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Development Strategy for Intelligent Factory in Discrete Manufacturing

Lu Bingheng, Shao Xinyu , Zhang Jun, Wang Lei

Strategic Study of CAE 2018, Volume 20, Issue 4, Pages 44-50 doi: 10.15302/J-SSCAE-2018.04.008

Abstract: Intelligent production is a major component of intelligent manufacturing, while intelligent factory isthe carrier for intelligent production.First, the concept of intelligent factory is introduced, with its basic structure, information systemThen, the key breakthrough directions and the implementation plan for intelligent factory are laid outFinally, following suggestions are provided for policy makers to develop intelligent factory: ① actively

Keywords： intelligent manufacturing intelligent factory discrete manufacturing

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Exploration of interconnected factory mode: Haier Jiaozhou Air Conditioner Interconnected Factory

Yunjie ZHOU

Frontiers of Engineering Management 2017, Volume 4, Issue 4, Pages 500-503 doi: 10.15302/J-FEM-2017105

Keywords： interconnected factory mode user-centered mass customization interconnection

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China Launched the First Wastewater Resource Recovery Factory in Yixing

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 1, doi: 10.1007/s11783-021-1496-1

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Intelligent Ironmaking Optimization Service on a Cloud Computing Platform by Digital Twin Article

Heng Zhou, Chunjie Yang, Youxian Sun

Engineering 2021, Volume 7, Issue 9, Pages 1274-1281 doi: 10.1016/j.eng.2021.04.022

Abstract: With the application of this optimization service in a cloud factory, iron production was found to increase

Keywords： Cloud factory Blast furnace Multi-objective optimization Distributed computation

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network-based production process modeling and variable importance analysis approach in corn to sugar factory

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 3, Pages 358-371 doi: 10.1007/s11705-022-2190-y

Abstract: Corn to sugar process has long faced the risks of high energy consumption and thin profits. However, it’s hard to upgrade or optimize the process based on mechanism unit operation models due to the high complexity of the related processes. Big data technology provides a promising solution as its ability to turn huge amounts of data into insights for operational decisions. In this paper, a neural network-based production process modeling and variable importance analysis approach is proposed for corn to sugar processes, which contains data preprocessing, dimensionality reduction, multilayer perceptron/convolutional neural network/recurrent neural network based modeling and extended weights connection method. In the established model, dextrose equivalent value is selected as the output, and 654 sites from the DCS system are selected as the inputs. LASSO analysis is first applied to reduce the data dimension to 155, then the inputs are dimensionalized to 50 by means of genetic algorithm optimization. Ultimately, variable importance analysis is carried out by the extended weight connection method, and 20 of the most important sites are selected for each neural network. The results indicate that the multilayer perceptron and recurrent neural network models have a relative error of less than 0.1%, which have a better prediction result than other models, and the 20 most important sites selected have better explicable performance. The major contributions derived from this work are of significant aid in process simulation model with high accuracy and process optimization based on the selected most important sites to maintain high quality and stable production for corn to sugar processes.

Keywords： big data corn to sugar factory neural network variable importance analysis

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Fermentative hydrogen production from beet sugar factory wastewater treatment in a continuous stirred

Gefu ZHU, Chaoxiang LIU, Jianzheng LI, Nanqi REN, Lin LIU, Xu HUANG

Frontiers of Environmental Science & Engineering 2013, Volume 7, Issue 1, Pages 143-150 doi: 10.1007/s11783-012-0456-1

Abstract: fermentation process was evaluated for wastewater treatment and bio-hydrogen production from acidic beet sugar factory

Keywords： hydrogen production continuous stirred tank reactor (CSTR) specific hydrogen production rate beet sugar factory

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The Skyscraper Crop Factory: A Potential Crop-Production System to Meet Rising Urban Food Demand Perspective

Li Zhang, Lan Huang, Tao Li, Tao Wang, Xiao Yang, Qichang Yang

Engineering 2023, Volume 31, Issue 12, Pages 70-75 doi: 10.1016/j.eng.2023.08.014

Abstract: Here, we highlight the potential of the sky farm, denoted as the “skyscraper crop factory&rdquo

Keywords： Vertical farming system Cereal crop production Plant factory technology Skyscraper crop factory

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Networking Architecture and Development Trend of Industrial Internet

Yu Xiaohui, Zhang Hengsheng, Peng Yan, Li Dong

Strategic Study of CAE 2018, Volume 20, Issue 4, Pages 79-84 doi: 10.15302/J-SSCAE-2018.04.013

Abstract: The intra-factory network is developing in directions of integration, openness, and flexibility.The services of the extra-factory network are universal, refined, and flexible.networking framework of the industrial Internet, and suggests that industrial enterprises build intra-factoryaccording to requirements for business, real-time performance, transmission methods, etc., and build extra-factory

Keywords： intra-factory network extra-factory network openness integration

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Theoretical research and application of petrochemical Cyber-physical Systems

Jiming WANG

Frontiers of Engineering Management 2017, Volume 4, Issue 3, Pages 242-255 doi: 10.15302/J-FEM-2017053

Abstract: A petrochemical smart factory is a green, efficient, safe and sustainable modern factory that combinesA Cyber-physical System (CPS) is the infrastructure of a petrochemical smart factory.

Keywords： Cyber-physical System (CPS) petrochemical industry smart factory

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Development Strategy of Intelligent Ship Engineering Technology

Lang Shuyan, Zeng Xiaoguang, Zhang Min

Strategic Study of CAE 2019, Volume 21, Issue 6, Pages 27-32 doi: 10.15302/J-SSCAE-2019.06.005

Abstract:

With the rapid development of emerging technologies, intelligent shipIn this study, we introduced the technical classification of intelligent ships, summarized the currentdevelopment status of intelligent ship technology in China and abroad, studied the characteristics ofFurthermore, we suggest that China should pay equal attention to R & D and application of the intelligent

Keywords： ship intelligention intelligent ship technology intelligent ship

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Intelligent Products and Equipment Led by New-Generation Artificial Intelligence

Tan Jianrong, Liu Zhenyu, Xu Jinghua

Strategic Study of CAE 2018, Volume 20, Issue 4, Pages 35-43 doi: 10.15302/J-SSCAE-2018.04.007

Abstract:

Intelligent products and equipment is the value carrier, technologicalprerequisite and material base of intelligent manufacturing and service.The intelligent products and equipment refers to two dialectical aspects: on the one hand, commercializationof intelligent technology, turning intelligence technology into products, which is mainly reflectedmanufacturing equipment, intelligent production, and intelligent management.

Keywords： intelligent products and equipment knowledge engineering intelligent state sensing intelligent variationadaptation intelligent knowledge learning intelligent control decision

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New technology foresight method based on intelligent knowledge management

Lingling ZHANG, Siting HUANG

Frontiers of Engineering Management 2020, Volume 7, Issue 2, Pages 238-247 doi: 10.1007/s42524-019-0062-z

Abstract: Intelligent knowledge management emphasizes human–machine integration, which combines the advantagesThus, we proposed a new technology foresight method based on intelligent knowledge management.

Keywords： technology foresight intelligent knowledge management technological online platform

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Intelligent Forecasting Mode and Approach of Mid and Long Term Intelligent Hydrological Forecasting

Chen Shouyu,Guo Yu,Wang Dagang

Strategic Study of CAE 2006, Volume 8, Issue 7, Pages 30-35

Abstract:

Intelligent calculating tools such as fuzzy optimization approaches, BP neural network and geneticorganically synthesizes fuzzy optimal selection, BP neural network and genetic algorithm and establishes intelligentThe results are highly promising and show that the operation speed, precision and stability of intelligent

Keywords： fuzzy optimal selection BP neural network genetic algorithm intelligent forecasting mode mid and longterm intelligent hydrological forecasting

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Intelligent Petroleum Engineering Perspective

Mohammad Ali Mirza, Mahtab Ghoroori, Zhangxin Chen

Engineering 2022, Volume 18, Issue 11, Pages 27-32 doi: 10.1016/j.eng.2022.06.009

Abstract:

Data-driven approaches and AI algorithms are promising enough to be relied on even more than physics-based methods; their main feed is data which is the fundamental element of each phenomenon. These algorithms learn from data and unveil unseen patterns out of it. The petroleum industry as a realm where huge volumes of data are generated every second is of great interest to this new technology. As the oil and gas industry is in the transition phase to oilfield digitization, there has been an increased drive to integrate data-driven modeling and machine learning algorithms in different petroleum engineering challenges. ML has been widely used in different areas of the industry. Many extensive studies have been devoted to exploring AI applicability in various disciplines of this industry; however, lack of two main features is noticeable. Most of the research is either not practical enough to be applicable in real-field challenges or limited to a specific problem and not generalizable. Attention must be given to data itself and the way it is classified and stored. Although there are sheer volumes of data coming from different disciplines, they reside in departmental silos and are not accessible by consumers. In order to derive as much insight as possible out of data, the data needs to be stored in a centralized repository from where the data can be readily consumed by different applications.

Keywords： Artificial intelligence Machine learning Intelligent reservoir engineering Text mining Intelligentgeoscience Intelligent drilling engineering

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Intelligent Manufacturing of Special Equipment Based on Intelligent Connection

Liu Sanjiang, Chen Zuzhi, Shi Kun, Li Guanghai

Strategic Study of CAE 2020, Volume 22, Issue 6, Pages 143-150 doi: 10.15302/J-SSCAE-2020.06.019

Abstract: Implementing intelligent manufacturing in the special equipment field could facilitate the transformation, intelligent quality management, and real-time monitoring of dynamic risks.Based on this, intelligent connection is introduced as a technology path for developing intelligent manufacturingof special equipment, and the concept of intelligent connection is further analyzed.equipment and developing intelligent applications.

Keywords： special equipment intelligent manufacturing intelligent connection parallel development