Evaluation and of University Building Design Effect Based on Multisensor Perception and Data Security

Abstract

The development of the smart cities with new and integrated information and communication technologies has changed the traditional industries’ processes. One of the domains is construction industry which plays an important supporting role for the economic development of a country, but at the same time, the construction industry is also an industry with high energy consumption and high pollution. Therefore, in order to alleviate the contradiction between economic development and resources and the environment, the construction industry must achieve sustainable development and take the road of green construction. In order to carry out the evaluation of the design effect of colleges and universities, this paper introduces the multisensor perception and fuzzy comprehensive evaluation methods. First, through the design and analysis of the sensor perception system used in the building environment, the collection, acquisition, analysis, and processing of complex information of heterogeneous multiterminals are obtained. Secondly, cluster analysis and genetic algorithms are used in the processing and analysis process of building multiterminal sensor data. The security aspect is also taking into account to design the methods. The system test verifies the performance of the university building design effect evaluation model, which can provide a reference for the sustainable development of the construction industry.

Risk Assessment of Green Intelligent Building Based on Artificial Intelligence

“…In order to make people's lives in the city more scienti c and e cient, and the living environment better, we need to vigorously develop green smart buildings [1][2][3]. Green smart buildings can protect the environment, reduce carbon emissions, and improve people's lives e ciency, which greatly facilitates people's lives [4][5][6].…”