Risks and Expert Systems in Water Management

Course guarantor:

Michal Toman

Lecturer:

Ladislav Satrapa, Michal Toman, Milan Zukal

Tutor:

Ladislav Satrapa, Michal Toman, Milan Zukal

Supervisor:

Department of Hydraulic Structures

Synopsis:

The subject represents an introduction overview of the sources of failures in hydraulic systems, the definitions of the risk categorization and representations of risk and the risks of non-compliance with the purpose of water works or system.

Followed by quantifying the risks and possibilities of the application risk analysis of vice-criteria evaluation of task and problems.

An essential part of the subject of the introduction of knowledge-based and expert systems (basic concepts and principles), understanding the principles of work with knowledge and familiarization with the basic activities and practices from the field of knowledge engineering. In the context of understanding the technology processing expertise, students will be also acquainted with the processes of discovery, capture, creation, classification and representation of expert knowledge. Knowledge of learning theory will be applied to the pilot examples of knowledge-based methods in water management practice.

Requirements:

previous study

Syllabus of lectures:

Risk analysis of the student's doctoral topic area. Risk management options from simple methods to knowledge engineering methods.

Syllabus of tutorials:

the course has no exercises

Study Objective:

To teach the student to analyse potential risks in the operation of water works and manage them using artificial intelligence - in relation to the topic of doctoral studies.

Study materials:

Required reading:

•Kelemen, J. – Kubík, A. – Lenharčík, I. – Mikulecký, P.: Creation of expert systems in the CLIPS environment. GRADA Publ., Prague, 1999, ISBN 80-7169-501-7

•Berka, P.: Expert systems. EU Prague, 1998, ISBN 80-7079-873-4

•Votruba L., Heřman J.: The reliability of water management works. Prague: Czech technical matrix, 1993. 496 s. ISBN 80-209-0251-1.

•specialised periodicals

•research reports

Recommended reading:

•Toman, M. - Toman, J. - Mikulecký, P. - Olševičová, K. - Ponce, D.: Inteligentní dispečerské rozhodovací systémy ve vodním hospodářství. Česká technika - nakladatelství ČVUT, 2009, 254 s., ISBN 978-80-01-04452-0

•Toman, M. - Mikulecký, P. - Olševičová, K. - Ponce, D.: Znalostní technologie ve vodním hospodářství. Vydavatelství ČVUT, 2004, 205 s., ISBN 80-01-03049-0

•Nacházel K., Zezulák J.: Využití metod umělé inteligence ve vodním hospodářství. Praha: Academia, 2004. 318 s. ISBN 80-200-0229-4

•Hartford D., Beacher G.: Risk and uncertainty in dam safety. London: Thomas Telford Publishing, 2004.391 s. ISBN 0-7277-3270-6

•Mikulecký, P. - Ponce, D. - Toman, M.: A knowledge-based decision support system for river basin management. In: River Basin Management II. Southampton, WIT PRESS 2003, pp. 177-185, ISBN 1-85312-966-6

•Mikulecký, P. - Ponce, D. - Toman, M.: A knowledge-based solution for river water resources management. In: Water Resources Management II. Southampton, WIT PRESS 2003, pp. 451-458, ISBN 1-85312-967-4

•Nacházel, K. - Toman, M.: The neural netvorks and their applicatopns to optimize energy production of hydropower plants system. In: Applications of Artificial Inteligence in Engineering. Southampton-Boston: Computational Mechanics Publications, 1997

•Nacházel, K. - Toman, M.: The genetic algorithm and its application to optimize energy utilization of a water reservoir. In: Applications of Artificial Intelligence in Engineering X, Computational Mechanics Publications, Southampton - Boston, 1995, s. 253-259

Software:

•Toman, M. - Horský, M.: ZNALOP – Riverbasin Knowledge. [Software that meets the conditions of the RIV (previously Authorised)]

•Toman, M. - Horský, M.: AVASciS - Knowledge System Water. [Software that meets the conditions of the RIV (previously Authorised)]

•CLIPS system: A Tool for Building Expert Systems: http://clipsrules.sourceforge.net/

Note:

Time-table for winter semester 2024/2025:

Time-table is not available yet

Time-table for summer semester 2024/2025:

Time-table is not available yet

The course is a part of the following study plans: