通过监测天气参数和污染物远程使用树莓派交通管理

Prateek Majagavi, A. Tigadi, S. Kulkarni
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引用次数: 2

摘要

机动车数量的增加主要集中在城市地区,这已经成为不健康环境和因污染引起疾病的突出原因。车辆的系统流动将有助于减少污染。技术的使用是处理交通的一种解决方案,检测交通通道中的二氧化碳和一氧化碳等污染物将有助于交通当局和通勤者的决策。提出的方法是一个独立的物联网系统,在交通繁忙的密集地点测量少量天气参数,并提供相应的实时数据。该系统采用低功耗微型计算机树莓派3B+。各种传感器被用来检测不同的参数,如温度、压力、二氧化碳、一氧化碳和湿度。树莓派收集的数据被发送到云端并存储起来,任何人都可以随时随地查看。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采取后续措施。
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Traffic Management by Monitoring Weather Parameters and Pollutants Remotely using Raspberry Pi
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.
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