摘要
针对明清古建筑群存在的火灾隐患高、火灾监测智能化水平低的问题,以xBIM为二次开发平台,利用SQL Server建立数据库,搭建了火灾智能监测平台,以实现对体量庞大的古建筑群监测体系的集成化管理.对于探测器产生的实时数据,通过对Mann-Kendall算法进行迭代优化,既有效避免了传统固定阈值算法带来的漂移问题,又提高了火灾探测器的精确性.并结合火灾动力学模拟,以火灾危险源、建筑结构为影响因素,对火灾探测器的布置进行合理优化,以提高其探测的高效性.本文为明清古建筑群的火灾监管,提供了一套科学、高效的集成化管理技术.
Aiming at the problems of high fire hazard and low levels of intelligent fire monitoring in the historic buildings of Ming and Qing Dynasties,this article takes xBIM as the secondary development platform,establishes a database using SQL Server,and builds an intelligent fire monitoring platform,so as to realize the integrated management of the monitoring system of the huge ancient buildings.For the real-time data generated by the detector,the iterative optimization of the Mann-Kendall trend algorithm not only effectively avoids the drift problem caused by the traditional fixed threshold algorithm,but also improves the accuracy of the fire detectors.Combining the fire dynamics simulation and taking the fire hazard source and the building structure as the influencing factors,the layout of the fire detector is reasonably optimized to improve the efficiency of its detection.This article provides a set of scientific and efficient integrated management technology for the fire supervision of historic buildings in the Ming and Qing Dynasties.
作者
王茹
李朴杰
王亚康
胡又文
WANG Ru;LI Pujie;WANG Yakang;HU Youwen(School of Civil Engineering,Xi’an University of Architecture and Technology,Xi’an 710055,China;Shanghai Jianke Engineering Consulting Co.Ltd.,Shanghai 200032,China)
出处
《湖南大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2023年第7期169-177,共9页
Journal of Hunan University:Natural Sciences
基金
国家自然科学基金资助项目(51278400)。
