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Issue title: Artificial Intelligence as a maturing and growing technology: An urgent need for intelligent systems
Guest editors: X. Yuan and M. Elhoseny
Article type: Research Article
Authors: Li, Xiaowena | Li, Jianweib; * | Liu, Chengc | Chen, Chuanbinc
Affiliations: [a] College of Mathematics and Information Engineering, Longyan University, Fujian, China | [b] College of Physics and Information Engineering, Fuzhou University, Fujian, China | [c] Shuikou Power Generation Group Co., Ltd, Fujian, China
Correspondence: [*] Corresponding author. Jianwei Li, College of Physics and Information Engineering, Fuzhou University, Fujian 350116, China. E-mail: lwticq@163.com.
Abstract: The tailings dam safety monitoring system is a system that plays an important role in disaster prevention and reduction. This paper divides the whole network of mine dam safety monitoring systems into two parts, that is, the basic wireless network and GPRS network from the gateway to the monitoring center. First, it’s the hardware of the design module, the network is divided into uplink communication and downlink communication, uplink communication is to upload the dam data collected by the terminal node to the gateway through the network. Downlink communication is the instruction sent by the gateway to the monitoring center, send to terminal nodes through data conversion between protocols. Secondly, the gateway also needs to solve the data conversion between the network and GPRS network protocol, so that the entire security monitoring system can communicate accurately. The communication between gateway and monitoring center is realized through the GPRS network, this requires adding the GPRS communication module to the gateway module. To increase the diversity of communications, communication between GSM short message communication methods and monitoring centers has also increased. The experimental results prove that the system in this paper can be applied to the mine dam safety monitoring system, meet the design requirements.
Keywords: Internet of things, safety monitoring, wireless sensor networks, tailing dam
DOI: 10.3233/JIFS-189339
Journal: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3005-3014, 2021
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