The Promotion of Rural Lodging Development by a Comprehensive Evaluation Model of Artificial Intelligence Based on Wireless Network

Abstract

Intelligent scenic planning and management attempt to take advantage of the discipline in the field of artificial intelligence, to explore new roles and models for planning and decision making with the help of machine learning in academic research and to build a complete scenic intelligent management system. Labour costs and energy costs account for a large share of the operating costs of B&Bs. In order to increase revenue while reducing costs and energy losses, this paper designs an unattended intelligent management system for B&Bs. Based on data mining technology, a large amount of B&B operation data is obtained using a crawler program to provide reference to assist B&B business owners in decision making; using wireless RFID technology, the RSSI value of the corresponding tag is read by a reader to detect changes in the location of the human body, making check-in and check-out management more efficient; the driving circuits of lighting, curtains, and air conditioners are controlled by an STM32 control module.