基於荷重元感測器的電壓式海流計的設計是近年來流體動力學和儀器儀表工程領域的創新。這種類型的海流計採用荷重元感測器技術直接測量流體速度，提供精確且高經濟、高效的解決方法，特別適合工業和環境監測應用。荷重元感測器設計的核心是精密電壓感測器，它可以根據流過其表面的流體的速度變化來改變其電壓輸出。這種技術的設計使得海流計具有即時的響應時間和對低流速流體的高測量靈敏度。透過細緻的校準，這種類型的海流計可以在很寬的流速範圍內提供高精度的量測。為了進一步增強其實用性和適應性，海流計的設計包括各種補償機制，以抵消溫度和壓力變化等環境變化的干擾。此外，這些海流計還整合數據處理技術，使數據採集和分析更有效率、準確，有利於數據遠端傳輸和即時監控。
本論文介紹了流速計的設計原理、製作流程，以及在不同條件下的使用性能。將設計的海流計安裝在海上浮標平台上進行測試，獲得了1至6級流速範圍內海流速度和流向數據的相關係數。本研究提出了一種實際應用方法，利用迴歸分析來修正感測器測量誤差，並結合卡爾曼濾波器進一步驗證資料準確性。測試結果證明，該方法顯著降低了測量數據的誤差，使測量系統能在多變環境中提供穩定且可靠的數據。

The design of a load cell-based voltage current meter is an innovation in fluid dynamics and instrumentation engineering in recent years. This type of current meter uses load cell technology to directly measure fluid velocity, offering a precise and cost-effective solution, especially suitable for industrial and environmental monitoring applications. The core of the load cell design is a precision voltage sensor that can alter its voltage output based on the velocity changes of the fluid flowing across its surface. This design enables the current meter to have a rapid response time and high measurement sensitivity to low-velocity fluid. Through meticulous calibration, this type of current meter can provide highly accurate measurements over a wide range of flow speeds. To further enhance its practicality and adaptability, the current meter's design includes various compensation mechanisms to counteract disturbances from environmental changes such as temperature and pressure variations. Additionally, modern data processing technologies are integrated into these current meters, making data collection and analysis more efficient and accurate, and facilitating remote data transmission and real-time monitoring.
This research introduces the design principles, manufacturing process, and performance under various conditions of the current meter. The designed current meter was installed on a marine buoy platform for testing, and correlation coefficients of ocean current speed and direction within a flow velocity range of grades 1 to 6 were obtained. This research proposes a practical application method that utilizes regression analysis to correct sensor measurement errors and combines it with Kalman filter to further validate data accuracy. Test results indicate that this method significantly reduces measurement data errors, enabling the measurement system to provide stable and reliable data in variable ocean current observation environments.

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