Design of Emergency Command Aided Decision System Based on LLM

Aiming at the needs for rapid recognition and disposal of emergencies in emergency command scenarios, a design of an auxiliary decision-making system based on large Language model (LLM) is proposed. By leveraging the characteristics of natural language understanding, knowledge reasoning and content generation of LLMs, the efficiency of commanders in handling emergencies and the speed of emergency response can be improved. This system is constructed through the LangChain framework, and adopts technologies such as summary generation, metadata extraction and chain of thought to strengthen the understanding of LLMs for emergency command scenarios and contexts. It can enhance the ability to grasp the situation of emergencies in the form of comprehensive reports, and meanwhile, it can automatically generate disposal plans to assist commanders in making decisions.