Method for predicting residual life of insulating part of switch cabinet, electronic equipment and medium

Abstract

The invention relates to a method for predicting the residual life of an insulating part of a switch cabinet, electronic equipment and a medium. The method comprises the following steps: solving the activation energy of an epoxy composite material; establishing an aging reaction mechanism function empirical model of the epoxy composite material; constructing the relationship between the activation energy and the reaction conversion rate; solving a failure conversion rate according to the relationship between the activation energy and the reaction conversion rate; according to the failure conversion rate and the aging reaction mechanism function empirical model, the service life of the epoxy composite material for the unused insulating part is obtained, and then the service life of the epoxy composite material for the switch cabinet insulating part is subtracted to obtain prediction of the remaining service life of the switch cabinet insulating part. Compared with the prior art, the method has the advantages that the residual life of the switch cabinet insulating part is predicted, the prediction is simple and accurate, and effective support is provided for operation and maintenance of the switch cabinet insulating part.

Description

Technical Field

[0001] The present invention relates to the technical field of switch cabinet insulation components, and in particular to a method for predicting the remaining life of switch cabinet insulation components, electronic equipment and a medium. Background Art

[0002] The current power grid is still in a period of rapid growth, and the risk of "asset wall" is becoming increasingly prominent. In 2020, the equipment management system of State Grid Corporation requires the average life of substation equipment to be 20 years, and in 2025 it is required to reach 23 years. At present, there is still a lack of scientific response methods to the problems of increasing pressure on equipment renewal and transformation, accumulated failure risks, and rising operation and maintenance costs. There is an urgent need to study the aging status assessment and remaining life prediction methods of key insulation parts of switchgear equipment.

[0003] The insulation parts of switch cabinets work in high temperature and high humidity operating environments. It is impossible to directly and conveniently obtain the quality loss rate of insulation materials under different operating times, which brings difficulties to the aging status assessment and remaining life research. Therefore, a scientific research and judgment method is urgently needed to form a scientific, theoretical basis and support for the formulation of switch cabinet equipment life extension strategies, which can effectively avoid blind equipment replacement, optimize maintenance investment and operation plans, and improve the quality and efficiency of equipment asset management.

[0004] After searching, Chinese invention patent publication number CN111999610A discloses a method for aging assessment and life prediction of dry insulation equipment based on activation energy, including the following steps: Step 1: Perform TGA and dielectric spectrum experiments on the epoxy resin material of the dry insulation equipment to be measured, and obtain the chemical reaction activation energy, initial relaxation activation energy, and initial breakdown field strength in the unaged state; Step 2: Establish an equivalent conversion mechanism between the aging time of the dry insulation equipment at the laboratory temperature and the aging time at the field operating temperature; Step 3: Establish the failure criterion for the end of the life of the dry insulation equipment through an AC breakdown test; Step 4: Calculate the activation energy of the sample at different aging degrees through an aging test, obtain the relationship between the activation energy of the sample and the aging time, and perform aging assessment and life prediction of the dry insulation equipment. The existing patent has the problem that this method is not suitable for aging assessment of switch cabinet insulation parts.

[0005] How to predict the remaining life of switch cabinet insulation components has become a technical problem that needs to be solved. Summary of the invention

[0006] The purpose of the present invention is to provide a method for predicting the remaining life of insulating parts of a switch cabinet, an electronic device and a medium in order to overcome the defects of the above-mentioned prior art.

[0007] The purpose of the present invention can be achieved by the following technical solutions:

[0008] According to one aspect of the present invention, a method for predicting the remaining life of an insulating component of a switch cabinet is provided, the method comprising the following steps:

[0009] Step S1, solving the activation energy of the epoxy composite material;

[0010] Step S2, establishing an empirical model of the aging reaction mechanism function of the epoxy composite material;

[0011] Step S3, constructing the relationship between activation energy and reaction conversion rate;

[0012] Step S4, solving the failure conversion rate according to the relationship between the activation energy and the reaction conversion rate in step S3;

[0013] Step S5, according to the failure conversion rate of step S4 and the empirical model of the aging reaction mechanism function of step S2, the life of the unused epoxy composite material for insulating parts is obtained, and then the service life of the epoxy composite material for insulating parts of the switch cabinet is subtracted to obtain the prediction of the remaining life of the insulating parts of the switch cabinet.

[0014] Preferably, the process of solving the activation energy of the epoxy composite material comprises:

[0015] Thermogravimetric analysis of epoxy composite materials was performed at different heating rates β to obtain the relationship curve between the reaction conversion rate α of epoxy resin and temperature T at different heating rates, namely, the TG curve;

[0016] The reaction conversion rates α1 and α2 correspond to temperatures T1 and T2 respectively; for the curve with a heating rate of β, the reaction mechanism function G(α) is expressed as:

[0017]

[0018] In the formula, A is the pre-exponential factor, β is the heating rate, E is the activation energy, R is the molar constant; α is the reaction conversion rate;

[0019] According to the integral mean value theorem, we can get:

[0020]

[0021] In the formula,

[0022] Therefore, we can get:

[0023] For different heating rates β, is a constant, by finding right The slope of is used to obtain the activation energy E of the thermal decomposition reaction of epoxy-epoxy composite materials.

[0024] Preferably, the process of establishing an empirical model of the aging reaction mechanism function of the epoxy composite material comprises:

[0025] The reaction mechanism function G(α) is defined as:

[0026]

[0027] In the formula, α is the reaction conversion rate, f(α) is the differential formula of the reaction mechanism function, k is the chemical reaction rate, and t is the reaction time, that is;

[0028] The expression for chemical reaction rate k is:

[0029]

[0030] Where A is the pre-exponential factor, E is the activation energy, R is the molar constant, and T is the thermodynamic temperature;

[0031] The kinetic equation for the thermal decomposition of insulating materials is as follows:

[0032]

[0033] Where β is the heating rate;

[0034] Integrating the thermolysis kinetic equation yields:

[0035]

[0036] Where P(u) is the temperature integral, P(u) is solved by Simpson's integral formula;

[0037] When α is 0.5,

[0038]

[0039] The empirical model of aging reaction mechanism function is:

[0040] G(α)=qα m (1-α) n (-ln(1-α)) p

[0041] In the formula, m, n, p, q are unknown parameters; α is the reaction conversion rate;

[0042] Substituting the empirical model of aging reaction mechanism function into You can get:

[0043]

[0044] The temperature T corresponding to different conversion rates α is combined with the activation energy E solved in step S1 to solve the corresponding u;

[0045] Solve P(u) through Simpson's integral formula to obtain z(α);

[0046] The parameters m, n, and p can be obtained by fitting z(α) using the least squares method;

[0047] Combining the integral of the pyrolysis kinetic equation with the empirical model of the aging reaction mechanism function, we can obtain:

[0048]

[0049] Substituting any two conversion rates α and the corresponding parameters into the above formula, we can obtain the equation system and solve it to get the values ​​of the parameters q and A;

[0050] Substituting the values ​​of parameters m, n, p, and q into the empirical model of aging reaction mechanism function, the empirical model of aging reaction mechanism function followed by the pyrolysis reaction process of epoxy composite materials is obtained.

[0051] More preferably, the process of constructing the relationship between activation energy and reaction conversion rate comprises:

[0052] The collected opening cabinet insulating parts of different service years are processed to obtain epoxy composite material samples, and the samples are subjected to thermogravimetric measurement and analysis to obtain TG curves at different heating rates β, and the reaction activation energy E of epoxy composite materials for insulating parts of different service years is obtained according to the method of step S1;

[0053] Combining the definition formula of the reaction mechanism function G(α) and the empirical model of the aging reaction mechanism function in step S2, the conversion rate α of the epoxy composite material with different operating years t is obtained, thereby constructing the relationship between the activation energy and the reaction conversion rate α.

[0054] Preferably, the process of solving the failure conversion rate includes:

[0055] Based on unused epoxy composite materials as samples, electrical, thermal and humidity accelerated aging tests were carried out to obtain the relationship between the breakdown field strength and activation energy of the samples;

[0056] The activation energy corresponding to the breakdown field strength when the sample fails is the failure activation energy, which is substituted into the relationship between the activation energy and the reaction conversion rate in step S3 to obtain the failure conversion rate.

[0057] More preferably, assuming that the breakdown field strength drops to N% of the initial value, it is determined that the sample has failed.

[0058] More preferably, during the electrical, thermal and humidity accelerated aging tests, breakdown field strength test and thermogravimetric analysis are performed on the samples at set intervals to obtain the relationship between the breakdown field strength and activation energy of the samples.

[0059] Preferably, the life of the unused epoxy composite material for insulating parts obtained in step S5 is specifically: substituting the failure conversion rate into the formula defined by the reaction mechanism function, combined with the empirical model of the aging reaction mechanism function solved in step S2, the life t of the unused epoxy composite material for insulating parts can be obtained.

[0060] According to another aspect of the present invention, an electronic device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and the method described above is implemented when the processor executes the program.

[0061] According to a third aspect of the present invention, there is provided a computer-readable storage medium having a computer program stored thereon, wherein the program implements the method described above when executed by a processor.

[0062] Compared with the prior art, the present invention has the following beneficial effects:

[0063] (1) Based on the performance tests of switch cabinet insulation parts with different operating years and laboratory accelerated aging insulation samples, the present invention proposes a method for solving the activation energy, establishes an empirical model of the aging reaction mechanism function of epoxy composite materials, constructs the intrinsic relationship between activation energy and reaction conversion rate, solves the failure conversion rate, and obtains the life of epoxy composite materials for unused insulation parts. The remaining life prediction of switch cabinet insulation parts based on the aging reaction mechanism is formed. The method is suitable for switch cabinet insulation parts, which are insulation materials that cannot directly and conveniently obtain the mass loss rate at different operating times under high temperature and high humidity operating environments. The method has the advantages of simple prediction and practicality.

[0064] (2) The present invention can effectively determine the remaining life of the switch cabinet insulating parts by judging the remaining life of the epoxy composite material used for the switch cabinet insulating parts, thereby providing a theoretical basis and data support for the operation, replacement, life extension, and maintenance of the insulating parts.

[0065] (3) The present invention processes insulating parts with actual known operating time, performs thermogravimetric measurement and analysis on the epoxy composite material samples, and obtains TG curves under different heating rates β, thereby constructing the relationship between activation energy and reaction conversion rate. Therefore, the accuracy and effectiveness of the prediction are guaranteed, providing a theoretical basis and support for the formulation of life extension strategies for switch cabinet equipment, which can effectively avoid blind equipment replacement, optimize maintenance investment and operation plans, and improve the quality and efficiency of equipment asset management. BRIEF DESCRIPTION OF THE DRAWINGS

[0066] Figure 1 It is a schematic diagram of the flow chart of the prediction method in the present invention;

[0067] Figure 2 TG curve schematic diagram of epoxy resin at different heating rates in an embodiment of the present invention;

[0068] Figure 3 Schematic diagram of activation energy of unaged epoxy resin sample in an embodiment of the present invention. DETAILED DESCRIPTION

[0069] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are 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 ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0070] The technical problem solved by the present invention is to provide a method for determining the remaining life of switch cabinet insulation components, namely, based on the performance tests of switch cabinet insulation components with different operating years and laboratory accelerated aging insulation specimens, an empirical model of the aging reaction mechanism function of epoxy composite materials is established, a method for solving the activation energy is proposed, and the intrinsic relationship between the reaction activation energy and the mass loss rate (i.e., the reaction conversion rate) is constructed, thereby forming a remaining life prediction method for switch cabinet insulation components based on the aging reaction mechanism.

[0071] Example 1

[0072] This embodiment relates to a method for predicting the remaining life of an insulating component of a switch cabinet, such as Figure 1 , the method comprising:

[0073] Step S1, solving the activation energy E of the epoxy composite material;

[0074] Step S2, establishing an empirical model of the aging reaction mechanism function of the epoxy composite material;

[0075] Step S3, constructing the relationship between activation energy E and reaction conversion rate α;

[0076] Step S4, according to the relationship between activation energy E and reaction conversion rate α, solve the failure conversion rate α 失效 ;

[0077] Step S5: according to the failure conversion rate α 失效 The life of epoxy composite materials for unused insulating parts is obtained by using the empirical model of aging reaction mechanism function, thereby predicting the remaining life of switchgear insulating parts.

[0078] In step S1, the reaction mechanism function G(α) is defined as formula (1):

[0079]

[0080] Where α is the reaction conversion rate; f(α) is the differential formula of the reaction mechanism function; k is the chemical reaction rate; and t is the reaction time.

[0081] Based on the test characterization results of the thermogravimeter, the thermal decomposition kinetic equation of the insulating material is given by equation (2).

[0082]

[0083] Where A is the pre-exponential factor; β is the heating rate; E is the activation energy; R is the molar constant; and T is the thermodynamic temperature.

[0084] The expression of chemical reaction rate k is as follows:

[0085]

[0086] Integrating formula (2) yields:

[0087]

[0088] In the formula, P(u) is the temperature integral, as shown in formula (5), where

[0089]

[0090] P(u) can be solved by Simpson's integral formula, which is expressed as:

[0091]

[0092] In the formula, y = f(u).

[0093] Thermogravimetric analysis of epoxy composite materials (epoxy resin) was performed at different heating rates β to obtain the relationship curve between the reaction conversion rate α of epoxy resin and temperature T at different heating rates (i.e., TG curve), see Figure 2 The reaction conversion rates α1 and α2 correspond to T1 and T2 respectively. For the curve with a heating rate of β, formula (4) yields:

[0094]

[0095] In the formula,

[0096] According to the integral mean value theorem, we can get:

[0097]

[0098] In the formula,

[0099] Combining equations (7) and (8), we can get:

[0100]

[0101] For different heating rates β, the first term on the right side of equation (9) is a constant. Therefore, we can obtain ln[β(1 / T1+1 / T2) 2 The activation energy E of the epoxy resin pyrolysis reaction can be obtained by calculating the slope of [(1 / T1-1 / T2)] to [(1 / T1+1 / T2). The activation energy E of the unaged epoxy resin sample at different heating rates is as follows: Figure 3 .

[0102] In step S2, an empirical model of the aging reaction mechanism function of the epoxy composite material is established:

[0103] The empirical model of the aging reaction mechanism function is:

[0104] G(α)=qα m (1-α) n (-ln(1-α)) p (10)

[0105] Where m, n, p, and q are unknown parameters.

[0106] When α is 0.5, formula (4) can be expressed as:

[0107]

[0108] Dividing equation (4) and equation (11) yields:

[0109]

[0110] Substituting formula (10) into formula (12) yields:

[0111]

[0112] The temperature T corresponding to different reaction conversion rates α can be known from the TG curve. Combined with the activation energy E solved in step S1, the corresponding u can be solved. Then, z(α) is solved using P(u) solved by the Simpson integral formula in step S1. The parameters m, n, and p can be obtained by fitting z(α) using the least squares method.

[0113] Combining equation (4) and equation (10), we can get:

[0114]

[0115] Substituting any two reaction conversion rates α and the corresponding parameters into equation (14) and solving the equation system, we can obtain the values ​​of parameters q and A. So far, substituting the values ​​of parameters m, n, p, and q into equation (10) can obtain the empirical model of the aging reaction mechanism function followed by the pyrolysis reaction process of epoxy composite materials.

[0116] Step S3, constructing the relationship between activation energy E and reaction conversion rate α

[0117] The collected insulating parts of the opening cabinets with different service years are processed to obtain epoxy composite material samples, and the samples are subjected to thermogravimetric measurement and analysis to obtain TG curves under different heating rates β. The activation energy E of the epoxy composite materials for insulating parts with different service years is obtained according to the method of step S1. Combining formula (1) and the empirical model of the aging reaction mechanism function solved in step S2, the conversion rate α of the epoxy composite material under different service years t can be solved, so that the corresponding relationship between the activation energy E and the conversion rate α can be constructed.

[0118] Step S4, solving the failure conversion rate α 失效

[0119] It is considered that the breakdown field strength drops to N% of the initial value (50% in this embodiment) as the criterion for sample failure. Electrical, thermal, and humidity accelerated aging tests are carried out on unused epoxy composite materials (epoxy resins). The breakdown field strength test and thermogravimetric analysis are performed on the samples at regular intervals to obtain the relationship between the breakdown field strength and activation energy of the samples. The activation energy corresponding to the breakdown field strength when the sample fails is the failure activation energy E 失效 Substituting the relationship between activation energy E and conversion rate α in step S3, we can get the failure conversion rate α 失效 .

[0120] Step S5, solving the remaining life

[0121] The failure conversion rate α 失效 Substituting into equation (1) and combining with the empirical model of the aging reaction mechanism function solved in step S2, the life t of the unused epoxy composite material for insulating parts (corresponding to the reaction time in equation (1)) can be obtained. The remaining life is obtained by subtracting the service life of the epoxy composite material for insulating parts of switch cabinets with different operating years from the life of the unused epoxy composite material.

[0122] Example 2

[0123] This embodiment relates to a method for predicting the remaining life of switch cabinet insulation parts. A thermogravimetric analyzer is used to measure the mass change of epoxy composite material samples during heating. Thermogravimetric analysis was performed on unaged epoxy resin materials and 2003 cabinet bushings. By improving the activation energy calculation method, the activation energy of the unaged sample was 206055 J / mol, and the activation energy of the 2003 cabinet bushing was 178859 J / mol, indicating that the activation energy was significantly reduced after aging. The relationship curve between the reaction conversion rate and the temperature is shown in the figure below: Figure 2 The relationship curve between the reaction conversion rate α of the unaged epoxy resin and the temperature T at different heating rates (i.e., the TG curve) is as follows: Figure 3 .

[0124] Example 3

[0125] The electronic device of the present invention includes a central processing unit (CPU), which can perform various appropriate actions and processes according to computer program instructions stored in a read-only memory (ROM) or loaded from a storage unit into a random access memory (RAM). In the RAM, various programs and data required for device operation can also be stored. The CPU, ROM and RAM are connected to each other via a bus. An input / output (I / O) interface is also connected to the bus.

[0126] Multiple components in the device are connected to the I / O interface, including: input units, such as keyboards, mice, etc.; output units, such as various types of displays, speakers, etc.; storage units, such as disks, optical disks, etc.; and communication units, such as network cards, modems, wireless communication transceivers, etc. The communication unit allows the device to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunication networks.

[0127] The processing unit performs the various methods and processes described above, such as methods S1 to S5. For example, in some embodiments, methods S1 to S5 may be implemented as a computer software program, which is tangibly contained in a machine-readable medium, such as a storage unit. In some embodiments, part or all of the computer program may be loaded and / or installed on the device via a ROM and / or a communication unit. When the computer program is loaded into the RAM and executed by the CPU, one or more steps of methods S1 to S5 described above may be performed. Alternatively, in other embodiments, the CPU may be configured to execute methods S1 to S5 in any other appropriate manner (e.g., by means of firmware).

[0128] The functions described above herein may be performed at least in part by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), complex programmable logic devices (CPLDs), and the like.

[0129] The program code for implementing the method of the present invention can be written in any combination of one or more programming languages. These program codes can be provided to a processor or controller of a general-purpose computer, a special-purpose computer or other programmable data processing device, so that the program code, when executed by the processor or controller, enables the functions / operations specified in the flow chart and / or block diagram to be implemented. The program code can be executed entirely on the machine, partially on the machine, partially on the machine as a stand-alone software package and partially on a remote machine, or entirely on a remote machine or server.

[0130] In the context of the present invention, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or equipment, or any suitable combination of the foregoing. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0131] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed by the present invention, and these modifications or replacements should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention shall be based on the protection scope of the claims.

Claims

1. A method for predicting the remaining life of switch cabinet insulation components, characterized in that: The method comprises the following steps: Step S1, solving the activation energy of the epoxy composite material; Step S2, establishing an empirical model of the aging reaction mechanism function of the epoxy composite material; Step S3, constructing the relationship between activation energy and reaction conversion rate; Step S4, solving the failure conversion rate according to the relationship between the activation energy and the reaction conversion rate in step S3; Step S5, according to the failure conversion rate of step S4 and the empirical model of the aging reaction mechanism function of step S2, the life of the unused epoxy composite material for insulating parts is obtained, and then the service life of the epoxy composite material for insulating parts of the switch cabinet is subtracted to obtain the prediction of the remaining life of the insulating parts of the switch cabinet.

2. A method for predicting the remaining life of switch cabinet insulation according to claim 1, characterized in that: The process of solving the activation energy of the epoxy composite material comprises: Thermogravimetric analysis of epoxy composite materials was performed at different heating rates β to obtain the relationship curve between the reaction conversion rate α of epoxy resin and temperature T at different heating rates, namely, the TG curve; The reaction conversion rates α1 and α2 correspond to temperatures T1 and T2 respectively; for the curve with a heating rate of β, the reaction mechanism function G(α) is expressed as: In the formula, A is the pre-exponential factor, β is the heating rate, E is the activation energy, R is the molar constant; α is the reaction conversion rate; According to the integral mean value theorem, we can get: In the formula, Therefore, we can get: For different heating rates β, is a constant, by finding right The slope of is used to obtain the activation energy E of the thermal decomposition reaction of epoxy-epoxy composite materials.

3. A method for predicting the remaining life of switch cabinet insulation according to claim 1, characterized in that: The process of establishing the empirical model of the aging reaction mechanism function of the epoxy composite material includes: The reaction mechanism function G(α) is defined as: In the formula, α is the reaction conversion rate, f(α) is the differential formula of the reaction mechanism function, k is the chemical reaction rate, and t is the reaction time, that is; The expression for chemical reaction rate k is: Where A is the pre-exponential factor, E is the activation energy, R is the molar constant, and T is the thermodynamic temperature; The kinetic equation for the thermal decomposition of insulating materials is as follows: Where β is the heating rate; Integrating the thermolysis kinetic equation yields: Where P(u) is the temperature integral, P(u) is solved by Simpson's integral formula; When α is 0.5, The empirical model of aging reaction mechanism function is: G(α)=qα m (1-a) n (-ln(1-a)) p In the formula, m, n, p, q are unknown parameters; α is the reaction conversion rate; Substitute the empirical model of aging reaction mechanism function into You can get: The temperature T corresponding to different conversion rates α is combined with the activation energy E solved in step S1 to solve the corresponding u; Solve P(u) through Simpson's integral formula to obtain z(α); The parameters m, n, and p can be obtained by fitting z(α) using the least squares method; Combining the integral of the pyrolysis kinetic equation with the empirical model of the aging reaction mechanism function, we can obtain: Substituting any two conversion rates α and the corresponding parameters into the above formula, we can obtain the equation system and solve it to get the values ​​of the parameters q and A; Substituting the values ​​of parameters m, n, p, and q into the empirical model of aging reaction mechanism function, the empirical model of aging reaction mechanism function followed by the pyrolysis reaction process of epoxy composite materials is obtained.

4. A method for predicting the remaining life of switch cabinet insulation components according to claim 3, characterized in that: The process of constructing the relationship between activation energy and reaction conversion rate includes: The collected opening cabinet insulating parts of different service years are processed to obtain epoxy composite material samples, and the samples are subjected to thermogravimetric measurement and analysis to obtain TG curves at different heating rates β, and the reaction activation energy E of epoxy composite materials for insulating parts of different service years is obtained according to the method of step S1; Combining the definition formula of the reaction mechanism function G(α) and the empirical model of the aging reaction mechanism function in step S2, the conversion rate α of the epoxy composite material with different operating years t is obtained, thereby constructing the relationship between the activation energy and the reaction conversion rate α.

5. The method for predicting the remaining life of switch cabinet insulation components according to claim 1, characterized in that: The process of solving the failure conversion rate includes: Based on unused epoxy composite materials as samples, electrical, thermal and humidity accelerated aging tests were carried out to obtain the relationship between the breakdown field strength and activation energy of the samples; The activation energy corresponding to the breakdown field strength when the sample fails is the failure activation energy, which is substituted into the relationship between the activation energy and the reaction conversion rate in step S3 to obtain the failure conversion rate.

6. A method for predicting the remaining life of switch cabinet insulation components according to claim 5, characterized in that: Assuming that the breakdown field strength drops to N% of the initial value, the sample is determined to have failed.

7. A method for predicting the remaining life of switch cabinet insulation components according to claim 5, characterized in that: During the electrical, thermal and humidity accelerated aging tests, the samples are subjected to breakdown field strength testing and thermogravimetric analysis at set intervals to obtain the relationship between the breakdown field strength and activation energy of the samples.

8. A method for predicting the remaining life of switch cabinet insulation components according to claim 1, characterized in that: The life of the unused epoxy composite material for insulating parts in step S5 is obtained by substituting the failure conversion rate into the formula defined by the reaction mechanism function, and combining it with the empirical model of the aging reaction mechanism function solved in step S2 to obtain the life t of the unused epoxy composite material for insulating parts.

9. An electronic device comprising a memory and a processor, wherein a computer program is stored in the memory, wherein: When the processor executes the program, the method according to any one of claims 1 to 8 is implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method according to any one of claims 1 to 8 is implemented.

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