Author(s)

Qisen Zhou, Zhongguang Sun and Yong Li

Corresponding Author

Qisen Zhou

ABSTRACT

Aiming at the low efficiency of the Big data query of the internet of Things, the research based on the smart urban management platform, and on the premise of retaining the original platform data integration framework. The query model and process are redesigned and a new data improved query model is proposed by introducing hash coding, distributed index and data dictionary. Compared with the one by one comparison query method, the speed of the improved query model is increased by 106 times when processing millions of data, which significant improves the query efficiency of big data. The research results can help improve the data processing and analysis ability of Chongqing Liangjiang Smart Urban Management Platform in China

KEYWORDS

Smart urban management platform, the Internet of things, distributed hash index, data dictionary, hash bucket