Intelligent Modeling of Economic Growth in the Air Transport Industry based on Sensor Data in the Internet+ Environment

As an important transportation node connecting economic growth center cities and international markets, airports are playing an increasingly important role in the construction of transportation infrastructure in China. The role of the airport has evolved from a simple long-distance transportation station to a commercial infrastructure with great strategic significance. Fiber optic sensing system will produce a huge amount of data in the large range of all-weather and uninterrupted monitoring process, which brings the severe challenge of data storage and transmission. Therefore, an adaptive real-time compression and storage technology is proposed in this paper. The results show that this method can significantly improve the storage efficiency of optical fiber sensing signals.