Intelligent garden irrigation control method

Abstract

The invention discloses an intelligent garden irrigation control method, and relates to the technical field of garden irrigation, and the technical scheme is characterized in that the method comprises the following steps: collecting soil humidity, temperature and net radiation through a soil parameter detection module; acquiring wind speed, illumination intensity and future rainfall prediction through a meteorological data acquisition module; calculating and outputting a dynamic irrigation demand index based on an edge analysis module; the pressure compensation module generates a valve control instruction based on pipe network position analysis. According to the system, the dynamic irrigation demand index is calculated and output through diversified collection and the edge analysis module, so that precise irrigation can be carried out on the garden according to the actual demand; by arranging the pressure compensation module, the actual flow of each position of the pipe network can be dynamically calculated, and the flow of the pipe network is adjusted, so that the flow difference of each position of the pipe network can be reduced, and irrigation of each position of the garden is more comprehensive and accurate.

Description

TECHNICAL FIELD

[0001] The embodiment of the application relates to the technical field of garden irrigation, in particular to a smart garden irrigation control method. BACKGROUND

[0002] The garden irrigation control system is a system for realizing garden irrigation automation by using modern information technology, which realizes precise irrigation by sensors, controllers, communication networks and other devices, improves resource utilization efficiency by precisely controlling irrigation time and water quantity, and reduces labor demand and maintenance cost by automatic management.

[0003] The existing garden irrigation technology generally only detects soil humidity, so that the detection data is single, the judgment of whether the garden needs irrigation is not accurate, and the existing garden irrigation technology generally cannot consider whether it will rain, so that rain may occur after irrigation, which affects the growth of the garden due to the high soil humidity, and the existing delivery pipe network for irrigation has pressure fluctuation, which causes large flow difference between the end and the head of the network, and uneven irrigation phenomenon.

[0004] Therefore, a new scheme needs to be proposed to solve this problem. SUMMARY

[0005] The purpose of the embodiment of the application is to provide a smart garden irrigation control method to solve the above problems.

[0006] The above technical purpose of the embodiment of the application is realized by the following technical scheme: a smart garden irrigation control method, which comprises the following steps:

[0007] Collecting soil humidity, temperature and net radiation by a soil parameter detection module;

[0008] Obtaining wind speed, light intensity and future rainfall prediction by a meteorological data acquisition module;

[0009] Inputting the collected soil humidity, temperature, net radiation, wind speed, light intensity and future rainfall prediction into an edge analysis module, and calculating and outputting a dynamic irrigation demand index based on the edge analysis module;

[0010] A pressure compensation module generates a valve control instruction based on pipe network position analysis;

[0011] An execution module obtains the dynamic irrigation demand index and the valve control instruction, and performs precise irrigation.

[0012] The application is further provided as follows: the calculation and output of the dynamic irrigation demand index based on the edge analysis module comprises:

[0013] Obtaining a crop type coefficient matched with a plant feature database;

[0014] Inputting the soil humidity into the edge analysis module, and outputting a standardized soil humidity index SSMI;

[0015] Inputting the input temperature, net radiation, wind speed, and light intensity into the edge analysis module, and outputting an evapotranspiration amount ETo calculated by the edge analysis module using a Penman-Monteith formula;

[0016] The edge analysis module obtains the crop type coefficient, SSMI, ETo, and future rainfall prediction, and outputs the dynamic irrigation demand index IDI.

[0017] The application is further provided that the SSMI is calculated as follows:

[0018]

[0019] wherein θ a represents an actual value of soil humidity, θ max represents a maximum value of soil humidity, and θ min represents a minimum value of soil humidity.

[0020] The application is further provided that the IDI is calculated as follows:

[0021] IDI=α·(1-SSMI)+β·ETo+γ·(1-POP)·100

[0022] wherein POP represents future rainfall prediction, and when the crop type is lawn, α, β, and γ are 0.4, 0.4, and 0.2 respectively; when the crop type is tree, α, β, and γ are 0.3, 0.5, and 0.2 respectively; and when the crop type is flower, α, β, and γ are 0.5, 0.3, and 0.2 respectively.

[0023] The application is further provided that the execution module obtains the dynamic irrigation demand index and performs precision irrigation, including:

[0024] When the IDI is less than 20, the edge calculation module outputs a 01 instruction to the execution module, and the execution module does not perform irrigation;

[0025] When 20 < IDI < 40, the edge calculation module outputs a 02 instruction to the execution module, and the execution module irrigates for 5 minutes;

[0026] When 40 < IDI < 60, the edge calculation module outputs a 03 instruction to the execution module, and the execution module irrigates for 15 minutes;

[0027] When the 60 < ID, the edge computing module outputs 04 instructions to the execution module, and the irrigation duration of the execution module is 30 minutes.

[0028] The application is further provided that the pressure compensation module comprises a PID controller and a pressure sensor, the PID controller outputs the actual flow rate through pressure calculation, and the calculation method is as follows:

[0029]

[0030] Wherein, Q a represents the actual flow rate, Q t represents the target flow rate, P n represents the target pressure; P a represents the actual pressure

[0031] The application is further provided that the execution module comprises a variable frequency water pump and an electric regulating valve, and the pressure compensation module generates valve control instructions based on pipe network position analysis, which comprises:

[0032] When Q a < Q t -5%, and the duration is greater than or equal to 30 seconds, the PID controller outputs valve control instructions, drives the electric regulating valve to open to 100%, and the variable frequency water pump to speed up to 120%, when Q a and Q t differs by less than 3% for 60 seconds, the electric regulating valve and the variable frequency water pump return to normal, at this time the electric regulating valve is opened to 80%, and the variable frequency water pump is speeded up to 100%;

[0033] When Q a > Q t +5%, and the duration is greater than or equal to 30 seconds, the PID controller outputs valve control instructions, drives the electric regulating valve to open to 60%, and the variable frequency water pump to speed up to 80%, when Q a and Q t differs by less than 3% for 60 seconds, the electric regulating valve and the variable frequency water pump return to normal, at this time the electric regulating valve is opened to 80%, and the variable frequency water pump is speeded up to 100%;

[0034] When Q a > Q t +8%, the PID controller outputs valve control instructions, closes the current branch electric regulating valve and starts the adjacent branch to shunt, when Q a and Q t differs by less than 3% for 60 seconds, the current branch electric regulating valve is reopened and the adjacent branch is closed.

[0035] The application is further provided with: the soil parameter detection module comprises a humidity sensor, a temperature sensor and a net radiation sensor, the soil parameter detection module is distributed at three different depths, and the meteorological data acquisition module comprises a wind speed sensor, an illumination sensor and an optical rain gauge.

[0036] The application is further provided with: the computer readable storage medium stores a computer program, and the computer program is executed by a computer or a processor to realize the method.

[0037] The application is further provided with: the computer program product comprises a computer program, and when the computer program is executed by a computer or a processor, the computer or the processor executes the method.

[0038] In summary, the application has the following beneficial effects:

[0039] By additionally arranging the soil parameter detection module and the meteorological data acquisition module, soil humidity, temperature, net radiation, wind speed, illumination intensity and future rainfall prediction can be diversifiedly collected, and then the edge analysis module is used to calculate and output a dynamic irrigation demand index, so that the garden can be accurately irrigated according to actual demand.

[0040] By arranging the pressure compensation module, the actual flow size of each position of the pipe network can be dynamically calculated, when the actual flow of one end of the pipe network is too large or too small, the valve control instruction is generated through the pressure compensation module, so that the flow size of the pipe network is adjusted through the execution module, and then the flow difference of each position of the pipe network can be reduced, so that the irrigation of the garden at each position is more comprehensive and accurate. BRIEF DESCRIPTION OF DRAWINGS

[0041] Figure 1 It is a flowchart of the intelligent garden irrigation control method of the application;

[0042] Figure 2 It is a flowchart of the valve control instruction in the intelligent garden irrigation control method of the application. DETAILED DESCRIPTION

[0043] The technical solutions in the embodiments of the application will be clearly and completely described below with reference to the drawings in the embodiments of the application. Obviously, the described embodiments are only part of the embodiments of the application, rather than all the embodiments of the application. Based on the embodiments in the application, all other embodiments obtained by those skilled in the art without creative work fall within the protection scope of the application.

[0044] In a feasible embodiment, refer to Figure 1 and Figure 2As shown, a smart garden irrigation control method, the smart garden irrigation control method comprises the following steps:

[0045] Step 101: Collecting soil humidity, temperature and net radiation by a soil parameter detection module;

[0046] Step 102: Obtaining wind speed, light intensity and future rainfall prediction by a meteorological data acquisition module;

[0047] Step 103: Inputting the collected soil humidity, temperature, net radiation, wind speed, light intensity and future rainfall prediction into an edge analysis module, and calculating and outputting a dynamic irrigation demand index based on the edge analysis module;

[0048] Step 104: A pressure compensation module generates a valve control instruction based on pipe network location analysis;

[0049] Step 105: The execution module obtains the dynamic irrigation demand index and the valve control instruction, and performs precise irrigation.

[0050] Specifically, by adding a soil parameter detection module and a meteorological data acquisition module, soil humidity, temperature, net radiation, wind speed, light intensity and future rainfall prediction can be collected in multiple ways. Then, the edge analysis module calculates and outputs the dynamic irrigation demand index, which can accurately irrigate the garden according to the actual demand.

[0051] Further, by setting a pressure compensation module, the actual flow size of each position of the pipe network can be dynamically calculated. When the actual flow of a certain end of the pipe network is too large or too small, the pressure compensation module generates a valve control instruction, so that the execution module adjusts the flow size of the pipe network, thereby reducing the flow difference of each part of the pipe network, making the irrigation of each part of the garden more comprehensive and accurate.

[0052] Specifically, the soil parameter detection module includes a humidity sensor, a temperature sensor and a net radiation sensor, the meteorological data acquisition module includes a wind speed sensor, a light sensor and an optical rain gauge, and the soil parameter detection module is distributed at three different depths, i.e. a 10cm deep detection surface evaporation layer, a 30cm deep main root water absorption layer and a 50cm deep deep layer leakage monitoring layer. Thus, by detecting the soil at different depths, more accurate data of the actual condition of the soil can be obtained, and by introducing future rainfall prediction, the actual irrigation demand of the garden plants can be more accurately calculated according to the future rainfall.

[0053] Specifically, please refer to Figure 1 As shown in step 103, the edge analysis module calculates and outputs a dynamic irrigation demand index, which includes:

[0054] Obtain plant feature database to match crop type coefficients, and then make different analyses based on different types of crops in the garden, so as to provide different irrigation needs according to different crop types;

[0055] The soil moisture is input into the edge analysis module, and the standardized soil moisture index (SSMI) is output. This allows the long-term average state of soil moisture to be obtained, and irrigation is carried out according to the actual soil conditions. The SSMI is calculated as follows:

[0056]

[0057] Among them, θ a represents the actual value of soil moisture, θ max represents the maximum value of soil moisture, θ min Indicates the minimum value of soil moisture. The smaller the SSMI value, the drier the soil.

[0058] Input temperature, net radiation, wind speed, and light intensity are input into the edge analysis module, which uses the Penman-Monteith formula to calculate the output evapotranspiration ETo. By obtaining the evapotranspiration ETo, the larger the ETo, the higher the steam temperature and the greater the evaporation. Therefore, the actual evapotranspiration can be combined during irrigation to estimate the evapotranspiration of future garden crops and determine the appropriate water source for irrigation.

[0059] The edge analysis module obtains the crop type coefficient, SSMI, ETo, and future rainfall forecasts, and outputs the dynamic irrigation demand index (IDI). By combining the crop type coefficient, standardized soil moisture index (SSMI), evapotranspiration (ET0), and future rainfall forecasts, it can analyze the actual irrigation needs of the garden from multiple perspectives. Different irrigation requirements can be made for different types of crops and different weather conditions, thereby improving the precision of garden irrigation. The IDI calculation method is as follows:

[0060] IDI=α·(1-SSMI)+β·ETo+γ·(1-POP)·100

[0061] Among them, POP represents the future rainfall prediction. When the crop type is lawn, α, β, and γ are 0.4, 0.4, and 0.2 respectively; when the crop type is tree, α, β, and γ are 0.3, 0.5, and 0.2 respectively; when the crop type is flower, α, β, and γ are 0.5, 0.3, and 0.2 respectively.

[0062] Furthermore, the execution module obtains the dynamic irrigation demand index and performs precision irrigation including:

[0063] When IDI<20, the edge computing module outputs a 01 instruction to the execution module, and the execution module does not perform irrigation;

[0064] When 20 < IDI < 40, the edge computing module outputs 02 instructions to the execution module, and the irrigation duration of the execution module is 5 minutes;

[0065] When 40 < IDI < 60, the edge computing module outputs 03 instructions to the execution module, and the irrigation duration of the execution module is 15 minutes;

[0066] When 60 < IDI < 60, the edge computing module outputs 04 instructions to the execution module, and the irrigation duration of the execution module is 30 minutes.

[0067] Specifically, when the crops in the garden are flowers, the value of SSMI is 40, the value of ETo is 4.5, and POP is 0.3, the soil humidity is moderate drought, the evapotranspiration is moderate evaporation, and the future rainfall prediction is 30%, at this time the edge computing module calculates the dynamic irrigation demand index IDI as 45.35, the edge computing module outputs 03 instructions to the execution module, and the execution module irrigates for 15 minutes; when the crops in the garden are trees, the value of SSMI is 80, the value of ETo is 2.1, and POP is 0.8, the soil humidity is soil moist, the evapotranspiration is low, and the future rainfall prediction is 80%, at this time the edge computing module calculates the dynamic irrigation demand index IDI as 11.05, the edge computing module outputs 01 instructions to the execution module, and the execution module does not irrigate.

[0068] Specifically, please refer to Figure 2 As shown in the step 104, the pressure compensation module includes a PID controller and a pressure sensor, the pressure sensor outputs real-time pressure, and the PID controller calculates the actual flow rate through pressure, so as to detect the actual flow rate at each part of the pipe network, when the actual flow rate at one end of the pipe network is too large or too small, the valve control instruction can be output in time, and the calculation method is as follows;

[0069]

[0070] Wherein, Q a represents the actual flow rate, Q t represents the target flow rate, P n represents the target pressure; P a represents the actual pressure.

[0071] Further, the execution module includes a variable frequency water pump and an electric regulating valve, the variable frequency water pump provides an adjustable pipe network pressure source, adjusts the water flow, dynamically adjusts the output pressure in response to the edge control instruction, and the electric regulating valve receives the PID control signal and accurately adjusts the flow rate of each branch, and the pressure compensation module generates the valve control instruction based on the pipe network position analysis, including;

[0072] When Q a Q t-5%, and the duration is greater than or equal to 30 seconds, the PID controller outputs the valve control instruction, driving the electric regulating valve to open to 100% and the variable frequency water pump to speed up to 120%. a With Q t When the difference is less than 3% and lasts for 60 seconds, the electric regulating valve and the variable frequency water pump return to normal. At this time, the electric regulating valve opens 80% and the variable frequency water pump speed is 100%;

[0073] When Q a >Q t +5%, and the duration is greater than or equal to 30 seconds, the PID controller outputs the valve control instruction, driving the electric regulating valve to open to 60% and the variable frequency water pump to speed up to 80%. a With Q t When the difference is less than 3% and lasts for 60 seconds, the electric regulating valve and the variable frequency water pump return to normal. At this time, the electric regulating valve opens 80% and the variable frequency water pump speed is 100%;

[0074] When Q a >Q t +8%, the PID controller outputs the valve control instruction, closes the electric regulating valve of the current branch and starts the adjacent branch for diversion. a With Q t When the difference is less than 3% and lasts for 60 seconds, the electric regulating valve of the current branch is reopened and the adjacent branch is closed.

[0075] By dynamically calculating the actual flow rate at each location in the pipe network and generating valve control instructions through the pressure compensation module, the flow rate of the pipe network can be adjusted through the execution module, making the flow difference between the end and the beginning of the pipe network, making the irrigation of various parts of the garden more comprehensive and accurate.

[0076] An embodiment of the present application also provides a computer-readable storage medium, which can be any available medium that can be stored by a computing device or a data storage device such as a data center that contains one or more available media. The available medium can be a magnetic medium (for example, a floppy disk, a hard disk, a tape), an optical medium (for example, a DVD), or a semiconductor medium (for example, a solid-state drive), etc. The computer-readable storage medium contains instructions that instruct the computing device to execute the aforementioned time synchronization method.

[0077] The embodiment of the present application also provides a computer program product containing instructions. The computer program product may be a software or program product containing instructions that can be run on a computing device or stored in any available medium. When the computer program product is run on a computing device, the computing device executes the aforementioned time synchronization method.

[0078] In the description of the specification, reference to "one embodiment", "an example", "a specific example" or the like means that a particular feature, structure, material or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. The appearances of the phrases "in one embodiment", "an example", "a specific example" or the like in various places in the specification are not necessarily referring to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics can be combined in any suitable manner in one or more embodiments or examples.

[0079] The preferred embodiments of the application disclosed above are only to help explain the application. The preferred embodiments do not describe all the details of the application and limit the application to the specific embodiments described. Obviously, many modifications and variations can be made in light of the contents of the specification. The specification selects and specifically describes these embodiments in order to better explain the principles and practical application of the application, so that those skilled in the art can well understand and utilize the application. The application is limited only by the claims and their full scope and equivalents.

Claims

1. A smart garden irrigation control method, characterized in that: The intelligent garden irrigation control method includes the following steps: Collect soil humidity, temperature, and net radiation through the soil parameter detection module; Obtain wind speed, light intensity, and future rainfall prediction through the meteorological data collection module; Input the collected soil humidity, temperature, net radiation, wind speed, light intensity, and future rainfall prediction into the edge analysis module, and calculate and output a dynamic irrigation demand index based on the edge analysis module; The pressure compensation module generates a valve control instruction based on the analysis of the pipe network position; The execution module obtains the dynamic irrigation demand index and the valve control instruction for precise irrigation.

2. A smart garden irrigation control method according to claim 1, characterized in that: Calculating and outputting the dynamic irrigation demand index based on the edge analysis module includes: Obtain the crop type coefficient by matching the plant feature database; Input the soil humidity into the edge analysis module to output the standardized soil moisture index SSMI; Input the input temperature, net radiation, wind speed, and light intensity into the edge analysis module, and the edge analysis module calculates and outputs the evapotranspiration ETo using the Penman-Monteith formula; The edge analysis module obtains the crop type coefficient, SSMI, ETo, and future rainfall prediction, and outputs the dynamic irrigation demand index IDI.

3. The smart garden irrigation control method according to claim 2, characterized in that: The calculation method of the SSMI is as follows: Among them, θ a represents the actual value of soil moisture, θ max represents the maximum value of soil moisture, θ min Indicates the minimum value of soil moisture.

4. The smart garden irrigation control method according to claim 3, characterized in that: The calculation method of the IDI is as follows: IDI = α·(1 - SSMI) + β·ETo + γ·(1 - POP)·100 Where, POP represents the future rainfall prediction. When the crop type is lawn, α, β, and γ are 0.4, 0.4, and 0.2 respectively; when the crop type is arbor, α, β, and γ are 0.3, 0.5, and 0.2 respectively; when the crop type is flower, α, β, and γ are 0.5, 0.3, and 0.2 respectively.

5. The intelligent garden irrigation control method according to claim 4, characterized in that: The execution module obtains the dynamic irrigation demand index for precise irrigation, including: When the IDI < 20, the edge calculation module outputs an instruction 01 to the execution module, and the execution module does not irrigate; When 20 < IDI < 40, the edge calculation module outputs an instruction 02 to the execution module, and the irrigation duration of the execution module is 5 minutes; When 40 < IDI < 60, the edge calculation module outputs an instruction 03 to the execution module, and the irrigation duration of the execution module is 15 minutes; When 60 < ID, the edge calculation module outputs an instruction 04 to the execution module, and the irrigation duration of the execution module is 30 minutes.

6. The smart garden irrigation control method according to claim 1, characterized in that: The pressure compensation module includes a PID controller and a pressure sensor. The PID controller calculates the actual flow rate through pressure calculation, and the calculation method is as follows; Among them, Q a Indicates the actual flow rate, Q t represents the target flow, P n Indicates target pressure; P a Indicates actual pressure.

7. The smart garden irrigation control method according to claim 6, characterized in that: The execution module includes a variable frequency water pump and an electric control valve. The pressure compensation module generates a valve control instruction based on the analysis of the pipe network position, including; When Q a t -5%, and the duration is greater than or equal to 30 seconds, the PID controller outputs the valve control instruction, driving the electric regulating valve to open to 100% and the variable frequency water pump to speed up to 120%. a With Q t When the difference is less than 3% and lasts for 60 seconds, the electric regulating valve and the variable frequency water pump return to normal. At this time, the electric regulating valve opens 80% and the variable frequency water pump speed is 100%;​ When Q a >Q t +5%, and the duration is greater than or equal to 30 seconds, the PID controller outputs the valve control instruction, driving the electric regulating valve to open to 60% and the variable frequency water pump to increase the speed to 80%. a With Q t When the difference is less than 3% and lasts for 60 seconds, the electric regulating valve and the variable frequency water pump return to normal. At this time, the electric regulating valve opens 80% and the variable frequency water pump speed is 100%; When Q a >Q t +8%, the PID controller outputs the valve control instruction, closes the electric regulating valve of the current branch and starts the adjacent branch for diversion. a With Q t When the difference is less than 3% and lasts for 60 seconds, the electric regulating valve of the current branch is reopened and the adjacent branch is closed.

8. The intelligent garden irrigation control method according to claim 1, characterized in that: The soil parameter detection module includes a humidity sensor, a temperature sensor, and a net radiation sensor. The soil parameter detection module is distributed at three different depths. The meteorological data collection module includes a wind speed sensor, a light sensor, and an optical rain gauge.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a computer or a processor, the method according to any one of claims 1 to 8 is implemented.

10. A computer program product, characterized in that: The computer program product comprises a computer program, and when the computer program is executed by a computer or a processor, the computer or the processor is caused to perform the method according to any one of claims 1 to 8.

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