A Spatio-Temporal Enhanced Metadata Model for Interdisciplinary Instant Point Observations in Smart Cities
A Spatio-Temporal Enhanced Metadata Model for Interdisciplinary Instant Point Observations in Smart Cities
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DOI：
10.3390/ijgi6020050
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发表时间：
2017-02-01
影响因子：
3.4
通讯作者：
Chen, Zeqiang
中科院分区：
文献类型：
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作者：
Chen, Nengcheng;Liu, Yingbing;Chen, Zeqiang
由于各领域传感器观测到的城市数据对时空信息的描述不全面、不一致，海量、多源、异构的跨学科即时点观测数据资源共享面临巨大挑战。本文提出了一种用于点观测数据共享的时空增强元数据模型。所提出的数据元模型（DMM）着眼于时空特征，制定了十元组信息描述结构，为点观测数据提供统一的时空增强描述。为了验证基于DMM的点观测数据共享的可行性，建立了原型系统，并通过提出的MongoSOS实现了传感器观测服务（SOS）对点观测数据即时访问和插入的性能改进，MongoSOS是一个基于MongoDB数据库的Not Only SQL（NoSQL）SOS，具有分布式存储能力。例如，导航定位数据的访问和插入的响应时间可以实现毫秒级。开展了燃气泄漏应急响应的气体浓度监测、基于北斗卫星导航系统（BDS）记录动态观测信息的智慧城市公共车辆监测等案例研究。结果证明了DMM的多功能性和可扩展性，以及智慧城市中跨学科即时点观测的时空增强共享。
Due to the incomprehensive and inconsistent description of spatial and temporal information for city data observed by sensors in various fields, it is a great challenge to share the massive, multi-source and heterogeneous interdisciplinary instant point observation data resources. In this paper, a spatio-temporal enhanced metadata model for point observation data sharing was proposed. The proposed Data Meta-Model (DMM) focused on the spatio-temporal characteristics and formulated a ten-tuple information description structure to provide a unified and spatio-temporal enhanced description of the point observation data. To verify the feasibility of the point observation data sharing based on DMM, a prototype system was established, and the performance improvement of Sensor Observation Service (SOS) for the instant access and insertion of point observation data was realized through the proposed MongoSOS, which is a Not Only SQL (NoSQL) SOS based on the MongoDB database and has the capability of distributed storage. For example, the response time of the access and insertion for navigation and positioning data can be realized at the millisecond level. Case studies were conducted, including the gas concentrations monitoring for the gas leak emergency response and the smart city public vehicle monitoring based on BeiDou Navigation Satellite System (BDS) used for recording the dynamic observation information. The results demonstrated the versatility and extensibility of the DMM, and the spatio-temporal enhanced sharing for interdisciplinary instant point observations in smart cities.