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Mobile monitoring system: Vehicles with sensors to control air quality in Glasgow
技术
- 分析与建模 - 大数据分析
- 网络与连接 - 网关
- 网络与连接 - 洛拉
- 传感器 - 气体传感器
适用行业
- 城市与自治市
用例
- 连续排放监测系统
挑战
世界各国都有需要，在许多情况下还有法律义务，以确保空气质量达到特定标准。政策旨在通过减少排放和设定 AQI 限值和目标来减少空气污染。城市的公共当局已经部署了静态站，以使用特定且成本高的传感技术来监测一组污染物的空气质量数据。这些站点提供高度准确的数据，但它们的成本限制了部署的数量，在覆盖范围内留下了很大的差距。
客户
普查斯
关于客户
CENSIS 是传感器和成像系统 (SIS) 技术的卓越创新中心，利用位于英国格拉斯哥的 Libelium Waspmote 传感器平台开发了一个低成本系统，该系统可以灵活、快速地部署在移动配置中，以进行通信。
解决方案
CENSIS 与斯特拉斯克莱德大学合作开展了这个被称为“感知城市”的项目。其目的是以动态方式实时监测城市不同区域的关键空气参数。出于这最后一个原因，他们想在面包车顶部放置一个移动无线传感器网络系统来穿越整个城市。 “我们最初的要求是具有多种配置选项的传感器节点。从进化的角度来看，我们现在有可能添加新的传感器节点或更改传感器节点”，CENSIS 高级工程师 Stuart Simpson 说。传感器节点包含在一个带有 Waspmote Plug & Sense 的盒子上！ Smart Environment PRO 内部以及不同的传感器：CO、颗粒物 - 灰尘传感器（PM1、PM2.5 和 PM10）、温度、湿度、压力、NO、NO2 和 O3。这些是控制空气质量和检测气体排放或污染物的一些最重要的参数。 Waspmote Plug & Sense 监控的所有信息！传感器平台通过 802.15.4 发送到位于车辆手套箱中的传感器集线器。它由 Raspberry Pi2、一个 GPS 天线（用于跟踪）和 Zigbee 组成。收集到的信息通过 3G 发送到云端，并在基于 Microsoft Azure 物联网平台的 CitySense 中可视化。 CitySense 是一个基于 Web 的用户界面，允许数据可视化、与云服务交互，并包括嵌入数据处理和分析输出的功能。决策支持系统允许创建空间和时间高分辨率空气质量地图。具有巨大可能性的低成本部署“感知城市”项目可以在没有覆盖的地区提供指示性空气质量数据，以支持污染源的识别。移动系统还可以以支持污染模型比较和识别趋势所需的速度和速度收集大量数据。
收集的数据
Air Quality (PMI), Pollutants detection
运营影响
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