A Resource-Centric Architecture for Service-Oriented Cyber Physical System

2013 ◽  
pp. 686-693 ◽  
Author(s):  
Kaiyu Wan ◽  
Vangalur Alagar
Keyword(s):  
Physical System ◽  
Cyber Physical System ◽  
Service Oriented

Modular Service-Oriented Cyber-Physical Systems for the European Tool Making Industry

2015 ◽  
Vol 752-753 ◽  
pp. 1349-1355 ◽  
Author(s):  
Günther Schuh ◽  
Stefan Rudolf ◽  
Martin Pitsch ◽  
Martin Sommer ◽  
Wilhelm Karmann
Keyword(s):  
Value Chain ◽  
Physical System ◽  
Industrial Product ◽  
Cyber Physical System ◽  
High Wage ◽  
Process Data ◽  
Operating Life ◽  
Serial Production ◽  
Product Service ◽  
Service Oriented

Manufacturing companies in high-wage countries are facing rising challenges in a global market. Increasing customer demands for a higher degree of individualization result in smaller lot sizes and higher variety of products. In addition, competitors from low-wage countries in Asia and Eastern Europe have significantly improved their technical capabilities, resulting in a more competitive environment. The tool making industry provides its customers with the means to achieve excellence in production due to its unique position in the value chain between product development and the serial production of parts. A tool making company’s ability to improve the efficiency of serial production and develop innovative product design is strongly dependent on its capability of integrating itself into the preceding and following customer processes. Over the last years, customer demands for global sourcing of tools have changed from low prices to the demands of extended tool operating life and high operational availability. European tool making companies have learned to take this development as a chance to differentiate themselves from global competitors and subsequently increase their range of services up- and downstream the value chain. As a result, new industrial product-service-systems (IPS²) for the European tool making industry need to be developed that address the demand of a higher degree of integration into the preceding and following customer processes. Within the German Government founded research project “Smart Tools”, an industrial product-service-system (IPS²) for the tool making industry has been developed based on a modular service-oriented cyber-physical system. Core element of the cyber-physical system is the smart tool – an injection molding tool equipped with state-of-the-art sensor technology to capture data on the condition of the tool during its operational use. Its intelligence derives from the condition based interpretation and data management of the collected process data which is also the basis for the design of customer specific services. Besides the successful integration of force and position sensors into the tool, experimental research has delivered important results on the application of solid borne sound sensors for online early detection of tool wear. An innovative concept for the distribution and interpretation of the process data incorporates the specific requirements of the customers. To cope with the demands of individual and small series production in the tool making industry, a modular sensor kit has been developed together with a diagnostic unit for data interpretation and storage of data in an electronic tool book. The developed modular service-oriented cyber-physical system delivers the means to extended tool operating life and improves the overall efficiency of serial production. Based on the results new business models can be developed for tool making companies to differentiate themselves from global competitors and overcome the challenges of production in high-wage countries.

Implementation of a Cyber-Physical System Using Wireless Sensor Networks for Monitoring Patients

2015 ◽  
Vol 1 ◽  
pp. 26 ◽  
Author(s):  
Vo Que Son ◽  
Do Tan A
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Physical System ◽  
Patient Monitoring ◽  
High Reliability ◽  
Vital Signs ◽  
Wireless Sensor ◽  
Cyber Physical System ◽  
Self Administration ◽  
Hospital Units

Sensing, distributed computation and wireless communication are the essential building components of a Cyber-Physical System (CPS). Having many advantages such as mobility, low power, multi-hop routing, low latency, self-administration, utonomous data acquisition, and fault tolerance, Wireless Sensor Networks (WSNs) have gone beyond the scope of monitoring the environment and can be a way to support CPS. This paper presents the design, deployment, and empirical study of an eHealth system, which can remotely monitor vital signs from patients such as body temperature, blood pressure, SPO2, and heart rate. The primary contribution of this paper is the measurements of the proposed eHealth device that assesses the feasibility of WSNs for patient monitoring in hospitals in two aspects of communication and clinical sensing. Moreover, both simulation and experiment are used to investigate the performance of the design in many aspects such as networking reliability, sensing reliability, or end-to-end delay. The results show that the network achieved high reliability - nearly 97% while the sensing reliability of the vital signs can be obtained at approximately 98%. This indicates the feasibility and promise of using WSNs for continuous patient monitoring and clinical worsening detection in general hospital units.

Grid Cyber-Physical System Risk Management Model Based on Cooperative Game Theory

2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Cunbin Li ◽  
Ding Liu ◽  
Yi Wang ◽  
Chunyan Liang
Keyword(s):  
Game Theory ◽  
Risk Management ◽  
Cooperative Game ◽  
Physical System ◽  
Cooperative Game Theory ◽  
Power Grid ◽  
Management Model ◽  
Cyber Physical System ◽  
Model Based ◽  
Generation Power

AbstractAdvanced grid technology represented by smart grid and energy internet is the core feature of the next-generation power grid. The next-generation power grid will be a large-scale cyber-physical system (CPS), which will have a higher level of risk management due to its flexibility in sensing and control. This paper explains the methods and results of a study on grid CPS’s behavior after risk. Firstly, a behavior model based on hybrid automata is built to simulate grid CPS’s risk decisions. Then, a GCPS risk transfer model based on cooperative game theory is built. The model allows decisions to ignore complex network structures. On this basis, a modified applicant-proposing algorithm to achieve risk optimum is proposed. The risk management model proposed in this paper can provide references for power generation and transmission decision after risk as well as risk aversion, an empirical study in north China verifies its validity.

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