Monitoring device for dissolved gas in transformer oil based on intelligent sensor detection

Abstract

The invention belongs to the technical field of monitoring of dissolved gas in transformer oil, particularly relates to a monitoring device for dissolved gas in transformer oil based on intelligent sensor detection, and provides the following scheme: the monitoring device comprises a sampling unit, a gas separation unit, an intelligent sensor detection unit, a data processing and control unit, a communication unit and a power supply unit; the intelligent sensor detection unit is provided with a detector box, a plurality of cabin pipes arranged in parallel are arranged in the detector box, and intelligent gas sensors are installed in the cabin pipes; a temperature compensation module and a humidity compensation module are integrated in the intelligent gas sensor; and a dispersing piece is further arranged on the side, facing the separator, of the intelligent gas sensor in the cabin pipe. According to the intelligent gas sensor, the temperature and humidity compensation module is arranged in the intelligent gas sensor, so that the detection sensitivity and the measurement precision of low-concentration characteristic gas are greatly improved, the micro servo motor is used for actively adjusting the dispersion part to uniformly disperse gas flow, and the stability and the reliability of monitoring data are ensured.

Description

Technical Field

[0001] This invention relates to the field of dissolved gas monitoring technology in transformer oil, and more particularly to a dissolved gas monitoring device in transformer oil based on intelligent sensor detection. Background Technology

[0002] Oil-immersed transformers are core equipment in power systems. Under the action of heat and electrical stress, the insulating oil inside the transformer decomposes to produce characteristic gases such as H2, CH4, C2H6, C2H4, and C2H2. The concentration and type of these gases directly reflect the insulation condition and fault type of the transformer.

[0003] In existing technologies for online monitoring of dissolved gases in transformer oil, a portion of the oil is sampled and separated using membrane separation or vacuum degassing techniques. The characteristic gases in the separated gases are then monitored. However, when the separated gases enter the detection area, they are prone to settling, accumulation, or uneven flow rates, leading to fluctuations in the detection data of the intelligent gas sensor, especially in high humidity environments. Summary of the Invention

[0004] Based on the technical problems in the background art, the present invention proposes a device for monitoring dissolved gases in transformer oil based on intelligent sensor detection.

[0005] This invention proposes a device for monitoring dissolved gases in transformer oil based on intelligent sensor detection. It includes a sampling unit, a gas separation unit, an intelligent sensor detection unit, a data processing and control unit, a communication unit, and a power supply unit. The sampling unit extracts oil samples from the transformer oil tank. The gas separation unit is equipped with a separator to separate dissolved gases from the oil sample. The intelligent sensor detection unit has a detector box containing multiple parallel chambers, each housing an intelligent gas sensor. A water bath sleeve is located near the separator end of each chamber. The intelligent gas sensor integrates a sensitive element, signal conditioning circuit, temperature compensation module, humidity compensation module, A / D loop module, and microprocessor. A dispersion element is also located inside the chamber on the side of the intelligent gas sensor facing the separator, connected to a micro servo motor. The data processing and control unit uses a high-performance microcontroller to receive digital signals output from the intelligent sensor detection unit and perform data fusion, analysis, and processing. The communication unit employs both wired and wireless communication. The power supply unit uses a dual-power supply mode, including AC power and a backup DC power supply.

[0006] Preferably, the dispersing component is provided with a dispersing head, the top and bottom of which are left with gaps between themselves and the inner wall of the chamber tube. The side of the dispersing head facing the separator is configured as an outwardly arched arc structure. Both ends of the dispersing head are fixed with rotating shafts, and the outer wall of the rotating shafts is rotatably connected to the chamber tube. One of the rotating shafts is connected to a micro servo motor. Fins are fixed at the top and bottom of the dispersing head, and the fins are located between the rotating shafts and the arc structure.

[0007] Preferably, the arc-shaped structure of the dispersing head has air grooves at both the top and bottom, with the air grooves facing the fins vertically upwards.

[0008] Preferably, a temperature and humidity detection module 1 and an airflow intensity detection module 1 are provided at the middle position on the side of the dispersing head away from the intelligent gas sensor, and a temperature and humidity detection module 2 and an airflow intensity detection module 2 are installed at the top and bottom of the dispersing head, where the fins are close to the intelligent gas sensor.

[0009] Preferably, the gas monitoring and control method includes the following steps: Step 1: Initialization and calibration, establishing a mapping relationship between "motor drive signal - deflection angle" and key thresholds; Step 2: Synchronously collecting temperature and humidity, airflow intensity, and deflection head angle data of the dispersion component, filtering and fusing them, performing noise filtering and baseline correction on the collected data, and comprehensively calculating the airflow stability index and temperature and humidity adaptation index; Step 3: Jointly determining the state based on the airflow stability index S and the temperature and humidity adaptation index H; Step 4: Executing control actions according to the joint determination results at three levels: mild, moderate, and severe. Mild control adjusts the deflection angle of the dispersion head, moderate control adjusts the water bath sleeve temperature, and severe control simultaneously executes dispersion head reset, airflow disturbance, water bath temperature adjustment, and alarm sending; Step 5: Resetting and recording key data.

[0010] Preferably, in step one, the temperature and humidity difference thresholds are: temperature difference ΔT≤2℃, relative humidity difference ΔRH≤5%; and the airflow intensity difference thresholds are: airflow velocity difference Δv≤0.1m / s, and airflow stable residence time≥2s.

[0011] Preferably, in step two, the airflow stability index S = 0.6 × (1 - Δv / 0.1) + 0.4 × (1 - |θ| / 15), and the temperature and humidity compatibility index H = 0.7 × (1 - ΔT / 2) + 0.3 × (1 - ΔRH / 5), where θ is the deflection angle of the dispersion head.

[0012] Preferably, in step four, mild control is a deflection of the dispersion head by ±3°, moderate control is a water bath temperature correction of 0.1°C every 100ms, and severe control includes dispersion head reset, airflow disturbance, and alarm transmission.

[0013] Preferably, in step five, the recorded data includes timestamps, temperature and humidity differences, airflow intensity differences, dispersion head angles, compensation amounts, control levels, and results, which are stored in non-volatile memory and can be uploaded to the monitoring center.

[0014] The beneficial effects of this invention are as follows: In this invention, by incorporating a temperature and humidity compensation module into the intelligent gas sensor, the detection sensitivity and measurement accuracy for low-concentration characteristic gases are significantly improved. At the same time, the influence of environmental factors on the detection results is effectively reduced. Furthermore, a micro servo motor is used to actively adjust the dispersion component to uniformly disperse the airflow, ensuring the stability and reliability of the monitoring data.

[0015] In this invention, by optimizing the mechanical structure design of the dispersed components and constructing a closed-loop intelligent control system of "sensing-judgment-control-recording", active regulation of airflow stability, precise compensation of temperature and humidity, and traceability of monitoring data are achieved. By linking the detection module of the dispersed components with the actuator, the airflow stability is improved, thereby improving the accuracy of the monitoring data. Attached Figure Description

[0016] Figure 1 This is a schematic diagram of the overall structure of the transformer oil dissolved gas monitoring device based on intelligent sensor detection proposed in this invention; Figure 2 This is a schematic diagram of the detector box structure of the transformer oil dissolved gas monitoring device based on intelligent sensor detection proposed in this invention; Figure 3 This is a schematic diagram of the compartment structure of the transformer oil dissolved gas monitoring device based on intelligent sensor detection proposed in this invention; Figure 4 This is a schematic diagram of the internal structure of the tank of the transformer oil dissolved gas monitoring device based on intelligent sensor detection proposed in this invention. Figure 5 This is a schematic diagram of the dispersion head structure of the transformer oil dissolved gas monitoring device based on intelligent sensor detection proposed in this invention.

[0017] In the diagram: 1 Separator, 2 Detector box, 3 Pipe 1, 4 Chamber pipe, 5 Pipe 2, 6 Intelligent gas sensor, 7 Water bath sleeve, 8 Dispersing component, 9 Dispersing head, 10 Rotary shaft, 11 Fin, 12 Gas tank. Detailed Implementation

[0018] Example 1: Refer to Figures 1-5The transformer oil dissolved gas monitoring device based on intelligent sensor detection includes a sampling unit, a gas separation unit, an intelligent sensor detection unit, a data processing and control unit, a communication unit, and a power supply unit. The sampling unit includes a sampling pump, a filter, a pressure regulating valve, and a flow sensor. The flow sensor monitors the oil sample flow rate in real time and feeds the data back to the data processing and control unit to realize closed-loop control of the sampling flow rate. The sampling unit is used to extract oil samples from the transformer oil tank and perform preliminary filtration and pressure stabilization on the oil samples. The gas separation unit is equipped with a separator 1, and a tube 3 is connected between the separator 1 and the sampling unit. The separator 1 uses membrane separation technology or vacuum degassing technology to separate the dissolved gas in the oil sample from the oil to obtain the gas mixture to be tested. The intelligent sensor detection unit includes a detector box 2, which contains multiple parallel chambers 4. Intelligent gas sensors 6 are installed within each chamber 4. A pipe 2 5 connects each chamber 4 to the separator 1. It should be noted that the intelligent gas sensors 6 are designed for different characteristic gases, such as H2, CH4, C2H6, C2H4, and C2H2. Different sensors are selected as needed. To meet the temperature and humidity requirements of different sensors during monitoring, multiple intelligent gas sensors 6 are configured in separate chambers to ensure effective monitoring under suitable temperature and humidity conditions. A water bath sleeve 7 is installed at the end of each chamber 4 near the separator 1. Temperature control within the water bath sleeve 7 maintains the gas within each chamber 4 within a suitable range, ensuring the accuracy of the monitoring data from the intelligent gas sensors 6. It should be noted that the water bath sleeve 7 contains a built-in 50W electric heating wire and circulating water. The pump (0.5L / min) receives PWM signals from the data processing unit to achieve temperature control with an accuracy of ±0.3℃ within the range of 25-50℃. The intelligent gas sensor 6 integrates a sensitive element, signal conditioning circuit, temperature compensation module, humidity compensation module, A / D loop module, and microprocessor. By incorporating a temperature and humidity compensation module within the intelligent gas sensor 6, the detection sensitivity and measurement accuracy for low-concentration characteristic gases are significantly improved, while effectively reducing the impact of environmental factors on the detection results, ensuring the stability and reliability of the monitoring data. A dispersion component 8 is also installed inside the chamber 4 on the side of the intelligent gas sensor 6 facing the separator 1. The dispersion component 8 is connected to a micro servo motor, which is used to actively adjust the dispersion component 8 to evenly disperse the airflow. The detector box 2 has three sets of LED indicator lights on its surface, corresponding to airflow abnormality, temperature and humidity deviation, and sensor malfunction, respectively, driven by the data processing unit. The data processing and control unit employs a high-performance microcontroller to receive digital signals output from the intelligent sensor detection unit, and performs data fusion, analysis, and processing. Specifically, this includes: filtering and noise reduction of the concentration data of various characteristic gases; evaluating the transformer's operating status and providing fault warnings based on preset fault diagnosis models (such as the David triangle method and characteristic gas method); generating monitoring reports and historical data curves; and controlling the operating status of the sampling unit and gas separation unit to achieve automated operation of the entire device. The communication unit adopts both wired communication (such as RS485, Ethernet) and wireless communication (such as 4G / 5G, LoRa, NB-IoT) to transmit real-time monitoring data, equipment status information and fault alarms to the remote monitoring center. It can also receive control commands (such as calibration commands, parameter setting commands, etc.) issued by the monitoring center to realize remote monitoring and management. The power supply unit adopts a dual power supply mode, including AC power (220V / AC) and backup DC power (24V / DC). When the AC power is interrupted, it automatically switches to the backup DC power to ensure continuous and reliable operation of the device.

[0019] In this invention, the dispersing component 8 is provided with a dispersing head 9. The top and bottom of the dispersing head 9 are left with gaps between them and the inner wall of the chamber tube 4. The top / bottom of the dispersing head 9 is left with a gap of 0.5-1mm between it and the inner wall of the chamber tube 4. The side of the dispersing head 9 facing the separator 1 is set as an outwardly arched arc structure. Both ends of the dispersing head 9 are fixed with rotating shafts 10. The outer wall of the rotating shafts 10 is rotatably connected to the chamber tube 4. One of the rotating shafts 10 is connected to a micro servo motor to realize active deflection of the dispersing head 9 within a range of ±15°. The top and bottom of the dispersing head 9 are fixed with fins 11. The fins 11 are located between the rotating shafts 10 and the arc structure, so that the arc structure protruding on one side of the dispersing head 9 faces the air intake direction of the chamber tube 4, so as to use the dispersing head 9 and the fins 11 to disperse the air intake and improve the effectiveness of the monitoring by the intelligent gas sensor 6 located behind the dispersing head 9.

[0020] In this invention, the top and bottom of the arc-shaped structure of the dispersing head 9 are provided with air grooves 12. The end of the air groove 12 facing the fin 11 is vertically upward. The air groove 12 disperses the airflow and alleviates the horizontal impact force of the airflow, so as to avoid the gas flow rate being too fast and affecting the accuracy of the monitoring of the intelligent gas sensor 6.

[0021] In this invention, a temperature and humidity detection module 1 and an airflow intensity detection module 1 are provided in the middle of the side of the dispersing head 9 away from the intelligent gas sensor 6. A second temperature and humidity detection module 2 and an airflow intensity detection module 2 are installed at the top and bottom of the dispersing head 9, near the intelligent gas sensor 6 on the fins 11. It should be noted that the accuracy of the temperature and humidity detection module meets ±0.5℃ / ±2%RH, and the accuracy of the airflow intensity detection module meets ±0.02m / s.

[0022] In this invention, the gas monitoring and control method includes the following steps: Step 1: Initialization and calibration, establishing the mapping relationship between "motor drive signal - deflection angle" and key thresholds; Step 2: Simultaneously collect temperature and humidity, airflow intensity and dispersion head angle data of the dispersion components, filter and fuse them, perform noise filtering and baseline correction on the collected data, and comprehensively calculate the airflow stability index and temperature and humidity compatibility index. Step 3: Determine the status based on the combined airflow stability index S and temperature and humidity adaptation index H; Step 4: Based on the joint judgment results, execute control actions in three levels: mild, moderate, and severe. Mild control adjusts the deflection angle of the dispersion head, moderate control adjusts the water bath sleeve temperature, and severe control simultaneously performs dispersion head reset, airflow disturbance, water bath temperature adjustment, and alarm sending. Step 5: Reset and record key data.

[0023] In this invention, in step one, the temperature and humidity difference thresholds are: temperature difference ΔT≤2℃, relative humidity difference ΔRH≤5%; the airflow intensity difference thresholds are: airflow velocity difference Δv≤0.1m / s, and airflow stable residence time≥2s.

[0024] In this invention, in step two, the airflow stability index S = 0.6 × (1 - Δv / 0.1) + 0.4 × (1 - |θ| / 15), and the temperature and humidity adaptation index H = 0.7 × (1 - ΔT / 2) + 0.3 × (1 - ΔRH / 5), where θ is the deflection angle of the disperser 9, and the Kalman filter algorithm is used to filter out data noise.

[0025] In this invention, in step four, mild control involves deflecting the dispersion head 9 by ±3°, moderate control involves correcting the water bath temperature by 0.1°C every 100ms, and severe control includes resetting the dispersion head, causing airflow disturbance, and sending an alarm.

[0026] In this invention, in step five, the recorded data includes timestamps, temperature and humidity differences, airflow intensity differences, dispersion head angles, compensation amounts, control levels, and results, which are stored in non-volatile memory and can be uploaded to the monitoring center.

[0027] Example 2: Refer to Figures 1-5 Based on Example 1, the method for monitoring dissolved gases in transformer oil using intelligent sensors specifically includes: Step 1: Initialization and Calibration Geometry and parameter calibration: Define the initial zero position of the dispersion head 9 (the central axis of the arc structure coincides with the axis of the chamber tube 4), adjust the deflection of the dispersion head 9 by ±15° through the micro servo motor, record the angle sensor data of the rotating shaft 10, and establish the mapping relationship between "motor drive signal and deflection angle"; Set key thresholds: temperature and humidity difference threshold (ΔT≤2℃, ΔRH≤5%), airflow intensity difference threshold (Δv≤0.1m / s), stable airflow dwell time (≥2s), and sensor compensation trigger threshold (e.g., compensation is activated when the concentration of low-concentration gas (such as C2H2) is ≤5μL / L).

[0028] Sensor calibration: Temperature and humidity detection module: Placed in a standard temperature and humidity environment (25℃ / 50%RH), collect 100 sets of data, calculate the zero-point offset, and write it into the microcontroller's Flash memory; Airflow intensity detection module: Introduce N2 gas at a standard flow rate (0.3 m / s) and calibrate the linear relationship between the output voltage of the detection module and the actual flow rate (R²≥0.99). Intelligent gas sensor: Introduce a characteristic gas of known concentration (e.g., H2: 100 μL / L, CH4: 50 μL / L), calibrate the conversion factor between the sensor's response value and concentration, and establish a temperature compensation model (e.g., concentration correction value = measured value × (1 + 0.01 × (25 - T)), where T is the measured temperature).

[0029] System self-test: Checks whether the micro servo motors of the distributed components are rotating normally, whether the water bath sleeve can reach the set temperature, and whether all sensors are communicating normally; if a module fails (such as no data from the airflow detection module 2), it enters conservative mode (the data of the failed module is masked, the average value of other modules is used as a substitute, and the yellow indicator light is lit at the same time).

[0030] Step 2: Data Acquisition and Fusion Synchronous data acquisition: The data processing unit synchronously acquires the following data in 100ms cycles: temperature and humidity detection modules one / two (T1,T2; RH1,RH2) and airflow intensity detection modules one / two (v1,v2) of the dispersion unit; deflection angle of the dispersion head (θ, acquired by the angle sensor); raw detection data (C_raw) of the intelligent gas sensor; actual temperature of the water bath sleeve (T_water) and oil sample flow rate of the sampling unit (Q, acquired by the flow sensor, range 0-5L / min).

[0031] Data preprocessing: Kalman filtering algorithm is used to filter out high-frequency noise in airflow intensity and temperature and humidity data (filtering coefficient 0.8); key differences are calculated: ΔT=T1-T2, ΔRH=RH1-RH2, Δv=v1-v2; baseline correction is performed on the raw data of the smart gas sensor (C_cal=C_raw-zero offset).

[0032] Data fusion: The weighted summation method is used to calculate the airflow stability index (S) and temperature and humidity adaptation index (H): S = 0.6 × (1 - Δv / 0.1) + 0.4 × (1 - |θ| / 15) (S ∈ [0,1], S ≥ 0.8 is "airflow stability"); H = 0.7 × (1 - ΔT / 2) + 0.3 × (1 - ΔRH / 5) (H ∈ [0,1], H ≥ 0.8 is "temperature and humidity adaptation").

[0033] Step 3, Joint Judgment: Airflow status determination: If S≥0.8 and the residence time is ≥2s: the airflow is determined to be "stable", and the current smart gas sensor data is adopted; If S < 0.8 and the dwell time is ≥ 1s: Further determine the contributions of Δv and θ: If Δv > 0.1 m / s (uneven airflow distribution): determine "the deflection of the dispersion head needs to be adjusted"; If |θ|>5° (dispersion head offset): determine "dispersion head zero position needs to be reset".

[0034] Temperature and humidity status determination: If H≥0.8: "Temperature and humidity are suitable", no adjustment of water bath sleeve is required; If H < 0.8: Calculate the target water bath temperature (T_target = 25 + (T2 - 25) × 0.8, ensuring T2 approaches 25℃), and determine "the water bath temperature needs to be adjusted".

[0035] Sensor compensation determination: If C_cal≤5μL / L (low concentration gas) and H<0.8: activate the temperature compensation module of the intelligent gas sensor, compensation amount=C_cal×(1+0.01×(25-T2)), and determine "temperature and humidity control needs to be strengthened".

[0036] Step 4, Tiered Control: Based on the judgment results of Step 3, execute control actions in three levels: Mild control: Judgment condition: airflow stability S=0.6-0.8; Control action: micro servo motor drives the dispersing head 9 to deflect ±3° until S≥0.8; Moderate control: Judgment conditions: Temperature and humidity adaptability H=0.6-0.8; Control action: The electric heating wire of the water bath tube works in conjunction with the water pump to adjust the temperature according to T_target, correcting it by 0.1℃ every 100ms; Heavy control: Judgment conditions: S<0.6 or H<0.6 or sensor failure; Control actions: The micro servo motor resets the dispersion head to zero, and at the same time starts airflow disturbance (motor forward and reverse ±5°, frequency 1Hz); the water bath tube sleeve is adjusted to T_target at a rate of 0.5℃ / s; the red indicator light is lit, and a "manual intervention required" alarm is sent through the communication unit; Control constraints: The single adjustment angle of the micro servo motor is ≤5° to avoid sudden changes in airflow; the temperature adjustment range of the water bath tube is ≤5℃ / min to prevent sensor temperature drift.

[0037] Step 5: Reset and Record: Reset procedure: When S≥0.8 and H≥0.8 for ≥3s: the micro servo motor resets the dispersion head to zero, the water bath tube switches to "constant temperature mode" (25℃), and the LED indicator turns green; If a stable state is not reached within 10 seconds after control: the system maintains the current control action and enters "conservative mode" (increasing the judgment thresholds of S and H to 0.9 to reduce false actions).

[0038] Data logging: Non-volatile memory records key data for each control event; the recorded data can be uploaded to the monitoring center via the communication unit for fault review and parameter tuning.

[0039] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A device for monitoring dissolved gases in transformer oil based on intelligent sensor detection, comprising a sampling unit, a gas separation unit, an intelligent sensor detection unit, a data processing and control unit, a communication unit, and a power supply unit, characterized in that, The sampling unit is used to extract oil samples from the transformer tank; The gas separation unit is equipped with a separator (1) to separate the dissolved gas from the oil in the oil sample; The intelligent sensor detection unit is equipped with a detector box (2), and multiple parallel chamber tubes (4) are installed inside the detector box (2). An intelligent gas sensor (6) is installed inside the chamber tubes (4). A water bath sleeve (7) is installed at the end of the chamber tube (4) near the separator (1). The intelligent gas sensor (6) integrates a sensitive element, a signal conditioning circuit, a temperature compensation module, a humidity compensation module, an A / D loop module, and a microprocessor. A dispersion component (8) is also installed inside the chamber tube (4) on the side of the intelligent gas sensor (6) facing the separator (1). The dispersion component (8) is connected to a micro servo motor. The data processing and control unit uses a high-performance microcontroller to receive digital signals output by the intelligent sensor detection unit and perform data fusion, analysis and processing. The communication unit employs both wired and wireless communication methods. The power supply unit adopts a dual power supply mode, including AC power and backup DC power.

2. The transformer oil dissolved gas monitoring device based on intelligent sensor detection according to claim 1, characterized in that, The dispersing component (8) is provided with a dispersing head (9). The top and bottom of the dispersing head (9) are separated from the inner wall of the chamber tube (4). The side of the dispersing head (9) facing the separator (1) is set as an outward arched arc structure. Both ends of the dispersing head (9) are fixed with a rotating shaft (10). The outer wall of the rotating shaft (10) is rotatably connected to the chamber tube (4). One of the rotating shafts (10) is connected to a micro servo motor. The top and bottom of the dispersing head (9) are fixed with fins (11). The fins (11) are located between the rotating shaft (10) and the arc structure.

3. The transformer oil dissolved gas monitoring device based on intelligent sensor detection according to claim 2, characterized in that, The top and bottom of the arc-shaped structure of the dispersing head (9) are provided with air grooves (12), and the end of the air groove (12) facing the fin (11) is vertically upward.

4. The transformer oil dissolved gas monitoring device based on intelligent sensor detection according to any one of claims 2 to 3, characterized in that, Temperature and humidity detection module 1 and airflow intensity detection module 1 are provided in the middle of the side of the dispersing head (9) away from the smart gas sensor (6). Temperature and humidity detection module 2 and airflow intensity detection module 2 are installed on the top and bottom of the dispersing head (9) at the position of the fin (11) near the smart gas sensor (6).

5. The device for monitoring dissolved gases in transformer oil based on intelligent sensor detection according to claim 4, characterized in that, The gas monitoring and control method includes the following steps: Step 1: Initialization and calibration, establishing the mapping relationship between "motor drive signal - deflection angle" and key thresholds; Step 2: Simultaneously collect temperature and humidity, airflow intensity and angle data of the dispersed parts (9), filter and fuse them, perform noise filtering and baseline correction on the collected data, and comprehensively calculate the airflow stability index and temperature and humidity compatibility index. Step 3: Determine the status based on the combined airflow stability index S and temperature and humidity adaptation index H; Step 4: Based on the joint judgment results, control actions are performed in three levels: mild, moderate and severe. For mild cases, the deflection angle of the disperser (9) is adjusted; for moderate cases, the temperature of the water bath tube is adjusted; and for severe cases, the disperser (9) is reset, the airflow is disturbed, the water bath temperature is adjusted and the alarm is sent simultaneously. Step 5: Reset and record key data.

6. The device for monitoring dissolved gases in transformer oil based on intelligent sensor detection according to claim 5, characterized in that, In step one, the temperature and humidity difference thresholds are: temperature difference ΔT≤2℃, relative humidity difference ΔRH≤5%; the airflow intensity difference thresholds are: airflow velocity difference Δv≤0.1m / s, and airflow stable residence time≥2s.

7. The device for monitoring dissolved gases in transformer oil based on intelligent sensor detection according to claim 5, characterized in that, In step two, the airflow stability index S = 0.6 × (1 - Δv / 0.1) + 0.4 × (1 - |θ| / 15) and the temperature and humidity adaptation index H = 0.7 × (1 - ΔT / 2) + 0.3 × (1 - ΔRH / 5), where θ is the deflection angle of the dispersion head (9).

8. The device for monitoring dissolved gases in transformer oil based on intelligent sensor detection according to claim 5, characterized in that, In step four, mild control is the deflection of the diffuser (9) by ±3°, moderate control is the water bath temperature correction of 0.1°C every 100ms, and severe control includes the reset of the diffuser (9), airflow disturbance, and alarm transmission.

9. The device for monitoring dissolved gases in transformer oil based on intelligent sensor detection according to claim 5, characterized in that, In step five, the recorded data includes timestamps, temperature and humidity differences, airflow intensity differences, dispersion head angles, compensation amounts, control levels, and results. This data is stored in non-volatile memory and can be uploaded to the monitoring center.

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