Zhejiang University

Xiaoyu Tang

Xin Wang

Chunjie Yang

Kunwei Lin

Wenhai Wang

A method and device for blast furnace state monitoring based on multi-modes fusion. In the process of blast furnace state monitoring, the concept of sub-mode is introduced, and the method for pre-acquisition and multi-modes weighted fusion by sub-mode is proposed to monitor blast furnace state. After preprocessing the main parameter data of the blast furnace, several sub-modes of the blast furnace and their corresponding blast furnace state indication variable data are obtained by means of a mean shift clustering algorithm. Taking the real-time parameter data of the blast furnace as inputs, the Euclidean distance between the real-time parameter data of the blast furnace and each sub-mode is calculated, and the sub-modes are weighted and fused according to the distance, and the fusion result is the real-time blast furnace state, so as to realize the real-time state monitoring of the blast furnace in a smooth operation.

Method and device for monitoring blast furnace state based on multi-modes fusion

Disclosed is a wind turbine layout optimization method combining with a dispatching strategy for the wind farm. In the wind farm micro-siting stage, the installed wind turbines number and the arrangement positions are optimized. In this method, the dispatching strategy of wind turbines is considered during the layout optimization of wind turbines, and the axial induction factor of each wind turbine is introduced into the layout optimization variables. The dispatching strategy of maximizing the wind farm power generation is combined with the layout optimization of wind turbines in the construction stage of the wind farm, so that the wake effect is effectively reduced and the capacity cost is reduced, which meet the requirement of actual wind farm. A hybrid optimization algorithm is proposed in this method, with a greedy algorithm to optimize the turbine number and a particle swarm optimization (PSO) algorithm to refine the turbine layout scheme.

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Hangzhou, China

Xiaoyu Tang