{"title":"智慧城市的节能智能照明系统","authors":"Munesh Singh, Suyash Saxena, Alok R. Prusty","doi":"10.1109/IATMSI56455.2022.10119268","DOIUrl":null,"url":null,"abstract":"Smart cities are equipped with a modern techno-logical infrastructure that maximizes user comfort with minimal harm to nature. However, to drive the modernized infrastructure, we need energy-efficient policies. In a modernized smart city, streetlights consume lots of power to light the streets. There is a significant need for an intelligent lighting system that can automatically switch the lighting needs according to the types of objects. The proposed smart street light system is equipped with an LDR sensor system to monitor the ambient light intensity and operate the street light. LDR also locate the fault in the street light using the light intensity threshold. A master pole communicates with the slave poles using Zigbee. The master pole controls the light intensity at the slave pole whenever a vehicle is detected. A ferromagnetic sensor underneath the road monitors the metallic vehicles. We have deployed two ferromagnetic sensors one meter apart to expand the intelligence of vehicle classification, speed, and length. We have designed an experimental setup using commodity sensors to validate the intelligent lighting system. From the experimental results, we have obtained 95% accuracy for vehicle classification and 20% energy-saving with 50 watts LED lighting system.","PeriodicalId":221211,"journal":{"name":"2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Energy Efficient Intelligent Lighting System For Smart Cities\",\"authors\":\"Munesh Singh, Suyash Saxena, Alok R. Prusty\",\"doi\":\"10.1109/IATMSI56455.2022.10119268\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Smart cities are equipped with a modern techno-logical infrastructure that maximizes user comfort with minimal harm to nature. However, to drive the modernized infrastructure, we need energy-efficient policies. In a modernized smart city, streetlights consume lots of power to light the streets. There is a significant need for an intelligent lighting system that can automatically switch the lighting needs according to the types of objects. The proposed smart street light system is equipped with an LDR sensor system to monitor the ambient light intensity and operate the street light. LDR also locate the fault in the street light using the light intensity threshold. A master pole communicates with the slave poles using Zigbee. The master pole controls the light intensity at the slave pole whenever a vehicle is detected. A ferromagnetic sensor underneath the road monitors the metallic vehicles. We have deployed two ferromagnetic sensors one meter apart to expand the intelligence of vehicle classification, speed, and length. We have designed an experimental setup using commodity sensors to validate the intelligent lighting system. From the experimental results, we have obtained 95% accuracy for vehicle classification and 20% energy-saving with 50 watts LED lighting system.\",\"PeriodicalId\":221211,\"journal\":{\"name\":\"2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)\",\"volume\":\"51 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IATMSI56455.2022.10119268\",\"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 Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IATMSI56455.2022.10119268","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Energy Efficient Intelligent Lighting System For Smart Cities
Smart cities are equipped with a modern techno-logical infrastructure that maximizes user comfort with minimal harm to nature. However, to drive the modernized infrastructure, we need energy-efficient policies. In a modernized smart city, streetlights consume lots of power to light the streets. There is a significant need for an intelligent lighting system that can automatically switch the lighting needs according to the types of objects. The proposed smart street light system is equipped with an LDR sensor system to monitor the ambient light intensity and operate the street light. LDR also locate the fault in the street light using the light intensity threshold. A master pole communicates with the slave poles using Zigbee. The master pole controls the light intensity at the slave pole whenever a vehicle is detected. A ferromagnetic sensor underneath the road monitors the metallic vehicles. We have deployed two ferromagnetic sensors one meter apart to expand the intelligence of vehicle classification, speed, and length. We have designed an experimental setup using commodity sensors to validate the intelligent lighting system. From the experimental results, we have obtained 95% accuracy for vehicle classification and 20% energy-saving with 50 watts LED lighting system.