An Implementation of Power IoT Time Series Data Based on InfluxDB

With the rapid development of the Internet of Things in electricity, various professional devices have begun to scale up their integration into the Internet of Things management platform. This article proposes a temporal data partitioning method based on InfluxDB to aim the issues of high volume data storage and low retrieval efficiency in the largescale application of the Internet of Things in power. This method categorizes the collected data reported by a single edge IoT agent according to business scenarios, Based on a certain load balancing strategy, store the data in different databases and tables into a temporal database, and set different storage strategies for different types of data to achieve efficient storage and fast retrieval of data. At the same time, based on the CQ strategy of InfluxDB, the statistics of the entry and exit message flow and message number of the IoT management platform have been achieved, achieving an overall application solution for power IoT timing data. The on-site operation is stable, and the expected application results have been achieved.