Garden landscape planning and designing system and method based on data analysis

Abstract

The invention belongs to the technical field of garden planning management, and particularly relates to a garden landscape planning design system and method based on data analysis, and the system comprises a data collection and transmission module, a data processing and analysis module, an intelligent aided design module and a scheme visualization module. According to the invention, the data collection and transmission module and the data processing and analysis module collect environmental data, historical case data and early-stage research data of a planning area and carry out deep analysis, and the intelligent aided design module automatically generates a preliminary planning and design scheme based on an analysis result in combination with a GIS and a three-dimensional modeling technology. The scheme visualization module visually displays the planning and design scheme, the virtual reality experience module converts the planning and design scheme into an immersive virtual environment, the scientificity and accuracy of landscape planning and design are remarkably improved, the operation performance of the scheme visualization module is judged through visual abnormal decision analysis, early warning is conducted in time, and the system is convenient to use. And the use performance and the operation safety are ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of garden planning and management, and in particular to a garden landscape planning and design system and method based on data analysis. Background Art

[0002] With the acceleration of urbanization and people's increasing attention to the quality of living environment, garden landscape planning and design has become increasingly important. Traditional garden landscape planning and design relies on the designer's personal experience, artistic aesthetics and on-site investigation, and lacks systematic and data-based decision-making support. With the rapid development of information technology, especially the application of big data and artificial intelligence technology, new ideas have been provided for garden landscape planning and design.

[0003] However, there is currently a lack of a comprehensive system that can fully integrate various data resources and conduct in-depth analysis and intuitive display of garden landscape planning and design results. It is also difficult to conduct virtual reality experience of design plans and achieve effective supervision of the experience, which is not conducive to the optimization and adjustment of garden landscape planning and design plans, and it is difficult to improve the scientificity and accuracy of garden landscape planning and design, and the level of intelligence is low;

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to provide a garden landscape planning and design system and method based on data analysis, which solves the problems that the prior art lacks a comprehensive system that can comprehensively integrate various data resources and conduct in-depth analysis and intuitively display the results of garden landscape planning and design, and it is difficult to conduct virtual reality experience of design schemes and achieve effective supervision of the experience, it is difficult to improve the scientificity and accuracy of garden landscape planning and design, and the level of intelligence is low.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] The garden landscape planning and design system based on data analysis includes a data collection and transmission module, a data processing and analysis module, an intelligent auxiliary design module and a scheme visualization module; the data collection and transmission module uses the Internet of Things technology to automatically collect environmental data of the planning area, and searches for garden landscape planning and design cases of similar types or climate conditions at home and abroad, and collects the expectations, preferences and needs of potential users or surrounding residents for garden landscapes through preliminary research, and sends the acquired information to the data processing and analysis module;

[0008] The data processing and analysis module cleans and integrates the collected data to form a unified data format and standard, and uses big data analysis technology and machine learning algorithms to conduct in-depth analysis of environmental data, historical case data and preliminary research data to identify key design elements; the intelligent assisted design module automatically generates a preliminary planning and design scheme based on the analysis results of the data processing and analysis module and combines GIS and 3D modeling technology, and sends the planning and design scheme to the scheme visualization module; the scheme visualization module visualizes the planning and design scheme, and the designer outputs scheme modification suggestions through the scheme visualization module to optimize and adjust the garden landscape planning and design scheme.

[0009] Furthermore, the scheme visualization module is communicatively connected to the virtual reality experience module. The scheme visualization module sends the planning and design scheme of the garden landscape to the virtual reality experience module. The virtual reality experience module uses virtual reality technology to transform the planning and design scheme into an immersive virtual environment. The designer summons users to experience the design effect through VR equipment to collect user feedback information.

[0010] Furthermore, the virtual reality experience module is connected to the experience survey and screening module in communication. After the user completes the experience, the experience survey and screening module collects the length of time the corresponding user stays in the virtual environment and marks it as a virtual dwell time value, and obtains the footprints of the corresponding user exploring the garden in the virtual environment. Based on the footprints of the garden exploration, the area of ​​the exploration area is collected and marked as a virtual exploration value, and the participation evaluation value is obtained by numerically calculating the virtual dwell time value and the virtual exploration value.

[0011] The engagement evaluation value is numerically compared with the preset engagement evaluation threshold. If the engagement evaluation value exceeds the preset engagement evaluation threshold, the corresponding user is marked as a trustworthy user. The real feelings of trustworthy users about the virtual environment are collected through questionnaires and interviews. Users are asked about their subjective experience in the virtual environment, and user feedback information on the garden landscape planning and design scheme is obtained based on this. The user feedback information is sent to the scheme visualization module.

[0012] Furthermore, the virtual reality experience module is communicatively connected to the experience risk monitoring and warning module. When the user is experiencing, the experience risk monitoring and warning module monitors and analyzes the physical safety status of the corresponding user, and determines through analysis whether to generate an experience warning signal for the corresponding user. When the experience warning signal is generated, the experience of the corresponding user is suspended.

[0013] Furthermore, the specific analysis process of the experience risk monitoring and early warning module is as follows:

[0014] The user is monitored by the camera, and if the user shakes, loses balance, or tries to grab a support, an experience warning signal is generated; the user's head and hand movements are monitored, and if the user has abnormal movement patterns, including rapid rotation or sudden stops, an experience warning signal is generated.

[0015] Furthermore, if the monitoring of the user's body, head and hands are normal, the breathing rate, heart rate and body temperature of the corresponding user are collected, and the deviation value of the breathing rate compared to the set standard breathing rate is marked as the breathing monitoring value. Similarly, the heart rate monitoring value and body temperature monitoring value are obtained;

[0016] The experience risk value is calculated by weighted summing up the respiratory monitoring value, heart rate monitoring value and body temperature monitoring value, and the experience risk value is numerically compared with the preset experience risk threshold. If the experience risk value exceeds the preset experience risk threshold, an experience warning signal is generated.

[0017] Furthermore, the solution visualization module is communicatively connected to the visualization supervision module and the visualization early warning module. The visualization supervision module monitors the operation of the solution visualization module and sends the operation monitoring data of the solution visualization module to the visualization early warning module. The visualization early warning module determines whether to generate a visualization alarm signal through visualization abnormality decision analysis, and performs inspection and maintenance of the solution visualization module when a visualization alarm signal is generated.

[0018] Furthermore, the specific analysis process of visual abnormal decision analysis includes:

[0019] The display brightness of the scheme visualization module is collected, and the deviation value of the display brightness from the preset brightness value is marked as the display characteristic value, and the average of all the display characteristic values ​​within a unit time is calculated to obtain the visualization display control value, and the duration of the display characteristic value of the scheme visualization module within a unit time exceeding the preset display characteristic threshold is marked as the visualization out-of-time value, and the visualization display control value and the visualization out-of-time value are numerically compared with the preset visualization display control threshold and the preset visualization display time threshold respectively; if the visualization display control value or the visualization out-of-time value exceeds the corresponding preset threshold, a visualization alarm signal is generated;

[0020] If both the visualization display control value and the visualization abnormal time value do not exceed the corresponding preset threshold value, the reaction time of the scheme visualization module is collected when the designer performs the touch operation, and the average of all reaction times in the unit time is calculated to obtain the reaction performance value, and the proportion of the number of occurrences in which the reaction time exceeds the preset reaction time threshold is marked as the reaction abnormal detection value, and the reaction performance value and the reaction abnormal detection value are numerically compared with the preset reaction performance threshold value and the preset reaction abnormal detection threshold value respectively. If the reaction performance value or the reaction abnormal detection value exceeds the preset threshold value, a visualization alarm signal is generated;

[0021] If both the reaction performance value and the reaction anomaly value do not exceed the preset threshold, the average operating temperature of the scheme visualization module per unit time is collected and marked as the visualization temperature value, the average operating vibration amplitude of the scheme visualization module per unit time is collected and marked as the visualization vibration value, and the number of times the scheme visualization module is attacked by the network per unit time is collected and marked as the visualization attack value. The visualization analysis value is obtained by numerically calculating the visualization temperature value, the visualization vibration value and the visualization attack value, and the visualization analysis value is numerically compared with the preset visualization analysis threshold. If the visualization analysis value exceeds the preset visualization analysis threshold, a visualization alarm signal is generated.

[0022] Further, the virtual reality experience module is communicated with the associated device detection module, and the associated device detection module obtains the running device involved in the virtual reality experience module, and marks the corresponding running device as an associated device i, where i is a natural number greater than 1;

[0023] Before the user experiences the service, the associated device detection module analyzes the device status of the associated device i, collects the production date of the associated device i, marks the interval between the current date and the production date as the first duration, and marks the total usage time of the associated device i in the historical stage as the second duration;

[0024] The number of failures of the associated device i during use in the historical stage is collected and marked as the equipment resistance value, and the average interval duration of inspection and maintenance of the associated device i in the historical stage is marked as the third duration;

[0025] By numerically calculating the first duration, the second duration, the third duration and the equipment transport resistance value to obtain an associated evaluation value, the associated evaluation value is numerically compared with the corresponding preset associated evaluation threshold, and if the associated evaluation value exceeds the preset associated evaluation threshold, the associated device i is marked as a non-matching device;

[0026] If there is a non-matching device in the virtual reality experience module, an experience difference signal is generated; if there is no non-matching device in the virtual reality experience module, the association evaluation value of the associated device i is compared with the corresponding preset association evaluation threshold to obtain the association decision value, and the association decision values ​​of all running devices involved in the virtual reality experience module are averaged to obtain the association matching coefficient, and the association matching coefficient is numerically compared with the preset association matching coefficient threshold. If the association matching coefficient exceeds the preset association matching coefficient threshold, an experience difference signal is generated; when the experience difference signal is generated, the corresponding running device is replaced.

[0027] Furthermore, the present invention also proposes a garden landscape planning and design method based on data analysis, comprising the following steps:

[0028] Step 1: The data collection and transmission module collects environmental data, historical case data and preliminary survey data of the planning area, and sends the acquired information to the data processing and analysis module;

[0029] Step 2: The data processing and analysis module cleans and integrates the collected data, uses big data analysis technology and machine learning algorithms to conduct in-depth analysis of environmental data, historical case data, and preliminary research data to identify key design elements;

[0030] Step 3: The intelligent auxiliary design module automatically generates a preliminary planning and design scheme based on the analysis results of the data processing and analysis module and in combination with GIS and 3D modeling technology;

[0031] Step 4: The scheme visualization module visualizes the planning and design scheme;

[0032] Step 5. The designer outputs scheme modification suggestions through the scheme visualization module to achieve optimization and adjustment of the garden landscape planning and design scheme.

[0033] Compared with the prior art, the present invention has the following beneficial effects:

[0034] 1. In the present invention, the environmental data, historical case data and preliminary investigation data of the planning area are collected and deeply analyzed through the data collection and transmission module and the data processing and analysis module. The intelligent auxiliary design module automatically generates a preliminary planning and design scheme based on the analysis results and combines GIS and three-dimensional modeling technology. The scheme visualization module visualizes the planning and design scheme, which significantly improves the scientificity and accuracy of garden landscape planning and design. The operation performance of the scheme visualization module is reasonably judged through visual abnormal decision analysis, and the management personnel are reminded to check and repair in time to ensure its performance and operation safety.

[0035] 2. In the present invention, after the user completes the experience, the experience survey screening module is used to screen the user to determine the trustworthy user, collect the trustworthy user's real feelings about the virtual environment, and ask the user about his subjective experience in the virtual environment, which is conducive to ensuring the accuracy of the feedback information obtained. When the user is experiencing, the experience risk monitoring and early warning module is used to monitor and analyze the physical safety status of the corresponding user and issue a timely early warning to ensure the user's experience safety. The associated device detection module is used to reasonably analyze the device status of each device in the virtual reality experience module and comprehensively judge the virtual reality simulation matching effect, which is conducive to ensuring the stable and effective operation of the virtual reality experience module and ensuring the user's experience effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to facilitate understanding by those skilled in the art, the present invention is further described below in conjunction with the accompanying drawings;

[0037] Figure 1 This is a system block diagram of Embodiment 1 of the present invention;

[0038] Figure 2 It is a system block diagram of Embodiment 2 and Embodiment 3 of the present invention;

[0039] Figure 3 This is a flow chart of the method of Embodiment 4 of the present invention. DETAILED DESCRIPTION

[0040] 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.

[0041] Embodiment 1: Figure 1 As shown, the garden landscape planning and design system based on data analysis proposed by the present invention includes a data collection and transmission module, a data processing and analysis module, an intelligent auxiliary design module, a scheme visualization module and a virtual reality experience module;

[0042] The data collection and transmission module uses the Internet of Things technology to automatically collect environmental data (climate, soil, water quality and other environmental data) of the planning area, provide basic condition analysis for the design, and search for garden landscape planning and design cases of similar types or climate conditions at home and abroad, analyze their design concepts, plant configurations, visitor feedback and other data, provide reference for the current design, and collect the expectations, preferences and needs of potential users or surrounding residents for garden landscapes through preliminary research, provide market guidance for the design, and send the acquired information to the data processing and analysis module;

[0043] The data processing and analysis module cleans and integrates the collected data to form a unified data format and standard, and uses big data analysis technology and machine learning algorithms to conduct in-depth analysis of environmental data, historical case data and preliminary research data to identify key design elements; the intelligent auxiliary design module automatically generates preliminary planning and design schemes based on the analysis results of the data processing and analysis module and combines GIS and 3D modeling technology, including plant configuration, water body design, road layout, etc., and sends the planning and design schemes to the scheme visualization module to realize intelligent design decision-making and improve design efficiency and creativity.

[0044] The scheme visualization module visualizes the planning and design scheme. Designers output scheme modification suggestions through the scheme visualization module to optimize and adjust the garden landscape planning and design scheme. The present invention integrates advanced technologies to realize the digitization, intelligence and visualization of design decisions, which significantly improves the scientificity, accuracy and innovation of garden landscape planning and design, and has broad application prospects and far-reaching social value.

[0045] In addition, the scheme visualization module sends the planning and design scheme of the garden landscape to the virtual reality experience module. The virtual reality experience module uses virtual reality technology to transform the planning and design scheme into an immersive virtual environment. The designer calls on users to experience the design effect through VR devices to collect user feedback information.

[0046] It should be noted that the scheme visualization module is connected to the visualization supervision module and the visualization early warning module in communication. The visualization supervision module monitors the operation of the scheme visualization module and sends the operation monitoring data of the scheme visualization module to the visualization early warning module. The visualization early warning module determines whether to generate a visualization alarm signal through visualization abnormal decision analysis. When a visualization alarm signal is generated, the scheme visualization module is inspected and maintained to ensure the performance and operation safety of the scheme visualization module. The specific analysis process of visualization abnormal decision analysis is as follows:

[0047] The display brightness of the scheme visualization module is collected, and the deviation value between the display brightness and the preset brightness value is marked as the display characteristic value, and the average of all the display characteristic values ​​in a unit time is calculated to obtain the visualization display control value, and the duration of the display characteristic value of the scheme visualization module exceeding the preset display characteristic threshold value in a unit time is marked as the visualization asymptotic value;

[0048] The visualization display control value and the visualization asynchronous value are numerically compared with the preset visualization display control threshold and the preset visualization display time threshold respectively. If the visualization display control value or the visualization asynchronous value exceeds the corresponding preset threshold, it indicates that the display effect of the scheme visualization module is poor within a unit time, and a visualization alarm signal is generated;

[0049] If both the visualization display control value and the visualization time difference value do not exceed the corresponding preset threshold value, it indicates that the display effect of the solution visualization module is good within the unit time. Then, when the designer performs the touch operation, the reaction time of the solution visualization module is collected. It should be noted that the larger the reaction time value, the slower the reaction of the solution visualization module to the corresponding touch operation.

[0050] The reaction performance value is obtained by calculating the average of all reaction times within a unit time, and the ratio of the number of occurrences of the reaction time exceeding the preset reaction time threshold is marked as the reaction abnormality detection value. The reaction performance value and the reaction abnormality detection value are numerically compared with the preset reaction performance threshold and the preset reaction abnormality detection threshold, respectively. If the reaction performance value or the reaction abnormality detection value exceeds the preset threshold, it indicates that the touch sensitivity of the solution visualization module within the unit time is poor, and a visualization alarm signal is generated;

[0051] If the reaction performance value and the reaction abnormality detection value do not exceed the preset threshold, indicating that the touch sensitivity of the solution visualization module in unit time is better, then the average operating temperature of the solution visualization module in unit time is collected and marked as the visualized operating temperature value, and the average operating vibration amplitude of the solution visualization module in unit time is collected and marked as the visualized operating vibration value, and the number of times the solution visualization module is attacked by the network in unit time is collected and marked as the visualized attack value;

[0052] The visualized operation temperature value YN, the visualized operation vibration value WS and the visualized attack value PM are numerically calculated by the formula FX=(ew×YN+tu×WS+re×PM) / 3 to obtain the visualized analysis value FX, wherein ew, tu and re are preset proportional coefficients with values ​​greater than zero, and the larger the value of the visualized analysis value FX is, the higher the overall operation risk of the scheme visualization module in unit time is.

[0053] The visualization analysis value FX is numerically compared with the preset visualization analysis threshold. If the visualization analysis value FX exceeds the preset visualization analysis threshold, it indicates that the overall operation risk of the solution visualization module per unit time is higher, and a visualization alarm signal is generated.

[0054] Embodiment 2: Figure 2 As shown, the difference between this embodiment and the first embodiment is that the virtual reality experience module is connected to the experience survey and screening module in communication. After the user completes the experience, the experience survey and screening module collects the length of time the corresponding user stays in the virtual environment and marks it as a virtual stop time value, and obtains the footprints of the corresponding user's garden exploration in the virtual environment. Based on the footprints of the garden exploration, the exploration area is collected and marked as a virtual exploration value;

[0055] The virtual stop time value SW and the virtual exploration value GP are numerically calculated by the formula XF=rg×SW+tw×GP to obtain the participation evaluation value XF; wherein rg and tw are preset proportional coefficients with values ​​greater than zero, and the larger the value of the participation evaluation value XF is, the deeper the experience of the corresponding user is, and the more reference significance the experience information provided by the user is;

[0056] The participation evaluation value XF is numerically compared with the preset participation evaluation threshold. If the participation evaluation value XF exceeds the preset participation evaluation threshold, it indicates that the corresponding user has a deeper experience and the experience information provided by the user has important reference significance, and the corresponding user is marked as a trustworthy user;

[0057] Through questionnaires and interviews, we collect the real feelings of trusted users about the virtual environment and ask users about their subjective experience in the virtual environment. Based on this, we obtain user feedback information on the garden landscape planning and design plan, and send the user feedback information to the plan visualization module, which is conducive to ensuring the accuracy of the feedback information obtained.

[0058] Furthermore, the virtual reality experience module is connected to the experience risk monitoring and early warning module in communication. When the user is experiencing, the experience risk monitoring and early warning module monitors and analyzes the physical safety status of the corresponding user, and determines whether to generate an experience early warning signal for the corresponding user through analysis. When the experience early warning signal is generated, the experience of the corresponding user is suspended. The user's physical status can be monitored in real time during the virtual experience and early warning can be issued in time to ensure the user's experience safety. The specific analysis process of the experience risk monitoring and early warning module is as follows:

[0059] The user is monitored through the camera. If the user shakes, loses balance, or tries to grab a support, it indicates that the user is likely to suffer from motion sickness or discomfort, and an experience warning signal is generated; and the user's head and hand movements are monitored. If the user has abnormal movement patterns, including rapid rotation or sudden stops, it indicates that the user's current physical condition is poor, and an experience warning signal is generated;

[0060] If the monitoring of the user's body, head and hands are normal, the breathing rate, heart rate and body temperature of the corresponding user are collected, and the deviation value of the breathing rate compared to the set standard breathing rate is marked as the breathing monitoring value. Similarly, the heart rate monitoring value and body temperature monitoring value are obtained;

[0061] The experience risk value SL is calculated by weighted summing up the respiratory monitoring value ZF, the heart rate monitoring value HP and the body temperature monitoring value YR using the formula SL = (c1×ZF+c2×HP+c3×YR) / 3, wherein c1, c2 and c3 are preset proportional coefficients whose values ​​are greater than zero, and the larger the value of the experience risk value SL is, the worse the current physical state of the corresponding user is; the experience risk value SL is numerically compared with the preset experience risk threshold; if the experience risk value SL exceeds the preset experience risk threshold, indicating that the current physical state of the corresponding user is poor, an experience warning signal is generated.

[0062] Embodiment 3: Figure 2As shown, the difference between this embodiment and the first and second embodiments is that the virtual reality experience module is communicatively connected to the associated device detection module, and the associated device detection module obtains the running devices involved in the virtual reality experience module (including head-mounted VR devices, audio devices, trackers, etc.), and marks the corresponding running devices as associated devices i, where i is a natural number greater than 1;

[0063] Before the user experiences the service, the associated device detection module analyzes the device status of the associated device i, collects the production date of the associated device i, marks the interval between the current date and the production date as the first duration, and marks the total usage time of the associated device i in the historical stage as the second duration; collects the number of failures of the associated device i during use in the historical stage and marks it as the equipment resistance value, and marks the average interval time for inspection and maintenance of the associated device i in the historical stage as the third duration;

[0064] The first duration QRi, the second duration TPi, the third duration SMi and the equipment transport resistance value ZSi are numerically calculated by the formula GXi=uy1×QRi+uy2×TPi+uy3×SMi+uy4×ZSi to obtain the associated evaluation value GXi, wherein uy1, uy2, uy3 and uy4 are preset proportional coefficients whose values ​​are greater than zero, and the larger the value of the associated evaluation value GXi is, the worse the equipment condition of the associated equipment i is in general; the associated evaluation value GXi is numerically compared with the corresponding preset associated evaluation threshold value, and if the associated evaluation value GXi exceeds the preset associated evaluation threshold value, indicating that the equipment condition of the associated equipment i is in general poor, the associated equipment i is marked as a non-matching equipment;

[0065] If there is a non-matching device in the virtual reality experience module, an experience difference signal is generated; if there is no non-matching device in the virtual reality experience module, the association evaluation value of the associated device i is calculated by ratio with the corresponding preset association evaluation threshold to obtain an association decision value, and the association decision values ​​of all running devices involved in the virtual reality experience module are averaged to obtain an association matching coefficient;

[0066] The correlation coordination coefficient is numerically compared with the preset correlation coordination coefficient threshold. If the correlation coordination coefficient exceeds the preset correlation coordination coefficient threshold, it indicates that the device coordination performance of the virtual reality experience module is generally poor, which is not conducive to ensuring the user's experience effect and the stability of the experience process, and an experience difference signal is generated; when the experience difference signal is generated, the corresponding operating equipment is replaced, and the equipment supervision is strengthened during use to ensure the stable and effective operation of the virtual reality experience module and the user's experience effect.

[0067] Embodiment 4: Figure 3As shown, the difference between this embodiment and the first, second and third embodiments is that the garden landscape planning and design method based on data analysis proposed by the present invention includes the following steps:

[0068] Step 1: The data collection and transmission module collects environmental data, historical case data and preliminary survey data of the planning area, and sends the acquired information to the data processing and analysis module;

[0069] Step 2: The data processing and analysis module cleans and integrates the collected data, uses big data analysis technology and machine learning algorithms to conduct in-depth analysis of environmental data, historical case data, and preliminary research data to identify key design elements;

[0070] Step 3: The intelligent auxiliary design module automatically generates a preliminary planning and design scheme based on the analysis results of the data processing and analysis module and in combination with GIS and 3D modeling technology;

[0071] Step 4: The scheme visualization module visualizes the planning and design scheme;

[0072] Step 5. The designer outputs scheme modification suggestions through the scheme visualization module to achieve optimization and adjustment of the garden landscape planning and design scheme.

[0073] The working principle of the present invention is as follows: when in use, environmental data, historical case data and preliminary investigation data of the planning area are collected through the data collection and transmission module; the data processing and analysis module uses big data analysis technology and machine learning algorithms to perform in-depth analysis on the environmental data, historical case data and preliminary investigation data; the intelligent auxiliary design module automatically generates a preliminary planning and design scheme based on the analysis results and in combination with GIS and three-dimensional modeling technology; the scheme visualization module performs visual display of the planning and design scheme; the virtual reality experience module uses virtual reality technology to transform the planning and design scheme into an immersive virtual environment; the designer calls on users to experience the design effect through VR equipment to collect user feedback information, thereby realizing the dataization, intelligence and visualization of design decisions, significantly improving the scientificity, accuracy and innovation of garden landscape planning and design; the scheme visualization module is operated and monitored through the visualization supervision module; the visualization early warning module determines whether to generate a visualization alarm signal through visualization abnormal decision analysis; when the visualization alarm signal is generated, the scheme visualization module is inspected and maintained to ensure its performance and operation safety.

[0074] The above formulas are all dimensionless and numerical calculations. The formula is a formula obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formula are set by technicians in this field according to actual conditions. The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the contents 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 technicians in the relevant technical field can understand and use the present invention well. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. The garden landscape planning and design system based on data analysis is characterized by: It includes a data collection and transmission module, a data processing and analysis module, an intelligent auxiliary design module and a scheme visualization module; the data collection and transmission module automatically collects environmental data of the planning area, searches for garden landscape planning and design cases of similar types or climate conditions at home and abroad, and collects the expectations, preferences and needs of potential users or surrounding residents for garden landscapes through preliminary research, and sends the acquired information to the data processing and analysis module; The data processing and analysis module cleans and integrates the collected data to form a unified data format and standard, conducts in-depth analysis of environmental data, historical case data and preliminary research data, and identifies key design elements; The intelligent auxiliary design module automatically generates a preliminary planning and design scheme based on the analysis results of the data processing and analysis module and combines GIS and 3D modeling technology. The scheme visualization module visualizes the planning and design scheme. The designer outputs scheme modification suggestions through the scheme visualization module to optimize and adjust the garden landscape planning and design scheme.

2. The garden landscape planning and design system based on data analysis according to claim 1 is characterized in that: The scheme visualization module is communicatively connected to the virtual reality experience module. The scheme visualization module sends the planning and design scheme of the garden landscape to the virtual reality experience module. The virtual reality experience module uses virtual reality technology to transform the planning and design scheme into an immersive virtual environment. The designer summons users to experience the design effect through VR equipment to collect user feedback information.

3. The garden landscape planning and design system based on data analysis according to claim 2 is characterized in that: The virtual reality experience module is connected to the experience survey and screening module. After the user completes the experience, the experience survey and screening module calculates the virtual stop time value and the virtual exploration value to obtain the participation evaluation value. If the engagement evaluation value exceeds the preset engagement evaluation threshold, the corresponding user will be marked as a trustworthy user. Through questionnaires and interviews, the real feelings of trustworthy users about the virtual environment are collected, and the users are asked about their subjective experience in the virtual environment. Based on this, user feedback information on the garden landscape planning and design scheme is obtained, and the user feedback information is sent to the scheme visualization module.

4. The garden landscape planning and design system based on data analysis according to claim 3 is characterized in that: The virtual reality experience module is communicatively connected to the experience risk monitoring and early warning module. When the user is experiencing, the experience risk monitoring and early warning module monitors and analyzes the physical safety status of the corresponding user, and determines through analysis whether to generate an experience early warning signal for the corresponding user.

5. The garden landscape planning and design system based on data analysis according to claim 4 is characterized in that: The specific analysis process of the experience risk monitoring and early warning module is as follows: If the user shakes, loses balance, or tries to grab a support, or if the user has an abnormal movement pattern, an experience warning signal is generated.

6. The garden landscape planning and design system based on data analysis according to claim 5 is characterized in that: If the monitoring of the user's body, head and hands are all normal, the experience risk value is calculated by weighted summing up the breathing monitoring value, heart rate monitoring value and body temperature monitoring value. If the experience risk value exceeds the preset experience risk threshold, an experience warning signal is generated.

7. The garden landscape planning and design system based on data analysis according to claim 1 is characterized in that: The solution visualization module communicates with the visualization supervision module and the visualization early warning module. The visualization supervision module monitors the operation of the solution visualization module and sends the operation monitoring data of the solution visualization module to the visualization early warning module. The visualization early warning module determines whether to generate a visualization alarm signal through visualization abnormality decision analysis, and inspects and repairs the solution visualization module when a visualization alarm signal is generated.

8. The garden landscape planning and design system based on data analysis according to claim 7 is characterized in that: The specific analysis process of visual abnormal decision analysis includes: If the visual display control value or the visual abnormal time value exceeds the corresponding preset threshold, a visual alarm signal is generated. If both the visual display control value and the visual abnormal time value do not exceed the corresponding preset threshold, the reaction performance value and the reaction abnormal detection value are numerically compared with the preset reaction performance threshold and the preset reaction abnormal detection threshold respectively. If the reaction performance value or the reaction abnormal detection value exceeds the preset threshold, a visual alarm signal is generated. If the reaction performance value and the reaction abnormality value do not exceed the preset threshold, the visualization analysis value is obtained by numerically calculating the visualization temperature value, the visualization vibration value and the visualization attack value. If the visualization analysis value exceeds the preset visualization analysis threshold, a visualization alarm signal is generated.

9. The garden landscape planning and design system based on data analysis according to claim 3 is characterized in that: The virtual reality experience module is communicatively connected to the associated device detection module. The associated device detection module obtains the running device involved in the virtual reality experience module, and marks the corresponding running device as an associated device i, where i is a natural number greater than 1; an associated evaluation value is obtained by numerically calculating the first duration, the second duration, the third duration, and the device transport resistance value. If the associated evaluation value exceeds the corresponding preset associated evaluation threshold, the associated device i is marked as a non-matching device; If there is a non-matching device in the virtual reality experience module, an experience difference signal is generated; if there is no non-matching device in the virtual reality experience module, the associated decision values ​​of all running devices involved in the virtual reality experience module are averaged to obtain the associated matching coefficient, and if the associated matching coefficient exceeds the preset associated matching coefficient threshold, an experience difference signal is generated.

10. The garden landscape planning and design method based on data analysis is characterized by: The method adopts the garden landscape planning and design system based on data analysis as described in any one of claims 1-9.

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