Real-time monitoring and analysis of industrial heat sources based on data: Hangzhou City as an example

Pengyu Zhang; Caihong Ma; Yanmei Xie; Tianzhu Li; Xin Sui; Dacheng Wang; Yi Zeng

doi:10.1117/12.3007509

30 August 2023 Real-time monitoring and analysis of industrial heat sources based on data: Hangzhou City as an example

Pengyu Zhang, Caihong Ma, Yanmei Xie, Tianzhu Li, Xin Sui, Dacheng Wang, Yi Zeng

Proceedings Volume 12797, Second International Conference on Geographic Information and Remote Sensing Technology (GIRST 2023); 1279722 (2023) https://doi.org/10.1117/12.3007509
Event: 2nd International Conference on Geographic Information and Remote Sensing Technology (GIRST 2023), 2023, Qingdao, China

Abstract

This study introduces a real-time monitoring and analysis system for industrial heat sources. We employed the K-means algorithm and VIIRS ACF fire point data to identify industrial heat source objects. Additionally, thematic maps based on ARCGIS were generated, and users were notified via email using an SMTP server. By analyzing thematic maps from January to April 2023, we obtained a comprehensive understanding of the quantity and distribution of industrial heat sources in Hangzhou City. Our approach can be extended to other regions, providing a novel method for real-time monitoring that contributes to environmental protection and sustainable development.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Pengyu Zhang, Caihong Ma, Yanmei Xie, Tianzhu Li, Xin Sui, Dacheng Wang, and Yi Zeng "Real-time monitoring and analysis of industrial heat sources based on data: Hangzhou City as an example", Proc. SPIE 12797, Second International Conference on Geographic Information and Remote Sensing Technology (GIRST 2023), 1279722 (30 August 2023); https://doi.org/10.1117/12.3007509

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