Implementation of DDS Cloud Platform for Real-time Data Acquisition of Sensors

Abstract

The Industry 4.0 (I4.0) is a multi-disciplinary engineering by combing the IoT, big data, and cloud computing to cope well with the dynamic changing industry. In this paper, the DDS (Data distribution service) communication protocol is employed to implement a cloud platform for data acquisition of various sensors including accelerometer, sound, temperature, brightness, and humility, etc. The sensor signals acquired by the ESP32 microcontroller (MCU) are collected by the Raspberry Pi serving as the edge device and then published with the DDS application to the cloud and stored to the MySQL database. With the Django web server, the sensor signals acquired are real-time shown on the webpage. It is expected that the proposed DDS cloud platform can be applied to a legacy machine to enable sensing and communication abilities such that the development of smart machine is achievable.