Enterprise System for Cyber Physical System - MyAssignmenthelp.com

Question: Discuss about theEnterprise System for Cyber Physical System. Answer: Enterprise systems integration with other organizational systems, cyber physical systems and scada systems are the systems that have been reviewed recently in this aspect. The components of scada are brought together such that the component systems are one system and an aggregation of the small subsystems are put together. Cyber-physical system (CPS) is used in organizations in a mechanism controlled or monitored by computer-based algorithms, tightly integrated with the internet and its users. In cyber-physical systems, physical and software components are deeply intertwined, each operating on different spatial and temporal scales, exhibiting multiple and distinct behavioral modalities, and interacting with each other in a myriad of ways that change with context.[1] Examples of CPS include smart grid, autonomous automobile systems, medical monitoring, process control systems, robotics systems, and automatic pilot avionics.[2] CPS involves integration involves Trans disciplinary approaches, merging theory of cybernetics, mechatronics, design and process science.[3][4][5] The process control is often referred to as embedded systems. In embedded systems the emphasis tends to be more on the computational elements, and less on an intense link between the computational and physical elements. CPS is also similar to the Internet of Things (IoT) sharing the same basic architecture, nevertheless, CPS presents a higher combination and coordination between physical and computational elements.[6] Precursors of cyber-physical systems can be found in areas as diverse as aerospace, automotive, chemical processes, civil infrastructure, energy, healthcare, manufacturing, transportation, entertainment, and consumer appliances.[2] Cyber-physical models for future manufacturingwith the motivation a cyber-physical system, a "coupled-model" approach was developed.[25] The coupled model is a digital twin of the real machine that operates in the cloud platform and simulates the health condition with an integrated knowledge from both data driven analytical algorithms as well as other available physical knowledge. The coupled model first constructs a digital image from the early design stage. System information and physical knowledge are logged during product design, based on which a simulation model is built as a reference for future analysis. Initial parameters may be statistically generalized and they can be tuned using data from testing or the manufacturing process using parameter estimation. The simulation model can be considered as a mirrored image of the real machine, which is able to continuously record and track machine condition during the later utilization stage. Finally, with ubiquitous connectivity offered by cloud computing technology, the coupled model also provides better accessibility of machine condition for factory managers in cases where physical access to actual equipment or machine data is limited. These features pave the way toward implementing cyber manufacturing.[26][27] . (Garvey, 2014) said the cost varies because of the interfaces that subsystems are exporting. Scada Systems There is acronym for supervisory control and data acquisition, a computer system for gathering and analyzing real time data. SCADA systems are used to monitor and control a plant or equipment in organizations such as telecommunications, water and waste control, energy, oil and gas refining and transportation. A SCADA system gathers information and then sends inform of an integrated circuit in an organization such as where a leak on a pipeline has occurred, transfers the information back to a central site, alerting the home station that the leak has occurred, carrying out necessary analysis and control, such as determining if the leak is critical, and displaying the information in a logical and organized fashion. (Samuel, 2014) said with systems integrated using this method, it is possible to completely replace one subsystem with another subsystem. SCADA systems can be relatively simple, such as one that monitors environmental conditions of a small office building, or incredibly complex, such as a system that monitors all the activity in a nuclear power plant or the activity of a municipal water system. control system architecture that uses computers, networked data communications and graphical user interfaces for high-level process supervisory management, but uses other peripheral devices such as programmable logic controllers and discrete PID controllers to interface to the process plant or machinery. The operator interfaces which enable monitoring and the issuing of process commands, such as controller set point changes, are handled through the SCADA supervisory computer system. However, the real-time control logic or controller calculations are performed by networked modules which connect to the field sensors and actuators. (Peterson, 2013) said in the modern world connected by Internet, the role of system integration engineers is important: The SCADA concept is developed as a an organization application methodology means of remote access to a variety of local control modules, which could be from different manufacturers allowing access through standard automation protocols. In practice, large SCADA systems have grown to become very similar to distributed control systems in function, but using multiple means of interfacing with the plant. (George, 2012) said their expertise ranges from hands-on experience with technology and project management to the higher-level issues of business. They can control large-scale processes that can include multiple sites, and work over large distances.[1] It is one of the most commonly-used types of industrial control systems, however there are concerns about SCADA systems being vulnerable to cyber warfare/cyber terrorism attacks.[2] References George, L. (2012). Their expertise ranges from hands-on experience with technology and project management to the higher-level issues of business: Gotham press, Australia. Peterson, V. (2013). The modern world connected by Internet, the role of system integration engineers is important: Austria press, Australia. Garvey, C. (2014). The cost varies because of the interfaces that subsystems are exporting: Lowman press, Paris. Bibliography Peter Bernus and L. Nemes (ed.). (1995). Modelling and Methodologies for Enterprise Integration: Proceedings of the IFIP TC5 Working Conference on Models and Methodologies for Enterprise Integration, Queensland, Australia, November 1995. Chapman Hall. ISBN 0-412-75630-7. Peter Bernus et al. (1996). Architectures for Enterprise Integration. Springer. ISBN 0-412-73140-1 Fred A. Cummins (2002). Enterprise Integration: An Architecture for Enterprise Application and Systems Integration. John Wiley Sons. ISBN 0-471-40010-6 Charles J. Petrie (1992). Enterprise Integration Modeling: Proceedings of the First International Conference. MIT Press. ISBN 0-262-66080-6 Kent Sandoe, Gail Corbitt, Raymond Boykin, Aditya Saharia (2001). Enterprise Integration. Wiley, ISBN 0-471-35993-9.