A method of automatically setting an acoustic signal of a device for space monitoring by using the acoustic signal is proposed. The proposed is a technology for automatically setting the acoustic signal emitted from the device for space monitoring by using the acoustic signal for more precise measurement.

The invention provides a method of driving a vibrating sensor in which the drive signal is combined with an amplitude modulated high frequency carrier. The signal is demodulated at a position adjacent to the component to be driven. This method may be applied to reducing cross-talk between drive and pick-up wire pairs and also to passing both drive and pickup signals, and two drive signals, down the same wire pair.

The invention provides a method of driving a vibrating sensor in which the drive signal is combined with an amplitude modulated high frequency carrier. The signal is demodulated at a position adjacent to the component to be driven. This method may be applied to reducing cross-talk between drive and pick-up wire pairs and also to passing both drive and pickup signals, and two drive signals, down the same wire pair.

A method and an apparatus for acquiring semantic information, an electronic device and a storage medium are provided. The method includes: collecting an echo signal of vibrations of a throat; performing a Fourier transform on a waveform of each period of the echo signal to obtain a spectrogram of each period, wherein the spectrograms of M periods form a spectrogram set, the spectrogram set includes M spectrograms, and the spectrograms are arranged in sequence from first to last according to a return time sequence of the corresponding echo signal; extracting a characteristic waveform of the vibrations of the throat from the spectrogram set; segmenting the characteristic waveform to obtain characteristic segments containing the semantic information; and inputting the characteristic segments into a semantic acquisition model to acquire the semantic information.

A combined vapor and/or gas concentration sensor and switch includes a resonating structure, a first alternating current, AC, voltage source coupled to a drive electrode, the first AC voltage source providing the resonating structure with a first voltage having an amplitude causing a first vibration mode of the resonating structure to exhibit a pull-in band and having a first frequency response adjacent to the pull-in band, where the first frequency response is nonlinear, a second AC voltage source coupled to the drive electrode and providing a second voltage having a frequency so that a second frequency response of the resonant structure, adjacent to a third vibration mode, is linear, and a read-out circuit coupled configured to determine a vapor and/or gas concentration based on a difference between (1) the frequency of the second voltage and (2) a frequency obtained by the read-out circuit from the resonating structure.

A combined vapor and/or gas concentration sensor and switch includes a resonating structure, a first alternating current, AC, voltage source coupled to a drive electrode, the first AC voltage source providing the resonating structure with a first voltage having an amplitude causing a first vibration mode of the resonating structure to exhibit a pull-in band and having a first frequency response adjacent to the pull-in band, where the first frequency response is nonlinear, a second AC voltage source coupled to the drive electrode and providing a second voltage having a frequency so that a second frequency response of the resonant structure, adjacent to a third vibration mode, is linear, and a read-out circuit coupled configured to determine a vapor and/or gas concentration based on a difference between (1) the frequency of the second voltage and (2) a frequency obtained by the read-out circuit from the resonating structure.

An abnormal sound detection method and apparatus are provided. First, an abnormal sound signal is received. Next, the abnormal sound signal is converted into a spectrogram. Afterwards, image recognition is performed on the spectrogram for obtaining a defect category corresponding to the abnormal sound signal.

This signal processing device comprises: an acquisition unit for acquiring an acoustic signal; a measurement unit for measuring an acoustic level of the acoustic signal for every one of first frequency bands, which are a plurality of frequency bands of a preset first bandwidth; a calculation unit that, on the basis of the plurality of acoustic levels of the first frequency bands, identifies an acoustic feature quantity indicating the separation degree from normal acoustic levels of second frequency bands, which are a plurality of frequency bands of a second bandwidth that is wider than the first bandwidth; a first determination unit for determining whether the acoustic levels measured for every one of the first frequency bands are a first threshold value or greater; and a second determination unit for determining whether the acoustic feature quantity is a second threshold value or greater.

This signal processing device comprises: an acquisition unit for acquiring an acoustic signal; a measurement unit for measuring an acoustic level of the acoustic signal for every one of first frequency bands, which are a plurality of frequency bands of a preset first bandwidth; a calculation unit that, on the basis of the plurality of acoustic levels of the first frequency bands, identifies an acoustic feature quantity indicating the separation degree from normal acoustic levels of second frequency bands, which are a plurality of frequency bands of a second bandwidth that is wider than the first bandwidth; a first determination unit for determining whether the acoustic levels measured for every one of the first frequency bands are a first threshold value or greater; and a second determination unit for determining whether the acoustic feature quantity is a second threshold value or greater.

The subject of the present patent is a method to determine the flame shape of a swirling flame in a steady-operating burner in a closed combustion chamber. The broadband combustion noise of the burner is sensed inside the combustion chamber, and the spectrum and the sound pressure levels are calculated from the acoustic vibrations of the process. The conclusions are made on this data to determine the flame shape. To determine the governing frequencies, the burner is investigated at various operating conditions. At least one parameter from the fuel flow rate, combustion air flow rate, and the swirl number is varied in the physically accessible range of the burner. The spectrum is divided into 0-500 Hz, 501-2000 Hz, and 2 kHz-6 kHz frequency ranges, then the amplitudes at the band center frequencies are calculated. Based on either the temporal analysis of band center frequencies or the temporal variation of their ratio or the two combined, the shape of the swirling flame can be determined.