System for analyzing and processing reasons for high voltage of shaft of gas turbine generator

Abstract

The invention discloses a system for analyzing and processing reasons for high shaft voltage of a gas turbine generator. The system comprises a monitoring module, an analysis control module, an execution processing module, a data communication module and a power supply module. The limitation of traditional single-point detection is broken through through high-frequency sampling and multi-parameter fusion design, electromagnetic interference and real faults can be accurately distinguished through data cross validation of the shaft voltage sensor and the temperature sensor, and the false alarm rate is reduced; and meanwhile, an automatic execution processing module is arranged, the maintenance efficiency is remarkably improved, the single-time processing time of an automatic grinding mechanism is shortened compared with manual work, the grinding depth precision is higher, and excessive damage to the large shaft is avoided. Through the modular design, the processing cycle of the shaft voltage abnormity is shortened, the downtime of equipment is reduced, the annual maintenance cost is reduced, and remarkable economic benefits and technical popularization values are achieved.

Description

Technical Field

[0001] This invention relates to the field of gas turbine generator maintenance technology, specifically to a system for analyzing and processing the causes of high shaft voltage in gas turbine generators. Background Technology

[0002] Currently, handling high shaft voltage issues in gas turbine generators primarily relies on regular manual inspections and maintenance, such as checking carbon brush contact resistance, cleaning oxidized areas, and removing oil stains. A typical process includes: sanding rusted areas on the main shaft, cleaning contact surfaces with alcohol, inspecting the oxidation of the carbon brush braids and signal transmission connections, and addressing oil film issues caused by turning gear leaks. Existing systems lack real-time monitoring and intelligent analysis capabilities, relying on human experience for judgment, resulting in delayed response, low maintenance efficiency, and a high false alarm rate. Furthermore, the transmission circuit is susceptible to electromagnetic interference and lacks automated processing mechanisms, making it difficult to quickly pinpoint the root cause and implement precise intervention when shaft voltage anomalies occur. Summary of the Invention

[0003] To address the problems of existing systems lacking real-time monitoring and intelligent analysis capabilities, relying on human experience for judgment, resulting in delayed response, low maintenance efficiency, high false alarm rate, and transmission circuits being susceptible to electromagnetic interference, and lacking automated processing mechanisms, which prevents rapid identification of the root cause and precise intervention when shaft voltage is abnormal, this invention provides a gas turbine generator shaft voltage high cause analysis and processing system, including a monitoring module, an analysis and control module, an execution processing module, a data communication module, and a power supply module; The monitoring module is used to monitor and collect the shaft voltage signal, carbon brush contact status, and large shaft surface environment data of the gas turbine generator in real time; the analysis and control module is used to receive the data information acquired by the monitoring module, process the acquired data information, and generate control command signals; the execution processing module is used to perform physical intervention operations on the gas turbine generator according to the control command signals; the data communication module is used to transmit the data information of the monitoring module, analysis and control module, and execution processing module to the host computer in real time, and receive remote control commands from the host computer; the power supply module is used to supply power to the monitoring module, analysis and control module, execution processing module, and data communication module.

[0004] Furthermore, the monitoring module specifically includes: an axis voltage sensor, a temperature sensor, and an optical detection unit; The shaft voltage sensor is installed at the main shaft of the gas turbine generator; the temperature sensor is embedded in the carbon brush holder and is used to detect temperature changes during carbon brush operation; the optical detection unit specifically includes a high-definition camera and an infrared light source, used to monitor the surface condition of the main shaft of the gas turbine generator in real time.

[0005] Furthermore, the surface condition of the gas turbine generator shaft specifically involves monitoring and identifying areas of oxidation, oil stains, or rust on the shaft surface.

[0006] Furthermore, the execution processing module specifically includes: an automatic polishing mechanism, a pressure regulating device, and a cleaning unit; The automatic polishing mechanism specifically includes: a micro motor, a sandpaper wheel, and a moving robotic arm. The sandpaper wheel is mounted on the top of the moving robotic arm. According to the control command signal, the micro motor is activated to drive the moving robotic arm to move to the rusted and oxidized area of ​​the gas turbine generator shaft for automatic polishing. The pressure regulating device is specifically a stepper motor, which adjusts the tightness of the carbon brush plates. The cleaning unit specifically includes: an alcohol spray and a wiping robotic arm, used to remove oil stains and oxidation residues from the gas turbine generator shaft.

[0007] Furthermore, the automatic polishing mechanism also includes: a position feedback sensor, an adaptive speed control unit, an ultrasonic thickness sensor, and a hardness sensor; the position feedback sensor detects the position of the automatic polishing mechanism and obtains the contact pressure between the sandpaper wheel and the main shaft of the gas turbine generator in real time; the adaptive speed control unit is used to automatically adjust the polishing speed according to the degree of oxidation; the ultrasonic thickness sensor is used to detect the thickness of the oxide layer; and the hardness sensor is used to detect the hardness of the oxide layer.

[0008] Furthermore, the analysis and control module specifically includes: a data analysis submodule, a data storage submodule, and a logic instruction control submodule; The data analysis submodule is used to perform pattern recognition on the acquired data information, distinguish between normal signals and abnormal signals, and analyze and identify the abnormal type based on the abnormal signals and the fault mode library. The data storage submodule is used to store historical data and a fault mode library; The logic instruction control submodule is used to generate corresponding control instructions based on the analyzed and identified anomaly type, and then transmit the generated control instructions to the execution processing module.

[0009] Furthermore, the power supply module adopts industrial power supply plus solar auxiliary power supply; wherein, the industrial power supply adopts 24VDC industrial power supply, and the solar auxiliary power supply specifically adopts 100W photovoltaic panel.

[0010] Furthermore, the power supply module also includes a backup power supply, which specifically adopts a lithium iron phosphate battery pack with a capacity of 200Ah.

[0011] Furthermore, the polishing time of the automatic polishing mechanism is calculated based on the oxidation area of ​​the gas turbine generator, using the formula: T = 0.2 × oxidation area (mm). 2 Where T represents the polishing time.

[0012] This invention provides a system for analyzing and processing the causes of high shaft voltage in gas turbine generators, which has the following beneficial effects: This invention overcomes the limitations of traditional single-point detection through high-frequency sampling and multi-parameter fusion design. Cross-verification of data from shaft voltage and temperature sensors accurately distinguishes between electromagnetic interference and genuine faults, reducing false alarm rates. Simultaneously, the automated processing module significantly improves maintenance efficiency; the automatic grinding mechanism reduces processing time per cycle compared to manual methods and achieves higher grinding depth accuracy, preventing excessive damage to the shaft. Through modular design, this invention shortens the processing cycle for shaft voltage anomalies, reduces equipment downtime, and lowers annual maintenance costs, demonstrating significant economic benefits and technological promotion value. Attached Figure Description

[0013] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the structures shown in these drawings without creative effort.

[0014] Figure 1 This is a schematic diagram of the system structure provided by the present invention. Detailed Implementation

[0015] It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the scope of the invention.

[0016] The following detailed description of the implementation method of the present invention is in conjunction with the accompanying drawings. The description is only a partial embodiment and not all embodiments. For clarity, representations and descriptions unrelated to the present invention are omitted in the drawings and description.

[0017] To provide a clearer understanding of the technical features, objectives, and beneficial effects of this invention, the following detailed description of the technical solution is provided. Obviously, the described embodiments are only a portion of the embodiments of this invention, not all of them, and should not be construed as limiting the scope of implementation of this invention. Based on the embodiments of this invention, all other embodiments obtained by those skilled in the art without inventive effort are within the protection scope of this invention.

[0018] This invention provides a system for analyzing and processing the causes of high shaft voltage in gas turbine generators, such as... Figure 1 As shown, it includes a monitoring module, an analysis and control module, an execution processing module, a data communication module, and a power supply module; The monitoring module is used to monitor and collect the shaft voltage signal, carbon brush contact status, and large shaft surface environment data of the gas turbine generator in real time; the analysis and control module is used to receive the data information acquired by the monitoring module, process the acquired data information, and generate control command signals; the execution processing module is used to perform physical intervention operations on the gas turbine generator according to the control command signals; the data communication module is used to transmit the data information of the monitoring module, analysis and control module, and execution processing module to the host computer in real time, and receive remote control commands from the host computer; the power supply module is used to supply power to the monitoring module, analysis and control module, execution processing module, and data communication module.

[0019] The monitoring module specifically includes: a shaft voltage sensor, a temperature sensor, and an optical detection unit. The shaft voltage sensor is installed at the main shaft of the gas turbine generator. A high-frequency sampling circuit is used to monitor the shaft voltage waveform in real time. The shaft voltage sensor employs a high-frequency sampling circuit with a sampling rate of 10kHz to monitor the shaft voltage waveform in real time. An internal filtering algorithm eliminates electromagnetic interference, and the data is transmitted to the analysis and control module via a CAN bus. The sensor is installed at the non-drive end of the generator main shaft, directly contacting the shaft surface to ensure signal accuracy.

[0020] A temperature sensor is embedded in the carbon brush holder to detect temperature changes during carbon brush operation. The PT100 platinum resistance temperature sensor is embedded inside the carbon brush holder to monitor the carbon brush operating temperature in real time, ranging from -20℃ to 150℃, with temperature data uploaded every 5 seconds. A level one alarm is triggered when the temperature exceeds 80℃.

[0021] The optical inspection unit specifically includes a high-definition camera and an infrared light source, used for real-time monitoring of the surface condition of the gas turbine generator's main shaft. The optical inspection unit contains a 5-megapixel high-definition camera and an 850nm infrared light source, automatically scanning the main shaft surface every 30 minutes. Image processing employs an edge detection algorithm (Canny algorithm) to identify oxidized areas, with a color difference ΔE > 5 and oil stain reflectivity < 30%, achieving a recognition accuracy of 0.1mm. 2 .

[0022] The specific condition of the main shaft surface of the gas turbine generator is as follows: monitoring and identifying areas of oxidation, oil stains, or rust on the main shaft surface.

[0023] The execution processing module specifically includes: an automatic polishing mechanism, a pressure regulating device, and a cleaning unit. The automatic polishing mechanism specifically includes a micro motor, a sandpaper wheel, and a moving robotic arm. The sandpaper wheel is mounted on the top of the robotic arm. Based on control commands, the micro motor drives the robotic arm to move to the rusted and oxidized area of ​​the gas turbine generator shaft for automatic polishing. A three-degree-of-freedom robotic arm is used, equipped with a 400-mesh fiber sandpaper wheel. The polishing pressure is controlled by a piezoelectric sensor with an accuracy of ±0.01N. The polishing time for each session is automatically calculated based on the oxidized area using the formula: T = 0.2 × area (mm²). 2 It automatically resets after polishing.

[0024] The pressure regulating device is specifically a stepper motor, which adjusts the tightness of the carbon brush pressure plate. The stepper motor drives the carbon brush pressure plate with an adjustment accuracy of 0.05N, monitors the contact resistance in real time, and has a range of 0-100mΩ. When the resistance value is >10mΩ, the pressure is automatically increased, and monitoring is performed continuously for 30 seconds after each adjustment to ensure stability.

[0025] The cleaning unit specifically includes an alcohol sprayer and a wiping robotic arm, used to remove oil stains and oxidation residues from the main shaft of the gas turbine generator. The alcohol sprayer uses a piezoelectric atomizing nozzle with a flow control accuracy of ±0.1 ml / min. The wiping robotic arm is equipped with non-woven fabric rollers, and its rotation speed is automatically adjusted according to the viscosity of the oil stains, ranging from 50 to 200 rpm.

[0026] The automatic polishing mechanism also includes: a position feedback sensor, an adaptive speed control unit, an ultrasonic thickness sensor, and a hardness sensor; the position feedback sensor detects the position of the automatic polishing mechanism and obtains the contact pressure between the sandpaper wheel and the main shaft of the gas turbine generator in real time; the adaptive speed control unit is used to automatically adjust the polishing speed according to the degree of oxidation; the ultrasonic thickness sensor is used to detect the thickness of the oxide layer; and the hardness sensor is used to detect the hardness of the oxide layer.

[0027] The degree of oxidation can usually be classified based on the characteristics of the oxidation products, the thickness of the oxide layer, and the factors affecting material properties. The specific classification method is as follows: 1. Mild oxidation: The material surface undergoes a slight color change, with the appearance of a light-colored oxide film. Specifically, the metal surface may simply lose its original luster, exhibiting a slightly matte finish. For example, when iron is lightly oxidized, a thin yellow or brown film may form on its surface. At this stage, the oxide layer is relatively thin, typically between a few nanometers and tens of nanometers. This thickness of oxide layer has little impact on the material's basic properties, but it may affect the material's aesthetics and some surface-related properties, such as conductivity and corrosion resistance.

[0028] Set the grinding speed to 300-500 rpm. Since the light oxide layer is thin and relatively tightly bonded to the substrate, a slightly faster speed can improve work efficiency while ensuring grinding effectiveness. The hardness of the light oxide layer is relatively low, requiring less grinding force. A faster speed allows the grinding tool to quickly remove the oxide layer, while avoiding oxide residue or uneven grinding caused by excessively slow speeds.

[0029] 2. Moderate oxidation: The surface color of the material changes significantly, with the oxide film darkening and potentially developing noticeable rust spots or oxidation marks. For example, when copper is moderately oxidized, the surface will show greenish copper rust, while iron will develop obvious reddish-brown rust. The oxide layer thickness is generally between tens and hundreds of nanometers. At this stage, the oxide layer begins to affect the material's properties, such as reducing its strength and toughness.

[0030] The grinding speed should be 200-300 rpm. With moderate oxide layers, both the thickness and hardness increase, requiring a slight reduction in speed to ensure grinding quality. Excessive speed may lead to uneven oxide layer removal or even damage to the substrate material. A moderate speed allows the grinding tool to better control the grinding force, removing the oxide layer evenly while minimizing damage to the substrate.

[0031] 3. Severe oxidation: Severe surface discoloration occurs, and the oxide layer becomes rough and porous, potentially leading to the accumulation of large amounts of rust or oxidation products. For example, metals exposed to humid environments for extended periods may develop thick layers of rust, even forming holes and corrosion pits. The oxide layer thickness can reach hundreds of nanometers or even millimeters. Severe oxidation significantly reduces material performance, drastically decreasing its strength, hardness, and other mechanical properties, severely impacting its service life and safety.

[0032] The grinding speed should be 100-200 rpm. Heavy oxide layers are porous and thick, requiring slow grinding to avoid large pieces of oxide peeling off and excessive damage to the substrate. A slow speed allows the grinding tool to gradually remove the oxide layer while also compacting it, reducing the splashing of oxide fragments. Furthermore, a slower speed helps to detect damage to the substrate material in a timely manner, allowing for appropriate repair measures to be taken.

[0033] During polishing, ultrasonic thickness and hardness sensors are used to monitor the oxidation level of the material surface in real time. The oxide layer thickness sensor measures the thickness of the oxide layer using ultrasonic sensors, while the hardness sensor detects the hardness of the oxide layer. An optical detection unit uses a high-definition camera to detect the size of the polishing area, and the sensors transmit the detected oxidation level data to the control system. The control system adjusts the polishing tool's rotation speed based on a preset correlation between oxidation level and polishing speed. The polishing time is also adjusted according to the size of the polishing area.

[0034] An integrated pressure sensor monitors the carbon brush contact force in real time and forms a closed-loop control with the analysis and control module to dynamically adjust the clamping force to eliminate poor contact.

[0035] The communication module supports 4G / 5G and industrial Ethernet protocols, sending real-time data to the cloud monitoring platform (i.e., host computer) and receiving remote commands; the platform provides a visual interface to display shaft voltage trends, alarm logs and processing records.

[0036] The analysis and control module specifically includes: a data analysis submodule, a data storage submodule, and a logic instruction control submodule. The data analysis submodule is used to perform pattern recognition on the acquired data information, distinguish between normal and abnormal signals, and analyze and identify the abnormal type based on the abnormal signals and the fault mode library.

[0037] The data storage submodule is used to store historical data and a fault mode library.

[0038] The logic instruction control submodule is used to generate corresponding control instructions based on the analyzed and identified exception types, and then transmit the generated control instructions to the execution processing module.

[0039] The power supply module adopts industrial power supply plus solar auxiliary power supply; the industrial power supply adopts 24VDC industrial power supply, and the solar auxiliary power supply adopts 100W photovoltaic panel; it also includes a backup power supply, which adopts lithium iron phosphate battery pack with a capacity of 200Ah; it is also equipped with a voltage regulation circuit to ensure continuous operation of the system when the power in the factory fluctuates, and can maintain the system operation for ≥8 hours when the main power is interrupted. The voltage regulation circuit adopts a three-stage filtering design, and the output voltage fluctuation is controlled within ±1%.

[0040] Example 1: Raw data collected by the monitoring module is transmitted to the analysis and control module via an RS-485 bus. After being parsed by the processor, control commands are generated. The commands are sent to the execution module via the CANopen protocol, while status data is uploaded to the cloud via the communication module. The entire data stream is scheduled using a real-time operating system (FreeRTOS) to ensure a response time of <100ms.

[0041] Taking oxidation treatment as an example: the optical detection unit detects the oxidation area (coordinates X:120, Y:75); the analysis and control module verifies the shaft voltage data (instantaneous value 0.6V); the execution command is triggered: "the grinding mechanism moves to (120,75) - pressure 0.3MPa - grinding time 15s"; after grinding is completed, the optical unit re-inspects, and if the oxidation residue is >5%, a secondary processing is started; the final result is entered into the storage unit and a maintenance report is generated.

[0042] When a sudden increase in shaft voltage (>1.2V) is detected, the system initiates a three-level response: Level 1: The pressure regulating device increases the contact force to 120% of the rated value; Level 2: The cleaning unit is sprayed with alcohol to eliminate potential electric arcs; Level 3: Send a shutdown suggestion via the communication module and trigger an on-site audible and visual alarm.

[0043] Monthly maintenance plans are automatically generated, including: carbon brush wear prediction: calculating the remaining life based on historical data, formula: life = initial length - wear rate × running hours; spare parts warning: automatically notifying the warehouse when the remaining carbon brush length is <15mm; remote calibration: supporting manufacturers to perform online calibration of sensors via VPN connection.

[0044] Example 2: Automatic handling scenario for shaft voltage anomalies A high shaft voltage alarm (instantaneous value 0.8V) occurred during the startup of the gas turbine generator. The system automatically handles the situation according to the following procedure: During real-time monitoring, the shaft voltage sensor detected a continuous voltage exceeding the limit (>0.5V), while the temperature sensor showed a normal carbon brush temperature of 65℃. The optical detection unit immediately initiated a specialized scan and discovered an area of ​​approximately 15mm² on the large shaft contact surface. 2 Oxidized plaques.

[0045] During the analysis and diagnosis phase, the embedded processor compares the fault feature library and confirms that oxidation caused poor contact with a confidence level of 92%. The control logic unit then generates a sequence of processing instructions.

[0046] During the automated processing stage, the three-degree-of-freedom robotic arm precisely positions itself to the oxidized area, and the fiber sandpaper wheel polishes at 200 rpm for 12 seconds, with a 3-second safety margin. Simultaneously, the pressure regulating device increases the carbon brush contact force to 110% of the rated value. During the effectiveness verification phase, optical re-inspection showed that the oxidation area had decreased to 1.2 mm. 2 The system meets safety standards, the shaft voltage returns to the normal range of 0.3V, and the system automatically generates a processing report and uploads it to the cloud.

[0047] Example 3: Preventive Maintenance Scenario Based on historical data, the system predicted that the carbon brushes of generator No. 4 were about to reach their wear threshold and initiated a preventative maintenance procedure: During the predictive analysis phase, the storage unit statistics showed that the carbon brush had been running for 5980 hours. Based on the temperature-wear curve, the machine learning model predicted that the remaining lifespan was only 72 hours. The system automatically generated an early warning work order and pushed it to the maintenance personnel's handheld terminal.

[0048] During the collaborative maintenance phase, maintenance personnel confirm the preventative replacement via a mobile app. The pressure regulator automatically releases the carbon brush pressure, a robotic arm assists in removing the old carbon brush, and after installing the new carbon brush, the pressure is automatically calibrated to the optimal value. During the parameter optimization phase, based on historical operating data, with an average temperature of 68℃ and humidity of 45%, the system automatically sets the new carbon brush pressure value to 0.28MPa (5% lower than the standard value), establishes a personalized wear model for the new carbon brush, and enters it into the database.

[0049] This invention demonstrates multi-dimensional advantages in practical applications: In the monitoring stage, high-frequency sampling and multi-parameter fusion design overcome the limitations of traditional single-point detection. Cross-verification of data from shaft voltage and temperature sensors accurately distinguishes between electromagnetic interference and actual faults, reducing false alarm rates. The automated operation of the processing module significantly improves maintenance efficiency; the automatic grinding mechanism reduces processing time per cycle compared to manual methods and achieves higher grinding depth accuracy, avoiding excessive damage to the large shaft. The 4G / 5G dual-mode design of the communication module ensures reliable data transmission. The solar-assisted power supply solution of the power management unit, as tested, can maintain system operation for more than 5 days under continuous cloudy and rainy weather, solving the problem of unstable power supply in remote factory areas. Through modular design, this system shortens the processing cycle for shaft voltage anomalies, reduces equipment downtime, and lowers annual maintenance costs, demonstrating significant economic benefits and technological promotion value.

[0050] The above description is merely a preferred embodiment of the present invention. It should be understood that the present invention is not limited to the forms disclosed herein and should not be construed as excluding other embodiments. It can be used in various other combinations, modifications, and environments, and can be altered within the scope of the concept described herein through the above teachings or related technologies or knowledge. Modifications and variations made by those skilled in the art that do not depart from the spirit and scope of the present invention should be within the protection scope of the appended claims.

Claims

1. A system for analyzing and processing the causes of high shaft voltage in a gas turbine generator, characterized in that, It includes a monitoring module, an analysis and control module, an execution and processing module, a data communication module, and a power supply module; The monitoring module is used to monitor and collect the shaft voltage signal, carbon brush contact status, and large shaft surface environment data of the gas turbine generator in real time. The analysis and control module is used to receive data information acquired by the monitoring module, process the acquired data information, and generate control command signals; The execution processing module is used to perform physical intervention operations on the gas turbine generator according to the control command signal; The data communication module is used to transmit data information from the monitoring module, analysis and control module and execution processing module to the host computer in real time, and to receive remote control commands from the host computer. The power supply module is used to supply power to the monitoring module, analysis and control module, execution and processing module, and data communication module.

2. The system for analyzing and processing the causes of high shaft voltage in a gas turbine generator according to claim 1, characterized in that, The monitoring module specifically includes: an axis voltage sensor, a temperature sensor, and an optical detection unit; The shaft voltage sensor is installed at the main shaft of the gas turbine generator; the temperature sensor is embedded in the carbon brush holder and is used to detect temperature changes during carbon brush operation; the optical detection unit specifically includes a high-definition camera and an infrared light source, used to monitor the surface condition of the main shaft of the gas turbine generator in real time.

3. The system for analyzing and processing the causes of high shaft voltage in a gas turbine generator according to claim 2, characterized in that, The specific condition of the gas turbine generator shaft surface is as follows: monitoring and identifying areas of oxidation, oil stains, or rust on the shaft surface.

4. The system for analyzing and processing the causes of high shaft voltage in a gas turbine generator according to claim 3, characterized in that, The execution processing module specifically includes: an automatic polishing mechanism, a pressure regulating device, and a cleaning unit; The automatic polishing mechanism specifically includes: a micro motor, a sandpaper wheel, and a moving robotic arm. The sandpaper wheel is mounted on the top of the moving robotic arm. According to the control command signal, the micro motor is activated to drive the moving robotic arm to move to the rusted and oxidized area of ​​the gas turbine generator shaft for automatic polishing. The pressure regulating device is specifically a stepper motor, which adjusts the tightness of the carbon brush plates. The cleaning unit specifically includes: an alcohol spray and a wiping robotic arm, used to remove oil stains and oxidation residues from the gas turbine generator shaft.

5. The system for analyzing and processing the causes of high shaft voltage in a gas turbine generator according to claim 4, characterized in that, The automatic polishing mechanism further includes: a position feedback sensor, an adaptive speed control unit, an ultrasonic thickness sensor, and a hardness sensor; the position feedback sensor detects the position of the automatic polishing mechanism and obtains the contact pressure between the sandpaper wheel and the main shaft of the gas turbine generator in real time; the adaptive speed control unit is used to automatically adjust the polishing speed according to the degree of oxidation; the ultrasonic thickness sensor is used to detect the thickness of the oxide layer; and the hardness sensor is used to detect the hardness of the oxide layer.

6. The system for analyzing and processing the causes of high shaft voltage in a gas turbine generator according to claim 1, characterized in that, The analysis and control module specifically includes: a data analysis submodule, a data storage submodule, and a logic instruction control submodule; The data analysis submodule is used to perform pattern recognition on the acquired data information, distinguish between normal signals and abnormal signals, and analyze and identify the abnormal type based on the abnormal signals and the fault mode library. The data storage submodule is used to store historical data and a fault mode library; The logic instruction control submodule is used to generate corresponding control instructions based on the analyzed and identified anomaly type, and then transmit the generated control instructions to the execution processing module.

7. The system for analyzing and processing the causes of high shaft voltage in a gas turbine generator according to claim 1, characterized in that, The power supply module adopts industrial power supply plus solar auxiliary power supply; wherein, the industrial power supply adopts 24VDC industrial power supply, and the solar auxiliary power supply specifically adopts 100W photovoltaic panel.

8. The system for analyzing and processing the causes of high shaft voltage in a gas turbine generator according to claim 7, characterized in that, The power supply module also includes a backup power supply, which specifically uses a lithium iron phosphate battery pack with a capacity of 200Ah.

9. The system for analyzing and processing the causes of high shaft voltage in a gas turbine generator according to claim 5, characterized in that, The polishing time of the automatic polishing mechanism is calculated based on the oxidation area of ​​the gas turbine generator, using the formula: T = 0.2 × oxidation area (mm). 2 Where T represents the polishing time.

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