Circular economy facilitator for mining industry (CEFMI)
| Reference number | |
| Coordinator | Luleå tekniska universitet - Luleå tekniska universitet Inst f samhällsbygg & naturresurser |
| Funding from Vinnova | SEK 2 995 000 |
| Project duration | March 2022 - February 2025 |
| Status | Ongoing |
| Venture | Strategic innovation programme for process industrial IT and automation – PiiA |
| Call | PiiA: Data analysis in process industrial value chains, autumn 2021 |
Purpose and goal
The aim of the project is to enable decisions on optimal lifetime and maintenance using both physically based and data-driven AI algorithms. The project has the following goals, which are related to two case studies of mobile mining machines: - Investigation of current maintenance strategies and plans and identification of critical components - Implement a customized IIo T system for data management - Describe the impact of the driving style on the remaining useful life (RUL) - Create a decision support tool for the optimal lifetime of critical components.
Expected effects and result
The main expected result will be a decision support tool that can suggest the best combination of possible maintenance actions to achieve the optimum lifetime of mobile mining machines.
Planned approach and implementation
The project consists of four work packages: 1. Project coordination and dissemination. Objectives: Ensure project objectives and disseminate project result. 2. Case study and data management. Objective: Describe case studies, maintenance, and implement framework for IIoT-based industrial data 3. Data analytics and modeling. Objective: Develop models for remaining life, reliability, production efficiency and life cycle cost. 4. Optimization and development of decision support tool. Objective: Build a decision support tool for life extension optimization.