The challenging problem of describing and understanding multidimensional temporal data in practice can often be solved by employing Formal Concept Analysis (FCA) and its temporal extension, Temporal Concept Analysis (TCA). These mathematical theories are based on a formal representation of the philosophical notion of concept. Using concept lattices constructed from (temporal) data a general notion of a state of a temporal object is introduced. This notion is granularity dependent such that factorisations of temporal systems with their state spaces and trajectories of temporal objects can be generated easily. This is demonstrated by an example in the chemical industry where the behavior of a distillation column is made semantically understandable by graphically representing seven variables simultaneously.