1. Integrate resources and improve computing power

Continuously optimize intelligent transportation governance, realize dynamic scheduling of resources, and provide services on demand with super computing power.

2. Optimize the model algorithm and adapt to multiple scenarios

With the industry large model as the key driver, the model is continuously verified by bringing the model into industry practice, and continuously giving guidance and optimization for problems to empower the implementation of different application scenarios.

3. Data sharing and overall computing

Through the efficient management and scheduling of various computing resources, it seamlessly connects to cloud storage downwards and calls various storage resources on demand, fully improving the efficiency of data reading and writing, and providing high-speed computing services for urban transportation business systems.

4. High availability and stability

Ensure the high security, high efficiency and high accuracy of the transportation industry, and at the same time collect and centrally manage all kinds of front-end IoT data to provide a data foundation for upper-layer business applications.

1. Civil aviation business

Facing the business pain points of air traffic control, airports, and airlines, we will promote the industry large model, and reduce costs and improve quality in air traffic control review and analysis, airline work card preparation, and airport safety operation.

2. Rail transit business

Based on the Inspur cloud platform, we will build a smart urban rail computing power cloud data base to provide cloud migration and data governance services for urban rail production, management and external service triple network applications.

3. Highway business

Relying on the “cloud + big data platform”, it empowers the precise management and control, fine operation and accompanying services of expressways, and focuses on building key applications in industries such as smart operation, smart tunnels, quasi-all-weather communication and smart management and maintenance.

4. Tunneling services

In engineering survey, design, construction, and O&M scenarios, it focuses on data elements and provides an integrated solution of “cloud-network-edge-terminal, cloud-digital intelligence”. For the field of tunnels and underground engineering, it provides rapid identification, efficient assessment, and accurate recommendation for disaster risks, empowering safe tunnel construction, intelligent operation and maintenance, reducing staff and costs, and improving quality and efficiency.

1. Nantong Urban Rail Transit Cloud

Inspur Cloud helps build a rail transit cloud for Nantong Urban Rail Transit to reduce energy consumption by 50%, increase equipment utilization by 20%, and reduce human resources and management costs by 50% based on computing power and driven by algorithms.

2. A massive data governance project of an air traffic control bureau

Through the massive data governance of an air traffic control bureau, a unified data resource sharing application center is built around data elements, and industry-level data governance specifications are built to drive air traffic control application innovation with high-quality data.

3. Digital twin platform for big data mining and disaster prediction and prevention and control of underground engineering

Focusing on disaster identification, disaster analysis and disaster disposal in the field of geotechnical underground engineering, we will create new products in the geotechnical industry and realize the “intelligent, less manpowered, and unmanned” development of geotechnical engineering.