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equipment intelligentization 1

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Greenization, Intelligentization and Remanufacture in Service of Equipment in Process Industry

Gao Jinji and Yang Guoan

Strategic Study of CAE 2015, Volume 17, Issue 7,   Pages 54-53

Abstract: Development strategies are put forward for greenization, intelligentization and remanufacture in service

Keywords: process industry     equipment     greenization     intelligentization     remanufacture in service    

Factor Analysis of Lightweight Material Welding Workshop Intelligentization

Zhou Anliang and Wang Decheng

Strategic Study of CAE 2017, Volume 19, Issue 5,   Pages 103-108 doi: 10.15302/J-SSCAE-2017.05.018

Abstract: By combining these dimensions with the technology development trends of advanced workshop intelligentizationand welding process digitization, eight basic factors that lightweight welding workshop intelligentizationwhile welding closed loop transformation, welding analysis datamation, welding technology analysis intelligentizationconclusion that could be used in reference to the improvement or new establishment of welding workshop intelligentization

Keywords: welding technology     welding workshop     intelligentization     lightweight material     strategic research    

Intelligent Development of Intelligent Marine Equipment in China

Tang Min, Li Feng, Zeng Li, Hua Lin

Strategic Study of CAE 2019, Volume 21, Issue 6,   Pages 22-26 doi: 10.15302/J-SSCAE-2019.06.004

Abstract:

With the deep integration of information technology and the manufacturing industry, intelligent promotion and upgrading now becomes significant for boosting the competitiveness of China's marine equipment industry and for ultimately developing China into a shipbuilding power. The current situation and intelligent development trend of the marine equipment industry in other countries are first summarized in this paper. Bottlenecks that restricts the intelligent development of China's marine equipment is then analyzed. Furthermore, the general idea, implementing approach, and top-level framework are put forward for the intelligent development of China's marine equipment. Moreover, suggestions are proposed for the development, including establishing a reasonable product structure based on demand, promoting the demonstrating and guiding role of major projects, and enhancing cooperation among different industries.

Keywords: marine equipment industry     equipment intelligentization     shipbuilding powerhouse    

Comprehensive Management Strategy of Underground Space Development in China

Yang Huayong, Jiang Yuan, Li Zhe, Gao Jinjin, Wang Baicun

Strategic Study of CAE 2021, Volume 23, Issue 4,   Pages 126-136 doi: 10.15302/J-SSCAE-2021.04.015

Abstract: include the establishment of a comprehensive management system, improvement in management capacity, intelligentization

Keywords: underground space     development and utilization     comprehensive management     intelligentization     resource    

Intrinsic Safety & Reliability and Supervision Intelligentization of Equipment in Refinery Enterprises

Wang Qingfeng, Liu Jiahe, Liu Jianjun, Wang Xuebin, Li Zhong

Strategic Study of CAE 2019, Volume 21, Issue 6,   Pages 129-136 doi: 10.15302/J-SSCAE-2019.10.002

Abstract: Equipment reliability design/manufacturing, risk management, and monitoring and control intelligentizationThis study reveals the connotation of intrinsic safety & reliability and supervision intelligentizationdevelopment trends of reliability design/manufacturing, risk management, and monitoring and control intelligentizationcorresponding countermeasures for improving the intrinsic safety and reliability and realizing supervision intelligentization

Keywords: intrinsic safety     reliability design     reliability manufacturing     risk management     supervision intelligence    

Strategic Research on the Goals, Characteristics, and Paths of Intelligentization of Process Manufacturing

Yuan Qingtang, Yin Ruiyu, Cao Xianghong, Liu Peicheng

Strategic Study of CAE 2020, Volume 22, Issue 3,   Pages 148-156 doi: 10.15302/J-SSCAE-2020.03.022

Abstract:

This study focuses on the constitutive characteristics, dissipative structure, dissipative process, modeling mechanism, and other physical essence concerning the manufacturing processes of the process manufacturing industry. The petrochemical and steel industries are used as the major research objects in the study. It integrates intelligence with the concept of cyber-physical systems (CPS) to investigate the possible approaches for realizing self-sensing, self-learning, self-decision-making, self-execution, and self-adaptation of plant-wide dynamic processes including operation, management, and service. It also studies the approaches for building a CPSbased intelligent factory. Furthermore, the goals, characteristics, and paths are proposed for the intelligent development of the process manufacturing industry toward 2035; and countermeasures and suggestions are also proposed regarding mechanism construction, science and technology project, financial support, technology research and development, intellectual property, and international communication.

Keywords: process manufacturing industry     intelligence     steel industry     petrochemical industry     2035    

Title Author Date Type Operation

Greenization, Intelligentization and Remanufacture in Service of Equipment in Process Industry

Gao Jinji and Yang Guoan

Journal Article

Factor Analysis of Lightweight Material Welding Workshop Intelligentization

Zhou Anliang and Wang Decheng

Journal Article

Intelligent Development of Intelligent Marine Equipment in China

Tang Min, Li Feng, Zeng Li, Hua Lin

Journal Article

Comprehensive Management Strategy of Underground Space Development in China

Yang Huayong, Jiang Yuan, Li Zhe, Gao Jinjin, Wang Baicun

Journal Article

Intrinsic Safety & Reliability and Supervision Intelligentization of Equipment in Refinery Enterprises

Wang Qingfeng, Liu Jiahe, Liu Jianjun, Wang Xuebin, Li Zhong

Journal Article

Strategic Research on the Goals, Characteristics, and Paths of Intelligentization of Process Manufacturing

Yuan Qingtang, Yin Ruiyu, Cao Xianghong, Liu Peicheng

Journal Article