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 ◽  
...  

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.

Author(s):  
M. Agus Syamsul Arifin ◽  
Susanto Susanto ◽  
Deris Stiawan ◽  
Mohd Yazid Idris ◽  
Rahmat Budiarto

<p>Supervisory control and data acquisition (SCADA) has an important role in communication between devices in strategic industries such as power plant grid/network. Besides, the SCADA system is now open to any external heterogeneous networks to facilitate monitoring of industrial equipment, but this causes a new vulnerability in the SCADA network system. Any disruption on the SCADA system will give rise to a dangerous impact on industrial devices. Therefore, deep research and development of reliable intrusion detection system (IDS) for SCADA system/network is required. Via a thorough literature review, this paper firstly discusses current security issues of SCADA system and look closely benchmark dataset and SCADA security holes, followed by SCADA traffic anomaly recognition using artificial intelligence techniques and visual traffic monitoring system. Then, touches on the encryption technique suitable for the SCADA network. In the end, this paper gives the trend of SCADA IDS in the future and provides a proposed model to generate a reliable IDS, this model is proposed based on the investigation of previous researches. This paper focuses on SCADA systems that use IEC 60870-5-104 (IEC 104) protocol and distributed network protocol version 3 (DNP3) protocol as many SCADA systems use these two protocols.</p>


2006 ◽  
Vol 53 (4-5) ◽  
pp. 179-184 ◽  
Author(s):  
P.J. Smith ◽  
S. Vigneswaran ◽  
H.H. Ngo ◽  
H.T. Nguyen ◽  
R. Ben-Aim

The application of automation and supervisory control and data acquisition (SCADA) systems to municipal water and wastewater treatment plants is rapidly increasing. However, the application of these systems is less frequent in the research and development phases of emerging treatment technologies used in these industries. This study involved the implementation of automation and a SCADA system to the submerged membrane adsorption hybrid system for use in a semi-pilot scale research project. An incremental approach was used in the development of the automation and SCADA systems, leading to the development of two new control systems. The first system developed involved closed loop control of the backwash initiation, based upon a pressure increase, leading to productivity improvements as the backwash is only activated when required, not at a fixed time. This system resulted in a 40% reduction in the number of backwashes required and also enabled optimised operations under unsteady concentrations of wastewater. The second system developed involved closed loop control of the backwash duration, whereby the backwash was terminated when the pressure reached a steady state. This system resulted in a reduction of the duration of the backwash of up to 25% and enabled optimised operations as the foulant build-up within the reactor increased.


Author(s):  
С.Л. Добрынин ◽  
В.Л. Бурковский

Произведен обзор технологий в рамках концепции четвертой промышленной революции, рассмотрены примеры реализации новых моделей управления технологическими процессами на базе промышленного интернета вещей. Описано техническое устройство основных подсистем системы мониторинга и контроля, служащей для повышения осведомленности о фактическом состоянии производственных ресурсов в особенности станков и аддитивного оборудования в режиме реального времени. Архитектура предлагаемой системы состоит из устройства сбора данных (УСД), реализующего быстрый и эффективный сбор данных от станков и шлюза, передающего ликвидную часть информации в облачное хранилище для дальнейшей обработки и анализа. Передача данных выполняется на двух уровнях: локально в цехе, с использованием беспроводной сенсорной сети (WSN) на базе стека протоколов ZigBee от устройства сбора данных к шлюзам и от шлюзов в облако с использованием интернет-протоколов. Разработан алгоритм инициализации протоколов связи между устройством сбора данных и шлюзом, а также алгоритм выявления неисправностей в сети. Расчет фактического времени обработки станочных подсистем позволяет более эффективно планировать профилактическое обслуживание вместо того, чтобы выполнять задачи обслуживания в фиксированные интервалы без учета времени использования оборудования We carried out a review of technologies within the framework of the concept of the fourth industrial revolution; we considered examples of the implementation of new models of process control based on the industrial Internet of things. We described the technical structure of the main subsystems of the monitoring and control system to increase awareness of the actual state of production resources in particular machine tools and additive equipment in real time. The architecture of the proposed system consists of a data acquisition device (DAD) that implements fast and efficient data collection from machines and a gateway that transfers the liquid part of information to the cloud storage for further processing and analysis. We carried out the data transmission at two levels, locally in the workshop, using a wireless sensor network (WSN) based on ZigBee protocol stack from the data acquisition device to the gateways and from the gateways to the cloud using Internet protocols. An algorithm was developed for initializing communication protocols between a data acquisition device and a gateway, as well as an algorithm for detecting network malfunctions. Calculating the actual machining time of machine subsystems allows us to more efficiently scheduling preventive maintenance rather than performing maintenance tasks at fixed intervals without considering equipment usage


2020 ◽  
Vol 11 (3) ◽  
pp. 294-319
Author(s):  
A. E. Varshavsky ◽  
V. V. Dubinina

Purpose: the main purpose of this article is to analyze the main trends and directions of development of industrial robots, as well as the problems associated with their distribution. To achieve these goals, the following tasks were solved: analysis of the dynamics of the stock of industrial robots, the structure of the stock of robots by region (Europe, America, Asia / Australia), as well as the annual volumes and structure of world sales of robots by key industries; analysis of the main tasks of industrial robots, performed by them in these industries, and the directions of their use; analyze the dynamics of the robot fleet by industry in different countries (Japan, USA, South Korea, China, Germany, etc.); analysis of indicators and problems of using industrial robots in Russia.Methods: the research methodology consists in a comparative analysis of the use of industrial robots in different industries (automotive, food, chemical, electronic, etc.) based on statistical data by country. A systematic approach, tabular and graphical interpretation of information was applied, analysis of the dynamics of the levels of the time series, the calculation of growth indices of indicators.Results: the analysis showed that the use of industrial robots reduces injuries at the workplace, production costs and improves the quality of the final product, productivity, flexibility and safety, which contributes to a significant increase in their use in both developed and developing countries.Conclusions and Relevance: recently, robotization has become available even in non-industrial countries. The introduction of robotization into production processes increases the competitiveness of the economy. The acceleration of digitalization and automation, as well as the ease of use of industrial robots, are driving their proliferation. In Russia, the wider use of industrial robots, the development of the industrial Internet of things and the implementation of digitalization are possible only on the basis of the restoration and further development of mechanical engineering, electronic and other manufacturing industries.


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