Application of Multi-Data Fusion Technology in Intelligent Design of Urban Environment

Abstract

This paper adopts multi-data fusion technology to design urban environmental intelligence. First, store the information collected by the reader communication module and receive and analyze the urban environmental monitoring data sent by the handheld RF reader. Secondly, calculate the mean value of environmental data by weighted average, summarize the sample information by combining it with Bayesian estimation, and fuse the values of the multi-sensor data. Finally, D-S evidence inference is utilized to expand Bayes and enhance the degree of trust in the focal element. The results show that the utilization value of multi-data fusion technology can reach 1000, with the growth of time, the public urban environment concern reaches 900 times, the level of intelligent design of the urban environment is improved faster, and the overall effect is good.

Keywords

• multiple data fusion techniques
• urban environment
• intelligent design
• weighted average
• d-s evidence
• 65d17