Abstract In order to improve the accuracy of on-site facility monitoring in power infrastructure, a node fusion method based on wireless sensor collection for on-site facility monitoring in power infrastructure is proposed. This method collects monitoring data of power infrastructure on-site facilities through wireless sensors. It combines data fusion technology with the least squares integration method to remove abnormal data, such as noise in the environment of power infrastructure on-site. Using an adaptive genetic algorithm and floating search algorithm to extract the optimal feature subset of power infrastructure site monitoring data and implementing node fusion of power infrastructure site monitoring data collected by multiple sensors based on an adaptive weighted average algorithm. Through experimental verification, this method can strengthen the accuracy and reliability of monitoring systems data while reducing energy consumption and increasing data throughput. This node fusion method can effectively improve the performance of the on-site facility monitoring system for power infrastructure construction, providing strong support for the safe operation of power facilities.
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