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.
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This paper is supported by the National Social Science Fund of China (Program No. 18CGL011).
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Liu, S., Li, S. Three-dimensional dynamic monitoring of environmental cost based on state-space model. Neural Comput & Applic 31, 8337–8350 (2019). https://doi.org/10.1007/s00521-018-3960-9
- Kalman filtering
- Environmental cost
- Dynamic monitoring
- State-space model