水资源管理和预测支持的数据集成、协调和提供工具包

Georgios Vosinakis, E. Maltezos, Maria Krommyda, E. Ouzounoglou, A. Amditis
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引用次数: 0

摘要

及时可靠的信息对管理水资源的组织至关重要。当饮用水的安全和保障得不到保证时,饮用水是一个主要的风险来源。早期预测和减轻此类风险依赖于依赖于实时和历史数据的预测模型。这些数据本质上是异构的,包括传感器测量、卫星图像和雷达读数、无人机(UAV)图像和视频以及预测算法的结果(洪水风险、石油泄漏等)。AQUA3S是欧盟资助的项目,结合了水安全和安保方面的新技术,旨在标准化现有的传感器技术,并辅以最先进的检测机制。传感器网络部署在供水网络和水源中,由复杂传感器支持,以增强检测。传感器测量得到无人机视频、卫星图像和来自公民的社交媒体观察的支持,这些公民报告了他们所在地区的低质量水,这也创造了社会意识和互动知识转移。语义表示和数据融合通过第一响应者媒介向公众提供智能决策支持系统(DSS)警报和消息。本研究提出了为支持该项目系统而开发的数据摄取、集成和协调平台,该平台由必要的api组成,用于摄取数据、协调层和数据存储层。使用NGSI-LD模型对数据进行协调和索引,以确保信息既可以通过实时上下文代理实时索引,也可以通过专用的历史数据服务以历史时间序列的形式进行索引和服务。数据存储层包括用于存储带注释的二进制文件(图像、视频等)的规定,以及遵循OGC协议的地理参考地图层,如web feature service (WFS)、web map service (WMS)和web coverage service (WCS)。
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DATA INTEGRATION, HARMONIZATION AND PROVISION TOOLKIT FOR WATER RESOURCE MANAGEMENT AND PREDICTION SUPPORT
Timely and reliable information is critical to organizations managing water resources. Drinking water is one main source of risk when its safety and security is not ensured. Early prediction and mitigation of such risks relies on prediction models that depend on live and historical data. Such data are quite heterogenous in nature, including sensor measurements, satellite imagery and radar readings, unmanned aerial vehicle (UAV) images and videos as well as results of prediction algorithms (flood risk, oil spills etc). AQUA3S is an EU funded project which combines novel technologies in water safety and security, aiming to standardize existing sensor technologies complemented by state-of-the-art detection mechanisms. Sensor networks are deployed in water supply networks and sources, supported by complex sensors for enhanced detection. Sensor measurements are supported by videos from UAVs, satellite images and social media observations from the citizens that report low-quality water in their area also creating social awareness and an interactive knowledge transfer. Semantic representation and data fusion provides intelligent decision support system (DSS) alerts and messages to the public through first responders’ mediums. This study presents the data ingestion, integration and harmonization platform that was developed to support the systems of the project, consisting of the necessary APIs, to ingest data, a harmonization layer and a data store layer The data is harmonized and indexed using the NGSI-LD model to make sure information can be indexed and served both is real time through a live context broker, as well as in the form of historical time series through a dedicated historical data service. The data store layer includes provisions for the storage of annotated binary files (images, videos, etc.) as well as georeferenced map layers following OGC protocols such as web feature service (WFS), web map service (WMS), and web coverage service (WCS).
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