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- W4386474881 abstract "The feasible way to promote the transformation and upgrading of the construction industry is to vigorously develop the construction industry Internet to reduce capacity and cost. Smart life has brought a lot of convenience to people, and the construction of smart city needs more and more technical and skilled management talents who master the installation, debugging, operation and maintenance of modern intelligent equipment. With the maturity and gradual application of cloud computing, Internet of Things and GIS technologies, building intelligent operation and maintenance based on data link and big data analysis will usher in huge development opportunities. The energy consumption prediction model of large public buildings is analyzed by using GA algorithm to optimize the weights and thresholds of BPNN, and the validity of the model is verified by an example. Therefore, it is a new development trend in the field of architecture to use data mining technology to mine relevant information and provide reference for the prediction of electricity consumption of large public buildings. In order to ensure the efficiency and quality of the system, more and more basic equipment and information systems of all kinds of production and operation need to be strengthened daily. Therefore, more and more operation and maintenance management software and platform construction are emerging in the market." @default.
- W4386474881 created "2023-09-07" @default.
- W4386474881 creator A5062684619 @default.
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- W4386474881 date "2023-05-01" @default.
- W4386474881 modified "2023-09-27" @default.
- W4386474881 title "Industrial Internet Architecture Design for Intelligent Construction and Operation of Public Buildings Based on BP Algorithm" @default.
- W4386474881 doi "https://doi.org/10.1109/icnetic59568.2023.00060" @default.
- W4386474881 hasPublicationYear "2023" @default.
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