As a relatively young airline in China, Kunming Airlines urgently requires an intelligent data analytics and visualization platform based on big data technology. This platform should flexibly support rapid analytical models across multiple domains including passenger services, e-commerce, maintenance, cargo, and scheduling. The goal is to drive data-driven improvements in air cargo marketing and passenger services, accurately grasp market trends, uncover passenger potential value, actively develop frequent flyer programs, enhance operational efficiency, enable refined management, and increase profitability.

Based on the traffic conditions, vehicle flow, and meteorological information of the Anhui Province expressway network, combined with service area business operations and consumer spending,supply chain data, a association analysis is conducted to examine the relationships among these datasets. A model is established to reveal the relationship between service area operational revenue and incoming traffic volume.

A city airport is developing an intelligent data center application system that integrates data aggregation, governance, application, intelligent service algorithms, and comprehensive visualization. Built on a cloud computing platform and various business systems, it aims to meet data management and intelligent operational needs. The system supports both data asset operations and sharing, as well as integrated business applications, ultimately maximizing the value of the airport’s data assets.

Develop an integrated visualization and monitoring platform tailored to the airport group's characteristics. Leveraging big data, IoT sensing, virtual simulation, and digital twin technologies, the platform enables intelligent, precise, and scientific management of personnel, aircraft, and equipment. This enhances operational efficiency, management levels, and decision-making capabilities to support comprehensive airport control.

A group company is a large, diversified enterprise operating across multiple regions, with businesses spanning airports, ports, intercity passenger transport, and logistics services. It manages several airports, and this project focuses on the construction and implementation of big data and cloud platforms for two of its airports.