Abstract
The traditional monitoring method of water resources environment mainly relies on manual sampling and laboratory analysis, which is limited in time and space and can not realize the comprehensive monitoring of water resources environment. With the continuous development of computer technology and network communication technology, real-time data monitoring method of water resources environment based on computer remote data acquisition and image analysis has gradually become a new solution. This paper aims to propose a real-time data monitoring method of water resources environment based on computer remote data acquisition and image analysis, in order to achieve accurate and efficient monitoring of water resources environment, timely acquisition and analysis of key data of water resources environment, and provide scientific basis for relevant decisions. In this paper, the key parameters of water quality, water quantity and water ecology are collected by using computer remote data acquisition and image analysis. Using computer image analysis technology, the collected image data are processed and analyzed, and the related characteristics and indicators of water resources environment are extracted. The results show that the real-time data monitoring method of water resources environment based on computer remote data acquisition and image analysis can monitor the data changes of water resources environment accurately and efficiently. Through the analysis and processing of the real-time data, the problems in the water resources environment can be found and warned in time, and the corresponding measures can be taken to regulate and manage.
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This paper was supported by Project of Humanities and Social Sciences Research and Planning Fund of the Ministry of Education “Research on personalized Recommendation Mechanism of Libraries based on Dynamic user portraits” (No. 20YJA870004).
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Yang Chen has contributed to the paper’s analysis, discussion, writing, and revision.
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Chen, Y. Real time data monitoring of water resources environment based on computer remote data collection and image analysis. Opt Quant Electron 56, 618 (2024). https://doi.org/10.1007/s11082-023-05928-w
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DOI: https://doi.org/10.1007/s11082-023-05928-w