| Title |
Noise pollution monitoring using mobile crowd sensing and SAP analytics |
| ID_Doc |
44560 |
| Authors |
Parvan, IC; Danciu, G; Balan, T |
| Title |
Noise pollution monitoring using mobile crowd sensing and SAP analytics |
| Year |
2021 |
| Published |
|
| DOI |
10.1109/EMES52337.2021.9484144 |
| Abstract |
Safe administration of the cities from environment point of view is part of the focus of smart cities related to improving the quality of life of inhabitants. This paper presents a solution to the noise pollution problem in our communities. The noise parameter monitoring and analysis is based on the concept of Mobile Crowd Sensing (MCS) using smartphones. The first part of the paper presents the technologies used together with their advantages, followed by a description of implemented applications: the phone application, the web application, as well as the integration with SAP that acts as analytics and decision support platform. The implemented smartphone application has the role of data acquisition for sound values, recording and transmitting the real time parameters as well as a location and temporal stamp. The web application acts as a visualization dashboard for recorded data that can be further analyzed and filtered in various forms. |
| Author Keywords |
Mobile Crowd Sensing; noise pollution; SAP; smart city; sound level |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000855847300039 |
| WoS Category |
Energy & Fuels; Engineering, Electrical & Electronic |
| Research Area |
Energy & Fuels; Engineering |
| PDF |
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