Analysis of high-rise building safety detection methods based on big data and artificial intelligence

Abstract

With rapid industrialization, the construction of high-rise buildings is a good and effective solution to the rational and effective use of land resources and alleviation of existing land resource tensions. Especially in the construction process, if there is a problem with the pile foundation, the building will inevitably be tilted, which will directly affect the personal safety of the construction workers and resident users. The experiments in this article use the concept of big data to divide the system into modules such as data collection, data preprocessing, feature extraction, prediction model building, and model application in order to provide massive data storage and parallel computing services to form a security test system. The experimental data show that wireless sensor technology is applied to the inclination monitoring of buildings, and a monitoring system based on wireless inclination sensors is designed to enable real-time dynamic monitoring of buildings to ensure human safety. When the experimental model frame is stable under normal environmental conditions, a nonstationary vibration is artificially produced for a period of time from the outside world, which is about 60 s higher than the traditional method, and the efficiency is also increased by about 80%, a situation where a building has a reversible tilt change.

Visual Analysis of the Evolution of Traditional Chinese Ethnic Clothing Design Styles Based on Big Data and Artificial Intelligence

“…Currently, the concepts of big data and artificial intelligence are highly regarded by society, and data collection is becoming easier with the continuous development of mobile computers and other modern data detection and processing technologies [16]. Artificial intelligence and data extraction are divided into two primary components.…”

Buildings’ Biaxial Tilt Assessment Using Inertial Wireless Sensors and a Parallel Training Model

“…Multidisciplinary efforts and new technologies have allowed the development of high-performance monitoring systems. Structural health monitoring implements a damage identification strategy for infrastructure [14][15][16], including tilts and high-rise building safety detection methods [17]. The approach consists of integrating technologies that allow obtaining information for the prevention of injuries in structures, such as vibrations detected in towers [18,19] and bridges [20].…”

“…The number of sensors may vary depending on the work focus and type of measured variables, from monitoring a tower with more than 100 sensors to robust systems with more than five [34]. Microelectromechanical systems (MEMS) technology represents a significant advantage due to cost reduction, as presented in [5,6,17,29,35]; likewise, their reduced sizes are more widely accepted for optimizing nonintrusive monitoring in buildings. Many works have been developed on wireless sensor networks that help create embedded systems for monitoring civil infrastructures [27,[34][35][36].…”