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Traffic Management by Monitoring Weather Parameters and Pollutants Remotely using Raspberry Pi

机译:通过使用Raspberry Pi远程监视天气参数和污染物进行交通管理

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The increasing count of motor vehicles mainly in urban areas have become prominent reason for unhealthy environment and causing illness due to pollution. Systematic flow of vehicles will help in reduction of pollution. Use of technology is a solution in handling traffic, sensing pollutants like carbon dioxide and carbon monoxide in the pathway of transit will help in decision making for the traffic authorities as well as to the commuters. The proposed method is a stand-alone IoT system to measure few weather parameters at a dense location with heavy traffic and provide the corresponding live data. The system uses a low-power mini-computer Raspberry Pi 3B+. The various sensors are used to sense different parameters like temperature, pressure, carbon dioxide, carbon monoxide and humidity. The data collected by the Raspberry Pi is sent to the cloud and stored which can be viewed by anyone and anywhere at any time. Future measures can be taken using available recorded-data if there are unhealthy readings measured by the system set up at a location.
机译:主要在城市地区的机动车数量的增加已经成为导致环境不健康并由于污染而引起疾病的重要原因。车辆的系统流动将有助于减少污染。使用技术是一种处理交通的解决方案,在运输路径中检测二氧化碳和一氧化碳等污染物将有助于交通管理部门和通勤者做出决策。所提出的方法是一个独立的物联网系统,用于在交通繁忙的密集位置测量少量天气参数,并提供相应的实时数据。该系统使用低功耗的小型计算机Raspberry Pi 3B +。各种传感器用于感应不同的参数,例如温度,压力,二氧化碳,一氧化碳和湿度​​。 Raspberry Pi收集的数据被发送到云中并存储,任何人随时随地都可以查看。如果在某个地点设置的系统测量到不健康的读数,则可以使用可用的记录数据来采取进一步的措施。

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