Application Management Platform of Hydrological Water Resources Monitoring Data Based on Data Mining

Jie Zhao, Yingjie Wang

2025

Abstract

Hydrological water resources monitoring data is one of the water conservancy information resources. Scientific research can accelerate the informatization of hydrological and hydraulic conservancy, so as to better monitor hydrological water resources. Ordinary methods cannot solve the problem of low accuracy of monitoring data of hydrological water resources. Therefore, this paper proposes a data mining technique for monitoring data analysis. First of all, the computer is used to analyze the monitoring data, and the indicators are divided according to the requirements of the monitoring data to reduce the monitoring data in the interfering factor. Then, the computer analyzes the monitoring data of the hydrological and water resources monitoring data application management platform to form a monitoring data scheme and correct Comprehensive analysis of monitoring data results. MATLAB simulation shows that under certain evaluation criteria, the accuracy of monitoring data of the hydrological and water resources monitoring data application management platform by data mining technology is The reliability of the monitoring data is better than that of ordinary methods.

Paper Citation

in Harvard Style

Zhao J. and Wang Y. (2025). Application Management Platform of Hydrological Water Resources Monitoring Data Based on Data Mining. In Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT; ISBN 978-989-758-763-4, SciTePress, pages 233-238. DOI: 10.5220/0013538800004664

in Bibtex Style

@conference{incoft25,
author={Jie Zhao and Yingjie Wang},
title={Application Management Platform of Hydrological Water Resources Monitoring Data Based on Data Mining},
booktitle={Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT},
year={2025},
pages={233-238},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013538800004664},
isbn={978-989-758-763-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT
TI - Application Management Platform of Hydrological Water Resources Monitoring Data Based on Data Mining
SN - 978-989-758-763-4
AU - Zhao J.
AU - Wang Y.
PY - 2025
SP - 233
EP - 238
DO - 10.5220/0013538800004664
PB - SciTePress