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Software architecture knowledge for intelligent light maintenance
DOI:10.1016/j.advengsoft.2013.09.003.png)
摘要
En 中文
The maintenance management plays an important role in the monitoring of business activities. It ensures a certain level of services in industrial systems by improving the ability to function in accordance with prescribed procedures. This has a decisive impact on the performance of these systems in terms of operational efficiency, reliability and associated intervention costs. To support the maintenance processes of a wide range of industrial services, a knowledge-based component is useful to perform the intelligent monitoring. In this context we propose a generic model for supporting and generating industrial lights maintenance processes. The modeled intelligent approach involves information structuring and knowledge sharing in the industrial setting and the implementation of specialized maintenance management software in the target information system. As a first step we defined computerized procedures from the conceptual structure of industrial data to ensure their interoperability and effective use of information and communication technologies in the software dedicated to the management of maintenance (E-candela). The second step is the implementation of this software architecture with specification of business rules, especially by organizing taxonomical information of the lighting systems, and applying intelligence-based operations and analysis to capitalize knowledge from maintenance experiences. Finally, the third step is the deployment of the software with contextual adaptation of the user interface to allow the management of operations, editions of the balance sheets and real-time location obtained through geolocation data. In practice, these computational intelligence-based modes of reasoning involve an engineering framework that facilitates the continuous improvement of a comprehensive maintenance regime. (C) 2013 Elsevier Ltd. All rights reserved.
Keyword:
Conceptual modeling
Industrial maintenance
Semantic formalization
Web mapping service
Architectural pattern
Information system
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5.7
论文数:
3.4K
被引数:
1.2W
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引用论文
Knowledge formalization in experience feedback processes:: An ontology-based approach经验反馈过程中的知识形式化: 基于本体的方法
Software simulation and verification to increase the reliability of Intelligent Environments提高智能环境可靠性的软件仿真与验证

