基于状态任务网络（STN）描述批处理过程，提出了多目的批处理过程的混合整数规划（MIL P）调度数学模型。
Based on state task network (STN) representing process recipes, a mathematical model of mixed integer linear programming (MILP) for scheduling of multipurpose batch plants is presented.
状态监测任务由基于多网络协同推理的方法完成，采用特征融合和时空判决融合技术提高推理效率。
The technique which combine the feature compression, time-space decision fusion and multiple network cooperative inference, is used to improve the inference efficiency in the monitoring.
基于P 2 P结构的分布式网络架构，提出了一种基于活动状态的分布式任务管理模型。
Based on P2P (peer to peer) distributed network architecture, an activity state based distributed task management model is proposed.
基于P 2 P结构的分布式网络架构，提出了一种基于活动状态的分布式任务管理模型。
Based on P2P (peer to peer) distributed network architecture, an activity state based distributed task management model is proposed.
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