A Case Study on Knowledge Driven Code Generation for Software-Defined Industrial Cyber-Physical Systems

Industrial Cyber-Physical Systems (iCPS) enables coordination between various subsystems and devices based on real-time feedback data from sensors. iCPS must react rapidly to new requirements and adjust itself to fulfill new functionalities in no time. On the software side, control programs of iCPS need to be reconfigured dynamically. An efficient way for massive reconfiguration is automatic code generation. In this paper, a knowledge-driven code generation method is experimented for software-defined iCPS. Based on sensor values, actuators are controlled by the reasoning process with support of ontological knowledge base. The results demonstrate that iCPS could be driven by rules completely without programming control software.