Ecotourism landscape design system and method for minority areas

Abstract

The present application relates to the technical field of smart tourism and ecological protection, and discloses an ecological tourism landscape design system and method for minority areas, comprising data units, analysis units, strategy units and feedback units connected in turn, the data units acquire real-time ecological parameter sets and cultural activity feature sets of target areas; the analysis units perform spatio-temporal superposition calculation on the two types of data, identify their coupling relationship and conflict intensity, and generate a cultural-ecological composite sensitivity index; the strategy units match corresponding landscape regulation strategies according to the index threshold, and generate design schemes containing time sequence adjustment instructions; and the feedback units calibrate the calculation rules of the analysis units according to the feedback data after the implementation of the schemes, solve the problem that traditional static design methods cannot dynamically respond to real-time contradictions between cultural active practice and ecological environment, and realize closed-loop design of quantitative perception, adaptive response and continuous optimization.

Description

Technical Field

[0001] This invention relates to the technical field of smart tourism and ecological protection, and discloses an ecotourism landscape design system and method for ethnic minority areas. Background Technology

[0002] Ethnic minority areas, with their unique cultural heritage and fragile ecological environment, have become important ecotourism destinations. However, the application of traditional landscape design methods in these areas still has many shortcomings. For example, mainstream landscape design relies heavily on static geographic information system data, historical documents, and the designer's experience, treating culture as static symbols or elements to be extracted and implanted, failing to respond to the dynamic nature of cultural activities; it cannot quantitatively assess or mitigate cultural-ecological conflicts in real time. Existing technologies lack the ability to monitor and quantitatively analyze the dynamic coupling relationship between cultural behavior and ecological response in real time, and are even less capable of making timely and precise interventions in the design process. After the design scheme is implemented, its actual effects and whether it has caused new conflicts are not assessed by traditional methods, which lack continuous data feedback and model optimization processes, and cannot evolve on its own. Summary of the Invention

[0003] To address the aforementioned technical problems, the main objective of this invention is to provide an ecotourism landscape design system for ethnic minority areas, wherein the ecotourism landscape design system for ethnic minority areas includes: The data unit is used to acquire the real-time ecological parameter set and cultural activity feature set of the target area, and uses the real-time ecological parameter set and the cultural activity feature set as the first output data; The analysis unit performs spatiotemporal overlay calculations on the real-time ecological parameter set and the cultural activity feature set, identifies the coupling relationship and conflict intensity between the two, and generates index data to characterize the cultural-ecological composite sensitivity of each geographical unit as the second output data. The strategy unit parses the index data and its corresponding coupling relationship type, matches and calls the corresponding landscape control strategy according to the threshold rules, and generates design scheme data containing facility layout, implementation sequence and adjustment instructions as the third output data; After the feedback unit receives the design scheme data and implements it, the data unit collects the feedback parameter set again and, in conjunction with the design scheme data, calibrates the spatiotemporal superposition calculation rules in the analysis unit.

[0004] As a preferred embodiment of the ecotourism landscape design system for ethnic minority areas according to the present invention, wherein: The data unit includes an ecological environment sensing subnet and a low-intrusion cultural perception subnet. The ecological environment sensing subnetwork is deployed at preset geographical nodes in the target area to continuously collect the real-time ecological parameter set in multiple dimensions, including soil, meteorological, acoustic and biological activity signals. The low-intrusion cultural perception subnet is used to collect the cultural activity feature set through a non-sensitive monitoring mode after authorization. The cultural activity feature set includes anonymized spatiotemporal distribution data of the population, specific audio feature data, and traditional production and life path trajectory data.

[0005] As a preferred embodiment of the ecotourism landscape design system for ethnic minority areas according to the present invention, wherein: The data unit also includes a community semantic interaction platform; The community semantic interaction platform is used to receive and integrate semantic annotation data actively provided by local community users. The semantic annotation data includes descriptions of the cultural significance of a specific geographic space, annotations of traditional ecological knowledge, or annotations of activities and events. The data unit is equipped with a data fusion processor, which is used to synchronize the real-time ecological parameter set, the cultural activity feature set and the semantic annotation data with timestamps and spatial location alignment to generate the structured first output data.

[0006] As a preferred embodiment of the ecotourism landscape design system for ethnic minority areas according to the present invention, wherein: When the analysis unit performs the spatiotemporal overlay calculation, it rasterizes the structured first output data according to a unified spatiotemporal grid. For each raster cell, spatial overlay analysis and time series correlation analysis are performed on the subset of ecological parameters and the subset of cultural features to identify the coupling relationship and conflict intensity between them. Based on the analysis results of the coupling relationship and conflict intensity, a quantitative cultural and ecological composite sensitivity score is calculated for each grid cell, which serves as the basic constituent unit of the index data.

[0007] As a preferred embodiment of the ecotourism landscape design system for ethnic minority areas according to the present invention, wherein: When the analysis unit generates the index data, it classifies the coupling relationship into different types according to preset rules; For each type of coupling relationship, a sensitivity sub-index is calculated based on its corresponding conflict intensity. The multiple sensitivity sub-indices are weighted and fused using preset weighting coefficients to generate the cultural ecology composite sensitivity index, which serves as the second output data.

[0008] As a preferred embodiment of the ecotourism landscape design system for ethnic minority areas according to the present invention, wherein: When the strategy unit operates according to the threshold rule, it presets at least two different sensitivity thresholds. The cultural-ecological composite sensitivity index of each grid cell is compared with the sensitivity threshold; When the index exceeds the first threshold, a flexible guidance strategy for low-intensity conflicts is matched and invoked; When the index exceeds a second threshold that is higher than the first threshold, a collaborative optimization strategy for high-intensity or persistent conflicts is matched and invoked.

[0009] As a preferred embodiment of the ecotourism landscape design system for ethnic minority areas according to the present invention, wherein: The strategy unit is pre-loaded with a landscape regulation strategy library, which contains a variety of strategy algorithms corresponding to the coupling relationship type and conflict intensity. Once the strategy unit determines that a certain type of strategy needs to be invoked based on the threshold rule, it further selects and executes the corresponding predefined strategy algorithm from the strategy library according to the specific coupling relationship type corresponding to the index data, so as to generate the design scheme data containing specific facility parameters, spatial coordinates and material and construction method requirements.

[0010] As a preferred embodiment of the ecotourism landscape design system for ethnic minority areas according to the present invention, wherein: When the strategy unit generates the design scheme data containing the implementation timing and adjustment instructions, it creates a multi-layer logical structure for the design scheme data, including a base layer and a timing layer. The base layer contains layout information for permanent or basic landscape facilities; The timing layer is associated with specific time conditions or event triggers to define the deployment and recovery time of temporary facilities, seasonal adjustment plans, or adjustment instructions in response to specific cultural activities.

[0011] As a preferred embodiment of the ecotourism landscape design system for ethnic minority areas according to the present invention, wherein: Receive and store the design scheme data output by the strategy unit as a benchmark scheme; The data unit receives a set of feedback parameters after the implementation of the benchmark scheme, the set of feedback parameters including a subset of ecological parameters and a subset of cultural characteristics after implementation; The feedback parameter set is compared and analyzed with the historical data corresponding to the implementation and the expected goals of the benchmark scheme to generate an effect evaluation result. Based on the effect evaluation results, the rule parameters or weight coefficients used in the analysis unit to perform spatiotemporal superposition calculations are calibrated, and calibration instructions are output to the update interface of the analysis unit.

[0012] As a preferred embodiment of the present invention's method for designing ecotourism landscapes in ethnic minority areas, wherein: S1. Collect real-time ecological parameter sets and cultural activity feature sets of the target area; S2. Perform spatiotemporal correlation analysis on the real-time ecological parameter set and the cultural activity feature set, identify the dynamic coupling relationship between the two and generate a cultural ecology composite sensitivity index. S3. Based on the value of the cultural ecology composite sensitivity index and its corresponding coupling relationship type, match and generate a landscape design scheme containing temporal adjustment instructions. S4. Based on the feedback data collected again after the implementation of the landscape design scheme, the rules of the spatiotemporal correlation analysis are dynamically calibrated.

[0013] The beneficial effects of this invention are: This application utilizes a multi-source sensing and acquisition network within the data unit to simultaneously acquire high spatiotemporal resolution ecological parameters and cultural activity characteristics, transforming previously abstract and qualitative cultural practices into a computable data stream. The analysis unit, through spatiotemporal overlay calculations, achieves an objective quantification of the dynamic coupling relationship and conflict intensity between the two, generating a cultural-ecological composite sensitivity index, which more intuitively displays the real-time state of ecology and culture in ethnic minority areas.

[0014] This application automatically matches different levels of control strategies through threshold rules of strategy units. The generated design scheme data not only includes spatial layout, but also embeds implementation sequence and dynamic adjustment instructions, enabling the landscape to respond to cultural and ecological conflicts of different times and intensities.

[0015] This application incorporates the effect data after the implementation of the scheme into the system through the feedback unit, which is used to calibrate the core calculation rules of the analysis unit. It can learn from the actual intervention effect, continuously revise its cognitive model of cultural and ecological relationship, and enable the entire design system to have iterative evolution capability, continuously improving the scientificity and effectiveness of future design strategies.

[0016] This application perceives cultural life in a low-intrusive manner and incorporates local knowledge through a community interaction platform, making the design more closely aligned with the authentic cultural context. Simultaneously, by mitigating conflicts in real time, the system can minimize the negative impact on the fragile ecological environment while developing tourism, supporting the sustainable development of ecotourism in ethnic minority areas. Attached Figure Description

[0017] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. Wherein: Figure 1 This is a diagram showing the overall data flow and workflow of the ecotourism landscape design system for ethnic minority areas according to the present invention. Figure 2 This is a flowchart illustrating the overall design method of the ecotourism landscape design method for ethnic minority areas according to the present invention. Figure 3 This invention provides a flowchart for the dynamic correlation and quantitative analysis of cultural ecology in an ecotourism landscape design system for ethnic minority areas. Figure 4 This is a flowchart illustrating the adaptive landscape strategy generation process in the ecotourism landscape design system for ethnic minority areas, as described in this invention. Figure 5 This is a flowchart illustrating the closed-loop learning and model optimization process in the ecotourism landscape design system for ethnic minority areas, as described in this invention. Detailed Implementation

[0018] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0019] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0020] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it a single or selective embodiment that is mutually exclusive with other embodiments. Example 1

[0021] like Figure 1 As shown, the ecotourism landscape design system for ethnic minority areas includes: The data unit is used to acquire the real-time ecological parameter set and cultural activity feature set of the target area, and uses the real-time ecological parameter set and the cultural activity feature set as the first output data; The data unit includes an ecological environment sensing subnet and a low-intrusion cultural perception subnet. The ecological environment sensing subnetwork is deployed at preset geographical nodes in the target area to continuously collect the real-time ecological parameter set in multiple dimensions, including soil, meteorological, acoustic and biological activity signals. The ecological environment sensing subnet consists of sensor nodes, which are deployed in preset geographical nodes in the target area according to ecological functional zoning and terrain features. These preset geographical nodes form a self-organizing network through low-power wide area networks, such as LoRa or NB-IoT, to achieve energy self-sufficiency and data backhaul.

[0022] At each key monitoring point, such as the edge of farmland or along hiking trails, a multi-parameter soil sensor probe is deployed. This probe penetrates to a predetermined depth below the soil surface, measuring soil volumetric water content through capacitive sensing, soil temperature through thermal conductivity sensing, and soil conductivity through conductivity sensing electrodes, thereby indirectly reflecting the soil salinity and nutrient status. Data is collected and transmitted at preset intervals.

[0023] Miniature weather stations are deployed in open areas and under forest canopies. Each weather station integrates multiple sensors: a thin-film capacitive sensor to measure relative humidity; a thermocouple or semiconductor temperature sensor to measure air temperature; an ultrasonic anemometer to measure wind speed and direction; and a silicon photodiode or total radiation sensor to measure light intensity.

[0024] In sensitive ecological areas, such as bird habitats and major cultural activity areas, waterproof digital microphone array nodes are deployed. Each node has a built-in digital signal processor that performs real-time spectrum analysis on the raw audio signals collected through FFT transformation.

[0025] A preferred example is to continuously calculate and output two key acoustic features: one is the equivalent continuous A-weighted sound level, used to quantify the level of ambient noise; the other is the acoustic energy peak in a specific frequency band, which is associated with the sound characteristics of certain bird calls or specific traditional musical instruments, used to non-invasively indicate the occurrence of biological activities or cultural events.

[0026] Passive infrared trigger cameras and acoustic recorders are deployed near animal trails and water sources. The infrared cameras automatically take pictures when they detect moving heat sources. The images are processed by edge computing devices for lightweight target detection and only a structured log containing animal category, number, and time is uploaded. The acoustic recorders are set to work at night or during specific periods. By collecting audio clips, they identify and report the calls of specific species.

[0027] The low-intrusion cultural perception subnet is used to collect the cultural activity feature set through a non-sensitive monitoring mode after authorization. The cultural activity feature set includes anonymized spatiotemporal distribution data of the population, specific audio feature data, and traditional production and life path trajectory data.

[0028] Specifically, the low-intrusion cultural perception subnet captures the spatiotemporal dynamics of cultural activities with minimal intrusion, while fully respecting community privacy and cultural taboos.

[0029] Anonymous passenger flow statistics nodes with wide dynamic range video sensors are deployed at key entrances or high points in major public spaces. The video sensors process the images in real time at the image acquisition end, generating heat maps and quantity statistics of moving targets through background subtraction and target tracking algorithms. The original video frames are discarded immediately after processing, and only anonymous aggregated data is uploaded, such as "10:15-10:30, the peak number of people in area A is 50, and the main flow direction is east".

[0030] Several directional microphone nodes are placed in areas where festivals and events frequently take place. The audio stream is continuously analyzed by extracting audio features. The system also has a pre-stored audio fingerprint database that has been confirmed by the community and is culturally representative. When the matching degree between the features analyzed in real time and the fingerprints in the database exceeds a set threshold, the node generates an event record and uploads it to the network.

[0031] Community members wear wearable devices that integrate GNSS and inertial measurement to record their location coordinates at low frequency. Combined with the acceleration and angular velocity data from the inertial measurement wearable devices, all trajectory data is kept consistent with the wearer's ID on the device and then uploaded. By recording the movement trajectories of community members, frequently used traditional data collection paths, grazing routes, etc. can be identified.

[0032] The data unit also includes a community semantic interaction platform; The community semantic interaction platform is used to receive and integrate semantic annotation data actively provided by local community users. The semantic annotation data includes descriptions of the cultural significance of a specific geographic space, annotations of traditional ecological knowledge, or annotations of activities and events. The data unit is equipped with a data fusion processor, which is used to synchronize the real-time ecological parameter set, the cultural activity feature set and the semantic annotation data with timestamps and spatial location alignment to generate the structured first output data.

[0033] Specifically, the community semantic interaction platform is manifested as a mobile application or a touch screen all-in-one machine deployed in the community activity center, supporting the display of mainstream minority languages ​​and texts, and adopting intuitive interaction methods such as icons and voice navigation.

[0034] The community semantic interaction platform includes a geographic information visualization engine, a semantic annotation input interface, a local data caching module, and a secure communication module.

[0035] Semantic annotation includes location selection, annotation input, and data standardization and uploading; The location selection includes users selecting geographic spaces on the map interface by clicking, drawing, or using voice description. The system uses the device's positioning function or image recognition to determine the precise geographic coordinates or boundary range of the selected area.

[0036] The annotation input includes descriptions of cultural significance, annotations of traditional ecological knowledge, and annotations of activities and events; Cultural significance descriptions include users describing the cultural attributes of a location via voice, handwriting, or selection from a pre-built library of cultural tags. Voice input is transcribed into text in real time by a recognition engine optimized for the local dialect.

[0037] Traditional ecological knowledge annotation allows users to annotate plants, animals, or natural phenomena, and the system will associate these annotations into a structured knowledge record.

[0038] Event labeling includes cultural events that users can report, whether they are about to happen or are happening, providing the system with prior knowledge of future events.

[0039] Data standardization and uploading include raw voice or free text submitted by users. Key information is extracted and structured by the platform's backend natural language processing service. The processed structured data is then encrypted and asynchronously uploaded to the central server.

[0040] The natural language processing service is built upon a pre-trained language model, specifically employing the following technical solutions: For the processing of minority languages, a local language corpus was collected, and the XLM-RoBERTa model was fine-tuned using transfer learning techniques.

[0041] Construct a domain-specific dictionary of cultural entities, including professional terms in areas such as festivals and traditional production.

[0042] Design a multi-task learning framework to perform named entity recognition, relation extraction, and sentiment analysis simultaneously.

[0043] For voice input, a speech recognition engine optimized for the local dialect is used, while controlling the word error rate.

[0044] All data sources are timestamped based on a time synchronization protocol the instant they collect or generate data.

[0045] The fusion processor establishes a configurable time alignment window. For data reported by each subsystem, the fusion processor checks the timestamps. All data belonging to the same alignment window are considered as observation samples occurring at the same time and correlated. For continuous trajectory data, it is sliced ​​according to the time window.

[0046] The system establishes a unified spatial reference frame in the target area. All data with spatial information is unified to the spatial reference frame through coordinate transformation algorithm before being stored. For ambiguous area descriptions generated in the community platform annotation, the system calls the geofencing service to associate them with the predefined area boundaries.

[0047] The fusion processor divides the entire target area into a regular spatiotemporal grid, and each data point is assigned to one or more grid cells according to its coordinates.

[0048] The fusion processor uses a spatiotemporal cube data model as the structure of the first output data, and each cube unit is uniquely determined by the time dimension, spatial dimension and attribute dimension.

[0049] For a given time slice and a specific spatial grid, the processor performs the following operations: Extract all ecological sensor readings, cultural perception events, and community semantic annotations within this spatiotemporal unit.

[0050] Aggregating and summarizing multi-source data. For example, readings from multiple sensors of the same type are interpolated using spatial interpolation methods to obtain representative ecological parameter values ​​for a spatial grid; cultural perception data within the spatial grid are statistically analyzed to obtain quantitative features; and all semantic labels related to the spatial grid are merged and deduplicated.

[0051] The results are encapsulated into standardized data objects, which are the smallest units of the first output data. Their structure includes a unique identifier for the spatiotemporal grid, a timestamp, a spatial range, and an aggregated set of ecological parameters, cultural features, and community semantic annotations.

[0052] The generated first output data stream is pushed to the analysis unit in real time through a message queue or stream processing interface.

[0053] The analysis unit receives standardized data that has been time-synchronized, spatially aligned, and attribute-structured, with spatiotemporal grids as the basic unit.

[0054] The analysis unit performs spatiotemporal overlay calculations on the real-time ecological parameter set and the cultural activity feature set, identifies the coupling relationship and conflict intensity between the two, and generates index data to characterize the cultural-ecological composite sensitivity of each geographical unit, as the second output data, such as... Figure 3 As shown; The analysis unit first confirms and receives the first output data from the data unit. The first output data is organized according to a unified spatiotemporal grid. Each grid cell contains a set of standardized ecological parameter values, such as soil moisture and noise level, and a set of cultural characteristic values, such as population density and audio events, within a specific time slice.

[0055] When the analysis unit performs the spatiotemporal overlay calculation, it rasterizes the structured first output data according to a unified spatiotemporal grid. For each raster cell, spatial overlay analysis and time series correlation analysis are performed on the subset of ecological parameters and the subset of cultural features to identify the coupling relationship and conflict intensity between them. Furthermore, for each grid cell, the analysis unit performs spatial overlay analysis to reveal the coexistence relationship and potential pressures of ecological status and cultural activities in the same spatial location.

[0056] The ecological parameter set and cultural feature set within the grid are considered as two superimposed information layers.

[0057] Specifically, the observed ecological parameter values, such as soil compaction, are paired with the intensity of cultural activities at the same moment, such as trajectory flow, and the embedded ecological and cultural impact relationship knowledge base is queried.

[0058] By querying relationships, the system determines whether the intensity of current cultural activities has approached or exceeded the carrying capacity of the grid's ecological baseline, thereby identifying potential conflict points. For example, the system will determine whether the real-time soil moisture and noise levels in grids with high population density have entered the range requiring attention or warning.

[0059] Based on the analysis results of the coupling relationship and conflict intensity, a quantitative cultural and ecological composite sensitivity score is calculated for each grid cell, which serves as the basic constituent unit of the index data.

[0060] The analysis unit not only analyzes the instantaneous state, but also forms ecological parameter sequences and cultural characteristic sequences from the data of each grid on continuous time slices, and performs dynamic correlation analysis.

[0061] Specifically, specific ecological parameters of each grid cell are extracted over a continuous period of time, such as a festival cycle, such as the time series curve of the daily average noise level, and the corresponding cultural characteristics, such as the time series curve of the daily maximum population density.

[0062] By comparing the fluctuation patterns of specific ecological parameters and cultural characteristics, we can identify the synergistic relationship between the two. For example, we can analyze whether the ecological parameters of surrounding grids exhibit abnormal fluctuations or delayed recovery during and after a specific cultural event.

[0063] By combining the instantaneous analysis of spatial overlay with the dynamic analysis of time series, the analysis unit qualitatively and quantitatively determines the interaction patterns of cultural ecology within each grid unit.

[0064] Specifically, the system categorizes the interaction relationships within the grid into several predefined types based on preset rules, such as dynamic equilibrium, periodic pressure, or cumulative conflict. The classification criteria include the conflict state in spatial analysis, the correlation strength in temporal analysis, and the background information provided by community semantic annotation.

[0065] For grids identified as conflicting, the severity is further quantified. The intensity calculation comprehensively considers the following factors: the extent to which ecological parameters deviate from the normal baseline, the intensity and frequency of cultural activities, and the duration of the deviation. The system outputs a standardized conflict intensity level through a multi-factor weighted assessment model, for example, divided into low, medium, and high levels or a continuous score.

[0066] A method for setting up a multi-factor weighted evaluation model includes: First, the ecological parameter deviation factor, cultural activity intensity factor, and state duration factor, which affect the intensity of conflict, were independently calculated and standardized to ensure that the values ​​of each factor were within a uniform and comparable dimensional range. The ecological parameter deviation factor was obtained by calculating the relative difference between the current observed value and the preset ecological baseline state; the cultural activity intensity factor was characterized by combining the instantaneous energy level of the activity with the frequency of occurrence per unit time; and the state duration factor was obtained by measuring the length of time that the abnormal state was continuously maintained and normalizing it against the typical recovery cycle of this type of ecological process. Each factor was processed into a dimensionless score representing its degree of influence.

[0067] Secondly, the system has preset configurable weight coefficients, which correspond to the standardized factor scores of the ecological parameter deviation factor, cultural activity intensity factor, and state duration factor, respectively.

[0068] The weighting coefficients reflect the relative importance of different factors in the overall conflict intensity assessment. A preliminary comprehensive conflict intensity score is derived by summing the scores of each factor multiplied by its corresponding weighting coefficient. The weights can be configured and adjusted based on the protection priorities of the target area through expert knowledge or historical data learning.

[0069] Then, the overall conflict intensity score needs to be further calibrated in conjunction with the specific coupling relationship types identified in the early stage. The system has a pre-set relationship type correction coefficient reference table, which sets different correction coefficients for different types of interaction modes. The correction coefficients are used to multiply and correct the initial overall score to obtain the final conflict intensity score.

[0070] A preferred example of a relation type correction coefficient representation includes: A correction factor K is set for different types of coupling relationships to calibrate the conflict intensity score: The coupling relationship types include dynamic equilibrium type, periodic pressure type, cumulative conflict type, and sacred space ecological background protection type.

[0071] The correction coefficient K for the dynamic equilibrium type is 1.0; The correction factor K for cyclical pressure type is 1.3. The correction factor K for cumulative conflict type is 1.8. The correction coefficient K for the Sacred Space Ecological Baseline Protection type is 2.5. Conflict intensity after calibration: S'=S×K, where S is the conflict intensity score.

[0072] The final score is mapped to a conflict intensity level. Based on the score range, the system maps the calculated final conflict intensity score to discrete intensity levels.

[0073] Based on the coupling relationship type and conflict intensity determined above, the analysis unit calculates a comprehensive cultural and ecological composite sensitivity score for each grid cell.

[0074] A preferred formula for synthesizing the cultural ecology composite sensitivity index is as follows: After obtaining each sub-index Ii, the final index is generated through weighted fusion: , where Σωi=1 The weights ωi of each sub-index are dynamically adjusted based on ecological vulnerability and cultural importance. A default configuration is: ecological factor weight 0.4, cultural factor weight 0.4, and community labeling factor weight 0.2.

[0075] The calculation logic includes: a cultural-ecological composite sensitivity score is used to comprehensively characterize the combined status of a grid unit in terms of both cultural practice dependence and ecological sensitivity and vulnerability. The calculation process uses conflict intensity as the base score, and then adjusts the coefficients according to the type of coupling relationship. For example, the adjustment coefficient for a relationship identified as cumulative conflict will be higher than that for a relationship identified as periodic pressure.

[0076] The multi-factor weighted assessment model is used to quantify the intensity of cultural ecological conflict. Its specific calculation steps are as follows: Ecological parameter deviation factor (E): E=(|Pcurrent-Pbaseline|) / Pbaseline, where Pcurrent is the current observation value and Pbaseline is the preset ecological baseline value. The result is normalized to the interval [0,1].

[0077] Cultural activity intensity factor (C): C = (instantaneous intensity × duration) / reference threshold. Instantaneous intensity can be characterized by crowd density or audio energy value, and the reference threshold is obtained through historical data statistics. The results are normalized to the [0,1] interval.

[0078] State duration factor (D): D = T_abnormal / T_recovery. Where T_abnormal is the duration of the abnormal state, and T_recovery is the typical recovery cycle of this type of ecological process. The result is normalized to the interval [0,1].

[0079] Based on the different protection priorities of different areas, weights are preset through expert scoring. A typical configuration is: weight vector W=[WE,WC,WD]=[0.5,0.3,0.2] for ecologically fragile areas; and [0.3,0.5,0.2] for culturally sensitive areas.

[0080] Conflict Intensity Score (S) Calculation: S = WE × E + WC × C + WD × D The calculated S value is converted into three conflict intensity levels—low, medium, and high—through a linear mapping or piecewise function.

[0081] Community knowledge weighting comes from labeled data from the community semantic interaction platform. For example, data marked as sacred forests or key water sources are used as important prior knowledge. This is introduced into the computational model to positively weight the sensitivity scores of the corresponding grids.

[0082] Furthermore, the calculation results of all grid cells are integrated to generate a spatialized cultural and ecological composite sensitivity index map covering the entire target area, which is the second output data.

[0083] When the analysis unit generates the index data, it classifies the coupling relationship into different types according to preset rules; For each type of coupling relationship, a sensitivity sub-index is calculated based on its corresponding conflict intensity. A preferred example of a type of partitioning coupling relationship includes: The dynamic equilibrium type shows a weak correlation between ecological parameters and cultural characteristics (|r|<0.3), and the conflict intensity S<0.3.

[0084] The cyclical stress type exhibits a significant seasonal / cyclical correlation (0.5 < |r| < 0.8), and the conflict intensity S fluctuates cyclically.

[0085] The cumulative conflict type shows a unidirectional deterioration trend in ecological parameters over time series, and is continuously positively correlated with the intensity of cultural activities (r>0.7), and the conflict intensity (S>0.6).

[0086] The multiple sensitivity sub-indices are weighted and fused using preset weighting coefficients to generate the cultural ecology composite sensitivity index, which serves as the second output data.

[0087] After comprehensively determining the coupling relationship and conflict intensity of each grid cell, the analysis cell performs the core exponential synthesis calculation to generate the second output data that ultimately guides the design decision.

[0088] The specific methods for synthesizing the second output data include: sub-index synthesis and weight fusion.

[0089] The sub-index generation is based on preliminary calculations of typification and intensity quantization.

[0090] Specifically, the analysis unit first classifies the identified coupling relationships into several predefined types according to the preset classification rules, such as the instantaneous interference type of festival gatherings, the cumulative impact type of traditional vegetation collection, and the ecological background protection type of sacred spaces. For each type of coupling relationship, the system calls the corresponding sub-index calculation function. The sub-index calculation function takes the quantitative conflict intensity of the relationship in the current grid as the input parameter, combines the baseline ecological background data of the grid, and outputs a preliminary sensitivity sub-index that reflects the prominence of the contradiction.

[0091] The calculation methods for the sub-index calculation function include: A set of basic score mapping rules is set for each type of coupling relationship, mapping the standardized conflict intensity level output above to an initial sub-index. The mapping relationship is non-linear, used to reflect the difference in contribution of different intensity levels to the final sensitivity. For example, for the traditional vegetation cumulative impact type, the initial sub-index value corresponding to high-intensity conflict will be significantly higher than the value assigned to the instantaneous disturbance type of festival gathering at the same intensity level, reflecting the cumulative and long-term nature of the potential impact.

[0092] The initial sub-index needs to be calibrated in conjunction with the ecological baseline data of the grid to reflect the relative pressure caused by human activities of the same intensity under different ecological baseline conditions. By calling the ecological baseline parameters of the grid cells, the same intensity of conflict will lead to higher relative pressure in grids with more fragile ecological baselines and poorer resilience.

[0093] The system adjusts the initial sub-indices upward based on the vulnerability level of the baseline, using a lookup table or coefficient multiplication; conversely, it adjusts them downward in grids with more stable ecological backgrounds, so that the sub-indices more accurately reflect relative ecological pressure.

[0094] The community semantic annotation data obtained from the data units will be transformed into cultural value weights. For example, grids labeled by the community as sacred spaces or key sources of traditional knowledge will be assigned a cultural value weight factor greater than 1. This cultural value weight factor will be multiplied with the baseline-calibrated sub-index to increase the sensitivity score of the class space in the final composite index, ensuring that the system incorporates and respects local cultural cognition and value judgments in the quantitative evaluation.

[0095] Finally, the sub-index is multiplied by the instantaneous environmental background coefficient, i.e., the dynamic environmental disturbance factor. If the environmental disturbance is strong, the instantaneous environmental background coefficient is increased. For example, during a prolonged drought, the stress state of the vegetation itself will make it more sensitive to human harvesting activities. Therefore, the system will make a final fine-tuning of the sub-index based on this environmental background.

[0096] The weight fusion is used for integrated calculations that reflect the combined influence of multiple factors.

[0097] The analysis unit has a pre-set dynamic weighting coefficient system, which assigns corresponding weights to different types of sensitivity sub-indices. The weight reflects the relative importance or urgency of the contradiction in the overall assessment. For example, the sub-index of the contradiction of protecting the ecological background of sacred space is given a higher protective weight.

[0098] The multiple sensitivity sub-indices calculated from the current grid are weighted and fused with their corresponding preset weight coefficients. Through a multi-criteria decision-making model, multiple dimensions such as ecological vulnerability, cultural irreplaceability, and conflict reversibility are integrated to finally generate a single, highly integrated cultural and ecological composite sensitivity index score, which is then assigned to the grid unit.

[0099] A preferred method for implementing a multi-criteria decision-making model includes: establishing a multi-criteria decision matrix, applying multi-criteria aggregation rules for integrated calculation, and performing normalization processing and conflict verification.

[0100] A multi-criteria decision matrix is ​​established, and the system constructs a decision matrix for each spatiotemporal grid unit to be evaluated. The rows of the decision matrix represent different evaluation criteria, which include, but are not limited to: ecological vulnerability, cultural irreplaceability, and contradiction reversibility.

[0101] The columns of the matrix contain all the sensitivity sub-indices related to the grid, each sub-index corresponding to a specific type of identified coupling relationship, such as the festival interference sub-index and the collection impact sub-index. The system retrieves the quantitative weights corresponding to each criterion from a pre-set knowledge base and obtains dimensional quantitative values ​​from the data cache that reflect the grid's ecological vulnerability level, cultural value criticality, and conflict recoverability level.

[0102] Multi-criteria aggregation rules are applied for ensemble computation. Multi-criteria ensemble computation is performed on the decision matrix.

[0103] One preferred approach is as follows: First, the system filters and adjusts each sub-indice based on the ecological vulnerability criterion. Conflicts occurring on a high-vulnerability background receive greater attention and amplification. Secondly, the principle of cultural irreplaceability is introduced as a mandatory protection factor; for any conflict occurring in an area with extremely high cultural value, its corresponding sub-index is multiplied by a factor significantly greater than one before aggregation. Finally, the principle of contradiction reversibility serves as a moderating factor; for contradiction types with strong reversibility and short recovery cycles, the contribution of their sub-indexes to the final aggregation is appropriately reduced.

[0104] Normalization and conflict verification are performed to map the initial composite evaluation value after normalization to a standardized, predefined index value range, generating the final cultural ecology composite sensitivity index score with consistency and comparability.

[0105] Furthermore, examine whether there are any cultural activities within the grid unit that have been marked by the community as absolutely protected or prohibited from intervention. If such a feature exists, the system will automatically force the final index value of the grid to be set to the highest level, regardless of the index score calculated above, to ensure that the highest level of protection strategy can be triggered by subsequent units.

[0106] Furthermore, after traversing all grid cells to complete the above calculations, a spatialized cultural and ecological composite sensitivity index map covering the entire target area is generated. The cultural and ecological composite sensitivity index map serves as the second output data. Each pixel in the second output data corresponds to a spatial grid and includes a quantized index value.

[0107] The strategy unit parses the index data and its corresponding coupling relationship type, matches and calls the corresponding landscape control strategy according to the threshold rule, and generates design scheme data containing facility layout, implementation sequence and adjustment instructions as the third output data; When the strategy unit operates according to the threshold rule, it presets at least two different sensitivity thresholds. The cultural-ecological composite sensitivity index of each grid cell is compared with the sensitivity threshold; When the index exceeds the first threshold, a flexible guidance strategy for low-intensity conflicts is matched and invoked; When the index exceeds a second threshold that is higher than the first threshold, a collaborative optimization strategy for high-intensity or persistent conflicts is matched and invoked.

[0108] The strategy unit continuously receives second output data from the analysis unit, which is a spatial map containing the cultural-ecological composite sensitivity index score of each grid unit and its dominant coupling relationship type. It has at least two pre-set hierarchical sensitivity thresholds (e.g., threshold one is set to 60, threshold two is set to 85). It traverses all grid units, compares the index score of each unit with these thresholds in real time, and triggers decision-making processes at different levels: When the index value of a certain unit exceeds threshold one but does not reach threshold two, the system determines that there is a low to moderate conflict in the area and needs to start the flexible guidance strategy generation process.

[0109] When the index value exceeds the threshold of 2, the system determines that there is a high-intensity or persistent conflict in the area and needs to initiate the collaborative optimization strategy generation process.

[0110] The strategy unit contains a pre-built landscape regulation strategy library, which includes various strategy algorithms corresponding to the coupling relationship type and conflict intensity, such as... Figure 4 As shown; A preferred example of a landscape regulation strategy library rule includes: The landscape regulation strategy library stores a variety of predefined landscape intervention logics. Each strategy is bound to a specific cultural-ecological composite sensitivity index range and its dominant coupling relationship type. The strategy unit parses the index data and relationship type, and matches and calls the corresponding strategy according to the following logic example: When the system determines that the cultural and ecological composite sensitivity index of a certain geographic grid unit is at a medium level and its dominant coupling relationship is identified as periodic stress type, the strategy unit will automatically call the flexible guidance strategy, which is used for temporary and seasonal adaptive interventions.

[0111] When the system determines that the cultural ecology composite sensitivity index of a certain grid cell has reached a high level and its dominant coupling relationship is identified as cumulative conflict type, the strategy unit will call the collaborative optimization strategy. The collaborative optimization strategy is used to alleviate deep-seated conflicts through more permanent engineering measures.

[0112] In this way, the strategy library encodes the preset expert knowledge and design rules into automatically executable logical judgments.

[0113] Once the strategy unit determines that a certain type of strategy needs to be invoked based on the threshold rule, it further selects and executes the corresponding predefined strategy algorithm from the strategy library according to the specific coupling relationship type corresponding to the index data, so as to generate the design scheme data containing specific facility parameters, spatial coordinates and material and construction method requirements.

[0114] Specifically, such as Figure 5As shown, the strategy unit includes a structured landscape regulation strategy library, which is a collection of condition-action rules and parameterized algorithms. Each strategy is explicitly associated with one or more coupling relationship types and a conflict intensity range.

[0115] After determining the required strategy for a specific grid based on a threshold, the system then uses the specific coupling relationship type of that grid as the key index to perform a match in the strategy library. For example, for a grid whose index exceeds the threshold of two and whose relationship type is traditional vegetation accumulation impact type, the system will lock and call the strategy named "Ecological Restoration Type Drainage Path Generation".

[0116] Each invoked predefined strategy algorithm encapsulates adjustment logic for the current conflict, and the output includes specific facility parameters, such as the width of the walkway, the porosity of the permeable material, the precise spatial coordinates, and a detailed set of instructions for recommended traditional materials and construction methods.

[0117] When the strategy unit generates the design scheme data containing the implementation timing and adjustment instructions, it creates a multi-layer logical structure for the design scheme data, including a base layer and a timing layer. The base layer contains layout information for permanent or basic landscape facilities; The timing layer is associated with specific time conditions or event triggers to define the deployment and recovery time of temporary facilities, seasonal adjustment plans, or adjustment instructions in response to specific cultural activities.

[0118] The final output of the strategy unit is the third output data, which is organized using a multi-layered logical structure consisting of a base layer, a time-series layer, a calendar-based instruction layer, an event-based instruction layer, a state-based instruction layer, and an implementation and retrieval instruction layer. It also carries permanent infrastructure and dynamic adaptive interventions. The foundation layer defines the layout information for permanent or long-term landscape facilities. For example, regardless of dynamic strategies, certain areas may always require fixed locations for eco-toilets, core trail routes, or permanent interpretive signage systems. The foundation layer constitutes the static framework of the landscape.

[0119] The timing layer is independent of the base layer but interconnected. It contains a series of time conditions or event triggers, as well as dynamic adjustment instructions bound to them.

[0120] For example, a calendar-based instruction layer could bind the annual azalea blooming season to generate instructions such as "temporary fence deployment" and "viewing platform opening" in a specific grid.

[0121] Based on the event-driven instruction layer, for example, when a community interaction platform forecasts a large-scale event to be held three days later, the system automatically generates instructions in the event-related grid to pre-deploy temporary path guidance signs and to reclaim all temporary facilities within three days after the festival ends.

[0122] A state-based instruction layer, for example, when a data unit detects that the soil moisture along a certain path continuously exceeds a threshold, it automatically generates an instruction to activate a backup wooden boardwalk within the next 24 hours.

[0123] The implementation and retrieval instruction layer is used to implement the timing layer to specify the deployment time, retrieval time, and storage location of temporary facilities.

[0124] After the feedback unit receives the design scheme data and implements it, the data unit collects the feedback parameter set again and, in conjunction with the design scheme data, calibrates the spatiotemporal superposition calculation rules in the analysis unit.

[0125] Receive and store the design scheme data output by the strategy unit as a benchmark scheme; The data unit receives a set of feedback parameters after the implementation of the benchmark scheme, the set of feedback parameters including a subset of ecological parameters and a subset of cultural characteristics after implementation; The feedback parameter set is compared and analyzed with the historical data corresponding to the implementation and the expected goals of the benchmark scheme to generate an effect evaluation result. Based on the effect evaluation results, the rule parameters or weight coefficients used in the analysis unit to perform spatiotemporal superposition calculations are calibrated, and calibration instructions are output to the update interface of the analysis unit.

[0126] The feedback unit continuously listens for and receives third output data from the strategy unit.

[0127] The feedback unit first archives and stores the plan and all its associated information to form a traceable baseline plan. For example, a plan might have a target of reducing the deviation of pedestrian flow trajectories from the soil by 30% during festivals in grid G-1023 after a temporary walkway is deployed.

[0128] After the baseline scheme is implemented as planned, the feedback unit sends an instruction to the data unit to initiate targeted post-implementation monitoring. The data unit then runs the multimodal data acquisition process again in the key areas and related time periods involved in the scheme to generate a feedback parameter set. The feedback parameter set has the same data structure as the initially acquired data, including a subset of ecological parameters and a subset of cultural characteristics of the same area after implementation, and is labeled with the time tag for post-implementation monitoring.

[0129] The feedback unit compares the subsequent data with historical baseline data and preset targets.

[0130] A preferred comparison method includes: target achievement analysis directly calculating the completion status of a preset quantitative target. For example, the actual measured soil deviation decreased by 25%, instead of the expected 30%.

[0131] The calibration algorithm employs an online learning method based on gradient descent. Define the loss function: Calculate the gradient: Where η is the learning rate, with an initial value of 0.05; X is the feature vector, which includes dimensions such as ecological parameters and cultural features.

[0132] The system performs a batch calibration once a week. After each calibration, the accuracy of the validation set must be improved; otherwise, the weights are rolled back and the learning rate is reduced.

[0133] The correlation pattern change analysis re-analyzes whether the dynamic coupling relationship between cultural characteristics and ecological parameters within the target grid has changed as expected after the intervention. For example, has the expected correlation of soil compaction caused by high-intensity human flow been weakened?

[0134] Unintended effects identification monitors whether interventions trigger unexpected side effects, such as whether crowds are diverted to another unforeseen sensitive area, causing new conflicts.

[0135] Based on the effect evaluation results, the feedback unit generates specific model calibration instructions. The calibration targets are the core rules and parameters in the analysis unit that perform spatiotemporal superposition calculations and exponential synthesis.

[0136] If the system is found to be consistently deviating from the intensity estimate of a certain type of conflict, the feedback unit will calculate adjustment suggestions for the weight coefficients in the assessment model for that type of conflict, such as increasing the weight of the duration factor.

[0137] If a decision rule for a certain type of coupling relationship is found to fail when faced with new situations, the feedback unit will mark the rule and suggest introducing new decision conditions or adjusting the boundaries of the relationship classification.

[0138] Based on long-term feedback, it can also be suggested to adjust the sensitivity threshold used for triggering strategies, making the system's warning and intervention trigger points more precise.

[0139] The generated calibration instructions are sent to the model update module of the analysis unit via a secure interface. After receiving the instructions, the analysis unit typically integrates the new parameters and rules into the existing model using incremental learning or batch updates during offline or low-load periods, without interrupting the real-time operation of the system.

[0140] A preferred example of feedback calibration logic includes: The feedback unit uses an incremental learning approach to adjust the weights of the analysis units. Expected - Actual) × X Where: η is the learning rate, which is set to 0.01 by default; Eexpected is the expected target value of the scheme; Eactual is the measured value after implementation; and X is the corresponding feature vector.

[0141] Weight update formula: Wnew = Wold + ΔW When the improvement rate is less than 1% after three consecutive calibrations, the expert review process is triggered. Example 2

[0142] like Figure 2 As shown, the method for ecotourism landscape design in ethnic minority areas includes... The real-time ecological parameter set and cultural activity feature set of the target area are obtained through the data acquisition unit, and the real-time ecological parameter set and the cultural activity feature set are used as the first output data. Through an ecological environment sensing subnetwork deployed at preset geographical nodes, a multi-dimensional real-time ecological parameter set, including soil, meteorological, acoustic, and biological activity signals, is continuously collected; through a low-intrusion cultural perception subnetwork that operates after authorization, a cultural activity feature set is collected in a non-sensitive monitoring mode. The cultural activity feature set includes anonymized spatiotemporal distribution data of the population, specific audio feature data, and traditional production and life path trajectory data.

[0143] Through the community semantic interaction platform, semantically labeled data actively provided by local community users is received and integrated. The semantically labeled data includes descriptions of the cultural significance of a specific geographic space, annotations of traditional ecological knowledge, or annotations of activities and events. Through data fusion processing, the real-time ecological parameter set, the cultural activity feature set, and the semantically labeled data are time-stamped and spatially aligned to generate the first structured output data.

[0144] The analysis unit performs spatiotemporal superposition calculations on the real-time ecological parameter set and the cultural activity feature set to identify the coupling relationship and conflict intensity between the two, and generates index data to characterize the cultural and ecological composite sensitivity of each geographical unit as the second output data. The structured first output data is rasterized according to a unified spatiotemporal grid; spatial overlay analysis and time series correlation analysis are performed on the ecological parameter subset and cultural feature subset within each raster cell to identify the dynamic coupling relationship and conflict intensity between them. Based on the analysis results of the dynamic coupling relationship and conflict intensity, a quantitative cultural and ecological composite sensitivity score is calculated for each grid cell, which serves as the basic unit constituting the index data.

[0145] According to preset rules, the dynamic coupling relationship is divided into different types; For each type of coupling relationship, a sensitivity sub-index is calculated based on its corresponding conflict intensity. The multiple sensitivity sub-indices are weighted and fused using preset weighting coefficients to generate the cultural ecology composite sensitivity index, which serves as the second output data.

[0146] The strategy unit parses the index data and its corresponding coupling relationship type, matches and calls the corresponding landscape control strategy according to the preset threshold rules, and generates design scheme data containing facility layout, implementation sequence and dynamic adjustment instructions as the third output data. In the strategy generation step, when working according to the threshold rule: Preset at least two different sensitivity thresholds; The cultural-ecological composite sensitivity index of each grid cell is compared with the sensitivity threshold; When the index exceeds the first threshold, a flexible guidance strategy for low-intensity conflicts is matched and invoked; When the index exceeds a second threshold that is higher than the first threshold, a collaborative optimization strategy for high-intensity or persistent conflicts is matched and invoked.

[0147] A pre-defined landscape regulation strategy library containing various predefined strategy algorithms corresponding to the types of coupling relationships and conflict intensities is provided. Once it is determined that a certain type of strategy needs to be invoked according to the threshold rule, the corresponding predefined strategy algorithm is selected from the strategy library and executed according to the specific coupling relationship type corresponding to the index data, so as to generate the design scheme data containing specific facility parameters, spatial coordinates and material and construction method requirements.

[0148] Create a multi-layer logical structure for the design scheme data, which includes at least a base layer and at least one timing layer; Define the layout information of permanent or basic landscape facilities in the base layer; Specific time conditions or event triggers are associated in the time sequence layer to define the deployment and recovery time of temporary facilities, seasonal adjustment schemes, or dynamic adjustment instructions in response to specific cultural activities.

[0149] After the design scheme data is received by the feedback unit and implemented, the data acquisition unit collects the feedback parameter set again, and combines it with the design scheme data to calibrate the spatiotemporal superposition calculation rules in the analysis unit.

[0150] Receive and store the design scheme data output by the strategy generation step as a benchmark scheme; receive a set of feedback parameters collected again after the benchmark scheme is implemented, the set of feedback parameters including a subset of ecological parameters and a subset of cultural characteristics after implementation; The feedback parameter set is compared and analyzed with the historical data corresponding to the implementation and the expected goals of the benchmark scheme to generate an effect evaluation result. Based on the effect evaluation results, the rule parameters or weight coefficients on which the spatiotemporal superposition calculation is performed are calibrated.

[0151] It is important to note that the constructions and arrangements of this application shown in several different exemplary embodiments are merely illustrative. Although only two embodiments are described in detail in this disclosure, those who consult this disclosure will readily understand that many modifications are possible without substantially departing from the novel teachings and advantages of the subject matter described in the application. For example, variations in the size, dimensions, structure, shape, and proportions of various elements, as well as parameter values ​​(e.g., temperature, pressure, etc.), mounting arrangements, use of materials, color, orientation, etc. For instance, an element shown as integrally formed may be composed of multiple parts or elements, the position of elements may be inverted or otherwise altered, and the nature or number or position of discrete elements may be changed or altered. Therefore, all such modifications are intended to be included within the scope of the invention. The order or sequence of any process or method steps may be changed or rearranged according to alternative embodiments. Any "device plus function" clause is intended to cover the structure performing the function described herein, and not only structurally equivalent but also equivalent in structure. Other substitutions, modifications, alterations, and omissions may be made in the design, operation, and arrangement of the exemplary embodiments without departing from the scope of the invention. Therefore, the present invention is not limited to the specific embodiments, but extends to various modifications that still fall within the scope of the appended claims.

[0152] Furthermore, in order to provide a concise description of exemplary embodiments, not all features of actual embodiments (i.e., those features that are not relevant to the currently considered best mode for carrying out the invention, or those features that are not relevant to implementing the invention) may be omitted.

[0153] It should be understood that numerous specific implementation decisions can be made during the development of any practical implementation, such as in any engineering or design project. Such development efforts may be complex and time-consuming, but for those of ordinary skill in the art who benefit from this disclosure, the development effort will be a routine task in design, manufacturing, and production without requiring extensive experimentation.

[0154] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. An ecotourism landscape design system for ethnic minority areas, characterized in that, include: The data unit is used to acquire the real-time ecological parameter set and cultural activity feature set of the target area, and uses the real-time ecological parameter set and the cultural activity feature set as the first output data; The analysis unit performs spatiotemporal overlay calculations on the real-time ecological parameter set and the cultural activity feature set, identifies the coupling relationship and conflict intensity between the two, and generates index data to characterize the cultural-ecological composite sensitivity of each geographical unit as the second output data. The strategy unit parses the index data and its corresponding coupling relationship type, matches and calls the corresponding landscape control strategy according to the threshold rules, and generates design scheme data containing facility layout, implementation sequence and adjustment instructions as the third output data; After the feedback unit receives the design scheme data and implements it, the data unit collects the feedback parameter set again and, in conjunction with the design scheme data, calibrates the spatiotemporal superposition calculation rules in the analysis unit.

2. The ecotourism landscape design system for ethnic minority areas according to claim 1, characterized in that: The data unit includes an ecological environment sensing subnet and a low-intrusion cultural perception subnet. The ecological environment sensing subnetwork is deployed at preset geographical nodes in the target area to continuously collect the real-time ecological parameter set in multiple dimensions, including soil, meteorological, acoustic and biological activity signals. The low-intrusion cultural perception subnet is used to collect the cultural activity feature set through a non-sensitive monitoring mode after authorization. The cultural activity feature set includes anonymized spatiotemporal distribution data of the population, specific audio feature data, and traditional production and life path trajectory data.

3. The ecotourism landscape design system for ethnic minority areas according to claim 2, characterized in that: The data unit also includes a community semantic interaction platform; The community semantic interaction platform is used to receive and integrate semantic annotation data actively provided by local community users. The semantic annotation data includes descriptions of the cultural significance of a specific geographic space, annotations of traditional ecological knowledge, or annotations of activities and events. The data unit is equipped with a data fusion processor, which is used to synchronize the real-time ecological parameter set, the cultural activity feature set and the semantic annotation data with timestamps and spatial location alignment to generate the structured first output data.

4. The ecotourism landscape design system for ethnic minority areas according to claim 1, characterized in that: When the analysis unit performs the spatiotemporal overlay calculation, it rasterizes the structured first output data according to a unified spatiotemporal grid. For each raster cell, spatial overlay analysis and time series correlation analysis are performed on the subset of ecological parameters and the subset of cultural features to identify the coupling relationship and conflict intensity between them. Based on the analysis results of the coupling relationship and conflict intensity, a quantitative cultural and ecological composite sensitivity score is calculated for each grid cell, which serves as the basic constituent unit of the index data.

5. The ecotourism landscape design system for ethnic minority areas according to claim 4, characterized in that: When the analysis unit generates the index data, it classifies the coupling relationship into different types according to preset rules; For each type of coupling relationship, a sensitivity sub-index is calculated based on its corresponding conflict intensity. The multiple sensitivity sub-indices are weighted and fused using preset weighting coefficients to generate a cultural ecology composite sensitivity index, which serves as the second output data.

6. The ecotourism landscape design system for ethnic minority areas according to claim 1, characterized in that: When the strategy unit operates according to the threshold rule, it presets at least two different sensitivity thresholds. The cultural-ecological composite sensitivity index of each grid cell is compared with the sensitivity threshold; When the index exceeds the first threshold, a flexible guidance strategy for low-intensity conflicts is matched and invoked; When the index exceeds a second threshold that is higher than the first threshold, a collaborative optimization strategy for high-intensity or persistent conflicts is matched and invoked.

7. The ecotourism landscape design system for ethnic minority areas according to claim 6, characterized in that: The strategy unit is pre-loaded with a landscape regulation strategy library, which contains a variety of strategy algorithms corresponding to the coupling relationship type and conflict intensity. Once the strategy unit determines that a certain type of strategy needs to be invoked based on the threshold rule, it further selects and executes the corresponding predefined strategy algorithm from the strategy library according to the specific coupling relationship type corresponding to the index data, so as to generate the design scheme data containing specific facility parameters, spatial coordinates and material and construction method requirements.

8. The ecotourism landscape design system for ethnic minority areas according to claim 7, characterized in that: When the strategy unit generates the design scheme data containing the implementation timing and adjustment instructions, it creates a multi-layer logical structure for the design scheme data, including a base layer and a timing layer. The base layer contains layout information for permanent or basic landscape facilities; The timing layer is associated with specific time conditions or event triggers to define the deployment and recovery time of temporary facilities, seasonal adjustment plans, or adjustment instructions in response to specific cultural activities.

9. The ecotourism landscape design system for ethnic minority areas according to claim 1, characterized in that: Receive and store the design scheme data output by the strategy unit as a benchmark scheme; The data unit receives a set of feedback parameters after the implementation of the benchmark scheme, the set of feedback parameters including a subset of ecological parameters and a subset of cultural characteristics after implementation; The feedback parameter set is compared and analyzed with the historical data corresponding to the implementation and the expected goals of the benchmark scheme to generate an effect evaluation result. Based on the effect evaluation results, the rule parameters or weight coefficients used in the analysis unit to perform spatiotemporal superposition calculations are calibrated, and calibration instructions are output to the update interface of the analysis unit.

10. A method for designing ecotourism landscapes in ethnic minority areas, characterized in that... Includes an ecotourism landscape design system for ethnic minority areas as described in any one of claims 1-9; wherein: S1. Collect real-time ecological parameter sets and cultural activity feature sets of the target area; S2. Perform spatiotemporal correlation analysis on the real-time ecological parameter set and the cultural activity feature set, identify the dynamic coupling relationship between the two and generate a cultural ecology composite sensitivity index. S3. Based on the value of the cultural ecology composite sensitivity index and its corresponding coupling relationship type, match and generate a landscape design scheme containing temporal adjustment instructions. S4. Based on the feedback data collected again after the implementation of the landscape design scheme, the rules of the spatiotemporal correlation analysis are dynamically calibrated.

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