Design of Intelligent Integrated Testing Platform for Old Residential Areas in Nantong City
Jing Zhang, Wenbo Bao, Laicong Chen, Ziyi Ni, Junhan Dong, Meirong ZhouIn view of the current problem of various cracks in the old residential areas, and the fact that these cracks may cause safety risks to the building, it is particularly important to carry out real-time monitoring, so as to give early warning in advance and take Corresponding safety measures. In this paper, it is proposed to use steel rulers, feeler gauges and acoustic detectors to measure the length, width and depth of cracks and establish an intelligent and integrated big data monitoring platform to monitor cracks in old residential areas in real time and give early warning to ensure that the houses are in a safe state. Through the big data system, the platform solves the problems of lagging traditional manual inspection, inefficient resource allocation and extensive management and lays the foundation for subsequent housing construction safety identification and crack treatment.