In traditional models, issues such as delayed responses, blind decision-making, and inefficient scheduling not only exacerbate disaster losses but also restrict the ability of Communication Service Providers (CSPs) to fulfill their social responsibilities and achieve commercial value. For CSPs, communication resilience is a core competitiveness, while vertical markets (such as government affairs and energy sectors) rely on reliable communication to reduce the impact of disasters. With the help of AI-Agent clusters and "Five-Intelligence" digital employees, passive responses can be transformed into active prevention and control: the achievement of the "410" goal has even reshaped industry standards. This not only enhances network resilience but also significantly boosts our trust in the public's minds — which is a more precious asset than any revenue. This breakthrough not only improves the service premium capability of CSPs but also promotes vertical industries to build a safer operational ecosystem. The Emergency Communication Support System has overcome three core bottlenecks in traditional emergency communications: delayed response, insufficient decision-making basis, and extensive resource scheduling. It builds an AI-Agent cluster based on the large model of the emergency communication industry, which real-time integrates multi-dimensional data such as meteorology, geography, and equipment to generate dynamic risk maps and minute-level scheduling plans. Through multimodal analysis, it realizes intelligent interpretation of disaster situations and precise risk positioning, improving decision-making efficiency. It innovatively integrates reinforcement learning to predict township-level base station failures, and relies on the "Five Intelligences" digital employees to realize the full-chain automation of event verification, report generation, and resource allocation, providing a technical engine for achieving the "410" core goal of "emergency forces arriving within 4 hours and ensuring basic communications within 10 hours". The system reshapes the communication resilience system with intelligent agent collaborative decision-making, multi-hazard simulation and deduction, and self-optimizing scheduling algorithms, building a precise and efficient intelligent defense line for public rescue.