Municipal engineering construction quality monitoring method and system based on dual-carbon target
By collecting and analyzing carbon emission and construction quality data from municipal engineering construction sites in real time, a carbon emission benchmark model and a correlation assessment model are constructed. This solves the problem of the disconnect between carbon emission and quality monitoring in existing technologies, achieves precise carbon emission reduction and quality control, and improves management transparency and data credibility.
Patent Information
- Application Number
- CN202511795364.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-02
- Publication Date
- 2026-03-03
AI Technical Summary
Existing municipal engineering construction quality monitoring systems lack the ability to monitor carbon emission data in real time during construction, cannot identify the inherent coupling relationship between abnormal carbon emissions and quality fluctuations, lack a scientific carbon efficiency quality assessment system, make it difficult to achieve refined carbon control and traceability, and have insufficient data credibility.
By collecting carbon emission data and construction quality parameters at the construction site in real time through an Internet of Things sensor network, a carbon emission benchmark model and a correlation assessment model are constructed, a three-level carbon emission early warning threshold is set, fluctuations in construction quality parameters are analyzed in conjunction with the data, a carbon efficiency quality assessment index is generated, and machine learning algorithms are used to optimize emission reduction decisions. Blockchain technology is also used for traceability and evidence storage.
It has achieved deep integration and optimization of carbon emissions and construction quality in municipal engineering, provided a hierarchical linkage early warning and full-process traceability mechanism, improved the credibility of data and management transparency, supported precise carbon emission reduction decisions and acceptance, and formed a scientific construction quality control system under dual carbon constraints.