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Main Description show detail >>

Department:	Manufacturing Engineering	Module Code:	INST81000
Level:	Level 8	Contact Hours:	36
Duration:		Directed Study Hours:	0
Effective Term:	2015/16	Indep. Study Hours:	64
Credits:	5

Prerequisite Knowledge:

INST 61002 Instrument Technology 1 ELEC 61001 Electronics ELEC 71000 Digital Communications

Module Description/Aims:

This module will provide the student with an in-depth knowledge of sensor instrumentation and suitable monitoring and control algorithms, with relation to renewable energy and energy management systems. The student will be able to select and implement specific sensing elements for a wide area of applications and create both analogue and digital interfaces between these sensors and both embedded and integrated energy systems.

The student will also develop PC-based system control algorithms using the Octave software and implement these algorithms in the LabView Processing environment, taking real-world sensor data as input and generating real-world system control signals as output.
These control algorithms will also be implemented on embedded systems.

The student will build a knowledge of SCADA (supervisory control and data acquisition) systems which are widely used within industry for automation purposes. These system are currently finding application in the fields of renewable energy system monitoring, energy management systems, manufacturing plant automation, farm automation, Anaerobic Digestion facilities, domestic and industrial energy usage monitoring, among others.

Contact Hours show detail >>

Contact Type	Hours
Lecture	1 Per Week
Practical/Workshop	2 Per Week

Learning Outcomes show detail >>

On successful completion of the module, the learner will be able to:

No.	Description/Learning Outcomes
1	Evaluate a wide range of electronic sensing elements for differing instrumentation applications in the field of renewable energy and energy management systems
2	Create analogue and digital interfaces from these sensors to both embedded and integrated digital control systems
3	Generate control algorithms based on sensor inputs
4	Implement control algorithms in embedded and PC systems
5	The student will have the ability to create sensor-based monitoing system for both domestic and industrial facilities and interpret the collected data resulting in the development of control algorithms for the purpose of increase energy efficiency and management

Learning Strategies show detail >>

Learning Strategies
This module will be largely lab-based allowing the use of practical, `hands-on? problem based learning techniques.
Instrumentation, monitoring and control theory will be delivered in lectures and supplemented by the recommended reading texts.
Sensor interfaces, monitoring and control systems will be taught through the LabView Software Development Environment and Data Acquisition cards. Embedded Sensor systems will be thought using the Arduino micro-processing boards. Control algorithms will be developed using GNU Octave software (GNU General Public Licience Freeware)
Lectures will be delivered using powerpoint presentations
Lecture notes will be made available to students on the BlackBoard online learning tool in text and powerpoint formats

Indicative Syllabus Content show detail >>

Content	Detail
Electronic Sensing Elements	Introduction to electronic sensors; temperature, humidity, sound, lux, movement, accelerometers,
Analogue Signal Conditioning	Sensor signal conditioning in preparation for digital conversion. Analogue filtering and Instrumentation amplifiers.
LabView? Development Environment	Introduction to LabView software. Basic control circuits. Introduction to LabView Data Aquissition cards. Digital and Analogue data Acquisition. Basic sensor input, digital signal processing and control outputs.
Analogue-to-Digital Conversion	Basic overview of ADC process, resolution, sampling rates, Nyquist frequency, input voltage range.
Control Systems	Basic control algorithm development. Evaluation of input data, data processing, control output generation
Introduction to Embedded Systems	Arduino based embedded sensor systems. On chip ADCs, Digital I/Os, Comms with PC.
Embedded Data Capture and Processing	Integration of sensing elements in an embedded system. Practical data capture, processing and control.

Assessment Strategies show detail >>

Assessment Strategies
Lab-based mini-project - to be completed in each lab with report submitted for each
Continuous assessment in-class supported out-of-class project The development of a prototype monitoring system suitable for renewable energy / energy management system monitoring, together with an embedded control system which will interpret the collected data and apply a developed control algorithm for the purpose of increase energy efficiency. This project will be completed in small-sized groupings of 2 to 3 students.
Final written Exam

Indicative Assessments show detail >>

Learning Outcome	Assessment Category	Assessment Method	Additional Information	% alloc
1, 2	Final Exam (Scheduled)	Final Written Exam		30
2, 3, 4	Continuous Assessment	Laboratory Experiments	Practical application of Theory	30
2, 3, 4	Continuous Assessment	Project - Group	Group of 2/3. In-class supported out-of-class project	40

Reading List show detail >>

Type	ISBN	Title Author Publisher	Year	Library Link
Recommended	9780028028330	Electronic Principles Malvino Career Education	1998	-
Recommended	0131856723	Labview for Everyone J. Travis & J, Kring Prentice Hall	2006	-
Recommended	0596510519	Making things talk Tom Igoe O?Reilly	2007	-
Recommended	0750650818	Measurement and Instrumentation Principles Alan S Morris Butterworth-Henemann	2003	view
Recommended	1556179952	The Condensed Handbook of Measurement and Control N. E. Battikha ISA	2007	-

Journals and Websites show detail >>

Type	Description

View Module Details For

Instrumentation; Monitoring and Control