| Summary: | 碩士 === 國立高雄科技大學 === 電腦與通訊工程系 === 107 === Wind speed measurements are used in many environments, such as highways, MRT elevated roads, and wind turbines. Excessive wind power may cause disasters, so detecting wind speed is one of the most important factors for safety. At present, the general wind speed warning system uses the average wind speed or the instantaneous wind speed as the decision-making basis for issuing warnings. It may cause the measurement data to be averaged, so that the average wind speed cannot reflect the current real situation, and the instantaneous wind speed may float near the warning threshold without correctly triggering the warning. Therefore, this thesis proposes a wind quality decision system, using Kalman filter as the wind parameter estimator, and applying new wind parameters to the wind system model for parameter estimation. The results show that the wind quality decision system can provide earlier decisions than the previous system model, and the probability of correctly triggering the warning increases as the instantaneous wind speed floats near the wind speed warning threshold. Therefore, the overall performance may be improved by using the proposed decision system for determining the wind quality.
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