Abstract: A non-invasive liquid detection method based on acoustic wave features and an apparatus thereof, the method includes: collecting acoustic waves penetrating a liquid to be tested and extracting acoustic absorption-transmission curve features from the acoustic waves to generate a liquid fingerprint, the acoustic absorption-transmission curve features represent a ratio of an energy of an acoustic signal penetrating the liquid to an energy of an acoustic signal emitted across a plurality of frequencies; inputting the liquid fingerprint into a trained neural network model for detection processing, and outputting detection results. The neural network model is trained with a plurality of sets of data, and each set of data includes: acoustic absorption-transmission curve features, and a label identifying a feature that meets a detection requirement in the acoustic absorption-transmission curve features.

Abstract: A control method and a control apparatus of a wind power generator set are provided, in which a wind speed at a location of the wind power generator set is acquired, turbulence intensity is calculated according to the wind speed, and a wind speed distribution range corresponding to the turbulence intensity is determined; a thrust variation amplitude of the thrust in the wind speed distribution range is determined based on a relationship among the thrust suffered by a wind wheel of the wind power generator set, a thrust coefficient and the wind speed; and a maximum rotating speed and a maximum torque of the wind wheel in the wind speed distribution range are adjusted according to the thrust variation amplitude. The maximum rotating speed and the maximum torque makes a fatigue load of the wind power generator set in the wind speed distribution range meet a preset standard.

Abstract: A control method and a control apparatus of a wind power generator set are provided, in which a wind speed at a location of the wind power generator set is acquired, turbulence intensity is calculated according to the wind speed, and a wind speed distribution range corresponding to the turbulence intensity is determined; a thrust variation amplitude of the thrust in the wind speed distribution range is determined based on a relationship among the thrust suffered by a wind wheel of the wind power generator set, a thrust coefficient and the wind speed; and a maximum rotating speed and a maximum torque of the wind wheel in the wind speed distribution range are adjusted according to the thrust variation amplitude. The maximum rotating speed and the maximum torque makes a fatigue load of the wind power generator set in the wind speed distribution range meet a preset standard.