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Vol. 238, Issue 11, November 2019, pp. 49-56




A Loosely Coupled Sensing System Architecture and Implementation for Industrial IoT

* Yasutaka SERIZAWA and Yusuke SHOMURA

Hitachi America Ltd. R&D, IoT Edge Laboratory, 2535 Augustine Drive, 3
rd Floor, Santa Clara, CA 95054, USA
Tel.: +1-408-986-6300

E-mail: yasutaka.serizawa@hal.hitachi.com


Received: 30 August 2019 /Accepted: 15 October 2019 /Published: 30 November 2019

Digital Sensors and Sensor Sysstems


Abstract: Sensing data increasingly become valuable source of information that enables various IIoT (Industrial IoT) applications. Traditionally, especially in manufacturing field sites, sensing data acquired by kinds of sensors via PLCs have been stored on storages with kinds of file formats, which has also been consumed by batch-type analytical processes as data sources. This system architecture has been one of the causes of lowering production efficiency such as long unplanned downtime of production machines. Taking this situation into account, we have proposed and designed a loosely coupled sensing system architecture, which is followed by some trial implementations into industrial IoT field. Acoustic sensors were applied as the first implementation of scalable and reusable sensing system, which supports streaming data processing capability. The developed system has pluggable system architecture where data acquisition part, signal processing part, and analytics part can be mutually communicated with common APIs, which provides flexible combination of streaming data processing in multiple parts. The scalability of developed system was demonstrated on two example applications of machine state classification and anomaly detection. The successful operation of both applications on the same acoustic sensing system indicates that the loosely coupled / pluggable system architecture works as expected, which suggests the developed system can reduce time and cost for applications establishment significantly.


Keywords: Loosely coupled sensing system, Real-time streaming data processing, Signal processing, Data acquisition, Acoustic analytics, One-stop configuration.


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