In order to strengthen the management effect of medical equipment

an Internet of Things auxiliary positioning system for medical equipment based on modified particle swarm optimization algorithm is designed to improve the auxiliary positioning effect.Utilizing an RFID intelligent reader to perceive the medical device information recorded in the tag

and transmitting the perceived medical device information and reader coordinate information to the network transmission layer through the ZigBee network.The medical equipment auxiliary positioning module in the application layer calculates the coordinates of medical equipment.Optimize the coordinates of medical equipment through Kalman correction mechanism and modified particle swarm optimization algorithm to obtain the optimal auxiliary positioning coordinates of medical equipment.The experiment proves that the system can effectively perceive medical device information

achieve auxiliary positioning of medical devices

and the auxiliary positioning accuracy is high.When the population is 40

the auxiliary positioning time of the system is shorter

and the power consumption required for auxiliary positioning is smaller.