Chapter 2
Internet of Things Acoustic Emission:
Systems and Applications
Jiehui Xie, Shuang Wang, Wei Liu, Huilan Yang, Lidong Zhang,
and Shifeng Liu
Abstract Internet of Things Acoustic Emission (IOT AE) was developed and introduced in hardware, software and network structure. IOT AE transmits the data and
analysis results to the network server through the Internet/intranet. The analysis
results can go to the end user’s smart phones and PCs as alarm info. Users don’t
need the acoustic emission technicians to operate IOT AE. So IOT AE can be used
as remote long-term unattended monitoring and automatic alarm system. Compared
with traditional acoustic emission instrument which needs to process the data manually to get the detection and monitoring results, IOT AE control the data acquisition
and data analysis by embedded software automatically. Besides the long-term cycle
of self-learning correction of artificial intelligence based on big data on the server
makes the system have the ability of self-learning, self-improvement and continuous
improvement of performance. This paper introduces the IOT AE systems developed
and discusses the application of IOT AE technology of monitoring and alarming for
valve leakage, wire rope breakage and tool wear, etc.
2.1 IOT AE System Introduction
2.1.1 Architecture of IOT AE Monitoring and Alarm System
IOT AE system consist of AE sensor, AE data acquisition and data analysis module
(AE module), internet/intranet communication module, server/smart phone/PC.
Firstly, the AE sensor installed on the monitoring object (valve pipeline, bridge steel
cable broken wire, CNC machine tool, etc.) collects signals, and converts the tiny
mechanical vibration signals into voltage signals. Then the AE module processes the
voltage signal and outputs the results (alarm info, AE waveform and AE hit parameters). The outputs of the AE module are transmitted to the server/smart phone/PC
by internet/intranet communication module.
J. Xie (B) · S. Wang · W. Liu · H. Yang · L. Zhang · S. Liu
Qing Cheng AE Institute Co., LTD, Guangzhou 510670, China
e-mail: xjh@ae-ndt.com
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021
G. Shen et al. (eds.), Advances in Acoustic Emission Technology, Springer Proceedings
in Physics 259, https://doi.org/10.1007/978-981-15-9837-1_2
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