SQL database with detailed characteristic measurement results of photovoltaic modules that were subjected to accelerated aging sequences

All measurement results are organized in an optimized database, which forms the information base for setting up models for climate sensitive ageing and degradation processes/mechanisms. The database is structured around the modules (module = device under test), see general scheme given in https://doi.org/10.1002/pip.3090. Modules are logically connected via their specific ageing module groups with strictly associated ageing actions and instances. As stated above, a set of three identical modules is stored together in each specific ageing action (= accelerated ageing test as described in detail in Table 1 of https://doi.org/10.1002/pip.3090) in order to increase the statistical reliability. Those triples are logically grouped in the database with the corresponding acquired measurement results being canonicalized and stored in the database as well. For future applications (modelling), all measurement information is kept as complete as possible; aggregation is avoided.所有测量结果均整理至经过优化的数据库中，该数据库为构建气候敏感型老化与退化过程/机制模型提供了核心信息基础。本数据库以模块（Module，即被测设备）为核心架构，具体架构可参考https://doi.org/10.1002/pip.3090中给出的通用方案。各模块通过专属老化模块组实现逻辑关联，该模块组与严格对应的老化操作及实例绑定。如前文所述，为提升统计可靠性，每个特定老化操作（即https://doi.org/10.1002/pip.3090表1中详细描述的加速老化试验）下均存储一组共三个相同的模块。这些三元组将在数据库中进行逻辑分组，对应采集得到的测量结果也将经过规范化处理后存入数据库。针对未来的建模应用，所有测量信息均尽可能保持完整，避免进行数据聚合操作。