A method and device for intelligent control of sprinkler irrigation machines

Abstract

This invention provides an intelligent control method and device for a sprinkler irrigation machine. The method includes: acquiring basic sprinkler irrigation parameters, seedling dynamic data, environmental parameters, and sprinkler irrigation machine equipment parameters; determining the nozzle flow rate based on the basic sprinkler irrigation parameters and the sprinkler irrigation machine equipment parameters; determining the spray particle size and the sprinkler irrigation machine travel speed based on the sprinkler irrigation machine equipment parameters; adjusting the nozzle flow rate, the spray particle size, and the sprinkler irrigation machine travel speed based on the basic sprinkler irrigation parameters, the seedling dynamic data, and the environmental parameters to obtain intelligent control parameters for the sprinkler irrigation machine; and controlling the sprinkler irrigation machine to operate according to the intelligent control parameters. This invention can improve the control accuracy of the sprinkler irrigation machine, reduce labor costs, and achieve precise and efficient management of seedling irrigation, which is beneficial to the healthy growth of seedlings.

Description

Technical Field

[0001] This invention relates to the field of sprinkler irrigation machine control technology, and also to an intelligent control method and device for sprinkler irrigation machines. Background Technology

[0002] A mobile sprinkler irrigation system is an irrigation device that integrates pressurization, water delivery, spraying, and movement into a single, mobile unit. Driven by a power source, it achieves flexible movement and precise irrigation, featuring water conservation, high efficiency, strong adaptability, and flexible operation. It is widely used in agricultural, horticultural, and sports field irrigation scenarios. Traditional mobile sprinkler irrigation systems used in greenhouse seedling production employ three-position switching nozzles with fixed flow rates. Users manually start and stop these nozzles based on experience, which cannot guarantee irrigation quality. Furthermore, the three-position switching nozzles must be manually rotated for switching; if users fail to switch nozzles promptly or incorrectly, it can easily lead to uneven irrigation and affect seedling quality. In summary, existing control methods for mobile sprinkler irrigation systems suffer from cumbersome switching and inaccurate flow control, easily resulting in over-irrigation, water and fertilizer waste, and negatively impacting seedling quality. Summary of the Invention

[0003] The technical problem to be solved by the present invention is to provide an intelligent control method and device for sprinkler irrigation machines, so as to improve the control accuracy of sprinkler irrigation machines and reduce labor costs.

[0004] To solve the above-mentioned technical problems, the technical solution of the present invention is as follows:

[0005] A first aspect of the present invention provides an intelligent control method for a sprinkler irrigation machine, comprising:

[0006] Obtain basic parameters for sprinkler irrigation, dynamic data on seedlings, environmental parameters, and parameters for sprinkler irrigation equipment;

[0007] The nozzle flow rate is determined based on the basic parameters of the sprinkler irrigation system and the parameters of the sprinkler irrigation machine.

[0008] Based on the parameters of the sprinkler irrigation machine, determine the spray particle size and the travel speed of the sprinkler irrigation machine;

[0009] Based on the basic sprinkler irrigation parameters, the seedling dynamic data, and the environmental parameters, the nozzle flow rate, the spray particle size, and the sprinkler machine travel speed are adjusted to obtain the intelligent control parameters of the sprinkler machine.

[0010] The sprinkler machine is controlled to operate according to the intelligent control parameters of the sprinkler machine.

[0011] Optionally, obtain basic sprinkler irrigation parameters, seedling dynamic data, environmental parameters, and sprinkler irrigation equipment parameters, including:

[0012] Obtain basic sprinkler irrigation parameters; the basic sprinkler irrigation parameters include the start time of a single sprinkler irrigation cycle. Sprinkler irrigation duration Total sprinkler volume Seedbed length Seedbed width and seedling distribution density ;

[0013] Acquire seedling dynamic data; the seedling dynamic data includes leaf area index (LAI) and seedling height. ;

[0014] Obtain environmental parameters; these parameters include evaporation rate (E), air humidity (RH), temperature (T), and soil moisture. ;

[0015] Obtain the parameters of the sprinkler irrigation machine; the parameters include the number of sprinkler heads n, the effective coverage radius of the sprinkler head r, and the sprinkler head rotation speed. Nozzle pressure P and water pump efficiency .

[0016] Optionally, the sprinkler head flow rate is determined based on the basic sprinkler irrigation parameters and the sprinkler irrigation machine equipment parameters, including:

[0017] according to Determine the nozzle flow rate;

[0018] in, For nozzle flow rate, This refers to the irrigation volume per sprinkler head. , Let n be the total irrigation volume and n be the number of sprinkler heads. This refers to the duration of sprinkler irrigation.

[0019] Optionally, the spray particle size is determined based on the parameters of the sprinkler irrigation equipment, including:

[0020] according to Determine the spray particle size;

[0021] Where d represents the spray particle size. For nozzle model constants, Where is the nozzle rotation speed, and P is the nozzle pressure.

[0022] Optionally, the travel speed of the sprinkler irrigation machine is determined based on the machine's parameters, including:

[0023] according to Determine the travel speed of the sprinkler machine;

[0024] in, R is the traveling speed of the irrigation machine, and r is the effective coverage radius of the nozzle. The nozzle rotation speed, This is the nozzle overlap factor, with a value ranging from 0.7 to 0.9.

[0025] Optionally, based on the basic irrigation parameters, the seedling dynamic data, and the environmental parameters, the nozzle flow rate, the spray particle size, and the sprinkler machine travel speed are adjusted to obtain intelligent control parameters for the sprinkler machine, including:

[0026] Based on the seedbed width in the basic parameters of the sprinkler irrigation The environmental parameters include evaporation E and soil moisture. The leaf area index (LAI) in the seedling dynamic data is used to adjust the nozzle flow rate to obtain the adjusted nozzle flow rate.

[0027] The spray particle size is adjusted based on the leaf area index (LAI) in the seedling dynamic data to obtain the adjusted spray particle size.

[0028] Based on the seedling height in the seedling dynamic data The travel speed of the sprinkler machine is adjusted to obtain the adjusted travel speed of the sprinkler machine;

[0029] The intelligent control parameters of the sprinkler are determined based on the adjusted nozzle flow rate, the adjusted spray particle size, and the adjusted sprinkler travel speed.

[0030] Optionally, the method further includes:

[0031] Obtain the real-time operating status information of the sprinkler machine;

[0032] Safety status monitoring is performed based on the real-time operating status information.

[0033] A second aspect of the present invention provides an intelligent control device for a sprinkler irrigation machine, comprising:

[0034] The acquisition module is used to acquire basic parameters of sprinkler irrigation, dynamic data of seedlings, environmental parameters, and parameters of sprinkler irrigation equipment.

[0035] The processing module is used to determine the nozzle flow rate based on the basic irrigation parameters and the sprinkler machine equipment parameters; determine the spray particle size and the sprinkler machine travel speed based on the sprinkler machine equipment parameters; adjust the nozzle flow rate, the spray particle size, and the sprinkler machine travel speed based on the basic irrigation parameters, the seedling dynamic data, and the environmental parameters to obtain intelligent control parameters for the sprinkler machine; and control the sprinkler machine to operate according to the intelligent control parameters.

[0036] A third aspect of the present invention provides a computing device, comprising: a processor and a memory storing a computer program, wherein the computer program, when executed by the processor, performs the method described in the first aspect.

[0037] A fourth aspect of the present invention provides a computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to perform the method as described in the first aspect.

[0038] The above-described solution of the present invention has at least the following beneficial effects:

[0039] The above-mentioned solution of the present invention obtains basic irrigation parameters, seedling dynamic data, environmental parameters, and sprinkler equipment parameters to determine the nozzle flow rate, spray particle size, and sprinkler machine travel speed. Then, based on the basic irrigation parameters, seedling dynamic data, and environmental parameters, the nozzle flow rate, spray particle size, and sprinkler machine travel speed are adjusted to obtain intelligent control parameters for the sprinkler machine. Finally, the sprinkler machine is controlled to operate according to the intelligent control parameters, which can improve the control accuracy of the sprinkler machine, reduce labor costs, and achieve precise and efficient management of seedling irrigation, which is beneficial to the healthy growth of seedlings. Attached Figure Description

[0040] Figure 1 This is a flowchart illustrating the intelligent control method for sprinkler irrigation machines in an embodiment of the present invention.

[0041] Figure 2 This is a schematic diagram of the intelligent control device for the sprinkler irrigation machine in an embodiment of the present invention. Detailed Implementation

[0042] Exemplary embodiments of the invention will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this invention will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.

[0043] like Figure 1 As shown, an embodiment of the present invention proposes an intelligent control method for a sprinkler irrigation machine, comprising the following steps:

[0044] Step 101: Obtain basic sprinkler irrigation parameters, seedling dynamic data, environmental parameters, and sprinkler irrigation equipment parameters;

[0045] Step 102: Determine the nozzle flow rate based on the basic sprinkler irrigation parameters and the sprinkler irrigation machine equipment parameters;

[0046] Step 103: Determine the spray particle size and the travel speed of the sprinkler irrigation machine based on the equipment parameters.

[0047] Step 104: Based on the basic irrigation parameters, the seedling dynamic data, and the environmental parameters, adjust the nozzle flow rate, the spray particle size, and the irrigation machine travel speed to obtain the intelligent control parameters of the irrigation machine.

[0048] Step 105: Control the sprinkler to operate according to the intelligent control parameters of the sprinkler.

[0049] The intelligent control method for sprinkler irrigation machines in this invention obtains basic sprinkler irrigation parameters, seedling dynamic data, environmental parameters, and sprinkler irrigation machine equipment parameters to determine the nozzle flow rate, spray particle size, and sprinkler irrigation machine travel speed. Then, based on the basic sprinkler irrigation parameters, seedling dynamic data, and environmental parameters, the nozzle flow rate, spray particle size, and sprinkler irrigation machine travel speed are adjusted to obtain intelligent control parameters for the sprinkler irrigation machine. Finally, the sprinkler irrigation machine is controlled to operate according to these intelligent control parameters. This method improves the control accuracy of the sprinkler irrigation machine, reduces labor costs, and achieves precise and efficient management of seedling irrigation, which is beneficial to the healthy growth of seedlings.

[0050] In an optional embodiment of the present invention, step 101 includes:

[0051] Step 1011: Obtain basic sprinkler irrigation parameters; the basic sprinkler irrigation parameters include the start time of a single sprinkler irrigation session. Sprinkler irrigation duration Total sprinkler volume Seedbed length Seedbed width and seedling distribution density ;

[0052] Step 1012: Obtain seedling dynamic data; the seedling dynamic data includes leaf area index (LAI) and seedling height. ;

[0053] Step 1013: Obtain environmental parameters; the environmental parameters include evaporation rate E, air humidity RH, temperature T, and soil moisture. ;

[0054] Step 1014: Obtain sprinkler machine equipment parameters; the sprinkler machine equipment parameters include the number of sprinkler heads n, the effective coverage radius of the sprinkler head r, and the sprinkler head rotation speed. Nozzle pressure P and water pump efficiency .

[0055] Specifically, the above data is obtained as the basis for subsequent calculations of sprinkler flow rate, spray particle size, and sprinkler machine travel speed, improving calculation efficiency and accuracy. Among these, the Leaf Area Index (LAI) is the ratio of the total leaf area of ​​plants per unit ground area to the ground area (dimensionless); it reflects crop canopy density and directly affects transpiration rate and light interception capacity. Generally, it is taken as 0.5 to 2.0 during the seedling stage and 2.0 to 6.0 during the seedling growth stage. Seedling height. The height is taken as 5 to 30 cm during the seedling stage and 30 to 200 cm during the mature stage. The leaf area index (LAI) and seedling height can be adjusted according to actual conditions. The value of is adjusted, including but not limited to the range of values ​​mentioned above.

[0056] In an optional embodiment of the present invention, step 102 includes:

[0057] according to Determine the nozzle flow rate;

[0058] in, The nozzle flow rate is (L / min). The irrigation volume per sprinkler head (liters, L). , The total irrigation volume is liters (L), and n is the number of sprinkler heads. This refers to the duration of sprinkler irrigation (in minutes).

[0059] Specifically, the sprinkler flow rate calculated using the above formula can meet the requirement of completing the total irrigation volume within the specified time.

[0060] In an optional embodiment of the present invention, step 103, determining the spray particle size based on the parameters of the sprinkler irrigation machine, includes:

[0061] according to Determine the spray particle size;

[0062] Where d is the spray particle size (μm). For nozzle model constants, Where is the nozzle rotation speed (rpm), and P is the nozzle pressure (bar), which can be determined by the water pump power, and is generally taken as 2 to 5 bar.

[0063] In an optional embodiment of the present invention, step 103, determining the travel speed of the sprinkler irrigation machine based on the equipment parameters, includes:

[0064] according to Determine the travel speed of the sprinkler machine;

[0065] in, R is the traveling speed of the irrigation machine (m / min), and r is the effective coverage radius of the nozzle (m). This refers to the nozzle rotation speed (rpm). This is the nozzle overlap factor, with a value ranging from 0.7 to 0.9.

[0066] In an optional embodiment of the present invention, step 104 includes:

[0067] Step 1041, based on the seedbed width in the sprinkler irrigation basic parameters. The environmental parameters include evaporation E and soil moisture. The leaf area index (LAI) in the seedling dynamic data is used to adjust the nozzle flow rate to obtain the adjusted nozzle flow rate.

[0068] Specifically, firstly, according to Calculate the corrected total sprinkler irrigation volume, where, This is the corrected total sprinkler volume. This represents the total sprinkler irrigation volume. , Here, E is the weighting coefficient, and E is the evaporation rate. The baseline evaporation rate (which is related to soil moisture content and seedling coverage; in one specific embodiment, the baseline evaporation rate ranges from 0.1 to 1.2 mm / d). For soil moisture, The optimal soil moisture content (the optimal soil moisture content varies depending on the type of seedling and its growth stage, and can be determined according to the actual situation. In a specific embodiment, the optimal soil moisture content ranges from 60% to 85%).

[0069] Then, based on the leaf area index (LAI) and Calculate the total sprinkler irrigation volume after the second correction, where, This is the total sprinkler irrigation volume after secondary correction. The total sprinkler irrigation volume is the corrected value; LAI is the leaf area index. This is the LAI correction factor, with a value ranging from 0.1 to 0.3. Based on (In one specific embodiment, The value range is from 0 to 10).

[0070] After that, the width of the seedbed Need to meet If the requirements are not met, the number of sprinkler heads n or the sprinkler overlap coefficient in the sprinkler machine equipment parameters need to be adjusted. until , will satisfy The number of nozzles n in the original text is used as the adjusted number of nozzles. ;

[0071] Then, based on the adjusted number of nozzles Total sprinkler irrigation volume after secondary correction and The adjusted single-nozzle irrigation volume was calculated. ;

[0072] Finally, according to Determine the adjusted nozzle flow rate; among which, The adjusted nozzle flow rate This is the adjusted single-nozzle irrigation volume. This refers to the duration of sprinkler irrigation.

[0073] Step 1042: Adjust the spray particle size according to the leaf area index (LAI) in the seedling dynamic data to obtain the adjusted spray particle size;

[0074] Specifically, according to The adjusted spray particle size was calculated; where, The adjusted spray particle size is represented by d, where d is the spray particle size. is the particle size adjustment factor, ranging from 0.5 to 1.0; LAI is the leaf area index. Based on (In one specific embodiment, The value range is from 0 to 10. This is the maximum LAI (Lower Intake) for the entire growth period of the seedling, and the specific setting varies depending on the type of seedling, such as a value of 10.

[0075] Step 1043, based on the seedling height in the seedling dynamic data The travel speed of the sprinkler machine is adjusted to obtain the adjusted travel speed of the sprinkler machine;

[0076] Specifically, increased plant height reduces spray penetration, necessitating slower walking speed to prolong wetting time. Therefore, this can be achieved through... The adjusted travel speed of the sprinkler was calculated, where, To adjust the travel speed of the sprinkler machine, The speed at which the irrigation machine travels. For seedling height, This is the baseline height for seedlings, such as 10cm for seedlings. This refers to the maximum height of the seedling throughout its entire growth period, such as 1.2m.

[0077] In another alternative embodiment, the sprinkler head height of the sprinkler machine must meet the following requirements. This is to allow space for spray settling, and when the wind speed is greater than 3 m / s, the nozzle height must meet the following requirements. To prevent drift loss. Where H is the nozzle height, Seedling height;

[0078] The spray droplet distribution is affected by altitude, and the effective coverage radius of the nozzle is corrected to... ,in, The corrected effective coverage radius of the nozzle is denoted by r, where r is the effective coverage radius of the nozzle (e.g., 1.5m), and H is the nozzle height. Design the nozzle height, such as 1.5m.

[0079] pass The adjusted travel speed of the sprinkler was calculated.

[0080] Step 1044: Determine the intelligent control parameters of the sprinkler based on the adjusted nozzle flow rate, the adjusted spray particle size, and the adjusted sprinkler travel speed.

[0081] Specifically, the adjusted nozzle flow rate, adjusted spray particle size, and adjusted sprinkler travel speed can be converted into a format that the sprinkler can recognize, serving as intelligent control parameters for the sprinkler. This allows the intelligent control parameters to be directly input into the sprinkler's control system, enabling the sprinkler to operate according to these parameters.

[0082] In an optional embodiment of the present invention, in step 105, the intelligent control parameters of the sprinkler irrigation machine that can be recognized by the sprinkler irrigation machine can be directly input into the control system of the sprinkler irrigation machine, so that the sprinkler irrigation machine operates according to the intelligent control parameters. Here, the sprinkler irrigation machine can be a self-propelled intelligent sprinkler irrigation machine, which is equipped with a high-speed centrifugal nozzle to achieve precise and efficient control of seedling irrigation, and can also achieve the function of atomization cooling at high temperatures.

[0083] In an optional embodiment of the present invention, the method further includes:

[0084] Step 106: Obtain the real-time operating status information of the sprinkler machine;

[0085] Specifically, it can acquire data such as the current and voltage of the sprinkler's walking motor, the power and current of the water pump, and the tilt angle of the sprinkler, as real-time operating status information for subsequent safety monitoring and data storage.

[0086] Step 107: Perform safety status monitoring based on the real-time operating status information.

[0087] Specifically, real-time operational status information can be used to monitor the safety status of sprinkler irrigation machines, enabling remote operation and maintenance of the equipment and improving intelligence and automation. Furthermore, the real-time operational status information can be stored as irrigation log data to assist technicians in analyzing the data and continuously optimizing irrigation strategies.

[0088] A specific embodiment of the intelligent control method for sprinkler irrigation machines according to the present invention includes:

[0089] Step 111: Obtain basic sprinkler irrigation parameters, seedling dynamic data, environmental parameters, and sprinkler irrigation equipment parameters;

[0090] Obtain basic parameters of sprinkler irrigation, seedling dynamic data, environmental parameters, and sprinkler equipment parameters, which serve as the basis for subsequent calculations of nozzle flow rate, spray particle size, and sprinkler travel speed.

[0091] Step 112, determine the nozzle flow rate;

[0092] The sprinkler head flow rate can be calculated based on the basic parameters of sprinkler irrigation, the parameters of sprinkler irrigation equipment, and the corresponding formulas.

[0093] Step 113: Determine the spray particle size and the travel speed of the sprinkler machine;

[0094] Based on the parameters of the sprinkler irrigation machine and the corresponding formulas, the spray particle size and the traveling speed of the sprinkler irrigation machine can be calculated.

[0095] Step 114: Adjust the nozzle flow rate, spray particle size, and sprinkler travel speed to obtain the intelligent control parameters of the sprinkler.

[0096] Based on basic sprinkler irrigation parameters, seedling dynamic data, and environmental parameters, the sprinkler head flow rate, spray particle size, and sprinkler machine travel speed are adjusted, and the adjusted data is converted into a format that the sprinkler machine can recognize, serving as intelligent control parameters for the sprinkler machine.

[0097] Step 115: Control the sprinkler to operate according to the intelligent control parameters of the sprinkler;

[0098] The intelligent control parameters of the sprinkler irrigation machine that can be recognized are directly input into the control system of the sprinkler irrigation machine, so that the sprinkler irrigation machine operates according to the intelligent control parameters to irrigate the seedlings.

[0099] Step 116: Obtain the real-time operating status information of the sprinkler system;

[0100] The system acquires data on the current and voltage of the sprinkler's traveling motor, the power and current of the water pump, and the sprinkler's tilt angle, among other things, to provide real-time operating status information for subsequent safety monitoring and data storage.

[0101] Step 117: Perform safety status monitoring based on the real-time operating status information.

[0102] By monitoring the safety status of sprinkler irrigation machines based on real-time operational status information, remote operation and maintenance of the equipment can be achieved, improving intelligence and automation. The real-time operational status information can also be stored as irrigation log data to assist technicians in analyzing the data and continuously optimizing irrigation strategies.

[0103] The intelligent control method for sprinkler irrigation machines in this invention enables the setting of sprinkler irrigation behaviors such as the walking speed, flow rate, and spray particle size of the sprinkler irrigation machine on a per-head basis, thereby achieving precise and efficient control of seedling irrigation and cost savings.

[0104] like Figure 2As shown, an embodiment of the present invention provides an intelligent control device 200 for a sprinkler irrigation machine, comprising:

[0105] Module 201 is used to acquire basic parameters of sprinkler irrigation, dynamic data of seedlings, environmental parameters and parameters of sprinkler irrigation equipment;

[0106] The processing module 202 is used to determine the nozzle flow rate based on the basic irrigation parameters and the sprinkler machine equipment parameters; determine the spray particle size and the sprinkler machine travel speed based on the sprinkler machine equipment parameters; adjust the nozzle flow rate, the spray particle size, and the sprinkler machine travel speed based on the basic irrigation parameters, the seedling dynamic data, and the environmental parameters to obtain intelligent control parameters for the sprinkler machine; and control the sprinkler machine to operate according to the intelligent control parameters for the sprinkler machine.

[0107] Optionally, obtain basic sprinkler irrigation parameters, seedling dynamic data, environmental parameters, and sprinkler irrigation equipment parameters, including:

[0108] Obtain basic sprinkler irrigation parameters; the basic sprinkler irrigation parameters include the start time of a single sprinkler irrigation cycle. Sprinkler irrigation duration Total sprinkler volume Seedbed length Seedbed width and seedling distribution density ;

[0109] Acquire seedling dynamic data; the seedling dynamic data includes leaf area index (LAI) and seedling height. ;

[0110] Obtain environmental parameters; these parameters include evaporation rate (E), air humidity (RH), temperature (T), and soil moisture. ;

[0111] Obtain the parameters of the sprinkler irrigation machine; the parameters include the number of sprinkler heads n, the effective coverage radius of the sprinkler head r, and the sprinkler head rotation speed. Nozzle pressure P and water pump efficiency .

[0112] Optionally, the sprinkler head flow rate is determined based on the basic sprinkler irrigation parameters and the sprinkler irrigation machine equipment parameters, including:

[0113] according to Determine the nozzle flow rate;

[0114] in, For nozzle flow rate, This refers to the irrigation volume per sprinkler head. , Let n be the total irrigation volume and n be the number of sprinkler heads. This refers to the duration of sprinkler irrigation.

[0115] Optionally, the spray particle size is determined based on the parameters of the sprinkler irrigation equipment, including:

[0116] according to Determine the spray particle size;

[0117] Where d represents the spray particle size. For nozzle model constants, Where is the nozzle rotation speed, and P is the nozzle pressure.

[0118] Optionally, the travel speed of the sprinkler irrigation machine is determined based on the machine's parameters, including:

[0119] according to Determine the travel speed of the sprinkler machine;

[0120] in, R is the traveling speed of the irrigation machine, and r is the effective coverage radius of the nozzle. The nozzle rotation speed, This is the nozzle overlap factor, with a value ranging from 0.7 to 0.9.

[0121] Optionally, based on the basic irrigation parameters, the seedling dynamic data, and the environmental parameters, the nozzle flow rate, the spray particle size, and the sprinkler machine travel speed are adjusted to obtain intelligent control parameters for the sprinkler machine, including:

[0122] Based on the seedbed width in the basic parameters of the sprinkler irrigation The environmental parameters include evaporation E and soil moisture. The leaf area index (LAI) in the seedling dynamic data is used to adjust the nozzle flow rate to obtain the adjusted nozzle flow rate.

[0123] The spray particle size is adjusted based on the leaf area index (LAI) in the seedling dynamic data to obtain the adjusted spray particle size.

[0124] Based on the seedling height in the seedling dynamic data The travel speed of the sprinkler machine is adjusted to obtain the adjusted travel speed of the sprinkler machine;

[0125] The intelligent control parameters of the sprinkler are determined based on the adjusted nozzle flow rate, the adjusted spray particle size, and the adjusted sprinkler travel speed.

[0126] Optionally, the processing module 202 is also used for:

[0127] Obtain the real-time operating status information of the sprinkler machine;

[0128] Safety status monitoring is performed based on the real-time operating status information.

[0129] The intelligent control device for sprinkler irrigation in this embodiment of the invention acquires basic sprinkler irrigation parameters, seedling dynamic data, environmental parameters, and sprinkler irrigation equipment parameters to determine the nozzle flow rate, spray particle size, and sprinkler irrigation machine travel speed. Based on the basic sprinkler irrigation parameters, seedling dynamic data, and environmental parameters, the device adjusts the nozzle flow rate, spray particle size, and sprinkler irrigation machine travel speed to obtain intelligent control parameters for the sprinkler irrigation machine. Finally, the device controls the sprinkler irrigation machine to operate according to these intelligent control parameters. This improves the control accuracy of the sprinkler irrigation machine, reduces labor costs, and enables precise and efficient management of seedling irrigation, which is beneficial to the healthy growth of seedlings.

[0130] It should be noted that this device corresponds to the method described above, and all implementations in the method embodiments described above are applicable to the embodiments of this device and can achieve the same technical effect. Further details are omitted in this embodiment.

[0131] This invention also provides a computing device, including: a processor and a memory storing a computer program, wherein the computer program, when executed by the processor, performs the method as described in any of the above embodiments. All implementations in the above method embodiments are applicable to the embodiments of this device and can achieve the same technical effects. Further details are omitted in this embodiment.

[0132] This invention also provides a computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to perform the method as described in any of the above embodiments. All implementations in the above method embodiments are applicable to the embodiments of this device and can achieve the same technical effects. Further details are omitted in this embodiment.

[0133] It should be noted that in the apparatus and method of the present invention, the components or steps can obviously be decomposed and / or recombined. These decompositions and / or recombinations should be considered equivalent solutions of the present invention. Furthermore, the steps for performing the above series of processes can naturally be performed in the order described and in chronological order, but are not necessarily required to be performed in chronological order. Some steps can be performed in parallel, overlapping, or independently of each other.

[0134] It should be noted that in the above embodiments, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element. Furthermore, it should be noted that the scope of the methods and apparatuses in the embodiments described above is not limited to performing functions in the order shown or discussed, but may also include performing functions substantially simultaneously or in the reverse order, depending on the functions involved. For example, the described methods may be performed in a different order than described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

[0135] The above description represents the preferred embodiments of the present invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A method for intelligent control of a sprinkler irrigation machine, characterized in that, include: Obtain basic parameters for sprinkler irrigation, dynamic data on seedlings, environmental parameters, and parameters for sprinkler irrigation equipment; The nozzle flow rate is determined based on the basic parameters of the sprinkler irrigation system and the parameters of the sprinkler irrigation machine. Based on the parameters of the sprinkler irrigation machine, determine the spray particle size and the travel speed of the sprinkler irrigation machine; Based on the basic sprinkler irrigation parameters, the seedling dynamic data, and the environmental parameters, the nozzle flow rate, the spray particle size, and the sprinkler machine travel speed are adjusted to obtain the intelligent control parameters of the sprinkler machine. The sprinkler machine is controlled to operate according to the aforementioned intelligent control parameters. This includes acquiring basic sprinkler irrigation parameters, seedling dynamic data, environmental parameters, and sprinkler irrigation equipment parameters, including: Obtain basic sprinkler irrigation parameters; the basic sprinkler irrigation parameters include the start time of a single sprinkler irrigation session. Sprinkler irrigation duration Total sprinkler volume Seedbed length Seedbed width and seedling distribution density ; Acquire seedling dynamic data; the seedling dynamic data includes leaf area index (LAI) and seedling height. ; Obtain environmental parameters; these parameters include evaporation rate (E), air humidity (RH), temperature (T), and soil moisture. ; Obtain the parameters of the sprinkler irrigation machine; the parameters include the number of sprinkler heads n, the effective coverage radius of the sprinkler head r, and the sprinkler head rotation speed. Nozzle pressure P and water pump efficiency ; Specifically, based on the basic irrigation parameters, the seedling dynamic data, and the environmental parameters, the sprinkler head flow rate, the spray particle size, and the sprinkler machine travel speed are adjusted to obtain the intelligent control parameters of the sprinkler machine, including: Based on the seedbed width in the basic parameters of the sprinkler irrigation The environmental parameters include evaporation E and soil moisture. The leaf area index (LAI) in the seedling dynamic data is used to adjust the nozzle flow rate, resulting in the adjusted nozzle flow rate; wherein, according to Calculate the corrected total sprinkler irrigation volume; based on the leaf area index (LAI) and Calculate the total irrigation volume after secondary correction; adjust the number of sprinklers n or the sprinkler overlap coefficient in the sprinkler machine equipment parameters. until , will satisfy The number of nozzles n in the original text is used as the adjusted number of nozzles. Based on the adjusted number of nozzles Total sprinkler irrigation volume after secondary correction and The adjusted single-nozzle irrigation volume was calculated. ;according to Determine the adjusted nozzle flow rate; among which, This is the corrected total sprinkler volume. This represents the total sprinkler irrigation volume. , Here, E is the weighting coefficient, and E is the evaporation rate. Based on the baseline evaporation rate, For soil moisture, For optimal soil moisture, The total sprinkler irrigation volume is the result of secondary correction, and LAI is the leaf area index. This is the LAI correction factor. Based on , The adjusted nozzle flow rate This is the adjusted single-nozzle irrigation volume. This refers to the duration of sprinkler irrigation; The spray particle size is adjusted based on the leaf area index (LAI) in the seedling dynamic data to obtain the adjusted spray particle size. Based on the seedling height in the seedling dynamic data The travel speed of the sprinkler machine is adjusted to obtain the adjusted travel speed of the sprinkler machine; The intelligent control parameters of the sprinkler are determined based on the adjusted nozzle flow rate, the adjusted spray particle size, and the adjusted sprinkler travel speed.

2. The intelligent control method for sprinkler irrigation machines according to claim 1, characterized in that, Determining the sprinkler head flow rate based on the basic sprinkler irrigation parameters and the sprinkler irrigation machine equipment parameters includes: according to Determine the nozzle flow rate; in, For nozzle flow rate, This refers to the irrigation volume per sprinkler head. , Let n be the total irrigation volume and n be the number of sprinkler heads. This refers to the duration of sprinkler irrigation.

3. The intelligent control method for sprinkler irrigation machines according to claim 1, characterized in that, Based on the parameters of the sprinkler irrigation equipment, the spray particle size is determined, including: according to Determine the spray particle size; Where d represents the spray particle size. For nozzle model constants, Where is the nozzle rotation speed, and P is the nozzle pressure.

4. The intelligent control method for sprinkler irrigation machines according to claim 1, characterized in that, Based on the parameters of the sprinkler irrigation machine, the travel speed of the sprinkler irrigation machine is determined, including: according to Determine the travel speed of the sprinkler machine; in, R is the traveling speed of the irrigation machine, and r is the effective coverage radius of the nozzle. The nozzle rotation speed, This is the nozzle overlap factor, with a value ranging from 0.7 to 0.

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5. The intelligent control method for a sprinkler irrigation machine according to claim 1, characterized in that, Also includes: Obtain the real-time operating status information of the sprinkler machine; Safety status monitoring is performed based on the real-time operating status information.

6. A computing device, characterized in that, include: A processor, a memory storing a computer program, wherein the computer program, when executed by the processor, performs the method as described in any one of claims 1 to 5.

7. A computer-readable storage medium, characterized in that, The system stores instructions that, when executed on a computer, cause the computer to perform the method as described in any one of claims 1 to 5.

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