At present, the management of scenic spots lacks informatization support and services for scenic personnel are not in place, resulting in the lack of attractiveness of the park for tourists. The lack of data collection for scenic personnel and other aspects results in data loss, and it is impossible to expand more commercial possibilities.
Iotcomm adheres to the sustainable development of urban tourism resources and the concept of "people-oriented", starting from the refined management of scenic spots and personalized services for tourists, using smart street light poles as the carrier, integrating various application subsystems to create a set of smart tourism objects The networked big data platform uses the platform's smart management and big data analysis functions to create a new model of smart tourism.
Smart management: Through the smart monitoring unit, it can realize the analysis and management of the security, the flow of people, and the traffic of the scenic spot, the unified switch control of all loops in the scenic spot, and the divisional management of the lighting points, which saves energy and avoids light pollution.
Network services: Provide visitors in scenic spots with Internet access and information release services anytime and anywhere through WiFi coverage to improve the quality of tourism.
Information spreading: Real-time release of dynamic information of scenic spots through the smart release system, bringing value-added services to businesses, and effectively guiding tourists to travel.
Open system: The platform has strong scalability and openness, and can seamlessly connect and communicate with other tourism application systems (such as electronic ticket booking systems, travel portals, etc.).
Monitoring at any time: Equipment failures will automatically alarm, and the alarm content will be sent to the relevant person in charge by means of software, email, WeChat, SMS, mobile phone App, etc.
Data value: Data collection and intelligent analysis of scenic spot information provide more possibilities for further improving scenic spot services and in-depth mining of data value.