2018
DOI: 10.1016/j.aei.2018.06.007
|View full text |Cite
|
Sign up to set email alerts
|

Machine learning and BIM visualization for maintenance issue classification and enhanced data collection

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

1
41
0

Year Published

2019
2019
2023
2023

Publication Types

Select...
5
4
1

Relationship

0
10

Authors

Journals

citations
Cited by 82 publications
(51 citation statements)
references
References 27 publications
1
41
0
Order By: Relevance
“…Other attempts focused on developing automated approaches to define possible causes and retrieve related information to facilitate the process of HVAC troubleshooting [75,76]. Other automated approaches focused on providing FM teams with visualizations of the work order categories to enhance the work order execution process [77], and to schedule FM work orders [78] to help prioritize assignment of maintenance activities.…”
Section: Category: Maintenance Managementmentioning
confidence: 99%
“…Other attempts focused on developing automated approaches to define possible causes and retrieve related information to facilitate the process of HVAC troubleshooting [75,76]. Other automated approaches focused on providing FM teams with visualizations of the work order categories to enhance the work order execution process [77], and to schedule FM work orders [78] to help prioritize assignment of maintenance activities.…”
Section: Category: Maintenance Managementmentioning
confidence: 99%
“…The remaining articles adopted different attitudes like conducting precise steps for integration of the required BIM-FM information for owners’ need, improving indoor navigation, refurbishment goals, using BIM for management of electrical, plumbing, and mechanical systems in a various way such as multi-scale BIM model, using BIM Perspective Definition (BPD) to increase reusability in systems, using mobile automated BIM-FM systems for solving problems related to transferring data and Improving task efficiency in FM process [ 120 , 121 , 122 , 123 , 124 , 125 , 126 , 127 , 128 , 129 ]. Moreover, interoperability challenges in the FM process solved by researchers by connecting BIM elements and FM information [ 130 , 131 ].…”
Section: Content Analysismentioning
confidence: 99%
“…Chan and Tsai developed a question-answering dialogue system for emergency operations through named entity recognition (NER) and question classification (QC) [47]. McArthur et al used supervised machine learning models to perform the classification for work orders generated from occupant complaints [48]. Although chatbots have been widely used in different fields, implementing it into facility management applications has rarely been discussed.…”
Section: Conversation-based Information Delivery System In Variuos Fieldsmentioning
confidence: 99%