Scaling

Fig. 11 Schematic overview of logical data model for Scaling

class scaling.models.Dimension(*args, **kwargs)

Scaling can be performed using one or more dimensions. Each dimension will have an inspected (reference) value and minimum and maximum value.

Parameters

• id (UUIDField) – Primary key: Id

• created_at (DateTimeField) – Created at

• updated_at (DateTimeField) – Updated at

• title (CharField) – Title

• minimum (FloatField) – Minimum

• maximum (FloatField) – Maximum

• inspected_value (FloatField) – Inspected value

• ordering (PositiveIntegerField) – Sorteer op

Relationship fields:

Parameters

• scaling (ForeignKey to Scaling) – Scaling (related name: dimensions)

• unit (ForeignKey to Unit) – Unit (related name: dimension)

Reverse relationships:

Parameters

legacydimension (Reverse OneToOneField from LegacyDimension) – The legacy dimension of this Dimension (related name of dimension_ptr)

class scaling.models.Scaling(*args, **kwargs)

Scaling on environmental data is performed using a formula and its parameters. The scaling is always done with respect to a given reference input.

The options for scaling formulas are:

• linear

• power

• log

• exp

Parameters

• id (UUIDField) – Primary key: Id

• created_at (DateTimeField) – Created at

• updated_at (DateTimeField) – Updated at

• formula (CharField) – Formula

• parameters (ArrayField) – Parameters

• reference_input (ArrayField) – Reference input

• reference_output (ArrayField) – Reference output

Relationship fields:

Parameters

environmental_profile (OneToOneField to EnvironmentalProfile) – Impact analysis (related name: scaling)

Reverse relationships:

Parameters

• legacyscaling (Reverse OneToOneField from LegacyScaling) – The legacy scaling of this Scaling (related name of scaling_ptr)

• dimensions (Reverse ForeignKey from Dimension) – All dimensions of this Scaling (related name of scaling)

class ScalingFormulas(value)

An enumeration.