Automatic quality-supplementing correction method and system for fan unbalance

Abstract

The invention discloses an automatic quality-supplementing correction method and system for the unbalance amount of a fan, and the method comprises the following steps: collecting geometric parameters and material characteristics in a static state of the fan, and constructing a mechanical distribution model of the fan; the method comprises the following steps: collecting vibration signals and airflow characteristics in real time in a dynamic operation state, calculating the amount of unbalance in operation and decomposing the amount of unbalance into a primary component and a secondary component; on the basis of the unbalance prediction trend, determining a quality supplementing range, carrying out multi-point quality supplementing operation through a dispensing technology, and monitoring a quality supplementing effect by using an optical fiber sensor; and if the residual unbalance amount after quality supplementation still exceeds the standard, real-time compensation adjustment is carried out through the electromagnetic torque regulation and control module. Full-process automatic correction from static state to dynamic state and from quality supplement to fine adjustment is achieved, the method has the advantages of being real-time, accurate and intelligent, vibration and noise in the fan operation process can be effectively reduced, the operation stability of equipment is improved, and the service life of the equipment is prolonged.

Description

Technical Field

[0001] The present invention relates to the technical field of dynamic balance correction, and in particular to an automatic quality correction method and system for fan imbalance. Background Art

[0002] With the widespread application of fans in industrial ventilation equipment, household appliances, and aviation turbomachinery, their operating stability and long-term reliability have received increasing attention. The imbalance generated during fan operation is the main cause of vibration, noise, reduced energy efficiency, and equipment wear. The sources of imbalance usually include geometric errors in the rotor manufacturing process, uneven material distribution, and dynamic imbalance generated during long-term operation. This imbalance will not only have a negative impact on the performance of the equipment, but may also increase the risk of failure during operation. Therefore, how to efficiently and accurately correct the imbalance of the fan has become an important research topic in modern dynamic balancing technology.

[0003] In the prior art, correction methods for fan imbalance are generally divided into two categories: static correction and dynamic correction. The static correction method mainly adjusts the mass distribution of the rotor by means of mechanical processing, weighting, and weight reduction during the rotor manufacturing stage to reduce the initial imbalance. However, this correction method cannot solve the dynamic imbalance problem caused by external forces, material aging, or temperature changes during the actual operation of the equipment, and its application scenarios and effects have great limitations. The dynamic correction technology collects vibration signals or imbalance in real time, and combines a correction device to compensate for the quality deviation during fan operation. However, the existing dynamic correction technology still has significant deficiencies in real-time, accuracy, and intelligence.

[0004] The existing dynamic correction methods are relatively lacking in real-time performance. Usually, the equipment needs to suspend operation to complete the detection and correction of the imbalance. This step-by-step processing method leads to discontinuity in the operation of the equipment and is not suitable for dynamic balancing scenarios with high real-time requirements. For the imbalance generated by the fan in actual operation, traditional technology is difficult to correct while running, which is inefficient; the accuracy of dynamic correction is also difficult to meet the needs of high-performance equipment. Existing technologies often estimate the imbalance based on static data, and fail to fully consider the airflow disturbance, vibration signal and its coupling effect during the operation of the fan. This makes it difficult to completely eliminate the dynamic imbalance after correction, especially under complex operating conditions, the correction accuracy is further reduced.

[0005] The existing dynamic correction technology has a low level of intelligence and relies heavily on manual operation. For example, the judgment of the imbalance, the formulation of the correction strategy and the adjustment of the correction parameters are usually completed by the operator, which not only increases the complexity of the correction process, but is also easily affected by human errors. At the same time, it lacks data-driven historical correction optimization capabilities and cannot dynamically adjust the correction strategy according to changes in the equipment's operating status, further limiting the adaptability and stability of the technology. After the quality replenishment operation is completed, the existing technology lacks effective means to deal with the residual imbalance. When the quality replenishment effect does not meet expectations, it is usually necessary to re-execute the complete correction process, and efficient real-time fine-tuning compensation cannot be achieved.

[0006] Therefore, how to provide a method and system for automatically correcting fan imbalance is an urgent problem to be solved by those skilled in the art. Summary of the invention

[0007] One purpose of the present invention is to propose a method and system for automatic quality correction of fan imbalance. The present invention fully combines multimodal data acquisition technology, real-time signal processing algorithm, flexible micro-nano dispensing technology and electromagnetic torque dynamic control method, and describes in detail the complete correction process from static modeling to dynamic quality correction and fine-tuning compensation. It has the advantages of strong real-time performance, high correction accuracy and high degree of intelligence.

[0008] According to an embodiment of the present invention, a method and system for automatically correcting fan imbalance includes the following steps: S1. When the fan is stationary, the built-in multimodal sensing module is used to collect geometric parameters and material properties of the fan rotor to generate a multidimensional mechanical distribution model. The multimodal sensing module transmits the geometric parameters and material properties to the calculation module in a three-dimensional coordinate data format through a built-in data processing unit to generate a mass distribution function. S2. Put the fan into a dynamic operation state, collect multimodal signals including vibration signals, rotation trajectories and airflow disturbance characteristics in real time through an embedded inertial measurement unit and an airflow disturbance sensor, and calculate the real-time operation imbalance of the fan by combining a multidimensional mechanical distribution model of a static state; S3. Based on the real-time unbalanced quantity, an unbalanced response matrix is ​​constructed. The unbalanced quantity is decomposed into a primary component and a secondary component, and the dynamic trend of the rotor mass deviation as the working condition changes is predicted in combination with the dynamic working condition. S4. According to the unbalanced response matrix, the restricted areas in the fan structure are automatically identified, including reinforcing ribs, weak parts or areas with large airflow resistance, and the quality replenishment range is divided within the allowed area so that the quality replenishment operation will not affect the structural strength and aerodynamic performance of the fan; S5. Use flexible micro-nano dispensing technology to perform multi-point filling operations within the filling range, quickly solidify the colloid through non-contact UV excitation, and use optical fiber weight sensors to monitor and adjust the filling quality in real time to match the requirements of the unbalanced response matrix. The dispensing device has interference avoidance function, can sense obstacles and running parts in the environment, and flexibly select the filling position through dynamic path adjustment, while recording the filling position and mass distribution; S6. After completing the preliminary correction, collect the multi-modal signals in the running state for the second time, detect the residual imbalance after correction, optimize the quality supplement effect through fluid-mechanical coupling analysis, and correct the quality supplement deviation caused by operation; S7. If the residual unbalance exceeds the set threshold, the electromagnetic torque control module is started to perform real-time fine-tuning compensation. The module adjusts the rotor operation state by generating dynamic electromagnetic torque until dynamic balance is achieved; S8. After the calibration is completed, the key data of the calibration process, including the position of the quality supplement, the quality of the quality supplement, the imbalance before and after the calibration, the vibration parameters and the operating conditions are recorded to the host computer, and the dynamic balance model is updated in combination with the historical data. The dynamic balance model is used to predict the imbalance trend in the future operation and automatically trigger the re-calibration operation.

[0009] Optionally, the S1 specifically includes: S11, using a built-in multi-modal sensor module to collect geometric parameters of the fan rotor, wherein the geometric parameters include external contour dimensions, thickness distribution, and radius variation of a cross section, and the collection is achieved through three-dimensional scanning technology and laser measurement equipment; S12, collecting material properties of the fan rotor, wherein the material properties include material density distribution, elastic modulus and uniformity properties, and are obtained by density analysis equipment and material testing equipment; S13. Based on the collected geometric parameters and material properties, the mass distribution function of the fan rotor is calculated: ; in, represents the mass distribution of the rotor in three-dimensional space, represents the density distribution of the material, Indicates the volume of the corresponding volume unit; S14, calculate the total mass and center of gravity position of the fan rotor, where the center of gravity position includes , , Coordinates in three directions, representing the equilibrium point of the rotor mass distribution; S15, combining the mass distribution function, the center of gravity position and the initial mass deviation to generate a multi-dimensional mechanical distribution model of the fan.

[0010] Optionally, the S2 specifically includes: S21, collecting three-dimensional vibration signals during the operation of the fan through an embedded inertial measurement unit, wherein the inertial measurement unit has The accelerometer range is , the sampling frequency is not less than The collected vibration signals include Acceleration components in three directions , , ; S22, using an airflow disturbance sensor to synchronously collect airflow characteristics when the fan is running, wherein the airflow disturbance sensor has a velocity field measurement range of , the pressure field measurement range is The airflow characteristics collected include airflow velocity field and pressure field Distribution of S23, perform signal processing on the collected three-dimensional vibration signal, use Fourier transform to convert the vibration signal from time domain to frequency domain, and extract the main vibration frequency component of the fan operation and analyze transient vibration characteristics by wavelet transform; S24, combined with the processing results of Fourier transform and wavelet transform, and the characteristics of airflow disturbance and pressure field Together, a vibration response model of the fan under dynamic operation is established, where the vibration response function It is expressed as: ; in, is the total vibration amplitude, , , are the three-dimensional acceleration components; S25, based on vibration response function and airflow disturbance characteristics , , combined with the multi-dimensional mechanical distribution model generated in the static state, the real-time imbalance of the fan during operation is calculated through the functional relationship between the vibration response function and the airflow disturbance characteristics. : ; S26. Calculate the distribution characteristics of the real-time unbalance, including the phase angle of the unbalance and amplitude : ; ; in, It indicates the phase angle of the operating imbalance relative to the rotating axis. Indicates the real-time amplitude of the unbalance; S27, the distribution characteristics of the real-time unbalance quantity, including the phase angle , Amplitude and time-related characteristics are stored as dynamic unbalance characteristic data.

[0011] Optionally, the S3 specifically includes: S31, the vibration response function collected in real time and real-time imbalance As input data, construct the unbalanced response matrix , the unbalance response matrix is ​​based on the distribution characteristics of vibration amplitude, phase angle and real-time unbalance quantity: ; in, is the response change rate; S32, based on the unbalanced response matrix , the principal component analysis algorithm is used to decompose it into principal components and secondary components, where the principal component matrix describes the main mass deviation and phase characteristics, and the secondary component matrix represents the transient residual characteristics of complex vibrations; S33. Combine the dynamic distribution characteristics of the main component and the secondary component to calculate the trend function of the fan rotor's imbalance under different rotation conditions over time. : ; in, As the main component, For secondary weight; S34. Combined trend function , predict the mass deviation distribution of the fan rotor at a specific time point in the future through dynamic time series analysis method ; S35, distributing the predicted quality deviation and the unbalanced response matrix combining, generating a dynamic response model, the model including the distribution of imbalance components at future time points; S36. The dynamic response model is stored as dynamic unbalance characteristic data, and is used as an input basis for quality correction and optimization correction strategies to optimize the dynamic adaptability and accuracy of the fan under operating conditions.

[0012] Optionally, the S4 specifically includes: S41, based on the generated unbalanced response matrix and trend function , calculate the required amount of mass for the fan rotor : ; in, is the complementary ratio factor, and are the imbalance of the main component and the secondary component respectively; S42. Using the dynamic identification algorithm based on topology optimization and the mechanical model of the fan operation, the quality restriction area is automatically identified through iterative optimization. The optimization goal is to minimize the structural stress while satisfying the mechanical performance constraints: ; in, represents the stress distribution of the fan rotor in three-dimensional space, Indicates the volume of the structure; S43, after generating the preliminary restricted area through topology optimization, combining with the adaptive optimization algorithm, taking the dynamic response data of the fan as input, continuously updating the boundary of the quality-replenishing restricted area, including the reinforcement ribs, weak parts and areas with significant airflow disturbance; S44. Based on the detected restricted area, the influence of the mass replenishment operation on the mechanical characteristics and aerodynamic performance of the fan is simulated by using a finite element analysis tool, and the permissible mass replenishment range is divided so that the mass replenishment operation will not affect the structural strength and aerodynamic efficiency of the fan; S45. Optimize the replenishment position based on the allowable replenishment range and the real-time calculated imbalance distribution And the distribution of tonic: ; in, It is the spatial scope of the tonic effect; S46, generating a fan quality supplement distribution model based on the optimization results, the model including quality supplement position, quality supplement and dynamic distribution characteristics of the complementary quality range.

[0013] Optionally, the S5 specifically includes: S51, based on the generated replenishment distribution model, dynamically determine the dispensing path and operation parameters within the replenishment range, the parameters include the replenishment position , improve quality and dispensing distribution characteristics to meet the unbalanced response matrix and real-time correction requirements; S52, using flexible micro-nano dispensing technology to perform a quality replenishment operation on the dispensing path, the dispensing device is driven by a servo motor and has interference avoidance capability, and the position of the interference source is detected in real time through the sensor module, including the running track of the rotating parts and external obstacles, and the dispensing path is dynamically optimized in combination with the path adjustment algorithm, so that the quality replenishment operation avoids the interference area; S53, in the dispensing process, real-time non-contact Stimulate the quick curing of glue dispensed. The curing equipment dynamically adjusts the light intensity, irradiation angle and irradiation time to adapt to the colloid thickness and ambient temperature, so that the curing effect meets the calibration requirements; S54, real-time monitoring of the quality of the repair through the optical fiber weight sensor , and the theoretical demand and theoretical mass distribution For comparison, if , then the closed-loop feedback control system is triggered; S55, combining real-time monitoring data and replenishment distribution model, dynamically optimize dispensing path, colloid flow and Excitation parameters, the adjusted operating parameters are used for quality supplementation and re-execution, so that the quality supplementation distribution meets the correction requirements of the unbalanced response matrix; S56: After the quality supplement is completed, the quality distribution after the quality supplement is calculated based on the real-time monitoring data and residual unbalance ,like Exceeding the preset threshold , then update the quality-replenishing path and parameters, repeat the operations from S51 to S55 until the correction effect meets the requirements, and store all parameters of the quality-replenishing operation and the final correction effect as correction result data.

[0014] Optionally, the S7 specifically includes: S71, if the calculated residual unbalance Exceeding the set threshold , start the electromagnetic torque control module to generate dynamic electromagnetic torque in real time , fine-tune and compensate the operating status of the fan rotor; S72, electromagnetic torque control module includes electromagnetic coil, inertial measurement unit, optical fiber weight sensor and control system. The electromagnetic coil dynamically adjusts the current intensity. and direction , the calculation formula of the generated dynamic electromagnetic torque is: ; in, is the electromagnetic torque constant, is the current intensity, is the phase angle of the unbalanced quantity; S73, control system based on The control algorithm dynamically adjusts the regulation process. The control algorithm includes proportional control term, integral control term and differential control term; S74, based on the residual unbalance monitored in real time and the vibration response function , calculate the dynamic adjustment parameters , the dynamic electromagnetic torque Apply to the rotor so that the direction of the torque is consistent with the direction of the residual unbalance; S75, real-time monitoring of compensated vibration response through inertial measurement unit and fiber optic weight sensor and the new residual unbalance ,like , then update the control system parameters and repeat the compensation process from S72 to S74; S76, after the compensation is completed, the dynamic electromagnetic torque parameter , vibration response and the final residual unbalance Stored as correction result data.

[0015] Optional modules include: Multimodal sensing module: used to collect geometric parameters, material properties, vibration signals, airflow disturbance characteristics and rotation trajectory when the fan is in static and dynamic operation states, and provide data support for generating multidimensional mechanical distribution models and dynamic response models; Data processing and modeling module: Based on the data collected by the multimodal sensor module, a multidimensional mechanical distribution model of the fan is constructed to calculate the real-time imbalance, generate an imbalance response matrix, decompose the main component and the secondary component, and predict the dynamic change trend of the rotor mass deviation; Quality replenishment operation module: According to the quality replenishment distribution model generated by the data processing and modeling module, the flexible micro-nano dispensing operation is performed. The dispensing device has dynamic obstacle avoidance capability, can sense the interference factors in the fan operation in real time and adjust the quality replenishment path. The servo motor drives the dispensing head to complete the flexible quality replenishment operation, and the optical fiber weight sensor is used to monitor the quality of the quality replenishment in real time. Electromagnetic torque control module: It is used to make real-time fine-tuning compensation for the residual unbalance after the quality supplement operation is completed, and adjust the rotor operation state by dynamically generating electromagnetic torque. The control algorithm adjusts the current intensity and direction to achieve dynamic balance; Data storage and optimization module: used to store key data of quality replenishment operation, vibration response, residual imbalance, and electromagnetic control process, and generate a long-term dynamic balance optimization model based on historical data to predict the imbalance trend in future operation and optimize the correction strategy.

[0016] The beneficial effects of the present invention are: The present invention uses a multimodal sensing module to collect geometric parameters and material properties when the fan is stationary, and to obtain data such as vibration signals, airflow disturbance characteristics and rotation trajectory in real time under dynamic operation, providing accurate input data for constructing a multidimensional mechanical distribution model and an unbalanced response matrix. This all-round, multi-dimensional data collection method makes up for the defect of incomplete data in traditional correction technology and ensures the accuracy and adaptability of the correction strategy.

[0017] The present invention can effectively decompose the imbalance generated during the operation of the fan, split it into a primary component and a secondary component, and accurately grasp the changing law of the imbalance through dynamic trend prediction. This decomposition method not only improves the processing efficiency of the imbalance, but also significantly enhances the targetedness of the correction, so that the correction operation can be more accurately concentrated on the key area, avoiding large-scale invalid adjustments in traditional correction methods.

[0018] The present invention uses flexible micro-nano dispensing technology and real-time UV curing equipment, which can dynamically adjust the filling path, dispensing flow rate and curing parameters to ensure the uniform distribution of the filling material within the filling range, and dynamically monitor the actual filling quality through the optical fiber weight sensor. The application of this technology realizes the high accuracy and automation of the filling operation, reduces the human error in the filling process, and effectively solves the problem of calibration failure caused by uneven distribution of colloid or insufficient curing.

[0019] The present invention innovatively introduces the interference avoidance function. The quality replenishment device can perceive obstacles or the position of running parts in the surrounding environment in real time, and flexibly select the quality replenishment path and position through a dynamic path adjustment algorithm to ensure the efficiency and safety of the quality replenishment operation. Compared with traditional methods, this function greatly improves the adaptability of quality replenishment operations in complex environments and further enhances the accuracy of the correction process.

[0020] The present invention uses an electromagnetic torque control module to perform real-time fine-tuning compensation. The module combines the dynamic torque generation formula and The control algorithm can dynamically adjust the current intensity and direction according to the real-time monitoring data, and the generated dynamic electromagnetic torque accurately matches the direction and amplitude of the residual unbalance. Compared with the traditional static quality compensation method, this module shows stronger adaptability and efficiency in dealing with residual unbalance under complex working conditions, effectively avoiding the repeated correction process.

[0021] The present invention stores the key data in the correction process, including the re-quality position, re-quality quality, residual unbalance and vibration response parameters, as correction result data through the data storage and optimization module, and constructs a long-term dynamic balance optimization model. This module not only realizes the long-term preservation of the correction data, but also can perform automatic analysis based on historical data, optimize the re-quality path and correction strategy, and has adaptive correction and prediction functions, which greatly improves the intelligence level of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings: Figure 1 A flow chart of a method and system for automatically correcting fan imbalance proposed by the present invention; Figure 2 A schematic diagram of the construction of a multi-dimensional mechanical distribution model and an unbalanced response matrix generated based on real-time signal processing and modeling; Figure 3 It is a schematic diagram of the composition of the electromagnetic torque control module and the dynamic torque generation and fine-tuning compensation. DETAILED DESCRIPTION

[0023] The present invention will now be described in further detail with reference to the accompanying drawings. These drawings are simplified schematic diagrams, which only illustrate the basic structure of the present invention in a schematic manner, and therefore only show the components related to the present invention.

[0024] refer to Figure 1-3 , a method and system for automatically correcting fan imbalance, comprising the following steps: S1. When the fan is stationary, the built-in multimodal sensing module is used to collect geometric parameters and material properties of the fan rotor to generate a multidimensional mechanical distribution model. The multimodal sensing module transmits the geometric parameters and material properties to the calculation module in a three-dimensional coordinate data format through a built-in data processing unit to generate a mass distribution function. S2. Put the fan into a dynamic operation state, collect multimodal signals including vibration signals, rotation trajectories and airflow disturbance characteristics in real time through an embedded inertial measurement unit and an airflow disturbance sensor, and calculate the real-time operation imbalance of the fan by combining a multidimensional mechanical distribution model of a static state; S3. Based on the real-time unbalanced quantity, an unbalanced response matrix is ​​constructed. The unbalanced quantity is decomposed into a primary component and a secondary component, and the dynamic trend of the rotor mass deviation as the working condition changes is predicted in combination with the dynamic working condition. S4. According to the unbalanced response matrix, the restricted areas in the fan structure are automatically identified, including reinforcing ribs, weak parts or areas with large airflow resistance, and the quality replenishment range is divided within the allowed area so that the quality replenishment operation will not affect the structural strength and aerodynamic performance of the fan; S5. Use flexible micro-nano dispensing technology to perform multi-point filling operations within the filling range, quickly solidify the colloid through non-contact UV excitation, and use optical fiber weight sensors to monitor and adjust the filling quality in real time to match the requirements of the unbalanced response matrix. The dispensing device has interference avoidance function, can sense obstacles and running parts in the environment, and flexibly select the filling position through dynamic path adjustment, while recording the filling position and mass distribution; S6. After completing the preliminary correction, collect the multi-modal signals in the running state for the second time, detect the residual imbalance after correction, optimize the quality supplement effect through fluid-mechanical coupling analysis, and correct the quality supplement deviation caused by operation; S7. If the residual unbalance exceeds the set threshold, the electromagnetic torque control module is started to perform real-time fine-tuning compensation. The module adjusts the rotor operation state by generating dynamic electromagnetic torque until dynamic balance is achieved; S8. After the calibration is completed, the key data of the calibration process, including the position of the quality supplement, the quality of the quality supplement, the imbalance before and after the calibration, the vibration parameters and the operating conditions are recorded to the host computer, and the dynamic balance model is updated in combination with the historical data. The dynamic balance model is used to predict the imbalance trend in the future operation and automatically trigger the re-calibration operation.

[0025] In this implementation manner, the S1 specifically includes: S11, using a built-in multi-modal sensor module to collect geometric parameters of the fan rotor, wherein the geometric parameters include external contour dimensions, thickness distribution, and radius variation of a cross section, and the collection is achieved through three-dimensional scanning technology and laser measurement equipment; S12, collecting material properties of the fan rotor, wherein the material properties include material density distribution, elastic modulus and uniformity properties, and are obtained by density analysis equipment and material testing equipment; S13. Based on the collected geometric parameters and material properties, the mass distribution function of the fan rotor is calculated: ; in, represents the mass distribution of the rotor in three-dimensional space, represents the density distribution of the material, Indicates the volume of the corresponding volume unit; S14, calculate the total mass and center of gravity position of the fan rotor, where the center of gravity position includes , , Coordinates in three directions, representing the equilibrium point of the rotor mass distribution; S15, combining the mass distribution function, the center of gravity position and the initial mass deviation to generate a multi-dimensional mechanical distribution model of the fan.

[0026] In this implementation, S2 specifically includes: S21, collecting three-dimensional vibration signals during the operation of the fan through an embedded inertial measurement unit, wherein the inertial measurement unit has The accelerometer range is , the sampling frequency is not less than The collected vibration signals include Acceleration components in three directions , , ; S22, using an airflow disturbance sensor to synchronously collect airflow characteristics when the fan is running, wherein the airflow disturbance sensor has a velocity field measurement range of , the pressure field measurement range is The airflow characteristics collected include airflow velocity field and pressure field Distribution of S23, perform signal processing on the collected three-dimensional vibration signal, use Fourier transform to convert the vibration signal from time domain to frequency domain, and extract the main vibration frequency component of the fan operation and analyze transient vibration characteristics by wavelet transform; S24, combined with the processing results of Fourier transform and wavelet transform, and the characteristics of airflow disturbance and pressure field Together, a vibration response model of the fan under dynamic operation is established, where the vibration response function It is expressed as: ; in, is the total vibration amplitude, , , are the three-dimensional acceleration components; S25, based on vibration response function and airflow disturbance characteristics , , combined with the multi-dimensional mechanical distribution model generated in the static state, the real-time imbalance of the fan during operation is calculated through the functional relationship between the vibration response function and the airflow disturbance characteristics. : ; S26. Calculate the distribution characteristics of the real-time unbalance, including the phase angle of the unbalance and amplitude : ; ; in, It indicates the phase angle of the operating imbalance relative to the rotating axis. Indicates the real-time amplitude of the unbalance; S27, the distribution characteristics of the real-time unbalance quantity, including the phase angle , Amplitude and time-related characteristics are stored as dynamic unbalance characteristic data.

[0027] In this implementation, S3 specifically includes: S31, the vibration response function collected in real time and real-time imbalance As input data, construct the unbalanced response matrix , the unbalance response matrix is ​​based on the distribution characteristics of vibration amplitude, phase angle and real-time unbalance quantity: ; in, is the response change rate; S32, based on the unbalanced response matrix , the principal component analysis algorithm is used to decompose it into principal components and secondary components, where the principal component matrix describes the main mass deviation and phase characteristics, and the secondary component matrix represents the transient residual characteristics of complex vibrations; S33. Combine the dynamic distribution characteristics of the main component and the secondary component to calculate the trend function of the imbalance of the fan rotor under different rotation conditions over time. : ; in, As the main component, For secondary weight; S34. Combined trend function , predict the mass deviation distribution of the fan rotor at a specific time point in the future through dynamic time series analysis method ; S35, distributing the predicted quality deviation and the unbalanced response matrix combining, generating a dynamic response model, the model including the distribution of imbalance components at future time points; S36. The dynamic response model is stored as dynamic unbalance characteristic data, and is used as an input basis for quality correction and optimization correction strategies to optimize the dynamic adaptability and accuracy of the fan under operating conditions.

[0028] In this implementation manner, the S4 specifically includes: S41, based on the generated unbalanced response matrix and trend function , calculate the required amount of mass for the fan rotor : ; in, is the complementary ratio factor, and are the imbalance of the main component and the secondary component respectively; S42. Using the dynamic identification algorithm based on topology optimization and the mechanical model of the fan operation, the quality restriction area is automatically identified through iterative optimization. The optimization goal is to minimize the structural stress while satisfying the mechanical performance constraints: ; in, represents the stress distribution of the fan rotor in three-dimensional space, Indicates the volume of the structure; S43, after generating the preliminary restricted area through topology optimization, combining the adaptive optimization algorithm, taking the dynamic response data of the fan as input, continuously updating the boundary of the quality-replenishing restricted area, including the reinforcement ribs, weak parts and areas with significant airflow disturbance; S44. Based on the detected restricted area, the influence of the mass replenishment operation on the mechanical characteristics and aerodynamic performance of the fan is simulated by using a finite element analysis tool, and the permissible mass replenishment range is divided so that the mass replenishment operation will not affect the structural strength and aerodynamic efficiency of the fan; S45. Optimize the replenishment position based on the allowable replenishment range and the real-time calculated imbalance distribution And the distribution of tonic: ; in, It is the spatial scope of the tonic effect; S46, generating a fan quality supplement distribution model based on the optimization results, the model including quality supplement position, quality supplement and dynamic distribution characteristics of the complementary quality range.

[0029] In this implementation manner, S5 specifically includes: S51, based on the generated replenishment distribution model, dynamically determine the dispensing path and operation parameters within the replenishment range, the parameters include the replenishment position , improve quality and dispensing distribution characteristics to meet the unbalanced response matrix and real-time correction requirements; S52, using flexible micro-nano dispensing technology to perform a quality replenishment operation on the dispensing path, the dispensing device is driven by a servo motor and has interference avoidance capability, and the position of the interference source is detected in real time through the sensor module, including the running track of the rotating parts and external obstacles, and the dispensing path is dynamically optimized in combination with the path adjustment algorithm, so that the quality replenishment operation avoids the interference area; S53, in the dispensing process, real-time non-contact Stimulate the quick curing of glue dispensed. The curing equipment dynamically adjusts the light intensity, irradiation angle and irradiation time to adapt to the colloid thickness and ambient temperature, so that the curing effect meets the calibration requirements; S54, real-time monitoring of the quality of the repair through the optical fiber weight sensor , and the theoretical demand and theoretical mass distribution For comparison, if , then the closed-loop feedback control system is triggered; S55, combining real-time monitoring data and replenishment distribution model, dynamically optimize dispensing path, colloid flow and Excitation parameters, the adjusted operating parameters are used for quality supplementation and re-execution, so that the quality supplementation distribution meets the correction requirements of the unbalanced response matrix; S56: After the quality supplement is completed, the quality distribution after the quality supplement is calculated based on the real-time monitoring data and residual unbalance ,like Exceeding the preset threshold , then update the quality-replenishing path and parameters, repeat the operations from S51 to S55 until the correction effect meets the requirements, and store all parameters of the quality-replenishing operation and the final correction effect as correction result data.

[0030] In this implementation manner, the S7 specifically includes: S71, if the calculated residual unbalance Exceeding the set threshold , start the electromagnetic torque control module to generate dynamic electromagnetic torque in real time , fine-tune and compensate the operating status of the fan rotor; S72, electromagnetic torque control module includes electromagnetic coil, inertial measurement unit, optical fiber weight sensor and control system. The electromagnetic coil dynamically adjusts the current intensity. and direction , the calculation formula of the generated dynamic electromagnetic torque is: ; in, is the electromagnetic torque constant, is the current intensity, is the phase angle of the unbalanced quantity; S73, control system based on The control algorithm dynamically adjusts the regulation process. The control algorithm includes proportional control term, integral control term and differential control term; S74, based on the residual unbalance monitored in real time and the vibration response function , calculate the dynamic adjustment parameters , the dynamic electromagnetic torque Apply to the rotor so that the direction of the torque is consistent with the direction of the residual unbalance; S75, real-time monitoring of compensated vibration response through inertial measurement unit and fiber optic weight sensor and the new residual unbalance ,like , then update the control system parameters and repeat the compensation process from S72 to S74; S76, after the compensation is completed, the dynamic electromagnetic torque parameter , vibration response and the final residual unbalance Stored as correction result data.

[0031] In this embodiment, the following modules are included: Multimodal sensing module: used to collect geometric parameters, material properties, vibration signals, airflow disturbance characteristics and rotation trajectory when the fan is in static and dynamic operation states, and provide data support for generating multidimensional mechanical distribution models and dynamic response models; Data processing and modeling module: Based on the data collected by the multimodal sensor module, a multidimensional mechanical distribution model of the fan is constructed to calculate the real-time imbalance, generate an imbalance response matrix, decompose the main component and the secondary component, and predict the dynamic change trend of the rotor mass deviation; Quality replenishment operation module: According to the quality replenishment distribution model generated by the data processing and modeling module, the flexible micro-nano dispensing operation is performed. The dispensing device has dynamic obstacle avoidance capability, can sense the interference factors in the fan operation in real time and adjust the quality replenishment path. The servo motor drives the dispensing head to complete the flexible quality replenishment operation, and the optical fiber weight sensor is used to monitor the quality of the quality replenishment in real time. Electromagnetic torque control module: It is used to make real-time fine-tuning compensation for the residual unbalance after the quality supplement operation is completed, and adjust the rotor operation state by dynamically generating electromagnetic torque. The control algorithm adjusts the current intensity and direction to achieve dynamic balance; Data storage and optimization module: used to store key data of quality replenishment operation, vibration response, residual imbalance, and electromagnetic control process, and generate a long-term dynamic balance optimization model based on historical data to predict the imbalance trend in future operation and optimize the correction strategy.

[0032] Embodiment 1: In order to verify the feasibility of the present invention in implementation, the present invention is applied to industrial production. Large-scale ventilation equipment often faces serious vibration and noise problems due to its long-term operation and complex working conditions. The main fan of a steel plant has been in use for many years, and the imbalance of the rotor causes high-frequency vibration during operation, which not only threatens the life of the equipment, but also causes the problem of excessive noise in the working environment, directly affecting production efficiency and workers' work comfort. The traditional static correction method can no longer meet the dynamic operation requirements of the fan, and the semi-automatic dynamic correction method with manual participation has not been able to completely solve the problem due to its complex operation, low efficiency and unstable correction effect. In response to this situation, an automatic quality correction system and method for fan imbalance proposed in the present invention are used to perform real-time dynamic correction on the fan.

[0033] During the calibration process, static data of the fan's rotor was collected through a multimodal sensing module to obtain its geometric parameters and material properties, including the rotor's external contour dimensions, thickness distribution and cross-sectional radius changes. At the same time, the material's density distribution, elastic modulus and uniformity characteristics were measured through density analysis equipment and material testing devices. Based on these data, a multidimensional mechanical distribution model of the rotor was constructed, and the static characteristics of the rotor's mass distribution and the initial mass deviation were calculated.

[0034] When the fan is running, the system starts the dynamic data acquisition function, and captures the vibration signal and airflow disturbance characteristics in real time through the embedded inertial measurement unit and airflow disturbance sensor. The collected vibration signal includes acceleration components along the x, y, and z directions, while the airflow disturbance characteristics include the distribution data of the velocity field and the pressure field. After combining these real-time data with the static mechanical model, the system generates the dynamic unbalance response matrix of the rotor, decomposes the unbalance amount into the main component and the secondary component, and further predicts the change trend of the rotor's mass deviation under different operating conditions.

[0035] According to the calculation results of the system, flexible micro-nano dispensing technology was used to perform multi-point replenishment operations within the replenishment range allowed by the rotor. The dispensing path and the replenishment quality were dynamically determined by the real-time generated replenishment distribution model. The dispensing head completed the operation under the precise drive of the servo motor. At the same time, the UV curing equipment quickly cured the replenishment material after dispensing, and the curing time was 0.8 seconds each time, ensuring the stability and uniformity of the colloid. During the replenishment process, the optical fiber weight sensor monitored the replenishment quality in real time and found that the actual quality of the initial replenishment deviated from the theoretical demand by 2.1%. The system automatically adjusted the dispensing flow and path. In the corrected replenishment operation, the deviation was controlled within 0.2%, which significantly improved the correction accuracy. The dispensing device has an interference avoidance function. By real-time sensing the rotor rotation trajectory and possible obstacles, combined with the dynamic path adjustment algorithm to optimize the dispensing path, the replenishment operation avoids the interference area, ensuring the efficiency and safety of the replenishment process.

[0036] After the quality replenishment operation was completed, the system performed a secondary vibration test on the fan. The test results showed that there was still a slight deviation in the residual unbalance, which was mainly reflected in the transient vibration response during dynamic operation. The electromagnetic torque control module was started to fine-tune and compensate for the residual unbalance by dynamically generating electromagnetic torque. The module adjusted the current intensity and direction of the electromagnetic coil in real time based on the vibration signal and the phase angle of the unbalance, and completed the dynamic balance adjustment within 2 seconds, reducing the final residual unbalance to less than 0.02%.

[0037] After the calibration is completed, all the data in the calibration process, including static mass distribution, imbalance response matrix, real-time vibration signal, quality replenishment operation parameters and residual imbalance, are stored in the data storage module, and a dynamic balance optimization model is generated in combination with historical data. Based on data analysis, the system predicts that the ventilator will remain stable in the next two months of operation. If the calibration trigger conditions are met, the system will automatically start the quality replenishment calibration process without manual intervention.

[0038] After calibration, the vibration amplitude of the fan was reduced from 3.2 mm / s before calibration to 0.3 mm / s, and the noise was reduced from the original 85 decibels to 68 decibels, meeting the national environmental noise standards. The calibration process took about 15 minutes, which greatly improved the calibration efficiency compared to the 3 hours of the traditional calibration method. At the same time, through the combination of automatic quality replenishment and fine-tuning compensation, the calibration accuracy was improved by more than 20 times compared with the traditional method. The calibrated fan runs stably and does not need to be shut down for adjustment again, which significantly extends the service life of the equipment.

[0039] Table 1 Fan unbalance correction process related data table

[0040] It can be seen from the table that the overall calibration process takes about 20 minutes, of which the quality replenishment operation stage takes the longest time, which is 6 minutes. The remaining stages such as static and dynamic data acquisition, electromagnetic torque fine-tuning, etc. are all controlled within the range of 1 to 5 minutes. Compared with the traditional method that takes 3 hours, the calibration efficiency is significantly improved. The static geometric parameters and material property data are collected through the multimodal sensing module to build the initial mechanical distribution model. The static mass deviation is controlled within 0.8%. The dynamic data acquisition stage captures the vibration signals and airflow disturbance characteristics of the fan in real time. The vibration amplitude is increased from the initial 3.2 The dynamic response model accurately reflects the unbalanced characteristics of the operation. The flexible micro-nano dispensing technology is used in the quality replenishment operation stage. The initial quality replenishment deviation is 2.1%, which is corrected to 0.2% after real-time monitoring and adjustment by the optical fiber weight sensor, reflecting the high precision and dynamic adaptability of the correction operation. After the quality replenishment operation is completed, the system uses the electromagnetic torque control module to make real-time fine-tuning compensation for the residual imbalance, and adjusts the current intensity and direction in combination with the PID control algorithm to reduce the final residual imbalance to 0.02%, effectively solving the problem of subtle imbalance under complex working conditions. The vibration amplitude of the fan operation is reduced to 0.3 mm / s, and the noise level is reduced from 85 decibels to 68 decibels, meeting the national environmental noise standard. At the same time, the equipment operation stability is significantly improved, extending the service life of the equipment. The data storage module records all key parameters in the correction process, and generates a dynamic balance optimization model in combination with historical data to provide support for subsequent correction prediction and automatic optimization.

[0041] In summary, the present invention has achieved significant breakthroughs in real-time performance, correction accuracy and intelligence. It can complete the full-process correction from data acquisition to quality control operation and fine-tuning compensation in real time, effectively reduce the vibration and noise during fan operation, extend the service life of the equipment, and significantly improve the stability and reliability of equipment operation. The present invention is suitable for fields such as industrial ventilation equipment, household appliances and aviation turbomachinery that require high-precision dynamic balance correction, and has broad application prospects and technical promotion value.

[0042] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A method for automatically correcting fan imbalance, characterized in that: The steps include: S1. When the fan is stationary, the built-in multimodal sensing module is used to collect geometric parameters and material properties of the fan rotor to generate a multidimensional mechanical distribution model. The multimodal sensing module transmits the geometric parameters and material properties to the calculation module in a three-dimensional coordinate data format through a built-in data processing unit to generate a mass distribution function. S2. Put the fan into a dynamic operation state, collect multimodal signals including vibration signals, rotation trajectories and airflow disturbance characteristics in real time through an embedded inertial measurement unit and an airflow disturbance sensor, and calculate the real-time operation imbalance of the fan by combining a multidimensional mechanical distribution model of a static state; S3. Based on the real-time unbalanced quantity, an unbalanced response matrix is ​​constructed. The unbalanced quantity is decomposed into a primary component and a secondary component, and the dynamic trend of the rotor mass deviation as the working condition changes is predicted in combination with the dynamic working condition. S4. According to the unbalanced response matrix, the restricted areas in the fan structure are automatically identified, including reinforcing ribs, weak parts or areas with large airflow resistance, and the quality replenishment range is divided within the allowed area so that the quality replenishment operation will not affect the structural strength and aerodynamic performance of the fan; S5. Use flexible micro-nano dispensing technology to perform multi-point filling operations within the filling range, quickly solidify the colloid through non-contact UV excitation, and use optical fiber weight sensors to monitor and adjust the filling quality in real time to match the requirements of the unbalanced response matrix. The dispensing device has interference avoidance function, can sense obstacles and running parts in the environment, and flexibly select the filling position through dynamic path adjustment, while recording the filling position and mass distribution; S6. After completing the preliminary correction, collect the multi-modal signals in the running state for the second time, detect the residual imbalance after correction, optimize the quality supplement effect through fluid-mechanical coupling analysis, and correct the quality supplement deviation caused by operation; S7. If the residual unbalance exceeds the set threshold, the electromagnetic torque control module is started to perform real-time fine-tuning compensation. The module adjusts the rotor operation state by generating dynamic electromagnetic torque until dynamic balance is achieved; S8. After the calibration is completed, the key data of the calibration process, including the position of the quality supplement, the quality of the quality supplement, the imbalance before and after the calibration, the vibration parameters and the operating conditions are recorded to the host computer, and the dynamic balance model is updated in combination with the historical data. The dynamic balance model is used to predict the imbalance trend in the future operation and automatically trigger the re-calibration operation.

2. The method for automatically correcting fan imbalance according to claim 1, characterized in that: The S1 specifically includes: S11, using a built-in multi-modal sensor module to collect geometric parameters of the fan rotor, wherein the geometric parameters include external contour dimensions, thickness distribution, and radius variation of a cross section, and the collection is achieved through three-dimensional scanning technology and laser measurement equipment; S12, collecting material properties of the fan rotor, wherein the material properties include material density distribution, elastic modulus and uniformity properties, and are obtained by density analysis equipment and material testing equipment; S13. Based on the collected geometric parameters and material properties, the mass distribution function of the fan rotor is calculated: ； in, represents the mass distribution of the rotor in three-dimensional space, represents the density distribution of the material, Indicates the volume of the corresponding volume unit; S14, calculate the total mass and center of gravity position of the fan rotor, where the center of gravity position includes , , Coordinates in three directions, representing the equilibrium point of the rotor mass distribution; S15, combining the mass distribution function, the center of gravity position and the initial mass deviation to generate a multi-dimensional mechanical distribution model of the fan.

3. The method for automatically correcting fan imbalance according to claim 1, characterized in that: The S2 specifically includes: S21, collecting three-dimensional vibration signals during the operation of the fan through an embedded inertial measurement unit, wherein the inertial measurement unit has The accelerometer range is , the sampling frequency is not less than The collected vibration signals include Acceleration components in three directions , , ; S22, using an airflow disturbance sensor to synchronously collect airflow characteristics when the fan is running, wherein the airflow disturbance sensor has a velocity field measurement range of , the pressure field measurement range is The airflow characteristics collected include airflow velocity field and pressure field Distribution of S23, perform signal processing on the collected three-dimensional vibration signal, use Fourier transform to convert the vibration signal from time domain to frequency domain, and extract the main vibration frequency component of the fan operation and analyze transient vibration characteristics by wavelet transform; S24, combined with the processing results of Fourier transform and wavelet transform, and the characteristics of airflow disturbance and pressure field Together, a vibration response model of the fan under dynamic operation is established, where the vibration response function It is expressed as: ； in, is the total vibration amplitude, , , are the three-dimensional acceleration components; S25, based on vibration response function and airflow disturbance characteristics , , combined with the multi-dimensional mechanical distribution model generated in the static state, the real-time imbalance of the fan during operation is calculated through the functional relationship between the vibration response function and the airflow disturbance characteristics. : ； S26. Calculate the distribution characteristics of the real-time unbalance, including the phase angle of the unbalance and amplitude : ； ； in, It indicates the phase angle of the operating imbalance relative to the rotating axis. Indicates the real-time amplitude of the unbalance; S27, the distribution characteristics of the real-time unbalance quantity, including the phase angle , Amplitude and time-related characteristics are stored as dynamic unbalance characteristic data.

4. The method for automatically correcting fan imbalance according to claim 1, characterized in that: The S3 specifically includes: S31, the vibration response function collected in real time and real-time imbalance As input data, construct the unbalanced response matrix , the unbalance response matrix is ​​based on the distribution characteristics of vibration amplitude, phase angle and real-time unbalance quantity: ； in, is the response change rate; S32, based on the unbalanced response matrix , the principal component analysis algorithm is used to decompose it into principal components and secondary components, where the principal component matrix describes the main mass deviation and phase characteristics, and the secondary component matrix represents the transient residual characteristics of complex vibrations; S33. Combine the dynamic distribution characteristics of the main component and the secondary component to calculate the trend function of the fan rotor's imbalance under different rotation conditions over time. : ； in, As the main component, For secondary weight; S34. Combined trend function , predict the mass deviation distribution of the fan rotor at a specific time point in the future through dynamic time series analysis method ; S35, distributing the predicted quality deviation and the unbalanced response matrix combining, generating a dynamic response model, the model including the distribution of imbalance components at future time points; S36. The dynamic response model is stored as dynamic unbalance characteristic data, and is used as an input basis for quality correction and optimization correction strategies to optimize the dynamic adaptability and accuracy of the fan under operating conditions.

5. The method for automatically correcting fan imbalance according to claim 1, characterized in that: The S4 specifically includes: S41, based on the generated unbalanced response matrix and trend function , calculate the required amount of mass for the fan rotor : ； in, is the complementary ratio factor, and are the imbalance of the main component and the secondary component respectively; S42. Using the dynamic identification algorithm based on topology optimization and the mechanical model of the fan operation, the quality restriction area is automatically identified through iterative optimization. The optimization goal is to minimize the structural stress while satisfying the mechanical performance constraints: ； in, represents the stress distribution of the fan rotor in three-dimensional space, Indicates the volume of the structure; S43, after generating the preliminary restricted area through topology optimization, combining with the adaptive optimization algorithm, taking the dynamic response data of the fan as input, continuously updating the boundary of the quality-replenishing restricted area, including the reinforcement ribs, weak parts and areas with significant airflow disturbance; S44. Based on the detected restricted area, the influence of the mass replenishment operation on the mechanical characteristics and aerodynamic performance of the fan is simulated by using a finite element analysis tool, and the permissible mass replenishment range is divided so that the mass replenishment operation will not affect the structural strength and aerodynamic efficiency of the fan; S45. Optimize the replenishment position based on the allowable replenishment range and the real-time calculated imbalance distribution And the distribution of tonic: ； in, It is the spatial scope of the tonic effect; S46, generating a fan quality supplement distribution model based on the optimization results, the model including quality supplement position, quality supplement and dynamic distribution characteristics of the complementary quality range.

6. The method for automatically correcting fan imbalance according to claim 1, characterized in that: The S5 specifically includes: S51, based on the generated replenishment distribution model, dynamically determine the dispensing path and operation parameters within the replenishment range, the parameters include the replenishment position , improve quality and dispensing distribution characteristics to meet the unbalanced response matrix and real-time correction requirements; S52, using flexible micro-nano dispensing technology to perform a quality replenishment operation on the dispensing path, the dispensing device is driven by a servo motor and has interference avoidance capability, and the position of the interference source is detected in real time through the sensor module, including the running track of the rotating parts and external obstacles, and the dispensing path is dynamically optimized in combination with the path adjustment algorithm, so that the quality replenishment operation avoids the interference area; S53, in the dispensing process, real-time non-contact Stimulate the quick curing of glue dispensed. The curing equipment dynamically adjusts the light intensity, irradiation angle and irradiation time to adapt to the colloid thickness and ambient temperature, so that the curing effect meets the calibration requirements; S54, real-time monitoring of the quality of the repair through the optical fiber weight sensor , and the theoretical demand and theoretical mass distribution For comparison, if , then the closed-loop feedback control system is triggered; S55, combining real-time monitoring data and replenishment distribution model, dynamically optimize dispensing path, colloid flow and Excitation parameters, the adjusted operating parameters are used for quality supplementation and re-execution, so that the quality supplementation distribution meets the correction requirements of the unbalanced response matrix; S56: After the quality supplement is completed, the quality distribution after the quality supplement is calculated based on the real-time monitoring data and residual unbalance ,like Exceeding the preset threshold , then update the quality-replenishing path and parameters, repeat the operations from S51 to S55 until the correction effect meets the requirements, and store all parameters of the quality-replenishing operation and the final correction effect as correction result data.

7. The method for automatically correcting fan imbalance according to claim 1, characterized in that: The S7 specifically includes: S71, if the calculated residual unbalance Exceeding the set threshold , start the electromagnetic torque control module to generate dynamic electromagnetic torque in real time , fine-tune and compensate the operating status of the fan rotor; S72, electromagnetic torque control module includes electromagnetic coil, inertial measurement unit, optical fiber weight sensor and control system. The electromagnetic coil dynamically adjusts the current intensity. and direction , the calculation formula of the generated dynamic electromagnetic torque is: ； in, is the electromagnetic torque constant, is the current intensity, is the phase angle of the unbalanced quantity; S73, control system based on The control algorithm dynamically adjusts the regulation process. The control algorithm includes proportional control term, integral control term and differential control term; S74, based on the residual unbalance value monitored in real time and the vibration response function , calculate the dynamic adjustment parameters , the dynamic electromagnetic torque Apply to the rotor so that the direction of the torque is consistent with the direction of the residual unbalance; S75, real-time monitoring of compensated vibration response through inertial measurement unit and fiber optic weight sensor and the new residual unbalance ,like , then update the control system parameters and repeat the compensation process from S72 to S74; S76, after the compensation is completed, the dynamic electromagnetic torque parameter , vibration response and the final residual unbalance Stored as correction result data.

8. An automatic quality correction system for fan imbalance, characterized in that: Includes the following modules: Multimodal sensing module: used to collect geometric parameters, material properties, vibration signals, airflow disturbance characteristics and rotation trajectory when the fan is in static and dynamic operation states, and provide data support for generating multidimensional mechanical distribution models and dynamic response models; Data processing and modeling module: Based on the data collected by the multimodal sensor module, a multidimensional mechanical distribution model of the fan is constructed to calculate the real-time imbalance, generate an imbalance response matrix, decompose the main component and the secondary component, and predict the dynamic change trend of the rotor mass deviation; Quality replenishment operation module: According to the quality replenishment distribution model generated by the data processing and modeling module, the flexible micro-nano dispensing operation is performed. The dispensing device has dynamic obstacle avoidance capability, can sense the interference factors in the fan operation in real time and adjust the quality replenishment path. The servo motor drives the dispensing head to complete the flexible quality replenishment operation, and the optical fiber weight sensor is used to monitor the quality of the quality replenishment in real time. Electromagnetic torque control module: It is used to make real-time fine-tuning compensation for the residual unbalance after the quality supplement operation is completed, and adjust the rotor operation state by dynamically generating electromagnetic torque. The control algorithm adjusts the current intensity and direction to achieve dynamic balance; Data storage and optimization module: used to store key data of quality replenishment operation, vibration response, residual imbalance, and electromagnetic control process, and generate a long-term dynamic balance optimization model based on historical data to predict the imbalance trend in future operation and optimize the correction strategy.

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