Data Processing Techniques and Applications for Cyber-Physical Systems (DPTA 2019)

2020 ◽  
Keyword(s):  
Data Processing ◽  
Cyber Physical Systems ◽  
Physical Systems ◽  
Processing Techniques

An Information Processing Framework Facilitating the Implementation of Condition Monitoring in Cyber-Physical Systems

2018 ◽  
Vol 882 ◽  
pp. 75-80
Author(s):  
Hans Fleischmann ◽  
Dominik Kißkalt ◽  
Stefan Krusemark ◽  
Jörg Franke
Keyword(s):  
Data Processing ◽  
Communication Networks ◽  
Condition Monitoring ◽  
Cyber Physical Systems ◽  
Software Module ◽  
Physical Systems ◽  
Efficient Data ◽  
Service Oriented ◽  
Monitoring Module ◽  
Monitoring Architecture

Implementing condition monitoring functionality in production machinery often proves to be a difficult task. Device-and process-specific algorithms must be created while inhomogeneous industrial communication networks hinder the integration of control signals and process variables. Further challenges arise from the advance of flexible Cyber-Physical Systems (CPS) and the Industrial Internet of Things (IIoT). They demand a service-oriented condition monitoring architecture, which seamlessly adapts to quickly changing production topologies. Existing condition monitoring systems (CMS) and reference architectures for CMS however do not possess the capabilities to meet the requirements originating from CPS and the IIoT. This paper presents a software module serving as a generic framework to ease the implementation of decentralized condition monitoring functionalities. A decentralized component, the monitoring module, constitutes a part of a holistic condition monitoring architecture managed by a central server deployed on an edge or cloud server. Therefore, the monitoring module offers an interface through which its data processing flow and algorithms are entirely remotely configurable during operation. Algorithms are encapsulated in function blocks, which can easily be setup and interconnected. Scalability is ensured by the use of web technology optimized for efficient data handling and parallel data-processing. The examined use cases show the potential of the developed software module for its deployment in the use case of monitoring turn-mill-centers.

Self-aware Data Processing for Power Saving in Resource-Constrained IoT Cyber-Physical Systems

2021 ◽  
pp. 1-1
Author(s):  
Ehsan Hadizadeh Hafshejani ◽  
Nima TaheriNejad ◽  
Rozhan Rabbani ◽  
Zohreh Azizi ◽  
Shahabeddin Mohin ◽  
...  
Keyword(s):  
Data Processing ◽  
Power Saving ◽  
Cyber Physical Systems ◽  
Resource Constrained ◽  
Physical Systems

The Research on the Framework of Cyber-Physical Systems for the Reliable Sensing and Optimization Scheduling

2011 ◽  
Vol 65 ◽  
pp. 451-454
Author(s):  
Yong Liang Lun ◽  
Liang Lun Cheng
Keyword(s):  
Data Processing ◽  
Physical World ◽  
Cyber Physical Systems ◽  
Research Directions ◽  
Physical Systems ◽  
Tight Integration ◽  
Optimization Scheduling

CPS is characterized by the tight integration of physical world and cyber world. Based on the brief introduction of the CPS and the research of its framework, we purpose a novel framework of the CPS aiming on the reliable sensing and optimization scheduling. The framework has five layers which are access layer, apperceive layer, networks layer, data processing layer and services layer. We make the introduction and analysis of each layer and point out the further research directions of them.

scholarly journals A Case for Integrated Data Processing in Large-Scale Cyber-Physical Systems

2019 ◽  
Author(s):  
René Glebke ◽  
Martin Henze ◽  
Klaus Wehrle ◽  
Philipp Niemietz ◽  
Daniel Trauth ◽  
...  
Keyword(s):  
Data Processing ◽  
Large Scale ◽  
Cyber Physical Systems ◽  
Physical Systems

scholarly journals Integrated Monitoring System of Production Processes

2016 ◽  
Vol 7 (4) ◽  
pp. 86-96 ◽  
Author(s):  
Przemysław Oborski
Keyword(s):  
Data Processing ◽  
Production Process ◽  
Monitoring System ◽  
Production System ◽  
Reference Model ◽  
Cyber Physical Systems ◽  
Future Application ◽  
Manufacturing Processes ◽  
Integrated Monitoring ◽  
Physical Systems

Abstract Integrated monitoring system for discrete manufacturing processes is presented in the paper. The multilayer hardware and software reference model was developed. Original research are an answer for industry needs of the integration of information flow in production process. Reference model corresponds with proposed data model based on multilayer data tree allowing to describe orders, products, processes and save monitoring data. Elaborated models were implemented in the integrated monitoring system demonstrator developed in the project. It was built on the base of multiagent technology to assure high flexibility and openness on applying intelligent algorithms for data processing. Currently on the base of achieved experience an application integrated monitoring system for real production system is developed. In the article the main problems of monitoring integration are presented, including specificity of discrete production, data processing and future application of Cyber-Physical-Systems. Development of manufacturing systems is based more and more on taking an advantage of applying intelligent solutions into machine and production process control and monitoring. Connection of technical systems, machine tools and manufacturing processes monitoring with advanced information processing seems to be one of the most important areas of near future development. It will play important role in efficient operation and competitiveness of the whole production system. It is also important area of applying in the future Cyber-Physical-Systems that can radically improve functionally of monitoring systems and reduce the cost of its implementation.

scholarly journals Investigation of the Required Discreteness of Interpolation Movement Parameters in Cyber-physical Systems

2021 ◽  
Author(s):  
Volodymyr Kombarov ◽  
Yevgen Tsegelnyk ◽  
Sergiy Plankovskyy ◽  
Yevhen Aksonov ◽  
Yevhen Kryzhyvets
Keyword(s):  
Data Processing ◽  
High Speed ◽  
Internal Representation ◽  
Cyber Physical Systems ◽  
High Speed Machining ◽  
Cnc System ◽  
Physical Systems ◽  
System Equations ◽  
And Performance ◽  
Movement Parameters

Improving the accuracy, reliability, and performance of cyber-physical systems such as high-speed machining, laser cutting, welding and cladding etc. is one of the most pressing challenges in modern industry. CNC system carries out data processing and significantly affect on accuracy of operation such equipment. The paper considers the problem of controlled axes motion differential characteristics data processing in the internal representation of the discrete space of the CNC system. Equations for determining the required discreteness of the differential characteristics position and resolution, such as the speed, acceleration, and jerk are proposed. For the most widely used CNC equipment specific discreteness and resolution values have been determined.

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