Developing Context-aware Applications for Cyber Physical Systems based on Discrete Timed Petri Nets

With real-time data from the IoT infrastructure, Cyber-Physical Systems (CPS) are able to respond to the internal or external events in enterprises based on the up-to-date information. The ability to efficiently provide information needed by the workers or other types of resources for them to perform the upcoming operations is very important. Such information must be dependent on the context of the workers or other types of resources involved. The frequently changing nature of workflows in enterprises poses a challenge in provision of such context-aware information. The context-aware information must be generated dynamically according to the current workflows. Therefore, the software used to generate context-aware information for workers or other types of resources must be dynamically adapted to the current workflow in use. In this paper, a context-aware information generator will be proposed to generate contextual information for workers or other types of resources to guide their operations. The idea is realized by transforming models. The models used in this paper to represent the Cyber-World models are Discrete Timed Petri Nets. The objective of this study is to propose a method to generate context-aware information for workers/resources with the Cyber-World models described by Discrete Timed Petri Nets. In this paper, we will present the software development methodology and illustrate the idea by an example.