Intelligent garden water-saving irrigation control system and method based on meteorological data analysis

Abstract

The invention discloses an intelligent garden water-saving irrigation control system and method based on meteorological data analysis, and belongs to the technical field of irrigation control. The method is used for solving the technical problem that in an existing scheme, the reliability of garden water-saving irrigation control implementation and the autonomous supervision analysis effect are poor. All plant types in a target area and occupied areas corresponding to different plant types are obtained, first modularization processing is carried out according to the same plant type, and second modularization processing is carried out according to position gradient types corresponding to different divided areas after modularization processing; performing targeted resource state supervision analysis on different divided areas after raining is stopped, obtaining resource area marks and irrigation prediction time periods of different first sub-areas and second sub-areas, and performing multi-dimensional anomaly verification on irrigation instructions corresponding to different future time periods of the different first sub-areas and the second sub-areas. And dynamically controlling irrigation of different first sub-regions and second sub-regions.

Description

Technical Field

[0001] The present invention relates to the technical field of irrigation control, and in particular to a smart garden water-saving irrigation control system and method based on meteorological data analysis. Background Art

[0002] Garden water-saving irrigation control is a system of technologies and methods designed to improve irrigation efficiency and reduce water waste. Its core purpose is to maximize water conservation while ensuring healthy plant growth. This control system can achieve intelligent management of garden irrigation through a variety of technical means, thereby accurately adjusting the irrigation amount and irrigation time according to the actual water demand of plants, weather conditions, soil moisture and other factors.

[0003] The existing garden water-saving irrigation control scheme has certain defects in implementation. Since the accuracy of meteorological sensors (such as temperature, humidity, and light intensity) and soil moisture sensors is easily affected by the environment, extreme weather may cause data drift or failure. For example, a sudden increase in soil moisture after a rainstorm may trigger a misjudgment, causing the system to stop irrigation and ignore the subsequent drought risk. There is a failure to process and analyze the necessity and reliability of garden water-saving irrigation based on meteorological data analysis, and to dynamically control irrigation based on the analysis results, resulting in poor reliability and autonomous supervision analysis of garden water-saving irrigation control implementation. Summary of the invention

[0004] The purpose of the present invention is to provide an intelligent garden water-saving irrigation control system and method based on meteorological data analysis, which is used to solve the technical problems of reliability of garden water-saving irrigation control implementation and poor autonomous supervision and analysis effect in existing solutions.

[0005] The purpose of the present invention can be achieved through the following technical solutions: A smart garden water-saving irrigation control system based on meteorological data analysis includes a water-saving irrigation preprocessing module, which is used to obtain all plant types in a target area and the occupied areas corresponding to different plant types, perform a first modular processing according to the same plant type, and perform a second modular processing according to the position slope types corresponding to the different divided areas after the modular processing, to obtain irrigation object processing data; The water-saving irrigation supervision and processing module is used to implement targeted resource status supervision and analysis on different divided areas after the rain stops, and obtain the resource area labels and irrigation forecast time periods of different first sub-areas and second sub-areas based on the analysis results, perform multi-dimensional abnormality verification on the irrigation instructions corresponding to different first sub-areas and second sub-areas in different future time periods, and dynamically control the irrigation of different first sub-areas and second sub-areas based on the abnormality verification results.

[0006] Preferably, the corresponding areas are divided according to the same plant type, and the divided areas corresponding to different plant types are numbered and sorted according to the planting area to obtain the first module processing data; Furthermore, the plant horizontal slopes corresponding to plants at different positions in different divided areas are obtained, and the obtained plant horizontal slopes are traversed and matched with a preset horizontal slope range table to obtain a corresponding horizontal slope range.

[0007] Preferably, the slope area corresponding to the plants with the same horizontal slope range and adjacent positions is obtained, and when the modular influence corresponding to the same horizontal slope range is analyzed according to the slope area, the formula is used. Calculate the division impact value YH corresponding to the plants with the same horizontal slope range in the slope area; where S is the slope area corresponding to the plants with the same horizontal slope range and adjacent positions; S´ is the slope area restriction area; If the division influence value is greater than or equal to 0, the area corresponding to the plants with the same horizontal slope range is marked as the first sub-area; Otherwise, the area corresponding to the plants belonging to the same horizontal slope range is marked as the second sub-area.

[0008] Preferably, all regions bordering the second sub-region are obtained, and the difference between the horizontal slope range of the second sub-region and the horizontal slope range of different regions bordering it is calculated in sequence, and the second sub-region is merged into the corresponding bordering region with the smallest difference, so as to update the range of the divided region corresponding to the first sub-region or the second sub-region marked as bordering; All the first sub-areas and second sub-areas whose marks are updated are numbered and filled into the corresponding divided areas in the first module processing data to update the data, so as to obtain the irrigation object processing data.

[0009] Preferably, the soil moisture corresponding to different first sub-areas and second sub-areas in different divided areas is obtained after the rain stops, and the corresponding predicted temperatures in K future time periods are obtained, where K is a positive integer. The soil moisture state value corresponding to the first sub-area or the second sub-area in the divided area is obtained by calculation based on the corresponding predicted temperatures in the K future time periods.

[0010] Preferably, if the soil moisture state value is less than or equal to 1, a normal resource state instruction is generated, and the first sub-region or the second sub-region to which the soil moisture state value belongs is marked as a first resource region, and a first irrigation prediction time period of the first resource region after K future time periods is obtained; Otherwise, a resource status abnormal instruction is generated, and the first sub-region or the second sub-region to which the soil moisture status value belongs is marked as the second resource region. At the same time, the K´ future time periods corresponding to the soil moisture status value of the second resource region is obtained when it is less than or equal to 1, and the second irrigation prediction time period of the second resource region after the K´ future time periods is obtained.

[0011] Preferably, a first abnormality check is performed on all irrigation instructions that appear in the first resource area within K future time periods, and a first abnormality check is performed on all irrigation instructions that appear in the second resource area within K′ future time periods; According to the first abnormality verification result, different first resource areas and second resource areas are controlled to optimize the management of irrigation supervision plans, or targeted water-saving irrigation is implemented in corresponding resource areas.

[0012] Preferably, a second abnormality check is performed on all irrigation instructions that did not appear in the first irrigation prediction time period in the first resource area, and a second abnormality check is performed on all irrigation instructions that did not appear in the second irrigation prediction time period in the second resource area; According to the second abnormality verification result, different first resource areas and second resource areas are controlled to optimize the management of irrigation supervision plans, or targeted water-saving irrigation is implemented in corresponding resource areas.

[0013] Preferably, the calculation formula for the soil moisture state value is: ; In the formula, ST3 is the soil moisture corresponding to the first sub-area or the second sub-area in the divided area; ST1 is the total value of soil moisture increase in the first sub-area or the second sub-area in the divided area within K future time periods; ST2 is the total value of soil moisture decrease in the first sub-area or the second sub-area in the divided area within K future time periods; STB is the soil moisture limit value corresponding to the first sub-area or the second sub-area in the divided area.

[0014] A smart garden water-saving irrigation control method based on meteorological data analysis, comprising: Acquire all plant types in the target area and the occupied areas corresponding to different plant types, perform a first modularization process according to the same plant types, and perform a second modularization process according to the position slope types corresponding to the different divided areas after the modularization process, to obtain irrigation object processing data; Targeted resource status supervision and analysis is implemented on different divided areas after the rain stops, and the resource area labels and irrigation forecast time periods of different first sub-areas and second sub-areas are obtained based on the analysis results. The irrigation instructions corresponding to different first sub-areas and second sub-areas in different future time periods are verified in a multi-dimensional manner, and the irrigation of different first sub-areas and second sub-areas is dynamically controlled based on the abnormality verification results.

[0015] Compared with the existing solutions, the present invention achieves the following beneficial effects: The present invention obtains all plant types in the target area and the occupied areas corresponding to different plant types, performs a first modular processing according to the same plant types, and performs a second modular processing according to the position slope types corresponding to the different divided areas after the modular processing, thereby realizing targeted water-saving irrigation pretreatment for plants of different plant types and different location areas in the garden, which can effectively improve the pertinence and diversity of water-saving irrigation implementation in different locations of the garden.

[0016] The present invention implements targeted resource status supervision and analysis on different divided areas after the rain stops, obtains resource area labels and irrigation prediction time periods of different first sub-areas and second sub-areas according to the analysis results, performs multi-dimensional abnormality verification on irrigation instructions corresponding to different first sub-areas and second sub-areas in different future time periods, and dynamically controls the irrigation of different first sub-areas and second sub-areas according to the abnormality verification results, thereby realizing targeted supervision and multi-dimensional analysis of different plant types and different location areas in the garden, implementing targeted water-saving irrigation, and improving the reliability of the implementation of garden water-saving irrigation control and the autonomous supervision and analysis effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The present invention will be further described below in conjunction with the accompanying drawings.

[0018] Figure 1 This is a module block diagram of a smart garden water-saving irrigation control system based on meteorological data analysis of the present invention.

[0019] Figure 2 The present invention is a flowchart of a smart garden water-saving irrigation control method based on meteorological data analysis. DETAILED DESCRIPTION

[0020] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] Example 1: Figure 1 As shown, the present invention is a smart garden water-saving irrigation control system based on meteorological data analysis, including a water-saving irrigation preprocessing module and a water-saving irrigation supervision processing module; The water-saving irrigation preprocessing module is used to obtain all plant types in the target area and the occupied areas corresponding to different plant types, perform a first modular processing according to the same plant type, and perform a second modular processing according to the position slope types corresponding to the different divided areas after the modular processing to obtain irrigation object processing data; including: The target area is specifically a garden, in which several different types of plants are planted, such as shrubs, flowers, ground cover, and ornamental grasses; the corresponding areas are divided according to the same plant type, and the divided areas corresponding to different plant types are numbered and sorted according to the planting area to obtain the first module processing data; In the embodiment of the present invention, modular processing of the occupied area is performed according to the plant type, which can provide reliable data support for subsequent targeted water-saving irrigation at different locations of the garden; Also, obtain the plant horizontal slope corresponding to plants at different locations in different divided areas. The plant horizontal slope can be generated by using GIS software and importing digital elevation model (DEM) data to generate a slope map of the garden terrain. In the case of detailed garden terrain and vegetation coverage data, overlay analysis can be performed in GIS to determine the specific slopes of different plant types in a specific area, and the obtained plant horizontal slope is traversed and matched with the preset horizontal slope range table to obtain the corresponding horizontal slope range; Among them, the horizontal slope range table pre-sets several horizontal slope ranges, and the specific values ​​of the several horizontal slope ranges can be equally divided according to the horizontal slopes of all plants corresponding to all plant types in the garden, or divided according to the standard data of industry division, so as to realize secondary modular processing of plants of the same plant type and different horizontal slopes; In addition, since different horizontal slopes correspond to different geographical locations with different water storage capacities, and thus the subsequent irrigation needs of different geographical locations are also different, the embodiment of the present invention further performs supervision and modular processing of horizontal slope data on the basis of the early division of different plant types, which can effectively improve the pertinence and effectiveness of subsequent water-saving irrigation implementation in different locations of the garden; Obtain the slope area corresponding to the plants with the same horizontal slope range and adjacent positions. When analyzing the modular impact corresponding to the same horizontal slope range based on the slope area, the formula Calculate the division impact value YH corresponding to the plants with the same horizontal slope range in the slope area; where S is the slope area corresponding to the plants with the same horizontal slope range and adjacent positions; S' is the slope area limit area, which is determined according to the median value of the area of ​​different slopes in the garden, and can also be customized according to the actual application needs of the actual application scenario; If the division influence value is greater than or equal to 0, the area corresponding to the plants with the same horizontal slope range is marked as the first sub-area; Otherwise, the area corresponding to the plants belonging to the same horizontal slope range is marked as the second sub-area; It can be understood that the first sub-area indicates that the plants within the corresponding area meet the irrigation coverage requirements of the irrigation equipment, which can effectively improve the subsequent differentiated water-saving irrigation implementation effects of different first sub-areas, because the irrigation requirements of different plant types in different first sub-areas are different; the second sub-area indicates that the plants within the corresponding range do not meet the irrigation coverage requirements of the irrigation equipment and need further targeted treatment and management, which can effectively improve the implementation effect of the existing garden modular water-saving irrigation; Acquire all areas bordering the second sub-area, and calculate the difference between the horizontal slope range of the second sub-area and the horizontal slope ranges of different areas bordering it in turn, and merge the second sub-area into the bordering area with the smallest difference, so as to update the area range corresponding to the first sub-area or the second sub-area marked as bordering; All the first sub-areas and second sub-areas marked for update are numbered and filled into the corresponding divided areas in the first module processing data to update the data, thereby obtaining the irrigation object processing data; In an embodiment of the present invention, by acquiring all plant types in the target area and the occupied areas corresponding to different plant types, a first modular processing is performed according to the same plant type, and a second modular processing is performed according to the position slope type corresponding to the different divided areas after the modular processing, thereby achieving targeted water-saving irrigation pretreatment for plants of different plant types and different location areas in the garden, which can effectively improve the targetedness and diversity of water-saving irrigation implementation in different locations of the garden.

[0022] The water-saving irrigation supervision and processing module is used to implement targeted resource status supervision and analysis on different divided areas after the rain stops, and obtain resource area marks and irrigation forecast time periods of different first sub-areas and second sub-areas according to the analysis results, perform multi-dimensional abnormality verification on the irrigation instructions corresponding to different first sub-areas and second sub-areas in different future time periods, and dynamically control the irrigation of different first sub-areas and second sub-areas according to the abnormality verification results; including: The soil moisture corresponding to the first and second sub-areas in different divided areas after the rain stops can be obtained based on the existing rainfall sensor and the capacitive soil moisture sensor, and the corresponding predicted temperature in K future time periods can be obtained based on the existing weather forecast data. K is a positive integer, and the specific value is not limited. It can be customized according to the application requirements of the actual application scenario. The unit of the time period is hour, which can be 1 hour. According to the corresponding predicted temperature in K future time periods, the formula Calculate and obtain the soil moisture state value corresponding to the first sub-area or the second sub-area in the divided area; wherein, ST3 is the soil moisture corresponding to the first sub-area or the second sub-area in the divided area; ST1 is the total value of soil moisture increase in the first sub-area or the second sub-area in the divided area within K future time periods; ST2 is the total value of soil moisture decrease in the first sub-area or the second sub-area in the divided area within K future time periods; STB is the soil moisture limit value corresponding to the first sub-area or the second sub-area in the divided area, which can be determined according to the existing water-saving irrigation design data corresponding to the specific plant type; in, , where i is the different first time periods in the future corresponding to the increase in soil moisture, i=1, 2, 3, ..., n; n is a positive integer, representing the total number of all first time periods in the future when soil moisture increases; DZi is the different soil moisture increase values ​​corresponding to different first time periods in the future, and the different soil moisture increase values ​​corresponding to different first time periods in the future can be calculated based on the predicted temperature corresponding to different first time periods in the future combined with the corresponding temperature-affected humidity, and the temperature-affected humidity corresponding to the predicted temperature can be determined based on the previous test data of the specific plant type; , where j is the different future second time periods corresponding to the reduction in soil moisture, j=1, 2, 3, ..., m; m is a positive integer, representing the total number of all future second time periods in which soil moisture is reduced; DJj is the different soil moisture reduction values ​​corresponding to different future second time periods, and the different soil moisture reduction values ​​corresponding to different future second time periods can be obtained based on the predicted temperature corresponding to different future second time periods combined with the corresponding temperature affecting humidity and the data on the normal water consumption of plants; In the embodiment of the present invention, data processing and calculation are performed on the soil moisture state corresponding to the first sub-region or the second sub-region in the divided area according to the predicted temperatures corresponding to the K future time periods, which can provide reliable data support for the subsequent resource area marking corresponding to the first sub-region or the second sub-region and the processing and analysis of the irrigation prediction time period; If the soil moisture state value is less than or equal to 1, a normal resource state instruction is generated, and the first sub-region or the second sub-region to which the soil moisture state value belongs is marked as a first resource region, and at the same time, a first irrigation prediction time period of the first resource region after K future time periods is obtained; the first irrigation prediction time period is determined based on a specific future time period corresponding to when the soil moisture state value less than or equal to 1 becomes greater than 1; Otherwise, a resource status abnormal instruction is generated, and the first sub-region or the second sub-region to which the soil moisture status value belongs is marked as the second resource region, and K' future time periods corresponding to when the soil moisture status value of the second resource region is less than or equal to 1 are obtained, and the second irrigation prediction time period of the second resource region after K' future time periods is obtained; K' is a positive integer and less than K; the second irrigation prediction time period is also determined based on the specific future time period corresponding to when the soil moisture status value less than or equal to 1 becomes greater than 1; Different from the existing technical solutions, most of which still control water-saving irrigation by setting thresholds, it is impossible to process and analyze the necessity and reliability of garden water-saving irrigation based on meteorological data analysis, and dynamically control irrigation according to the analysis results; in the embodiment of the present invention, by performing data analysis on the soil moisture state value obtained by processing and calculation, the resource area marks corresponding to different first sub-areas and second sub-areas in the divided area and the irrigation prediction time period are obtained, which can provide diversified data support for the differentiated implementation of water-saving irrigation in different sub-areas in different future time periods; Embodiment 2: A first abnormality check is performed on all irrigation instructions that appear in the first resource area within K future time periods, where the irrigation instructions are generated based on an existing irrigation supervision scheme by analyzing a preset irrigation threshold, and a first abnormality check is performed on all irrigation instructions that appear in the second resource area within K′ future time periods; the first abnormality check specifically refers to the irrigation reliability check required for an irrigation instruction that appears in a time period when irrigation is not required; According to the first abnormality verification result, different first resource areas and second resource areas are controlled to optimize the management of irrigation supervision plans, or targeted water-saving irrigation is implemented in corresponding resource areas; Embodiment 3: A second abnormality check is performed on all irrigation instructions that do not appear in the first irrigation prediction time period in all first resource areas, and a second abnormality check is performed on all irrigation instructions that do not appear in the second irrigation prediction time period in all second resource areas; the second abnormality check is specifically that if no irrigation instruction appears in the time period where irrigation is required, it is necessary to verify the necessity of irrigation; According to the second abnormality verification result, different first resource areas and second resource areas are controlled to optimize the management of irrigation supervision plans, or targeted water-saving irrigation is implemented in corresponding resource areas; The first abnormality check and the second abnormality check may be to perform a quality inspection on the sensor that detects and generates the irrigation instruction to generate the instruction or the instruction is not generated. The quality inspection may be implemented by existing technical solutions, and the specific implementation steps are not described in detail here. In an embodiment of the present invention, targeted resource status supervision and analysis is implemented on different divided areas after the rain stops, and resource area labels and irrigation prediction time periods of different first sub-areas and second sub-areas are obtained according to the analysis results, and multi-dimensional abnormality verification is performed on the irrigation instructions corresponding to different first sub-areas and second sub-areas in different future time periods. According to the abnormality verification results, the irrigation of different first sub-areas and second sub-areas is dynamically controlled, thereby achieving targeted supervision and multi-dimensional analysis of different plant types and different location areas in the garden, and implementing targeted water-saving irrigation, thereby improving the reliability of the implementation of garden water-saving irrigation control and the autonomous supervision and analysis effect.

[0023] Example 4: Figure 2 As shown, the present invention is a smart garden water-saving irrigation control method based on meteorological data analysis, comprising: Acquire all plant types in the target area and the occupied areas corresponding to different plant types, perform a first modularization process according to the same plant types, and perform a second modularization process according to the position slope types corresponding to the different divided areas after the modularization process, to obtain irrigation object processing data; Targeted resource status supervision and analysis is implemented on different divided areas after the rain stops, and the resource area labels and irrigation forecast time periods of different first sub-areas and second sub-areas are obtained based on the analysis results. The irrigation instructions corresponding to different first sub-areas and second sub-areas in different future time periods are verified in a multi-dimensional manner, and the irrigation of different first sub-areas and second sub-areas is dynamically controlled based on the abnormality verification results.

[0024] In the several embodiments provided by the present invention, it should be understood that the disclosed system and method can be implemented in other ways. For example, the above-described embodiments of the invention are only illustrative, for example, the division of modules is only a logical function division, and there may be other division methods in actual implementation.

[0025] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, and may be located in one place or distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0026] In addition, each functional module in each embodiment of the present invention may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0027] It is obvious to a person skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the essential characteristics of the present invention.

[0028] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. A smart garden water-saving irrigation control system based on meteorological data analysis, characterized in that: It includes a water-saving irrigation preprocessing module, which is used to obtain all plant types in the target area and the occupied areas corresponding to different plant types, perform a first modular processing according to the same plant types, and perform a second modular processing according to the position slope types corresponding to the different divided areas after the modular processing, to obtain irrigation object processing data; The water-saving irrigation supervision and processing module is used to implement targeted resource status supervision and analysis on different divided areas after the rain stops, and obtain the resource area labels and irrigation forecast time periods of different first sub-areas and second sub-areas based on the analysis results, perform multi-dimensional abnormality verification on the irrigation instructions corresponding to different first sub-areas and second sub-areas in different future time periods, and dynamically control the irrigation of different first sub-areas and second sub-areas based on the abnormality verification results.

2. According to claim 1, a smart garden water-saving irrigation control system based on meteorological data analysis is characterized in that: Divide the corresponding areas according to the same plant type, and number and sort the divided areas corresponding to different plant types according to the planting area to obtain the first module processing data; Furthermore, the plant horizontal slopes corresponding to plants at different positions in different divided areas are obtained, and the obtained plant horizontal slopes are traversed and matched with a preset horizontal slope range table to obtain a corresponding horizontal slope range.

3. The intelligent garden water-saving irrigation control system based on meteorological data analysis according to claim 2 is characterized in that: Obtain the slope area corresponding to the plants with the same horizontal slope range and adjacent positions. When analyzing the modular impact corresponding to the same horizontal slope range based on the slope area, the formula Calculate the division impact value YH corresponding to the plants with the same horizontal slope range in the slope area; where S is the slope area corresponding to the plants with the same horizontal slope range and adjacent positions; S´ is the slope area restriction area; If the division influence value is greater than or equal to 0, the area corresponding to the plants with the same horizontal slope range is marked as the first sub-area; Otherwise, the area corresponding to the plants belonging to the same horizontal slope range is marked as the second sub-area.

4. The intelligent garden water-saving irrigation control system based on meteorological data analysis according to claim 3 is characterized in that: Acquire all areas bordering the second sub-area, and calculate the difference between the horizontal slope range of the second sub-area and the horizontal slope ranges of different areas bordering it in turn, and merge the second sub-area into the bordering area with the smallest difference, so as to update the area range corresponding to the first sub-area or the second sub-area marked as bordering; All the first sub-areas and second sub-areas whose marks are updated are numbered and filled into the corresponding divided areas in the first module processing data to update the data, so as to obtain the irrigation object processing data.

5. The intelligent garden water-saving irrigation control system based on meteorological data analysis according to claim 4 is characterized in that: The soil moisture corresponding to different first sub-areas and second sub-areas in different divided areas after the rain stops is obtained, and the corresponding predicted temperatures in K future time periods are obtained, where K is a positive integer. The soil moisture state value corresponding to the first sub-area or the second sub-area in the divided area is obtained by calculation according to the corresponding predicted temperatures in K future time periods.

6. The intelligent garden water-saving irrigation control system based on meteorological data analysis according to claim 5 is characterized in that: If the soil moisture state value is less than or equal to 1, a normal resource state instruction is generated, and the first sub-region or the second sub-region to which the soil moisture state value belongs is marked as the first resource region, and the first irrigation prediction time period after K future time periods of the first resource region is obtained; Otherwise, a resource status abnormal instruction is generated, and the first sub-region or the second sub-region to which the soil moisture status value belongs is marked as the second resource region. At the same time, the K´ future time periods corresponding to the soil moisture status value of the second resource region is obtained when it is less than or equal to 1, and the second irrigation prediction time period of the second resource region after the K´ future time periods is obtained.

7. The intelligent garden water-saving irrigation control system based on meteorological data analysis according to claim 6 is characterized in that: Performing a first abnormality check on all irrigation instructions that appear in the first resource area within K future time periods, and performing a first abnormality check on all irrigation instructions that appear in the second resource area within K′ future time periods; According to the first abnormality verification result, different first resource areas and second resource areas are controlled to optimize the management of irrigation supervision plans, or targeted water-saving irrigation is implemented in corresponding resource areas.

8. The intelligent garden water-saving irrigation control system based on meteorological data analysis according to claim 6 is characterized in that: Performing a second abnormality check on all irrigation instructions that did not appear in the first irrigation prediction time period in the first resource area, and performing a second abnormality check on all irrigation instructions that did not appear in the second irrigation prediction time period in the second resource area; According to the second abnormality verification result, different first resource areas and second resource areas are controlled to optimize the management of irrigation supervision plans, or targeted water-saving irrigation is implemented in corresponding resource areas.

9. The intelligent garden water-saving irrigation control system based on meteorological data analysis according to claim 5 is characterized in that: The calculation formula of soil moisture state value is: ; In the formula, ST3 is the soil moisture corresponding to the first sub-area or the second sub-area in the divided area; ST1 is the total value of soil moisture increase in the first sub-area or the second sub-area in the divided area within K future time periods; ST2 is the total value of soil moisture decrease in the first sub-area or the second sub-area in the divided area within K future time periods; STB is the soil moisture limit value corresponding to the first sub-area or the second sub-area in the divided area.

10. A smart garden water-saving irrigation control method based on meteorological data analysis, using a smart garden water-saving irrigation control system based on meteorological data analysis as claimed in any one of claims 1 to 9, characterized in that: include: Acquire all plant types in the target area and the occupied areas corresponding to different plant types, perform a first modularization process according to the same plant types, and perform a second modularization process according to the position slope types corresponding to the different divided areas after the modularization process to obtain irrigation object processing data; Targeted resource status supervision and analysis is implemented on different divided areas after the rain stops, and the resource area labels and irrigation forecast time periods of different first sub-areas and second sub-areas are obtained based on the analysis results. The irrigation instructions corresponding to different first sub-areas and second sub-areas in different future time periods are verified in a multi-dimensional manner, and the irrigation of different first sub-areas and second sub-areas is dynamically controlled based on the abnormality verification results.

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