Developing a conceptual framework for the application of digital twin technologies to revamp building operation and maintenance processes

The world is witnessing an all-level digitalization that guides the industry and business to a restructuration in order to adapt to the new requirements of the surrounding environment. That change also concerns the labour of the technical professionals and their formation. As a consequence of this deep consciousness-raising, this chapter will investigate and develop simulation models based on the current digitalization. The aim of this chapter is the exposition of a real case development of “digital twin” models framed as part of the condition-based maintenance paradigm to improve real-time assets operation and maintenance. This model contributes by providing real-time results that could turn into a basis for the industrial management decisions and place them in the Industry 4.0 paradigm environment.

Download Full-text

Research on the Digital Twin Based Computer Room Intelligent Operation and Maintenance Monitoring Methods

2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA) ◽

10.1109/icaica50127.2020.9182500 ◽

2020 ◽

Author(s):

Zhang Hong ◽

Zhang Qianqian ◽

Li Yan

Keyword(s):

Monitoring Methods ◽

Digital Twin ◽

Operation And Maintenance

Download Full-text

Outsourcing decision factors of building operation and maintenance services in the commercial sector

Property Management ◽

10.1108/pm-06-2016-0028 ◽

2017 ◽

Vol 35 (3) ◽

pp. 254-274 ◽

Cited By ~ 3

Author(s):

Kittipong Suweero ◽

Wutthipong Moungnoi ◽

Chotchai Charoenngam

Keyword(s):

Design Methodology ◽

Commercial Sector ◽

Content Type ◽

Decision Factors ◽

Operation And Maintenance ◽

Importance Index ◽

Participant Group ◽

Building Operation ◽

Outsourcing Decision ◽

One Way Anova

Purpose Building operation and maintenance (BOM) services are important activities for highly competitive businesses. In addition, outsourcing decision factors are key to the effectiveness of BOM. Hence, the purpose of this paper is to identify and prioritize the decision factors that affect outsourcing decision factors for BOM services, to elicit the different perceptions of each managerial group (shopping centers, hotels, and hospitals), and to categorize the important outsourced BOM decision factors. Design/methodology/approach On the basis of the literature review, the authors observed that there are 56 outsourcing decision factors in six groups. The survey included 105 of the largest and most competitive companies in Bangkok, Thailand. The statistical methods applied were the relative importance index (RII), t-test, one-way analysis of variance (ANOVA), and factor analysis (FA). Findings The findings show that the three participant groups are different in some respects, as shown by their RII values. After ranking the RII values, the top 15 factors for each participant group were used to compare the participant groups using the t-test and one-way ANOVA, which confirmed their respective similarities and differences. Through an FA, the top reasons that each business outsourced BOM services were grouped into major categories. Originality/value The results of this research will not only facilitate an understanding of the related decision factors used by each particular business in the commercial sector but will also assist outsourcing companies in identifying and improving support services for businesses.

Download Full-text

Complex product manufacturing and operation and maintenance integration based on digital twin

The International Journal of Advanced Manufacturing Technology ◽

10.1007/s00170-021-07350-6 ◽

2021 ◽

Author(s):

Yunrui Wang ◽

Wenzhe Ren ◽

Yan Li ◽

Chuanwei Zhang

Keyword(s):

Complex Product ◽

Digital Twin ◽

Operation And Maintenance ◽

Product Manufacturing

Download Full-text

Intelligent Prediction Method for Operation and Maintenance Safety of Prestressed Steel Structure Based on Digital Twin Technology

Advances in Civil Engineering ◽

10.1155/2021/6640198 ◽

2021 ◽

Vol 2021 ◽

pp. 1-17

Author(s):

Zhansheng Liu ◽

Antong Jiang ◽

Anshan Zhang ◽

Zezhong Xing ◽

Xiuli Du

Keyword(s):

Steel Structure ◽

Virtual Space ◽

Safety Risk ◽

Digital Twin ◽

Whole Process ◽

Twin Model ◽

Operation And Maintenance ◽

Maintenance Stage ◽

Prestressed Steel Structure ◽

Whole Life Cycle

The operation and maintenance stage of the long-span prestressed steel structure is the core link of the whole life cycle. At present, there are few studies on the change law of safety risk in the whole process of operation and maintenance, especially the research on the analysis and prediction of the change law of safety risk in the whole process of structural operation and maintenance by effectively using the abundant monitoring data and relevant safety risk information in the operation and maintenance stage, which also affects the prestressed steel, which also affects the efficiency of judgment and control decision-making of operation and maintenance safety state of prestressed steel structure. Taking the spoke-type cable truss as an example, this paper proposes a new concept of integrating the digital twin model (DTM) with steel structure operation and maintenance safety. Through the combination of real physical space dimensions and digital virtual space dimensions, it is based on a hypothetical analysis model. In the above, a theoretical framework is proposed, and a case analysis of a prestressed steel structure is carried out from big data, and the feasibility of applying this method in the prestress loss and uneven rain and snow load conditions is evaluated. This method can provide guidance for operation and maintenance management and formulate strategies in time.

Download Full-text

Digital Twin-Based Ecogreen Building Design

Complexity ◽

10.1155/2021/1391184 ◽

2021 ◽

Vol 2021 ◽

pp. 1-10

Author(s):

Yang Liu ◽

Yuhui Sun ◽

Ang Yang ◽

Jing Gao

Keyword(s):

Cost Management ◽

Green Building ◽

Building Design ◽

Digital Architecture ◽

Digital Twin ◽

Management Capability ◽

Set Up ◽

Building Operation ◽

Technology Upgrade ◽

Operation Cost

The high operation cost of green building, insufficient informationization and automation management capability, and the lack of effective operation cost control seriously restrict the development of the industry and the realization of green goals. In order to solve the problem of insufficient capability of green building operation cost management, based on the digital twin technology in the manufacturing field, we analyze the characteristic requirements and theoretical basis of green building operation cost management for system, propose a green building operation cost management system based on digital twin, and refine the design of each structural layer of this system. It is necessary to set up a series of lines, although it takes a certain amount of time. There are four types of applications, namely, the number of types of applications, the completion of the effective number, the comparison of functions, and the implementation capabilities. The study shows that the proposed system framework can improve the efficiency and quality of green building operation cost management through technology upgrade and process optimization. The implementation of digital twin and human-machine collaboration is an advanced stage in the development of digital architecture because virtual things and real things, materials, and numbers are mutually promoting processes. The inspiration of this technological view for architecture is that digital twin and human-machine collaboration not only allow the interaction between virtual and reality and emphasize the feedback of actual construction to virtual simulation but also promote a kind of mutual promotion of human and machine thinking and construction ability.

Download Full-text