Method and device for evaluating operation risk of main transformer, electronic equipment and storage medium

Abstract

The application relates to the technical field of equipment risk assessment, in particular to a main transformer operation risk assessment method and device, electronic equipment and a storage medium. The method comprises the following steps: obtaining operation data and corresponding power supply information of a main transformer, and determining corresponding current power supply standard data according to the power supply information. According to the operation data and the current power supply standard data, difference data and normal data fluctuation values corresponding to the current power supply standard data are obtained. According to the difference data, the normal data fluctuation values and a preset risk rule, a type of risk information corresponding to the difference data is determined. Based on a risk assessment model, the operation data and the power supply information, a second type of risk information corresponding to the operation data is determined. According to the first type of risk information, the second type of risk information and the preset risk rule, final risk information of the operation data is determined, and the final risk information comprises risk content and risk intensity. The accuracy of the final risk information obtained by risk assessment is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of equipment risk assessment, in particular to a main transformer operation risk assessment method and device, electronic equipment and a storage medium. BACKGROUND

[0002] The main transformer is a total step-down transformer in a unit or substation, which is mainly used for power transmission and transformation, and is also the core part of the substation. The transformer is a device that uses the principle of electromagnetic induction to change the alternating voltage. With the progress of society, China's power grid has developed rapidly and is becoming larger and larger. Correspondingly, people's daily life is gradually deepening its association with the power grid. As the core part of the power grid substation, the main transformer may cause power outages in the corresponding power grid user area if it fails, and even cause problems in the operation of the entire power system. Therefore, it is very important to assess the risk of the operation of the main transformer for the safe operation of the power grid.

[0003] In related technologies, the equipment inside the power grid is usually maintained, and the operation of the main transformer is assessed for risk based on the maintenance results to optimize the equipment. However, sometimes the problems of the equipment cannot be comprehensively detected, and the problems of a certain equipment may be affected by the problems of other equipment or the operation process of other equipment, so the accuracy of the risk information displayed by the evaluation results obtained by the current risk assessment method is low. SUMMARY

[0004] To solve at least one of the above technical problems, the present application provides a main transformer operation risk assessment method, device, electronic equipment and storage medium.

[0005] In a first aspect, the present application provides a main transformer operation risk assessment method, comprising:

[0006] obtaining operation data of a main transformer and power supply information corresponding to the operation data;

[0007] determining corresponding current power supply standard data according to the power supply information;

[0008] obtaining difference data and normal data fluctuation values corresponding to the current power supply standard data according to the operation data and the current power supply standard data;

[0009] determining a type of risk information corresponding to the difference data according to the difference data, the normal data fluctuation values and a preset risk rule, the preset risk rule being used to represent different risks corresponding to different difference data under the normal data fluctuation values, and the preset risk rule including the several types of risk information;

[0010] determine, based on the operation data and the power supply information, second risk information corresponding to the operation data according to a risk assessment model;

[0011] determine final risk information of the operation data according to the first risk information, the second risk information, and a preset risk rule, the final risk information including risk content and risk intensity.

[0012] By adopting the technical solution, the operation data of the main transformer and the power supply information corresponding to the operation data are obtained first, and then the current power supply standard data corresponding to the power supply information is determined, i.e., the operation data when the main transformer is normally operated without risks. Then, according to the operation data and the current power supply standard data, the difference data between the two and the normal data fluctuation value corresponding to the current power supply standard data can be obtained. According to the difference data, the normal data fluctuation value, and the preset risk rule, the first risk information is determined. Based on the risk assessment model, the second risk information corresponding to the operation data is determined according to the operation data and the power supply information. The first risk information and the second risk information are comprehensively considered together with the preset risk rule, so that the final risk information determined not only considers the risks generated by the equipment in the main transformer during operation, but also considers the risks possibly generated by the equipment in the main transformer when affected by other equipment, thereby improving the accuracy of the final risk information obtained by the risk assessment method.

[0013] Optionally, the power supply information includes a current power supply time, a current load, and historical standard data corresponding to the current power supply time. The current power supply standard data is determined according to the power supply information, and the method includes:

[0014] The historical standard data corresponding to the current power supply time is obtained according to the current power supply time. The historical standard data is used to represent the historical operation data corresponding to the historical load at the historical power supply time corresponding to the current power supply time.

[0015] The current power supply standard data is determined according to the current load and the historical standard data.

[0016] By adopting the technical solution, the historical standard data corresponding to the current power supply time is obtained according to the power supply information, and the historical standard data most matched with the current power supply time is determined as the current power supply standard data according to the current load. The selection of the current power supply standard data can be changed according to the change of the power supply time, so that the selection result of the current power supply standard data is more reliable.

[0017] Optionally, the difference data and the normal data fluctuation value corresponding to the current power supply standard data are obtained according to the operation data and the current power supply standard data, and the method includes:

[0018] According to the operation data and the current power supply standard data, difference data is obtained, and the difference data carries a corresponding generation position;

[0019] The generation position corresponding to the difference data is extracted;

[0020] Operation information of the generation position is obtained;

[0021] According to the operation information, a normal data fluctuation value corresponding to the current power supply standard data is determined.

[0022] By adopting the technical solution, the difference data is obtained according to the operation data and the current power supply standard data. The generation position corresponding to the difference data is extracted, and then the operation information of the position is obtained. According to the operation information, the normal data fluctuation value corresponding to the current power supply standard data is determined. The normal data fluctuation value obtained by referring to the generation position of the difference data is more reliable.

[0023] Optionally, the method further comprises:

[0024] The historical operation data of the main transformer, power supply information corresponding to the historical operation data, and historical accident information corresponding to the historical operation data are obtained;

[0025] Based on the historical operation data, the power supply information corresponding to the historical operation data, and the historical accident information, risk assessment sample data is generated;

[0026] Based on the risk assessment sample data, the risk assessment model is trained to obtain a trained risk assessment model;

[0027] The risk assessment model is used to determine the second-class risk information corresponding to the operation data, and the method comprises:

[0028] Based on the trained risk assessment model, the second-class risk information corresponding to the operation data of the main transformer is determined.

[0029] By adopting the technical solution, the historical operation data, the power supply information corresponding to the historical operation data, and the historical accident information are used as training samples to train the risk assessment model, and the trained risk assessment model is obtained. The second-class risk information predicted based on the trained risk assessment model is more close to the actual operation process of the equipment in the main transformer, so that the accuracy of the evaluation result obtained based on the second-class risk information is higher.

[0030] Optionally, the method of obtaining the difference data and the normal data fluctuation value corresponding to the current power supply standard data according to the operation data and the current power supply standard data comprises:

[0031] comparing the operation data with current power supply standard data, determining first difference data according to comparison result;

[0032] determining second difference data according to the first difference data and preset operation mode;

[0033] obtaining difference data according to the first difference data and the second difference data;

[0034] determining corresponding normal data fluctuation value according to the current power supply standard data.

[0035] By adopting the above technical solution, first difference data is obtained through operation data and current power supply standard data, and then second difference data which is more difficult to be found is obtained based on the first difference data and in combination with preset operation mode. The first difference data and the second difference data are taken as difference data as a whole, so that the difference data is more reliable and detailed, and further makes the risk information of one kind which is predicted based on the difference data more accurate.

[0036] Optionally, the method further comprises:

[0037] obtaining risk content corresponding to the final risk information;

[0038] judging whether the risk corresponding to the risk content is self-regulation risk;

[0039] if yes, obtaining regulation information corresponding to the risk and regulating according to the regulation information;

[0040] if no, issuing a prompt.

[0041] By adopting the above technical solution, the risk corresponding to the final risk value final risk information is judged to determine whether it belongs to self-regulation risk, if yes, the corresponding regulation information can be called and regulated according to the regulation information to eliminate the risk; if no, a prompt can be given in time to avoid accidents.

[0042] Optionally, the above method further comprises:

[0043] determining historical operation information of the main transformer according to the historical operation data and power supply information corresponding to the historical operation data;

[0044] obtaining working parameters of the main transformer, and predicting whether the main transformer has a delay operation risk according to the working parameters and the historical operation information.

[0045] By adopting the technical scheme, the historical operation information of the main transformer is obtained according to the historical operation data and the power supply information corresponding to the historical operation data. The delay operation risk is predicted in combination with the working parameters and the historical operation information of the main transformer, so as to avoid some undetectable problems affecting the main transformer equipment caused by long operation time of the main transformer, further avoid accidents after a period of time, and improve the accuracy of the risk prediction result.

[0046] In a second aspect, the application provides a main transformer operation risk assessment device, comprising:

[0047] An acquisition module is configured to acquire operation data of a main transformer and power supply information corresponding to the operation data.

[0048] A current power supply standard data determination module is configured to determine corresponding current power supply standard data according to the power supply information.

[0049] A normal data fluctuation value determination module is configured to obtain difference data and normal data fluctuation values corresponding to the current power supply standard data according to the operation data and the current power supply standard data.

[0050] A first-type risk information determination module is configured to determine first-type risk information corresponding to the difference data according to the difference data, the normal data fluctuation values, and a preset risk rule, wherein the preset risk rule is used to represent different risks corresponding to different difference data under the normal data fluctuation values, and the preset risk rule includes the first-type risk information.

[0051] A second-type risk information determination module is configured to determine second-type risk information corresponding to the operation data according to the operation data and the power supply information based on a risk assessment model.

[0052] A final risk information determination module is configured to determine final risk information of the operation data according to the first-type risk information, the second-type risk information, and the preset risk rule, wherein the final risk information includes risk content and risk intensity.

[0053] Optionally, the normal data fluctuation value determination module is specifically configured to:

[0054] acquire historical standard data corresponding to the current power supply time according to the current power supply time, wherein the historical standard data is used to represent historical operation data corresponding to a historical load at a historical power supply time corresponding to the current power supply time.

[0055] determine corresponding current power supply standard data according to the current load and the historical standard data.

[0056] Optionally, the normal data fluctuation value determination module is specifically configured to:

[0057] According to the operation data and the current power supply standard data, difference data is obtained, and the difference data carries a corresponding generation position;

[0058] The generation position corresponding to the difference data is extracted;

[0059] Obtain operation information of the generation position;

[0060] According to the operation information, a normal data fluctuation value corresponding to the current power supply standard data is determined.

[0061] Optionally, the main transformer operation risk assessment device further comprises a risk assessment model training module for

[0062] Obtain the historical operation data of the main transformer, power supply information corresponding to the historical operation data, and historical accident information corresponding to the historical operation data;

[0063] Based on the historical operation data, the power supply information corresponding to the historical operation data, and the historical accident information, risk assessment sample data is generated;

[0064] Based on the risk assessment sample data, the risk assessment model is trained to obtain a trained risk assessment model;

[0065] The second type of risk information determination module is specifically configured to:

[0066] Based on the trained risk assessment model, determine the second type of risk information corresponding to the operation data of the main transformer.

[0067] Optionally, the normal data fluctuation value determination module is specifically configured to:

[0068] Compare the operation data and the current power supply standard data, and determine first difference data according to the comparison result;

[0069] According to the first difference data and the preset operation mode, determine second difference data;

[0070] According to the first difference data and the second difference data, difference data is obtained;

[0071] According to the current power supply standard data, determine a corresponding normal data fluctuation value.

[0072] Optionally, the main transformer operation risk assessment device further comprises a self-regulation risk judgment module for

[0073] Obtain the risk content corresponding to the final risk information;

[0074] Determine whether the risk content corresponds to a self-regulation risk.

[0075] If yes, the regulation information corresponding to the risk is acquired and regulation is performed according to the regulation information.

[0076] If no, a prompt is sent out.

[0077] Optionally, the main transformer operation risk assessment device further comprises a delay operation risk prediction module, configured to:

[0078] According to the historical operation data and the power supply information corresponding to the historical operation data, historical operation information of the main transformer is determined.

[0079] The working parameters of the main transformer are acquired, and according to the working parameters and the historical operation information, whether the main transformer has a delay operation risk is predicted.

[0080] In a third aspect, the present application provides an electronic device, comprising a memory and a processor, wherein the memory stores a computer program capable of being loaded and executed by the processor to perform the method of the first aspect.

[0081] In a fourth aspect, the present application provides a computer readable storage medium, which stores a computer program capable of being loaded and executed by a processor to perform the method of the first aspect. BRIEF DESCRIPTION OF DRAWINGS

[0082] In order to more clearly illustrate the technical solutions of the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiment or prior art description. Obviously, the drawings in the following description are some embodiments of the present application, and those skilled in the art can obtain other drawings according to these drawings without creative labor.

[0083] Figure 1 An application scenario schematic diagram provided by an embodiment of the present application;

[0084] Figure 2 A flowchart of a main transformer operation risk assessment method provided by an embodiment of the present application;

[0085] Figure 3 A structural schematic diagram of a main transformer operation risk assessment device provided by an embodiment of the present application;

[0086] Figure 4 A structural schematic diagram of an electronic device provided by an embodiment of the present application. DETAILED DESCRIPTION

[0087] In order to make the purposes, technical solutions, and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are some but not all of the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by a person of ordinary skill in the art without creative work fall within the protection scope of the present application.

[0088] In addition, the term "and / or" in this document merely describes an association relationship of associated objects, and indicates that there can be three relationships, for example, A and / or B can represent three cases of A existing alone, A and B existing simultaneously, and B existing alone. In addition, the character " / " in this document generally represents an "or" relationship between the front and rear associated objects unless otherwise specified.

[0089] The embodiments of the present application will be described in further detail below with reference to the drawings of the specification.

[0090] People's daily life is increasingly associated with the power grid. If the power grid has a problem, it may cause partial or large-area power outages in the area where the power users are located, and even may affect the operation of the entire power system. As the core part of the substation in the power grid, it is very important to perform risk assessment on the operation of the main transformer. At present, in order to reduce the risks that may occur during the operation of the main transformer, the staff often needs to detect the equipment inside the power grid and repair in a timely manner when a problem occurs. However, when the staff detects the equipment, they may be limited by the detection tools and the arrangement of various equipment, and it is difficult to comprehensively detect the problems existing in the equipment. At the same time, the professionalism of the staff is uneven, and they may not be able to quickly analyze the possible risks when detecting the equipment problems, thus delaying the repair time. In addition, the operation problem of a certain equipment inside the power grid may be affected by the operation process of other equipment, or the performance of the equipment may deteriorate after a long operation, thus generating new risks. Therefore, the evaluation results obtained by the current evaluation method have low accuracy.

[0091] Based on this, the embodiments of the present application provide a main transformer operation risk assessment method and device, electronic equipment, and storage medium. The operation data and power supply information of the main transformer can be obtained, and then the current power supply standard data is determined according to the power supply information. According to the operation data and the current power supply standard data of the main transformer, difference data and corresponding normal data fluctuation values are obtained. According to the difference data, the normal data fluctuation value, and the preset risk rule, a corresponding first type of risk information is obtained. Based on the risk assessment model, a corresponding second type of risk information is determined. Then, according to the first type of risk information, the second type of risk information, and the preset risk rule, the final risk information of the operation data is determined.

[0092] Figure 1 An application scenario provided by the present application is shown in the following figure. A certain power grid has a large number of power users. In order to avoid the problem that the main transformer suddenly fails to affect the normal power use of people, the main transformer operation risk assessment method of the present application can be used for risk assessment. Figure 1 In the risk assessment scenario, the device for carrying out the method of the present application is a server. The server can obtain the operation data and power supply information of the main transformer, and determine the corresponding current power supply standard data according to the power supply information. Then the server can obtain the difference data and the corresponding normal data fluctuation value of the operation data and the determined current power supply standard data. Then the difference data, the normal data fluctuation value and the preset risk rule are used to determine a type of risk information corresponding to the difference data. Based on the risk assessment model, a second type of risk information corresponding to the operation data is determined. The final risk information of the operation data is obtained by combining the first type of risk information, the second type of risk information and the preset risk rule, and the accuracy of the evaluation result is improved by considering the possible directions of multiple risks.

[0093] The specific implementation can refer to the following embodiments.

[0094] Figure 2 A flowchart of a main transformer operation risk assessment method provided by an embodiment of the present application. The method of the present embodiment can be applied to the server in the above scenario. As shown in the figure, Figure 2 the method comprises:

[0095] S201, obtaining operation data of a main transformer and power supply information corresponding to the operation data.

[0096] The main transformer can include a transformer, a high-voltage bushing, a low-voltage bushing, a gas relay and a cooler, etc. The operation data can include winding temperature, upper layer oil temperature, continuous operation time and operation voltage, etc. The power supply information can include the running time corresponding to the generation of the foregoing operation data. Since the loads corresponding to different running times can be different, the power supply information can also include the load and the parameter information of the load corresponding to the running time, etc. A running related database can be set in advance to store the operation data of the main transformer and the corresponding power supply information.

[0097] In some implementations, the various devices included in the main transformer can send the operation data generated in real time during operation to the running related database for storage. The server can directly obtain the operation data from the running related database. The power distribution paths of different loads can be different. When the main transformer supplies power to the load, the power transmission direction corresponding to the load in the power use area can be detected in real time. The corresponding power supply information can be determined according to the power transmission direction, and the power supply information can be stored in the running related database. The server can directly obtain the operation data and the corresponding power supply information from the running related database.

[0098] S202, determine the corresponding current power supply standard data according to the power supply information.

[0099] The current power supply standard data can be operation data generated when the equipment in the main transformer corresponding to the power supply information is in safe operation. For example, the rated voltage of the high-voltage bushing in the main transformer is 550kv, at this time 550kv can be used as the current power supply standard data, when the operation process of the high-voltage bushing has a risk, the generated operation data will be greater or less than 550kv.

[0100] In some implementations, a power supply information library can be set in advance, and the current power supply standard data corresponding to the equipment in the main transformer that may be involved in the power supply information can be stored in the power supply information library. According to the power supply information obtained in the above embodiment, it can be obtained that which loads are in the power supply process, and different equipment in the main transformer may be involved in the power supply process. The current power supply standard data corresponding to the equipment in the main transformer can be directly extracted from the power supply information library.

[0101] S203, obtain difference data and normal data fluctuation value corresponding to the current power supply standard data according to the operation data and the current power supply standard data.

[0102] The difference data can be the different data obtained by comparing the operation data generated by several main transformer equipment with the current power supply standard data. The normal data fluctuation value can be the upper and lower change value corresponding to the current power supply standard data when the main transformer operates without risk and the current power supply standard data normally fluctuates. It is considered that some equipment in the main transformer may cause normal fluctuation of the current power supply standard data due to temperature rise or other equipment, but the normal fluctuation can be adjusted by the cooler and other equipment within a certain time to restore the current power supply standard data, and will not cause operation risk.

[0103] In some implementations, the normal data fluctuation values corresponding to different equipment may not be the same, and these normal data fluctuation values can be stored in the power supply information library together with the corresponding equipment. By comparing the operation data and the current power supply standard data, the different data between the two can be used as the difference data, and the corresponding normal data fluctuation value can be directly extracted from the power supply information library according to the equipment in the main transformer corresponding to the current power supply standard data.

[0104] S204, determine a type of risk information corresponding to the difference data according to the difference data, the normal data fluctuation value and the preset risk rule, the preset risk rule is used to represent different risks corresponding to different difference data under the normal data fluctuation value, and the preset risk rule includes a plurality of types of risk information.

[0105] The preset risk rule can be determined according to different values obtained by subtracting the difference data from the current power supply standard data, and the different values can be referred to as actual fluctuation values. The preset risk rule can be used to determine what kind of actual fluctuation value corresponds to what kind of risk. The operation risk of the main transformer can be caused by problems in the operation of the equipment in the main transformer itself, and such risk can be a type of risk, which can include low risk, medium risk and high risk. The low risk can be a risk that hardly affects normal operation at the current time, but can cause an accident after a period of operation; the medium risk can be a risk that the temperature is relatively high at the current time, affecting the operation speed of some equipment, and can cause an accident after a period of operation; and the high risk can be a risk that the operation state is very abnormal at the current time, and an accident can occur at any time.

[0106] Based on the operation data generated by the equipment itself and the current power supply standard data, difference data is obtained, and the operation data in the difference data is compared with the current power supply standard data to obtain actual fluctuation values of different equipment in the main transformer. The difference between the actual fluctuation value and the normal data fluctuation value can be used as a risk value. A type of risk information can include the risk value and a specific type of risk.

[0107] For example, the rated current of the high-voltage bushing is 1250A, and each value within the range of greater than or less than 1A can be used as the normal data fluctuation value of the rated current of the high-voltage bushing. When the operating current of the high-voltage bushing and the risk value of the normal data fluctuation value are within the range of greater than 1A and less than or equal to 3A, it can be considered that the current operation condition is in a low risk; when the risk value is within the range of greater than 3A and less than or equal to 8A, it can be considered that the current operation condition is in a medium risk; when the risk value is within the range of greater than 8A and less than or equal to 15A, it can be considered that the current operation condition is in a high risk; and when the risk value is greater than 15A, an alarm can be given and the current operation of the equipment can be forcibly stopped, or other associated equipment can be enabled to reduce the fluctuation value. The above contents can be included in the preset risk rule.

[0108] Specifically, according to the operation data of the equipment in the main transformer and the current power supply standard data involved in the difference data, actual fluctuation values can be obtained, the actual fluctuation values are compared with the normal data fluctuation values to obtain risk values, the risk values are matched in the preset risk rule to obtain a corresponding type of risk, and then the risk values and the type of risk are used as a type of risk information.

[0109] S205, determining the second type of risk information corresponding to the operation data based on the risk evaluation model;

[0110] The risk assessment model can be a model directly assessing the operation process of the main transformer. A problem in the operation of a certain device can cause the overall operation temperature to rise, the overall operation speed to slow down, and other problems, leading to operation problems of other devices, and further leading to risks in the operation process of the main transformer. Such risks can be classified as the second type of risks. The second type of risk information can include the second type of risks and corresponding risk values

[0111] In some implementations, the operation-related database can also include second type of risk values corresponding to different second type of risks. For example, if a problem in the operation of a certain device can affect other devices less than or equal to 2, the corresponding second type of risk value is 1; if a problem in the operation of a certain device can affect other devices more than 2 and less than or equal to 4, the corresponding second type of risk value is 2; and if a problem in the operation of a certain device can affect other devices more than 4, the corresponding second type of risk value is 3. The second type of risk information can be determined according to the corresponding relationship between the second type of risks and the second type of risk values in the operation-related database.

[0112] In some implementations, the operation data and the power supply information are input into the risk assessment model, and the second type of risk information corresponding to the operation data can be directly obtained.

[0113] S206, determining the final risk information of the operation data according to the first type of risk information, the second type of risk information, and the preset risk rule. The final risk information includes risk content and risk intensity.

[0114] The final risk information can be the risk content and risk intensity of the main transformer during operation, which are predicted based on the first type of risk information and the second type of risk information. The risk content can be a specific risk, and the corresponding risk intensity can be whether the risk content corresponds to a high or low risk. The risk intensity can be reflected by the risk value corresponding to the first type of risk information and the risk value corresponding to the second type of risk information. Referring to the first type of risk information and the second type of risk information in the above S205, it can be determined that the corresponding final risk information can include the corresponding risk value and the corresponding specific risk. The preset risk rule can include the final risk information of the operation of the main transformer under different first type of risk information and different second type of risk information. Further, it can include the proportion of the first type of risk information and the second type of risk information in the final risk information under different first type of risk information and second type of risk information.

[0115] In some implementations, referring to step S204 described above, the first type of risk information includes low risk, medium risk, and high risk, and the risk values corresponding to different risks, and the second type of risk information includes 1, 2, and 3, and the risks corresponding to different risk values. When the first type of risk information is the low risk with a risk value of 2A of the operating current of the high-voltage bushing and the corresponding normal data fluctuation value, and the second type of risk information value is 1 and affects 1 other device, the proportion of the first type of risk information and the second type of risk information can be set to 50% each, and the corresponding final risk information can be the low risk with a risk value of 1 and low impact on other devices. When the first type of risk information is the low risk with a risk value of 2A of the operating current of the high-voltage bushing and the corresponding normal data fluctuation value, and the second type of risk information is 3 and affects 4 other devices, the second type of risk information can be given priority, and the corresponding final risk information can be the high risk with a risk value of 3 and high impact on other devices.

[0116] It should be noted that the data involved in the above embodiments are examples and do not limit the method provided in the present application.

[0117] In this embodiment, the operating data of the main transformer and the power supply information corresponding to the operating data are first obtained, and the corresponding current power supply standard data, i.e., the operating data when the main transformer operates normally without risk, is determined according to the power supply information. Then, according to the operating data and the current power supply standard data, the difference data between the two and the normal data fluctuation value corresponding to the current power supply standard data can be obtained. According to the difference data, the normal data fluctuation value, and the preset risk rule, the corresponding first type of risk information is determined; based on the risk assessment model, the second type of risk information corresponding to the operating data is determined according to the operating data and the power supply information. The first type of risk information and the second type of risk information are comprehensively considered, and the preset risk rule is considered, so that the final risk information determined not only considers the risk generated by the devices in the main transformer in the running process, but also considers the risk that the devices in the main transformer may generate when affected by other devices, thereby improving the accuracy of the final risk information obtained by the risk assessment method.

[0118] In some embodiments, the power supply information described above includes the current power supply time, the current load, and the historical standard data corresponding to the current power supply time; and the current power supply standard data is determined according to the power supply information, which can specifically include: obtaining the historical standard data corresponding to the current power supply time according to the current power supply time; the historical standard data is used to represent the historical operating data corresponding to the historical load corresponding to the historical power supply time at the historical power supply time corresponding to the current power supply time; and the current power supply standard data is determined according to the current load and the historical standard data.

[0119] The current power supply time can be the time when the power supply information is obtained. The main transformer can supply power to multiple areas during operation, and each area can involve different power consumption loads. The current load can be the equipment consuming power at the current power supply time. The historical standard data can be operation data when there is no operation risk at the same historical power supply time in the past time period. For example, the current power supply time is 5 pm on a Sunday in February, and the corresponding historical power supply time can be 5 pm on each Sunday in the past, or 5 pm on each Sunday in February of each year, or 5 pm every day in February of each year. The corresponding historical standard data can be a set of operation data when there is no operation risk at 5 pm on each Sunday in the past, or a set of operation data when there is no operation risk at 5 pm on each Sunday in February of each year, or a set of data when there is no operation risk at 5 pm every day in February of each year. Therefore, there can be multiple sets of historical standard data, and these historical standard data and corresponding loads can also be stored in the operation-related database.

[0120] In some implementations, the historical standard data corresponding to the current power supply time can be obtained from the operation-related database. Different sets of historical standard data can correspond to different loads. By comparing the current load at the current power supply time with the loads corresponding to different sets of historical standard data, the historical standard data that matches the current load is determined as the corresponding current power supply standard data.

[0121] In other implementations, multiple historical standard data can be obtained. In this case, the current power supply standard data can be selected according to the generation time of the historical standard data. For example, the current power supply time is 5 pm on a Sunday, and the comparison results in the same load at 5 pm on a Sunday six months ago, 5 pm on a Sunday two months ago, and 5 pm on the previous Sunday. As the main transformer operates over time, it can develop some minor problems that do not pose a risk. The accumulation of these problems can also become an operation risk on a certain day. Therefore, the historical standard data corresponding to 5 pm on a Sunday six months ago can be selected as the current power supply standard data, which is least affected by the operation time and is closest to the situation where there is no operation risk.

[0122] The embodiment obtains the corresponding historical standard data according to the current power supply time corresponding to the power supply information, and determines the historical standard data that best matches the current power supply time as the current power supply standard data according to the corresponding current load. The selection of the current power supply standard data can be changed according to the change of the power supply time, so that the selection result of the current power supply standard data is more reliable.

[0123] In some embodiments, the above-mentioned obtaining the difference data and the normal data fluctuation value corresponding to the current power supply standard data according to the operation data and the current power supply standard data can specifically include: obtaining the difference data according to the operation data and the current power supply standard data, the difference data carrying a corresponding generation position; extracting the generation position corresponding to the difference data; obtaining operation information of the generation position; and determining the normal data fluctuation value corresponding to the current power supply standard data according to the operation information.

[0124] The operation data and the current power supply standard data can include specific operation values in the operation process and information that the values are generated by which main transformer device, i.e., the generation position. Correspondingly, the difference data can include values that are different from the operation data compared with the current power supply standard data and devices that generate the different values. The operation information can include all operation conditions before the current power supply time in the above-mentioned embodiments, such as what time the device in the main transformer corresponds to which load, what operation data is generated, etc. These operation information can be stored in the operation-related database. Referring to the normal data fluctuation value in the above-mentioned step S203, the fluctuation value of the operation data generated by the device in the main transformer under the influence of non-key factors such as weather at the same power supply time and the same load can be considered.

[0125] Specifically, the difference data is obtained by comparing the operation data and the current power supply standard data. The generation position corresponding to the difference data is extracted to determine which devices are included. The operation information of these devices can be found from the operation-related database, and then the operation information without risk is selected from these operation information. Then, the operation information corresponding to the same load as the current power supply standard data is extracted, and the difference between the operation data corresponding to the operation information and the current power supply standard data can be determined as the normal data fluctuation value.

[0126] The embodiment obtains the difference data according to the operation data and the current power supply standard data. The generation position corresponding to the difference data is extracted, and then the operation information of the position is obtained. The normal data fluctuation value corresponding to the current power supply standard data can be determined according to the operation information. The normal data fluctuation value obtained by referring to the generation position of the difference data is more reliable.

[0127] In some embodiments, the above-mentioned method can further specifically include: obtaining historical operation data of the main transformer, power supply information corresponding to the historical operation data, and historical accident information corresponding to the historical operation data; generating risk assessment sample data based on the historical operation data, the power supply information corresponding to the historical operation data, and the historical accident information corresponding to the historical operation data; training the risk assessment model based on the risk assessment sample data to obtain a trained risk assessment model;

[0128] The risk assessment model based on the above determines the two-class risk information corresponding to the operation data, and specifically can include: determining the two-class risk information corresponding to the operation data of the main transformer based on the trained risk assessment model.

[0129] The historical operation data can include operation data corresponding to different time points before the current power supply time point. The power supply information corresponding to the historical operation data can include the load corresponding to the historical operation data, the operation state of the equipment in the main transformer, and the like at different time points before the current power supply time point. The historical accident information corresponding to the historical operation data can include the time point of an accident occurring before the current power supply time point, what kind of accident occurred, and the abnormal operation data of the main transformer when the accident occurred. The historical operation data, the power supply information corresponding to the historical operation data, and the historical accident information corresponding to the historical operation data can be stored in the operation-related database. The risk assessment sample data can be data used for training the risk assessment model.

[0130] Specifically, the historical operation data, the power supply information corresponding to the historical operation data, and the historical accident information corresponding to the historical operation data can be obtained from the operation-related database. A large amount of historical operation data, power supply information corresponding to the historical operation data, and historical accident information corresponding to the historical operation data are input as risk assessment sample data to the risk assessment model for training, so that the trained risk assessment model has the function of directly outputting possible accident information corresponding to the operation data when the operation data and the power supply information corresponding to the operation data are input. The two-class risk information corresponding to the operation data of the main transformer is determined based on the trained risk assessment model.

[0131] The embodiment trains the risk assessment model based on the historical operation data, the power supply information corresponding to the historical operation data, and the historical accident information as training samples, and obtains the trained risk assessment model. The two-class risk information predicted based on the trained risk assessment model is more close to the actual operation process of the equipment in the main transformer, so that the accuracy of the evaluation result obtained based on the two-class risk information is higher.

[0132] In some embodiments, the difference data and the normal data fluctuation value corresponding to the current power supply standard data are obtained based on the operation data and the current power supply standard data, and specifically can include: comparing the operation data and the current power supply standard data to determine the first difference data according to the comparison result; determining the second difference data according to the first difference data and the preset operation mode; obtaining the difference data according to the first difference data and the second difference data; and determining the normal data fluctuation value corresponding to the current power supply standard data.

[0133] The first difference data can be difference data that can be obtained by simple numerical addition, subtraction or comparison without in-depth analysis, and the first difference data is relatively easy to obtain. The preset operation mode can include which device in the main transformer is usually operated first, which device is usually operated last, or when which device appears what kind of data, another device starts to operate, and what kind of sequence of operation data is generated based on this. The second difference data can be difference data that reflects the cause of the difference based on the first difference data and the preset operation mode. For example, based on the first difference data, it is determined that the operation mode corresponding to the operation data of a certain device does not start the cooling device compared with the preset operation mode, or the device operates for a longer time, etc.

[0134] Specifically, the corresponding normal data fluctuation value can be determined according to the current power supply standard data according to the above step S203. The operation data can be compared with the current power supply standard data to obtain a difference value as the first difference data. Then, the first difference data is analyzed based on the preset operation mode to obtain the second difference data. The first difference data and the second difference data are combined as the difference data.

[0135] In this embodiment, the first difference data is obtained by comparing the operation data with the current power supply standard data, and the second difference data that is more difficult to be found is obtained based on the first difference data and the preset operation mode. The first difference data and the second difference data are combined as the difference data, so that the difference data is more reliable and detailed, and the risk information of one type predicted based on the difference data is more accurate.

[0136] In some embodiments, the method can further include: obtaining risk content corresponding to the final risk information; determining whether the risk corresponding to the risk content is a self-regulation risk; if so, obtaining regulation information corresponding to the risk content and regulating according to the regulation information; and if not, issuing a reminder.

[0137] The self-regulation risk can be a risk that can be eliminated by starting or stopping a device in the main transformer, by operating or stopping the operation of the device. The regulation information can be the specific opening and closing conditions when starting or stopping the device in the main transformer, for example, starting a device at a certain time and stopping another device, or using another device to replace the operation of a certain device, which can eliminate the current possible risk. The operation-related database can store the risk corresponding to the historical accident information in the above embodiments, and the regulation information corresponding to the risk.

[0138] Specifically, the corresponding risk can be analyzed from the final risk information, and then it is checked in the running database whether the risk has corresponding regulation information. If yes, it indicates that the risk belongs to self-regulation risk, and then the corresponding regulation information is extracted and the opening and closing operation of the equipment in the corresponding main transformer is performed according to the regulation information. If not, it indicates that the risk cannot be eliminated by self-regulation, and the continuation of operation may cause an accident, at which time a warning or a flashing prompt light can be given to remind.

[0139] The embodiment determines whether the risk belongs to self-regulation risk according to the risk corresponding to the final risk information. If yes, the corresponding regulation information can be called and regulation is performed according to the regulation information to eliminate the risk. If not, a prompt can be given in time to avoid an accident.

[0140] In some embodiments, the historical operation information of the main transformer is determined according to the historical operation data and the power supply information corresponding to the historical operation data, the working parameters of the main transformer are obtained, and whether the main transformer has a delay operation risk is predicted according to the working parameters and the historical operation information.

[0141] The working parameters can be the parameters of the main transformer when it is produced and put into use, such as the model, rated current, impedance voltage, cooling mode, etc. The working parameters of the main transformer can be stored in the power supply information library. The historical operation information can include how long the main transformer has been running from the beginning of use to the current power supply time, what kind of problems have occurred during the operation, the corresponding load determined by historical detection when the problem occurs, or what kind of abnormal situation has occurred during the operation without causing an accident, and the change of the working parameters of the main transformer when the abnormal situation occurs, etc. In some implementations, as the running time increases, some impurities may accumulate inside the main transformer, or some components may be damaged, at which time the working parameters of the main transformer may change. The delay operation risk can be a risk that may occur as the running time of the main transformer becomes longer and longer.

[0142] Specifically, the historical operation data and the power supply information corresponding to the historical operation data can be integrated to obtain the historical operation information of the main transformer. The working parameters of the main transformer are extracted from the power supply information library. The working parameters at the current power supply time are obtained according to the working parameters at the time of leaving the factory and the changes of the working parameters at different times in the historical operation information. Then, the difference data can be compared to predict whether there is a delay operation risk.

[0143] The embodiment obtains historical operation information of the main transformer according to historical operation data and power supply information corresponding to the historical operation data. The working parameters and the historical operation information of the main transformer are combined to predict the delay operation risk, avoid problems that are difficult to detect and affect the main transformer equipment due to long operation time of the main transformer, further avoid accidents after a period of time, and improve the accuracy of the risk prediction result.

[0144] Figure 3 A structural schematic diagram of a main transformer operation risk assessment device provided by an embodiment of the present application is shown in the figure, and the main transformer operation risk assessment device 300 of the embodiment includes an acquisition module 301, a current power supply standard data determination module 302, a normal data fluctuation value determination module 303, a first type risk information determination module 304, a second type risk information determination module 305, and a final risk information determination module 306. Figure 3

[0145] The acquisition module 301 is configured to acquire operation data of a main transformer and power supply information corresponding to the operation data.

[0146] The current power supply standard data determination module 302 is configured to determine corresponding current power supply standard data according to the power supply information.

[0147] The normal data fluctuation value determination module 303 is configured to obtain difference data and normal data fluctuation values corresponding to the current power supply standard data according to the operation data and the current power supply standard data.

[0148] The first type risk information determination module 304 is configured to determine first type risk information corresponding to the difference data according to the difference data, the normal data fluctuation values, and a preset risk rule, the preset risk rule is used to represent different risks corresponding to different difference data under the normal data fluctuation values, and the preset risk rule includes the first type risk information.

[0149] The second type risk information determination module 305 is configured to determine second type risk information corresponding to the operation data according to the operation data and the power supply information.

[0150] The final risk information determination module 306 is configured to determine final risk information of the operation data according to the first type risk information, the second type risk information, and the preset risk rule, the final risk information includes risk content and risk intensity.

[0151] Optionally, the normal data fluctuation value determination module 303 is specifically configured to:

[0152] ​According to the current power supply time, historical standard data corresponding to the current power supply time is acquired; the historical standard data is used to represent historical operation data corresponding to a historical load at a historical power supply time corresponding to the current power supply time;

[0153] According to the current load and the historical standard data, corresponding current power supply standard data is determined.

[0154] Optionally, the normal data fluctuation value determination module 303 is specifically configured to:

[0155] According to the operation data and the current power supply standard data, difference data is obtained, and the difference data carries a corresponding generation position;

[0156] The generation position corresponding to the difference data is extracted;

[0157] Operation information of the generation position is acquired;

[0158] According to the operation information, a normal data fluctuation value corresponding to the current power supply standard data is determined.

[0159] Optionally, the main transformer operation risk assessment device 300 further includes a risk assessment model training module 307, configured to

[0160] The historical operation data of the main transformer, power supply information corresponding to the historical operation data, and historical accident information corresponding to the historical operation data are acquired;

[0161] Based on the historical operation data, the power supply information corresponding to the historical operation data, and the historical accident information corresponding to the historical operation data, risk assessment sample data is generated;

[0162] Based on the risk assessment sample data, the risk assessment model is trained to obtain a trained risk assessment model;

[0163] Optionally, the normal data fluctuation value determination module 303 is specifically configured to:

[0164] Based on the trained risk assessment model, second risk information corresponding to the operation data of the main transformer is determined.

[0165] Optionally, the normal data fluctuation value determination module 303 is specifically configured to:

[0166] The operation data and the current power supply standard data are compared, and first difference data is determined according to a comparison result;

[0167] Second difference data is determined according to the first difference data and a preset operation mode;

[0168] According to the first difference data and the second difference data, difference data is obtained.

[0169] According to the current power supply standard data, corresponding normal data fluctuation values are determined.

[0170] Optionally, the main transformer operation risk assessment device 300 further comprises a self-regulation risk judgment module 308, configured to

[0171] Obtain the risk content corresponding to the final risk information.

[0172] Judge whether the risk corresponding to the risk content is a self-regulation risk.

[0173] If yes, obtain the regulation information corresponding to the risk and perform regulation according to the regulation information.

[0174] If not, an alert is sent.

[0175] Optionally, the main transformer operation risk assessment device 300 further comprises a delay operation risk prediction module 309, configured to:

[0176] According to the historical operation data and the power supply information corresponding to the historical operation data, determine the historical operation information of the main transformer.

[0177] Obtain the working parameters of the main transformer, and according to the working parameters and the historical operation information, predict whether the main transformer has a delay operation risk.

[0178] The device of the embodiment can be used to execute the method of any of the above embodiments, and has similar implementation principles and technical effects, which will not be described here.

[0179] Figure 4 A structural schematic diagram of an electronic device provided by an embodiment of the present application is shown in FIG. 4. Figure 4 As shown in FIG. 4, the electronic device 400 of the embodiment can include a memory 401 and a processor 402.

[0180] The memory 401 stores a computer program capable of being loaded and executed by the processor 402 to perform the method in the above embodiments.

[0181] The processor 402 and the memory 401 are connected, for example, through a bus.

[0182] Optionally, the electronic device 400 can further include a transceiver. It should be noted that the transceiver in actual application is not limited to one, and the structure of the electronic device 400 does not constitute a limitation on the embodiments of the present application.

[0183] The processor 402 can be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other programmable logic device, transistor logic device, hardware component, or any combination thereof. It can implement or execute various exemplary logical blocks, modules and circuits described in combination with the disclosure. The processor 402 can also be a combination of computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc.

[0184] The bus can include a path for transmitting information between the above-mentioned components. The bus can be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, only one thick line is shown in the figure, but it does not mean that there is only one bus or only one type of bus.

[0185] The memory 401 can be a ROM (Read Only Memory) or other type of static storage device that can store static information and instructions, a RAM (Random Access Memory) or other type of dynamic storage device that can store information and instructions, an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical disk storage, an optical disk storage (including a compact disk, a laser disk, an optical disk, a digital versatile disk, a Blu-ray disk, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program codes in the form of instructions or data structures and can be accessed by a computer, but not limited to.

[0186] The memory 401 is used to store application program codes for implementing the scheme of the present application, and is controlled by the processor 402 to execute. The processor 402 is used to execute the application program codes stored in the memory 401 to realize the content shown in the foregoing method embodiments.

[0187] The electronic device includes, but is not limited to, a mobile terminal such as a mobile phone, a notebook computer, a digital broadcast receiver, a PDA (Personal Digital Assistant), a PAD (Tablet Personal Computer), a PMP (Portable Multimedia Player), a car terminal (for example, a car navigation terminal), and the like, and a stationary terminal such as a digital TV, a desktop computer, and the like. It can also be a server or the like. Figure 4 The illustrated electronic device is merely an example and should not impose any limitation on the function and use range of the embodiments of the present application.

[0188] The electronic device of the embodiments can be used to execute the method of any of the above embodiments, and the implementation principle and technical effects are similar, which will not be described here.

[0189] The present application also provides a computer readable storage medium storing a computer program capable of being loaded and executed by a processor to perform the method in the above embodiments.

[0190] Those skilled in the art can understand that all or part of the steps of the above-mentioned method embodiments can be completed by program instruction related hardware. The foregoing program can be stored in a computer readable storage medium. When the program is executed, the steps of the above-mentioned method embodiments are executed; and the foregoing storage medium includes ROM, RAM, magnetic disk or optical disk and various media that can store program codes.

Claims

1. A method for evaluating the operation risk of a main transformer, characterized in that, The main transformer comprises a transformer, a high-voltage bushing, a low-voltage bushing, a gas relay and a cooler; the method comprises: obtaining operation data of a main transformer and power supply information corresponding to the operation data; the operation data comprises winding temperature, upper oil temperature, continuous operation time and operation voltage; the power supply information comprises current power supply time, current load, historical standard data corresponding to the current power supply time; obtaining historical standard data corresponding to the current power supply time according to the current power supply time; the historical standard data is used to represent historical operation data corresponding to a historical load at a historical power supply time corresponding to the current power supply time; determining corresponding current power supply standard data according to the historical standard data and equipment corresponding to the current load; obtaining difference data and normal data fluctuation values corresponding to the current power supply standard data according to the operation data and the current power supply standard data; the difference data is data in the operation data that is different from the current power supply standard data; determining an actual fluctuation value according to the difference data and the current power supply standard data; determining a risk value according to a difference between the actual fluctuation value and the normal data fluctuation value; determining a type of risk information corresponding to the difference data in combination with a preset risk rule, the preset risk rule being used to represent different risks corresponding to different difference data under the normal data fluctuation value, the preset risk rule comprising a plurality of types of risk information; the type of risk information comprising a specific type of risk and a corresponding risk value; determining a second type of risk information corresponding to the operation data according to the operation data and the power supply information based on a risk assessment model; the second type of risk information comprising a specific second type of risk and a corresponding risk value; the risk value corresponding to the second type of risk being related to a number of affected devices; determining final risk information of the operation data according to the first type of risk information, the second type of risk information and the preset risk rule, the final risk information comprising risk content and risk intensity.

2. The method of claim 1, wherein, The operation data and the current power supply standard data are used to obtain difference data and normal data fluctuation values corresponding to the current power supply standard data, comprising: obtaining difference data according to the operation data and the current power supply standard data, the difference data carrying a corresponding generation position; extracting the generation position corresponding to the difference data; obtaining operation information of the generation position; determining normal data fluctuation values corresponding to the current power supply standard data according to the operation information.

3. The method of claim 1, wherein, Further comprising: obtaining historical operation data of the main transformer, power supply information corresponding to the historical operation data and historical accident information corresponding to the historical operation data; generating risk assessment sample data based on the historical operation data, the power supply information corresponding to the historical operation data and the historical accident information corresponding to the historical operation data; training the risk assessment model based on the risk assessment sample data to obtain a trained risk assessment model; wherein the risk assessment model is used to determine the second type of risk information corresponding to the operation data, comprising: Based on the trained risk assessment model, determine the operation data of the main transformer corresponding to the second-class risk information.

4. The method according to any one of claims 1 to 3, characterized in that, According to the operation data and the current power supply standard data, the difference data and the normal data fluctuation value corresponding to the current power supply standard data are obtained, which includes: Comparing the operation data and the current power supply standard data, and determining the first difference data according to the comparison result; According to the first difference data and the preset operation mode, determine the second difference data; According to the first difference data and the second difference data, the difference data is obtained; According to the current power supply standard data, the corresponding normal data fluctuation value is determined.

5. The method of claim 1, wherein, Also includes: Obtain the risk content corresponding to the final risk information; Determine whether the risk corresponding to the risk content is a self-regulation risk; If so, obtain the regulation information corresponding to the risk and regulate according to the regulation information; If not, issue a reminder.

6. The method of claim 3, wherein, Also includes: According to the historical operation data and the power supply information corresponding to the historical operation data, determine the historical operation information of the main transformer; Obtain the working parameters of the main transformer, and predict whether there is a delay operation risk of the main transformer according to the working parameters and the historical operation information.

7. A main transformer operation risk assessment apparatus characterized by comprising: a main transformer operation risk assessment device according to any one of claims 1 to 6. The main transformer includes transformer, high voltage bushing, low voltage bushing, gas relay and cooler; the device includes: The acquisition module is used for acquiring the operation data of the main transformer and the power supply information corresponding to the operation data; the operation data includes winding temperature, upper oil temperature, continuous operation time and operation voltage; the power supply information includes current power supply time, current load, historical standard data corresponding to the current power supply time; The current power supply standard data determination module is used for acquiring the historical standard data corresponding to the current power supply time according to the current power supply time; the historical standard data is used to represent the historical operation data corresponding to the historical load corresponding to the historical power supply time at the historical power supply time corresponding to the current power supply time; According to the equipment corresponding to the current load and the historical standard data, determine the corresponding current power supply standard data; The normal data fluctuation value determination module is used for obtaining the difference data and the normal data fluctuation value corresponding to the current power supply standard data according to the operation data and the current power supply standard data; the difference data is the data different from the current power supply standard data in the operation data; The first risk information determination module is used for determining the actual fluctuation value according to the difference data and the current power supply standard data; determining the risk value according to the difference between the actual fluctuation value and the normal data fluctuation value; combining the preset risk rule to determine the first risk information corresponding to the difference data, the preset risk rule is used to represent different risks corresponding to different difference data under the normal data fluctuation value, the preset risk rule includes a plurality of first risk information; the first risk information includes a specific first risk and a corresponding risk value; The second-class risk information determination module is configured to determine second-class risk information corresponding to the operation data based on a risk assessment model according to the operation data and the power supply information; the second-class risk information includes specific second-class risks and corresponding risk values; the risk value corresponding to the second-class risk is related to the number of affected devices; The final risk information determination module is configured to determine final risk information of the operation data according to the first-class risk information, the second-class risk information and the preset risk rule; the final risk information includes risk content and risk intensity.

8. An electronic device, comprising: Comprise: a memory and a processor; the memory is configured to store program instructions; the processor is configured to call and execute the program instructions in the memory, and execute the main transformer operation risk assessment method according to any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, The computer readable storage medium stores a computer program; when the computer program is executed by the processor, the main transformer operation risk assessment method according to any one of claims 1-6 is realized.

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