Big Data-driven Medical CPS Modeling Method Based On Cloud Platform

With the rapid development and breakthrough of computing technology,communication technology,sensing technology and control technology,it has become possible for the Cyber Physical System（Cyber Physical System,CPS）to pursue the close integration of the physical world and computing resources,and CPS has also become a worldwide research hotspots of key laboratories in many fields.In recent years,due to factors such as the lowering of data acquisition thresholds and the popularization of informatization,the amount of data has increased exponentially,leading to more and more researches on big data.At the same time,cloud computing has been adopted and improved by enterprises of all sizes due to its advantages of convenience,flexibility and efficiency.As people’s demand for the value of massive data and convenient resource computing power continues to grow,it is foreseeable that cross-domain research on CPS,cloud computing,and big data will continue.In the context of an aging population and scarce medical resources,the medical field seeks new technological innovations.Medical CPS has become a promising platform for improving patient treatment results and providing high-quality medical care.However,as the scale of medical CPS continues to increase,the system overall complexity is rapidly increasing,and ordinary real-time processing systems can hardly meet the high computing requirements.The introduction of cloud computing and big data is currently the most valuable solution to this problem.The specific research content of this article includes: introducing the development status,value and characteristics of CPS and medical CPS,enumerating and analyzing the mainstream CPS system structure,exploring and summarizing their common and typical characteristics,and analyzing the hospital’s unit level,system level and system level.Examples of the three levels of CPS at the system level.Considering the characteristics of big data framework and cloud computing,a set of improved medical CPS system architecture based on big data driven by cloud platform is proposed,and its security module is briefly designed.Introduce the modeling process and description method based on the model-driven architecture analysis and design language AADL,and analyze the feasibility of modeling in CPS.And use AADL to conduct modeling research based on the medical CPS cloud platform,and design the model from the three levels of CPS to the medical robot arm to the smart hospital.Among them,the unit-level medical robot arm uses Simulink for physical modeling and converts it to AADL.Finally,the feasibility of the design scheme of this paper is verified,and OSATE tools are used to verify the schedulability,flow analysis,and discrete spatiotemporal behavior of the concretely modeled medical CPS model.