Development of Low-Cost IoT based data acquisition system for real-time monitoring of volcanoes seismicity

Abstract

This paper describes how to develop a low-cost data acquisition (DAQ) system for real-time remote monitoring of volcano seismicity. The DAQ system is developed based on IoT platform, consists of several module devices both hardware and software, and installed in two places called seismic-stations (SS) and observation-post (OP). In the implementation, the SS is placed on the body of the volcano meanwhile the OP is usually placed at a certain distance from the SS with more adequate electrical and communication facilities. In this design, the SS consists of seismic sensors and a digitizer, whereas the OP consists of a computer server and ADSL modem. Communication between SS and OP conducted by using a 5 GHz Wi-Fi telemetry system. At the OP, the data is processed to produce the form of digital seismograms, hypocentres, arrival times, and signal magnitudes in SAC or mini seed file formats by Earthworm software. Database server for cloud access is created using Winston Wave Server (WWS) and MySQL Data Base Management Systems (DBMS). The seismic data can be accessed in real time remotely by users using the SWARM application via website access.

Remote Accessible PC-based Data Acquisition System

“…(7) The involvement of IoT leads to flexibility and low costs. (8) Owing to the high demand for and constant development of information and communication technology, there is a need to build improved low-cost sensor systems that rely on new concepts such as IoT or Web of Things (WoT).…”

“…The data was processed using a PC. (8) A low cost is essential for a DAQ system, which usually uses expensive hardware including servers. In this study, we built a DAQ system using popular IoT hardware, namely, Arduino, with applications built using Python on a local PC and a web application from Google on the Google Drive (GD) data server side.…”