A Study on Planning and Operating Intelligent Information Service Platform for Taroko National Park
The behaviors of tourists is changing over time and ICT is evolving as well! The authority of national park must keep thinking about how to take of changing behavior and leveraging the stat-of-the-art technologies for improving management and services provided. An intelligent information service platform which integrates all aspects of a national park service and incorporates with IoT to provide omnidirectional mobile services is demanding than ever. Therefore, in this study, we aim to build such an intelligent mobile information platform for Taroko national park. In our platform, we have configured three tiers: facility basis, integrated application, and core APIs. The APIs provide surveillance video streaming, statistical analysis, intelligent computing service, logic control and presentation view APIs. We plan and develop mobile end, manage end, platform end, and social end applications. As for facility basis, we plan and construct an infrastructure for all data collection devices. Based on this platform, we could offer services for managers such as video surveillance, statistical analysis, trail management and intelligent computing, and for mobile end such as park information, travel recommendation, interpretation service, photographing, social sharing and trail application system. To iteratively refining our platform and services, we keep reviewing the effectiveness of provided services and evaluating system performance. This study has been done and reveal a viable platform. Once the data gets collecting, we believe that the travel experiences of tourists and the management efficiency of authority will be both improved. Furthermore, this intelligent information service system operating here in Taroko will be an exemplar site around our country.
Keywords: Intelligent Information Service Platform, Internet of Things, Mobile Intelligent Service