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🌬️ Digital Anemometer

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Author: Abdullah Ibne Alam
Date: August 24, 2005
Technology: C++ (MFC: Microsoft Foundation Class) Microsoft Visual C++ 6.0


📖 Overview

The Digital Anemometer is an advanced wind measurement device designed to provide precise wind velocity readings with modern digital connectivity features. It seamlessly integrates sensor-based measurement, PC interfacing, and server-based data management for real-time monitoring and analysis.


⚙️ Features

🌀 Wind Velocity Measurement

Accurately measures wind speed using high-precision sensors and advanced measurement algorithms. Provides real-time readings for environmental monitoring and research.

💻 Connection to PC

Designed to connect to a personal computer (PC) via a digital interface, enabling smooth data transfer and real-time monitoring of wind velocity data through a user-friendly software interface.

🧾 Data Recording

Continuously records wind velocity readings or captures data at defined intervals. The readings are stored locally on the PC, maintaining a complete log of wind behavior for analysis and reporting.

🌐 Upload to Server Database

Upload collected wind data to a central server database at scheduled intervals. This allows multiple anemometers across different sites to contribute to a unified dataset.

☁️ Remote Access and Analysis

Provides remote access to the server database from any internet-enabled device. Users can view, analyze, and download data from anywhere, enabling effective decision-making for:

  • Weather forecasting
  • Environmental monitoring
  • Renewable energy management
  • Aviation and research applications

📊 Data Visualization and Reporting

Includes visualization tools to display wind velocity data through interactive charts, graphs, and reports, helping users identify patterns, trends, and anomalies over time.


🧠 Summary

The Digital Anemometer offers a comprehensive solution for measuring, recording, and analyzing wind velocity with high accuracy and digital efficiency. Its integration of PC connectivity and server-based data management makes it ideal for diverse applications in meteorology, environmental science, renewable energy, and aviation.

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