Open AccessRealization of Smart Home Information System with High-accuracy Data Import Based on Big Data
Author(s) -
Gang Li
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1533/3/032097
Subject(s) - big data , computer science , realization (probability) , scheme (mathematics) , preprocessor , data pre processing , reliability (semiconductor) , internet of things , data mining , home automation , real time computing , database , embedded system , artificial intelligence , telecommunications , mathematical analysis , power (physics) , statistics , physics , mathematics , quantum mechanics
To solve the problem of low data import accuracy of intelligent Internet of Things (IoT) information system in the existing smart home application scenarios, this article develops a scheme of smart home information system based on big data with high-accuracy data import. The scheme is based on the system architecture, combined with the related hardware system of smart home, which can successfully complete the accurate import and stable data preprocessing of a large number of data Manage and classify data. By comparing the existing smart home data import performance, big data simulation and comparative experiments are carried out. The experimental results show that the smart home information system can ensure the accuracy and reliability of information import when importing a large number of data. The validity of the scheme is verified. The smart home information system realized by the scheme can operate accurately and reliably in the big data environment, which also shows that the scheme can be extended to the whole society.