scholarly journals Dynamic Data Acquisition and Preprocessing for Automatic Behavioral Modeling of Cyber-physical Systems

Procedia CIRP ◽  
2021 ◽  
Vol 104 ◽  
pp. 363-369
Author(s):  
Brandon K. Sai ◽  
Yannick T. Mayer ◽  
Thomas Bauernhansl
Keyword(s):  
Data Acquisition ◽  
Cyber Physical Systems ◽  
Behavioral Modeling ◽  
Dynamic Data ◽  
Physical Systems ◽  
Dynamic Data Acquisition

scholarly journals The Importance of Implementing Cyber Physical Systems to Acquire Real-Time Data and Indicators

J ◽  
2021 ◽  
Vol 4 (2) ◽  
pp. 147-153
Author(s):  
Paula Morella ◽  
María Pilar Lambán ◽  
Jesús Antonio Royo ◽  
Juan Carlos Sánchez
Keyword(s):  
Decision Making ◽  
Data Acquisition ◽  
Real Time ◽  
Failure Detection ◽  
Cyber Physical Systems ◽  
Future Research ◽  
Time Data ◽  
Physical Systems ◽  
The Real ◽  
Real Time Data

Among the new trends in technology that have emerged through the Industry 4.0, Cyber Physical Systems (CPS) and Internet of Things (IoT) are crucial for the real-time data acquisition. This data acquisition, together with its transformation in valuable information, are indispensable for the development of real-time indicators. Moreover, real-time indicators provide companies with a competitive advantage over the competition since they enhance the calculus and speed up the decision-making and failure detection. Our research highlights the advantages of real-time data acquisition for supply chains, developing indicators that would be impossible to achieve with traditional systems, improving the accuracy of the existing ones and enhancing the real-time decision-making. Moreover, it brings out the importance of integrating technologies 4.0 in industry, in this case, CPS and IoT, and establishes the main points for a future research agenda of this topic.

A resource-oriented middleware in a prototype cyber-physical manufacturing system

2017 ◽  
Vol 232 (13) ◽  
pp. 2339-2352 ◽  
Author(s):  
Chao Liu ◽  
Pingyu Jiang ◽  
Chaoyang Zhang
Keyword(s):  
Data Acquisition ◽  
Cyber Physical Systems ◽  
Application Development ◽  
Heterogeneous Sensors ◽  
Physical Systems ◽  
Enabling Technologies ◽  
Application Programming ◽  
Low Efficiency ◽  
Key Enabling Technologies ◽  
Access Right

The interconnection among heterogeneous sensors and data acquisition equipment in cyber-physical systems have profound significance in achieving adaptability, flexibility, and transparency. Various middlewares have been developed in cyber-physical systems to collect, aggregate, correlate, and translate system monitoring data. Existing middleware solutions are normally highly customized, which face several challenges due to the highly dynamic and harsh production environments. The data generated by sensors can only be shared by specific applications, which prevents the reusability of sensors. Moreover, the lack of uniform access to sensors causes high cost and low efficiency in application development. To address these issues, a resource-oriented middleware architecture called ROMiddleware was proposed, and three key enabling technologies including heterogeneous sensor modeling and grouping, open application programming interfaces development, and token-based access right control mechanism have been developed. Under the guidance of the key enabling technologies, a prototype of ROMiddleware was implemented and its performance was evaluated. Finally, two applications were developed to stress the significance of ROMiddleware. The results show that ROMiddleware can meet the requirements of data acquisition in cyber-physical systems.

iDDAF: An Intelligent Deceptive Data Acquisition Framework for Secure Cyber-Physical Systems

2021 ◽  
pp. 338-359
Author(s):  
Md Hasan Shahriar ◽  
Mohammad Ashiqur Rahman ◽  
Nur Imtiazul Haque ◽  
Badrul Chowdhury ◽  
Steven G. Whisenant
Keyword(s):  
Data Acquisition ◽  
Cyber Physical Systems ◽  
Physical Systems

Guidelines for Dynamic Data Acquisition and Analysis

1992 ◽  
Vol 35 (5) ◽  
pp. 21-26
Author(s):  
Allan Piersol
Keyword(s):  
Data Acquisition ◽  
Dynamic Data ◽  
Final Draft ◽  
Structural Responses ◽  
Dynamic Data Acquisition

The structural responses produced by the operation of pyrotechnic devices (commonly called pyroshocks) constitute one of the most difficult types of dynamic data to accurately measure and analyze. For this reason, a separate appendix devoted solely to pyrochock data acquisition and analysis problems has been included in a proposed military handbook on Guidelines for Dynamic Data Acquisition and Analysis. This paper summarizes the recommendations concerning pyroshock data given in the final draft of that proposed military handbook.

Proposed “Military Handbook” for dynamic data acquisition and analysis: An invitation to review

1990 ◽  
Vol 87 (S1) ◽  
pp. S135-S135
Author(s):  
Harry Himelblau ◽  
James H. Wise ◽  
Allan G. Piersol ◽  
Max R. Grundvig
Keyword(s):  
Data Acquisition ◽  
Dynamic Data ◽  
Dynamic Data Acquisition
Sign in / Sign up

Export Citation Format

Share Document