The management, control and implementation of SCADA projects
- Authors: Jacobs, Kevin Bruce
- Date: 2012-02-06
- Subjects: Project management , Supervisory control systems , Automatic data collection systems , Risk management
- Type: Thesis
- Identifier: uj:2007 , http://hdl.handle.net/10210/4360
- Description: M.Ing. , The dissertation covers the establishment of a project from the point of view of a project manager. The document refers to examples where possible to illustrate the actual process through which a project goes during the life-cycle of the project. The first chapter provides an introduction to the context of the project and informs the reader of the type of project which the dissertation discusses. An overview of SCAD A (Supervisory Control and Data Acquisition) systems is discussed followed by field hardware to highlight the environment of typical engineering projects in the automation industry. An introduction to project management is discussed to set the context of the dissertation in motion. The second chapter covers the relevant theoretical stages of a project starting from the early stages of defining the project scope through to the project closure. Each of the stages in the project are dissected and considered within the context of a typical SCAD A oriented project. The third chapter is a case study of the "Jwaneng SCADA Project," which is the name assigned to the project from this point onwards. The project illustrates a typical project which an engineering project manager will manage. The project covers the details of the work involved in the project by passing through all the stages involved in an engineering project. Each stage of the project is illustrated by making reference to appendices containing project specific documents. The project is considered from the point of the original development of the project plan through to the completion of the project. This involves extensive controlling and ensuring that the project is running smoothly. These basic principles are illustrated in the document and aim to inform the reader on the successful dissection and implementation of a proper engineering project plan from start to finish.
- Full Text:
Alert modeling on supervisory control and data acquisition system with remote terminal unit
- Authors: Dey, A.K.
- Date: 2015
- Subjects: Supervisory control systems , Automatic data collection systems , Computer networks - Security measures , Computer security
- Language: English
- Type: Masters (Thesis)
- Identifier: http://hdl.handle.net/10210/82632 , uj:18981
- Description: Abstract: Supervisory control and data acquisition (SCADA) systems have evolved over from standalone, compartmentalized operations into networked architectures that communicate across large distances. In addition, their implementations have migrated from custom hardware and software to standard hardware and software platforms. These changes have led to reduced development and operational as well as providing executive management with real-time information that can be used to support planning, supervision, and decision making. For reasons of efficiency, maintenance, data acquisition and control platforms have migrated from isolated in-plant networks security using proprietary hardware and software to Remote Terminal Unit using standard software, network protocols, and the Internet. Control engineering might be absorbed or closely integrated with the corporate software. Integrating SCADA data collection and alert monitoring with corporate customer data provides management with an increased ability to run the organization more efficiently and effectively. This thesis provides a conceptual analysis for the creation of a SCADA network security exploration alert. A framework application using common SCADA network security logic is created to provide a proof of concept. Development of a viable alert system for identifying SCADA network remotely will help improve critical infrastructure security by improving situational awareness for network managers. , M.Eng.
- Full Text:
Comparison of conventional DAQ systems and embedded DAQ systems
- Authors: Mabunda, Nkateko Eshias
- Date: 2015-06-25
- Subjects: Embedded computer systems , Automatic data collection systems , Microcontrollers , Signal processing - Digital techniques - Computer programs , LabVIEW
- Type: Thesis
- Identifier: uj:13614 , http://hdl.handle.net/10210/13797
- Description: M. Tech. (Electrical & Electronic Engineering) , In this research we compare conventional data acquisition system (DAS) with the embedded data acquisition systems. The performance specifications of 4 different types of DAQ cards are drawn up with special emphasis made on the following parameters: Slew rate, settling time, relative accuracy and system noise. These parameters are taken from 2 conventional DAS and then compared to those taken from 2 embedded data acquisition systems under the same electrical conditions. The embedded DAQ system’s hardware was built using the PIC Microcontroller interfaced to the Digital to Analog Convertors (DAC). MPLAB C18 is used to create a program which communicates with the embedded DAQ system, to transmit generated signals. National Instrument's LabView is used to create a program which communicates with the conventional DAQ system, to acquire external generated signals and retransmit the signals. In most cases the performance of conventional and embedded are close, but one of the embedded DAS seem to be unstable at high frequencies.
- Full Text:
Designing photovoltaic based energy systems using data acquisition and cloud computing
- Authors: Mabunda, N.E.
- Date: 2017
- Subjects: Cloud computing , Automatic data collection systems , Photovoltaic power systems
- Language: English
- Type: Doctoral (Thesis)
- Identifier: http://hdl.handle.net/10210/285938 , uj:30931
- Description: D.Phil. (Electrical and Electronic Engineering) , Abstract: Population growth and technology advancements are amongst many factors that have led to the increasing electrical energy capacity demands. Several economic, security and environmental factors form obstacles to the expansion of electrical energy supply. Adding to damage caused to the earth’s ozone layer, the majority of electrical energy infrastructures require long transmission lines for the transmission of power to their respective destinations. There is a recent security concern of copper cable theft. Well-designed standalone PV system can contribute to solving the above-mentioned challenges. The design of PV systems is complex due to variations of its main source, i.e. the sun’s solar irradiance. Various organizations made efforts to assist designers with meteorological data, however they failed to cover every corner of this planet and some of the data is sold at expensive rates. This research’s main objective is to simplify the design of PV systems by using Data Acquisition System (DAS) and cloud computing. Two DAS based tools were designed to aid with collection of solar site analysis and load analysis data. The first of the two DAS based tools collects solar energy power samples by employing four small 1 W, 5 V panels, each elevated by 20 degrees. These solar panels are oriented to point to the four primary compass directions, i.e. North, East, West and South. Four panels enable the capturing of solar energy from all directions whilst identifying the directions, which are producing the highest energy during specific time intervals. The DAS acquired solar energy is saved during every 1 % (10 W/m2) change and this occurs once in every three minutes. This DAS acquired data is later transferred to the cloud for storage and sharing. The second DAS based tool is used to collect load analysis data. This device has a built-in current transformer that detects the current that is drawn by the connected load and step down transformer to detect corresponding voltage changes. Power factor is ignored because this research interest lies within the domestic environment. Energy is calculated every one second and saved as a cumulative sum of 25 Wh increments. The algorithms within the two data collection tools, only add new entries to the records whenever there is a significant change of values, as a result, the number of saved data records is optimized, and ultimately this minimizes cloud storage requirements. Both DAS tools employ the National Instruments (NI) myRIO data acquisition (DAQ) cards to collect and process incoming voltage signals. The DAQ card's...
- Full Text: