121results about How to "Reduce oscillation" patented technology

The invention provides a servo hydraulic system optimization control method and system for a press machine test platform, and relates to the technical field of press machines, and the method comprises the steps: building a state space expression and building a mathematical model of a servo hydraulic system based on dynamic characteristics by deducing mathematical expressions of all components of the system; building a predictive control algorithm based on the mathematical model, solving a quadratic programming problem by adopting a rolling optimization strategy through building a state space predictive model and determining a multi-objective optimization function to obtain an optimal control sequence, and taking a first element of the optimal control sequence as control input at the current moment; feedforward compensation and pressure feedback compensation are introduced, the feedforward compensation constructs a compensation model based on an inverse system of a press transfer function and pre-corrects a control signal, and the pressure feedback compensation designs a digital filter based on a pressure error, fuses a feedforward compensation signal with a pressure feedback compensation signal and superposes the fused signal with the control signal; and obtaining a final control signal.

The invention discloses a three-phase permanent magnet synchronous motor full-speed-domain driving control system and a control method thereof. The system is composed of a torque limiting module, a full-speed-domain control neural network module, a current control module, a coordinate transformation module-I, a coordinate transformation module-II, a coordinate inverse transformation module, an SVPWM module, a SiC MOSFET driving module, a full-speed-domain position rotating speed observation module, a weak magnetic feedback module and a three-phase permanent magnet synchronous motor. The control method is used for driving the control system. According to the method, accurate tracing of the optimal dq-axis reference current working point is realized based on deep learning, and accurate control of three operation modes of MTPA, field weakening control and MTPV is realized; an improved mobile vision field estimation algorithm is adopted, and the rotor position and the rotor rotating speed are accurately estimated within the full-speed domain range; the SiC MOSFET is used as an inverter switching tube, and a brand new drive circuit is designed to adapt to the operation condition of the electric vehicle.

The invention relates to the technical field of model lightweight processing, and discloses a digital twin model lightweight processing method, and the method comprises the steps: obtaining a digital twin model, constructing a multi-dimensional twin model parameter importance evaluation objective function, and evaluating the digital twin model parameters obtained through training solving; carrying out lightweight processing on the digital twinborn model parameters based on an importance evaluation result to obtain a lightweight digital twinborn model; and carrying out fine tuning on the lightweight digital twinborn model to obtain the lightweight digital twinborn model after fine tuning. Gradient evaluation and channel gain evaluation are carried out according to the gradient of the digital twin model parameters in the training process and the final training result, the digital twin model parameters with high contribution degree to the output result are selected, redundant parameters are filtered, lightweight processing of the digital twin model is achieved, and the training efficiency is improved. And performing fine tuning processing to retain the performance of the original model to obtain the digital twinborn model which reduces the consumption of computing resources and the storage cost.

The invention relates to the technical field of machining production lines, and provides a compensation control method, device and equipment for a machining production line, a medium and a product. The method comprises the steps that the current workpiece size of the machining production line in the current control period is obtained; determining a deviation value with the target workpiece size according to the current workpiece size; determining a compensation value according to the deviation value, wherein the compensation value is used for adjusting machining parameters of the machining production line in the next control period; and determining the next control period of the machining production line according to the deviation value and the compensation value. Through the mode, the size of a workpiece output by a machining production line can be measured, and a compensation value is dynamically adjusted according to a measurement result, so that online measurement and compensation of errors are realized; in addition, the compensation control period can be adjusted in a self-adaptive mode according to the compensation value, and therefore high-precision machining production line control is achieved.

A perturbation and observation method combining particle swarm optimization and an adaptive step length adjustment coefficient changes output power by applying perturbation to voltage in each working period of a photovoltaic cell so as to realize power optimization. By introducing a self-adaptive step length adjustment coefficient, dynamic adjustment of the step length of the perturbation and observation method is realized, and illumination changes and system dynamic responses under different working conditions are coped with. Therefore, the tracking speed and stability are improved. A fixed step length is multiplied by a step length adjustment coefficient, the step length adjustment coefficient is calculated and determined by an absolute value of a derivative of a power increment to a voltage increment and a specific value obtained by dividing a square value of a current current value by a square value plus 1, an upper limit and a lower limit are determined, and the adjustment coefficient is subjected to partition setting. And the optimal voltage value is searched in the solution space in combination with the particle swarm optimization algorithm, power tracking secondary optimization is carried out, the perturbation and observation method has higher maximum power point tracking speed and higher tracking precision, and the stable maximum power point can be converged more quickly.

The invention belongs to the related technical field of bionic flapping-wing robots, and discloses a water-air amphibious bionic flapping-wing robot with chordwise bimodal flapping wings, which comprises a main body, the chordwise bimodal flapping wings, an empennage, a cross-medium mechanism, a control unit and a flexible skin, the main machine body is a main supporting component of the robot, and the chordwise bimodal flapping wings are installed on the left side and the right side of the main machine body and oscillate up and down in a reciprocating mode to drive the flexible skin covering the chordwise bimodal flapping wings to generate power. The empennage is fixed to the rear end of the main fuselage to assist the robot in posture adjustment. The cross-medium mechanism is installed at the front end of the main machine body and used for providing impulsive force for cross-medium movement of the robot. And the control unit is connected with each component through a signal line. The bionic flapping-wing robot has an overwater motion mode and an underwater motion mode in the chordwise direction of the flapping wing, the overwater motion mode is beneficial to generation of lift force in the air, the underwater motion mode is beneficial to reduction of power consumption in water and concentration of power in the thrust direction, and the use environment and scene of the bionic flapping-wing robot are expanded.

The invention belongs to the field of grid-connected converter control methods, and discloses a torque quantization-based low-frequency oscillation suppression method for a direct-current voltage synchronous inverter, which constructs a grid-connected damping torque model of the inverter, quantifies a damping torque and a synchronous torque of a system and describes oscillation characteristics of the system. When oscillation is unstable and damping or synchronous torque is a negative value, the provided compensation torque stabilizer is introduced through angular frequency deviation, a lag phase of the system at the oscillation frequency is compensated by using a lead-lag corrector, and then the compensation torque stabilizer is fed back to an active power reference value. By designing the compensation torque, it is ensured that the synchronous torque and the damping torque of the system are positive values all the time, and oscillation instability is effectively restrained. The method is suitable for a small-disturbance working condition, the steady-state characteristic of inverter operation is not changed, the grid-connected stability of the grid-forming type photovoltaic inverter is improved, and meanwhile scheduling optimization and energy efficiency evaluation of the system are not affected.

The invention discloses a disc type permanent magnet motor control method and system with adaptive dead zone compensation, and the method comprises the steps: constructing a state equation, a state estimation equation and a state-space equation of a permanent magnet synchronous motor through the structure of a Luenberger observer, constructing an observable matrix through an output matrix and a system matrix, and verifying the output of an observable system; establishing a characteristic equation to enable the designed observer to be finally converged, reducing an error between an estimated value of the disturbance observer and an actual value of the system, and realizing digital control of an actual servo platform through a discrete observable matrix; a phase-A bridge arm of an inverter is analyzed, three-phase current is subjected to Fourier decomposition, and stator harmonic components are analyzed to obtain three-phase harmonic current of the motor; an adaptive filter is designed based on an NLMS algorithm, and an online dead-zone compensation strategy is improved for a dead-zone effect. According to the method, by introducing the Luenberger disturbance observer, real-time measurement and adjustment of a nonlinear system can be realized, so that the performance index of the system is effectively improved.

The utility model discloses a low fluctuation power supply parallel operation equipment, including n power supply modules and load connection terminal, each power supply module includes user input, power conversion, acquisition, CAN communication module and MCU module, the power supply interface of each power supply module is connected with the load connection terminal through a flexible wire, and the power supply modules are in communication connection through a CAN bus. One of the n power supply modules is set as a host, the other power supply modules are set as slaves, and each power supply module adjusts output voltage to enable the voltage to be equal to Vset and collects real-time current data; the slave computer transmits data to the host computer, the host computer receives the data, calculates a current sharing reference and sends the current sharing reference to the slave computer through a bus, and each power supply module calculates and obtains a new voltage stabilization value Vnew according to the current sharing reference and a set Vset. Compared with the prior art, the utility model has the advantages of reducing system oscillation, improving voltage stability and reducing equipment cost.

The invention provides an RTDS simulation-based DC booster control method and system for new energy grid connection, and relates to the technical field of new energy grid connection control, and the method comprises the steps: building an RTDS-based DC booster control simulation model for new energy grid connection; operating the control simulation model; acquiring voltage and current data of a low-voltage side and voltage and current data of a high-voltage side of the direct-current booster; obtaining output data of new energy direct current grid connection; based on the voltage and current data of the low-voltage side and the high-voltage side of the direct-current booster, an abnormal analysis value of the direct-current booster is obtained through an abnormal analysis method of the direct-current booster; based on the voltage and current data of the high-voltage side and the output data of the new energy direct current grid connection, an output anomaly analysis value is obtained through an output anomaly analysis method; and controlling the direct current booster through a neural network PID control algorithm according to the abnormal analysis value and the output abnormal analysis value of the direct current booster. According to the invention, the regulation and control accuracy of the DC booster for new energy grid connection is improved.

The invention relates to a super-junction semiconductor device, and relates to the technical field of semiconductors, and the device comprises a semiconductor material layer which comprises an upper surface and a lower surface which are opposite to each other; the super junction structure is located in the semiconductor material layer and comprises a plurality of first conductive type columns and second conductive type columns which are alternately arranged; the first conductive type well region is located in the semiconductor material layer and located at the top end of the first conductive type column, and the first conductive type well region comprises a first type well region and a second type well region; a gate electrode on the upper surface; the first conductive plug penetrates through the grid electrode and is conductively connected with the first type of well region; the second conductive plug is positioned on the grid electrode and is conductively connected with the grid electrode; the upper part of the second-type well region is covered by a grid electrode, and the second-type well region is insulated and isolated from the first conductive plug and the second conductive plug; the second type of well region extends from the core region to the terminal region, and the second type of well region and the first type of well region are vertically arranged in the core region and the terminal region. Therefore, the anti-electromagnetic interference capability of the device is enhanced.

The invention relates to the technical field of aerospace, and discloses a micro-nano satellite attitude control method based on deterministic strategy gradient and PID, and the method comprises the following steps: obtaining the pitching theta, the rolling psi and the yaw angle # imgabs0 # of a satellite through a sensitive sensor; the required control moment is converted into the attitude angle speed # imgabs 1 #, the angles theta t and psi t of the satellite in the current state are obtained according to an attitude kinematics model, and the satellite attitude quaternion error qe is determined according to the difference of the satellite attitude angles determined by a sensitive sensor through # imgabs 2 #. According to the micro-nano satellite attitude control method based on the deterministic strategy gradient and the PID, a better control strategy can be learned by adopting a deterministic strategy gradient algorithm, and by combining the deterministic strategy gradient algorithm with the traditional PID, more accurate adjustment can be carried out for the complex attitude change of the micro-nano satellite, and attitude deviation is reduced.

The invention discloses a wireless power transmission secondary side voltage stability control method based on butterfly optimization. The method comprises the following steps: initializing a butterfly population and a position thereof; calculating the fitness value of each butterfly; updating the position of the butterfly according to the fitness value, and searching an optimal control parameter by updating the position of the butterfly; iteratively solving, continuously updating the position, and outputting an optimal solution when a termination condition is met; the optimized PID controller is used for controlling the secondary side voltage, so that the dynamic response time of the system can be reduced, and the secondary side voltage can reach a stable state more quickly; the system overshoot can be reduced, the control of the secondary side voltage is smoother, and the voltage fluctuation is reduced; the device for the wireless power transmission system comprises a processor and a memory connected with the processor; the response speed is high, the steady-state error is smaller, the system stability is higher, and the application prospect is wide; the stable output of the transmission system can be kept under different load change conditions, and the performance and efficiency of the wireless power transmission system are improved.

According to the vector power synchronization control method without the phase-locked loop, self-synchronization with a power grid is achieved through power synchronization control, and active and reactive decoupling and conjugate pole elimination are achieved through a cross decoupling control structure controlled by vector current; in an adopted vector power synchronous controller, an open-loop control part is used for keeping the stability of a system and tracking a reference signal, and a closed-loop control part is used for eliminating the influence of small signal disturbance in the open-loop control part.

The invention relates to the technical field of wind power generation, and discloses an optimal configuration method, device and equipment of a multi-network-construction converter and a medium. The method comprises the following steps: constructing a mathematical model of an interconnection system according to a power coupling effect among a plurality of network construction type converters in the interconnection system formed by the plurality of network construction type converters; according to the mathematical model of the interconnection system, constructing a network model of the interconnection system, wherein the network model is used for describing the energy interaction process of the plurality of network construction type converters during power coupling; according to the dissipated energy and the interactive energy of each network-forming converter, obtaining an interactive energy coefficient for reflecting whether the stored energy of each network-forming converter in the interconnection system is dissipated or accumulated; the optimal configuration of the plurality of network-building type converters is determined according to different configuration schemes of the plurality of network-building type converters in different installation positions of the network-building type converters in the interconnection system and / or different control parameters adopted by the network-building type converters by acquiring interaction energy coefficients corresponding to the different configuration schemes.

The invention discloses a multi-phase power supply and a control circuit and a control method thereof. The multi-phase power supply includes a multi-phase power conversion circuit. The control circuit comprises a phase enabling module which is used for generating a plurality of phase enabling signals according to a plurality of PWM signals and a plurality of zero-cross detection signals; and the first logic module is used for generating a plurality of switch control signals of the multi-phase power conversion circuit according to the plurality of PWM signals and the plurality of phase enable signals, and when the selected phase power conversion circuit is subjected to phase reduction, the phase enable module outputs the switch control signals after the phase current of the selected phase power conversion circuit passes zero. The selected phase enable signal is flipped from an active state to an inactive state, thereby delaying turn-off of the selected phase power conversion circuit. According to the multi-phase power supply control circuit, the turn-off time of the selected phase power conversion circuit is delayed to the zero-crossing time of the phase current during phase reduction, so that inductive current oscillation during phase reduction can be effectively reduced, and the output stability of a system during phase number change is improved.

The invention discloses a rotating speed control method of a permanent magnet synchronous motor. The method comprises the following steps: firstly, designing an adaptive switching expansion state observer of the permanent magnet synchronous motor, and adding the adaptive switching expansion state observer into a rotating speed loop control process; and then inputting the rotating speed of the permanent magnet synchronous motor and a q-axis current reference value output by a rotating speed ring into an extended state observer, performing adaptive parameter switching control at the same time, and outputting the rotating speed and an observed value of lumped disturbance after processing so as to continue to perform rotating speed ring control and realize rotating speed control of the permanent magnet synchronous motor. The method can improve the dynamic and steady state performance of the permanent magnet synchronous motor under inertia mismatch, weaken the overshoot of the motor in the dynamic process, greatly accelerate the response speed, reduce the rotation speed fluctuation and oscillation in the adjustment process, reduce the dependence of the parameter design of a motor control system on the rotational inertia parameter, and improve the stability of the motor control system. And meanwhile, the estimation capability of rapid change lumped disturbance is enhanced, and more complex lumped disturbance types can be dealt with.

The application discloses a vehicle control method and device on a transverse slope road, equipment and medium, relates to the field of advanced driving assistance, and comprises the following steps: acquiring the vehicle speed, yaw angular velocity and first lateral acceleration of a vehicle, determining the second lateral acceleration based on the vehicle speed and yaw angular velocity; high-order filtering the first lateral acceleration and the second lateral acceleration respectively; determining the target acceleration based on the filtered first lateral acceleration and the filtered second lateral acceleration, and high-order filtering the target acceleration; determining the transverse slope compensation torque through the filtered target acceleration and a torque compensation coefficient, so as to control the vehicle. The vehicle speed, yaw angular velocity and first lateral acceleration and other information in the application are information that can be acquired in a low-cost manner, therefore, the application reduces the calculation cost of the transverse slope compensation torque, and through high-order filtering of the lateral acceleration and the target acceleration, the application improves the smoothness of the vehicle in a curve and reduces oscillation.

The invention relates to the technical field of power system protection, and discloses a condensed state function resistor NGR-based power grid safety and stability protection device and method, and the device comprises a three-phase bus A, a bus B and a bus C. The bus A, the bus B and the bus C are respectively provided with a circuit breaker DL, and the two ends of the fracture of each circuit breaker DL are respectively connected with a first condensed state function resistor NGR in parallel. And the bus A, the bus B and the bus C are connected with a second condensed state functional resistor NGR and a first ampere meter in a star connection hanging manner. According to the power grid safety and stability protection device and method based on the condensed state function resistor NGR, short-circuit current and overvoltage in a power grid are suppressed through various functional characteristics of the condensed state function resistor NGR, electromagnetic resonance and system oscillation in the power grid are reduced, and operation of the power grid is stabilized; the first ampere meter and the second ampere meter are used for detecting each path of current in real time, so that the timely finding and processing capability of power grid faults can be improved.

The application provides a cooling tower constant pressure PID adaptive control method and system based on process monitoring, and relates to the technical field of PID control.The method comprises the following steps: decoupling a working condition characteristic index group and a deviation feedback index group; constructing an operating condition vector and matching an initial operating scene group; calling a historical state transition chain, performing scene membership probability correction based on scene state transition prediction, and outputting a real-time operating scene; performing disturbance-free smooth coarse adjustment of the cooling tower constant pressure control; executing fine-grained PID fine adjustment of the cooling tower constant pressure; and performing scene switching analysis under incremental monitoring until the operating scene is changed, triggering fine-grained PID fine adjustment under disturbance-free smooth coarse adjustment. The application solves the technical problem that the prior art usually performs control parameter setting based on single or low-dimensional characteristics, cannot accurately identify the current operating condition category, and thus leads to PID parameter update lag and difficulty in timely matching the actual system dynamic characteristics when the operating condition rapidly changes.

This invention discloses a method and system for detecting and correcting mismatches in time slices and processor frequencies between task groups, relating to the field of automatic control and regulation of computer system resources, specifically a collaborative closed-loop correction method for operating system scheduling and processor frequency control. The method identifies a target task group and a control task group, statistically analyzes the average effective time slices and average effective frequencies of the two task groups within an observation window, constructs time slice differences and frequency differences, and calculates a mismatch index based on the service quality deviation of the target task group to determine the mismatch mode. Correction actions are generated for different modes, performing time slice parameter compensation on the target task group and / or applying frequency constraint compensation to its running processor. Stability is ensured through upper bounds on amplitude, trigger frequency limits, hysteresis / cooling, and abnormal backoff, thereby reducing long-tail latency, frame drop risk, and unnecessary power consumption under mixed loads.

The application discloses a high-precision oscilloscope probe delay correction platform, and relates to the field of power electronic device testing. In the oscilloscope probe delay correction platform, a high-speed pulse generation module is used to output a control signal, and a driving module is used to amplify the control signal to generate a corresponding driving signal to drive a transistor, so that a voltage pulse signal is generated on a power resistor in series with the main current path of the transistor and is output through a parallel voltage probe interface, and a current pulse signal is generated and is output through a series current probe interface. The platform can realize delay correction of a high-voltage and high-current probe range, is favorable for reducing the minimum distinguishable time lag, improving the delay correction precision, reducing the oscillation in the rising and falling processes, and can also be used for delay correction of a high-voltage and high-current probe range in addition to a low-voltage and low-current probe, so that more extensive range adaptation is realized.

The invention belongs to the technical field of nanometer measurement and control, provides a multi-mode cooperative force control method for contact mode scanning of an atomic force microscope, and aims to extract contact state information in real time by carrying out drift and aberration compensation on a measurement signal so as to realize multi-mode cooperative force control. Combined self-adaptive setting of control parameters is carried out in combination with sample morphology characteristics and error signal statistical characteristics, and undisturbed switching between a steady state controller and a transient state controller is realized, so that stable, rapid and low-noise force tracking control is realized in samples with different rigidities and changing noise environments. And the stability and the imaging quality of AFM contact mode scanning are obviously improved. According to the invention, adaptive force control on samples with different rigidities and complex shapes is realized, and the scanning stability and imaging quality of the contact mode atomic force microscope are remarkably improved.

The invention relates to the field of thermal management control response systems, in particular to a supervised multi-element embedding control method and system.The method comprises the steps that self-inspection is conducted before a control response system is started; entering an internal adjusting process; the control response system transmits part of parameters to the discrete learning control unit and establishes a discrete parameter control model; establishing a prediction model equation according to the diagnosed control parameters, wherein the prediction model equation supervises, corrects and learns source data of the control response system; and establishing a mathematical model of a system stability module, and evaluating the state level of the system. According to the invention, the PID controller is not directly optimized, the control parameters and the system state parameters are normalized and discretized, and then a discrete parameter learning control module is designed, so that the stability of the system can be considered while the target parameters are controlled. Not only can the PID controller be directly applied, but also self-defined logic can be inserted into the system to participate in control.

The utility model provides a smelting furnace slag transfer trolley, and belongs to the technical field of smelting furnace slag transfer. The smelting furnace slag transfer trolley comprises a trolley frame, wheels arranged on the two sides of the trolley frame and a transfer furnace placed on the trolley frame, a sinking groove used for containing the transfer furnace is formed in the part, located between the wheels on the two sides, of the trolley frame in a sinking mode, and surrounding plates are arranged on the four sides of the sinking groove. A supporting lug is fixedly arranged on the side, corresponding to the width direction of the vehicle frame, of the transfer furnace, pin shafts are fixedly arranged on the two sides, corresponding to the length direction of the vehicle frame, of the transfer furnace, dumping oil cylinders are arranged between the pin shafts and the vehicle frame, and the top of the transfer furnace is covered with two opposite-opening furnace covers. The outer side of the split furnace cover is connected with a furnace cover supporting arm, and a cover opening oil cylinder is arranged between the furnace cover supporting arm and the frame. The slag transfer furnace has the advantages of being high in stability and high in transfer safety during slag transfer.

The present application relates to the field of polishing machine control technology, and specifically to a polishing machine control method and system for new energy workshops, the method comprising: obtaining the pressure, temperature, rotation speed and feed speed of the polishing machine at each moment during the polishing process, and the surface roughness and thickness of the abrasive at each moment, as well as the hardness, elastic modulus, crystal size and thermal expansion coefficient of the abrasive; determining the pressure influence and material influence at each moment, and determining the force deformation coefficient at each moment; determining the temperature influence and thermal deformation coefficient at each moment; determining the abrasive deformation at each moment; determining the switching gain of the sliding mode control algorithm at each moment; defining the sliding mode surface switching function, and controlling the rotation speed and feed speed of the polishing machine in real time through the sliding mode control algorithm. The present application adjusts the switching gain in real time to avoid oscillation in the process of switching the control parameters of the polishing machine by the control system, resulting in under-polishing or over-polishing of the abrasive surface, thereby improving the polishing quality of the abrasive.

The present application relates to the technical field of intelligent control of industrial robots, in particular to a constant force polishing dynamic parameter self-tuning method. The method comprises the following steps: 1) when the robot moves along a predetermined trajectory, real-time acquisition of multi-modal sensing data and extraction of data features; 2) taking the extracted multi-modal feature vector as input, predicting the bottom robot force controller parameters through a pre-trained deep learning model; 3) the robot force controller uses the new parameters and contact force feedback signals, generates joint torque instructions through impedance control algorithm, and drives the industrial robot to perform polishing work. Through visual foresight, the system can predict the working condition change in advance and adjust the parameters in advance, greatly reducing the force overshoot and oscillation, and realizing smooth transition.

The application discloses a GNSS / INS robust factor graph optimization method, system, device and medium, and belongs to the technical field of integrated navigation positioning. The method comprises the following steps: acquiring an IMU measurement sequence and a GNSS position observation sequence, and constructing a GNSS / INS factor graph model in a sliding window; in the current window, first-stage robust optimization is performed by using fixed GNSS covariance and a Huber robust kernel function, intermediate state estimation is obtained, normalized residual energy of GNSS position residuals in the north, east and sky directions is calculated, a direction-level quality state machine and state-aware smoothing confidence are updated; a direction-level standard deviation scaling factor is generated according to the state-aware smoothing confidence, and a direction-level GNSS adaptive covariance is reconstructed; the GNSS position factor weight model is replaced in the same window, second-stage adaptive re-optimization is performed, and final state estimation is output. The application can dynamically adjust the observation weights in each direction, suppress abnormal influences and retain reliable information, and improve the positioning accuracy and robustness of integrated navigation in a complex environment.

The invention discloses an intelligent punching system and method for a rolled film. The intelligent punching system comprises a rolling assembly, a data acquisition module, an image recognition assembly, a control module, a punching assembly and a rolling assembly. The data acquisition module and the image recognition assembly are connected with the control module through a data bus, and the control module is connected with the rolling assembly, the punching assembly and the rolling assembly through control channels. The material rolling assembly is used for transmitting a to-be-punched rolled film to a machining area, the data acquisition module is used for detecting position information of the film and synchronously transmitting the position information to the control module, the image recognition assembly is used for recognizing the film hole site, and the punching assembly is used for receiving a control signal of the control module and executing punching operation on a positioned film material. And the winding assembly is used for winding the punched film. The whole structure is simple, the problem that a traditional machine is insufficient in positioning precision is solved, and the punching precision is greatly improved.

This invention relates to an energy-saving and efficient combustion control method and system for industrial furnaces, belonging to the field of industrial furnace automatic control technology. The method includes: acquiring the industrial furnace zone number; obtaining the corresponding target temperature and current temperature based on the industrial furnace zone number; calculating the temperature difference based on the target temperature and current temperature; when the temperature difference is less than a preset temperature difference threshold, finding the corresponding PID parameter based on the industrial furnace zone number; calculating a first required fuel amount based on the temperature difference and the PID parameter; controlling the zone corresponding to the industrial furnace zone number to add fuel according to the first required fuel amount; when the temperature difference is greater than the preset temperature difference threshold, finding a proportionality coefficient based on the industrial furnace zone number; calculating a second required fuel amount based on the temperature difference and the proportionality coefficient; and controlling the zone corresponding to the industrial furnace zone number to add fuel according to the second required fuel amount. This invention effectively reduces energy waste in industrial furnaces.