电网管控任务需求-知识适配通用模型*

摘要

The knowledge automatic selection and matching are the inevitable requirements of the intelligent development of power grid management and control decision support system. In view of the lack of knowledge matching algorithm and model in present power grid's management and control, this paper presents a power grid's management and control task demand--knowledge matching model, to help staff accurately and rapidly access to the necessary knowledge before making a decision. The model firstly analyzes the task demand, then according to the atomic task set mapping table it uses the reverse reasoning method to reasoning out the atomic task sequence of operations and the knowledge required by each atomic task execution. Finally, through an example, it validates that, according to task demands, the model can effectively select and match knowledge for power grid's management and control decision making. This model can avoid repeatedly searching or incomplete knowledge. In addition, the model is able to make the task execution process clear, and guarantee the safe execution of the task and avoid repetition.%　　知识的自动选择和适配是电网管控决策系统智能化发展的必然要求。本文针对目前缺乏电网管控系统中知识适配算法和模型的现状，提出了一种电网管控任务需求-知识适配通用模型，帮助工作人员在需要做出某种电网决策时，准确快速地获取必备的电网知识。该模型首先对任务需求进行分析，之后利用逆向推理的方法，根据原子任务集映射表，推理出原子任务的执行操作序列及执行各个原子任务时所需要的知识。最后，通过实例验证该模型在电网管控决策过程中能根据任务需求对知识进行有效地适配，避免对知识的重复查找或者所需知识不完备的现象。此外，该模型能够明确任务的执行过程，保证任务的安全执行且避免盲目重复。