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120049

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

Article

Last updated: 22 Jan 2023

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Subjects

-

Tags

Electrical Engineering

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. 

DOI

10.21608/bfemu.2020.120049

Keywords

AI, ANN, GA, GIS

Authors

First Name

Samia

Last Name

Emara

MiddleName

-

Affiliation

Electrical Engineering Department., Faculty of Engineering., El-Mansoura University., Mansoura., Egypt.

Email

-

City

Mansoura

Orcid

-

First Name

Mohammed

Last Name

Eldean

MiddleName

-

Affiliation

Assistant Professor., Electrical Engineering Department., Faculty of Engineering., El-Mansoura University., Mansoura., Egypt.

Email

-

City

Mansoura

Orcid

-

First Name

Esmail

Last Name

Naguib

MiddleName

-

Affiliation

Professor of Electrical Engineering Department., Faculty of Engineering., El-Mansoura University., Mansoura.,Egypt.

Email

-

City

Mansoura

Orcid

-

First Name

Galal

Last Name

Edeen

MiddleName

-

Affiliation

Professor of Electrical Engineering Department., Faculty of Engineering.,El-Mansoura University., Mansoura., Egypt.

Email

-

City

Mansoura

Orcid

-

Volume

37

Article Issue

2

Related Issue

17850

Issue Date

2012-06-01

Receive Date

2012-04-11

Publish Date

2020-10-22

Page Start

13

Page End

41

Print ISSN

1110-0923

Online ISSN

2735-4202

Article File

BFEMU_Volume 37_Issue 2_Pages 13-41.pdf

PDF . 5.9MB

Link

https://bfemu.journals.ekb.eg/article_120049.html

Detail API

https://bfemu.journals.ekb.eg/service?article_code=120049

Order

6

Type

Research Studies

Type Code

1,205

Publication Type

Journal

Publication Title

MEJ. Mansoura Engineering Journal

Publication Link

https://bfemu.journals.ekb.eg/

MainTitle

-

Details

Type

Article

Created At

22 Jan 2023