Landscaping maintenance evaluation method and system

Abstract

The invention relates to the field of greening maintenance, in particular to an assessment method and system for landscaping maintenance. The method comprises the steps that a target garden design feature information set is acquired, a design theme is analyzed according to the target garden design feature information set, and a cultural symbol specification library is generated; acquiring a plant community data set, analyzing plant color features and plant variety symbol semantics according to the plant community data set and the culture symbol standard library, and generating a plant-theme symbol matching degree; according to the target garden design feature information set and the plant-theme symbol matching degree, evaluating the visual suitability and symbol coordination of the plant and the building, and generating a building-plant adaptation set; according to the building-plant adaptation set, style contradiction focus analysis is carried out, a theme suitability evaluation report is generated, and maintenance optimization suggestions are provided. In the vegetation greening maintenance process, maintenance resource mismatching is reduced, and cultural cognition deviation is relieved.

Description

Technical Field

[0001] This application relates to the field of greening maintenance, and in particular to an assessment method and system for garden greening maintenance. Background Technology

[0002] In the key areas of inheriting historical culture and improving the ecological quality of urban and rural areas, the refined assessment technology of garden and greening maintenance has become the core support for maintaining the artistic value of classical gardens and ensuring the sustainability of landscapes. It determines the accuracy of cultural symbol expression and the integrity of ecological service functions, and directly affects the effectiveness of cultural heritage protection, cultural tourism economic value and the level of urban biodiversity.

[0003] However, existing garden maintenance assessment methods are insufficient to quantify the semantic conflict between plant cultural symbols and architectural functional requirements in the diagnosis of landscape harmony with multicultural themes. This leads to the continuous accumulation of hidden dangers such as fragmentation of landscape style and distortion of cultural expression. This not only causes misallocation of maintenance resources and damage to historical features, but may also lead to cultural cognitive bias and devaluation of heritage value. Summary of the Invention

[0004] This application provides an assessment method and system for landscaping maintenance to solve the aforementioned technical problems.

[0005] Firstly, this application provides an assessment method for the maintenance of landscaping and green spaces, the method comprising: The process involves: acquiring a target garden design feature information set; analyzing the design theme based on this set to generate a cultural symbol norms library; acquiring a plant community dataset; analyzing plant color characteristics and plant species symbol semantics based on the dataset and the library to generate a plant-theme symbol matching degree; evaluating the visual compatibility and symbolic harmony between plants and architecture based on the target garden design feature information set and the plant-theme symbol matching degree to generate an architecture-plant compatibility set; and conducting style conflict focus analysis based on the architecture-plant compatibility set to generate a theme compatibility assessment report and provide maintenance optimization suggestions.

[0006] Through the above technical solutions, target garden design data is collected, design themes are analyzed, and corresponding cultural symbols, connotations, and visual requirements are identified to form a cultural symbol standard library. On-site surveys and maintenance records are integrated to establish a plant community dataset, analyzing plant colors and symbolic semantics, and generating plant-theme symbol matching degrees against the standard library. Architectural features are extracted, and combined with plants of high matching degrees, their visual and symbolic harmony with the architecture is assessed to form an architecture-plant adaptation set. From the adaptation set, conflicting points are selected, their manifestations and impacts are analyzed, a theme adaptability assessment report is written, and targeted maintenance optimization suggestions are provided to staff to improve the adaptability of plants, architecture, and the theme. For garden greening maintenance, by establishing cultural benchmarks, a deep fit between plants and design themes is ensured, strengthening the accurate transmission of cultural connotations; the stylistic disconnect between plants and architecture is resolved, enhancing the overall landscape harmony and aesthetic value; maintenance shifts from generalized upkeep to precise optimization, specifically repairing contradictions in theme expression, extending the cultural lifespan of the garden, and enabling the garden to continuously convey the core connotations of the design theme while maintaining its ecological functions.

[0007] Optionally, the step of parsing the design theme and generating a cultural symbol norms library based on the target garden design feature information set includes: the target garden design feature information set includes original design drawings, design concept explanation text, and garden architectural features; extracting spatial effect symbols based on the original design drawings, and simultaneously analyzing semantic theme symbols in the design concept explanation text to generate an initial symbol set; based on the initial symbol set, associating it with a preset cultural symbol mapping dictionary, semantically strengthening and assigning cultural weights to the initial symbol set to generate the cultural symbol norms library including a mandatory symbol list, a recommended symbol list, and a taboo symbol list; the mandatory symbol list includes core plants or buildings that must conform to the garden theme; the recommended symbol list includes core plants or buildings that can enhance the garden theme but are not essential; and the taboo symbol list includes plants or buildings that are absolutely prohibited from appearing in the garden theme.

[0008] Optionally, the step of analyzing plant color features and plant species symbol semantics based on the plant community dataset and the cultural symbol specification library to generate a plant-theme symbol matching degree includes: the plant community dataset includes a plant color dataset and a plant species dataset; based on the plant color dataset, extracting the main hue and saturation change features of the plant community according to the season to generate a plant color feature map with spatiotemporal coordinates; based on the plant species dataset, matching each plant species with the symbol definitions in the cultural symbol specification library to generate a plant species symbol semantic set; comparing the plant color feature map with the color symbol requirements analyzed in the cultural symbol specification library, and verifying the consistency of the plant species symbol semantic set with the species symbols in the cultural symbol specification library; and quantifying the symbol matching degree between the plant color feature map and the plant species symbol semantic set based on the color symbol requirements and the species symbol consistency to generate the plant-theme symbol matching degree including conflict level.

[0009] Optionally, the step of extracting the dominant hue and saturation variation features of plant communities according to the season based on the plant color dataset and generating a plant color feature map with spatiotemporal coordinates includes: analyzing the temporal color records in the plant color dataset, wherein the temporal color records are used to characterize the color display feature data of plant communities under different seasons; dividing the plant communities into color display areas based on the temporal color records to generate a set of garden plant color display areas; identifying the main color display area in each color display area in the single-season data according to the set of garden plant color display areas, and extracting the dominant hue with a coverage exceeding a preset dominant color threshold as the seasonal dominant hue of the color display area; tracking the continuous evolution of saturation in the same color display area in the four seasons to generate a smooth transition saturation change curve; and mapping the dominant hue and its saturation curve according to the smooth transition saturation change curve, with the season as the time axis unit and the main color display area of ​​the garden as the spatial axis unit, to generate the plant color feature map that integrates the spatiotemporal dimension and the color evolution law.

[0010] Optionally, the step of matching each plant species with the symbol definitions in the cultural symbol specification library based on the plant species dataset to generate a plant species symbol semantic set includes: extracting plant species identifiers for each plant based on the plant species dataset; based on the plant species identifiers, traversing the mandatory symbol list, the recommended symbol list, and the taboo symbol list in the cultural symbol specification library, removing plants that match the taboo symbol list, and generating a set of plants that meet the requirements; analyzing the historical allusions of each plant species based on the set of plants that meet the requirements, and generating a set of cultural potential semantics for each plant; performing semantic depth matching between the set of cultural potential semantics and the symbol definitions, identifying symbol weight priorities, and generating a set of plant species symbol semantics that includes symbol meaning and weight level.

[0011] Optionally, the step of evaluating the visual adaptability and symbolic harmony between plants and buildings based on the target garden design feature information set and the plant-theme symbol matching degree, and generating a building-plant adaptation set, includes: extracting the garden building features based on the target garden design feature information set, and analyzing the building function type and form characteristics; matching the cultural symbol standard library based on the building function type and form characteristics to generate a building symbol carrying requirement set; comparing the plant color feature spectrum with the building material color system to detect seasonal hue conflicts and generate a visual conflict index; comparing the plant species symbol semantic set with the building symbol requirements to identify semantic contradictions and generate a symbol harmony index; and generating the building-plant adaptation set with priority labels based on the visual conflict index and the symbol harmony index.

[0012] Optionally, the step of comparing the plant color feature map with the building material color system to detect seasonal hue conflicts and generate a visual conflict index includes: extracting the inherent base hue of the building material for each building based on the garden building features; extracting the seasonal dominant hue and duration of each main color display zone of the garden based on the plant color feature map; comparing the seasonal dominant hue of each main color display zone with the base hue of the building material of the buildings within the zone to identify whether there is a visual disharmony caused by the hue ring position tending to a preset angle, and if so, defining it as a seasonal hue conflict instance; analyzing the visual abruptness and conflict duration of the seasonal hue conflict instance to obtain the conflict intensity level and influence cycle of each seasonal hue conflict instance; and weighting the conflict intensity level and influence cycle corresponding to the seasonal hue conflict instance by preset zone importance to generate the visual conflict index that comprehensively reflects the severity of the visual conflict between the plant and building colors in each main color display zone.

[0013] Optionally, the step of comparing the semantic set of plant species symbols with the architectural symbol requirements, identifying semantic contradictions, and generating a symbol coordination index includes: performing a three-layer quantity verification based on the semantic set of plant species symbols and the cultural symbol standard library: detecting whether the plants surrounding each building cover all items in the mandatory symbol list and counting the number of mandatory symbols; verifying the consistency between the number of garden plant symbols that fit and the recommended symbol list, and determining the recommended quantity ratio; comparing the semantic set of plant species symbols with the list of prohibited symbols, and marking the number of completely matching prohibited conflict items; and adjusting the product of the number of mandatory symbols and the unit score. Increase the base score; deduct the base score based on the product of the number of taboo conflict items and the unit adjustment score; determine the recommended symbol matching rate based on the proportion of recommended items, and further adjust the current base score based on the recommended symbol matching rate by increasing it proportionally according to a third preset weight value, and use the adjusted base score as the base coordination score; divide concentric ring areas with increasing radii around the center of each building, and generate a spatial attenuation coefficient by gradient decay of the semantic influence of plant symbols on the building as the distance from the center increases; use the product of the base coordination score and the spatial attenuation coefficient as the symbol coordination index of the individual plant.

[0014] Optionally, the step of analyzing style conflict focal points based on the building-plant compatibility set, generating a theme compatibility assessment report, and providing maintenance optimization suggestions includes: determining the garden vegetation compatibility score based on the visual conflict index and the symbol coordination index, and identifying the areas with garden vegetation compatibility scores below a preset score threshold as style conflict focal points; analyzing the causes of conflict and seasonal evolution patterns based on the style conflict focal points, and generating a theme compatibility assessment report containing the garden vegetation compatibility score and conflict details; and providing maintenance optimization suggestions, including adjusting plant layout or replacing prohibited plants, based on the theme compatibility assessment report.

[0015] Secondly, this application provides an assessment system for landscaping maintenance, the system comprising: The theme analysis module is used to acquire a target garden design feature information set, analyze the design theme based on the target garden design feature information set, and generate a cultural symbol standard library; the feature matching module is used to acquire a plant community dataset, analyze plant color characteristics and plant species symbol semantics based on the plant community dataset and the cultural symbol standard library, and generate a plant-theme symbol matching degree; the adaptation evaluation module is used to evaluate the visual adaptability and symbolic harmony between plants and buildings based on the target garden design feature information set and the plant-theme symbol matching degree, and generate a building-plant adaptation set; the conflict report module is used to analyze style conflict focus based on the building-plant adaptation set, generate a theme adaptability evaluation report, and provide maintenance optimization suggestions. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 This is a schematic diagram illustrating an application scenario provided in one embodiment of this application; Figure 2 A flowchart illustrating an assessment method for landscaping maintenance provided in one embodiment of this application; Figure 3 This is a schematic diagram of the structure of an assessment system for landscaping maintenance provided in one embodiment of this application. Detailed Implementation

[0018] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.

[0019] Furthermore, the term "and / or" in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, the character " / " in this article, unless otherwise specified, generally indicates that the preceding and following related objects have an "or" relationship.

[0020] The embodiments of this application will now be described in further detail with reference to the accompanying drawings.

[0021] Existing garden maintenance assessment methods are insufficient to quantify the semantic conflict between plant cultural symbols and architectural functional requirements in the diagnosis of landscape harmony with multicultural themes. This leads to the continuous accumulation of hidden dangers such as fragmentation of landscape style and distortion of cultural expression. This not only causes misallocation of maintenance resources and damage to historical features, but may also lead to cultural cognitive bias and devaluation of heritage value.

[0022] Based on this, this application provides an assessment method and system for landscape greening maintenance. The method involves collecting target landscape design data, analyzing the design theme, and identifying corresponding cultural symbols, connotations, and visual requirements to form a cultural symbol norm library. On-site surveys and integration of maintenance records are conducted to establish a plant community dataset. Plant colors and symbolic semantics are analyzed, and the plant-theme symbol matching degree is generated by comparing with the norm library. Architectural features are extracted, and combined with plants of high matching degree, their visual and symbolic harmony with the architecture is assessed to form an architecture-plant fit set. From the fit set, conflicting points are selected, their manifestations and impacts are analyzed, a theme fit assessment report is written, and targeted maintenance optimization suggestions are provided to staff to improve the fit between plants, architecture, and the theme. For landscape greening maintenance, by establishing cultural benchmarks, a deep fit between plants and the design theme is ensured, strengthening the accurate transmission of cultural connotations; resolving the stylistic disconnect between plants and architecture, improving the overall landscape harmony and aesthetic value; shifting maintenance from generalized maintenance to precise optimization, specifically repairing contradictions in theme expression, extending the cultural lifespan of the landscape, and enabling the landscape to continuously convey the core connotations of the design theme while maintaining its ecological functions.

[0023] Figure 1 This is a schematic diagram illustrating an application scenario provided by this application. In vegetation and greening maintenance, the method provided in this application can quantify the semantic conflict intensity between plant cultural symbols and architectural functional requirements, preventing the continuous accumulation of hidden dangers such as landscape style fragmentation and cultural expression distortion. This not only reduces the misallocation of maintenance resources and damage to historical features, but also alleviates cultural cognitive biases and the depreciation of heritage value.

[0024] Specifically, the method of this application is applied to any server that communicates with the construction unit's historical database and plant atlas database. Through this server, it obtains the target garden design feature information set provided by the construction unit's historical database and the plant community dataset provided by the plant atlas database. It collects target garden design data, analyzes the design theme, and sorts out the corresponding cultural symbols, connotations, and visual requirements to form a cultural symbol standard library. Through on-site surveys and integration of maintenance records, it establishes a plant community dataset, analyzes plant colors and symbolic semantics, and generates plant-theme symbol matching degrees by comparing them with the standard library. It extracts architectural features, combines them with plants of high matching degrees, and evaluates their visual and symbolic harmony with the architecture to form an architecture-plant adaptation set. From the adaptation set, it selects conflicting points, analyzes their manifestations and impacts, writes a theme adaptability assessment report, and outputs targeted maintenance optimization suggestions to staff to improve the adaptability of plants, architecture, and the theme.

[0025] For specific implementation details, please refer to the following examples.

[0026] Figure 2 This is a flowchart illustrating an assessment method for landscaping maintenance according to an embodiment of this application. The method of this embodiment can be applied to the server in the above scenario. For example... Figure 2 As shown, the method includes: S201. Obtain the target garden design feature information set, analyze the design theme based on the target garden design feature information set, and generate a cultural symbol standard library.

[0027] The target garden design feature information set can be a collection of information reflecting the core elements of the target garden design, including original design drawings, design concept explanation texts, and garden architectural features, with data sourced from the construction unit's historical database. The cultural symbol standard library can be a mandatory set of standards for cultural symbols, including a list of required symbols, a list of recommended symbols, and a list of prohibited symbols.

[0028] Specifically, existing landscape greening maintenance assessments have significant limitations: most assessments focus only on plant growth status (such as survival rate, pest and disease incidence, and pruning neatness), neglecting the cultural compatibility of plants with the landscape design theme. The core value of a landscape lies not only in its aesthetic appeal but also in its expressive function as a cultural carrier—the design theme is the "soul" of the landscape. If plant selection and layout are disconnected from the theme during maintenance, it will lead to a weakening of the landscape's cultural connotation and a chaotic style. For example, a landscape themed around "Dragon Boat Culture" initially used plants such as calamus and mugwort, but later replaced them with ordinary lawns for ease of management, resulting in the disappearance of the theme symbol and the loss of its cultural expression function. This step collects design data for the target landscape, clarifies the landscape's design theme through text analysis and symbol extraction, then, based on the design theme, consults relevant cultural literature to sort out the core cultural symbols corresponding to the theme, the symbolic meaning of the symbols, and the visual presentation requirements; finally, this information is systematically organized to form a cultural symbol norms library, serving as a reference standard for subsequent assessments. By analyzing the design theme and generating a cultural symbol norm library, a "cultural benchmark" is established for subsequent evaluation, ensuring that maintenance work does not deviate from the core cultural positioning of the garden and avoiding the problem of "emphasizing growth while neglecting connotation" from the source.

[0029] S202. Obtain the plant community dataset. Based on the plant community dataset and the cultural symbol standard library, analyze the plant color characteristics and plant species symbol semantics to generate plant-theme symbol matching degree.

[0030] Plant community datasets can be comprehensive collections of information on existing plants in a target garden, including plant color datasets and plant species datasets, sourced from plant atlas databases. Plant species symbolic semantics refers to the symbolic meaning attributed to a specific plant species within a cultural context, representing a core attribute of plants as cultural symbols. Plant-theme symbol matching degree measures the degree of fit between the color characteristics and symbolic semantics of existing plants and the theme symbols in a cultural symbol normative library; it is an indicator that quantifies the matching between plants and the design theme (e.g., "high matching," "medium matching," "low matching").

[0031] Specifically, plants are the primary expressers of garden cultural themes, and their colors and symbolic meanings directly affect the effectiveness of theme transmission. However, in existing assessments, plant selection is often based on practical factors such as "easy to maintain" and "high survival rate," neglecting their cultural symbolic attributes. This leads to a "cultural mismatch" between plants and the theme. For example, a garden designed with a "wedding theme" requires a "romantic and festive" theme, but due to cost considerations, a large number of white chrysanthemums are planted during maintenance, causing visitors to feel emotionally uncomfortable, violating the theme positioning, and resulting in a deviation in cultural expression. This step establishes a plant community dataset, clarifying the species, color characteristics, and growth status of each plant; it compares the data with a cultural symbol normative library to extract the "core color requirements" (e.g., a "festive theme" requires predominantly warm colors) and "core symbolic semantics" (e.g., a "love theme" requires plants symbolizing fidelity); it analyzes each plant in the dataset: determining whether its color meets the theme color requirements, interpreting its symbolic semantics in the cultural context, and comparing it with the theme symbols in the normative library; and it generates a "plant-theme symbol matching degree" for each plant by comprehensively considering the degree of color and semantic fit. By analyzing the color characteristics and symbolic semantics of plants, a matching index can be generated to accurately identify the degree of fit between plants and the theme, providing a basis for subsequent adjustments and ensuring that plants truly become an "effective carrier" of the theme, avoiding the misuse or omission of cultural symbols.

[0032] S203. Based on the target garden design feature information set and the plant-theme symbol matching degree, evaluate the visual compatibility and symbolic harmony between plants and buildings, and generate a building-plant compatibility set.

[0033] The architecture-plant fit set can be a collection of evaluation results recording the visual fit and symbolic harmony between various buildings in a garden and their surrounding plants.

[0034] Specifically, a garden is an organic whole of plants and architecture, and the harmony and unity between the two is key to the expression of the theme. However, existing assessments often view plants or architecture in isolation, ignoring the interaction between the two, leading to the problem of "separation between plants and architecture": either the plant form is mismatched with the scale of the building (such as tall trees obscuring exquisite pavilions), or there is a conflict in symbolic meaning (such as planting relatively messy plants next to buildings with serious historical significance), which destroys the unity of the overall style of the garden. For example, the core building of a certain Chinese garden is a pavilion with "flying eaves and upturned corners" (embodying a light and agile aesthetic), but the surrounding area is planted with thick and dense banyan trees, which obscures the building and makes it look visually oppressive, violating the aesthetic principle of "combining concealment and exposure" in Chinese gardens. Another example is a "industrial heritage" themed garden, where delicate ornamental grasses are planted around the preserved old factory buildings. The two are mismatched in terms of texture and symbolic meaning, weakening the sense of weight of the theme. This step extracts architectural features from the target garden design feature set and combines this with plant-theme symbol matching to select plants with high theme matching; analyzes the visual compatibility of these plants with the buildings: judging whether the plant form is coordinated with the building scale, and whether the plant color is harmonious with the building color; analyzes symbolic harmony: judging whether the symbolic meaning of the plants is consistent with the functional symbolism of the buildings; and compiles the matching results of each building with its surrounding plants into a building-plant matching set. By evaluating the visual and symbolic harmony between plants and buildings, "matching contradictions" can be identified, ensuring that plants and buildings jointly serve the theme expression and avoiding damage to the overall style of the garden due to local disharmony.

[0035] S204. Based on the building-plant adaptation set, conduct style conflict focus analysis, generate a theme adaptability assessment report, and provide maintenance optimization suggestions.

[0036] A theme suitability assessment report can be a comprehensive report reflecting the suitability status of plants, architecture, and design themes in a garden, including the overall suitability level, focal points of style conflicts, and the degree of impact of these conflicts on the theme. Maintenance and optimization recommendations can be improvement measures proposed based on the theme suitability assessment report, including adjusting plant layout or replacing incompatible plants, aiming to resolve focal points of style conflicts and improve the garden's theme suitability.

[0037] Specifically, even after the preceding analysis, local stylistic contradictions may still exist in the garden. If these contradictions are not identified and resolved, they will become weaknesses in the expression of the theme, leading to an inconsistent overall garden style and unclear cultural transmission. Existing maintenance and optimization often remain at the level of "ensuring plant survival" (such as watering, fertilizing, and pest control), lacking adjustment suggestions for "cultural adaptation," making it difficult to fundamentally resolve stylistic contradictions. For example, in a landscape with a "Jiangnan garden" theme, the plants and buildings are well-matched in most areas, but a banana plant with Jiangnan characteristics is planted next to a Western-style fountain in a corner, forming a focal point of contradiction of "Chinese and Western mix." Although it does not affect plant growth, it destroys the integrity of the Jiangnan garden. Another example is a "children's playground" themed garden, where the core building is cartoon-shaped, but thorny roses are planted around it, which not only poses a safety hazard but also conflicts with the "lively and friendly" theme. This step involves selecting cases from the architecture-plant compatibility analysis, analyzing the specific manifestations of contradictions one by one, and determining the locational importance of the contradiction focal points and their impact on thematic expression. Based on the contradiction analysis, a thematic compatibility assessment report is written, systematically presenting the overall compatibility of the garden, its advantageous areas, and its main contradictions. For each contradiction focal point, actionable maintenance and optimization suggestions are proposed and distributed to staff. By analyzing stylistic contradiction focal points, generating reports, and providing optimization suggestions, maintenance work can shift from "passive maintenance" to "proactive optimization," accurately addressing key issues affecting thematic expression, and ensuring the consistency of garden style and the effectiveness of cultural transmission.

[0038] This embodiment collects target garden design data, analyzes the design theme, and organizes corresponding cultural symbols, connotations, and visual requirements to form a cultural symbol standard library. On-site surveys and maintenance records are integrated to establish a plant community dataset. Plant colors and symbolic semantics are analyzed, and the plant-theme symbol matching degree is generated by comparing with the standard library. Architectural features are extracted, and combined with plants of high matching degree, their visual and symbolic harmony with the architecture is evaluated to form an architecture-plant adaptation set. From the adaptation set, conflicting points are selected, their manifestations and impacts are analyzed, a theme adaptability assessment report is written, and targeted maintenance optimization suggestions are provided to staff to improve the adaptability of plants, architecture, and the theme. For garden greening maintenance, by establishing cultural benchmarks, a deep fit between plants and the design theme is ensured, strengthening the accurate transmission of cultural connotations; the stylistic disconnect between plants and architecture is resolved, improving the overall landscape harmony and aesthetic value; maintenance shifts from generalized maintenance to precise optimization, specifically repairing contradictions in theme expression, extending the cultural lifespan of the garden, and enabling the garden to continuously convey the core connotations of the design theme while maintaining its ecological functions.

[0039] In some embodiments, the target garden design feature information set includes original design drawings, design concept explanation text, and garden architectural features; spatial effect symbols are extracted based on the original design drawings, and semantic theme symbols in the design concept explanation text are analyzed to generate an initial symbol set; based on the initial symbol set, a preset cultural symbol mapping dictionary is associated to semantically strengthen and assign cultural weights to the initial symbol set, generating a cultural symbol normative library including a mandatory symbol list, a recommended symbol list, and a taboo symbol list; the mandatory symbol list includes core plants or buildings that must conform to the garden theme; the recommended symbol list includes core plants or buildings that can enhance the garden theme but are not essential; the taboo symbol list includes plants or buildings that are absolutely prohibited from appearing in the garden theme.

[0040] Original design drawings can refer to planning drawings created by landscape architects, including garden layout, plant configuration, building distribution, and landscape nodes. Design concept explanation texts can refer to written descriptions by the designer or design team of the garden design theme, cultural connotations, and design intentions. Garden architectural features can refer to identifiable characteristics of buildings in the garden, such as style (e.g., Chinese, European), material (e.g., wood, stone), and form (e.g., pavilions, waterside terraces, corridors). Spatial effect symbols can be visual symbols extracted from the original design drawings that reflect the garden's spatial layout and landscape atmosphere (e.g., "symmetrical layout" symbolizes "solemnity," "winding paths leading to secluded spots" symbolizes "seclusion"). Semantic theme symbols can be conceptual symbols extracted from the design concept explanation text that embody the garden's theme and connotations. The initial symbol set can be a preliminary set of symbols formed by integrating spatial effect symbols and semantic theme symbols, used to temporarily store all potential symbolic elements extracted from the target garden design feature information set. The cultural symbol mapping dictionary can be a pre-constructed database containing cultural symbols (e.g., plants, buildings, patterns) and their corresponding symbolic meanings and cultural weights. The list of essential symbols can be a list of plants or buildings that must be present in the garden to support the core theme. The list of recommended symbols can be a list of plants or buildings that can enhance the expression of the theme but are not essential. The list of forbidden symbols can be a list of plants or buildings that conflict with the garden theme and are absolutely prohibited from appearing.

[0041] Specifically, as a cultural carrier, the clear expression of a garden's design theme and the consistency of its cultural symbolism are core standards for evaluating its quality. The necessity of this process lies in the following aspects: First, relying solely on subjective judgment without analyzing the symbols through the target garden's design feature information set can lead to biased interpretation of the theme. For example, the original design drawings of a "Jiangnan water town" themed garden contain spatial symbols such as "awning boats" and "stone bridges," and the design concept emphasizes "living by the water." Skipping symbol extraction might lead to a misinterpretation of the theme as an "ordinary waterscape garden," losing sight of the core "water town culture." By extracting spatial effect symbols and semantic theme symbols, the theme can be accurately anchored. First, the core elements of the theme should be carefully considered to avoid misinterpretation. Second, the symbolic meaning of garden symbols is culturally dependent. If they are not associated with a pre-set cultural symbol mapping dictionary, the use of symbols may conflict with the cultural context. For example, if a "Zen" garden mistakenly uses "peony," it will disrupt the theme's harmony. By strengthening the semantics of the cultural dictionary, the cultural compatibility of symbols can be clarified, avoiding misuse of cultural symbols. Third, in garden maintenance, if operations such as plant replacement and building repairs are deviated from the theme's constraints, they will gradually diminish the design theme. For example, in a "pine, bamboo, and plum" themed garden, if "plum trees" are mistakenly replaced with "peach trees" (which have no corresponding symbolic meaning) during maintenance, it will weaken the theme expression of the "Three Friends of Winter." To address the above issues, this step first extracts key morphological features from the original design drawings using spatial topology analysis tools to generate spatial effect symbols (e.g., identifying "central axis symmetry layout"). Simultaneously, natural language processing technology is used to semantically segment the design concept text, extracting high-frequency keywords to generate semantic theme symbols (e.g., "simplicity" and "nature"). Then, the two types of symbols are merged, and redundant items are removed to form an initial symbol set (e.g., {winding path, bamboo grove, plain paving}). Next, a pre-set cultural symbol mapping dictionary is used for semantic enhancement (e.g., mapping "bamboo grove" to "literati spirit"), and cultural weights are assigned based on historical weight coefficients (e.g., assigning a weight of 0.95 to bamboo grove). Finally, a standard library is automatically generated based on weight thresholds: the mandatory symbol list includes core symbols with a weight ≥ 0.9 (e.g., bamboo grove with a weight of 0.95), the recommended symbol list includes auxiliary symbols with a weight ≤ 0.6 and a weight < 0.9 (e.g., bluestone path with a weight of 0.7), and the prohibited symbol list includes symbols with a weight = 0 or conflicting symbols (e.g., European-style wrought iron pavilion with a weight of 0).

[0042] By utilizing the method provided in this embodiment, precise symbol extraction and association with cultural dictionaries are employed to ensure that the symbolic meanings of plants and buildings in the garden are highly consistent with the design theme, avoiding cultural conflicts or thematic ambiguity and strengthening the cultural consistency of the garden theme. The classification of mandatory symbol lists, recommended symbol lists, and forbidden symbol lists provides clear standards for maintenance: mandatory elements must be retained, recommended elements can be selectively enhanced, and forbidden elements are absolutely prohibited from being introduced, ensuring that maintenance operations are consistent with the theme.

[0043] In some embodiments, the plant community dataset includes a plant color dataset and a plant species dataset. Based on the plant color dataset, the dominant hue and saturation variation features of the plant community are extracted according to the season to generate a plant color feature map with spatiotemporal coordinates. According to the plant species dataset, the symbol definitions of each plant species are matched with those in the cultural symbol specification library to generate a plant species symbol semantic set. The plant color feature map is compared with the color symbol requirements analyzed in the cultural symbol specification library, and the consistency of the plant species symbol semantic set with the species symbols in the cultural symbol specification library is verified. Based on the color symbol requirements and the consistency of species symbols, the symbol matching degree of the plant color feature map and the plant species symbol semantic set is quantified to generate a plant-theme symbol matching degree including conflict level.

[0044] A plant color dataset can be a subset of a dataset recording the color attributes of plants at different growth stages and in different seasons, mainly including color information of organs such as leaves, flowers, and fruits. A plant species dataset can be a subset of a dataset recording basic information about all plant species in a garden, including the scientific name, growth habits, and morphological characteristics of the plants. A plant color feature atlas can be a visual chart with spatiotemporal coordinates, where the "time coordinate" is the season (e.g., spring, summer, autumn, winter) and the "spatial coordinate" is a specific area within the garden (e.g., entrance area, central square, water feature area), used to visually display the changes in the dominant hue and saturation of plants under different time and space conditions. A plant species symbol semantic set can be a semantic set formed by matching the plant species dataset with a cultural symbol standard library, recording the symbolic meaning of each plant and whether that meaning conforms to the definition in the standard library. Color symbol requirements can be the explicit regulations on plant colors in the cultural symbol standard library, used to ensure the visual harmony between plant colors and the garden theme. Species symbol consistency can be the degree of conformity between the symbolic meaning of a plant species and the corresponding symbol definition in the cultural symbol standard library, used to determine whether the plant species can accurately convey the theme's connotation.

[0045] Specifically, as a spatial carrier of cultural connotations and visual art, the core value of gardens lies not only in the growth state of plants, but also in conveying specific cultural meanings and aesthetic experiences through the resonance between plants and the theme. Plant colors have significant seasonality and growth cycle (e.g., tender green when sprouting in spring, golden yellow when falling leaves in autumn, vibrant colors when flowers bloom, and muted colors after withering), while garden themes are usually stable (e.g., themes such as "Autumn Thoughts" or "Plum Blossom, Orchid, Bamboo, and Chrysanthemum" need to maintain their core connotations over a long period). Without a systematic analysis of plant color characteristics, the problem of "seasonal colors deviating from the theme requirements" may occur. For example, the theme of "Winter Serenity" requires elegant colors such as "white, gray, and brown" as the main colors. If a large number of red flowers are planted in winter, it will destroy the sense of tranquility of the theme. By extracting color feature maps with spatiotemporal coordinates, the matching of color changes with the theme can be dynamically tracked, avoiding the discontinuity of seasonal theme expression. Different plants have conventional symbolic meanings in cultural contexts. This meaning is the "implicit language" of garden theme expression. If the symbolic meaning of plant species conflicts with the theme, it will directly distort the cultural connotation of the garden. To address the above issues, this step first involves dividing the plant color dataset within the plant community dataset into seasonal periods (e.g., spring, summer), and using cluster analysis to extract the dominant hues for each season (e.g., the three most frequently occurring hue values, such as the hue range of 115 to 125 degrees in spring) and their saturation fluctuation ranges (e.g., 70% to 85% saturation), generating a plant color feature map with spatiotemporal coordinates. Simultaneously, based on the plant species dataset, each plant species is semantically matched against a cultural symbol specification library to generate a plant species symbol semantic set. Then, a dual comparison verification is performed: firstly, comparing the hue / saturation in the map (e.g., detecting the dominant hue of autumn at 125 degrees) with the color symbol requirements of the cultural symbol specification library (e.g., the theme requires warm colors ≤ 60 degrees), recording the deviation values; secondly, verifying whether the semantic set meets the requirements. The system ensures a full match on the mandatory list, zero occurrences on the prohibited list, and a minimum coverage rate on the recommended list (e.g., no less than 30%). Based on this, the symbol matching degree is quantified: color matching degree is calculated by combining the proportion of hues conforming to the specifications (e.g., 70% weight) and the saturation compliance rate (e.g., 30% weight). Category matching degree is obtained by weighting the mandatory symbol implementation rate (e.g., 50% weight), the recommended symbol coverage rate (e.g., 30% weight), and the prohibited symbol occurrence rate (e.g., 20% deduction). Finally, the total matching degree (e.g., 82.5 points) is obtained by combining the two values. At the same time, the system classifies the levels according to the conflict judgment rules (e.g., the presence of prohibited plants is judged as a serious conflict, and a deviation of more than 30% in the main hue, such as 125 degrees vs. the requirement of 60 degrees, is a moderate conflict). The final output is a structured report containing the matching degree value, the conflict level (e.g., "moderate conflict"), and detailed diagnostic items.

[0046] By dynamically tracking the spatiotemporal changes in plant colors and the symbolic meanings of plant species, this embodiment ensures that plants accurately convey the garden theme in different seasons and regions. It avoids thematic ambiguity caused by color discontinuities or species conflicts, enabling a stable and clear expression of the garden's cultural connotations and enhancing the accuracy and continuity of the garden's theme expression. The visual coordination between color and theme enhances the aesthetic experience of the garden, while the consistency between the symbolic meanings of plant species and the theme strengthens the cultural dissemination function. Together, these two aspects upgrade the garden from a "collection of plants" to a cultural space "with stories and aesthetic appeal," better meeting people's spiritual needs for gardens.

[0047] In some embodiments, the temporal color records in the plant color dataset are analyzed. These temporal color records are used to characterize the color display features of plant communities under different seasons. Based on the temporal color records, the plant communities are divided into color display regions to generate a set of garden plant color display regions. According to the set of garden plant color display regions, the main color display areas in each color display region in the single-season data are identified, and the dominant hue with a coverage exceeding a preset dominant color threshold is extracted as the seasonal dominant hue of the color display region. The continuous evolution of saturation in the same color display region throughout the four seasons is tracked to generate a smooth transition saturation change curve. Based on the smooth transition saturation change curve, the dominant hue and its saturation curve are mapped with the season as the time axis unit and the main color display region of the garden as the spatial axis unit to generate a plant color feature map that integrates the spatiotemporal dimension and the color evolution law.

[0048] Temporal color records can be a core component of plant color datasets, used to characterize the color characteristics (e.g., leaf color, flower color, fruit color) of plant communities in different seasons (e.g., spring, summer, autumn, winter). A set of color-displaying regions for garden plants can be a collection of regions formed after dividing the color-displaying areas, with each region corresponding to a subspace in the garden with a unique color-displaying pattern. A continuous evolution pattern of saturation can be the trend of color saturation in the same color-displaying area changing over time in the four seasons (e.g., saturation increases in spring and decreases in autumn). A smooth transition saturation change curve can be a curve formed after processing the continuous evolution pattern of saturation, used to eliminate short-term fluctuations and present the overall trend.

[0049] Specifically, the colors of garden plants are not fixed but change significantly with the seasons (e.g., maple leaves are green in spring and red in autumn, cherry blossoms are pink and white in spring and green in summer). Furthermore, the color change patterns of plants vary in different areas within the same garden (e.g., plants in low-lying areas and those in high-lying areas show different colors due to differences in light and humidity). If evaluations are based solely on color data from a single point in time or a single area, the understanding of plant color characteristics will be one-sided and will fail to reflect their true visual effect. At the same time, the "plant-theme symbol matching degree" needs to combine plant color characteristics with the color symbol requirements of the cultural symbol standard library. Color symbols are often related to the seasons (e.g., a Spring Festival-themed garden needs red flowers in winter to represent celebration; an autumn-themed garden needs yellow and orange plants to echo the harvest). If the dominant hues and change patterns of each season cannot be accurately extracted, the matching between the color symbol requirements and the actual plant colors will deviate. To address the above issues, this step first involves accessing the plant color dataset, grouping the time-series color records by season (e.g., spring, summer, autumn, winter), and removing invalid data due to abnormal lighting conditions (e.g., values ​​collected on cloudy or rainy days). Then, based on the spatial partitioning of the original design drawings, a vegetation cover heatmap from drone aerial photography is overlaid to divide the garden into several color-displaying areas (e.g., flowerbed area A1, tree-lined avenue B2). Next, operations are performed on each color-displaying area in the single-season data: identifying the dominant color-displaying area (e.g., tulip coverage in area A1 reaches 70%), calculating the hue histogram of all plant colors within that area, and determining the hue with coverage exceeding a preset dominant color threshold (e.g., 60%) as the dominant hue for that area's seasonal dominant hue. Afterwards... The saturation data of the same color-producing region in all four seasons are sorted by time series (e.g., spring → summer → autumn → winter). A cubic spline interpolation algorithm is used to fit the curve to ensure the continuity of the derivative at the seasonal transition point, and key inflection points (e.g., summer peak, autumn inflection point) are marked to generate a smooth transition saturation change curve. Finally, a spatiotemporal two-dimensional coordinate system is established, with the seasonal time nodes (e.g., T1 spring, T2 summer, T3 autumn, T4 winter) as the horizontal time axis and the color-producing region number (e.g., A1, B2) as the vertical spatial axis. At each coordinate point (e.g., [T1, A1]), the main hue (e.g., pink), saturation curve function value and its changing trend (e.g., rising, falling or stable) of the region are mapped, thereby generating a plant color feature map that integrates spatiotemporal dimensions and color evolution laws.

[0050] The method provided in this embodiment, through spatiotemporal dual-dimensional analysis, breaks through the limitations of traditional static and local color descriptions, and fully presents the dynamic characteristics of plant colors in different seasons and regions, enabling assessors to fully grasp the visual effects of garden plants; based on the saturation change curve, the evolution trend of plant colors can be predicted, allowing maintenance recommendations to be adjusted in advance to address trends, improving the pertinence and effectiveness of maintenance measures, and ultimately promoting the long-term adaptation of garden visual effects to design themes.

[0051] In some embodiments, plant species identifiers are extracted from the plant species dataset; based on the plant species identifiers, the mandatory symbol list, recommended symbol list, and taboo symbol list in the cultural symbol norms library are traversed, plants that conform to the taboo symbol list are removed, and a set of plants that meet the requirements is generated; based on the set of plants that meet the requirements, the historical allusions of each plant species are analyzed, and a set of cultural potential semantics for each plant is generated; the set of cultural potential semantics is semantically deep matched with the symbol definitions, the symbol weight priority is identified, and a set of plant species symbol semantics containing symbol meaning and weight level is generated.

[0052] The set of plants that meet the requirements can be the set of plants that meet the basic requirements of the theme after removing plants from the plant species dataset that match the list of prohibited symbols.

[0053] Specifically, the cultural theme of a garden is the core soul of its design, and the selection of plants, as an important component of the garden landscape, directly affects the accuracy of the theme's expression. Skipping the step of traversing the cultural symbol norm library and eliminating forbidden plants may result in forbidden plants appearing in the garden, directly damaging the cultural connotation of the theme. At the same time, the cultural symbolic meaning of plants is often not immediately visible, but rather hidden in historical allusions. Without analyzing historical allusions and generating a set of potential cultural semantics, one may judge the matching degree between the plant and the theme solely based on the plant's morphology, ignoring its deeper cultural meaning, leading to a superficial expression of the theme. To address the above issues, this step first extracts standardized plant species identifiers from the plant species dataset. Then, it iterates through the list of taboo symbols in the cultural symbol norms library, removing plants that match the taboos and generating a set of plants that meet the requirements. Next, using plant species identifiers as search keywords, it mines historical semantics from cultural allusion databases (such as *Qunfang Pu* and *Difang Minsu Zhi*) to construct a set of latent cultural semantics for each plant species (e.g., plum blossom associated with allusions like "defying snow and frost" and "five blessings flower"). Finally, it performs semantic similarity matching between the latent cultural semantics set and the symbol definitions in the cultural symbol norms library: symbols that completely match the mandatory list are assigned a mandatory weight (value = 3), symbols that partially match the recommended list are assigned a recommended weight (value = 2), and symbols that do not conflict but do not match are assigned a neutral weight (value = 1). When a single plant contains multiple semantic meanings, the highest weight is used. The final output is a set of plant species symbol semantics with weighted labels.

[0054] By exploring historical allusions and cultural potential semantics, the symbolic meaning of plants is extended from their surface form to their deeper cultural connotations, enhancing the spiritual compatibility between plants and the theme and making the cultural theme expression of the garden more profound and impactful. The generated set of symbolic semantics for plant species quantifies the symbolic association between plants and the theme into "symbolic meaning" and "weight level," providing operable basic data for subsequent evaluation of the symbolic harmony between plants and architecture and the generation of theme suitability reports, making the evaluation results more scientific and objective.

[0055] In some embodiments, based on the target garden design feature information set, garden architectural features are extracted, and the functional types and formal characteristics of the buildings are analyzed; based on the functional types and formal characteristics of the buildings, a cultural symbol norm library is matched to generate a set of architectural symbol carrying requirements; by comparing the color feature spectrum of plants with the color system of building materials, seasonal hue conflicts are detected, and a visual conflict index is generated; by comparing the semantic set of plant species symbols with the architectural symbol requirements, semantic contradictions are identified, and a symbol coordination index is generated; based on the visual conflict index and the symbol coordination index, a building-plant adaptation set with priority tags is generated.

[0056] The cultural symbol norms library can be a set of norms containing a list of required symbols, a list of recommended symbols, and a list of forbidden symbols, used to clarify the core symbolic symbols corresponding to the garden theme. The architectural symbol carrying requirements set can be based on the building's functional type and formal characteristics, combined with the cultural symbol requirements determined by the cultural symbol norms library. The visual conflict index can be a quantitative index that comprehensively reflects the severity of visual conflict between plant and architectural colors in the garden, considering the conflict intensity level, impact period, and zoning importance. The symbol coordination index can be a quantitative index that measures the degree of matching between the semantic meaning of plant species symbols and the requirements of architectural symbols, considering the coverage of required symbols, the matching rate of recommended symbols, the amount of conflict of forbidden symbols, and the spatial attenuation coefficient.

[0057] Specifically, in the assessment of garden greening maintenance, plants and architecture are the two core elements constituting the overall style of a garden. Their compatibility directly determines the expressive effect of the garden's theme, its aesthetic value, and the transmission of its cultural connotations. As an element with a fixed form and clear function in a garden, the interaction between architecture and plants (such as visual matching and symbolic echo) has a more direct impact on the overall effect of the garden. If the assessment of the compatibility between plants and architecture is ignored, it may lead to the problem of "plants conforming to the theme but conflicting with the architecture." For example, a Chinese garden has traditional blue bricks and gray tiles, but a large number of geometric shrubs symbolizing "modern simplicity" are planted around it. Even if the plants conform to the theme when viewed individually, they will destroy the overall style when paired with the architecture. At the same time, the visual experience of a garden is the first perception of visitors, and the color and form matching between plants and architecture is the core of the visual experience. The colors of plants change with the growth cycle in different seasons (such as tender green in spring and golden yellow in autumn). If there is a seasonal color conflict with the color scheme of the building materials (such as the high contrast conflict between red buildings and yellow plants in autumn), it will seriously affect visual harmony. To address the above issues, this step first extracts architectural features from the target garden design feature information set, analyzes the architectural function type (e.g., sacrificial buildings) and form features (e.g., blue tile roof) of each building, and then matches them with the cultural symbol standard library to generate a set of architectural symbol carrying requirements (e.g., {Building: Tingyuxuan, Requirements: [“Secluded” = “Bamboo (Required)”, “Zen” = “Moss (Recommended)”]}); then, based on the plant color feature spectrum, it extracts the seasonal dominant hue (e.g., spring area A crabapple pink RGB(255,182,193)) and compares it with the building material reference hue (e.g., Tingyuxuan blue tile color RGB(0,128,128)), calculates the hue ring angle (e.g., angle 60°), and if it is less than the harmony threshold (e.g., 30°) or greater than the conflict threshold (e.g., 150°), it is marked as a seasonal hue conflict instance, combined with the conflict duration (e.g., 20 days) and the importance of the zone ( For example, a visual conflict index (range 0-10) is generated with a weight of 0.9. Then, a three-layer quantity verification is performed (coverage of required symbols, proportion of recommended symbols, and detection of forbidden symbols). The base score is calculated (e.g., full coverage of required symbols +10 points, -3 points for each missing symbol, -5 points for each forbidden symbol) and a spatial attenuation coefficient is applied (e.g., weight = 1.0 for 0-10m from the building, weight = 0.6 for 10-20m) to generate a symbol coordination index (range 0-10). Finally, the visual conflict index and the symbol coordination index (e.g., visual weight 0.6, symbol weight 0.4) are combined to calculate the comprehensive adaptation score. The building-plant adaptation set is output according to the priority of the graded marking (e.g., priority 1 score < 4, priority 2 score 4-6, priority 3 score ≥ 6) (e.g., {area: Tingyuxuan-east side, visual conflict index: 7.2, symbol coordination index: 5.1, comprehensive score: 4.8, priority: 2}).

[0058] By utilizing the method provided in this embodiment, the visual compatibility and symbolic harmony of plants and buildings are evaluated systematically, avoiding conflicts between the two in terms of color and cultural symbols. This ensures that the garden forms a unified whole from the visual perspective to its connotation, enhancing visitors' sense of immersion and identification. By identifying and optimizing semantic contradictions, it ensures that plants and buildings jointly carry the cultural symbolic meaning of the garden, making the theme expression clearer and more powerful, avoiding thematic ambiguity caused by element conflicts, and strengthening the expressiveness of the cultural theme.

[0059] In some embodiments, based on the characteristics of garden architecture, the inherent reference hue of the building material of each building is extracted; based on the plant color feature spectrum, the seasonal dominant hue and duration of each main color display zone of the garden are extracted; the seasonal dominant hue of each main color display zone is compared with the reference hue of the building material of the buildings in the zone to identify whether there is a visual disharmony caused by the hue ring position tending to a preset angle. If so, it is defined as a seasonal hue conflict instance; the visual abruptness and conflict duration of the seasonal hue conflict instance are analyzed to obtain the conflict intensity level and influence cycle of each seasonal hue conflict instance; by preset zone importance, the conflict intensity level and influence cycle corresponding to the seasonal hue conflict instance are weighted and calculated to generate a visual conflict index that comprehensively reflects the severity of the visual conflict between the plant and building colors in each main color display zone.

[0060] The base hue of building materials can be the inherent base color attribute of a building, determined by its material. It serves as a benchmark value for measuring the stability of building colors, such as the bluish-gray of blue bricks or the off-white of marble. Examples of seasonal hue conflicts can be specific cases of visual disharmony, requiring consideration of the specific color zones of the garden's main features, the buildings, the season, and the corresponding color combinations. The pre-defined importance of zones can be weighted values ​​assigned to each main color zone based on the garden's function, with higher weights for core landscape areas and lower weights for peripheral areas, used to differentiate the scope of impact of conflicts.

[0061] Specifically, as a comprehensive space integrating natural landscapes and human-made architecture, the visual harmony of a garden is the core carrier for realizing the design theme and conveying cultural connotations. Color, as the primary element of visual perception, directly influences visitors' perception of the garden's style. Plants and architecture, as two core visual elements in a garden, exhibit significant "dynamic-static" differences in their color relationships: plant colors change cyclically with the seasons (e.g., the tender green of spring buds, the vibrant colors of summer blooms, the golden hues of autumn leaves, and the desolate branches of winter), while the base hues of building materials are relatively fixed (e.g., the vermilion walls of ancient buildings, the gray and white steel structures of modern gardens). This difference may lead to discrepancies in the color of plants and architecture in certain seasons. Inconsistency can disrupt the overall stylistic unity of a garden. For example, in a "Jiangnan Water Town" themed garden, the buildings are characterized by blue bricks and gray tiles (with a base hue of bluish-gray). If a large area of ​​maple trees that turn bright red in autumn are planted around them, the angle difference between bluish-gray and bright red on the color wheel exceeds the preset harmony threshold (such as 60°), creating a strong visual impact that contradicts the theme of "gentleness and elegance." Similarly, in commemorative gardens, the buildings often use solemn dark colors (such as black and dark brown). If a large area of ​​bright yellow flowers appears around them in spring, it may weaken the solemn atmosphere. If these seasonal color conflicts are not detected and quantified in time, they will lead to a lack of coherence in the garden's theme expression and reduce the immersive experience for visitors. To address the above issues, this step first extracts the base hue of the building material for each building facade based on the garden architecture feature data (e.g., the main hue of a pavilion's glazed tile roof is green (HSV hue value 120°)). Simultaneously, it extracts the seasonal main hue of the area from the plant color feature map according to the main color zone of the garden (e.g., "West Lake Embankment Area") and the season (e.g., "Autumn") (e.g., the main hue of the Chinese tallow tree leaves in this area is red (HSV hue value 0°)). Next, the two hue values ​​are mapped onto a standard hue circle to calculate the angle difference (in this example, 120°), and compared with a preset angle (e.g., 150 degrees). If the difference is close... If the threshold is exceeded, the situation is recorded as a seasonal hue conflict instance. Then, the visual abruptness of the conflict instance is analyzed (determined by the hue difference and saturation difference) and its conflict duration is obtained (e.g., lasting about 25 days). Based on this, its conflict intensity level is assessed (e.g., level 4 / 5) and its impact cycle is marked. Finally, all color zones are traversed to find all conflict instances, and the intensity levels of all conflict instances are weighted, summed, and normalized according to the preset importance of each zone (e.g., the "main entrance area" has a weight of 1.0). Finally, the visual conflict index of the area is generated (e.g., the index of the West Lake embankment area is 7.8 / 10).

[0062] The method provided in this embodiment utilizes a systematic detection process to accurately identify color conflicts between plants and buildings in different seasons and zones, avoiding biases in subjective judgment and providing an objective basis for maintenance optimization. The visual conflict index comprehensively considers the intensity, duration, and importance of the conflict zone, enabling landscape managers to clearly distinguish between "long-term severe conflicts in the core area" and "short-term minor conflicts in the peripheral area," prioritizing the resolution of high-priority issues. By identifying seasonal color conflicts in advance, targeted measures can be taken to ensure that the colors of plants and buildings remain consistent with the design theme throughout the year, enhancing the transmission of cultural symbolism.

[0063] In some embodiments, a three-layer quantity verification is performed based on the plant species symbol semantic set and the cultural symbol norm library: 1) Detecting whether the plants surrounding each building cover all entries in the mandatory symbol list and counting the number of mandatory symbols; 2) Verifying the consistency between the number of garden plant symbols that match and the recommended symbol list, and determining the recommended quantity ratio; 3) Comparing the plant species symbol semantic set with the taboo symbol list, and marking the number of completely matching taboo conflict items; 4) Increasing the base score based on the product of the number of mandatory symbols and the unit adjustment score; 5) Deducting the base score based on the product of the number of taboo conflict items and the unit adjustment score; 6) Determining the recommended symbol matching rate based on the recommended quantity ratio, and further adjusting the current base score by increasing it proportionally according to a third preset weight value based on the recommended symbol matching rate, and using the adjusted base score as the base coordination score; 7) Dividing concentric ring areas with increasing radii around the center of each building, with the semantic influence of plant symbols farther from the center decreasing according to a gradient, generating a spatial attenuation coefficient; 8) Using the base coordination score and the spatial attenuation coefficient as the symbol coordination index of the individual plant.

[0064] The number of required symbols can be the number of items on the list of required symbols covered by the plants surrounding the building, obtained by checking the matching between the plants surrounding the building and the list of required symbols. The recommended quantity ratio can be the consistency ratio between the number of garden plant symbols that match and the recommended symbol list, calculated by checking the number of matching plants with the recommended symbol list. The number of taboo conflict items can be the number of items whose semantic set of plant species symbols completely matches the taboo symbol list, determined by comparing plants with the taboo symbol list. The recommended symbol matching rate can be the proportion determined by the recommended quantity ratio, reflecting the degree of matching between plants and the recommended symbol list, and is an important indicator of thematic richness. The spatial attenuation coefficient can be the coefficient by which the semantic influence of plant symbols on the building decreases with increasing distance from the building, reflecting the negative correlation between spatial distance and semantic influence intensity.

[0065] Specifically, as a spatial carrier of cultural themes and symbolic meanings, the coordination of symbolic meanings between plants and architecture is a core prerequisite for the accurate expression of the theme in gardens. If the symbolic meanings of plants contradict or mismatch with the symbolic needs of architecture, it will directly lead to the blurring or even distortion of the garden's theme, weakening its function of cultural dissemination and emotional resonance. This is specifically reflected in the following aspects: First, the coverage of the essential symbol list is the foundation of the theme's integrity. The essential symbol list contains the core symbols of the garden's theme and is the "skeleton" of the theme's expression. For example, in a garden themed around the "Three Friends of Winter" (pine, bamboo, and plum), if the essential plant "pine" is missing from the surrounding buildings, the core connotation of the theme cannot be fully conveyed. First, it's difficult for visitors to perceive the cultural connotation of "perseverance" from the landscape. Second, the removal of taboo symbols is essential for the purity of the theme. Taboo symbols fundamentally conflict with the garden's theme, and their presence can severely damage the theme's atmosphere, leading to misunderstandings and even emotional discomfort for visitors. Finally, the matching degree of the recommended symbol list is crucial for the richness of the theme. While not mandatory, the recommended symbol list can indirectly strengthen the theme's connotation and enrich the cultural layers of the landscape. For example, in a garden with a "pastoral poetry" theme, in addition to the essential "rice and wheat," the recommended "willow and lotus" can enhance the "poetic" atmosphere. If the matching rate is too low, it indicates that the landscape lacks detailed support, and the theme's expression will appear thin.To address the above issues, this step first involves acquiring the semantic set of plant species symbols and the cultural symbol norms library for each building, and strictly implementing a three-layer quantity verification: The first layer verifies the coverage of the mandatory symbol list by plants within a specified radius (e.g., 50 meters) around the building, counting the number of mandatory symbols (e.g., the list requires 3 types, and 2 types are found); the second layer verifies the number of plants in the surrounding area that belong to the recommended symbol list, calculating the recommended percentage (e.g., the recommended list has 10 types, and 6 types are found, a percentage of 60%); the third layer verifies the comparison between the surrounding plants and the list of prohibited symbols, counting the number of prohibited conflicts (e.g., 1 prohibited plant is found); then, a score is calculated: an initial base score (e.g., 0 points) is initialized, and the score is increased by multiplying the base score by the product of the number and unit of mandatory symbols (e.g., +3 points for each plant). The base score is deducted by multiplying the number and unit of taboo conflict items (e.g., -5 points for each plant). Then, it is proportionally increased based on the proportion of recommended items (i.e., the recommended symbol matching rate) and a third preset weight value (e.g., weight 2) to obtain the base coordination score. Next, a spatial dimension is introduced, dividing the area into concentric rings with the building center as the center (e.g., 0-10 meters is the first ring, 10-20 meters is the second ring), and assigning decreasing spatial attenuation coefficients to the rings at different distances (e.g., coefficient 1.0 for the first ring, coefficient 0.6 for the second ring). Finally, the base coordination score of each plant is multiplied by the spatial attenuation coefficient of its location to obtain the final symbol coordination index of the plant (e.g., a plant with a base coordination score of 8 points, if located in the second ring, has an index of 8 * 0.6 = 4.8).

[0066] The method provided in this embodiment can promptly identify missing core plants around a building by detecting the number of required symbols, providing a basis for supplementing required plants and preventing the theme from being incomplete due to the absence of core symbols. By identifying the number of taboo and conflicting items, plants that conflict with the theme can be quickly located, providing guidance for removing or replacing taboo plants and preventing conflicting symbols from damaging the theme atmosphere. By calculating the matching rate of recommended symbols, the deficiencies of recommended plants can be identified, providing direction for adding recommended plants, so that the garden theme is supported by details beyond the core symbols, and the expression is richer.

[0067] In some embodiments, a garden vegetation suitability score is determined based on a visual conflict index and a symbolic harmony index. Zones with garden vegetation suitability scores below a preset score threshold are identified as focal points of style conflict. Based on these focal points, the causes of conflict and seasonal evolution patterns are analyzed to generate a theme suitability assessment report containing garden vegetation suitability scores and conflict details. Based on the theme suitability assessment report, maintenance optimization suggestions, including adjusting plant layout or replacing prohibited plants, are provided.

[0068] The focal point of stylistic conflict can be a zone where the vegetation suitability score is below a preset threshold, or a key area where there is a significant visual or symbolic conflict between plants and architecture. The thematic suitability assessment report can include the vegetation suitability score and details of the conflict, systematically presenting the suitability status and problems between plants and architecture in the garden.

[0069] Specifically, from the perspective of the core objectives of landscape design, the value of a landscape lies not only in the survival and growth of plants, but also in conveying the design theme and cultural symbolism through the coordination of plants and architecture. The previous steps in this scheme have completed the process from design theme analysis, plant-theme matching degree analysis to the generation of architecture-plant adaptation sets. However, these processes only stay at the level of "identifying adaptability" and have not deeply addressed the problem of "insufficient adaptability". Without the steps of analyzing the focus of style contradictions, generating evaluation reports and proposing optimization suggestions, landscape maintenance will lose its focus - maintenance personnel will not be able to identify the areas that need to be improved, nor will they know the specific direction of improvement, which may lead to the waste of maintenance resources or the neglect of key issues. To address the above issues, this step first obtains a building-plant compatibility set containing visual conflict indices for each zone (e.g., 7.8 for the West Lake embankment area) and symbolic coordination indices for each plant (e.g., 4.8 for a certain plant at the North Gate). Through weighted fusion (e.g., 60% visual weight and 40% symbolic weight), a unified garden vegetation compatibility score is calculated for each zone (e.g., 5.5 points for this zone). This score is then compared with a preset scoring threshold (e.g., 6.0 points), automatically identifying all areas that fail to meet the score as focal points of style conflict. The system then conducts in-depth analysis of each focal point, examining the causes of conflict and seasonal evolution patterns (e.g., diagnosing the main conflict in this zone as "the strong complementary color contrast between the red leaves of the Chinese tallow tree and the blue-tiled buildings in autumn, with the conflict lasting approximately 25 days"), and checking for any symbolically taboo plants. Based on this, a detailed theme compatibility assessment report is automatically generated, and finally, concrete maintenance optimization suggestions are output (e.g., "prune the Chinese tallow trees before autumn" or "replace the taboo plant with purple bamboo").

[0070] The method provided in this embodiment clearly identifies the focal points of stylistic conflicts, allowing maintenance resources to be concentrated on the areas most in need of improvement, avoiding blind maintenance and improving resource utilization efficiency. By analyzing seasonal evolution patterns, it ensures that maintenance measures can adapt to the dynamic changes of plants, maintaining the consistency of the garden theme in the long term and preventing the theme expression from becoming ineffective due to seasonal changes. The theme suitability assessment report provides all parties with unified evaluation standards and improvement basis, reducing the subjectivity of maintenance work and improving the scientific and standardized nature of industry maintenance.

[0071] Figure 3 A schematic diagram of the structure of an assessment system for landscaping maintenance provided in one embodiment of this application is shown below. Figure 3As shown, the landscape greening maintenance assessment system 300 of this embodiment includes: a theme analysis module 301, a feature matching module 302, an adaptation assessment module 303, and a conflict reporting module 304; The theme analysis module 301 is used to acquire a target garden design feature information set, analyze the design theme based on the target garden design feature information set, and generate a cultural symbol standard library; the feature matching module 302 is used to acquire a plant community dataset, analyze plant color characteristics and plant species symbol semantics based on the plant community dataset and the cultural symbol standard library, and generate a plant-theme symbol matching degree; the adaptation evaluation module 303 is used to evaluate the visual adaptability and symbolic harmony between plants and buildings based on the target garden design feature information set and the plant-theme symbol matching degree, and generate a building-plant adaptation set; the conflict report module 304 is used to analyze the style conflict focus based on the building-plant adaptation set, generate a theme adaptability evaluation report, and provide maintenance optimization suggestions.

[0072] Optionally, the theme parsing module 301 is specifically used for: the target garden design feature information set including original design drawings, design concept explanation text, and garden architectural features; extracting spatial effect symbols based on the original design drawings, and simultaneously analyzing semantic theme symbols in the design concept explanation text to generate an initial symbol set; according to the initial symbol set, associating it with a preset cultural symbol mapping dictionary, semantically strengthening and assigning cultural weights to the initial symbol set to generate the cultural symbol standard library including a mandatory symbol list, a recommended symbol list, and a taboo symbol list; the mandatory symbol list includes core plants or buildings that must conform to the garden theme; the recommended symbol list includes core plants or buildings that can enhance the garden theme but are not essential; and the taboo symbol list includes plants or buildings that are absolutely prohibited from appearing in the garden theme.

[0073] Optionally, when the feature matching module 302 analyzes plant color features and plant species symbol semantics based on the plant community dataset and the cultural symbol specification library to generate a plant-theme symbol matching degree, it is specifically used for: the plant community dataset including a plant color dataset and a plant species dataset; based on the plant color dataset, extracting the main hue and saturation change features of the plant community according to the season to generate a plant color feature map with spatiotemporal coordinates; matching each plant species with the symbol definitions in the cultural symbol specification library according to the plant species dataset to generate a plant species symbol semantic set; comparing the plant color feature map with the color symbol requirements analyzed in the cultural symbol specification library, and verifying the consistency of the plant species symbol semantic set with the species symbols in the cultural symbol specification library; quantifying the symbol matching degree of the plant color feature map and the plant species symbol semantic set according to the color symbol requirements and the consistency of the species symbols, and generating the plant-theme symbol matching degree including the conflict level.

[0074] Optionally, when the feature matching module 302 extracts the dominant hue and saturation change features of the plant community according to the season based on the plant color dataset and generates a plant color feature map with spatiotemporal coordinates, it is specifically used to: analyze the temporal color records in the plant color dataset, which are used to characterize the color display feature data of the plant community under different seasons; divide the plant community into color display areas based on the temporal color records to generate a set of garden plant color display areas; identify the main color display area in each color display area in the single-season data according to the set of garden plant color display areas, and extract the dominant hue with a coverage exceeding a preset dominant color threshold as the seasonal dominant hue of the color display area; track the continuous evolution of saturation of the same color display area in the four seasons to generate a smooth transition saturation change curve; and map the dominant hue and its saturation curve according to the smooth transition saturation change curve, with the season as the time axis unit and the garden main color display area as the spatial axis unit, to generate the plant color feature map that integrates the spatiotemporal dimension and the color evolution law.

[0075] Optionally, when the feature matching module 302 generates a plant species symbol semantic set based on the plant species dataset by matching each plant species with the symbol definitions in the cultural symbol specification library, it is specifically used to: extract plant species identifiers for each plant based on the plant species dataset; based on the plant species identifiers, traverse the mandatory symbol list, the recommended symbol list, and the taboo symbol list in the cultural symbol specification library, remove plants that conform to the taboo symbol list, and generate a set of plants that meet the requirements; analyze the historical allusions of each plant species based on the set of plants that meet the requirements, and generate a set of cultural potential semantics for each plant; perform semantic depth matching between the set of cultural potential semantics and the symbol definitions, identify symbol weight priorities, and generate a set of plant species symbol semantics containing symbol meaning and weight levels.

[0076] Optionally, when the adaptation evaluation module 303 evaluates the visual adaptability and symbolic harmony between plants and buildings based on the target garden design feature information set and the plant-theme symbol matching degree, and generates a building-plant adaptation set, it is specifically used for: extracting the garden building features based on the target garden design feature information set, and analyzing the building function type and form features; matching the cultural symbol standard library based on the building function type and form features, and generating a building symbol carrying requirement set; comparing the plant color feature spectrum with the building material color system, detecting seasonal hue conflicts, and generating a visual conflict index; comparing the plant species symbol semantic set with the building symbol requirements, identifying semantic contradictions, and generating a symbol harmony index; and generating the building-plant adaptation set with priority markings based on the visual conflict index and the symbol harmony index.

[0077] Optionally, when the adaptation evaluation module 303 detects seasonal hue conflicts and generates a visual conflict index based on the comparison of the plant color feature map and the building material color system, it is specifically used for: extracting the inherent building material base hue of each building based on the garden building features; extracting the seasonal main hue and duration of each main color display zone of the garden based on the plant color feature map; comparing the seasonal main hue of each main color display zone with the building material base hue of the buildings in the zone to identify whether there is a visual disharmony caused by the hue ring position tending to a preset angle, and if so, defining it as a seasonal hue conflict instance; analyzing the visual abruptness and conflict duration of the seasonal hue conflict instance to obtain the conflict intensity level and influence cycle of each seasonal hue conflict instance; and weighting the conflict intensity level and influence cycle corresponding to the seasonal hue conflict instance by preset zone importance to generate the visual conflict index that comprehensively reflects the severity of the visual conflict between the plant and building colors in each main color display zone.

[0078] Optionally, when the adaptation evaluation module 303 identifies semantic contradictions and generates a symbol coordination index based on the comparison of the plant species symbol semantic set and the architectural symbol requirements, it is specifically used to: perform a three-layer quantity verification based on the plant species symbol semantic set and the cultural symbol standard library: detect whether the plants around each building cover all items of the mandatory symbol list and count the number of mandatory symbols; verify the consistency between the number of garden plant symbols adapted and the recommended symbol list, and determine the proportion of recommended quantities; compare the plant species symbol semantic set and the taboo symbol list, and mark the number of taboo conflict items that match completely; and based on the number of mandatory symbols and the single The product of the unit adjustment score is used to increase the base score; the product of the number of taboo conflict items and the unit adjustment score is used to deduct the base score; the recommended symbol matching rate is determined based on the proportion of recommended items, and the current base score is further adjusted by increasing the recommended symbol matching rate proportionally according to a third preset weight value, and the adjusted base score is used as the base coordination score; concentric ring areas with increasing radii are divided with the center of each building as the center, and the semantic influence of plant symbols farther from the center on the building is reduced by a gradient, generating a spatial attenuation coefficient; the product of the base coordination score and the spatial attenuation coefficient is used as the symbol coordination index of the individual plant.

[0079] Optionally, the conflict reporting module 304 is specifically used for: determining the garden vegetation suitability score based on the visual conflict index and the symbol coordination index; identifying the areas with garden vegetation suitability scores below a preset score threshold as style conflict focal points; analyzing the causes of conflict and seasonal evolution patterns based on the style conflict focal points; generating a theme suitability assessment report containing the garden vegetation suitability score and conflict details; and providing maintenance optimization suggestions, including adjusting plant layout or replacing prohibited plants, based on the theme suitability assessment report.

[0080] The system in this embodiment can be used to execute the methods of any of the above embodiments, and its implementation principle and technical effect are similar, so they will not be described again here.

Claims

1. A method for assessing the maintenance of landscaping and green spaces, characterized in that, include: Obtain the target garden design feature information set, analyze the design theme based on the target garden design feature information set, and generate a cultural symbol standard library; Obtain a plant community dataset, and based on the plant community dataset and the cultural symbol standard library, analyze the plant color features and plant species symbol semantics to generate plant-theme symbol matching degree; Based on the target garden design feature information set and the plant-theme symbol matching degree, evaluate the visual compatibility and symbolic harmony between plants and buildings, and generate a building-plant compatibility set; Based on the aforementioned building-plant compatibility set, a style conflict focus analysis is performed, a theme compatibility assessment report is generated, and maintenance optimization suggestions are provided.

2. The method according to claim 1, characterized in that, The step of analyzing the design theme and generating a cultural symbol norms library based on the target garden design feature information set includes: The target garden design feature information set includes original design drawings, design concept explanation text, and garden architectural features; Based on the original design drawings, spatial effect symbols are extracted, and semantic theme symbols in the design concept exposition text are analyzed to generate an initial symbol set. Based on the initial symbol set, a preset cultural symbol mapping dictionary is associated with it. The initial symbol set is then semantically enhanced and cultural weights are assigned to it to generate a cultural symbol standard library that includes a list of required symbols, a list of recommended symbols, and a list of taboo symbols. The list of required symbols includes core plants or buildings that must conform to the garden theme; The recommended list of symbols includes core plants or buildings that can enhance the garden theme but are not essential; The list of taboo symbols includes plants or buildings that are absolutely prohibited in the garden theme.

3. The method according to claim 2, characterized in that, The step involves analyzing plant color features and plant species symbol semantics based on the plant community dataset and the cultural symbol normative library to generate plant-theme symbol matching scores, including: The plant community dataset includes a plant color dataset and a plant species dataset; Based on the plant color dataset, the main hue and saturation variation features of the plant community are extracted according to the season, and a plant color feature map with spatiotemporal coordinates is generated. Based on the plant species dataset, each plant species is matched with the symbol definitions in the cultural symbol specification library to generate a plant species symbol semantic set. The plant color feature atlas is compared with the color symbol requirements obtained from the analysis of the cultural symbol standard library, and the consistency between the plant species symbol semantic set and the species symbols in the cultural symbol standard library is verified. Based on the color symbol requirements and the consistency of the species symbols, the symbol matching degree of the plant color feature map and the semantic set of plant species symbols is quantified, and the plant-theme symbol matching degree containing the conflict level is generated.

4. The method according to claim 3, characterized in that, The process of extracting the dominant hue and saturation variation features of plant communities according to the season based on the plant color dataset, and generating a plant color feature map with spatiotemporal coordinates, includes: Analyze the temporal color records in the plant color dataset, which are used to characterize the color display features of plant communities in different seasons; Based on the aforementioned temporal color record, the color display area of ​​the plant community is divided to generate a set of color display areas for garden plants. Based on the set of color-displaying regions of garden plants, identify the main color-displaying region in each color-displaying region in the single-season data, and extract the dominant hue with a coverage exceeding the preset main color threshold as the seasonal main hue of the color-displaying region; By tracking the continuous evolution of saturation in the same color region throughout the four seasons, a smooth transition saturation change curve is generated. Based on the smooth transition saturation change curve, the main hue and its saturation curve are mapped using the season as the time axis unit and the main color zone of the garden as the spatial axis unit, generating the plant color feature map that integrates the spatiotemporal dimension and the color evolution law.

5. The method according to claim 4, characterized in that, The step of matching each plant species with the symbol definitions in the cultural symbol specification library based on the plant species dataset to generate a plant species symbol semantic set includes: Based on the plant species dataset, extract the plant species identifier for each plant; Based on the plant species identifier, the mandatory symbol list, the recommended symbol list, and the taboo symbol list in the cultural symbol standard library are traversed, plants that match the taboo symbol list are removed, and a set of plants that meet the requirements is generated; Based on the requirements and the plant set, analyze the historical allusions of each plant species to generate a cultural potential semantic set for each plant. The cultural potential semantic set is semantically deep matched with the symbol definition to identify symbol weight priority and generate a symbol semantic set of the plant species that includes symbol meaning and weight level.

6. The method according to claim 5, characterized in that, The process of evaluating the visual compatibility and symbolic harmony between plants and architecture based on the target garden design feature information set and the plant-theme symbol matching degree, and generating an architecture-plant compatibility set, includes: Based on the target garden design feature information set, extract the garden architectural features and analyze the architectural function type and form characteristics; Based on the aforementioned building function type and form characteristics, and by matching the aforementioned cultural symbol standard library, a set of architectural symbol carrying requirements is generated: By comparing the plant color feature spectrum with the building material color system, seasonal color conflicts are detected, and a visual conflict index is generated. By comparing the semantic set of plant species symbols with the architectural symbol requirements, semantic contradictions are identified, and a symbol coordination index is generated. Based on the visual conflict index and the symbolic harmony index, the building-plant adaptation set with priority tags is generated.

7. The method according to claim 6, characterized in that, The comparison of the plant color feature spectrum with the building material color system detects seasonal color conflicts and generates a visual conflict index, including: Based on the characteristics of the garden architecture, the base hue of the building material inherent in each building is extracted; Based on the plant color feature map, the seasonal dominant hue and duration of each main color zone of the garden are extracted; The seasonal primary hue of each main color zone is compared with the building material reference hue of the buildings within the zone to identify whether there is a visual disharmony caused by the hue wheel position tending to a preset angle. If so, it is defined as a seasonal hue conflict instance. The visual abruptness and duration of the seasonal hue conflict instances are analyzed to obtain the conflict intensity level and impact cycle of each instance. By pre-setting the importance of each zone, the intensity level and impact period of the seasonal hue conflict instances are weighted and calculated to generate a visual conflict index that comprehensively reflects the severity of the visual conflict between plant and building colors in each main color zone.

8. The method according to claim 7, characterized in that, The process of comparing the semantic set of plant species symbols with the architectural symbol requirements, identifying semantic contradictions, and generating a symbol coordination index includes: Based on the semantic set of plant species symbols and the normative library of cultural symbols, perform a three-layer quantity verification: Detect whether the plants around each building cover all items in the list of required symbols, and count the number of required symbols. Verify the consistency between the number of garden plant symbols matched and the recommended symbol list, and determine the proportion of recommended symbols. Compare the semantic set of plant species symbols with the list of taboo symbols, and mark the number of taboo conflicts that match exactly; The base score is increased by multiplying the score by the quantity and unit of the required symbols. The base score is deducted based on the product of the number of prohibited conflict items and the unit adjustment score. Based on the proportion of recommended items, the matching rate of recommended symbols is determined, and the current basic score is further adjusted by increasing the matching rate of recommended symbols proportionally according to a third preset weight value. The adjusted basic score is then used as the basic coordination score. Using the center of each building as the center, concentric ring areas with increasing radii are divided. The semantic influence of plant symbols on the building decreases with increasing gradient as they are farther from the center, generating a spatial attenuation coefficient. The product of the basic coordination factor and the spatial decay coefficient is used as the symbolic coordination index of the plant individual.

9. The method according to claim 6, characterized in that, The process involves analyzing style conflict points based on the building-plant compatibility set, generating a theme compatibility assessment report, and providing maintenance optimization suggestions, including: Based on the visual conflict index and the symbol coordination index, the garden vegetation suitability score is determined, and the areas with garden vegetation suitability scores below the preset score threshold are taken as the focus of style conflict. Based on the aforementioned style conflict focus, the causes of the conflict and the seasonal evolution pattern are analyzed, and a theme suitability assessment report containing the garden vegetation suitability score and conflict details is generated; Based on the aforementioned theme suitability assessment report, maintenance optimization recommendations are provided, including adjusting the plant layout or replacing prohibited plants.

10. An evaluation system for landscaping maintenance, characterized in that, The method applied to any one of claims 1-9 includes: The theme analysis module is used to obtain the target garden design feature information set, analyze the design theme based on the target garden design feature information set, and generate a cultural symbol standard library; The feature matching module is used to acquire a plant community dataset, and based on the plant community dataset and the cultural symbol standard library, analyze plant color features and plant species symbol semantics to generate plant-theme symbol matching degree. The adaptation evaluation module is used to evaluate the visual adaptability and symbolic harmony between plants and buildings based on the target garden design feature information set and the plant-theme symbol matching degree, and generate a building-plant adaptation set. The conflict reporting module is used to analyze style conflict focal points based on the building-plant adaptation set, generate a theme adaptability assessment report, and provide maintenance optimization suggestions.

Images