Research On Technology Architecture Of Geological Hazard Data Collaborative Service In Tourism Security

Tourism is a human social activity in surface of the earth. It involves travel geospatial positioning, geological environment monitoring and management of tourist attractions, geological disaster monitoring and early warning of tourism, traffic and road navigation services in tourist. And it requires using theory methods and technology in field of earth exploration and information technology to solve the various problems faced. Our country is rich in tourism resources, tourism scenic area mostly in the mountain and coastal areaswhich haveunique scenery. Changing climate and unique geographical environment is easy to cause the geological disasters such as collapse, landslide and debris flow.These travel security problems have had a huge impact on the development of tourism in our country, and take serious threat to the national people’s life safety and property. And these travel security problems like driving in traffic safety, security problem such as geological disaster risk early warning and release need to cause the attention of people. Therefore, information management research in the field of tourism safety is very important, especially the geological disaster data information management.Combined with remote sensing, geographic information system, the modern information processing technology, to developthe characteristics, location and layout of the natural geography resources of tourism reasonably, and solve resources waste and the geological disaster existed in utilization of tourism resources scientifically. Researchinggeological hazard data management of tourism destination, provide support for the general management of tourism information, laid a solid foundation both for the position of the information management system of tourism services and tourism emergency rescue development, and ensure the sustainable development of tourism.In the era of big data, the development of cloud computing, Internet, mobile Internet and "Internet +" promote the development of the tourism industry. Tourists from group to individual clients and road development, tourism industry demand becomes to the personalized demand, data volume also increase. Involved in the tourism safety data, especially the geological disaster data belongs to typical large data, with various types, large amount, data changes fast and other characteristics, difficult to organize, operation and unified management. So it needs all kinds of data resources coordination and integration. Tourism information management and tourism service faces huge challenges. The traditional tourism system build management method is not applicable, it needs data thinking and collaborative services way to build data oriented architecture.And using this way to solute data integration of tourism, tourist regulation, information integration, sharing of tourism and tourist service coordination, which data with the characteristics of space information.At present there are some problems in the tourism resource management.1, Geological disasters affect sustainable development of tourism, geological disaster data management is imperative.Tourism geological disaster data is the typical big data, most of them come from remote sensing image data and sensor monitoring data, and they are large amount of data and various types. Geological disaster has the characteristics of clusters, the chain reaction, which cause data in the physical process of geological disaster need real-time monitoring, real-time release. Backpacking, road trips, and other forms of tourism development makes the tourists’ demandsof transportation meteorological data, location service data and geological disasters increasing on the way of travel.In tourism security, the geological disaster data have high requirement to the real-time and predictive, it increases the difficulty of management. Geological disasters with sudden and devastating are huge threat to scenic spots and tourist. So the geological disaster data management is imperative.2, Tourism resource synergy service problems need to solve in the era of big data.The development of internet especially mobile Internet is enriching the tourism resource data source. In the tourism services scenic area weather query, traffic query, hotel information query and so on all need tourism resources mutual coordination from network world data and physical world data. Location service play an important role in tourism service, synergy between tourism traffic data, government information data and accommodation catering data is the premise of service delivery.3, "Isolated island" problem is highlighted in the system constructionof tourism resources.At present, the scenic area, the government and the enterprise construct the system from their own interests, with different system architecture and data types, which causing data can not to be shared and exchanged between the systems, and changing into "isolated island". It not only increases the construction cost, but also wastes the data resources. It is critically needed to build a tourist information management system that can fuse tourism data and share resources fully.Aimed at the problem of shared management and collaborative service existing in tourism resources data, this thesis takes the application provided by tourism geological disasters data in the collaborative services as the research object. Based on subjects "research on space information network service model of client aggregation service " and " smart tourism and intelligent public traffic system based on Beidou navigation", based on the DOA architecture which is the team early research results, this thesis research on the major theory, key technology and architecture, which related to "research on technology architecture of geological hazard data collaborative service in tourism security ".The main research contents of this thesis are as follows:1. Research on system construction method of tourism information management under the era of big dataIn the era of big data, the tourism data has characteristic of massive, multi-source, heterogeneous and others, this brings enormous challenges to data management. Tourism data is typical big data. Traditional system architecture has been unable to meet the growing demand for data management. It needs new system construction method of tourism information management. Research on the data view of the age of big data, data is the connecting link between the virtual world and the real world. Our study group have put forward G/S model to solve the problem of the descent of the efficiency of the server aggregation service in the form of integration of client terminal service when the number of users and concurrent access increases. In the era of big data, G/S model evolve to data oriented architecture(DOA), research and analyze its structure and characteristic. Then research the platform architecture of DOA. And implement system construction method of tourism information data oriented in the era of big data.2. Research on the classification and organization management of tourism dataTourism data is one kind of big data with assorted kinds and complex structure. Data classification is the prerequisite for the organization and management of data. Study on data classification, according the use of tourism data, itcan be divided into different data sets. Research constructing ontology model of tourism data, using the conception, establish ontology model for different travel data. Research the construction process of travel data knowledge base. Through the expression of OWL, under the support of expression-unified ontology model, establish thetravel resource knowledge base. Based ontourism resource and semantic environments and application scene of tourism theme, constructed the field oriented knowledge base, and realized form expression of knowledge. Under the support of data register center, research on the organization and management of the tourism data.3. Research on data oriented collaborative service model of tourism dataResearch on collaborative service data oriented. Research the collaborative service work mode of tourism data. Data dispose process includes data collection, transmission, analysis, mining, fusion and others. Research on key technologies which including data registration, data retrieval, data storage, data mining, data visualization, and research on collaborative service specification of tourism data. It includes data standard specification for tourism industry, tourism collaborative service metadata and tourism collaborative service markup language.4. Research on the collaborative service architecture of tourism data based on DOAResearch the collaborative service mechanism of tourism data based on DOA. Research on the cooperative service management of tourism data, which includes tourism data registration center, tourism data authority center, tourism data exception center. To research on the architecture of tourism data collaboration service, firstly we should to establish collaborative service architecture based on DOA,secondly should research on tourism collaborative services markup language TCSML, grammar and functional design of the markup language. And finally realize the function of collaborative service architecture based on DOA in the form of application of position service.5. Research and build tourism geological disaster data collaborative management system based on DOALocation-based service as concrete realization of collaborative service, based on the collaborative service architecture of tourism data based on DOA to design and construct tourism geological disaster data collaborative management system. Research on the key technology such as data collection, data efficient storage, which related togeological hazard data and remote sensing image data intravel industry. Research onintegrated display of time and space correlated data and collaborative service of geological disasters data.The mainly innovative points and results in thesis are as following:1. Put forwards a collaborative service mechanism based on DOAMake a difference with the traditional collaborative service, this thesis proposes a collaborative service mechanism based on DOA, which is a data oriented collaborative service, starting from the data and making the data as the core to break the system boundaries. Through the coordination of different sources of data across the system, under the support of the data management center, provide the service for application unit in accordance with the standard of data exchange and sharing.Managing the data from the data layer to the application layer by standard of the data exchange and sharing. Solve the difficulty problem of data acquisition, analysis and processing in the process of transmission, mining and fusion, and realize information sharing and exchange. The data acquired, transmitted and stored by data layer make registration and other managements in the platform layer in the form of metadata, including data access, data scheduling by the data exchange and sharing standard. The application layer makes data mining and analysis which managed uniformly by the platform layer. It provides the corresponding services for specific applications of different industries and different systems.2. Put forwards a constructing method of ontology model of tourism data based on DOATravel data with various types and complex structure needs to sort out the different types of tourism data, establishing ontology model. This thesispresents a constructing method of ontology model of tourism data based on DOA.Establish a classification system covering multiple resourcesby combing the different types of tourism resources. The ontology model includes more than ID, title, subject, type, time, location, description, keywords, sources, relevant multimedia information and etc. Structure the ontology model with unified expression of tourism resource data based on DOA, so as to support the management of different types of tourism resources. On this basis, construct the association relationship of different types of tourism resources; express different themes, so as to support intelligent recommendation of tourism scenery and intelligent plan of tourism route. Under the support of ontology model with unified expression, through the expression of OWL, established tourism resources knowledge base. Based ontourism resource and semantic environments and application scene of tourism theme, constructed the tourism field oriented knowledge base, and realized form expression of tourism knowledge.3. Build a collaborative service system framework of tourism data based on DOAThe existing system architecture constructs the system based on the traditional business oriented ideas. But once the business needs changes, the whole system has to reinvent the wheel. So it absolutely cannotmeet the needs of technology architecture in the era of big data. As a typical representative of the big data, Tourism data has the characteristic of 4V+C. The problem of data integration management and other issues can be resolved through the DOA architecture. This thesis builds a collaborative service system framework of tourism data based on DOA. Taking the tourism cooperative service markup language TCSML as a link, and achieve collaborative service mechanism. This framework is combined bytourism collaborative service model and DOA, its core is constituted by the data layer, platform layer and application layer. It usesthinking of data resource pool and data ecosystem to manage tourism data and application. This framework making data as center and using thinking of data oriented to integration and management ofbig data which is heterogeneous, multi-source, and multi-dimensional and multi type, and constructed large-scale system by small fragmented application.It adapts to data thinking in the age of big data.The framework using tourism enterprisesdata, government data, tourism scenic data from differentsystem, through cooperative service oftourism big data, provided personalized application services for the corresponding travel industry enterprises and individuals.The main results in this thesis are as follows:Based on G/S model and data oriented architecture(DOA) researched by the group, in the background of big data era, combined with development of the tourism informationization, using cloud computing technology, the internet of things technology and remote sensing technology, etc., we study markup language(TCSML), mechanism, the overall framework of the tourism big data collaborative service. Building one system framework of geological disasters data collaborative service in tourism security. In the field of tourism security, take location service as the foothold of the framework, realize different services of tourism geological disaster data by collaborative among research regional data in the field of tourism security.