During the presentation, TianbaoNet shared its experience in developing GNSS and Beidou solutions for real engineering projects. Rather than focusing only on positioning accuracy, the company discussed how high-precision technology can be integrated into complete monitoring systems that are reliable, easy to deploy, and suitable for long-term operation.

One of the key topics was the application of Beidou technology in the water resources sector. The team introduced several project examples and explained how multi-source data from satellites, ground sensors, water monitoring equipment, and engineering infrastructure can work together to improve monitoring efficiency and support early warning.

The presentation also covered the company's experience in maintaining stable positioning performance in complex environments and its ongoing work in automated monitoring and geospatial data collection.

In addition to the presentation, TianbaoNet exhibited its products and solutions during the event. The team met with representatives from organizations involved in water conservancy, transportation, energy, surveying, mapping, and big data.

The discussions focused on practical cooperation opportunities, including project implementation, solution development, technical collaboration, and talent training. These exchanges provided valuable insight into local industry needs and created a good foundation for future partnerships.

For TianbaoNet, the event was an opportunity not only to introduce its technologies but also to strengthen connections with industry partners in Southwest China.

The company will continue to develop high-precision GNSS and Beidou solutions for surveying, infrastructure monitoring, water management, and other professional applications, while working with partners to bring these technologies into more real-world projects.

As demand for accurate positioning and intelligent monitoring continues to grow, TianbaoNet remains focused on providing practical, dependable solutions that help customers improve efficiency and make better use of geospatial data.