In order to realize autonomy and intelligence for situation awareness, this paper proposes an intelligent situation awareness model based on fractional dimension information mining and multidimensional information reconstruction. First, some new concepts are proposed, the spatial situation perception is established by 3D reconstruction of the input fusion information, 4D reconstruction completes the situation comprehension and 5D reconstruction seeks the situation prediction. The three-level situation estimation model is optimized to a more robust flexible model. Combined with the database system, the reasoning learning mechanism, and the diversified human-machine interface concept, a basic framework of intelligent situation awareness is constructed. Second, the basic process of intelligent situation awareness is provided. Third, based on the flexible configuration method of the situation awareness system and the concept of unmanned weight determination for the situation awareness agents, an efficiency measurement model for the intelligent situation awareness model is also constructed, and an evaluation method for the consistency of multinode intelligent situation awareness is also provided. Fourth, the paper gives a typical electromagnetic situation estimation example for a drilling platform to explain and validate the concepts. Finally, several suggestions are put forward for the next construction of an intelligent situation awareness system.

中文翻译：

---

基于分形维数和多维重构的智能态势感知

为了实现态势感知的自主化和智能化，提出一种基于分数维信息挖掘和多维信息重构的智能态势感知模型。首先，提出了一些新概念，空间态势感知是通过输入融合信息的3D重建来建立的，4D重建完成态势理解，5D重建寻求态势预测。将三级态势估计模型优化为更加鲁棒的灵活模型。结合数据库系统、推理学习机制以及多样化的人机界面理念，构建了智能态势感知的基本框架。其次，给出了智能态势感知的基本流程。第三，基于态势感知系统的灵活配置方法和态势感知代理无人权重确定的理念，构建了智能态势感知模型的效率度量模型，以及多节点智能一致性评估方法。还提供态势感知。第四，本文给出了一个典型的钻井平台电磁态势估计示例来解释和验证这些概念。最后对下一步智能态势感知系统建设提出几点建议。