基于深度学习的安全生产智能体交互与动作流执行方法
本发明涉及工业安全生产监控技术领域,公开了一种基于深度学习的安全生产智能体交互与动作流执行方法,包括:获取隐患时空状态描述向量和生产区域空间分布数据集;计算区域威胁清单;按预估到达时间划分梯度时间区间并生成梯度预加载调度计划;利用图注意力网络生成跨分支数据耦合关系图谱;并行执行动作流分支并识别修正需求;通过多智能体协作强化学习架构生成协同修正策略组合;传播约束更新至关联分支;执行跨分支一致性校验;动态更新调度计划并生成处置报告。
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