A method for quantitatively calculating carbon footprint of bamboo-wood products based on life cycle assessment

By meticulously dividing the life cycle stages of bamboo and wood products and combining IoT data collection and machine learning models, the problem of refined modeling of dynamic environment and delayed carbon emissions in the carbon footprint accounting of bamboo and wood products has been solved. This has achieved systematic and accurate carbon footprint quantification throughout the entire life cycle, improving the scientificity and reliability of the accounting.

CN122334867APending Publication Date: 2026-07-03ZHEJIANG INSTITUTE OF QUALITY SCIENCES
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
ZHEJIANG INSTITUTE OF QUALITY SCIENCES
Filing Date
2026-05-07
Publication Date
2026-07-03

AI Technical Summary

Technical Problem

Existing carbon footprint accounting methods are insufficient to reflect the differences in carbon emissions of bamboo and wood products under different regions, processes, and dynamic environmental conditions. Furthermore, they lack refined modeling and uncertainty quantification of delayed carbon emissions, leading to significant discrepancies in accounting results and affecting the scientific validity and authority of industry policies and product green certification.

Method used

By meticulously dividing the life cycle stages of bamboo and wood products, combining IoT data collection, data quality grading mechanisms, dynamic carbon emission assessment models, and uncertainty quantification methods, we integrate machine learning models to assess delayed carbon emission effects and use Monte Carlo simulation analysis to calculate the carbon footprint of the entire life cycle.

Benefits of technology

It enables systematic and refined accounting of carbon emissions throughout the entire life cycle of bamboo and wood products, improves data accuracy and reliability, reduces the influence of subjective human judgment, and provides a scientific method for quantifying carbon footprint.

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Abstract

This invention discloses a method for quantifying the carbon footprint of bamboo and wood products based on life cycle assessment, belonging to the field of green and low-carbon technology. For bamboo and wood products, the method scientifically divides the key life cycle stages, including raw material collection, transportation, processing, use, disposal, and recycling. It combines on-site IoT sensors with enterprise and industry databases to achieve real-time collection and multi-level weighting of energy consumption and emissions data. The method compiles greenhouse gas emission inventories for each stage, uses the mass balance algorithm and carbon emission factor method for quantification, and sets up dedicated modules for carbon storage and delayed carbon emissions. A machine learning model is introduced to dynamically evaluate the carbon release process during disposal and recycling. After integrating the entire process, uncertainty analysis is conducted using Monte Carlo simulation to obtain highly reliable full life cycle carbon footprint accounting results.
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