7results about How to "Increase hardware cost" patented technology

The invention relates to an ultrasonic fluid metering precision improving method and related equipment, and the method comprises the steps: exciting a first ultrasonic transducer through an excitation wave sequence, enabling a second ultrasonic transducer to work, obtaining a received digital signal corresponding to the excitation wave sequence, and calculating the signal-to-noise ratio of the received digital signal; wherein the excitation wave sequence is a combination of a main wave and a self-damping wave, and the signal-to-noise ratio is a ratio of a peak-to-peak value of a receiving signal area to a peak-to-peak value of a noise area; judging whether the signal-to-noise ratio is greater than a signal-to-noise ratio threshold value or not, if not, adjusting the occupation time of the high and low levels of the self-damping waves, and executing the excitation work again according to the adjusted excitation wave sequence until the actual signal-to-noise ratio is greater than the signal-to-noise ratio threshold value; and determining the corresponding excitation wave sequence when the actual signal-to-noise ratio is greater than the signal-to-noise ratio threshold as a target excitation wave sequence, and exciting the ultrasonic transducer to work according to the target excitation wave sequence so as to execute metering operation. According to the method, the measurement precision is remarkably improved while the hardware cost is not increased.

This invention belongs to the field of human-computer interaction technology, specifically relating to a microphone-based human-computer interaction method, device, medium, and system. The method includes: acquiring audio signals collected by at least one microphone on an electronic device; performing transient pulse detection on the audio signals, identifying short-time sound pulse signals, and calculating the pulse signal-to-noise ratio (SNR); performing spectral feature analysis on the audio signals, detecting the spectral changes of ambient sound signals before and after pressing; dynamically adjusting the comprehensive confidence weighted fusion weights based on the pulse SNR to determine whether a valid event has occurred; and generating corresponding interactive control commands if a valid event has occurred. Compared with existing technologies, this invention solves the problems of increased production costs due to added physical structures and incompatibility with existing production lines, as well as insufficient detection accuracy and susceptibility to false recognition when relying solely on microphones. This solution achieves microphone-press interaction without relying on additional hardware and exhibits high recognition rate and low false alarm rate under various environmental noise conditions.

The invention discloses a power failure protection system for a small AI cloud server, and relates to the technical field of direct-current power supply electronic equipment. A direct-current power supply input module in the system is connected with an external direct-current power supply; the system power supply module supplies power to the AI cloud server; the charging power supply generation module converts an input voltage into a stable voltage for charging; the farad capacitor charging and discharging module stores electric energy; when the full charge monitoring module monitors that the farad capacitor charging and discharging module is fully charged, a full charge signal is output; the power-down monitoring module outputs a power-down signal when monitoring that the external direct-current power supply is powered down; the CPU responds to the full electric signal and controls the charging power supply generation module to stop outputting; and responding to the power failure signal, executing a data protection process, controlling the standby power switch module to be switched on, and switching to the farad capacitor charging and discharging module to supply power to the AI cloud server, so that rapid seamless power switching and reliable data protection of the small AI cloud server during power failure are realized, the cost is low, and the reliability is high.

This disclosure presents embodiments of a single-lens-based image display method, apparatus, device, medium, and product. One specific implementation of the method includes: acquiring a scene image data stream captured by a target camera sensor; encoding the acquired scene image data stream to obtain a main stream; encoding the acquired scene image data stream based on a target region to obtain a secondary stream; and pushing the obtained main and secondary streams to an associated terminal device, causing the terminal device to display the main image of the corresponding main stream and the sub-image of the corresponding secondary stream. This implementation requires only a single lens to achieve a dual-image effect, reducing hardware costs and assembly complexity, lessening restrictions on product structure, and meeting users' personalized needs for selecting magnified areas.

The application provides a low-cost UWB single-anchor mobile phone fusion positioning system, which comprises a UWB anchor module, a smart phone and a UWB tag module, wherein the UWB anchor module is regarded as a UWB base station, and the position of the UWB anchor module is P BAS The UWB anchor module calculates and outputs distance information D between the UWB anchor module and the UWB tag module in real time, that is, the ranging is completed 1 , D 2 , D 3 The smart phone is connected with the UWB anchor module through a local area network, and the smart phone synchronously and in real time obtains the distance information D The application solves the problems of complicated deployment and high cost of the existing UWB indoor positioning, and is a low-cost, simple-to-deploy and long-term stable indoor UWB single-anchor fusion positioning system.

The present application relates to the technical field of signal processing, in particular to a kind of distributed optical fiber acoustic sensing method and sensor of coherent fading suppression.Method includes: coupler divides continuous light into probe light and local oscillator light;Probe light is modulated into difference frequency delay double pulse by double pulse generator;Difference frequency delay double pulse is power amplified by erbium-doped fiber amplifier;After power amplification, after spontaneous emission noise is filtered out by optical band-pass filter, by circulator, inject into the optical fiber to be measured;Two pulses in pulse train generate RBS signal in the optical fiber to be measured and pass through circulator, pass through coupler and divide into two beams with equal power;One is mixed with local oscillator light by coupler, and the mixed light beam is received by balanced photodetector and then collected by data acquisition system;Another is directly received by ordinary photodetector;The present application realizes coherent fading suppression of distributed optical fiber acoustic sensor by combination processing of the output signals of two photodetectors.

The invention discloses a fan yaw error self-correction control method, and relates to the technical field of wind power generation intelligent control, and the method comprises the following steps: S1, collecting a fan blade aerodynamic noise signal and fan operation data, and carrying out filtering, time synchronization calibration and blind source separation on an original signal to obtain a preprocessed aerodynamic noise signal; s2, based on the preprocessed aerodynamic noise signals, sound pressure level effective values of the windward side blades and the leeward side blades are extracted, and a noise symmetry coefficient is constructed; the method is based on an airport-end acoustic array. According to the wind turbine yaw error self-correction control method, the real inflow direction of a wind wheel is directly mapped through the spatial distribution characteristics of aerodynamic noise of the blades, the logic limitation of traditional indirect representation errors is broken through, high-precision perception and quick response of yaw errors are achieved, the wind energy capture efficiency and the power generation performance are effectively improved, and the wind turbine yaw error self-correction control method is suitable for large-scale popularization and application. The equipment service life is prolonged; the failure rate is reduced; and the system reliability is improved.