地质灾害双核协同计算网关设计

Liu Yang, Shukai Xie, Luofeng Jiang, Chuan Li, Xing Zhu
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引用次数: 0

摘要

以往的地质灾害监测网关往往侧重于数据的接收和传输,即将传感器终端的数据流尽可能多地发送到云服务器。然而,随着地质灾害监测点传感器终端种类和数量的增加,这种海量的数据传输方式已经不能满足地质灾害监测的需要。为此,开发了一个双核地质灾害协同计算网关。在以往地质灾害监测网络拓扑的基础上,设计了一种MCU与4G Cat1通信模块协同计算的方法,将MCU接收到的实时数据流传输到4G Cat1模块,实现数学模型实现、数据预警等复杂计算。此外,这种方式可以减少设备到云服务器的数据流量,减轻服务器的数据处理压力。实验结果表明,与以往的地质灾害监测网关相比,采用树莓派3B的网关数据传输量减少约81%,功耗降低约30.6%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of Dual-core Collaborative Computing Gateway for Geological Hazards
The previous gateway for monitoring geological hazards often focuses on receiving and transmitting data, which means sending the data stream from sensor terminals to the cloud server as much as possible. However, with the increase in the types and number of sensor terminals in geological hazard monitoring sites, such a massive data transmission mode cannot meet the needs of monitoring geological hazards. Therefore, a dual-core collaborative computing gateway for geological hazards is developed. Based on the previous network topology of monitoring geological hazards, a collaborative computing method of MCU and 4G Cat1 communication module is designed to transmit the real-time data stream received by MCU to the 4G Cat1 module, realizing complex calculations, such as mathematical model implementation and data early warning. In addition, this method can reduce the data traffic from the device to the cloud server and relieve the pressure on the server's data processing. The experimental results show that compared with the previous geological hazards monitoring gateway, the data transmission volume is reduced by about 81%, and the power consumption of the gateway using Raspberry Pi 3B is reduced by about 30.6%.
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