Matching Technology of Internet of Things Based on Multiple Linear Regression Model in Urban Management

Abstract

The acceleration of urbanization leads to higher standards and requirements for Internet of Things matching technology. Based on this, the matching technology of Internet of things based on multiple linear regression model in urban management is put forward. Data in the Internet of Things are processed accurately. Wireless sensors with optimal functions are selected, and mathematical models are established and solved. Through experimental demonstration, it is concluded that the Internet of Things matching technology based on multiple linear regression model greatly reduces the cost of urban management.