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Models in DIGITbrain

Introduction

A model in DIGITbrain is an asset that contains the knowledge related to a specific industrial product instance (i.e., a concrete manufacturing machine or production line), which can hence describe and forecast the behavior of such an instance when specific operating conditions are given (n.b., the process of forecasting a system’s behavior according to specific operating conditions is also known as model evaluation).

Pre-requisites

Models must be accessible from Algorithms for evaluation, thus they must be located in the specific DIGITbrain Model repository.

Describing Models

For a closer look at the fields available for Models, use the following resources:

Further reading...

This section takes an in-depth look at some of the Parameters fields required to describe this asset:

In-slots and Outputs

These fields have the same structure, detailed below. They include, as an array of objects, all inputs and parameters (In-slots) or Outputs to be defined for the Model to be evaluated, such as:

  • Key This field is of the type of group.key, e.g., type.name of each variable
  • Name This is a human-readable name of the variable
  • Dimensions This field describes the number of dimensions of the variable to treat it as a scalar, a vector field, etc.
  • Is-continuous This field describes whether the variable is continuous or discrete
  • Units This field contains several subkeys, as it follows
  • Unit This field indicates the unit of measurement of the variable (e.g., s, Pa, m/s, etc.)
  • Exponents This field contains an array of numbers defining exponents for the 7 base SI units, i.e., Length - meter (m), Time - second (s), Amount of substance - mole (mole), Electric current - ampere (A), Temperature - Kelvin (K), Luminous intensity - candela (cd), Mass - kilogram (kg). For example the derived For example N would be represented by the array {1, -2, 0, 0, 0, 0, 1}
  • Offset This field contains the offset scale, if needed (e.g., K to ºC conversion)
  • Scale This field describes the order of magnitude of the measurement unit scale, e.g., 10^-3 for values expressed mm
  • Default-value This field contains the default value for variable

  • Ranges This field is an array containing both max and min values of the variable

    Key:
Name:
Dimensions:
Is-continuous:
Units:
  Unit:
  Exponents:
  Offset:
  Scale:
Default-value:
Ranges:

    Key:
Name:
Dimensions:
Is-continuous:
Units:
  Unit:
  Exponents:
  Offset:
  Scale:
Default-value:
Ranges:
CosimSolverInfo

Optional: This object is made up of several fields that are optional and only needed in case of co-simulation Type (Description field) only. The additional fields needed in co-simulation are: * Dependant FMUs Contains a field with an array of URI for dependant FMU localisation * OS Requirements Contains a set of fields defining OS requirements for co-simulation * Hardware Requirements Contains a set of fields defining Hardware requirements for co-simulation

Dependencies:

Key:
osArch:
osType: 
osDistribution:

recommendedNumberOfGPUCores:
minimumNumberOfGPUCores:
recommendedGPURAM:
minimumGPURAM:
recommendedRAM:
minimumRAM:
recommendedCPUs:
minimumCPUs:
requiredDiskSpace: