Models of Objects of Control in SCADA System for Monitoring and Operational Dispatching in Sofia Metropolitan

2014 ◽  
Vol 11 (3) ◽  
pp. 30-35
Author(s):  
Emiliya Dimitrova
Keyword(s):  
Supervisory Control ◽  
Mathematical Description ◽  
Power Transmission ◽  
Structural Models ◽  
Remote Visualization ◽  
Scada System ◽  
Production And Distribution ◽  
Industry Sectors ◽  
Transport Management ◽  
Electricity Transport

Abstract Supervisory Control and Data Acquisition systems (SCADA) are often used in some important industry sectors, such as production and distribution of electricity, transport management, etc. The purpose of this paper is to establish models of SCADA system, DISIM that is incorporated into the Central Dispatching Station of Sofia Metropolitan. Its functions are related to remote visualization and management of the structures and devices in both directions - Trains operation (DISIM-V) and Power transmission system (DISIM-Å). The suggested structural models and mathematical description are used as a basis for realization of a simulator of both SCADA systems

scholarly journals A review: towards practical attack taxonomy for industrial control systems

2018 ◽  
Vol 7 (2.14) ◽  
pp. 145 ◽  
Author(s):  
Qais Saif Qassim ◽  
Norziana Jamil ◽  
Razali Jidin ◽  
Mohd Ezanee Rusli ◽  
Md Nabil Ahmad Zawawi ◽  
...  
Keyword(s):  
Control Systems ◽  
Supervisory Control ◽  
Cyber Attacks ◽  
Critical Infrastructures ◽  
Cyber Attack ◽  
Industrial Control ◽  
Industrial Control Systems ◽  
Scada System ◽  
Water Transportation ◽  
Different Types

Supervisory Control and Data Acquisition (SCADA) system is the underlying control system of most national critical infrastructures such as power, energy, water, transportation and telecommunication. In order to understand the potential threats to these infrastructures and the mechanisms to protect them, different types of cyber-attacks applicable to these infrastructures need to be identified. Therefore, there is a significant need to have a comprehensive understanding of various types of cyber-attacks and its classification associated with both Opera-tion Technology (OT) and Information Technology (IT). This paper presents a comprehensive review of existing cyber-attack taxonomies available in the literature and evaluates these taxonomies based on defined criteria.  

scholarly journals Wind Turbine Anomaly Detection Based on SCADA Data Mining

Electronics ◽  
2020 ◽  
Vol 9 (5) ◽  
pp. 751
Author(s):  
Xiaoyuan Liu ◽  
Senxiang Lu ◽  
Yan Ren ◽  
Zhenning Wu
Keyword(s):  
Anomaly Detection ◽  
Wind Turbine ◽  
Supervisory Control ◽  
Detection Method ◽  
Classification Result ◽  
Detection Model ◽  
Scada System ◽  
Silhouette Coefficient ◽  
Abnormal State ◽  
Low Dimensional

In this paper, a wind turbine anomaly detection method based on a generalized feature extraction is proposed. Firstly, wind turbine (WT) attributes collected from the Supervisory Control And Data Acquisition (SCADA) system are clustered with k-means, and the Silhouette Coefficient (SC) is adopted to judge the effectiveness of clustering. Correlation between attributes within a class becomes larger, correlation between classes becomes smaller by clustering. Then, dimensions of attributes within classes are reduced based on t-Distributed-Stochastic Neighbor Embedding (t-SNE) so that the low-dimensional attributes can be more full and more concise in reflecting the WT attributes. Finally, the detection model is trained and the normal or abnormal state is detected by the classification result 0 or 1 respectively. Experiments consists of three cases with SCADA data demonstrate the effectiveness of the proposed method.

Integrating a Pipeline Odorant System Using Open Source Software, Including a Kalman Filter Solution to Virtualize a Flow Rate Indicator

2018 ◽  
Author(s):  
Marco Antonio D. Bezerra ◽  
Sidney C. da Silva ◽  
Silvio C. Silva
Keyword(s):  
Kalman Filter ◽  
Open Source ◽  
Open Source Software ◽  
Supervisory Control ◽  
Scada System ◽  
Machine Interface ◽  
The Subject ◽  
Filter Solution ◽  
Device Manufacturer ◽  
Proprietary Protocol

In a Supervisory Control and Data Acquisition (SCADA) system, operators use a human-machine interface (HMI) to interact with the process through industrial protocols, which have specific drivers (software pieces) installed in the SCADA servers. If the process device manufacturer does not develop a driver for its equipment, a gateway, with a protocol translator can be provided with the equipment, to translate its particular protocol to a standard industrial one, like the so popular Modbus. This work presents the development of a gateway — protocol translator — that connects an odorant unit of a pipeline terminal, which has a proprietary protocol to an industrial protocol Modbus TCP/IP. All development is made with Open Source software. The subject matter is extended to describe the solution to an issue observed due to the lack of a flowmeter in the odorant unit, where a Kalman filter was used as an estimator, to provide a virtual meter.

scholarly journals Distributed Drives Monitoring and Control: A Laboratory Setup

2013 ◽  
Vol 2013 ◽  
pp. 1-10
Author(s):  
Mini Sreejeth ◽  
Parmod Kumar ◽  
Madhusudan Singh
Keyword(s):  
Supervisory Control ◽  
Permanent Magnet Synchronous Motor ◽  
Operating Conditions ◽  
Monitoring And Control ◽  
Laboratory Setup ◽  
Scada System ◽  
Three Phase ◽  
Integrated Operation ◽  
The Individual ◽  
And Control

A laboratory setup of distributed drives system comprising a three-phase induction motor (IM) drive and a permanent magnet synchronous motor (PMSM) drive is modeled, designed, and developed for the monitoring and control of the individual drives. The integrated operation of IM and PMSM drives system has been analyzed under different operating conditions, and their performance has been monitored through supervisory control and data acquisition (SCADA) system. The necessary SCADA graphical user interface (GUI) has also been created for the display of drive parameters. The performances of IM and PMSM under parametric variations are predicted through sensitivity analysis. An integrated operation of the drives is demonstrated through experimental and simulation results.

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

Electronics ◽  
2019 ◽  
Vol 8 (8) ◽  
pp. 822 ◽  
Author(s):  
Lawrence Oriaghe Aghenta ◽  
Mohammad Tariq Iqbal
Keyword(s):  
Internet Of Things ◽  
Open Source ◽  
Supervisory Control ◽  
Low Cost ◽  
Raspberry Pi ◽  
Voltage Sensors ◽  
Scada System ◽  
Iot Platform ◽  
Field Instrumentation ◽  
Distributed Processes

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.

scholarly journals Assessment of Field Water Uniformity Distribution in a Microirrigation System using a SCADA System

Water ◽  
2019 ◽  
Vol 11 (7) ◽  
pp. 1346 ◽  
Author(s):  
Solé-Torres ◽  
Duran-Ros ◽  
Arbat ◽  
Pujol ◽  
Ramírez de Cartagena ◽  
...  
Keyword(s):  
Supervisory Control ◽  
Water Distribution ◽  
Irrigation Performance ◽  
Close Monitoring ◽  
Flow Rates ◽  
Scada System ◽  
Distribution Uniformity ◽  
System Requirements ◽  
The Right ◽  
And Control

Microirrigation is an efficient irrigation technique, although when wastewater is used the probability of operation problems such as emitter clogging increases. In most of microirrigation systems, control of irrigation performance is manual and sporadic, therefore clogging problems may not be detected at the right time. As it is easier to prevent emitter clogging if it is detected earlier, close monitoring of pressure and flow rates in microirrigation systems is an important way to achieve microirrigation system requirements and accomplish higher irrigation efficiencies. A supervisory control and data acquisition (SCADA) system was used to monitor and control the performance of three microirrigation subunits; each one with four laterals, 90 m long with 226 emitters. The SCADA system monitored the pressure and flow across the irrigation laterals, and distribution uniformity coefficients were determined in real time, as they are indexes commonly used for evaluating drip irrigation systems. Results were compared with those experimentally obtained, showing a good correlation; although the emitter position had an important effect on the computed values. This work shows that a SCADA system can be easily used to continuously assess the pressure and water distribution uniformity without carrying out time-consuming manual field assessments.

scholarly journals Sensors Data Analysis in Supervisory Control and Data Acquisition (SCADA) Systems to Foresee Failures with an Undetermined Origin

Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2762
Author(s):  
F. Javier Maseda ◽  
Iker López ◽  
Itziar Martija ◽  
Patxi Alkorta ◽  
Aitor J. Garrido ◽  
...  
Keyword(s):  
Data Acquisition ◽  
Supervisory Control ◽  
Detection Algorithm ◽  
The Novel ◽  
Industrial Internet Of Things ◽  
Machine Availability ◽  
Scada System ◽  
Industrial Internet ◽  
Scada Systems

This paper presents the design and implementation of a supervisory control and data acquisition (SCADA) system for automatic fault detection. The proposed system offers advantages in three areas: the prognostic capacity for preventive and predictive maintenance, improvement in the quality of the machined product and a reduction in breakdown times. The complementary technologies, the Industrial Internet of Things (IIoT) and various machine learning (ML) techniques, are employed with SCADA systems to obtain the objectives. The analysis of different data sources and the replacement of specific digital sensors with analog sensors improve the prognostic capacity for the detection of faults with an undetermined origin. Also presented is an anomaly detection algorithm to foresee failures and to recognize their occurrence even when they do not register as alarms or events. The improvement in machine availability after the implementation of the novel system guarantees the accomplishment of the proposed objectives.

Sign in / Sign up

Export Citation Format

Share Document