A method of preventing sparking of an exciter brush of a generator

Abstract

The present application belongs to the technical field of generator equipment monitoring, and particularly relates to a method for preventing the sparking of a generator excitation brush. First, a monitoring module is arranged at the rotor excitation brush of the generator to obtain a digital switching signal and an analog signal of sparking frequency when the brush sparks. After the digital switching signal and the analog signal are preprocessed, it is determined whether the signal threshold is exceeded. If so, a de-excitation signal is generated. According to the de-excitation signal result, a solution is matched and pushed to the user. The present application can solve the problem of poor monitoring effect of the generator excitation system in the prior art.

Description

Technical Field

[0001] This invention belongs to the field of generator equipment monitoring technology, and in particular relates to a method for preventing sparking of generator excitation brushes. Background Technology

[0002] With the rapid development of modern enterprises, ensuring the stability and reliability of the power system has become one of the key factors supporting the continuous and efficient operation of enterprises. In particular, for enterprises that rely on a stable power supply, any unplanned power outage may bring huge economic losses or even safety risks. As the core equipment of the power system, the operating status of the generator is directly related to the stability and safety of the entire system.

[0003] Currently, in the power generation sector, many companies have adopted a series of preventative maintenance measures to ensure the safe operation of generators. Among these, the prevention of brush arcing and the monitoring of the slip ring status in the generator excitation system are particularly important, as the normal operation of the excitation system directly determines whether the generator can produce a stable current output. However, traditional monitoring methods mainly rely on periodic manual inspections, including but not limited to visual inspection, manually removing brushes for inspection, and using handheld infrared thermometers or thermal imagers for temperature measurement. While these methods can detect some potential problems, they still have some shortcomings, including: 1. Manual inspections require a significant amount of time and manpower; 2. There may be safety hazards during manual operation, such as the risk of electric shock; 3. Due to subjective human judgment, misjudgments or missed detections may occur; 4. Continuous monitoring is not possible, which may lead to some sudden faults not being detected in a timely manner.

[0004] Therefore, a technology is needed to improve the monitoring effect of generator excitation system. Summary of the Invention

[0005] The technical problem solved by this invention is to provide a method for preventing sparking of generator excitation brushes, thereby solving the problem of poor monitoring effect of generator excitation system in the prior art.

[0006] The basic solution provided by this invention is a method for preventing sparking of generator excitation brushes, comprising:

[0007] S1: Install a monitoring module at the rotor excitation brush of the generator according to the preset layout rules to acquire the digital switch signal when the rotor excitation brush ignites and the analog signal of the rotor excitation brush ignition frequency.

[0008] S2: After preprocessing the digital switch signal when the rotor excitation brush ignites and the analog signal of the rotor excitation brush ignition frequency, analyze and determine whether they exceed the preset signal threshold. If so, generate a demagnetization signal.

[0009] S3: Match solutions based on the demagnetization signal results and push them to the user.

[0010] The principle and advantages of this invention are as follows: Addressing the problem of poor monitoring effectiveness caused by manual monitoring in existing technologies, this solution employs signal matching and generates and pushes solutions. Specifically, a monitoring module is first installed at the rotor excitation brush of the generator. This module acquires the digital switching signal during rotor excitation brush ignition and the analog signal indicating the frequency of rotor excitation brush ignition. The analog signal reflects information such as the number and frequency of rotor excitation brush ignition. Based on this information, analysis and judgment are performed to determine whether demagnetization is necessary. Then, solutions are matched to the demagnetization signal, allowing the user to address the cause of the current demagnetization issue.

[0011] Therefore, the monitoring method of the generator excitation system used in this application can effectively detect generator overheating anomalies and resolve generator ignition anomalies.

[0012] Furthermore, S1 includes:

[0013] S1-1: Obtain the installation structure of the enclosed dark box where the generator excitation brush is located;

[0014] S1-2: Align the monitoring module with each rotor excitation brush according to the installation structure, and separate each monitoring module with an insulating plate;

[0015] S1-3: Connect the monitoring module to the control system, and receive the digital switching signal of the rotor excitation brush ignition and the analog signal of the rotor excitation brush ignition frequency monitored by the monitoring module through the control system.

[0016] Beneficial effects: The excitation system structure differs for each type of generator. To obtain the arcing status of the excitation brushes for different types of generators, the installation structure of the enclosed box containing the excitation brushes is obtained. Monitoring modules are then deployed according to the installation structure. Each monitoring module is aligned with each excitation brush to obtain the arcing status of each brush. The monitoring modules are separated by insulating plates to prevent other excitation brushes from affecting the arcing status of the currently aligned brush. Finally, the data obtained by the monitoring modules is transmitted to the control system for subsequent processing.

[0017] Furthermore, S2 includes:

[0018] S2-1: Preprocess the digital switching signal and the analog signal of the ignition frequency of the rotor excitation brush during ignition to generate the ignition frequency value and the ignition frequency intensity value of the rotor excitation brush, respectively.

[0019] S2-2: Obtain generator information and generate the sparking number threshold and sparking frequency intensity threshold of generator excitation brush based on the generator information;

[0020] S2-3: Compare the number of ignitions with the ignition number threshold, and compare the ignition frequency intensity with the ignition frequency intensity threshold to generate a comparison result;

[0021] S2-4: When judging whether the number of ignitions in the comparison result exceeds the ignition number threshold and whether the ignition frequency intensity value exceeds the ignition frequency intensity threshold, if the judgment result meets the preset conditions, the control system generates a demagnetization signal based on the judgment result.

[0022] Beneficial effects: The digital switching signal and analog signal of ignition frequency obtained from the monitoring module during excitation brush ignition are initial signal data. These data have problems such as missing data and unidentifiable data, and need to be preprocessed before they can be converted into readable values. The threshold values ​​used for comparison with these values ​​are generated based on the information of different generator models, such as generator power and power generation frequency. Different types of generators have different threshold values ​​for the number of ignitions and the intensity of the ignition frequency. During the comparison process, if the actual number of ignitions obtained from the monitoring module exceeds the threshold value for the number of ignitions, or the intensity of the ignition frequency exceeds the threshold value for the intensity of the ignition frequency, it indicates that the generator's excitation brush ignition is abnormal. The control system then generates a demagnetization signal, which can promptly notify the user and output the abnormal situation.

[0023] Furthermore, the preset conditions in S2-4 include the number of ignitions exceeding the ignition number threshold, the ignition frequency intensity exceeding the ignition frequency intensity threshold, or both the number of ignitions and the ignition frequency intensity exceeding their corresponding ignition number threshold and ignition frequency intensity threshold.

[0024] Beneficial effects: In this scheme, the judgment condition of the comparison result is set to generate a demagnetization signal if any value is abnormal, so as to make the judgment of the ignition abnormality of the generator excitation brush more accurate.

[0025] Furthermore, S3 includes:

[0026] S3-1: Obtain the demagnetization signal result and the ignition data of the generator excitation brush before demagnetization within a preset time period, construct a data window, and fill the data window with the ignition data;

[0027] S3-2: Obtain historical ignition data of the generator's excitation brushes, and use a data window to slide through the historical ignition data to obtain multiple historical ignition data that match the ignition data in the data window;

[0028] S3-3: After obtaining the data window of multiple matching historical ignition data, the solution is to generate a recommendation score for the solution and push it to the user.

[0029] Beneficial effects: In this solution, the occurrence of a demagnetization signal indicates an abnormality in the generator's excitation brush. To address these abnormalities, this application first generates a time window, such as 1 hour, and fills the time window with the excitation brush operating data for the hour preceding the occurrence of the demagnetization signal, i.e., the operating data of the generator's excitation system. Then, it retrieves the historical ignition data of the generator's excitation brush, which includes abnormalities that occurred during the past operation of the excitation brush and the solutions implemented by the user for those abnormalities. Subsequently, the time window is slid and matched within this historical ignition data, such as through similarity matching. In this way, multiple historical ignition anomaly data that meet the matching requirements and their corresponding solutions can be obtained. The solution with the highest similarity is then recommended and pushed to the user for selection, comparison, and adoption.

[0030] Furthermore, S3-1 includes:

[0031] S3-1-1: Obtain the ignition data of the generator excitation brush before demagnetization after the control system issues a demagnetization signal;

[0032] S3-1-2: Construct a data window for a preset time period and fill the data window with ignition data.

[0033] Beneficial effect: By constructing a time window, it is helpful to match and compare subsequent ignition data with historical data.

[0034] Furthermore, S3-2 includes:

[0035] S3-2-1: Obtain historical ignition data of the generator's excitation brushes;

[0036] S3-2-2: Slide the constructed data window through the historical ignition data and match the matching degree between the ignition data in the data window and the historical ignition data at each slide;

[0037] S3-2-3: Retain historical ignition data corresponding to data windows that exceed the matching degree threshold based on the matching degree.

[0038] Beneficial effects: By dividing historical ignition data into time windows according to its timeline and comparing them, it is possible to effectively obtain whether the excitation brush has the same type of abnormality in the historical timeline, and the solution to the abnormality.

[0039] Furthermore, S3-3 includes:

[0040] S3-3-1: Solutions for demagnetizing the generator excitation brushes after obtaining and retaining historical ignition data;

[0041] S3-3-2: Obtain historical operating data of the generator excitation brush, retrieve evaluation data based on the time nodes of the solutions in the retained historical ignition data, calculate the score based on the evaluation data, and push the recommendation to the user using the score.

[0042] Beneficial effects: For multiple matched solutions, a rating system is used to facilitate user viewing and comparison, making it easy for users to see the solution with the highest matching degree; while not eliminating the other solutions, it also makes it easier for users to compare the solutions.

[0043] Furthermore, it also includes S4: constructing a digital twin of the generator, displaying in real time the digital switching signals of the generator excitation brush ignition, the analog signals of the rotor excitation brush ignition frequency, and the operating status of the generator excitation brush through the digital twin, and implementing solutions after demagnetization by simulating the implementation in the generator's digital twin, and using the simulation results as the operation and maintenance strategy for the generator excitation brush.

[0044] Beneficial Effects: In this solution, existing monitoring methods rely solely on system or device alerts, such as audible and visual alarms. However, there are limited means to ascertain the actual current operating status of the equipment. To address this issue, this application combines existing digital twin technology to construct a digital twin of the generator. This digital twin presents the generator's operating status and the operation of the excitation brushes in real time. Furthermore, by controlling the digital twin, the excitation brushes of the generator can be controlled, greatly enhancing the user's understanding and control over the generator's operation. Attached Figure Description

[0045] Figure 1 This is a flowchart of an embodiment of the present invention. Detailed Implementation

[0046] The following detailed description illustrates the specific implementation method:

[0047] Example 1:

[0048] Example 1 is basically as shown in the appendix. Figure 1 As shown: A method for preventing sparking of generator excitation brushes, comprising:

[0049] S1: A monitoring module is installed at the rotor excitation brush of the generator according to a preset layout rule to acquire the digital switching signal when the rotor excitation brush ignites and the analog signal of the rotor excitation brush ignition frequency; wherein, S1 is implemented by the following steps:

[0050] First, obtain the installation structure of the enclosed enclosure containing the generator excitation brush. The installation structure of the enclosed enclosure containing the generator excitation brush varies depending on the type of generator. Therefore, obtaining the installation structure of the enclosed enclosure containing the generator excitation brush is very important, as it determines the installation method of the subsequent monitoring module.

[0051] Subsequently, the monitoring module is aligned with each rotor excitation brush according to the installation structure, and each monitoring module is separated from the others by an insulating plate. In this embodiment, the monitoring module is a sensor. In existing sensor technology, there are many types of sensors used in various technical fields, including the sensor used in this application to obtain the ignition frequency of the excitation brush. Specifically, multiple sensors in this application are installed in a closed dark box of the generator excitation brush, with the sensor's monitoring head aligned with each rotor excitation brush, and the sensors are separated from each other by an insulating plate. This ensures that the brightness and ignition frequency of the ignition of each rotor excitation brush can be obtained.

[0052] Finally, the monitoring module is connected to the control system. The control system receives the digital switching signal and the analog signal of the rotor excitation brush ignition frequency from the monitoring module. The brightness and ignition frequency of each rotor excitation brush acquired by the sensor are converted into electrical signals and transmitted to the control system. The electrical signals include a digital switching signal generated by the sensor based on the acquired ignition brightness and an analog signal generated based on the ignition frequency. Finally, the generated digital switching signal and analog signal are transmitted to the control system.

[0053] S2: After preprocessing the digital switching signal of the rotor excitation brush ignition and the analog signal of the rotor excitation brush ignition frequency, analyze and determine whether they exceed the preset signal threshold. If so, generate a demagnetization signal. The specific steps of S2 include:

[0054] First, the digital switching signal during rotor excitation brush ignition and the analog signal of ignition frequency are preprocessed to generate the ignition count value and the ignition frequency intensity value of the rotor excitation brush, respectively. In this embodiment, the digital switching signal generated when the generator excitation brush ignites is usually represented by Boolean values ​​of 0 and 1. Therefore, by preprocessing the digital switching signal and counting the number of times the digital switching signal is 1, the ignition count value of the generator excitation brush can be obtained.

[0055] Analog signals are frequency or current signals that represent the frequency or intensity of ignition. In this embodiment, the analog signal of the generator excitation brush ignition frequency is preprocessed to obtain the ignition frequency intensity value of the generator excitation brush.

[0056] Next, the generator information is obtained, and the sparking frequency threshold and sparking intensity threshold of the generator excitation brush are generated based on the generator information. Specifically, after obtaining the above-mentioned digital switch signals, analog signals, and sparking frequency and intensity values ​​used for comparison, they need to be compared with the thresholds to determine whether sparking abnormality has occurred. Specifically, the calculation of the sparking frequency threshold and sparking intensity threshold is obtained through the generator information, such as the generator model, service life, and component status, etc., and the sparking frequency threshold and sparking intensity threshold of the generator can be estimated based on this.

[0057] However, the generator ignition frequency and intensity thresholds obtained using the above method have limitations. This is because, although each generator may have the same model and lifespan, its usage scenarios differ. Therefore, in another embodiment of this invention, the generator ignition frequency and intensity thresholds are also obtained through generator operating data. Specifically:

[0058] Construct a data window with a preset time length and fill it with the generator excitation system operation data when the generator excitation brush first shows ignition.

[0059] The system obtains the fault nodes from the historical operating data of the generator's excitation system, extracts the operating data segment before the fault node, and matches it with the operating data in the real-time populated data window. If the match is successful, the number of ignitions in the operating data segment before the fault node is used as the ignition number threshold, and the ignition frequency intensity value is used as the ignition frequency intensity threshold.

[0060] Therefore, the ignition number threshold and ignition frequency intensity threshold obtained through the above method are more in line with the actual situation of each generator.

[0061] The ignition count value is then compared with the ignition count threshold, and the ignition frequency intensity value is compared with the ignition frequency intensity threshold to generate a comparison result. Finally, it is determined whether the ignition count value and the ignition frequency intensity value exceed the ignition frequency intensity threshold in the comparison result. If the judgment result meets the preset conditions, the control system generates a demagnetization signal based on the judgment result.

[0062] In this embodiment, the preset conditions include the number of ignitions exceeding the ignition number threshold, the ignition frequency intensity exceeding the ignition frequency intensity threshold, or both the number of ignitions and the ignition frequency intensity exceeding their corresponding ignition number threshold and ignition frequency intensity threshold. Therefore, if any one of the above conditions is met, it indicates that the generator excitation brush ignition is abnormal and timely demagnetization and maintenance are required.

[0063] S3: Match solutions based on the demagnetization signal results and push them to the user; S3 is implemented through the following steps:

[0064] S3-1: Obtain the demagnetization signal result and the ignition data for a preset time period before the generator excitation brush demagnetizes; construct a data window and fill the data window with the ignition data; wherein, S3-1 includes:

[0065] S3-1-1: Obtain the ignition data of the generator excitation brush before demagnetization after the control system issues a demagnetization signal;

[0066] S3-1-2: Construct a data window for a preset time period and fill the data window with ignition data.

[0067] In this embodiment, the control system is implemented using a relay protection device. The relay protection device issues a demagnetization signal based on the judgment of abnormal ignition of the generator excitation brush. Then, it acquires the ignition data of the generator excitation brush before demagnetization and constructs a data window. The data window is of time period length. After filling the data window with the ignition data within the time period, it is convenient to match the subsequent historical data.

[0068] S3-2: Obtain historical ignition data of the generator's excitation brushes, and use a data window to slide through the historical ignition data to obtain multiple historical ignition data that match the ignition data in the data window; S3-2 includes:

[0069] S3-2-1: Obtain historical ignition data of the generator's excitation brushes;

[0070] S3-2-2: Slide the constructed data window through the historical ignition data and match the matching degree between the ignition data in the data window and the historical ignition data at each slide;

[0071] S3-2-3: Retain historical ignition data corresponding to data windows that exceed the matching degree threshold based on the matching degree.

[0072] In this embodiment, by sliding the ignition data in the data window with the historical ignition data, multiple historical ignition data segments that match the requirements can be found. Then, the data after the data segments corresponding to the multiple historical ignition data that meet the matching requirements is extracted. If the data after the data segment contains maintenance or solution measures due to ignition abnormalities, then the data can be used as a requirement for subsequent processing.

[0073] S3-3: After obtaining a data window containing multiple matching historical ignition data points, the proposed solutions are implemented, and recommendations are generated and pushed to the user. S3-3 includes:

[0074] S3-3-1: Solutions for demagnetizing the generator excitation brushes after obtaining and retaining historical ignition data;

[0075] S3-3-2: Obtain historical operating data of the generator excitation brush, retrieve evaluation data based on the time nodes of the solutions in the retained historical ignition data, calculate the score based on the evaluation data, and push the recommendation to the user using the score.

[0076] In this embodiment, since there are multiple data segments of historical ignition data that match the ignition data in the data window, there are also multiple solutions. In order to obtain the best solution, it is necessary to evaluate it. In this application, the evaluation data source is to retrieve the solution evaluation data at the same time point as the solution from the historical operating data of the generator excitation brush. Based on the evaluation data, a score is calculated for the effect of each solution. The score is then used as the recommendation level to push to the user. In this embodiment, the score is calculated using a weighted summation method.

[0077] Therefore, the technical solution of this application addresses the problem of poor manual monitoring of generator excitation brush sparking. First, monitoring modules are deployed in the dark box where the generator excitation brushes are located. Each monitoring module is aligned with each rotor excitation brush, and the monitoring modules are separated by an insulating plate to ensure the accuracy of the monitored signals. Then, the digital switching signal of rotor excitation brush sparking and the analog signal of rotor excitation brush sparking frequency are preprocessed into numerical and intensity values, which are then compared with a set threshold to obtain the result of rotor excitation brush anomaly. Based on the anomaly result, in order to obtain the solution, the data window is matched with historical sparking data through sliding to obtain the solution corresponding to the historical sparking data that meets the matching requirements. Finally, the evaluation of the solution at the corresponding time point in the generator's historical operating data is used as a recommendation value and pushed to the user.

[0078] Example 2:

[0079] The difference between Example 2 and Example 1 is that Example 2 further includes S4: constructing a digital twin of the generator, displaying in real time the digital switching signals of the generator excitation brush ignition, the analog signals of the rotor excitation brush ignition frequency, and the operating status of the generator excitation brush through the digital twin, and simulating the implementation of demagnetization solutions in the generator's digital twin, using the simulation results as the operation and maintenance strategy for the generator excitation brush; the specific implementation steps are as follows:

[0080] Step 1: By deploying various types of sensors on the generator, the operating status of the generator excitation brush is comprehensively monitored. These include temperature sensors to monitor the operating temperature data of the brush; vibration sensors, installed on the brush bracket, to monitor abnormal vibrations during brush operation; camera units to acquire real-time images of the brush's surface wear; and digital sensors for acquiring digital switch signals and analog voltage sensors for acquiring analog signals, used in this solution to monitor the sparking of the generator excitation brush.

[0081] Step 2: Establish a wireless or wired communication network between each sensor and the control system to construct a digital twin application scenario for the generator, and preprocess the received sensor data; in this solution, the preprocessing of the acquired sensor data includes noise interference removal, data calibration, normalization, etc.

[0082] Step 3: Obtain the design drawings, physical parameters, and operating principles of the target generator, and construct a three-dimensional physical model of the generator. The three-dimensional physical model includes the excitation brush and its related mechanical and electrical structures, so that the three-dimensional model is highly consistent with the generator in terms of geometry and physical characteristics.

[0083] Step 4: Transmit the pre-processed sensor data to the digital twin system to simulate the generator digital twin, so that the generator digital twin can present the actual generator's operating status in real time.

[0084] Step 5: After the demagnetization signal appears, the solution selected by the user is simulated in real time on the digital twin, presenting the operating status of the generator after the solution is implemented, so that the user can keep track of the improvement of the generator after the solution is implemented.

[0085] Therefore, in this embodiment, the constructed digital twin of the generator can synchronize the generator's operation status in real time, including the ignition status of its excitation brushes, making it convenient for users to view in real time. At the same time, after determining the solution, the digital twin can also simulate and provide feedback on the solution. Based on the feedback results, on the one hand, its feasibility and effectiveness can be verified, and on the other hand, it can be intuitively displayed to the user, making it easier for the user to make decisions.

[0086] The above are merely embodiments of the present invention. Commonly known structures and characteristics are not described in detail here. Those skilled in the art are aware of all common technical knowledge in the field prior to the application date or priority date, are aware of all existing technologies in that field, and have the ability to apply conventional experimental methods prior to that date. Those skilled in the art can, under the guidance of this application, improve and implement this solution in combination with their own capabilities. Some typical known structures or methods should not be obstacles for those skilled in the art to implement this application. It should be noted that those skilled in the art can make several modifications and improvements without departing from the structure of the present invention. These should also be considered within the scope of protection of the present invention, and will not affect the effectiveness of the implementation of the present invention or the practicality of the patent. The scope of protection claimed in this application should be determined by the content of its claims, and the specific embodiments described in the specification can be used to interpret the content of the claims.

Claims

1. A method for preventing sparking of generator excitation brushes, characterized in that: include: S1: Install a monitoring module at the rotor excitation brush of the generator according to the preset layout rules to acquire the digital switch signal when the rotor excitation brush ignites and the analog signal of the rotor excitation brush ignition frequency. S2: After preprocessing the digital switch signal when the rotor excitation brush ignites and the analog signal of the rotor excitation brush ignition frequency, analyze and determine whether they exceed the preset signal threshold. If so, generate a demagnetization signal. S3: Match solutions based on the demagnetization signal results and push them to the user.

2. The method for preventing sparking of generator excitation brushes according to claim 1, characterized in that: S1 includes: S1-1: Obtain the installation structure of the enclosed dark box where the generator excitation brush is located; S1-2: Align the monitoring module with each rotor excitation brush according to the installation structure, and separate each monitoring module with an insulating plate; S1-3: Connect the monitoring module to the control system, and receive the digital switching signal of the rotor excitation brush ignition and the analog signal of the rotor excitation brush ignition frequency monitored by the monitoring module through the control system.

3. The method for preventing sparking of generator excitation brushes according to claim 2, characterized in that: S2 includes: S2-1: Preprocess the digital switching signal and the analog signal of the ignition frequency of the rotor excitation brush during ignition to generate the ignition frequency value and the ignition frequency intensity value of the rotor excitation brush, respectively. S2-2: Obtain generator information and generate the sparking number threshold and sparking frequency intensity threshold of generator excitation brush based on the generator information; S2-3: Compare the number of ignitions with the ignition number threshold, and compare the ignition frequency intensity with the ignition frequency intensity threshold to generate a comparison result; S2-4: When judging whether the number of ignitions in the comparison result exceeds the ignition number threshold and whether the ignition frequency intensity value exceeds the ignition frequency intensity threshold, if the judgment result meets the preset conditions, the control system generates a demagnetization signal based on the judgment result.

4. The method for preventing sparking of generator excitation brushes according to claim 3, characterized in that: The preset conditions in S2-4 include the number of ignitions exceeding the ignition number threshold, the ignition frequency intensity exceeding the ignition frequency intensity threshold, or both the number of ignitions and the ignition frequency intensity exceeding their corresponding ignition number threshold and ignition frequency intensity threshold.

5. The method for preventing sparking of generator excitation brushes according to claim 4, characterized in that: S3 includes: S3-1: Obtain the demagnetization signal result and the ignition data of the generator excitation brush before demagnetization within a preset time period, construct a data window, and fill the data window with the ignition data; S3-2: Obtain historical ignition data of the generator's excitation brushes, and use a data window to slide through the historical ignition data to obtain multiple historical ignition data that match the ignition data in the data window; S3-3: After obtaining the data window of multiple matching historical ignition data, the solution is to generate a recommendation score for the solution and push it to the user.

6. The method for preventing sparking of generator excitation brushes according to claim 5, characterized in that: S3-1 includes: S3-1-1: Obtain the ignition data of the generator excitation brush before demagnetization after the control system issues a demagnetization signal; S3-1-2: Construct a data window for a preset time period and fill the data window with ignition data.

7. A method for preventing sparking of generator excitation brushes according to claim 6, characterized in that: S3-2 includes: S3-2-1: Obtain historical ignition data of the generator's excitation brushes; S3-2-2: Slide the constructed data window through the historical ignition data and match the matching degree between the ignition data in the data window and the historical ignition data at each slide; S3-2-3: Retain historical ignition data corresponding to data windows that exceed the matching degree threshold based on the matching degree.

8. The method for preventing sparking of generator excitation brushes according to claim 7, characterized in that: S3-3 includes: S3-3-1: Solutions for demagnetizing the generator excitation brushes after obtaining and retaining historical ignition data; S3-3-2: Obtain historical operating data of the generator excitation brush, retrieve evaluation data based on the time nodes of the solutions in the retained historical ignition data, calculate the score based on the evaluation data, and push the recommendation to the user using the score.

9. A method for preventing sparking of generator excitation brushes according to claim 8, characterized in that: It also includes S4: Constructing a digital twin of the generator, displaying in real time the digital switching signals of the generator excitation brush ignition, the analog signals of the rotor excitation brush ignition frequency, and the operating status of the generator excitation brush through the digital twin, and implementing solutions after demagnetization by simulating the implementation of the generator's digital twin, and using the simulation results as the operation and maintenance strategy for the generator excitation brush.

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