@article{GENERAL,
      recid = {11208},
      author = {Voûte, R and Smit, BP and Linden, Y},
      title = {Improving the internal battle in a navy ship by adding  situation awareness by means of using a 3D geospatial model  combined with a linked data model of this ship. Design  phase},
      journal = {Conference Proceedings of INEC},
      address = {2024-11-07},
      number = {GENERAL},
      abstract = {Modern Navy ship operations are undergoing significant  transformations, marked by three key changes. Firstly,  ships become increasingly complex, characterized by  advanced systems generating vast amounts of sensor data.  Secondly,  crew sizes become smaller, placing greater  responsibility on individuals to oversee a multitude of  systems. Lastly, as warfare becomes faster, naval forces  are compelled to make quicker decisions in response to  rapidly changing and complex situations. Consequently,  there is a pressing demand for integrating information from  diverse sources and providing clearer, comprehensive  overviews to facilitate decision-making.

In the event of a  calamity, it is crucial to rapidly assess the impact of the  calamity on the ship's capabilities. This study introduces  an innovative approach for enhancing situation awareness   of the situation inside navy ships. By employing 3D  geo-information and a knowledge graph we evaluate the  consequences of calamities on the operational capabilities  of the ship. 

We construct a detailed 3D model of both  exterior and interior parts of a ship using three  dimensional geometric data, which includes static elements  such as rooms, (weapons) systems, and cable & pipe  networks. This model also contains logical data describing  functionality and interconnectivity of the physical objects  in the shup. To do this, the data elements are connected  through a linked data approach. 

In this research project   the 3D model will be used in two key ways: firstly, to  generate a  realtime 3D common operational picture of the  “internal battle” that visually represents the calamities  and their impacts in 2D, 2.5D and real3D, all representing  the same situation; secondly, as a 3D computational model  equipped with a comprehensive set of business relating  events in the ship. This model enables realtime assessment  of calamity impacts using data gathered from sensors,  personnel, and systems throughout the ship, to be used in a  3D decision support system. Data from smoke and temperature  sensors are integrated with the static 3D model, as are  simulated positions of personnel. Users can choose their  own views (depending on their roles) but can also continue  with the already existing views of other users.

The  conclusion is that a knowledge graph in linked data and a  3D representation of the same ship in realtime will give a  basis for better decision-making. The effectiveness of this  approach is tested with personnel from the Royal  Netherlands Navy with data and models of one navy ship. The  current state of the project is that the spatial and  semantic relationships, the different visualizations, and  interfaces have been developed. This first paper will  report on the design of all this, the scientific approach  and the first results of user testing.},
      url = {http://library.imarest.org/record/11208},
      doi = {https://doi.org/10.24868/11208},
}