2019
DOI: 10.1016/j.procir.2019.04.095
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Digital twin-driven carbon emission prediction and low-carbon control of intelligent manufacturing job-shop

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Cited by 44 publications
(22 citation statements)
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“…In addition, the continuous improvement of broadband infrastructure lays a hardware foundation for digital transformation, which can drive the improvement of intelligent manufacturing infrastructure and promote green and low-carbon development. For example, intelligent manufacturing workshop can realize carbon emission prediction and low-carbon control based on digital data fusion drive [ 56 ]. On the other hand, “Broadband China” has accelerated the development of China’s telecommunications infrastructure, brought new vitality to economic development under the influence of the epidemic, and may play a role in the green development of all industries [ 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 ].…”
Section: Research Hypothesesmentioning
confidence: 99%
See 1 more Smart Citation
“…In addition, the continuous improvement of broadband infrastructure lays a hardware foundation for digital transformation, which can drive the improvement of intelligent manufacturing infrastructure and promote green and low-carbon development. For example, intelligent manufacturing workshop can realize carbon emission prediction and low-carbon control based on digital data fusion drive [ 56 ]. On the other hand, “Broadband China” has accelerated the development of China’s telecommunications infrastructure, brought new vitality to economic development under the influence of the epidemic, and may play a role in the green development of all industries [ 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 ].…”
Section: Research Hypothesesmentioning
confidence: 99%
“…For example, intelligent manufacturing workshop can realize carbon emission prediction and low-carbon control based on digital data fusion drive [ 56 ]. On the other hand, “Broadband China” has accelerated the development of China’s telecommunications infrastructure, brought new vitality to economic development under the influence of the epidemic, and may play a role in the green development of all industries [ 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 ]. At the same time, the network infrastructure brought by “broadband China” plays an important role in accelerating the flow of innovation elements, reducing the spatial barriers of information transmission [ 58 ], promoting the application of innovative technologies [ 59 ], and promoting the realization of regional technological innovation development.…”
Section: Research Hypothesesmentioning
confidence: 99%
“…Three types of process faults, i.e., sensor faults, actuator faults and process disturbances were investigated and the corresponding fault size and temporal behaviour were discussed. All simulation studies and numerical results indicated that the proposed configurations are valid for safe operations in the event of a process fault Zhang et al (2019) [6]. described the use of a Digital Twin for carbon emission reduction in intelligent manufacturing.…”
mentioning
confidence: 93%
“…Initial approaches for the application of Digital Twins as a tool for control strategy development have been successfully established in the chemical industry [4][5][6][7]. Due to the recognised potential, the application of Digital Twins as a tool for the development of control strategies is also gaining increasing interest for bioprocesses.…”
mentioning
confidence: 99%
“…It is increasingly applied in more and more areas, such as smart manufacturing, building management, smart city, healthcare, oil & gas, and many more. Paper [5]provides insights into technological clustering, improvement strategies, as well as workforce safety, which can benefit from formulating effective digital technology paradigms.Zhang, CY [6]proposed a digital twin-driven carbon emission prediction and low-carbon control of intelligent manufacturing job-shop in order to realize the carbon emission reduction in intelligent manufacturing workshop.Paper [7]presents a digital twin-driven manufacturing cyber-physical system (MCPS) for parallel controlling of smart workshop under mass individualization paradigm. Paper [8]provides a vision for a Digital Twin paradigm to enable interdisciplinary convergence in the field of ICT and AI for disaster response and emergency management.…”
Section: Introductionmentioning
confidence: 99%