Predictive Modeling of Hydraulic Hoses for Underground Mining
| Reference number | |
| Coordinator | Örebro universitet - Center for Applied Autonomous Sensor Systems |
| Funding from Vinnova | SEK 435 000 |
| Project duration | April 2020 - September 2020 |
| Status | Completed |
| Venture | The strategic innovation programme for Swedish mining and metal producing industry - SIP Swedish Mining Innovation |
| Call | Towards a sustainable development in the mining and metal extraction industry |
Important results from the project
This pre-study resulted in comparison and evaluation of different models for predicting the state of hydraulic hoses undergoing manipulation. Besides that, we built a data collection and evaluation setup that will be used in follow-up research.
Expected long term effects
With the comparison and evaluation results from this pre-study, it is possible to design further research into modeling and predicting states of manipulated hydraulic hoses in this specific domain. The collected data and data collection setup created in this project will be used for further research.
Approach and implementation
The design of this pre-study was to implement and evaluate different models of linear deformable objects in a domain-specific way for modeling heavy-duty hydraulic hoses using data from real hoses as input and reference. Expertise and materials from the industry parter allow us to construct a realistic data collection and evaluation setup were real hoses were manipulated and tracked with high-precision. This data allowed us to asses and evaluate different models and led us to the conclusions some of the models are suitable for the task.