Utilizing Geographic Information Systems for Condition-Based Maintenance on the Energy Distribution Grid

Zur Heiden, Philipp
Priefer, Jennifer
Beverungen, Daniel
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The energy distribution grid is a critical infrastructure challenged with shifting requirements induced by the skyrocketing importance of green energy. Particularly, legacy assets—such as medium-voltage switchgear cabinets and circuit breakers—need to be maintained to prevent energy outages and reduce resource consumption. While related research has abundantly presented algorithms for condition-based maintenance, no design knowledge is available to prescribe how an information system for this purpose ought to be designed. In a design science research project, we develop an information system for condition-based maintenance of legacy assets in the medium voltage distribution grid that utilizes geospatial data. Our design integrates Enterprise Resource Planning (ERP) functionality with Geographic Information Systems (GIS) and a Machine Learning System (MLS) for predicting outages. We demonstrate a current proof-of-concept and conclude by presenting a set of theoretical hypotheses that can guide the evaluation once the system is available.
GIS, Industry 4.0, and Sustainability, condition-based maintenance, design science research, energy distribution grid, geographic information system, geospatial data
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