Landscaping irrigation decision-making method and system based on multi-source information fusion

Abstract

The invention relates to the technical field of garden irrigation, in particular to a landscaping irrigation decision-making method and system based on multi-source information fusion, and the method comprises the steps: importing the plant terrain distribution information and the parameter setting information of an irrigation device into a landscaping water distribution difference analysis model, and analyzing the landscaping water distribution difference in a landscaping region; the irrigation device distribution information and the parameter setting information of the irrigation devices are imported into an irrigation area distribution difference analysis model, and the irrigation area distribution difference in the landscaping area is analyzed; according to a greening water quantity distribution difference analysis result and an irrigation area distribution difference analysis result, evaluating a plant irrigation condition difference risk in the landscaping area; and optimizing parameter setting of the irrigation device according to a plant irrigation condition difference risk assessment result. Water resource waste and management cost can be reduced, and the greening effect of the garden is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of garden irrigation, and in particular to a garden irrigation decision-making method and system based on multi-source information fusion. Background Art

[0002] With the rapid advancement of urbanization, the area of ​​urban gardens and greening is also increasing. Urban gardens and greening can beautify people's living environment, improve the quality of life of urban residents, reduce air pollution, and alleviate the urban heat island effect; but when maintaining and watering gardens and greening, we are faced with the problem of water shortage and how to efficiently utilize water resources; on the one hand, with the increase in population, the demand for water resources has also increased sharply, but the natural supply of water resources is relatively limited; on the other hand, the irrigation of gardens and greening also requires a lot of water resources. Therefore, if unreasonable irrigation methods are used, it will not only cause waste of water resources, but also have an adverse effect on plant growth and soil environment, while reducing the ecological benefits and landscape effects of gardens and greening.

[0003] The prior art often adopts a time-sharing and pressure-sharing watering strategy when watering gardens and greening, which is mainly based on time control and pressure regulation to achieve watering of different areas or plants; through a preset schedule, the garden is watered at a specific time, or the water pressure is adjusted according to the plant type or soil conditions to meet the water needs of different plants or soils; the existing time-sharing and pressure-sharing watering strategy often needs to rely on a fixed schedule and preset parameters, and lacks the ability to respond to environmental changes in a timely manner; for example, when the weather changes suddenly or the soil moisture changes, the system cannot adjust the watering plan in time, resulting in insufficient or excessive watering, which not only affects the normal growth of plants, but also causes a waste of water resources; at the same time, the prior art ignores the changes in the terrain of different greening areas in the garden, which will cause the water irrigated to the high places to gather in the low-lying areas; As a result, there is too much water in the low-lying areas, but less water in the high places, which is not conducive to the growth of green plants in the high and low-lying areas.

[0004] In order to solve these problems, this application designs a landscaping irrigation decision-making method and system based on multi-source information fusion. Summary of the invention

[0005] The purpose of the present invention is to provide a method and system for making a decision on gardening irrigation based on multi-source information fusion. The method and system for making a decision on gardening irrigation based on multi-source information fusion provided by the embodiment of the present invention can comprehensively analyze the uniformity of water distribution and the influence of terrain in the gardening area, and comprehensively analyze the rationality of the distribution of irrigation devices and the matching degree between the set water volume and the water demand of plants, and then evaluate the risk of differences in plant irrigation conditions in the gardening area; thereby improving the overall greening effect of the garden and saving water resources and irrigation costs.

[0006] The present invention is achieved in that: In a first aspect, the present invention provides a landscaping irrigation decision-making method based on multi-source information fusion, comprising the following steps: S1. Obtain plant terrain distribution information and irrigation device distribution information in the garden greening area, and simultaneously obtain parameter setting information of the irrigation device; S2, importing the plant terrain distribution information and the parameter setting information of the irrigation device into the greening water distribution difference analysis model, and analyzing the greening water distribution difference in the garden greening area; S3, importing the irrigation device distribution information and the irrigation device parameter setting information into the irrigation area distribution difference analysis model, and analyzing the irrigation area distribution difference in the garden greening area; S4. Based on the analysis results of the difference in greening water volume distribution and the difference in irrigation area distribution, assess the risk of differences in plant irrigation conditions within the garden greening area; S5. Optimize the parameter settings of the irrigation device based on the risk assessment results of the differences in plant watering conditions.

[0007] Preferably, based on the above scheme, step S2 includes the following specific steps: S21, extracting plant terrain distribution information and parameter setting information of the irrigation device in the garden greening area; S22, importing the plant terrain distribution information of the garden greening area and the parameter setting information of the irrigation device into the greening water distribution difference coefficient calculation formula to calculate the greening water distribution difference coefficient in the garden greening area; the greening water distribution difference coefficient calculation formula is: ; In the formula, C represents the coefficient of greening water distribution difference in the garden greening area, Si represents the slope of the i-th equal-area greening area in the plant terrain distribution information, n represents the number of medium-area greening areas in the plant terrain distribution information, m represents the number of watering devices in the i-th equal-area greening area in the parameter setting information of the watering device, Aij represents the area of ​​the area that the j-th watering device is responsible for watering in the i-th equal-area greening area in the parameter setting information of the watering device, Qij represents the water volume set by the j-th watering device in the i-th equal-area greening area in the parameter setting information of the watering device, Wij represents the water volume measured by the water volume sensor in the area that the j-th watering device is responsible for watering in the i-th equal-area greening area in the plant terrain distribution information after watering, It represents the average water volume measured by the water volume sensor after the watering of all green areas of equal area in the plant terrain distribution information; i is any item from 1 to n, and j is any item from 1 to m.

[0008] Preferably, based on the above scheme, step S3 includes the following specific steps: S31, extracting the distribution information of the irrigation devices in the garden greening area and the parameter setting information of the irrigation devices; S32, importing the irrigation device distribution information and the parameter setting information of the irrigation device in the garden greening area into the irrigation area distribution difference coefficient calculation formula to calculate the irrigation area distribution difference coefficient in the garden greening area; the irrigation area distribution difference coefficient calculation formula is: ; Wherein, D represents the distribution difference coefficient of irrigation areas in the garden greening area, Pij represents the water demand of all types of plants in the i-th equal-area greening area that the j-th irrigation device is responsible for irrigation, dij represents the distance from the j-th irrigation device in the i-th equal-area greening area to the center of the area it is responsible for irrigation in the irrigation device distribution information, and di represents the average value of the distance from all irrigation devices in the i-th equal-area greening area in the irrigation device distribution information to the center of the corresponding irrigation area.

[0009] Preferably, based on the above solution, step S4 includes the following specific contents: S41, extracting the calculated greening water distribution difference coefficient within the garden greening area and the irrigation area distribution difference coefficient; S42, importing the greening water distribution difference coefficient and the irrigation area distribution difference coefficient into the plant irrigation condition difference risk coefficient calculation formula to calculate the plant irrigation condition difference risk coefficient in the garden greening area; the plant irrigation condition difference risk coefficient calculation formula is: ; Where R represents the risk coefficient of plant irrigation conditions in the garden greening area, a and b represent the impact weight of greening water distribution and irrigation area distribution, respectively.

[0010] Preferably, based on the above solution, step S5 includes the following specific contents: The calculated risk coefficient of plant watering condition difference in the garden greening area is obtained, and a plant watering condition difference risk threshold is preset. When the risk coefficient of plant watering condition difference in the garden greening area is greater than the plant watering condition difference risk threshold, an optimization warning of the watering device parameter setting is issued to the watering personnel.

[0011] In a second aspect, the present invention provides a landscaping irrigation decision system based on multi-source information fusion, comprising: A data acquisition module is used to obtain plant terrain distribution information and irrigation device distribution information in the garden greening area, and to obtain parameter setting information of the irrigation device; The greening water volume distribution difference analysis module is used to import the plant terrain distribution information and the parameter setting information of the irrigation device into the greening water volume distribution difference analysis model to analyze the greening water volume distribution difference in the garden greening area; The irrigation area distribution difference analysis module is used to import the irrigation device distribution information and the irrigation device parameter setting information into the irrigation area distribution difference analysis model to analyze the irrigation area distribution difference in the garden greening area; The plant irrigation condition difference risk assessment module is used to assess the risk of plant irrigation condition differences within the garden greening area based on the greening water distribution difference analysis results and the irrigation area distribution difference analysis results; The watering parameter optimization module is used to optimize the parameter settings of the watering device according to the risk assessment results of the differences in plant watering conditions; The control module is used to control the operation of the data acquisition module, the greening water distribution difference analysis module, the irrigation area distribution difference analysis module, the plant irrigation status difference risk assessment module and the irrigation parameter optimization module.

[0012] In a third aspect, the present invention provides an electronic device, comprising: a processor and a memory, wherein the memory stores a computer program that can be called by the processor; the processor executes a landscaping watering decision-making method based on multi-source information fusion by calling the computer program stored in the memory.

[0013] In a fourth aspect, the present invention provides a computer-readable storage medium storing instructions, which, when executed on a computer, enable the computer to execute a landscaping watering decision-making method based on multi-source information fusion.

[0014] Compared with the prior art, the present invention has the following advantages and beneficial effects: The present invention imports plant terrain distribution information and parameter setting information of irrigation devices into a greening water volume distribution difference analysis model to analyze the greening water volume distribution difference in a garden greening area; imports irrigation device distribution information and parameter setting information of irrigation devices into an irrigation area distribution difference analysis model to analyze the irrigation area distribution difference in a garden greening area; evaluates the risk of plant irrigation status difference in a garden greening area according to the greening water volume distribution difference analysis results and the irrigation area distribution difference analysis results; optimizes the parameter setting of the irrigation device according to the plant irrigation status difference risk assessment results. The present invention can reduce water resource waste and management costs and improve the greening effect of gardens. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Other features, objects and advantages of the present invention will become more apparent from the detailed description of non-limiting embodiments made with reference to the following drawings: Figure 1 It is a schematic diagram of the overall process of a landscaping watering decision-making method based on multi-source information fusion of the present invention; Figure 2 It is a structural schematic diagram of a landscape irrigation decision system based on multi-source information fusion according to the present invention; Figure 3 The present invention is a workflow diagram of an irrigation device in a landscaping irrigation decision-making method based on multi-source information fusion. DETAILED DESCRIPTION

[0016] The technical solution of the present invention is described in detail below through the accompanying drawings and specific embodiments. It should be understood that the embodiments of the present invention and the specific features in the embodiments are detailed descriptions of the technical solution of the present invention, rather than limitations on the technical solution of the present invention. The embodiments of the present invention and the technical features in the embodiments may be combined with each other unless there is a conflict. Example 1

[0017] like Figure 1 , Figure 3 As shown, this embodiment provides a landscaping irrigation decision-making method based on multi-source information fusion, which specifically includes the following steps: S1. Obtain plant terrain distribution information and irrigation device distribution information in the garden greening area, and simultaneously obtain parameter setting information of the irrigation device; S2, importing the plant terrain distribution information and the parameter setting information of the irrigation device into the greening water distribution difference analysis model, and analyzing the greening water distribution difference in the garden greening area; S3, importing the irrigation device distribution information and the irrigation device parameter setting information into the irrigation area distribution difference analysis model, and analyzing the irrigation area distribution difference in the garden greening area; S4. Based on the analysis results of the difference in greening water volume distribution and the difference in irrigation area distribution, assess the risk of differences in plant irrigation conditions within the garden greening area; S5. Optimize the parameter settings of the irrigation device based on the risk assessment results of the differences in plant watering conditions.

[0018] As a preferred technical solution of the present invention, step S2 can comprehensively evaluate the uniformity of water distribution in the garden greening area by analyzing the differences in greening water distribution in the garden greening area, thereby providing a scientific basis for optimizing the irrigation strategy. Incorporating the plant terrain distribution information and the parameter setting information of the irrigation device in the garden greening area into the greening water distribution difference analysis model for analysis can intuitively reflect the difference between the actual water distribution and the plant water demand, thereby identifying areas with too much or insufficient water. For example, in areas with large slopes, the greening water distribution difference analysis model can guide irrigation personnel to take targeted water conservation measures by analyzing the differences in water distribution at the top and bottom of the slope. In this embodiment, the greening water distribution difference analysis model can more accurately reflect the actual situation of water distribution, ensure that plants in each area can obtain sufficient water, and avoid plant withering due to insufficient water or waste of resources due to excessive water. In this embodiment, step S2 includes the following specific steps: S21, extracting plant terrain distribution information and parameter setting information of the irrigation device in the garden greening area; S22, importing the plant terrain distribution information of the garden greening area and the parameter setting information of the irrigation device into the greening water distribution difference coefficient calculation formula to calculate the greening water distribution difference coefficient in the garden greening area; the greening water distribution difference coefficient calculation formula is: ; In the formula, C represents the coefficient of greening water distribution difference in the garden greening area, Si represents the slope of the i-th equal-area greening area in the plant terrain distribution information, n represents the number of medium-area greening areas in the plant terrain distribution information, m represents the number of watering devices in the i-th equal-area greening area in the parameter setting information of the watering device, Aij represents the area of ​​the area that the j-th watering device is responsible for watering in the i-th equal-area greening area in the parameter setting information of the watering device, Qij represents the water volume set by the j-th watering device in the i-th equal-area greening area in the parameter setting information of the watering device, Wij represents the water volume measured by the water volume sensor in the area that the j-th watering device is responsible for watering in the i-th equal-area greening area in the plant terrain distribution information after watering, It represents the average water volume measured by the water volume sensor after the watering of all green areas of equal area in the plant terrain distribution information; i is any item from 1 to n, and j is any item from 1 to m.

[0019] As a preferred technical solution of the present invention, in step S3, by comprehensively analyzing the distribution information of the watering devices in the garden greening area and the parameter setting information of the watering devices, the rationality of the distribution of the watering devices and the matching degree of the set water volume with the water demand of the plants can be evaluated, thereby optimizing the layout and parameter settings of the watering devices. In this embodiment, the watering area distribution difference analysis model can reflect whether the set water volume of each watering device meets the water demand of the plants in its coverage area, thereby identifying watering devices with too high or too low water volume. For example, in an area with a variety of plant species, the set water volume of the watering device can be adjusted by analyzing the differences in water demand of different plants. At the same time, the watering area distribution difference analysis model also takes into account the coverage area and spatial distribution of the watering device, which can more comprehensively reflect the uniformity of the distribution of the watering device. In this embodiment, step S3 includes the following specific steps: S31, extracting the distribution information of the irrigation devices in the garden greening area and the parameter setting information of the irrigation devices; S32, importing the irrigation device distribution information and the parameter setting information of the irrigation device in the garden greening area into the irrigation area distribution difference coefficient calculation formula to calculate the irrigation area distribution difference coefficient in the garden greening area; the irrigation area distribution difference coefficient calculation formula is: ; Wherein, D represents the distribution difference coefficient of irrigation areas in the garden greening area, Pij represents the water demand of all types of plants in the i-th equal-area greening area that the j-th irrigation device is responsible for irrigation, dij represents the distance from the j-th irrigation device in the i-th equal-area greening area to the center of the area it is responsible for irrigation in the irrigation device distribution information, and di represents the average value of the distance from all irrigation devices in the i-th equal-area greening area in the irrigation device distribution information to the center of the corresponding irrigation area.

[0020] As a preferred technical solution of the present invention, step S4 includes the following specific contents: S41, extracting the calculated greening water distribution difference coefficient within the garden greening area and the irrigation area distribution difference coefficient; S42, importing the greening water distribution difference coefficient and the irrigation area distribution difference coefficient into the plant irrigation condition difference risk coefficient calculation formula to calculate the plant irrigation condition difference risk coefficient in the garden greening area; the plant irrigation condition difference risk coefficient calculation formula is: ; Where R represents the risk coefficient of plant irrigation conditions in the garden greening area, a and b represent the impact weight of greening water distribution and irrigation area distribution, respectively.

[0021] As a preferred technical solution of the present invention, step S5 includes the following specific contents: The calculated risk coefficient of plant watering condition difference in the garden greening area is obtained, and a plant watering condition difference risk threshold is preset. When the risk coefficient of plant watering condition difference in the garden greening area is greater than the plant watering condition difference risk threshold, an optimization warning of the watering device parameter setting is issued to the watering personnel. It should be noted that the value determination method of the greening water volume distribution influence weight, the irrigation area distribution influence weight and the plant watering condition difference risk threshold is as follows: the plant terrain distribution information and the irrigation device distribution information as well as the parameter setting information of the irrigation device in the garden greening area in multiple irrigation time periods in history are obtained, and the plant terrain distribution information and the irrigation device distribution information are used as the input data. The parameter setting information of the irrigation device is imported into the plant watering condition difference risk coefficient calculation formula for calculation, and the plant watering condition difference risk coefficient of the garden greening area in multiple historical watering time periods is obtained; the plant watering condition difference risk judgment results of the garden greening area in multiple historical watering time periods are obtained, and the plant watering condition difference risk coefficient and the plant watering condition difference risk judgment results of the garden greening area in multiple historical watering time periods are imported into the fitting software, and the corresponding greening water distribution influence weight, irrigation area distribution influence weight and plant watering condition difference risk threshold value that meet the highest accuracy of watering condition difference risk judgment are output. Example 2

[0022] like Figure 2 As shown, this embodiment provides a landscaping irrigation decision system based on multi-source information fusion, including: A data acquisition module is used to obtain plant terrain distribution information and irrigation device distribution information in the garden greening area, and to obtain parameter setting information of the irrigation device; The greening water volume distribution difference analysis module is used to import the plant terrain distribution information and the parameter setting information of the irrigation device into the greening water volume distribution difference analysis model to analyze the greening water volume distribution difference in the garden greening area; The irrigation area distribution difference analysis module is used to import the irrigation device distribution information and the irrigation device parameter setting information into the irrigation area distribution difference analysis model to analyze the irrigation area distribution difference in the garden greening area; The plant irrigation condition difference risk assessment module is used to assess the risk of plant irrigation condition differences within the garden greening area based on the greening water distribution difference analysis results and the irrigation area distribution difference analysis results; The watering parameter optimization module is used to optimize the parameter settings of the watering device according to the risk assessment results of the differences in plant watering conditions; The control module is used to control the operation of the data acquisition module, the greening water distribution difference analysis module, the irrigation area distribution difference analysis module, the plant irrigation status difference risk assessment module and the irrigation parameter optimization module.

[0023] The above-mentioned parameters and steps for each unit module to realize the corresponding functions in the garden greening watering decision system based on multi-source information fusion of the present invention can refer to the parameters and steps in the embodiment of the garden greening watering decision method based on multi-source information fusion above, and will not be repeated here. Example 3

[0024] An electronic device according to an embodiment of the present invention comprises: a processor and a memory, wherein the memory stores a computer program that can be called by the processor, and the processor executes a landscaping irrigation decision-making method based on multi-source information fusion by calling the computer program stored in the memory. It should be noted that all computer programs of a landscaping irrigation decision-making method based on multi-source information fusion are implemented in C language, wherein the data acquisition module, the greening water distribution difference analysis module, the irrigation area distribution difference analysis module, the plant irrigation status difference risk assessment module, the irrigation parameter optimization module and the control module are all controlled by a remote server. Example 4

[0025] This embodiment provides a computer-readable storage medium having a rewritable computer program stored thereon; When the computer program runs on a computer device, the computer device executes the above-mentioned landscaping watering decision-making method based on multi-source information fusion.

[0026] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0027] The preferred embodiments of the present invention disclosed above are only used to help illustrate the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to the specific implementation methods described. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A landscaping irrigation decision-making method based on multi-source information fusion, characterized in that: The steps include: S1. Obtain plant terrain distribution information and irrigation device distribution information in the garden greening area, and simultaneously obtain parameter setting information of the irrigation device; S2, importing the plant terrain distribution information and the parameter setting information of the irrigation device into the greening water distribution difference analysis model, and analyzing the greening water distribution difference in the garden greening area; S3, importing the irrigation device distribution information and the irrigation device parameter setting information into the irrigation area distribution difference analysis model, and analyzing the irrigation area distribution difference in the garden greening area; S4. Based on the analysis results of the difference in greening water volume distribution and the difference in irrigation area distribution, assess the risk of differences in plant irrigation conditions within the garden greening area; S5. Optimize the parameter settings of the irrigation device based on the risk assessment results of the differences in plant watering conditions.

2. A landscaping irrigation decision-making method based on multi-source information fusion according to claim 1, characterized in that: The step S2 comprises the following specific steps: S21, extracting plant terrain distribution information and parameter setting information of the irrigation device in the garden greening area; S22, importing the plant terrain distribution information of the garden greening area and the parameter setting information of the irrigation device into the greening water distribution difference coefficient calculation formula to calculate the greening water distribution difference coefficient in the garden greening area; the greening water distribution difference coefficient calculation formula is: ； In the formula, C represents the coefficient of greening water distribution difference in the garden greening area, Si represents the slope of the i-th equal-area greening area in the plant terrain distribution information, n represents the number of medium-area greening areas in the plant terrain distribution information, m represents the number of watering devices in the i-th equal-area greening area in the parameter setting information of the watering device, Aij represents the area of ​​the area that the j-th watering device is responsible for watering in the i-th equal-area greening area in the parameter setting information of the watering device, Qij represents the water volume set by the j-th watering device in the i-th equal-area greening area in the parameter setting information of the watering device, Wij represents the water volume measured by the water volume sensor in the area that the j-th watering device is responsible for watering in the i-th equal-area greening area in the plant terrain distribution information after watering, It represents the average water volume measured by the water volume sensor after the watering of all green areas of equal area in the plant terrain distribution information; i is any item from 1 to n, and j is any item from 1 to m.

3. A landscaping irrigation decision-making method based on multi-source information fusion according to claim 2, characterized in that: The step S3 comprises the following specific steps: S31, extracting the distribution information of the irrigation devices in the garden greening area and the parameter setting information of the irrigation devices; S32, importing the irrigation device distribution information and the parameter setting information of the irrigation device in the garden greening area into the irrigation area distribution difference coefficient calculation formula to calculate the irrigation area distribution difference coefficient in the garden greening area; the irrigation area distribution difference coefficient calculation formula is: ； Wherein, D represents the distribution difference coefficient of irrigation areas in the garden greening area, Pij represents the water demand of all types of plants in the i-th equal-area greening area that the j-th irrigation device is responsible for irrigation, dij represents the distance from the j-th irrigation device in the i-th equal-area greening area to the center of the area it is responsible for irrigation in the irrigation device distribution information, and di represents the average value of the distance from all irrigation devices in the i-th equal-area greening area in the irrigation device distribution information to the center of the corresponding irrigation area.

4. The landscaping irrigation decision-making method based on multi-source information fusion according to claim 3 is characterized in that: The step S4 includes the following specific contents: S41, extracting the calculated greening water distribution difference coefficient within the garden greening area and the irrigation area distribution difference coefficient; S42, importing the greening water distribution difference coefficient and the irrigation area distribution difference coefficient into the plant irrigation condition difference risk coefficient calculation formula to calculate the plant irrigation condition difference risk coefficient in the garden greening area; The calculation formula of the risk coefficient of the difference in plant watering conditions is: ； Where R represents the risk coefficient of plant irrigation conditions in the garden greening area, a and b represent the impact weight of greening water distribution and irrigation area distribution, respectively.

5. The landscaping irrigation decision-making method based on multi-source information fusion according to claim 4 is characterized in that: The step S5 includes the following specific contents: The calculated risk coefficient of plant watering condition difference in the garden greening area is obtained, and a plant watering condition difference risk threshold is preset. When the risk coefficient of plant watering condition difference in the garden greening area is greater than the plant watering condition difference risk threshold, an optimization warning of the watering device parameter setting is issued to the watering personnel.

6. A landscaping irrigation decision system based on multi-source information fusion, which is implemented based on a landscaping irrigation decision method based on multi-source information fusion as claimed in any one of claims 1 to 5, characterized in that: The system comprises: A data acquisition module is used to obtain plant terrain distribution information and irrigation device distribution information in the garden greening area, and to obtain parameter setting information of the irrigation device; The greening water volume distribution difference analysis module is used to import the plant terrain distribution information and the parameter setting information of the irrigation device into the greening water volume distribution difference analysis model to analyze the greening water volume distribution difference in the garden greening area; The irrigation area distribution difference analysis module is used to import the irrigation device distribution information and the irrigation device parameter setting information into the irrigation area distribution difference analysis model to analyze the irrigation area distribution difference in the garden greening area; The plant irrigation condition difference risk assessment module is used to assess the risk of plant irrigation condition differences within the garden greening area based on the greening water distribution difference analysis results and the irrigation area distribution difference analysis results; The watering parameter optimization module is used to optimize the parameter settings of the watering device according to the risk assessment results of the differences in plant watering conditions; The control module is used to control the operation of the data acquisition module, the greening water distribution difference analysis module, the irrigation area distribution difference analysis module, the plant irrigation status difference risk assessment module and the irrigation parameter optimization module.

7. An electronic device comprising: A processor and a memory, wherein the memory stores a computer program that can be called by the processor; characterized in that the processor executes a landscaping watering decision-making method based on multi-source information fusion as described in any one of claims 1 to 5 by calling the computer program stored in the memory.

8. A computer-readable storage medium, characterized in that: Instructions are stored, and when the instructions are executed on a computer, the computer is caused to execute a landscaping watering decision-making method based on multi-source information fusion as described in any one of claims 1 to 5.

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