Digital Twin-Driven Performance Optimization for Hazardous Waste Landfill Systems

Wu, Yonghui; Li, Yiwen

doi:10.1155/2022/7778952

Cited by 4 publications

(4 citation statements)

References 20 publications

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“…Digital twins enable the construction of a “core” model that represents commonly shared features in a biological system, which can be extended and customized with additional parameters and personalized using data from an individual subject [ 29 , 48 ]. Modules combining plug-and-play methods, such as the Python-based architecture, ease the collaboration between centers to improve the datasets used and support interactions between several resources [ 36 , 49 ].…”

Section: Using Digital Twin Systems In Biologymentioning

confidence: 99%

Using Constrained-Disorder Principle-Based Systems to Improve the Performance of Digital Twins in Biological Systems

Sigawi

Ilan

2023

Biomimetics

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Digital twins are computer programs that use real-world data to create simulations that predict the performance of processes, products, and systems. Digital twins may integrate artificial intelligence to improve their outputs. Models for dealing with uncertainties and noise are used to improve the accuracy of digital twins. Most currently used systems aim to reduce noise to improve their outputs. Nevertheless, biological systems are characterized by inherent variability, which is necessary for their proper function. The constrained-disorder principle defines living systems as having a disorder as part of their existence and proper operation while kept within dynamic boundaries. In the present paper, we review the role of noise in complex systems and its use in bioengineering. We describe the use of digital twins for medical applications and current methods for dealing with noise and uncertainties in modeling. The paper presents methods to improve the accuracy and effectiveness of digital twin systems by continuously implementing variability signatures while simultaneously reducing unwanted noise in their inputs and outputs. Accounting for the noisy internal and external environments of complex biological systems is necessary for the future design of improved, more accurate digital twins.

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Section: Using Digital Twin Systems In Biologymentioning

confidence: 99%

Using Constrained-Disorder Principle-Based Systems to Improve the Performance of Digital Twins in Biological Systems

Sigawi

Ilan

2023

Biomimetics

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“…When waste cannot be eliminated or reused, it must be managed. Wu and Li (2022) created a digital model of a hazardous waste landfill system. Their digital twin was fed by real-time data from the automated guided vehicle sensors and other environmental sensors that enable the system to identify the best driving path.…”

Section: Waste Managementmentioning

confidence: 99%

Conceptual application of digital twins to meet ESG targets in the mining industry

Cranford

2023

Front. Ind. Eng.

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Environmental, social, and governance (ESG) focus continues to gain traction in the mining industry through publicly made policies, promises, and commitments. In 2022, both ESG and technological investments were identified in the top trends by Deloitte and in the top risks and opportunities by Ernst and Young. As the first step in the value chain, the mining industry sets the foundation for most industries in meeting their ESG targets. Beyond providing sustainable materials, the mining industry is required to produce the critical minerals needed for the creation of sustainable technologies. With an ongoing debate on how ESG factors should be measured and inconsistent reporting between mining companies, there remains a gap in consistent and auditable progress in ESG reporting. This study evaluates the application of a digital twin technology to bridge the gap in ESG reporting. By examining the use of digital twin technology through thirty case studies and theoretical applications across industries that share commonalities with mining, this study analyzes the opportunity to apply the technology to the mining industry. The research found that digital twin technology can be applied across all mining project phases and can provide added value to improve multiple ESG factors and measure them. Though the research identifies that there are benefits from the application of digital twin technology to all project phases, and across all three ESG dimensions, there remains challenges to implementation. Successful implementation of digital twin technology will require the right people with the right capabilities. Though suggested that the mining industry should let other industries stabilize the digital twin market due to their history and substantial investment in data systems, it is arguable through literature, case studies and leading mining companies’ investments in precursor technologies to digital twins, that solutions are available and scalable, and the time to wait is over.

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“…Additionally, Cherniaev displayed digital technologies and their benefits that have been incorporated into the exploration, production, and transportation of oil and gas products in Russia [20]. Extending to hazardous waste process, Yonghui Wu aimed to solve the multiunit linkage optimization problem under the framework of DT technology [21]. Yan Gao summarized the DT application in transportation infrastructure: railway, highway system, bridge and tunnel, pointing out the drawbacks at the same time [22].…”

Section: Applicability Of Dt In the Safety Of Hazardous Chemicalsmentioning

confidence: 99%

“…The cameras distributed in the station provide richer supplementary information for the system to help build the DT system. [21]. Yan Gao summarized the DT application in transportation infrastructure: railway, highway system, bridge and tunnel, pointing out the drawbacks at the same time [22].…”

Section: Applicability Of Dt In the Safety Of Hazardous Chemicalsmentioning

confidence: 99%

Application of Digital Twin in Handling and Transportation of Hazardous Chemicals

Li¹,

Zhang²,

Li³

et al. 2022

Applied Sciences

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In China, the Ministry of Transport stressed the need to “Strengthen the application of active safety technology”. The transportation of hazardous chemicals represented by LNG, LPG, and liquefied hydrocarbons is the weak link in traffic safety. The aim of this study is to apply digital twin (hereinafter referred to as DT) technology to the whole process of handling (including loading and unloading) and transportation of hazardous chemicals to help improve the anti-risk ability of road networks at all levels. The method is intended to design a monitoring system covering operation visualization, information fusion, cargo tracking, and hazard source monitoring that is based on DT technology and multi-source data acquisition technology. First, DT technology in the areas of hazardous chemicals handling and transportation is discussed. Then, the DT system is designed, including the system construction, functions, and the means of achieving these functions. Finally, taking the procedure in LNG road transportation as an example, we illustrate the application of DT in its four stages. This system is used to present the evolutionary path of accidents that occur in different links and assist in testing the rationality of the comprehensive disposal plan.

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Digital Twin-Driven Performance Optimization for Hazardous Waste Landfill Systems

Cited by 4 publications

References 20 publications

Using Constrained-Disorder Principle-Based Systems to Improve the Performance of Digital Twins in Biological Systems

Using Constrained-Disorder Principle-Based Systems to Improve the Performance of Digital Twins in Biological Systems

Conceptual application of digital twins to meet ESG targets in the mining industry

Application of Digital Twin in Handling and Transportation of Hazardous Chemicals

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