Open Source IIoT Solution for Gas Waste Monitoring in Smart Factory

Abstract

Rapid development of smart manufacturing techniques in recent years is influencing production facilities. Factories must both keep up with smart technologies as well as upskill their workforce to remain competitive. One of the recent concerns is how businesses can contribute to environmental sustainability and how to reduce operating costs. In this article authors present a method of measuring gas waste using Industrial Internet of Things (IIoT) sensors and open-source solutions utilised on a brownfield production asset. The article provides a result of an applied research initiative in a live manufacturing facility. The design followed the Reference Architectural Model for Industry 4.0 (RAMI 4.0) model to provide a coherent smart factory system. The presented solution’s goal is to provide factory supervisors with information about gas waste which is generated during the production process. To achieve this an operational technology (OT) network was installed and Key Performance Indicators (KPIs) dashboards were designed. Based on the information provided by the system, the business can be more aware of the production environment and can improve its efficiency.

Open-source Software for Developing Appropriate Smart Manufacturing Technology for Small and Medium-sized Enterprises (SMEs)

“…Table 2 shows the candidates for the enabling OSS based on the results. Multiple candidates were identified for visualization and data management, including Node-RED, Kim et al, 2019;Kwon et al, 2021;Martikkala et al, 2021;Park and Jeong, 2019;Sezer et al, 2018;Waters et al, 2022)) and Windows (Kim et al, 2019;Xing et al, 2021) Communication Wi-Fi (Hinchy et al, 2019;Kim et al, 2019;Kwon et al, 2021;Park and Jeong, 2019;Sezer et al, 2018;Xing et al, 2021), LoRa (Martikkala et al, 2021), and Ethernet (Waters et al, 2022) Protocol MQTT (Hinchy et al, 2019;Kim et al, 2019), OPC UA (Hinchy et al, 2019;Nsiah et al, 2018;Park and Jeong, 2019), OneM2M (Kim et al, 2019), and 6LoWPAN (Nsiah et al, 2018) Data management Database: MySQL (Kim et al, 2019;Nsiah et al, 2018;Park and Jeong, 2019), MongDB (Martikkala et al, 2021), Dropbox (Sezer et al, 2018), Cassandra (Waters et al, 2022) Analytics Image processing: Tesseract-OCR (Kim et al, 2019), OpenCV (Kim et al, 2019;Martikkala et al, 2021) Complex event processing : Node-RED (Kim et al, 2019), and Grafana (Park and Jeong, 2019) Machine learning: TensorFlow (Martikkala et al, 2021), R (Sezer et a...…”

“…Python (Hinchy et al, 2019;Kim et al, 2019;Kwon et al, 2021;Martikkala et al, 2021;Sezer et al, 2018;Waters et al, 2022), C (Park and Jeong, 2019), and C++ (Nsiah et al, 2018) This journal is ⓒ Academic Society for Appropriate Technology 2022…”

A Study into the Security Issues and Countermeasures for the Industrial Internet of Things (IIOT)

“…This integrated security framework allows all information to facilitate a better response across all systems. Open-source software is used by a firm in workplace to survive with IIOT process [22]. Open-source code vulnerabilities are faced for maintaining this IoT framework at time of working.…”

A Compact IIoT System for Remote Monitoring and Control of a Micro Hydropower Plant

“…The increased control and freedom in implementation provided by IIoT technology and specific applications lead to their inclusion in the development of systems, sensors, and devices with specific functions and improved efficiency. For example, IIoT sensors and open-source solutions can be used to measure gas waste in brownfield production assets from a manufacturing facility as a step forward in finding means to reduce operating costs [ 14 ].…”