Real-Time Performance Evaluation of the Combustion Process of Coke Oven
Author(s) -
Lei Qi,
Di Zhu
Publication year - 2019
Publication title -
journal of advanced computational intelligence and intelligent informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.172
H-Index - 20
eISSN - 1343-0130
pISSN - 1883-8014
DOI - 10.20965/jaciii.2019.p0791
Subject(s) - analytic hierarchy process , pairwise comparison , computer science , process (computing) , industrial engineering , process engineering , multiplicative function , coke oven , combustion , relation (database) , operations research , coke , reliability engineering , data mining , artificial intelligence , mathematics , waste management , engineering , mathematical analysis , chemistry , organic chemistry , operating system
Real-time performance assessment is one of the main methods to guarantee the steady operation of production during the combustion process of a coke oven. In this study, a real-time assessment method is proposed for this combustion process based on the analytic hierarchy process (AHP) and intuitionistic multiplicative preference relation. Relevant scholars, senior engineers, and elite workers participated in this project to build the AHP model with three aspects (i.e. safety, stability, and economic benefit) and perform pairwise comparisons of criteria and sub-criteria through group decisions. To support real-time, the pairwise comparisons of alternatives were realized by an automated method using measurement values. This comprehensive assessment method demonstrates ability to provide real-time performance evaluation for the combustion process. An experiment was conducted to evaluate the effectiveness and viability of the proposed method.
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