Decision Support System for Operation of Malfunctioning Water Distribution

2012 ◽  
Author(s):  
Stephen Nyende-Byakika ◽  
Julius M. Ndambuki
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Water Distribution

Model-Based Decision Support System for Individual Prescription of the Dialysate Bicarbonate Concentration in Hemodialysis

1992 ◽  
Vol 15 (8) ◽  
pp. 447-455 ◽  
Author(s):  
O. Thews
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Water Distribution ◽  
Treatment Time ◽  
Linear Optimization ◽  
Sodium Concentration ◽  
Bicarbonate Concentration ◽  
Acid Base ◽  
Dynamic Exchange

A decision support system has been developed that determines the optimal dialysate bicarbonate concentration in hemodialysis therapy for each patient individually. The knowledge about the behavior of the acid-base state during treatment has been provided by a mathematical model for the description of dynamic exchange processes during hemodialysis. This model simulates the sodium and water distribution, the acid-base state as well as the ventilation. The decision support system uses the model for the prediction of the end-dialysis acid-base state and calculates by means of linear optimization the dialysate bicarbonate concentration which is necessary to reach a specified end-dialysis state. If the aspired acid-base state can not be reached, the system varies the dialysate sodium concentration and the treatment time. The whole program can be used on a PC and is easy to use. One decision making process lasts between 10 seconds and 5 minutes depending on the computer.

scholarly journals CLIPS based decision support system for water distribution networks

2011 ◽  
Vol 4 (1) ◽  
pp. 37-50 ◽  
Author(s):  
K. Sandeep ◽  
K. Rakesh
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Water Distribution ◽  
Query Language ◽  
Water Distribution Network ◽  
Distribution Networks ◽  
Database Management System ◽  
Geographical Information ◽  
Knowledge Generation

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 as MATLAB, 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.

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

2015 ◽  
Vol 8 (2) ◽  
pp. 9-24
Author(s):  
J. L. Gutenson ◽  
A. N. S. Ernest ◽  
J. R. Fattic ◽  
L. E. Ormsbee ◽  
A. A. Oubeidillah ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Distribution System ◽  
Distribution Systems ◽  
Water Distribution ◽  
Policy Science ◽  
Web Browser ◽  
Drinking Water Contamination ◽  
Technological Intervention

Abstract. Significant drinking water contamination events pose a serious threat to public and environmental health. Water utilities often must make timely, critical decisions without evaluating all facets of the incident. The data needed to enact informed decisions are inevitably dispersant and disparate, originating from policy, science, and heuristic contributors. Water Expert is a functioning hybrid decision support system (DSS) and expert system framework that emphasizes the meshing of parallel data structures in order to expedite and optimize the decision pathway. Delivered as a thin-client application through the user's web browser, Water Expert's extensive knowledgebase is a product of inter-university collaboration that methodically pieced together system decontamination procedures. Decontamination procedures are investigated through consultation with subject matter experts, literature review, and prototyping with stakeholders. This paper discusses the development of Water Expert, analyzing the development process underlying the DSS and the system's existing architecture specifications. Water Expert constitutes the first system to employ a combination of deterministic and heuristic models which provide decontamination solutions for water distribution systems. Results indicate that the decision making process following a contamination event is a multi-disciplinary effort. This contortion of multiple inputs and objectives limit the ability of the decision maker to find optimum solutions without technological intervention.

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