Purpose-Driven Evaluation of Operation and Maintenance Efficiency and Safety Based on DIKWP

In large-scale public security equipment projects, long-term equipment operation often leads to equipment failures and other problems, so it is particularly important to choose the appropriate operation and maintenance (O&M) scheme based on the content of the equipment work orders. However, ther...

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Bibliographic Details
Published inSustainability Vol. 15; no. 17; p. 13083
Main Authors Liu, Yanfei, Wang, Wentao, Wang, Wenjun, Yu, Chengbo, Mao, Bowen, Shang, Dongfang, Duan, Yucong
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.09.2023
Subjects
Algorithms
Analysis
Bids
Computational linguistics
Decision making
Efficiency
Information systems
Knowledge representation
Language processing
Natural language interfaces
Natural language processing
Neural networks
Safety and security measures
Security systems
Semantics
Software
Sustainability
China
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Summary:In large-scale public security equipment projects, long-term equipment operation often leads to equipment failures and other problems, so it is particularly important to choose the appropriate operation and maintenance (O&M) scheme based on the content of the equipment work orders. However, there are a variety of equipment models in the work orders; not only is the data complex, but also due to the long project cycle, there are often problems such as loss of content, which bring great challenges to the O&M work. This paper defines these problems as “3-No problems”: inconsistency, inaccuracy, and incompleteness. In this paper, an improved DIKWP model is proposed and combined with a random forest classifier to construct data graphs, information graphs, knowledge graphs, and wisdom graphs. Through the above model, the 3-No problem in equipment work orders can be solved, and the importance of each equipment model can be obtained. Eventually, combined with the purpose graph, the selection of models, the bid score calculation, and the selection of O&M schemes are carried out based on the obtained conclusion in a purpose-driven manner to achieve the evaluation of O&M efficiency and safety. Finally, an example is assumed to illustrate the application of the method in actual projects, which provides a certain reference value for the selection of an O&M scheme for large-scale equipment projects.
ISSN:2071-1050
2071-1050
DOI:10.3390/su151713083