MCIP Client Application for SCADA in Iiot Environment
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2015, Vol 6, Issue 9
Abstract
Modern automation systems architectures which include several subsystems for which an adequate burden sharing is required. These subsystems must work together to fulfil the tasks imposed by the common function, given by the business purpose to be fulfilled. These subsystems or components, in order to perform these tasks, must communicate with each other, this being the critical function of the architecture of such a system. This article presents a MCIP (Monitoring and Control of the Industrial Processes) client application which allows the monitoring and control of the industrial processes and which is object-oriented. As a novelty, the paper presents the architecture of the user object, which is actually a wrapper that allows the connection to Communication Standard Interface bus, the characteristics of the IIoT (Industrial Internet of Things) object and the correspondence between a server’s address space and the address space of MCIP.
Authors and Affiliations
Nicoleta GAITAN
Keywords
Related Articles
- EP ID EP90083
- DOI 10.14569/IJACSA.2015.060921
- Views 112
- Downloads 0
Encrypted With Fuzzy Compliment-Max-Product Matrix in Watermarking
Watermark is used to protect copyright and to authenticate images. In digital media, today’s world images are in electronic form available in the internet. For its protection and authentication invisible watermarking in...
Domain and Schema Independent Semantic Model Verbalization: A Conceptual Overview
Semantic Web-based technologies have become extremely popular and its a success that has spread across many domains, additional to the computer science domain. Nevertheless, the reusability aspects associated with the cr...
Learners’ Attitudes Towards Extended-Blended Learning Experience Based on the S2P Learning Model
Within the Moroccan context, the Higher Education Institutions have realized the importance of the integration of information technologies into the formal learning curriculum. However, the risks of demotivation remain la...
Facial Expression Recognition using Hybrid Texture Features based Ensemble Classifier
Communication is fundamental to humans. In the literature, it has been shown through many scientific research studies that human communication ranges from 54 to 94 percent is non-verbal. Facial expressions are the most o...
Empirical Assessment of Ensemble based Approaches to Classify Imbalanced Data in Binary Classification
Classifying imbalanced data with traditional classifiers is a huge challenge now-a-days. Imbalance data is a situation wherein the ratio of data within classes is not same. Many real life situations deal with such proble...