A leisure agriculture green health care landscape intelligent construction system

Abstract

This invention relates to the field of leisure agriculture and landscape planning technology, specifically disclosing an intelligent construction system for green health and wellness landscapes in leisure agriculture. The system includes an environmental data acquisition module, a landscape element database, an intelligent planning module, a landscape generation module, a health and wellness function assessment module, an interactive display module, a data storage and traceability module, and an optimization iteration module. The system acquires multi-source environmental data through meteorological, soil, water body, and pedestrian flow sensors, and performs standardized processing using a normalization method. Combining this data with plant and facility characteristic information from the database, it constructs a comprehensive optimization objective function for ecological benefits, health and wellness benefits, and aesthetic benefits, with constraints including ecological adaptability, spatial balance, and rationality of movement paths. The health and wellness function assessment covers six dimensions: air purification, water health and wellness, noise reduction, psychological relaxation, sports rehabilitation, and crowd comfort, outputting a comprehensive health and wellness index and graded results.

Description

Technical Field

[0001] This invention relates to the field of leisure agriculture and landscape planning, and more specifically, to an intelligent construction system for green health and wellness landscapes in leisure agriculture. Background Technology

[0002] In recent years, with the acceleration of urbanization and the improvement of residents' living standards, people's demand for leisure agriculture and health tourism has been increasing. Leisure agriculture not only carries the function of food production, but has also gradually expanded into an important carrier for ecological sightseeing, science education, and health preservation. In particular, the introduction of the concept of "green health preservation" has enabled agricultural parks to gradually assume an important role in regulating physical and mental health and improving the living environment. However, the existing construction of leisure agricultural landscapes still mainly relies on manual experience and static design, which has many shortcomings.

[0003] Firstly, in terms of ecological environment matching, most current landscape designs rely solely on the designer's experience, often neglecting key factors such as climate conditions, soil properties, and water conditions. For example, the selection of plants fails to systematically consider factors such as soil pH, organic matter content, and water transparency, resulting in low survival rates of some plants, rapid decline in landscape function, and difficulty in ensuring long-term stability.

[0004] Secondly, in terms of assessing health and wellness functions, existing methods mostly remain at the qualitative level, such as simply describing "increasing greenery can improve air quality," lacking quantitative indicators based on monitoring data. Functions such as air purification, water-based health and wellness, noise reduction, psychological relaxation, and exercise rehabilitation are difficult to evaluate using a unified system. Especially in high-density leisure agriculture parks, landscape carrying capacity and visitor comfort are often not systematically considered, easily leading to a poor user experience.

[0005] Thirdly, in terms of landscape optimization and operation management, the existing system lacks intelligent and dynamic feedback mechanisms. After landscape construction is completed, most parks lack iterative optimization methods based on environmental changes and user feedback, leading to a gradual disconnect between landscape planning and user needs. At the same time, the presentation methods are relatively limited; users typically only understand the plan through floor plans or on-site observation, lacking immersive experiences and interactive feedback channels.

[0006] Therefore, there is an urgent need for an intelligent construction system for green health and wellness landscapes in leisure agriculture to solve these problems. Summary of the Invention

[0007] The purpose of this invention is to solve the technical problems mentioned in the background section and to provide an intelligent construction system for green health and wellness landscapes in leisure agriculture, comprising: Environmental data acquisition module: used to acquire data on climate, soil, water bodies, vegetation, and human activity within agricultural areas; Landscape element database: used to store characteristic information of plant species, health and wellness facilities, landscape features and ecological structures; Intelligent planning module: used to generate landscape layout schemes that conform to the concept of green health and wellness based on environmental data and database content; Landscape generation module: used to transform planning schemes into feasible landscape construction models; Health and Wellness Function Assessment Module: Used to comprehensively assess the ecological health value and health and wellness value of the landscape layout; Intelligent Interaction and Display Module: Used to display landscape plans in a three-dimensional visualization format and provide a virtual interactive experience; Data storage and traceability module: used to store environmental data, planning schemes, evaluation results, and user feedback; Optimization and Iteration Module: Used to optimize and update the landscape construction model based on user experience and long-term monitoring data.

[0008] As a preferred technical solution of the present invention, the environmental data acquisition module includes a meteorological sensor, a soil moisture and fertility sensor, a water quality monitoring sensor, and an infrared or ultra-wideband human flow monitoring device, which is used to realize the synchronous monitoring of the natural environment and human activities.

[0009] As a preferred technical solution of the present invention, the landscape element database is constructed in a hierarchical structure, including an ecological adaptability layer, a health and wellness function layer, and an aesthetic design layer, which are used to store the environmental adaptability, health and wellness attributes, and landscape aesthetic parameters of plants or facilities, respectively.

[0010] As a preferred embodiment of the present invention, the intelligent planning module satisfies the following constraints when generating a landscape layout scheme: Ecological constraints: the suitability of plants for soil and climate conditions; Health and wellness constraints: Health and wellness functional indicators cover aspects such as air purification, sports rehabilitation, and psychological relaxation; Landscape constraints: balanced spatial layout, harmonious aesthetic features, and reasonable traffic flow.

[0011] As a preferred technical solution of the present invention, the landscape generation module transforms the planning scheme into a visualized three-dimensional landscape model through three-dimensional modeling and virtual simulation technology, and generates construction parameters and a plant configuration list.

[0012] As a preferred technical solution of the present invention, the health and wellness function assessment module quantifies the air purification, water conservation, noise reduction, psychological relaxation, sports rehabilitation and crowd comfort of the landscape layout. The crowd comfort is determined by a combination of crowd density, dwell time and movement trajectory characteristics, and finally outputs a comprehensive health and wellness index.

[0013] As a preferred technical solution of the present invention, the intelligent interaction and display module includes a virtual reality (VR) headset, augmented reality applications, and a multimedia display terminal, allowing users to experience the landscape scheme and provide feedback in an immersive environment.

[0014] As a preferred technical solution of the present invention, the data storage and traceability module supports long-term storage and retrieval of environmental monitoring data, landscape scheme versions, health and wellness function assessment results and user feedback, and provides statistical analysis and visualization display functions.

[0015] As a preferred technical solution of the present invention, the optimization iteration module combines machine learning methods to train and correct historical monitoring data, user feedback and health assessment results, so as to realize adaptive adjustment of landscape planning parameters and output optimized landscape schemes periodically.

[0016] As a preferred technical solution of the present invention, the system supports access via mobile terminals. Users can view environmental monitoring data, three-dimensional landscape effects, comprehensive health and wellness index and grade grading results in real time through mobile applications or tablet terminals, and can submit interactive feedback information. Managers can also obtain optimization suggestions through mobile terminals, realizing intelligent management and interaction of green health and wellness landscapes.

[0017] Compared with the prior art, the present invention has the following beneficial effects: This invention achieves comprehensive monitoring of multi-dimensional environmental factors such as meteorology, soil, water bodies, and pedestrian traffic through the deployment of multiple types of sensors and real-time data acquisition. This data is then uniformly processed and incorporated into a landscape planning model. Compared to traditional methods relying on experience-based judgment, this invention ensures a high degree of matching between plant configuration and environmental conditions, avoiding landscape degradation caused by neglecting climate and soil suitability, and fundamentally improving the scientific nature and long-term stability of landscape construction.

[0018] This invention constructs a comprehensive evaluation system encompassing ecological, health, and aesthetic benefits. It introduces quantitative indicators across six dimensions—air purification, water health, noise reduction, psychological relaxation, sports rehabilitation, and user comfort—into the health function, enabling a multi-faceted assessment of the health value of leisure agricultural landscapes. This system not only ensures comparability between functional modules but also provides managers with an intuitive basis for classifying health levels, thereby enhancing the landscape's responsiveness and scientific level in meeting user health needs.

[0019] This invention presents the generated landscape design to users through a 3D digital twin model, supporting VR, AR, and mobile interaction. Users can provide feedback in an immersive experience, while the system utilizes an adaptive learning mechanism to optimize and adjust weight parameters. Through this closed-loop optimization mechanism, the landscape design can continuously improve based on historical data and user experience, achieving a "the more it's used, the better it becomes" effect. Compared to existing static design and one-way management models, this invention significantly enhances the dynamic adaptability and intelligence level of leisure agriculture landscapes, providing effective support for the long-term operation and refined management of green health and wellness parks. Attached Figure Description

[0020] Figure 1 System overall architecture and workflow diagram; Figure 2 This is the core logic diagram for intelligent planning and evaluation. Detailed Implementation

[0021] To make the objectives, technical solutions, and advantages of this invention clearer, the following description is provided in conjunction with embodiments and appendices. Figure 1-2 The present invention will be further described in detail below. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0022] The intelligent construction system for green health and wellness landscapes in leisure agriculture proposed in this invention aims to serve scenarios such as leisure agriculture parks, health and wellness farms, and rural tourism bases. Unlike traditional landscape design, this invention does not rely on human experience to arrange plants and facilities. Instead, through systematic data collection, model calculation, and feedback optimization, the landscape not only meets the requirements of ecological environmental protection but also highlights its health and wellness value, ultimately forming a green, healthy, and sustainable landscape environment.

[0023] The first step in system implementation is to collect environmental and pedestrian data. The ecological environment of agricultural parks is complex and diverse, influenced not only by climate conditions but also by soil, water bodies, and pedestrian activity. Therefore, this system deploys various types of sensors on-site, including meteorological sensors (collecting temperature data). ,humidity Light intensity Wind speed Soil sensor (for measuring moisture content) Organic matter content pH Water sensors (for monitoring transparency) Dissolved oxygen Total nitrogen Total phosphorus ), and people flow sensors (for counting people density) Duration of stay and movement trajectory These data constitute the "basic brain" of intelligent landscape planning, reflecting the true ecology and usage of the site.

[0024] Because the units and orders of magnitude of the different data vary significantly, the system needs to normalize all collected data. The basic method is: , Among them, positive indicators (such as higher vegetation coverage is better) are used Inverse indicators (e.g., higher pollutant concentrations mean worse conditions) are used. After processing, all indicators are uniformly mapped to the range of 0-1 for easy comprehensive comparison.

[0025] After obtaining this data, the system needs to integrate it with a landscape element database. The database stores basic information on plants, facilities, and landscape elements, and establishes three types of tags for each element: ecological adaptability tags, describing their requirements for temperature, soil, and water; health and wellness function tags, recording their contributions to air purification, psychological relaxation, or sports rehabilitation; and aesthetic design tags, used to guide landscape color matching and spatial layout. In this way, the database acts like a "material list," providing a range of options for subsequent optimization.

[0026] After acquiring the data, the system matches it with information on plants, facilities, and structures in the landscape element database. The database establishes three types of tags for each element: first, an ecological adaptability tag, describing its requirements for temperature, soil moisture content, pH, etc.; second, a health and wellness function tag, recording the element's role in air purification, psychological relaxation, or sports rehabilitation; and third, an aesthetic tag, reflecting characteristics of color, spatial layout, and seasonal changes. This provides dual support for the subsequent optimization process with both input data and selectable elements. The system's planning objective is to balance the values ​​of ecological, health and wellness, and aesthetic benefits; therefore, a comprehensive objective function is established:

[0027] in The final comprehensive evaluation value (dimensionless), Indicates ecological benefits, Indicates health and wellness benefits. Indicating aesthetic benefits, These are weighting coefficients, ranging from 0 to 1, and the sum of the three is 1.

[0028] To ensure the feasibility of the solution, the system also sets constraints: ecological adaptability. Spatial balance and the rationality of the traffic flow All must be greater than their respective thresholds .in Through formula Defined as the proportion of all candidate plants in the database that meet the climate and soil conditions; The balance is measured by calculating the service coverage of the facilities; the closer the value is to 1, the more balanced the service coverage. Then combine the path tortuosity and average distance to reach To calculate, if the tortuosity is close to 1 and the average distance is small, then A higher elevation indicates a reasonable traffic flow.

[0029] In calculating ecological benefits, the system considers not only vegetation cover, but also carbon sequestration, hydrological conservation, and soil health. in By vegetation coverage (%) is obtained by normalization; Calculated from the carbon fixation capacity of plant communities, i.e., the carbon sink per unit area of ​​different plant species. (t / ha·a) multiplied by the corresponding area (ha) is then normalized; Permeable pavement rate (%) and wetland area percentage (%) weighted average obtained; This is calculated from soil moisture content, organic matter, and pH, with pH using a function that represents the intermediate optimum; for example, the highest score is achieved when the pH is close to 6.5-7.0. (Weights are listed separately.) The sum is 1.

[0030] The calculation of health and wellness benefits is more complex, involving six dimensions: ; in The air purification index is determined by the concentration of negative air ions. (ions / c The vegetation cover rate determines the vegetation cover rate. The water body health and wellness index is determined by comprehensively considering the proportion of water body area. (%), Dissolved oxygen (mg / L), total nitrogen and total phosphorus content (mg / L, as a reverse indicator), and transparency. (cm); Indicating noise reduction effect, determined by the width of the green belt. (m), Leaf Area Index (Dimensionless) and background noise level (dB(A)) Calculate the residual noise and then normalize it; Indicating a psychological stress index, based on the plant diversity index. Color harmony score (0-1) and spatial openness (0-1); The exercise rehabilitation index is determined by trail density. (km / ha), slope suitability (Dimensionless; values ​​will decrease if the slope is too steep or too flat) and accessibility rate (%) calculation; final Indicating crowd comfort, determined by crowd density (People / m², reverse indicator), length of stay (min, positive indicator) and trajectory rationality The weights of the six dimensions are obtained by combining (dimensionless) data. The sum is 1.

[0031] The calculation of aesthetic benefits is relatively straightforward, mainly focusing on three aspects: color, space, and field of view. ; in It is calculated from the seasonal color coverage of plants and reflects whether the changes in the four seasons are rich and harmonious. The coefficient of variation of service radius is usually used to measure whether the spatial distribution of facilities is balanced. This indicates visual accessibility, determined by the average visible distance. (m) Calculation, weights The sum is 1.

[0032] Using the above formula, the system can obtain a comprehensive health and wellness index. And classified as "Excellent" according to the grading standards. "good" and "to be optimized" In this way, managers and users can clearly understand the landscape design's performance in terms of health and wellness.

[0033] During the generation phase, the system transforms the optimization results into a 3D digital twin model and exports construction parameters such as plant density (plants / m²), walkway width (m), permeable paving ratio (%), and water area ratio (%). The 3D model not only guides construction but can also be displayed to users through VR headsets, AR applications, or large screens, allowing users to provide feedback and ratings while experiencing the model. (0-1) and opinions.

[0034] The system will save all data, including environmental monitoring values, planning schemes, evaluation results, and user feedback, to the database. To continuously improve the quality of the solutions, the system introduces an adaptive optimization mechanism and defines a loss function: ; in For the set of weights that need to be adjusted, The penalty coefficient is... The system updates parameters using gradient descent.

[0035] in For learning rate, This indicates that the weights are nonnegated and normalized. Through long-term operation, the system will gradually learn user preferences and the dynamic characteristics of the environment, making the landscape design increasingly rational.

[0036] Example 2: Assume a leisure agriculture and health resort covers an area of ​​50 hectares and plans to build a demonstration landscape featuring "ecological health and wellness". The system deploys sensors on-site and collects the following data: Meteorological data: temperature air humidity Light intensity lx, wind speed m / s, Soil data: Moisture content Organic matter content g / kg, pH Water data: Transparency cm, dissolved oxygen mg / L, total nitrogen mg / L, total phosphorus 0.15mg People flow data: People flow density people / m², average stay time Reasonableness of the trajectory (Dimensionless).

[0037] After normalizing the above data, the system inputs it into the optimization model. Database screening shows that plants suitable for the local climate and soil conditions account for 85% of the total number of candidates, thus the ecological suitability is high. Exceeding the threshold Spatial distribution balance of facilities Reasonableness of traffic flow All of these conditions were met. In the ecological benefit calculation, the vegetation coverage rate was 65%, the normalized value of carbon sequestration was 0.7, the hydrological conservation index obtained by combining the proportion of permeable pavement and wetlands was 0.68, and the soil health index was 0.72. The ecological benefits were calculated using a weighted average. .

[0038] In calculating health and wellness benefits, the air purification index... Water health and wellness index Noise Reduction Index Psychological relief index Sports rehabilitation index Crowd comfort index In weight allocation Under these conditions, health and wellness benefits can be obtained. .

[0039] In the calculation of aesthetic benefits, the color continuity index Spatial order index Visual accessibility index Weighted average yields aesthetic benefits The system takes weights in the comprehensive objective function. The overall evaluation value is obtained as follows: ; The final health and wellness index is According to the grading standards, it belongs to the "excellent" level.

[0040] The system converts the results into a three-dimensional digital twin model, which is displayed on a VR headset and mobile app. Users can see the layout of green spaces, water features, walkways, and health and wellness facilities, and provide a satisfaction rating. This feedback is stored along with the raw data and used in subsequent iterations to adjust the weighting coefficients, making future planning more aligned with user needs.

[0041] Therefore, it can be seen that the park in this embodiment not only has good ecological conditions, but also outstanding health and wellness functions, resulting in a high final score. Reaching the excellent level proves that the system can provide scientific basis and intuitive decision support for the intelligent construction of agricultural health and wellness landscapes.

[0042] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A smart construction system for green health and wellness landscapes in leisure agriculture, characterized in that, include: Environmental data acquisition module: used to acquire data on climate, soil, water bodies, vegetation, and human activity within agricultural areas; Landscape element database: used to store characteristic information of plant species, health and wellness facilities, landscape features and ecological structures; Intelligent planning module: used to generate landscape layout schemes that conform to the concept of green health and wellness based on environmental data and database content; Landscape generation module: used to transform planning schemes into feasible landscape construction models; Health and Wellness Function Assessment Module: Used to comprehensively assess the ecological health value and health and wellness value of the landscape layout; Intelligent Interaction and Display Module: Used to display landscape plans in a three-dimensional visualization format and provide a virtual interactive experience; Data storage and traceability module: used to store environmental data, planning schemes, evaluation results, and user feedback; Optimization and Iteration Module: Used to optimize and update the landscape construction model based on user experience and long-term monitoring data.

2. The intelligent construction system for a green health and wellness landscape in leisure agriculture according to claim 1, characterized in that, The environmental data acquisition module includes meteorological sensors, soil moisture and fertility sensors, water quality monitoring sensors, and infrared or ultra-wideband pedestrian flow monitoring equipment, which are used to achieve synchronous monitoring of the natural environment and human activities.

3. The intelligent construction system for a green health and wellness landscape in leisure agriculture according to claim 1, characterized in that, The landscape element database is constructed using a hierarchical structure, including an ecological adaptability layer, a health and wellness function layer, and an aesthetic design layer, which are used to store the environmental adaptability, health and wellness attributes, and landscape aesthetic parameters of plants or facilities, respectively.

4. The intelligent construction system for a green health and wellness landscape in leisure agriculture according to claim 1, characterized in that, When generating a landscape layout scheme, the intelligent planning module simultaneously satisfies the following constraints: Ecological constraints: the suitability of plants for soil and climate conditions; Health and wellness constraints: Health and wellness functional indicators cover air purification, sports rehabilitation, and psychological relief; Landscape constraints: balanced spatial layout, harmonious aesthetic features, and reasonable traffic flow.

5. The intelligent construction system for a green health and wellness landscape in leisure agriculture according to claim 1, characterized in that, The landscape generation module uses 3D modeling and virtual simulation technology to transform the planning scheme into a visualized 3D landscape model and generate construction parameters and a plant configuration list.

6. The intelligent construction system for a green health and wellness landscape in leisure agriculture according to claim 1, characterized in that, The health and wellness function assessment module quantifies the air purification, water conservation, noise reduction, psychological relaxation, sports rehabilitation, and crowd comfort of the landscape layout. The crowd comfort is determined by a combination of crowd density, dwell time, and movement trajectory characteristics, and finally outputs a comprehensive health and wellness index.

7. The intelligent construction system for a green health and wellness landscape in leisure agriculture according to claim 1, characterized in that, The intelligent interaction and display module includes a virtual reality headset, augmented reality applications, and a multimedia display terminal, allowing users to experience the landscape design and provide feedback in an immersive environment.

8. The intelligent construction system for a green health and wellness landscape in leisure agriculture according to claim 1, characterized in that, The data storage and traceability module supports long-term storage and retrieval of environmental monitoring data, landscape scheme versions, health and wellness function assessment results, and user feedback, and provides statistical analysis and visualization functions.

9. The intelligent construction system for a green health and wellness landscape in leisure agriculture according to claim 1, characterized in that, The optimization iteration module combines machine learning methods to train and correct historical monitoring data, user feedback, and health and wellness assessment results, thereby enabling adaptive adjustment of landscape planning parameters and periodically outputting optimized landscape schemes.

10. The intelligent construction system for a green health and wellness landscape in leisure agriculture according to claim 1, characterized in that, The system supports access via mobile terminals. Users can view environmental monitoring data, 3D landscape effects, comprehensive health and wellness index and grading results in real time through mobile applications or tablet terminals, and submit interactive feedback information. Managers can also obtain optimization suggestions through mobile terminals, realizing intelligent management and interaction of green health and wellness landscapes.

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