Liu Yang, Shukai Xie, Luofeng Jiang, Chuan Li, Xing Zhu
{"title":"地质灾害双核协同计算网关设计","authors":"Liu Yang, Shukai Xie, Luofeng Jiang, Chuan Li, Xing Zhu","doi":"10.1109/IAEAC54830.2022.9929932","DOIUrl":null,"url":null,"abstract":"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%.","PeriodicalId":349113,"journal":{"name":"2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC )","volume":"70 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Design of Dual-core Collaborative Computing Gateway for Geological Hazards\",\"authors\":\"Liu Yang, Shukai Xie, Luofeng Jiang, Chuan Li, Xing Zhu\",\"doi\":\"10.1109/IAEAC54830.2022.9929932\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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%.\",\"PeriodicalId\":349113,\"journal\":{\"name\":\"2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC )\",\"volume\":\"70 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC )\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IAEAC54830.2022.9929932\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC )","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IAEAC54830.2022.9929932","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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%.