PUBLIC INFRASTRUCTURE ASSET MANAGEMENT SYSTEM FOR LIFE-EXTENDING REPAIR PLANNING AND ITS PRELIMINARY ESTIMATION

Takashi Sumiyoshi¹, Yuya Komatsu², Hideo Abiru³ and Toyohisa Morita⁴

1) Researcher, Research & Development Division, Hitachi Systems, Ltd., Tokyo, Japan.
2) Researcher, Research & Development Division, Hitachi Systems, Ltd., Tokyo, Japan.
3) Chief Manager, Social Information Services Division, Hitachi Systems, Ltd., Kanagawa, Japan.
4) Chief Researcher, Research & Development Division, Hitachi Systems, Ltd., Tokyo, Japan.

Abstract: We developed a public infrastructure asset management system to support local governments that do not have enough skilled persons. Because the preferred way of management varies depending on the budget consumption policy and/or terrain conditions of the assets at each local government, we designed the life cycle cost (LCC) calculation module to be able to calculate the estimated cost of repair by searching the available sequence of repair methods under restrictions which are defined by the policy of the local government and the type of assets. For instance, the LCCs under the preventive and corrective maintenance scenarios are calculated by applying the restrictions of the repair methods determined by particular scenarios, and LCC calculation of pavement is done by applying the restrictions of the overlay and replastering method. Because the module and data structure is sophisticatedly abstracted from local governments’ calculation policies and types of assets, this realizes an asset management system which can handle more than one type of assets (bridges, pavements, tunnels, and other structures) at low cost and make the costs of system integration for local governments lower. We also developed a tool to design deterioration prediction models of public assets, for use by the public asset management system. To support persons without the statistical skill to generate adequate models, we developed some functions to avoid inadequate models which are over-trained or inconsistent, often caused by shortage of training data. We think that our tool can reduce model generation costs and stimulate more frequent updating of models by the local governments.

Keywords: public infrastructure asset management system, life cycle cost, deterioration prediction model

Bibliographical Reference:
Takashi Sumiyoshi, Yuya Komatsu, Hideo Abiru, and Toyohisa Morita. “PUBLIC INFRASTRUCTURE ASSET MANAGEMENT SYSTEM FOR LIFE-EXTENDING REPAIR PLANNING AND ITS PRELIMINARY ESTIMATION.” In Proceedings of International Conference on Civil and Building Engineering Informatics (ICCBEI 2015), 95. Tokyo, Japan, 2015.

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