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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:

Special equipment are important for the economic and societal development of a country. Implementing intelligent manufacturing in the special equipment field could facilitate the transformation and upgrades of the special equipment manufacturing industry of China, and it is also an essential component for the China Manufacturing 2025 plan. In this article, we first analyze the characteristics and current status of special equipment in China and summarize the demand for intelligent manufacturing of special equipment. Then we propose some measures and development ideas for promoting the special equipment manufacturing industry from big to strong. We propose that the guiding ideology should be parallel development; the Industry 2.0, Industry 3.0, and Industry 4.0 should be promoted in parallel in the special equipment industry. The development of intelligent manufacturing of special equipment should focus on product traceability, intelligent quality management, and real-time monitoring of dynamic risks. Based on this, intelligent connection is introduced as a technology path for developing intelligent manufacturing of special equipment, and the concept of intelligent connection is further analyzed. Furthermore, the key tasks for future development are building an intelligent connection network of special equipment and developing intelligent applications. 

Keywords: special equipment     intelligent manufacturing     intelligent connection     parallel development    

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    

Shrinking Medical Devices Get Smarter Too

Chris Palmer

Engineering 2021, Volume 7, Issue 1,   Pages 8-10 doi: 10.1016/j.eng.2020.12.004

An Intelligent Control Method for the Low-Carbon Operation of Energy-Intensive Equipment Article

Tianyou Chai, Mingyu Li, Zheng Zhou, Siyu Cheng, Yao Jia, Zhiwei Wu

Engineering 2023, Volume 27, Issue 8,   Pages 84-95 doi: 10.1016/j.eng.2023.05.018

Abstract:

Based on an analysis of the operational control behavior of operation experts on energy-intensive equipment, this paper proposes an intelligent control method for low-carbon operation by combining mechanism analysis with deep learning, linking control and optimization with prediction, and integrating decision-making with control. This method, which consists of setpoint control, self-optimized tuning, and tracking control, ensures that the energy consumption per tonne is as low as possible, while remaining within the target range. An intelligent control system for low-carbon operation is developed by adopting the end–edge–cloud collaboration technology of the Industrial Internet. The system is successfully applied to a fused magnesium furnace and achieves remarkable results in reducing carbon emissions. 

Keywords: Energy-intensive equipment     Low-carbon operation     Intelligent control     End&ndash     edge&ndash     cloud collaboration technology    

MEACC: an energy-efficient framework for smart devices using cloud computing systems Research Articles

Khalid Alsubhi, Zuhaib Imtiaz, Ayesha Raana, M. Usman Ashraf, Babur Hayat,usman.ashraf@skt.umt.edu.pk

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 6,   Pages 809-962 doi: 10.1631/FITEE.1900198

Abstract: Rapidly increasing capacities, decreasing costs, and improvements in computational power, storage, and communication technologies have led to the development of many applications that carry increasingly large amounts of traffic on the global networking infrastructure. lead to emerging technologies and play a vital role in rapid evolution. have become a primary 24/7 need in today’s information technology world and include a wide range of supporting processing-intensive applications. Extensive use of many applications on results in increasing complexity of mobile software applications and consumption of resources at a massive level, including smart device battery power, processor, and RAM, and hinders their normal operation. Appropriate resource utilization and energy efficiency are fundamental considerations for because limited resources are sporadic and make it more difficult for users to complete their tasks. In this study we propose the model of mobile energy augmentation using (MEACC), a new framework to address the challenges of massive and inefficient resource utilization in . MEACC efficiently filters the applications to be executed on a smart device or offloaded to the cloud. Moreover, MEACC efficiently calculates the total execution cost on both the mobile and cloud sides including communication costs for any application to be offloaded. In addition, resources are monitored before making the decision to offload the application. MEACC is a promising model for load balancing and reduction in emerging environments.

Keywords: 卸载;智能设备;云计算;移动计算;能耗    

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 accidents occured frequently in refinery enterprises in China, which brings great challenges on the intrinsic safety and reliability of the equipment. Equipment reliability design/manufacturing, risk management, and monitoring and control intelligentization have become urgent engineering requirements. This study reveals the connotation of intrinsic safety & reliability and supervision intelligentization of equipment, and clarifies the development trends of reliability design/manufacturing, risk management, and monitoring and control intelligentization technologies. It also proposed corresponding countermeasures for improving the intrinsic safety and reliability and realizing supervision intelligentization of the equipment. These measures were applied to the transformation of the main fan of a catalytic unit. Results show that this type of equipment transformation is conductive to the safe operation of equipment.
 

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

Research on Active Safety Methodologies for Intelligent Railway Systems Article

Yong Qin, Zhiwei Cao, Yongfu Sun, Linlin Kou, Xuejun Zhao, Yunpeng Wu, Qinghong Liu, Mingming Wang, Limin Jia

Engineering 2023, Volume 27, Issue 8,   Pages 266-279 doi: 10.1016/j.eng.2022.06.025

Abstract:

Safety is essential when building a strong transportation system. As a key development direction in the global railway system, the intelligent railway has safety at its core, making safety a top priority while pursuing the goals of efficiency, convenience, economy, and environmental friendliness. This paper describes the state of the art and proposes a system architecture for intelligent railway systems. It also focuses on the development of railway safety technology at home and abroad, and proposes the active safety method and technology system based on advanced theoretical methods such as the in-depth integration of cyber-physical systems (CPS), data-driven models, and intelligent computing. Finally, several typical applications are demonstrated to verify the advancement and feasibility of active safety technology in intelligent railway systems.

Keywords: Intelligent railway system     Active safety methodology     Prognostics and health management     Intelligent surrounding perception     Operation and maintenance risk control    

Development Path of Offshore Drilling Equipment in China

Liu Jian

Strategic Study of CAE 2020, Volume 22, Issue 6,   Pages 40-48 doi: 10.15302/J-SSCAE-2020.06.006

Abstract:

China has made achievements in offshore drilling equipment, and it can now develop the shallow-water drilling rigs independently. However, as far as deep-water drilling equipment is concerned, there still exists a big gap between China and the international advanced level, which inevitably hinders the deep-water oilfield development in the country. To accelerate the development of China’s offshore drilling equipment, this study first analyzes the development status of the equipment in China and abroad from three aspects: shallow-water drilling machine, deep-water drilling machine, and new-type marine drilling machine; it then summarizes the development status in China and the gap between China and the international advanced level. Subsequently, it studies the key technologies for realizing the localization of the deep-water drilling equipment, and proposes corresponding countermeasures and suggestions. We propose that China should focus its efforts on making breakthroughs in the design, materials, technology, inspection, and sea test of the deep-water drilling rigs. To clarify the development path of the offshore drilling equipment, China should establish and improve the standards and specifications regarding offshore drilling rigs; develop different types of deep-water drilling equipment at different stages and by different levels; establish an integrated testing platform and a sea test base; strengthen inter-industry cooperation; develop this sector in an innovation-driven mode; and promote diversified, serial, automated, and intelligent development.

Keywords: offshore drilling rig     deep-water drilling rig     development of equipment     test     sea test    

Framework and case study of cognitive maintenance in Industry 4.0 Special Feature on Industrial Internet

Bao-rui Li, Yi Wang, Guo-hong Dai, Ke-sheng Wang,kesheng.wang@ntnu.no

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 11,   Pages 1493-1504 doi: 10.1631/FITEE.1900193

Abstract: We present a new framework for (CM) based on cyber-physical systems and advanced artificial intelligence techniques. These CM systems integrate intelligent approaches and intelligent decision-making techniques, which can be used by maintenance professionals who are working with . The systems will provide technical solutions to real-time online maintenance tasks, avoid outages due to equipment failures, and ensure the continuous and healthy operation of equipment and manufacturing assets. The implementation framework of CM consists of four modules, i.e., cyber-physical system, Internet of Things, data mining, and Internet of Services. In the data mining module, fault diagnosis and prediction are realized by methods. In the case study, the backlash error of cutting-edge machine tools is taken as an example. We use a deep belief network to predict the backlash of the machine tool, so as to predict the possible failure of the machine tool, and realize the strategy of CM. Through the case study, we discuss the significance of implementing CM for cutting- edge equipment, and the framework of CM implementation has been verified. Some CM system applications in manufacturing enterprises are summarized.

Keywords: 认知维护;工业4.0;尖端设备;深度学习;绿色监视器;智能制造工厂    

Research on concreting equipment planning of ship lift boat cab segment in Three Gorges Project

Huang Jiaquan,Ma Shaofu,Yu Yongjun

Strategic Study of CAE 2013, Volume 15, Issue 9,   Pages 59-63

Abstract:

This paper describes the selection process on concrete construction equipment of ship lift boat cab segment in Three Gorges Project in detail, including analysis on the characteristics of concrete construction in boat cab segment, selection argumentation of construction equipment at the tender stage and system adjustment and optimization of equipment selection at the construction stage. The engineering practice effect of construction equipment indicates that the concrete pouring equipment layout plan for Three Gorges Project ship lift boat cab section effectively covers all pouring surface, meeting the warehousing strength requirements in concrete pouring peak, and the construction schedule, cost, safety, can be effectively controlled. The concreting equipments of Three Gorges Project ship lift boat cab segment have been pre-rational planned, post-system adjusted and optimizated , they play an important role in the successful end of construction of Three Gorges ship lift project, and they have high promotion and application value.

Keywords: construction equipment     equipment layout     concrete pouring     boat cab     Three Gorges Project ship lift    

A Real-time Monitoring Network and Fault Diagnosis Expert System for Compressors and Pumps

Gao Jinji

Strategic Study of CAE 2001, Volume 3, Issue 9,   Pages 41-47

Abstract:

Using modern information technology and artificial intelligence to achieve the condition based maintenance and predictive maintenance is one of the important ways to reduce the production cost in the process industries. The real-time monitoring network and artificial intelligent diagnosis technology for mechanical-electric plant was outlined in this paper. The Ethernet and FDDI based real-time monitoring network developed for compressors and pumps in petrochemical plants was introduced briefly. The black-gray-white gathering diagnosis method was given for the first time on the bases of approach to fault mechanism and distinctive symptoms. The mechanical fault diagnosis expert system based on black-gray-white gathering distinguishing sieve method developed in this work yields satisfactory results in the engineering practice.

Keywords: plant diagnosis engineering     real-time monitoring network     artificial intelligent diagnosis     first reason analysis method     black-gray-white gathering     sieving method    

Handheld Ultrasound Advances Diagnosis

Sean O´Neill

Engineering 2021, Volume 7, Issue 11,   Pages 1505-1507 doi: 10.1016/j.eng.2021.09.001

Research on the Development Strategy of Medical Devices and New Wearable Devices

Cheng Jing and Xing Wanli

Strategic Study of CAE 2017, Volume 19, Issue 2,   Pages 68-71 doi: 10.15302/J-SSCAE-2017.02.011

Abstract:

China is facing great difficulties and challenges in its quest to transition from the low end to the high end of the medical devices industry. In the burgeoning field of new wearable medical devices, we are encountering many more opportunities to catch up with the leaders in the field, although challenges still exist. The Chinese Academy of Engineering recently organized a major advisory project: the National Health and Medical & Health Industry Development Strategy. Research on the Development Strategies of Medical Devices and New Wearable Medical Devices is one of the eight key subjects in this project. As a result, this paper studies and systematically analyzes the subject of research into medical devices, and the requirements, characteristics, focus, and politics of this field have been assessed. This paper reports on the results of this project regarding research into medical devices and new wearable devices. This paper includes suggestions and proposals to clarify critical issues affecting the development of wearable medical devices.

Keywords: medical devices     industry analysis     wearable devices     development strategies    

Research on the business model innovation of wind power equipment manufacturing industry in China based on industrial chain

Hu Xuhua, ,,Shi Fangyan and Xu Junjie

Strategic Study of CAE 2015, Volume 17, Issue 3,   Pages 88-95

Abstract:

From the perspective of industrial chain, the related links of wind power equipment industry in our country is analyzed, including components manufacturing, machine assembling and operation service. And the strategic pattern of business model is discussed based on PEST analysis .The concept of business model innovation design includes segment type, contraction type, integration type and extended type. Finally, the suggestions are put forward to guarantee the business model innovation of wind power equipment industry in our country.

Keywords: wind power equipment manufacturing industry; business model innovation; industrial chain;PEST analysis    

Research on integration method for facility automation system in protective engineering

Miao Xiaoping,Peng Fusheng,Geng Shibin,Fan Liangkai,Jiang Feng

Strategic Study of CAE 2013, Volume 15, Issue 5,   Pages 84-94

Abstract:

This paper points out the main issue of our building automation system is that the system has been integrated as weak current, which leads to be incompatibility between automation system and facility. It analyses the integration objectives, phrasing and evaluation criterion of facility automation system, and proposes the integration method about automation system and facility system in protective engineering, which aimed at the function of system, enhanced the coordination between automation system and facility system in all aspects of design, construction, programming and debugging, and even the development stage of product and management strategies.

Keywords: protective engineering     facility automation system     system integration    

Title Author Date Type Operation

Intelligent Manufacturing of Special Equipment Based on Intelligent Connection

Liu Sanjiang, Chen Zuzhi, Shi Kun, Li Guanghai

Journal Article

Intelligent Development of Intelligent Marine Equipment in China

Tang Min, Li Feng, Zeng Li, Hua Lin

Journal Article

Shrinking Medical Devices Get Smarter Too

Chris Palmer

Journal Article

An Intelligent Control Method for the Low-Carbon Operation of Energy-Intensive Equipment

Tianyou Chai, Mingyu Li, Zheng Zhou, Siyu Cheng, Yao Jia, Zhiwei Wu

Journal Article

MEACC: an energy-efficient framework for smart devices using cloud computing systems

Khalid Alsubhi, Zuhaib Imtiaz, Ayesha Raana, M. Usman Ashraf, Babur Hayat,usman.ashraf@skt.umt.edu.pk

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

Research on Active Safety Methodologies for Intelligent Railway Systems

Yong Qin, Zhiwei Cao, Yongfu Sun, Linlin Kou, Xuejun Zhao, Yunpeng Wu, Qinghong Liu, Mingming Wang, Limin Jia

Journal Article

Development Path of Offshore Drilling Equipment in China

Liu Jian

Journal Article

Framework and case study of cognitive maintenance in Industry 4.0

Bao-rui Li, Yi Wang, Guo-hong Dai, Ke-sheng Wang,kesheng.wang@ntnu.no

Journal Article

Research on concreting equipment planning of ship lift boat cab segment in Three Gorges Project

Huang Jiaquan,Ma Shaofu,Yu Yongjun

Journal Article

A Real-time Monitoring Network and Fault Diagnosis Expert System for Compressors and Pumps

Gao Jinji

Journal Article

Handheld Ultrasound Advances Diagnosis

Sean O´Neill

Journal Article

Research on the Development Strategy of Medical Devices and New Wearable Devices

Cheng Jing and Xing Wanli

Journal Article

Research on the business model innovation of wind power equipment manufacturing industry in China based on industrial chain

Hu Xuhua, ,,Shi Fangyan and Xu Junjie

Journal Article

Research on integration method for facility automation system in protective engineering

Miao Xiaoping,Peng Fusheng,Geng Shibin,Fan Liangkai,Jiang Feng

Journal Article