Supervisory Control and Data Acquisition Approach in Node-RED: Application and Discussions

The Internet of Things (IoT) represents the binder of two worlds, specifically the real one and the digital one: tangible objects become recognizable in the virtual world, having digital matches, thus creating a network that enables the connection in-between the components. With the contemporary evolution of this domain, interconnectivity has become a primary fraction of new research and development directions. The Industrial Internet of Things (IIoT) is a concept that covers the more industrial level of the physical and digital connection and stays behind the Industry 4.0 concept. Supervisory control and data acquisition (SCADA) applications are important in the industry, their core being very present as complex products of big companies, at high prices. The Node-RED environment quickly evolved as one of the most important perspectives in IIoT, able to replace, up to a certain level, classic SCADA applications, bringing benefits to the industry. In this paper, the main focus is to evidence this aspect and to develop an application that will demonstrate the functionality of the concept, making use of protocols such as Modbus TCP (Transmission Control Protocol) for interacting with industrial devices and Message Queuing Telemetry Transport (MQTT) to interact with higher-levels, which provides a publish-subscribe structuring and a low band-width usage. The application uses logging and archiving modules based on InfluxDB database and is conceived to achieve the visual supervisory structure as close as possible to well-known SCADA solutions. The presented work results prove the efficiency of the solution.

[1]  Nada Golmie,et al.  A Survey on Industrial Internet of Things: A Cyber-Physical Systems Perspective , 2018, IEEE Access.

[2]  Isaías González Pérez,et al.  Integration of Sensor and Actuator Networks and the SCADA System to Promote the Migration of the Legacy Flexible Manufacturing System towards the Industry 4.0 Concept , 2018, J. Sens. Actuator Networks.

[3]  Ioan Silea,et al.  Achieving interoperability using low-cost middleware OPC UA wrapping structure. Case study in the water industry , 2017, 2017 IEEE 15th International Conference on Industrial Informatics (INDIN).

[4]  Prathamesh Churi,et al.  Future and Challenges of Internet of Things , 2018 .

[5]  Andrei Nicolae,et al.  Industrial Internet of Things and Fog Computing to Reduce Energy Consumption in Drinking Water Facilities , 2020, Processes.

[6]  Paula Fraga-Lamas,et al.  Creating the Internet of Augmented Things: An Open-Source Framework to Make IoT Devices and Augmented and Mixed Reality Systems Talk to Each Other † , 2020, Sensors.

[7]  Kari Tammi,et al.  Open Sensor Manager for IIoT , 2020, J. Sens. Actuator Networks.

[8]  Maria Maleshkova,et al.  SOLIOT - Decentralized Data Control and Interactions for IoT , 2020, Future Internet.

[9]  Javier Villalba-Diez,et al.  Data Handling in Industry 4.0: Interoperability Based on Distributed Ledger Technology , 2020, Sensors.

[10]  Juan A. Holgado-Terriza,et al.  Automatic Configuration of OPC UA for Industrial Internet of Things Environments , 2019 .

[11]  A. Korodi,et al.  Identifying Data Dependencies as First Step to Obtain a Proactive Historian: Test Scenario in the Water Industry 4.0 , 2019, Water.

[12]  Gedare Bloom,et al.  Design patterns for the industrial Internet of Things , 2018, 2018 14th IEEE International Workshop on Factory Communication Systems (WFCS).

[13]  Song Han,et al.  Industrial Internet of Things: Challenges, Opportunities, and Directions , 2018, IEEE Transactions on Industrial Informatics.

[14]  Samer Jaloudi,et al.  Communication Protocols of an Industrial Internet of Things Environment: A Comparative Study , 2019, Future Internet.

[15]  Adrian Korodi,et al.  Modbus-OPC UA Wrapper Using Node-RED and IoT-2040 with Application in the Water Industry , 2018, 2018 IEEE 16th International Symposium on Intelligent Systems and Informatics (SISY).

[16]  Min Chen,et al.  A Survey on Internet of Things From Industrial Market Perspective , 2015, IEEE Access.

[17]  V. Bhuvaneswari,et al.  The Internet of Things (IoT) Applications and Communication Enabling Technology Standards: An Overview , 2014, 2014 International Conference on Intelligent Computing Applications.

[18]  Shibli Nisar,et al.  Cloud Based IoT Solution for Fault Detection and Localization in Power Distribution Systems , 2020 .