The use of low cost optical technologies for the mapping of production environments

[摘要] ENGLISH ABSTRACT: The importance of indoor positioning systems (IPS) and object recognition systems has increased in recent years, especially with regard to the digitization of processes and workflows. These systems enable a new kind of automation in the localization and identification of objects and play an important role in the digitalization of the industry. (Liu et al., 2007) However, IPS are not widespread due to their cost issues.In particular, small and medium-sized enterprises (SMEs), which are globally considered as drivers of the economy, are struggling with the digital transformation of their enterprises. Compared to large companies, they do not have the necessary resources and capacities to deal intensively with this topic. In addition, there is a lack of best practice experience and tangible examples of implementation in many areas.The aim of this work is therefore to develop a precise, flexible and yet cost-effective IPS that can be used for a variety of application scenarios.In this thesis, the underlying requirements for IPS in industrial environments are systematically analysed. Based on the knowledge gained, a concept is derived, on the basis of which a demonstrator is then developed.In order to evaluate the solution with regard to the requirements, an extensive theoretical and experimental analysis is carried out on the designed demonstrator.The result is a flexible, accurate and cost-effective IPS that can meet most of the requirements set out in this thesis. The accuracy requirement of less than 1 cm could be reached at working distances of less than 1 m and at larger working distances a lower accuracy of less than 5 cm was achieved. With this thesis, it was possible to prove that high performance values can be realized with a cost-effective IPS that can cover a wide range of industrial applications.

[发布机构] Stellenbosch University