778 results about "Low pass filtering" patented technology

The invention relates to the technical field of inverter power control, and discloses a given current-based inverter power control method and system, and the method comprises the steps: calculating a fluctuation compensation parameter based on a bus voltage, and carrying out the real-time compensation of a q-axis basic current, and obtaining a first given q-axis current; predicting the bus voltage of the next period and correcting the first given q-axis current in advance to obtain a second given q-axis current; on the basis of the stator voltage saturation state, weak magnetic d-axis current given is generated, low-pass filtering is carried out on the second q-axis current given and the weak magnetic d-axis current given, and a d-axis current instruction and a q-axis current instruction are obtained; a PWM driving signal corresponding to a dq-axis current instruction is generated, an inverter switch is controlled, meanwhile, a power deviation signal is collected to update q-axis basic current, accurate prediction of bus voltage and advanced correction of given current are achieved, compared with traditional lag compensation, the dynamic response is faster, and the power control precision and the operation stability are improved.

The invention discloses a reversible information hiding method and system for enhancing image smoothness, and relates to the technical field of information security, and the system comprises a preprocessing module, an information embedding module and an optimization recovery module. According to the method, the Sobel operator is utilized to calculate the image gradient map, the region is divided based on the threshold T, the smooth region and the texture region can be accurately distinguished, an accurate basis is provided for differential processing of different regions, region characteristics are fitted, large-size blocks and sub-blocks of the smooth region are divided to facilitate subsequent refinement processing based on the gradient mean value, and the processing efficiency is improved. The small-size blocks of the texture area are beneficial to operation aiming at texture features, the rationality and effectiveness of overall processing are improved, meanwhile, the pixel mean value in the large-size blocks of the smooth area is calculated, the pixel and mean value difference value is recorded, reversible low-pass filtering is carried out, and the reversibility of the image in the whole information hiding and recovering process is ensured.

The embodiment of the invention provides a collision detection method and equipment for a humanoid robot. The method comprises the steps that resultant force, collected by a force sensor, of the tail end of the mechanical arm is obtained, derivation is conducted on the resultant force in time, first force change rate data of the resultant force in a time domain are obtained, low-pass filtering is conducted on the first force change rate data based on a preset frequency threshold value, and second force change rate data of the resultant force in the time domain are obtained; the preset frequency threshold value is determined by converting historical force change rate data into data on a frequency domain, the historical force change rate data is obtained by deriving resultant force obtained in the operation process with collision on time, and a collision detection result is determined according to the second force change rate data and the preset threshold value. According to the method provided by the embodiment of the invention, the calculation process is simple and efficient, and the target object screening efficiency and accuracy are improved.

The invention belongs to the field of sensors and signal processing, and particularly relates to a wavelet kernel scale sensitivity oriented abrasive particle induced voltage signal noise reduction method, which comprises the following steps: acquiring an abrasive particle induced voltage signal, and carrying out harmonic elimination on the abrasive particle induced voltage signal to obtain a preprocessed signal; constructing a wavelet kernel function, and calculating the wavelet kernel function and the preprocessed signal to obtain a kernel scale guiding spectrum; constructing a sparse joint noise reduction model based on the kernel scale guiding spectrum; processing the sparse joint noise reduction model to obtain a convex optimization objective function; solving the convex optimization objective function by combining a self-adaptive step gradient descent method and a self-adaptive iterative shrinkage threshold method to obtain a weight vector representing the distribution of the abrasive particle characteristic signals; carrying out binarization processing on the weight vector representing the distribution of the abrasive particle characteristic signals to obtain a characteristic indication vector; carrying out Hadamard product on the feature indication vector and the preprocessed signal, and then carrying out low-pass filtering to obtain a noise reduction signal; according to the method, the abrasive particle characteristic signals can be self-adaptively subjected to non-destructive enhancement and noise reduction processing in a strong interference environment.

The invention relates to the technical field of signal processing, in particular to a high-speed unmanned aerial vehicle structure servo elastic coupling vibration suppression control method, system and device, a medium and a program product. Obtaining a target control loop causing resonance; spectral analysis is carried out, and double-center frequencies causing resonance are obtained; a cascade wave trap with double center frequencies is designed; and the servo elastic coupling vibration of the unmanned aerial vehicle structure is suppressed. According to the method, the problems of difficulty in structure modification, narrow notch frequency range and large low-pass filtering delay of an existing structure servo elastic coupling resonance solving method are solved, the performance of a control system cannot be reduced, and the flight safety is ensured.

The invention belongs to the technical field of image processing, and particularly relates to an MBR flat membrane surface physical damage visual identification method and system, and the method comprises the steps: carrying out the low-pass filtering of a microscopic gray image, so as to melt a micropore background; calculating a texture variation index based on the outlier degree of the gray values of the neighborhood pixel points and the neighborhood gray dynamic contrast gain; determining a damage aggregation weight by using a space attenuation accumulation value, and eliminating isolated noise points; the texture variation index and the damage aggregation weight are fused through a self-adaptive gating function, and damage confidence is generated; and finally marking a connected damage region based on statistical threshold binarization and morphological processing. According to the method, dense micropore interference can be effectively inhibited, and the physical damage identification precision is improved.

The invention provides a control method and system of a permanent magnet synchronous motor, computer equipment and a medium, and belongs to the field of motor control, and the method comprises the steps: obtaining stator current and voltage signals of the permanent magnet synchronous motor; constructing and operating a second-order sliding mode observer to output a stator current observation value; based on the current observation error and the change rate thereof, constructing a mixed sliding mode surface containing a linear term and a nonsingular terminal term, and designing a sliding mode control law; the control law is fed back to an observer to correct the observation process, and meanwhile two-phase observation counter electromotive force which is free of buffeting and does not need low-pass filtering is directly exported; closed-loop demodulation is carried out on the back electromotive force through a phase-locked loop, estimated values of the rotor position and the rotating speed are extracted, and finally position-sensorless vector control of the permanent magnet synchronous motor is achieved. According to the method, the buffeting phenomenon of a traditional sliding-mode observer is inhibited, a low-pass filter is avoided, phase lag is eliminated, and the estimation precision and the dynamic response performance of the system are improved.

The invention discloses a bidirectional flow measurement ultrasonic flowmeter, and relates to the technical field of bidirectional flow measurement. The ultrasonic flowmeter comprises an amplifying circuit, a balance and unbalance conversion circuit, a signal frequency mixing circuit, a low-pass filtering amplifying circuit, an automatic gain tracking adjusting circuit and an ADC (Analog to Digital Converter). And after the signal reflected and diffracted by the liquid is amplified by the amplifying circuit, the balanced and unbalanced conversion circuit converts the amplified single-ended signal into a differential signal. After a differential signal and an input local oscillator signal are mixed by the signal mixing circuit, gain adjustment is carried out on the differential signal and the input local oscillator signal sequentially through the automatic gain tracking adjustment circuit, upper frequency is filtered out through the low-pass filtering amplification circuit, and finally signal acquisition is carried out through the ADC. According to the ultrasonic flowmeter, the effective signal collection effect is improved, and the ultrasonic flowmeter is smaller in size space, lower in cost and more excellent in performance.

The invention belongs to the technical field of power systems, and particularly discloses a fault prediction method for a thyristor and a BOD (Biochemical Oxygen Demand) in an SVC (Static Var Compensator), which comprises the following steps: an optimized data acquisition stage: continuously acquiring and storing data by utilizing a long short-term memory network, and dividing fault types into thyristor open circuit, thyristor short circuit, trigger angle deviation and normal state; establishing a prediction model: analyzing historical operation data by using a time sequence method, generating the prediction model by using a convolutional neural network and a long-short-term memory method, predicting the operation trend of the equipment in real time, and generating an early warning notice; a BOD protection circuit is optimized, wherein a BOD overvoltage detection branch and low-pass filtering branches R1 and C1 are established on a thyristor main circuit.

The invention discloses a no-load state monitoring method and system for an aircraft power supply system, and relates to the technical field of electrical parameter measurement and aircraft power supply system monitoring. Initializing a monitoring system, calibrating a voltage sensor, a current sensor, a frequency sensor and an impedance sensor, setting a no-load state judgment threshold system, and importing historical no-load data as a comparison reference; no-load voltage, current, frequency and impedance signals are synchronously acquired through sampling frequency of the sensor group, and the signals are transmitted to the data processing unit through the shielding cable; median filtering and low-pass filtering are adopted to remove noise interference, normalization processing is carried out on the signals, and basic electrical parameters are calculated; calculating core characteristic values of the voltage stability, the frequency fluctuation coefficient, the impedance stability and the harmonic distortion rate; comparing the characteristic value with a preset threshold value, judging whether the state is normal or not by combining historical data, and identifying an abnormal type; and outputting a judgment result in real time, and starting acousto-optic early warning in case of abnormality. Abnormal traceability and trend prediction are realized, and safe and stable operation of an aircraft power supply system is guaranteed.

The invention provides an eddy current sensor signal noise reduction method based on frequency division detection low-pass filtering and a monitoring system, belongs to the technical field of sensor signal processing, and can at least partially solve the problems of unstable signals and inaccurate measurement in the prior art. The signal noise reduction method for the eddy current sensor comprises the following steps: processing an original output signal of the eddy current sensor by adopting a synchronous detection module, demodulating a dynamic vibration alternating current component of the original output signal into a direct current voltage signal by utilizing a reference signal, and separating a static displacement direct current component signal; an independent dynamic signal channel and an independent static signal channel are formed; filtering high-frequency noise in the dynamic signal channel through a dynamic channel low-pass filter with a first preset cut-off frequency, and filtering power frequency interference in the static signal channel through a static channel low-pass filter with a second cut-off frequency; and reversely injecting compensation voltage at the output end of the static channel low-pass filter so as to eliminate the direct-current offset error of the static displacement component signal.

The invention relates to the technical field of power system frequency stability control, in particular to a power system inertia online evaluation method and device, equipment and a medium, and the method comprises the steps: obtaining frequency deviation data and active power data of each node, carrying out the low-pass filtering of the frequency data, and calculating the amount of active unbalance; an inertia response model is constructed based on the rotor motion equation of the synchronous generator, and inertia and damping coefficients are estimated by using a least square method; constructing a transfer function and judging the stability of the transfer function, if the transfer function is stable, inputting an active unbalance amount to obtain a frequency deviation predicted value, and calculating a Pearson correlation coefficient with an actual frequency; different time periods are selected through a sliding window to repeat the process, finally, the inertia corresponding to the maximum Pearson's correlation coefficient is selected as a system inertia evaluation result, the inertia level of the system can be accurately evaluated on line through the method, and therefore data support is provided for frequency control, and the frequency stability and safety of the system are guaranteed.

The invention belongs to the technical field of electrical engineering, and particularly relates to a dynamic intelligent control method and system for a variable-frequency speed regulation system, and the method comprises the steps: in the offline stage of the system, automatically setting the total rotational inertia and the optimal compensation gain of the system through injecting a test torque and monitoring critical oscillation; in the online operation stage, active electromagnetic power is calculated by collecting bus voltage and current, theoretical inertia power is calculated by combining mechanical angular velocity, and the difference value of the active electromagnetic power and the theoretical inertia power is used as a disturbance power observation value after low-pass filtering; a singular-point-free equivalent angular velocity is constructed by using a set minimum effective rotating speed threshold value, disturbance power is converted into disturbance torque, and the zero-division singular problem of a low-speed region is effectively avoided; and calculating a compensation current, carrying out dynamic amplitude limiting according to the residual current margin of the frequency converter, and superposing the residual current to a speed ring for output. According to the method, the problem of calculation divergence of traditional power disturbance observation in a low-speed region is solved, and disturbance suppression and robust control in a full-speed region are realized on the premise of ensuring system safety.

The present application relates to the technical field of communications, and in particular to a switch-based compact phase shifter and an integrated phase shifter, which solve the problems of excessive size and costs of existing phase shifters. The switch-based compact phase shifter comprises: a first filter network, the first filter network being an Nth order high-pass filter network; a second filter network, the second filter network being an Mth order low-pass filter network; and a third filter network, the third filter network being an Rth order low-pass filter network; wherein: the first filter network, the second filter network, and the third filter network are connected in parallel by means of a double-pole three-throw switch; and when the second filter network is turned on alone, the insertion phase of the switch-based compact phase shifter is a reference phase; when the third filter network is turned on alone, the insertion phase of the switch-based compact phase shifter is a first phase; when only the first filter network and the second filter network are turned on, the insertion phase of the switch-based compact phase shifter is a second phase; and when only the first filter network and the third filter network are turned on, the insertion phase of the switch-based compact phase shifter is a third phase.

An apparatus comprising an interface and a processor. The interface may be configured to receive pixel data of an environment. The processor may be configured to process the pixel data arranged as video frames, generate a luminance distribution map of the video frames in response to a low-pass filter operation, determine a plurality of defogging intensity weights for the luminance distribution map, perform adaptive smoothing to each of the plurality of defogging intensity weights, and generate defogged video frames in response to the video frames and the plurality of defogging intensity weights with the adaptive smoothing. The plurality of defogging intensity weights may each correspond to one of a plurality of luminance intervals of the luminance distribution map. The adaptive smoothing may be configured to prevent brightness differences in the defogged video frames.

The invention discloses a full-closed-loop control method for a humanoid robot joint module based on an FPGA (Field Programmable Gate Array), which relates to the technical field of robot control and comprises the following steps of: performing second-order active low-pass filtering and programmable gain amplification on analog signals of an encoder, a gyroscope and a force sensor to convert the analog signals into digital signals; a multi-dimensional feature sequence is constructed, temperature signals of a joint driver and an encoder are collected through a temperature sensor interface, a temperature drift model is constructed, and zero drift compensation parameters are obtained; further obtaining a joint elastic deformation error, and applying the joint elastic deformation error to an encoder signal for online offset correction; outputting a reconfiguration region selection signal based on the lightweight neural network; and triggering bit stream local refresh corresponding to the PR Region according to a region selection signal output by the lightweight neural network. The problem that a control loop is difficult to eliminate flexible errors due to the fact that a traditional rigid model or a constant parameter model is difficult to reflect deformation characteristics under the heat-lubrication-load combined action in real time is solved.

The invention provides a reference voltage circuit and a DCDC converter, and relates to the technical field of semiconductors. The reference voltage circuit comprises a band-gap reference module and an operational amplifier module, the operational amplifier module is configured to enable the band-gap reference module to output initial reference voltage based on negative feedback operation, the operational amplifier module is configured with a first group of chopping switches, the band-gap reference module is configured with a second group of chopping switches, the first group of chopping switches has a first switching signal period, and the second group of chopping switches has a second switching signal period. The second group of chopping switches has a second switching signal period, and one of the first switching signal period and the second switching signal period is nested with the other one, so that error signals generated by the band-gap reference module and the operational amplifier module are reversely superposed; and the low-pass filtering module is configured to perform low-pass filtering on the initial reference voltage. According to the technical scheme, the reference voltage circuit meeting the requirement of a high-precision analog integrated circuit for the reference voltage can be obtained.

The application belongs to the technical field of motor drive control, and discloses a permanent magnet synchronous motor current loop control method based on a predictive nonlinear active disturbance rejection, which comprises the following steps: step 1, establishing a permanent magnet synchronous motor control system model considering time delay; step 2, establishing a current loop extended state observer with time delay compensation; and step 3, designing a nonlinear current feedback control law based on finite time convergence. The application establishes a discrete domain extended model for the current loop of the permanent magnet synchronous motor, and proposes a high-performance nonlinear active disturbance rejection current control method for the permanent magnet synchronous motor. The high-frequency response current controller designed by the application is composed of a predictive extended state observer and a nonlinear current feedback control law, and can solve the problem that the frequency response of the permanent magnet synchronous motor drive is limited due to the digital delay in the motor digital control system and the low-pass filter delay in the current feedback channel, and improve the anti-disturbance performance when the motor parameters change.

The invention discloses a real-time monitoring and analyzing method and system for underwater settlement deformation, and belongs to the technical field of marine surveying and mapping and deformation monitoring. The method comprises the following steps: calculating wave height, wave period and wave direction elements of waves through a water surface fluctuation inversion model; carrying out denoising processing on the obtained water depth data; a gyroscope and a GNSS buoy are used for dynamic wave measurement, and sea level and wave information is separated through low-pass filtering according to the frequency spectrum characteristic difference of the sea level and waves so as to correct the attitude of the buoy; the buoy measurement data and the water depth data collected by the pressure sensor are synchronized, the water surface height right above the measurement pile is calculated in combination with a water surface fluctuation inversion model, and the real-time elevation of the water bottom is obtained; and according to the water bottom real-time elevation and the water bottom settlement grade division standard, triggering early warning of a preset grade through the data cloud platform. According to the invention, real-time monitoring of underwater settlement deformation is realized, the monitoring period is shortened, the monitoring timeliness is improved, and the underwater settlement risk is found in time.

The invention discloses a viscoelastic wave reverse time migration imaging method based on finite difference algorithm solution, and the method comprises the steps: S1, combining with the complex modulus of a constant Q model, and deriving a viscoelastic wave attenuation equation suitable for finite difference algorithm solution through introducing weighting function approximation; s2, establishing a viscoelastic wave compensation equation by introducing a compensation item for compensating energy attenuation when seismic waves are propagated in a viscoelastic medium, and combining the wave field compensation item with low-pass filtering for calculation to realize stable compensation of a wave field; s3, performing longitudinal and transverse wave field separation on the seismic source wave field and the detector wave field; s4, applying a seismic source normalization cross-correlation imaging condition to the separated wave field to obtain an attenuation compensation reverse time migration imaging result; and S5, setting a seismic wave excitation source and a signal receiving device for wave field data acquisition. The method provided by the invention can effectively improve the precision and resolution of seismic imaging in the viscous medium.

The invention relates to the technical field of state monitoring of rail transit equipment, and discloses a rack rail train gear online detection system and method, and the system comprises a laser sensor array module; a visual perception assembly module; a trigger module; and a data processing module. The method comprises the following steps: synchronously acquiring vertical distance data and an image sequence; applying an optical flow algorithm to track an image sequence to calculate a gear rotation angle; installing errors and vehicle vibration are separated through cross-correlation and low-pass filtering, and distance data are corrected; reconstructing the full-circle geometric contour of the gear according to the rotation angle; and finally, geometric deviation and surface damage are judged based on contour and image analysis. According to the invention, through multi-modal data fusion and error decoupling, high-precision automatic on-line detection of the gear of the rack rail railway vehicle under the dynamic passing working condition of the vehicle is realized, and the problems that the traditional off-line dismounting detection efficiency is low and early damage cannot be found in time are solved.

The invention relates to the technical field of vehicle positioning, in particular to a vehicle state detection method, medium and equipment, and the method comprises the following steps: obtaining the data of an IMU sensor installed on a vehicle; performing low-pass filtering processing on the IMU data; calculating a multi-scale absolute deviation integral statistic of the long and short windows based on the processed IMU data, and constructing a statistic time sequence feature vector; and constructing a TCN time convolution network based on the time sequence feature vector, training the TCN time convolution network according to the label data to obtain a model, and judging the motion state by using the trained model. According to the method, the motion state rule is learned from the multi-scale absolute deviation integral statistics by using the TCN time convolutional network model, the vehicle motion state in a continuous low-speed straight line or frequent starting scene under GNSS long-term lock losing can be effectively identified, and the method has very high vibration resistance and is suitable for both fuel vehicles and electric vehicles.

The invention discloses a wide-range switch tube leakage current detection method and system, and relates to the technical field of semiconductor device detection, and the method comprises the steps: connecting a to-be-detected NMOS switch tube with a trans-impedance amplifier, and collecting the drain current; the trans-impedance amplifier converts drain current into an output voltage signal V. The switchable feedback resistor at least comprises two feedback branches corresponding to different ranges. When it is detected that the output voltage approaches a negative output saturation threshold, a corresponding gain range is switched; before each measurement period, an analog-to-digital converter is grounded through an analog switch, system offset voltage is sampled, and a digital compensation value of switch tube leakage current is calculated and compensated; rC low-pass filtering and software notch filtering are carried out on the compensated voltage signal, and then sampling is carried out; and comparing the sampling result with a preset threshold value, and outputting a leakage current detection result. According to the invention, the accuracy of the measurement result of the drain current of the NMOS transistor is improved, and the reliability of device performance evaluation is guaranteed.

This invention provides a phase code digital low-pass filter circuit and a re-timer based on a PI-based architecture. The phase code digital low-pass filter circuit includes a first accumulation unit and a downsampling decimation module. The first accumulation unit accumulates the initial frequency control information generated by the clock data recovery module of the re-timer to generate a phase signal. The downsampling decimation module downsamples the phase signal to generate a filtered phase code. The filtered phase code is used to generate the transmit channel clock. This invention effectively solves the problems of high implementation cost, large footprint, and easy introduction of additional analog non-ideal factors in existing digital filtering solutions.

The invention provides an LSTM-Kalman filtering method and device for unmanned aerial vehicle magnetic compensation, and belongs to the technical field of aeromagnetic signal processing, and the method comprises the steps: obtaining a reference geomagnetic field vector in a zero interference environment, and synchronously collecting an unmanned aerial vehicle attitude angle, OBE motor rotation speed, phase current, power supply noise and magnetometer data; oBE represents airborne electrons; removing a static magnetic field according to a reference value to obtain an effective magnetic disturbance variable, performing low-pass filtering, performing dynamic normalization on all features by using a sliding window, and constructing a time sequence feature matrix; inputting the time sequence characteristic matrix into a trained LSTM neural network, and outputting a magnetic interference predicted value; and calculating a residual error between the measured value and the predicted interference value to obtain a predicted true value, carrying out Kalman filtering smooth estimation on the predicted true value, and outputting a compensated geomagnetic field vector. According to the invention, integrity compensation of global magnetic disturbance is realized.

The invention relates to the technical field of data calibration, and particularly discloses an attitude calibration method and system for a self-adaptive anti-shake handheld three-dimensional scanner, and the method comprises the steps: reading IMU initial data to initialize an attitude calculation algorithm and an initial gyroscope zero offset estimation value, carrying out the real-time compensation of the original angular velocity data of a gyroscope based on the current zero offset estimation value, and carrying out the calibration of the attitude of the self-adaptive anti-shake handheld three-dimensional scanner. Second attitude data is obtained by resolving accelerometer data; a final attitude is output through complementary filtering fusion; the quasi-static state of a scanner is analyzed and judged through IMU data variance; original data of a gyroscope is collected in the state to solve an average value; and the zero offset estimation value is updated through first-order low-pass filtering and is fed back to the compensation step. According to the method, hardware cost does not need to be increased, whole-process online self-calibration is achieved, attitude drift is reduced, the algorithm is efficiently adaptive to a low-cost processor, and long-time scanning precision and real-time performance are guaranteed.

The invention belongs to the technical field of ship electric propulsion, and particularly relates to a ship electric propulsion dual-mode control system with a multi-redundancy architecture, and the system comprises the steps: firstly, accurately obtaining the actual rotating speed and electromagnetic torque of a motor through a sensor group with redundancy configuration and two-out-of-three voting logic; secondly, calculating load disturbance intensity by utilizing time domain difference analysis, and calculating the deviation between the actual torque and the theoretical hydrodynamic torque in combination with a propeller characteristic coefficient, so as to generate a load anomaly index; generating a dynamic flexible factor with a damping characteristic based on the index by using a Sigmoid function and low-pass filtering logic; and finally, carrying out weighted fusion on output instructions of the rotating speed mode and the torque mode according to the factor. According to the method, normal acceleration and sea wave disturbance can be accurately distinguished, smooth seamless switching between a static water speed stabilization mode and a severe sea condition machine protection mode is achieved, and control oscillation and mechanical damage are effectively avoided.

The invention discloses a motion signal processing method and device of a metal resonator gyroscope. The method comprises the following steps: acquiring a capacitance change signal caused by vibration of a metal harmonic oscillator of the metal resonant gyroscope as a detection signal; the detection signal is demodulated through reference signals, a first component and a second component are obtained, and the reference signals are sine and cosine signals generated through the direct digital synthesis technology; performing low-pass filtering on the first component and the second component respectively, extracting a direct current component to obtain a first filtering signal, and performing dynamic suppression on a frequency component of a corresponding resonance interference frequency band in the first filtering signal by using an adaptive notch filter to obtain a second filtering signal; calculating the amplitude information of the detection signal based on the second filtering signal, and taking the amplitude information as the amplitude of the motion signal of the metal resonator gyroscope. According to the invention, the technical problem that the motion signal extraction precision of the metal resonator gyroscope is low is solved.

The invention relates to the technical field of general control or regulation systems, and discloses an AI-based thermal load prediction and multi-heat-source optimization scheduling system, which comprises a source characteristic storage unit, which is used for dividing heat source equipment into an inertial base load group and an agile regulation group according to a response time constant; the load trend prediction unit is used for calculating a thermal load change slope by adopting a time sequence prediction model; the control instruction generation unit is used for decoupling the total heat load demand by utilizing a low-pass filtering algorithm according to the change slope; the collaborative scheduling unit is used for establishing a frequency division mapping mechanism, mapping a low-frequency base quantity demand to an inertial base load group and mapping a high-frequency increment demand to an agile adjustment group; and the feedback correction unit is used for generating a correction compensation amount and only superposing the correction compensation amount to a control instruction for the agile adjustment group when the change rate of the total return water temperature of the heat supply network exceeds the limit, and adjustment oscillation caused by heat supply network lag is avoided through frequency division decoupling and a targeted feedback framework.

The invention relates to an audio decoding output stage circuit and audio equipment, the audio decoding output stage circuit comprises an I / V conversion module and a low-pass filtering module, and the I / V conversion module comprises a conversion circuit, a crossed diamond amplification circuit, an overcurrent protection circuit and a Roche network circuit; the conversion circuit comprises a JFET (Junction Field Effect Transistor) audio operational amplifier chip and an I / V (Input / Output) conversion resistor and is used for converting an input current into an analog voltage signal; the crossed diamond amplifying circuit can reduce the input offset voltage; the over-current protection circuit can carry out over-current protection; the rowbell network circuit can prevent high-frequency self-oscillation of the power output stage; and the low-pass filtering module comprises a filtering circuit and an ultrahigh frequency filtering circuit arranged at the output end of the audio decoding output stage circuit. The scheme can bring high-performance sound performance, and has the advantages of lower distortion, higher conversion rate, low output impedance and large pushing current.