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Reliability Evaluation for IoT-Based Monitoring System Based on AHP-Fuzzy Comprehensive Evaluation Method

  • Ying-hua Tong
  • Li-qin TianEmail author
  • Zhen Liu
Conference paper
  • 35 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1060)

Abstract

With the widespread use of internet of things technology in monitoring industry, the reliability of the system is emphasized. Neither simple qualitative analysis method nor quantitative analysis method can accurately and effectively evaluate the reliability of the complex IoT-based monitoring system. Through the analysis of the case on IoT-based monitoring system and the reference of literature review, firstly the article establishes reliability index system according to the hierarchical structure of IoT-based monitoring system. Combining the advantages of traditional qualitative and quantitative analysis methods, then the reliability of IoT-based monitoring system is comprehensively evaluated by using the analytic hierarchy process (AHP)-Fuzzy comprehensive evaluation method. The weighting coefficients of the indexes are calculated using AHP while the fuzzy comprehensive evaluation is used to realize the multi-layer comprehensive evaluation. Finally the reliability of the IoT-based key haze pollution source monitoring system of a certain thermal power plant in Hebei Province is evaluated by using the proposed evaluation model. Case study shows that the calculation method and model can effectively evaluate the reliability of IoT-based monitoring system.

Keywords

Internet of things Reliability evaluation Analytic hierarchy process Fuzzy comprehensive evaluation 

Notes

Acknowledgements

This work is supported by the National Natural Science Foundation of China (Nos. 61862055, 61762075), the National Key Research Project (No. 2017YFC0804108), the Ministry of Education “Spring” Cooperation Project (Nos. Z2016083, Z2016109), Qinghai Provincial Key Research Project (Nos. 2019-NN-161, 2017-ZJ-752), Hebei IoT monitoring Engineering Technology Research Center (3142016020), and Qinghai Key Lab of IoT (2017-ZJ-Y21).

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.School of Computer ScienceQinghai Normal UniversityXiningChina
  2. 2.School of Computer ScienceNorth China Institute of Science and TechnologyBeijingChina
  3. 3.Nagasaki Institute of Applied ScienceNagasakiJapan

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