Title: Coordination reliability evaluation on raw material input and molten iron output for intelligent iron-making system

Authors: Jiahui Zhan; Yongjin Zhang; Yanjun Zhang; Tiejun Chun

Addresses: School of Mathematics and Physics, Anhui University of Technology of China, Maanshan, Huainan City, Anhui, China ' School of Mathematics and Physics, Anhui University of Technology of China, Maanshan, Huainan City, Anhui, China ' College of Mechanical Engineering, Yangzhou University of China, Yangzhou, Jiangsu, China ' School of Metallurgical Engineering, Anhui University of Technology of China, Maanshan, Huainan City, Anhui, China

Abstract: In intelligent iron-making, the coordination reliability is of importance on the health condition of a Blast Furnace (BF) system. According to the basic principle of BF iron-making, this paper proposes a method of measuring the coordination reliability using the input-output data of the BF system. The proposed method takes the difference between raw material input and molten iron output as an indicator to measure the coordination reliability. Real-time monitoring data and the functional relationship between raw material input and iron output are considered to formulate the coordination reliability model of a BF iron-making system. By using the adjusted sampling technique, the batch sampling acceptance scheme is further developed on the coordination reliability of the BF iron-making system. The data of one 1080 cubic-metres BF system is analysed to validate the proposed method.

Keywords: coordination reliability; evaluation model; intelligent iron-making system; batch sampling acceptance scheme.

DOI: 10.1504/IJRS.2022.131451

International Journal of Reliability and Safety, 2022 Vol.16 No.3/4, pp.125 - 140

Received: 07 Jan 2022
Received in revised form: 30 Jun 2022
Accepted: 01 Aug 2022
Published online: 13 Jun 2023 *

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