Research and Development of an Embedded Multi-Channel Sensor Data Acquisition Device for Reservoir Dams

Q4 Engineering
Keming Wang, Chengli Wang, Wenbing Jin
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引用次数: 0

Abstract

The embedded system of intelligent reservoir dam achieves the integration and efficient utilization of water conservancy dam system data through multi-channel data collection and analysis calculated by computer technology, CNC system, and neural network. Compared with traditional data collection and processing methods, both timeliness and accuracy have been greatly improved. This study aims to develop a multi-channel sensor data acquisition device for reservoir dams based on embedded system technology. This device can collect real-time and efficient data from sensors in various parts of the dam, ensuring the safe operation of the reservoir dam. By using advanced embedded system technology, this device has advantages such as low power consumption, high stability, and real-time data transmission. The Analytic Hierarchy Process (AHP) was used to study the embedded multi-channel sensor data acquisition device for reservoir dams in multiple directions and factors. The AHP method provides an effective means for problem decision-making in complex situations. Referring to the AHP method, the factors that affect reservoir dams can be divided into different levels. Compare the importance of two random factors in each level to obtain a specific quantitative expression of the relative important factors on a scale. Then repeat this step to obtain the weight ranking for different levels. At the same time, the device monitors key parameters such as temperature, humidity, displacement, and pressure in various parts of the dam through multiple sensors, providing strong support for early warning and decision-making of reservoir dams. The results of this study have important practical significance and application value for improving the safety and stability of reservoir dams.
水库大坝嵌入式多通道传感器数据采集装置的研究与开发
智能水库大坝嵌入式系统通过计算机技术、数控系统和神经网络计算的多通道数据采集和分析,实现了水利大坝系统数据的集成和高效利用。与传统的数据采集和处理方法相比,其时效性和准确性都有了很大的提高。本研究旨在开发一种基于嵌入式系统技术的水库大坝多通道传感器数据采集装置。该装置可实时、高效地采集大坝各部位传感器的数据,确保水库大坝的安全运行。通过采用先进的嵌入式系统技术,该设备具有低功耗、高稳定性和实时数据传输等优点。本文采用层次分析法(AHP)对水库大坝嵌入式多通道传感器数据采集装置进行了多方位、多因素的研究。AHP 方法为复杂情况下的问题决策提供了有效手段。参照 AHP 方法,可将影响水库大坝的因素划分为不同层次。比较每个层次中两个随机因素的重要程度,得到相对重要因素的具体定量表达尺度。然后重复此步骤,得到不同等级的权重排序。同时,该装置通过多个传感器对大坝各部位的温度、湿度、位移、压力等关键参数进行监测,为水库大坝的预警和决策提供了有力支持。该研究成果对提高水库大坝的安全性和稳定性具有重要的现实意义和应用价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of High Speed Electronics and Systems
International Journal of High Speed Electronics and Systems Engineering-Electrical and Electronic Engineering
CiteScore
0.60
自引率
0.00%
发文量
22
期刊介绍: Launched in 1990, the International Journal of High Speed Electronics and Systems (IJHSES) has served graduate students and those in R&D, managerial and marketing positions by giving state-of-the-art data, and the latest research trends. Its main charter is to promote engineering education by advancing interdisciplinary science between electronics and systems and to explore high speed technology in photonics and electronics. IJHSES, a quarterly journal, continues to feature a broad coverage of topics relating to high speed or high performance devices, circuits and systems.
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