NDLI: A Multi-Perspective Method for Analysis of Cooperative Behaviors Among Industrial Devices of Smart Factory

Content Provider	Directory of Open Access Journals (DOAJ)
Author	Gang Ren Qingsong Hua Pan Deng Chao Yang Jianwei Zhang
Abstract	With the rapid development of smart factory of Industry 4.0, all kinds of industrial devices are adopted in smart factory. As a result, the complexity of cooperative behaviors among industrial devices increases rapidly. It becomes more and more difficult for practicing engineers to ensure temporal correctness of cooperative behaviors. At the same time, smart factory has made its way into the domain of safety-critical systems, where there is a higher requirement for temporal correctness of cooperative behaviors. Therefore, it faces great challenges for practicing engineers to ensure temporal correctness of cooperative behaviors. Nowadays, some methods have been proposed for analysis of cooperative behaviors. They can use graphic methods and formal methods to create the graphic model and formal model to analyze and ensure the temporal correctness. However, these methods lack the capability of multi-perspective analysis that is exactly necessary for those systems that have a higher requirement for temporal correctness. To address this issue, in this paper, we propose a multi-perspective method that can analyze cooperative behaviors from the macroscopic perspective and the microscopic perspective. Comparing to existing methods, it can provide a more thorough analysis for cooperative behaviors. The usage of our method is illustrated by a semiconductor manufacturing scenario.
e-ISSN	21693536
DOI	10.1109/ACCESS.2017.2708127
Journal	IEEE Access
Volume Number	5
Language	English
Publisher	IEEE
Publisher Date	2017-01-01
Publisher Place	United States
Access Restriction	Open
Subject Keyword	Electrical Engineering. Electronics. Nuclear Engineering Cooperative Behaviors Macroscopic Analysis Microscopic Analysis Structure Property Verification Business Property Verification
Content Type	Text
Resource Type	Article

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