At some point in the future, countless micro-satellites and drones will float above the earth, constantly collecting various data on the atmosphere, terrain, oceans and cities. These data are transmitted in real time to the supercomputer center on the ground through a high-speed quantum communication network. In the supercomputer center, a huge screen displays real-time global weather and disaster monitoring data. On the screen, a complex machine learning model is running, which can analyze massive amounts of data to predict weather changes and potential disaster risks. This model was jointly developed by a team of top scientists and engineers around the world, and it integrates knowledge from multiple fields such as meteorology, geology, and oceanography. As the model operates, an impending typhoon warning appears on the screen. The warning information is quickly spread to the potentially affected areas through intelligent algorithms, and residents receive warning notifications on their mobile phones, televisions, and social media. At the same time, the city's intelligent transportation system begins to adjust traffic flow to ensure that rescue vehicles and supplies can arrive quickly. When a disaster occurs, an emergency management system driven by artificial intelligence is immediately activated. This system can monitor the disaster situation in real time and intelligently allocate rescue resources. Drones quickly fly to the disaster area, conduct aerial reconnaissance, assess disaster losses, and transmit data back to the command center in real time. Rescue robots and autonomous vehicles on the ground carry rescue supplies and medical equipment and quickly reach the disaster area to carry out rescue operations. In the command center, a virtual reality [...]