CN118133199A

CN118133199A - Transformer monitoring method and device, electronic equipment and storage medium

Info

Publication number: CN118133199A
Application number: CN202410250068.9A
Authority: CN
Inventors: 潘小强; 丁磊
Original assignee: People Electrical Appliance Group Shanghai Co Ltd
Current assignee: People Electrical Appliance Group Shanghai Co Ltd
Priority date: 2024-03-05
Filing date: 2024-03-05
Publication date: 2024-06-04

Abstract

A transformer monitoring method, a device, electronic equipment and a storage medium relate to the technical field of transformers. The method comprises the following steps: acquiring operation parameters of a transformer and environmental parameters of the position of an oil well control cabinet; calculating a risk value according to the operation parameter and/or the environment parameter; and when the risk value exceeds a first threshold value, generating an early warning signal. By adopting the application, the accuracy of monitoring the running state of the transformer can be improved.

Description

Transformer monitoring method and device, electronic equipment and storage medium

Technical Field

The application relates to the technical field of transformers, in particular to a transformer monitoring method, a transformer monitoring device, electronic equipment and a storage medium.

Background

The transformer is a key device in the oil well control cabinet, and the running state of the transformer directly influences the stable and reliable running of the whole system. However, in the prior art, the operation parameters of the transformer are monitored for early warning, so that the influence of environmental conditions on the transformer in the oil well control cabinet is difficult to evaluate, and the accuracy of monitoring the operation state of the transformer is low.

Disclosure of Invention

The application provides a transformer monitoring method, a device, electronic equipment and a storage medium, which can improve the accuracy of monitoring the running state of a transformer.

In a first aspect of the present application, the present application provides a transformer monitoring method applied to a controller in an oil well control cabinet, wherein a transformer is arranged in the oil well control cabinet, the controller is connected with the transformer, and the transformer monitoring method includes:

Acquiring the operation parameters of the transformer and the environmental parameters of the position of the oil well control cabinet;

calculating a risk value according to the operation parameter and/or the environment parameter;

And when the risk value exceeds a first threshold value, generating an early warning signal.

By adopting the technical scheme, the comprehensive monitoring of the running state of the transformer is realized by acquiring the running parameters of the transformer and the environmental parameters of the environment where the oil well control cabinet is located. The operating parameters can directly reflect the working state of the transformer, and the environmental parameters can evaluate the influence of the environment on the transformer. And monitoring the operation parameters and the environment parameters of the transformer, comprehensively judging the operation condition of the transformer, and realizing the comprehensive evaluation of the operation risk of the transformer.

And calculating a risk value based on the operation parameters and the environment parameters, wherein the risk value reflects the possibility of the transformer fault, and judging the abnormal condition of the transformer by using the risk value. Calculating the risk value enables a more accurate assessment of the operating state of the transformer than a simple threshold monitoring.

And setting a first threshold value, comparing the first threshold value with the calculated risk value, and sending an early warning signal to maintenance personnel when the risk value exceeds the first threshold value. The early warning signal can lead maintenance personnel to intervene in advance, and preventive measures are taken to avoid the occurrence of fault shutdown of the transformer.

Optionally, the environmental parameters include salt spray concentration, humidity and wind speed, the operation parameters include insulation resistivity, operation temperature, oil level and oil temperature, and calculating a risk value according to the operation parameters and the environmental parameters includes:

Calculating a first insulation strength according to the salt spray concentration, the wind speed and the insulation resistivity;

calculating a second insulation strength based on the humidity, the insulation resistivity, the operating temperature, the oil level, and the oil temperature;

And determining the sum of the first insulating strength and the second insulating strength as a risk value.

By adopting the technical scheme, the first insulation strength calculation and the second insulation strength calculation are performed separately. The first insulation strength is based on the salt spray concentration, wind speed and insulation resistivity, and can evaluate the influence of the salt spray itself on the insulation performance. The second insulation strength is based on humidity, temperature, oil level and oil temperature parameters, and can evaluate the influence of the operating state of the transformer on the insulation performance.

The first insulation strength and the second insulation strength are calculated separately, so that the mutual influence among different environmental factors can be avoided, and the accuracy of a calculation result is improved. The first insulating strength is reflected in the salt spray corrosion effect, the second insulating strength is reflected in the operation parameter change effect, and the insulating performance can be comprehensively evaluated by combining the first insulating strength and the second insulating strength.

Optionally, the calculating the first insulation strength according to the salt spray concentration, the wind speed and the insulation resistivity includes:

substituting the salt fog concentration, the wind speed and the insulation resistivity into a first preset formula to obtain first insulation strength; the first preset formula is as follows:

Wherein I ₁ represents the first insulation strength, f (S ^', R) represents a calculation function corresponding to the first preset formula, S ^' represents an effective salt spray concentration after diffusion based on the wind speed, R represents an insulation resistivity, k ₁ represents an adjustment coefficient, k ₂ represents an offset coefficient, V represents the wind speed, and D represents a diffusion coefficient of the wind speed affecting the salt spray concentration.

Through adopting above-mentioned technical scheme, first preset formula can calculate based on the actual effective salt fog concentration after the wind speed diffusion influences according to the wind speed change condition, combines insulation resistivity again, evaluates first insulating strength. Compared with the direct use of the salt fog concentration, the calculation of the first insulation strength can be more accurate by considering the influence of wind speed, and the insulation strength of the actual salt fog effect is reflected. The adjustment coefficient and the offset coefficient make the model closer to the actual situation.

Optionally, the calculating the second insulation strength according to the humidity, the insulation resistivity, the operating temperature, the oil level, and the oil temperature includes:

Substituting the humidity, the insulation resistivity, the running temperature, the oil level and the oil temperature into a second preset formula to obtain the second insulation strength;

Wherein, the second preset formula is:

Wherein m ₁、m₂ and m ₃ represent adjustment coefficients, I ₂ represents the second dielectric strength, R represents the insulation resistivity, R ₀ represents a standard insulation resistivity under dry conditions, H represents the humidity, T _op represents the operating temperature, T _ref represents a standard operating temperature, G (L, T _oil) represents a function of the oil level and the oil temperature, L represents the oil level, T _oil represents the oil temperature, Representing the negative effect of said humidity on the dielectric strength,/>Indicating a negative impact on the dielectric strength when the operating temperature is above the standard operating temperature,

Wherein,Wherein m ₄ and m ₅ represent adjustment coefficients, L _ref represents a standard oil level, T _oil-ref represents a standard oil temperature,/>Representing the influence on the insulation strength when the oil level deviates from the standard oil level by a gaussian function, the farther the oil level deviates from the center value, the greater the influence,Indicating the effect on the dielectric strength of the oil temperature when it deviates from the standard oil temperature.

By adopting the technical scheme, the second preset formula can quantitatively analyze the effect of different operation parameters of the transformer on the insulation performance. By measuring and calculating each operation parameter, the second insulation strength can be estimated in real time, and the insulation state of the transformer can be accurately reflected.

Optionally, the operation parameters include an operation temperature, a load current, a load voltage, an oil level, and an oil temperature, and the calculating the risk value according to the operation parameters includes:

and carrying out weighted summation on at least two of the operating temperature, the load current, the load voltage, the oil level and the oil temperature to obtain the risk value.

By adopting the technical scheme, the operating parameters of the scheme comprise operating temperature, load current, load voltage, oil level and oil temperature, and the parameters can directly reflect the working state of the transformer. And carrying out weighted summation on at least two items of the operation parameters to obtain a risk value. The different contributions of different parameters to the risk are distinguished, so that the risk value calculation is more accurate.

Optionally, when the risk value exceeds a first threshold, generating an early warning signal includes:

determining at least one fault point based on the operating temperature, the load current, the load voltage, the oil level, and the oil temperature when the risk value exceeds a first threshold value;

and generating an early warning signal according to each fault point.

By adopting the technical scheme, when the risk value exceeds the first threshold value, the scheme can call the fault diagnosis module, and the fault point of the transformer is determined according to the operation parameters. The purpose of determining the fault point is to find the specific position of the transformer with abnormality, and provide guidance for the inspection and processing of maintenance personnel. After receiving the early warning containing the fault point information, maintenance personnel can directly go to the corresponding fault position for checking and processing, and the maintenance efficiency is improved.

Optionally, the method further comprises:

and stopping the operation of the oil well control cabinet when the risk value exceeds a second threshold value, wherein the second threshold value is larger than the first threshold value.

By adopting the technical scheme, the two risk thresholds are set, wherein the second threshold is larger than the first threshold, and two-stage control is formed. The first threshold is used for sending out risk early warning, so that maintenance personnel can take preventive measures. The second threshold value is used for sending out a stop command and stopping the operation of the oil well control cabinet. Compared with a single threshold value, the two-stage threshold value can be set to realize hierarchical control of risks. When the risk is at a first threshold value, milder early warning measures are adopted; when the risk further increases to the second threshold, then system shutdown protection is implemented. The two thresholds work cooperatively, and the first threshold leaves a margin to avoid false alarm; the second threshold value ensures that the machine is stopped when the risk is high, and accidents are prevented.

In a second aspect of the application there is provided a transformer monitoring device comprising:

The parameter acquisition module is used for acquiring the operation parameters of the transformer and the environmental parameters of the position of the oil well control cabinet; the risk value calculation module is used for calculating a risk value according to the operation parameters and/or the environment parameters;

And the early warning signal generation module is used for generating an early warning signal when the risk value exceeds a first threshold value.

In a third aspect the application provides a computer storage medium storing a plurality of instructions adapted to be loaded by a processor and to perform the above-described method steps.

In a fourth aspect of the application there is provided an electronic device comprising: a processor, a memory; wherein the memory stores a computer program adapted to be loaded by the processor and to perform the above-mentioned method steps.

In summary, one or more technical solutions provided in the embodiments of the present application at least have the following technical effects or advantages:

By adopting the technical scheme of the application, the comprehensive monitoring of the running state of the transformer is realized by acquiring the running parameters of the transformer and the environmental parameters of the environment where the oil well control cabinet is positioned. The operating parameters can directly reflect the working state of the transformer, and the environmental parameters can evaluate the influence of the environment on the transformer. And monitoring the operation parameters and the environment parameters of the transformer, comprehensively judging the operation condition of the transformer, and realizing the comprehensive evaluation of the operation risk of the transformer.

And setting a first threshold value, comparing the first threshold value with the calculated risk value, and sending an early warning signal to maintenance personnel when the risk value exceeds the first threshold value. The early warning signal can lead maintenance personnel to intervene in advance, and preventive measures are taken to avoid the occurrence of fault shutdown of the transformer. The early warning response can reduce the influence of the transformer fault on the system.

Drawings

Fig. 1 is a schematic flow chart of a transformer monitoring method according to an embodiment of the present application;

fig. 2 is a schematic structural diagram of a transformer monitoring method according to an embodiment of the present application;

fig. 3 is a schematic structural diagram of an electronic device according to the disclosure.

Reference numerals illustrate: 300. an electronic device; 301. a processor; 302. a communication bus; 303. a user interface; 304. a network interface; 305. a memory.

Detailed Description

In order that those skilled in the art will better understand the technical solutions in the present specification, the technical solutions in the embodiments of the present specification will be clearly and completely described below with reference to the drawings in the embodiments of the present specification, and it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments.

In describing embodiments of the present application, words such as "for example" or "for example" are used to mean serving as examples, illustrations, or descriptions. Any embodiment or design described herein as "such as" or "for example" in embodiments of the application should not be construed as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "or" for example "is intended to present related concepts in a concrete fashion.

In the description of embodiments of the application, the term "plurality" means two or more. For example, a plurality of systems means two or more systems, and a plurality of screen terminals means two or more screen terminals. Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating an indicated technical feature. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless expressly specified otherwise.

The embodiment of the application provides a transformer monitoring method which is applied to a controller in an oil well control cabinet, wherein a transformer is arranged in the oil well control cabinet, and the controller is connected with the transformer. In one embodiment, please refer to fig. 1, fig. 1 is a flowchart illustrating a transformer monitoring method according to an embodiment of the present application, which may be implemented by a computer program, and the computer program may be integrated into an application or may be run as a separate tool application. The method can be realized by depending on a singlechip, and can also be operated on a transformer monitoring device based on a von Neumann system. Specifically, the method may include the steps of:

Step 101: and acquiring the operation parameters of the transformer and the environmental parameters of the position of the oil well control cabinet.

The oil well control cabinet and the transformer are key power equipment arranged on an oil and gas drilling site and are used for monitoring, controlling and protecting the running state of an oil well. The oil well control cabinet is understood to be a large metal box body provided with an electrical control device and arranged on an oil well drilling platform, and the large metal box body is connected with underground equipment through a cable so as to realize remote control and monitoring of an oil well. The transformer is arranged inside the control cabinet and is used for supplying power to the control cabinet or carrying out power transmission with underground equipment. The good operating condition of the transformer directly affects the normal operation of the well system.

The operation parameters refer to various technical indexes reflecting the operation state of the transformer and are used for monitoring and judging the operation condition of the transformer. In the embodiments of the present application, the operation parameter may be understood as an operation characteristic parameter related to the operation of the transformer. These operating parameters can reflect the operating conditions of the transformer from different sides. By detecting and analyzing the real-time values of the operation parameters, the basis can be provided for accurately evaluating and monitoring the operation state of the transformer. The environmental parameters refer to various technical indexes reflecting the environmental conditions of the oil well control cabinet and are used for evaluating the influence of the environmental conditions on the operation of the transformer.

In the embodiments of the present application, the environmental parameter may be understood as an environmental characteristic parameter related to the position of the oil well control cabinet. Wherein, the salt fog concentration reflects the severity of salt damage, the humidity reflects the climate humid condition, and the wind speed reflects the heat dissipation condition. The acquisition of these environmental parameters allows to understand the environmental conditions in which the transformer operates, since the environmental conditions directly influence and restrict the operating characteristics of the transformer.

Specifically, detection sensors can be arranged on the transformer and the surrounding environment to acquire real-time data of various parameters, and the real-time data are transmitted to a controller in an oil well control cabinet for analysis. After the operation parameters and the environment parameters of the transformer are obtained, the operation state of the transformer can be judged from multiple aspects to judge whether the abnormality or the fault exists.

Step 102: the risk value is calculated based on the operating parameters, and/or the environmental parameters.

After the transformer operating parameters and environmental parameters are obtained, risk values need to be calculated according to these parameters to evaluate the operating state and the fault risk of the transformer. The operation parameters and the environment parameters can be utilized simultaneously to construct the comprehensive risk calculation model. The risk value obtained through calculation can judge whether the operation of the transformer is abnormal, the fault possibility, the expected fault form and the like, and the evaluation and the risk prediction of the operation state of the transformer are realized. Through calculation of the risk value, the operation risk of the transformer can be grasped dynamically, and quantification of the risk is achieved. The method provides basis for risk threshold judgment and early warning in the subsequent steps, so that monitoring and early warning are more targeted, and the running safety and reliability of the transformer are improved.

As an implementation scenario, offshore oil production platforms are often exposed to sea fog containing high salinity, which environment places additional corrosion protection demands on oil production equipment, including electrical equipment such as transformers in oil well control cabinets. In addition, coastal areas on land may also be affected by salt spray, especially on windy days, where salt can be blown by the wind to quite distant inland areas. The existing monitoring system can not realize early diagnosis and early warning of the special corrosion process in the high salt spray environment.

Based on this, as an alternative embodiment, when the application scenario of the oil well control cabinet is in a high salt spray region, the environmental parameters may include salt spray concentration, humidity, and wind speed, and the operation parameters may include insulation resistivity, operation temperature, oil level, and oil temperature.

The salt fog concentration reflects parameters of salt content in the air of the ocean or coastal area, and directly influences the insulation strength; the humidity reflects the parameter of the air water content and influences the insulation performance of the transformer; the wind speed reflects the parameters of the air flow rate and influences the heat dissipation effect; the insulation resistivity reflects parameters of insulation performance and is used for evaluating insulation health status; the operation temperature reflects parameters of the temperature of the transformer, and the overheat risk is judged; the oil level reflects a parameter of the oil quantity of the oil tank; the oil temperature reflects the parameters of the oil temperature and can be used for evaluating the oil insulation effect. In the high salt fog region, the salt fog concentration and humidity are higher, and the insulation performance is seriously affected. Therefore, the parameters can comprehensively reflect the running state of the transformer, and the risk assessment is realized.

Based on the above embodiment, as an alternative embodiment, in step 102: the step of calculating the risk value according to the operation parameter and the environment parameter may specifically further comprise the steps of:

Step 201: and calculating the first insulating strength according to the salt spray concentration, the wind speed and the insulating resistivity.

The first insulation strength refers to parameters reflecting insulation performance of the transformer insulator in a high salt spray environment and is used for evaluating influence degree of salt spray concentration and wind speed on the insulation performance of the insulator. In the embodiment of the present application, it can be understood that the index value representing the insulation performance calculated based on the salt spray concentration, the wind speed and the insulation resistivity.

Step 202: the second dielectric strength is calculated from the humidity, dielectric resistivity, operating temperature, oil level, and oil temperature.

The second insulativity strength refers to parameters reflecting the insulation performance of the transformer insulator in a high-salt-mist environment and is used for evaluating the influence degree of humidity, temperature, oil level and oil temperature on the insulation performance of the insulator. The index value representing the insulation performance calculated based on the humidity, insulation resistivity, operating temperature, oil level, and oil temperature can be understood in the embodiment of the present application.

Step 203: the sum of the first insulating strength and the second insulating strength is determined as a risk value.

In the embodiment of the application, two indexes of the first insulating strength and the second insulating strength are set, because factors influencing the insulating performance in a high-salt-mist environment can be divided into two types, wherein the first type is salt mist concentration and wind speed related to salt mist, and the second type is humidity, temperature, oil level and oil temperature related to transformer operation. Two indexes are designed aiming at different types of influence factors, so that each index is more targeted and representative. In the calculation method, the influence of wind speed on salt spray diffusion is considered in the first insulating strength, the oil insulating effect is considered in the second insulating strength, and the calculation formula is designed aiming at specific factors, so that the accuracy is high.

The two insulating strengths are calculated separately, so that the mutual influence among different environmental factors can be avoided, and the accuracy of the result is improved. And the sum of the two insulating strengths is used as a risk value, so that the influence of each factor can be reflected at the same time, and comprehensive evaluation is realized. In addition, the calculation thought can provide reference for insulation performance evaluation under various environmental conditions, and has certain universality.

On the basis of the above embodiment, as an alternative embodiment, in step 201: according to the salt spray concentration, the wind speed and the insulation resistivity, the step of calculating the first insulation strength can further comprise the following steps:

Substituting the salt fog concentration, the wind speed and the insulation resistivity into a first preset formula to obtain first insulation strength;

the first preset formula is as follows:

Wherein I ₁ denotes a first insulating strength, f (S ^', R) denotes a calculation function corresponding to a first preset formula, S ^' denotes an effective salt spray concentration after diffusion based on wind speed, R denotes an insulating resistivity, k ₁ denotes an adjustment coefficient, k ₂ denotes an offset coefficient, V denotes a wind speed, and D denotes a diffusion coefficient of the wind speed affecting the salt spray concentration.

Specifically, the formula is a theoretical model for calculating the first dielectric strength, which considers several key factors: insulation resistivity, salt spray concentration, wind speed and coefficient of wind speed to salt spray concentration diffusion effect.

Wherein the first dielectric strength is a calculated variable that indicates the ability of an insulator to maintain its dielectric properties under certain environmental conditions, and a high value of the first dielectric strength indicates good dielectric properties. Insulation resistivity is a physical quantity that measures the ability of an insulating material to resist the passage of current, high resistivity generally means better insulating properties.

The salt mist concentration indicates the concentration of salt in the environment, and can cause corrosion to the insulator, thereby degrading the insulating properties. The wind speed influences the distribution and concentration of salt mist, and can promote the diffusion of salt, so that the salt mist concentration in a local area is changed.

The diffusion coefficient is a coefficient describing how the wind speed affects the diffusion of salt mist, and may be expressed as the diffusion capacity of salt mist at a specific wind speed. e ^-D×V represents the diffusion effect of wind speed on salt spray concentration, and the product of D and V is an exponential term, which simulates the rate of salt spray concentration decrease with increasing wind speed.

The coefficients of k ₁ and k ₂ are adjusted according to actual conditions to ensure that the predictions of the model are consistent with the actual conditions. k ₁ adjusts the overall output scale of the formula, while k ₂ prevents problems when the salt spray concentration is near zero.

Further, the first preset formula combines insulation resistivity, salt spray concentration, wind speed and correlation coefficient to provide a method for predicting insulation performance; meanwhile, the first preset formula considers high salt spray environmental conditions such as the concentration and the wind speed of salt spray, so that the prediction is more consistent with the performance in the actual environment. The designer can optimize the insulation performance by adjusting R while evaluating the risk that S and V may bring in order to design a more robust insulation system; maintenance personnel and engineers may use the first preset formula as a decision tool to plan maintenance cycles or predict in advance risk mitigation measures that may need to be taken.

Based on the above embodiment, as an alternative embodiment, in step 202: the step of calculating the second insulation strength based on the humidity, insulation resistivity, operating temperature, oil level, and oil temperature may further include the steps of: substituting the humidity, the insulation resistivity, the running temperature, the oil level and the oil temperature into a second preset formula to obtain second insulation strength; the second preset formula is as follows:

Wherein m ₁、m₂ and m ₃ represent adjustment coefficients, I ₂ represents second insulation strength, R represents insulation resistivity, R ₀ represents standard insulation resistivity under dry conditions, H represents humidity, T _op represents operating temperature, T _ref represents standard operating temperature, G (L, T _oil) represents a function of oil level and oil temperature, L represents oil level, T _oil represents oil temperature, Indicating the negative effect of humidity on the dielectric strength,/>Indicating a negative impact on the dielectric strength when the operating temperature is above the standard operating temperature,

Wherein,Wherein m ₄ and m ₅ represent adjustment coefficients, L _ref represents a standard oil level, T _oil-ref represents a standard oil temperature,/>The influence on the insulation strength when the oil level deviates from the standard oil level is expressed by a gaussian function, the farther the oil level deviates from the center value is, the larger the influence is,The influence of the oil temperature on the insulation strength when the oil temperature deviates from the standard oil temperature is shown.

Specifically, humidity H is a measure of the ambient humidity, typically expressed as a percentage of relative humidity. An increase in humidity reduces the insulating properties of the insulating material and thus corresponds to an exponential decay term in the formula.

The insulation resistivity R is the resistivity of the insulating material of the transformer and is an index for measuring the current passing resistance of the material. Higher resistivity means better insulation properties. R ₀ is the insulation resistivity measured under standard or dry conditions, used as a reference for comparison.

The operating temperature is the temperature at which the transformer is operating, and an increase in operating temperature generally reduces the insulation performance, also represented by an exponential decay term in the second predetermined formula. The reference temperature is an ambient temperature or a standard operating temperature for comparison with the actual operating temperature.

The oil level is the height of the oil level inside the transformer, and too low an oil level may expose the insulating material, resulting in a decrease in insulating properties. The ideal oil level is a set ideal oil level, and can reflect the optimal insulation performance. The oil temperature is the temperature of the transformer oil and can directly influence the performance of the insulating oil. The ideal oil temperature is a specified ideal oil temperature. This value is the optimum operating temperature of the transformer oil beyond which it may reduce the dielectric strength of the oil.

M ₁ is a scaling factor used to calibrate the output of the overall formula to conform to the magnitude of the actual dielectric strength. It may be a constant derived based on experimental data to ensure that the model predicted value matches the actual value; m ₂ is used to adjust the degree of influence of humidity on the dielectric strength. Higher humidity generally reduces the insulating properties of the insulating material and the value of m ₂ determines the sensitivity of humidity changes to the influence of the insulating properties. If m ₂ is large, even a small increase in humidity will result in a significant decrease in insulation properties; m ₃ is similar to m ₂ for regulating the effect of operating temperature variations on insulation properties. Temperature has a great influence on the insulating material, since it can change the physical and chemical properties of the material. The value of m ₃ quantitatively describes the negative effect of the increase in operating temperature on the dielectric strength.

M ₄ is a scaling factor for adjusting the overall size of the function to fit the actual dielectric strength; m ₅ is a coefficient for adjusting the oil level effect, which determines the sensitivity to the influence of the dielectric strength when the oil level deviates from the ideal value; m ₆ is a coefficient for adjusting the effect of the oil temperature, which determines the sensitivity to the influence of the dielectric strength when the oil temperature deviates from the ideal value.

Further, the method comprises the steps of,Indicating a change in real-time insulation resistance relative to a standard insulation resistance, if R decreases, indicating that insulation performance may be degraded, possibly due to moisture, contamination, or aging, etc. /(I)Meaning that as humidity increases, the insulation performance decreases, as an increase in humidity generally increases conductivity and weakens the electrically insulating material. /(I)Indicating that high temperatures accelerate the aging process of the insulation and reduce its insulation strength. Therefore, an increase in temperature decreases the dielectric strength by an exponential function. The G (L, T _oil) function takes into account the interaction between the oil level and the oil temperature and how they affect the insulation properties, respectively.

Wherein,The gaussian term indicates the effect of the deviation of the oil level from the optimum value, and ideally the oil level should be kept within a specific range to ensure good insulation performance. /(I)The exponential term indicates that deviations from ideal oil temperature affect insulation properties, and that generally higher oil temperatures result in thermal aging and degradation of the oil.

In summary, the second preset formula provides a method for monitoring insulation performance under real-time conditions. Through real-time measurement and calculation, the change of the insulation performance can be rapidly diagnosed, so that necessary maintenance measures are taken. Each parameter in the formula can be used to predict future insulation performance. If certain trends, such as an increase in humidity or an increase in oil temperature, can be monitored, a decrease in insulation performance may be predicted in the future, thereby taking preventive maintenance measures in advance. Analyzing how and how much the various parameters affect the insulation performance helps optimize material selection and structural design during the transformer design phase to improve insulation strength and reduce potential failure risk. At the same time, the formula may be used as a basis for operational decisions, such as when to replace or repair equipment, when to adjust operating parameters to avoid overload, etc. For accurate assessment of insulation properties, which is critical for risk management, the risk of safety accidents due to insulation faults can be reduced by monitoring the insulation properties in real time and accurately.

On the basis of the above embodiment, as an alternative embodiment, the risk value may be calculated according to the operation parameters, and specifically includes the following steps:

And carrying out weighted summation on at least two of the running temperature, the load current, the load voltage, the oil level and the oil temperature to obtain a risk value.

In particular, the operating parameters can directly reflect the operating state of the transformer and the potential risk of failure, which are generally more directly related to risk than the environmental parameters. For quantitative risk assessment, it is necessary to determine risk weighting coefficients for each of the operating parameters, which may be determined by analysis of historical statistics. After the monitoring system obtains the monitoring values of the operation parameters, the monitoring value of each parameter is compared with a corresponding threshold value, and when the monitoring value exceeds the threshold value, the monitoring system scores according to the corresponding weight. And finally, carrying out weighted summation on the risk scores of the parameters to obtain the total risk value of the transformer.

Step 103: and when the risk value exceeds a first threshold value, generating an early warning signal.

The first threshold value is set for realizing risk pre-judging of the running state of the transformer, and when the risk value calculated by the monitoring system is higher than the set threshold value, an early warning is sent to maintenance personnel so as to take corresponding preventive measures to avoid the occurrence of fault shutdown of the transformer.

First, a setting rule of the first threshold needs to be determined. The first threshold cannot be set too high, otherwise, a good early warning effect cannot be achieved; too low a setting is not possible, otherwise the false alarm rate is increased, causing unnecessary misoperation. The first threshold value should be set by comprehensively considering the operating environment, historical data, importance and other factors of the transformer. In general, the first threshold may be set between 60% and 80% of the risk score range.

After the operation parameters and the environment parameters of the transformer are obtained, the monitoring system calculates a risk value in real time and compares the risk value with a set first threshold value. When the calculated risk value exceeds a first threshold, the monitoring system starts an early warning program and sends early warning information to a preset maintainer account through a monitoring system interface, mail, short message and the like. The early warning information needs to indicate alarm time, alarm codes, alarm levels, alarm contents and the like, and prompts maintenance personnel that the risk value exceeds a threshold value and potential hazards exist in the running state of the transformer.

After receiving the early warning, maintenance personnel can check real-time parameters transmitted back by the monitoring system, analyze abnormal conditions of the transformer and judge whether operations such as temporary load reduction, shutdown inspection and maintenance are needed. After proper precautions are taken, more serious faults of the transformer can be avoided, the downtime is shortened, and the reliability of the transformer is improved.

Compared with an emergency state of sudden stop, the early warning can enable maintenance personnel to have sufficient time for preparing materials and schemes, reduce maintenance difficulty and reduce the influence of production and operation. The intelligent level and the actual effect of the transformer monitoring system can be greatly improved by a reasonable early warning threshold setting and early warning response mechanism.

In one possible embodiment, when the risk value exceeds the first threshold value, at least one fault point is determined according to the operating temperature, the load current, the load voltage, the oil level and the oil temperature, and an early warning signal is generated according to each fault point.

Different fault points need to take different treatment measures, and the clear fault points can help maintenance personnel to check and maintain the transformer more pertinently.

Specifically, when the risk value is calculated to exceed the first threshold, the fault diagnosis module is called to analyze each operation parameter in detail, so as to determine the most probable fault point, for example: if the operating temperature exceeds the limit, the fault point may be the local overheat of the transformer; if the load current exceeds the limit, the fault point may be an overload of the electrical appliance; if the oil temperature is too high, the fault point may be poor oil circulation, etc. The monitoring system can determine the fault point according to a preset fault characteristic pattern matching method.

After determining the fault point, the monitoring system may generate corresponding early warning information, where the determined fault point is indicated in the early warning information, for example, "the transformer A1 detects local overheat early warning, and the possible reasons are as follows: insulation aging). After receiving the early warning containing the fault point information, maintenance personnel can prepare processing tools and spare parts corresponding to the fault point in advance, such as an insulation tester, insulation oil and the like, and check the fault part directly, so that the processing time is shortened, and the maintenance efficiency is improved.

Step 104: and stopping the operation of the oil well control cabinet when the risk value exceeds a second threshold value, wherein the second threshold value is larger than the first threshold value.

The purpose of setting the second threshold is to initiate protective shutdown measures of the oil well control cabinet when the risk is further increased, avoiding more serious accident consequences caused by a malfunction of the transformer. The second threshold needs to be higher than the first threshold, and a two-stage early warning mechanism is formed with the first threshold.

First, a second threshold is determined based on the importance of the transformer, the operating environment, and the protection requirements. The second threshold is typically set between 80% and 90% of the risk score range. When the risk value exceeds the second threshold value, the operation risk of the transformer is high, and the transformer has a high probability of failure and has to be stopped for inspection.

When the monitoring system detects that the risk value exceeds a preset second threshold value, a shutdown control signal is automatically output, and meanwhile emergency shutdown alarm information is sent to maintenance personnel. The control signal enables an electric protection device in the oil well control cabinet to be started, power supply to the transformer is cut off, and quick shutdown of the oil well control cabinet is achieved.

At the moment, after the maintenance personnel receive the shutdown alarm, the maintenance personnel can quickly organize the personnel to go to the site, and the transformer is inspected, positioned for faults and maintained. After the risk value is reduced to the safe range, the transformer side can be restarted.

Compared with the first threshold early warning response, the shutdown measure of the second threshold can prevent accidents caused by further development of risks. When the transformer is aged or the parameters are abnormal, the transformer can be stopped in time, so that damage to other equipment, personnel and the environment caused by electrical accidents can be avoided. The two-stage risk threshold value is reasonably set, a risk prevention and control system from early warning to shutdown is realized, and the safety and the economical efficiency of transformer operation and maintenance can be remarkably improved.

Referring to fig. 2, the present application further provides a transformer monitoring device, including:

On the basis of the above embodiment, as an optional embodiment, the risk value calculation module is further configured to calculate a first insulation strength according to the salt spray concentration, the wind speed, and the insulation resistivity; calculating a second insulation strength based on the humidity, the insulation resistivity, the operating temperature, the oil level, and the oil temperature; and determining the sum of the first insulating strength and the second insulating strength as a risk value.

On the basis of the above embodiment, as an optional embodiment, the risk value calculation module is further configured to substitute the salt fog concentration, the wind speed, and the insulation resistivity into a first preset formula to obtain a first insulation strength;

The first preset formula is as follows:

On the basis of the above embodiment, as an optional embodiment, the risk value calculation module is further configured to substitute the humidity, the insulation resistivity, the operating temperature, the oil level, and the oil temperature into a second preset formula to obtain the second insulation strength;

Wherein, the second preset formula is:

Wherein m ₁、m₂ and m ₃ represent adjustment coefficients, I ₂ represents the second dielectric strength, R represents the insulation resistivity, R ₀ represents a standard insulation resistivity under dry conditions, H represents the humidity, T _op represents the operating temperature, T _ref represents a standard operating temperature, G (L, T _oil) represents a function of the oil level and the oil temperature, L represents the oil level, T _oil represents the oil temperature, Representing the negative effect of said humidity on the dielectric strength,/>Indicating a negative impact on the insulation strength when the operating temperature is above the standard operating temperature;

Wherein, Wherein m ₄ and m ₅ represent adjustment coefficients, L _ref represents a standard oil level, T _oil-ref represents a standard oil temperature,/>Representing the influence on the insulation strength when the oil level deviates from the standard oil level by a gaussian function, the farther the oil level deviates from the center value, the greater the influence,Indicating the effect on the dielectric strength of the oil temperature when it deviates from the standard oil temperature.

On the basis of the above embodiment, as an optional embodiment, the risk value calculation module is further configured to perform weighted summation on at least two of the operating temperature, the load current, the load voltage, the oil level, and the oil temperature to obtain the risk value.

On the basis of the above embodiment, as an optional embodiment, the early warning signal generating module is further configured to determine at least one fault point according to the operating temperature, the load current, the load voltage, the oil level, and the oil temperature when the risk value exceeds a first threshold value; and generating an early warning signal according to each fault point.

On the basis of the above embodiment, as an optional embodiment, the transformer monitoring device further includes an emergency stop module, configured to stop the operation of the oil well control cabinet when the risk value exceeds a second threshold, where the second threshold is greater than the first threshold.

It should be noted that: in the device provided in the above embodiment, when implementing the functions thereof, only the division of the above functional modules is used as an example, in practical application, the above functional allocation may be implemented by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules, so as to implement all or part of the functions described above. In addition, the embodiments of the apparatus and the method provided in the foregoing embodiments belong to the same concept, and specific implementation processes of the embodiments of the method are detailed in the method embodiments, which are not repeated herein.

The embodiment of the present application further provides a computer storage medium, where the computer storage medium may store a plurality of instructions, where the instructions are suitable for being loaded by a processor and executed by the processor, where the specific execution process may refer to the specific description of the illustrated embodiment, and details are not repeated herein.

The application also discloses electronic equipment. Referring to fig. 3, fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure. The electronic device 300 may include: at least one processor 301, at least one network interface 304, a user interface 303, a memory 305, at least one communication bus 302.

Wherein the communication bus 302 is used to enable connected communication between these components.

The user interface 303 may include a Display screen (Display) interface and a Camera (Camera) interface, and the optional user interface 303 may further include a standard wired interface and a standard wireless interface.

The network interface 304 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface), among others.

Wherein the processor 301 may include one or more processing cores. The processor 301 utilizes various interfaces and lines to connect various portions of the overall server, perform various functions of the server and process data by executing or executing instructions, programs, code sets, or instruction sets stored in the memory 305, and invoking data stored in the memory 305. Alternatively, the processor 301 may be implemented in at least one hardware form of digital signal Processing (DIGITAL SIGNAL Processing, DSP), field-Programmable gate array (Field-Programmable GATE ARRAY, FPGA), programmable logic array (Programmable Logic Array, PLA). The processor 301 may integrate one or a combination of several of a central processing unit (Central Processing Unit, CPU), an image processor (Graphics Processing Unit, GPU), and a modem, etc. The CPU mainly processes an operating system, a user interface diagram, an application program and the like; the GPU is used for rendering and drawing the content required to be displayed by the display screen; the modem is used to handle wireless communications. It will be appreciated that the modem may not be integrated into the processor 301 and may be implemented by a single chip.

The Memory 305 may include a random access Memory (Random Access Memory, RAM) or a Read-Only Memory (Read-Only Memory). Optionally, the memory 305 includes a non-transitory computer readable medium (non-transitory computer-readable storage medium). Memory 305 may be used to store instructions, programs, code, sets of codes, or sets of instructions. The memory 305 may include a stored program area and a stored data area, wherein the stored program area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing the above-described respective method embodiments, etc.; the storage data area may store data or the like involved in the above respective method embodiments. Memory 305 may also optionally be at least one storage device located remotely from the aforementioned processor 301. Referring to fig. 3, an operating system, a network communication module, a user interface module, and an application program of a transformer monitoring method may be included in the memory 305 as a computer storage medium.

In the electronic device 300 shown in fig. 3, the user interface 303 is mainly used for providing an input interface for a user, and acquiring data input by the user; and processor 301 may be used to invoke an application in memory 305 that stores a transformer monitoring method that, when executed by one or more processors 301, causes electronic device 300 to perform the method as described in one or more of the embodiments above. It should be noted that, for simplicity of description, the foregoing method embodiments are all described as a series of acts, but it should be understood by those skilled in the art that the present application is not limited by the order of acts described, as some steps may be performed in other orders or concurrently in accordance with the present application. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all of the preferred embodiments, and that the acts and modules referred to are not necessarily required for the present application.

In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to related descriptions of other embodiments.

In the several embodiments provided by the present application, it should be understood that the disclosed apparatus may be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative, such as a division of units, merely a division of logic functions, and there may be additional divisions in actual implementation, such as multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some service interface, device or unit indirect coupling or communication connection, electrical or otherwise.

The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.

The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable memory. Based on this understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in whole or in part in the form of a software product stored in a memory, comprising several instructions for causing a computer device (which may be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method of the various embodiments of the present application. And the aforementioned memory includes: various media capable of storing program codes, such as a U disk, a mobile hard disk, a magnetic disk or an optical disk.

The foregoing is merely exemplary embodiments of the present disclosure and is not intended to limit the scope of the present disclosure. That is, equivalent changes and modifications are contemplated by the teachings of this disclosure, which fall within the scope of the present disclosure. Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure.

This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a scope and spirit of the disclosure being indicated by the claims.

Claims

1. A method for monitoring a transformer, characterized in that the method is applied to a controller in an oil well control cabinet, a transformer is arranged in the oil well control cabinet, the controller is connected with the transformer, and the method for monitoring the transformer comprises the following steps:

2. The transformer monitoring method of claim 1, wherein the environmental parameters include salt spray concentration, humidity, and wind speed, the operating parameters include insulation resistivity, operating temperature, oil level, and oil temperature, and the calculating risk values from the operating parameters and the environmental parameters comprises:

3. The transformer monitoring method of claim 2, wherein the calculating a first insulation strength from the salt spray concentration, the wind speed, and the insulation resistivity comprises:

4. The transformer monitoring method of claim 2, wherein the calculating a second insulation strength from the humidity, the insulation resistivity, the operating temperature, the oil level, and the oil temperature comprises:

Wherein, the second preset formula is:

5. The transformer monitoring method of claim 1, wherein the operating parameters include an operating temperature, a load current, a load voltage, an oil level, and an oil temperature, and wherein calculating a risk value based on the operating parameters comprises:

6. The method of claim 5, wherein generating an early warning signal when the risk value exceeds a first threshold value comprises:

and generating an early warning signal according to each fault point.

7. The method of transformer monitoring according to claim 1, further comprising:

8. A transformer monitoring device, characterized in that the transformer monitoring device comprises:

9. An electronic device comprising a processor, a memory, a user interface, and a network interface, the memory for storing instructions, the user interface and the network interface for communicating to other devices, the processor for executing the instructions stored in the memory to cause the electronic device to perform the method of any of claims 1-7.

10. A computer storage medium storing instructions which, when executed, perform the method of any one of claims 1-7.