Construction engineering quality data management method based on artificial intelligence

Through artificial intelligence -based construction engineering quality data management methods, dynamically integrate multi -dimensional quality data at the construction site and analyze the differences between space -time sequence and space differences, solve the problem of data integration in different regions of construction site, and achieve high accuracy of quality assessment and decision support.

CN119377209AActive Publication Date: 2025-01-28JINAN ALVA INSTR CO LTD
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Patent Information

Application Number
CN202411959177.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-30
Publication Date
2025-01-28
Estimated Expiration
2044-12-30

AI Technical Summary

Technical Problem

The existing technology is difficult to effectively integrate multiple quality data in different areas of the construction site, resulting in large deviations in quality assessment and the inability to accurately reveal the quality differences between different areas and their impact on the overall project quality.

Method used

Adopt artificial intelligence -based construction engineering quality data management methods, through dynamic integration of multi -dimensional quality data at the construction site, use time and space sequence analysis and spatial differences analysis method to extract the correlation and abnormal fluctuation characteristics between data, and use data enhancement technology to abnormal or lack of abnormal or missing Data reconstruction and completion.

Benefits of technology

Realized the unified processing and associated mining of different regions and different monitoring indicators, eliminating the deviation caused by the lack of data distribution from the lack of local information, provided highly credible data support, enhanced the overall overall quality management of construction engineering quality management Level and decision -making rationality.

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Abstract

The invention discloses a constructional engineering quality data management method based on artificial intelligence, particularly relates to the field of constructional engineering quality data management, and is used for solving the problems that multi-source heterogeneous quality data is unbalanced in spatial distribution and correlation analysis, monitoring blind areas and abnormal information are difficult to accurately capture. According to the method, by dynamically integrating multi-dimensional quality data of a construction site, unified processing and associated mining of different monitoring indexes in different areas are achieved, and deviation caused by uneven data distribution and local information loss is eliminated; internal association and potential abnormal fluctuation characteristics are extracted from multi-source data by using a space-time sequence analysis and spatial difference analysis method, so that more accurate and comprehensive basic data are obtained under complex conditions; the abnormal or missing data is finely reconstructed and complemented through a data enhancement technology, so that the monitoring data is kept continuous and complete in the space-time dimension, and the overall quality judgment is not influenced by local blind areas or missing points.
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Citation Information

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