A Novel Approach to Discovering Hygrothermal Transfer Patterns in Wooden Building Exterior Walls

To maintain the life of building materials, it is critical to understand hygrothermal transfer mechanisms (HTM) between walls and layers inside walls. Due extreme instability weather data, actual data models HTM—the being collected for buildings using modern sensor technologies—would appear be a great difference from any theoretical models, in particular, wood materials. In this paper, we aim consider variety analysis tools features. A novel approach peak valley detection proposed based on discrete differentiation original data. Not limited measure delays HTM, propose cross-correlation obtain general delay two daily time series, which seems representative series. Furthermore, seasonal pattern combined with correlation reveals reasonable relationship indoor outdoor climates.