scholarly journals Role of Ontologies for CPS Implementation in Manufacturing

2015 ◽  
Vol 6 (4) ◽  
pp. 26-32 ◽  
Author(s):  
Marco Garetti ◽  
Luca Fumagalli ◽  
Elisa Negri
Keyword(s):  
Domain Knowledge ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Cyber Physical Systems ◽  
Physical Systems ◽  
Network Connection ◽  
Manufacturing Applications ◽  
And Storage ◽  
Embedded Intelligence

Abstract Cyber Physical Systems are an evolution of embedded systems featuring a tight combination of collaborating computational elements that control physical entities. CPSs promise a great potential of innovation in many areas including manufacturing and production. This is because we obtain a very powerful, flexible, modular infrastructure allowing easy (re) configurability and fast ramp-up of manufacturing applications by building a manufacturing system with modular mechatronic components (for machining, transportation and storage) and embedded intelligence, by integrating them into a system, through a network connection. However, when building such kind of architectures, the way to supply the needed domain knowledge to real manufacturing applications arises as a problem to solve. In fact, a CPS based architecture for manufacturing is made of smart but independent manufacturing components without any knowledge of the role they have to play together in the real world of manufacturing applications. Ontologies can supply such kind of knowledge, playing a very important role in CPS for manufacturing. The paper deals with this intriguing theme, also presenting an implementation of this approach in a research project for the open automation of manufacturing systems, in which the power of CPS is complemented by the support of an ontology of the manufacturing domain.

Cyber-Physical Manufacturing Systems

2019 ◽  
Vol 2 (1) ◽  
pp. 427-443 ◽  
Author(s):  
Dawn M. Tilbury
Keyword(s):  
Manufacturing Systems ◽  
Computer Numerical Control ◽  
Cyber Physical Systems ◽  
Numerical Control ◽  
Programmable Logic ◽  
Programmable Logic Controllers ◽  
Physical Systems ◽  
Multiple Levels ◽  
Networking Technologies ◽  
Logic Controllers

Cyber-physical systems, in which computation and networking technologies interact with physical systems, have made great strides into manufacturing systems. From the early days, when electromechanical relays were used to automate conveyors and machines, through the introduction of programmable logic controllers and computer numerical control, computing and networking have become pervasive in manufacturing systems. By increasing the amount of automation at multiple levels within a factory and across the enterprise, cyber-physical manufacturing systems enable higher productivity and higher quality as well as lower costs.

scholarly journals Event-Driven Online Machine State Decision for Energy-Efficient Manufacturing System Based on Digital Twin Using Max-Plus Algebra

2019 ◽  
Vol 11 (18) ◽  
pp. 5036 ◽  
Author(s):  
Junfeng Wang ◽  
Yaqin Huang ◽  
Qing Chang ◽  
Shiqi Li
Keyword(s):  
Energy Saving ◽  
Energy Efficient ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Production Data ◽  
Physical Systems ◽  
Digital Twin ◽  
Saving Decisions ◽  
Efficient Manufacturing ◽  
Energy Efficient Manufacturing

Energy-efficient manufacturing is an important aspect of sustainable development in current society. The rapid development of sensing technologies can collect real-time production data from shop floors, which provides more opportunities for making energy saving decisions about manufacturing systems. In this paper, a digital twin-based bidirectional operation framework is proposed to realize energy-efficient manufacturing systems. The data view, model view, and service view of a digital twin manufacturing system are formulated to describe the physical systems in virtual space, to perform simulation analysis, to make decisions, and to control the physical systems for various energy-saving purposes. For online energy-saving decisions about machines in serial manufacturing systems, an event-driven estimation method of an energy-saving window based on Max-plus Algebra is presented to put the target machine to sleep, considering real-time production data of a system segment. A practical, simplified automotive production line is used to illustrate the effectiveness of the proposed method by simulation experiments. Our method has no restriction on machine failure mode and predefined parameters for energy-saving decision of machines. The proposed approach has potential use in synchronous and asynchronous manufacturing systems.

The Role of Communications in Cyber-Physical Vehicle Applications

2010 ◽  
pp. 139-161 ◽  
Author(s):  
Nicholas F. Maxemchuk ◽  
Patcharinee Tientrakool ◽  
Theodore L. Willke
Keyword(s):  
Fuel Efficiency ◽  
Cyber Physical Systems ◽  
Transportation Infrastructure ◽  
Physical Systems ◽  
Traffic Lights ◽  
Improve Fuel Efficiency ◽  
Efficiency Increase ◽  
Control Traffic ◽  
Transportation Applications

Cyber-physical systems use sensing, communications, and computing to control the operation of physical devices. Sensing and computing devices have been embedded in automobiles and in the transportation infrastructure. Communications adds a new dimension to the capabilities of these systems. The embedded computers and sensors in both vehicles and the infrastructure will be networked into cyber-physical systems that reduce accidents, improve fuel efficiency, increase the capacity of the transportation infrastructure, and reduce commute times. The authors describe applications that improve the operation of automobiles, control traffic lights, and distribute the load on roadways. The requirements on the communications protocols that implement the applications are determined and a new communications paradigm, neighborcast, is described. Neighborcast communicates between nearby entities, and is particularly well suited to transportation applications.

Ontology-Driven Design and Development of Situation Assessment Software in Cyber-Physical Systems

2020 ◽  
pp. 51-76
Author(s):  
Sergey Vyacheslavovich Lebedev ◽  
Michail Panteleyev
Keyword(s):  
Software Design ◽  
Domain Knowledge ◽  
Cyber Physical Systems ◽  
Fusion Model ◽  
Software Synthesis ◽  
Design And Development ◽  
Situation Assessment ◽  
Physical Systems ◽  
Level Of Automation ◽  
Programming Techniques

Evolution of cyber-physical systems (CPS) and extension of their application areas complicate, among other things, their software design and development. This requires improvements in programming techniques used to build CPS. One of the important tasks arising in complex CPS is a situation assessment (SA) based on data received from diverse sources. In the chapter, an ontology-driven approach for CPS SA software design and development automation is proposed. The approach is based on the JDL data fusion model and flexible enough to be applied for any class of CPS applications. In contrast to known approaches, ontologies are used not only for domain knowledge representation but also for SA calculation process formalization. It provides a higher level of automation of SA software synthesis and, in the end, increases design and development efficiency.

Multi-scale approach from mechatronic to Cyber-Physical Systems for the design of manufacturing systems

2017 ◽  
Vol 86 ◽  
pp. 52-69 ◽  
Author(s):  
Olivia Penas ◽  
Régis Plateaux ◽  
Stanislao Patalano ◽  
Moncef Hammadi
Keyword(s):  
Manufacturing Systems ◽  
Cyber Physical Systems ◽  
Physical Systems ◽  
Multi Scale

scholarly journals Developing of Industry 4.0 Applications

2017 ◽  
Vol 13 (10) ◽  
pp. 30 ◽  
Author(s):  
Juan David Contreras ◽  
Jose Isidro Garcia ◽  
Juan David Diaz
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Industrial Revolution ◽  
Intelligent Manufacturing ◽  
Reference Architecture ◽  
Physical Systems ◽  
Architecture Model ◽  
Smart Factories ◽  
Correct Implementation

<p class="0papertitle">The fourth industrial revolution or industry 4.0 has become a trend topic nowadays, this standard-based strategy integrates Smart Factories, Cyber-physical systems, Internet of Things, and Internet of Service with the aim of extended the capacities of the manufacturing systems. Although several authors have presented the advantages of this approach, few papers refer to an architecture that allows the correct implementation of industry 4.0 applications using the guidelines of the reference architecture model (RAMI 4.0). In this way, this article exposes the essential characteristics that allow a manufacturing system to be retrofitting as a correct industry 4.0 application. Specifically, an intelligent manufacturing system under a holonic approach was developed and implemented using standards like FDI, AutomationML and OPC UA according to the RAMI 4.0</p>

Study on Workpiece Machining Precision PID Control Model in Closed-Loop Manufacturing Systems

2009 ◽  
Vol 419-420 ◽  
pp. 469-472 ◽  
Author(s):  
Jun Lu ◽  
Yu Mei Huang ◽  
Wen Wen Li ◽  
Yang Liu ◽  
Hua Zhong
Keyword(s):  
Pid Control ◽  
Error Compensation ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Closed Loop ◽  
Theoretical Foundation ◽  
Control Model ◽  
Machining Precision ◽  
Processing Error

In this paper, a new concept named “Closed-loop Manufacturing System” (CLMS) is proposed. The Workpiece Machining Precision PID Control Model (WMPPCM) is outlined firstly, in which PID model expressions are structured and the role of proportion, integration, differential adjustment are analyzed. Then, the experimental method of WMPPCM is established to verify the feasibility and validity of this model. In the experiment, WMPPCM could be utilized to estimate the trend of processing error so as to conduct the adjustment before production. It is also proved that WMPPCM in CLMS has a significant effect on error compensation, which builds up the theoretical foundation for paper research on CLMS in terms of WMPPCM.

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