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A high performance, low power computational platform for complex sensing operations in smart cities

机译:高性能,低功耗的计算平台,用于智慧城市中的复杂传感操作

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This paper presents a new wireless platform designed for an integrated traffic/flash flood monitoring system. The sensor platform is built around a 32-bit ARM Cortex M4 microcontroller and a 2.4 GHz 802.15.4 ISM compliant radio module. It can be interfaced with fixed traffic sensors, or receive data from vehicle transponders. This platform is specifically designed for solar-powered, low bandwidth, high computational performance wireless sensor network applications. A self-recovering unit is designed to increase reliability and allow periodic hard resets, an essential requirement for sensor networks. A radio monitoring circuitry is proposed to monitor incoming and outgoing transmissions, simplifying software debugging. We illustrate the performance of this wireless sensor platform on complex problems arising in smart cities, such as traffic flow monitoring, machine-learning-based flash flood monitoring or Kalman-filter based vehicle trajectory estimation. All design files have been uploaded and shared in an open science framework, and can be accessed from https://osf.io/fuyqd/ . The hardware design is under CERN Open Hardware License v1.2.
机译:本文提出了一个新的无线平台,旨在用于集成的交通/山洪监控系统。该传感器平台基于32位ARM Cortex M4微控制器和2.4 GHz 802.15.4 ISM兼容无线电模块构建。它可以与固定交通传感器接口,或从车辆应答器接收数据。该平台是专门为太阳能,低带宽,高计算性能的无线传感器网络应用设计的。自恢复单元旨在提高可靠性并允许定期进行硬重置,这是传感器网络的基本要求。提出了一种无线电监视电路来监视传入和传出的传输,从而简化软件调试。我们说明了这种无线传感器平台在智能城市中出现的复杂问题上的性能,例如交通流量监控,基于机器学习的山洪监控或基于卡尔曼滤波器的车辆轨迹估计。所有设计文件均已在开放的科学框架中上载和共享,并且可以从https://osf.io/fuyqd/进行访问。硬件设计受CERN开放式硬件许可v1.2的约束。

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