidity is determined according to the relevant standards such as national standard for water-saving irrigation, landmark and the like or according to the optimal value of crop growth, and if the soil target humidity is the relative water content of soil, the following formula is used for conversion:
P t ＝F B R t
in the above formula, F B To a saturated water content, R t Is a recommended value for relative water content.
Calculating the irrigation time length T according to the formula (8):
wherein, I 0 For irrigation water usage, Q is the flow rate of the irrigation equipment.
Calculating irrigation intensity I, also called optimal irrigation flow rate, according to equation (9):
I＝λ*I 0 /V (9)
wherein λ represents irrigation intensity coefficient, I 0 The water consumption for irrigation is shown, and V is the soil permeation rate.
Specifically, the irrigation intensity I mainly indicates the irrigation flow rate during irrigation, and surface runoff is easily generated if the flow rate is too high, so that the effect of water-saving irrigation cannot be achieved; if the flow is too small during irrigation, the irrigation time is too long, and the irrigation efficiency is influenced. In the embodiment of the invention, the value range of lambda is generally selected to be 1.2-1.5.
Calculating irrigation depth D according to equation (10):
wherein V is the soil permeation rate, T is the irrigation duration, pc is the current soil moisture content and water content, and F B Is saturated water content.
According to the method for accurately calculating the irrigation water consumption, the modeling is carried out according to the relation between the soil components and the water consumption, a model of the influence of different components on the soil irrigation water consumption is constructed, and the calculation accuracy of the irrigation water consumption is greatly improved.
It should be noted that the method provided by the invention only calculates parameters such as irrigation quantity under the current soil moisture content, and does not consider external data such as future rainfall.
Example 2
On the basis of the above embodiment, as shown in fig. 1, in order to further implement intelligent operation of irrigation operation, the embodiment of the present invention further includes step S104:
s104: and generating a four-level variable according to the three-level variable, wherein the four-level variable is a control parameter of irrigation equipment, and the control parameter of the irrigation equipment is used for controlling the opening and closing of a water pump, the opening and closing of an electromagnetic valve and the power and opening and closing of a frequency converter.
Specifically, the water pump is generally a direct control type water pump and a frequency converter controlled water pump, and according to the difference of the land size and the soil type of irrigation operation, the system operates the opening or closing of the water pump, the frequency converter, the electromagnetic valve and other equipment according to control parameters, so as to realize the intelligent operation of the irrigation operation.
Example 3
As shown in fig. 2, an embodiment of the present invention provides an apparatus for accurately calculating the amount of irrigation water suitable for an embedded device, including: the system comprises a first-stage variable module, a second-stage variable module, a third-stage variable module and a fourth-stage variable module;
the first-level variable module is used for setting first-level variables, the first-level variables refer to parameters for expressing basic physicochemical properties of soil, and the first-level variables comprise sand content, clay content, organic matter content and porosity of the soil. The secondary variable module is used for calculating to obtain a secondary variable according to the primary variable, wherein the secondary variable is a parameter for reflecting soil moisture characteristics; the secondary variables include crop wilting point, field water capacity, soil volume weight, and soil permeation rate. The three-level variable module is used for calculating to obtain a three-level variable according to the rated technical parameter of the given irrigation equipment and the secondary variable, wherein the three-level variable is a parameter for representing the irrigation degree; the three-level variables comprise irrigation water consumption, irrigation duration, irrigation intensity and irrigation depth. The four-level variable module is used for generating four-level variables according to the three-level variables, the four-level variables refer to control parameters of irrigation equipment, and the control parameters of the irrigation equipment are used for controlling the opening and closing of the water pump, the opening and closing of the electromagnetic valve and the power and opening and closing of the frequency converter.
Specifically, after the device is operated, secondary variables such as soil volume weight and the like are calculated according to soil component information, the calculated secondary variables are stored in the device, and soil component parameters can be directly used without being changed. As shown in figure 3, each time irrigation operation is started, the device generates a third-level variable with guiding significance by combining a secondary variable with the value of a current soil moisture sensor. The three-level variable belongs to a target variable and mainly indicates the irrigation target of the system, and irrigation equipment cannot be directly operated, so that the four-level variable of the operable irrigation equipment is generated by combining information (including plot information and irrigation equipment parameter information) of user data on the basis of the three-level variable, and then whether irrigation operation is finished is judged by judging whether the state of the monitoring device reaches the four-level variable parameter value.
It should be noted that the device for accurately calculating the amount of irrigation water suitable for the embedded device provided by the embodiment of the present invention is for implementing the method embodiment, and specific reference may be made to the method embodiment for functions thereof, which are not described herein again.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, and not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. An accurate calculation method for irrigation water consumption suitable for an embedded device is characterized by comprising the following steps:
setting a primary variable, wherein the primary variable is a parameter for expressing the basic physicochemical property of soil, and the primary variable comprises the sand content, the clay content, the organic matter content and the porosity of the soil;
calculating to obtain a secondary variable according to the primary variable, wherein the secondary variable is a parameter for reflecting soil moisture characteristics; the secondary variables comprise crop wilting points, field water capacity, soil volume weight and soil infiltration speed;
determining irrigation equipment, and calculating to obtain a tertiary variable according to rated technical parameters of the irrigation equipment and the secondary variable, wherein the tertiary variable is a parameter for representing the irrigation degree; the three-level variable comprises irrigation water consumption, irrigation duration, irrigation intensity and irrigation depth.
2. The method for accurately calculating the amount of irrigation water suitable for the embedded device according to claim 1, further comprising: and generating a four-level variable according to the three-level variable, wherein the four-level variable is a control parameter of irrigation equipment, and the control parameter of the irrigation equipment is used for controlling the opening and closing of a water pump, the opening and closing of an electromagnetic valve and the power and opening and closing of a frequency converter.
3. The method for accurately calculating the irrigation water consumption of embedded equipment according to claim 1, wherein the formula (1) is constructed as a crop wilting point F L The calculation formula of (2):
F L ＝θ S1 W S +θ C1 W C +θ O1 W O +θ SC1 W S W C +θ CO1 W C W O +θ SO1 W S W O +θ 1 (1)
constructing a formula (2) as a field water capacity F T The calculation formula of (2):
F T ＝θ S2 W S +θ C2 W C +θ O2 W O +θ SC2 W S W C +θ CO2 W C W O +θ SO2 W S W O +θ 2 (2)
constructing a formula (3) as the saturated water content F of the soil B The calculation formula of (2):
F B ＝θ S3 W S +θ C3 W C +θ O3 W O +θ SC3 W S W C +θ CO3 W C W O +θ SO3 W S W O +θ 3 (3)
wherein, W S 、W C And W O Respectively representing the sand content, the clay content and the organic matter content of the soil; theta S1 、θ C1 、θ O1 、θ SC1 、θ CO1 And theta SO1 Respectively showing the adjustment coefficients, theta, of the corresponding soil components under the first soil water potential 1 Representing a soil moisture value at a first soil water potential; theta S2 、θ C2 、θ O2 、θ SC2 、θ CO2 And theta SO2 Respectively showing the adjustment coefficients, theta, of the corresponding soil components under the second soil water potential 2 Representing a soil moisture value at a second soil water potential; theta S3 、θ C3 、θ O3 、θ SC3 、θ CO3 And theta SO3 Respectively showing the adjustment coefficients of the corresponding soil components under the water potential of the third soil, theta 3 Indicating the soil moisture value at the third soil water potential.
4. The method for accurately calculating the irrigation water consumption of the embedded equipment according to claim 1, wherein a formula (4) is constructed as a calculation formula of the volume weight of the soil:
ρ b ＝(αF T 2 +βF T +γF B +θW S +K 1 )P (4)
wherein, F T Denotes the field Water holding Capacity, F B Represents the saturated water content, W S Expressing the sand content of the soil, alpha and beta expressing the calculation coefficient of the field water holding capacity, gamma expressing the saturated water content, theta expressing the calculation coefficient of the sand content, K 1 For adjusting the coefficient, P is the calculated coefficient of the porosity of the soil.
5. The method for accurately calculating the irrigation water consumption of embedded equipment according to claim 1, wherein a formula (5) is constructed as a calculation formula of the soil permeability V:
wherein P is the calculated coefficient of the porosity of the soil, F T Representing the field water capacity, beta is the calculation coefficient of the field water capacity,
as a calculation coefficient of the volume weight of the soil, K 2 To adjust the coefficients.
6. The method for accurately calculating the irrigation water consumption of embedded equipment according to claim 1, wherein the irrigation water consumption is calculated according to the following formulas (6) and (7):
I i ＝SHρ b (P t -P c ) (7)
wherein, I 0 For the amount of irrigation water, I i The irrigation water consumption of the ith layer of soil is shown, S is the area required to be irrigated by the ith layer of soil, H is the depth of the ith layer of soil, and rho b Is the current soil volume weight, P t Target moisture of the soil, P c The current soil moisture content and water content.
7. The method for accurately calculating the irrigation water consumption of the embedded device according to claim 1, wherein the irrigation time length T is calculated according to a formula (8):
wherein, I 0 For irrigation water usage, Q is the flow rate of the irrigation equipment.
8. The method for accurately calculating the irrigation water consumption of the embedded device according to claim 1, wherein the irrigation intensity I is calculated according to formula (9):
I＝λ*I 0 /V (9)
wherein λ represents irrigation intensity coefficient, I 0 The water consumption for irrigation is shown, and V is the soil permeation rate.
9. The method for accurately calculating the irrigation water consumption of the embedded device according to claim 1, wherein the irrigation depth D is calculated according to the formula (10):
wherein V is the soil permeation rate, T is the irrigation duration, pc is the current soil moisture content and water content, and F B Is saturated water content.
10. An accurate computing device of irrigation water volume suitable for embedded equipment, its characterized in that includes:
the primary variable module is used for setting primary variables, the primary variables refer to parameters for expressing the basic physicochemical properties of the soil, and the primary variables comprise the sand content, the clay content, the organic matter content and the porosity of the soil;
the secondary variable module is used for calculating to obtain a secondary variable according to the primary variable, wherein the secondary variable is a parameter for reflecting soil moisture characteristics; the secondary variables comprise crop wilting points, field water capacity, soil volume weight and soil infiltration speed;
the three-level variable module is used for calculating to obtain a three-level variable according to rated technical parameters of given irrigation equipment and the secondary variable, wherein the three-level variable is a parameter for representing the irrigation degree; the three-level variables comprise irrigation water consumption, irrigation duration, irrigation intensity and irrigation depth;
and the control parameter generation module is used for generating control parameters of the irrigation equipment according to the three-level variable, and the control parameters of the irrigation equipment are used for controlling the opening and closing of the water pump, the opening and closing of the electromagnetic valve and the power and opening and closing of the frequency converter.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210860792.4A CN115221711B (en) | 2022-07-21 | 2022-07-21 | Accurate calculation method and device for irrigation water consumption suitable for embedded equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210860792.4A CN115221711B (en) | 2022-07-21 | 2022-07-21 | Accurate calculation method and device for irrigation water consumption suitable for embedded equipment |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115221711A true CN115221711A (en) | 2022-10-21 |
| CN115221711B CN115221711B (en) | 2023-07-11 |
Family
ID=83614341
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210860792.4A Active CN115221711B (en) | 2022-07-21 | 2022-07-21 | Accurate calculation method and device for irrigation water consumption suitable for embedded equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115221711B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116831015A (en) * | 2023-07-27 | 2023-10-03 | 易维集控(北京)园林科技有限公司 | Decision-making method, system and computing equipment for scientific water conservation of autonomous irrigation |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20170038749A1 (en) * | 2015-08-05 | 2017-02-09 | Iteris, Inc. | Customized land surface modeling for irrigation decision support in a crop and agronomic advisory service in precision agriculture |
| CN109819882A (en) * | 2019-01-17 | 2019-05-31 | 固安京蓝云科技有限公司 | Determine the method and device of irrigation program |
| CN111492959A (en) * | 2020-06-02 | 2020-08-07 | 山东贵合信息科技有限公司 | Irrigation method and equipment based on Internet of things |
| CN111742825A (en) * | 2020-05-25 | 2020-10-09 | 华北水利水电大学 | Construction and application of farmland accurate irrigation control model |
| US20220030786A1 (en) * | 2020-07-31 | 2022-02-03 | FarmX Inc. | Systems Providing Irrigation Optimization Using Sensor Networks and Soil Moisture Modeling |
-
2022
- 2022-07-21 CN CN202210860792.4A patent/CN115221711B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20170038749A1 (en) * | 2015-08-05 | 2017-02-09 | Iteris, Inc. | Customized land surface modeling for irrigation decision support in a crop and agronomic advisory service in precision agriculture |
| CN109819882A (en) * | 2019-01-17 | 2019-05-31 | 固安京蓝云科技有限公司 | Determine the method and device of irrigation program |
| CN111742825A (en) * | 2020-05-25 | 2020-10-09 | 华北水利水电大学 | Construction and application of farmland accurate irrigation control model |
| CN111492959A (en) * | 2020-06-02 | 2020-08-07 | 山东贵合信息科技有限公司 | Irrigation method and equipment based on Internet of things |
| US20220030786A1 (en) * | 2020-07-31 | 2022-02-03 | FarmX Inc. | Systems Providing Irrigation Optimization Using Sensor Networks and Soil Moisture Modeling |
Non-Patent Citations (3)
| Title |
|---|
| GHULAM MUSTAFA .ETC: "\"Hyperspectral Reflectance Proxies to Diagnose In-Field Fusarium Head Blight in Wheat with Machine Learning\"", 《REMOTE SENSING》, vol. 14, no. 12, pages 1 - 24 * |
| K K NAMALA .ETC: ""Smart irrigation with embedded system"", pages 1 - 5 * |
| 李国强 等: ""基于ARM和电力线载波的智能灌溉控制系统研究"", no. 12, pages 61 - 64 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116831015A (en) * | 2023-07-27 | 2023-10-03 | 易维集控(北京)园林科技有限公司 | Decision-making method, system and computing equipment for scientific water conservation of autonomous irrigation |
Also Published As
| Publication number | Publication date |
|---|---|
| CN115221711B (en) | 2023-07-11 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Xie et al. | Development and test of SWAT for modeling hydrological processes in irrigation districts with paddy rice | |
| CN102402185B (en) | Deficit irrigation controlling method based on fuzzy control | |
| CN103477948B (en) | Irrigation control method and system for saline-alkali soil | |
| Wen et al. | Optimization of irrigation scheduling for spring wheat with mulching and limited irrigation water in an arid climate | |
| Ritzema et al. | Land drainage strategies to cope with climate change in the Netherlands | |
| CN106777618A (en) | Evaluation method of the basin green infrastructure to rainwash Regulation capacity | |
| CN104620945A (en) | Land irrigation quota determining method | |
| Alekseev et al. | Application of fuzzy logic elements under the moisture supply evaluation in the plant-soil-air system | |
| Huang et al. | Surface runoff volumes from vegetated slopes during simulated rainfall events | |
| CN115221711A (en) | Irrigation water consumption accurate calculation method and device suitable for embedded equipment | |
| Malekinezhad et al. | Modeling impacts of climate change and human activities on groundwater resources using MODFLOW | |
| CN111742825A (en) | Construction and application of farmland accurate irrigation control model | |
| CN104091040A (en) | Soil infiltrability calculation method | |
| Martin et al. | Evaluation of the root zone water quality model for conditions in central Nebraska | |
| Van den Eertwegh et al. | Impacts of drainage activities for clay soils on hydrology and solute loads to surface water | |
| Hendricks et al. | Measurement and modeling of phosphorous transport in shallow groundwater environments | |
| CN105158502B (en) | A kind of flow rate measuring device being used in environment flow evaluation method | |
| Liu et al. | Stochastic modelling of soil moisture dynamics in a grassland of Qilian Mountain at point scale | |
| Hickman, Jr et al. | Evaluating the role of evapotranspiration in the hydrology of a bioinfiltration basin using a weighing lysimeter | |
| Jabro et al. | Evaluation and comparison of five simulation models for estimating water drainage fluxes under corn | |
| CN112949182A (en) | Method for calculating maximum pore conductance of coupling earth surface soil water content in regional scale | |
| SHANG et al. | A physicoempirical model for soil water simulation in crop root zone | |
| Castellini et al. | Spatial variability of soil physical and hydraulic properties in a durum wheat field: An assessment by the BEST-procedure | |
| Kvarnäs | The Q Model: A Simple Conceptual Model for Runoff Simulation in Cathment Areas | |
| CN109002422B (en) | Method for acquiring influence specific gravity of recycled water reutilization and spatial variation on net inflow water production rate |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |