Sensor Standards: Overview and Experiences

Hu, Peizhao; Robinson, Ricky; Indulska, Jadwiga

doi:10.1109/issnip.2007.4496891

Cited by 27 publications

(14 citation statements)

References 6 publications

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“…To be able to employ the BIM approach for tasks related to structural performance monitoring, open standard data models that fully describe the infrastructure assets, monitoring systems and processes, and that manage and visualise the acquired data are required. In relation to monitoring and sensor data, many standard data models have been developed, as reported by Hu et al (2007) and Lee (2007). In this paper, only standard data models developed by Building Smart and the Open Geospatial Consortium (OGC) are addressed as they are the only ones closely related to the construction industry.…”

Section: Interoperability and Standard Data Modelsmentioning

confidence: 99%

Management of structural monitoring data of bridges using BIM

Delgado

Butler

Gibbons

et al. 2017

Proceedings of the Institution of Civil Engineers - Bridge Engi

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In addition to the traditional benefits associated with the installation of structural health monitoring systems, reductions in construction, operational and maintenance costs, and improved performance and quality can be achieved by effectively using the acquired data. However, considered in isolation, the raw data are of little use and value. They must be processed and put into a geometric context within the infrastructure asset, which facilitates the interpretation and analysis of the data. This supports informed decision making, which in turn leads to effective actions. This study outlines a new approach that enables the modelling of structural performance monitoring systems in a Building Information Modelling (BIM) environment and hence permits sensor data to be visualised directly on BIM models. The paper addresses aspects related to: (a) interoperability and standard data models; (b) management and visualisation of monitoring data; and (c) data interpretation and analysis. A prestressed concrete bridge, with a comprehensive built-in structural performance monitoring system, has been used as a case study. The case study demonstrates that by including and visualising monitoring data directly on BIM models the acquired data gain geometrical context within the built asset, which facilitates better interpretation, analysis and all the data-sharing benefits associated with the BIM approach.

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Section: Interoperability and Standard Data Modelsmentioning

confidence: 99%

Management of structural monitoring data of bridges using BIM

Delgado

Butler

Gibbons

et al. 2017

Proceedings of the Institution of Civil Engineers - Bridge Engi

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“…This requirement is addressed by SensorML. Therefore, Hu et al [10] convert TEDS to SensorML by creating a knowledge base which maps each TEDS property to an appropriate SensorML description. It would be promising to extend this approach and to combine it with our work to automatically generate SIDs for IEEE 1451 sensors so that an SID interpreter can connect IEEE 1451 sensors on-thefly with SWE services.…”

Section: Background and Related Workmentioning

confidence: 99%

The SID Creator: A Visual Approach for Integrating Sensors with the Sensor Web

Bröring

Bache

Bartoschek

et al. 2011

Lecture Notes in Geoinformation and Cartography

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This paper describes the Sensor Interface Descriptor (SID) model and focuses on presenting and evaluating the SID creator, a visual approach to create instances of the SID model. Those SID instances comprise the knowledge required to integrate a sensor with the Sensor Web. This integration is done by an SID interpreter which uses an SID instance to translate between a sensor protocol and the Sensor Web protocols. An SID instance, designed for a particular sensor type, can be reused in multiple applications and can be shared among user communities. The SID creator enables users to describe the interface, commands and metadata of their sensors. In a user study, we evaluated the simplification of the sensor integration process through the SID concept. The study incorporated four user groups, ranging from high school students to expert users, who were challenged to integrate weather station sensors with the Sensor Web by utilizing the SID creator. While the common approaches of integrating such sensors with the Sensor Web involve manual coding and extensive adaptation efforts, this new visual approach significantly simplifies the integration process.

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“…Source discovery mechanisms based on standards and services constitute the second group of features of context acquisition. Standards, such as the family of IEEE 1451 standards 3 and SensorML 4 provide a way of describing sensor specifications for supporting opportunistic discovery [26]. For example, the context management infrastructure propose by Hu et al takes advantage of these standards [23], [27].…”

Section: Context Managementmentioning

confidence: 99%

“…Generally, most context management approaches support features such as context disposition and data management, rather than fault tolerance, scalability, and autonomicity. However, several research efforts have made important contributions for the latter three features [32], [27], [26], [38], [39].…”

Section: Maintenance and Evolution Of Context Management Infrastructumentioning

confidence: 99%

Managing Dynamic Context to Optimize Smart Interactions and Services

Villegas

Müller

2010

Lecture Notes in Computer Science

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Abstract. With the rapid growth of socio-technical ecosystems, smart interactions and services are permeating every walk of life. As smart interactions must managed automatically and interactively in response to evolving user's matters of concern, the smart Internet requires creative approaches where services and interactions are implemented with awareness of, and dynamic adaptation to, users, computational environments, changing policies and unknown requirements. Consequently, modeling and managing dynamic context is critical for implementing smart services and smart interactions effectively. Thus, smart interactions need infrastructure to acquire, compose, and distribute context information to multiple execution endpoints. Moreover, context management must be controlled and governed to optimize system properties. This chapter surveys context modeling and management approaches intended for the optimization of smart interactions and services, discusses the main challenges and requirements of context-awareness in the smart Internet, and provides a feature-based framework useful for the evaluation and implementation of context modeling and management mechanisms.

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Sensor Standards: Overview and Experiences

Cited by 27 publications

References 6 publications

Management of structural monitoring data of bridges using BIM

Management of structural monitoring data of bridges using BIM

The SID Creator: A Visual Approach for Integrating Sensors with the Sensor Web

Managing Dynamic Context to Optimize Smart Interactions and Services

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