Intelligent Framework for Sewer Pipes' Performance Evaluation, Optimal Strategy for Rehabilitation & Failures Prediction Using GIS, AI and DSS.
Emara, S., Eldean, M., Naguib, E., Edeen, G. (2020). Intelligent Framework for Sewer Pipes' Performance Evaluation, Optimal Strategy for Rehabilitation & Failures Prediction Using GIS, AI and DSS.. EKB Journal Management System, 37(2), 13-41. doi: 10.21608/bfemu.2020.120049
Samia Emara; Mohammed Eldean; Esmail Naguib; Galal Edeen. "Intelligent Framework for Sewer Pipes' Performance Evaluation, Optimal Strategy for Rehabilitation & Failures Prediction Using GIS, AI and DSS.". EKB Journal Management System, 37, 2, 2020, 13-41. doi: 10.21608/bfemu.2020.120049
Emara, S., Eldean, M., Naguib, E., Edeen, G. (2020). 'Intelligent Framework for Sewer Pipes' Performance Evaluation, Optimal Strategy for Rehabilitation & Failures Prediction Using GIS, AI and DSS.', EKB Journal Management System, 37(2), pp. 13-41. doi: 10.21608/bfemu.2020.120049
Emara, S., Eldean, M., Naguib, E., Edeen, G. Intelligent Framework for Sewer Pipes' Performance Evaluation, Optimal Strategy for Rehabilitation & Failures Prediction Using GIS, AI and DSS.. EKB Journal Management System, 2020; 37(2): 13-41. doi: 10.21608/bfemu.2020.120049

Intelligent Framework for Sewer Pipes' Performance Evaluation, Optimal Strategy for Rehabilitation & Failures Prediction Using GIS, AI and DSS.

MEJ- Mansoura Engineering Journal
Article 6, Volume 37, Issue 2, June 2012, Page 13-41  XML PDF (5.67 MB)
Document Type: Research Studies
DOI: 10.21608/bfemu.2020.120049
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Authors
Samia Emara* 1; Mohammed Eldean2; Esmail Naguib3; Galal Edeen4
1Electrical Engineering Department., Faculty of Engineering., El-Mansoura University., Mansoura., Egypt.
2Assistant Professor., Electrical Engineering Department., Faculty of Engineering., El-Mansoura University., Mansoura., Egypt.
3Professor of Electrical Engineering Department., Faculty of Engineering., El-Mansoura University., Mansoura.,Egypt.
4Professor of Electrical Engineering Department., Faculty of Engineering.,El-Mansoura University., Mansoura., Egypt.
Abstract
The treatment of water and wastewater utilities problem represents the best usage of our resources on the national economy. One of the problems that face Egypt now is the ad-hoc failure of water &wastewater utilities. The rapid growth of its population yearly increased both water demands and water disposal. Serious strategies for water development & improving water disposal have to be established to prevent this failure which leads to both private and public benefit. Besides Wastewater utilities face an aging workforce, combined with the declining maintenance budget which presents challenges to infrastructure management agencies to sustain acceptable performance levels and to meet the high demands of these systems. Need for new techniques to improve the efficiency of managing civil infrastructure systems is evident. Many infrastructure management software tools have been developed to address the increasing complexity of infrastructure systems. However, most of these tools were developed for stand-alone use, and thus lack an integrated and comprehensive view to the infrastructure management process and the ability to interoperate with other tools. This research presents an integrated component-based framework that aims to integrate different tools and technologies into one coherent environment to enable infrastructure agencies to address various aspects of infrastructure management from an integrative perspective. One of the most important integration is the integration between GIS and Al .So integration with ANN will be used 10 develop a prediction model for pipe failures and with GA will lead find near optimal solution for sewer rehabilitation according to certain budget. 
Keywords
Ai; Ann; Ga; GIS
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