Emergency Management Bureaus

massive contingency documents are hard to search during incidents; multi-source alerts are aggregated manually with lag; wrong AI-generated disposal steps carry extreme safety risk.

• 01There are massive emergency plans, disposal standards, and safety regulations documents, making it difficult to quickly retrieve corresponding disposal plans for sudden accidents.
• 02Multi source alarm data (fire, meteorological, hydrological, geological) are manually summarized and analyzed, but the response is delayed.
• 03Sudden events require collaborative analysis and judgment among multiple positions, and manual communication is inefficient and prone to overlooking risk points.
• 04大模型易生成错误处置流程，直接影响安全生产与应急救援，风险极高。
• 05The manual writing of emergency records, drill reports, and hazard investigation reports is a huge workload.

an emergency multi-agent system — alert fusion, plan retrieval, hazard analysis, report generation — on a private knowledge base of local contingency plans, with mandatory dual-agent cross-checking to block incorrect disposal outputs. End-to-end delivery: compliance review, deployment and acceptance; koolda provides industry agents, the risk-control framework and FDE training.

• 01搭建应急研判多智能体系统：告警聚合 Agent、预案检索 Agent、隐患分析 Agent、报告生成 Agent、风险校验 Agent。
• 02全量导入本地应急预案、处置规程、安全法规，构建私有应急知识库。
• 03自动聚合多源监测数据，智能生成风险研判报告、应急处置建议。
• 04强制双智能体交叉校验，杜绝错误处置方案输出。
• 05自动生成隐患排查台账、演练总结、月度安全分析报告。
• 06一站式交付保障：安全合规审核、算力部署、项目落地、客户验收全程护航。
• 07koolda 提供应急行业专属智能体配置、风险防控体系搭建与 FDE 技术培训。