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SmartPipe: Towards Interoperability of Industrial Applications via Computational Reflection 被引量:2

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摘要 With the advancement of new information technologies,a revolution is being taken place to bring the industry into a new era of intelligent manufacturing.One of the key requirements of intelligent manufacturing is the interoperability of industrial applications.However,it is challenging to realize the interoperability for legacy industrial applications due to 1)the deficient semantic information of data transmitted over heterogeneous communication protocols,2)the difficulty to understand the complex process of business logic with no source code,and 3)the high cost and potential risk of reengineering the applications.To address the issues,in this paper,we propose an approach named SmartPipe to exposing existing functionalities of an industrial application as APIs without source code while simultaneously allowing the application to remain unchanged.We design a behavioral runtime model(BRM)as the self-representation of the industrial applications,based on which a computational reflection framework is designed to flexibly construct the model and generate APIs that encapsulate specific functionalities.We validate SmartPipe on a real industrial application that controls the spin-draw winding machine.Results show that our approach is effective and more suitable for industrial scenes compared with traditional approaches.
出处 《Journal of Computer Science & Technology》 SCIE EI CSCD 2020年第1期161-178,共18页 计算机科学技术学报(英文版)
基金 This work was supported by the National Key Research and Development Program of China under Grant No.2018YFB1004800 the National Natural Science Foundation of China under Grant No.61725201 Beijing Municipal Science and Technology Project under Grant No.Z171100005117002 Tianjin Municipal People's Government Port Service Office(Project on Cross-Border E-Commerce Big Data Analysis and Display System).
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