Paper
10 August 2023 Research on verdant structure scheme administration under CPS technology
Jiabao Zhu
Author Affiliations +
Proceedings Volume 12759, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2023); 127593R (2023) https://doi.org/10.1117/12.2686590
Event: 2023 3rd International Conference on Automation Control, Algorithm and Intelligent Bionics (ACAIB 2023), 2023, Xiamen, China
Abstract
The construction industry, a major contributor to domestic carbon emissions, has great potential for energy preservation and emission decrease, as the country has put forward a goal of "carbon peak and carbon neutrality." Therefore, it is necessary to establish a structure carbon emission monitoring system based on CPS technology to achieve small carbon administration and provide scientific administration strategies. A genetic algorithm is used to create a multi-objective optimization arithmetical model of "duration-cost-carbon emission-construction quality" and the optimal construction administration strategy is then attained. This system will be composed of a CPS sensing covering, a network covering, and a control covering to gather, transmit, analyze, and give feedback on the carbon emission data of the construction area, thus permit for true-time monitoring of carbon emissions. The goal of verdant structure scheme administration can be effectively accomplished through visualizing carbon emissions. The CPS technology-based carbon emission monitoring system will enable true-time monitoring and early warning of carbon emissions during construction, there fulfilling the national demand for "carbon peak and carbon neutrality".
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jiabao Zhu "Research on verdant structure scheme administration under CPS technology", Proc. SPIE 12759, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2023), 127593R (10 August 2023); https://doi.org/10.1117/12.2686590
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KEYWORDS
Carbon

Sensors

Computing systems

Engineering

Power consumption

Control systems

Data modeling

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