AI-Enabled Cognitive Predictive Maintenance of Urban Assets Using City Information Modeling—Systematic Review

Buildings, Journal Year: 2025, Volume and Issue: 15(5), P. 690 - 690

Published: Feb. 22, 2025

Predictive maintenance of built assets often relies on scheduled routine practices that are disconnected from real-time stress assessment, degradation and defects. However, while Digital Twin (DT) technology within building urban studies is maturing rapidly, its use in predictive limited. Traditional preventive reactive strategies more prevalent facility management not intuitive, resource efficient, cannot prevent failure either underserve the asset or surplus to requirements. City Information Modeling (CIM) refers a federation BIM models accordance with real-world geospatial references, it can be deployed as an Urban (UDT) at city level, like BIM’s deployment level. This study presents systematic review 105 Scopus-indexed papers establish current trends, gaps opportunities for cognitive framework architecture, engineering, construction operations (AECO) industry. A UDT consisting CIM section University Florida campus proposed bridge knowledge gap highlighted review. The illustrates potential CNN-IoT integration improve through advance notifications. It also eliminates centralized information archiving.

Language: Английский

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Digital Twin Approach for Operation and Maintenance of Transportation System – Systematic Review

Published: Aug. 5, 2024

There is a growing need to implement modern technologies, such as digital twinning, improve the efficiency of transport fleet maintenance processes and maintain company's operational capacity at required level. Therefore, paper reviews existing literature present an up-to-date content-relevant analysis in this field. The proposed methodology systematic review using Primo multi-search tool following Preferred Reporting Items for Systematic Reviews Meta-Analyzes (PRISMA) guidelines. main inclusion criteria included publication dates (studies published from 2012–2024) studies English. This resulted selection 201 most relevant papers area investigation. Finally, selected articles were categorized into seven groups: a) air transportation, b) railway c) land transportation (road), d) in-house logistics, e) water intermodal f) supply chain operation, g) other applications. One advantages study that results are obtained different scientific sources/databases thanks tool. Moreover, bibliometric was performed. have led authors specify research problems trends related analyzed identify gaps future investigation academic engineering perspectives. In addition, based on results, framework DT system developed. ends with conclusions directions.

Language: Английский

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Digital Twin Approach for Operation and Maintenance of Transportation System—Systematic Review

Sensors, Journal Year: 2024, Volume and Issue: 24(18), P. 6069 - 6069

Published: Sept. 19, 2024

There is a growing need to implement modern technologies, such as digital twinning, improve the efficiency of transport fleet maintenance processes and maintain company operational capacity at required level. A comprehensive review existing literature conducted address this, offering an up-to-date analysis relevant content in this field. The methodology employed systematic using Primo multi-search tool, adhering Preferred Reporting Items for Systematic Reviews Meta-Analyses (PRISMA) guidelines. selection criteria focused on English studies published between 2012 2024, resulting 201 highly papers. These papers were categorized into seven groups: (a) air transportation, (b) railway (c) land transportation (road), (d) in-house logistics, (e) water intermodal (f) supply chain operation, (g) other applications. notable strength study its use diverse scientific databases facilitated by tool. Additionally, bibliometric was performed, revealing evolution DT applications over past decade identifying key areas predictive maintenance, condition monitoring, decision-making processes. This highlights varied levels adoption across different sectors underscores promising future development, particularly underrepresented domains like chains transport. paper identifies significant research gaps, including integration challenges, real-time data processing, standardization needs. Future directions are proposed, focusing enhancing diagnostics, automating processes, optimizing inventory management. also outlines framework systems, detailing components functionalities essential effective findings provide roadmap innovations improvements within industry. ends with conclusions directions.

Language: Английский

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The Relationship Between Artificial Intelligence (AI) and Building Information Modeling (BIM) Technologies for Sustainable Building in the Context of Smart Cities

Sustainability, Journal Year: 2024, Volume and Issue: 16(24), P. 10848 - 10848

Published: Dec. 11, 2024

The development of information technologies has been exponentially applied to the architecture, engineering, and construction (AEC) industries. extent literature reveals that two most pertinent are building modeling (BIM) artificial intelligence (AI) technologies. radical digitization AEC industry, enabled by BIM AI, contributed emergence “smart cities”, which uses technology improve urban operational sustainable efficiency. Few studies have investigated roles AI in from perspective buildings assisting designers make decisions at city levels. Therefore, purpose this paper is explore research status future trends relationship between BIM-aided context smart provide researchers, designers, developers with potential directions. This adopted a macro micro bibliographic method, used map out general landscape. followed more in-depth analysis fields design, construction, development, life cycle assessment (LCA). results show combination helps optimal on materials, cost, energy, scheduling, monitoring promotes both technical human aspects so achieve Sustainable Development Goals 7 (ensuring access affordable, reliable, modern energy for all), 9 (building resilient infrastructure, promote inclusive industries, foster innovation), 11 inclusive, safe, risk-resilient, cities settlements), 12 consumption production patterns). In addition, BIM, LCA offers great performance, integration should not only consider sustainability but also human-centered design concept health, safety, comfort stakeholders as one goals realize multidimensional based model.

Language: Английский

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Integrating Experimental Analysis and Gradient Boosting for the Durability Assessment of Lime-Based Mortar in Acidic Environment

Buildings, Journal Year: 2025, Volume and Issue: 15(3), P. 408 - 408

Published: Jan. 28, 2025

This paper presents a comprehensive study of the mechanical properties lime-based mortar in an acidic environment, employing both experimental analysis and machine learning to model techniques. Despite extensive use construction, particularly for strengthening structures as externally bonded materials, its behavior under conditions remains poorly understood literature. aims address this gap by investigating performance prolonged exposure environments, laying groundwork further research critical area. In phase, commercial hydraulic was subjected varying environmental conditions, including solution immersion with pH 3.0, distilled water immersion, dry storage. Subsequently, specimens were tested flexure following durations 1000, 3000, 5000 h. modeling extreme gradient boosting (XGBoost) algorithm deployed predict h exposure. Using data, models trained capture complex relationships between stress-displacement curve (as output) various properties, density, corrosion, moisture, duration input features). The predictive demonstrated remarkable accuracy generalization (using 4-fold cross-validation approach) capabilities (R2 = 0.984 RMSE 0.116, testing dataset), offering reliable tool estimating mortar’s over extended periods environment. comparative that samples exposed environment reached peak values at 3000 exposure, followed decrease contrast, exhibited earlier onset strength increase, indicating different material responses conditions.

Language: Английский

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The Management of Railway Operations during the Planned Interruption of Railway Infrastructure

Infrastructures, Journal Year: 2024, Volume and Issue: 9(7), P. 119 - 119

Published: July 22, 2024

A planned interruption of railway infrastructure is a situation where the operation track line or transport limited. If there also restriction on infrastructure, it means will be complications not only for passengers but, above all, undertakings operating freight transport. However, because interruption, quality services provided to but decreasing. The aim this paper propose effective maintenance works based analysis and evaluation processes performed during restriction. research describes process affected from technical, cost, safety points view. methodological procedure proposed under condition Czech manager. main method calculation costs manager operator interruption. application part undertaken using two interrupted lines according established alternative timetable in area České Budějovice.

Language: Английский

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Customized Approaches for Introducing Road Maintenance Management in I-BIM Environments

Sustainability, Journal Year: 2024, Volume and Issue: 16(15), P. 6530 - 6530

Published: July 30, 2024

Road maintenance management aims to satisfy quality, comfort, and safety requirements for the various assets. To overcome delays barriers in widespread adoption of road systems, Building Information Modeling (BIM) approach may offer significant advantages as a convenient alternative management. Although existing BIM platforms are not fully equipped this purpose, defining original modules scripts can extend their capabilities, allowing handling condition information In context, paper presents an operative framework designed leverage benefits management, particularly terms virtual inspection, asset assessment, design. achieve this, specific customized smart objects routines were coded I-BIM platforms, tailored different scales, aims, detail levels. These incorporate user-defined extended attributes related pavement planning (such roughness, rutting, structural capacity). particular, authors have developed serving “containers” survey information. adapted display quality levels segments realistic user-friendly environment. Additionally, automatically import data from external datasets associate with appropriate objects. This approach, available commercial effectively support operators.

Language: Английский

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