CLIPS based decision support system for water distribution networks

6Citations
Citations of this article
31Readers
Mendeley users who have this article in their library.

Abstract

The difficulty in knowledge representation of a water distribution network (WDN) problem has contributed to the limited use of artificial intelligence (AI) based expert systems (ES) in the management of these networks. This paper presents a design of a Decision Support System (DSS) that facilitates "on-demand" knowledge generation by utilizing results of simulation runs of a suitably calibrated and validated hydraulic model of an existing aged WDN corresponding to emergent or even hypothetical but likely scenarios. The DSS augments the capability of a conventional expert system by integrating together the hydraulic modelling features with heuristics based knowledge of experts under a common, rules based, expert shell named CLIPS (C Language Integrated Production System). In contrast to previous ES, the knowledge base of the DSS has been designed to be dynamic by superimposing CLIPS on Structured Query Language (SQL). The proposed ES has an inbuilt calibration module that enables calibration of an existing (aged) WDN for the unknown, and unobservable, Hazen-Williams C-values. In addition, the daily run and simulation modules of the proposed ES further enable the CLIPS inference engine to evaluate the network performance for any emergent or suggested test scenarios. An additional feature of the proposed design is that the DSS integrates computational platforms such asMATLAB, open source Geographical Information System (GIS), and a relational database management system (RDBMS) working under the umbrella of the Microsoft Visual Studio based common user interface. The paper also discusses implementation of the proposed framework on a case study and clearly demonstrates the utility of the application as an able aide for effective management of the study network. © 2011 Author(s).

References Powered by Scopus

Ant colony optimization for design of water distribution systems

442Citations
N/AReaders
Get full text

Combining a fuzzy optimal model with a genetic algorithm to solve multi-objective rainfall-runoff model calibration

302Citations
N/AReaders
Get full text

Machine-learning paradigms for selecting ecologically significant input variables

167Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Towards an enhanced knowledge-based Decision Support System (DSS) for integrated water resource management (IWRM)

19Citations
N/AReaders
Get full text

Modeling and simulation of Cyber Physical Systems: A case of an adaptive water management system

5Citations
N/AReaders
Get full text

Water Expert: A conceptualized framework for development of a rule-based decision support system for distribution system decontamination

1Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Sandeep, K., & Rakesh, K. (2011). CLIPS based decision support system for water distribution networks. Drinking Water Engineering and Science, 4(1), 37–50. https://doi.org/10.5194/dwes-4-37-2011

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 12

67%

Researcher 3

17%

Lecturer / Post doc 2

11%

Professor / Associate Prof. 1

6%

Readers' Discipline

Tooltip

Engineering 11

50%

Computer Science 4

18%

Environmental Science 4

18%

Business, Management and Accounting 3

14%

Article Metrics

Tooltip
Mentions
References: 1

Save time finding and organizing research with Mendeley

Sign up for free