728 research outputs found
Emerging technologies and future trends in substation automation systems for the protection, monitoring and control of electrical substations
Tese de Mestrado Integrado. Engenharia Electrotécnica e de Computadores (Automação). Faculdade de Engenharia. Universidade do Porto. 201
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SUBSURFACE REPOSITORY INTEGRATED CONTROL SYSTEM DESIGN
The primary purpose of this document is to develop a preliminary high-level functional and physical control system architecture for the potential repository at Yucca Mountain. This document outlines an overall control system concept that encompasses and integrates the many diverse process and communication systems being developed for the subsurface repository design. This document presents integrated design concepts for monitoring and controlling the diverse set of subsurface operations. The Subsurface Repository Integrated Control System design will be composed of a series of diverse process systems and communication networks. The subsurface repository design contains many systems related to instrumentation and control (I&C) for both repository development and waste emplacement operations. These systems include waste emplacement, waste retrieval, ventilation, radiological and air monitoring, rail transportation, construction development, utility systems (electrical, lighting, water, compressed air, etc.), fire protection, backfill emplacement, and performance confirmation. Each of these systems involves some level of I&C and will typically be integrated over a data communications network throughout the subsurface facility. The subsurface I&C systems will also interface with multiple surface-based systems such as site operations, rail transportation, security and safeguards, and electrical/piped utilities. In addition to the I&C systems, the subsurface repository design also contains systems related to voice and video communications. The components for each of these systems will be distributed and linked over voice and video communication networks throughout the subsurface facility. The scope and primary objectives of this design analysis are to: (1) Identify preliminary system-level functions and interfaces (Section 6.2). (2) Examine the overall system complexity and determine how and on what levels the engineered process systems will be monitored, controlled, and interfaced (Section 6.2). (3) Develop a preliminary design for the overall Subsurface Repository Integrated Control System functional architecture and graphically depict the operational features of this design through a series of control system functional block diagrams (Section 6.2). (4) Develop a physical architecture that presents a viable yet preliminary physical implementation for the Subsurface Repository Integrated Control System functional architecture (Section 6.3). (5) Develop an initial concept for an overall subsurface data communications network that can be used to integrate the various control systems comprising the Subsurface Repository Integrated Control System (Section 6.4). (6) Develop a preliminary central control room design for the Subsurface Repository Integrated Control System (Section 6.5). (7) Identify and discuss the general safety-related issues and design strategies with respect to development of the Subsurface Repository Integrated Control System (Section 6.6). (8) Discuss plans for the Subsurface Repository Integrated Control System's response to off-normal operations (Section 6.7). (9) Discuss plans and strategies for developing software for the Subsurface Repository Integrated Control System (Section 6.8)
Introduction to industrial control networks
An industrial control network is a system of interconnected
equipment used to monitor and control physical
equipment in industrial environments. These networks differ
quite significantly from traditional enterprise networks due to
the specific requirements of their operation. Despite the functional
differences between industrial and enterprise networks,
a growing integration between the two has been observed. The
technology in use in industrial networks is also beginning to
display a greater reliance on Ethernet and web standards,
especially at higher levels of the network architecture. This has
resulted in a situation where engineers involved in the design
and maintenance of control networks must be familiar with
both traditional enterprise concerns, such as network security,
as well as traditional industrial concerns such as determinism
and response time. This paper highlights some of the differences
between enterprise and industrial networks, presents a brief
history of industrial networking, gives a high level explanation
of some operations specific to industrial networks, provides an
overview of the popular protocols in use and describes current
research topics. The purpose of this paper is to serve as an
introduction to industrial control networks, aimed specifically at
those who have had minimal exposure to the field, but have some
familiarity with conventional computer networks.http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=9739hb2016Electrical, Electronic and Computer Engineerin
Implementing Industry Best Practice Alarm Management
This dissertation investigates how alarm management practices can be implemented at a large industrial facility, and what effect this could have on alarm system performance. Poor performing alarm systems create an environment where alarms of high importance can be missed or operators are desensitised to the alarm system. Alarm system performance has been a factor in several high consequence industrial accidents.
The project was conducted at a large coal fired power plant which uses modern Process Control and Human Machine Interface systems. The project site has never employed any alarm management practices in the past and is seeking to implement alarm management practices based on ISA-18.2-2009 Management of Alarm Systems for the Process Industries.
The requirements of industry best practice alarm management were researched and identified. Alarm management processes were created and adopted by the project site. New software tools were developed to support the alarm management processes.
The alarm system performance at the project site was measured using these software tools. The worst performing alarms over a six month period were identified. By investigating the causes of the worst performing alarms improvements were identified that could reduce the alarm rate by 40%
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