Innovative Solution

cloud, format, data exchange

technical

Cloud technology

Disaster information is an extremely valuable asset for a research team, society and even the whole mankind. It is collected through very expensive process, including a variety of sensors, long-distanced data transmission, and analysis by the professionals and experts with the background of weather, engineering and politics. This platform aims to preserve the disaster information and leverage it usage.

Many disasters occurred in Taiwan annually in terms of types and quantity, causing tremendous loss and influence to the residence. Over years, many departments of the government invest significant efforts and resources on developing systems for disaster prevention, rescue and reduction. They create a large amount of the scientific research data; however, the construction and maintenance of the system will be complicated because of these data are not easy to use and also lack of portability. The fragment information retrieval procedures impede the use of information cross disciplinary and cross-department. This even influence in preserving disaster data and cause many redo works.

We proposed to designed and implemented NTU D-Cloud and D-Adapter. It is an intelligent framework to collect the research results from NTU teams. The major task is to automatically collect the data from different sources, mining the information hidden in the data, and finally present the information with a more standard way so that other people can reuse the information developed in the university.

Fig. 1 shows the architecture of the smart platform. D-Cloud and D-Adapter are the two main components. D-Cloud can store and share data efficiently through cloud structure. D-Adapter provides an interface for transforming the results of the advanced research in NTU into standard format dynamically. During the process, the authority, usability, standard and sustainability of the data is considered. The NTU D-Cloud and D-Adapter consists the disaster reduction smart platform. Use D-Adapter to collect the results of this project. In addition, D-Cloud can provide the data for the society.

The potential impact of NTU D-Cloud and D-Adapter is to bridge the advanced research result of NTU and the requirement of society. We provide an intelligent system considering with authority, usability, standard and sustainability for disaster prevention, rescue and reduction.

The smart platform consisting NTU D-Cloud and D-Adapter providing all information of flooding and sediment-related disasters that decision makers can consult on. In the last development phase of the platform, the data may also be open to the public for taking disaster-reduction measures.

This platform aims to preserve the disaster information and leverage it usage.

The potential impact of D-Cloud and D-Adapter is to bridge the advanced research result of research center and the requirement of society.

(a)        Create the standard format of data storage for disaster prevention;

(b)       Design the architecture of cloud for disaster prevention;

(c)        Design the format of data which provided by D-cloud after the user test. During the process, we consider the usability, comprehensibility and readability to maximize the range of application.

(d)       Create a standard procedure to transform the results of research sustainability.

How to preserve the disaster information and leverage it usage?

We provide an intelligent system considering with authority, usability, standard and sustainability for disaster prevention, rescue and reduction.

The smart platform consisting NTU D-Cloud and D-Adapter providing all information of flooding and sediment-related disasters that decision makers can consult on. In the last development phase of the platform, the data may also be open to the public for taking disaster-reduction measures. 

The indicators should be the download log.

We expect these information will be reused in different department and different field.

Most people who use computer or mobile device for disaster prevention would be interested in this solution.
The data will the same format on the cloud will help them get information on any device with internet connection.

Many disasters occurred in Taiwan annually in terms of types and quantity, causing tremendous loss and influence to the residence. Over years, many departments of the government invest significant efforts and resources on developing systems for disaster prevention, rescue and reduction. They create a large amount of the scientific research data; however, the construction and maintenance of the system will be complicated because of these data are not easy to use and also lack of portability. The fragment information retrieval procedures impede the use of information cross disciplinary and cross-department. This even influence in preserving disaster data and cause many redo works.

Shih-Chung Kang

Associate Professor
Computer Aided Engineering (CAE)
Department of Civil Engineering
National Taiwan University

• Email: sckang (at) ntu.edu.tw
• Assistant: Peter Lai
  • Email: Peter (at) caece.net
  • Phone: (+886-2) 3366-4314
• Office Address: Room 607 No.188, Sec. 3, Sinhai Rd., Taipei, Taiwan.
• Mail Address: Dept. of Civil Engineering No. 1, Sec. 4, Roosevelt Road, Taipei, 10617 Taiwan.