优化采样策略，80%降采样仍保精度，提升工业无线数据采集效率
Smart Sampling Strategies for Wireless Industrial Data Acquisition
- 设计智能采样策略，动态调整采样频率
- 采样率降低80%而测量质量无损
- 适合资源受限的工业无线传感场景
在工业环境中，数据采集精度对过程控制与优化至关重要。无线遥测已证明能提升完井作业效率，支持双向通信与井下工具的实时控制。然而，高采样频率带来数据存储、传输、计算资源消耗及无线设备电池寿命等挑战。本研究探索优化数据采集策略，以减少混叠效应和系统误差，同时在不牺牲测量精度的前提下提高采样效率。结果表明，采样频率可降低80%而保持测量质量，展示了工业环境中资源优化的巨大潜力。
原文摘要 · Abstract (English)
In industrial environments, data acquisition accuracy is crucial for process control and optimization. Wireless telemetry has proven to be a valuable tool for improving efficiency in well-testing operations, enabling bidirectional communication and real-time control of downhole tools. However, high sampling frequencies present challenges in telemetry, including data storage, transmission, computational resource consumption, and battery life of wireless devices. This study explores how optimizing data acquisition strategies can reduce aliasing effects and systematic errors while improving sampling rates without compromising measurement accuracy. A reduction of 80% in sampling frequency was achieved without degrading measurement quality, demonstrating the potential for resource optimization in industrial environments.
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