Dynamic monitoring method and system for collector ring carbon brush wear based on laser scanning

Abstract

The present invention discloses a method and system for dynamically monitoring the wear of collector ring carbon brushes based on laser scanning, and relates to the field of data processing technology. The method comprises: obtaining a laser scanning permission instruction; based on the laser scanning permission instruction, starting a laser scanning device, performing non-contact scanning on the carbon brush, and obtaining the three-dimensional morphology data of the carbon brush; constructing a worn carbon brush model, and performing deviation identification with a standard carbon brush model to obtain a first wear result; by monitoring the target motor acted on by the carbon brush, obtaining the operating status data of the target motor; dynamically correcting the first wear result to generate a second wear result; inputting the second wear result into a pre-constructed wear analysis model, performing quantitative evaluation of carbon brush wear, and obtaining a wear coefficient; when the wear coefficient is greater than a preset wear threshold, generating a warning instruction. The technical problem that the wear of collector ring carbon brushes is difficult to monitor in real time and accurately in the prior art is solved, and the technical effect of real-time and accurate monitoring of the wear of collector ring carbon brushes is achieved.

Description

Technical Field

[0001] The invention relates to the technical field of data processing, and in particular to a method and system for dynamically monitoring collector ring carbon brush wear based on laser scanning. Background Art

[0002] In the complex and sophisticated power transmission and motor drive system, collector rings and carbon brushes are indispensable core components and play a vital role. They are not only responsible for transmitting electrical energy from stationary parts to rotating parts, but also undertake the commutation function to ensure the smooth flow of current in the motor. However, as the equipment runs for a long time, the carbon brushes will inevitably undergo a wear process. If this process is not monitored and managed in a timely and effective manner, it will have a serious impact on the performance, efficiency and reliability of the equipment. Traditional carbon brush wear monitoring methods mainly rely on manual inspections and periodic preventive replacement strategies. This method is not only inefficient and difficult to meet the needs of modern industry for continuous and efficient production, but also often has problems with excessive replacement or untimely replacement, resulting in waste of resources or increased risk of equipment failure. Summary of the invention

[0003] The present application provides a method and system for dynamically monitoring the wear of collector ring carbon brushes based on laser scanning, which solves the technical problem in the prior art that the wear of collector ring carbon brushes is difficult to monitor in real time and accurately.

[0004] In view of the above problems, the present application provides a method and system for dynamically monitoring collector ring carbon brush wear based on laser scanning.

[0005] In a first aspect of the present application, a method for dynamically monitoring collector ring carbon brush wear based on laser scanning is provided, the method comprising:

[0006] Obtain a laser scanning permission instruction; based on the laser scanning permission instruction, start the laser scanning device, perform non-contact scanning on the carbon brush, and obtain three-dimensional morphological data of the carbon brush; use digital twin technology to build a worn carbon brush model according to the three-dimensional morphological data of the carbon brush, and identify the deviation between the worn carbon brush model and the standard carbon brush model to obtain a first wear result; by monitoring the target motor acted on by the carbon brush, obtain the operating status data of the target motor, and the operating status data includes the vibration frequency and the motor speed; according to the vibration frequency and the motor speed, dynamically correct the first wear result to generate a second wear result; input the second wear result into a pre-constructed wear analysis model, perform quantitative evaluation of carbon brush wear, and obtain a wear coefficient; when the wear coefficient is greater than a preset wear threshold, generate an early warning instruction, and the early warning instruction is used to remind operation and maintenance personnel to replace the carbon brush.

[0007] The second aspect of the present application provides a collector ring carbon brush wear dynamic monitoring system based on laser scanning, the system comprising:

[0008] An instruction acquisition module, the instruction acquisition module is used to obtain a laser scanning permission instruction; a scanning module, the scanning module is used to start the laser scanning device based on the laser scanning permission instruction, perform non-contact scanning on the carbon brush, and obtain the three-dimensional morphology data of the carbon brush; an identification module, the identification module is used to use digital twin technology to build a worn carbon brush model according to the three-dimensional morphology data of the carbon brush, and perform deviation identification between the worn carbon brush model and the standard carbon brush model to obtain a first wear result; a data acquisition module, the data acquisition module is used to obtain the operating status data of the target motor by monitoring the target motor acted on by the carbon brush, and the operating status data includes a vibration frequency and a motor speed; a correction module, the correction module is used to dynamically correct the first wear result according to the vibration frequency and the motor speed to generate a second wear result; an evaluation module, the evaluation module is used to input the second wear result into a pre-constructed wear analysis model, perform a quantitative evaluation of carbon brush wear, and obtain a wear coefficient; an early warning module, the early warning module is used to generate an early warning instruction when the wear coefficient is greater than a preset wear threshold, and the early warning instruction is used to remind the operation and maintenance personnel to replace the carbon brush.

[0009] A third aspect of an embodiment of the present application provides an electronic device, comprising: a memory for storing executable instructions; and a processor for executing the executable instructions stored in the memory to implement the laser scanning-based dynamic monitoring method for collector ring carbon brush wear provided in the present application.

[0010] A fourth aspect of the embodiments of the present application provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the laser scanning-based dynamic monitoring method for collector ring carbon brush wear provided in the present application.

[0011] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0012] First, obtain the laser scanning permission instruction; based on the laser scanning permission instruction, start the laser scanning device, perform non-contact scanning on the carbon brush, and obtain the three-dimensional morphology data of the carbon brush. Then, use the digital twin technology to build a worn carbon brush model based on the three-dimensional morphology data of the carbon brush, and identify the deviation between the worn carbon brush model and the standard carbon brush model to obtain the first wear result. By monitoring the target motor acted by the carbon brush, the operating status data of the target motor is obtained, and the operating status data includes the vibration frequency and the motor speed. Then, according to the vibration frequency and the motor speed, the first wear result is dynamically corrected to generate the second wear result. Further, the second wear result is input into the pre-built wear analysis model to perform a quantitative evaluation of the carbon brush wear and obtain the wear coefficient. Finally, when the wear coefficient is greater than the preset wear threshold, an early warning instruction is generated, and the early warning instruction is used to remind the operation and maintenance personnel to replace the carbon brush. The technical problem that the wear of the collector ring carbon brush is difficult to monitor in real time and accurately in the prior art is solved, and the technical effect of real-time and accurate monitoring of the wear of the collector ring carbon brush is achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0014] Figure 1 A schematic flow chart of a method for dynamically monitoring collector ring carbon brush wear based on laser scanning provided in an embodiment of the present application;

[0015] Figure 2 A schematic diagram of the structure of a collector ring carbon brush wear dynamic monitoring system based on laser scanning provided in an embodiment of the present application;

[0016] Figure 3 This is a schematic diagram of the structure of an exemplary electronic device of the present application.

[0017] Explanation of the reference numerals: instruction acquisition module 11 , scanning module 12 , identification module 13 , data acquisition module 14 , correction module 15 , evaluation module 16 , early warning module 17 , processor 31 , memory 32 , input device 33 , output device 34 . DETAILED DESCRIPTION

[0018] The present application solves the technical problem in the prior art that the wear of collector ring carbon brushes is difficult to monitor in real time and accurately by providing a method and system for dynamic monitoring of collector ring carbon brush wear based on laser scanning.

[0019] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0020] It should be noted that the terms "including" and "having" are intended to cover non-exclusive inclusions. For example, a process, method, system, product or server that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or modules that are not explicitly listed or are inherent to these processes, methods, products or devices.

[0021] Embodiment 1, as Figure 1 As shown, the present application provides a method for dynamically monitoring collector ring carbon brush wear based on laser scanning, wherein the method comprises:

[0022] Obtain laser scanning licensing instructions.

[0023] Laser scanning licensing instructions are used to ensure that laser scanning devices operate under optimal conditions.

[0024] Furthermore, the method for obtaining the laser scanning permission instruction includes:

[0025] Based on the sensor network, the working environment of the motor is monitored to generate an environmental parameter set; the initial configuration plan of the laser scanning device is obtained; according to the environmental parameter set, the initial configuration plan of the laser scanning device is optimized to generate an optimized configuration plan; based on the optimized configuration plan, the parameters of the laser scanning device are set to generate a laser scanning permission instruction.

[0026] Specifically, a sensor network deployed around the motor is used to comprehensively monitor the working environment of the motor. The sensor network includes temperature sensors, humidity sensors, etc., which can collect and transmit various environmental parameters such as temperature and humidity in real time. By collecting these parameters, an environmental parameter set is generated; an initial configuration scheme is extracted from a built-in or preset database of the laser scanning device. The scheme usually includes default settings for laser scanning, such as scanning frequency, laser intensity, scanning angle and other parameters. The settings of these parameters will directly affect the accuracy, efficiency and safety of the scanning; the generated environmental parameter set is compared and analyzed with the initial configuration scheme of the laser scanning device, and the initial configuration scheme is adjusted and optimized through optimization algorithms (such as genetic algorithms, simulated annealing, etc.) to make it better adapt to the current working environment, thereby generating an optimized configuration scheme; the parameters of the optimized configuration scheme are applied to the laser scanning device to complete parameter settings and equipment calibration to ensure that the scanning operation can be performed in the best state under the current environment.

[0027] Furthermore, according to the environmental parameter set, the initial configuration scheme of the laser scanning device is optimized to generate an optimized configuration scheme, and the method includes:

[0028] Acquire the parameter range of the laser scanning device, and construct the parameter space of the laser scanning device with the parameter range of the laser scanning device as a constraint; randomly generate multiple first laser scanning working parameters in the laser scanning device parameter space; based on the environmental parameter set, perform fitness evaluation on the first laser scanning working parameters to obtain multiple fitness evaluation results; extract the maximum fitness from the multiple fitness evaluation results, and add the first laser scanning working parameter corresponding to the maximum fitness into the optimization configuration scheme.

[0029] Preferably, the parameter ranges of the laser scanning device are extracted, including but not limited to scanning frequency, laser intensity, scanning angle, resolution, etc., and the maximum and minimum values ​​of these parameters, as well as their adjustable ranges during operation, are determined; based on the obtained parameter ranges, a multidimensional parameter space is constructed, and all possible laser scanning working parameter combinations are represented in this parameter space, and each dimension of the parameter space corresponds to a laser scanning device parameter; in the constructed parameter space, multiple possible laser scanning working parameter combinations are generated by a random sampling method, which are called first laser scanning working parameters, and these parameter combinations cover various possible configurations of the laser scanning device; for each generated first laser scanning working parameter combination, combined with the current environmental parameter set, the performance of each combination in the current environment is evaluated using a fitness function, and the fitness function may consider multiple factors such as scanning accuracy, stability, energy consumption, etc. The evaluation results are multiple fitness evaluation results, each result reflects the advantages and disadvantages of the corresponding parameter combination; among all fitness evaluation results, the parameter combination with the maximum fitness is identified, and this combination is regarded as the optimal configuration as part of the optimization configuration scheme, and the optimization configuration scheme will be used to guide the working settings of the laser scanning device under the current environmental conditions.

[0030] Furthermore, based on the environmental parameter set, performing fitness evaluation on the first laser scanning working parameter to obtain multiple fitness evaluation results, the method includes:

[0031] Construct a fitness evaluation function to evaluate the fitness of the first laser scanning working parameters; fitness evaluation function: Among them, F(x) represents the fitness evaluation result, P represents the laser power, v represents the scanning speed, d represents the step size, t represents the scanning time, T represents the ambient temperature, H represents the ambient humidity, A represents the ambient vibration amplitude, SNR represents the signal-to-noise ratio, α, β, γ represent the weight coefficients, and ∈ represents a constant, which is used to prevent the denominator from being zero.

[0032] By combining the laser scanning working parameters with the environmental parameters, a fitness evaluation function is constructed to quantitatively evaluate the performance of each parameter combination under the current environmental conditions. Fitness evaluation function: Among them, F(x) represents the fitness evaluation result, representing the comprehensive performance of the evaluated laser scanning parameter combination; P represents the laser power; v represents the scanning speed; d represents the step size, representing the distance between the laser points during the scanning process; t represents the scanning time, representing the time required to complete the entire scan; T represents the ambient temperature; H represents the ambient humidity; A represents the ambient vibration amplitude; SNR represents the signal-to-noise ratio, which affects the clarity and accuracy of the scan data; α, γ, and β represent weight coefficients, which respectively control the weight of each part on the total fitness; ∈ represents a constant, which is used to prevent the denominator from being zero. For each first laser scanning working parameter combination, the above fitness evaluation function is used to calculate and obtain the corresponding fitness value. The higher the fitness value, the better the performance of the parameter combination in the current environment, and the better it can adapt to the current working environment and task requirements.

[0033] Based on the laser scanning permission instruction, the laser scanning device is started to perform non-contact scanning on the carbon brush to obtain the three-dimensional morphology data of the carbon brush.

[0034] According to the generated laser scanning permission instruction, the laser scanning device is activated and starts working under the preset parameter configuration (such as laser power, scanning speed, step length, etc.) to ensure stability and accuracy during the scanning process; the laser scanning device uses a laser beam to perform non-contact scanning on the surface of the carbon brush, and comprehensively covers the surface area of ​​the carbon brush by scanning point by point or line by line. The laser beam is reflected back to the sensor array of the device to record the morphology information of the carbon brush surface; during the scanning process, the laser scanning device collects the reflected laser signal in real time to generate three-dimensional morphology data of the carbon brush.

[0035] The digital twin technology is used to construct a worn carbon brush model according to the three-dimensional morphology data of the carbon brush, and the deviation between the worn carbon brush model and the standard carbon brush model is identified to obtain a first wear result.

[0036] Using digital twin technology, the acquired three-dimensional morphological data of the carbon brush is converted into a digital model to accurately reproduce the current physical state of the carbon brush. The worn carbon brush model includes all the details of the carbon brush surface, reflecting its degree of wear, shape changes and surface features; the three-dimensional morphological data of the unworn carbon brush is collected to construct a standard carbon brush model. The standard carbon brush model represents the three-dimensional morphology of the carbon brush when it is unworn or in an ideal state; the constructed worn carbon brush model is registered and aligned with the standard carbon brush model to ensure that the two are compared in the same coordinate system and scale; the deviation recognition algorithm is used to compare the geometric differences between the two and identify the deviation of the worn carbon brush model relative to the standard model, including wear depth, surface depression, shape variation, etc.; based on the results of deviation recognition, the first wear result is generated, which quantitatively describes the wear condition of the carbon brush, such as key indicators such as the total wear area, average depth, and maximum depth.

[0037] Furthermore, the worn carbon brush model is subjected to deviation identification with a standard carbon brush model to obtain a first wear result, and the method includes:

[0038] The worn carbon brush model is aligned with the standard carbon brush model. Based on the processing result, a surface matching algorithm is used to match the corresponding points of the worn carbon brush model with those of the standard carbon brush model to obtain multiple matching points; Euclidean distance calculation is performed on the multiple matching points to generate a distance difference set; statistical analysis is performed based on the distance difference set to obtain a difference index, and the difference index is added to the first wear result.

[0039] Specifically, the worn carbon brush model is aligned with the standard carbon brush model to ensure that the two are compared in the same coordinate system and scale; based on the result of the alignment, a surface matching algorithm (such as the ICP algorithm) is used to accurately match the corresponding points of the worn carbon brush model and the standard carbon brush model. The surface matching algorithm finds the closest point pair between the two models through step-by-step iteration, thereby obtaining multiple matching points; Euclidean distance calculation is performed on multiple matching points, and the geometric distance between each pair of matching points is measured. These distances reflect the degree of deviation of the worn carbon brush model relative to the standard carbon brush model, and a distance difference set is generated; based on the distance difference set, statistical analysis is performed to calculate difference indicators including average distance difference, maximum distance difference, standard deviation, etc. These indicators can quantitatively describe the wear of the carbon brush and reveal the severity and distribution characteristics of the wear; the difference indicators are added to the first wear result.

[0040] By monitoring the target motor acted upon by the carbon brush, operating status data of the target motor is acquired, wherein the operating status data includes a vibration frequency and a motor speed.

[0041] Vibration sensors and speed sensors are deployed at key locations of the target motor. These sensors can monitor the vibration frequency and speed of the motor in real time. The sensors collect vibration frequency and motor speed data in real time when the motor is running. The vibration frequency data reflects the mechanical vibration status of the motor, while the motor speed data indicates the current operating speed of the motor. By monitoring the running status data of the motor, it can provide an important reference for the wear analysis of the carbon brush.

[0042] The first wear result is dynamically corrected according to the vibration frequency and the motor speed to generate a second wear result.

[0043] The real-time vibration frequency and motor speed data of the target motor are acquired through monitoring. These data reflect the operating status of the motor under the current working conditions. The first wear result is dynamically corrected according to the acquired real-time vibration frequency and motor speed data. After the correction, a more accurate second wear result is obtained to more comprehensively reflect the real-time wear condition of the carbon brush.

[0044] Furthermore, dynamically correcting the first wear result according to the vibration frequency and the motor speed to generate a second wear result, the method includes:

[0045] The vibration frequency and the motor speed are correlated with the carbon brush wear to generate a dynamic correction coefficient; the first wear result is dynamically corrected according to the dynamic correction coefficient to generate a second wear result.

[0046] Specifically, the real-time monitored vibration frequency and motor speed data are correlated with the degree of wear of the carbon brushes. By analyzing these operating status data, the corresponding dynamic correction coefficient is calculated. The dynamic correction coefficient is used to reflect the degree of influence on the wear of the carbon brushes under the current operating conditions. The generated dynamic correction coefficient is applied to the first wear result. By adjusting the parameters of the wear assessment to make it more in line with the actual operating conditions of the motor, the corrected result, that is, the second wear result, will more accurately reflect the wear status of the carbon brushes under the current working conditions, providing more reliable data support for maintenance decisions.

[0047] Furthermore, the vibration frequency and the motor speed are correlated with the carbon brush wear to generate a dynamic correction coefficient, and the method includes:

[0048] Collect historical operation data of the motor, wherein the historical operation data of the motor includes a historical vibration frequency set, a historical motor speed set, and a historical carbon brush wear degree set; use the historical vibration frequency set and the historical carbon brush wear degree set as first training data to train a first association model; use the historical motor speed set and the historical carbon brush wear degree set as second training data to train a second association model; integrate the first association model and the second association model to generate a multidimensional association model; input the vibration frequency and the motor speed into the multidimensional association model for association analysis to generate a dynamic correction coefficient.

[0049] Preferably, historical data of the motor during long-term operation is collected, and the historical operation data of the motor includes a historical vibration frequency set, a historical motor speed set, and a historical carbon brush wear degree set, and these data are used to reveal the relationship between the motor operation state and the carbon brush wear; the historical vibration frequency set and the historical carbon brush wear degree set are used as the first training data to train a first association model, and the first association model is used to establish a correlation relationship between the vibration frequency and the carbon brush wear degree, and predict the influence of the vibration frequency on the wear; the historical motor speed set and the historical carbon brush wear degree set are used as the second training data to train a second association model, and the second association model is used to establish a correlation relationship between the motor speed and the carbon brush wear degree, and predict the influence of the motor speed on the wear; the first association model and the second association model are integrated to generate a multidimensional association model, and the multidimensional association model can simultaneously consider the comprehensive influence of the vibration frequency and the motor speed, and evaluate the carbon brush wear from multiple dimensions; the vibration frequency and motor speed monitored in real time are input into the multidimensional association model for correlation analysis, and the multidimensional association model calculates a dynamic correction coefficient based on the input data, and the dynamic correction coefficient reflects the dynamic influence of the current motor operating conditions on the carbon brush wear.

[0050] The second wear result is input into a pre-built wear analysis model to perform a quantitative evaluation of carbon brush wear to obtain a wear coefficient.

[0051] Collect data related to carbon brush wear from the historical operation records of the equipment, including historical wear results, operating status data (such as vibration frequency, motor speed), environmental data (such as temperature, humidity), and carbon brush replacement cycle; extract key features from the collected data, including wear depth, wear rate, wear area, operating time, vibration frequency, motor speed, etc.; through correlation analysis and principal component analysis (PCA), screen out the features most relevant to carbon brush wear, reduce redundant data, and optimize the complexity and performance of the model; select a neural network model based on the nature of the problem and data characteristics, and use the prepared historical data set to train the neural network model. After the training is completed, a wear analysis model is obtained. The second wear result based on dynamic correction is used as input data and imported into the pre-built wear analysis model. The wear analysis model receives the input second wear result and performs quantitative analysis on the wear degree of the carbon brush. During the evaluation process, the wear analysis model normalizes and weights various wear indicators and finally generates a standardized wear coefficient. The wear coefficient is usually a value between 0 and 1, or expressed as a percentage, which is used to quantify the current wear state of the carbon brush. The closer the wear coefficient is to 1, the more serious the wear of the carbon brush is, and the smaller the coefficient is, the lighter the wear is.

[0052] When the wear coefficient is greater than a preset wear threshold, a warning instruction is generated, and the warning instruction is used to remind the operation and maintenance personnel to replace the carbon brush.

[0053] According to the actual situation and the preset wear threshold by the expert team, when the wear coefficient is greater than the preset wear threshold, the system automatically generates an early warning instruction, which will be sent to the operation and maintenance personnel immediately to remind them that the wear of the carbon brush has exceeded the safe use range and it is recommended to replace the carbon brush as soon as possible to prevent equipment failure or damage.

[0054] In summary, the embodiments of the present application have at least the following technical effects:

[0055] First, obtain the laser scanning permission instruction; based on the laser scanning permission instruction, start the laser scanning device, perform non-contact scanning on the carbon brush, and obtain the three-dimensional morphology data of the carbon brush. Then, use the digital twin technology to build a worn carbon brush model based on the three-dimensional morphology data of the carbon brush, and identify the deviation between the worn carbon brush model and the standard carbon brush model to obtain the first wear result. By monitoring the target motor acted by the carbon brush, the operating status data of the target motor is obtained, and the operating status data includes the vibration frequency and the motor speed. Then, according to the vibration frequency and the motor speed, the first wear result is dynamically corrected to generate the second wear result. Further, the second wear result is input into the pre-built wear analysis model to perform a quantitative evaluation of the carbon brush wear and obtain the wear coefficient. Finally, when the wear coefficient is greater than the preset wear threshold, an early warning instruction is generated, and the early warning instruction is used to remind the operation and maintenance personnel to replace the carbon brush. The technical problem that the wear of the collector ring carbon brush is difficult to monitor in real time and accurately in the prior art is solved, and the technical effect of real-time and accurate monitoring of the wear of the collector ring carbon brush is achieved.

[0056] Embodiment 2 is based on the same inventive concept as the method for dynamically monitoring the wear of collector ring carbon brushes based on laser scanning in the above embodiment. Figure 2 As shown, the present application provides a collector ring carbon brush wear dynamic monitoring system based on laser scanning, wherein the system includes:

[0057] An instruction acquisition module 11 is used to acquire a laser scanning permission instruction; a scanning module 12 is used to start a laser scanning device based on the laser scanning permission instruction, perform non-contact scanning on the carbon brush, and obtain three-dimensional morphological data of the carbon brush; an identification module 13 is used to use digital twin technology to build a worn carbon brush model according to the three-dimensional morphological data of the carbon brush, and perform deviation identification between the worn carbon brush model and the standard carbon brush model to obtain a first wear result; a data acquisition module 14 is used to obtain a target motor by monitoring the carbon brush. Taking the operating status data of the target motor, the operating status data includes the vibration frequency and the motor speed; a correction module 15, the correction module 15 is used to dynamically correct the first wear result according to the vibration frequency and the motor speed, and generate a second wear result; an evaluation module 16, the evaluation module 16 is used to input the second wear result into a pre-built wear analysis model, perform a quantitative evaluation of the carbon brush wear, and obtain a wear coefficient; an early warning module 17, the early warning module 17 is used to generate an early warning instruction when the wear coefficient is greater than a preset wear threshold, and the early warning instruction is used to remind the operation and maintenance personnel to replace the carbon brush.

[0058] Furthermore, the instruction acquisition module 11 is used to execute the following method:

[0059] Based on the sensor network, the working environment of the motor is monitored to generate an environmental parameter set; the initial configuration plan of the laser scanning device is obtained; according to the environmental parameter set, the initial configuration plan of the laser scanning device is optimized to generate an optimized configuration plan; based on the optimized configuration plan, the parameters of the laser scanning device are set to generate a laser scanning permission instruction.

[0060] Furthermore, the instruction acquisition module 11 is used to execute the following method:

[0061] Acquire the parameter range of the laser scanning device, and construct the parameter space of the laser scanning device with the parameter range of the laser scanning device as a constraint; randomly generate multiple first laser scanning working parameters in the laser scanning device parameter space; based on the environmental parameter set, perform fitness evaluation on the first laser scanning working parameters to obtain multiple fitness evaluation results; extract the maximum fitness from the multiple fitness evaluation results, and add the first laser scanning working parameter corresponding to the maximum fitness into the optimization configuration scheme.

[0062] Furthermore, the instruction acquisition module 11 is used to execute the following method:

[0063] Construct a fitness evaluation function to evaluate the fitness of the first laser scanning working parameters; fitness evaluation function: Among them, F(x) represents the fitness evaluation result, P represents the laser power, v represents the scanning speed, d represents the step size, t represents the scanning time, T represents the ambient temperature, H represents the ambient humidity, A represents the ambient vibration amplitude, SNR represents the signal-to-noise ratio, α, β, γ represent the weight coefficients, and ∈ represents a constant, which is used to prevent the denominator from being zero.

[0064] Furthermore, the identification module 13 is used to execute the following method:

[0065] The worn carbon brush model is aligned with the standard carbon brush model. Based on the processing result, a surface matching algorithm is used to match the corresponding points of the worn carbon brush model with those of the standard carbon brush model to obtain multiple matching points; Euclidean distance calculation is performed on the multiple matching points to generate a distance difference set; statistical analysis is performed based on the distance difference set to obtain a difference index, and the difference index is added to the first wear result.

[0066] Furthermore, the correction module 15 is used to perform the following method:

[0067] The vibration frequency and the motor speed are correlated with the carbon brush wear to generate a dynamic correction coefficient; the first wear result is dynamically corrected according to the dynamic correction coefficient to generate a second wear result.

[0068] Furthermore, the correction module 15 is used to perform the following method:

[0069] Collect historical operation data of the motor, wherein the historical operation data of the motor includes a historical vibration frequency set, a historical motor speed set, and a historical carbon brush wear degree set; use the historical vibration frequency set and the historical carbon brush wear degree set as first training data to train a first association model; use the historical motor speed set and the historical carbon brush wear degree set as second training data to train a second association model; integrate the first association model and the second association model to generate a multidimensional association model; input the vibration frequency and the motor speed into the multidimensional association model for association analysis to generate a dynamic correction coefficient.

[0070] Embodiment 3, Figure 3 The schematic structural diagram of the electronic device provided in the second embodiment of the present invention shows a block diagram of an exemplary electronic device suitable for implementing the implementation mode of the present invention. Figure 3 The electronic device shown is only an example and should not limit the functions and scope of use of the embodiments of the present invention. Figure 3 As shown, the electronic device includes a processor 31, a memory 32, an input device 33 and an output device 34; the number of processors 31 in the electronic device can be one or more. Figure 3 Taking a processor 31 as an example, the processor 31, memory 32, input device 33 and output device 34 in the electronic device can be connected through a bus or other means. Figure 3 The example of connecting through bus is taken in the following.

[0071] The memory 32 is a computer-readable storage medium that can be used to store software programs, computer executable programs and modules, such as program instructions / modules corresponding to the collector ring carbon brush wear dynamic monitoring method based on laser scanning in the embodiment of the present invention. The processor 31 executes various functional applications and data processing of the electronic device by running the software programs, instructions and modules stored in the memory 32, that is, realizing the above-mentioned collector ring carbon brush wear dynamic monitoring method based on laser scanning.

[0072] It should be noted that the above-mentioned sequence of the embodiments of the present application is only for description and does not represent the advantages and disadvantages of the embodiments. And the above-mentioned specific embodiments of this specification are described. The processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0073] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

[0074] This specification and drawings are merely exemplary illustrations of the present application and are deemed to cover any and all modifications, variations, combinations or equivalents within the scope of the present application. Obviously, a person skilled in the art may make various modifications and variations to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application intends to include these modifications and variations.

Claims

1. A dynamic monitoring method for collector ring carbon brush wear based on laser scanning, characterized in that: The method comprises: Obtain laser scanning permit instructions; Based on the laser scanning permission instruction, a laser scanning device is started to perform non-contact scanning on the carbon brush to obtain three-dimensional morphology data of the carbon brush; Using digital twin technology, a worn carbon brush model is constructed according to the three-dimensional morphology data of the carbon brush, and deviations between the worn carbon brush model and a standard carbon brush model are identified to obtain a first wear result; By monitoring the target motor acted by the carbon brush, the operating state data of the target motor is obtained, wherein the operating state data includes the vibration frequency and the motor speed; Dynamically correcting the first wear result according to the vibration frequency and the motor speed to generate a second wear result; Inputting the second wear result into a pre-built wear analysis model to perform a quantitative evaluation of carbon brush wear to obtain a wear coefficient; When the wear coefficient is greater than a preset wear threshold, a warning instruction is generated, and the warning instruction is used to remind the operation and maintenance personnel to replace the carbon brush; Dynamically correcting the first wear result according to the vibration frequency and the motor speed to generate a second wear result, the method comprising: Correlation analysis is performed on the vibration frequency, the motor speed and the carbon brush wear to generate a dynamic correction coefficient; Dynamically correcting the first wear result according to the dynamic correction coefficient to generate a second wear result; The vibration frequency and the motor speed are correlated with the carbon brush wear to generate a dynamic correction coefficient, and the method includes: Collecting historical operation data of the motor, wherein the historical operation data of the motor includes a historical vibration frequency set, a historical motor speed set, and a historical carbon brush wear degree set; Using the historical vibration frequency set and the historical carbon brush wear degree set as first training data to train a first association model; Using the historical motor speed set and the historical carbon brush wear degree set as second training data to train a second association model; Integrating the first association model and the second association model to generate a multidimensional association model; The vibration frequency and the motor speed are input into the multi-dimensional correlation model for correlation analysis to generate a dynamic correction coefficient.

2. The laser scanning-based dynamic monitoring method for collector ring carbon brush wear according to claim 1, characterized in that: Obtaining a laser scanning permission instruction, the method comprising: Based on the sensor network, the working environment of the motor is monitored and a set of environmental parameters is generated; Obtaining an initial configuration plan of the laser scanning device; According to the environmental parameter set, optimizing the initial configuration scheme of the laser scanning device to generate an optimized configuration scheme; The laser scanning device is parameterized based on the optimized configuration scheme to generate a laser scanning permission instruction.

3. The laser scanning-based dynamic monitoring method for collector ring carbon brush wear according to claim 2, characterized in that: According to the environmental parameter set, an initial configuration scheme of the laser scanning device is optimized to generate an optimized configuration scheme, the method comprising: Acquire a parameter range of the laser scanning device, and construct a parameter space of the laser scanning device with the parameter range of the laser scanning device as a constraint; Randomly generating a plurality of first laser scanning operating parameters in the laser scanning device parameter space; Based on the environmental parameter set, performing fitness evaluation on the first laser scanning working parameter to obtain multiple fitness evaluation results; The maximum fitness is extracted from the multiple fitness evaluation results, and the first laser scanning working parameter corresponding to the maximum fitness is added to the optimization configuration scheme.

4. The laser scanning-based dynamic monitoring method for collector ring carbon brush wear according to claim 3, characterized in that: Based on the environmental parameter set, performing fitness evaluation on the first laser scanning working parameter to obtain multiple fitness evaluation results, the method comprising: Constructing a fitness evaluation function to evaluate the fitness of the first laser scanning working parameters; Fitness evaluation function: Among them, F(x) represents the fitness evaluation result, P represents the laser power, v represents the scanning speed, d represents the step size, t represents the scanning time, T represents the ambient temperature, H represents the ambient humidity, A represents the ambient vibration amplitude, SNR represents the signal-to-noise ratio, α, β, γ represent the weight coefficients, and ∈ represents a constant, which is used to prevent the denominator from being zero.

5. The laser scanning-based dynamic monitoring method for collector ring carbon brush wear according to claim 1, characterized in that: Performing deviation identification on the worn carbon brush model and the standard carbon brush model to obtain a first wear result, the method comprising: The worn carbon brush model is aligned with the standard carbon brush model, and based on the processing result, a surface matching algorithm is used to match the corresponding points of the worn carbon brush model with those of the standard carbon brush model to obtain a plurality of matching points; Performing Euclidean distance calculation on the multiple matching points to generate a distance difference set; A statistical analysis is performed based on the distance difference set to obtain a difference index, and the difference index is added to the first wear result.

6. The collector ring carbon brush wear dynamic monitoring system based on laser scanning is characterized by: A system for implementing the laser scanning-based dynamic monitoring method for collector ring carbon brush wear according to any one of claims 1 to 5, the system comprising: An instruction acquisition module, the instruction acquisition module is used to acquire a laser scanning permission instruction; A scanning module, the scanning module is used to start a laser scanning device based on the laser scanning permission instruction, perform non-contact scanning on the carbon brush, and obtain three-dimensional morphology data of the carbon brush; An identification module, wherein the identification module is used to construct a worn carbon brush model according to the three-dimensional morphology data of the carbon brush by using digital twin technology, and to perform deviation identification between the worn carbon brush model and a standard carbon brush model to obtain a first wear result; A data acquisition module, the data acquisition module is used to acquire the operating status data of the target motor by monitoring the target motor acted on by the carbon brush, the operating status data including the vibration frequency and the motor speed; A correction module, the correction module is used to dynamically correct the first wear result according to the vibration frequency and the motor speed to generate a second wear result; An evaluation module, wherein the evaluation module is used to input the second wear result into a pre-built wear analysis model to perform a quantitative evaluation of carbon brush wear to obtain a wear coefficient; An early warning module, wherein the early warning module is used to generate an early warning instruction when the wear coefficient is greater than a preset wear threshold, and the early warning instruction is used to remind the operation and maintenance personnel to replace the carbon brush; The correction module is used to perform: Correlation analysis is performed on the vibration frequency and the motor speed with the carbon brush wear to generate a dynamic correction coefficient; dynamically correcting the first wear result according to the dynamic correction coefficient to generate a second wear result; Collect historical operation data of the motor, wherein the historical operation data of the motor includes a historical vibration frequency set, a historical motor speed set, and a historical carbon brush wear degree set; use the historical vibration frequency set and the historical carbon brush wear degree set as first training data to train a first association model; use the historical motor speed set and the historical carbon brush wear degree set as second training data to train a second association model; integrate the first association model and the second association model to generate a multidimensional association model; input the vibration frequency and the motor speed into the multidimensional association model for association analysis to generate a dynamic correction coefficient.

7. An electronic device, characterized in that: The electronic device comprises: A memory for storing executable instructions; The processor is used to implement the laser scanning-based dynamic monitoring method for collector ring carbon brush wear as described in any one of claims 1 to 5 when executing the executable instructions stored in the memory.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the laser scanning-based dynamic monitoring method for collector ring carbon brush wear as described in any one of claims 1 to 5 is implemented.

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