Building decoration material environmental protection property detection and rating system

Abstract

The invention provides a building decoration material environmental protection property detection and rating system. Relates to the technical field of building and decoration material detection, and comprises a multi-source detection unit which forms a composite detection channel through an electrochemical sensing coupling detection technology, and the composite detection channel detects key environmental protection indexes of building decoration materials to generate key environmental protection index data. According to the environment-friendly property detection and rating system for the building decoration material, the environment-friendly property of the building decoration material is comprehensively detected through a multi-source electrochemical detection technology in combination with methods such as infrared spectrum sensing, differential pulse voltammetry and electrochemical impedance spectroscopy. The innovative detection can evaluate the key environmental protection indexes of the material in multiple dimensions, such as formaldehyde emission, volatile organic compound concentration, heavy metal element content and radioactivity, so that the accuracy and comprehensiveness of the detection result are ensured, and the scientificity of environmental protection material evaluation is effectively improved.

Description

Technical Field

[0001] This invention relates to the field of building and decoration material testing technology, specifically to an environmental protection testing and rating system for building and decoration materials. Background Technology

[0002] With the development of the construction and interior decoration industry, the types and applications of decorative materials are constantly increasing, commonly including boards, paints, adhesives, and composite finishing materials. People's attention to green buildings and the safety of living environments has significantly increased, and environmental performance has gradually become an important criterion for material selection. Existing testing methods mainly focus on detecting the content and release of formaldehyde, benzene series compounds, and volatile organic compounds. Some testing institutions, based on national standards and industry specifications, have tested materials and established preliminary grading systems, providing market references and playing a certain role in promoting the application of green building materials.

[0003] However, existing technologies still have shortcomings. Most testing procedures rely on laboratory conditions, are complex to operate, and have long cycles, making it difficult to meet the rapid screening needs of the construction phase. Testing standards are not yet unified, and evaluation results from different institutions vary significantly, lacking authority. Most existing technologies only target single indicators, lacking a comprehensive evaluation of multi-dimensional environmental performance, making it difficult to accurately reflect the overall impact of materials in actual use. Against the backdrop of increasingly stringent requirements for green building and sustainable development, existing technologies have not yet formed an efficient and systematic testing and rating system, making it difficult to provide a reliable basis for material selection and promotion. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides an environmental protection testing and rating system for building decoration materials, solving the problem of how to rapidly test and authoritatively rate the environmental performance of building decoration materials through multi-source electrochemical testing and data fusion technology.

[0005] To achieve the above objectives, the present invention provides the following technical solution: an environmental protection testing and rating system for building decoration materials, comprising: a multi-source testing unit, which forms a composite testing channel through electrochemical sensing coupling testing technology, wherein the composite testing channel detects key environmental protection indicators of the building decoration materials and generates key environmental protection indicator data; The indicator data fusion unit uses time series analysis to perform multi-dimensional data fusion on the key environmental protection indicator data to form a dynamic environmental performance dataset, which is used to reflect the changing trend of environmental performance at different stages of use. The comprehensive evaluation unit uses the analytic hierarchy process (AHP) to assign weights to the dynamic environmental performance dataset to form a comprehensive environmental performance score. The rating and determination unit uses a graded threshold determination model to compare and determine the comprehensive environmental performance score to form a determination result set. The rating and determination unit records and verifies the determination result set through a blockchain notarization mechanism to generate an environmental level rating record. The dataset generation unit encapsulates and formats the environmental protection rating records to generate a test result dataset, which is then output to the application unit through a standardized data interface.

[0006] Preferably, the key environmental protection indicators include formaldehyde emission, volatile organic compound (VOC) concentration, heavy metal content, and radioactivity. The electrochemical sensing coupling detection technology includes differential pulse voltammetry and electrochemical impedance spectroscopy. The multi-source detection unit detects the heavy metal content using the differential pulse voltammetry and the VOC concentration using the electrochemical impedance spectroscopy. The composite detection channel includes an infrared spectroscopy sensing channel and an electrochemical sensing channel. The multi-source detection unit collects and quantifies the formaldehyde emission through the infrared spectroscopy sensing channel and characterizes and determines the radioactivity through the electrochemical sensing channel.

[0007] Preferably, the model formula of the time series analysis method is: in, For a moment The smoothed value is a dimensionless index. For the past Key environmental protection indicator data at any given time point, after being standardized in terms of dimensions, become dimensionless indicators. For the data weighting factors at the corresponding time points to satisfy , is a dimensionless index. is the window width, a dimensionless index used to limit the number of data points involved in the calculation.

[0008] Preferably, the multi-dimensional data fusion includes standardization processing and feature alignment. The indicator data fusion unit maps the key environmental protection indicator data of different dimensions to a unified range through the standardization processing. The indicator data fusion unit performs time interpolation on the key environmental protection indicator data to unify the time axis through the feature alignment, so as to ensure the comparability between data.

[0009] Preferably, the analytic hierarchy process (AHP) processes the dynamic environmental performance dataset using an nxn-order judgment matrix to obtain a weight vector, and the comprehensive evaluation unit determines the validity of the weight calculation using the weight vector.

[0010] Preferably, the model formula for determining the hierarchical threshold is: in, For comprehensive environmental performance scoring, S∈[0,100], which is a dimensionless index. For the grading threshold, ∈[0,100], is a dimensionless index. For output level.

[0011] Preferably, the blockchain evidence storage mechanism uses a hash algorithm to generate the judgment result set, and the hash algorithm model is as follows: in, The hash digest bit string is a dimensionless index. The normalized comprehensive score is a dimensionless indicator. The rating level is a dimensionless indicator. The normalized threshold version number is a dimensionless indicator. For the identification of testing equipment, The timestamp is in seconds, ensuring that the judgment result is unique and tamper-proof in the blockchain network.

[0012] Preferably, the dataset generation unit uses the data encapsulation to number the environmental protection rating records to achieve traceability during transmission. The dataset generation unit uses the formatting process to encode the environmental protection rating records into fields. The standardized data interface includes a JSON interface and an XML interface.

[0013] This invention provides an environmental protection testing and rating system for building decoration materials. It has the following beneficial effects: This invention utilizes multi-source electrochemical detection technology, combined with infrared spectroscopy, differential pulse voltammetry, and electrochemical impedance spectroscopy, to comprehensively detect the environmental performance of building decoration materials. The innovative detection method can assess key environmental indicators of materials from multiple dimensions, such as formaldehyde emission, volatile organic compound concentration, heavy metal content, and radioactivity, ensuring the accuracy and comprehensiveness of the test results. Employing time series analysis and data fusion technology, it can dynamically reflect changes in the environmental performance of materials at different stages of use in real time, improving the real-time nature and reliability of the test results.

[0014] This environmental testing and rating system for building decoration materials utilizes the analytic hierarchy process (AHP) to comprehensively score environmental data and combines it with blockchain technology to store and verify test results, ensuring the immutability and high reliability of the results. This effectively enhances the scientific rigor and credibility of environmental material evaluation, providing the construction industry with authoritative criteria for selecting environmentally friendly materials and offering significant support for promoting green building and sustainable development. Attached Figure Description

[0015] Figure 1 A schematic diagram of the structure of an environmental protection testing and rating system for building decoration materials; Figure 2 Flowchart for multi-source electrochemical detection and data fusion; Figure 3 This is a schematic diagram illustrating the determination and verification of environmental protection rating results. Detailed Implementation

[0016] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention. Example

[0017] like Figure 1-3 As shown in the figure, this invention provides an environmental protection testing and rating system for building decoration materials, including a multi-source detection unit that forms a composite detection channel through electrochemical sensor coupling detection technology. The composite detection channel detects key environmental indicators of building decoration materials to generate key environmental indicator data. Key environmental indicators include formaldehyde emission, volatile organic compound (VOC) concentration, heavy metal content, and radioactivity. The electrochemical sensor coupling detection technology includes differential pulse voltammetry and electrochemical impedance spectroscopy. The multi-source detection unit detects heavy metal content using differential pulse voltammetry and VOC concentration using electrochemical impedance spectroscopy. The composite detection channel includes an infrared spectroscopy sensing channel and an electrochemical sensing channel. The multi-source detection unit collects and quantifies formaldehyde emission through the infrared spectroscopy sensing channel and characterizes and determines radioactivity through the electrochemical sensing channel.

[0018] The indicator data fusion unit employs time series analysis to fuse key environmental indicator data across multiple dimensions, creating a dynamic environmental performance dataset to reflect the changing trends of environmental performance at different usage stages. The model formula for the time series analysis method is: in, For a moment The smoothed value is a dimensionless index. For the past Key environmental protection indicator data at any given time point, after being standardized in terms of dimensions, become dimensionless indicators. For the data weighting factors at the corresponding time point to satisfy , is a dimensionless index. , where is the window width and is a dimensionless indicator used to limit the number of data points involved in the calculation. Multi-dimensional data fusion includes standardization and feature alignment. The indicator data fusion unit maps key environmental protection indicator data of different dimensions to a unified range through standardization. The indicator data fusion unit performs time interpolation on the key environmental protection indicator data through feature alignment to unify the time axis, ensuring comparability between data points.

[0019] The comprehensive evaluation unit uses the analytic hierarchy process (AHP) to assign weights to the dynamic environmental performance dataset, forming a comprehensive environmental performance score. The AHP processes the dynamic environmental performance dataset using an n x n order judgment matrix to obtain a weight vector, which the comprehensive evaluation unit then uses to determine the validity of the weight calculation.

[0020] The Analytic Hierarchy Process (AHP) is applied to the comprehensive scoring process of dynamic environmental performance datasets, where different environmental indicators are weighted to obtain the final comprehensive score.

[0021] Construct the judgment matrix: Based on the importance of different environmental indicators, construct an n x n order judgment matrix. Assume there are four key environmental indicators: formaldehyde emission, volatile organic compound concentration, heavy metal content, and radioactivity.

[0022] Set the relative importance of the metrics, for example: Table 1: Relative Importance of Various Environmental Indicators Normalized judgment matrix: To ensure comparability among various indicators, the judgment matrix is ​​normalized. The sum of the first column of the judgment matrix is: The first column after normalization is: Calculate the weight vector: The weight of each environmental indicator is obtained by calculating the average of each row of the normalized matrix. Assume the calculation results are as follows: Table 2: Environmental Indicator Weights Formaldehyde emissions accounted for the largest proportion.

[0023] The rating and determination unit uses a tiered threshold determination model to compare and determine the comprehensive environmental performance score, forming a set of results. The unit then records and verifies these results using a blockchain-based notarization mechanism to generate an environmental rating record. The formula for the tiered threshold determination model is as follows: in, For comprehensive environmental performance scoring, S∈[0,100], which is a dimensionless index. For the grading threshold, ∈[0,100], is a dimensionless index. For output level.

[0024] The blockchain evidence storage mechanism uses a hash algorithm to generate a set of judgment results. The hash algorithm model is as follows: in, The hash digest bit string is a dimensionless index. The normalized comprehensive score is a dimensionless indicator. The rating level is a dimensionless indicator. The normalized threshold version number is a dimensionless indicator. For the identification of testing equipment, The timestamp is in seconds, ensuring that the judgment result is unique and tamper-proof in the blockchain network.

[0025] The dataset generation unit encapsulates and formats the environmental protection rating records to generate a test result dataset, which is then output to the application unit through a standardized data interface. The dataset generation unit assigns numbers to the environmental protection rating records through data encapsulation to ensure traceability during transmission. It also formats the environmental protection rating records into fields, and the standardized data interface includes both JSON and XML interfaces.

[0026] Generation of environmental rating records: Through multi-dimensional data fusion and hierarchical analysis, the environmental performance of building decoration materials was evaluated, and an environmental rating system was established.

[0027] Data encapsulation and numbering: To ensure traceability during transmission, the dataset generation unit assigns a unique number to each environmental rating record. This numbering not only guarantees the uniqueness of the data record but also allows for tracing the generation and transmission of each test result.

[0028] Assume that each environmental rating record is assigned a unique number, record_id, which is automatically generated by the system. Unique numbers can be generated using information such as timestamps and device identifiers.

[0029] Formatting and Field Encoding: When formatting environmental rating records, the purpose of field coding is to standardize each field to facilitate data exchange and processing between different systems. Specific steps include: Each field in the record is structured according to a predefined format, and the values ​​are standardized.

[0030] For date and time fields, use a uniform format.

[0031] For numeric fields, ensure that the units are consistent and the range is uniform.

[0032] Dataset generation and output: The generated environmental rating record dataset is output through standardized data interfaces. Common data interfaces include JSON and XML interfaces. Example

[0033] This embodiment demonstrates how to use time series analysis to dynamically evaluate the environmental performance of formaldehyde emission from building decoration materials, based on the index data fusion unit.

[0034] 1. Data Preparation Suppose we are analyzing formaldehyde emissions from building decoration materials and have already collected formaldehyde emission data at different time points. To adapt to time series analysis, the data is normalized so that all indicator data are on the same dimension.

[0035] Table 3: Time series data and normalization results of formaldehyde emission Suppose we choose a 3-month window for smoothing, i.e., set n=3.

[0036] 2. Set weighting coefficients

[0037] Calculate the smoothing value of the time series and set the weighting coefficient for each time point. , , : =0.5.

[0038] =0.3.

[0039] =0.2.

[0040] The weighting coefficients are summed to 1 to ensure the rationality and stability of the smoothing values.

[0041] 3. Smoothing value calculation formula The time series smoothing formula is as follows: in, For a moment The smoothed value is a dimensionless index. The data represents the formaldehyde release at time t in the past. After dimension unification, it becomes a dimensionless index. For the data weighting factors at the corresponding time points to satisfy , is a dimensionless index. is the window width, and is a dimensionless index.

[0042] 4. Substitute into the formula to calculate the smoothing value. calculate : Smoothing value =0.61.

[0043] calculate : Smoothing value =0.14.

[0044] 5. Results Analysis Based on the above calculations, the following smoothing values ​​are obtained: Table 4: Formaldehyde Emission Rate and Smoothing Value Analysis Table The environmental performance of formaldehyde emission remains at a high level in the first 3 months, with a smoothing value. =0.61, with increasing usage time, the environmental performance gradually declines, smoothing value =0.14.

[0045] 6. Output and Application This time series analysis method clearly shows the changes in the environmental performance of building decoration materials over different time periods. Based on the smoothing results, the environmental performance of the materials in actual use can be further evaluated to ensure that the materials meet environmental standards. Example

[0046] This embodiment will demonstrate how to ensure the scientific validity, impartiality, and data security of the environmental performance rating of building decoration materials by combining a comprehensive environmental performance scoring and grading threshold determination model with a blockchain evidence storage mechanism.

[0047] 1. Define the grading threshold and judgment rules Three key grading thresholds were set: =85.

[0048] =70.

[0049] =50.

[0050] The environmental rating S is divided into four levels, and the specific rules are as follows: Grade A: When S≥ This indicates that the material has excellent environmental performance.

[0051] Grade B: When ≤S< This indicates that the material has good environmental performance.

[0052] Grade C: When ≤S< This indicates that the material's environmental performance is average.

[0053] Unqualified: When S < This indicates that the material's environmental performance does not meet the standards.

[0054] If a building decoration material has a comprehensive environmental protection score of S=72, its environmental protection level should be B.

[0055] 2. Blockchain-based evidence storage mechanism Blockchain technology is used to record and verify the scoring results, ensuring that the environmental rating results are tamper-proof and unique. The specific steps are as follows: Construct the hash digest: rating information Level determination L, grading threshold Equipment identification during scoring and timestamps Combined into a single character: Assumption =72, L=B, T=85 =001, timestamp =1633035600, the concatenated string is: A unique hash value is generated using a hash algorithm. .

[0056] Proof and verification: The hash value The data is stored in a blockchain network, where blockchain technology ensures the uniqueness and immutability of the results. Each time the environmental rating of a material is determined, a new hash value is generated and stored in the blockchain, ensuring data traceability.

[0057] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A system for testing and rating the environmental friendliness of building decoration materials, characterized in that, include: The multi-source detection unit forms a composite detection channel through electrochemical sensing coupling detection technology. The composite detection channel detects the key environmental protection indicators of the building decoration materials and generates key environmental protection indicator data. The indicator data fusion unit uses time series analysis to perform multi-dimensional data fusion on the key environmental protection indicator data to form a dynamic environmental performance dataset. The comprehensive evaluation unit uses the analytic hierarchy process (AHP) to assign weights to the dynamic environmental performance dataset to form a comprehensive environmental performance score. The rating and determination unit uses a graded threshold determination model to compare and determine the comprehensive environmental performance score to form a determination result set. The rating and determination unit records and verifies the determination result set through a blockchain notarization mechanism to generate an environmental level rating record. The dataset generation unit encapsulates and formats the environmental protection rating records to generate a test result dataset, which is then output to the application unit through a standardized data interface.

2. The environmental protection testing and rating system for building decoration materials according to claim 1, characterized in that: The key environmental protection indicators include formaldehyde emission, volatile organic compound (VOC) concentration, heavy metal content, and radioactivity. The electrochemical sensing coupling detection technology includes differential pulse voltammetry and electrochemical impedance spectroscopy. The multi-source detection unit detects the heavy metal content using differential pulse voltammetry and the VOC concentration using electrochemical impedance spectroscopy. The composite detection channel includes an infrared spectroscopy sensing channel and an electrochemical sensing channel. The multi-source detection unit collects and quantifies the formaldehyde emission through the infrared spectroscopy sensing channel and characterizes and determines the radioactivity through the electrochemical sensing channel.

3. The environmental protection testing and rating system for building decoration materials according to claim 1, characterized in that: The model formula for the time series analysis method is as follows: ， in, For a moment The smoothing value, For the past Key environmental indicators data at each point in time For the data weighting factors at the corresponding time points to satisfy , This is the window width.

4. The environmental protection testing and rating system for building decoration materials according to claim 1, characterized in that: The multi-dimensional data fusion includes standardization processing and feature alignment. The indicator data fusion unit maps the key environmental protection indicator data with different dimensions to a unified range through the standardization processing. The indicator data fusion unit performs time interpolation on the key environmental protection indicator data to unify the time axis through the feature alignment.

5. The environmental protection testing and rating system for building decoration materials according to claim 1, characterized in that: The analytic hierarchy process (AHP) uses an nxn-order judgment matrix to process the dynamic environmental performance dataset to obtain a weight vector, and the comprehensive evaluation unit uses the weight vector to determine the validity of the weight calculation.

6. The environmental protection testing and rating system for building decoration materials according to claim 1, characterized in that: The model formula for determining the hierarchical threshold is as follows: ， in, For comprehensive environmental performance scoring, S∈[0,100], For the grading threshold, ∈[0,100], For output level.

7. The environmental protection testing and rating system for building decoration materials according to claim 1, characterized in that: The blockchain-based evidence storage mechanism uses a hash algorithm to generate the judgment result set. The hash algorithm model is as follows: ， in, For hash digest bit string, This is the normalized overall score. As a rating level, This is the normalized threshold version number. For the identification of testing equipment, For timestamps.

8. The environmental protection testing and rating system for building decoration materials according to claim 1, characterized in that: The dataset generation unit assigns a number to the environmental protection rating record through the data encapsulation, and the dataset generation unit performs field-based encoding on the environmental protection rating record through the formatting process. The standardized data interface includes a JSON interface and an XML interface.

Images