Magnetic core performance analysis system and method based on intelligent sensor

Abstract

The invention relates to the technical field of performance detection and analysis, in particular to a magnetic core performance analysis system and method based on an intelligent sensor, and the method comprises the steps: analyzing the aging state of an equipment magnetic core of power equipment through the equipment magnetic core operation data and equipment circuit basic data of the power equipment; analyzing the transient damage degree of the equipment magnetic core caused by the power equipment under the special working condition through the circuit data of the equipment under the special working condition and the aging state analysis result of the equipment magnetic core of the power equipment; importing an equipment magnetic core aging state analysis result and an equipment magnetic core transient damage degree analysis result into a constructed magnetic core accumulated loss risk assessment model, and assessing the magnetic core accumulated loss risk of the power equipment; according to a magnetic core accumulated loss risk assessment result of the power equipment, carrying out power equipment magnetic core replacement early warning; therefore, the performance degradation trend of the magnetic core can be identified in advance, equipment shutdown loss caused by faults such as overheating and saturation of the magnetic core is reduced, and the operation efficiency of power equipment is improved.

Description

Technical Field

[0001] This invention relates to the field of performance testing and analysis technology, and in particular to a magnetic core performance analysis system and method based on intelligent sensors. Background Technology

[0002] Magnetic cores are core components in power equipment used for energy conversion and electromagnetic coupling. Degradation of magnetic core performance can lead to a series of problems, including increased heating, inductance parameter drift, and a surge in hysteresis losses. It can even cause transformer short circuits and reactor burnout, directly threatening the safe and stable operation of the power system. Traditional methods for analyzing magnetic core performance often rely on manual inspections or single-parameter monitoring to determine its quality. For example, they might assess core aging based on temperature thresholds or provide fault warnings based on current fluctuations. However, such methods lack a comprehensive quantitative assessment of the multi-factor coupled damage risk of the magnetic core, making it difficult to accurately capture the gradual aging of the magnetic core during long-term operation of power equipment and the cumulative damage caused by transient special operating conditions.

[0003] Meanwhile, existing technologies often assess the aging degree of magnetic cores based on temperature or operating time, ignoring the accelerating effects of special operating conditions of power equipment, such as current surges and voltage fluctuations, on magnetic core damage. They also fail to consider the attenuation of the damage resistance of aged magnetic cores under special operating conditions of power equipment. As a result, the analysis results of the magnetic core damage degree obtained by existing technologies deviate significantly from the actual damage state of the magnetic core. Furthermore, existing technologies lack a comprehensive assessment of the cumulative loss risk of magnetic cores under the influence of magnetic core aging and transient damage. This makes the existing magnetic core loss risk assessment methods rather one-sided and unable to accurately reflect the performance degradation trajectory of the magnetic core throughout its entire life cycle. Consequently, in actual operating conditions, either excessive maintenance and replacement of magnetic cores will increase equipment operation and maintenance costs, or equipment failures will occur due to the lag in risk warnings.

[0004] To address these issues, this application presents a magnetic core performance analysis system and method based on intelligent sensors. Summary of the Invention

[0005] The purpose of this invention is to provide a magnetic core performance analysis system and method based on intelligent sensors. By fusing equipment magnetic core operating data with basic equipment circuit data, the aging state of the magnetic core is quantified. Furthermore, this invention combines equipment-specific operating condition circuit data and magnetic core aging state analysis results to analyze the degree of transient damage to the magnetic core, and assesses the risk of cumulative core loss based on the magnetic core aging state and transient damage degree. This allows for early identification of magnetic core performance degradation trends, reducing equipment downtime losses caused by magnetic core overheating, saturation, and other faults, thereby improving the operational reliability and lifecycle management efficiency of power equipment.

[0006] This invention is implemented as follows:

[0007] In a first aspect, the present invention provides a method for analyzing the performance of magnetic cores based on intelligent sensors, comprising the following steps:

[0008] S1. Acquire the equipment core operation data and special operating condition circuit data of the power equipment through intelligent sensors, and at the same time acquire the basic circuit data of the power equipment.

[0009] S2. Import the equipment core operation data and equipment circuit basic data of the power equipment into the core aging state coupling analysis model to analyze the aging state of the equipment core of the power equipment.

[0010] S3. Import the circuit data of special operating conditions of the equipment and the analysis results of the aging status of the magnetic core of the power equipment into the transient damage degree analysis model of the magnetic core to analyze the degree of transient damage to the magnetic core of the power equipment under special operating conditions.

[0011] S4. Construct a magnetic core cumulative loss risk assessment model, import the analysis results of the equipment magnetic core aging status and the analysis results of the equipment magnetic core transient damage degree into the magnetic core cumulative loss risk assessment model, and assess the risk of magnetic core cumulative loss of power equipment.

[0012] S5. Based on the risk assessment results of the cumulative loss of the magnetic core of the power equipment, issue an early warning for the replacement of the magnetic core of the power equipment.

[0013] In a preferred embodiment of the present invention, step S2 involves analyzing the aging state of the magnetic core of the power equipment, specifically including:

[0014] S21. Extract the equipment core operation data and equipment circuit basic data of the power equipment;

[0015] S22. Construct a coupled analysis model for the aging state of the magnetic core. Import the equipment magnetic core operation data and equipment circuit basic data of the power equipment into the coupled analysis model for the aging state of the magnetic core of the power equipment, analyze the aging state of the equipment magnetic core of the power equipment, and obtain the analysis results of the aging state of the equipment magnetic core of the power equipment.

[0016] In a preferred embodiment of the present invention, the construction process of the magnetic core aging state coupling analysis model in step S22 specifically includes:

[0017] S221. Based on the equipment core operation data and equipment circuit basic data of the power equipment, analyze the degree of thermal aging accumulation of the core and obtain the analysis results of the degree of thermal aging accumulation of the core.

[0018] S222. Based on the equipment core operation data and equipment circuit basic data of the power equipment, analyze the degree of hysteresis loss accumulation of the core and obtain the analysis results of the degree of hysteresis loss accumulation of the core.

[0019] S223. Based on the analysis results of the cumulative thermal aging degree of the magnetic core and the cumulative hysteresis loss degree of the magnetic core obtained from the analysis, the aging state of the magnetic core of the power equipment is analyzed.

[0020] The formula for calculating the aging state of the equipment's magnetic core is:

[0021]

[0022] In the formula, CL represents the aging state of the magnetic core of the power equipment, At represents the analysis result of the cumulative thermal aging of the magnetic core, and Ah represents the analysis result of the cumulative hysteresis loss.

[0023] In a preferred embodiment of the present invention, step S3 involves analyzing the degree of transient damage to the magnetic core of the power equipment caused by special operating conditions, specifically including the following steps:

[0024] S31. Extract the analysis results of the aging status of the magnetic core of the power equipment obtained from the analysis, and at the same time extract the circuit data of the equipment under special operating conditions.

[0025] S32. Construct a transient damage analysis model for the magnetic core. Import the circuit data of the equipment under special operating conditions and the analysis results of the aging state of the magnetic core of the power equipment into the transient damage analysis model for the magnetic core. Analyze the transient damage degree of the magnetic core caused by the power equipment under special operating conditions and obtain the analysis results of the transient damage degree of the magnetic core caused by the power equipment under special operating conditions.

[0026] In a preferred embodiment of the present invention, the process of constructing the transient damage level analysis model of the magnetic core in step S32 includes the following specific steps:

[0027] S321. Based on the circuit data of special operating conditions of the equipment, analyze the degree of starting impact damage to the magnetic core of the equipment during the starting process of the power equipment, and obtain the analysis results of the degree of starting impact damage to the magnetic core of the equipment during the starting process of the power equipment.

[0028] S322. Based on the circuit data of special operating conditions of the equipment and the analysis results of the aging status of the magnetic core of the power equipment, analyze the degree of overload damage to the magnetic core of the equipment during the overload operation of the power equipment, and obtain the analysis results of the degree of overload damage to the magnetic core of the equipment during the overload operation of the power equipment.

[0029] S323. Based on the analysis results of the degree of starting impact damage to the magnetic core of the power equipment during the starting process and the degree of overload damage to the magnetic core of the power equipment during overload operation, analyze the degree of transient damage to the magnetic core of the power equipment under special working conditions.

[0030] The formula for calculating the degree of transient damage to the equipment's magnetic core is as follows:

[0031]

[0032] In the formula, SS represents the degree of transient damage to the magnetic core of the power equipment caused by special operating conditions, Ds represents the analysis result of the degree of starting impact damage to the magnetic core of the power equipment during the starting process, and Do represents the analysis result of the degree of overload damage to the magnetic core of the power equipment during overload operation.

[0033] In a preferred embodiment of the present invention, step S4, which involves constructing a risk assessment model for the cumulative loss of the magnetic core, includes the following specific steps:

[0034] S41. Obtain the analysis results of the aging status of the magnetic core of the power equipment and the degree of transient damage to the magnetic core of the power equipment under special working conditions.

[0035] S42. Based on the analysis results of the aging status of the magnetic core of the power equipment and the degree of transient damage to the magnetic core caused by the power equipment under special operating conditions, assess the risk of cumulative loss of the magnetic core of the power equipment.

[0036] The formula for calculating the risk of cumulative core loss is as follows:

[0037]

[0038] In the formula, Rs represents the risk of cumulative core loss in the power equipment.

[0039] In a preferred embodiment of the present invention, step S5, based on the risk assessment results of the cumulative loss of the magnetic core of the power equipment, provides an early warning for the replacement of the magnetic core of the power equipment, specifically including:

[0040] S51. Obtain the risk assessment results of the cumulative loss of the magnetic core of the power equipment obtained from the assessment;

[0041] S52. Preset a core cumulative loss risk threshold. When the assessed core cumulative loss risk of the power equipment is greater than the core cumulative loss risk threshold, issue a warning to the maintenance personnel to replace the core of the power equipment; when the assessed core cumulative loss risk of the power equipment is less than or equal to the core cumulative loss risk threshold, continue to use the current core.

[0042] Secondly, the present invention provides a magnetic core performance analysis system based on intelligent sensors, comprising:

[0043] The data acquisition module is used to acquire the equipment core operation data and special operating condition circuit data of the power equipment through intelligent sensors, and at the same time acquire the basic circuit data of the power equipment.

[0044] The equipment core aging status analysis module is used to import the equipment core operation data and equipment circuit basic data of power equipment into the core aging status coupling analysis model to analyze the aging status of the equipment core of power equipment.

[0045] The magnetic core transient damage analysis module is used to import the circuit data of special operating conditions of the equipment and the analysis results of the aging status of the magnetic core of the power equipment into the magnetic core transient damage analysis model to analyze the degree of transient damage to the magnetic core of the power equipment caused by special operating conditions.

[0046] The core cumulative loss risk assessment module is used to build a core cumulative loss risk assessment model. It imports the core aging status analysis results and the core transient damage degree analysis results into the core cumulative loss risk assessment model to assess the core cumulative loss risk of power equipment.

[0047] The power equipment magnetic core replacement early warning module is used to provide early warning of power equipment magnetic core replacement based on the risk assessment results of the cumulative loss of the power equipment magnetic core.

[0048] The control module is used to control the operation of the data acquisition module, the equipment core aging status analysis module, the core transient damage degree analysis module, the core cumulative loss risk assessment module, and the power equipment core replacement early warning module.

[0049] Thirdly, the present invention provides an electronic device, comprising: a processor and a memory, wherein the memory stores a computer program that can be called by the processor, and the processor executes a magnetic core performance analysis method based on intelligent sensors by calling the computer program stored in the memory.

[0050] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0051] This invention analyzes the aging state of the magnetic core of power equipment using operational data and basic circuit data. It further analyzes the degree of transient damage to the magnetic core under special operating conditions by combining circuit data from specific operating conditions with the analysis results. The results of these analyses are then imported into a pre-constructed risk assessment model for cumulative core loss to assess the risk of cumulative core loss. Based on this risk assessment, an early warning system for magnetic core replacement is provided. This allows for the early identification of core performance degradation trends, reducing downtime losses due to core overheating, saturation, and other faults, and improving the operating efficiency of power equipment. Attached Figure Description

[0052] Other features, objects, and advantages of the invention will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings:

[0053] Figure 1 This is a schematic diagram of the overall process of the magnetic core performance analysis method based on intelligent sensors of the present invention;

[0054] Figure 2 This is a schematic diagram of the magnetic core performance analysis system based on intelligent sensors according to the present invention;

[0055] Figure 3 This is a flowchart illustrating step S2 of the magnetic core performance analysis method based on intelligent sensors of the present invention.

[0056] Figure 4 This is a flowchart illustrating step S3 of the magnetic core performance analysis method based on intelligent sensors according to the present invention. Detailed Implementation

[0057] The technical solution of the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the embodiments of the present invention and the specific features in the embodiments are detailed descriptions of the technical solution of the present invention, rather than limitations thereof. In the absence of conflict, the embodiments of the present invention and the technical features in the embodiments can be combined with each other.

[0058] Example 1

[0059] like Figure 1 As shown, this embodiment provides a method for analyzing the performance of magnetic cores based on smart sensors, specifically including the following steps:

[0060] S1. Acquire the equipment core operation data and special operating condition circuit data of the power equipment through intelligent sensors, and at the same time acquire the basic circuit data of the power equipment.

[0061] S2. Import the equipment core operation data and equipment circuit basic data of the power equipment into the core aging state coupling analysis model to analyze the aging state of the equipment core of the power equipment.

[0062] S3. Import the circuit data of special operating conditions of the equipment and the analysis results of the aging status of the magnetic core of the power equipment into the transient damage degree analysis model of the magnetic core to analyze the degree of transient damage to the magnetic core of the power equipment under special operating conditions.

[0063] S4. Construct a magnetic core cumulative loss risk assessment model, import the analysis results of the equipment magnetic core aging status and the analysis results of the equipment magnetic core transient damage degree into the magnetic core cumulative loss risk assessment model, and assess the risk of magnetic core cumulative loss of power equipment.

[0064] S5. Based on the risk assessment results of the cumulative loss of the magnetic core of the power equipment, issue an early warning for the replacement of the magnetic core of the power equipment.

[0065] In this embodiment, as Figure 3 As shown, step S2 analyzes the aging status of the magnetic core of the power equipment, specifically including:

[0066] S21. Extract the equipment core operation data and equipment circuit basic data of the power equipment;

[0067] S22. Construct a coupled analysis model for the aging state of the magnetic core. Import the equipment magnetic core operation data and equipment circuit basic data of the power equipment into the coupled analysis model for the aging state of the magnetic core of the power equipment, analyze the aging state of the equipment magnetic core of the power equipment, and obtain the analysis results of the aging state of the equipment magnetic core of the power equipment.

[0068] In this embodiment, the construction process of the magnetic core aging state coupling analysis model in step S22 specifically includes:

[0069] S221. Based on the equipment core operation data and equipment circuit basic data of the power equipment, analyze the degree of thermal aging accumulation of the core and obtain the analysis results of the degree of thermal aging accumulation of the core.

[0070] The formula for calculating the cumulative degree of thermal aging is:

[0071]

[0072] In the formula, At represents the result of the thermal aging accumulation analysis of the magnetic core, and tt represents the cumulative thermal aging of the magnetic core. otalEa is the total operating time of the power equipment in the basic data of the equipment circuit, k is the Boltzmann constant, To is the standard reference temperature value. In this embodiment, the unit of temperature value is Kelvin by default, and the standard reference temperature value To is 293 Kelvin by default; In is the rated current value of the power equipment in the basic data of the equipment circuit, T(t) is the real-time temperature value of the magnetic core in the operating data of the magnetic core, and I(t) is the real-time current value flowing through the magnetic core in the basic data of the equipment circuit.

[0073] For example, the formula for calculating the cumulative degree of thermal aging provided in this embodiment is based on the physical mechanism of magnetic core thermal aging; firstly, tt otal The total operating time of electrical equipment, as a fundamental data point in the equipment circuit, serves to normalize time. The thermal aging of the magnetic core is a long-term cumulative process; differences in operating time among different electrical devices lead to incomparable absolute damage to the magnetic core. Therefore, this embodiment divides the total operating time by tt. otal This allows the degree of thermal aging accumulation to become the aging accumulation rate per unit time, enabling the technical solution provided in this embodiment to be analyzed uniformly across devices and time periods. The activation energy Ea and Boltzmann constant k of the magnetic core material are core parameters of the Arrhenius equation. The activation energy describes the energy barrier required for thermal degradation of the magnetic core material, while the Boltzmann constant quantifies the effect of temperature on the thermal motion of the magnetic core material molecules. This embodiment, based on the Arrhenius equation, combines the activation energy Ea and Boltzmann constant k with the exponential term... By combining the two, the activation energy is divided by the Boltzmann constant, resulting in a division of energy units, ultimately forming a ratio of activation energy to Boltzmann constant in Kelvin. This ratio is then expressed as 1 / Kelvin. Multiplication eliminates the influence of temperature units in the exponent on the calculation result. Furthermore, this embodiment also introduces a standard reference temperature value for comparison with the real-time temperature. When the real-time temperature is greater than the standard reference temperature value, An overall increase in the exponent term indicates that the aging rate of the magnetic core is faster at the real-time temperature than at the reference temperature, fully reflecting the physical law that high temperatures drastically accelerate the thermal aging of the magnetic core; the ratio of the real-time current flowing through the magnetic core to the rated current. This is used to quantify the contribution of electrical equipment current load to the thermal aging of magnetic cores. The higher the current, the higher the temperature rise of the magnetic core caused by Joule heating, thus indirectly enhancing the thermal aging effect of the magnetic core. Furthermore, this embodiment uses an exponential term and... By performing a multiplication operation, the exponential acceleration of temperature is coupled with the linear contribution of current, restoring the synergistic effect of current-generated heat during the thermal aging of the magnetic core, which leads to temperature increases and, in turn, accelerates core aging. Furthermore, since the thermal aging of the magnetic core is an irreversible, gradual process, the temperature and current at a single moment cannot reflect the long-term damage to the magnetic core during equipment operation. Therefore, this embodiment uses a time integral term to accumulate the degree of thermal aging of the magnetic core over the entire time period, thereby compensating for the damage differences caused by prolonged low heat loads and short-term high heat loads.

[0074] S222. Based on the equipment core operation data and equipment circuit basic data of the power equipment, analyze the degree of hysteresis loss accumulation of the core and obtain the analysis results of the degree of hysteresis loss accumulation of the core.

[0075] The formula for calculating the cumulative degree of hysteresis loss is:

[0076]

[0077] In the formula, Ah is the result of the hysteresis loss accumulation analysis, Un is the rated voltage value of the power equipment in the equipment circuit basic data, Bs is the saturation magnetic flux density of the magnetic core in the equipment core operation data, B(t) is the real-time magnetic flux density of the magnetic core in the equipment core operation data, and U(t) is the real-time voltage value of the power equipment in the equipment circuit basic data.

[0078] S223. Based on the analysis results of the cumulative thermal aging degree of the magnetic core and the cumulative hysteresis loss degree of the magnetic core obtained from the analysis, the aging state of the magnetic core of the power equipment is analyzed.

[0079] For example, during hysteresis loss, the magnetic domain structure of the magnetic core undergoes irreversible changes under the influence of an external magnetic field. This change involves not only energy conversion of the magnetic field but also energy conversion of the electric field. When the external magnetic field changes, the magnetic moment direction of the magnetic domains changes, leading to a change in the electric field distribution within the material, thus generating a magnetoelectric coupling effect. During this process, some energy is dissipated as heat, thus forming hysteresis loss in the magnetic core. The formula for calculating the cumulative degree of hysteresis loss provided in this embodiment is based on the above content and quantifies the hysteresis loss under magnetoelectric coupling; specifically, this embodiment uses the ratio of real-time magnetic flux density to saturation magnetic flux density... The degree to which the magnetic core approaches saturation is quantified by... This is used to quantify the effect of the total voltage fluctuation on magnetic flux regulation. According to the law of electromagnetic induction, voltage fluctuations cause a sudden change in the rate of change of magnetic flux, which in turn induces hysteresis loop distortion, ultimately increasing the hysteresis loss of the magnetic core. In this embodiment, addition is used. The effect of the total voltage fluctuation difference on the hysteresis loss of the magnetic core is linearly amplified. Furthermore, since hysteresis loss is continuously generated with electromagnetic alternation, this embodiment accumulates the hysteresis loss over the entire time period through a time integral term, thereby reflecting the performance degradation problem of the magnetic core caused by hysteresis; and by dividing by tt otal It achieves time normalization processing and quantifies the hysteresis loss accumulation rate of the magnetic core per unit time by measuring the degree of hysteresis loss accumulation. This enables precise capture of the dynamic changes in hysteresis loss generated by the magnetic core during the operation of power equipment.

[0080] The formula for calculating the aging state of the equipment's magnetic core is:

[0081]

[0082] In the formula, CL represents the aging state of the magnetic core of the power equipment, At represents the analysis result of the cumulative thermal aging of the magnetic core, and Ah represents the analysis result of the cumulative hysteresis loss.

[0083] For example, in the formula for calculating the aging state of the equipment's magnetic core, the product term At·Ah of thermal aging and hysteresis loss reflects the process by which thermal aging accelerates hysteresis loss, the heat generated by hysteresis loss intensifies thermal aging, and these factors synergistically affect the aging state of the equipment's magnetic core. (The denominator is missing from the original text.) The modulus of both terms can be used to normalize and constrain the product term At·Ah, ensuring that the value of the aging state of the power equipment's magnetic core is within the range of 0-1. Furthermore, this embodiment uses... The aging state of the magnetic core of power equipment was analyzed. Through vector synthesis normalization, the effective coupling of thermal aging and hysteresis loss was achieved, providing a benchmark for the current aging state of the magnetic core for subsequent analysis of transient damage.

[0084] In this embodiment, as Figure 4 As shown, step S3 analyzes the degree of transient damage to the magnetic core of the power equipment caused by special operating conditions, specifically including the following steps:

[0085] S31. Extract the analysis results of the aging status of the magnetic core of the power equipment obtained from the analysis, and at the same time extract the circuit data of the equipment under special operating conditions.

[0086] S32. Construct a transient damage analysis model for the magnetic core. Import the circuit data of the equipment under special operating conditions and the analysis results of the aging state of the magnetic core of the power equipment into the transient damage analysis model for the magnetic core. Analyze the transient damage degree of the magnetic core caused by the power equipment under special operating conditions and obtain the analysis results of the transient damage degree of the magnetic core caused by the power equipment under special operating conditions.

[0087] In this embodiment, the construction process of the transient damage analysis model of the magnetic core in step S32 includes the following specific steps:

[0088] S321. Based on the circuit data of special operating conditions of the equipment, analyze the degree of starting impact damage to the magnetic core of the equipment during the starting process of the power equipment, and obtain the analysis results of the degree of starting impact damage to the magnetic core of the equipment during the starting process of the power equipment.

[0089] The formula for calculating the degree of impact damage is:

[0090]

[0091] In the formula, Ds represents the analysis result of the degree of starting impact damage to the magnetic core of the power equipment during the starting process, ts represents the starting time of the power equipment in the special working condition circuit data, I(t1) represents the current value flowing through the magnetic core at time t1 within the starting time of the power equipment in the special working condition circuit data, and T(t1) represents the temperature value of the magnetic core at time t1 within the starting time of the power equipment in the special working condition circuit data.

[0092] For example, in this embodiment, the startup process is a short-duration transient process. The difference in startup time between different devices will lead to incomparable absolute damage. Therefore, by dividing by ts, the degree of startup impact damage to the magnetic core of the power equipment during startup is made into the impact damage rate per unit time, which is convenient for comparing power equipment with different startup characteristics. When power equipment starts up, the current is usually much higher than the rated value. The large current will cause a rapid change in magnetic flux, generating strong electromagnetic stress, which directly damages the magnetic core structure. Therefore, this embodiment uses the ratio of I(t1) to In to quantify the overload degree of the startup current. Furthermore, the large current not only directly generates electromagnetic stress and damages the magnetic domain structure, but also raises the magnetic core temperature through Joule heating. The high temperature amplifies the damage effect. Therefore, this embodiment uses This embodiment precisely quantifies the synergistic effect of electromagnetic stress generated by high current and core temperature rise on the degree of start-up impact damage. It quantifies the relative proportion of the real-time temperature rise deviating from the reference temperature during startup, which can intuitively reflect the degree of degradation of core performance by the temperature rise, and is expressed through an exponential term. This method reflects the exponential amplification effect of a sudden temperature increase on core damage. When T(t1) > To, the exponent is positive, and the result is greater than 1, meaning that under the same current, the damage to the high-temperature core will be amplified exponentially. Compared to directly superimposing temperature differences using linear functions, which cannot capture the nonlinear law of small temperature changes causing large damage abruptly, this embodiment uses the exponential term... This invention achieves precise quantification of the degree of startup impact damage to the magnetic core of power equipment during startup. Furthermore, in this embodiment, the startup impact is not determined by a single moment's current peak, but rather by a coordinated process of dynamic current and temperature changes. For example, in the initial startup phase, the current rises rapidly, while the core temperature has not yet increased significantly, and the core damage is primarily due to electromagnetic stress. In the middle phase, the current reaches its peak, and the core temperature begins to accumulate, causing the damage to increase sharply under the coupling effect of current and core temperature. In the later phase, the current decreases, but the core temperature remains high, and the core damage continues to amplify due to the high temperature. Therefore, this embodiment accumulates the damage contribution at each moment throughout the entire startup period through a time integral term, avoiding underestimation or overestimation of core damage due to single-moment current and temperature fluctuations.

[0093] S322. Based on the circuit data of special operating conditions of the equipment and the analysis results of the aging status of the magnetic core of the power equipment, analyze the degree of overload damage to the magnetic core of the equipment during the overload operation of the power equipment, and obtain the analysis results of the degree of overload damage to the magnetic core of the equipment during the overload operation of the power equipment.

[0094] The formula for calculating the degree of damage from overload is:

[0095]

[0096] In the formula, Do represents the analysis result of the overload damage caused to the magnetic core of the power equipment during the start-up process, tos and toe represent the start and end times of the overload operation of the power equipment in the special operating condition circuit data, I(t2) represents the current value flowing through the magnetic core at time t2 during the overload operation of the power equipment in the special operating condition circuit data, and U(t2) represents the voltage value of the power equipment at time t2 during the overload operation of the power equipment in the special operating condition circuit data.

[0097] For example, this embodiment introduces the aging state of the magnetic core as an amplification factor for the damage caused by aging. When the microstructure of the material of the aged magnetic core has deteriorated, its overload resistance decreases exponentially with the degree of aging. By introducing the aging state of the magnetic core through multiplication, the positive feedback relationship that the more severe the aging, the more severe the damage under the same overload can be directly reflected. This embodiment defines the time interval of overload damage by using the start and end times of overload operation; toe-tos is used for time normalization. The duration of different overload operation events of power equipment varies greatly. Therefore, this embodiment quantifies the degree of overload damage to the magnetic core of the equipment during the start-up process into the overload damage rate per unit time by dividing by the duration, thus making it feasible to compare the degree of overload damage of power equipment across events and across equipment. Furthermore, this embodiment uses the ratio of instantaneous current to rated current after square operation. This reflects the nonlinear effect of Joule heating; according to the mathematical expression of Joule's law, the contribution of current overload to thermal damage is quadratic. For example, doubling the current will increase heat loss by four times. In this embodiment, the square term... It can accurately capture the pattern of large heat surges caused by small current changes. Furthermore, in this embodiment, through... This achieves proportional control of magnetic loss due to voltage fluctuations: when U(t2) > Un, A value greater than 1 indicates a linear amplification relationship where increased voltage leads to increased magnetic flux density, resulting in an expansion of the hysteresis loop area and consequently a surge in magnetic loss; when U(t2) < Un, A value less than 1 might seem to reduce core damage, but because power equipment often forcibly increases current to maintain output during undervoltage conditions, this embodiment can quantify the process by which undervoltage leads to current compensation and a surge in core heat loss through the square term of the current during overload operation. Therefore, the voltage term here... It focuses more on the direct impact of voltage on magnetic loss, i.e., the effect of magnetic loss, without considering the effect of core heat loss. Furthermore, during the overload operation of power equipment, the current and voltage are not constant, and damage occurs due to the accumulation of heat loss. and magnetic loss accumulation The process involves multiple phases. Therefore, this embodiment accumulates the damage contribution at each time step through a time integral term, thereby reconstructing the true evolution of the damage.

[0098] S323. Based on the analysis results of the degree of starting impact damage to the magnetic core of the power equipment during the starting process and the degree of overload damage to the magnetic core of the power equipment during overload operation, analyze the degree of transient damage to the magnetic core of the power equipment under special working conditions.

[0099] The formula for calculating the degree of transient damage to the equipment's magnetic core is as follows:

[0100]

[0101] In the formula, SS represents the degree of transient damage to the magnetic core of the power equipment caused by special operating conditions, Ds represents the analysis result of the degree of starting impact damage to the magnetic core of the power equipment during the starting process, and Do represents the analysis result of the degree of overload damage to the magnetic core of the power equipment during overload operation.

[0102] For example, in this embodiment, the numerator Ds+Do is a linear superposition of the initiation impact damage and the overload damage, which can reflect the total threat of the magnetic core to the two transient conditions: initiation impact (short-term high stress, which can easily cause instantaneous tearing of the magnetic domain walls) and overload (long-term continuous stress, which can easily lead to thermomagnetic cumulative degradation). Although the damage paths are different, they both act on the magnetic core, so a comprehensive evaluation is required. The denominator max(Ds,Do)+1 is used as a normalization constraint for the dominant damage: when one type of damage is much greater than the other, it highlights the contribution of the dominant damage, and by adding 1, it avoids the denominator being zero, thus reasonably reflecting the initial state without damage. When the dominant damage is already very serious, the contribution of newly added secondary damage to the total damage will be diluted, which conforms to the law that the influence of newly added damage decreases after the damage reaches a certain level. Specifically, from a physical mechanism perspective, starting shock and overload damage are complementary. Starting shock is more likely to cause acute damage to the magnetic core, while overload is more likely to lead to chronic accumulation. The formula provided in this embodiment for calculating the degree of transient damage to the magnetic core of the power equipment under special operating conditions not only retains the independent contributions of the two, but also highlights the influence of the dominant damage, avoiding the overflow of damage degree caused by simple addition.

[0103] In this embodiment, step S4 involves constructing a risk assessment model for the cumulative loss of the magnetic core, which includes the following specific steps:

[0104] S41. Obtain the analysis results of the aging status of the magnetic core of the power equipment and the degree of transient damage to the magnetic core of the power equipment under special working conditions.

[0105] S42. Based on the analysis results of the aging status of the magnetic core of the power equipment and the degree of transient damage to the magnetic core caused by the power equipment under special operating conditions, assess the risk of cumulative loss of the magnetic core of the power equipment.

[0106] The formula for calculating the risk of cumulative core loss is as follows:

[0107]

[0108] In the formula, Rs represents the risk of cumulative core loss in the power equipment.

[0109] For example, the formula for calculating the cumulative loss risk of the magnetic core provided in this embodiment is used to quantify the total loss risk currently faced by the magnetic core under the combined influence of the analysis results of the aging state of the equipment magnetic core and the degree of transient damage to the equipment magnetic core caused by the power equipment under special operating conditions. Using 1+exp(-(CL+SS)) can ensure that the cumulative loss risk of the magnetic core is within the range of 0-1; furthermore, this embodiment uses the exponential function exp(-(CL+SS)) to achieve a nonlinear mapping for small damage leading to low loss risk, while large damage leads to a sharp increase in loss risk: when CL+SS is small, the exponential term is close to 1, and the cumulative loss risk of the magnetic core is at a medium level; when CL+SS increases, the exponential term approaches 0, and the cumulative loss risk of the magnetic core is close to saturation, which means that the magnetic core is on the verge of failure.

[0110] In this embodiment, step S5, based on the risk assessment results of the cumulative loss of the power equipment's magnetic core, provides an early warning for replacing the power equipment's magnetic core, specifically including:

[0111] S51. Obtain the risk assessment results of the cumulative loss of the magnetic core of the power equipment obtained from the assessment;

[0112] S52. A preset core cumulative loss risk threshold is established. When the assessed core cumulative loss risk result of the power equipment is greater than the core cumulative loss risk threshold, a core replacement warning is issued to the maintenance personnel. When the assessed core cumulative loss risk result of the power equipment is less than or equal to the core cumulative loss risk threshold, the current core continues to be used. The parameters (e.g., weights and thresholds) in this embodiment are obtained experimentally by those skilled in the art. Specifically, the experimental method is as follows: Data on the core operation of multiple historical power equipment, data on special operating conditions of the equipment circuits, and basic data on the equipment circuits are obtained. These data are then substituted into the steps of this embodiment to obtain the core cumulative loss risk assessment results of multiple historical power equipment. The judgment results on whether the cores of multiple historical meters need to be replaced are obtained. The core cumulative loss risk assessment results of multiple historical power equipment and the corresponding judgment results on whether the cores of the meters need to be replaced are imported into the fitting software, and the values ​​of the parameters (e.g., weights and thresholds) that meet the highest core cumulative loss risk judgment accuracy are output.

[0113] Example 2

[0114] like Figure 2 As shown, this embodiment provides a magnetic core performance analysis system based on intelligent sensors, including:

[0115] The data acquisition module is used to acquire the equipment core operation data and special operating condition circuit data of the power equipment through intelligent sensors, and at the same time acquire the basic circuit data of the power equipment.

[0116] The equipment core aging status analysis module is used to import the equipment core operation data and equipment circuit basic data of power equipment into the core aging status coupling analysis model to analyze the aging status of the equipment core of power equipment.

[0117] The magnetic core transient damage analysis module is used to import the circuit data of special operating conditions of the equipment and the analysis results of the aging status of the magnetic core of the power equipment into the magnetic core transient damage analysis model to analyze the degree of transient damage to the magnetic core of the power equipment caused by special operating conditions.

[0118] The core cumulative loss risk assessment module is used to build a core cumulative loss risk assessment model. It imports the core aging status analysis results and the core transient damage degree analysis results into the core cumulative loss risk assessment model to assess the core cumulative loss risk of power equipment.

[0119] The power equipment magnetic core replacement early warning module is used to provide early warning of power equipment magnetic core replacement based on the risk assessment results of the cumulative loss of the power equipment magnetic core.

[0120] The control module is used to control the operation of the data acquisition module, the equipment core aging status analysis module, the core transient damage degree analysis module, the core cumulative loss risk assessment module, and the power equipment core replacement early warning module.

[0121] The parameters and steps for implementing the corresponding functions of each unit module in the magnetic core performance analysis system based on intelligent sensors of the present invention described above can be referred to the parameters and steps in the embodiments of the magnetic core performance analysis method based on intelligent sensors mentioned above, and will not be repeated here.

[0122] Example 3

[0123] An electronic device according to an embodiment of the present invention includes a processor and a memory. The memory stores a computer program that can be called by the processor. The processor executes a magnetic core performance analysis method based on intelligent sensors by calling the computer program stored in the memory. It should be noted that all computer programs for the magnetic core performance analysis method based on intelligent sensors are implemented using C language. The data acquisition module, the equipment magnetic core aging state analysis module, the magnetic core transient damage degree analysis module, the magnetic core cumulative loss risk assessment module, the power equipment magnetic core replacement early warning module, and the control module are all controlled by a remote server.

[0124] In the description of this specification, references to terms such as "an embodiment," "example," "specific example," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0125] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to the specific implementations described. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims

1. A method for analyzing the performance of magnetic cores based on intelligent sensors, characterized in that, Includes the following steps: S1. Acquire the equipment core operation data and special operating condition circuit data of the power equipment through intelligent sensors, and at the same time acquire the basic circuit data of the power equipment. S2. Import the equipment core operation data and equipment circuit basic data of the power equipment into the core aging state coupling analysis model to analyze the aging state of the equipment core of the power equipment. S3. Import the circuit data of special operating conditions of the equipment and the analysis results of the aging status of the magnetic core of the power equipment into the transient damage degree analysis model of the magnetic core to analyze the degree of transient damage to the magnetic core of the power equipment under special operating conditions. S4. Construct a magnetic core cumulative loss risk assessment model, import the analysis results of the equipment magnetic core aging status and the analysis results of the equipment magnetic core transient damage degree into the magnetic core cumulative loss risk assessment model, and assess the risk of magnetic core cumulative loss of power equipment. S5. Based on the risk assessment results of the cumulative loss of the magnetic core of the power equipment, issue an early warning for the replacement of the magnetic core of the power equipment.

2. The method for analyzing magnetic core performance based on intelligent sensors according to claim 1, characterized in that, Step S2 involves analyzing the aging status of the magnetic core of the power equipment, specifically including: S21. Extract the equipment core operation data and equipment circuit basic data of the power equipment; S22. Construct a coupled analysis model for the aging state of the magnetic core. Import the equipment magnetic core operation data and equipment circuit basic data of the power equipment into the coupled analysis model for the aging state of the magnetic core of the power equipment, analyze the aging state of the equipment magnetic core of the power equipment, and obtain the analysis results of the aging state of the equipment magnetic core of the power equipment.

3. The method for analyzing magnetic core performance based on intelligent sensors according to claim 2, characterized in that, The construction process of the magnetic core aging state coupling analysis model in step S22 specifically includes: S221. Based on the equipment core operation data and equipment circuit basic data of the power equipment, analyze the degree of thermal aging accumulation of the core and obtain the analysis results of the degree of thermal aging accumulation of the core. S222. Based on the equipment core operation data and equipment circuit basic data of the power equipment, analyze the degree of hysteresis loss accumulation of the core and obtain the analysis results of the degree of hysteresis loss accumulation of the core. S223. Based on the analysis results of the cumulative thermal aging degree of the magnetic core and the cumulative hysteresis loss degree of the magnetic core obtained from the analysis, the aging state of the magnetic core of the power equipment is analyzed. The formula for calculating the aging state of the equipment's magnetic core is: In the formula, CL represents the aging state of the magnetic core of the power equipment, At represents the analysis result of the cumulative thermal aging of the magnetic core, and Ah represents the analysis result of the cumulative hysteresis loss.

4. The method for analyzing magnetic core performance based on intelligent sensors according to claim 3, characterized in that, Step S3 analyzes the degree of transient damage to the magnetic core of the power equipment caused by special operating conditions, specifically including the following steps: S31. Extract the analysis results of the aging status of the magnetic core of the power equipment obtained from the analysis, and at the same time extract the circuit data of the equipment under special operating conditions. S32. Construct a transient damage analysis model for the magnetic core. Import the circuit data of the equipment under special operating conditions and the analysis results of the aging state of the magnetic core of the power equipment into the transient damage analysis model for the magnetic core. Analyze the transient damage degree of the magnetic core caused by the power equipment under special operating conditions and obtain the analysis results of the transient damage degree of the magnetic core caused by the power equipment under special operating conditions.

5. The method for analyzing magnetic core performance based on intelligent sensors according to claim 4, characterized in that, The construction process of the transient damage analysis model of the magnetic core in step S32 includes the following specific steps: S321. Based on the circuit data of special operating conditions of the equipment, analyze the degree of starting impact damage to the magnetic core of the equipment during the starting process of the power equipment, and obtain the analysis results of the degree of starting impact damage to the magnetic core of the equipment during the starting process of the power equipment. S322. Based on the circuit data of special operating conditions of the equipment and the analysis results of the aging status of the magnetic core of the power equipment, analyze the degree of overload damage to the magnetic core of the equipment during the overload operation of the power equipment, and obtain the analysis results of the degree of overload damage to the magnetic core of the equipment during the overload operation of the power equipment. S323. Based on the analysis results of the degree of starting impact damage to the magnetic core of the power equipment during the starting process and the degree of overload damage to the magnetic core of the power equipment during overload operation, analyze the degree of transient damage to the magnetic core of the power equipment under special working conditions. The formula for calculating the degree of transient damage to the equipment's magnetic core is as follows: In the formula, SS represents the degree of transient damage to the magnetic core of the power equipment caused by special operating conditions, Ds represents the analysis result of the degree of starting impact damage to the magnetic core of the power equipment during the starting process, and Do represents the analysis result of the degree of overload damage to the magnetic core of the power equipment during overload operation.

6. The method for analyzing magnetic core performance based on intelligent sensors according to claim 5, characterized in that, The step S4, which involves constructing a risk assessment model for the cumulative loss of the magnetic core, includes the following specific steps: S41. Obtain the analysis results of the aging status of the magnetic core of the power equipment and the degree of transient damage to the magnetic core of the power equipment under special working conditions. S42. Based on the analysis results of the aging status of the magnetic core of the power equipment and the degree of transient damage to the magnetic core caused by the power equipment under special operating conditions, assess the risk of cumulative loss of the magnetic core of the power equipment. The formula for calculating the risk of cumulative core loss is as follows: In the formula, Rs represents the risk of cumulative core loss in the power equipment.

7. The method for analyzing magnetic core performance based on intelligent sensors according to claim 6, characterized in that, Step S5 involves issuing a warning for replacing the magnetic core of the power equipment based on the risk assessment results of the cumulative loss of the magnetic core. Specifically, this includes: S51. Obtain the risk assessment results of the cumulative loss of the magnetic core of the power equipment obtained from the assessment; S52. Preset a core cumulative loss risk threshold. When the assessed core cumulative loss risk of the power equipment is greater than the core cumulative loss risk threshold, issue a warning to the maintenance personnel to replace the core of the power equipment; when the assessed core cumulative loss risk of the power equipment is less than or equal to the core cumulative loss risk threshold, continue to use the current core.

8. A magnetic core performance analysis system based on intelligent sensors, used to implement the magnetic core performance analysis method based on intelligent sensors according to any one of claims 1-7, characterized in that, The system includes: The data acquisition module is used to acquire the equipment core operation data and special operating condition circuit data of the power equipment through intelligent sensors, and at the same time acquire the basic circuit data of the power equipment. The equipment core aging status analysis module is used to import the equipment core operation data and equipment circuit basic data of power equipment into the core aging status coupling analysis model to analyze the aging status of the equipment core of power equipment. The magnetic core transient damage analysis module is used to import the circuit data of special operating conditions of the equipment and the analysis results of the aging status of the magnetic core of the power equipment into the magnetic core transient damage analysis model to analyze the degree of transient damage to the magnetic core of the power equipment caused by special operating conditions. The core cumulative loss risk assessment module is used to build a core cumulative loss risk assessment model. It imports the core aging status analysis results and the core transient damage degree analysis results into the core cumulative loss risk assessment model to assess the core cumulative loss risk of power equipment. The power equipment magnetic core replacement early warning module is used to provide early warning of power equipment magnetic core replacement based on the risk assessment results of the cumulative loss of the power equipment magnetic core. The control module is used to control the operation of the data acquisition module, the equipment core aging status analysis module, the core transient damage degree analysis module, the core cumulative loss risk assessment module, and the power equipment core replacement early warning module.

9. An electronic device, comprising: A processor and a memory, wherein the memory stores a computer program that can be called by the processor; characterized in that the processor executes the magnetic core performance analysis method based on smart sensors as described in any one of claims 1-7 by calling the computer program stored in the memory.

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