Journal of Ambient Intelligence and Humanized Computing | 2021

Low power consumption and reliability of wireless communication network in intelligent parking system

 

Abstract


With the rapid increase in the number of vehicles in our country, parking and parking management are becoming more and more difficult. Use information technology to improve the use of parking spaces and improve the efficiency of parking management, it is an effective way to alleviate the parking problem. In 2015, the research on Internet\u2009+\u2009parking accelerated rapidly in China. And various intelligent parking system models are introduced. Firstly, the parking conditions at home and abroad are studied, and the existing parking systems are analyzed. It is found that the current parking system can hardly be used in public parking areas such as residential areas, roadside and square. In order to solve the core part of intelligent parking system in public parking IoT Low energy consumption parking space control. Using new detection technology, parking lock control technology, wireless sensor network technology, solar charging technology, power management technology. Parking space detection module, parking lock control module and wireless sensor network module and power control management module with additional solar charging are designed. There are three problems specifically for intelligent parking in public parking lots: parking detection and automatic control, low-energy wireless signal transmission, efficient power management, effectively improve the performance of intelligent parking system and reduce energy consumption. This paper uses advanced wireless technology to construct and design intelligent parking system. Through the research on the development and management characteristics and application examples of intelligent transportation in developed countries such as Europe and America, based on China s basic national conditions and advanced wireless communication technology, radio frequency technology and computer technology research, establish an integrated system. Finally, the performance and power consumption of the intelligent parking system are tested, to ensure the feasibility of the system, this kind of system has certain application value in the scenario of resource sharing and intelligent management of public parking spaces.

Volume 12
Pages 1305-1313
DOI 10.1007/s12652-020-02183-9
Language English
Journal Journal of Ambient Intelligence and Humanized Computing

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