scholarly journals Computer Vision-Based Construction Process Sensing for Cyber–Physical Systems: A Review

Sensors ◽  
2021 ◽  
Vol 21 (16) ◽  
pp. 5468
Author(s):  
Binghan Zhang ◽  
Bin Yang ◽  
Congjun Wang ◽  
Zhichen Wang ◽  
Boda Liu ◽  
...  
Keyword(s):  
Computer Vision ◽  
Literature Review ◽  
Information Acquisition ◽  
Current Knowledge ◽  
Cyber Physical Systems ◽  
Construction Site ◽  
Construction Process ◽  
Current Application ◽  
Physical Systems ◽  
Aec Industry

Cyber–physical systems (CPSs) are generally considered to be the next generation of engineered systems. However, the actual application of CPSs in the Architecture, Engineering and Construction (AEC) industry is still at a low level. The sensing method in the construction process plays a very important role in the establishment of CPSs. Therefore, the purpose of this paper is to discuss the application potential of computer vision-based sensing methods and provide practical suggestions through a literature review. This paper provides a review of the current application of CPSs in the AEC industry, summarizes the current knowledge gaps, and discusses the problems with the current construction site sensing approach. Considering the unique advantages of the computer vision (CV) method at the construction site, the application of CV for different construction entities was reviewed and summarized to achieve a CV-based construction site sensing approach for construction process CPSs. The potential of CPS can be further stimulated by providing rich information from on-site sensing using CV methods. According to the review, this approach has unique advantages in the specific environment of the construction site. Based on the current knowledge gap identified in the literature review, this paper proposes a novel concept of visual-based construction site sensing method for CPS application, and an architecture for CV-based CPS is proposed as an implementation of this concept. The main contribution of this paper is to propose a CPS architecture using computer vision as the main information acquisition method based on the literature review. This architecture innovatively introduces computer vision as a sensing method of construction sites, and realizes low-cost and non-invasive information acquisition in complex construction scenarios. This method can be used as an important supplement to on-site sensing to further promote the automation and intelligence of the construction process.

Cyber-physical systems architectures for industrial internet of things applications in Industry 4.0: A literature review

2021 ◽  
Vol 58 ◽  
pp. 176-192
Author(s):  
Diego G.S. Pivoto ◽  
Luiz F.F. de Almeida ◽  
Rodrigo da Rosa Righi ◽  
Joel J.P.C. Rodrigues ◽  
Alexandre Baratella Lugli ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Literature Review ◽  
Industry 4.0 ◽  
Cyber Physical Systems ◽  
Industrial Internet Of Things ◽  
Physical Systems ◽  
Industrial Internet ◽  
Systems Architectures

scholarly journals An Efficient Encryption Algorithm for the Security of Sensitive Private Information in Cyber-Physical Systems

Electronics ◽  
2019 ◽  
Vol 8 (11) ◽  
pp. 1220 ◽  
Author(s):  
Xiaogang Zhu ◽  
Gautam Srivastava ◽  
Reza M. Parizi
Keyword(s):  
Private Information ◽  
Information Acquisition ◽  
Personal Information ◽  
Smart Cities ◽  
Recognition Rate ◽  
Cyber Physical Systems ◽  
Information Resources ◽  
Encryption Algorithm ◽  
Utilization Rate ◽  
Physical Systems

The new developments in smart cyber-physical systems can be shown to include smart cities, Internet of things (IoT), and for the most part smart anything. To improve the security of sensitive personal information (SPI) in cyber-physical systems, we present some novel ideas related to the encryption of SPI. Currently, there are issues in traditional encryption methods, such as low speed of information acquisition, low recognition rate, low utilization rate of effective information resources, and high delay of information query. To address these issues, we propose a novel efficient encryption algorithm for the security of incremental SPI. First, our proposed method analyzes user information resources and determines valid data to be encrypted. Next, it uses adaptive acquisition methods to collect information, and uses our encryption method to complete secure encryption of SPI according to the acquisition results. Our experimental analysis clearly shows that the algorithm effectively improves the speed of information acquisition as well as effective information recognition rate, thus enhancing the security of SPI. The encryption model in turn can provide a strong guarantee for user information security.

Theoretical Foundations for Cyber-Physical Systems: A Literature Review

2017 ◽  
Vol 02 (03) ◽  
pp. 1750013 ◽  
Author(s):  
Hong Chen
Keyword(s):  
Literature Review ◽  
Large Scale ◽  
Cyber Physical Systems ◽  
Research Trends ◽  
Cyber Physical System ◽  
Extensive Review ◽  
Comprehensive Overview ◽  
Physical Systems ◽  
Scopus Database ◽  
Theoretical Foundations

Cyber-Physical System (CPS) is a kind of large-scale and networked system that has drawn much attention in academia recently. Existing studies provide the extent for CPS research, but a systematic and extensive review of recent research on CPS is missing. Accordingly, this paper reviews 83 papers regarding theoretical foundations for CPS from 2012 to 2017 in the Scopus database aiming to provide scholars and practitioners with a comprehensive overview. The selected papers are grouped into 10 research categories. The contents of the papers in each research category are summarized. The challenges and research trends are illustrated as well.

scholarly journals Artificial intelligence in cyber physical systems

2020 ◽  
Author(s):  
Petar Radanliev ◽  
David De Roure ◽  
Max Van Kleek ◽  
Omar Santos ◽  
Uchenna Ani
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Literature Review ◽  
Conceptual Framework ◽  
Cyber Physical Systems ◽  
Industrial Internet Of Things ◽  
Physical Systems ◽  
Industrial Internet ◽  
Selection Decisions ◽  
Future Challenges

Abstract This article conducts a literature review of current and future challenges in the use of artificial intelligence (AI) in cyber physical systems. The literature review is focused on identifying a conceptual framework for increasing resilience with AI through automation supporting both, a technical and human level. The methodology applied resembled a literature review and taxonomic analysis of complex internet of things (IoT) interconnected and coupled cyber physical systems. There is an increased attention on propositions on models, infrastructures and frameworks of IoT in both academic and technical papers. These reports and publications frequently represent a juxtaposition of other related systems and technologies (e.g. Industrial Internet of Things, Cyber Physical Systems, Industry 4.0 etc). We review academic and industry papers published between 2010 and 2020. The results determine a new hierarchical cascading conceptual framework for analysing the evolution of AI decision-making in cyber physical systems. We argue that such evolution is inevitable and autonomous because of the increased integration of connected devices (IoT) in cyber physical systems. To support this argument, taxonomic methodology is adapted and applied for transparency and justifications of concepts selection decisions through building summary maps that are applied for designing the hierarchical cascading conceptual framework.

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