Method and system for evaluating shade tolerance adaptability of ground cover plants

Abstract

The invention discloses an evaluation method and system for shade tolerance adaptability of ground cover plants, and relates to the technical field of plant cultivation and garden ecology. The evaluation method comprises the following steps: constructing a ground cover plant shade tolerance adaptability evaluation index system; the shade tolerance adaptability evaluation index system for the ground cover plants comprises a target layer, a criterion layer and an index layer, performing quantitative score assignment on the evaluation indexes of the index layer, and obtaining scores of the evaluation indexes of the criterion layer based on the scores of the evaluation indexes of the index layer; calculating a comprehensive score of a target layer based on the score of the evaluation index of the criterion layer in combination with the weight of each evaluation index in the criterion layer; and determining the shade tolerance adaptability level of the current evaluation object. According to the method, by constructing the multi-dimensional index system and the analytic hierarchy model, the limitation of traditional single index evaluation and / or subjectivity of empirical judgment are solved, a systematic and objective method is provided for scientific screening of shade-tolerant ground cover plants, and the method has the advantages of being low in evaluation subjectivity and high in accuracy.

Description

Technical Field

[0001] This invention relates to the field of plant cultivation and landscape ecology technology, specifically to a method and system for evaluating the shade tolerance of ground cover plants. Background Technology

[0002] Ground cover plants, as the understory vegetation in landscaping systems, possess multiple ecological functions, including water conservation, soil stabilization and slope protection, microclimate regulation, and environmental beautification. In urban greening, low-light environments such as building shadow areas and understory spaces are prevalent, leading to a growing demand for shade-tolerant ground cover plants. Current evaluations of ground cover plant shade tolerance primarily rely on single indicators or empirical judgments: for example, morphological indicators have limitations, mainly judging shade tolerance through changes in plant height and branching number, resulting in highly subjective and inaccurate evaluations.

[0003] Therefore, it is urgent to establish a multi-dimensional evaluation system that covers morphological adaptability, ornamental value, and resource utilization strategies to solve the problems of fragmented indicators, strong subjectivity, and low accuracy in existing methods. Summary of the Invention

[0004] To overcome the shortcomings of the prior art, the present invention aims to provide a method and system for evaluating the shade tolerance of ground cover plants, and to solve the problems of fragmented indicators and strong subjectivity in the evaluation process, which lead to low accuracy of evaluation results.

[0005] To achieve the above objectives, the technical solution adopted by the present invention is as follows: A method for evaluating the shade tolerance of ground cover plants, characterized by the following steps: 1) Construct an evaluation index system for the shade tolerance adaptability of ground cover plants; the evaluation index system for the shade tolerance adaptability of ground cover plants includes a target layer, a criterion layer and an index layer; the target layer is the shade tolerance adaptability of the evaluation object, and the evaluation object is ground cover plants; 2) Quantify and score the evaluation indicators of the indicator layer, and obtain the scores of the evaluation indicators of the criterion layer based on the scores of the evaluation indicators of the indicator layer; 3) Based on the scores of the evaluation indicators in the criterion layer, and combined with the weights of each evaluation indicator in the criterion layer, calculate the comprehensive score of the target layer; 4) Determine the shade tolerance level of the current evaluation object based on the comprehensive score of the target layer.

[0006] As a preferred option, the evaluation indicators of the criteria layer include ornamental value, ecological value, functional value, and application value.

[0007] Furthermore, in the indicator layer, the evaluation indicators related to ornamental value include leaf color diversity, flowering duration, and crown fullness; the evaluation indicators related to ecological value include carbon sequestration capacity, microbial symbiosis index, and surface runoff reduction rate; the evaluation indicators related to functional value include air purification rate, cooling and humidification effect, and dust retention capacity; and the evaluation indicators related to application value include wide range of suitable growing areas, propagation cost, and market demand.

[0008] As a preferred option, in step 2), the maximum score for each evaluation indicator in the indicator layer is 10 points.

[0009] Furthermore, each evaluation indicator in the indicator layer is quantitatively scored by experts based on on-site data or equipment testing.

[0010] As a preferred option, in step 3), the score of each evaluation indicator in the criteria layer is obtained by weighted averaging of the scores of each evaluation indicator in the corresponding indicator layer.

[0011] As a preferred option, the total weight of each evaluation index in the criterion layer is 1.

[0012] As a preferred embodiment, the method for obtaining the weights of each evaluation index in the criterion layer includes the following steps: By comparing each evaluation index in the criterion layer pairwise, and scoring the relative importance of any two evaluation indices using the 1-9 scaling method, the following judgment matrix Z is obtained: Z=

[0013] In the formula, z ij The relative importance score of the i-th evaluation indicator in the criteria layer compared with the j-th evaluation indicator, where i, j = 1, 2, ..., n, and n is the number of evaluation indicators in the criteria layer; Calculate the geometric mean w of the elements in each row of the judgment matrix. i w i Let be the geometric mean of the i-th evaluation index in the criteria layer; The weights W of each criterion-level evaluation index are obtained by normalizing all geometric mean values. i W i The weight of the i-th evaluation index in the criterion layer, i.e., w i The normalized value is W1 + W2 + ... + W i +.....W n =1.

[0014] Furthermore, the method for obtaining the weights of each evaluation index in the criterion layer also includes performing a consistency check on the judgment matrix; the consistency check includes calculating the consistency index CI and the consistency ratio CR, wherein: CI=λ max -n / n-1; CR = CI / RI; In the formula, λ max is the largest eigenvalue of the judgment matrix; n is the number of evaluation indicators in the criterion layer; RI is the average random consistency index, which can be obtained from a table. The criteria for determining whether a matrix passes the consistency test are as follows: if CR < 0.1, the consistency of the matrix is ​​considered acceptable; otherwise, the scoring needs to be readjusted and corrected until the consistency test is passed.

[0015] As a preferred option, in step 4), the classification of the evaluation objects is based on the comprehensive score of the target layer, and the classification rules are as follows: If 8 < target layer comprehensive score ≤ 10, then the evaluation object is strong shade tolerance adaptability; If 6 < target layer comprehensive score ≤ 8, then the evaluation object is of moderate shade tolerance. If 4 < target layer comprehensive score ≤ 6, then the evaluation object has relatively weak shade tolerance. If the overall score of the target layer is ≤4 points, then the evaluation object is intolerant to shade.

[0016] This invention also provides an evaluation system for the shade tolerance of ground cover plants, used to implement the above-mentioned evaluation method for the shade tolerance of ground cover plants, characterized in that it includes: The evaluation index system construction module is used to construct an evaluation index system for the shade tolerance adaptability of ground cover plants; The storage module is used to store the scores of each evaluation indicator in the indicator layer; The calculation module is used to calculate the scores and weights of each evaluation indicator in the criteria layer, as well as the comprehensive score of the target layer; The results output module is used to output the comprehensive score of the target layer and output the shade adaptability level of the current evaluation object based on the shade adaptability level classification rules.

[0017] Compared with the prior art, the beneficial effects of the present invention are as follows: The method and system for evaluating the shade tolerance of ground cover plants of the present invention, by constructing a multi-dimensional index system and a hierarchical analysis model, solves the limitations of traditional single-index evaluation and / or the subjectivity of empirical judgment, and provides a systematic and objective method for the scientific screening of shade-tolerant ground cover plants. It has the advantages of low evaluation subjectivity and high accuracy.

[0018] This invention constructs a multi-dimensional comprehensive indicator evaluation system, breaking through the limitations of single indicators. For the first time, it integrates four criterion layers: ornamental value, ecological value, functional value, and application value, covering multiple specific indicators and solving the problems of fragmented indicators and strong subjectivity in existing methods. This evaluation system adopts cross-domain indicator integration, combining ornamental value, ecological value, functional value, and application value for evaluation, achieving a full-chain evaluation from "single form" to "landscape-ecology-function-application".

[0019] This invention employs the Analytic Hierarchy Process (AHP) to construct a three-level hierarchical structure: "target layer → criterion layer → indicator layer". The indicators in the criterion layer are compared pairwise using the 1-9 scaling method to quantify their relative importance and form a judgment matrix. The indicator weights are calculated using the eigenvector method, and the logical rationality is ensured through consistency checks. The total weight of the criterion layer in this invention is 1, avoiding subjective assignment bias and achieving objectivity and traceability in weight allocation.

[0020] This invention adopts a hierarchical scoring and dynamic evaluation mechanism. The quantitative score of the indicator layer is assigned by expert scoring, field data or equipment testing. The score of the criterion layer is obtained by the arithmetic mean of the indicator layer. The score of the target layer is calculated by weighting the criterion layer, realizing the layer-by-layer aggregation from the bottom indicator to the comprehensive evaluation.

[0021] This invention quantifies the grading system, dividing shade tolerance into four levels based on comprehensive scores. Through clear level thresholds, it provides quantifiable screening criteria for scenarios such as landscaping and ecological restoration, avoiding the ambiguity of traditional experience-based judgments. Detailed Implementation

[0022] The technical solution of the present invention will be clearly and completely described below with reference to the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0023] This invention provides a method for evaluating the shade tolerance of ground cover plants, comprising the following steps: 1) Construct an evaluation index system for the shade tolerance adaptability of ground cover plants; as shown in Table 1, the evaluation index system for the shade tolerance adaptability of ground cover plants includes a target layer, a criterion layer, and an indicator layer; the target layer is the shade tolerance adaptability of the evaluation object, which is ground cover plants; the criterion layer includes evaluation indicators for ornamental value, ecological value, functional value, and application value; in the indicator layer, the evaluation indicators corresponding to ornamental value include leaf color diversity, flowering duration, and crown fullness; the evaluation indicators corresponding to ecological value include carbon sequestration capacity, microbial symbiosis index, and reduction of surface runoff; the evaluation indicators corresponding to functional value include air purification rate, cooling and humidification effect, and dust retention capacity; and the evaluation indicators corresponding to application value include wide range of suitable growing areas, propagation cost, and market demand.

[0024] Table 1: Evaluation Index System for Shade Tolerance Adaptability of Ground Cover Plants

[0025] 2) Quantify and score each indicator in the indicator layer, and obtain the score of each evaluation indicator in the criterion layer based on the score of the evaluation indicators in the indicator layer.

[0026] Each evaluation indicator in the indicator layer has a maximum score of 10 points, and the scores are assigned by experts based on on-site data or professional equipment testing.

[0027] In the evaluation index C1 of the ornamental value B1, leaf color diversity, leaves that remain bright under low light, flowers that open normally, and plants that are compact and beautiful can be rated as 9 or 10 points; leaves that change slightly, flowers that are slightly paler but do not affect the overall ornamental effect, and plants that are basically intact can be rated as 7 or 8 points; and so on.

[0028] In the evaluation indicators of ecological value B2, scores are assigned based on the degree to which plants improve soil fertility in shade-tolerant environments and the number of species they attract to the surrounding area.

[0029] In the functional value B3 indicator evaluation index, the plant's dust retention capacity, noise reduction effect, and absorption of harmful gases are scored by testing with professional equipment in a shade-tolerant environment.

[0030] In the evaluation indicators of the application value B4 level, a comprehensive score is given based on the plant's wide applicability, propagation success rate, and maintenance cost, taking into account practical application cases and relevant data. The ground cover plants to be evaluated are observed and tested in simulated or actual shade-tolerant environments, and scores are assigned according to the scoring criteria for each evaluation indicator.

[0031] 3) Based on the scores of the evaluation indicators in the criteria layer, and combined with the weights of each evaluation indicator in the criteria layer, calculate the comprehensive score of the target layer; 3.1) The score of each evaluation indicator in the criteria layer is obtained by weighted averaging of the scores of each indicator in its corresponding indicator layer: B1=(C1+C2+C3) / 3, B2=(C4+C5+C6) / 3, B3=(C7+C8+C9) / 3, B4=(C 10 +C 11 +C 12 ) / 3; where C1, C2, ..., C 12 B1, B2, B3, and B4 refer to the scores of each evaluation indicator in the indicator layer; B4, B2, B3, and B4 refer to the scores of each evaluation indicator in the criteria layer.

[0032] 3.2) Obtain the weights of each evaluation indicator in the criteria layer. In the criteria layer, the total weight of the four evaluation indicators—ornamental value, ecological value, functional value, and application value—is 1.

[0033] The method for obtaining the weights of each evaluation indicator in the criteria layer includes the following steps: ① For each evaluation index in the criteria layer, perform pairwise comparisons. Based on the 1-9 scaling method (the assignment basis for the 1-9 scaling method is shown in Table 2), score the relative importance of any two evaluation indicators to obtain the following judgment matrix Z: Z=

[0034] In the formula, z ij The score represents the relative importance of the i-th evaluation indicator compared to the j-th evaluation indicator in the criteria layer, where i, j = 1, 2, ..., n, and n is the number of evaluation indicators in the criteria layer.

[0035] Table 2: Assignment Basis for the 1-9 Scale Method

[0036] For example, suppose the judgment matrix Z of the pairwise comparison results obtained from expert scoring or subjective judgment of the four criterion-level evaluation indicators is as follows: Z=

[0037] The first row indicates: comparison of ornamental value B1 with other evaluation indicators at the criterion level: B1 is equally important as B1 (1), B1 is slightly more important than ecological value B2 (3), significantly more important than functional value B3 (5), and significantly more important than application value B4 (4: between slightly important and significantly important). The other rows are similar: for example, B2 is 1 / 3 more important than B1, that is, B1 is slightly more important than B2 (3).

[0038] ② Perform a consistency check on the judgment matrix; First, if there is a logical contradiction in the judgment matrix (such as A being more important than B, B being more important than C, but A being less important than C), it needs to be corrected.

[0039] Secondly, the consistency ratio CR is calculated, where: CI=λ max -n / n-1; CR = CI / RI; In the formula, CI is the consistency index; λ max is the largest eigenvalue of the judgment matrix; n is the number of evaluation indicators in the criterion layer; RI is the average random consistency index, which can be obtained from the table; in this specific implementation, n=4, RI=0.90.

[0040] If CR < 0.1, the consistency of the judgment matrix is ​​considered acceptable; otherwise, the scoring needs to be readjusted and corrected until the consistency test is passed.

[0041] ③ Calculate the geometric mean w of the elements in each row of the judgment matrix. i w i Let be the geometric mean of the i-th evaluation index in the criteria layer; First, calculate the product M of the elements in each row. i = × ×...× ×...× Let i, j = 1, 2, ..., n; then calculate the nth root of the product of each row to obtain the geometric mean w. i : w i =

[0042] ④ Normalize all geometric mean values ​​to obtain the weight W of each evaluation index. i W i The weight of the i-th evaluation index in the criterion layer, i.e., w i The normalized value is W1 + W2 + ... + W i +.....+W n =1.

[0043] First, calculate the geometric mean w. i The sum w = w1 + w2 + ... + w n Then, normalization is performed to obtain the weights: W i =w i / w.

[0044] In this specific implementation, the geometric mean w is first calculated. i The sum w = w1 + w2 + w3 + w4; then normalization is performed to obtain the weights: W1=w1 / w, W2=w2 / w, W3=w3 / w, W4=w4 / w.

[0045] 3.3) Calculate the overall score of the target layer: The overall score of the target layer = B1×W1 + B2×W2 + B3×W3 + B4×W4, where W1 + W2 + W3 + W4 = 1; In the formula, B1, B2, B3, and B4 refer to the scores of each evaluation indicator in the criterion layer; W1, W2, W3, and W4 are the weights of each evaluation indicator in the criterion layer.

[0046] 4) Determine the shade tolerance level of the current evaluation object based on the comprehensive score of the target layer.

[0047] The classification of ground cover plants is based on the comprehensive score of the target layer, and the classification rules are as follows: If the target layer comprehensive score is ≤10, the evaluation object is strong shade tolerance; applicable scenarios: daily direct sunlight ≤15 minutes or full shade environment, such as the bottom of dense forest, deep shadow area on the north side of building, and low light indoor environment.

[0048] If the target layer comprehensive score is ≤8 points, the evaluation object is moderate shade tolerance; applicable scenarios: 15 minutes < average daily direct sunlight (mainly morning or evening sunlight) ≤2 hours, such as sparse woodland and grassland (tree spacing >8 meters), courtyard shade area (within the projection range of deciduous tree crowns), and the east and west wall bases of buildings (1-2 hours of oblique sunlight per day).

[0049] If the overall score of the target layer is ≤6 points, the evaluation object is weak shade tolerance; applicable scenarios: 2 hours < average daily direct sunlight (avoiding strong midday sunlight) ≤4 hours, such as forest edge transition zone (area >5 meters from tree trunk), semi-shaded area of ​​pergola (under climbing frame with 50% shade rate), north-facing slope (shaded gentle slope with a slope <15°).

[0050] If the overall score of the target layer is ≤4 points, the evaluation object is shade intolerance; applicable scenarios: daily average direct sunlight >4 hours, such as full-sun slopes / open lawns (unshaded south-facing areas), roof gardens (platforms without shading facilities), and central median strips of roads (no shade coverage throughout the day).

[0051] The present invention provides an evaluation system for the shade tolerance of ground cover plants, comprising: The evaluation index system construction module is used to construct an evaluation index system for the shade tolerance adaptability of ground cover plants; The storage module is used to store the scores of each evaluation indicator in the indicator layer; The calculation module is used to calculate the scores and weights of each evaluation indicator in the criteria layer, and the comprehensive score in the target layer. The results output module is used to output the comprehensive score of the target layer and output the shade adaptability level of the current evaluation object based on the shade adaptability level classification rules.

[0052] The aforementioned method for evaluating shade tolerance adaptability employs an analytic hierarchy process (AHP) to establish a hierarchical index system. This system includes criterion-level evaluation indicators and indicator-level evaluation indicators. Based on the criterion-level evaluation indicators for shade tolerance adaptability of ground cover plants, weights are assigned to ornamental value, ecological value, functional value, and application value, with the sum of these four weights being 1. The corresponding criterion-level indicators are then scored using the indicator-level evaluation indicators. For example, in the ornamental value indicator, scores are assigned based on the vibrancy of leaf color under low light, the normal opening of flowers with a compact and aesthetically pleasing plant shape, the duration of flowering, and the fullness of the crown, with a maximum score of 10. Other ecological values ​​are also scored based on carbon sequestration capacity, microbial symbiosis index, and surface runoff reduction rate, with a maximum score of 10. Other criterion-level indicators are scored sequentially based on the indicator-level scores, with a maximum score of 10.

[0053] The indicator layer consists of three evaluation indicators, each with a maximum score of 10 points. The scores of the three indicators are weighted and averaged to obtain the score for the criterion layer. Then, the overall shade tolerance score is calculated based on the weights of different criterion layers. The evaluation system of this invention has a maximum score of 10 points. This invention establishes a shade tolerance evaluation indicator system containing multiple criterion layers, each composed of multiple indicator layers. By assigning scores to multiple indicators, the overall score of the evaluation system is obtained, thus completing the evaluation of plant shade tolerance. This method achieves multi-angle, multi-level evaluation of plant shade tolerance, is comprehensive, highly practical, and versatile, and can provide corresponding technical support for plant shade tolerance evaluation.

[0054] This invention patent primarily addresses the issue of a shade tolerance evaluation index system. It calculates index weights using the analytic hierarchy process (AHP), encompassing ornamental, ecological, functional, and application value factors. A weighted index system is constructed, progressing from the target layer to the criterion layer and then to the index layer. Differentiated weights are assigned to the criterion layer and the index layer (flowering period, leaf color, morphology, etc.), and a shade tolerance weight allocation table is calculated. Through comprehensive scoring, the adaptability levels of shade-tolerant plants are classified, thus enabling an objective assessment of the shade tolerance adaptability of ground cover plants.

[0055] For the purposes of this invention, any other modifications or corresponding changes made based on the above description are within the scope of protection of this invention.

[0056] The above description is merely a preferred embodiment of the present invention and does not limit the patent scope of the present invention. All equivalent transformations made using the contents of the present invention under the inventive concept of the present invention, or direct / indirect applications in other related technical fields, are included within the patent protection scope of the present invention.

Claims

1. A method for evaluating the shade tolerance of ground cover plants, characterized in that: Includes the following steps: 1) Construct an evaluation index system for the shade tolerance adaptability of ground cover plants; the evaluation index system for the shade tolerance adaptability of ground cover plants includes a target layer, a criterion layer and an index layer; the target layer is the shade tolerance adaptability of the evaluation object, and the evaluation object is ground cover plants; 2) Quantify and score the evaluation indicators of the indicator layer, and obtain the scores of the evaluation indicators of the criterion layer based on the scores of the evaluation indicators of the indicator layer; 3) Based on the scores of the evaluation indicators in the criterion layer, and combined with the weights of each evaluation indicator in the criterion layer, calculate the comprehensive score of the target layer; 4) Determine the shade tolerance level of the current evaluation object based on the comprehensive score of the target layer.

2. The method for evaluating the shade tolerance of ground cover plants according to claim 1, characterized in that: The evaluation indicators at the criteria level include ornamental value, ecological value, functional value, and application value.

3. The method for evaluating the shade tolerance of ground cover plants according to claim 2, characterized in that: Among the indicators, the evaluation indicators related to ornamental value include leaf color diversity, flowering duration, and crown fullness; the evaluation indicators related to ecological value include carbon sequestration capacity, microbial symbiosis index, and surface runoff reduction rate; the evaluation indicators related to functional value include air purification rate, cooling and humidification effect, and dust retention capacity; and the evaluation indicators related to application value include wide range of suitable growing areas, propagation cost, and market demand.

4. The method for evaluating the shade tolerance of ground cover plants according to claim 1, characterized in that: Each evaluation indicator in the indicator layer is quantitatively scored by experts based on on-site data or equipment testing.

5. The method for evaluating the shade tolerance of ground cover plants according to claim 1, characterized in that: In step 3), the score of each evaluation indicator in the criteria layer is obtained by weighted averaging of the scores of each evaluation indicator in the corresponding indicator layer.

6. The method for evaluating the shade tolerance of ground cover plants according to claim 1, characterized in that: The total weight of each evaluation indicator in the criteria layer is 1.

7. The method for evaluating the shade tolerance of ground cover plants according to claim 1, characterized in that: The method for obtaining the weights of each evaluation indicator in the criterion layer includes the following steps: By comparing each evaluation index in the criterion layer pairwise, and scoring the relative importance of any two evaluation indices using the 1-9 scaling method, the following judgment matrix Z is obtained: Z= ， In the formula, z ij The relative importance score of the i-th evaluation indicator in the criteria layer compared with the j-th evaluation indicator, where i, j = 1, 2, ..., n, and n is the number of evaluation indicators in the criteria layer; Calculate the geometric mean w of the elements in each row of the judgment matrix. i w i Let be the geometric mean of the i-th evaluation index in the criteria layer; The weights W of each criterion-level evaluation index are obtained by normalizing all geometric mean values. i W i The weight of the i-th evaluation index in the criterion layer, i.e., w i The normalized value is W1 + W2 + ... + W i +.....W n =1.

8. The method for evaluating the shade tolerance of ground cover plants according to claim 7, characterized in that: The method for obtaining the weights of each evaluation index in the criterion layer also includes performing a consistency test on the judgment matrix; the consistency test includes calculating the consistency index CI and the consistency ratio CR, wherein: CI=λ max -n / n-1: CR = CI / RI; In the formula, λ max is the largest eigenvalue of the judgment matrix; n is the number of evaluation indicators in the criterion layer; RI is the average random consistency index, which can be obtained from a table. The criteria for determining whether a matrix passes the consistency test are as follows: if CR < 0.1, the consistency of the matrix is ​​considered acceptable; otherwise, the scoring needs to be readjusted and corrected until the consistency test is passed.

9. The method for evaluating the shade tolerance of ground cover plants according to any one of claims 1 to 8, characterized in that: In step 4), the classification of the evaluation objects is based on the comprehensive score of the target layer, and the classification rules are as follows: If 8 < target layer comprehensive score ≤ 10, then the evaluation object is strong shade tolerance adaptability; If 6 < target layer comprehensive score ≤ 8, then the evaluation object is of moderate shade tolerance. If 4 < target layer comprehensive score ≤ 6, then the evaluation object has relatively weak shade tolerance. If the overall score of the target layer is ≤4 points, then the evaluation object is intolerant to shade.

10. A system for evaluating the shade tolerance of ground cover plants, used to implement the method for evaluating the shade tolerance of ground cover plants according to any one of claims 1 to 8, characterized in that: include: The evaluation index system construction module is used to construct an evaluation index system for the shade tolerance adaptability of ground cover plants; The storage module is used to store the scores of each evaluation indicator in the indicator layer; The calculation module is used to calculate the scores and weights of each evaluation indicator in the criteria layer, as well as the comprehensive score of the target layer; The results output module is used to output the comprehensive score of the target layer and output the shade adaptability level of the current evaluation object based on the shade adaptability level classification rules.

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