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Spatio-Temporal Prediction for the Monitoring-Blind Area of Industrial Atmosphere Based on the Fusion Network

The monitoring-blind area exists in the industrial park because of private interest and limited administrative power. As the atmospheric quality in the blind area impacts the environment management seriously, the prediction and inference of the blind area is explored in this paper. Firstly, the fusi...

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Detalles Bibliográficos
Autores principales: Bai, Yu-ting, Wang, Xiao-yi, Sun, Qian, Jin, Xue-bo, Wang, Xiao-kai, Su, Ting-li, Kong, Jian-lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6843783/
https://www.ncbi.nlm.nih.gov/pubmed/31600885
http://dx.doi.org/10.3390/ijerph16203788
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author Bai, Yu-ting
Wang, Xiao-yi
Sun, Qian
Jin, Xue-bo
Wang, Xiao-kai
Su, Ting-li
Kong, Jian-lei
author_facet Bai, Yu-ting
Wang, Xiao-yi
Sun, Qian
Jin, Xue-bo
Wang, Xiao-kai
Su, Ting-li
Kong, Jian-lei
author_sort Bai, Yu-ting
collection PubMed
description The monitoring-blind area exists in the industrial park because of private interest and limited administrative power. As the atmospheric quality in the blind area impacts the environment management seriously, the prediction and inference of the blind area is explored in this paper. Firstly, the fusion network framework was designed for the solution of “Circumjacent Monitoring-Blind Area Inference”. In the fusion network, the nonlinear autoregressive network was set up for the time series prediction of circumjacent points, and the full connection layer was built for the nonlinear relation fitting of multiple points. Secondly, the physical structure and learning method was studied for the sub-elements in the fusion network. Thirdly, the spatio-temporal prediction algorithm was proposed based on the network for the blind area monitoring problem. Finally, the experiment was conducted with the practical monitoring data in an industrial park in Hebei Province, China. The results show that the solution is feasible for the blind area analysis in the view of spatial and temporal dimensions.
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spelling pubmed-68437832019-11-25 Spatio-Temporal Prediction for the Monitoring-Blind Area of Industrial Atmosphere Based on the Fusion Network Bai, Yu-ting Wang, Xiao-yi Sun, Qian Jin, Xue-bo Wang, Xiao-kai Su, Ting-li Kong, Jian-lei Int J Environ Res Public Health Article The monitoring-blind area exists in the industrial park because of private interest and limited administrative power. As the atmospheric quality in the blind area impacts the environment management seriously, the prediction and inference of the blind area is explored in this paper. Firstly, the fusion network framework was designed for the solution of “Circumjacent Monitoring-Blind Area Inference”. In the fusion network, the nonlinear autoregressive network was set up for the time series prediction of circumjacent points, and the full connection layer was built for the nonlinear relation fitting of multiple points. Secondly, the physical structure and learning method was studied for the sub-elements in the fusion network. Thirdly, the spatio-temporal prediction algorithm was proposed based on the network for the blind area monitoring problem. Finally, the experiment was conducted with the practical monitoring data in an industrial park in Hebei Province, China. The results show that the solution is feasible for the blind area analysis in the view of spatial and temporal dimensions. MDPI 2019-10-09 2019-10 /pmc/articles/PMC6843783/ /pubmed/31600885 http://dx.doi.org/10.3390/ijerph16203788 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Bai, Yu-ting
Wang, Xiao-yi
Sun, Qian
Jin, Xue-bo
Wang, Xiao-kai
Su, Ting-li
Kong, Jian-lei
Spatio-Temporal Prediction for the Monitoring-Blind Area of Industrial Atmosphere Based on the Fusion Network
title Spatio-Temporal Prediction for the Monitoring-Blind Area of Industrial Atmosphere Based on the Fusion Network
title_full Spatio-Temporal Prediction for the Monitoring-Blind Area of Industrial Atmosphere Based on the Fusion Network
title_fullStr Spatio-Temporal Prediction for the Monitoring-Blind Area of Industrial Atmosphere Based on the Fusion Network
title_full_unstemmed Spatio-Temporal Prediction for the Monitoring-Blind Area of Industrial Atmosphere Based on the Fusion Network
title_short Spatio-Temporal Prediction for the Monitoring-Blind Area of Industrial Atmosphere Based on the Fusion Network
title_sort spatio-temporal prediction for the monitoring-blind area of industrial atmosphere based on the fusion network
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6843783/
https://www.ncbi.nlm.nih.gov/pubmed/31600885
http://dx.doi.org/10.3390/ijerph16203788
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