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Modeling and Design of Networked Intelligent Monitoring System for Water Environment

Published: 17 January 2024 Publication History

Abstract

Water environmental health monitoring includes multi-orientation. Data model is established among all influencing factors, and parameters are optimized and designed. On account of IEEE1451 framework construction, model construction of multiple modes is combined. This text starts from the collection device of water environment network intelligent detection system, carries on the system design to the detection system of various modes, carries on some sensor configuration of the system, such as initialization, model construction, carries on the analysis and processing to the actual case, realizes the plug and play function to the sensor. This text studies a series of theories and knowledge of modeling design of networked intelligent monitoring system of water environment, reveals the principle of networked intelligent monitoring system of water environment, and the modeling design of networked intelligent monitoring system of water environment. Through the effect analysis of actual video images, the modeling design of networked intelligent monitoring system of water environment is studied. The test results demonstrate impressive performance of the modeling design in the networked intelligent monitoring system for water environment. Specifically, it achieves accuracy rates of 81.32% in image recognition, 91.01% in differentiation line recognition, 92.35% in data reorganization, and 97.10% in system automation performance.

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          PCCNT '23: Proceedings of the 2023 International Conference on Power, Communication, Computing and Networking Technologies
          September 2023
          552 pages
          ISBN:9781450399951
          DOI:10.1145/3630138
          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: 17 January 2024

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          Author Tags

          1. Intelligent Monitoring System
          2. Modeling Design
          3. Network System
          4. Water Environment

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          • Department of Education of Jiangxi Province

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          PCCNT 2023

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