In order to solve the problems of reliability, safety and frequent false alarms in the current operation of the online monitoring system of converter station, a system based on the ubiquitous power IoT advanced technology is reconstructed in this paper.By constructing the platform layer, the system is connected to the IoT management platform and the enterprise mid-station, which realizes the fusion sharing of DC device operation data, reduces the cloud data storage pressure and improves the system service response.Secondly, the intelligent terminal based on the edge computing framework to realize the safe access and ubiquitous connection of various online monitoring devices is designed.The device is deployed as an edge computing node, integrating the algorithm of deep learning to realize the station-side data acquisition, storage, analysis and anomaly identification, which improves the accuracy of the alarm and system operation reliability.Therefore, the optimization of the online monitoring system architecture of the converter station based on the ubiquitous power IoT provides a typical application model for subsequent engineering practice.