中文摘要：

针对配电网监控中量测点多、变化快，造成关键信息传输产生较大延迟的问题，提出了批量信息的信念-愿望-意图（belief-desire．intention，BDI）智能处理方法。通过建立BDI智能体的五元组模型，对多智能体进行交互分析，构建了公用信息的智能体联盟，综合运用模型自动映射和消息事件触发（message event trigger，MET）的技巧，从业务流和信息流角度进行智能化原型系统实现。利用10kV配电网监控的工程算例进行了交互与性能实验，结果表明：文中方法的处理效率比传统2S轮询方法提高了约70％。

英文摘要：

In allusion to the long time-delay during the transmission of key information due to numerous measuring points in distribution network monitoring and quick variation of measured information, an intelligent belief-desire-intention （BDI） batch processing method is proposed. By means of establishing a quintuple model of BDI agents, the interactive analysis on the agents are performed and an agent alliance of common information is constructed; then synthetically applying the skills in model auto-mapping and message event trigger （MET）, the prototype of the intelligent system is implemented in the viewpoint of business stream and information stream. Taking the monitoring system for 10kV distribution network as example, the interaction and performance tests are carried out, and test results show that the processing efficiency of the proposed method is potentiated by 70% than traditional 2s polling method.