Collaborative Tools for Integrated Hazard Management

Electrical Distribution Design (EDD), Virginia Tech and Detroit Edison propose development of model-based human-genetic and data mining algorithms that can be fully integrated with other operations and design software applications through attachment to a common model. Work will be based on extension of EDD's existing Generic Analysis approach, which is currently being used commercially for power utility system design, control and operations. Generic Analysis combines concepts from Physical Network Modeling, Linear Graph Theory and Generic Programming to provide a system drawing-based architecture that automatically derives complex spatial, functional, temporal and rule-based interdependencies for large reconfigurable systems at speeds that support real-time monitoring and control. The integrated analysis and dynamic information management capabilities this provides is applicable to any steady state or transient process that can be drawn out as a linear graph of interdependent objects with measurable through and across variables. Combining data mining and human-genetic algorithm concepts with Generic Analysis should significantly increase the amount and complexity of hazard information that can be processed, with an equally significant decrease in the amount and quality of data required for implementation of hazard management and emergency supervisory control for very large, integrated utility and public safety systems.