18 results about "Harmonic attenuation" patented technology

A radio frequency circuit include: a power amplifier circuit a harmonic attenuation circuit; a matching circuit; a filter; a first switch; a second switch; and a third switch. The matching circuit is coupled between the harmonic attenuation circuit and the power amplifier. The filter has an attenuation band including at least part of harmonic bands of a transmission band of a first band. The first switch is between the harmonic attenuation circuit and the filter. The second switch is between the filter and an antenna connection terminal. The third switch is between the matching circuit and the antenna connection terminal not via the harmonic attenuation circuit.

The present application belongs to the technical field of voice interaction, and particularly relates to a human-machine voice precise interaction method based on a large model. In view of the problems of voice source confusion, low instruction recognition rate and insufficient interaction safety caused by the complex acoustic environment in the vehicle cabin, the present application fuses reverberation features and harmonic attenuation features to construct acoustic fingerprints, and realizes high-precision sound source positioning in combination with seat occupancy state verification; performs priority filtering and semantic pre-alignment on non-main driver voice, and eliminates fragmented interference; introduces a large language model to standardize the mapping of structured text into instructions conforming to syntax, format and semantic specifications, and embeds a dynamic permission verification mechanism based on sound source position. The scheme significantly improves the voice instruction recognition accuracy and system robustness, effectively suppresses false triggering, enhances user privacy protection, provides an efficient and precise voice interaction experience for the intelligent cabin, and has outstanding technical practical value and industrial application prospects.

The invention provides a Chinese lute string fundamental frequency determination method and system, and the method comprises the steps: carrying out the time-frequency conversion of an audio signal, extracting a spectrum peak value, carrying out the energy weighting of the peak value according to a preset harmonic attenuation function, setting a candidate fundamental frequency set, constructing a preliminary harmonic cluster based on an initial non-harmonic coefficient, selecting a cluster with the highest energy, and calculating a real-time non-harmonic coefficient; and reconstructing candidate harmonic clusters according to the coefficient, and evaluating each harmonic cluster from two aspects of harmonic energy continuity and time domain correlation: calculating the sum of harmonic energy and combining with missing penalty to obtain an energy continuity score, and obtaining a time correlation score through a time cross-correlation mean value of fundamental frequency and each harmonic component energy envelope; and a comprehensive score is obtained after weighted summation.

The invention relates to a cogging torque weakening method and device of a hybrid excitation motor, and relates to the technical field of motor design. The method comprises the following steps: acquiring a current multiple harmonic amplitude coefficient, a first rotor tooth height and a current second rotor tooth height; determining a current optimization coefficient corresponding to the current multiple harmonic amplitude coefficient based on a preset mapping relation; based on the current multiple harmonic amplitude coefficient, the first rotor tooth height and the current second rotor tooth height, determining a salient pole rotor tooth height function after multiple harmonic pole clipping; performing analogue simulation on the hybrid excitation motor by using a salient pole rotor tooth height function to obtain a plurality of cogging torque peak values; and selecting the target multiple harmonic amplitude coefficient corresponding to the minimum value in the multiple cogging torque peak values and the second rotor tooth height as the target second rotor tooth height. According to the scheme, the cogging torque of the hybrid excitation motor is weakened.

This enables the creation of an optimized motor with a harmonic attenuation structure. [Solution] The motor includes a stator core and a rotor core, with a non-lead wire bobbin fixedly connected to the bottom end on one axial side of the stator core, removable insulating paper attached to the radially inner side of the non-lead wire bobbin, removable stator windings attached to the radially inner side of the non-lead wire bobbin, and a lead wire bracket fixedly attached to the other axial end of the stator core, with the stator core as part of the magnetic circuit and the stator windings arranged, and the core material is laminated using silicon steel plates of different thicknesses as needed to reduce eddy currents and hysteresis losses due to alternating magnetomotive force in the core, each silicon steel plate is connected at self-locking points, holes are drilled on both sides to accommodate the bobbin mounting, and the lead wire bracket is located at the top of the stator, supporting the copper coil and insulating protective components.

This invention discloses a load type identification method based on a circuit breaker intelligent algorithm. The method includes collecting various electrical parameters of the load, such as transient harmonic signals and temperature drift data, through a detection unit. After denoising and normalization preprocessing, a three-level progressive feature calculation is used to obtain the transient harmonic attenuation coefficient, electromagnetic coupling interference correction coefficient, and a comprehensive load characteristic discrimination value. The result is then compared with a load type feature database. This method integrates multiple key influencing factors and uses a progressive algorithm to collaboratively eliminate interference, solving the problem of inaccurate identification in existing methods and achieving accurate load type identification. It is applicable to industrial and residential power scenarios.

The invention relates to the technical field of routing inspection scheduling management, in particular to an intelligent equipment routing inspection scheduling optimization method fusing multi-source perception, which comprises the following steps: degradation situation perception: acquiring equipment voiceprint signals and infrared thermodynamic diagrams in real time, extracting harmonic attenuation rates of the voiceprint signals in a target frequency band, and calculating a degradation situation; calculating the temperature difference gradient offset of a core heating element area and a reference area in the thermodynamic diagram, and generating a dynamic degradation index; space-time constraint modeling: marking to-be-detected equipment, obtaining three-dimensional coordinates and equipment contour envelope data of the to-be-detected equipment, and constructing a scheduling model taking the maximum safety passing margin as a target; and path dynamic optimization: solving the scheduling model by adopting a taboo-ant colony hybrid algorithm, outputting an optimal tour-inspection path sequence of the team, and issuing the path sequence to the mobile terminal in real time to execute tour-inspection navigation. According to the routing inspection task scheduling method, the multi-dimensional space-time constraint elements are integrated into the schedulable path model, and a modeling basis with higher performability and safety is provided for routing inspection task scheduling.

A high-frequency circuit comprises: a power amplifier circuit; a harmonic attenuation circuit having an attenuation band encompassing at least a portion of the harmonic bands of a transmission band of a band; a matching circuit coupled between the harmonic attenuation circuit and the power amplifier circuit; a filter having a passband encompassing the transmission band of the band; a switch coupled between the harmonic attenuation circuit and the filter; a switch coupled between the filter and the antenna connection terminal; and a switch coupled between the matching circuit and the antenna connection terminal, bypassing the harmonic attenuation circuit.

A power amplifier circuit includes an isolation circuit, an impedance conversion circuit, and an amplifier circuit. The isolation circuit includes a second-harmonic attenuation unit and a fundamental attenuation unit. The second-harmonic attenuation unit, which receives a first signal obtained through division of an input signal, passes fundamental waves of the first signal, and attenuates second harmonic waves of the first signal. The fundamental attenuation unit, which receives a second signal obtained through division of the input signal, passes second harmonic waves of the second signal, and attenuates fundamental waves of the second signal. The isolation circuit outputs, from a combination point, a combined signal obtained by combining the first signal, which has passed through the second-harmonic attenuation unit, with the second signal, which has passed through the fundamental attenuation unit.

The invention belongs to the technical field of voice interaction, and particularly relates to a man-machine voice precise interaction method based on a large model. In order to solve the problems of voice source confusion, low instruction recognition rate, insufficient interaction safety and the like caused by a complex acoustic environment of a compartment, an acoustic fingerprint is constructed by fusing reverberation characteristics and harmonic attenuation characteristics, and high-precision sound source localization is realized by combining seat occupation state verification; performing priority filtering and semantic pre-alignment on the non-main driving voice, and eliminating fragmented interference; a large language model is introduced to standardize and map a structured text into an instruction conforming to grammar, format and semantic specifications, and a dynamic permission verification mechanism based on a sound source position is embedded. According to the scheme, the voice instruction recognition accuracy and the system robustness are remarkably improved, false triggering is effectively inhibited, user privacy protection is enhanced, efficient and accurate voice interaction experience is provided for the intelligent cockpit, and the technical practical value and the industrial application prospect are prominent.

This invention provides a method and system for determining the fundamental frequency of a pipa (a traditional Chinese stringed instrument). The method involves performing time-frequency transformation on an audio signal to extract spectral peaks, weighting the peak energy according to a preset harmonic attenuation function, and setting a candidate fundamental frequency set. First, an initial harmonic cluster is constructed based on initial anharmonic coefficients. The cluster with the highest energy is selected to calculate real-time anharmonic coefficients, and then these coefficients are used to reconstruct the candidate harmonic clusters. Each harmonic cluster is evaluated from two aspects: harmonic energy continuity and time-domain correlation. The total harmonic energy is calculated and combined with a missing component penalty to obtain an energy continuity score. Simultaneously, the time correlation score is obtained by calculating the mean time cross-correlation between the fundamental frequency and the energy envelopes of each harmonic component. A weighted sum is then used to obtain a comprehensive score.

Provided is a high-frequency circuit capable of reducing the passing loss of a high-frequency signal in a matching circuit (including a harmonic attenuation circuit) connected to the output end of a power amplifier circuit. A high-frequency circuit (1) is provided with: a power amplifier circuit (10); a harmonic attenuation circuit (30) having an attenuation band including at least a part of the harmonic band of the transmission band of the band A; a matching circuit (20) connected between the harmonic attenuation circuit (30) and the power amplification circuit (10); a filter (51) having a passband including a transmission band of a frequency band A; a switch (41) connected between the harmonic attenuation circuit (30) and the filter (51); a switch (61) connected between the filter (51) and the antenna connection terminal (100); and a switch (63) connected between the matching circuit (20) and the antenna connection terminal (100) without passing through the harmonic attenuation circuit (30).

The present invention provides a high-frequency circuit that can reduce the transmission loss of high-frequency signals in a matching circuit (including a harmonic attenuation circuit) connected to the output terminal of a power amplifier circuit. [Solution] The high-frequency circuit 1 comprises a power amplifier circuit 10, a harmonic attenuation circuit 30 having an attenuation band that includes at least a portion of the harmonic band of the transmission band of band A, a matching circuit 20 connected between the harmonic attenuation circuit 30 and the power amplifier circuit 10, a filter 51 having a passband that includes the transmission band of band A, a switch 41 connected between the harmonic attenuation circuit 30 and the filter 51, a switch 61 connected between the filter 51 and the antenna connection terminal 100, and a switch 63 connected between the matching circuit 20 and the antenna connection terminal 100 without going through the harmonic attenuation circuit 30.

The invention relates to the technical field of new energy grid connection, and discloses a parameter identification method, device and equipment based on a park energy system, and a medium, and the method comprises the steps: obtaining a plurality of to-be-identified parameters of the park energy system, the plurality of to-be-identified parameters comprise line resistance, line inductance, line capacitance, capacity of a wind power converter, capacity of a photovoltaic inverter, short-circuit impedance of a transformer, a proportional gain coefficient of the photovoltaic inverter, an integral gain coefficient of the photovoltaic inverter, a control parameter of the wind power converter and a harmonic attenuation coefficient; and generating a comprehensive deviation corresponding to each parameter combination according to the comprehensive deviation function, selecting the parameter combination with the minimum comprehensive deviation as a target parameter combination of the park energy system, and completing grid-connected connection between the park energy system and the public power grid according to the target parameter combination. The identification efficiency of the target parameter combination of the park energy system can be improved, and the target parameter combination can provide powerful guarantee for safe grid connection of the park energy system.

The invention relates to the technical field of voice recognition, in particular to a voice recognition method and system of an AI intelligent voice remote controller, and the method comprises the steps: collecting audio signals in real time through the voice remote controller, and carrying out the frequency domain transformation of each frame of audio signal; analyzing the energy fluctuation degree and the energy deviation degree of each frame of audio signal in the frequency domain, and determining the short-time energy correlation intensity of each frame of audio signal; identifying each trailing envelope in the fundamental frequency component of each frame of audio signal, measuring the fundamental frequency trailing effect of the audio signal, and obtaining the pulse harmonic attenuation degree of each frame of audio signal in combination with the wave crest form distribution of each frame of audio signal in the time domain; and in combination with the short-time energy correlation intensity and the pulse harmonic attenuation degree, constructing human voice saliency of each frame of audio signal, thereby extracting a human voice signal in the collected audio signals, and performing voice recognition on the human voice signal. Therefore, the human voice interaction sound source is effectively extracted from the audio signal, and the human voice audio identifiability is improved.

Provided is a power amplifier circuit capable of suppressing the influence of intermodulation distortion. The power amplifier circuit includes an isolation circuit and a control circuit. The signal processing device includes a second harmonic attenuation unit that inputs a first signal obtained by distributing the input signal and attenuates a second harmonic of the first signal by passing through a fundamental wave of the first signal, and a fundamental wave attenuation unit that inputs a second signal obtained by distributing the input signal and attenuates a fundamental wave of the second signal by passing through a second harmonic of the second signal. An output unit that outputs, from a combining end unit, a combined signal obtained by combining the first signal that has passed through the second harmonic attenuation unit and the second signal that has passed through the fundamental wave attenuation unit; an impedance conversion circuit that inputs the composite signal at an input end and outputs an output composite signal obtained by converting the impedance of the composite signal from an output end, the impedance conversion circuit including a transmission line transformer that converts the impedance such that the impedance at the input end is greater than the impedance at the output end; and an amplification circuit that amplifies the combined signal and outputs an amplified signal.

The invention discloses a load type identification method based on a circuit breaker intelligent algorithm, and the method comprises the steps: collecting various types of electrical parameters, such as transient harmonic signals and temperature drift data, of a load through a detection unit; and a transient harmonic attenuation coefficient, an electromagnetic coupling interference correction coefficient and a load characteristic comprehensive discrimination value are obtained through three-stage progressive characteristic calculation, and are compared with a load type characteristic library to output a result. According to the method, multi-dimensional key influence factors are fused, interference is cooperatively eliminated through a progressive algorithm, the problem that an existing method is inaccurate in identification is solved, accurate identification of the load type is achieved, and the method is suitable for industrial and civil electric power scenes.

This invention relates to a method for connecting a four-branch mixed-pitch winding of an odd-pair integer-slot three-phase motor, belonging to the field of AC windings. The method involves dividing the odd-pair integer-slot motor into two types of unit motors: full-pitch and short-pitch. After evenly grouping the bars in each type of unit, a group from each type is connected in series to form a branch. Each phase forms four branches with balanced potential. These branches are then connected in parallel to obtain a three-phase symmetrical four-branch mixed-pitch winding. This structure maintains branch balance while having an overall short-pitch coefficient of less than 1, effectively suppressing harmonics and improving voltage waveform quality. It solves the problem that existing odd-pair integer-slot three-phase motors require a full-pitch four-branch balanced winding, lacking a short-pitch coefficient and having limited harmonic attenuation capabilities.