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New-Generation Quality and Safety Management of the Construction Industry

Xie Xianqi, Deng Liming, Xiao Mingzhao, Luo Hanbin, Fang Ruiwei

Strategic Study of CAE 2021, Volume 23, Issue 4, Pages 71-78 doi: 10.15302/J-SSCAE-2021.04.008

Abstract: propose a next-generation construction quality and safety management system that is composed of product intelligentdesign for construction quality and safety control, intelligent sensing and analysis of construction

Keywords： digital twin quality and safety smart construction intelligent sense and analysis

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Isomorphism analysis on generalized modules oriented to the distributed parameterized intelligent product

Shasha ZENG, Weiping PENG, Tiaoyu LEI

Frontiers of Mechanical Engineering 2020, Volume 15, Issue 1, Pages 12-23 doi: 10.1007/s11465-019-0555-9

Abstract: The distributed parameterized intelligent product platform (DPIPP) contains many agents of a productIn this study, a new method of isomorphism analysis on generalized modules oriented to DPIPP is proposedGeneralized modules with a similar structure are combined to complete the isomorphism analysis.

Keywords： distributed parameterized intelligent product platform generalized module isomorphism analysis product

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Field investigation of intelligent compaction for hot mix asphalt resurfacing

Wei HU,Xiang SHU,Baoshan HUANG,Mark WOODS

Frontiers of Structural and Civil Engineering 2017, Volume 11, Issue 1, Pages 47-55 doi: 10.1007/s11709-016-0362-x

Abstract:

Intelligent compaction (IC) is a relatively new technology for asphalt paving industry.In the second project, a multivariate analysis was performed between in situ tests and IC data.

Keywords： intelligent compaction compaction meter value (CMV) semivariogram multivariate analysis

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Brief Analysis on Three Basic Paradigms of Intelligent Manufacturing

Zang Jiyuan, Wang Baicun, Meng Liu , Zhou Yuan

Strategic Study of CAE 2018, Volume 20, Issue 4, Pages 13-18 doi: 10.15302/J-SSCAE-2018.04.003

Abstract: style="text-align: justify;">This paper briefly describes the significance of studying the paradigms of intelligentmanufacturing, and introduces the connotation and development process of intelligent manufacturing.By analyzing the characteristics of relevant paradigms of intelligent manufacturing, three basic paradigmsof intelligent manufacturing are summarized: digital manufacturing, digital and networked manufacturingThe new-generation intelligent manufacturing will fundamentally lead and advance the fourth industrial

Keywords： basic paradigms digital manufacturing “Internet Plus” manufacturing new-generation intelligent manufacturing

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Strategic Analysis on Establishing an Automobile Power in China Based on Intelligent & Connected Vehicles

Bian Mingyuan and Li Keqiang

Strategic Study of CAE 2018, Volume 20, Issue 1, Pages 52-58 doi: 10.15302/J-SSCAE-2018.01.008

Abstract:

The intelligent and connected vehicle (ICV), a trendy and promising industry form, has evolved with

Keywords： intelligent & connected vehicle (ICV) automobile power industrial transformation and upgrading top-level

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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.A secondary mining is performed on the results of patent analysis and bibliometrics.

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

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Intelligent Drilling and Completion: A Review Review

Gensheng Li,Xianzhi Song,Shouceng Tian,Zhaopeng Zhu,

Engineering 2022, Volume 18, Issue 11, Pages 33-48 doi: 10.1016/j.eng.2022.07.014

Abstract: In recent years, numerous studies have focused on intelligent algorithms and their application.Additionally, in intelligent drilling and completion, methods for the fusion of data-driven and physicsbasedmodels, few-sample learning, uncertainty modeling, and the interpretability and transferability of intelligentBased on intelligent application scenarios, this study comprehensively reviews the research status ofintelligent drilling and completion and discusses key research areas in the future.

Keywords： Intelligent drilling and completion Artificial intelligence Intelligent application scenarios Literature

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Tool path strategy and cutting process monitoring in intelligent machining

Ming CHEN, Chengdong WANG, Qinglong AN, Weiwei MING

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 2, Pages 232-242 doi: 10.1007/s11465-018-0469-y

Abstract:

Intelligent machining is a current focus in advanced manufacturing technology, and is characterizedA central technology of intelligent machining—the cutting process online monitoring and optimizationmachining, cranio-maxillofacial surgery, and hydraulic servo valve deburring are introduced as examples of intelligentResults show that intelligent tool path optimization and cutting process online monitoring are efficient

Keywords： intelligent machining tool path strategy process optimization online monitoring

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Satellite scheduling engine: The intelligent solver for future multi-satellite management

Frontiers of Engineering Management 2022, Volume 9, Issue 4, Pages 683-688 doi: 10.1007/s42524-022-0222-4

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Development Trends for China’s Instrumentation Engineering Science and Technology to 2035

Wang Xue and Zhang Li

Strategic Study of CAE 2017, Volume 19, Issue 1, Pages 103-107 doi: 10.15302/J-SSCAE-2017.01.015

Abstract: style="text-align: justify;">Instrumentation is the fundamental technology and essential equipment for intelligentWithin the requirements of digital, intelligent, and networked instruments, key technologies and futuretrends are depicted for three main aspects: intelligent instrumentation, medical instruments, and micro-electro-mechanical

Keywords： instrumentation intelligent instrumentation medical instrument MEMS trend analysis