ABSTRACT
In the past decades, infrastructure management has been performed based on implicit knowledge, consisting of the experience and knowledge of professional engineers. The objective of assetmetrics is to convert such decision processes based on implicit knowledge and experience into systematic decision processes based on formal knowledge. Our research and development policy is a thoroughgoing handson approach that tries to create methodologies based on data obtained through daily and periodic inspections. Moreover, the authors point out that in the field of asset management, technical knowledge related to the analysis of existing data is more important than hardware technologies for obtaining new data. We also discuss these ideas as pertaining to the concept of big data. Finally, by showing examples of advanced researches on assetmetrics, the authors give an overview of monitoring methodologies and comprehensive risk management in the relevant field.
