Intelligent irrigation method and equipment based on spectral adaptive regulation

Abstract

The present invention discloses an intelligent irrigation method and device based on spectral adaptive adjustment. The method includes: upon receiving a calibration operation instruction, performing spectral calibration on the calibration soil of the target irrigation area; determining the soil type based on the calibrated wet point spectral value; updating the standard gear of the soil type to the target gear based on the difference between the calibrated wet point spectral value and the standard spectral value; irrigating the target irrigation area according to the target gear, and adaptively adjusting the calibrated wet point spectral value and the target gear during irrigation. The present application is less affected by factors such as soil type, texture, and salinity, and can more accurately measure soil moisture content. Through spectral calibration, the actual soil type can be identified and the standard gear can be automatically updated. During the irrigation process, the calibrated wet point spectral value and the target gear can also be adaptively adjusted according to the current spectral value of the target irrigation area, adapting to environmental changes and dynamic changes in soil characteristics in real time, and improving the accuracy and effect of irrigation.

Description

Technical Field

[0001] The present application relates to the field of soil monitoring technology, and in particular to an intelligent irrigation method and equipment based on spectral adaptive regulation. Background Art

[0002] In fields like agricultural production and landscape maintenance, irrigation is crucial for plant growth. Traditional irrigation methods rely heavily on manual judgment of soil moisture, with farmers observing the soil's appearance or feeling it to determine whether and how much to irrigate. This approach lacks scientific precision and is prone to irrigation errors. Over-irrigation not only wastes significant water resources but can also lead to nutrient loss and oxygen deprivation in plant roots. Insufficient irrigation, on the other hand, can impair plant growth and development, reducing crop yield and quality.

[0003] With the advancement of technology, some automated irrigation systems have emerged, such as those using humidity sensors. However, existing humidity sensors have many limitations. Firstly, their measurement accuracy is easily affected by factors such as soil type, texture, and salinity, resulting in inaccurate results. Secondly, these sensors cannot adapt to environmental changes and dynamic changes in soil properties in real time. For example, soil evaporation rates and plant water requirements vary across seasons and weather conditions, making it difficult for existing irrigation systems to adjust irrigation strategies in a timely manner.

[0004] Furthermore, existing irrigation equipment also has shortcomings in terms of user interaction. Most devices are complex to operate and require professional setup and maintenance, making it difficult for ordinary users to flexibly adjust irrigation parameters based on actual needs. Furthermore, when the equipment is first used, it often lacks an effective soil calibration mechanism, making it unable to accurately adapt to the characteristics of different regions and soil types, further affecting irrigation accuracy and effectiveness. Summary of the Invention

[0005] The purpose of this application is to provide an intelligent irrigation method and device based on spectral adaptive regulation to solve the technical problems in the prior art. The various technical effects that can be produced by the preferred technical solution among the many technical solutions provided in this application are described in detail below.

[0006] To achieve the above objectives, this application provides the following technical solutions:

[0007] In a first aspect, the present application provides an intelligent irrigation method based on spectral adaptive regulation, comprising:

[0008] Upon receiving a calibration operation instruction, the calibration soil of the target irrigation area is spectrally calibrated by a spectral sensor to obtain a spectral value of a calibration wet point; wherein the spectral sensor is set at a preset depth position of the calibration soil, and the calibration soil is saturated wet soil;

[0009] identifying a soil moisture classification model according to the calibrated wet point spectral value;

[0010] Determine the soil type corresponding to the calibration soil according to the soil moisture classification model, and call the standard spectral difference and standard gear of the soil type;

[0011] updating the standard gear position to a target gear position according to the calibrated wet point spectrum value and the standard spectrum difference;

[0012] The target irrigation area is irrigated according to the target gear, and the calibrated wet point spectrum value and the target gear are adaptively adjusted according to the current spectrum value of the target irrigation area.

[0013] In some embodiments, before performing spectral calibration on the calibration soil in the target irrigation area using a spectral sensor to obtain a calibrated wet point spectral value, the method further includes:

[0014] collecting standard dry point spectral values ​​of the standard soils of multiple soil types when they are dry soil, and standard wet point spectral values ​​of the standard soils of multiple soil types when they are saturated wet soil;

[0015] Calculating the difference between the standard dry point spectrum value and the standard wet point spectrum value of each soil type to obtain the standard spectrum difference of the standard soil of each soil type;

[0016] Based on the standard spectral difference and standard wet point spectral value of each soil type, a soil moisture classification model of standard soils of different soil types under saturated volume moisture was constructed.

[0017] In some embodiments, after constructing the soil moisture classification model of standard soils of different soil types at saturated volume moisture, the method further includes:

[0018] Dividing the irrigation water volume of the standard soil of each soil type into a plurality of standard gears, wherein the standard gears include a standard irrigation start gear and a plurality of standard irrigation end gears;

[0019] Different volume humidity values ​​are configured for the standard irrigation starting gear and multiple standard irrigation end gears, each of the volume humidity values ​​has a corresponding spectral value, and the starting spectral value corresponding to the standard irrigation starting gear is greater than the gear spectral values ​​corresponding to each of the standard irrigation end gears.

[0020] In some embodiments, the standard gear is updated to the target gear according to the calibrated wet point spectrum value and the standard spectrum difference, which is expressed by the following formula:

[0021] The spectrum value of the target gear = (the spectrum value of the calibration wet point - the standard spectrum difference) / 100 × the spectrum value of the standard gear;

[0022] The target gear includes a target irrigation starting gear and / or multiple target irrigation end gears, and the spectral value of the standard gear is a starting spectral value corresponding to the standard irrigation starting gear or a gear spectral value corresponding to the standard irrigation end gear.

[0023] In some embodiments, after updating the standard gear position to the target gear position, the method further includes:

[0024] If an adjustment instruction for the target gear is received, the target gear is updated.

[0025] In some embodiments, irrigating the target irrigation area according to the target gear position includes:

[0026] detecting a current spectrum value of the target irrigation area;

[0027] Comparing the current spectrum value with a target spectrum value corresponding to the target gear position;

[0028] If the current spectrum value is greater than or equal to the spectrum value of the target irrigation starting gear, the sprinkler device is started to irrigate the target irrigation area;

[0029] If the current spectrum value is less than or equal to the spectrum value of the target irrigation endpoint, the irrigation of the target irrigation area by the sprinkler device is stopped.

[0030] In some embodiments, the adaptively adjusting the calibrated wet point spectrum value and the target gear position according to the current spectrum value of the target irrigation area includes:

[0031] If the current spectrum value is less than the calibrated wet point spectrum value, determining whether the current spectrum value is abnormal data;

[0032] If not, replacing the calibrated wet point spectrum value with the current spectrum value, so as to update the target gear position according to the difference between the current spectrum value and the standard spectrum value;

[0033] If so, an early warning signal is sent.

[0034] In some embodiments, determining whether the current spectrum value is abnormal data includes:

[0035] If the difference between the current spectral value and the previous spectral value is greater than a threshold, or if the current spectral value exceeds a model standard deviation coefficient, determining that the current spectral value is abnormal data;

[0036] The model standard deviation coefficient is obtained by performing standard deviation calculation based on a plurality of actual spectral values, and detection time nodes of the plurality of actual spectral values ​​are before the detection time node of the current spectral value.

[0037] In a second aspect, the present application further provides an intelligent irrigation device based on spectral adaptive regulation, comprising a spectral sensor, a main control module, and a spraying device; the main control module is connected to the spectral sensor and the spraying device, respectively, wherein:

[0038] The spectral sensor is used to perform spectral calibration on the calibration soil in the target irrigation area to obtain a spectral value of a calibration wet point, and to obtain a current spectral value;

[0039] The main control module is used to identify a soil moisture classification model based on the calibrated wet point spectral value; determine the soil type corresponding to the calibrated soil based on the soil moisture classification model, and call the standard spectral difference and standard gear of the soil type; update the standard gear to a target gear based on the calibrated wet point spectral value and the standard spectral difference; irrigate the target irrigation area according to the target gear, and adaptively adjust the calibrated wet point spectral value and the target gear based on the current spectral value of the target irrigation area.

[0040] Implementing one of the above-mentioned technical solutions of the present application has the following advantages or beneficial effects: The intelligent irrigation method and equipment based on spectral adaptive adjustment of the present application enables the spectral sensor to monitor the soil moisture content in the target irrigation soil in real time, with minimal interference from factors such as soil type, texture, and salinity, and can more accurately measure the soil moisture content. Furthermore, by spectrally calibrating the target irrigation area, the actual soil type is identified and the standard gear is automatically updated. Furthermore, during the irrigation process, the calibrated wet point spectral value and the target gear can be adaptively adjusted based on the current spectral value of the target irrigation area, adapting in real time to environmental changes and dynamic changes in soil properties, thereby improving irrigation accuracy and effectiveness. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present application. Those skilled in the art can also derive other drawings based on these drawings without inventive work. In the drawings:

[0042] Figure 1is a schematic diagram of an intelligent irrigation device based on spectral adaptive regulation according to an embodiment of the present application;

[0043] Figure 2 It is a flow chart of the intelligent irrigation method based on spectral adaptive regulation according to an embodiment of the present application. DETAILED DESCRIPTION

[0044] In order to make the purpose, technical solutions and advantages of the present application clearer, the various exemplary embodiments to be described below will refer to the corresponding drawings, which constitute a part of the exemplary embodiments, in which various exemplary embodiments that may be used to implement the present application are described. Unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The implementation methods described in the following exemplary embodiments do not represent all implementation methods consistent with the present disclosure. It should be understood that they are only examples of processes, methods and devices that are consistent with some aspects disclosed in the present application as detailed in the appended claims, and other embodiments may also be used, or structural and functional modifications may be made to the embodiments listed herein without departing from the scope and essence of the present application.

[0045] In the description of this application, it should be understood that the terms "center", "longitudinal", "transverse" and the like indicate the orientation or positional relationship based on the figures, and are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the elements referred to must have a specific orientation, be constructed and operated in a specific orientation. The terms "first", "second" and the like are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. The term "multiple" means two or more. The terms "connected" and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, an integral connection, a mechanical connection, an electrical connection, a communication connection, a direct connection, an indirect connection through an intermediate medium, and can be the internal connection of two elements or the interaction relationship between two elements. The term "and / or" includes any and all combinations of one or more related listed items. For those of ordinary skill in the art, the specific meanings of the above terms in this application can be understood according to the specific circumstances.

[0046] In order to illustrate the technical solution described in this application, a specific embodiment is provided below, and only the parts related to the embodiment of this application are shown.

[0047] This application provides an intelligent irrigation method based on spectral adaptive regulation, which is applied to intelligent irrigation equipment based on spectral adaptive regulation. Figure 1As shown, the intelligent irrigation equipment 1 based on spectral adaptive regulation includes a spectral sensor 11, a main control module 12, a spray device 13 and a communication module 14; the main control module 12 is connected to the spectral sensor 11 and the spray device 13 respectively; and the main control module 12 can also be connected to the intelligent terminal 2 through the communication module 14.

[0048] The spectrum sensor 11 includes a broad spectrum dot matrix light emitting module from ultraviolet light to near infrared light and an optical signal receiving module for different reflected light wavelengths. Both the broad spectrum dot matrix light emitting module and the optical signal receiving module are connected to the main control module 12 .

[0049] The broad-spectrum dot-matrix optical transmitter module is used to transmit one or more optical signals ranging from ultraviolet light to near-infrared light according to the control signal of the main control module 12. For example, when constructing a soil moisture classification model for standard soils of different soil types at saturated volumetric moisture, optical signals at 400nm, 520nm, 605nm, and 850nm can be continuously emitted into the soil.

[0050] The optical signal receiving module is used to receive reflected light signals. During calibration, it receives light signals at different emission wavelengths reflected from the soil. Since only the 850nm emission wavelength is significantly affected by soil moisture, while the other emission wavelengths are less affected, emitting multiple light signals at different wavelengths and receiving the corresponding reflected light signals can determine whether there are factors interfering with the spectral sensor's soil moisture detection, providing a stable foundation for the accuracy of subsequent adaptive adjustments.

[0051] The main control module 12 is used to obtain spectral values ​​based on the transmitted and received optical signals, and then calculate the soil moisture content, i.e., the soil volumetric moisture content, based on the spectral values. It should be noted that the calculation of soil moisture content based on spectral values ​​can refer to the technology in the art and will not be repeated here.

[0052] Generally speaking, the higher the soil moisture content, the lower the spectral value detected by the main control module 12, and vice versa. Therefore, the obtained spectral value has a corresponding relationship with the soil moisture content, and the soil moisture content can be calculated based on the spectral value.

[0053] In some embodiments, the communication module 14 may be a Bluetooth module, and the smart irrigation device 1 based on spectral adaptive regulation may be wirelessly connected to the smart terminal 2 via the Bluetooth module. The smart terminal 2 may be a smartphone, tablet, or the like, which may be installed with an app. The user may send calibration instructions, parameter settings, etc. through the smart terminal 2, thereby controlling the smart irrigation device 1 based on spectral adaptive regulation, interacting with the smart terminal 2 to meet the personalized needs of different users, reduce the difficulty of operating the smart irrigation device 1 based on spectral adaptive regulation, and improve the user experience.

[0054] In some embodiments, the spectral sensor 11 is used to perform spectral calibration on the calibration soil in the target irrigation area to obtain a spectral value of a calibration wet point, and to obtain a current spectral value;

[0055] The main control module 12 is used to identify a soil moisture classification model based on the calibrated wet point spectral value; determine the soil type corresponding to the calibrated soil based on the soil moisture classification model, and call the standard spectral difference and standard gear of the soil type; update the standard gear to a target gear based on the calibrated wet point spectral value and the standard spectral difference; irrigate the target irrigation area according to the target gear, and adaptively adjust the calibrated wet point spectral value and the target gear based on the current spectral value of the target irrigation area.

[0056] When the intelligent irrigation device 1 based on spectral adaptive adjustment of the present application detects the moisture content of the soil, the user buries the spectral sensor 11 at a preset depth in the soil, such as 8 cm, and then directly triggers the generation of a calibration operation instruction through the intelligent terminal 2 or on the intelligent irrigation device 1 based on spectral adaptive adjustment. After receiving the calibration instruction, the intelligent irrigation device 1 based on spectral adaptive adjustment controls the spectral sensor 11 to perform spectral calibration on the calibration soil of the target irrigation area. When the calibration is completed, the target gear is displayed to the intelligent terminal 2 or on the intelligent irrigation device 1 based on spectral adaptive adjustment. The user can determine the target gear so that the intelligent irrigation device 1 based on spectral adaptive adjustment can irrigate the target irrigation area according to the target gear. Alternatively, the user can adjust the target gear according to their own needs so that the intelligent irrigation device 1 based on spectral adaptive adjustment can irrigate according to the adjusted gear.

[0057] The intelligent irrigation device 1 based on spectral adaptive adjustment of the present application is capable of monitoring the soil moisture content in real time in the target irrigation soil. The spectral sensor 11 is less affected by factors such as soil type, texture, and salinity, and can more accurately measure the soil moisture content. Simultaneously, by spectrally calibrating the target irrigation area, the actual soil type is identified and the standard gear is automatically updated. Furthermore, during the irrigation process, the calibrated wet point spectral value and the target gear are adaptively adjusted based on the current spectral value of the target irrigation area, adapting in real time to environmental changes and dynamic changes in soil properties, thereby improving irrigation accuracy and effectiveness.

[0058] Based on the above-mentioned intelligent irrigation device 1 based on spectral adaptive regulation, an intelligent irrigation method based on spectral adaptive regulation is provided, which is executed by the main control module 12 of the intelligent irrigation system, such as Figure 2 As shown, the process includes the following steps S101 to S105.

[0059] S101. Upon receiving a calibration operation instruction, spectrally calibrate the calibration soil in the target irrigation area through a spectral sensor to obtain a spectral value of a calibration wet point; wherein the spectral sensor is set at a preset depth position of the calibration soil, and the calibration soil is saturated wet soil.

[0060] Before the intelligent irrigation equipment based on spectral adaptive regulation leaves the factory, the main control module of the intelligent irrigation equipment based on spectral adaptive regulation is pre-set with soil moisture classification models corresponding to different soil types and irrigation standard gears corresponding to each soil type.

[0061] Therefore, in some embodiments, before step S101, the method may further include:

[0062] collecting standard dry point spectral values ​​of the standard soils of multiple soil types when they are dry soil, and standard wet point spectral values ​​of the standard soils of multiple soil types when they are saturated wet soil;

[0063] Calculating the difference between the standard dry point spectrum value and the standard wet point spectrum value of each soil type to obtain the standard spectrum difference of the standard soil of each soil type;

[0064] Based on the standard spectral difference and standard wet point spectral value of each soil type, a soil moisture classification model of standard soils of different soil types under saturated volume moisture was constructed.

[0065] Specifically, soil types include topsoil, organic matter, clay deposits, and leached layers. These soil types generally cover all types of soil that require irrigation. For example, lawns, vegetable gardens, and flower beds require regular irrigation to maintain healthy vegetation and crops.

[0066] Among them, the topsoil category is characterized by a humus accumulation layer with a darker color, usually dark brown to black, rich in organic matter 2% to 5%, a relatively loose texture, and many pores. Based on the characteristics of the topsoil layer, nutrient soil and black soil can be mixed in a ratio of 3:1 as standard soil to replace the topsoil category soil.

[0067] The characteristic of the organic matter layer category of soil is that it only exists under forest vegetation. It is a layer of undecomposed or semi-decomposed dead branches and leaves with a thin thickness, usually less than 5 cm. Based on the characteristics of the organic matter layer, pure coconut coir can be used as standard soil to replace the soil in the organic matter layer category.

[0068] The characteristic of the clay deposition layer type of soil is that clay is deposited in the diagnostic layer to form a heavy and compact layer. Clay film (glossy) or clay lenses are common. The color is dark, usually reddish brown or yellowish brown, and the pH is neutral to slightly alkaline. Based on the characteristics of the clay deposition layer, nutrient soil and red soil can be mixed in a ratio of 3:1 as standard soil to replace the soil of the surface clay deposition layer type.

[0069] Different soil types have corresponding standard soils. Of course, the soil types in this embodiment are not limited to the topsoil layer category, organic matter layer category, clay deposition layer category, eluvial layer category, etc. described above, and may also include other categories, which are not limited here. At the same time, the standard soils corresponding to different soil types are all standard soils without foreign matter.

[0070] After collecting standard soils of multiple soil types, the standard soils are dried until the moisture content of the standard soil is 0, which is a dry soil state. At this time, the standard dry point spectral value of the standard soil when it is dry soil is detected by a spectral sensor.

[0071] In some embodiments, when the standard soil is dried to a dry state, the standard soil can be placed in an oven and baked at 105°C for 12 hours, taken out and placed in a desiccator, weighed after cooling for 45 minutes, and then tested twice after an interval of 10 minutes. When the weight of the standard soil no longer changes, it is dry soil. Otherwise, the drying process is continued until the standard soil becomes a dry soil state. At the same time, the standard dry point spectrum value of the standard soil in the dry soil state is obtained.

[0072] After obtaining the standard soil in the dry soil state, in order to obtain the standard wet point spectrum value when the standard soil is saturated wet soil, water can be added to 100 ml of dry soil until the spectrum value remains unchanged to obtain the standard wet point spectrum value. At the same time, the saturated volume humidity when the standard soil is saturated wet soil is determined.

[0073] For the standard soil of the same soil type, after obtaining the standard dry point spectrum value and the standard wet point spectrum value, calculate the difference between the standard dry point spectrum value and the standard wet point spectrum value to obtain the standard spectrum difference value of the standard soil. The calculation formula is: standard dry point spectrum value - standard wet point spectrum value = standard spectrum difference value.

[0074] Following the above process, the standard dry-point spectral value, standard wet-point spectral value, and standard spectral difference are calculated for each soil type. Based on these standard spectral differences and standard wet-point spectral values, soil moisture classification models for each soil type at saturated volumetric humidity are constructed. These soil moisture classification models for each soil type are stored in the main control module for easy access in practical applications.

[0075] For example, the standard spectral difference value for topsoil is 25266, and its saturated volumetric moisture is 50%. This means that 100 ml of dry soil requires 50 ml of water to reach saturated volumetric moisture. The soil moisture classification model for this topsoil class includes the standard wet point spectral value and the standard spectral difference value (25266).

[0076] When determining the soil moisture classification model for each soil type, standard gear division may also be performed. In some embodiments, the method may further include:

[0077] The irrigation water volume of the standard soil of each soil type is divided into multiple standard gears, and the standard gears include a standard irrigation start gear and multiple standard irrigation end gears;

[0078] Different volume humidity values ​​are configured for the standard irrigation starting gear and multiple standard irrigation end gears, each of the volume humidity values ​​has a corresponding spectral value, and the starting spectral value corresponding to the standard irrigation starting gear is greater than the gear spectral values ​​corresponding to each of the standard irrigation end gears.

[0079] Specifically, a soil type can be irrigated using multiple standard gears, which include a standard irrigation start gear and multiple standard irrigation end gears, for example, a standard irrigation start gear, an irrigation end gear 1, an irrigation end gear 2, and an irrigation end gear 3.

[0080] In view of the fact that the higher the soil moisture content, the lower the spectral value, and vice versa, the lower the soil moisture content, the higher the spectral value, the standard irrigation starting gear is the dividing point for whether the soil type needs irrigation. The standard irrigation end gear is used to control the irrigation to stop when the volume humidity of the soil type reaches the gear corresponding to the gear.

[0081] For example, the volumetric humidity value corresponding to the standard irrigation starting gear is 40%, the volumetric humidity value corresponding to the first irrigation end gear is 80%, the volumetric humidity value corresponding to the second irrigation end gear is 85%, and the volumetric humidity value corresponding to the third irrigation end gear is 90%. Since the volumetric humidity values ​​have corresponding spectral values, then, without adjusting the standard gear, during actual application of the system, if the volumetric humidity value corresponding to the standard irrigation starting gear is 40% and the volumetric humidity value corresponding to the first irrigation end gear is 80%, then when the volumetric humidity value corresponding to the detected soil spectral value is less than or equal to the volumetric humidity value of 40% corresponding to the standard irrigation starting gear, the sprinkler device is controlled to spray to achieve irrigation. Moreover, during the spraying process, the soil spectral value is continuously detected, and the spraying irrigation is stopped when the volumetric humidity value corresponding to the detected soil spectral value reaches 80% of the volumetric humidity value corresponding to the first irrigation end gear. If the volumetric humidity value corresponding to the detected soil spectral value is greater than the volumetric humidity value of 40% corresponding to the standard irrigation starting gear, the sprinkler device does not need to be controlled to spray irrigation.

[0082] By dividing the irrigation water volume of the standard soil for each soil type into gears, users can be provided with spraying suggestions for multiple soil types. Users can choose the appropriate gear according to the type of soil they want to irrigate, and the standard gear can also be adaptively adjusted according to the soil in actual application.

[0083] This intelligent irrigation equipment based on spectral adaptive regulation carries soil moisture classification models and standard gears corresponding to multiple soil types when it leaves the factory, so that users can call them when using them, adapt to the soil that needs irrigation, realize the refinement of soil irrigation, and adapt to different environmental changes and different types of soil.

[0084] Before using the smart irrigation device based on spectral adaptive adjustment, the user first determines the target irrigation area to be irrigated and then performs spectral calibration on the target irrigation area. Specifically, a pit of a preset depth is dug at any location in the target irrigation area, and the spectral sensor is placed in the pit, filled with water, and then backfilled. The soil filled with water at the preset depth is the calibration soil, and the calibration soil is saturated wet soil because it is filled with water. Then, the user triggers the calibration button of the smart irrigation device based on spectral adaptive adjustment to generate a calibration operation instruction, so that the spectral sensor detects the spectral value of the saturated volume humidity in the soil at the preset depth as the calibration wet point spectral value.

[0085] It is understandable that users can also operate on smart terminals. The smart terminal sends the calibration instructions to the main control module through the Bluetooth module. The main control module controls the spectral sensor to emit specific spectra, including 400nm, 520nm, 605nm, and 850nm, according to the calibration operation instructions, and receives the spectral signal reflected back by the calibration soil, thereby obtaining the calibrated wet point spectrum value.

[0086] By performing spectral calibration on the target irrigation area and obtaining the spectral value of the calibrated wet point, the soil type in that target irrigation area can be identified, facilitating precise irrigation. Furthermore, compared to traditional humidity sensors used to monitor soil moisture, which are subject to interference factors such as resistance / capacitance changes, temperature, electrode aging, surface contamination, and significant accuracy degradation at extreme humidity levels (near 0% or 100 RH), spectral calibration, pre-configured soil moisture classification models and standard gears, and adaptive adjustments based on actual site conditions, enables more accurate soil moisture measurement, providing reliable data support for precise irrigation.

[0087] S102: Identify a soil moisture classification model based on the calibrated wet point spectral value.

[0088] S103: Determine the soil type corresponding to the calibration soil according to the soil moisture classification model, and call the standard spectral difference and standard gear of the soil type.

[0089] After obtaining the calibrated wet point spectrum value, the main control module has pre-stored soil moisture classification models corresponding to multiple soil types. The soil moisture classification model includes a standard wet point spectrum value and a standard spectrum difference. The calibrated wet point spectrum value can be compared with the standard wet point spectrum value of multiple soil moisture classification models. If the calibrated wet point spectrum value is consistent with the standard wet point spectrum value of the soil moisture classification model, the soil moisture classification model is determined. At the same time, the soil type of the calibrated soil in the target irrigation area can be determined.

[0090] The standard spectral difference in the soil moisture classification model corresponding to the calibration soil is called out to facilitate the subsequent update of the standard gear, which can adapt to the real soil in the target irrigation area to achieve precise irrigation of the target irrigation area.

[0091] S104: updating the standard gear position to a target gear position according to the calibrated wet point spectrum value and the standard spectrum difference value.

[0092] In some implementations, step S104 may be expressed by the following formula:

[0093] The spectrum value of the target gear = (the spectrum value of the calibration wet point - the standard spectrum difference) / 100 × the spectrum value of the standard gear;

[0094] The target gear includes a target irrigation starting gear and / or multiple target irrigation end gears, and the spectral value of the standard gear is a starting spectral value corresponding to the standard irrigation starting gear or a gear spectral value corresponding to the standard irrigation end gear.

[0095] Specifically, since the standard gear is the gear set at the factory, the corresponding standard soil may be somewhat different from the actual soil in the target irrigation area. In order to achieve precise irrigation, the standard gear needs to be personalized and updated.

[0096] After determining the spectral value of the target gear, a corresponding relationship is established between the spectral value and the volume humidity, and it is determined that different target gears correspond to different volume humidity.

[0097] In some embodiments, after the device automatically updates to the target gear, the user can also adjust the target gear. After the standard gear is updated to the target gear, the method further includes:

[0098] If an adjustment instruction for the target gear is received, the target gear is updated.

[0099] Specifically, after the main control module updates the standard gear to the target gear, the target gear can be output on the user's smart terminal for display. At the same time, the smart terminal will also display relevant information of the target gear, including the target irrigation starting gear corresponding to the target gear, multiple target irrigation end gears, and the volume humidity corresponding to each target gear. After seeing the relevant information of each target gear, the user can select and adjust each target gear on the smart terminal according to his or her needs. For example, if the user thinks that the water content required by the vegetation in the target irrigation area does not match the target gear recommendation, the user can select and adjust each target gear on the smart terminal. For example, among the target gears, the target irrigation starting gear is 40%, the target irrigation end gear one is 80%, the target irrigation end gear two is 85%, and the target irrigation end gear three is 90%. The user thinks that the target irrigation starting gear is too high, so he or she adjusts the target irrigation starting gear to 30%. He or she also thinks that the target irrigation end gear one is 80%, which is too high, so he or she adjusts the target irrigation end gear one to 70%.

[0100] Users can adjust the target gear to meet their personalized needs, reduce the difficulty of equipment operation, and improve user experience.

[0101] S105 , irrigating the target irrigation area according to the target gear, and adaptively adjusting the calibrated wet point spectrum value and the target gear according to the current spectrum value of the target irrigation area.

[0102] In some embodiments, irrigating the target irrigation area according to the target gear may include:

[0103] detecting a current spectrum value of the target irrigation area;

[0104] Comparing the current spectrum value with a target spectrum value corresponding to the target gear position;

[0105] If the current spectrum value is greater than the spectrum value of the target irrigation starting gear, the sprinkler device is started to irrigate the target irrigation area;

[0106] If the current spectrum value is less than or equal to the spectrum value of the target irrigation endpoint, the irrigation of the target irrigation area by the sprinkler device is stopped.

[0107] Specifically, after calibration, the intelligent irrigation device based on spectral adaptive regulation begins irrigating the target irrigation area. The main control module controls the spectral sensor to perform spectral detection on the soil at a preset frequency, obtaining the current spectral value. The current volumetric moisture content can also be determined based on the current spectral value. Since the target level has been determined (for example, if the user selects a starting level of 40% and an end level of 80%), the main control module compares the current spectral value with the target spectral value corresponding to the starting level. If the current spectral value is greater than the spectral value of the starting level, it indicates that the soil moisture content is too low and irrigation is required. The main control module then activates the sprinkler system to irrigate the target irrigation area. If the current spectral value is less than the spectral value of the starting level, it indicates that the soil moisture content is sufficient and irrigation is not required. During irrigation, if the current spectral value is less than or equal to the spectral value of the end level, it indicates that the desired irrigation level has been reached, and the main control module then stops irrigating the target irrigation area.

[0108] It should be noted that the preset frequency may be 10 minutes, that is, the soil spectrum is detected once every 10 minutes. In addition, the user can view the current volume humidity corresponding to the current spectrum value on the smart terminal.

[0109] Of course, users can manually control the sprinkler to stop irrigation according to their own needs during the irrigation process if the volume humidity corresponding to the target irrigation end point is not reached.

[0110] In some embodiments, adaptively adjusting the calibrated wet point spectral value and the target gear position according to the current spectral value of the target irrigation area may include:

[0111] If the current spectrum value is less than the calibrated wet point spectrum value, determining whether the current spectrum value is abnormal data;

[0112] If not, replacing the calibrated wet point spectrum value with the current spectrum value, so as to update the target gear position according to the difference between the current spectrum value and the standard spectrum value;

[0113] If so, an early warning signal is sent.

[0114] Specifically, during the spectral calibration process, the calibrated wet point spectral value may not be fully penetrated by water and the data is not stable when the calibrated wet point spectral value is obtained. In this case, the calibrated wet point spectral value may not be accurate. Therefore, during the use process after calibration, if the current spectral value is monitored to be less than the calibrated wet point spectral value, it indicates that the calibrated wet point spectral value may not be accurate. At the same time, considering some unexpected situations, such as when the spectral sensor is unplugged, the spectral value will show obvious abnormal changes. When excessive water continuously washes the soil where the spectral sensor is located during rainy days, causing the spectral sensor to be partially exposed or the object being detected is no longer soil, the spectral value will deviate from the normal range. In this case, it is abnormal data. If the spectral value at this time is abnormal data, an early warning signal is sent to the smart terminal to allow the user to discover the problem in time. If it is not abnormal data, it indicates that the calibrated wet point spectral value is not accurate. To make the target gear more accurate, the main control module replaces the calibrated wet point spectral value with the current spectral value and updates the target gear according to the difference between the current spectral value and the standard spectral value, thereby realizing adaptive adjustment of the smart irrigation equipment based on spectral adaptive adjustment.

[0115] In some embodiments, determining whether the current spectrum value is abnormal data includes:

[0116] If the difference between the current spectral value and the previous spectral value is greater than a threshold, or if the current spectral value exceeds a model standard deviation coefficient, determining that the current spectral value is abnormal data;

[0117] The model standard deviation coefficient is obtained by performing standard deviation calculation based on a plurality of actual spectral values, and detection time nodes of the plurality of actual spectral values ​​are before the detection time node of the current spectral value.

[0118] Specifically, the spectral sensor emits light signals of multiple wavelengths at a preset frequency, including 400nm, 520nm, 605nm, and 850nm, and collects the corresponding spectral values, forming a series of spectral values. Typically, the spectral values ​​detected by the spectral sensor in the soil change gradually over time, with a certain difference between two adjacent spectral values. However, these changes generally do not occur instantaneously. Therefore, to determine whether the current spectral value is abnormal, the difference between the current spectral value and the previous spectral value is determined to be greater than a threshold. If so, this indicates an abnormal mutation in the spectral value, and adaptive updating of the calibration wet point spectral value and target gear is not required. The threshold here can be set to 1000. If the difference between two adjacent spectral values ​​is greater than 1000, it indicates an abnormal mutation.

[0119] Of course, if the difference is less than the threshold, for example, the threshold is 100, if the difference is less than 100, it means that the data tends to be stable, then it is possible to take the latest current spectrum value to replace the calibration wet point spectrum value to update the target gear.

[0120] Another way to determine whether the current spectrum value is abnormal data is to have a series of actual spectrum values ​​before obtaining the current spectrum value, calculate the standard deviation based on the multiple actual spectrum values, and obtain the model standard deviation coefficient. The model standard deviation coefficient can be calculated in the following way:

[0121] First, the average value of a series of actual spectral values ​​before the current spectral value is calculated. Then, the variance is calculated based on the average value and the actual spectral value. The variance is then squared to calculate the model standard deviation coefficient.

[0122] After obtaining the model standard deviation coefficient, the current spectral value is compared with the model standard deviation coefficient. If the current spectral value exceeds the model standard deviation coefficient, it means that the current spectral value is abnormal data and does not need to be updated.

[0123] Through anomaly detection, the working status of the spectral sensor can be monitored in real time, abnormal situations can be discovered in time and early warning signals can be issued, and the irrigation strategy can be suspended to avoid problems such as water waste and plant damage caused by abnormal situations, thereby ensuring the stable operation of intelligent irrigation equipment based on spectral adaptive adjustment.

[0124] In the embodiments of the present application, the spectral sensor can monitor soil moisture content in real time within the target irrigation soil, with minimal interference from factors such as soil type, texture, and salinity, enabling more accurate soil moisture measurement. Furthermore, by spectrally calibrating the target irrigation area, the actual soil type is identified and the standard gear position is automatically updated. Furthermore, during the irrigation process, the calibrated wet point spectral value and the target gear position can be adaptively adjusted based on the current spectral value of the target irrigation area, adapting in real time to environmental changes and dynamic changes in soil properties, thereby improving irrigation accuracy and effectiveness.

[0125] Those skilled in the art will appreciate that all or part of the features / steps of the aforementioned method embodiments can be implemented via methods, data processing systems, or computer programs. These features can be implemented entirely through software, or through a combination of hardware and software, without hardware. The aforementioned computer programs can be stored in one or more computer-readable storage media. When executed by a system (e.g., a processor), the computer programs perform the steps of the aforementioned intelligent irrigation method embodiments based on spectral adaptive regulation.

[0126] The aforementioned storage media that can store program codes include: static hard disks, solid-state hard disks, random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), optical storage devices, magnetic storage devices, flash memory, magnetic disks or optical disks and / or combinations of the above devices, that is, they can be implemented by any type of volatile or non-volatile storage device or a combination thereof.

[0127] The present application also provides an embodiment of an intelligent irrigation device based on spectral adaptive regulation. The main control module of the intelligent irrigation device based on spectral adaptive regulation includes one or more processors and a memory; wherein the memory is used to store one or more computer programs, and the one or more processors are used to execute the one or more computer programs stored in the memory, so that the processor performs the features / steps of the above-mentioned embodiment of the intelligent irrigation method based on spectral adaptive regulation.

[0128] The present application also provides a computer program product stored on a data carrier and designed to implement the intelligent irrigation method based on spectral adaptive regulation as described above. The computer program product according to the present application thus produces the same advantages as those described in detail with reference to the device according to the present application. The computer program product can be executed as computer-readable instruction code in any suitable programming language, such as Java, C++, etc. Furthermore, the computer program product can be provided on a network, such as the Internet, or can be downloaded from a network, such as the Internet, by a user of the network, such as the Internet, upon request. The computer program product can be implemented using a computer program, i.e., software, or using one or more dedicated electronic circuits, i.e., hardware, or any combination thereof, i.e., using both software and hardware components, or a combination of software, hardware, or software and hardware.

[0129] The foregoing is merely a preferred embodiment of the present application. Those skilled in the art will appreciate that various changes or equivalent substitutions may be made to these features and embodiments without departing from the spirit and scope of the present application. Furthermore, under the guidance of this application, these features and embodiments may be modified to adapt to specific circumstances and materials without departing from the spirit and scope of the present application. Therefore, the present application is not limited to the specific embodiments disclosed herein, and all embodiments falling within the scope of the claims of this application are intended to be included within the scope of protection of this application.

Claims

1. An intelligent irrigation method based on spectral adaptive regulation, characterized in that: include: Upon receiving a calibration operation instruction, the calibration soil of the target irrigation area is spectrally calibrated by a spectral sensor to obtain a spectral value of a calibration wet point; wherein the spectral sensor is set at a preset depth position of the calibration soil, and the calibration soil is saturated wet soil; identifying a soil moisture classification model according to the calibrated wet point spectral value; Determine the soil type corresponding to the calibration soil according to the soil moisture classification model, and call the standard spectral difference and standard gear of the soil type; updating the standard gear position to a target gear position according to the calibrated wet point spectrum value and the standard spectrum difference; irrigating the target irrigation area according to the target gear, and adaptively adjusting the calibrated wet point spectrum value and the target gear according to the current spectrum value of the target irrigation area; Before performing spectral calibration on the calibration soil in the target irrigation area by using the spectral sensor to obtain the spectral value of the calibration wet point, the method further includes: collecting standard dry point spectral values ​​of the standard soils of multiple soil types when they are dry soil, and standard wet point spectral values ​​of the standard soils of multiple soil types when they are saturated wet soil; Calculating the difference between the standard dry point spectrum value and the standard wet point spectrum value of each soil type to obtain the standard spectrum difference of the standard soil of each soil type; Based on the standard spectral difference and standard wet point spectral value of each soil type, a soil moisture classification model of standard soils of different soil types at saturated volume moisture was constructed; After constructing the soil moisture classification model of standard soils of different soil types at saturated volume moisture, the method further includes: Dividing the irrigation water volume of the standard soil of each soil type into a plurality of standard gears, wherein the standard gears include a standard irrigation start gear and a plurality of standard irrigation end gears; Different volume humidity values ​​are configured for the standard irrigation starting gear and multiple standard irrigation end gears, each of the volume humidity values ​​has a corresponding spectral value, and the starting spectral value corresponding to the standard irrigation starting gear is greater than the gear spectral values ​​corresponding to each of the standard irrigation end gears.

2. The intelligent irrigation method based on spectral adaptive regulation according to claim 1 is characterized in that: The standard gear is updated to the target gear according to the calibrated wet point spectrum value and the standard spectrum difference, which is expressed by the following formula: The spectrum value of the target gear = (the spectrum value of the calibration wet point - the standard spectrum difference) / 100 × the spectrum value of the standard gear; The target gear includes a target irrigation starting gear and / or multiple target irrigation end gears, and the spectral value of the standard gear is a starting spectral value corresponding to the standard irrigation starting gear or a gear spectral value corresponding to the standard irrigation end gear.

3. The intelligent irrigation method based on spectral adaptive regulation according to claim 1, characterized in that: After updating the standard gear position to the target gear position, the method further includes: If an adjustment instruction for the target gear is received, the target gear is updated.

4. The intelligent irrigation method based on spectral adaptive regulation according to claim 2, characterized in that: The step of irrigating the target irrigation area according to the target gear position includes: detecting a current spectrum value of the target irrigation area; Comparing the current spectrum value with a target spectrum value corresponding to the target gear position; If the current spectrum value is greater than the spectrum value of the target irrigation starting gear, the sprinkler device is started to irrigate the target irrigation area; If the current spectrum value is less than or equal to the spectrum value of the target irrigation endpoint, the irrigation of the target irrigation area by the sprinkler device is stopped.

5. The intelligent irrigation method based on spectral adaptive regulation according to claim 4 is characterized in that: The adaptively adjusting the calibrated wet point spectrum value and the target gear position according to the current spectrum value of the target irrigation area includes: If the current spectrum value is less than the calibrated wet point spectrum value, determining whether the current spectrum value is abnormal data; If not, replacing the calibrated wet point spectrum value with the current spectrum value, so as to update the target gear position according to the difference between the current spectrum value and the standard spectrum value; If so, an early warning signal is sent.

6. The intelligent irrigation method based on spectral adaptive regulation according to claim 5, characterized in that: The determining whether the current spectrum value is abnormal data includes: If the difference between the current spectral value and the previous spectral value is greater than a threshold, or if the current spectral value exceeds a model standard deviation coefficient, determining that the current spectral value is abnormal data; The model standard deviation coefficient is obtained by performing standard deviation calculation based on a plurality of actual spectral values, and detection time nodes of the plurality of actual spectral values ​​are before the detection time node of the current spectral value.

7. An intelligent irrigation device based on spectral adaptive regulation, characterized in that: The intelligent irrigation device utilizes the intelligent irrigation method based on spectral adaptive regulation according to any one of claims 1 to 6, and includes a spectral sensor, a main control module, and a spray device; the main control module is connected to the spectral sensor and the spray device, respectively, wherein: The spectral sensor is used to perform spectral calibration on the calibration soil in the target irrigation area to obtain a spectral value of a calibration wet point, and to obtain a current spectral value; The main control module is used to identify a soil moisture classification model based on the calibrated wet point spectral value; determine the soil type corresponding to the calibrated soil based on the soil moisture classification model, and call the standard spectral difference and standard gear of the soil type; update the standard gear to a target gear based on the calibrated wet point spectral value and the standard spectral difference; irrigate the target irrigation area according to the target gear, and adaptively adjust the calibrated wet point spectral value and the target gear based on the current spectral value of the target irrigation area.

8. The intelligent irrigation device based on spectrum adaptive regulation according to claim 7, characterized in that: It also includes a communication module, and the main control module is connected to the intelligent terminal through the communication module.

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