Design and Application of Intelligent Search Framework for Power Grid Control Cloud

As the electricity grid industry continues to grow rapidly, more demands are being placed on the dispatching system's intelligence and digitization. Under these circumstances, this paper deeply integrates intelligent Internet of Things technology, and systematically investigates the cloud platform's intelligent search structure for power grid control in view of the data density and business complexity of power grid control cloud platform. This framework not only integrates the professional vocabulary modeling and algorithm for term segmentation in the power domain using the power feature, effectively improving the professionalism and accuracy of the search, but also innovatively introduces the multi-factor relevance sorting algorithm to achieve efficient optimization of search results. Furthermore, this paper uses the data processing and analysis capabilities of the intelligent Internet of Things to construct a power knowledge graph association model, transforming the scattered power grid data into a structured knowledge network, greatly enhancing the semantic understanding and intelligent reasoning capabilities of the search system. Considering the essential technologies mentioned above, the paper successfully constructed a power grid intelligent search application for the control cloud, which can achieve comprehensive coverage and intelligent retrieval of power grid models, operating status, historical events, technical information and service resources, providing unprecedented data insights and decision support capabilities for dispatching and operation business.