Health Status Fusion Monitoring Method Applied in Intelligent Wearable Devices for Power Distribution Network System Operators

Safe production for power distribution network not only refers to the safety of power distribution network system and equipment, but also requires ensuring the safety of its operators in the context of "people-oriented". In power distribution operations, monitoring the physical health status of operators is particularly important. Intelligent wearable devices can highly integrate with power distribution workers, collect accurate physical data of power distribution workers without being limited by environment and terrain, and quickly analyze and warn of physical signs in advance. Thus, studying fusion methods for monitoring the health status of power distribution network system operators in wearable devices is of great significance for ensuring the personal safety of operators. At present, a number of scholars have conducted research on the health status assessment of power distribution network, but few of them have focused on the very health status of operators. In this paper, a health status fusion monitoring method based on Hammersley sequence initialization squirrel optimization algorithm has been proposed, in order to provide necessary theoretical support for the health status assessment of power distribution network system operators.