Discussion on integrated security control in process industry

被引：0
|
作者：
Zhang J. [1 ,2 ]
Zhao T. [3 ]
Wan P. [4 ]
Wang Q. [1 ]
Dou Z. [1 ]
Xu B. [5 ]
机构：
[1] Department of Safety Engineering, Beijing University of Chemical Technology, Beijing
[2] College of Chemical Engineering, Beijing University of Chemical Technology, Beijing
[3] Department of Digital Construction and Engineering Management, Huazhong University of Science and Technology, Hubei, Wuhan
[4] National Fundamental Research Laboratory of New Hazardous Chemicals Assessment & Accident Analysis, Beijing University of Chemical Technology, Beijing
[5] China Academy of Safety Science and Technology, Beijing
来源：
Huagong Xuebao/CIESC Journal | 2024年 / 75卷 / 06期
关键词：
five flows-three transformations-three controls; process control; process industry; production; safety;
D O I：
10.11949/0438-1157.20240057
中图分类号：
学科分类号：
摘要：
Process industries such as chemical industry, metallurgy, petrochemicals, steel, papermaking, and electric power are important pillars of the country's economic and social development, and their safe and efficient production is of great strategic significance. The prominent characteristics of the process industry are thecomplicated long production processes andcomplex correlation and coupling of various processes. From raw materials to products, it involves various physical and chemical processes, such as mass and heat transfer processes, and interactions occurring in multi-source, multi-scale and multi-temporal and spatial, affecting the production safety, the efficiency of material and energy exchange and ecological environment as well. It has been a long-existing and changing problem for process industry to realize the integrated security. The core concern of integrated safety control of process industry lies in the reflection of mass flow and energy flow to digital flow, the transformation of digital flow to high-quality information flow, and the transformation of information flow to control flow. This paper puts forward a novel idea of integrated safety controls in process industry titled“five flows-three transformations-three controls”, and discusses how to break through the digitalization of the mapping process from mass and energy flows to digital flow, break through the digital intelligence problem of the transformation from digital flow to high-quality information flow, and the decision lag problem of the transformation from information flow to control flow. It is expected to provide a new framework system basis for the integrated safety management and control in processindustry and promote the sustainable development of process industry. © 2024 Materials China. All rights reserved.
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页码：2375 / 2384
页数：9
相关论文
共 33 条
  • [1] Qian F, Zhong W M, Du W L., Fundamental theories and key technologies for smart and optimal manufacturing in the process industry, Engineering, 3, 2, pp. 154-160, (2017)
  • [2] Zhou H., Intelligent optimization of high energy consumption processes, (2021)
  • [3] Fan J M, Hu S Y, Chen D J, Et al., A study on the essence of process manufacturing, Strategic Study of CAE, 19, 3, pp. 80-88, (2017)
  • [4] He F, Ma X M, Shen K, Et al., Study on material and energy flow in steel forging production process, IEEE Access, 8, pp. 12921-12932, (2021)
  • [5] Huang L, Wu C, Wang B., Theoretical modeling of system safety synergy from perspective of “flow”, China Safety Science Journal, 29, 5, pp. 50-55, (2019)
  • [6] Long Y, Huang S Y, Liu K., Basic characteristics of material flow, energy flow and information flow in large-scale systems, Journal of Huazhong University of Science and Technology (Nature Science Edition), 36, 12, pp. 87-90, (2008)
  • [7] Ma F M, O ' Hare G, Zhang T F, Et al., Model property based material balance and energy conservation analysis for process industry energy transfer systems, Energies, 8, 10, pp. 12283-12303, (2015)
  • [8] Gao P, Li W, Sun Y, Et al., Risk assessment for gas transmission station based on cloud model based multilevel Bayesian network from the perspective of multi-flow intersecting theory[J], Process Safety and Environmental Protection, 159, pp. 887-898, (2022)
  • [9] Moeller A, Prox M, Schmidt M, Et al., Simulation and optimization of material and energy flow systems, Proceedings of the 2009 Winter Simulation Conference (WSC), pp. 1444-1455, (2009)
  • [10] Wright A J, Oates M R, Greenough R., Concepts for dynamic modelling of energy-related flows in manufacturing, Applied Energy, 112, pp. 1342-1348, (2013)
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