The Optimal Deploy Method of Multi Redundancy FPGA Gateway Design
Changjian Deng1, Yaozhong Zhang2
1Changjian Deng, Associate Professor, School of Automation, Chengdu University of Information Technology, Chengdu, China.
2Yaozhong Zhang, Student, School of Automation, Chengdu University of Information Technology, Chengdu, China.
Manuscript received on 12 February 2025 | First Revised Manuscript received on 17 February 2025 | Second Revised Manuscript received on 25 March 2025 | Manuscript Accepted on 15 April 2025 | Manuscript published on 30 April 2025 | PP: 20-27 | Volume-14 Issue-5, April 2025 | Retrieval Number: 100.1/ijitee.D106614040325 | DOI: 10.35940/ijitee.D1066.14050425
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Prevention of geological disasters is essential in highaltitude or semi-high mountain plateaus and hilly areas. To monitor disasters, the manuscript presents a design method for a distributed redundancy FPGA (Field Programmable Gate Array) gateway. This gateway can test a series of parameters to estimate the likelihood of geological disasters. However, detecting geological disasters is a complex task, as the test fields are located at different monitoring sites, and each site has unique environmental conditions. Meanwhile, the same type of monitoring parameters should be monitored in more than two places, and the location may change, resulting in the problem of distributed redundant monitoring. There are three types of monitoring actors: active detection, auxiliary detection, and redundancy. And these actors can transform one into another. To achieve a balance between communication resources and the effective detection of geological disasters, the design of a distributed redundancy gateway should be dynamically deployed based on changes in environmental and detection conditions. The article employs a redundant gateway design utilising multiple FPGAs in hardware and implements a distributed, redundant decision-making method in software. It uses a wireless redundancy decision-making optimization method, and gives a design example for ‘the atomic cloud’ application of infrasound monitoring.
Keywords: Redundancy; Optimization; Distributed Gateway; Geological Disasters.
Scope of the Article: Information Technology