A General Situation Assessment Model Based on Rule Extraction

In this paper, a general situation assessment model based on knowledge obtained is proposed, that is, gathering multi-source data, obtaining knowledge automatically using modified Rough Set algorithm, and the general situation assessment being realized by utilizing the modified blackboard model in dynamic circumstance. This model is applied into bus protection of hydroelectrical simulation system to solve high complexity, redundancy of rule, and lower generality of former system. Through the experiment in Jilin Fengman hydroelectrical simulation system, validity and application value of the method has been proved.

[1]  Scott Y. Harmon,et al.  Sensor data fusion through a distributed blackboard , 1986, Proceedings. 1986 IEEE International Conference on Robotics and Automation.

[2]  James Llinas,et al.  Multisensor Data Fusion , 1990 .

[3]  Janusz Zalewski,et al.  Rough sets: Theoretical aspects of reasoning about data , 1996 .

[4]  D. L. Hall,et al.  Mathematical Techniques in Multisensor Data Fusion , 1992 .

[5]  Pierre Valin,et al.  Multi-agent data fusion workstation (MADFW) architecture , 1998, Defense, Security, and Sensing.

[6]  Pierre Valin,et al.  Fusion of imaging and nonimaging data for surveillance aircraft , 1997, Defense, Security, and Sensing.

[7]  J. Llinas,et al.  Blackboard Concepts for Data Fusion Applications , 1993, Int. J. Pattern Recognit. Artif. Intell..