Research and development of intelligent network monitoring and warning system for deep foundation pit
Hongsheng QI, Chengzhi Xiao, Zihan Wang, Chongyang Sun · JOURNAL OF SHENZHEN UNIVERSITY SCIENCE AND ENGINEERING · 2020
The excavation of foundation pit inevitably affects the stresses and deformations of supporting structures and surrounding environment, so it is necessary to keep on monitoring foundation pit in engineering construction. In order to solve the problems of low information level of excavation monitoring and low efficiency of manual data collection, a set of intelligent network monitoring and warning system for deep foundation pits is developed by means of wireless transmission which adopts the C/S mode, C# object-oriented language, relational database MySql, GNSS, fixed inclinometer and self-powered sensor by solar energy. The monitoring system realizes the centralized management of information including data real-time reading, automatic saving and query, automatic calculation and analyses, automatic charts drawing, and automatic warning and alarm. The system also had the functions of data prediction, accident processing and analyses and rapid report generation. Through the monitoring instrument, the system can automatically analyze foundation pit information and give early warnings, and can further improve the monitoring efficiency and safety guarantee in foundation pit engineering.