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

Yanfei Liu, Wentao Wang, Wenjun Wang (), Chengbo Yu, Bowen Mao, Dongfang Shang and Yucong Duan
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Yanfei Liu: College of Intelligence and Computing, Tianjin University, Tianjin 300072, China
Wentao Wang: School of Electrical and Electronic Engineering, Chongqing University of Technology, Chongqing 400054, China
Wenjun Wang: College of Intelligence and Computing, Tianjin University, Tianjin 300072, China
Chengbo Yu: School of Electrical and Electronic Engineering, Chongqing University of Technology, Chongqing 400054, China
Bowen Mao: College of Intelligence and Computing, Tianjin University, Tianjin 300072, China
Dongfang Shang: College of Intelligence and Computing, Tianjin University, Tianjin 300072, China
Yucong Duan: School of Computer Science and Technology, Hainan University, Haikou 570228, China

Sustainability, 2023, vol. 15, issue 17, 1-22

Abstract: 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.

Keywords: equipment O&M; improved DIKWP model; random forest classifier; purpose graph (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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