CN215421635U - Intelligent water and fertilizer equipment based on soil crop interaction model - Google Patents

Intelligent water and fertilizer equipment based on soil crop interaction model Download PDF

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CN215421635U
CN215421635U CN202122223747.1U CN202122223747U CN215421635U CN 215421635 U CN215421635 U CN 215421635U CN 202122223747 U CN202122223747 U CN 202122223747U CN 215421635 U CN215421635 U CN 215421635U
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fertilizer
water
outlet pipe
filter
pipe
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华珊
许敏界
徐志福
李双伟
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Zhejiang Academy of Agricultural Sciences
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Abstract

The utility model discloses an intelligent liquid manure equips and optimizes regulation and control method based on soil crop interaction model, its structure includes water supply and storage system, filtration system and joins in marriage fertile output system. The growth state of the plants is monitored in real time, the parameter quantity of dynamic fertilization is determined, the annular gravity sensor is utilized to collect the gravity parameters in real time, accurate conveying of the determined fertilization quantity is achieved, and the scientificity and high efficiency of fertilizer application are guaranteed.

Description

Intelligent water and fertilizer equipment based on soil crop interaction model
Technical Field
The utility model belongs to the technical field of agricultural irrigation equipment, and particularly relates to intelligent water and fertilizer equipment based on a soil crop interaction model.
Background
In recent years, with the increasing aging of population, the agricultural planting field needs to be mechanically and intelligently modified. The agricultural fertilization process is the core in the field of agricultural planting, the traditional agricultural fertilization labor intensity is high, and the judgment on plant nutrient components is mainly carried out through the experience of farmers, so that deviation often exists. The water and fertilizer integration technology is an agricultural high-tech practical technology which integrates irrigation and fertilization to realize water and fertilizer coupling, can efficiently realize the space-time matching of water and nutrients, ensures the timely absorption and utilization of required nutrients by plants, and has high water and fertilizer saving and high water and fertilizer utilization rate, but still lacks a water and fertilizer control system for judging the nutrient components of the plants at present. For example, utility model patent with application number CN 209449221U discloses a liquid manure integration automatic irrigation system based on thing networking. The system can carry out subarea irrigation according to the types of plants in a planting area. Chinese utility model with patent number CN 110419437 a discloses a liquid manure blending device and a liquid manure blending method, which adopts spectral analysis to predict the nutrient elements of target crops, determines the content of the nutrient elements of the target crops, and controls the concentration configuration of nutrient solution.
Patent No. CN 209449221U utility model patent: although the patent can meet the requirements of different crops in different planting areas on different irrigation modes in different growth stages, the decision of the configuration concentration of the nutrient solution still adopts the steps of collecting, analyzing and deciding the parameters such as soil humidity, fertilizer concentration, flow, rainfall and the like to determine the configuration concentration of the nutrient solution at present. The decision-making mode has hysteresis and non-directness, the requirement on the acquisition precision of the sensor is high, and the configuration error of the nutrient solution is large.
Patent No. CN 110419437 a: a water and fertilizer mixing device and a water and fertilizer mixing method are provided, which realize the preparation of nutrient solution by comparing the measured values of EC and pH with preset values and applying a fuzzy PID algorithm. Although the fuzzy PID algorithm can realize high precision of nutrient solution configuration, the fuzzy PID algorithm needs to select a proper membership function, and the selection of the membership function directly influences the configuration precision. The method for predicting the nutrient elements of the target crops by adopting the spectral analysis has the advantages of great influence by external light environment, low accuracy, easiness in causing the waste of nutrient solution and increasing the fertilization cost of the crops although the method has certain scientificity and mechanicalness.
SUMMERY OF THE UTILITY MODEL
Aiming at the problems, the patent provides intelligent water and fertilizer equipment based on soil-crop interaction and an optimized regulation and control model. For the judgment of the crop nutrition deficiency condition, a method for collecting parameters such as soil humidity, fertilizer concentration, flow, rainfall and the like is not adopted, and the parameter amount of dynamic fertilization is determined by monitoring the growth state of the plants in real time. Aiming at the water and fertilizer equipment which is lack of automatic fertilizer preparation in the current market, the annular gravity sensor is utilized to collect the gravity parameters in real time, so that the accurate conveying of the fertilizer application amount is realized, and the scientificity and the high efficiency of fertilizer application are ensured.
The intelligent water and fertilizer equipment based on the soil crop interaction model comprises a water supply and storage system, a filtering system and a fertilizer distribution output system, and is characterized in that the water supply and storage system is connected with the filtering system, the filtering system is connected with the fertilizer distribution output system, and the water supply and storage system, the filtering system and the fertilizer distribution output system are respectively connected with an intelligent control cabinet.
Preferably, the water supply and storage system comprises a water inlet pump, a reservoir and a water outlet pump, the water inlet pump is connected with one end of a water inlet pipe, the other end of the water inlet pipe is connected from the upper end of the reservoir, the lower end of the reservoir is connected with a water outlet pipe, and the water outlet pipe is provided with the water outlet pump.
Preferably, the filtering system comprises a sand filter, a sewage discharge pipe and a filter water outlet pipe, the water outlet pipe is connected to the top end of the sand filter, the sewage discharge pipe is arranged at one end, close to the sand filter, of the water outlet pipe, and the filter water outlet pipe is led out from the lower end of the sand filter.
Preferably, the fertilizer preparation output system comprises a fertilizer preparation water inlet pipe, a fertilizer preparation barrel and a fertilizer preparation water outlet pipe, the filter water outlet pipe is connected from the bottom end of the fertilizer preparation barrel, a water outlet of the filter water outlet pipe extends to the circle center inside the fertilizer preparation barrel, the fertilizer preparation water outlet pipe is arranged on the fertilizer preparation barrel opposite to the fertilizer preparation water inlet pipe, and a fertilizer conveying mechanism is arranged at the upper end of the fertilizer preparation barrel.
Preferably, the laminated filter is arranged on the filter water outlet pipe, a drain pipe is connected to the laminated filter, a drain electromagnetic valve is arranged between the drain pipe and the laminated filter, and the drain electromagnetic valve is connected with the intelligent control cabinet.
Preferably, a pressure gauge is arranged on a filter water outlet pipe between the laminated filter and the sand filter.
Preferably, the fertilizer conveying mechanism is connected with the intelligent control cabinet, the fertilizer conveying mechanism comprises a rotary disc, an annular gravity sensor, an angle motor and a fertilizer storage barrel, the rotary disc is arranged at a barrel opening of the fertilizer preparation barrel, the annular gravity sensor is arranged below the rotary disc, the fertilizer storage barrel is arranged above the rotary disc, and the angle motor is in driving connection with the rotary disc.
Preferably, the fertilizer preparation water outlet pipe is connected with the input end of a fertilizer preparation water pump, and the output end of the fertilizer preparation water pump is connected with the fertilizer preparation water outlet pipe.
Preferably, one side of the filter water outlet pipe, which is close to the fertilizer preparation barrel, is additionally provided with a section of adjusting water pipe communicated with the fertilizer preparation water outlet pipe, and the adjusting water pipe is connected with the fertilizer preparation barrel in parallel.
An optimal regulation and control method of intelligent water and fertilizer equipment based on a soil crop interaction model comprises the following steps:
1) adopting a dynamic model of partial differential equation through the process of soil moisture, heat and nutrient migration;
soil moisture movement model:
Figure BDA0003260886170000041
h=hi(Z) 0≤Z≤L t=0
Figure BDA0003260886170000042
h=hL(t) Z=L t>0
theta is the volume water content (cm) of the soil3·cm-3);
h is a soil negative pressure water head (cm);
k is the unsaturated hydraulic conductivity (cm.d) of the soil-1);
Z is a space coordinate and is positive (cm) upwards;
l is the lower boundary depth (cm);
Figure BDA0003260886170000043
is specific water capacity (cm)-1);
haThe minimum pressure head (usually-1.5 mPa) of the earth' S surface, and below this value, the upper boundary becomes the pressure head boundary, and S is the root water absorption term (cm)3·cm-3d-1) And E (t) is the water flux (cm. d) through the soil surface caused by irrigation, rainfall and soil surface evaporation-1);
The soil heat migration model is as follows:
Figure BDA0003260886170000044
T=T0(Z) 0≤Z≤L t=0
T=T0(t) Z=0 t>0
T=TL(t) Z=L t>0
t is the temperature (K);
λ is apparent thermal conductivity (Jcm)-3K-1d-1);
CT,CwVolumetric heat capacity (Jcm) of total soil and liquid phase, respectively-3K-1);
q is the soil water flux (cmd)-1);
S is root water absorption term (cm)3cm-3d-1);
Wherein the total volumetric heat capacity of the soil is expressed as: cT=Csεs+Coεo+Cwεw+Cgεg
The soil solute transport model is as follows:
Figure BDA0003260886170000051
C=Ci(Z) 0≤Z≤L t=0
C=CL(t) Z=L t>0
c is NH in soil solution4-N or NO3Concentration of-N (mgL)-1);
Rho is the volume weight of soil (gcm)-3);
S0For soil fixation to NH4Adsorption amount of-N (mgL)-1);
D is the hydrodynamic dispersion coefficient (cm) of the solute2d-1);
SNIs a source and sink item;
2) based on a PS123 model, the simulation of the growth and development process of crops, dry matter production, dry matter distribution and crop yield PS1 under the light and temperature condition is improved, and the correction formula of PS1 is as follows: SLA ═ SLAi+(SLAi+1-SLAi)*(RDS-RDSi)/(RDSi+1-RDSi) (ii) a The crop yield PS2 under the water limitation is obtained through the simulation of the leaf area index and the water absorption of the root system; the crop yield PS3 under the limitation of water and fertilizer is obtained by simulating the crop fertilizer demand, the soil fertilizer supply and the actual fertilizer absorption of the crops;
3) coupling relation between the model in the step 1 and the model in the step 2, which is input and output mutually, is existed, and the models are integrated from the interactive relation of crops and soil to obtain a soil-crop interaction system model;
4) the method comprises the following steps of establishing a multi-objective dynamic programming model on the basis of a soil-crop interaction system process model by taking the total amount of irrigation and fertilization as a decision variable and crop biomass, water and nutrient utilization efficiency as an optimization target according to a key growth and development period of crops, forming a soil-crop interaction and optimization regulation model, and taking the crop biomass, the water utilization efficiency and the nitrogen fertilizer utilization efficiency in the model as targets, wherein the three parameters jointly become a scale for measuring the advantages and disadvantages of irrigation and fertilization decisions, and an objective function is as follows:
Figure BDA0003260886170000061
cf (water) is the water stress coefficient;
cf (N) is nitrogen stress coefficient;
S(org)tthe dry matter mass of each organ under the condition of no moisture and nutrient stress in the t stage;
Nfertthe application amount of the nitrogen fertilizer;
yield is Yield.
According to the optimization principle of dynamic programming and an objective function formula, a recursion equation when a sequential recursion method is adopted for solving is as follows:
fk(WQt+1,NQt+1,S(org)t+1)=max[vt(Wdt,Ndt)+ft-1(WQt,NQt,S(org)t)]
t=1,2,3,...,T
ft(WQt+1,NQt+1,S(org)t+1) Is in the t-stage state of (WQ)t+1,NQt+1,S(org)t+1) When, with respect to the starting point, the value of the optimum index function, vt(Wdt,Ndt) Indicates that the state of the t-th stage is (WQ)t+1,NQt+1,S(org)t+1) Take the decision as (Wd)t,Ndt) The benefit value of the stage at the stage.
The constraint conditions are as follows:
Figure BDA0003260886170000062
WQ1the effective water quantity for irrigation in the initial stage;
NQ1the application amount of nitrogen fertilizer available for distribution in the initial stage.
5) The optimal irrigation and fertilization time and dosage of the crops in the whole growth period can be obtained through the simulation calculation of the water stress coefficient and the nutrient stress coefficient of the crops;
6) the water inlet pump conveys water into the reservoir, when the water level reaches a certain value, the water inlet pump is closed, the water outlet pump is opened, and the water in the reservoir reaches the filtering system through the reservoir water outlet pipe and the water pump water outlet pipe;
7) a water inlet valve of a sand filter in the sand filter is opened, the sand filter realizes the filtering effect on input water at the moment, coarse filtering is carried out, coarse filtering water passes through a water inlet pipe of a laminated filter, a water inlet valve of the laminated filter is opened, a blowdown battery valve is closed, the coarse filtering water reaches the laminated filter, and fine treatment on the water reaches a water outlet pipe of the laminated filter through secondary filtering;
8) and (3) opening a fertilizer preparation water inlet valve, enabling the fine filtered water to reach a fertilizer preparation barrel, making an intelligent decision according to the steps 1-5, and then preparing by using a fertilizer conveying mechanism and outputting to the target crops by using a fertilizer preparation water pump.
The utility model has the advantages that:
1. the utility model constructs a soil-crop interaction system model based on a soil, solute and crop interaction mechanism, provides an optimized water and fertilizer scheme for each link of the whole growth period of crops by using a dynamic optimization planning method and taking the maximum yield of the crops as a target on the basis of the model, and finally establishes a soil-crop interaction and optimized regulation model.
2. The intelligent liquid manure equipment based on the soil-crop interaction and optimization regulation and control model is provided with the automatic fertilizer conveying mechanism with the difference value between the fertilizer decision value and the real-time acquisition value, compared with the traditional liquid manure system, the fertilizer conveying efficiency is high, the waste of fertilizer is avoided, and the fertilizer configuration time is saved.
3. The fertilizer decision value is linked with the water quantity configuration value, so that the optimization of the water and fertilizer configuration concentration is realized, and the problems of seedling burning and the like possibly caused by high-concentration fertilization are avoided.
Drawings
Fig. 1 is a schematic view of the overall structure of the present invention.
Fig. 2 is a schematic structural view of a water supply and storage system of the utility model.
FIG. 3 is a schematic diagram of a filtration system according to the present invention.
Fig. 4 is a schematic structural view of a fertilizer preparation output system of the present invention.
Fig. 5 is a schematic structural view of the fertilizer conveying mechanism of the utility model.
In the figure, a water supply and storage system 1, a water inlet pump 11, a reservoir 12, a water outlet pump 13, a water inlet pipe 14, a water outlet pipe 15, a filtering system 2, a sand and stone filter 21, a sewage discharge pipe 22, a filter water outlet pipe 23, a laminated filter 231, a sewage discharge pipe 232, a sewage discharge electromagnetic valve 233, a pressure gauge 234, a fertilizer preparation output system 3, a fertilizer preparation water inlet pipe 31, a fertilizer preparation barrel 32, a fertilizer preparation water outlet pipe 33, a fertilizer conveying mechanism 34, a rotary table 341, an annular gravity sensor 342, an angle motor 343, a fertilizer storage barrel 344, an intelligent control cabinet 4, a fertilizer preparation water pump 5 and a regulating water pipe 51.
Detailed Description
The technical solution of the present invention is further illustrated by the following specific embodiments, in the examples of the present invention:
the intelligent control cabinet 4 controls and adjusts each valve and the water pump in the utility model.
Theta is the volume water content (cm) of the soil3·cm-3) (ii) a h is a soil negative pressure water head (cm); k is the unsaturated hydraulic conductivity (cm.d) of the soil-1) (ii) a Z is a space coordinate and is positive (cm) upwards; l is the lower boundary depth (cm);
Figure BDA0003260886170000081
is specific water capacity (cm)-1);haThe minimum pressure head at the surface (typically-1.5 mPa), below which the upper boundary becomes the pressure head boundary; s is root water absorption term (cm)3·cm-3d-1) (ii) a E (t) Water flux (cm. d) through the soil surface caused by irrigation, rainfall and soil surface evaporation-1) (ii) a T is the temperature (K); λ is apparent thermal conductivity (Jcm)-3K-1d-1);CT,CwVolumetric heat capacity (Jcm) of total soil and liquid phase, respectively-3K-1) (ii) a q is the soil water flux (cmd)-1) (ii) a S is root water absorption term (cm)3cm-3d-1) (ii) a C is NH in soil solution4-N or NO3Concentration of-N (mgL)-1) (ii) a Rho is the volume weight of soil (gcm)-3);S0For soil fixation to NH4Adsorption amount of-N (mgL)-1) (ii) a D is the hydrodynamic dispersion coefficient (cm) of the solute2d-1);SNIs a source and sink item; cf (water) is the water stress coefficient; cf (N) is nitrogen stress coefficient; s (org)tThe dry matter mass of each organ under the condition of no moisture and nutrient stress in the t stage; n is a radical offertThe application amount of the nitrogen fertilizer; yield is Yield; f. oft(WQt+1,NNQt+1,S(org)t+1) Is in the t-stage state of (WQ)t+1,NQt+1,S(org)t+1) When, with respect to the starting point, the value of the optimum index function, vt(Wdt,Ndt) Indicates that the state of the t-th stage is (WQ)t+1,NQt+1,S(org)t+1) Take the decision as (Wd)t,Ndt) The stage benefit value of the stage; WQ1The effective water quantity for irrigation in the initial stage; NQ1The application amount of nitrogen fertilizer available for distribution in the initial stage.
The soil process model comprises a dynamic model of partial differential equation adopted in the process of soil moisture, heat and nutrient migration.
The soil moisture movement model is as follows:
Figure BDA0003260886170000091
h=hi(Z) 0≤Z≤L t=0
Figure BDA0003260886170000092
h=hL(t) Z=L t>0
the soil heat migration model is as follows:
Figure BDA0003260886170000093
T=T0(Z) 0≤Z≤L t=0
T=T0(t) Z=0 t>0
T=TL(t) Z=L t>0
the soil solute transport model is as follows:
Figure BDA0003260886170000094
C=Ci(Z) 0≤Z≤L t=0
C=CL(t) Z=L t>0
wherein the total volumetric heat capacity of the soil can be expressed as:
CT=Csεs+Coεo+Cwεw+Cgεg
the PS123 model is a universal model for quantitative land productivity evaluation, and is based on the PS123 model, the simulation of the growth and development process of crops, dry matter production, dry matter distribution and crop yield (PS1) under the light and temperature condition is improved, and the correction formula of PS1 is as follows: SLA ═ SLAi+(SLAi+1-SLAi)*(RDS-RDSi)/(RDSi+1-RDSi). The crop yield (PS2) under the water limitation is obtained through the simulation of the leaf area index and the water absorption of the root system;the crop yield under the water and fertilizer limitation is obtained by simulating the crop fertilizer demand, the soil fertilizer supply and the actual fertilizer absorption of the crops (PS 3).
A coupling relation of mutual input and output exists between a soil hydrothermal fertilizer migration dynamics model and a crop growth model, and the models are integrated from a crop-soil interaction relation to obtain a soil-crop interaction system model.
A multi-objective dynamic planning model is established on the basis of a soil-crop interaction system process model according to the key growth and development period of crops by taking the total amount of irrigation and fertilization as decision variables and the utilization efficiency of crop biomass, water and nutrients as optimization targets. The integration of the above parts forms a soil-crop interaction and optimization regulation model.
The crop biomass, the water utilization efficiency and the nitrogen fertilizer utilization efficiency in the soil-crop interaction and optimization regulation model are taken as targets, the three parameters jointly become a scale for measuring the quality of irrigation and fertilization decisions, and the objective function is as follows:
Figure BDA0003260886170000101
according to the optimization principle of dynamic programming and an objective function formula, a recursion equation when a sequential recursion method is adopted for solving is as follows:
fk(WQt+1,NQt+1,S(org)t+1)=max[vt(Wdt,Ndt)+ft-1(WQt,NQt,S(org)t)]t=1,2,3,...,T
the constraint conditions are as follows:
Figure BDA0003260886170000111
through the simulation calculation of the water stress coefficient and the nutrient stress coefficient of the crops, the optimal irrigation and fertilization time and dosage of the crops in the whole growth period can be obtained.
Example 1
When the output of the model is that nitrogen fertilizer and phosphate fertilizer are lacked, the lower part of the fertilizer conveying mechanism 34 is provided with the annular gravity sensor 342, the angle motor 343 is turned on, the rotary table 341 rotates 90 degrees, the nitrogen fertilizer and the phosphate fertilizer are conveyed, the annular gravity sensor 342 collects the gravity parameters and the initial values in real time to perform difference operation, when the difference values reach decision parameter values, the angle motor 343 is turned off, the rotary table returns to the original position, and the nitrogen fertilizer and the phosphate fertilizer are conveyed completely. The fertilizer preparation water inlet valve is opened, and the required input water amount in the fertilizer preparation barrel 32 is determined according to the conveying amounts of the nitrogenous fertilizer and the phosphate fertilizer. At the moment, the fertilizer preparation water outlet valve is opened, the fertilizer preparation water pump 5 is opened, and the fertilizer preparation mixed solution is output through the fertilizer preparation water outlet pipe 33, so that the accurate irrigation of plants is realized. In the planting process, the growth state parameters of the plants are regularly collected and intelligent decisions are made, and the high-efficiency and high-quality growth of the plants can be realized at extremely low cost by accurately fertilizing nitrogen, phosphorus, potassium and trace elements.
The fertilizer preparation barrel 32 and the fertilizer conveying mechanisms 34 can be arranged according to actual requirements, each fertilizer conveying mechanism 34 corresponds to one fertilizer, water is added into the fertilizer preparation barrel 32 for dilution, and finally the fertilizers in the fertilizer preparation barrels 32 are uniformly mixed in the fertilizer preparation water outlet pipes 33 and are connected in parallel, so that the adaptability to a complex fertilizer preparation process is improved. And the regulation water pipe 51 that sets up alone can wash remaining fertilizer in the pipeline, guarantees the fertilizer ratio of output complete and to join in marriage fertilizer bucket 32 in each and add water and harmonize evenly, installs the overflow valve on the regulation water pipe 51, with some gas escape atmosphere in the system, makes system pressure no longer than the allowable value to guarantee that the system does not take place the accident because of the pressure is too high.
Example 2
In the sewage disposal process of the sandstone filter, when the water inlet valve of the sandstone filter 21 is opened, the water inlet valve of the laminated filter 231 is closed, the sewage disposal valve is opened, the water outlet pump 13 is opened at the moment, the high-pressure water washes the sandstone filter 21, and pollutants in the water are discharged from the sewage disposal water pipe 22, so that the purification of the sandstone filter 21 is realized.
Example 3
In practical situations, two identical laminated filters 231 provided with a blowdown solenoid valve 233 and corresponding valves are usually connected in parallel, when one of the laminated filters 231 is backwashed, the valve of the fertilizer feed pipe 31 is closed, then the water inlet valve of the laminated filter 231 to be flushed is closed, the blowdown solenoid valve 233 is opened, the water inlet valve of the laminated filter 231 to be flushed is opened, the blowdown solenoid valve 233 is closed, and at the same time, high-pressure water flows back into the cavity of the laminated filter 231 to be flushed through the laminated filter 231 on the other side, and sewage is discharged through the blowdown solenoid valve 233.
When the lamination filter 231 on the other side needs to be washed, the opening and closing modes of the valves on the two sides need to be exchanged.
Example 4
The automatic fertilizer conveying mechanism adopts a mode of matching an angle motor with a rotating disc, and can also be replaced by a mode of matching an air cylinder with a push plate, or a mode of matching an air cylinder with a turning plate.
The automatic fertilizer delivery mechanism based on the gravity parameters may be replaced with an automatic fertilizer delivery mechanism based on the flow parameters.
Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art will understand that various changes, modifications and substitutions can be made without departing from the spirit and scope of the utility model as defined by the appended claims. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (9)

1. The utility model provides an intelligence liquid manure equips based on soil crop interaction model, includes water supply and storage system, filtration system and joins in marriage fertile output system, its characterized in that, water supply and storage system (1) is connected with filtration system (2), filtration system (2) with join in marriage fertile output system (3) and be connected, water supply and storage system (1), filtration system (2) with join in marriage fertile output system (3) and be connected with intelligent control cabinet (4) respectively.
2. The intelligent water and fertilizer equipment based on the soil crop interaction model is characterized in that: the water supply and storage system (1) comprises a water inlet pump (11), a reservoir (12) and a water outlet pump (13), wherein the water inlet pump (11) is connected with one end of a water inlet pipe (14), the other end of the water inlet pipe (14) is connected with the upper end of the reservoir (12), the lower end of the reservoir (12) is connected with a water outlet pipe (15), and the water outlet pump (13) is arranged on the water outlet pipe (15).
3. The intelligent water and fertilizer equipment based on the soil crop interaction model is characterized in that: filtration system (2) are including gravel and sand filter (21), blow off water pipe (22) and filter outlet pipe (23), outlet pipe (15) are followed gravel and sand filter (21) top and are inserted, the one end that outlet pipe (15) are close to gravel and sand filter (21) is provided with blow off water pipe (22), filter outlet pipe (23) are drawn forth from gravel and sand filter (21) lower extreme.
4. The intelligent water and fertilizer equipment based on the soil crop interaction model is characterized in that: the fertilizer preparation output system (3) comprises a fertilizer preparation water inlet pipe (31), a fertilizer preparation barrel (32) and a fertilizer preparation water outlet pipe (33), wherein the filter water outlet pipe (23) is connected from the bottom end of the fertilizer preparation barrel (32), a water outlet of the filter water outlet pipe (23) extends to the circle center inside the fertilizer preparation barrel (32), the fertilizer preparation water outlet pipe (33) is arranged on the fertilizer preparation barrel (32) at the position opposite to the fertilizer preparation water inlet pipe (31), and a fertilizer conveying mechanism (34) is arranged at the upper end of the fertilizer preparation barrel (32).
5. The intelligent water and fertilizer equipment based on the soil crop interaction model is characterized in that: be provided with lamination filter (231) on filter outlet pipe (23), be connected with blow off pipe (232) on lamination filter (231), be equipped with blowdown solenoid valve (233) between blow off pipe (232) and lamination filter (231), blowdown solenoid valve (233) are connected with intelligent control cabinet (4).
6. The intelligent water and fertilizer equipment based on the soil crop interaction model is characterized in that: and a pressure gauge (234) is arranged on a filter water outlet pipe (23) between the laminated filter (231) and the sand filter (21).
7. The intelligent water and fertilizer equipment based on the soil crop interaction model is characterized in that: the fertilizer conveying mechanism (34) is connected with the intelligent control cabinet (4), the fertilizer conveying mechanism (34) comprises a rotary table (341), an annular gravity sensor (342), an angle motor (343) and a fertilizer storage barrel (344), the rotary table (341) is arranged at the barrel opening of the fertilizer distribution barrel (32), the annular gravity sensor (342) is arranged below the rotary table (341), the fertilizer storage barrel (344) is arranged above the rotary table (341), and the angle motor (343) is in driving connection with the rotary table (341).
8. The intelligent water and fertilizer equipment based on the soil crop interaction model is characterized in that: the fertilizer preparation water outlet pipe (33) is connected with the input end of the fertilizer preparation water pump (5), and the output end of the fertilizer preparation water pump (5) is connected with the fertilizer preparation water outlet pipe (33) in a direction.
9. The intelligent water and fertilizer equipment based on the soil crop interaction model is characterized in that: one side of the filter water outlet pipe (23) close to the fertilizer preparation barrel (32) is additionally provided with a section of adjusting water pipe (51) communicated with the fertilizer preparation water outlet pipe (33), and the adjusting water pipe (51) is connected with the fertilizer preparation barrel (32) in parallel.
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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113597864A (en) * 2021-09-14 2021-11-05 浙江省农业科学院 Intelligent water and fertilizer equipment based on soil crop interaction model and optimal regulation and control method thereof
CN117751742A (en) * 2024-02-22 2024-03-26 浙江园博景观建设有限公司 Intelligent garden water and fertilizer irrigation optimization method and system

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113597864A (en) * 2021-09-14 2021-11-05 浙江省农业科学院 Intelligent water and fertilizer equipment based on soil crop interaction model and optimal regulation and control method thereof
CN117751742A (en) * 2024-02-22 2024-03-26 浙江园博景观建设有限公司 Intelligent garden water and fertilizer irrigation optimization method and system
CN117751742B (en) * 2024-02-22 2024-04-19 浙江园博景观建设有限公司 Intelligent garden water and fertilizer irrigation optimization method and system

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