Method and device for detecting oil leakage of hydraulic nitrogen energy storage mechanism of circuit breaker

Abstract

The invention belongs to the technical field of circuit breaker hydraulic nitrogen energy storage mechanism oil leakage detection, and particularly relates to a circuit breaker hydraulic nitrogen energy storage mechanism oil leakage detection method and device, and the method comprises the steps: monitoring the oil leakage state of a circuit breaker hydraulic mechanism, and generating a state signal according to the detection information; wherein the state signal comprises an oil leakage signal and a non-leakage signal; based on the oil leakage signals, oil leakage weight information at each moment is collected, and oil leakage time sequence data are formed; according to the method, time sequence data are preprocessed and subjected to stability test, oil leakage time sequence data of a collection period are imported into an autoregressive moving average (ARMA) model, an oil leakage time sequence prediction model is obtained through training, and the weight of leaked oil in a prediction container can be obtained by inputting a prediction time value. Through the oil leakage time sequence prediction model, the oil leakage amount in the future short period can be accurately predicted, the oil leakage rate can be calculated, the defect grade can be judged according to the oil leakage rate subsequently, and defect definition is conducted on the hydraulic nitrogen energy storage mechanism.

Description

Technical Field

[0001] The invention belongs to the technical field of oil leakage detection of a hydraulic nitrogen energy storage mechanism of a circuit breaker, and specifically relates to a method and a device for detecting oil leakage of a hydraulic nitrogen energy storage mechanism of a circuit breaker. Background Art

[0002] The hydraulic nitrogen energy storage mechanism of the circuit breaker is an important component of the circuit breaker. It uses the principle of liquid incompressibility, hydraulic oil as the transmission medium, and stores energy through nitrogen. This mechanism has the characteristics of large output power, good load characteristics, low noise, easy speed adjustment, high reliability and convenient maintenance. It has been widely configured in high-voltage circuit breakers. Oil leakage detection of the hydraulic nitrogen energy storage mechanism of the circuit breaker is an important link to ensure the normal operation of the circuit breaker and extend its service life.

[0003] Existing oil leakage detection of hydraulic nitrogen energy storage mechanisms of circuit breakers mostly relies on sensors for oil leakage detection and alarm, which cannot intelligently and accurately determine the cause of oil leakage failure of the hydraulic nitrogen energy storage mechanism of the circuit breaker; and it is impossible to determine the defect level of the hydraulic nitrogen energy storage mechanism of the circuit breaker that has already leaked oil, which makes it inconvenient for staff to take measures to deal with it quickly.

[0004] To this end, the present invention provides a method and device for detecting oil leakage of a hydraulic nitrogen energy storage mechanism of a circuit breaker. Summary of the invention

[0005] In order to make up for the deficiencies of the prior art, at least one technical problem raised in the background technology is solved.

[0006] The technical solution adopted by the present invention to solve the technical problem is: a method for detecting oil leakage of a hydraulic nitrogen energy storage mechanism of a circuit breaker according to the present invention comprises:

[0007] Step 1, monitoring the oil leakage status of the circuit breaker hydraulic mechanism, and generating a status signal according to the detection information; wherein the status signal includes an oil leakage signal and a non-leakage signal;

[0008] Step 2, based on the oil leakage signal, collect the oil leakage weight information at each moment to form oil leakage time series data;

[0009] Step 3, preprocessing the time series data and performing a stationarity test to obtain a situation signal, wherein the situation signal includes a stable signal and an unstable signal;

[0010] Step 4: Establishing a time series prediction model for oil leakage based on the stable signal;

[0011] Step 5, collect the real-time oil leakage speed and predicted time value, input them into the oil leakage time series prediction model, obtain the future oil leakage amount, and obtain the oil leakage rate per second based on the predicted oil leakage amount and the weight of each drop of oil;

[0012] Step 6, judging the defect level according to the oil leakage rate, and defining the defect of the hydraulic nitrogen energy storage mechanism;

[0013] The defects of the hydraulic nitrogen energy storage mechanism are defined as follows:

[0014] If there are oil stains on the pipeline, the leakage rate is less than 5 seconds per drop, and the oil level in the tank is normal, it is defined as a serious defect;

[0015] When oil stains or oil leakage points appear in the hydraulic mechanism pipeline, the oil leakage rate is greater than 5 seconds per drop, and the oil level in the oil tank is normal, it is defined as a general defect;

[0016] Step 7: Output the hydraulic mechanism oil leakage signal and defect level through the display module, which also includes sound and light alarm.

[0017] Preferably, the step 4 of establishing a leakage oil time series prediction model comprises the following steps:

[0018] Step 4.1, select the autoregressive moving average ARMA model as the time series forecasting model and determine the order;

[0019] Step 4.2, determine the order of the oil leakage time series prediction model, and estimate the parameters of the oil leakage time series prediction model by the least square method;

[0020] Step 4.3, conduct a significance test on the model to verify the effectiveness of the model and obtain the oil leakage time series prediction model.

[0021] Preferably, the oil leakage operation state of the circuit breaker hydraulic mechanism is monitored, specifically:

[0022] An oil leakage sensing element is installed inside the hydraulic oil tank of the circuit breaker to continuously detect the oil condition inside the tank through the oil leakage sensing element; if the oil leakage sensing element detects oil leakage, an oil leakage signal is generated; if the oil leakage sensing element does not detect oil leakage, a no leakage signal is generated.

[0023] Preferably, based on the oil leakage signal, the oil leakage weight information at each moment is collected to form the oil leakage time series data; specifically:

[0024] Set the collection cycle, divide the collection cycle into a number of collection moments i, i is a positive integer, and the interval between two adjacent collection moments is t;

[0025] The leaked oil is collected through a container, and the weight Xi of the leaked oil in the container at each collection moment is obtained in real time through a weight sensor to obtain a (ti, Xi) sequence, which is recorded as the oil leakage time series data.

[0026] Preferably, the time series data is preprocessed and a stationarity test is performed to obtain a state signal, specifically:

[0027] Obtain the oil leakage weight data at each collection moment within the collection period, obtain the difference between the oil leakage weights at two adjacent collection moments, obtain the oil leakage difference, calculate the variance value of all the oil leakage differences within the collection period by using the variance calculation formula, obtain the oil difference stability value, and compare the oil difference stability value with the preset oil difference stability threshold;

[0028] If the difference stability value is greater than or equal to the preset oil difference stability threshold, it means that the oil difference stability value within the collection period exceeds the standard, the oil leakage rate is unstable, and an unstable signal is generated;

[0029] On the contrary, if the difference stability value is less than the preset oil difference stability threshold, it means that the oil difference stability value within the collection period does not exceed the standard, the oil leakage rate is stable, and a stable signal is generated.

[0030] Preferably, the time series data is preprocessed as follows:

[0031] Obtain the oil spill weight data at each collection moment within the collection cycle, clean the collected data, remove duplicates, and check and delete duplicate records in the data.

[0032] Preferably, a time series prediction model for oil leakage is established; specifically:

[0033] Select the time series forecasting model and adopt the autoregressive moving average ARMA model;

[0034] The oil leakage time series data of the acquisition period is imported into the Python library to draw the autocorrelation function ACF diagram and the partial autocorrelation function PACF diagram. The autoregressive order p is determined by observing the position of the tail or truncation in the autocorrelation function ACF diagram; the moving average order q is determined by observing the position of the truncation in the partial autocorrelation function PACF diagram; the formula

[0035] The predicted weight Xt of oil leakage in the container at time t is obtained; among them, p and q are the autoregressive order and moving average order of the model; φ and θ are non-zero preset coefficients; εt is an independent error term.

[0036] A device for detecting oil leakage of a hydraulic nitrogen energy storage mechanism of a circuit breaker, comprising:

[0037] The oil leakage collection module 100 is used to collect the oil leakage of the hydraulic nitrogen energy storage mechanism of the circuit breaker through a container and generate a state signal, wherein the state signal includes an oil leakage signal and a no leakage signal;

[0038] The data processing module 200 is connected to the container and is used to convert the collected oil leakage signal into data to generate oil leakage time series data;

[0039] The control module 300 is connected to the data processing module 200 and is used to calculate the defect level caused by the oil leakage according to the standard value and output the result.

[0040] Preferably, a display module 400 is further included, and the display module 400 is connected to the control module 300 and is used for visually displaying the output results.

[0041] Preferably, it further comprises an alarm module 500, which is connected to the control module 300 and emits an audible and visual alarm when the output result is oil leakage.

[0042] The beneficial effects of the present invention are as follows:

[0043] 1. A method and device for detecting oil leakage of a hydraulic nitrogen energy storage mechanism of a circuit breaker described in the present invention monitors the oil leakage state of the hydraulic mechanism of the circuit breaker and generates a state signal according to the detection information; wherein the state signal includes an oil leakage signal and a non-leakage signal; based on the oil leakage signal, the oil leakage weight information at each moment is collected to form oil leakage time series data; the time series data is preprocessed and a stability test is performed to obtain a situation signal, wherein the situation signal includes a stable signal and an unstable signal, and can intelligently and accurately determine the cause of the oil leakage failure of the hydraulic nitrogen energy storage mechanism of the circuit breaker, so that the staff can take measures to quickly deal with it.

[0044] 2. The method and device for detecting oil leakage of a hydraulic nitrogen energy storage mechanism of a circuit breaker described in the present invention, by importing the oil leakage time series data of the acquisition period into the autoregressive moving average ARMA model, training to establish an oil leakage time series prediction model, by inputting the prediction time value, the predicted weight of the oil leakage in the container can be obtained, the oil leakage time series prediction model can be used to more accurately predict the oil leakage volume in the future short term, and the oil leakage rate can be calculated, so as to facilitate the subsequent determination of the defect level according to the oil leakage rate and the defect definition of the hydraulic nitrogen energy storage mechanism.

[0045] 3. A method and device for detecting oil leakage of a hydraulic nitrogen energy storage mechanism of a circuit breaker described in the present invention, the oil leakage collection module 100 is used to collect the oil leakage of the hydraulic nitrogen energy storage mechanism of the circuit breaker through a container and generate a status signal, wherein the status signal includes an oil leakage signal and a no leakage signal; the data processing module 200 is connected to the container and is used to convert the collected oil leakage signal into data and generate oil leakage time series data; the control module 300 is connected to the data processing module 200 and is used to calculate the defect level caused by the oil leakage according to the standard value and output the result; the display module 400 is connected to the control module 300 and is used to visualize the output result; the alarm module 500 is connected to the control module 300 and emits an audible and visual alarm when the output result is an oil leakage, so that the circuit breaker hydraulic nitrogen energy storage mechanism can be detected and warned of oil leakage, which is convenient for the staff to handle in time. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] The present invention will be further described below in conjunction with the accompanying drawings.

[0047] Figure 1 is a flow chart of a method according to Embodiment 1 of the present invention;

[0048] Figure 2 It is a system principle diagram of the mobile mechanism of the present invention. DETAILED DESCRIPTION

[0049] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods.

[0050] Embodiment 1

[0051] like Figure 1 As shown, a method for detecting oil leakage of a hydraulic nitrogen energy storage mechanism of a circuit breaker according to an embodiment of the present invention comprises:

[0052] Step 1, monitoring the oil leakage status of the circuit breaker hydraulic mechanism, and generating a status signal according to the detection information; wherein the status signal includes an oil leakage signal and a non-leakage signal;

[0053] Step 2, based on the oil leakage signal, collect the oil leakage weight information at each moment to form oil leakage time series data;

[0054] Step 3, preprocessing the time series data and performing a stationarity test to obtain a situation signal, wherein the situation signal includes a stable signal and an unstable signal;

[0055] Step 4: Establishing a time series prediction model for oil leakage based on the stable signal;

[0056] Step 5, collect the real-time oil leakage speed and predicted time value, input them into the oil leakage time series prediction model, obtain the future oil leakage amount, and obtain the oil leakage rate per second based on the predicted oil leakage amount and the weight of each drop of oil;

[0057] Step 6, judging the defect level according to the oil leakage rate, and defining the defect of the hydraulic nitrogen energy storage mechanism;

[0058] The defects of the hydraulic nitrogen energy storage mechanism are defined as follows:

[0059] If there are oil stains on the pipeline, the leakage rate is less than 5 seconds per drop, and the oil level in the tank is normal, it is defined as a serious defect;

[0060] When oil stains or oil leakage points appear in the hydraulic mechanism pipeline, the oil leakage rate is greater than 5 seconds per drop, and the oil level in the oil tank is normal, it is defined as a general defect;

[0061] Step 7: Output the hydraulic mechanism oil leakage signal and defect level through the display module, which also includes sound and light alarm.

[0062] In step 4, a time series prediction model for oil leakage is established, which includes the following steps:

[0063] Step 4.1, select the autoregressive moving average ARMA model as the time series forecasting model and determine the order;

[0064] Step 4.2, determine the order of the oil leakage time series prediction model, and estimate the parameters of the oil leakage time series prediction model by the least square method;

[0065] Step 4.3, conduct a significance test on the model to verify the effectiveness of the model and obtain the oil leakage time series prediction model.

[0066] Specifically, the significance test is to input the real-time oil leakage speed and the predicted time value at a certain moment in the historical data into the oil leakage time series prediction model based on the historical data, and obtain the oil leakage rate according to the future oil leakage volume output by the oil leakage time series prediction model, and compare it with the actual oil leakage volume and oil leakage rate at that time point to determine whether there is a significant difference between the actual situation and the original hypothesis. If there is no obvious difference, the oil leakage time series prediction model is judged to be correct. If there is a difference, the oil leakage time series prediction model needs to be retrained.

[0067] Monitor the oil leakage operation status of the circuit breaker hydraulic mechanism, specifically:

[0068] An oil leakage sensing element is installed inside the hydraulic oil tank of the circuit breaker to continuously detect the oil condition inside the tank through the oil leakage sensing element; if the oil leakage sensing element detects oil leakage, an oil leakage signal is generated; if the oil leakage sensing element does not detect oil leakage, a no leakage signal is generated.

[0069] Based on the oil leakage signal, the oil leakage weight information at each moment is collected to form the oil leakage time series data; specifically:

[0070] Set the collection cycle, divide the collection cycle into a number of collection moments i, i is a positive integer, and the interval between two adjacent collection moments is t;

[0071] The leaked oil is collected through a container, and the weight Xi of the leaked oil in the container at each collection moment is obtained in real time through a weight sensor to obtain a (ti, Xi) sequence, which is recorded as the oil leakage time series data.

[0072] Preprocess the time series data and perform a stationarity test to obtain the status signal, specifically:

[0073] Obtain the oil leakage weight data at each collection moment within the collection period, obtain the difference between the oil leakage weights at two adjacent collection moments, obtain the oil leakage difference, calculate the variance value of all the oil leakage differences within the collection period by using the variance calculation formula, obtain the oil difference stability value, and compare the oil difference stability value with the preset oil difference stability threshold;

[0074] If the difference stability value is greater than or equal to the preset oil difference stability threshold, it means that the oil difference stability value within the collection period exceeds the standard, the oil leakage rate is unstable, and an unstable signal is generated;

[0075] On the contrary, if the difference stability value is less than the preset oil difference stability threshold, it means that the oil difference stability value within the collection period does not exceed the standard, the oil leakage rate is stable, and a stable signal is generated.

[0076] It should be noted that the stability test of the time series data is performed. The oil leakage difference refers to the difference in oil leakage weight between two adjacent collection moments within the collection period. The oil difference stability value is obtained by calculating the variance of all oil leakage differences within the collection period. The oil difference stability value is compared with the preset oil difference stability threshold value to reflect whether the oil leakage rate is stable. If the difference stability value is greater than or equal to the preset oil difference stability threshold value, it means that the oil difference stability value within the collection period exceeds the standard, the oil leakage rate is unstable, and an unstable signal is generated. The unstable oil leakage indicates that the hydraulic nitrogen energy storage mechanism of the circuit breaker is caused by the aging or improper installation of the seal, and the aging and wear degree of the seal is Different degrees will lead to unstable oil leakage rate. Improperly installed seals may gradually loosen or deform when subjected to system pressure, further aggravating the oil leakage problem and leading to unstable oil leakage rate, which has nothing to do with the structural design; on the contrary, if the difference stability value is less than the preset oil difference stability threshold, it means that the oil difference stability value within the collection period has not exceeded the standard, the oil leakage rate is stable, and a stable signal is generated. The stable oil leakage rate indicates that the circuit breaker hydraulic nitrogen energy storage mechanism itself has design defects, resulting in oil leakage. It can intelligently and accurately determine the cause of the oil leakage failure of the circuit breaker hydraulic nitrogen energy storage mechanism, making it convenient for the staff to take measures to deal with it quickly.

[0077] Preprocessing of time series data, specifically:

[0078] Obtain the oil spill weight data at each collection moment within the collection cycle, clean the collected data, remove duplicates, check and delete duplicate records in the data, and avoid misleading the model training.

[0079] Establish a time series prediction model for oil leakage; specifically:

[0080] Select the time series forecasting model and adopt the autoregressive moving average ARMA model;

[0081] The oil leakage time series data of the acquisition period is imported into the Python library to draw the autocorrelation function ACF diagram and the partial autocorrelation function PACF diagram. The autoregressive order p is determined by observing the position of the tail or truncation in the autocorrelation function ACF diagram; the moving average order q is determined by observing the position of the truncation in the partial autocorrelation function PACF diagram; the formula

[0082] The predicted weight Xt of oil leakage in the container at time t is obtained; among them, p and q are the autoregressive order and moving average order of the model; φ and θ are non-zero preset coefficients; εt is an independent error term.

[0083] It should be noted that, by importing the oil leakage time series data of the collection period into the autoregressive moving average ARMA model, training is obtained to establish the oil leakage time series prediction model. By inputting the prediction time value, the predicted oil leakage weight in the container can be obtained. The independent error term εt is set according to actual historical experience. The oil leakage time series prediction model can more accurately predict the oil leakage volume in the future short term, and can calculate the oil leakage rate, which is convenient for subsequent judgment of the defect level according to the oil leakage rate and defect definition of the hydraulic nitrogen energy storage mechanism.

[0084] Embodiment 2

[0085] like Figure 2 As shown, a device for detecting oil leakage of a hydraulic nitrogen energy storage mechanism of a circuit breaker adopts the above-mentioned method for detecting oil leakage of a hydraulic nitrogen energy storage mechanism of a circuit breaker, comprising:

[0086] The oil leakage collection module 100 is used to collect the oil leakage of the hydraulic nitrogen energy storage mechanism of the circuit breaker through a container and generate a state signal, wherein the state signal includes an oil leakage signal and a no leakage signal;

[0087] The data processing module 200 is connected to the container and is used to convert the collected oil leakage signal into data to generate oil leakage time series data;

[0088] The control module 300 is connected to the data processing module 200 and is used to calculate the defect level caused by the oil leakage according to the standard value and output the result.

[0089] It also includes a display module 400, which is connected to the control module 300 and is used to visually display the output results.

[0090] It also includes an alarm module 500, which is connected to the control module 300 and emits an audible and visual alarm when the output result is oil leakage.

[0091] The above shows and describes the basic principles, main features and advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A method for detecting oil leakage of a hydraulic nitrogen energy storage mechanism of a circuit breaker, characterized in that: include: Step 1, monitoring the oil leakage status of the circuit breaker hydraulic mechanism and generating a status signal according to the detection information; The status signal includes an oil leakage signal and a no leakage signal; Step 2, based on the oil leakage signal, collect the oil leakage weight information at each moment to form oil leakage time series data; Step 3, preprocessing the time series data and performing a stationarity test to obtain a situation signal, wherein the situation signal includes a stable signal and an unstable signal; Step 4: Establishing a time series prediction model for oil leakage based on the stable signal; Step 5, collect the real-time oil leakage speed and predicted time value, input them into the oil leakage time series prediction model, obtain the future oil leakage amount, and obtain the oil leakage rate per second based on the predicted oil leakage amount and the weight of each drop of oil; Step 6, judging the defect level according to the oil leakage rate, and defining the defect of the hydraulic nitrogen energy storage mechanism; The defects of the hydraulic nitrogen energy storage mechanism are defined as follows: If there are oil stains on the pipeline, the leakage rate is less than 5 seconds per drop, and the oil level in the tank is normal, it is defined as a serious defect; When oil stains or oil leakage points appear in the hydraulic mechanism pipeline, the oil leakage rate is greater than 5 seconds per drop, and the oil level in the oil tank is normal, it is defined as a general defect; Step 7: Output the hydraulic mechanism oil leakage signal and defect level through the display module, which also includes sound and light alarm.

2. A method for detecting oil leakage of a hydraulic nitrogen energy storage mechanism of a circuit breaker according to claim 1, characterized in that: In step 4, a time series prediction model for oil leakage is established, which includes the following steps: Step 4.1, select the autoregressive moving average ARMA model as the time series forecasting model and determine the order; Step 4.2, determine the order of the oil leakage time series prediction model, and estimate the parameters of the oil leakage time series prediction model by the least square method; Step 4.3, conduct a significance test on the model to verify the effectiveness of the model and obtain the oil leakage time series prediction model.

3. A method for detecting oil leakage of a hydraulic nitrogen energy storage mechanism of a circuit breaker according to claim 1, characterized in that: Monitor the oil leakage operation status of the circuit breaker hydraulic mechanism, specifically: An oil leakage sensing element is installed inside the hydraulic oil tank of the circuit breaker to continuously detect the oil condition inside the tank through the oil leakage sensing element; if the oil leakage sensing element detects oil leakage, an oil leakage signal is generated; if the oil leakage sensing element does not detect oil leakage, a no leakage signal is generated.

4. A method for detecting oil leakage of a hydraulic nitrogen energy storage mechanism of a circuit breaker according to claim 1, characterized in that: Based on the oil leakage signal, the oil leakage weight information at each moment is collected to form the oil leakage time series data; specifically: Set the collection cycle, divide the collection cycle into a number of collection moments i, i is a positive integer, and the interval between two adjacent collection moments is t; The leaked oil is collected through a container, and the weight Xi of the leaked oil in the container at each collection moment is obtained in real time through a weight sensor to obtain a (ti, Xi) sequence, which is recorded as the oil leakage time series data.

5. A method for detecting oil leakage of a hydraulic nitrogen energy storage mechanism of a circuit breaker according to claim 4, characterized in that: Preprocess the time series data and perform a stationarity test to obtain the status signal, specifically: Obtain the oil leakage weight data at each collection moment within the collection period, obtain the difference between the oil leakage weights at two adjacent collection moments, obtain the oil leakage difference, calculate the variance value of all the oil leakage differences within the collection period by using the variance calculation formula, obtain the oil difference stability value, and compare the oil difference stability value with the preset oil difference stability threshold; If the difference stability value is greater than or equal to the preset oil difference stability threshold, it means that the oil difference stability value within the collection period exceeds the standard, the oil leakage rate is unstable, and an unstable signal is generated; On the contrary, if the difference stability value is less than the preset oil difference stability threshold, it means that the oil difference stability value within the collection period does not exceed the standard, the oil leakage rate is stable, and a stable signal is generated.

6. A method for detecting oil leakage of a hydraulic nitrogen energy storage mechanism of a circuit breaker according to claim 5, characterized in that: Preprocessing of time series data, specifically: Obtain the oil spill weight data at each collection moment within the collection cycle, clean the collected data, remove duplicates, and check and delete duplicate records in the data.

7. A method for detecting oil leakage of a hydraulic nitrogen energy storage mechanism of a circuit breaker according to claim 6, characterized in that: Establish a time series prediction model for oil leakage; specifically: Select the time series forecasting model and adopt the autoregressive moving average ARMA model; The oil leakage time series data of the acquisition period is imported into the Python library to draw the autocorrelation function ACF diagram and the partial autocorrelation function PACF diagram. The autoregressive order p is determined by observing the position of the tail or truncation in the autocorrelation function ACF diagram; the moving average order q is determined by observing the position of the truncation in the partial autocorrelation function PACF diagram; the formula The predicted weight Xt of oil leakage in the container at time t is obtained; among them, p and q are the autoregressive order and moving average order of the model; φ and θ are non-zero preset coefficients; εt is an independent error term.

8. A device for detecting oil leakage of a hydraulic nitrogen energy storage mechanism of a circuit breaker, using a method for detecting oil leakage of a hydraulic nitrogen energy storage mechanism of a circuit breaker according to any one of claims 1 to 7, characterized in that: include: An oil leakage collection module (100) is used to collect the oil leakage of the hydraulic nitrogen energy storage mechanism of the circuit breaker through a container and generate a state signal, wherein the state signal includes an oil leakage signal and a no leakage signal; A data processing module (200) is connected to the container and is used to perform data conversion on the collected oil leakage signal to generate oil leakage time series data; The control module (300) is connected to the data processing module (200) and is used to calculate the defect level caused by the oil leakage according to the standard value and output the result.

9. A device for detecting oil leakage of a hydraulic nitrogen energy storage mechanism of a circuit breaker according to claim 8, characterized in that: It also includes a display module (400), which is connected to the control module (300) and is used to visually display the output results.

10. The device for detecting oil leakage of hydraulic nitrogen energy storage mechanism of circuit breaker according to claim 8, characterized in that: It also includes an alarm module (500), which is connected to the control module (300) and emits an audible and visual alarm when the output result is oil leakage.

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