摘要
建筑行业中,传统的建筑检测方法存在数据处理效率低、精度差等问题,亟需智能化技术的支持。文章研究了基于大数据、人工智能及机器学习技术的建筑检测数据智能化分析与风险预警系统,探索其在提高建筑安全检测效率和精度方面的应用。同时对建筑检测数据进行智能分析,结合数据挖掘技术,有效发现潜在的安全隐患并进行精确预警,为建筑安全管理提供科学依据,也为智能化建筑管理提供了新的思路,具有重要的实践价值与应用前景。
In the construction industry,traditional building inspection methods suffer from low data processing efficiency and poor accuracy,and there is an urgent need for the support of intelligent technologies.This study investigates an intelligent analysis and risk early warning system for building inspection data based on big data,artificial intelligence,and machine learning technologies,and explores its application in improving the efficiency and accuracy of building safety inspection.At the same time,it conducts intelligent analysis on building inspection data,and combines data mining technology to effectively discover potential safety hazards and provide precise early warnings.This approach not only offers a scientific basis for building safety management but also introduces new perspectives for intelligent building management,demonstrating significant practical value and application prospects.
作者
秦玫兰
QIN Mei-lan(Guangxi Wanzhong Engineering Inspection Co.,Ltd.)
出处
《智能建筑与智慧城市》
2026年第2期151-153,共3页
Intelligent Building & Smart City
关键词
建筑检测
智能化分析
风险预警
大数据
人工智能
机器学习
building inspection
intelligent analysis
risk early warning
big data
artificial intelligence
machine learning
