Green low-carbon building material evaluation method

By constructing a data management priority index, combining the total carbon emission weight of materials and data source volatility, dynamically adjusting the data update frequency and verification level, the problems of distortion of evaluation results and waste of resources in carbon data management of traditional building materials are solved, and efficient and accurate green building evaluation is achieved.

CN120373914AActive Publication Date: 2025-07-25PUTIAN UNIV
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Patent Information

Application Number
CN202510863974.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-06-26
Publication Date
2025-07-25
Estimated Expiration
2045-06-26

AI Technical Summary

Technical Problem

Traditional building materials carbon data management methods lack dynamic evaluation capabilities, cannot identify key materials and distinguish data stability, resulting in distortion of evaluation results or waste of resources.

Method used

By building a data management priority index, combining the total carbon emission weight of the material and the data source volatility, dynamically adjusting the data update frequency and verification level to achieve differentiated management.

Benefits of technology

High-frequency depth monitoring of key materials and low-frequency automatic verification of stable data are realized, the accuracy of evaluation and resource utilization efficiency are improved, and the long-term efficiency of the life cycle of green buildings is ensured.

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Abstract

The invention discloses a green low-carbon building material evaluation method and system, and belongs to the technical field of building material evaluation methods, and the method specifically comprises the steps: obtaining the engineering consumption and the initial unit carbon emission factor of each material in a project, and determining the total carbon emission weight of the material; acquiring a historical carbon emission factor data set of the material, and determining a data source fluctuation rate of the material; and dynamic adjustment of the data management priority index is realized in response to the data update request frequency and the data verification level in combination with the total carbon emission weight of the material and the data source volatility. According to the invention, the data management priority index is compared with the preset priority index threshold, so that differentiated data updating request frequencies and data verification levels can be intelligently generated for materials with different risk levels.
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Citation Information

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