Work Packages & Project Excecution

The work plan has started with the mandatory WP0 Feasibility Study in April 2016. Due to the results from the Feasibility Study, in particular requirements from mining companies, the system was re-designed to the now existing unit. Therefore WP2 (System Design) and WP3 (Further Sensor Development) are now finalized. Also the software development in WP 4 and WP5 is mostly finalized. Year 2018 is now reserved for calibration and prototype testing in practice as well as first data evaluations by using the developed software. In parallel, the final go-to-market-strategy as follow-up of WP0 is under development.

WP 0

Feasibility Study

What are the real needs from the mining industry? Industry partners for interviews are welcome

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Development of a questionnaire for analysis of requirements of shaft operators
Interviews to shaft operating mining companies, in minimum Boliden, KGHM, LKAB, Agnico Eagle, RAG, hopefully some more (our target is to interview in minimum 10 shaft operators)
Reassessment of the proposal with deeper analysis of the substantial questions asked by the announced “Template for the Feasibility Study Report”

WP 1

Project Management

to be well organized, to keep the community informed

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Coordination of work, team meetings, time and resource management, reporting, trouble shooting.

It is envisaged to develop and implement a communication and dissemination tools to reach possible applicants as early as possible and ensure the sustainability of the project results. The project website will provide stakeholders with relevant, precise as well as holistic information on all project work packages and the expected outcome and benefits of our approach. Additionally, workshops will be held to get into detailed discussions with possible end-users to learn about the concrete demand and expectations and synchronize the project with the target market. Furthermore, the communication addresses the EIT Raw Material community and other European associations to contribute directly to the strategic implementation plan of the EC concerning raw materials. Marketing material, such as digital publications, a brochure and leaflets will support the above mentioned activities and spread benefits and major messages to the academic, research and industry communities.

There is a certain risk in the strongly interdisciplinary nature of this project. Con-quering a big data problem of this sort needs advanced IT skills – some companies find the transition from classical data base structures to Hadoop type environments very challenging. Then we have the mining domain specific knowledge, measurement systems, and large scale physical models. In conclusion, considerable time will needed to be invested in coordination and a generation of mutual understanding. Therefore, we will develop and establish a mechanism with all project partners during the project to share a technical understanding of the problem.

WP 2

SYSTEM DESIGN

how the system will look like and work

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Development of system design (hardware) with all components, in particular carrier system, adaption device to shaft hoisting system, positioning and combination of the relevant sensors

WP 3

Further sensor development

more automated, reduced size, faster, smarter, more accurate

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Further development of relevant sensors, in particular:

  • 360 degree video camera and lighting system
  • Design of multi-sensor localisation sub-system based on IMU, 360 degree camera, odometer for automatic process
  • Additional sensors, e.g. collision warning, gas detection, depth sensor

Further development of a high-resolution multi camera imaging system on basis of existing tools at DLR-OS. Especially operational parameters such as time frequency and resolution have to be considered, realized, tested and optimized accordingly to the customer requirements. The camera system is a pre-requisite for the generation of high-detail, textured models of the shaft. Detailed requirements will be evaluated during Feasibility study.

Further development of the low-cost visual aided inertial navigation sub-system (VINS) on basis of existing tools and systems at DLR-OS. The VINS systems accuracy is evalu-ated and compared to high accuracy IMU navigation measurements and the application needs. Further aspects as robustness for rough environments usage and the low cost navi-gation systems usability capabilities shall be worked out.

Further development of additional sensors (as defined from the requirements out of feasibility study), suitable for rough environments

WP 4

Software Development for automatic data processing

to make the system running, user friendly and reliable

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  • Development of technologies (hardware and software) for transferring, processing and archiving of big-volume data (> 100 GB)
  • Development of intelligent data processing systems, in particular data visualization
  • Development of intelligent data post-processing systems, in particular fusion of IMU, odometer, scanner, camera data
  • Development of methods and metrics for data evaluation

WP 5

Software Development for automatic data comparison for shaft monitoring

to turn big data into great information

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Development of intelligent algorithm and software for automatic/semi-automatic comparison of data from measurements at different times for monitoring of changes (e.g. damages, deformation, slope) with alert functionality

WP 6

Prototype demonstration and testing in real mine environment

to show how the complete system will create value

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All hardware and software developments of WP 2 to 5 have to be compiled with already existing system to a new prototype system
Prototype testing in research mine Reiche Zeche at TUBAF to WP6
Testing of the working prototype (WP 6) at Garpenberg Mine