Volvo CE is going through a transformation leaving diesel driven machines in favor of batteryn and fuel cell driven machines. The earthmoving operations in the constructing industry are constantly evolving, improving productivity, safety, operation, maintenance, and management of equipment. For instance, real-time tracking and localization of earthmoving equipment provide numerous advantages in construction and mining. Therefore, it is of interest to investigate the circumstances of the location where the vehicles operates, to find solutions for optimizing productivity and minimizing emissions. The aim of this study is to approximate length and slope of existing hills in the area. The aim is answered by reconstructing and defining a continuous surface from data points describing the area, along with attempting the construction of potential paths which the machines experiences. To achieve the central objectives, the study employs various techniques including interpolation methods and processes for producing paths of different characteristics. The constructing of paths also includes clustering of data, to identify subregions and roads or intersections. These processes are discussed in the theoretical background and their detailed implementation is presented in the methodology section. The results indicates that the Radial Basis Function interpolation provides a smooth, continuous surface reconstruction, bounded by the implementation of alpha shape. However, in accuracy performance tests, the cubic splines interpolation indicates marginally better results. The formed path algorithm enables a heuristic approximation of machine paths. Comparative measures in slope distributions to machine tilt data, indicates that slope from linear distance paths showed the highest similarities. The bounded interpolated surface describes the area's characteristics, allowing investigation regarding the circumstances of the location where the machines operates. The approximation of potential paths provides insights into the properties of the terrain, revealing length and slopes of hills. The distribution of slope and hill length can be leveraged to optimize battery selection for electrified vehicles.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:lnu-130682 |
| Date | January 2024 |
| Creators | Berggren, Maja, Berggren, Cecilia |
| Publisher | Linnéuniversitetet, Institutionen för matematik (MA) |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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