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Related Concept Videos

Bus Impedance Matrix01:24

Bus Impedance Matrix

551
Calculating subtransient fault currents for three-phase faults in an N-bus power system involves using the positive-sequence network. When a three-phase short circuit occurs at a specific bus, the analysis uses the superposition method to evaluate two separate circuits.
In the first circuit, all machine voltage sources are short-circuited, leaving only the prefault voltage source at the fault location. The positive-sequence bus impedance matrix can be determined by solving the nodal equations,...
551

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Design of a Mobile Low-Cost Sensor Network Using Urban Buses for Real-Time Ubiquitous Noise Monitoring.

Rosa Ma Alsina-Pagès1, Unai Hernandez-Jayo2,3, Francesc Alías4

  • 1GTM-Grup de recerca en Tecnologies Mèdia, Quatre Camins, 30, Barcelona 08022, Spain. ralsina@salleurl.edu.

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Summary

This study designs a low-cost acoustic sensor network on public buses for real-time traffic noise monitoring in smart cities. This system aims to improve urban quality of life by enabling dynamic noise mapping and timely interventions.

Keywords:
ENDacoustic sensingconnectivitydynamic measurementhardware platformnoise mappingsignal processingsmart cityubiquitous

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Area of Science:

  • Environmental Science
  • Urban Planning
  • Acoustics

Background:

  • Traffic noise negatively impacts urban quality of life and is a growing concern for authorities.
  • The European Commission's Environmental Noise Directive (END) emphasizes noise mapping for citizen information and harm prevention.
  • Current noise mapping relies on annual averages, limiting short-term action and temporal analysis.

Purpose of the Study:

  • To design a real-time acoustic sensor network for measuring traffic noise using public buses.
  • To address the challenges associated with a ubiquitous bus-based acoustic measurement system.
  • To lay the groundwork for dynamic noise mapping and improved understanding of noise evolution.

Main Methods:

  • Development of a low-cost acoustic sensor network integrated into public buses.
  • Analysis of audio signal feature extraction and road traffic noise identification/separation.
  • Consideration of hardware platforms, sensor network connectivity, and noise map generation processes.

Main Results:

  • The paper details the design of a bus-mounted acoustic sensor network for real-time urban noise measurement.
  • Challenges including signal processing, hardware, connectivity, and mapping were identified and discussed.
  • The proposed system facilitates dynamic noise mapping for potential short-term urban planning actions.

Conclusions:

  • The designed system offers a novel approach to real-time traffic noise monitoring in urban environments.
  • Addressing the outlined challenges is crucial for the successful implementation of ubiquitous bus acoustic measurement.
  • Future work will focus on the real-life implementation and evaluation of this proposed system.