An intelligent matching and environmental property analysis system for decorative materials

Abstract

This invention discloses an intelligent matching and environmental attribute analysis system for decorative materials, belonging to the field of building decoration technology. It includes an information acquisition module, a material screening module, an environmental scoring module, and a usage adaptation module. The information acquisition module collects scene characteristic information of the building space and user information, including user sensitivity level classification results, and simultaneously acquires relevant environmental data of the decorative materials and environmental parameters of the building space, wherein the decorative material is latex paint. The material screening module determines the concentration threshold of harmful gases based on the user sensitivity level, and, combined with scene characteristic information, obtains selected latex paints through feature extraction, initial screening, and environmental conflict coordination. This invention achieves accurate matching of latex paints and scientific evaluation of their environmental attributes, and can assess the long-term environmental attributes of the selected latex paints, while ensuring the safety of use for users with different sensitivities beyond basic environmental requirements.

Description

Technical Field

[0001] This invention relates to the field of building decoration technology, specifically to a system for intelligent matching and environmental property analysis of decorative materials. Background Technology

[0002] Today, various commercial buildings, such as mixed-use office buildings, maternity and infant centers, hospitals, and educational institutions, generally exhibit tiered basic environmental protection requirements. These basic requirements typically adhere to current national mandatory environmental standards. These standards represent the minimum compliance threshold for commercial buildings to commence basic operation after completion of renovations. They cover key indicators such as concentration limits for major harmful gases and substances like formaldehyde and VOCs, and the environmental protection level of materials. These standards ensure the safety of daily use for the general public and are a core prerequisite for buildings to quickly pass inspection and enter the operational phase. These buildings often have strict requirements regarding the date of formal commencement of use, hoping to put them into operation as soon as possible to safeguard certain commercial interests.

[0003] From the perspective of commercial building operation logic and cost control, there is a very obvious contradiction: On the one hand, if a building only needs to meet basic national mandatory environmental standards after completion, the decoration cycle can be significantly shortened, material procurement and construction costs can be controlled, and commercial buildings can be put into operation as soon as possible to realize investment returns quickly. This is also one of the core demands of most commercial building operators. On the other hand, in actual operation, some scenarios may face the presence or high-frequency use of special groups, such as infants, patients with severe respiratory illnesses, the elderly, and people with low immunity. These special groups have a much lower tolerance for harmful gases in the environment than the general population. Although the minimum limits stipulated by national mandatory standards can ensure the safety of the general population, they may not be able to completely avoid the health risks caused by long-term exposure to low concentrations of harmful gases to special groups, and cannot ensure their safety of use. In reality, my country's national mandatory standards in some areas are often lower than the standards set by countries and regions such as Europe and Japan. People have certain concerns about this and hope that there will be environmental protection requirements higher than the national mandatory standards in these special scenarios.

[0004] However, adopting extremely high environmental standards for the entire construction area of ​​a commercial building from the initial stages of renovation will bring a series of problems that cannot be ignored: First, the decoration materials and construction techniques required for high environmental standards are often expensive, leading to a significant increase in the total renovation cost. In some scenarios, the cost increase can reach 30%-50% of that of ordinary renovation, significantly increasing the upfront investment pressure on commercial buildings. Second, the supply chain maturity of high environmental standard materials is relatively low. Some special materials may have problems such as long procurement cycles and unstable supply, which will prolong the overall construction cycle and affect the opening progress and operation plan of commercial buildings. Third, for most functional areas that only need to meet the needs of the general public, excessively pursuing high environmental standards is a waste of resources and does not conform to the economic principles of commercial operation.

[0005] Chinese invention patent publication number CN119005784A discloses a comprehensive evaluation method for indoor air environment based on the analytic hierarchy process (AHP). This method includes: defining parameter indicators characterizing the indoor air environment, including thermal environment, humidity environment, draft sensation, thermal comfort, indoor PM2.5, indoor TVOC, indoor formaldehyde, and indoor CO2; constructing a judgment matrix using the AHP and calculating corresponding weight values; and constructing a comprehensive indoor air environment scoring system based on the scores of each indicator and the calculated weights of each indicator. Specifically, the thermal environment indicator is scored based on the indoor temperature under cooling and heating conditions; the humidity environment indicator is scored based on the relative humidity under cooling and heating conditions; the draft sensation indicator is scored based on the fan speed setting of the indoor unit; the thermal comfort indicator is scored based on the absolute value of thermal comfort; and indoor PM2.5, indoor TVOC, indoor formaldehyde, and indoor CO2 are scored based on the concentration of their respective pollutants.

[0006] However, this method only detects a limited range of factors and does not consider the impact of material selection on environmental protection. It fails to implement environmental protection through intelligent material selection, making it difficult to obtain environmental scores that accurately reflect real-world scenarios and predict future environmental conditions. Furthermore, it does not differentiate between groups with different levels of sensitivity after renovation, failing to meet the diverse environmental requirements of contemporary populations. Summary of the Invention

[0007] The purpose of this invention is to provide a smart matching and environmental property analysis system for decorative materials to solve the problems mentioned in the background.

[0008] To achieve the above objectives, this invention provides an intelligent matching and environmental attribute analysis system for decorative materials, including an information acquisition module, a material screening module, an environmental scoring module, and a usage adaptation module. The system first collects information such as building scene characteristics and population sensitivity levels to determine harmful gas concentration thresholds. Then, it completes the screening of specific materials, such as latex paint, through multi-dimensional parameter extraction, conflict coordination, and dynamic weight allocation. Next, it generates an environmental score based on a dual scoring mechanism of measured and predicted values, and improves the accuracy of the environmental score through calibration and feedback optimization. Finally, it matches a baseline ventilation cycle and dynamically adjusts the appropriate usage time for different sensitive groups based on formaldehyde and VOC concentration trends, achieving precise matching and long-term application of latex paint and environmental scoring.

[0009] Specifically, this system includes an information collection module, a material screening module, an environmental rating module, and a usage adaptation module; The information collection module is used to collect scene characteristic information and user information of the building space. The user information includes the results of the sensitivity level classification of the user group. At the same time, it obtains relevant environmental protection data of the decorative materials and environmental parameters of the building space. The decorative material is latex paint. The material screening module is used to determine the concentration threshold of harmful gases based on the sensitivity level of the population, and, in combination with scene characteristic information, obtain the selected latex paint through feature extraction, preliminary screening and environmental conflict coordination. The environmental rating module is used to generate a first environmental rating of latex paint based on measured data and scene characteristic information after the decoration is completed, and to generate a second environmental rating based on measured data and prediction by quantifying rating parameters. It also includes a feedback optimization unit, which obtains a third environmental rating based on the first environmental rating and the second environmental rating. The first environmental score is obtained based on the attenuation characteristic compliance, measured deviation rate, environmental coupling effect, long-term release stability and scenario adaptability. The second environmental score is obtained based on the scenario characteristic information, including usage frequency, usage duration, population flow, degree of enclosure and ventilation conditions. The aforementioned adaptation module is used to match the ventilation cycle based on the third environmental protection score and predict the appropriate usage time for different groups based on their sensitivity levels.

[0010] This system features a clear division of labor among its modules. Through the collaborative design of four main modules—information collection, material selection, environmental scoring, and usage adaptation—it addresses the issue of specific groups of people who may require occupancy even in buildings with standard environmental requirements. These groups are highly sensitive to air pollution, exceeding the national mandatory standards for such spaces. In such cases, the information collection module specifically incorporates the sensitivity level of the group and environmental data specific to latex paint. The material selection module sets harmful gas thresholds based on the sensitivity level, allowing for the selection of latex paints that are friendly to these special groups. If, due to cost constraints, only latex paint meeting national mandatory standards is available, the environmental scoring module combines measured and predictive scoring with feedback optimization, resulting in a more accurate environmental score. Furthermore, the environmental score can provide guidance to these special groups after the latex paint application is completed and within one year, indicating when entry is permitted, thus resolving the issue of some highly sensitive individuals wanting to enter buildings with standard environmental requirements.

[0011] Optionally, the user information collected by the information collection module includes three levels of user sensitivity, with level three being the highest sensitivity and level one being the lowest sensitivity, and a harmful gas concentration threshold corresponding one-to-one with each of the three levels of user sensitivity. The harmful gas concentration threshold includes formaldehyde concentration threshold and VOC concentration threshold. The formaldehyde concentration thresholds are as follows: ≤0.02mg / m³ for Level 3 sensitive populations, ≤0.05mg / m³ for Level 2 sensitive populations, and ≤0.08mg / m³ for Level 1 sensitive populations. The VOC concentration thresholds are as follows: ≤0.1mg / m³ for Level 3 sensitive population, ≤0.3mg / m³ for Level 2 sensitive population, and ≤0.45mg / m³ for Level 1 sensitive population. The system acquires ventilation, temperature, and humidity parameters of the building space, as well as data on harmful gases at preset time points, to provide basic data for the environmental scoring module's scoring calculations.

[0012] By categorizing these special population groups into three levels based on thresholds to match high-sensitivity needs, the sensitivity of the population is divided into three levels, each corresponding to specific formaldehyde and VOC concentration thresholds. The formaldehyde and VOC concentration values ​​for Level 1 sensitive groups reference national standards, allowing for cost savings when selecting latex paint. For special spaces like postpartum care centers, parents are often concerned about environmental conditions, even if mandatory national standards are met. In this case, standards from regions with strict environmental requirements, such as Europe and Japan, are introduced. Through clear threshold quantification, latex paint can be precisely selected, alleviating their concerns to some extent when using paint that meets the corresponding standards. Furthermore, through environmental scoring, based on factors such as temperature and humidity that significantly affect formaldehyde and VOC release, these data can be quantified to make the scoring more closely reflect actual usage environments. This allows for the calculation of specific entry time predictions when current environmental conditions for high-sensitivity groups do not meet the requirements for occupancy.

[0013] Optionally, the feature extraction of the material screening module is to extract environmental parameters of latex paint from a preset latex paint database; The environmental parameters of the latex paint include formaldehyde release, VOC release, and the attenuation characteristics of formaldehyde and VOC release. The initial screening employs a mechanism combining threshold screening and fuzzy comprehensive evaluation. A weighted score is applied to each environmental parameter using hierarchical analysis, and latex paints with weighted scores exceeding a preset threshold corresponding to the public's sensitivity level are included in the initial selection set. Formaldehyde emission, VOC emission, and the decay characteristics of formaldehyde and VOC emissions are all environmental parameters of latex paint.

[0014] When selecting latex paint, a single screening method is common, but it cannot meet today's stratified environmental protection requirements. Focusing on core environmental parameters improves the targeting of the screening process. Feature extraction is used specifically to target formaldehyde emission, VOC emission, and decay characteristics of latex paint. These are key indicators affecting the health of specific populations, avoiding inefficient screening due to irrelevant parameters and ensuring that the screened latex paints meet the core environmental performance standards. Furthermore, a weighted scoring method using hierarchical analysis considers not only emission levels but also decay characteristics, avoiding the problem of missing products that meet one standard but fail others due to single-threshold screening. Parameters are extracted from a pre-set latex paint database, eliminating the need for real-time data collection, shortening the screening cycle. The database can also include pre-verified environmentally friendly products, reducing the analysis cost of inferior products and making latex paint screening more efficient.

[0015] Optionally, the environmental conflict coordination process of the material screening module includes the following steps: Step 1: Overlay calculation: Based on the environmental protection data of other decorative materials collected by the information collection module, calculate the formaldehyde release and VOC release of latex paint in the initial selection, and the indoor formaldehyde concentration and VOC concentration after combining with other decorative materials. Step 2: Trigger judgment. If either the formaldehyde concentration or VOC concentration exceeds the concentration threshold corresponding to the sensitivity level of the relevant population, environmental conflict coordination will be triggered. If both indicators meet the threshold requirements, no further conflict coordination operation is required. Step 3: Conflict Coordination. Select at least one of the following methods to carry out the coordination operation: replace with the same grade of latex paint with lower formaldehyde or VOC emission, upgrade the environmental protection standard of the latex paint, or add a dedicated formaldehyde removal and purification auxiliary layer. Step 4: Verification and validation. After completing the coordination operation, repeat the superposition calculation in Step 1 until the formaldehyde concentration and VOC concentration do not exceed the concentration threshold of the corresponding population sensitivity level.

[0016] Painting with latex paint is often the final step in interior decoration. The formaldehyde and VOC emissions from latex paint are crucial for certain groups with extremely high environmental protection requirements. If the initially selected latex paint does not meet the requirements, alternative solutions can be offered, such as replacing it with a lower emission product, upgrading its environmental standards, or adding a formaldehyde-removing layer. The choice can be made based on the actual situation; if the budget allows, upgrading the standards is preferable. For example, if the current budget allows, an upgraded environmental standard latex paint with a higher standard can be chosen. After reselecting the latex paint, one or more verifications should be conducted until a suitable latex paint is found that meets the threshold requirements of this specific group.

[0017] Optionally, the first environmental protection score is calculated as follows: based on five scoring items, namely, the degree of compliance of attenuation characteristics, the measured deviation rate, the environmental coupling effect, the long-term release stability and the scene adaptability, the score of each scoring item is weighted and summed with the corresponding preset weight; the score is based on the actual measurement results of the actual working conditions after the decoration is completed, and the data comes from the monitoring data after the decoration is completed, which is used to characterize the actual environmental protection performance of latex paint in the building space at the current moment. The second environmental protection score is calculated as follows: first, the unit time decay rate of the harmful gas is calculated based on the actual measurement under the maximum ventilation condition; then, a prediction model is constructed by combining the scene characteristic information; the decay rate, the first environmental protection score, and quantitative parameters such as usage frequency, usage duration, population flow, degree of enclosure, and ventilation conditions are input into the model for calculation; the second environmental protection score is used to predict the environmental performance corresponding to the formaldehyde and VOC release and decay trend of latex paint within 1 year after the completion of decoration.

[0018] The first environmental score, calculated based on five indicators including measured attenuation characteristics compliance and measured deviation rate, comprehensively covers the core dimensions of the current environmental performance of latex paint and accurately reflects the current environmental status. For example, the attenuation characteristics compliance reflects whether the formaldehyde or VOC release has decreased to meet standards over time, and long-term release stability ensures that it will not suddenly exceed the standard in the short term. These indicators affect the safety of entering this building space over a longer period of time. The second environmental score, through the attenuation rate and scenario parameters (such as usage frequency and ventilation conditions), builds a model to predict the environmental performance of the latex paint in this building space within one year. This allows special groups and stakeholders to anticipate long-term use risks in advance, such as whether the standard will be exceeded within one year in a long-term closed environment, and thus make corresponding preparations.

[0019] Optionally, the feedback optimization unit of the environmental protection scoring module is implemented as follows: a calibration model is established using historical environmental protection data of the same population sensitivity level and the same scene characteristics; the corrected second environmental protection score is calibrated, and the calibrated third environmental protection score and score confidence level are output; the third environmental protection score is compared with the formaldehyde concentration and VOC concentration threshold of the corresponding population sensitivity level to generate differentiated entry prompt information; the information is dynamically updated in conjunction with real-time formaldehyde concentration and VOC concentration fluctuation data, and the entry prompt information for the corresponding sensitivity level population is output.

[0020] Calibration based on historical data of the same sensitivity and scenario avoids errors caused by inconsistent scoring standards in different scenarios. For example, for the same level 3 sensitive group, the scoring calibration in both enclosed and ventilated rooms is more realistic, making the third environmental protection score more accurate and thus improving the reliability of predicting the entry time of special groups. Differentiated prompts are generated based on the comparison results between the third score and the threshold. For example, level 3 sensitive groups need to wait longer, while level 1 groups can enter earlier, avoiding the waste of resources caused by a "one-size-fits-all" prompt (such as high-sensitivity groups entering early at risk, and low-sensitivity groups waiting too long), directly addressing the difference in environmental protection needs between special groups and the general population. At the same time, prompts are dynamically updated in conjunction with real-time formaldehyde and VOC fluctuation data. For example, when ventilation suddenly deteriorates and the concentration rises, the entry prompts are adjusted in a timely manner to avoid health risks to special groups due to static judgments.

[0021] Optionally, the feedback optimization unit also includes a parameter optimization and verification mechanism: when the measured formaldehyde concentration and VOC concentration are lower than the basic threshold of the corresponding population, the coupling coefficient weight corresponding to the environmental coupling influence in the first environmental protection score is optimized in reverse, and the scenario-based parameters such as the benchmark ventilation cycle and threshold correction coefficient are updated simultaneously. The optimized parameters were applied to similar building spaces using a comparative verification method. The accuracy of latex paint selection, environmental score accuracy, and prediction accuracy of adaptation time for different groups of people were compared before and after optimization. When all three accuracy indicators improved by ≥8%, the optimized parameters were solidified and the system parameter library was updated.

[0022] After the environmental rating is generated, it may not be accurate in certain special cases. In such cases, further optimization is performed by reverse optimization of parameters. For example, when the measured concentration is below the threshold, parameters such as the environmental coupling coefficient weight and ventilation cycle of the first rating are optimized, allowing the system to self-adjust according to actual usage. For instance, after multiple compliances in a specific scenario (such as a hospital operating room), the parameters are optimized to better suit the needs of specific populations in that scenario, improving the accuracy of subsequent similar projects. Through comparative verification with similar spaces, parameters are only solidified after an improvement of ≥8% in the three accuracy indicators, ensuring accurate rating and precise entry time prediction. In the long run, this makes the system increasingly adaptable to the needs of specific populations. The parameter library is updated and iterated to form a long-term optimization mechanism: the solidified parameters are updated to the system library, providing better basic data for subsequent projects, avoiding repeated trial and error, and reducing the analysis costs of subsequent projects.

[0023] Optionally, the calibration model includes selecting historical samples with a similarity of ≥85% to the current building space's population sensitivity level and scene characteristics, extracting the environmental protection scores of the historical samples and formaldehyde and VOC concentration change data at preset time points in the period to construct the calibration model; and correcting the current second environmental protection score through the calibration model. When the confidence level of the score is greater than 90%, the calibrated environmental score will be used for subsequent benchmark ventilation cycle matching and determination of appropriate usage time for different groups of people. When the confidence level of the score is ≤90, the measured data of formaldehyde and VOC concentrations and the relevant parameters of the score are re-verified. If the score still fails to meet the standard after two consecutive verifications, the information collection module is triggered to re-collect the environmental parameters of the building space and the environmental data of latex paint until the confidence level meets the standard.

[0024] Even after optimization, environmental ratings may still not accurately reflect the specific circumstances of real-world scenarios, requiring further verification. By screening samples for similarity, historical samples with a similarity ≥85% are selected to build the model. This ensures a high degree of match between the calibration data and the current environment. For example, in scenarios involving Level 3 sensitive populations and nurseries, this avoids biases caused by using historical data from office scenarios for calibration, making the third rating more aligned with the actual needs of specific populations. Simultaneously, confidence levels are controlled, with scores exceeding 90 being adopted to eliminate potential data errors, such as those arising from low confidence levels. Finally, if two consecutive verifications fail to meet the standards, data is recollected to avoid accidental errors from single verifications, ensuring the accuracy of collected environmental parameters and latex paint data, thus making the environmental rating more reliable.

[0025] Optionally, the use of the adaptation module to match the benchmark ventilation cycle based on the third environmental protection score includes: pre-constructing a basic ventilation cycle database, which is classified into three categories of parameters: population sensitivity level, scene characteristic information, and ventilation conditions; using a nearest neighbor matching algorithm, with similarity calculation index, comparing the currently collected population sensitivity level, actual scene characteristic information of the building space, and actual ventilation conditions with the database classification parameters, and selecting the benchmark ventilation cycle range corresponding to the category with the highest similarity; and determining the specific benchmark ventilation cycle by combining the environmental protection score level output by the environmental protection score module, wherein the correspondence between the environmental protection score level and the third environmental protection score is as follows: a third environmental protection score ≥90 points is the highest level, 60-89 points is the medium level, and <60 points is the lowest level; the environmental protection score level and the benchmark ventilation cycle are negatively correlated, and the benchmark ventilation cycle corresponding to the highest score level is shortened by a preset proportion compared to the lowest score level.

[0026] The rationality of ventilation cycles is improved through a categorized database: A database is constructed based on population sensitivity, scenario characteristics, and ventilation conditions to avoid using the same ventilation cycle standard for different scenarios and populations, making cycle matching more tailored to the needs of specific populations. The nearest neighbor matching algorithm can quickly locate highly similar categories, making the matching more accurate. Furthermore, the rating level is negatively correlated with the ventilation cycle; a high rating corresponds to a short cycle, and a low rating corresponds to a long cycle. This allows for more efficient use of resources in building spaces while ensuring environmental protection, enabling specific populations to enter the building space more quickly.

[0027] Optionally, the logic for using the adaptation module to predict the appropriate usage time for different groups based on their sensitivity levels is as follows: An additional ventilation buffer period is set according to the group's sensitivity level; for Level 2 sensitive groups, it is 30% of the baseline ventilation period; for Level 3 sensitive groups, it is 50% of the baseline ventilation period; and for Level 1 sensitive groups, no buffer period is set. Combining real-time formaldehyde and VOC concentration fluctuation data collected by the environmental scoring module and formaldehyde and VOC concentration data at preset time points obtained by the information collection module, the decreasing trend of formaldehyde and VOC concentrations is analyzed, and the buffer period is dynamically adjusted: if the formaldehyde and VOC concentration decreases by ≥5% for 7 consecutive days, the additional ventilation buffer period is shortened by 10%; if the formaldehyde and VOC concentrations do not decrease or increase for 3 consecutive days, the additional ventilation buffer period is extended by 20%. The final appropriate usage time = baseline ventilation period + adjusted additional ventilation buffer period. After determination, the applicable range for the corresponding user group is marked.

[0028] To allow people with level 2 and 3 sensitivities to enter the building space more quickly, an additional buffer period is set (50% for level 3 and 30% for level 2). No buffer period is set for level 1 because it has already met the national mandatory standards. The period is also dynamically adjusted according to the decreasing trend of formaldehyde and VOC concentrations, effectively shortening the time for special groups to enter the building.

[0029] In summary, the beneficial effects of this system lie in meeting the environmental protection needs of special populations that exceed national standards. By classifying population sensitivity thresholds and collecting core data in a targeted manner, it avoids the risk of combined pollution starting from the selection of latex paint. Through an environmental scoring system, it controls the current and long-term environmental performance within one year. Furthermore, by differentiating and dynamically adjusting ventilation cycles, it clarifies the appropriate entry times for special populations and possesses a parameter optimization and iteration mechanism, which improves the accuracy of latex paint selection, environmental scoring, and prediction, thereby quantitatively addressing the environmental protection needs of special populations that exceed national standards. Attached Figure Description

[0030] The present invention can be further illustrated by the non-limiting embodiments given in the accompanying drawings; Figure 1 This is an overall flowchart of the present invention; Figure 2 This invention outlines the process for coordinating environmental conflicts during material screening. Figure 3 This is a flowchart of the environmental scoring module of the present invention; Figure 4 This is a flowchart of the parameter optimization and verification mechanism of the present invention. Detailed Implementation

[0031] To enable those skilled in the art to better understand the present invention, the technical solution of the present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0032] The following detailed description of specific embodiments is merely for the purpose of helping to understand the method and core ideas of the present invention. It should be noted that those skilled in the art can make various improvements and modifications to the present invention without departing from its principles, and these improvements and modifications also fall within the scope of protection of the claims of the present invention.

[0033] Based on the aforementioned balance requirements between cost and efficiency, compliance and safety, this application prioritizes materials that meet basic standards and offer excellent cost-effectiveness during the commercial building renovation phase, with ensuring compliance with mandatory national environmental standards as the core premise. It optimizes the construction process to ensure the building can meet compliance requirements and commence basic operation in the shortest possible time, maximizing both commercial benefits and construction efficiency. Furthermore, considering the specific needs of certain groups that may arise during actual operation, a specialized analytical model is used to accurately predict the entry time for infants, patients with severe respiratory illnesses, and other special groups. This prediction is based not only on the building's current environmental monitoring data but also on multiple dimensions such as the decay patterns of harmful gas release from materials, dynamic changes in ventilation conditions, and the influence of environmental temperature and humidity, resulting in a scientifically sound entry timeframe.

[0034] This embodiment provides an information acquisition module, a material screening module, an environmental rating module, and a usage adaptation module. The information acquisition module collects data through various methods, including sensors, data interfaces, and manual input. Specifically, it includes: scene characteristic information of the building space: obtained through on-site surveys and manual input. Specific equipment can be used, such as a portable air formaldehyde meter with a resolution of 0.001 mg / m³, and a portable VOC detector with a resolution ≥0.01 mg / m³ for VOC detection, to ensure the accuracy of the measured data and provide reliable data support for threshold comparison and environmental assessment. On-site measurements included building space type (e.g., residential, kindergarten, office, hospital, etc.), space area, degree of enclosure, number and location of ventilation openings, daily usage frequency, usage duration, and expected pedestrian flow. User population information was obtained through questionnaires and on-site surveys, including user demographics (e.g., whether it includes the elderly, children, pregnant women, etc.). Based on this demographic composition, user sensitivity levels were categorized into three levels: Level 3 (highest sensitivity, including newborns, pregnant women, frail elderly, and patients with severe respiratory illnesses), Level 3 (high sensitivity, including those with illnesses), and Level 1 (lowest sensitivity, including healthy adults). Simultaneously, [the text abruptly ends here, likely due to an incomplete sentence or missing information]. The three sensitivity levels correspond to specific hazardous gas concentration thresholds. For formaldehyde, the thresholds are: Level 3 sensitive individuals ≤ 0.02 mg / m³, Level 2 sensitive individuals ≤ 0.05 mg / m³, and Level 1 sensitive individuals ≤ 0.08 mg / m³. For VOCs, the thresholds are: Level 3 sensitive individuals ≤ 0.1 mg / m³, Level 2 sensitive individuals ≤ 0.3 mg / m³, and Level 1 sensitive individuals ≤ 0.45 mg / m³. Unless otherwise specified, formaldehyde and VOC concentrations refer to measurements taken after the space has been sealed for one hour. Formaldehyde and VOC concentration standards are based on national standards, international standards, and WHO recommendations. For example, my country's "Indoor Air Quality Standard" (GB / T 18883-2022) stipulates a one-hour average formaldehyde concentration limit of 0.08 mg / m³. Other relevant standards have been adjusted to suit the physiological tolerance characteristics of sensitive populations.

[0035] The data is obtained through a pre-set latex paint database, which stores environmental parameters such as formaldehyde release, VOC content, and harmful gas release attenuation characteristics of various latex paints; building space environmental parameters are obtained through temperature and humidity sensors and harmful gas detection sensors deployed in the building space, including ventilation temperature and humidity parameters and measured data of harmful gas concentrations at preset time points every day (such as 8:00 am, 12:00 pm, 6:00 pm, and 10:00 pm).

[0036] For example, this can be implemented in the guest rooms of a postpartum care center. The core user group in this scenario is postpartum women and newborns, and the relevant information is as follows: 1. Population information: Level 3 sensitive groups (postpartum women and newborns), corresponding to formaldehyde threshold ≤0.02mg / m³ and VOC threshold ≤0.1mg / m³; 2. Scene characteristics: Maternity center guest room (high degree of enclosure, mechanical ventilation, twice a day, 1 hour each time); 3. Environmental data of latex paints: formaldehyde emission (A: 0.01mg / (m²·h), B: 0.02mg / (m²·h), C: 0.03mg / (m²·h)), VOC emission (A: 0.05mg / (m²·h), B: 0.1mg / (m²·h), C: 0.15mg / (m²·h)), decay period (A: 15 days, B: 20 ​​days, C: 25 days), and decay rate (A: 80%, B: 75%, C: 70%) of candidate latex paints A, B, and C.

[0037] 4. Environmental parameters: Guest room volume is 70 cubic meters, and latex paint coverage is 60 square meters.

[0038] The claims of the present invention will be further described based on the specific scenarios described above: A smart matching and environmental property analysis system for decorative materials includes an information acquisition module, a material screening module, an environmental scoring module, and a usage adaptation module. The information collection module is used to collect scene characteristic information and user information of the building space. The user information includes the results of the sensitivity level classification of the user group. At the same time, it obtains relevant environmental protection data of the decorative materials and environmental parameters of the building space, among which the decorative material is latex paint. The material screening module is used to determine the concentration threshold of harmful gases based on the sensitivity level of the population, and combined with scene characteristic information, to obtain the selected latex paint through feature extraction, preliminary screening and environmental conflict coordination. The environmental rating module is used to generate a first environmental rating based on actual measured data and scene characteristic information after the decoration is completed, and a second environmental rating based on predicted environmental rating by quantifying the rating parameters. It also includes a feedback optimization unit, which obtains a third environmental rating based on the first and second environmental ratings. The first environmental score is based on the attenuation characteristics compliance, measured deviation rate, environmental coupling effect, long-term release stability and scenario adaptability. The second environmental score is based on scenario characteristic information, including usage frequency, usage duration, population flow, degree of enclosure and ventilation conditions. An adaptation module is used to match the ventilation cycle based on the third environmental protection score and predict the appropriate usage time for different groups based on their sensitivity levels.

[0039] The information collection module collects user information including three levels of sensitivity, with level three being the highest sensitivity and level one being the lowest sensitivity. Each level of sensitivity corresponds to a specific threshold for harmful gas concentration, which includes formaldehyde concentration threshold and VOC concentration threshold. The formaldehyde concentration thresholds are as follows: ≤0.02mg / m³ for Level 3 sensitive populations, ≤0.05mg / m³ for Level 2 sensitive populations, and ≤0.08mg / m³ for Level 1 sensitive populations. The VOC concentration thresholds are as follows: ≤0.1mg / m³ for Level 3 sensitive population, ≤0.3mg / m³ for Level 2 sensitive population, and ≤0.45mg / m³ for Level 1 sensitive population. The system acquires ventilation, temperature, and humidity parameters of the building space, as well as data on harmful gases at preset time points, to provide basic data for the environmental scoring module's scoring calculations.

[0040] The feature extraction in the material screening module involves extracting environmental parameters of latex paint from a pre-set latex paint database. Environmental parameters for latex paint include formaldehyde emission, VOC emission, and the decay characteristics of formaldehyde and VOC emissions. The initial screening adopts a mechanism that combines threshold screening and fuzzy comprehensive evaluation. The weighted scores of each environmental parameter are calculated by hierarchical analysis, and latex paints with weighted scores greater than the preset threshold corresponding to the sensitivity level of the population are included in the initial selection set.

[0041] Implementation of the material screening module: feature extraction, The core environmental parameters of candidate latex paints A, B, and C (corresponding to claim 3) are extracted as follows: the formaldehyde release of candidate latex paint A is 0.01 mg / (m²·h), the VOC release is 0.05 mg / (m²·h), the decay period is 15 days, and the decay rate is 80%. Candidate latex paint B has a formaldehyde emission of 0.02 mg / (m²·h), a VOC emission of 0.1 mg / (m²·h), a decay period of 20 days, and a decay rate of 75%. Candidate latex paint C has a formaldehyde emission of 0.03 mg / (m²·h), a VOC emission of 0.15 mg / (m²·h), a decay period of 25 days, and a decay rate of 70%.

[0042] Initial screening: Threshold screening + weighted scoring calculation 1. Threshold Screening: Based on the three-tiered sensitive population threshold, the indoor concentration of a single latex paint after use is calculated using a simplified formula, and products exceeding the standard are eliminated. Calculation logic: Indoor concentration = (Material release amount × Coverage area × Ventilation interval time) ÷ (Room volume × Ventilation dilution coefficient). The ventilation interval time is set to 11 hours (2 hours of ventilation per day, with an 11-hour interval), and the ventilation dilution coefficient is set to 0.8 (suitable for the ventilation conditions of postpartum care centers).

[0043] Calculation method: The VOC emission of latex paint C is 0.15 mg / (m²·h). Substituting into the calculation: Indoor VOC concentration = (0.15 × 60 × 11) ÷ (70 × 0.8) ≈ 1.8 mg / m³, which far exceeds the threshold of 0.1 mg / m³, so it is directly eliminated; The calculation results of latex paints A and B both meet the standards (A: formaldehyde concentration ≈ 0.01 mg / m³, VOC concentration ≈ 0.06 mg / m³; B: formaldehyde concentration ≈ 0.02 mg / m³, VOC concentration ≈ 0.1 mg / m³), so proceed to the next step of scoring.

[0044] 2. Weighted Scoring: The weighting method is based on the analytic hierarchy process as described in claim 3, with formaldehyde emission weighting at 0.4, VOC emission weighting at 0.3, and decay rate weighting at 0.3, for a maximum score of 100. Scoring logic: Individual score = (threshold ÷ measured concentration) × 100 (maximum score 100), total score = formaldehyde score × 0.4 + VOC score × 0.3 + decay rate × 0.3.

[0045] Calculation method: Latex Paint A: Formaldehyde score = (0.02 ÷ 0.01) × 100 = 200 (rounded to 100), VOC score = (0.1 ÷ 0.06) × 100 ≈ 167 (rounded to 100), decay rate 80, total score = 100 × 0.4 + 100 × 0.3 + 80 × 0.3 = 94 points; Latex Paint B: Formaldehyde score = (0.02 ÷ 0.02) × 100 = 100, VOC score = (0.1 ÷ 0.1) × 100 = 100, decay rate 75, total score = 100 × 0.4 + 100 × 0.3 + 75 × 0.3 = 92.5 points.

[0046] Specifically, the environmental conflict coordination process for the material screening module includes the following steps: Step 1: Overlay calculation: Based on the environmental protection data of other decorative materials collected by the information collection module, calculate the formaldehyde release and VOC release of latex paint in the initial selection, and the indoor formaldehyde concentration and VOC concentration after combining with other decorative materials. Step 2: Trigger judgment. If either the formaldehyde concentration or the VOC concentration exceeds the concentration threshold corresponding to the sensitivity level of the relevant population, environmental conflict coordination will be triggered. If both indicators meet the threshold requirements, no further conflict coordination operations are required. Step 3: Conflict Coordination. Select at least one of the following methods to carry out the coordination operation: replace with the same grade of latex paint with lower formaldehyde or VOC emission, upgrade the environmental protection standard of the latex paint, or add a dedicated formaldehyde removal and purification auxiliary layer. Step 4: Verification and validation. After completing the coordination operation, repeat the superposition calculation in Step 1 until the formaldehyde concentration and VOC concentration do not exceed the concentration threshold of the corresponding population sensitivity level.

[0047] Taking postpartum care centers as an example, the initial screening threshold is set at 85 points. Both latex paint A and B meet the standard and enter the environmental conflict coordination stage.

[0048] Environmental conflict coordination calculations are performed in four steps: overlay calculation, trigger determination, conflict coordination, and verification. 1. Overlay Calculation: Collect environmental data (total formaldehyde release 0.01 mg / (m²·h), total VOC release 0.02 mg / (m²·h)) of other decorative materials in the postpartum care center (e.g., flooring, furniture), and calculate the combined concentration using latex paints A and B. Calculation example (latex paint A combination): Combined formaldehyde concentration = (0.01 + 0.01) × 60 × 11 ÷ (70 × 0.8) ≈ 0.24 mg / m³ > 0.02 mg / m³, triggering a conflict; 2. Conflict resolution: Replace latex paint A with the upgraded low-emission version (formaldehyde emission 0.005mg / (m²·h), VOC emission 0.03mg / (m²·h)); 3. Verification and validation: The combined concentrations were recalculated. The formaldehyde concentration was approximately 0.01 mg / m³ and the VOC concentration was approximately 0.04 mg / m³, both of which met the standards. Therefore, this upgraded latex paint was selected as the final solution.

[0049] The calculation method for the first environmental protection score is as follows: based on five scoring items, namely, the degree of compliance of attenuation characteristics, the measured deviation rate, the environmental coupling effect, the long-term release stability and the scene adaptability, the score of each scoring item is weighted and summed with the corresponding preset weight; this score is based on the actual measurement results of the actual working conditions after the decoration is completed, and the data comes from the monitoring data after the decoration is completed, which is used to characterize the actual environmental protection performance of latex paint in the building space at the current moment. The second environmental protection score is calculated as follows: First, the unit time decay rate of harmful gases is calculated based on the actual measurement under the maximum ventilation condition. Then, a prediction model is constructed by combining the scene characteristic information. The decay rate, the first environmental protection score, and quantitative parameters such as usage frequency, usage duration, population flow, degree of enclosure, and ventilation conditions are input into the model for calculation. The second environmental protection score is used to predict the environmental performance corresponding to the formaldehyde and VOC release and decay trend of latex paint within one year after the completion of decoration.

[0050] The environmental scoring module calculates the first and second environmental scores sequentially, as detailed below: First Environmental Protection Rating (Actual Measurement) Five core indicators were selected according to claim 5, each with a weight of 0.2, for a total score of 100. The scoring logic was: Total Score = (Attenuation Characteristic Compliance + Measured Deviation Rate + Environmental Coupling Influence + Long-Term Release Stability + Scene Adaptability) × 0.2. After renovation, the measured data were: Attenuation Characteristic Compliance 95 points, Measured Deviation Rate 95 points, Environmental Coupling Influence 90 points, Long-Term Release Stability 90 points, Scene Adaptability 98 points. The total score was (95 + 95 + 90 + 90 + 98) × 0.2 = 93.6 points, rounded to 94 points.

[0051] Second Environmental Rating (Predictive) According to claim 5, the following calculations are made: (1) First, calculate the decay rate per unit time: decay rate = (initial concentration - stable concentration) ÷ (decay period × initial concentration), initial formaldehyde concentration 0.01 mg / m³, stable concentration 0.002 mg / m³, decay period 15 days, decay rate ≈ 0.05; (2) The comprehensive score of the scenario parameters is 90 points (based on usage frequency, ventilation conditions, etc.); (3) The predicted score = decay rate × 365 × 10 × 0.3 + first environmental protection score × 0.4 + scenario score × 0.3, and the predicted score is approximately 92 points, which is used to characterize the environmental performance trend within 1 year.

[0052] The feedback optimization unit of the environmental protection scoring module is implemented as follows: a calibration model is established using historical environmental protection data of the same population sensitivity level and the same scene characteristics. The corrected second environmental protection score is calibrated, and the calibrated third environmental protection score and score confidence level are output. The third environmental protection score is compared with the formaldehyde concentration and VOC concentration threshold of the corresponding population sensitivity level to generate differentiated entry prompt information. The system is dynamically updated in combination with real-time formaldehyde concentration and VOC concentration fluctuation data, and the entry prompt information for the corresponding sensitivity level population is output.

[0053] The feedback optimization unit also includes a parameter optimization and verification mechanism: when the measured formaldehyde concentration and VOC concentration are lower than the basic threshold of the corresponding population, the coupling coefficient weight corresponding to the environmental coupling effect in the first environmental protection score is optimized in reverse, and the benchmark ventilation cycle and threshold correction coefficient scenario parameters are updated simultaneously. Based on the above postpartum care center, the third environmental protection rating (feedback optimization type) A calibration model was constructed using historical samples with a similarity of ≥85% (data from 10 groups of similar guest rooms in postpartum care centers). The predicted score was corrected using the model, and the corrected predicted score was 93. The optimized parameters were applied to similar building spaces using a comparative verification method. The accuracy of latex paint selection, environmental score accuracy, and prediction accuracy of adaptation time for different groups of people were compared before and after optimization. When all three accuracy indicators improved by ≥8%, the optimized parameters were solidified and the system parameter library was updated.

[0054] The calibration model includes selecting historical samples with a similarity of ≥85% to the current building space's population sensitivity level and scene characteristics, extracting environmental protection scores from the historical samples and formaldehyde and VOC concentration change data at preset time points in the cycle to construct the calibration model; and correcting the current second environmental protection score through the calibration model. When the confidence level of the score is greater than 90%, the calibrated environmental score will be used for subsequent benchmark ventilation cycle matching and determination of appropriate usage time for different groups of people. When the confidence level of the score is ≤90, the measured data of formaldehyde and VOC concentrations and the relevant parameters of the score are re-verified. If the score still fails to meet the standard after two consecutive verifications, the information collection module is triggered to re-collect the environmental parameters of the building space and the environmental protection data of latex paint until the confidence level meets the standard.

[0055] According to the third environmental protection score (feedback optimization type), the final score = (first environmental protection score + corrected predicted score) ÷ 2 = (94 + 93) ÷ 2 = 93.5 points, which is rounded to 94 points; the confidence level of the score is 95 (>90), so the score is determined to be a valid score.

[0056] The adaptation module, based on the third environmental protection score, matches the benchmark ventilation cycle. This involves: pre-constructing a basic ventilation cycle database, categorized by three parameters: population sensitivity level, scene characteristics, and ventilation conditions; employing a nearest neighbor matching algorithm, using similarity calculation as an indicator, comparing the currently collected population sensitivity level, actual building space scene characteristics, and actual ventilation conditions with the database classification parameters, and selecting the benchmark ventilation cycle range corresponding to the category with the highest similarity; and determining the specific benchmark ventilation cycle based on the environmental protection score level output by the environmental protection scoring module. The correspondence between the environmental protection score level and the third environmental protection score is as follows: a score ≥90 is the highest level, 60-89 is the medium level, and <60 is the lowest level. The environmental protection score level and the benchmark ventilation cycle are negatively correlated, with the benchmark ventilation cycle corresponding to the highest score level being shorter than that of the lowest score level by a preset proportion.

[0057] The logic for using the adaptation module to predict the appropriate usage time for different groups based on their sensitivity levels is as follows: An additional ventilation buffer period is set according to the group's sensitivity level: 30% of the baseline ventilation period for Level 2 sensitive groups, 50% for Level 3 sensitive groups, and no buffer period is set for Level 1 sensitive groups. Combining real-time formaldehyde and VOC concentration fluctuation data collected by the environmental scoring module and formaldehyde and VOC concentration data at preset time points obtained by the information collection module, the decreasing trend of formaldehyde and VOC concentrations is analyzed, and the buffer period is dynamically adjusted: if the formaldehyde and VOC concentration decreases by ≥5% for 7 consecutive days, the additional ventilation buffer period is shortened by 10%; if the formaldehyde and VOC concentrations do not decrease or increase for 3 consecutive days, the additional ventilation buffer period is extended by 20%. The final appropriate usage time = baseline ventilation period + adjusted additional ventilation buffer period. After determination, the applicable range for the corresponding user group is marked.

[0058] Use the adapter module: Based on the postpartum care center's third environmental rating of 94 points (the highest level): The baseline ventilation cycle is set at 30 days, and shortened by 10% based on the highest rating level, resulting in a baseline ventilation cycle of 27 days. For Level 3 sensitive individuals, the additional buffer period is 50% of the baseline period (13.5 days). Due to a continuous 7-day decrease in formaldehyde concentration of ≥5%, the buffer period is shortened by 10% (1.4 days), resulting in an adjusted buffer period of 12.1 days. The final adaptation and usage time is 27 + 12.1 = 39.1 days. A prompt message is generated stating that "mothers and newborns need to wait 39 days before they can enter" and an environmental score of 94 points is output within one year.

[0059] Through case studies of postpartum care centers, this system, through the coordinated efforts of its various modules, precisely meets the environmental protection requirements of postpartum care centers for their three most sensitive groups (mothers and newborns), far exceeding national mandatory standards. This effectively compensates for the shortcomings of national standards in protecting highly sensitive special groups. It achieves end-to-end control from material screening to onboarding notifications, providing environmental protection for highly sensitive groups in special settings such as postpartum care centers that far exceeds national standards, thus solving the problem of the national standards being too general but lacking specificity for specific groups.

[0060] In summary, this system constructs a multi-module collaborative end-to-end management and control system. The system comprises four core modules: information collection, material selection, environmental scoring, and usage adaptation. The information collection module accurately collects information on building space characteristics, user groups (including sensitivity levels and corresponding formaldehyde and VOC concentration thresholds), environmental data on decorative materials, and environmental parameters, providing precise data support for subsequent analysis. The material selection module extracts core environmental parameters through feature extraction, combines threshold screening to eliminate latex paints exceeding standards, then uses weighted scoring to select qualified latex paints. Simultaneously, it predicts combined pollution risks through superimposed calculations, and determines the final suitable latex paint solution through conflict coordination and verification. The environmental scoring module employs a three-level scoring mechanism. Actual measured scores accurately reflect the current environmental status of the latex paint, while predictive scores predict the environmental performance trend of the latex paint within one year. The final score, calibrated with historical samples, has high confidence, providing a basis for determining the occupancy of special groups. By using an adaptation module combined with the final environmental score, different baseline ventilation cycles can be matched, and additional buffer cycles can be set for different sensitive groups and dynamically adjusted. Ultimately, the accurate usage time suitable for different sensitive groups can be obtained, thus meeting the environmental protection requirements of highly sensitive groups in special scenarios.

[0061] The present invention has been described in detail above. The specific embodiments are provided only to help understand the method and core ideas of the present invention. It should be noted that those skilled in the art can make various improvements and modifications to the present invention without departing from its principles, and these improvements and modifications also fall within the protection scope of the claims of the present invention.

Claims

1. A system for intelligent matching and environmental property analysis of decorative materials, characterized in that, It includes an information collection module, a material screening module, an environmental rating module, and a usage adaptation module; The information collection module is used to collect scene characteristic information and user information of the building space. The user information includes the results of the sensitivity level classification of the user group. At the same time, it obtains relevant environmental protection data of the decorative materials and environmental parameters of the building space, wherein the decorative material is latex paint. The material screening module is used to determine the concentration threshold of harmful gases based on the sensitivity level of the population, and, in combination with scene characteristic information, obtain the selected latex paint through feature extraction, preliminary screening and environmental conflict coordination. The environmental rating module is used to generate a first environmental rating of latex paint based on measured data and scene characteristic information after the decoration is completed, and to generate a second environmental rating based on measured data and prediction by quantifying rating parameters. It also includes a feedback optimization unit, which obtains a third environmental rating based on the first environmental rating and the second environmental rating. The first environmental score is obtained based on the attenuation characteristic compliance, measured deviation rate, environmental coupling effect, long-term release stability and scenario adaptability. The second environmental score is obtained based on scenario characteristic information, including usage frequency, usage duration, population flow, degree of enclosure and ventilation conditions. The aforementioned adaptation module is used to match the ventilation cycle based on the third environmental protection score and predict the appropriate usage time for different groups based on their sensitivity levels.

2. The intelligent matching and environmental property analysis system for decorative materials according to claim 1, characterized in that, The information collection module collects user information including three levels of sensitivity, with level three being the highest sensitivity and level one being the lowest sensitivity. Each level of sensitivity corresponds to a threshold for harmful gas concentration, which includes formaldehyde concentration threshold and VOC concentration threshold. The formaldehyde concentration thresholds are as follows: ≤0.02mg / m³ for Level 3 sensitive populations, ≤0.05mg / m³ for Level 2 sensitive populations, and ≤0.08mg / m³ for Level 1 sensitive populations. The VOC concentration thresholds are as follows: ≤0.1mg / m³ for Level 3 sensitive population, ≤0.3mg / m³ for Level 2 sensitive population, and ≤0.45mg / m³ for Level 1 sensitive population. The system acquires ventilation, temperature, and humidity parameters of the building space, as well as data on harmful gases at preset time points, to provide basic data for the environmental scoring module's scoring calculations.

3. The intelligent matching and environmental property analysis system for decorative materials according to claim 1, characterized in that, The feature extraction of the material screening module is to extract environmental parameters of latex paint from a preset latex paint database; Environmental parameters for latex paint include formaldehyde emission, VOC emission, and the decay characteristics of formaldehyde and VOC emissions. The initial screening adopts a mechanism that combines threshold screening and fuzzy comprehensive evaluation. The weighted scores of each environmental parameter are calculated by hierarchical analysis, and latex paints with weighted scores greater than the preset threshold corresponding to the sensitivity level of the population are included in the initial selection set.

4. A system for intelligent matching and environmental property analysis of decorative materials according to claim 1 or 3, characterized in that, The environmental conflict coordination process of the material screening module includes the following steps: Step 1: Overlay calculation. Based on the environmental protection data of other decorative materials collected by the information collection module, calculate the formaldehyde release and VOC release of latex paint in the initial selection, and the indoor formaldehyde concentration and VOC concentration after combining with other decorative materials. Step 2: Trigger judgment. If either the formaldehyde concentration or the VOC concentration exceeds the concentration threshold corresponding to the sensitivity level of the relevant population, environmental conflict coordination will be triggered. If both indicators meet the threshold requirements, no further conflict coordination operations are required. Step 3: Conflict Coordination. Select at least one of the following methods to carry out the coordination operation: replace with the same grade of latex paint with lower formaldehyde or VOC emission, upgrade the environmental protection standard of the latex paint, or add a dedicated formaldehyde removal and purification auxiliary layer. Step 4: Verification and validation. After completing the coordination operation, repeat the superposition calculation in Step 1 until the formaldehyde concentration and VOC concentration do not exceed the concentration threshold of the corresponding population sensitivity level.

5. The intelligent matching and environmental property analysis system for decorative materials according to claim 1, characterized in that, The first environmental protection score is calculated as follows: based on five scoring items, namely, the degree of compliance of attenuation characteristics, the measured deviation rate, the environmental coupling effect, the long-term release stability and the scenario adaptability, the score of each scoring item is weighted and summed with the corresponding preset weight. This rating is based on the actual measured results of the working conditions after the renovation is completed. The data comes from the monitoring data after the renovation is completed and is used to characterize the actual environmental performance of latex paint in the building space at the current moment. The second environmental protection score is calculated as follows: First, the unit time decay rate of harmful gases is calculated based on the actual measurement under the maximum ventilation condition. Then, a prediction model is constructed by combining the scene characteristic information. The decay rate, the first environmental protection score, and quantitative parameters such as usage frequency, usage duration, population flow, degree of enclosure, and ventilation conditions are input into the model for calculation. The second environmental protection score is used to predict the environmental performance corresponding to the formaldehyde and VOC release and decay trend of latex paint within one year after the completion of decoration.

6. A system for intelligent matching and environmental property analysis of decorative materials according to claim 1 or 5, characterized in that, The feedback optimization unit of the environmental protection scoring module is implemented as follows: a calibration model is established using historical environmental protection data of the same population sensitivity level and the same scene characteristics; the corrected second environmental protection score is calibrated, and the calibrated third environmental protection score and score confidence level are output; the third environmental protection score is compared with the formaldehyde concentration and VOC concentration threshold of the corresponding population sensitivity level to generate differentiated entry prompt information; the system is dynamically updated in conjunction with real-time formaldehyde concentration and VOC concentration fluctuation data, and entry prompt information for the corresponding sensitivity level population is output.

7. The intelligent matching and environmental property analysis system for decorative materials according to claim 6, characterized in that, The feedback optimization unit also includes a parameter optimization and verification mechanism: when the measured formaldehyde concentration and VOC concentration are lower than the basic threshold of the corresponding population, the coupling coefficient weight corresponding to the environmental coupling influence in the first environmental protection score is optimized in reverse, and the benchmark ventilation cycle and threshold correction coefficient scenario parameters are updated simultaneously. The optimized parameters were applied to similar building spaces using a comparative verification method. The accuracy of latex paint selection, environmental score accuracy, and prediction accuracy of adaptation time for different groups of people were compared before and after optimization. When all three accuracy indicators improved by ≥8%, the optimized parameters were solidified and the system parameter library was updated.

8. The intelligent matching and environmental property analysis system for decorative materials according to claim 6, characterized in that, The calibration model includes selecting historical samples with a similarity of ≥85% to the current building space's population sensitivity level and scene characteristics, extracting environmental protection scores from the historical samples and formaldehyde and VOC concentration change data at preset time points in the cycle to construct the calibration model; and correcting the current second environmental protection score through the calibration model. When the confidence level of the score is greater than 90%, the calibrated environmental score will be used for subsequent benchmark ventilation cycle matching and determination of appropriate usage time for different groups of people. When the confidence level of the score is ≤90, the measured data of formaldehyde and VOC concentrations and the relevant parameters of the score are re-verified. If the score still fails to meet the standard after two consecutive verifications, the information collection module is triggered to re-collect the environmental parameters of the building space and the environmental protection data of latex paint until the confidence level meets the standard.

9. The intelligent matching and environmental property analysis system for decorative materials according to claim 1, characterized in that, The use of the adaptation module to match the benchmark ventilation cycle based on the third environmental protection score includes: pre-constructing a basic ventilation cycle database, which is classified into three categories of parameters: population sensitivity level, scene characteristic information, and ventilation conditions; using a nearest neighbor matching algorithm, with similarity calculation index, comparing the currently collected population sensitivity level, actual scene characteristic information of the building space, and actual ventilation conditions with the database classification parameters, and selecting the benchmark ventilation cycle range corresponding to the category with the highest similarity; and determining the specific benchmark ventilation cycle by combining the environmental protection score level output by the environmental protection score module, wherein the correspondence between the environmental protection score level and the third environmental protection score is as follows: a third environmental protection score ≥90 points is the highest level, 60-89 points is the medium level, and <60 points is the lowest level; the environmental protection score level and the benchmark ventilation cycle are negatively correlated, and the benchmark ventilation cycle corresponding to the highest score level is shorter than that of the lowest score level by a preset proportion.

10. The intelligent matching and environmental property analysis system for decorative materials according to claim 9, characterized in that, The logic for using the adaptation module to predict the appropriate usage time for different groups based on their sensitivity levels is as follows: An additional ventilation buffer period is set according to the group's sensitivity level: 30% of the baseline ventilation period for Level 2 sensitive groups, 50% for Level 3 sensitive groups, and no buffer period is set for Level 1 sensitive groups. Combining real-time formaldehyde and VOC concentration fluctuation data collected by the environmental scoring module and formaldehyde and VOC concentration data at preset time points obtained by the information collection module, the decreasing trend of formaldehyde and VOC concentrations is analyzed, and the buffer period is dynamically adjusted: if the formaldehyde and VOC concentration decreases by ≥5% for 7 consecutive days, the additional ventilation buffer period is shortened by 10%; if the formaldehyde and VOC concentrations do not decrease or increase for 3 consecutive days, the additional ventilation buffer period is extended by 20%. The final appropriate usage time = baseline ventilation period + adjusted additional ventilation buffer period. After determination, the applicable range for the corresponding user group is marked.

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