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BULLETIN OF THE CHINESE CERAMIC SOCIETY ›› 2022, Vol. 41 ›› Issue (11): 3877-3885.

Special Issue: 玻璃

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Internet-Based Intelligent Integrated Service Mode for EPC Building Materials Industry

MA Liyun, GUAN Min, AI Xiaojing, YU Tao, GAI Linlin, CHANG Zheng, SHENG Jiacheng, HU Kuangyi, CHU Jingyuan, ZHANG Danlei   

  1. China Triumph International Engineering Co., Ltd., Shanghai 200063, China
  • Received:2022-04-08 Revised:2022-07-18 Online:2022-11-15 Published:2022-12-12

Abstract: In response to meeting the construction needs of the new intelligent production lines, with the goal of realizing fully digitization, automation, knowledge and intelligence, China Triumph International Engineering Co., Ltd. has designed and researched an internet-based intelligent integrated service model for the engineering procurement construction (EPC) building materials industry. A large number of principles of industrial technology, industry knowledge and basic model integrating are regularized, software-based and modularized, and encapsulated into reusable and flexible microservices to achieve rapidly application deployment and network collaboration of industrial application (APP). The service model supports basic management, such as computing, storage and service, and at the same time, the data of production process is managed, controlled and analyzed to realize the coordinated management of the entire production process including equipment condition monitoring, fault diagnosis, prediction and early warning, quality control, process control, operation and maintenance. A number of intelligent plant system solutions have been formed, and relevant results have been applied in several demonstration projects. The development and application of the internet-based intelligent integrated service model for the EPC building materials industry accelerates the transformation of enterprises and the implementation of the intelligent service strategy for the building materials industry, which has played a good demonstration role and has promotion value.

Key words: glass, intelligent equipment, system integration, digitalization, intelligent plant, process industry, engineering procurement construction

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