Summary of selling points
Scenic spot introduction/scenic spot strategy route planning/positioning navigation WeChat Alipay online ticket purchase record parking space/car search navigation Scenic spot personnel track and positioning
Panoramic view of the scenic area, distribution of tourists, heat map, QR code for entering the park, self-service settlement, emergency distress response


With the help of advanced technologies such as mobile Internet, big data and cloud computing, the solution of Lanzhong Smart Scenic Spot adopts the principle of German Industry 4.0, and makes full use of the combination of information communication technology and embedded service management technology to help scenic spots step into the era of Internet of Things, save service costs, improve service efficiency, solve service problems, and manage intelligently, so as to formulate development strategies for scenic spot managers and provide effective data titles. Help scenic spots enter the era of intelligent management, saving them and tourists worry, time, effort, trouble, and money! To create a more relaxed, convenient, and comfortable way of travel for tourists, and provide the ultimate travel experience!
Realize automatic perception of scenic resources, provide mobile internet tourist services, achieve dynamic and visual security management, and implement big data analysis for business marketing
Main functional features
1. Realize automatic perception of scenic resources
Comprehensively, automatically, and timely perceive the infrastructure, service facilities, geographical features, natural resources, tourist behavior, and personnel movements of the scenic area.
2. Implement mobile internet tourist services
Electronic ticketing, electronic payment, access control, vehicle guidance, location guidance, voice navigation, trajectory tracking, and information push.
3. Implement dynamic and visual security management
Smart dispatch, emergency plan, safety monitoring, central screen, passenger flow control, LED release.
4. Implementing big data analysis for business marketing
Passenger flow statistics, consumption analysis, consumption forecasting, traffic warning, customer source expansion, decision support.