A data processing method for a multi-parameter transformer insulating oil online monitoring system

Abstract

The present invention relates to the technical field of transformer insulating oil monitoring, and in particular to a data processing method for a multi-parameter transformer insulating oil online monitoring system, comprising: obtaining target acquisition data from each sensor acquisition module included in the system, and judging whether a parameter detected by each sensor acquisition module has experienced a sudden change based on the target acquisition data; if the number of sensor acquisition modules with sudden changes in the detected parameters is 0, determining the current breakdown voltage of the transformer insulating oil based on the current acquisition data of the acid value detection sensor acquisition module and a first relationship model; otherwise, determining the current breakdown voltage based on the current acquisition data of the acid value detection sensor acquisition module, the dielectric constant detection sensor acquisition module, and the volume resistivity detection sensor acquisition module. The present invention can obtain the breakdown voltage of the transformer insulating oil by utilizing data fusion of the system's built-in multi-parameter detection sensors, and can also obtain other important parameters of the transformer insulating oil based on similar methods.

Description

Technical Field

[0001] The present invention relates to the technical field of transformer insulating oil monitoring, in particular to a data processing method for a multi-parameter transformer insulating oil online monitoring system. Background Art

[0002] Transformers are critical equipment in power systems, and insulating oil plays a crucial role in insulation and heat dissipation. The breakdown voltage of transformer insulating oil refers to the voltage at which the oil breaks down under specified test conditions. This is one of the most important parameters of transformer insulating oil. If the breakdown voltage is too low, it can cause a short circuit failure within the transformer. However, in practical applications, it is difficult to measure the breakdown voltage of transformer insulating oil by applying high voltage to it. Therefore, how to reduce the difficulty of obtaining the breakdown voltage of transformer insulating oil is an urgent problem to be solved. Summary of the Invention

[0003] The present invention aims to provide a data processing method for a multi-parameter transformer insulating oil online monitoring system, so as to obtain the breakdown voltage of the transformer insulating oil based on data of other parameters of the transformer insulating oil, thereby reducing the difficulty of obtaining the breakdown voltage of the transformer insulating oil.

[0004] According to the present invention, a data processing method for a multi-parameter transformer insulating oil online monitoring system is provided. The multi-parameter transformer insulating oil online monitoring system includes several sensor acquisition modules, including an acid value detection sensor acquisition module, a dielectric constant detection sensor acquisition module, and a volume resistivity detection sensor acquisition module. The method includes the following steps:

[0005] S100, acquiring target acquisition data of each sensor acquisition module included in the multi-parameter transformer insulating oil online monitoring system; the target acquisition data includes current acquisition data and historical acquisition data.

[0006] S200 , judging whether a parameter detected by each sensor acquisition module has a sudden change according to the target acquisition data of each sensor acquisition module.

[0007] S300: Obtain the number q of sensor acquisition modules whose detected parameters have sudden changes.

[0008] S400, if q=0, determine the current breakdown voltage of the transformer insulating oil based on the current collected data of the acid value detection sensor acquisition module and the preset first relationship model; otherwise, enter S500; the first relationship model is used to characterize the relationship between the acid value and the breakdown voltage of the transformer insulating oil.

[0009] S500 , determining a current breakdown voltage of transformer insulating oil according to current collected data of the acid value detection sensor acquisition module, current collected data of the dielectric constant detection sensor acquisition module, and current collected data of the volume resistivity detection sensor acquisition module.

[0010] The present invention has at least the following beneficial effects:

[0011] The present invention indirectly determines the breakdown voltage of the transformer insulating oil based on data of other parameters detected by other sensor acquisition modules included in the multi-parameter transformer insulating oil online monitoring system. There is no need to use high voltage to apply to the transformer insulating oil to detect the breakdown voltage of the transformer insulating oil, which reduces the difficulty of obtaining the breakdown voltage of the transformer insulating oil and can monitor the breakdown voltage in a portable and online system. Specifically, when no sudden changes occur in the parameters detected by any sensor acquisition module included in the multi-parameter transformer insulating oil online monitoring system, the current breakdown voltage of the transformer insulating oil is determined based on the current acquired data of the acid value detection sensor acquisition module. This can further reduce the difficulty of obtaining the current breakdown voltage while ensuring the accuracy of obtaining the current breakdown voltage, and further improve the efficiency of obtaining the current breakdown voltage. When a sudden change occurs in the parameters detected by some sensor acquisition modules included in the multi-parameter transformer insulating oil online monitoring system, the current breakdown voltage of the transformer insulating oil is determined based on the current acquired data of a larger number of sensor acquisition modules, which can effectively ensure the accuracy of the obtained current breakdown voltage.

[0012] Furthermore, the acid value sensor of the present invention can take different forms in portable and online monitoring systems. For example, the acid value sensor in a portable system can be implemented using a reagent and a colorimetric reagent in combination with a colorimetric detection sensor acquisition module. In an online system, the acid value can also be indirectly measured. For example, the acid value can be obtained using a water-soluble acid detection sensor acquisition module, a moisture detection sensor acquisition module, a dielectric constant detection sensor acquisition module, a volume resistivity detection sensor acquisition module, a colorimetric detection sensor acquisition module, an appearance detection sensor acquisition module, and a particle contamination detection sensor acquisition module, using a method similar to the above-described method for obtaining the breakdown voltage. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0014] Figure 1 This is a flow chart of a data processing method for a multi-parameter transformer insulating oil online monitoring system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0015] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making any creative efforts shall fall within the scope of protection of the present invention.

[0016] According to the present invention, a data processing method for a multi-parameter transformer insulating oil online monitoring system is provided, wherein the multi-parameter transformer insulating oil online monitoring system comprises a plurality of sensor acquisition modules, wherein the plurality of sensor acquisition modules comprises an acid value detection sensor acquisition module, a dielectric constant detection sensor acquisition module, and a volume resistivity detection sensor acquisition module; the method comprises the following steps: Figure 1 As shown:

[0017] S100, acquiring target acquisition data of each sensor acquisition module included in the multi-parameter transformer insulating oil online monitoring system; the target acquisition data includes current acquisition data and historical acquisition data.

[0018] In this embodiment, the multi-parameter transformer insulating oil online monitoring system includes greater than or equal to 3 sensor acquisition modules, and different sensor acquisition modules detect different parameters. Except for the acid value detection sensor acquisition module, the dielectric constant detection sensor acquisition module, and the volume resistivity detection sensor, the multi-parameter transformer insulating oil online monitoring system does not include other sensor acquisition modules, or includes at least one of the following sensor acquisition modules: a colorimetry detection sensor acquisition module, an appearance detection sensor acquisition module, a particle contamination detection sensor acquisition module, an interfacial tension detection sensor acquisition module, a water-soluble acid detection sensor acquisition module, a moisture detection sensor acquisition module, a corrosive sulfur detection sensor acquisition module, a disulfide detection sensor acquisition module, a temperature detection sensor acquisition module, a sludge and sediment detection sensor acquisition module, and an antioxidant additive detection sensor acquisition module.

[0019] As a specific embodiment, the multi-parameter transformer insulating oil online monitoring system also includes a detection cavity, which has a rectangular structure. In order to improve the detection accuracy, the acid value detection sensor acquisition module, the dielectric constant detection sensor acquisition module and the volume resistivity detection sensor acquisition module are arranged at the bottom of the detection cavity with the sensitive surface facing upward. If the multi-parameter transformer insulating oil online monitoring system also includes a moisture detection sensor acquisition module, a colorimetry detection sensor acquisition module, an appearance detection sensor acquisition module, a particle contamination detection sensor acquisition module, an interfacial tension detection sensor acquisition module, a water-soluble acid detection sensor acquisition module, a corrosive sulfur detection sensor acquisition module, a disulfide detection sensor acquisition module, a temperature detection sensor acquisition module, an oil sludge and sediment detection sensor acquisition module, and an antioxidant additive detection sensor acquisition module, in order to improve the detection accuracy, their installation positions are as follows: the moisture detection sensor acquisition module is arranged at the bottom of the detection cavity with the sensitive surface facing upward; the colorimetry detection sensor acquisition module and the appearance detection sensor acquisition module are arranged above the detection cavity with the sensitive surfaces facing downward; the particle contamination detection sensor acquisition module, the interfacial tension detection sensor acquisition module, the water-soluble acid detection sensor acquisition module, the corrosive sulfur detection sensor acquisition module, the disulfide detection sensor acquisition module, the temperature detection sensor acquisition module, the oil sludge and sediment detection sensor acquisition module, and the antioxidant additive detection sensor acquisition module are arranged on all sides around the detection cavity.

[0020] It should be understood that if the multi-parameter transformer insulating oil online monitoring system includes other sensor acquisition modules in addition to the acid value detection sensor acquisition module, the dielectric constant detection sensor acquisition module and the volume resistivity detection sensor acquisition module, then each sensor acquisition module included in the multi-parameter transformer insulating oil online monitoring system includes the above-mentioned other sensor acquisition modules in addition to the acid value detection sensor acquisition module, the dielectric constant detection sensor acquisition module and the volume resistivity detection sensor acquisition module.

[0021] In this embodiment, the currently collected data is data collected at the current collection moment, and the historically collected data is data collected at historical collection moments, where the historical collection moments are collection moments before the current collection moment.

[0022] As a preferred embodiment, before S100, the method further includes:

[0023] S010, obtaining a set of associated sensor acquisition modules of a designated sensor acquisition module; any sensor acquisition module in the associated sensor acquisition module set is a sensor acquisition module included in a multi-parameter transformer insulating oil online monitoring system, and parameters detected by any sensor acquisition module in the associated sensor acquisition module set are associated with parameters detected by the designated sensor acquisition module; the designated sensor is any sensor acquisition module included in the multi-parameter transformer insulating oil online monitoring system.

[0024] In this embodiment, the association relationship between the parameters detected by any sensor acquisition module and the parameters detected by other sensor acquisition modules is known, that is, the set of associated sensor acquisition modules corresponding to any sensor acquisition module is known and is prior knowledge.

[0025] The production of acid in transformer insulating oil, accompanied by the generation of polar molecules such as water and alcohol, can lead to an increase in dielectric loss parameters and a decrease in oil resistance. Specifically, the acid value is positively correlated with the dielectric constant and the inverse of the oil's impedance (conductivity). Furthermore, as acid is produced in transformer insulating oil, the color, appearance, and particle contamination of the transformer insulating oil also change. As a specific embodiment, when the designated sensor acquisition module is a dielectric constant detection sensor acquisition module, and the multiple sensor acquisition modules also include a colorimetry detection sensor acquisition module, an appearance detection sensor acquisition module, and a particle contamination detection sensor acquisition module, the elements of the associated sensor acquisition module set include the acid value detection sensor acquisition module, the volume resistivity detection sensor acquisition module, the colorimetry detection sensor acquisition module, the appearance detection sensor acquisition module, and the particle contamination detection sensor acquisition module.

[0026] When other parameters of the transformer insulating oil remain unchanged, the water content in the transformer insulating oil is positively correlated with the dielectric constant; when other parameters of the transformer insulating oil remain unchanged, the water content in the transformer insulating oil is negatively correlated with the volume resistivity; and the water content in the transformer insulating oil is negatively correlated with the interfacial tension. As a specific embodiment, when the multiple sensor acquisition modules also include a moisture detection sensor acquisition module and an interfacial tension detection sensor acquisition module, and the designated sensor acquisition module is a moisture detection sensor acquisition module, the elements in the associated sensor acquisition module set include the dielectric constant detection sensor acquisition module, the volume resistivity detection sensor acquisition module, and the interfacial tension detection sensor acquisition module.

[0027] When the water content in transformer insulating oil is between tens and hundreds of ppm, the higher the water content, the greater the proportion of soluble acid ionization and the lower the pH value. When the pH of transformer insulating oil is around 4, the lower the pH, the more sludge is present. As a specific embodiment, when the multiple sensor acquisition modules further include a moisture detection sensor acquisition module, a water-soluble acid detection sensor acquisition module, and a sludge and sediment detection sensor acquisition module, and the designated sensor acquisition module is a water-soluble acid detection sensor acquisition module, the elements of the associated sensor acquisition module set include the moisture detection sensor acquisition module and the sludge and sediment detection sensor acquisition module.

[0028] S020. If the designated sensor acquisition module and the associated sensor acquisition module meet a first preset condition, it is determined that the designated sensor acquisition module has a fault; the first preset condition includes: the current acquisition data of the designated sensor acquisition module undergoes a sudden change compared to the corresponding previous acquisition data, and the current acquisition data of each sensor acquisition module in the associated sensor acquisition module set does not undergo a sudden change compared to the corresponding previous acquisition data; or the current acquisition data of the designated sensor acquisition module does not change compared to the previous acquisition data, and the current acquisition data of each sensor acquisition module in the associated sensor acquisition module set changes compared to the previous acquisition data.

[0029] In this embodiment, the corresponding last collected data is the data collected at the corresponding last collection moment.

[0030] In this embodiment, a sudden change refers to a data change that is greater than or equal to a corresponding preset change threshold, and a change refers to a data change of 0. The preset change thresholds corresponding to different sensor acquisition modules may be the same or different, and the preset change threshold corresponding to any sensor acquisition module is a preset empirical value.

[0031] In this embodiment, if the designated sensor acquisition module and the associated sensor acquisition module do not meet the first preset condition, it is determined that the designated sensor acquisition module has not failed.

[0032] S030: If the designated sensor acquisition module fails, S100 is not executed, and information indicating the failure of the designated sensor acquisition module is output; otherwise, S100 is executed.

[0033] Based on S010-S030, the faulty sensor acquisition module can be identified, and subsequent steps are performed on the premise that all sensor acquisition modules are not faulty, which can improve the accuracy of the current breakdown voltage finally obtained.

[0034] S200 , judging whether a parameter detected by each sensor acquisition module has a sudden change according to the target acquisition data of each sensor acquisition module.

[0035] As a preferred embodiment, S200 includes:

[0036] S210, obtaining the data change value of each acquisition moment of the designated sensor acquisition module according to the target acquisition data of the designated sensor acquisition module; wherein the data change value at any acquisition moment is the difference between the data of the parameter detected at the acquisition moment and the data of the parameter detected at the corresponding previous acquisition moment; the designated sensor is any sensor acquisition module included in the multi-parameter transformer insulating oil online monitoring system.

[0037] S220, comparing the data change value of each acquisition moment of the designated sensor acquisition module with the corresponding threshold value. If the data change value at a certain acquisition moment is greater than or equal to the corresponding preset change threshold value, it is determined that a sudden change occurs in the parameter detected at the acquisition moment.

[0038] In this embodiment, if the data change value at a certain collection moment is less than the corresponding preset change threshold, it is determined that the parameter detected at the collection moment has not undergone a sudden change.

[0039] In this embodiment, the preset change thresholds corresponding to different sensor acquisition modules may be the same or different, and the preset change threshold corresponding to any sensor acquisition module is a preset empirical value.

[0040] S230 , if the parameters detected by the designated sensor acquisition module at all acquisition moments do not undergo a sudden change, it is determined that the parameters detected by the designated sensor acquisition module do not undergo a sudden change; otherwise, it is determined that the parameters detected by the designated sensor acquisition module undergo a sudden change.

[0041] Based on S210 - S230 , it is possible to accurately determine whether a sudden change occurs in the parameters detected by each sensor acquisition module.

[0042] S300: Obtain the number q of sensor acquisition modules whose detected parameters have sudden changes.

[0043] S400, if q=0, determine the current breakdown voltage of the transformer insulating oil based on the current collected data of the acid value detection sensor acquisition module and the preset first relationship model; otherwise, enter S500; the first relationship model is used to characterize the relationship between the acid value and the breakdown voltage of the transformer insulating oil.

[0044] In this embodiment, the preset first relationship model is obtained based on the first data set, wherein the first data set includes a plurality of first data groups, each of which includes a data representing an acid value and a data representing a breakdown voltage. Optionally, the first relationship model is obtained using a curve fitting method.

[0045] In this embodiment, in the preset first relationship model, the acid value is the independent variable and the breakdown voltage is the dependent variable; determining the current breakdown voltage of the transformer insulating oil according to the current acquisition data of the acid value detection sensor acquisition module and the preset first relationship model includes: substituting the current acquisition data of the acid value detection sensor acquisition module into the preset first relationship model, and determining the breakdown voltage obtained after substitution as the current breakdown voltage of the transformer insulating oil.

[0046] S500. Determine the current breakdown voltage of the transformer insulating oil according to the current acquisition data of the acid value detection sensor acquisition module, the current acquisition data of the dielectric constant detection sensor acquisition module, and the current acquisition data of the volume resistivity detection sensor acquisition module.

[0047] As a preferred specific embodiment, S500 includes:

[0048] S510. If the several sensor acquisition modules include a chromaticity detection sensor acquisition module, an appearance detection sensor acquisition module, and a particle contamination degree detection sensor acquisition module, then proceed to S520.

[0049] In this embodiment, if the several sensor acquisition modules do not simultaneously include a chromaticity detection sensor acquisition module, an appearance detection sensor acquisition module, and a particle contamination degree detection sensor acquisition module, then determine the current breakdown voltage of the transformer insulating oil according to the current acquisition data of the acid value detection sensor acquisition module, the current acquisition data of the dielectric constant detection sensor acquisition module, the current acquisition data of the volume resistivity detection sensor acquisition module, and the preset second relationship model.

[0050] S520. If 0 < q < a0, then determine the current breakdown voltage of the transformer insulating oil according to the current acquisition data of the acid value detection sensor acquisition module, the current acquisition data of the dielectric constant detection sensor acquisition module, the current acquisition data of the volume resistivity detection sensor acquisition module, and the preset second relationship model; if q ≥ a0, then determine the previous breakdown voltage of the transformer insulating oil according to the current acquisition data of the acid value detection sensor acquisition module, the current acquisition data of the dielectric constant detection sensor acquisition module, the current acquisition data of the volume resistivity detection sensor acquisition module, the current acquisition data of the chromaticity detection sensor acquisition module, the current acquisition data of the appearance detection sensor acquisition module, the current acquisition data of the particle contamination degree detection sensor acquisition module, and the preset third relationship model; the second relationship model is used to characterize the relationship between the acid value, dielectric constant, volume resistivity of the transformer insulating oil and the breakdown voltage; the third relationship model is used to characterize the relationship between the acid value, dielectric constant, volume resistivity, chromaticity, appearance, particle contamination degree of the transformer insulating oil and the breakdown voltage, and a0 is the first preset quantity.

[0051] In this embodiment, a0 is an empirical value.

[0052] In this embodiment, the preset second relationship model is obtained based on a second data set, where the second data set includes multiple second data groups, each of which includes data representing an acid value, data representing a dielectric constant, data representing a volume resistivity, and data representing a breakdown voltage. Optionally, the second relationship model is obtained using a curve fitting method.

[0053] In this embodiment, in the preset second relationship model, the acid value, dielectric constant and volume resistivity are all independent variables, and the breakdown voltage is the dependent variable; determining the current breakdown voltage of the transformer insulating oil based on the current collected data of the acid value detection sensor acquisition module, the current collected data of the dielectric constant detection sensor acquisition module, the current collected data of the volume resistivity detection sensor acquisition module and the preset second relationship model includes: substituting the current collected data of the acid value detection sensor acquisition module, the current collected data of the dielectric constant detection sensor acquisition module and the current collected data of the volume resistivity detection sensor acquisition module into the preset second relationship model, and determining the breakdown voltage obtained after the substitution as the current breakdown voltage of the transformer insulating oil.

[0054] In this embodiment, the preset third relationship model is obtained based on a third data set. The third data set includes multiple third data groups, each of which includes data representing acid value, data representing dielectric constant, data representing volume resistivity, data representing color, data representing appearance, data representing particle contamination, and data representing breakdown voltage. Optionally, the third relationship model is obtained using a curve fitting method.

[0055] In this embodiment, in the preset third relationship model, the acid value, dielectric constant, volume resistivity, chromaticity, appearance and particle contamination are all independent variables, and the breakdown voltage is the dependent variable; determining the front breakdown voltage of the transformer insulating oil according to the current collected data of the acid value detection sensor acquisition module, the current collected data of the dielectric constant detection sensor acquisition module, the current collected data of the volume resistivity detection sensor acquisition module, the current collected data of the chromaticity detection sensor acquisition module, the current collected data of the appearance detection sensor acquisition module, the current collected data of the particle contamination detection sensor acquisition module and the preset third relationship model includes: substituting the current collected data of the acid value detection sensor acquisition module, the current collected data of the dielectric constant detection sensor acquisition module, the current collected data of the volume resistivity detection sensor acquisition module, the current collected data of the chromaticity detection sensor acquisition module, the current collected data of the appearance detection sensor acquisition module and the current collected data of the particle contamination detection sensor acquisition module into the preset third relationship model, and determining the breakdown voltage obtained after the substitution as the current breakdown voltage of the transformer insulating oil. When q≥a0, compared with obtaining the current breakdown voltage of the transformer insulating oil according to the preset second relationship model, this embodiment obtains the current breakdown voltage of the transformer insulating oil according to the preset third relationship model, which is beneficial to improving the accuracy of the obtained current breakdown voltage of the transformer insulating oil.

[0056] This embodiment indirectly determines the breakdown voltage of the transformer insulating oil based on data of other parameters detected by other sensor acquisition modules included in the multi-parameter transformer insulating oil online monitoring system. There is no need to apply high voltage to the transformer insulating oil to detect the breakdown voltage of the transformer insulating oil, which reduces the difficulty of obtaining the breakdown voltage of the transformer insulating oil and can monitor the breakdown voltage in a portable and online system. Specifically, when no sudden changes occur in the parameters detected by any sensor acquisition module included in the multi-parameter transformer insulating oil online monitoring system, the current breakdown voltage of the transformer insulating oil is determined based on the current acquired data of the acid value detection sensor acquisition module. This can further reduce the difficulty of obtaining the current breakdown voltage while ensuring the accuracy of obtaining the current breakdown voltage, and further improve the efficiency of obtaining the current breakdown voltage. When a sudden change occurs in the parameters detected by some sensor acquisition modules included in the multi-parameter transformer insulating oil online monitoring system, the current breakdown voltage of the transformer insulating oil is determined based on the current acquired data of a larger number of sensor acquisition modules, which can effectively ensure the accuracy of the obtained current breakdown voltage.

[0057] The acid value sensor of this embodiment can take different forms in portable systems and online monitoring systems. For example, the acid value sensor in a portable system can be implemented using a reagent and a colorimetric reagent combined with a colorimetric detection sensor acquisition module. The acid value in an online system can also be indirectly measured. For example, the acid value can be obtained using a water-soluble acid detection sensor acquisition module, a moisture detection sensor acquisition module, a dielectric constant detection sensor acquisition module, a volume resistivity detection sensor acquisition module, a colorimetric detection sensor acquisition module, an appearance detection sensor acquisition module, and a particle contamination detection sensor acquisition module using a method similar to the above-mentioned method for obtaining the breakdown voltage.

[0058] Although some specific embodiments of the present invention have been described in detail by way of example, it should be understood by those skilled in the art that the above examples are for illustration only and are not intended to limit the scope of the present invention. It should also be understood by those skilled in the art that various modifications may be made to the embodiments without departing from the scope and spirit of the present invention. The scope of the present invention is defined by the appended claims.

Claims

1. A data processing method for a multi-parameter transformer insulating oil online monitoring system, characterized in that: The multi-parameter on-line monitoring system for transformer insulating oil includes several sensor acquisition modules, and the several sensor acquisition modules include an acid value detection sensor acquisition module, a dielectric constant detection sensor acquisition module, and a volume resistivity detection sensor acquisition module; the method includes the following steps: S100, obtaining the target acquisition data of each sensor acquisition module included in the multi-parameter on-line monitoring system for transformer insulating oil; the target acquisition data includes current acquisition data and historical acquisition data; S200, judging whether the parameters detected by each sensor acquisition module have mutations according to the target acquisition data of each sensor acquisition module; S300, obtaining the number q of sensor acquisition modules whose detected parameters have mutations; S400, if q = 0, determining the current breakdown voltage of the transformer insulating oil according to the current acquisition data of the acid value detection sensor acquisition module and a preset first relationship model; otherwise, entering S500; the first relationship model is used to characterize the relationship between the acid value and the breakdown voltage of the transformer insulating oil; S500, determining the current breakdown voltage of the transformer insulating oil according to the current acquisition data of the acid value detection sensor acquisition module, the current acquisition data of the dielectric constant detection sensor acquisition module, and the current acquisition data of the volume resistivity detection sensor acquisition module; S500 includes: S510, if the several sensor acquisition modules include a chromaticity detection sensor acquisition module, an appearance detection sensor acquisition module, and a particle contamination degree detection sensor acquisition module, then entering S520; S520, if 0 < q < a0, determining the current breakdown voltage of the transformer insulating oil according to the current acquisition data of the acid value detection sensor acquisition module, the current acquisition data of the dielectric constant detection sensor acquisition module, the current acquisition data of the volume resistivity detection sensor acquisition module, and a preset second relationship model; if q ≥ a0, determining the previous breakdown voltage of the transformer insulating oil according to the current acquisition data of the acid value detection sensor acquisition module, the current acquisition data of the dielectric constant detection sensor acquisition module, the current acquisition data of the volume resistivity detection sensor acquisition module, the current acquisition data of the chromaticity detection sensor acquisition module, the current acquisition data of the appearance detection sensor acquisition module, the current acquisition data of the particle contamination degree detection sensor acquisition module, and a preset third relationship model; the second relationship model is used to characterize the relationship between the acid value, dielectric constant, volume resistivity of the transformer insulating oil and the breakdown voltage; the third relationship model is used to characterize the relationship between the acid value, dielectric constant, volume resistivity, chromaticity, appearance, particle contamination degree of the transformer insulating oil and the breakdown voltage, and a0 is a first preset number.

2. The data processing method of the multi-parameter transformer insulating oil online monitoring system according to claim 1 is characterized in that: S200 includes: S210, obtaining the data change value of each acquisition moment of the specified sensor acquisition module according to the target acquisition data of the specified sensor acquisition module; wherein, the data change value of any acquisition moment is the difference between the data of the parameter detected at this acquisition moment and the data of the parameter detected at the corresponding previous acquisition moment; the specified sensor is any sensor acquisition module included in the multi-parameter on-line monitoring system for transformer insulating oil; S220, comparing the data change value of each acquisition moment of the designated sensor acquisition module with the corresponding threshold value. If the data change value at a certain acquisition moment is greater than or equal to the corresponding preset change threshold value, it is determined that a sudden change has occurred in the parameter detected at the acquisition moment; S230 , if the parameters detected by the designated sensor acquisition module at all acquisition moments do not undergo a sudden change, it is determined that the parameters detected by the designated sensor acquisition module do not undergo a sudden change; otherwise, it is determined that the parameters detected by the designated sensor acquisition module undergo a sudden change.

3. The data processing method of the multi-parameter transformer insulating oil online monitoring system according to claim 1 is characterized in that: Before S100, the method further includes: S010, obtaining a set of associated sensor acquisition modules of a designated sensor acquisition module; any sensor acquisition module in the associated sensor acquisition module set is a sensor acquisition module included in a multi-parameter transformer insulating oil online monitoring system, and a parameter detected by any sensor acquisition module in the associated sensor acquisition module set is associated with a parameter detected by the designated sensor acquisition module; the designated sensor is any sensor acquisition module included in the multi-parameter transformer insulating oil online monitoring system; S020, if the designated sensor acquisition module and the associated sensor acquisition module meet a first preset condition, then determine that the designated sensor acquisition module has a fault; the first preset condition includes: the current acquired data of the designated sensor acquisition module undergoes a sudden change compared to the corresponding previous acquired data, and the current acquired data of each sensor acquisition module in the associated sensor acquisition module set does not undergo a sudden change compared to the corresponding previous acquired data; or the current acquired data of the designated sensor acquisition module does not change compared to the previous acquired data, and the current acquired data of each sensor acquisition module in the associated sensor acquisition module set changes compared to the previous acquired data; S030: If the designated sensor acquisition module fails, S100 is not executed, and information indicating the failure of the designated sensor acquisition module is output; otherwise, S100 is executed.

4. The data processing method of the multi-parameter transformer insulating oil online monitoring system according to claim 3 is characterized in that: When the designated sensor acquisition module is a dielectric constant detection sensor acquisition module, and the several sensor acquisition modules also include a colorimetry detection sensor acquisition module, an appearance detection sensor acquisition module, and a particle contamination detection sensor acquisition module, the elements in the associated sensor acquisition module set include an acid value detection sensor acquisition module, a volume resistivity detection sensor acquisition module, a colorimetry detection sensor acquisition module, an appearance detection sensor acquisition module, and a particle contamination detection sensor acquisition module.

5. The data processing method of the multi-parameter transformer insulating oil online monitoring system according to claim 1 is characterized in that: The preset first relationship model is obtained according to the first data set, wherein the first data set includes a plurality of first data groups, and any first data group includes a data representing an acid value and a data representing a breakdown voltage.

6. The data processing method of the multi-parameter transformer insulating oil online monitoring system according to claim 1 is characterized in that: The preset second relationship model is obtained based on the second data set, which includes several second data groups, and any second data group includes a data representing the acid value, a data representing the dielectric constant, a data representing the volume resistivity, and a data representing the breakdown voltage.

7. The data processing method of the multi-parameter transformer insulating oil online monitoring system according to claim 1 is characterized in that: The preset third relationship model is obtained based on a third data set, and the third data set includes several third data groups, and any third data group includes a data characterizing the acid value, a data characterizing the dielectric constant, a data characterizing the volume resistivity, a data characterizing the chromaticity, a data characterizing the appearance, a data characterizing the particle contamination and a data characterizing the breakdown voltage.

8. The data processing method of the multi-parameter transformer insulating oil online monitoring system according to claim 1 is characterized in that: Determining the current breakdown voltage of the transformer insulating oil based on the current collected data of the acid value detection sensor acquisition module and a preset first relationship model includes: substituting the current collected data of the acid value detection sensor acquisition module into the preset first relationship model, and determining the breakdown voltage obtained after the substitution as the current breakdown voltage of the transformer insulating oil.

9. The data processing method of the multi-parameter transformer insulating oil online monitoring system according to claim 1, characterized in that: Determining the current breakdown voltage of the transformer insulating oil based on the current collected data of the acid value detection sensor acquisition module, the current collected data of the dielectric constant detection sensor acquisition module, the current collected data of the volume resistivity detection sensor acquisition module and a preset second relationship model includes: substituting the current collected data of the acid value detection sensor acquisition module, the current collected data of the dielectric constant detection sensor acquisition module and the current collected data of the volume resistivity detection sensor acquisition module into the preset second relationship model, and determining the breakdown voltage obtained after the substitution as the current breakdown voltage of the transformer insulating oil.

10. The data processing method of the multi-parameter transformer insulating oil online monitoring system according to claim 3, characterized in that: When the several sensor acquisition modules also include a moisture detection sensor acquisition module and an interfacial tension detection sensor acquisition module, and the designated sensor acquisition module is a moisture detection sensor acquisition module, the elements in the associated sensor acquisition module set include a dielectric constant detection sensor acquisition module, a volume resistivity detection sensor acquisition module and an interfacial tension detection sensor acquisition module.

11. The data processing method of the multi-parameter transformer insulating oil online monitoring system according to claim 3, characterized in that: When the several sensor acquisition modules further include a moisture detection sensor acquisition module, a water-soluble acid detection sensor acquisition module, and an oil sludge and sediment detection sensor acquisition module, and the designated sensor acquisition module is a water-soluble acid detection sensor acquisition module, the elements in the associated sensor acquisition module set include the moisture detection sensor acquisition module and the oil sludge and sediment detection sensor acquisition module.

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