The integration of smart grids in super high-rise buildings offers significant potential for optimizing renewable energy utilization. However, various barriers hinder successful implementation. This paper aims to identify and analyze these barriers through a structured questionnaire distributed to industry experts. The study presents the findings from the collected data, highlighting the major challenges and their respective weights in the context of smart grid integration in super high-rise buildings. The results aim to inform stakeholders and guide future efforts in overcoming these barriers to promote sustainable energy solutions.
KEYWORDS: Buildings, Internet of things, Artificial intelligence, Energy efficiency, Analytical research, Sustainability, Data modeling, Quality management, Distortion, Humidity
This research explores the integration of Artificial Intelligence (AI) and the Internet of Things (IoT) to enhance energy efficiency and power quality management in prefabricated intelligent buildings. The study examines the potential benefits of leveraging advanced technologies in monitoring, controlling, and optimizing energy consumption and power quality. By implementing AI-driven algorithms and IoT-enabled devices, this research aims to provide a framework for sustainable building management, highlighting significant improvements in energy conservation, cost reduction, and overall building performance.
With economic globalisation and the implementation of the "the Belt and Road" initiative, Chinese enterprises are expanding their business overseas at a faster pace. However, some overseas underdeveloped areas have weak communication infrastructure, insufficient signal coverage, poor network rate and other problems, which leads to constraints on the information management ability of Chinese enterprises' overseas projects, and even poses a potential threat to the safety of the employees stationed abroad, and may lead to emergency situations that can not be known and dealt with in a timely manner due to the lack of smooth information. This paper takes Pakistan, an important pivot country along the "Belt and Road", as the main research object, and designs a system combining hardware and software to address the problem of unstable network of a single operator. The system builds a local traffic resource pool through a cloud SIM Bank, uses dedicated Mobile WIFI Equipment to intelligently match SIM cards with operators, and cooperates with vSIM remote scheduling management and mobility load balancing mechanism to provide more stable and high-quality operator network connection for users. The results of local field tests show that this technology can significantly improve network quality and enhance network connection stability under the existing communication infrastructure conditions. This research result has important practical value for improving the environment for Chinese enterprises to expand their business overseas and enhancing the information management capability of overseas projects.
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