The hardware equipment and monitoring systems used in various stages of production of renewable energy stations are provided by different manufacturers

resulting in the data format and communication protocols between various business systems can't be standardized. This data non-uniformity makes the business systems can only run independently of each other

bringing a lot of inconvenience to the operation and maintenance and coordinated control of the field operation and maintenance personnel

and part of the system even falls into the situation of no one maintenance. Based on the data characteristics of renewable energy stations

an integrated monitoring scheme of renewable energy is proposed based on pre-processing data framework. By introducing the architectural design and workflow

a comprehensive data processing driver applicable to the integrated monitoring of renewable energies and data storage technology based on a hybrid architecture is proposed

the implementation of the data acquisition

standardization and storage ideas are described in detail

and application cases is combined to reflect the system performance improvement brought by this solution. This solution can be adapted to renewable energy monitoring needs of different scales

ensure the real-time and security of massive data processing under high concurrency processing scenarios

and significantly improve the data analysis capability of renewable energy stations

providing an important reference for the development and improvement of related systems.