Abstract
Monitoring systems for the safety of building structure (SBS) can provide people with important data related to main supporting points in a building and then help people to make a reasonable maintenance schedule. However, more and more data bring a challenge for data management and data mining. In order to meet this challenge, under the framework of Wisdom Web of Things (W2T), we design a monitoring system for the SBS by using the semantic and the multisource data fusion technologies. This system establishes a dynamical data cycle among the physical world (buildings), the social world (humans), and the cyber world (computers) and provides various services in the monitoring process to alleviate engineers’ workload. Furthermore, all data in the cyber world are organized as the raw data, the semantic information, and the multisource knowledge. Based on this organization, we can concentrate on the data fusion from the viewpoints of time, space, and multisensor. At last, a prototype system powered by the semantic platform LarKC is tested from the aspects of sample performance and time consumption. In particular, noisy data (i.e., inconsistent, abnormal, or error data) are detected through the fusion of multisource knowledge, and some rule-based reasoning is conducted to provide personalized service.
Highlights
Today many landmark buildings with new building technologies or new building materials have gradually emerged, which always have novel appearance and unique structure
The test done by the engineers will cause some problems: (1) because of the different personnel experience among the engineers, the differences exist in these testing results; (2) the testing data cannot be obtained continuously, so the real-time warning cannot be realized; (3) the cost of manpower will grow higher as time goes by
This paper presents a monitoring system for the safety of buildings structure (SBS) under the W2T framework, which can effectively perceive the structural status of various buildings in a city and integrate the real-time sensed data with the various existing knowledge
Summary
Today many landmark buildings with new building technologies or new building materials have gradually emerged, which always have novel appearance and unique structure. This paper presents a monitoring system for the SBS under the W2T framework, which can effectively perceive the structural status of various buildings in a city and integrate the real-time sensed data with the various existing knowledge. This system contains a W2T data cycle, which is not a simple combination of the social world (engineers or building owner), the physical world (buildings or sensors), and the cyber world (computers).
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