A smart garden irrigation control method

Abstract

The application discloses a kind of intelligent garden irrigation control methods, it is related to garden irrigation technical field, and its technical solution points are as follows: including the following steps: soil humidity, temperature, net radiation are collected by soil parameter detection module;Wind speed, light intensity and future rainfall prediction are obtained by weather data acquisition module;Dynamic irrigation demand index is calculated based on edge analysis module output;Pressure compensation module generates valve control instruction based on pipe network position analysis.The application can accurately irrigate gardens according to actual needs by collecting multiple data and calculating dynamic irrigation demand index with edge analysis module;By setting pressure compensation module, the actual flow size of each position of pipe network can be dynamically calculated, the flow size of pipe network is adjusted, and the flow difference of each part of pipe network can be reduced, so that the irrigation of each part of garden is more comprehensive and accurate.

Description

Technical Field

[0001] The present invention relates to the field of garden irrigation technology, and more specifically, to a smart garden irrigation control method. Background Technology

[0002] A garden irrigation control system is a system that uses modern information technology to automate garden irrigation. It uses sensors, controllers, communication networks and other equipment to achieve precise irrigation. By precisely controlling irrigation time and water volume, it improves resource utilization efficiency. At the same time, it reduces manpower requirements and saves maintenance costs through automated management.

[0003] Existing garden irrigation technologies generally rely solely on soil moisture testing, resulting in limited data and inaccurate assessments of whether irrigation is necessary. Furthermore, current technologies often fail to account for rainfall, potentially leading to excessive soil moisture after irrigation and negatively impacting garden growth. Additionally, existing irrigation pipelines experience pressure fluctuations, resulting in significant differences in flow rates between the beginning and end of the pipeline, leading to uneven irrigation.

[0004] Therefore, a new solution is needed to address this problem. Summary of the Invention

[0005] The purpose of this invention is to provide a smart garden irrigation control method to solve the above-mentioned problems.

[0006] The above-mentioned technical objective of this invention is achieved through the following technical solution: a smart garden irrigation control method, the smart garden irrigation control method comprising the following steps:

[0007] Soil moisture, temperature, and net radiation are collected using a soil parameter detection module.

[0008] The meteorological data acquisition module obtains wind speed, light intensity, and future rainfall forecasts.

[0009] The collected soil moisture, temperature, net radiation, wind speed, light intensity, and future rainfall forecasts are input into the edge analysis module, and the dynamic irrigation demand index is calculated and output based on the edge analysis module.

[0010] The pressure compensation module generates valve control commands based on pipeline location analysis;

[0011] The execution module obtains the dynamic irrigation demand index and valve control commands to perform precise irrigation.

[0012] The present invention is further configured such that: the dynamic irrigation demand index is calculated and output based on the edge analysis module, including:

[0013] Obtain the crop type coefficient by matching the plant feature database;

[0014] Input the soil humidity into the edge analysis module, and output the standardized soil moisture index SSMI;

[0015] 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;

[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 present invention is further configured as follows: The calculation method of the SSMI is as follows:

[0018]

[0019] where, θ a [[ID=2A]]represents the actual value of the soil humidity, θ max represents the maximum value of the soil humidity, θ min represents the minimum value of the soil humidity.

[0020] The present invention is further configured as follows: The calculation method of the IDI is as follows:

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

[0022] 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 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.

[0023] The present invention is further configured as follows: The execution module obtains the dynamic irrigation demand index, and the precise irrigation includes:

[0024] When the IDI < 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 <ID is less than 60, the edge computing module outputs a 04 instruction to the execution module, and the irrigation duration of the execution module is 30 minutes.

[0028] The present invention is further configured that: the pressure compensation module includes a PID controller and a pressure sensor, and the PID controller outputs an actual flow rate through pressure calculation, and the calculation method is as follows;

[0029]

[0030] Where, 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 present invention is further configured that: the execution module includes a variable frequency water pump and an electric control valve, and the pressure compensation module generates a valve control instruction based on the analysis of the pipe network position, including;

[0032] When Q a < Q t - 5%, and the duration is greater than or equal to 30 seconds, the PID controller outputs a valve control instruction to drive the electric control valve to open to 100% and the variable frequency water pump to speed up to 120%. When the difference between Q a and Q t is less than 3% and lasts for 60 seconds, the electric control valve and the variable frequency water pump return to normal. At this time, the electric control valve opens 80%, and the variable frequency water pump speeds 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 a valve control instruction to drive the electric control valve to open to 60% and the variable frequency water pump to speed up to 80%. When the difference between Q a and Q t is less than 3% and lasts for 60 seconds, the electric control valve and the variable frequency water pump return to normal. At this time, the electric control valve opens 80%, and the variable frequency water pump speeds up to 100%;

[0034] When Q a > Q t + 8%, the PID controller outputs a valve control instruction to close the electric control valve of the current branch and start the adjacent branch for diversion. When the difference between Q a and Q t is less than 3% and lasts for 60 seconds, reopen the electric control valve of the current branch and close the adjacent branch.

[0035] The present invention is further configured such 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, and the meteorological data acquisition module includes a wind speed sensor, a light sensor and an optical rain gauge.

[0036] The present invention is further configured such that: the computer-readable storage medium stores a computer program, which, when executed by a computer or processor, implements any of the methods described above.

[0037] The present invention is further configured such that: the computer program product includes a computer program, which, when executed by a computer or processor, causes the computer or processor to perform the method described in any of the above-mentioned embodiments.

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

[0039] By adding a soil parameter detection module and a meteorological data acquisition module, it is possible to collect diverse data such as soil moisture, temperature, net radiation, wind speed, light intensity, and future rainfall forecasts. Then, through the edge analysis module, a dynamic irrigation demand index is calculated and output, which enables precise irrigation of the garden according to actual needs.

[0040] By setting up a pressure compensation module, the actual flow rate at various locations in the pipeline network can be dynamically calculated. When the actual flow rate at a certain end of the pipeline network is too high or too low, the pressure compensation module generates a valve control command, which is then executed by the module to adjust the flow rate of the pipeline network. This reduces the flow rate difference at various points in the pipeline network, making irrigation of the garden more comprehensive and precise. Attached Figure Description

[0041] Figure 1 This is a flowchart illustrating a smart garden irrigation control method according to the present invention.

[0042] Figure 2 This is a flowchart illustrating the valve control commands in a smart garden irrigation control method according to the present invention. Detailed Implementation

[0043] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

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

[0045] Step 101: Collect soil moisture, temperature, and net radiation using the soil parameter detection module;

[0046] Step 102: Obtain wind speed, light intensity, and future rainfall forecast through the meteorological data acquisition module;

[0047] Step 103: Input the collected soil moisture, temperature, net radiation, wind speed, light intensity, and future rainfall forecast into the edge analysis module, and calculate and output the dynamic irrigation demand index based on the edge analysis module;

[0048] Step 104: The pressure compensation module generates valve control commands based on pipeline location analysis;

[0049] Step 105: The execution module obtains the dynamic irrigation demand index and valve control commands to carry out precise irrigation.

[0050] Specifically, by adding a soil parameter detection module and a meteorological data acquisition module, it is possible to collect diverse data such as soil moisture, temperature, net radiation, wind speed, light intensity, and future rainfall forecasts. Then, through the edge analysis module, a dynamic irrigation demand index is calculated and output, which enables precise irrigation of the garden according to actual needs.

[0051] Furthermore, by setting up a pressure compensation module, the actual flow rate at various locations in the pipeline network can be dynamically calculated. When the actual flow rate at a certain end of the pipeline network is too high or too low, the pressure compensation module generates a valve control command, which is then executed by the module to adjust the flow rate of the pipeline network. This reduces the flow rate difference at various points in the pipeline network, making irrigation of the garden more comprehensive and precise.

[0052] Specifically, the soil parameter detection module includes a humidity sensor, a temperature sensor, and a net radiation sensor, while the meteorological data acquisition module includes a wind speed sensor, a light sensor, and an optical rain gauge. The soil parameter detection module is distributed at three different depths: a 10cm depth for detecting the surface evaporation layer, a 30cm depth for detecting the water absorption layer of the main root system, and a 50cm depth for detecting deep infiltration. By detecting the soil at different depths, more accurate data on the actual condition of the soil can be obtained. At the same time, by incorporating future rainfall forecasts, the actual irrigation needs of garden plants can be calculated more accurately based on future rainfall conditions.

[0053] For details, please refer to Figure 1 As shown, in step 103, the dynamic irrigation demand index calculated and output based on the edge analysis module includes:

[0054] By acquiring plant characteristic databases and matching crop type coefficients, different analyses can be performed on different types of crops in the garden, so as to provide different irrigation needs based on different crop types.

[0055] Soil moisture is input into the edge analysis module, which outputs the standardized soil moisture index (SSMI), thus obtaining the long-term average soil moisture status. Irrigation is then carried out based on the actual soil conditions. The SSMI calculation method is as follows:

[0056]

[0057] Where, θ a θ represents the actual value of soil moisture. max θ represents the maximum soil moisture content. min The SSMI value represents the minimum soil moisture content; the lower the SSMI value, the drier the soil.

[0058] Input temperature, net radiation, wind speed, and light intensity into the edge analysis module. The edge analysis module uses the Penman-Monteith formula to calculate the output evapotranspiration ETo. The larger the evapotranspiration ETo, the higher the steam temperature and the greater the evaporation. Thus, when irrigating, the actual evapotranspiration can be combined to predict the future evapotranspiration of crops in the garden and irrigate with appropriate water sources.

[0059] The edge analysis module acquires crop type coefficients, SSMI, ETO, and future rainfall forecasts, and outputs the Dynamic Irrigation Demand Index (IDI). By combining crop type coefficients, standardized soil moisture index (SSMI), evapotranspiration (ETO), and future rainfall forecasts, it can analyze the actual irrigation needs of the garden from multiple perspectives, making different irrigation requirements for different types of crops and different weather conditions, thus 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] Wherein, POP represents the predicted future rainfall. 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 flowers, 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 01 instructions to the execution module, and the execution module does not perform irrigation.

[0064] When 20 < IDI < 40, the edge computing module outputs the 02 instruction 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 the 03 instruction to the execution module, and the irrigation duration of the execution module is 15 minutes;

[0066] When 60 < ID, the edge computing module outputs the 04 instruction 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 SSMI value is 40, the ETo value is 4.5, and the POP is 0.3, the soil humidity is moderately drought at this time, the evapotranspiration is medium 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 the 03 instruction to the execution module, and the irrigation duration of the execution module is 15 minutes; when the crops in the garden are arbors, the SSMI value is 80, the ETo value is 2.1, and the POP is 0.8, the soil humidity is soil wet at this time, 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 the 01 instruction to the execution module, and the execution module does not perform irrigation.

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

[0069]

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

[0071] Furthermore, the execution module includes a variable-frequency water pump and an electric control valve. The variable-frequency water pump provides an adjustable pipe network pressure source to adjust the conveyance of water flow and dynamically adjusts the output pressure in response to the edge control instruction. The electric control valve receives the PID control signal and precisely adjusts the flow of each branch. The valve control instruction generated by the pressure compensation module based on the pipe network position analysis includes;

[0072] When Q a < Q tWhen the value is -5% and the duration is greater than or equal to 30 seconds, the PID controller outputs a valve control command, causing the electric regulating valve to open to 100% and the variable frequency water pump to accelerate 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 to 80% and the variable frequency water pump speeds up to 100%.

[0073] When Q a Q t When Q = +5% and the duration is greater than or equal to 30 seconds, the PID controller outputs a valve control command, causing the electric regulating valve to open to 60% and the variable frequency water pump to accelerate 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 to 80% and the variable frequency water pump speeds up to 100%.

[0074] When Q a Q t When Q = +8%, the PID controller outputs a valve control command, closing the electric regulating valve of the current branch and starting the adjacent branch for flow diversion. a With Q t If the difference is less than 3% and lasts for 60 seconds, reopen the electric regulating valve of the current branch and close the adjacent branch.

[0075] By dynamically calculating the actual flow rate at various locations in the pipeline network and generating valve control commands through the pressure compensation module, the flow rate in the pipeline network is adjusted by the execution module. This results in a difference in flow rate between the end and beginning of the pipeline network, making irrigation of various parts of the garden more comprehensive and precise.

[0076] This application embodiment also provides a computer-readable storage medium, which can be any available medium that a computing device can store or a data storage device such as a data center containing one or more available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid-state drive). The computer-readable storage medium contains instructions that instruct the computing device to perform the aforementioned time synchronization method.

[0077] This application also provides a computer program product containing instructions. This computer program product may be a software or program product containing instructions, capable of running on a computing device or stored on any usable medium. When the computer program product runs on the computer device, it causes the computing device to execute the aforementioned time synchronization method.

[0078] In the description of this specification, references to terms such as "an embodiment," "example," and "specific example" indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0079] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to the specific implementations described. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention 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 the dynamic irrigation demand index based on the edge analysis module; The pressure compensation module generates valve control instructions based on the analysis of the pipe network position; The execution module obtains the dynamic irrigation demand index and the valve control instructions for precise irrigation; 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; The calculation method of SSMI is as follows: SSMI= ; in, This represents the actual value of soil moisture. This indicates the maximum soil moisture content. This indicates the minimum soil moisture content. The calculation method of 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; The pressure compensation module includes a PID controller and a pressure sensor. The PID controller calculates and outputs the actual flow rate through pressure calculation, and the calculation method is as follows; · ； in, Indicates actual traffic volume. Indicates the target traffic. Indicates target pressure; Indicates actual pressure; The execution module includes a variable frequency water pump and an electric control valve. The pressure compensation module generates valve control instructions based on the analysis of the pipe network position, including; when When the value is -5% and the duration is greater than or equal to 30 seconds, the PID controller outputs a valve control command, causing the electric regulating valve to open to 100% and the variable frequency water pump to accelerate to 120%. and 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 to 80% and the variable frequency water pump speeds up to 100%. when When the value increases by 5% and the duration is greater than or equal to 30 seconds, the PID controller outputs a valve control command, causing the electric regulating valve to open to 60% and the variable frequency water pump to accelerate to 80%. and 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 to 80% and the variable frequency water pump speeds up to 100%. when When the flow rate reaches +8%, the PID controller outputs a valve control command, closing the electric regulating valve of the current branch and starting the adjacent branch for flow diversion. and If the difference is less than 3% and lasts for 60 seconds, reopen the electric regulating valve of the current branch and close the adjacent branch.

2. The intelligent garden irrigation control method according to claim 1, characterized in that: The execution module obtains the dynamic irrigation demand index for precise irrigation, including: When IDI < 20, the edge calculation module outputs a 01 instruction to the execution module, and the execution module does not irrigate; When 20 < IDI < 40, the edge calculation module outputs a 02 instruction to the execution module, and the execution module irrigates for 5 minutes; When 40 < IDI < 60, the edge calculation module outputs a 03 instruction to the execution module, and the execution module irrigates for 15 minutes; When 60 < IDI, the edge calculation module outputs a 04 instruction to the execution module, and the execution module irrigates for 30 minutes.

3. 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.

4. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program that, when executed by a computer or processor, implements the method described in any one of claims 1-3.

5. A computer program product, characterized in that: The computer program product includes a computer program that, when executed by a computer or processor, causes the computer or processor to perform the method as described in any one of claims 1-3.

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