Evaluation of technologies for tracking non-intelligent assets

  • Subject:Asset management in modular plants
  • Type:Bachelor Thesis
  • Supervisor:

    Madsen, Marwin

  • Links:Tender
  • This work will evaluate existing technologies for tracking non-intelligent assets and build on them to create a prototype in the VT plant.

Motivation

The process industry is characterized, among other things, by exact specifications for the formulation of a process-engineered product (e.g. drug). This also includes the configuration as well as the parameters of the plant on which production takes place. In contrast to monolithic plants, configurations for production in modular plants are changed several times and often in order to produce the respective desired, partly individualized product. Modules are exchanged, which is made possible by the developments around the Module Type Package (MTP), as well as parameters or assets are exchanged or changed. At present, everything that can be recorded by sensors is tracked and documented with regard to its changes.

At the same time, however, changes are also made that are not automatically recorded because they are either not recorded by sensors and/or are made manually by humans. In practice, this poses a problem because essential aspects that go hand in hand with the necessary flexibility cannot be tracked by the system.


Objectives

The goal of this work is to evaluate existing technologies within and outside the domain of the process industry for tracking non-intelligent assets in the context of these. The asset refers to the level of a plant component such as a stirrer. Based on this, a prototype will be created in the IRS plant for validation.


Real Time Location System (RTLS)
Process Equipment Assembly (PEA) - VT Module