Skip to main content
Log in

Human Operating Risk Assessment for Outdoor Terminal Box of Electric Power

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

The outdoor terminal box is the basic node of the power Internet of Things as an intermediate link between outdoor electrical equipment and indoor equipment, like measurement and control, protection, communication and other equipment. Terminal boxes and terminals need to be regularly checked on site, loop tests, transformations, and equipment replacement. Operator errors have become one of the main factors in outdoor terminal box accidents. In terms of human risk assessment of outdoor terminal boxes, few papers are involved. In order to correctly evaluate the influence of human factors on the failure of outdoor terminal boxes, the paper first analyzes the human behavior factors of outdoor terminal box operators, the common performance conditions of the CREAM (Cognitive Reliability and Error Analysis Method) model is used to analyze the human behavior mechanism and behavior reliability factors during the operation of the terminal box. Then, the SLIM (Success Likelihood Index Method) model is used to calculate the probability of human error. The proportional failure model is used to calculate the failure rate of the outdoor terminal box itself. Finally, taking a circuit breaker terminal box as an example for simulation, the probability of human error is 1.56%, the equipment failure rate is 0.84%, the risk value of the system is 10.7%, and the risk level of the system is 3. From the probabilistic perspective, it shows that human factors have a greater influence on the causes of accidents.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

Data and Material Availability

The data and materials involved in the article are fully disclosed in the article.

Code Availability

The code involved in the article is all Matlab's own functions, which can run normally.

References

  1. Qiangqiang, Z., & Jin, Li. (2013). Study and application of anti-condensation control system of intelligent terminal box in substation. Guangdong Electric Power, 26(08), 73–77.

    Google Scholar 

  2. Swain, A. D., Guttmann, H. E., (1983) A handbook of human reliability analysis with emphasis on nuclear power plant applications, NUREG/CR-1278[R].Washington D.C.:USNRC.

  3. Str Eter, O. (2000) Evaluation of human reliability on the basis of operational experience[D]. Munich, Germany: GRS.

  4. Cacciabue, P. C., Decortis, F., Drozdow-Icz, B., et al. (1992). COSIMO: A cognitive simulation model of human decision making and behavior in accident management of complex plants[J]. IEEE Transactions on Systems, Man, and Cybernetics, 22(5), 1058–1074.

    Article  Google Scholar 

  5. Zheng, X., Li, J., Song, S., Bao, W. (2018). Improvement and application of moisture-proof measures for outdoor terminal box in converter station[J]. Electric Engineering, 15, 125–128+131.

  6. Danyang, Z., Ang, L., & Haoyang, W. (2016). Protection measures of outdoor terminal box and its design specification. Electric Switchgear, 54(02), 7–10.

    Google Scholar 

  7. Baofeng, Li., Xipin, S., Tao, L., Guangzi, Z., & Xingyun, X. (2018). Design of a wetproof outdoor terminal box against beastie. Telecom World, 03, 214–215.

    Google Scholar 

  8. Libin, Xu., Yuan, G., & Wei, G. (2017). Design of temperature-controlling and moisture-proof device for terminal box based on WSN and semiconductor refrigeration. Electrical Engineering, 12, 46–52.

    Google Scholar 

  9. Yuanzhi, X. (2019). Plugging force and reliability of fish-eye-hole compliant pin of electrical connector. Failure Analysis and Prevention, 14(05), 289–293.

    Google Scholar 

  10. Lin, X., & Wu, Q. (2016). Review of fretting contact characteristics for coating material of common connector. Electromechanical Components, 36(06), 45–51.

    Google Scholar 

  11. Yongying, Du., Zhili, S., & Chunmei, Lv. (2015). Reliability study on terminal contact parts of electrical connector of JF series. Machinery & Electronics, 09, 11–15.

    Google Scholar 

  12. Bin, L., Yang Qin, Lu., & Mao, L. Y. (2012). Study on prediction model of human factor failure probability based on CREAM. Journal of Safety Science and Technology, 8(07), 46–50.

    Google Scholar 

  13. Jingjing, P., & Ali, Z. (2013). Research on index system for human reliability assessment of pharmaceutical company. Journal of Safety Science and Technology, 9(12), 165–170.

    Google Scholar 

  14. Reason, J. (1990). Human error. Cambridge: Cambridge University Press.

    Book  Google Scholar 

  15. Hollnagel, E. (1998). Cognitive reliability and error analysis method: CREAM (1st ed.). Elsevier.

    Google Scholar 

  16. Vestrucci, P. (1988). The logistic model for assessing human error probabilities using the SLIM method. Reliability Engineering & System Safety, 21(3), 189–196.

    Article  Google Scholar 

  17. Yu, H., Meng, J., Jianlian, Z., Weihan, L., & Chuangxin, G. (2019). Risk assessment of substation automation system failure considering human reliability. Power Generation Technology, 40(05), 448–454.

    Google Scholar 

  18. MaLihua, Z. N. Z., Lu, K., & Kai, X. C. (2011). Study on the maintenance strategy of power equipment based on the optimal life cycle cost. Power System Protection and Control, 39(16), 34–39.

    Google Scholar 

  19. Cox, D. R. (1972). Regression models and life-tables. Journal of the Royal Statistical Society Series B (Methodological), 34, 187–220.

    Article  MathSciNet  Google Scholar 

  20. Bao, Y. K., Wang, Y. F., Weng, Y. F., GuoChuangxin, C., Zhou, W., & Zhang, L. (2015). Equipment reliability evaluation and maintenance period decision considering the impact of human factors. Power System Technology, 39(09), 2546–2552.

    Google Scholar 

  21. Guo, C., Yu, B., Guo, J., Wen, B., Zhang, J., Zhang, L., & Lu, H. (2014). Security risk assessment of the IEC61850-based substation automation system. Proceedings of the CSEE, 34(04), 685–694.

    Google Scholar 

Download references

Funding

National Natural Science Foundation of China (51707135); Science and Technology Project of Yunnan Power Grid Co., LTD. (YNKJXM20190041).

Author information

Authors and Affiliations

Authors

Contributions

Zhengqing Dai put forward the problems to be solved in this paper and solutions, Wenyu Wang was mainly responsible for the writing of the paper and theoretical derivation, Meng Tian and Jiahao Rao were mainly responsible for the realization of theoretical programming and the verification of experimental results.

Corresponding author

Correspondence to Meng Tian.

Ethics declarations

Conflict of interests

The authors declare that they have no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wang, W., Dai, Z., Rao, J. et al. Human Operating Risk Assessment for Outdoor Terminal Box of Electric Power. Wireless Pers Commun 126, 2303–2319 (2022). https://doi.org/10.1007/s11277-021-09067-x

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-021-09067-x

Keywords

Navigation