Abstract
<p class="Abstract">Linear assets have linear properties, for instance, similar underlying geometry and characteristics, over a distance. They show specific patterns of continuous inherent deteriorations and failures. Therefore, remedial inspection and maintenance actions will be similar along the length of a linear asset, but because as the asset is distributed over a large area, the execution costs are greater.</p><p class="Abstract">Autonomous robots, for instance, unmanned aerial vehicles, pipe inspection gauges, and remotely operated vehicles, are used in different industrial settings in an ad-hoc manner for inspection and maintenance. Autonomous robots can be programmed for repetitive and specific tasks; this is useful for the inspection and maintenance of linear assets.</p>This paper reviews the challenges of maintaining the linear assets, focusing on inspections. It also provides a conceptual framework for the use of autonomous inspection and maintenance practices for linear assets to reduce maintenance costs, human involvement, etc., whilst improving the availability of linear assets by effective use of autonomous robots and data from different sources.
Highlights
A linear asset is an engineering infrastructure that usually spans long distances and can be divided into segments, all of which perform the same function but may be subject to different loads and environmental conditions
The Maximo Linear Asset Manager 7.1 was released after 3 years; it is based on the concept of ‘treating linear assets differently than pumps’ through the dynamic segmentation of the former [11], [12]
While the research results up to date are useful for maintenance management decision support, an effective framework for linear asset management inspection and maintenance needs to be developed to integrate field operations into decision support. This could be generated using the emerging ICT technologies, for instance, big data technologies
Summary
A linear (or continuous) asset is an engineering infrastructure that usually spans long distances and can be divided into segments, all of which perform the same function but may be subject to different loads and environmental conditions. To address linear asset issues, IBM began to develop a generic approach to dynamic segmentation using existing standards such as ISO 19133 (Information Technology Geographic Information Framework Data Content Standard) [10]. They discussed this idea among several development partners, including infrastructure managers, academics and government authorities, and decided to segregate the assets into linear and non-linear ones, making them more controlled by users. The Maximo Linear Asset Manager 7.1 was released after 3 years; it is based on the concept of ‘treating linear assets differently than pumps’ through the dynamic segmentation of the former [11], [12] This tool does not integrate inspection and maintenance data and decision analysis functions.
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