A great deal of ocean sensor observation data exists, for a wide range of marine disciplines, derived from in situ and remote observing platforms, in real-time, near-real-time and delayed mode. Ocean monitoring is rou...A great deal of ocean sensor observation data exists, for a wide range of marine disciplines, derived from in situ and remote observing platforms, in real-time, near-real-time and delayed mode. Ocean monitoring is routinely completed using sensors and instruments. Standardization is the key requirement for exchanging information about ocean sensors and sensor data and for comparing and combining information from different sensor networks. One or more sensors are often physically integrated into a single ocean ‘instrument' device, which often brings in many challenges related to diverse sensor data formats, parameters units, different spatiotemporal resolution, application domains, data quality and sensors protocols. To face these challenges requires the standardization efforts aiming at facilitating the so-called Sensor Web, which making it easy to provide public access to sensor data and metadata information. In this paper, a Marine Sensor Web, based on SOA and EDA and integrating the MBARI's PUCK protocol, IEEE 1451 and OGC SWE 2.0, is illustrated with a five-layer architecture. The Web Service layer and Event Process layer are illustrated in detail with an actual example. The demo study has demonstrated that a standard-based system can be built to access sensors and marine instruments distributed globally using common Web browsers for monitoring the environment and oceanic conditions besides marine sensor data on the Web, this framework of Marine Sensor Web can also play an important role in many other domains' information integration.展开更多
空天协同对地观测是对地观测领域的新趋势。为解决现有空天资源规划调度系统相对独立、协同困难的问题,分析总结了SWE(Sensor Web Enablement)标准,并在此基础上提出了空天资源对地观测协同任务规划服务模型。在此模型中,为实现观测资...空天协同对地观测是对地观测领域的新趋势。为解决现有空天资源规划调度系统相对独立、协同困难的问题,分析总结了SWE(Sensor Web Enablement)标准,并在此基础上提出了空天资源对地观测协同任务规划服务模型。在此模型中,为实现观测资源共享,建立了空天观测资源传感器描述模型,能够描述典型空天资源的载荷平台、观测机理、定位信息、使用约束和工作特性等信息;为简化观测请求交互流程,基于SOA技术对SWE标准操作进行封装及简化,用户可以在不了解观测平台细节信息的情况下提交观测数据请求。为验证模型有效性,构建了空天资源对地观测协同任务规划实验平台,结果表明该模型具有较强的可实现性和适应性。展开更多
An ever-increasing number of sensor resources are being exposed via the World Wide Web to become part of the Digital Earth.Discovery,selection and use of these sensors and their observations require a robust sensor in...An ever-increasing number of sensor resources are being exposed via the World Wide Web to become part of the Digital Earth.Discovery,selection and use of these sensors and their observations require a robust sensor information model,but the consistent description of sensor metadata is a complex and difficult task.Currently,the only available robust model is SensorML,which is intentionally designed in a very generic way.Due to this genericness,interoperability can hardly be achieved without the definition of application profiles that further constrain the use and expressiveness of the root language.So far,such SensorML profiles have only been developed up to a limited extent.This work describes a new approach for defining sensor metadata,the Starfish Fungus Language(StarFL)model.This language follows a more restrictive approach and incorporates concepts from the recently published Semantic Sensor Network Ontology to overcome the key issues users are experiencing with SensorML.StarFL defines a restricted vocabulary and model for sensor metadata to achieve a high level of interoperability and a straightforward reusability of sensor descriptions.展开更多
Current high-performance monitoring and early warning systems are compara-tively expensive and inflexible.The project described here aims for a systematic development of a prototypical alarm and early warning system f...Current high-performance monitoring and early warning systems are compara-tively expensive and inflexible.The project described here aims for a systematic development of a prototypical alarm and early warning system for landslides utilising low-cost ad hoc wireless sensor networks and flexible spatial web service technology.Using web-based services as tools to exchange environmental data is an important step towards addressing today’s larger scale environmental problems.The project’s information system functions for notification,data access and analysis are implemented utilising Open Geospatial Consortium web service specifications.Approaches to implementing the orchestration of operation workflows and production of near real-time information products are illustrated.展开更多
Real-time people localization cannot be achieved through statistical methods during crisis/emergency management events.An International Mobile Subscriber Identity(IMSI)catcher was proposed as a nontraditional method f...Real-time people localization cannot be achieved through statistical methods during crisis/emergency management events.An International Mobile Subscriber Identity(IMSI)catcher was proposed as a nontraditional method for cell phone-based people localization.We verified the idea of using a cell phone as a sensor and tested the possibility of transmitting cell phone data through the Open Geospatial Consortium(OGC)Sensor Web Enablement.Four large field tests were performed and are described in detail.The main conclusions for IMSI catcher deployment were search within a limited radius from its placement and the number of localized people was not a limiting aspect;although the technology for advanced cell phone-based localization is available for crisis/emergency management applications,we do not yet have sufficient ability to handle this technology.展开更多
基金supported by the open fund project ‘Research of Information Service of Marine Sensor Web’ (Grant No.2011002)the project ‘Research on Channel-Characteristics-Oriented Data Transmission Algorithm in USNs’ of NSF of China (Grant No.61202403)the projects ‘Research of Making Regulation of Testing Technology of Device Interface’ and ‘Development and Application of Real-Time and Long-Term Observation Network Under Nearshore and Adjacent Marine Areas’ of Public science and Technology Research Funds Projects of Ocean(Grant No.201305033-6,No.201105030)
文摘A great deal of ocean sensor observation data exists, for a wide range of marine disciplines, derived from in situ and remote observing platforms, in real-time, near-real-time and delayed mode. Ocean monitoring is routinely completed using sensors and instruments. Standardization is the key requirement for exchanging information about ocean sensors and sensor data and for comparing and combining information from different sensor networks. One or more sensors are often physically integrated into a single ocean ‘instrument' device, which often brings in many challenges related to diverse sensor data formats, parameters units, different spatiotemporal resolution, application domains, data quality and sensors protocols. To face these challenges requires the standardization efforts aiming at facilitating the so-called Sensor Web, which making it easy to provide public access to sensor data and metadata information. In this paper, a Marine Sensor Web, based on SOA and EDA and integrating the MBARI's PUCK protocol, IEEE 1451 and OGC SWE 2.0, is illustrated with a five-layer architecture. The Web Service layer and Event Process layer are illustrated in detail with an actual example. The demo study has demonstrated that a standard-based system can be built to access sensors and marine instruments distributed globally using common Web browsers for monitoring the environment and oceanic conditions besides marine sensor data on the Web, this framework of Marine Sensor Web can also play an important role in many other domains' information integration.
文摘空天协同对地观测是对地观测领域的新趋势。为解决现有空天资源规划调度系统相对独立、协同困难的问题,分析总结了SWE(Sensor Web Enablement)标准,并在此基础上提出了空天资源对地观测协同任务规划服务模型。在此模型中,为实现观测资源共享,建立了空天观测资源传感器描述模型,能够描述典型空天资源的载荷平台、观测机理、定位信息、使用约束和工作特性等信息;为简化观测请求交互流程,基于SOA技术对SWE标准操作进行封装及简化,用户可以在不了解观测平台细节信息的情况下提交观测数据请求。为验证模型有效性,构建了空天资源对地观测协同任务规划实验平台,结果表明该模型具有较强的可实现性和适应性。
文摘An ever-increasing number of sensor resources are being exposed via the World Wide Web to become part of the Digital Earth.Discovery,selection and use of these sensors and their observations require a robust sensor information model,but the consistent description of sensor metadata is a complex and difficult task.Currently,the only available robust model is SensorML,which is intentionally designed in a very generic way.Due to this genericness,interoperability can hardly be achieved without the definition of application profiles that further constrain the use and expressiveness of the root language.So far,such SensorML profiles have only been developed up to a limited extent.This work describes a new approach for defining sensor metadata,the Starfish Fungus Language(StarFL)model.This language follows a more restrictive approach and incorporates concepts from the recently published Semantic Sensor Network Ontology to overcome the key issues users are experiencing with SensorML.StarFL defines a restricted vocabulary and model for sensor metadata to achieve a high level of interoperability and a straightforward reusability of sensor descriptions.
基金funded by the German Federal Ministry for Research and Education under Grant Number FKZ:03G0662A.
文摘Current high-performance monitoring and early warning systems are compara-tively expensive and inflexible.The project described here aims for a systematic development of a prototypical alarm and early warning system for landslides utilising low-cost ad hoc wireless sensor networks and flexible spatial web service technology.Using web-based services as tools to exchange environmental data is an important step towards addressing today’s larger scale environmental problems.The project’s information system functions for notification,data access and analysis are implemented utilising Open Geospatial Consortium web service specifications.Approaches to implementing the orchestration of operation workflows and production of near real-time information products are illustrated.
基金This research has been supported by funding from the EU FP7 Project No.217951,which is called‘Emergency Support System’and the project of Masaryk University under the grant agreement[No.MUNI/A/0902/2012]which is called‘Expression of Global Environmental Change in Component Earth’s Spheres’.
文摘Real-time people localization cannot be achieved through statistical methods during crisis/emergency management events.An International Mobile Subscriber Identity(IMSI)catcher was proposed as a nontraditional method for cell phone-based people localization.We verified the idea of using a cell phone as a sensor and tested the possibility of transmitting cell phone data through the Open Geospatial Consortium(OGC)Sensor Web Enablement.Four large field tests were performed and are described in detail.The main conclusions for IMSI catcher deployment were search within a limited radius from its placement and the number of localized people was not a limiting aspect;although the technology for advanced cell phone-based localization is available for crisis/emergency management applications,we do not yet have sufficient ability to handle this technology.
