Abstract
Traditionally the maintenance process in the electricity transmission system relies on the shutdown repair and periodic maintenance, which is lacking to avoid the equipment unexpected failure. Therefore, this research discusses how to effectively and efficiently deal with the resources to make the entire system more competitive with a case on the maintenance chain of a current electricity transmission system. Meanwhile, this research uses condition-based maintenance technology to construct a negotiation strategy on collaborative maintenance chain, provides an engineering asset management center platform for asset operation site, system provider and first-tier collaborator to negotiate their maintenance decisions. Moreover, this research discusses different roles involved in electricity transmission system and their decisions, including predictive maintenance initial period strategy, system benefit optimization of maintenance timing and emergency maintenance negotiation mechanism. The objectives of different departments plan their resources allocation efficiently and effectively for the maintenance process and scheduled maintenance timing to ensure the best utilization. Finally, this research applies multi-agent system (MAS) technology to implements a prototype system. Via wrapping the systems and databases into agents with certain degree of authorities, these agents are able to assist humans in information communication, discussion and negotiation, and finally the generation of decisions. Consequently, the MAS technology with characteristics such as pro-activity, reactivity, social ability, and autonomy into this collaborative maintenance chain is applied to enhance the communication efficiency.