Research on smart surveillance system of Internet of Things of straw recycling process based on optimizing genetic algorithm

Issue title: Special Section: Fuzzy theoretical model analysis for signal processing

Guest editors: Valentina E. Balas, Jer Lang Hong, Jason Gu and Tsung-Chih Lin

Article type: Research Article

Authors: Mao, Jia^{a; *} | Liu, Ruiping^a | Zhang, Xiuzhi^b

Affiliations: [a] School of Transportation, Jilin University, Changchun, Jilin, China | [b] Institute of Mechanical Science and Engineering, Jilin University, Changchun, Jilin, China

Correspondence: [*] Corresponding author. Jia Mao, School of Transportation, Jilin University, No. 5988 Renmin Street, Changchun, Jilin, China. E-mail: [email protected].

Abstract: There are many optional basic frameworks of the Internet of Things, which result in high energy consumption for Internet of Things monitoring platform of straw recycling, and cannot improve the thermal energy conversion rate of the straw recycling monitoring system effectively. Thus, the design is based on smart surveillance system of Internet of things of straw recycling process. The WMNBM14s chip and the STM32F103 chip are used in the basic frame of Internet of things to collect and process the straw recycling data in the monitoring system, and obtain the data processing result of the straw recycling process. The data processing result of the straw recycling process is transmitted to Internet of Things Control Terminal through the BCM43362 wireless chip. The experimental results show that the designed platform has low energy consumption and can improve the thermal energy conversion rate of the straw recovery system.

Keywords: Genetic algorithm, straw recycling process, Internet of Things monitoring system, BCM43362

DOI: 10.3233/JIFS-179306

Journal: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 4, pp. 4717-4723, 2019