Supervision Control And Data Acquisition Research Articles

Supervision System 4.0 for a Road Tanker Washing Robot Manipulator

The washing of road tankers is currently still a manual process that requires an operator to place the washing head into the tanks. To increase productivity and operator safety, it is essential to implement automated systems with Fault Detection and Isolation (FDI) capabilities. On the other hand, the industry 4.0 paradigm promotes the use of collaborative systems that integrate with the other organization’s processes. Realizing this new vision requires Supervision, Control and Data Acquisition (SCADA) systems with FDI modules that integrate with collaborative systems and promote the digitalization of companies. This paper proposes a SCADA system for a new road tanker washing robot, aimed at integrating all systems and communication networks of the organization and future FDI modules. To this end, this paper proposes a communication architecture based on open protocols and a common database to connect SCADA to the lower and higher levels of automation. Furthermore, this paper describes the various aspects of SCADA system development, from synoptic design to validation. To support the development of the SCADA system, a Digital Twin (DT) of the road tanker washing robot was used, allowing to test and validate its functionality through this virtual prototype. The results show that the proposed SCADA system and underlying information architecture are suitable for supervision of a robotized wash operation and that the use of a Digital Twin facilitates SCADA system design and validation.

A Multi-Model Proposal for Classification and Detection of DDoS Attacks on SCADA Systems

Industrial automation and control systems have gained increasing attention in the literature recently. Their integration with various systems has triggered considerable developments in critical infrastructure systems. With different network structures, these systems need to communicate with each other, work in an integrated manner, be controlled, and intervene effectively when necessary. Supervision Control and Data Acquisition (SCADA) systems are mostly utilized to achieve these aims. SCADA systems, which control and monitor the connected systems, have been the target of cyber attackers. These systems are subject to cyberattacks due to the openness to external networks, remote controllability, and SCADA-architecture-specific cyber vulnerabilities. Protecting SCADA systems on critical infrastructure systems against cyberattacks is an important issue that concerns governments in many aspects such as economics, politics, transport, communication, health, security, and reliability. In this study, we physically demonstrated a scaled-down version of a real water plant via a Testbed environment created including a SCADA system. In order to disrupt the functioning of the SCADA system in this environment, five attack scenarios were designed by performing various DDoS attacks, i.e., TCP, UDP, SYN, spoofing IP, and ICMP Flooding. Additionally, we evaluated a scenario with the baseline behavior of the SCADA system that contains no attack. During the implementation of the scenarios, the SCADA system network was monitored, and network data flow was collected and recorded. CNN models, LSTM models, hybrid deep learning models that amalgamate CNN and LSTM, and traditional machine learning models were applied to the obtained data. The test results of various DDoS attacks demonstrated that the hybrid model and the decision tree model are the most suitable for such environments, reaching the highest test accuracy of 95% and 99%, respectively. Moreover, we tested the hybrid model on a dataset that is used commonly in the literature which resulted in 98% accuracy. Thus, it is suggested that the security of the SCADA system can be effectively improved, and we demonstrated that the proposed models have a potential to work in harmony on real field systems.

Early Detection of Main Bearing Damage in Wind Turbines

According to the European Wind Energy Academy (EAWE), the wind industry has recognized that main bearing failures are a major concern in order to increase the reliability and availability of wind turbines. This is due to the high replacement cost of major repairs and the long downtime associated with main bearing failures. As a result, predicting main bearing failure has become an economically important problem as well as a technological difficulty. This paper presents a data-driven technique based on a closed recurrent unit (GRU) neural network for early failure prediction (months in advance). The main contributions of this work are: (i) The prediction is made exclusively using SCADA (Supervision Control and Data Acquisition) data already present in all industrial wind turbines. Therefore, there is no need to add additional sensors intended for a specific use. (ii) Since the proposed approach only requires healthy data, it can be used in any wind farm even if it has not recorded faulty data. (iii) The suggested algorithm operates under a variety of operational and environmental circumstances. (iv) The methodology is validated in two real inproduction wind turbines. production.

Dam Safety: Hazards Created by Human Failings and Actions

Dam Safety and dam incidents are treated here looked at from the “Human Factors” perspective. An attempt is made to explore these factors as an important drive in impairing dams’ safety and increases their risks. Distinction is drawn between the “Normal Human Caused Incidents” and the “Extraordinary Human Caused Incidents” together with the description of their root origins and subsequent consequences. The first type includes unintentional mistakes, errors and flaws committed by the operators of dams inadvertently, in addition to negligence, lack of experience or overconfidence. Such failings can happen in manual operation of dams, or through the use of their Supervision, Control and Data Acquisition (SCADA) systems as in industrial control system (ICS). They can occur also due to flaws in software or even in the application of information and communication technology (ICT) in remote control operations. As for the second group; the extraordinary human factors, they are defined here as those committed by man with the full understanding of their possible damage. They are done purposely for destabilizing dams after thoughtful and carefully meditated decision making process and they are manifested in acts of war, sabotage and terrorists actions. In this modern age, these acts are characteristics of hackers’ attacks on dam(s) operating systems. This is done through the use of cyberspace by the widespread interconnected digital technology with the accompanying advances in the communication technologies. As such, these technologies have made remote control of such systems possible. Not limited to this, dams remain now, as they were always in the past, the obvious targets in wars and conflicts to inflict losses on the enemy and to use them as weapons, and for terrorism actions for challenging governments. Examples of the aforementioned threats are described with examples given from real cases to elucidate the dangers involved. Lessons to be learned from these incidents are derived and recommendations are presented to be followed to avoid risky situations.

Integration of SCADA Services and Power-Hardware-in-the-Loop Technique in Cross-Infrastructure Holistic Tests of Cyber-Physical Energy Systems

Cyber-physical energy system (CPES)—complex juxtaposition of multiple energy domains and communication and automation technologies—requires a sophisticated testing framework to achieve holistic assessment and validation, especially at large scale. In this article, the real supervision, control, and data acquisition (SCADA) system of CPES is integrated with the advanced techniques—real-time simulation (RTS) and power-hardware-in-the-loop (PHIL), in a cross-infrastructure manner to create a realistic validation environment for CPES. On the one hand, the method can be applied to extend the capacity of the infrastructures as well as creating a common resource and expertise pool. On the other hand, this approach combines the realistic data and advanced SCADA services with the flexibility of the RTS platform, which provides the possibility to emulate extreme and faulty scenarios with virtual equipment and topology. The proposed approach is demonstrated via a case study of analyzing the impact of communication on advanced voltage and frequency restoration in an isolated microgrid. The case study is implemented on two remote platforms PREDIS-PRISMES (70 km apart). The validation framework comprises the RTS and PHIL platform coupled with the OPC UA SCADA system in PRISMES, the control algorithm and the communication network simulator located in PREDIS platform.

Irrigation System Designed with SCADA and Wireless Sensor Network Applied to the Colombian Environment

Objectives: This document describes an automatic irrigation system design, using SCADA software and wireless sensor network. Methods/Analysis: The system was made using the drip irrigation system method, and the communication the field and the supervisor system was established using ZigBee devices connected in mesh topology. The SCADA system monitors four variables of the field: temperature, soil moisture content, water and nutrient level and status of the ZigBee device. Findings: The purpose of this paper is not only to contribute knowledge to the development of the Colombian field, through the application of new technologies of irrigation automation of crops, but to motivate research, development and innovation around this topic. Improvements: It is contemplated the use of a web portal where you can monitor the system, thus adding a notification mode. In addition, the use of redundancy to avoid loss of data in the crop, both on the side of data acquisition, and on the side of storage. Keywords: Data Logging, Drip Irrigation, Precision Agriculture, Supervision-Control And Data Acquisition (SCADA), ZigBee

Temperature, Humidity and Irrigation Control System for the Production of Orellana Edible Mushroom in a Greenhouse

Objectives: To improve the quality of the product, an automatic control of temperature, humidity and irrigation was designed for a greenhouse. Methods/Analysis: This paper describes the sensors, actuators, controllers, control algorithms and software that make it possible to know and maintain within an optimal range environmental variables of temperature and humidity inside the room fruiting; as well as substrate moisture feeding the fungus. Findings: As a result, a simulation of the designed system was obtained by a software supervisory control and data acquisition. Improvements: It was concluded that the proposed system is the ability to monitor and control environmental variables, described it above, in the greenhouse of eatable mushroom Orellana; and to adjust variables to a window it was verified that is sufficient control “on/ off”. Keywords: Control, Greenhouse, Humidity, Pleurotus Ostreatus, Temperature, Supervision-Control And Data Acquisition (SCADA)

Unavailability of critical SCADA communication links interconnecting a power grid and a Telco network

The availability of power supply to power grid customers depends upon the availability of services of supervision, control and data acquisition (SCADA) system, which constitutes the nervous system of a power grid. In turn, SCADA services depend on the availability of the interconnected networks supporting such services. We propose a service oriented stochastic modelling methodology to investigate the availability of large interconnected networks, based on the hierarchical application of different modelling formalisms to different parts of the networks. Interconnected networks are decomposed according to the specific services delivered until the failure and repair mechanisms of the decomposed elementary blocks can be identified. We represent each network by a convenient stochastic modelling formalism, able to capture the main technological issues and to cope with realistic assumptions about failure and recovery mechanisms. This procedure confines the application of the more intensive computational techniques to those subsystems that actually require it. The paper concentrates on an actual failure scenario, occurred in Rome in January 2004 that involved the outage of critical SCADA communication links, interconnecting a power grid and a Telco network.