A calculation method for effective soil water storage capacity

Abstract

The present application relates to the technical field of farmland irrigation, and in particular to a method for calculating effective soil water storage, comprising: obtaining the grid area of ​​a target grid field and soil moisture content change curves corresponding to multiple soil depth layers; obtaining multiple root reach layers based on the multiple soil moisture content change curves; obtaining the soil moisture content corresponding to each root reach layer at the current moment in real time based on the soil moisture content change curve corresponding to each root reach layer; and obtaining the current underground effective water storage capacity of the target grid field based on the unit depth interval, the grid area of ​​the target grid field, and the soil moisture content corresponding to all root reach layers. The present application has the effect of saving water resources.

Description

Technical Field

[0001] The present application relates to the technical field of farmland irrigation, and in particular to a method for calculating effective soil water storage capacity. Background Art

[0002] Currently, rice fields are mostly irrigated by flooding, with the amount of water used determined based on the irrigation technicians' previous experience. However, since manual irrigation cannot determine the water storage capacity of the rice paddies' soil, it is impossible to determine the amount of water to be used. This can lead to excessive irrigation, resulting in a waste of water resources.

[0003] Therefore, how to determine the effective water storage capacity of the field becomes a key issue. Summary of the Invention

[0004] In order to accurately determine the effective water storage capacity, the present application provides a method for calculating the effective water storage capacity of soil.

[0005] In the first aspect, the present application provides a method for calculating the effective water storage capacity of soil, using the following technical solution:

[0006] A method for calculating effective soil water storage capacity, comprising:

[0007] Get the grid field area of ​​the target grid field;

[0008] Acquire in real time the soil moisture content change curves corresponding to the multiple soil depth layers of the target grid field, wherein each soil moisture content change curve represents a change curve of the soil moisture content of each soil depth layer over time, and the distance between two adjacent soil depth layers is a unit depth interval;

[0009] According to multiple soil moisture content change curves, several root reach layers are obtained, wherein the root reach layer represents the soil depth layer that the crop roots in the grid field can reach;

[0010] According to the soil moisture change curve corresponding to each root reaching layer, the soil moisture content corresponding to each root reaching layer at the current moment is obtained in real time;

[0011] The current underground effective water storage capacity of the target grid field is obtained according to the unit depth interval, the grid field area of ​​the target grid field and the soil moisture content corresponding to each of the layers reached by all the roots.

[0012] By adopting the above technical solution, after obtaining the soil moisture change curves corresponding to multiple soil depth layers in real time, the multiple soil moisture change curves can be analyzed to determine the soil depth layers reached by the crop roots, and use them as several root arrival layers; then, the soil moisture change curve corresponding to each root arrival layer is analyzed for moisture content, and the soil moisture content corresponding to each root arrival layer at the current moment is obtained in real time; and the water storage capacity is calculated based on the unit depth interval, grid field area and the soil moisture content corresponding to all root arrival layers, to obtain the current underground effective water storage capacity of the target grid field. The water volume determination method is more efficient and accurate than manual judgment.

[0013] In a preferred example, the present application can be further configured as follows:

[0014] After obtaining the current underground effective water storage capacity of the target grid field, the method further includes:

[0015] Obtaining the soil type of the target grid field and the current growth stage of the crop in the target grid field, wherein the current growth stage represents the growth stage of the crop in the crop growth cycle;

[0016] Using a preset correspondence between growth stages and ground water storage status, determining whether there is ground water storage in the current growth stage of the crop in the target grid field;

[0017] If it exists, then according to the preset correspondence between the growth stage and the ground water layer depth and the current growth stage, the ground water layer depth corresponding to the current growth stage is obtained;

[0018] Obtaining the current effective above-ground water storage capacity of the target grid field according to the depth of the above-ground water layer and the grid field area of ​​the target grid field;

[0019] The current underground effective water storage capacity and the current above-ground effective water storage capacity of the target grid field are used as the current effective water storage capacity of the target grid field.

[0020] By adopting the above-mentioned technical scheme, the above-ground water storage situation of the target grid field at the current moment is determined through the current growth stage of the crop. If there is above-ground water storage, the current above-ground effective water storage of the target grid field is obtained according to the depth of the above-ground water layer and the area of ​​the grid field. The current underground effective water storage and the current above-ground effective water storage are then used as the current effective water storage of the target grid field. By increasing the consideration of the current above-ground effective water storage, the current effective water storage is obtained, so that the obtained water storage is more in line with the crop growth law and more in line with reality.

[0021] In a preferred example, the present application can be further configured as follows:

[0022] After taking the current underground effective water storage capacity and the current above-ground effective water storage capacity of the target grid field as the current effective water storage capacity of the target grid field, the method further includes:

[0023] Obtain the average daily water consumption and unit area water content boundary value of the target grid field, wherein the unit area water content boundary value at least includes the unit area water content upper limit;

[0024] Obtain weather forecasts in real time, and obtain the number of days until precipitation and the expected precipitation based on the weather forecast. The expected precipitation is the precipitation per unit area within the number of days until precipitation.

[0025] The current expected irrigation and drainage volume is obtained based on the grid field area, the upper limit of water content per unit area, the current effective water storage capacity, the number of days until precipitation, the expected precipitation and the average daily water consumption, wherein the current expected irrigation and drainage volume is used to limit the amount of water irrigating or draining the farmland at the current moment.

[0026] By adopting the above technical solution, after obtaining the average daily water consumption and the boundary value of the water content per unit area of ​​the target grid field, the weather forecast is obtained in real time, and the number of days to the precipitation day and the expected precipitation are obtained according to the weather forecast; finally, the current expected irrigation and drainage volume is obtained according to the grid field area, the upper limit of the water content per unit area, the current effective water storage capacity, the number of days to the precipitation day, the expected precipitation and the average daily water consumption. By taking precipitation into consideration in the process of obtaining the current expected irrigation and drainage volume, the probability that the current effective water storage capacity of the farmland exceeds the upper limit of the water content per unit area can be reduced, which is conducive to the growth of crops in the target grid field, and reduces the probability that the target grid field needs to be drained due to excessive irrigation water, thereby wasting water resources.

[0027] In a preferred example, the present application can be further configured as follows:

[0028] After obtaining the current estimated irrigation volume, it also includes:

[0029] Obtain the grid field entrance design flow of the target grid field, where the grid field entrance design flow represents the design flow of the equipment used for irrigation at the entrance and exit of the target grid field;

[0030] According to the designed flow rate of the grid field and the current expected irrigation and drainage volume, the current expected irrigation and drainage time of the target grid field is obtained, wherein the current expected irrigation and drainage time is at least used to limit the length of time for irrigating the farmland at the current moment.

[0031] By adopting the above technical solution, the current estimated irrigation and drainage time is obtained through the grid field mouth design flow of the target grid field and the current estimated irrigation and drainage volume, which is used to remind relevant personnel in the irrigation process to pay attention to the irrigation situation of the target grid field during the irrigation time, and the length of time for irrigating the farmland at the current moment can be limited. While providing unmanned irrigation for farmland irrigation, saving labor costs and making more accurate decisions on the timing of irrigation and drainage, combined with actual conditions, manual methods are used to make up for the irrigation conditions that unmanned irrigation cannot pay attention to, thereby improving the stability of the irrigation process.

[0032] In a preferred example, the present application can be further configured as follows:

[0033] After obtaining the current estimated irrigation and drainage volume, the method further includes:

[0034] determining whether an irrigation instruction is received, wherein the irrigation instruction is used to irrigate the farmland at the current moment;

[0035] If not, the expected next irrigation time of the target grid field is obtained according to the grid field area, the expected precipitation, the lower limit of water content per unit area, the average daily water consumption and the current effective water storage capacity.

[0036] By adopting the above technical solution, a decision-making mode of human intervention is added in the process of realizing unmanned irrigation. After receiving the irrigation instruction, the estimated next irrigation time of the target grid field can be obtained according to the grid field area, the lower limit of the water content per unit area, the average daily water consumption and the current effective water storage capacity. The irrigation decision for the target grid field at the current moment may include: starting irrigation or not starting irrigation. When irrigation is not started at the current moment, the current estimated irrigation and drainage volume cannot support subsequent irrigation work. Therefore, the estimated next irrigation time of the target grid field can be calculated to determine the next irrigation, improve the algorithm logic, and enhance the stability of the rice field irrigation decision model.

[0037] In a preferred example, the present application can be further configured as follows:

[0038] The step of obtaining the target grid field area includes:

[0039] When the cockpit deployment information is detected to be triggered, the grid area of ​​the target grid is obtained;

[0040] Accordingly, after obtaining the current estimated irrigation and drainage time of the target grid field, the method further includes:

[0041] The data cockpit displays the current effective water storage capacity, the current estimated irrigation and drainage volume, and the current estimated irrigation and drainage time of the target grid field.

[0042] By adopting the above technical solution, when the data cockpit deployment information is monitored and triggered, the grid field area of ​​the target grid field is obtained, and the relevant calculations of the water storage capacity are started to obtain the current effective water storage capacity, the current estimated irrigation and drainage capacity, and the current estimated irrigation and drainage time. The data required for irrigation at the current moment is provided to the management personnel, and reference data is provided for the management personnel to make decisions on whether to irrigate at the current moment.

[0043] In a preferred example, the present application can be further configured as follows:

[0044] After obtaining the current estimated irrigation and drainage time, it also includes:

[0045] Acquiring irrigation start information in real time, wherein the irrigation start information represents information generated before irrigation of the target grid field begins;

[0046] When the irrigation start information is monitored, the target grid field is irrigated using the current estimated irrigation and drainage volume and the current estimated irrigation and drainage time of the target grid field.

[0047] By adopting the above technical solution, in the unmanned irrigation mode, when the irrigation start information is monitored, the target grid field is irrigated using the current estimated irrigation and drainage volume and the current estimated irrigation and drainage time of the target grid field. After the rice field irrigation decision model decides to irrigate the target grid field in the form of manual decision, the target grid field is irrigated using the obtained current estimated irrigation and drainage volume and the current estimated irrigation and drainage time. Compared with manual irrigation, the unmanned irrigation mode is more efficient. Under the premise of unmanned irrigation, adding manual decision-making on irrigation timing can improve the flexibility of the rice field irrigation decision model usage process.

[0048] In a second aspect, the present application provides a device for calculating effective soil water storage capacity, which adopts the following technical solution:

[0049] A device for calculating effective soil water storage capacity, comprising:

[0050] The grid field area acquisition module is used to obtain the grid field area of ​​the target grid field;

[0051] A soil moisture content change curve acquisition module is used to obtain in real time the soil moisture content change curves corresponding to each of the multiple soil depth layers of the target grid field, wherein each soil moisture content change curve represents a change curve of the soil moisture content of each soil depth layer over time, and the distance between two adjacent soil depth layers is a unit depth interval;

[0052] A root reach layer determination module is used to obtain a number of root reach layers based on multiple soil moisture content change curves, wherein the root reach layer represents the soil depth layer that the crop roots in the grid field can reach;

[0053] The soil moisture content determination module is used to obtain the soil moisture content corresponding to each root arrival layer at the current moment in real time based on the soil moisture content change curve corresponding to each root arrival layer;

[0054] The current underground effective water storage capacity determination module is used to obtain the current underground effective water storage capacity of the target grid field based on the unit depth interval, the grid field area of ​​the target grid field and the soil moisture content corresponding to all root reaching layers.

[0055] In a third aspect, the present application provides an electronic device, which adopts the following technical solution:

[0056] at least one processor;

[0057] Memory;

[0058] At least one application, wherein the at least one application is stored in a memory and configured to be executed by at least one processor, and the at least one application is configured to: execute any of the above methods for calculating effective soil water storage capacity.

[0059] In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution:

[0060] A computer-readable storage medium stores a computer program, which, when executed in a computer, causes the computer to execute any of the above-mentioned methods for calculating effective soil water storage capacity.

[0061] In summary, this application includes at least one of the following beneficial technical effects:

[0062] 1. After obtaining the soil moisture change curves corresponding to multiple soil depth layers in real time, the multiple soil moisture change curves can be analyzed to determine the soil depth layers reached by the crop roots, and these can be used as the root arrival layers. Then, the soil moisture change curve corresponding to each root arrival layer is analyzed to obtain the soil moisture content corresponding to each root arrival layer at the current moment in real time. The water storage capacity is calculated based on the unit depth interval, grid field area, and the soil moisture content corresponding to all root arrival layers to obtain the current underground effective water storage capacity of the target grid field. This water capacity determination method is more efficient and accurate than manual judgment.

[0063] 2. Determine whether the target field currently has aboveground water storage based on the current crop growth stage. If so, calculate the current effective aboveground water storage capacity of the target field based on the depth of the aboveground water layer and the field area. The current effective underground water storage capacity and the current effective aboveground water storage capacity are then used as the current effective water storage capacity of the target field. By taking into account the current effective aboveground water storage capacity, the calculated current effective water storage capacity is more consistent with crop growth patterns and more realistic.

[0064] 3. After obtaining the average daily water consumption and the boundary value of the water content per unit area of ​​the target grid field, obtain the weather forecast in real time, and obtain the number of days to precipitation and the expected precipitation based on the weather forecast; finally, obtain the current expected irrigation and drainage volume based on the grid field area, the upper limit of water content per unit area, the current effective water storage capacity, the number of days to precipitation, the expected precipitation and the average daily water consumption. By taking precipitation into consideration in the process of obtaining the current expected irrigation and drainage volume, the probability that the current effective water storage capacity of the farmland exceeds the upper limit of water content per unit area can be reduced, which is conducive to the growth of crops in the target grid field, and reduces the probability that the target grid field needs to be drained due to excessive irrigation water, thereby wasting water resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] Figure 1 This is a flow chart of a method for calculating effective soil water storage capacity provided in an embodiment of the present application.

[0066] Figure 2 This is a schematic diagram of the structure of a device for calculating effective soil water storage capacity provided in an embodiment of the present application.

[0067] Figure 3 This is a structural diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0068] The present application is further described in detail below with reference to the accompanying drawings.

[0069] This specific embodiment is merely an explanation of the present application and is not a limitation of the present application. After reading this specification, those skilled in the art may make non-creative modifications to the present embodiment as needed, but as long as they are within the scope of the present application, they are protected by patent law.

[0070] To make the objectives, technical solutions, and advantages of the embodiments of this application more clear, the technical solutions in the embodiments of this application are clearly and completely described. Obviously, the described embodiments are part of the embodiments of this application, not all of the embodiments. Based on the embodiments of this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0071] In this document, the term "and / or" simply describes a relationship between related objects, indicating that three possible relationships exist. For example, "A and / or B" can represent: A exists alone, A and B exist simultaneously, or B exists alone. Furthermore, the character " / " in this document, unless otherwise specified, generally indicates an "or" relationship between the related objects.

[0072] Since artificial irrigation cannot determine the water storage situation in the rice field soil, it is impossible to determine the amount of irrigation water, which leads to excessive irrigation water and waste of water resources. The inventors have found that unmanned irrigation can be achieved by constructing a rice field irrigation decision model, which can accurately determine the effective water storage capacity of the field and improve irrigation efficiency.

[0073] The rice field irrigation decision-making model is the core of the unmanned farm precision irrigation system and the brain behind intelligent irrigation decision-making. Based on the innovation of advanced IoT sensing and intelligent equipment in rice fields, combined with practical experience in the application of water-saving control irrigation technology in rice fields in the Sanjiang Plain, a smart irrigation control algorithm for rice fields was developed. The intelligent levels of smart irrigation for rice fields were defined. Through pilot demonstrations, a control algorithm suitable for large-scale smart irrigation production in the Sanjiang Plain was developed, supporting the development of intelligent modern agriculture in the Sanjiang Plain. The unmanned farm precision irrigation system is based on rice field information monitoring, terminal control, and information collection from monitoring equipment. Integrating practical experience in the application of "shallow, wet, and dry" irrigation technology in rice fields, the system achieves intelligent irrigation, scientific decision-making, and management of advanced unmanned irrigation models.

[0074] In the rice field irrigation decision-making model, the inventors found that the effective water storage capacity of the field can be determined by obtaining the grid field area of ​​the target grid field and the soil moisture content change curves corresponding to multiple soil depth layers; based on the multiple soil moisture content change curves, several root arrival layers are obtained; based on the soil moisture content change curve corresponding to each root arrival layer, the soil moisture content corresponding to each root arrival layer at the current moment is obtained in real time; based on the unit depth interval, the grid field area of ​​the target grid field and the soil moisture content corresponding to all root arrival layers, the current underground effective water storage capacity of the target grid field is obtained to achieve a water-saving effect.

[0075] The embodiments of the present application are described in further detail below with reference to the accompanying drawings.

[0076] The embodiment of the present application provides a method for calculating the effective water storage capacity of soil, which is executed by an electronic device, which can be a server or a terminal device, wherein the server can be an independent physical server, a server cluster or a distributed system composed of multiple physical servers, or a cloud server that provides cloud computing services. The terminal device can be a smart phone, a tablet computer, a laptop computer, a desktop computer, etc., but is not limited to this. The terminal device and the server can be directly or indirectly connected through wired or wireless communication. The embodiment of the present application does not limit this. Figure 1 As shown, the method includes steps S101, S102, S103, S104 and S105, wherein:

[0077] Step S101: Obtain the grid area of ​​the target grid field.

[0078] Specifically, the identification information of the target grid field is obtained, wherein the identification information is a name or a number, and the grid field area of ​​the target grid field is obtained according to the correspondence between the preset identification information and the grid field area and the representation information of the target grid field, wherein the correspondence between the preset identification information and the grid field area is obtained in advance through measurement.

[0079] Step S102: Real-time acquisition of soil moisture content change curves corresponding to multiple soil depth layers of the target grid field, wherein each soil moisture content change curve represents a change curve of soil moisture content of each soil depth layer over time, and the distance between two adjacent soil depth layers is a unit depth interval.

[0080] Specifically, the unit depth interval is determined based on the actual use of the target grid field. This can include experimental fields and commercial fields. The unit depth interval is the vertical spacing of the sensors used to monitor soil moisture. In this solution, the sensors can be any type of soil moisture meter. As for the vertical spacing, it is understood that experimental fields require greater data accuracy than commercial fields. Therefore, the unit depth interval for experimental fields can be set to 5 cm, and the unit depth interval for commercial fields can be set to 10 cm.

[0081] Counting from the surface downward, the values ​​of the sensor sequence are determined as the values ​​of each soil depth layer sequence to obtain multiple soil depth layers. For example, when the unit depth interval of the target grid field is 10CM, the first soil depth layer is 0 to 10CM below the surface, and the second soil depth layer is 10CM to 20CM below the surface.

[0082] For each soil depth layer, real-time soil moisture data is acquired from the corresponding sensor. This initial soil moisture curve is generated, with time as the horizontal axis and soil moisture as the vertical axis. This initial soil moisture curve is deburred to remove distorted moisture content, resulting in the resulting soil moisture curve.

[0083] It can be understood that the method of obtaining the moisture content of each soil depth layer may include manual measurement or acquisition by sensors. Preferably, the present application uses sensors to directly acquire soil moisture content, which can collect moisture content data in real time, saving manpower, and the amount of collected data is large, making the soil moisture content change curve more accurate.

[0084] Step S103: obtaining a plurality of root reach layers according to the plurality of soil moisture content change curves, wherein the root reach layer represents the soil depth layer that can be reached by the roots of the crops in the grid field.

[0085] It can be understood that the method of determining the root arrival layer may include field determination, or through the soil moisture content change curve; wherein, field determination may specifically include field measurement of the rhizome lengths of several crops in the target grid field, and obtaining several rhizome arrival layers from the several rhizome lengths obtained by the rhizome measurement, and the number of rhizome lengths is irrelevant to the number of root arrival layers; obtaining several root arrival layers from the soil moisture content change curve may specifically include determining the root arrival layer by judging whether the soil moisture content change curves are the same.

[0086] Preferably, the embodiment of the present application uses a soil moisture content change curve to obtain several root reach layers.

[0087] Specifically, multiple soil moisture change curves are input into a change trend judgment model. In the change trend judgment model, it is determined whether there are any multiple soil moisture change curves whose derivative values ​​change positively or negatively at the same time. The change trend judgment model is used to determine whether there are any multiple soil moisture change curves whose derivative values ​​change positively or negatively at the same time. If so, it means that at a certain moment, multiple soil moisture change curves whose derivative values ​​change positively or negatively have the same change trend, that is, there are crop roots in the soil depth layer corresponding to the soil moisture change curves whose derivative values ​​change positively or negatively. The soil depth layer corresponding to each soil moisture change curve whose derivative value changes positively or negatively is determined as each root arrival layer to obtain multiple root arrival layers. If not, it indicates that the crop roots have only reached the first soil depth layer, and the first soil depth layer is determined as the only root arrival layer to obtain the only root arrival layer.

[0088] Step S104: According to the soil moisture content variation curve corresponding to each root arrival layer, the soil moisture content corresponding to each root arrival layer at the current moment is obtained in real time.

[0089] It is understandable that both the water absorption of crops and the natural evaporation of water in the soil may lead to changes in soil moisture content. Moreover, at different depths, the water absorption capacity of crops and the natural evaporation of water in the soil may be different. Therefore, it is necessary to obtain the soil moisture content corresponding to each root-reached layer.

[0090] Step S105: Obtain the current underground effective water storage capacity of the target grid field according to the unit depth interval, the grid field area of ​​the target grid field and the soil moisture content corresponding to all root reach layers.

[0091] Specifically, for each root-reaching layer, the water content of the root-reaching layer is calculated according to the soil moisture content and unit depth interval corresponding to the root-reaching layer using the water content calculation formula of the root-reaching layer. The water content of the root-reaching layer can be calculated as follows: water content of the root-reaching layer = soil moisture content of the root-reaching layer × unit depth interval;

[0092] The water volume of all root-reached layers is summed to obtain the effective water volume of soil per unit area. The water volume at the soil depth that crop roots and stems cannot reach is the invalid volume, which has nothing to do with crop growth and is not used as a basis for calculation. According to the effective water volume of soil per unit area and the grid area of ​​the target grid field, the effective water storage capacity of the target grid field is calculated using the calculation formula for effective water storage capacity. The calculation formula for effective water storage capacity can be: effective water storage capacity = effective water volume of soil per unit area × grid area.

[0093] In an embodiment of the present application, after obtaining the soil moisture change curves corresponding to multiple soil depth layers in real time, the multiple soil moisture change curves can be analyzed to determine that the crop roots have reached several soil depth layers, and use them as several root arrival layers; then, the soil moisture change curve corresponding to each root arrival layer is subjected to moisture analysis to obtain the soil moisture content corresponding to each root arrival layer at the current moment in real time; and the water storage capacity is calculated based on the unit depth interval, grid field area and the soil moisture content corresponding to all root arrival layers to obtain the current underground effective water storage capacity of the target grid field. The water volume determination method is more efficient and accurate than manual judgment.

[0094] In a possible implementation of the embodiment of the present application, after step S105, the process may further include steps S1061 to S1065 (not shown in the figure), wherein:

[0095] Step S1061: Acquire the current growth stage of the crop in the target grid field, wherein the current growth stage represents the growth stage of the crop in the crop growth cycle.

[0096] Specifically, the method of determining the current growth stage of the crop may include obtaining it through manual judgment, or obtaining it based on leaf age monitoring equipment. Preferably, the leaf age monitoring equipment is used to obtain crop images of the crops in the target grid field, and the current growth cycle of the crop is obtained by analyzing the crop images.

[0097] Step S1062: using the preset correspondence between the growth stage and the ground water storage state, it is determined whether there is ground water storage in the current growth stage of the crop in the target grid field.

[0098] Among them, the correspondence between the growth stage and the ground water storage status can be obtained by analyzing the historical data of crop growth in the target grid field.

[0099] Specifically, if it does not exist, it indicates that the target grid field does not require aboveground water storage, and only underground water storage is considered, with the current effective underground water storage capacity being sufficient. It is understandable that crops at different growth stages have different requirements for aboveground water storage. To ensure healthy crop growth, the water demand of the crop at the current growth stage must be met. If it exists, it indicates that both aboveground and underground water storage are present, and the water storage capacity of both aboveground and underground water storage should be considered.

[0100] Step S1063: If it exists, the depth of the groundwater layer of the target grid field is obtained.

[0101] Specifically, the depth of the ground water layer of the target grid field can be obtained through manual measurement and then uploaded to the rice field irrigation decision model, or obtained through sensor sensing and then uploaded to the rice field irrigation decision model.

[0102] Step S1064: according to the depth of the ground water layer and the grid area of ​​the target grid field, the current effective ground water storage capacity of the target grid field is obtained.

[0103] Specifically, the current effective ground water storage capacity = the depth of the ground water layer × the area of ​​the grid field, where the unit of the current effective ground water storage capacity is m³.

[0104] Step S1065: The current underground effective water storage capacity and the current above-ground effective water storage capacity of the target grid field are used as the current effective water storage capacity of the target grid field.

[0105] In an embodiment of the present application, it is determined whether there is ground water storage in the target grid field at the current moment through the current growth stage of the crop. If so, the current effective ground water storage capacity of the target grid field is obtained based on the depth of the ground water layer and the area of ​​the grid field. The current underground effective water storage capacity and the current effective ground water storage capacity are then used as the current effective water storage capacity of the target grid field. By increasing consideration of the current effective ground water storage capacity, the current effective water storage capacity is obtained, so that the obtained water storage capacity is more in line with the law of crop growth and more in line with reality.

[0106] A possible implementation of the embodiment of the present application may further include steps SA1 to SA3 (not shown in the figure) after obtaining the current effective water storage capacity in step S1065, wherein:

[0107] Step SA1: Obtain the average daily water consumption and unit area water content boundary value of the target grid field, wherein the unit area water content boundary value at least includes the unit area water content lower limit.

[0108] Specifically, the depth of the aboveground water layer of the target grid field for multiple days is obtained; based on multiple soil moisture change curves, the total underground water content per unit area for multiple days without precipitation is obtained, wherein the total underground water content per unit area represents the sum of the products of the soil moisture content corresponding to each root arrival layer at the same time and the unit depth interval; based on the depth of the aboveground water layer of the target grid field for multiple days, the specific number of days and the total underground water content per unit area of ​​the target grid field for multiple days, the average daily water consumption is obtained.

[0109] Obtain the code of the target grid field, wherein the code may include a name or number; obtain the soil type of the target grid field based on the correspondence between the preset code and the soil type and the code of the target grid field. It can be understood that different types of soil have different water holding capacities, so the soil type needs to be determined before irrigation; obtain the water demand corresponding to the current growth stage based on the correspondence between the preset growth stage and the water demand and the current growth stage, wherein the correspondence between the growth stage and the water demand can be obtained through historical data; obtain the unit area water content boundary value of the target grid field soil based on the water demand and the soil type, wherein the unit area water content boundary value may include an upper limit of the unit area water content and a lower limit of the unit area water content.

[0110] Step SA2: Obtain weather forecast in real time, and obtain the number of days until the precipitation day and the expected precipitation according to the weather forecast, wherein the expected precipitation is the precipitation per unit area within the number of days until the precipitation day.

[0111] Specifically, the weather forecast is obtained in real time, and the number of days to the precipitation day is obtained based on several precipitation dates in the past 7 days in the weather forecast and the latest precipitation date among the precipitation dates, wherein the precipitation days in the past 7 days may be zero days or one or more days, which is related to the weather forecast; according to the precipitation degree corresponding to each of the precipitation dates in the weather forecast and the correspondence between the preset precipitation degree and the surface rainfall range, the surface rainfall corresponding to each of the precipitation dates is obtained, wherein the precipitation degree may at least include no precipitation, light rain, moderate rain or heavy rain, and the surface rainfall corresponding to the precipitation date is the median of the surface rainfall range corresponding to the precipitation degree; according to the surface rainfall corresponding to each of the precipitation dates, the grid field area and the precipitation dates, the expected precipitation is obtained, wherein the expected precipitation for each precipitation date = the rainfall per unit area corresponding to the precipitation date × the grid field area, and the expected precipitation is the sum of the expected precipitation for the precipitation dates.

[0112] It is understandable that there is an upper limit to the amount of water for farmland irrigation, namely the upper limit of water content per unit area. In order to ensure that the current effective water storage capacity of the farmland does not exceed the upper limit of water content per unit area, it is necessary to consider the amount of water from precipitation. This can reduce the possibility that the current effective water storage capacity of the farmland is greater than the upper limit of water content per unit area, which is conducive to the growth of crops in the target grid field.

[0113] Step SA3: Based on the grid field area, the upper limit of water content per unit area, the current effective water storage capacity, the number of days until precipitation, the expected precipitation and the average daily water consumption, the current expected irrigation and drainage volume is obtained. The current expected irrigation and drainage volume is used to limit the amount of water irrigated or discharged from the farmland at the current moment.

[0114] Among them, the current expected irrigation and drainage volume = [(upper limit of water content per unit area above ground × grid field area - current effective water storage capacity above ground) + (upper limit of water content per unit area underground × grid field area - current effective water storage capacity underground)] - expected precipitation + average daily water consumption × number of days until precipitation; the boundary value of water content per unit area underground includes the upper limit and lower limit of water content per unit area underground; when there is no precipitation in the past seven days, the expected precipitation defaults to 0.

[0115] It can be understood that the product of the upper limit of the above-ground water content per unit area and the grid field area represents the upper limit of the above-ground water holding capacity of the target grid field; the difference between the upper limit of the above-ground water holding capacity of the target grid field and the current effective above-ground water storage capacity represents the expected above-ground irrigation volume when there is no precipitation; the method for obtaining the expected underground irrigation volume when there is no precipitation can refer to the expected above-ground irrigation volume when there is no precipitation, among which the upper limit of the above-ground water holding capacity and the upper limit of the underground water holding capacity are used as the upper limit of the water holding capacity of the target grid field; the product of the average daily water consumption and the number of days to the precipitation day represents the total water consumption of the target grid field before the most recent precipitation day.

[0116] Among them, when the current expected irrigation and drainage volume is a positive number, it means that the current effective water storage capacity is less than the upper limit of the water holding capacity of the target grid field, and the target grid field can be irrigated based on the current expected irrigation and drainage volume; when the current expected irrigation and drainage volume is a negative number, it means that the current effective water storage capacity is greater than the upper limit of the water holding capacity of the target grid field, and the target grid field needs to be drained; when the current expected irrigation and drainage volume is 0, it means that the current effective water storage capacity is equal to the upper limit of the water holding capacity of the target grid field, and the target grid field does not need to be irrigated.

[0117] In an embodiment of the present application, after obtaining the average daily water consumption and the boundary value of the water content per unit area of ​​the target grid field, the weather forecast is obtained in real time, and the number of days until precipitation and the expected precipitation are obtained based on the weather forecast; finally, the current expected irrigation and drainage volume is obtained based on the grid field area, the upper limit of water content per unit area, the current effective water storage capacity, the number of days until precipitation, the expected precipitation and the average daily water consumption. By taking precipitation into consideration in the process of obtaining the current expected irrigation and drainage volume, the probability that the current effective water storage capacity of the farmland exceeds the upper limit of water content per unit area can be reduced, which is conducive to the growth of crops in the target grid field, and reduces the probability that the target grid field needs to be drained due to excessive irrigation water, thereby wasting water resources.

[0118] A possible implementation of the embodiment of the present application may further include steps SB1 (not shown in the figure) and SB2 (not shown in the figure) after obtaining the current estimated irrigation and drainage volume in step SA3, wherein:

[0119] Step SB1: Obtain the grid field entrance design flow of the target grid field, wherein the grid field entrance design flow represents the design flow of the equipment used for irrigation at the entrance and exit of the target grid field.

[0120] Generally, in water supply and drainage projects, in order to ensure that the maximum water supply at the most unfavorable moment can be delivered quickly and safely, the water supply / drainage design flow rate of a certain pipe section should be the instantaneous maximum water supply / drainage flow rate of the pipe section, also known as the water supply / drainage design flow rate.

[0121] Step SB2: According to the designed flow rate of the grid field and the current estimated irrigation and drainage volume, the current estimated irrigation and drainage time of the target grid field is obtained, wherein the current estimated irrigation and drainage time can at least be used to limit the length of time for irrigating the farmland at the current moment.

[0122] Specifically, the current estimated irrigation and drainage time = the current estimated irrigation and drainage volume ÷ the grid field mouth design flow.

[0123] In an embodiment of the present application, the current estimated irrigation and drainage time is obtained through the grid field mouth design flow of the target grid field and the current estimated irrigation and drainage volume, which is used to remind relevant personnel in the irrigation process to pay attention to the irrigation situation of the target grid field during the irrigation time, and the length of time for irrigating the farmland at the current moment can be limited. While providing an unmanned irrigation method for farmland irrigation to save labor costs and make more accurate decisions on the timing of irrigation and drainage, combined with actual conditions, manual methods are used to make up for the irrigation conditions that unmanned irrigation cannot pay attention to, thereby improving the stability of the irrigation process.

[0124] A possible implementation of the embodiment of the present application may include, after obtaining the current estimated irrigation and drainage volume in step SA3, the following steps:

[0125] Determine whether an irrigation instruction is received, where the irrigation instruction is used to irrigate the farmland at a current moment.

[0126] Specifically, irrigation instructions can be received through a mobile terminal, and the background scans the information from the mobile terminal at a preset scanning frequency to determine whether the instructions from the mobile terminal include irrigation instructions. If not, it indicates that the target grid field does not need to be irrigated at the current moment, and the specific time of the next irrigation needs to be calculated. If included, it indicates that irrigation starts at the current moment, and the specific time of the next irrigation does not need to be calculated.

[0127] If not, the expected next irrigation time of the target grid field is obtained based on the grid field area, expected precipitation, lower limit of water content per unit area, average daily water consumption and current effective water storage capacity.

[0128] Specifically, the product of the lower limit of water content per unit area and the grid field area is used as the lower limit of target grid field water holding capacity; based on the calculation formula of the expected next irrigation time, the expected next irrigation time is calculated according to the expected precipitation, average daily water consumption, current effective water storage capacity and the lower limit of target grid field water holding capacity. The calculation formula of the expected next irrigation time can be:

[0129] Estimated time for next irrigation = (current effective water storage - lower limit of target grid field water holding capacity + expected precipitation) ÷ daily water consumption.

[0130] It can be understood that in order to ensure the growth of crops in the target grid field, the minimum value of the current effective water storage capacity is the lower limit of the water holding capacity of the target grid field; the difference between the current effective water storage capacity at the current moment and the lower limit of the water holding capacity of the target grid field indicates the amount of water that can still be consumed by the target grid field under the premise of no precipitation and irrigation. It can be seen that the result of the amount of water that can still be consumed by the target grid field plus the sum of the expected precipitation and then divided by the daily water consumption is the number of days required for the current effective water storage capacity of the target grid field to be consumed to the lower limit of the field water holding capacity at the current moment, taking rainfall into account.

[0131] In an embodiment of the present application, in the process of implementing unmanned irrigation, a decision-making mode of human intervention is added. After receiving the irrigation instruction, the estimated next irrigation time of the target grid field can be obtained according to the grid field area, the lower limit of water content per unit area, the average daily water consumption and the current effective water storage capacity. The irrigation decision for the target grid field at the current moment may include: starting irrigation or not starting irrigation. When irrigation is not started at the current moment, the current estimated irrigation and drainage volume cannot support subsequent irrigation work. Therefore, the estimated next irrigation time of the target grid field can be calculated to determine the next irrigation, improve the algorithm logic, and enhance the stability of the rice field irrigation decision model.

[0132] In a possible implementation of the embodiment of the present application, when executing step S101 to obtain the grid field area of ​​the target grid field, the following steps may be specifically included:

[0133] When the data cockpit deployment information is detected to be triggered, the grid area of ​​the target grid is obtained.

[0134] Specifically, the data cockpit expansion information can be received through a mobile terminal or PC. When the data cockpit expansion information is monitored to be triggered, it indicates that there may be a need to irrigate the target grid field at the current moment, and the data that may be used for irrigation at the current moment needs to be calculated. When the data cockpit expansion information is not triggered, it indicates that there is no need to irrigate the target grid field at the current moment. The data that may be used for irrigation at the current moment may include the current effective water storage capacity, the current expected irrigation and drainage capacity, and the current expected irrigation and drainage time.

[0135] Accordingly, after obtaining the current estimated irrigation and drainage time of the target grid field in step SB2, the following steps may be specifically performed:

[0136] The data cockpit displays the current effective water storage capacity, current estimated irrigation and drainage volume, and current estimated irrigation and drainage time of the target grid field.

[0137] In an embodiment of the present application, in the unmanned irrigation mode, when the data cockpit deployment information is monitored and triggered, the grid field area of ​​the target grid field is obtained, and the relevant calculations of the water storage capacity are started to obtain the current effective water storage capacity, the current expected irrigation and drainage capacity, and the current expected irrigation and drainage time, to provide the management personnel with the data required for irrigation at the current moment, and provide reference data for the management personnel to make decisions on whether to irrigate at the current moment.

[0138] A possible implementation of the embodiment of the present application may further include step SC1 (not shown in the figure) and step SC2 (not shown in the figure) after obtaining the current estimated irrigation and drainage time in step SB2, wherein:

[0139] Step SC1: Acquire irrigation start information in real time, wherein the irrigation start information represents information generated before the target grid field starts to be irrigated.

[0140] Specifically, the irrigation start information can be received through a mobile terminal or PC. When the irrigation start information is received, it means that the irrigation timing is manually decided, and the target grid field is irrigated at the current moment. The decision-making methods include manual decision-making on the irrigation timing and automatic decision-making on the irrigation timing. When the irrigation start information is received, it means that the irrigation timing is automatically decided, and there is no need to irrigate the farmland at the current moment.

[0141] Step SC2: When the irrigation start information is monitored, the target grid field is irrigated using the current estimated irrigation and drainage volume and the current estimated irrigation and drainage time of the target grid field.

[0142] Specifically, when the irrigation start information is monitored, the current irrigation amount can be monitored by the sensor at the water supply / drainage pipeline. When the current irrigation time reaches the current expected irrigation and drainage time, it is determined whether the current irrigation amount has reached the current expected irrigation and drainage amount, where the irrigation amount is the amount of water received by the target farmland after the irrigation starts, and the current irrigation time is the time when the irrigation has started; if it is reached, it means that the current effective water storage capacity of the target grid field has reached the upper limit of the field water holding capacity, and irrigation cannot be continued to ensure water conservation and crop growth; if it is not reached, it means that the average flow rate of the water supply / drainage pipeline is less than the involved flow rate, and the target grid field needs to continue to be irrigated to the upper limit of the field water holding capacity, and a supervision prompt is issued. The current irrigation amount is monitored according to the sensor at the water supply / drainage pipeline, and irrigation is maintained until the current irrigation amount reaches the current expected irrigation and drainage amount, where the supervision prompt is used to remind management personnel to pay attention to the irrigation process of the target grid field.

[0143] In an embodiment of the present application, when irrigation start information is monitored, the target grid field is irrigated using the current estimated irrigation and drainage volume and the current estimated irrigation and drainage time of the target grid field. After the rice field irrigation decision model decides to irrigate the target grid field in the form of manual decision-making, the target grid field is irrigated using the obtained current estimated irrigation and drainage volume and the current estimated irrigation and drainage time. Compared with manual irrigation, unmanned irrigation is more efficient. Under the premise of unmanned irrigation, adding manual decision-making on irrigation timing can improve the flexibility of the rice field irrigation decision model usage process.

[0144] A possible implementation of the embodiment of the present application may further include step SE1 (not shown in the figure) and step SE2 (not shown in the figure) after obtaining the estimated next irrigation time of the target grid field, wherein:

[0145] Step SE1: obtaining irrigation start information and grid field design flow of target grid field in real time;

[0146] Among them, irrigation start information represents the information generated before the target grid field begins irrigation. Generally, in water supply and drainage projects, in order to ensure that the maximum water supply at the most unfavorable moment can be delivered quickly and safely, the water supply / drainage grid field outlet design flow of a certain pipe section should be the instantaneous maximum water supply / drainage flow of the pipe section, also known as the water supply / drainage grid field outlet design flow.

[0147] Step SE2: When no irrigation start information is detected, the irrigation amount is automatically estimated based on the water content boundary value per unit area of ​​the target grid field;

[0148] According to the automatically estimated irrigation amount and the grid field design flow, the next estimated irrigation time is obtained; and based on the automatically estimated irrigation amount, the next estimated irrigation time and the next estimated irrigation time, the target grid field is irrigated.

[0149] Specifically, if no irrigation start information is monitored, it means that the rice field irrigation decision model has not selected the manual decision irrigation time. When the manual decision irrigation time is not selected by default, the rice field irrigation decision model selects the automatic decision irrigation time; according to the grid field area of ​​the target grid field and the boundary value of the water content per unit area, based on the calculation formula of the automatic estimated irrigation amount, the automatic estimated irrigation amount is calculated, wherein the calculation formula of the automatic estimated irrigation amount can be: automatic estimated irrigation amount = (upper limit of water content per unit area - lower limit of water content per unit area) × grid field area; after the next estimated irrigation time is reached, the target grid field is irrigated based on the automatic estimated irrigation amount and the next estimated irrigation time, wherein the specific irrigation process can refer to the specific irrigation process of step SC2.

[0150] In an embodiment of the present application, when no irrigation start information is monitored, the default rice field irrigation decision model selects automatic decision-making on the irrigation timing. By irrigating the target grid field based on the automatic estimated irrigation amount and the next estimated irrigation time after the next estimated irrigation time is reached, an implementation method for automatic decision-making is provided, which can improve the stability of the rice field irrigation decision model to a certain extent.

[0151] The above embodiment introduces a method for determining farmland water storage capacity from the perspective of method flow. The following embodiment introduces a device for determining farmland water storage capacity from the perspective of a virtual module or virtual unit. Please refer to the following embodiment for details.

[0152] The present application embodiment provides a device for calculating effective soil water storage capacity, such as Figure 2 As shown, the calculation device of the effective soil water storage capacity may specifically include:

[0153] The grid field area acquisition module 201 is used to obtain the grid field area of ​​the target grid field;

[0154] The soil moisture content change curve acquisition module 202 is used to obtain, in real time, soil moisture content change curves corresponding to multiple soil depth layers of the target grid field, wherein each soil moisture content change curve represents a change curve of the soil moisture content of each soil depth layer over time, and the distance between two adjacent soil depth layers is a unit depth interval;

[0155] The root reaching layer determination module 203 is used to obtain a plurality of root reaching layers based on a plurality of soil moisture content change curves, wherein the root reaching layer represents the soil depth layer that the crop roots in the grid field can reach;

[0156] The soil moisture content determination module 204 is used to obtain the soil moisture content corresponding to each root arrival layer at the current moment in real time based on the soil moisture content change curve corresponding to each root arrival layer;

[0157] The current underground effective water storage capacity determination module 205 is used to obtain the current underground effective water storage capacity of the target grid field based on the unit depth interval, the grid field area of ​​the target grid field and the soil moisture content corresponding to all root reach layers.

[0158] For the embodiment of the present application, after obtaining the soil moisture change curves corresponding to multiple soil depth layers in real time, the multiple soil moisture change curves can be analyzed to determine that the crop roots have reached several soil depth layers, and use them as several root arrival layers; then, the soil moisture change curve corresponding to each root arrival layer is subjected to moisture analysis to obtain the soil moisture content corresponding to each root arrival layer at the current moment in real time; and the water storage capacity is calculated based on the unit depth interval, grid field area and the soil moisture content corresponding to all root arrival layers to obtain the current underground effective water storage capacity of the target grid field. The water volume determination method is more efficient and accurate than manual judgment.

[0159] In a possible implementation of the embodiment of the present application, the device for calculating effective soil water storage capacity further includes:

[0160] The current effective water storage capacity determination module is used to:

[0161] Obtaining the soil type of the target grid field and the current growth stage of the crop in the target grid field, wherein the current growth stage represents the growth stage of the crop in the crop growth cycle;

[0162] Using the preset correspondence between growth stages and ground water storage status, it is determined whether there is ground water storage at the current growth stage of the crop in the target grid field;

[0163] If it exists, then according to the preset correspondence between the growth stage and the ground water layer depth and the current growth stage, the ground water layer depth corresponding to the current growth stage is obtained;

[0164] According to the depth of the ground water layer and the grid area of ​​the target grid field, the current effective ground water storage capacity of the target grid field is obtained;

[0165] The current underground effective water storage capacity and the current above-ground effective water storage capacity of the target grid field are taken as the current effective water storage capacity of the target grid field.

[0166] In a possible implementation of the embodiment of the present application, the device for calculating effective soil water storage capacity further includes:

[0167] The current estimated irrigation and drainage volume determination module is used to:

[0168] Obtain the average daily water consumption and unit area water content boundary value of the target grid field, wherein the unit area water content boundary value at least includes the unit area water content upper limit;

[0169] Obtain weather forecasts in real time, and obtain the number of days until precipitation and the expected precipitation based on the weather forecast. The expected precipitation is the precipitation per unit area within the number of days until precipitation.

[0170] The current expected irrigation and drainage volume is obtained based on the grid field area, the upper limit of water content per unit area, the current effective water storage capacity, the number of days until precipitation, the expected precipitation and the average daily water consumption. The current expected irrigation and drainage volume is used to limit the amount of water irrigating or draining the farmland at the current moment.

[0171] In a possible implementation of the embodiment of the present application, the device for calculating effective soil water storage capacity further includes:

[0172] The module for determining the current estimated irrigation and drainage time is used to:

[0173] Obtain the grid field entrance design flow of the target grid field, where the grid field entrance design flow represents the design flow of the equipment used for irrigation at the entrance and exit of the target grid field;

[0174] According to the designed flow rate of the grid field and the current expected irrigation and drainage volume, the current expected irrigation and drainage time of the target grid field is obtained, wherein the current expected irrigation and drainage time can at least be used to limit the length of time for irrigating the farmland at the current moment.

[0175] In a possible implementation of the embodiment of the present application, the device for calculating effective soil water storage capacity further includes:

[0176] The module for determining the estimated next irrigation time is used to:

[0177] determining whether an irrigation instruction is received, wherein the irrigation instruction is used to irrigate the farmland at the current moment;

[0178] If not, the expected next irrigation time of the target grid field is obtained based on the grid field area, expected precipitation, lower limit of water content per unit area, average daily water consumption and current effective water storage capacity.

[0179] In a possible implementation of the embodiment of the present application, the grid field area acquisition module 201, when executing the acquisition of the grid field area of ​​the target grid field, is used to:

[0180] When the data cockpit deployment information is detected to be triggered, the grid area of ​​the target grid is obtained.

[0181] Accordingly, the device for calculating effective soil water storage capacity also includes:

[0182] Data cockpit display module, used for:

[0183] The data cockpit displays the current effective water storage capacity, current estimated irrigation and drainage volume, and current estimated irrigation and drainage time of the target grid field.

[0184] In a possible implementation of the embodiment of the present application, the device for calculating effective soil water storage capacity further includes:

[0185] The current irrigation module is used to:

[0186] Acquire irrigation start information in real time, wherein the irrigation start information represents information generated before the target grid field begins irrigation;

[0187] When the irrigation start information is monitored, the target grid field is irrigated using the current estimated irrigation and drainage volume and the current estimated irrigation and drainage time of the target grid field.

[0188] In a possible implementation of the embodiment of the present application, the device for calculating effective soil water storage capacity further includes:

[0189] Next irrigation module for:

[0190] Obtain irrigation start information and grid field design flow of target grid fields in real time;

[0191] When the irrigation start information is not monitored, the automatic estimated irrigation amount is obtained based on the grid field area and the water content boundary value per unit area of ​​the target grid field; the next estimated irrigation time is obtained based on the automatic estimated irrigation amount and the grid field mouth design flow; and the target grid field is irrigated based on the automatic estimated irrigation amount, the next estimated irrigation time and the next estimated irrigation time.

[0192] An electronic device is provided in an embodiment of the present application, such as Figure 3 As shown, Figure 3 The electronic device shown includes a processor 301 and a memory 303. The processor 301 and the memory 303 are connected, for example, via a bus 302. Optionally, the electronic device may further include a transceiver 304. It should be noted that in practice, the number of transceivers 304 is not limited to one, and the structure of the electronic device does not constitute a limitation on the embodiments of the present application.

[0193] Processor 301 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or other programmable logic device, transistor logic device, hardware component, or any combination thereof. It may implement or execute the various exemplary logic blocks, modules, and circuits described in conjunction with the disclosure of this application. Processor 301 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, or a combination of a DSP and a microprocessor.

[0194] The bus 302 may include a path for transmitting information between the above components. The bus 302 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. The bus 302 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3 Only one thick line is used in the diagram, but it does not mean that there is only one bus or one type of bus.

[0195] The memory 303 may be a ROM (Read Only Memory) or other types of static storage devices that can store static information and instructions, a RAM (Random Access Memory) or other types of dynamic storage devices that can store information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical disk storage, optical disk storage (including compact discs, laser discs, optical discs, digital versatile discs, Blu-ray discs, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto.

[0196] The memory 303 is used to store application code for executing the solution of the present application, and the execution is controlled by the processor 301. The processor 301 is used to execute the application code stored in the memory 303 to implement the content shown in the above method embodiment.

[0197] Electronic devices include, but are not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), and in-vehicle terminals (e.g., in-vehicle navigation terminals), as well as fixed terminals such as digital TVs and desktop computers. They may also include servers, etc. Figure 3 The electronic device shown is merely an example and should not limit the functions and scope of use of the embodiments of the present application.

[0198] The embodiment of the present application provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed on a computer, the computer can execute the corresponding content of the aforementioned method embodiment. Compared with the related art, the embodiment of the present application obtains the soil moisture content change curves corresponding to each of the multiple soil depth layers in real time; the multiple soil moisture content change curves can be analyzed to determine that the crop roots have reached several soil depth layers, and these are used as several root arrival layers; then, the soil moisture content change curve corresponding to each root arrival layer is analyzed to obtain the soil moisture content corresponding to each root arrival layer at the current moment in real time; and the water storage capacity is calculated based on the unit depth interval, the grid field area, and the soil moisture content corresponding to all the root arrival layers, to obtain the current underground effective water storage capacity of the target grid field. The water volume determination method is more efficient and accurate than manual judgment.

[0199] It should be understood that although the steps in the flowcharts of the accompanying drawings are shown in sequence as indicated by the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some of the steps in the flowcharts of the accompanying drawings may include multiple sub-steps or multiple stages, and these sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be executed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.

[0200] The above are only some of the implementation methods of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A method for calculating effective soil water storage capacity, characterized in that: include: Get the grid field area of ​​the target grid field; Acquire in real time the soil moisture content change curves corresponding to the multiple soil depth layers of the target grid field, wherein each soil moisture content change curve represents a change curve of the soil moisture content of each soil depth layer over time, and the distance between two adjacent soil depth layers is a unit depth interval; According to multiple soil moisture content change curves, several root reach layers are obtained, wherein the root reach layer represents the soil depth layer that the crop roots in the grid field can reach; According to the soil moisture change curve corresponding to each root reaching layer, the soil moisture content corresponding to each root reaching layer at the current moment is obtained in real time; Obtaining the current underground effective water storage capacity of the target grid field according to the unit depth interval, the grid field area of ​​the target grid field, and the soil moisture content corresponding to all root reach layers; The specific steps of obtaining a plurality of root reach layers according to a plurality of soil moisture content change curves include: Multiple soil moisture change curves are input into a change trend judgment model. In the change trend judgment model, it is determined whether there are any multiple soil moisture change curves whose derivative values ​​change positively or negatively at the same time. The change trend judgment model is used to determine whether there are any multiple soil moisture change curves whose derivative values ​​change positively or negatively at the same time. If so, it means that at a certain moment, the change trends of multiple soil moisture change curves whose derivative values ​​change positively or negatively have the same trend, that is, the soil depth layer corresponding to the soil moisture change curves whose derivative values ​​change positively or negatively exists in the crop root. The soil depth layer corresponding to each soil moisture change curve whose derivative value changes positively or negatively is determined as each root arrival layer to obtain multiple root arrival layers. If not, it indicates that the crop root has only reached the first soil depth layer. The first soil depth layer is determined as the only root arrival layer to obtain the only root arrival layer.

2. The method for calculating effective soil water storage capacity according to claim 1, wherein: After obtaining the current underground effective water storage capacity of the target grid field, the method further includes: Obtaining the soil type of the target grid field and the current growth stage of the crop in the target grid field, wherein the current growth stage represents the growth stage of the crop in the crop growth cycle; Using a preset correspondence between growth stages and ground water storage status, determining whether there is ground water storage in the current growth stage of the crop in the target grid field; If it exists, then according to the preset correspondence between the growth stage and the ground water layer depth and the current growth stage, the ground water layer depth corresponding to the current growth stage is obtained; Obtaining the current effective above-ground water storage capacity of the target grid field according to the depth of the above-ground water layer and the grid field area of ​​the target grid field; The current underground effective water storage capacity and the current above-ground effective water storage capacity of the target grid field are used as the current effective water storage capacity of the target grid field.

3. The method for calculating effective soil water storage capacity according to claim 2, wherein: After taking the current underground effective water storage capacity and the current above-ground effective water storage capacity of the target grid field as the current effective water storage capacity of the target grid field, the method further includes: Obtain the average daily water consumption and unit area water content boundary value of the target grid field, wherein the unit area water content boundary value at least includes the unit area water content upper limit; Obtain weather forecasts in real time, and obtain the number of days until precipitation and the expected precipitation based on the weather forecast. The expected precipitation is the precipitation per unit area within the number of days until precipitation. The current expected irrigation and drainage volume is obtained based on the grid field area, the upper limit of water content per unit area, the current effective water storage capacity, the number of days until precipitation, the expected precipitation and the average daily water consumption, wherein the current expected irrigation and drainage volume is used to limit the amount of water irrigating or draining the farmland at the current moment.

4. The method for calculating effective soil water storage capacity according to claim 3, characterized in that: After obtaining the current estimated irrigation volume, it also includes: Obtain the grid field entrance design flow of the target grid field, where the grid field entrance design flow represents the design flow of the equipment used for irrigation at the entrance and exit of the target grid field; According to the designed flow rate of the grid field and the current expected irrigation and drainage volume, the current expected irrigation and drainage time of the target grid field is obtained, wherein the current expected irrigation and drainage time is at least used to limit the length of time for irrigating the farmland at the current moment.

5. The method for calculating effective soil water storage capacity according to claim 3, characterized in that: After obtaining the current estimated irrigation and drainage volume, the method further includes: determining whether an irrigation instruction is received, wherein the irrigation instruction is used to irrigate the farmland at the current moment; If not, the expected next irrigation time of the target grid field is obtained according to the grid field area, the expected precipitation, the lower limit of water content per unit area, the average daily water consumption and the current effective water storage capacity.

6. The method for calculating effective soil water storage capacity according to claim 4, characterized in that: The step of obtaining the target grid field area includes: When the cockpit deployment information is detected to be triggered, the grid area of ​​the target grid is obtained; Accordingly, after obtaining the current estimated irrigation and drainage time of the target grid field, the method further includes: The data cockpit displays the current effective water storage capacity, the current estimated irrigation and drainage volume, and the current estimated irrigation and drainage time of the target grid field.

7. The method for calculating effective soil water storage capacity according to claim 4, characterized in that: After obtaining the current estimated irrigation and drainage time, it also includes: Acquiring irrigation start information in real time, wherein the irrigation start information represents information generated before irrigation of the target grid field begins; When the irrigation start information is monitored, the target grid field is irrigated using the current estimated irrigation and drainage volume and the current estimated irrigation and drainage time of the target grid field.

8. A device for calculating effective soil water storage capacity, characterized in that: The method for calculating the effective soil water storage capacity according to any one of claims 1 to 7 comprises: The grid field area acquisition module is used to obtain the grid field area of ​​the target grid field; A soil moisture content change curve acquisition module is used to obtain in real time the soil moisture content change curves corresponding to each of the multiple soil depth layers of the target grid field, wherein each soil moisture content change curve represents a change curve of the soil moisture content of each soil depth layer over time, and the distance between two adjacent soil depth layers is a unit depth interval; A root reach layer determination module is used to obtain a number of root reach layers based on multiple soil moisture content change curves, wherein the root reach layer represents the soil depth layer that the crop roots in the grid field can reach; The soil moisture content determination module is used to obtain the soil moisture content corresponding to each root arrival layer at the current moment in real time based on the soil moisture content change curve corresponding to each root arrival layer; The current underground effective water storage capacity determination module is used to obtain the current underground effective water storage capacity of the target grid field based on the unit depth interval, the grid field area of ​​the target grid field and the soil moisture content corresponding to all root reaching layers.

9. An electronic device, characterized in that: include: at least one processor; Memory; At least one application, wherein the at least one application is stored in a memory and configured to be executed by at least one processor, and the at least one application is configured to: execute the method for calculating the effective soil water storage capacity according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that A computer program is stored thereon, and when the computer program is executed in a computer, the computer is caused to execute the method for calculating the effective soil water storage capacity according to any one of claims 1 to 7.

Images