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Real time monitoring and statistical analysis of water intake based on computer information technology

Published: 24 October 2024 Publication History

Abstract

With the continuous iteration and upgrading of computer information technology, the real-time monitoring information system for water intake has gradually enriched its functions, improving the efficiency and accuracy of total water consumption statistics in water intake management. Taking Chun'an County in Hangzhou City as an example, this paper analyzes the development process of the real-time monitoring construction of water intake by self provided water intakes in the county, dissects the problems in the statistics of total water intake, and constantly improves the statistical methods. The total water consumption in the county is calculated and analyzed through three methods, namely, sampling survey, sample analysis based on real-time measurement, and Big data analysis. The advantages and disadvantages are compared, and the applicable scope of different methods is obtained. This paper provides technical services for grassroots water resource management work.

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    CAIBDA '24: Proceedings of the 2024 4th International Conference on Artificial Intelligence, Big Data and Algorithms
    June 2024
    1206 pages
    ISBN:9798400710247
    DOI:10.1145/3690407
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 24 October 2024

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    Author Tags

    1. Information technology
    2. Real time monitoring
    3. Total water consumption statistics
    4. Water intake management

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