An Early-Warning Methodology of Work safety for Chemical Industry Park Based on Immune Mechanism

Abstract:

In order to improve the safety management of chemical industry park, a novel methodology was probed into from the perspective of safety early-warning by introducing immune mechanism. Based on the corresponding relationship between the immune system and the chemical industry park, the interaction mechanism of antigen and antibody was taken to guide the formulation of the safety early-warning index system. The weights of the indexes were observed and calculated through the improved analytic hierarchy process. Inspired by fuzzy inference model and neural network algorithm, the safety early-warning model and safety forecast model of the chemical industry park were put forward. The application result showed that the methodology can realize the function of safety early-warning and safety forecast for chemical industry park. Furthermore, the corresponding countermeasures can be taken to improve the safety management of the chemical industry park.

• Periodical: Applied Mechanics and Materials (Volumes 321-324)
• Pages: 1873-1885
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.321-324.1873
• Online since: June 2013
• Authors: Qing Guang Chen, Guo Hua Chen, Wei Li Duan, Qing Ye
• Keywords: Chemical Industry Park, Early-Warning and Forecast Model, Early-Warning Index System, Immune Mechanism, Safety early-Warning, Work Safety

References

[1] Yumei Yang, Jiaxiang Chen, Qinghua Zhu. Study on the development problems of chemical industry park in China(in Chinese)，Science & Technology Progress and Countermeasures, 2004, 11(6):100-102.

[2] Information on http://www.cpcip.org.cn/introduce.asp.

[3] Information on http://tky9178.blog.hexun.com/4859816_d.html.

[4] Information on http:// www.riskmw.com/case/2010/10-03/mw30974.html.

[5] Information on http://ah.people.com.cn

[6] Combes R, Barratt M, Balls M: Altern. Lab. Anim. 2003, 31(1): 7-20.

[7] Wood M H, Fabbri L, Struckl M: Journal of Hazardous Materials. 2008, 157(2-3): 230-236.

[8] Kourniotis S P, Kiranoudis C T, Markatos N C: Journal of hazardous materials. 2000, 71(1-3): 239-252.

DOI: 10.1016/s0304-3894(99)00081-3

[9] Reniers G, Dullaert W: Safety Science. 2007, 45(10): 1060-1081.

[10] Guohua Chen, Jing Zhang, Hui Zhang, et al. Study on Regional Risk Assessment Methodology(in Chinese), China Safety Science Journal，2006, 16(6): 112-117.

[11] Yunhua Li. Construction of MIS for major hazard administration in chemical park(in Chinese) Journal of Safety Science and Technology，2009, 5(5): 139-143.

[12] Xiaodong Chen, Yingquan Duo. Researches on safety capacity of chemical industry park(in Chinese),Journal of Safety Science and Technology, 2009, 5(2): 10-13.

[13] Yanjun Liu, Chuangui Li, Weiguo Wang, et al. Discussion on fire planning for chemical industrial park(in Chinese) Journal of Safety Science and Technology, 2007, 3(3): 46-48.

[14] Qingguang Chen, Weili Duan, Guohua Chen, et al: Procedia Engineering. 2011,11:18-26.

[15] Fabio Gonz Alez. A Study of Artificial Immune Systems Applied to Anomaly Detection[D]. Memphis: The University of Memphis, 2003.

[16] Saaty T L:International Journal of Services Sciences. 2008, 1(1): 83-98.

[17] Guohua Chen, Tao Liang, Huawen Zhang: Safety Science, 2009, 47（1）: 50-58.

[18] Zadeh L A: Information and control. 1965, 8(3): 338-353.

[19] Zhixing Zhang, Chunzai Sun, MIZUTANI E. Neuro-fuzzy and soft computing[M]. Xi'an: Prentice-hall, 2000: 6

[20] Bin Xu, Xude Cheng, Hongli Wang, et al. Study on the fuzzy inference between Mamdani and Sugeno model based on Matlab(in Chinese), Computer Applications. J, 2006, 26(12): 223-224.

[21] Tai-fan Quan. Information fusion theory and application based on neuro network-fuzzy reasoning technology[M]. Beijing: National Defense Industry Press, (2002)

[22] Nolfi S, Elman J L, Parisi D. Learning and evolution in neural networks[M]. Citeseer, 1990.

[23] Liangjun Liang, Jing Cao, Shizhong Jiang. Neural network practical guide[M]. Beijing: China Machine Press, 2008.

[24] Kalogirou S A, Bojic M: Energy. 2000, 25(5): 479-491.

[25] Ekici S, Yildirim S, Poyraz M: Applied Soft Computing. 2009, 9(1): 341-347.