Abstract:The characteristics of the data of the energy storage station mainly include large data volume and different data storage density requirements under different running states. This paper proposes a design scheme of the whole life cycle data platform for energy storage stations, which can be used to collect and manage the data of multiple energy storage stations scattered in different locations. The design scheme is based on the Internet of Things protocol MQTT(Message Queuing Telemetry Transport) and the CLOUD-EDGE-TERMINAL architecture. This paper proposes the core design concept of three sides based on MQTT protocol, which makes full use of the advantages of MQTT protocol. A variable step size data sampling algorithm is designed on the TERMINAL side to minimize the amount of data transmission and storage on the premise of ensuring the quality of the system data, which ensures the data quality from the source and ensures the economy of the system. A break point continuation algorithm is designed at the EDGE side to ensure the integrity of the data and reflect the reliability of the system. The CLOUD side is implemented based on mature commercial databases or distributed databases, and a beforehand interpolation calculation and caching mechanism is designed to make up for the efficiency shortcomings brought by variable step size interpolation, which improves the system efficiency, and ensure the availability of the system.