基于物联网协议的储能电站全生命周期数据平台设计

储能电站数据的特点主要包括数据量大、不同运行工况下数据存储密度需求不同。本文提出了一种储能电站全生命周期数据平台的设计方案,可用于分散在各地的多个储能电站的数据统一收集和管理。设计方案基于物联网协议MQTT、云边端架构实现。本文提出了基于MQTT协议的云边端三侧的核心设计理念,充分利用了MQTT协议的优势。边侧的变步长数据采样算法,保证了系统数据的品质的前提下,把数据传输量和存储量压缩到最低,从源头保证数据品质的同时保障了系统的经济性。端侧设计了断点续传算法,确保了数据的完整性,体现系统的可靠性。云侧基于成熟的商用数据库和分布式数据库实现,并设计了预先插值计算和缓存机制,弥补了变步长插值带来的效率短板,提升了系统效率,保证系统的可用性。

Design of Full Life Cycle Data Platform of Energy Storage Station Based on Internet of Things Protocol

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.