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From LiDAR to Underground Maps via 5G - Business Models Enabling a System-of-Systems Approach to Mapping the Kankberg Mine
RISE., Swedish ICT, SICS, Security Lab.ORCID-id: 0000-0001-7879-4371
RISE - Research Institutes of Sweden, ICT, SICS.ORCID-id: 0000-0002-2933-1925
Boliden, Sweden.
2017 (engelsk)Rapport (Annet vitenskapelig)
Abstract [en]

With ever-increasing productivity targets in mining operations, there is a growing interest in mining automation. The PIMM project addresses the fundamental challenge of network communication by constructing a pilot 5G network in the underground mine Kankberg. In this report, we discuss how such a 5G network could constitute the essential infrastructure to organize existing systems in Kankberg into a system-of-systems (SoS). In this report, we analyze a scenario in which LiDAR equipped vehicles operating in the mine are connected to existing mine mapping and positioning solutions. The approach is motivated by the approaching era of remote controlled, or even autonomous, vehicles in mining operations. The proposed SoS could ensure continuously updated maps of Kankberg, rendered in unprecedented detail, supporting both productivity and safety in the underground mine. We present four different SoS solutions from an organizational point of view, discussing how development and operations of the constituent systems could be distributed among Boliden and external stakeholders, e.g., the vehicle suppliers, the hauling company, and the developers of the mapping software. The four scenarios are compared from both technical and business perspectives, and based on trade-off discussions and SWOT analyses. We conclude our report by recommending continued research along two future paths, namely a closer cooperation with the vehicle suppliers, and further feasibility studies regarding establishing a Kankberg software ecosystem.

sted, utgiver, år, opplag, sider
Kista, Sweden, 2017.
Serie
SICS Technical Report, ISSN 1100-3154 ; T2017:04
HSV kategori
Identifikatorer
URN: urn:nbn:se:ri:diva-30106OAI: oai:DiVA.org:ri-30106DiVA, id: diva2:1128030
Forskningsfinansiär
VINNOVATilgjengelig fra: 2017-07-21 Laget: 2017-07-21 Sist oppdatert: 2018-07-19bibliografisk kontrollert

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