Collector ring carbon powder intelligent cleaning system

Abstract

The embodiment of the invention provides an intelligent cleaning system for collecting ring carbon powder. The intelligent cleaning system for the collecting ring carbon powder comprises a data acquisition module, an intelligent analysis module, an ultrasonic cleaning module, a carbon powder separation and recovery module and a closed-loop control module, the data acquisition module acquires a surface image of the collecting ring through a micro camera and acquires surface temperature data through an infrared sensor; the intelligent analysis module performs edge enhancement and thermodynamic diagram modeling on the image to generate three-dimensional distribution data of a carbon powder accumulation area; the ultrasonic cleaning module dynamically adjusts the cleaning path, the ultrasonic frequency and the cleaning liquid injection pressure according to the three-dimensional distribution data; the carbon powder separation and recovery module recovers carbon powder and purifies the cleaning liquid through electromagnetic separation and centrifugal separation; and the closed-loop control module triggers secondary cleaning or parameter optimization based on the surface roughness and conductivity detection result. And the maintenance efficiency of the industrial equipment is remarkably improved through a multi-mode sensing and self-adaptive control technology.

Description

TECHNICAL FIELD

[0001] Embodiments of the present specification relate to the technical field of equipment operation and maintenance, and particularly relate to a carbon powder intelligent cleaning system for a collector ring. BACKGROUND

[0002] The indoor carbon powder of the generator collector ring chamber has always been a problem in the wind power industry. Excessive carbon powder can cause the collector ring chamber to be grounded, resulting in failure of the wind turbine generator set. The existing technology relies on wind to clean the carbon powder, but cannot remove most of the carbon powder. Today, ultrasonic cleaning technology is mature, but it has not been used in the generator system of the wind turbine generator set. The use of ultrasonic cleaning device for carbon powder can more intelligently and effectively remove carbon powder and achieve carbon powder collection and reuse.

[0003] The existing technology only removes the carbon powder on the surface of the equipment inside the collector ring chamber by physical methods or relies on fans, and cannot achieve high efficiency and reuse.

[0004] Therefore, a better solution is needed. SUMMARY

[0005] Therefore, the carbon powder intelligent cleaning system for the collector ring is provided to solve the technical defects in the prior art.

[0006] According to a first aspect of the embodiments of the present specification, a carbon powder intelligent cleaning system for a collector ring is provided, comprising a data acquisition module, an intelligent analysis module, an ultrasonic cleaning module, a carbon powder separation and recovery module, and a closed-loop control module. The data acquisition module acquires the surface image of the collector ring through a miniature camera and obtains the surface temperature data through an infrared sensor; The intelligent analysis module performs edge enhancement and thermal map modeling on the image to generate three-dimensional distribution data of the carbon powder accumulation area; The ultrasonic cleaning module dynamically adjusts the cleaning path, ultrasonic frequency, and cleaning liquid injection pressure according to the three-dimensional distribution data; The carbon powder separation and recovery module recovers the carbon powder through electromagnetic separation and centrifugal separation and purifies the cleaning liquid; The closed-loop control module triggers secondary cleaning or parameter optimization based on the surface roughness and conductivity detection results.

[0007] In one possible implementation, the miniature camera adopts a ring array layout, the infrared sensor synchronously acquires temperature data, the adaptive white balance algorithm is used in the preprocessing stage to eliminate light interference, and the edge enhancement algorithm strengthens the boundary features of the carbon powder accumulation area.

[0008] In a possible implementation, the intelligent analysis module adopts a partitioned grid modeling method, calculates the cleaning priority according to the carbon powder thickness, temperature abnormal value and historical wear data, generates a spiral progressive cleaning path, and dynamically matches the ultrasonic frequency and the cleaning liquid injection pressure.

[0009] In a possible implementation, the ultrasonic cleaning module integrates a double-shaft rotary nozzle and a piezoelectric transducer array, the nozzle adopts a pulse injection mode to form a liquid film, the transducer array generates a directional ultrasonic beam, the standing wave is focused through phase control, and the liquid film thickness is monitored in real time to adjust the injection amount.

[0010] In a possible implementation, the carbon powder separation and recovery module includes an electromagnetic sorting device, a vortex centrifuge and a nanofiber filter element, the electromagnetic sorting device adsorbs magnetic carbon powder, the vortex centrifuge separates non-magnetic carbon powder, the filter element and activated carbon adsorb and purify the cleaning liquid and then return to the storage tank, and the carbon powder is stored by type and compression.

[0011] In a possible implementation, the closed-loop control module detects the surface roughness through a high-resolution laser profiler, evaluates the insulation performance in combination with a conductivity detector, triggers secondary cleaning if the threshold is not reached, and uploads historical data to a cloud platform to optimize parameters.

[0012] In a possible implementation, the calculation formula of the cleaning path optimization module is: wherein, is the cleaning priority of the ith unit, which is weightedly summed by the carbon powder thickness and the temperature abnormal value , and superimposed with the historical wear data and the ratio of the standard deviation , and normalized by square root.

[0013] In a possible implementation, the calculation formula of the ultrasonic frequency adjustment parameter is: wherein, is the ultrasonic frequency, is the carbon powder bulk density, is the cleaning liquid density, is the injection flow rate, is the liquid film volume, which is comprehensively calculated by the logarithmic relationship between the density ratio and the injection efficiency.

[0014] In a possible implementation, the system further includes a cloud platform for storing historical data and generating optimization parameters, the optimization parameters including cleaning time, ultrasonic power and injection pressure.

[0015] In a possible implementation, a real-time data interaction protocol is adopted between the data acquisition module and the intelligent analysis module, so as to ensure that the update frequency of the three-dimensional distribution data is not lower than 10 Hz.

[0016] The embodiment of the present specification provides a collector ring toner intelligent cleaning system, wherein the collector ring toner intelligent cleaning system comprises a data acquisition module, an intelligent analysis module, an ultrasonic cleaning module, a toner separation and recovery module, and a closed-loop control module; the data acquisition module collects a collector ring surface image through a miniature camera and obtains surface temperature data through an infrared sensor; the intelligent analysis module performs edge enhancement and thermal map modeling on the image to generate three-dimensional distribution data of a toner accumulation area; the ultrasonic cleaning module dynamically adjusts a cleaning path, an ultrasonic frequency, and a cleaning liquid injection pressure according to the three-dimensional distribution data; the toner separation and recovery module recovers toner and purifies cleaning liquid through electromagnetic separation and centrifugal separation; and the closed-loop control module triggers secondary cleaning or parameter optimization based on surface roughness and conductivity detection results. Through multi-modal perception and adaptive control technology, the maintenance efficiency of industrial equipment is significantly improved. BRIEF DESCRIPTION OF DRAWINGS

[0017] Figure 1 FIG. 1 is a system schematic diagram of a collector ring toner intelligent cleaning system provided by an embodiment of the present specification. DETAILED DESCRIPTION

[0018] In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present specification. However, the present specification can be practiced without the specific details, other than in the examples, and it is understood that the present specification will encompass numerous variations beyond those described in the detailed description. It will further be understood that the present specification includes all tweaks and modifications in the art along with their equivalents.

[0019] The terms used in one or more embodiments of the present specification are merely for the purpose of describing specific embodiments, and are not intended to limit one or more embodiments of the present specification. The singular forms "a", "an" and "the" used in one or more embodiments of the present specification and the appended claims are also intended to include the plural forms, unless the context clearly indicates otherwise. It should also be understood that the term "and / or" used in one or more embodiments of the present specification means and includes any or all possible combinations of one or more associated listed items.

[0020] It should be understood that, although the terms first, second, etc. can be employed in describing various information in one or more embodiments of the present specification, the information should not be limited to such terms. These terms are only used to differentiate one piece of information from another piece of information of the same type. For example, without departing from the scope of one or more embodiments of the present specification, first can also be referred to as second, and similarly, second can also be referred to as first. Depending on the context, the word "if' as used herein can be interpreted as meaning "when" or "upon determining" or "in response to determining".

[0021] In the present specification, a collector ring toner intelligent cleaning system is provided, which is described in detail one by one in the following embodiments.

[0022] Referring to Figure 1 , Figure 1 A system schematic diagram of a collector ring toner intelligent cleaning system according to one embodiment of the present specification is shown, which specifically includes a data acquisition module, an intelligent analysis module, an ultrasonic cleaning module, a toner separation and recovery module, and a closed-loop control module; the data acquisition module acquires collector ring surface images through a miniature camera and obtains surface temperature data through an infrared sensor; the intelligent analysis module performs edge enhancement and thermal map modeling on the images to generate three-dimensional distribution data of the toner accumulation area; the ultrasonic cleaning module dynamically adjusts the cleaning path, ultrasonic frequency, and cleaning liquid injection pressure according to the three-dimensional distribution data; the toner separation and recovery module recovers the toner through electromagnetic separation and centrifugal separation and purifies the cleaning liquid; the closed-loop control module triggers secondary cleaning or parameter optimization based on the surface roughness and conductivity detection results.

[0023] Among them, the miniature camera can refer to a collector ring surface image acquisition device, which is used to capture high-definition images of the toner accumulation area in real time. The infrared sensor can refer to a surface temperature detection device, which can obtain temperature distribution data of the collector ring. The edge enhancement algorithm can refer to an image processing technology to enhance the boundary features of the toner accumulation area. The thermal map modeling can refer to a three-dimensional temperature distribution analysis technology, which can generate three-dimensional distribution data of the toner accumulation. The ultrasonic cleaning module can refer to a high-frequency vibration cleaning device, which is used to dynamically adjust the cleaning path and parameters. Electromagnetic separation can refer to a magnetic toner separation technology, which can adsorb ferrous carbon powder. Centrifugal separation can refer to a non-magnetic toner recovery technology to separate impurities by density difference. The closed-loop control module can refer to an automatic feedback system for triggering secondary cleaning or parameter optimization according to the detection results.

[0024] As a specific example: the data acquisition module collects the surface image of the collector ring through the ring array micro camera, and the infrared sensor synchronously detects the temperature distribution; the intelligent analysis module performs edge enhancement processing on the image, combines the temperature data to construct a three-dimensional thermal map, and marks the carbon powder accumulation area; the ultrasonic cleaning module generates a spiral cleaning path according to the thermal map data, adjusts the frequency to 50 kHz, and controls the cleaning liquid injection pressure; the carbon powder separation and recovery module adsorbs the magnetic carbon powder through electromagnetic separation, the remaining liquid enters the centrifuge to separate non-magnetic impurities, and the purified cleaning liquid returns to the system; the closed-loop control module detects the surface roughness through the laser profiler, and if it does not meet the standard, the cleaning process is automatically restarted.

[0025] The system realizes accurate positioning and efficient cleaning of carbon powder accumulation through multi-sensor cooperation and adaptive control technology; dynamic path planning and ultrasonic parameter optimization significantly improve cleaning efficiency; the closed-loop recovery system reduces resource consumption and ensures long-term operation stability; the intelligent feedback mechanism ensures that the cleaning quality meets the industrial standards.

[0026] In one possible implementation, the micro camera adopts a ring array layout, the infrared sensor synchronously collects temperature data, and in the preprocessing stage, the adaptive white balance algorithm is used to eliminate light interference, and the edge enhancement algorithm is used to strengthen the boundary features of the carbon powder accumulation area.

[0027] The ring array layout can refer to a multi-angle image acquisition structure that can realize panoramic coverage monitoring of the surface of the collector ring. The adaptive white balance algorithm can refer to a dynamic color correction technology to eliminate color difference interference caused by environmental light on carbon powder identification.

[0028] As a specific example: the micro camera adopts a six-ring ring array layout, and the infrared sensor synchronously collects temperature data at a frequency of 30 frames per second; in the preprocessing stage, the adaptive white balance algorithm is used to eliminate the influence of ±15% light fluctuation, and the edge enhancement algorithm uses the Sobel operator to strengthen the boundary profile of the carbon powder accumulation area.

[0029] The system significantly improves the accuracy and adaptability of carbon powder detection through multi-modal data fusion and intelligent preprocessing technology; the ring layout ensures no dead angle monitoring, and the dynamic algorithm optimization ensures stable operation under complex lighting conditions, providing a highly reliable intelligent solution for industrial equipment maintenance.

[0030] In one possible implementation, the intelligent analysis module adopts a partitioned grid modeling, calculates the cleaning priority according to the carbon powder thickness, temperature abnormal value and historical wear data, generates a spiral progressive cleaning path, and dynamically matches the ultrasonic frequency and cleaning liquid injection pressure.

[0031] Among them, the partition grid modeling can refer to the spatial data block processing technology, which can divide the collector ring surface into multiple analysis units. The cleaning priority calculation can refer to a multi-parameter comprehensive evaluation algorithm to determine the processing order according to the carbon powder thickness, temperature abnormal value and historical wear data. The spiral progressive cleaning path can refer to a dynamic trajectory planning method for realizing efficient cleaning coverage from inside to outside.

[0032] As a specific example: the intelligent analysis module divides the collector ring surface into 36 grid units, calculates the priority of each area by integrating the carbon powder thickness (0.1-0.5mm), temperature abnormal value (ΔT≥15℃) and historical wear data, and generates a spiral progressive cleaning path; the ultrasonic frequency is dynamically adjusted within the range of 35-45kHz, and the cleaning liquid injection pressure remains 0.3-0.8MPa with the change of path curvature.

[0033] The system realizes accurate allocation of cleaning resources through multi-dimensional data analysis and dynamic path optimization; intelligent algorithms significantly improve the processing efficiency under complex conditions, ensuring the reliability and economy of industrial equipment maintenance.

[0034] In one possible implementation, the ultrasonic cleaning module integrates a dual-axis rotating nozzle and a piezoelectric ceramic transducer array, the nozzle adopts a pulse injection mode to form a liquid film, the transducer array generates a directional ultrasonic beam, and through phase control, a standing wave focus is achieved, and the liquid film thickness is monitored in real time to adjust the injection amount.

[0035] Among them, the dual-axis rotating nozzle can refer to a multi-angle liquid injection device that can achieve uniform coverage and cleaning of complex surfaces. The pulse injection mode can refer to an intermittent liquid delivery technology to form a stable and controllable cleaning liquid film. The piezoelectric ceramic transducer array can refer to an ultrasonic wave generating component for generating high-frequency mechanical vibration. The directional ultrasonic beam can refer to focused acoustic energy technology that can enhance the cleaning effect in specific areas. Phase control can refer to a sound wave interference adjustment method to form a standing wave focus field. Liquid film thickness monitoring can refer to a surface state sensing system for real-time feedback and adjustment of injection parameters.

[0036] As a specific example: the dual-axis rotating nozzle of the ultrasonic cleaning module performs pulse injection with a swing angle of ±45°, forming a uniform liquid film with a thickness of 50μm; the piezoelectric ceramic transducer array generates a 40kHz directional ultrasonic beam through 16 independent units, and the phase control system makes the standing wave focus on the carbon powder accumulation area; the laser ranging sensor detects the liquid film thickness every 0.2 seconds and feeds back to adjust the injection amount.

[0037] The system realizes efficient cleaning of complex surfaces through high-precision injection and ultrasonic wave synergy; the dynamic adjustment mechanism ensures the stability and resource utilization rate of the cleaning process, significantly improving the automation level and cleaning quality of industrial equipment maintenance.

[0038] In one possible implementation, the carbon powder separation and recovery module includes an electromagnetic sorting device that adsorbs magnetic carbon powder, a vortex centrifuge that separates non-magnetic carbon powder, and a nanofiber filter cartridge that returns the cleaned liquid to the storage tank after being purified by activated carbon, and the carbon powder is stored by type and compression.

[0039] Among them, the high-resolution laser profiler can refer to a surface topography measuring device that can detect roughness parameters with nanometer-level precision. The conductivity detector can refer to an electrical property analysis device to evaluate the insulation performance of the material. The cloud platform can refer to a remote data management system for storing and analyzing historical optimization data.

[0040] As a specific example: the high-resolution laser profiler of the closed-loop control module scans the surface with 0.1 μm precision, and the conductivity detector measures the insulation resistance in real time; when the roughness exceeds Ra0.8 μm or the insulation resistance is lower than 10 MΩ, the secondary cleaning process is triggered; all detection data are uploaded to the cloud platform in synchronization, and the cleaning parameters are optimized through a machine learning model.

[0041] This closed-loop system realizes precise quality control through multi-dimensional intelligent detection, and significantly improves cleaning reliability through adaptive adjustment mechanism; data cloud sharing function provides continuous support for process optimization, and promotes the intelligent upgrading of industrial cleaning technology.

[0042] In one possible implementation, the closed-loop control module detects surface roughness through a high-resolution laser profiler, evaluates insulation performance in combination with a conductivity detector, and triggers secondary cleaning if the threshold is not met, and historical data are uploaded to the cloud platform to optimize parameters.

[0043] Among them, the closed-loop control module can refer to an automated feedback regulation system that can achieve dynamic adjustment of process parameters. The high-resolution laser profiler can refer to an optical measuring instrument that can detect the surface topography features of an object with nanometer-level precision. Surface roughness can refer to a material surface micro-unevenness parameter used to evaluate processing quality indicators. The conductivity detector can refer to an electrical property analysis device that can measure the electrical conductivity of a medium. Insulation performance can refer to the ability of a material to prevent current flow to ensure electrical safety standards. The threshold can refer to a pre-set critical value used to trigger system control actions. Secondary cleaning can refer to a repeated cleaning process that can improve the final processing effect. Historical data can refer to process record information used to optimize algorithm training basis. The cloud platform can refer to a remote computing service system to realize data sharing and analysis functions.

[0044] As a specific example: the closed-loop control module is equipped with a laser profilometer with a precision of 0.1μm to scan the workpiece surface in real time. When the Ra value is detected to be greater than 0.5μm, the conductivity detector is linked to perform insulation verification. If the resistance value is less than 20MΩ, the secondary cleaning process is triggered. At the same time, the detection data is encrypted and transmitted to the cloud platform, and the process parameter library is updated through LSTM neural network.

[0045] This intelligent control system significantly improves process stability through multi-parameter collaborative detection, effectively reduces defect rate through adaptive adjustment mechanism, and provides decision support for continuous process optimization through data accumulation on the cloud platform. The overall solution combines real-time performance with forward-looking technological advantages.

[0046] In one possible implementation, the calculation formula for the cleaning path optimization module is: in, The cleaning priority of the i-th unit is determined by the toner thickness. and temperature anomalies Weighted summation, overlaying historical wear and tear data with standard deviation The ratio is normalized by square root.

[0047] For example, the cleaning path optimization module collects toner thickness data for each unit every 5 minutes. Calculate by combining temperature sensor readings Value; retrieves the most recent 30 days. Wear and tear records and Stability parameters; when When the value exceeds the set threshold, the unit is automatically inserted into the priority cleaning queue, and the robotic arm's movement trajectory is adjusted to avoid high-risk areas.

[0048] This intelligent optimization system achieves precise decision-making through multi-dimensional parameter fusion calculation, ensuring timely treatment of key polluted areas while also taking into account preventive maintenance of equipment wear and tear. It significantly improves cleaning efficiency while extending equipment lifespan, forming a dynamically balanced maintenance strategy.

[0049] In one possible implementation, the formula for calculating the ultrasonic frequency adjustment parameter is: in, This refers to the ultrasonic frequency. The bulk density of the toner. The density of the cleaning solution, For jet flow rate, The liquid film volume is calculated using the logarithmic relationship between density ratio and injection efficiency.

[0050] As a specific example: the ultrasonic generator monitors the carbon powder accumulation area in real time values, combined with sensor data to calculate terms; synchronously collect flow meters and thickness gauge readings to evaluate the spray coverage effect; the final output frequency is dynamically adjusted in the range of 28 kHz to 45 kHz to ensure optimal cavitation effect under different pollution conditions.

[0051] This intelligent adjustment system realizes precise frequency control through multi-parameter fusion calculation, which can adapt to the differences in physical properties of different pollutants and dynamically match the working conditions of cleaning media, while improving cleaning effect and reducing energy consumption, forming an efficient and energy-saving ultrasonic cleaning solution.

[0052] In one possible implementation, the system further includes a cloud platform for storing historical data and generating optimization parameters, including cleaning time, ultrasonic power, and spray pressure.

[0053] The cloud platform can refer to a remote data processing center that can realize multi-terminal data synchronization and intelligent analysis. The historical data can refer to a process record set for establishing a device operation knowledge base. The optimization parameters can refer to a combination of process control variables to improve the overall performance of the system. The cleaning time can refer to the job duration parameter, which can affect the cleaning efficiency and energy consumption balance. The ultrasonic power can refer to the cavitation energy output value, which is used to control the physical cleaning intensity. The spray pressure can refer to the fluid impact force index to adjust the penetration effect of chemical cleaning.

[0054] As a specific example: the cloud platform aggregates historical data from each production line every 24 hours, generates an optimization parameter package containing cleaning time (15-25 minutes interval), ultrasonic power (adjustable 300-500W), and spray pressure (0.2-0.5MPa gradient) through a deep learning model, and pushes it to the local controller for execution after security verification.

[0055] This system realizes the continuous evolution of process parameters through cloud intelligent analysis, dynamically optimizes energy consumption configuration under the premise of ensuring cleaning quality, reduces manual debugging cost, improves equipment adaptability, and forms an intelligent manufacturing solution with self-improving characteristics.

[0056] In one possible implementation, a real-time data interaction protocol is used between the data acquisition module and the intelligent analysis module to ensure that the update frequency of the three-dimensional distribution data is not less than 10Hz.

[0057] ​As a specific example: the data acquisition module uploads three-dimensional point cloud data through the RS485 bus at a frequency of 12Hz, and the intelligent analysis module receives the data stream using a lightweight TCP protocol, completes the analysis of the pollutant distribution within a 20ms delay window, and triggers the path planning instructions of the cleaning robot arm.

[0058] The design realizes fast response of the cleaning system through high-frequency data interaction, ensures accurate capture and timely processing of dynamic pollution distribution, significantly improves the accuracy of cleaning operations while maintaining system stability, and forms an intelligent cleaning solution with real-time decision-making capability.

[0059] It should be noted that, for the foregoing method embodiments, in order to facilitate description, they are all expressed as a series of action combinations, but those skilled in the art should know that the embodiments of the present specification are not limited by the described action sequence, because according to the embodiments of the present specification, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily necessary for the embodiments of the present specification.

[0060] In the above embodiments, the description of each embodiment has its own emphasis, and the parts not described in detail in a certain embodiment can be referred to the related description of other embodiments.

[0061] The preferred embodiments of the present specification disclosed above are only used to help explain the present specification. The alternative embodiments do not describe all the details and limit the invention to the specific embodiments described. Obviously, according to the content of the embodiments of the present specification, many modifications and changes can be made. The present specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the embodiments of the present specification, so that those skilled in the art can well understand and use the present specification. The present specification is limited only by the claims and their entire scope and equivalents.

Claims

1. A current collector ring toner intelligent cleaning system, characterized in that, It includes a data acquisition module, an intelligent analysis module, an ultrasonic cleaning module, a toner separation and recovery module, and a closed-loop control module; The data acquisition module acquires images of the collector ring surface using a miniature camera and obtains surface temperature data using an infrared sensor. The intelligent analysis module performs edge enhancement and heat map modeling on the image to generate three-dimensional distribution data of the toner accumulation area. The ultrasonic cleaning module dynamically adjusts the cleaning path, ultrasonic frequency, and cleaning fluid injection pressure based on three-dimensional distribution data. The toner separation and recovery module recovers toner and purifies the cleaning solution through electromagnetic separation and centrifugal separation. The closed-loop control module triggers secondary cleaning or parameter optimization based on the surface roughness and conductivity detection results.

2. The system according to claim 1, characterized in that, The miniature camera adopts a ring array layout, and the infrared sensor synchronously collects temperature data. In the preprocessing stage, an adaptive white balance algorithm is used to eliminate light interference, and an edge enhancement algorithm is used to enhance the boundary features of the toner accumulation area.

3. The system according to claim 1, characterized in that, The intelligent analysis module adopts partitioned grid modeling, calculates cleaning priority based on toner thickness, temperature anomalies and historical wear data, generates a spiral progressive cleaning path, and dynamically matches ultrasonic frequency and cleaning fluid injection pressure.

4. The system according to claim 1, characterized in that, The ultrasonic cleaning module integrates a dual-axis rotating nozzle and a piezoelectric ceramic transducer array. The nozzle forms a liquid film using a pulse jet mode, and the transducer array generates a directional ultrasonic beam. Standing wave focusing is achieved through phase control, and the jet volume is adjusted by monitoring the liquid film thickness in real time.

5. The system according to claim 1, characterized in that, The toner separation and recovery module includes an electromagnetic sorting device, a vortex centrifuge, and a nanofiber filter element. The electromagnetic sorting device adsorbs magnetic toner, the vortex centrifuge separates non-magnetic toner, and the filter element and activated carbon adsorb and purify the cleaning liquid before returning it to the storage tank. The toner is compressed and stored according to its type.

6. The system according to claim 1, characterized in that, The closed-loop control module detects surface roughness using a high-resolution laser profilometer and evaluates insulation performance using a conductivity meter. If the threshold is not reached, a secondary cleaning is triggered, and historical data is uploaded to the cloud platform to optimize parameters.

7. The system according to claim 1, characterized in that, The calculation formula for the cleaning path optimization module is: in, The cleaning priority of the i-th unit is determined by the toner thickness. and temperature anomalies Weighted summation, overlaying historical wear and tear data with standard deviation The ratio is normalized by square root.

8. The system according to claim 7, characterized in that, The formula for calculating the ultrasonic frequency adjustment parameter is: in, This refers to the ultrasonic frequency. The bulk density of the toner. The density of the cleaning solution, For jet flow rate, The liquid film volume is calculated using the logarithmic relationship between density ratio and injection efficiency.

9. The system according to claim 1, characterized in that, The system also includes a cloud platform for storing historical data and generating optimization parameters, including cleaning time, ultrasonic power, and jet pressure.

10. The system according to claim 1, characterized in that, The data acquisition module and the intelligent analysis module adopt a real-time data interaction protocol to ensure that the update frequency of the three-dimensional distribution data is not less than 10Hz.

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