Price: $71.99
(as of Nov 23,2024 03:17:12 UTC – Details)

Publisher ‏ : ‎ CRC Press; 1st edition (November 29, 2024)
Language ‏ : ‎ English
Paperback ‏ : ‎ 216 pages
ISBN-10 ‏ : ‎ 1032136286
ISBN-13 ‏ : ‎ 978-1032136288
Item Weight ‏ : ‎ 12 ounces
Dimensions ‏ : ‎ 6.14 x 0.51 x 9.21 inches

Cognitive Digital Twins for Smart Lifecycle Management of Built Environment and Infrastructure: Challenges, Opportunities and Practices

In today’s rapidly evolving digital landscape, the concept of Cognitive Digital Twins is revolutionizing the way we manage and optimize the built environment and infrastructure. By creating digital replicas of physical assets and integrating them with artificial intelligence and machine learning capabilities, organizations can gain valuable insights, make data-driven decisions, and improve operational efficiency throughout the entire lifecycle of their assets.

However, implementing Cognitive Digital Twins comes with its own set of challenges. From data integration and interoperability issues to ensuring data security and privacy, organizations must navigate various obstacles to successfully leverage this technology. Additionally, there is a need for skilled professionals who can develop and maintain these complex systems, as well as a mindset shift towards embracing digital transformation in the industry.

Despite these challenges, the opportunities that Cognitive Digital Twins present are vast. By harnessing the power of real-time data analytics, predictive maintenance, and virtual simulations, organizations can optimize asset performance, reduce downtime, and ultimately save costs. Furthermore, with the increasing focus on sustainability and resilience in the built environment, Cognitive Digital Twins can help organizations monitor and manage their assets in a more sustainable and efficient manner.

To successfully implement Cognitive Digital Twins for smart lifecycle management of built environment and infrastructure, organizations must adopt best practices and strategies. This includes investing in robust data management systems, fostering a culture of innovation and collaboration, and continuously updating and improving their digital twin models. By doing so, organizations can unlock the full potential of this transformative technology and drive positive outcomes for both their assets and the environment.

In conclusion, Cognitive Digital Twins offer a powerful tool for organizations to enhance the management and performance of their built environment and infrastructure. While there are challenges to overcome, the opportunities for improved efficiency, sustainability, and resilience are too significant to ignore. By embracing this technology and adopting best practices, organizations can unlock the full potential of Cognitive Digital Twins and pave the way for a smarter, more sustainable future.
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