## 5 Conclusions  
As revealed, the developed methodology based on conceptual modeling allows for accurate and repeatable 3D printing of a dedicated total station protective housing. The measurement results obtained during the laboratory test confirm the correctness of the total station readings taken to the control prisms. The obtained precision remains at the millimeter level, which fully meets the expectations of surveyors and civil engineers regarding automated deformation monitoring systems. The obtained deviation values \(\sigma_{X}\), \(\sigma_{Y}\), and \(\sigma_{Z}\) represent longitudinal, traverse, and height displacements in the geodetic monitoring system. Such values expressed on the submillimeter level indicate the impact of random errors related to common ambient conditions. They are entirely acceptable in geodetic deformation monitoring and illustrate the correctness of the measurements made. However, the authors are aware of some limitations of the proposed solution needing further investigation. First of all, as part of the project, a specific prototype solution was developed, requiring additional tests in different conditions. The studies need to be continued regarding other highly urbanized and rural areas. Undoubtedly, the prototype should also be tested in pure industrial states, such as factories, power plants, or mines. Deformation monitoring is essential in mining areas, which is why all development works should also consider factors related to the typically occurring damages, the impact of aggressive substances, etc. Secondly, the developed technological line should be commercialized in order to reduce the cost of manufacturing the final product. In the current phase, 3D printing itself is relatively expensive and time-consuming, so using it on a massive scale is still a significant limitation. Nevertheless, the authors are conducting further research to streamline and optimize the proposed process.  
Conceptualization, K.K. and M.W.; Data curation, M.W.; Formal analysis, K.K., M.W. and A.Z.-R.; Funding acquisition, K.K.; Investigation, K.K., M.W. and A.Z.-R.; Methodology, K.K. and M.W; Project administration, K.K. and M.W.; Resources, K.K., M.W. and A.Z.-R.; Software, A.Z.-R.; Supervision, K.K. and M.W.; Validation, A.Z.-R.; Visualization, A.Z.-R.; Writing--original draft, K.K.; Writing--review and editing, K.K., M.W. and A.Z.-R. All authors have read and agreed to the published version of the manuscript.  
This research was funded ss part of the _Incubator of Innovation--Incubator Plus_ program co-financed by the European Union and implemented by the Warsaw University of Life Sciences--SGGW and the Hugo Koltaj University of Agriculture in Krakow (project _\"Total Station SMART COVER--solution supporting the implementation of geodetic measurements using robotic total stations\"_; authorship: K.K. and M.W.).  
Not applicable.  
The data supporting reported results can be obtained from K.K. and M.W.  
**Acknowledgments:** The project was implemented in cooperation with the Military University of Technology in Warsaw, Poland, Faculty of Civil Engineering and Geodesy using its geodetic laboratory infrastructure. The 3D print was executed by Rapid Crafting company, Warsaw, Poland ([[https://rapidcrafting.com/en](https://rapidcrafting.com/en)]([https://rapidcrafting.com/en](https://rapidcrafting.com/en)), accessed on 16 May 2022).  
**Conflicts of Interest:** The authors declare no conflict of interest.