知识-场景耦合的江苏决策气象服务移动端应用系统研发与实践

Development and Implementation of Mobile Application System for Jiangsu Decision-Making Meteorological Services with Coupling of Knowledge and Scenarios

摘要:

为深度融入地方综合防灾减灾指挥体系，助力决策者实时、便捷获取气象信息支持，江苏省气象局全力推进决策气象服务移动应用（APP）系统的研发与应用。APP以用户需求为导向，精准提炼关键信息，着重优化交互体验，通过强化多源气象数据、信息、知识与多样化应用场景的融合分析，提供全链条、专题化服务；通过研制基于用户行为和天气特征的个性化推荐技术与策略，开展分众式、定制化服务；依托DeepSeek-R1-Distill-Qwen-32B大语言模型，集成语音识别与动态对话状态跟踪技术，研发气象会话机器人——苏小策，支持智能问答和功能导航，实现会话式服务。江苏决策气象服务APP针对性强、实用性高，直通保障全省防灾减灾关键部门，在灾害性天气防范应对中发挥前置提醒、即时叫应和持续保障作用，为决策气象服务能力建设提供了可复制、推广的技术路径。

Abstract:

To enhance the efficiency of real-time meteorological data access for local disaster prevention and mitigation authorities, the Jiangsu Meteorological Bureau spearheads the development of a specialised Decision-Meteorological Service Mobile Application (APP). The APP, driven by user needs, adopts a strategic approach to prioritise key decision-making factors while enhancing the user experience. The APP integrates multi-source meteorological data, expertise, and diverse application scenarios to provide comprehensive and scenario-based meteorological services. By deploying behaviour-driven and weather-integrated recommendation algorithms, it enables personalised service customisation for different user groups. Leveraging the “DeepSeek-R1-Distill-Qwen-32B” large language model and integrating speech recognition and dynamic dialogue state tracking technologies, the meteorological conversation robot “Su Xiaoce” is developed to support intelligent question-and-answer and function navigation to deliver conversational services. Given its precision-tailored and operationally effective service, the APP is fully implemented across key disaster prevention departments in Jiangsu Province. The system provides preemptive early warnings, real-time emergency alerts, and sustained operational support during disaster weather prevention and mitigation, offering a replicable and promotable technical path for the construction of decision meteorological service capabilities.