AUTOMATED PROGRESS MONITORING IN PIPELINE CONSTRUCTION: A SYSTEMATIC REVIEW.
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| Title: | AUTOMATED PROGRESS MONITORING IN PIPELINE CONSTRUCTION: A SYSTEMATIC REVIEW. |
|---|---|
| Authors: | KHAN, Muhammad Hassaan Farooq1, ALALOUL, Wesam Salah2, MUSARAT, Muhammad Ali3 wesam.alaloul@uaeu.ac.ae, QURESHI, Abdul Hannan4 |
| Source: | Journal of Civil Engineering & Management. 2026, Vol. 32 Issue 4, p489-512. 24p. |
| Subjects: | Data acquisition systems, System integration, Evidence synthesis, Sustainable construction, Water pipelines, Project management |
| Abstract: | Automated progress monitoring for pipeline construction is an evolving research domain among researchers which can provide effective visualisation and control of related projects. Although automation has been widely reviewed in building construction, a focused review on pipeline construction is lacking despite unique challenges and a growing need for automated monitoring. Hence, a systematic review of available methodologies and technologies was necessary to assess the achievement level of automation attained in progress monitoring practice in pipeline construction. Using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement, relevant studies in the area were identified by using five databases: Scopus, Web of Science, ScienceDirect, American Society of Civil Engineers, and Emerald. Keyword analysis was performed by developing a keyword network, and descriptive statistics were provided. The review examines a wide range of technologies and methods for automated progress monitoring, with a focus on data acquisition tools, monitoring techniques, and their integration within unnecessary article pipeline construction scenarios. A technological process overview was developed to outline the complete monitoring workflow, while a conceptual visual representation illustrated the potential impact of tools selection and integration strategies on successful project completion, and its broader impact on sustainability and economy. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Civil Engineering & Management is the property of Vilnius Gediminas Technical University and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 194195589 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: AUTOMATED PROGRESS MONITORING IN PIPELINE CONSTRUCTION: A SYSTEMATIC REVIEW. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22KHAN%2C+Muhammad+Hassaan+Farooq%22">KHAN, Muhammad Hassaan Farooq</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22ALALOUL%2C+Wesam+Salah%22">ALALOUL, Wesam Salah</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22MUSARAT%2C+Muhammad+Ali%22">MUSARAT, Muhammad Ali</searchLink><relatesTo>3</relatesTo><i> wesam.alaloul@uaeu.ac.ae</i><br /><searchLink fieldCode="AR" term="%22QURESHI%2C+Abdul+Hannan%22">QURESHI, Abdul Hannan</searchLink><relatesTo>4</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Civil+Engineering+%26+Management%22">Journal of Civil Engineering & Management</searchLink>. 2026, Vol. 32 Issue 4, p489-512. 24p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Data+acquisition+systems%22">Data acquisition systems</searchLink><br /><searchLink fieldCode="DE" term="%22System+integration%22">System integration</searchLink><br /><searchLink fieldCode="DE" term="%22Evidence+synthesis%22">Evidence synthesis</searchLink><br /><searchLink fieldCode="DE" term="%22Sustainable+construction%22">Sustainable construction</searchLink><br /><searchLink fieldCode="DE" term="%22Water+pipelines%22">Water pipelines</searchLink><br /><searchLink fieldCode="DE" term="%22Project+management%22">Project management</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Automated progress monitoring for pipeline construction is an evolving research domain among researchers which can provide effective visualisation and control of related projects. Although automation has been widely reviewed in building construction, a focused review on pipeline construction is lacking despite unique challenges and a growing need for automated monitoring. Hence, a systematic review of available methodologies and technologies was necessary to assess the achievement level of automation attained in progress monitoring practice in pipeline construction. Using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement, relevant studies in the area were identified by using five databases: Scopus, Web of Science, ScienceDirect, American Society of Civil Engineers, and Emerald. Keyword analysis was performed by developing a keyword network, and descriptive statistics were provided. The review examines a wide range of technologies and methods for automated progress monitoring, with a focus on data acquisition tools, monitoring techniques, and their integration within unnecessary article pipeline construction scenarios. A technological process overview was developed to outline the complete monitoring workflow, while a conceptual visual representation illustrated the potential impact of tools selection and integration strategies on successful project completion, and its broader impact on sustainability and economy. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Civil Engineering & Management is the property of Vilnius Gediminas Technical University and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 24 StartPage: 489 Subjects: – SubjectFull: Data acquisition systems Type: general – SubjectFull: System integration Type: general – SubjectFull: Evidence synthesis Type: general – SubjectFull: Sustainable construction Type: general – SubjectFull: Water pipelines Type: general – SubjectFull: Project management Type: general Titles: – TitleFull: AUTOMATED PROGRESS MONITORING IN PIPELINE CONSTRUCTION: A SYSTEMATIC REVIEW. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: KHAN, Muhammad Hassaan Farooq – PersonEntity: Name: NameFull: ALALOUL, Wesam Salah – PersonEntity: Name: NameFull: MUSARAT, Muhammad Ali – PersonEntity: Name: NameFull: QURESHI, Abdul Hannan IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 13923730 Numbering: – Type: volume Value: 32 – Type: issue Value: 4 Titles: – TitleFull: Journal of Civil Engineering & Management Type: main |
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