针对当前城市管道检测系统实际应用时复杂的人工操作问题和管道工作环境信息的分析预警功能缺失问题,设计开发一套基于物联网和超声导波的城市管道检测系统。该系统将物联网、超声导波检测、信号处理等技术相融合,通过无线网络将数据传到云端数据处理中心并由数据处理中心分析管道检测信息,实现管道缺陷检测、环境信息采集以及预警等功能。实验仿真表明:该系统的缺陷定位精度达到了(能够满足)城市管道检测的要求,在减少人工操作的同时,能有效提供预警功能。
To reduce the complexity of manual handling operations of current detection systems for urban pipeline and meet the requirements of pipeline working environmental information analyzing and early warning function, a detection system for urban pipeline (IOT) and ultrasonic guided wave (UGW) was designed and developed. and signal processing methods are integrated based on internet of things IOT technology, UGW testing with this system. To implement the functions such as detection of pipeline, environmental information gathering and early warning, the system transmits data over wireless network to cloud data processing center which analyzes the pipeline detection data. Simulation results show that this system can meet the accuracy requirement of defect location, and reduce manual handling operations with early warning function.