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Three-dimensional dynamic monitoring of environmental cost based on state-space model

  • Shuai Liu
  • Sicheng LiEmail author
S.I.: Machine Learning - Applications & Techniques in Cyber Intelligence
  • 16 Downloads

Abstract

This paper discusses the applicability of Kalman filter in 3D dynamic monitoring of environmental cost. By selecting Kalman filtering algorithm which is suitable for dynamic environmental cost monitoring, the three-dimensional state-space model of environmental cost and the three-dimensional observation system were established based on the analysis and test of the three-dimensional dynamic data of environmental cost. In addition, by analyzing the algorithm of 3D dynamic monitoring model of environmental cost, a three-dimensional state-space monitoring model of environmental cost based on Kalman filter was constructed. Finally, empirical research study of the cement manufacturing enterprise of Ezhou city of Hubei province was carried out.

Keywords

Kalman filtering Environmental cost Dynamic monitoring State-space model 

Notes

Acknowledgements

This paper is supported by the National Social Science Fund of China (Program No. 18CGL011).

Compliance with ethical standards

Conflict of interest

The authors do not have any possible conflicts of interest.

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Copyright information

© Springer-Verlag London Ltd., part of Springer Nature 2019

Authors and Affiliations

  1. 1.School of Economics and ManagementHubei University of TechnologyWuhanPeople’s Republic of China
  2. 2.College of Economics and ManagementHuazhong Agricultural UniversityWuhanPeople’s Republic of China

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