An Adaptive Diagnosis Method and System for Overheating Defect Fault of Main Transformer

Abstract

The present invention discloses an adaptive diagnosis method and system for the overheating defect fault of a main transformer. An adaptive diagnosis method for the overheating defect fault of a main transformer includes the following steps: S1, analyzing the main overheating reasons inside the main transformer; S2, determining the triggering conditions of the heat generation amount of the main transformer and calculating the load amount of the transformer; S3, comparing the load amount of the transformer with the actually measured heat generation amount within a unit time; S4, judging the state of the main transformer according to the comparison result and making adaptive adjustments; An adaptive diagnosis system for the overheating defect fault of a main transformer is also proposed. The present invention solves the problem that the existing transformer equipment cannot be solved in time when overheating inside. After confirming the main overheating reasons inside the main transformer, the present invention calculates the load amount of the transformer, compares it with the actually measured heat generation amount within a unit time, and obtains a judgment result. The present invention can maintain the balanced temperature change state inside the transformer equipment and prevent power resource waste caused by overheating inside the transformer.

Description

Technical Field

[0001] The present invention relates to the technical field of substation management, and particularly to a method and system for self - adapting diagnosis of main transformer overheating defect faults. Background Art

[0002] Due to changes in external factors such as the external environment, working hours, and processing materials, the internal structure of the transformer will generate obvious heat, resulting in serious waste of electric power resources. The traditional indication monitoring - type diagnosis system extracts the temperature indication information inside the transformer through real - time acquisition, and then realizes the diagnosis and investigation of defect fault behaviors with the help of a remote terminal. However, the ability of this system to solve the problem of overheating inside the transformer equipment is limited and cannot fully meet the actual application requirements.

[0003] The "Monitoring Method and Monitoring System for Transformer Overheating Faults" disclosed in the Chinese patent literature, with the publication number CN103278244B, relates to a monitoring method and monitoring system for transformer overheating faults. It solves the technical problems such as the irrationality of the prior art. This monitoring method includes the following steps: A. Acquisition of thermal imaging map; B. Image recognition and processing; C. Fault judgment and processing. However, the Chinese patent with the publication number CN103278244B only involves the monitoring process and does not involve the handling of faults. Summary of the Invention

[0004] The present invention solves the problem that the existing transformer equipment cannot be solved in time when overheating inside, and proposes a method and system for self - adapting diagnosis of main transformer overheating defect faults. After confirming the main overheating reasons inside the main transformer, calculate the transformer load and compare it with the actually measured heat generation amount per unit time to obtain a judgment result. The present invention can maintain the balanced temperature change state inside the transformer equipment and prevent the waste of electric power resources caused by overheating inside the transformer.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions: A method for self - adapting diagnosis of main transformer overheating defect faults, including the following steps:

[0006] S1. Analyze the main overheating reasons inside the main transformer;

[0007] S2. Determine the condition for the main transformer to generate heat, and calculate the transformer load;

[0008] S3. Compare the transformer load with the actually measured heat generation amount per unit time;

[0009] S4. Determine the state of the main transformer according to the comparison result and make self - adapting adjustments.

[0010] In the present invention, a process for self-adaptive diagnosis of internal overheating defects and faults of a transformer is realized according to the processing steps of analyzing the reasons for internal overheating of the main transformer, calculating the load of the transformer, and comparing data. First, historical information is statistically analyzed to confirm the main reasons for internal overheating of the main transformer. After selecting the main reasons for overheating, the load of the transformer is obtained from the conditions causing the heat generation of the main transformer. The load of the transformer in the present invention refers to the maximum heat generation value that the transformer equipment components can bear per unit time. After the calculation, the load of the transformer is compared with the measured heat generation in unit time for judgment. The state of the main transformer is analyzed based on the judgment result, and corresponding treatment methods are taken. Compared with the traditional diagnosis method, the analysis and diagnosis results of this process are accurate.

[0011] Preferably, the step S1 includes the following steps:

[0012] S11, statistically analyze and classify the historical overheating defect and fault information of the main transformer;

[0013] S12, obtain the main reasons for internal overheating of the main transformer from the statistical and classification results, and divide them according to the severity level, namely, changes in signal chromatogram data, excessive power consumption energy, and excessive heat generation of the submerged oil pump. In the present invention, after screening and statistically analyzing thousands of historical overheating defect and fault information of the main transformer, the main reasons for internal overheating of the main transformer are selected. Among them, the change in signal chromatogram data is the internal heating problem of the transformer caused by the excessive increase of CO and CO2. Due to its extremely strong reaction ability, the internal heating problem of the transformer caused by this condition is the most serious; excessive power consumption energy is one of the main reasons for internal heating of the transformer. Since the transformer components are often connected to the high-voltage power grid lines, a large amount of electrons can accumulate in the transmission wires under the voltage drop behavior during the transmission of electrons. Therefore, with the subsequent generation of consumption instructions, these electron amounts will directly enter the transformer equipment and form a high-level electron operation flow field inside; excessive heat generation of the submerged oil pump belongs to a relatively difficult-to-trigger internal heating reason of the transformer. Since the main body of the transformer structure is relatively evenly heated, if there is no multi-point grounding or excessive core grounding current, this event will not occur.

[0014] Preferably, the step S2 includes the following steps:

[0015] S21, the condition for the main transformer to generate heat is triggered by at least one of the main reasons for overheating. Define the number of times the condition for the main transformer to generate heat is triggered as i, and the value of i ranges from 1 to N, where N is a natural number greater than 1;

[0016] S22, according to the condition for the main transformer to generate heat and the reason for overheating, calculate the extreme value of the heat generation in the case of internal overheating defects and faults, specifically as follows:

[0017]

[0018] β = ai

[0019] Among them, E1, E2, and E3 respectively represent three different main transformer heat generation cause coefficients, M represents the electronic quantity transmission coefficient, β represents the heat energy consumption index, a is the energy consumption coefficient, K min , K max represent the minimum and maximum heat bearing capacity coefficient values of the transformer equipment;

[0020] S23, calculate the transformer load L, specifically as follows:

[0021]

[0022] In a power transmission cycle, r0 represents the minimum transformer heat generation diagnosis coefficient, r n represents the maximum transformer heat generation diagnosis coefficient, n represents the adaptive evaluation permission value, represents the average heat generation value of the transformer equipment per unit time. In the present invention, according to different main transformer heat generation cause coefficients, heat energy consumption indexes, etc., the extreme value of heat generation is first calculated, and then the final transformer load is obtained according to the heat generation diagnosis coefficient, etc.

[0023] Preferably, the main transformer heat generation triggering condition is specifically: according to the severity, weights are determined for the main overheating causes. The weight of the signal chromatogram data change is 3, the weight of the excessive power consumption is 2, and the weight of the excessive heat generation of the submersible oil pump is 1. Then, according to the main overheating causes and the weights, the main transformer heat generation triggering condition is determined. The specific value of N is determined by the specific weights of the main overheating causes. In the present invention, specifically, since the total weight is 6, N is taken as 6, and the number of times of the main transformer heat generation triggering condition is from 1 to 6.

[0024] Preferably, the step S3 includes the following steps:

[0025] S31, obtain the measured heat generation Q per unit time, specifically

[0026]

[0027] Among them, T1 is the average temperature of the internal oil tank, T is the indoor temperature, M is the heat dissipation area of the oil tank, and t is the unit time;

[0028] S32, store the measured heat generation per unit time into the storage database, and compare and judge it with the transformer load L. The comparison and judgment results are also stored in the storage data. In the present invention, the measured heat generation needs to be obtained according to information such as the oil tank temperature and the indoor temperature. If the indoor temperature is inconsistent per unit time, the average value is taken.

[0029] Preferably, step S4 is specifically as follows: If Q > L, the main transformer is in a controllable working state and is adjusted by the temperature control device; if Q < L, the main transformer is in an uncontrollable state, and shutdown adjustment is required. In the present invention, when the main transformer is controllable, the temperature control device adjusts the temperature, and the temperature control device is controlled by the signal source device. Under the action of the two grounding resistances of the signal source device, the coordination of the temperature control device is achieved.

[0030] A self - adaptive diagnostic system for main transformer overheating defect faults, applicable to the above - mentioned self - adaptive diagnostic method for main transformer overheating defect faults, includes a signal source device. The signal source device is connected to a fault indicator, and both the signal source device and the fault indicator are connected to a diagnostic server, and the diagnostic server is connected to a storage database. In the present invention, the signal source device is used to emit necessary power transmission signals, gather these physical information quantities in the fault indicator element, and then, with the help of the diagnostic server, realize the real - time comparison and judgment of the operating temperature of the transformer.

[0031] Preferably, the signal source device is connected to the high - voltage power output terminal of the main transformer and includes a resistor R1 and a resistor R2. One end of the resistor R1 is connected to a control switch, the other end of the resistor R1 is grounded, one end of the resistor R2 is connected to a signal source band, the other end of the resistor R2 is grounded, and the signal source band is also connected to a plurality of signal source input bands; the signal source device is used to adjust the temperature control device. In the present invention, within the unit transmission time, two different grounding resistance elements are respectively connected to the control switch and the signal source band. The former can concentrate on consuming the remaining self - adaptive current while sensing the temperature change inside the transformer, and the latter is mainly responsible for precisely debugging the output power signal source, so that the internal electronic transmission environment of the system always maintains a relatively stable application state. On the right side inside the signal source device, a plurality of input band structures are concentratedly distributed, and as the voltage value level borne by the transformer equipment increases, the oscillation behavior of these physical bands will gradually become more obvious until the actual internal temperature value of the transformer equipment reaches the rated standard value.

[0032] Preferably, the storage database is used to store the measured calorific value within a unit time and the comparison result between the transformer load and the measured calorific value within a unit time. In the present invention, the storage database is inside the diagnostic server or is an independent storage database.

[0033] Preferably, the diagnostic server is used for the comparison between the transformer load and the measured calorific value within a unit time and the transmission of information. In the present invention, the diagnostic server can also receive the internal information of the main transformer to monitor the main transformer.

[0034] The beneficial effects of the present invention are as follows: For an adaptive diagnosis method and system for main transformer overheating defect faults of the present invention, after confirming the main overheating reasons inside the main transformer, the transformer load is calculated and compared with the actually measured heat generation amount per unit time to obtain a judgment result. The present invention can maintain the balanced temperature change state inside the transformer equipment and prevent the waste of power resources caused by overheating inside the transformer; at the same time, compared with the diagnosis of traditional indication monitoring type diagnosis systems, the analysis and diagnosis results are more accurate. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 is a flowchart of the method for an adaptive diagnosis method and system for main transformer overheating defect faults of the present invention;

[0036] Figure 2 is a schematic structural diagram of the system for an adaptive diagnosis method and system for main transformer overheating defect faults of the present invention;

[0037] Figure 3 is a partial circuit diagram of the signal source device for an adaptive diagnosis method and system for main transformer overheating defect faults of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0038] Embodiment 1:

[0039] This embodiment provides an adaptive diagnosis method for main transformer overheating defect faults. Referring to Figure 1 , it includes the following multiple steps. Step S1: Analyze the main overheating reasons inside the main transformer; specifically, this step includes the following two steps. Step S11: Statistically analyze and classify the historical overheating defect fault information of the main transformer.

[0040] Step S12: Obtain the main overheating reasons inside the main transformer according to the statistical and classification results, and divide them according to the severity level, which are sequentially the change of signal chromatogram data, excessive power consumption energy, and excessive heat generation of the submersible oil pump. Among them, the change of signal chromatogram data is the most serious.

[0041] In the present invention, after screening and statistics of thousands of historical overheating defect fault information of main transformers, the main overheating reasons inside the main transformers are selected. Among them, the change in signal chromatographic data is due to the excessive increase in CO and CO2, which causes internal heating problems of the transformer. Due to its extremely strong reaction ability, the internal heating problems of the transformer caused by this condition are the most serious. Excessive power consumption is one of the main reasons for internal heating of the transformer. Since transformer components are often connected to high-voltage power grid lines, a large amount of electrons can accumulate in the transmission wires under the voltage drop behavior during electron transmission. Therefore, with the generation of subsequent consumption instructions, these electron amounts will directly enter the transformer equipment and form a high-level electron operation flow field inside it. Excessive heat generation of the submerged oil pump belongs to a relatively difficult-to-trigger reason for internal heating of the transformer. Since the main body of the transformer structure is relatively evenly heated, if there is no multi-point grounding or excessive core grounding current, this event will not occur.

[0042] Step S2: Determine the triggering conditions of the main transformer heat generation, and calculate the transformer load according to the triggering conditions of the main transformer heat generation. It mainly includes the following steps. Step S21: Regarding the triggering conditions of the main transformer heat generation, which are triggered by at least one of the main overheating reasons, determine the number of times of the triggering conditions of the main transformer heat generation, denoted by i, where the value of i ranges from 1 to N, and N is a natural number greater than 1. In this embodiment, N is taken as 6.

[0043] Step S22: Obtain the extreme value V of the heat generation under the condition of internal overheating defect fault from the triggering conditions of the main transformer heat generation and the overheating reasons:

[0044]

[0045] β = ai

[0046] In the above formula, E1, E2, and E3 are the coefficient of three different main transformer heat generation reasons respectively, M is the microelectron quantity transmission coefficient, β is the heat energy consumption index, a represents the energy consumption coefficient, and K min 、K max are the minimum and maximum heat bearing capacity coefficient values of the transformer equipment respectively. Specifically, in this embodiment, a is taken as 2.5.

[0047] Step S23: Finally, calculate the transformer load L, and the specific formula is:

[0048]

[0049] Among them, r0 is the minimum transformer heat generation diagnosis coefficient, r n is the maximum transformer heat generation diagnosis coefficient, and n is the adaptive evaluation permission value. It is the average heat generation of the transformer equipment per unit time. In the present invention, according to different main transformer heat generation cause coefficients, heat energy consumption indexes, etc., the extreme value of heat generation is first calculated, and then the final transformer load is obtained according to the heat generation diagnosis coefficient, etc.

[0050] More specifically, for the conditions for the main transformer to generate heat, mainly: according to the severity, weights are determined for the main overheating reasons. Specifically, the weight of the change in signal chromatogram data is represented as 3, the weight of excessive power consumption is represented as 2, and the weight of excessive heat generation of the submerged oil pump is represented as 1. Then, the conditions for the main transformer to generate heat are determined from the main overheating reasons and weights. The specific value of N is determined by the specific weights of the main overheating reasons. In this embodiment, specifically, since the total weight is 6, N is taken as 6, and the number of times of the main transformer heat generation triggering condition is from 1 to 6.

[0051] Step S3, compare the transformer load with the actually measured heat generation per unit time; specifically, it includes two sub-steps. Step S31, first obtain the actually measured heat generation Q per unit time, as shown in the following formula:

[0052]

[0053] In the above formula, T1 represents the average temperature of the internal oil tank, T represents the indoor temperature, M represents the heat dissipation area of the oil tank, and t represents the unit time; among them, within the unit time, if the indoor temperatures are inconsistent, the average value is taken.

[0054] Step S32, send and store the actually measured heat generation per unit time in the storage database, and then compare and judge it with the transformer load L, and the comparison and judgment results are also stored in the storage data. In the present invention, the actually measured heat generation needs to be calculated based on information such as the oil tank temperature and the indoor temperature.

[0055] Step S4, judge the state of the main transformer from the comparison result, and finally make an adaptive adjustment; specifically, in this step, if Q > L, the main transformer is in a controllable working state and is adjusted by the temperature control device; if Q < L, the main transformer is in an uncontrollable state and needs to be shut down for adjustment. In the present invention, when the main transformer is controllable, the temperature control device adjusts the temperature, and the temperature control device is controlled by the signal source device. Under the action of the two grounding resistances of the signal source device, the coordination of the temperature control device is realized.

[0056] In the present invention, a process for realizing the adaptive diagnosis of the overheating defect fault inside the main transformer is achieved according to the processing steps of analyzing the reasons for overheating inside the main transformer, calculating the transformer load, and comparing data. First, historical information is statistically analyzed to confirm the main reasons for overheating inside the main transformer. After selecting the main reasons for overheating, the transformer load is obtained from the conditions causing the heat generation of the main transformer. The transformer load in the present invention refers to the maximum heat generation value that the transformer equipment components can bear per unit time. After the calculation, the transformer load is compared with the actually measured heat generation per unit time for judgment. Based on the judgment result, the state of the main transformer is analyzed and corresponding treatment methods are taken. Compared with the traditional diagnosis method, the analysis and diagnosis results of this process are accurate.

[0057] The present invention also proposes an adaptive diagnosis system for the overheating defect fault of the main transformer, which is applicable to the above-mentioned adaptive diagnosis method for the overheating defect fault of the main transformer. Refer to Figure 2 , and mainly includes a signal source device, a fault indicator, a diagnostic server, and a storage database. The signal source device is connected to the fault indicator, and the signal source device and the fault indicator are connected to the diagnostic server, and the diagnostic server is connected to the storage database. In this embodiment, the signal source device is used to send necessary power transmission signals, and these physical information quantities are aggregated in the fault indicator component, and then with the help of the diagnostic server, the real-time comparison and judgment of the operating temperature of the transformer are realized.

[0058] Refer to Figure 3 , the signal source device is connected to the high-voltage power output terminal of the main transformer, and mainly includes a resistor R1 and a resistor R2. One end of the resistor R1 is connected to a control switch, the other end of the resistor R1 is grounded, one end of the resistor R2 is connected to a signal source band, and the other end of the resistor R2 is grounded. The signal source band is also connected to a plurality of signal source input bands; the signal source device is used to adjust the temperature control device.

[0059] In this embodiment, within the unit transmission time, two different grounding resistor components are respectively connected to the control switch and the signal source band. The former can concentrate on consuming the remaining adaptive current while sensing the temperature change inside the transformer, and the latter is mainly responsible for precisely debugging the output power signal source, so that the internal electronic transmission environment of the system always maintains a relatively stable application state. On the right side inside the signal source device, a plurality of input band structures are centrally distributed, and as the voltage value level borne by the transformer equipment increases, the oscillation behavior of these physical bands will gradually become more obvious until the actual internal temperature value of the transformer equipment reaches the rated standard value.

[0060] The storage database is used to store the measured calorific value per unit time and the comparison result between the transformer load and the measured calorific value per unit time. The storage database is either inside the diagnostic server or an independent storage database. In this embodiment, the storage database is outside the diagnostic server and is connected to the diagnostic server.

[0061] The diagnostic server is used for the comparison between the transformer load and the measured calorific value per unit time and the transmission of information. In this embodiment, the diagnostic server can also receive the internal information of the main transformer to monitor the main transformer.

[0062] The fault indicator in the present invention is composed of three forms: DC type, AC type, and sympathetic change type. Among them, the connection adaptability of the DC type fault indicator is relatively weak, and it can only load DC type transformer application equipment. When the stable value of the physical performance in the component continuously increases, this type of equipment is extremely prone to a fuse change state, thus exacerbating the manifestation intensity of the thermal defect behavior. The connection adaptability of the AC type fault indicator has a certain changeability, but it can only load AC type transformer application equipment. When the stable value of the physical performance in the component continuously increases, this type of equipment can maintain a relatively stable connection state for a long time. Therefore, it can have a certain inhibitory effect on the manifestation intensity of the thermal defect behavior, thereby providing more reference information conditions for the adaptive diagnostic system.

[0063] Embodiment 2:

[0064] Under the same basic conditions as in Embodiment 1, the present invention uses a three-phase five-column transformer as the experimental equipment and connects it to the application environments of the main transformer overheating defect fault adaptive diagnostic system and the indication monitoring type diagnostic system of the present invention respectively. The former is used as the experimental group and the latter is used as the control group.

[0065] Generally, the higher the values of the DC resistance average and the current climb, the more obvious the upward trend of the transformer internal temperature value (in the distribution network environment, the more obvious the overheating phenomenon inside the transformer, the more serious the resulting waste of electric power resources).

[0066] The following table records the specific change situations of the DC resistance average of the transformers in the experimental group and the control group at different voltage value levels.

[0067] Table 1 Comparison of DC resistance average of transformers

[0068]

[0069]

[0070] Analysis shows that as the voltage level loaded by the transformer increases, the average DC resistance of the experimental group and the average DC resistance of the control group basically show the same numerical change trend, but the overall numerical level of the experimental group is always lower than that of the control group. Simply from the perspective of the limit value, the stage maximum value of 77.87503 Ω of the experimental group is much lower than the stage maximum value of 89.94671 Ω of the control group. Therefore, the present invention can better control the rising change trend of the average DC resistance of the transformer and has a strong feasibility in stabilizing the temperature rise change inside the transformer.

[0071] The following table records the specific change situations of the current climbing amount values of the experimental group and the control group at different voltage levels.

[0072] Table 2 Comparison of Current Climbing Amount Values

[0073]

[0074] Analysis shows that as the voltage level loaded by the transformer increases, after a large increase in the current climbing amount value of the experimental group in the early stage of the experiment, it begins to gradually tend to a relatively stable form of existence; while the current climbing amount value of the control group always maintains a continuous upward change state. From the perspective of the limit value, the maximum value of 43.2 A of the experimental group is lower than 54.9 A of the control group, and a numerical stable state can exist for a period of time. Therefore, the present invention realizes a better suppression of the rising trend of the current climbing amount value and can better maintain the balanced temperature change state inside the transformer equipment.

[0075] The above embodiments are further elaborations and explanations of the present invention for the convenience of understanding, and are not any limitations on the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. An adaptive diagnosis method for the overheating defect fault of the main transformer, characterized in that, It includes the following steps: S1. Analyze the main overheating reasons inside the main transformer. The main overheating reasons are the change of signal chromatographic data, excessive power consumption, and excessive heat generation of the submerged oil pump; S2. Determine the triggering conditions of the main transformer heat generation and calculate the transformer load. First, calculate the extreme value of heat generation V, and then obtain the transformer load L according to the heat generation diagnosis coefficient. V is the extreme value of heat generation, which is the Mth power of 2 multiplied by the product of i from 0 to positive infinity, and then divided by the absolute value of the sum of three different main transformer heat generation cause coefficients; Take the product and then divide by the absolute value of the sum of three different main transformer heat generation cause coefficients; β is the product of the energy consumption coefficient and i, K min , K max are the minimum and maximum heat carrying capacity coefficient values of the transformer equipment; M is the electronic quantity transmission coefficient; L is equal to multiplied by the definite integral of n with respect to the integral component on the integral [r0, r n , where r0 and r are the minimum and maximum transformer heat generation diagnosis coefficients, n is the adaptive evaluation permission value, and is the average heat generation value of the transformer equipment per unit time; S3. Compare the transformer load with the measured heat generation Q per unit time; S4. Determine the state of the main transformer according to the comparison result and make an adaptive adjustment. If Q > L, the main transformer is in a controllable working state, and the temperature control device makes an adjustment. If Q < L, the main transformer is in an uncontrollable state, and shutdown adjustment is carried out.

2. The self-adaptive diagnosis method for the main transformer overheating defect fault according to claim 1, characterized in that The step S1 includes the following steps: S11. Statistically analyze and classify the historical overheating defect fault information of the main transformer; S12. Obtain the main overheating reasons inside the main transformer from the statistical and classification results. According to the severity level, they are respectively the change of signal chromatographic data, excessive power consumption, and excessive heat generation of the submerged oil pump.

3. The self-adaptive diagnosis method for the main transformer overheating defect fault according to claim 1 or 2, characterized in that, The step S2 includes the following steps: S21. The condition for the main transformer to generate heat is triggered by at least one of the main overheating reasons. Define the number of times the condition for the main transformer to generate heat is triggered as i, and the value of i ranges from 1 to N, where N is a natural number greater than 1; S22. According to the condition for the main transformer to generate heat and the overheating reasons, calculate the extreme value of the heat generation in the case of internal overheating defect faults, specifically as follows: β = ai Among them, E1, E2, and E3 respectively represent the heat generation reason coefficients of three different main transformers, β represents the heat energy consumption index, and a is the energy consumption coefficient; S23. Calculate the transformer load L, specifically as follows:

4. The adaptive diagnostic method for the main transformer overheating defect fault according to claim 3, wherein, The specific condition for the main transformer to generate heat is: According to the severity level, determine the weights for the main overheating reasons. The weight of the change of signal chromatographic data is 3, the weight of excessive power consumption is 2, and the weight of excessive heat generation of the submerged oil pump is 1. Then, determine the condition for the main transformer to generate heat according to the main overheating reasons and the weights. The specific value of N is determined by the specific weights of the main overheating reasons.

5. The self-adaptive diagnosis method for main transformer overheating defect faults according to claim 3, characterized in that, The step S3 includes the following steps: S31. Obtain the measured heat generation Q per unit time, specifically where T1 is the average temperature of the internal oil tank, T is the indoor temperature, M is the heat dissipation area of the oil tank, and t is the unit time; S32. Store the measured heat generation per unit time in the storage database, and compare it with the transformer load L. The comparison result is also stored in the storage data.

6. A main transformer overheating defect fault adaptive diagnosis system, applicable to the main transformer overheating defect fault adaptive diagnosis method described in claim 1 or 2 or 4 or 5, characterized in that, It includes a signal source device. The signal source device is connected to a fault indicator. Both the signal source device and the fault indicator are connected to a diagnostic server, and the diagnostic server is connected to a storage database.

7. An adaptive diagnosis system for main transformer overheating defect faults according to claim 6, characterized in that, The signal source device is connected to the high-voltage power output terminal of the main transformer and includes a resistor R1 and a resistor R2. One end of the resistor R1 is connected to a control switch, the other end of the resistor R1 is grounded, one end of the resistor R2 is connected to a signal source band, the other end of the resistor R2 is grounded, and the signal source band is also connected to a plurality of signal source input bands. The signal source device is used to adjust the temperature control device.

8. The self-adaptive diagnosis system for main transformer overheating defect faults according to claim 6, wherein The storage database is used to store the measured heat generation per unit time and the comparison result between the transformer load and the measured heat generation per unit time.

9. An adaptive diagnosis system for main transformer overheating defect faults according to claim 6, characterized in that, The diagnostic server is used to compare the transformer load with the measured heat generation per unit time and transmit information.

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