상호운용적 스마트 공장을 위한 PMMLㆍPFA와 자산관리쉘 통합 방법

Abstract

The present work proposes a method to integrate Predictive Model Markup Language (PMML) and Portable Format for Analytics (PFA) with Asset Administration Shell (AAS) for interoperable smart factories. This method enables the exchange and sharing of data analytics models across heterogeneous manufacturing assets through their deployment into AAS, which specifies a unified and standardized format to represent digital models, data and technical functionalities of physical assets. This article includes : the conceptual model and process, information structure and system architecture for creating and deploying PMML and PFA-based data analytics models into AAS. This article also includes a prototype implementation. In the prototype, a server creates regression and neural network-driven energy prediction models for a production machine, represents the models based on the PMML and PFA schema, generates and responds to an AAS instance with its submodels embedding such PMML and PFA models; meanwhile, a client requests and receives the AAS instance on a web environment.