Open Source SCADA System for Advanced Monitoring of Industrial Processes

Merchan, Daniel F.; Peralta, Jonnathan A.; Vazquez-Rodas, Andres; Minchala, Luis I.; Astudillo-Salinas, Darwin

doi:10.1109/inciscos.2017.9

Cited by 25 publications

(16 citation statements)

References 8 publications

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“…Traditionally, SCADA solutions were built as monolithic platforms where specific industrial protocols, such as OPC, were employed (Boyer, 2016). Initial applications for Industry 4.0 also followed this paradigm (Merchan et al, 2018). Nevertheless, recently, new and different modules for slightly distributed SCADA solutions have been reported (Branger and Pang, 2015), and even cloud-based platforms may be found (Sajid et al, 2016).…”

Section: State Of the Artmentioning

confidence: 99%

Controlling Supervised Industry 4.0 Processes through Logic Rules and Tensor Deformation Functions

Bordel¹,

Alcarria²,

Robles³

2021

Informatica

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Section: State Of the Artmentioning

confidence: 99%

Controlling Supervised Industry 4.0 Processes through Logic Rules and Tensor Deformation Functions

Bordel¹,

Alcarria²,

Robles³

2021

Informatica

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“…The problems of real time control system could be solved using Open source code. Paper [15] also used open source SCADA system for process monitoring which used open source in different form with machine communication using OPC unified architecture. IoT based SCADA system was developed in paper [16].…”

Section: Related Workmentioning

confidence: 99%

Design and Implementation of Cost Efficient SCADA System for Industrial Automation

Phuyal¹,

Bista²,

Iżykowski³

et al. 2020

IJEM

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Supervisory Control and Data Acquisition system facilitates the monitoring and control of industrial process from the designated control station. The cost investment for implementing the SCADA system is expensive and is not in approach of small and medium scale industries these days. Developing the customized SCADA system helps to reduce the cost in software components and becomes more close approach to the small and medium scale industries. In this research we presented a SCADA software developed in C# environment and successfully tested in industrial process monitoring and control. The developed SCADA software is capable of remotely supervise, control and data monitoring facility and is also capable of data logging in the IoT server. This approach has been found to be efficient in both aspects, technically and economically.

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“…Elsewhere, Merchan et al [18] implemented an open source SCADA system by using the general purpose programming platform, Python. Their proposed system is made up of three layers: a Device Layer, which is the process plant being managed, a Controller Layer, which comprises of two PLCs, and lastly, a Supervision Layer comprising of HMI SCADA client, and Python Open Platform Communications Unified Architecture (OPC-UA) Server with Structured Query Language (MySQL) Database, both installed in a Raspberry Pi3.…”

Section: Literature Reviewmentioning

confidence: 99%

Low-Cost, Open Source IoT-Based SCADA System Design Using Thinger.IO and ESP32 Thing

Aghenta

Iqbal

2019

Electronics

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Supervisory Control and Data Acquisition (SCADA) is a technology for monitoring and controlling distributed processes. SCADA provides real-time data exchange between a control/monitoring centre and field devices connected to the distributed processes. A SCADA system performs these functions using its four basic elements: Field Instrumentation Devices (FIDs) such as sensors and actuators which are connected to the distributed process plants being managed, Remote Terminal Units (RTUs) such as single board computers for receiving, processing and sending the remote data from the field instrumentation devices, Master Terminal Units (MTUs) for handling data processing and human machine interactions, and lastly SCADA Communication Channels for connecting the RTUs to the MTUs, and for parsing the acquired data. Generally, there are two classes of SCADA hardware and software; Proprietary (Commercial) and Open Source. In this paper, we present the design and implementation of a low-cost, Open Source SCADA system by using Thinger.IO local server IoT platform as the MTU and ESP32 Thing micro-controller as the RTU. SCADA architectures have evolved over the years from monolithic (stand-alone) through distributed and networked architectures to the latest Internet of Things (IoT) architecture. The SCADA system proposed in this work is based on the Internet of Things SCADA architecture which incorporates web services with the conventional (traditional) SCADA for a more robust supervisory control and monitoring. It comprises of analog Current and Voltage Sensors, the low-power ESP32 Thing micro-controller, a Raspberry Pi micro-controller, and a local Wi-Fi Router. In its implementation, the current and voltage sensors acquire the desired data from the process plant, the ESP32 micro-controller receives, processes and sends the acquired sensor data via a Wi-Fi network to the Thinger.IO local server IoT platform for data storage, real-time monitoring and remote control. The Thinger.IO server is locally hosted by the Raspberry Pi micro-controller, while the Wi-Fi network which forms the SCADA communication channel is created using the Wi-Fi Router. In order to test the proposed SCADA system solution, the designed hardware was set up to remotely monitor the Photovoltaic (PV) voltage, current, and power, as well as the storage battery voltage of a 260 W, 12 V Solar PV System. Some of the created Human Machine Interfaces (HMIs) on Thinger.IO Server where an operator can remotely monitor the data in the cloud, as well as initiate supervisory control activities if the acquired data are not in the expected range, using both a computer connected to the network, and Thinger.IO Mobile Apps are presented in the paper.2 of 24 plants and industrial processes both locally and remotely. The system involves the examination, collection, and processing of data in real time, as well as data logging for historical purposes. The architectural design of a standard SCADA system starts with Remote Terminal Units (RTUs), and/or Programmable Logic Controllers...

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Open Source SCADA System for Advanced Monitoring of Industrial Processes

Cited by 25 publications

References 8 publications

Controlling Supervised Industry 4.0 Processes through Logic Rules and Tensor Deformation Functions

Controlling Supervised Industry 4.0 Processes through Logic Rules and Tensor Deformation Functions

Design and Implementation of Cost Efficient SCADA System for Industrial Automation

Low-Cost, Open Source IoT-Based SCADA System Design Using Thinger.IO and ESP32 Thing

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