{"title":"基于LoRa无线网状拓扑的森林火灾探测","authors":"Adnan, A. Salam, Arham Arifin, M. Rizal","doi":"10.1109/EIConCIT.2018.8878488","DOIUrl":null,"url":null,"abstract":"Events that causes delays in handling fires was a delay in information to warn of a forest fire. To overcome the problem, we conduct a research so that forest fires can be quickly detected. The problem is generally around the forests there is no data communication network available so that disable the delivery of information in the event of a forest fire. Therefore, we designed forest fire detectors that use LoRa mesh network. The detector is able to inform us where the fire location using Google map. Forest fire detector constitute of Arduino Uno, LoRa modules, DHT 11 humidity and temperature sensor and the MQ2 sensor. We put several nodes within a forest. In this case of forest fire alarm, the best LoRa configurations are BW 250 CR 4/5 SF 10. Using these configuration, we can send data to the LoRa gateway which is 500 meters away from the sensor nodes. With the distance between devices so far, the RSSI level received by the gateway is -136 dBm in addition to avoid collisions between four sensor node we recommended a transmission interval is equal 20200 ms.","PeriodicalId":424909,"journal":{"name":"2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"22","resultStr":"{\"title\":\"Forest Fire Detection using LoRa Wireless Mesh Topology\",\"authors\":\"Adnan, A. Salam, Arham Arifin, M. Rizal\",\"doi\":\"10.1109/EIConCIT.2018.8878488\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Events that causes delays in handling fires was a delay in information to warn of a forest fire. To overcome the problem, we conduct a research so that forest fires can be quickly detected. The problem is generally around the forests there is no data communication network available so that disable the delivery of information in the event of a forest fire. Therefore, we designed forest fire detectors that use LoRa mesh network. The detector is able to inform us where the fire location using Google map. Forest fire detector constitute of Arduino Uno, LoRa modules, DHT 11 humidity and temperature sensor and the MQ2 sensor. We put several nodes within a forest. In this case of forest fire alarm, the best LoRa configurations are BW 250 CR 4/5 SF 10. Using these configuration, we can send data to the LoRa gateway which is 500 meters away from the sensor nodes. With the distance between devices so far, the RSSI level received by the gateway is -136 dBm in addition to avoid collisions between four sensor node we recommended a transmission interval is equal 20200 ms.\",\"PeriodicalId\":424909,\"journal\":{\"name\":\"2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT)\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"22\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EIConCIT.2018.8878488\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EIConCIT.2018.8878488","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 22
摘要
导致火灾处理延迟的事件是森林火灾警报信息的延迟。为了克服这个问题,我们进行了一项研究,以便迅速发现森林火灾。问题是森林周围一般没有可用的数据通信网络,因此在发生森林火灾时无法提供信息。因此,我们设计了采用LoRa网状网络的森林火灾探测器。探测器可以通过谷歌地图告诉我们火灾的位置。森林火灾探测器由Arduino Uno、LoRa模块、DHT 11温湿度传感器和MQ2传感器组成。我们在森林中放置了几个节点。在这种森林火灾报警的情况下,最佳的LoRa配置是BW 250 CR 4/5 SF 10。使用这些配置,我们可以将数据发送到距离传感器节点500米的LoRa网关。考虑到设备之间的距离,网关接收到的RSSI电平为-136 dBm,另外为了避免四个传感器节点之间的冲突,我们建议传输间隔为20200 ms。
Forest Fire Detection using LoRa Wireless Mesh Topology
Events that causes delays in handling fires was a delay in information to warn of a forest fire. To overcome the problem, we conduct a research so that forest fires can be quickly detected. The problem is generally around the forests there is no data communication network available so that disable the delivery of information in the event of a forest fire. Therefore, we designed forest fire detectors that use LoRa mesh network. The detector is able to inform us where the fire location using Google map. Forest fire detector constitute of Arduino Uno, LoRa modules, DHT 11 humidity and temperature sensor and the MQ2 sensor. We put several nodes within a forest. In this case of forest fire alarm, the best LoRa configurations are BW 250 CR 4/5 SF 10. Using these configuration, we can send data to the LoRa gateway which is 500 meters away from the sensor nodes. With the distance between devices so far, the RSSI level received by the gateway is -136 dBm in addition to avoid collisions between four sensor node we recommended a transmission interval is equal 20200 ms.