| Title | Research on the Configuration Management of Complex Equipment Based on Identity Resolution |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Sun, Peng, Zhang, Weijiao, Chen, Yan, Li, Li |
| Conference Name | 2021 International Conference on Artificial Intelligence and Blockchain Technology (AIBT) |
| Keywords | Configuration Management, Correlation, Data collection, distributed processing, Human Behavior, Identity management, identity resolution, Industrial Internet, Industries, intelligent databases, Packaging, pubcrawl, Rail transportation, Resiliency, Scalability |
| Abstract | Identity resolution system is the primary technical research problem to set up the data collection capability of industrial internet, and the configuration resolution of complex assets is an application difficulty. To implement the particular requirements of complex equipment configuration management, an industry-oriented identity resolution architecture and the configuration resolution service were designed. In accordance with the technical information management of high-speed train, corresponding handle structures was proposed to describe the configuration structure and related components information of EMU (Electric Multiple Unit). A distributed processing algorithm for configuration resolution and the hit-ratio evaluation method of handle service sites was proposed. The performance, stability, and resolution consistency of the handle system in this paper are proved by experiments, which is also great significant to the intelligent identity applications in other industries. |
| DOI | 10.1109/AIBT53261.2021.00016 |
| Citation Key | sun_research_2021 |
Research on the Configuration Management of Complex Equipment Based on Identity Resolution