{"title":"使用树莓派作为空气质量监测仪的智能手机应用程序,以减少空气污染","authors":"Pandapotan Siagian, Erick Fernando","doi":"10.1109/ICITech50181.2021.9590187","DOIUrl":null,"url":null,"abstract":"Good air quality is very important in human health. However, air pollution has been polluted everywhere, whether in the house, in cities. This is caused by a growing industry that produces air pollution. Room air pollution and various cities will contribute to air pollution, which will cause problems for human health. This work measures the carbon monoxide level using the MQ-7 sensor and measures the air's carbon dioxide level with the CCS811 sensor and MH-Z19 sensor. All three sensors are connected to the NodeMCU ESPS266, and we call it a NodeMCU module. Tests are carried out in three rooms in the house, and then three NodeMCU modules are used so that the three modules will send data alternately. Raspberry Pi3 (RPi3) functions as a server that collects data and acquires information data from sensors. Data from the CCS811 (TCOV) sensor, MH-Z19 (co2), will be processed first with fuzzy logic rules to make decisions about CO2, which are right, moderate, nasty conditions. The process is carried out on the Raspberry Pi 3 server with MQTT using publication, customer, fuzzy logic, and broker services. The value of the sensor's measurement results can be accessed via a smartphone and provides good air control values.","PeriodicalId":429669,"journal":{"name":"2021 2nd International Conference on Innovative and Creative Information Technology (ICITech)","volume":"254 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Smartphone Application As An Air Quality Monitor Using Raspberry Pi For Reducing Air Pollution\",\"authors\":\"Pandapotan Siagian, Erick Fernando\",\"doi\":\"10.1109/ICITech50181.2021.9590187\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Good air quality is very important in human health. However, air pollution has been polluted everywhere, whether in the house, in cities. This is caused by a growing industry that produces air pollution. Room air pollution and various cities will contribute to air pollution, which will cause problems for human health. This work measures the carbon monoxide level using the MQ-7 sensor and measures the air's carbon dioxide level with the CCS811 sensor and MH-Z19 sensor. All three sensors are connected to the NodeMCU ESPS266, and we call it a NodeMCU module. Tests are carried out in three rooms in the house, and then three NodeMCU modules are used so that the three modules will send data alternately. Raspberry Pi3 (RPi3) functions as a server that collects data and acquires information data from sensors. Data from the CCS811 (TCOV) sensor, MH-Z19 (co2), will be processed first with fuzzy logic rules to make decisions about CO2, which are right, moderate, nasty conditions. The process is carried out on the Raspberry Pi 3 server with MQTT using publication, customer, fuzzy logic, and broker services. The value of the sensor's measurement results can be accessed via a smartphone and provides good air control values.\",\"PeriodicalId\":429669,\"journal\":{\"name\":\"2021 2nd International Conference on Innovative and Creative Information Technology (ICITech)\",\"volume\":\"254 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-09-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 2nd International Conference on Innovative and Creative Information Technology (ICITech)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICITech50181.2021.9590187\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 2nd International Conference on Innovative and Creative Information Technology (ICITech)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICITech50181.2021.9590187","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
摘要
良好的空气质量对人体健康非常重要。然而,空气污染已经无处不在,无论是在家里,在城市。这是由于不断增长的工业造成的空气污染。室内空气污染和各个城市都会造成空气污染,这将对人体健康造成问题。这项工作使用MQ-7传感器测量一氧化碳水平,并使用CCS811传感器和MH-Z19传感器测量空气中的二氧化碳水平。所有三个传感器都连接到NodeMCU ESPS266,我们称之为NodeMCU模块。在房子的三个房间进行测试,然后使用三个NodeMCU模块,以便三个模块交替发送数据。RPi3 (Raspberry Pi3)作为服务器,负责采集数据,从传感器获取信息数据。来自CCS811 (TCOV)传感器MH-Z19 (co2)的数据将首先用模糊逻辑规则进行处理,以做出关于co2的决策,这是正确的,适度的,恶劣的条件。该过程在带有MQTT的Raspberry Pi 3服务器上执行,使用发布、客户、模糊逻辑和代理服务。传感器的测量结果值可以通过智能手机访问,并提供良好的空气控制值。
Smartphone Application As An Air Quality Monitor Using Raspberry Pi For Reducing Air Pollution
Good air quality is very important in human health. However, air pollution has been polluted everywhere, whether in the house, in cities. This is caused by a growing industry that produces air pollution. Room air pollution and various cities will contribute to air pollution, which will cause problems for human health. This work measures the carbon monoxide level using the MQ-7 sensor and measures the air's carbon dioxide level with the CCS811 sensor and MH-Z19 sensor. All three sensors are connected to the NodeMCU ESPS266, and we call it a NodeMCU module. Tests are carried out in three rooms in the house, and then three NodeMCU modules are used so that the three modules will send data alternately. Raspberry Pi3 (RPi3) functions as a server that collects data and acquires information data from sensors. Data from the CCS811 (TCOV) sensor, MH-Z19 (co2), will be processed first with fuzzy logic rules to make decisions about CO2, which are right, moderate, nasty conditions. The process is carried out on the Raspberry Pi 3 server with MQTT using publication, customer, fuzzy logic, and broker services. The value of the sensor's measurement results can be accessed via a smartphone and provides good air control values.