| Intelligent guide is an integrated service of tourist location-based path guide and tour guide, which is closely based on geographic information systems (GIS), mobile positioning technology, and location based services (LBS). With the rapid development of our tourism market and promotion of tourist information technology, digital tourism and scenic, which focuses on informatization and quantification, has been gradually transformed to intelligent tour and scenic, which focuses on user-friendly and intelligentization. Meanwhile, the rapid development of our sensor network and networking technology also accelerated the construction of intelligent tour and scenic. However, the traditional outdoor positioning-based vehicle navigation (eg. GPS) is difficult to meet the need of scenic tour service including both outdoor attractions and indoor exhibition area including exhibits. Therefore, the integration of indoor and outdoor positioning, navigation technology and its application in the field of intelligent guide urgently need to be improved. This thesis aims to incorporate outdoor and indoor positioning technologies into scenic tour service system. It studies technologies and methods of integration of indoor and outdoor positioning and location services in scenic intelligent guide from the perspective of obtaining tourists’ temporal location and analyzing their behavior. In order to satisfy the demand of outdoor and indoor scenic route guidance and information explanation, it also studies how to build intelligent guide service, which is based on GPS, Bluetooth and Ultra-Wideband (Ultra-Wide Band, UWB) positioning. Based on the tourism theory, service patterns, characteristics and composition of a scenic tour guide are studied. Then, the architecture of scenic intelligent tour guide is proposed, and three key technique issues including indoor and outdoor positioning, path planning and information broadcasting are discussed. Finally, a prototype system is implemented and applied to a real case. This research can help to promote the theory and technology innovation of mobile GIS in the application to the tourism industry to some extent. It provides a new technical support to the scenic tour guide service especially in positioning, attraction introduction and guide. Meanwhile, the research also brings new ideas to the scenic tour guide service mode and methodology.In general, in this thesis, the research work has been carried out as follows:(1) Due to different ways to access a tour guide service, there are three service modes for the scenic tour guide system:offline, online and hybrid modes. After analyzing the structure and characteristics of an intelligent guide service, in order to emphasize the integrated tour experience such as the indoor and outdoor seamless tour guide, voice interaction and real-time information broadcast, the thesis proposed an scenic tour guide architecture integrated by the voice guide service, the route guidance service, the indoor and outdoor positioning service, and the living facilities query service. Among them, the first three services are the most important and key components in the architecture. Finally, from the LBS and guide services, the system integration and the institutional norms, various safeguards are provided to guarantee the operation of scenic smart guide services.(2) Based on the investigation of various indoor and outdoor positioning technologies, the thesis analyzes several performance parameters such as the positioning accuracy, the application scope and the integration degree. To the specific needs of indoor and outdoor positioning intelligent guide system, this thesis studies the indoor and outdoor integrated positioning method based on GPS and UWB. This thesis also systematically combs the GPS location and the characteristics of UWB indoor positioning, and unifies the scenic indoor and outdoor data space benchmark. Then, the impact factors of indoor and outdoor positioning switching influenced by environment, physical and human are discussed, and an indoor and outdoor combination mode is proposed based on visitor behavior and space state. By constructing positioning switching algorithm using motion detection, an integrated GPS and UWB indoor positioning platform is built.(3) Relying on the scenic road network data model, by using classic optimal path algorithms such as the A*algorithm, the idea of scenic tour route planning joint staging (referred to jointly staging path planning) is proposed based on intelligent guide. In the idea, a tour path is regarded as a combination of indoor sections and outdoor sections. The outdoor road is from the start point to the entrance of the indoor attraction, and the indoor attraction sections start from the inlet to the outlet. Supported by the main joint segmentation path planning algorithm, the scenic road tour joint segmentation algorithm and the search sub-tour path planning algorithm, a scenic tour of indoor and outdoor attractions intelligent route planning is designed and implemented. Experimental results show that the tour route planning joint segmentation result is reasonable whatever a tour is sequential or random indoors. This method is available in practical applications. (4) Based on the location information description parameters and spatial relationships computing model, and with the support of semantic description of syntactic rules, a dynamic description by referencing tourists’own position is designed. Depending on the real-time locations of tourists obtained by indoor and outdoor positioning technologies, a method for broadcasting real-time information of attractions based on indoor and outdoor attractions broadcast region is proposed. The method makes use of the spatial relationship between a tourist and the broadcast area as guide triggers to broadcast information according to different broadcast zones and different scenic areas. The thesis points out three touring ways in scenic tour process and their conversion relationship, and proposes a solution to the problem of tourist’s deviation from the cruise line. It also presents a timely postponing or advance broadcasting algorithm to solve conflicts in attraction broadcasting and turning point broadcasting. This algorithm has low complexity and high operability.(5) By implementing the above tour guide service architecture, integrated positioning platform, indoor and outdoor attractions path planning model and real-time information attraction broadcast methods, the Shanghu scenic intelligent guide system is designed and implemented on an embedded mobile intelligent terminal platform. Experiment is made to validate the architecture and service model proposed in the thesis. Results show that the scenic intelligent guide system has the advantages of natural and smooth guide explanation, timely and accurate direction broadcasting, and proper off line reminder, etc. It is fully capable to meet various guide requirements of tourists, and it also can be applied in other large scale scenic areas. |
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