CN-121980540-A - Multi-factor-affected static contact ablation loss and degradation evaluation method

CN121980540ACN 121980540 ACN121980540 ACN 121980540ACN-121980540-A

Abstract

The application provides a static contact ablation loss and degradation assessment method with multi-factor influence, which comprises the steps of obtaining environmental condition parameters according to arc energy transfer distribution, integrating the parameters into a simulation process, determining the initial rate of material loss, analyzing the influence of arcing time on energy transfer through a neural network model if the initial rate of material loss exceeds a preset threshold, judging the evaporation sputtering proportion, carrying out data fusion on a material melting mechanism by adopting the evaporation sputtering proportion to obtain an ablation depth quantification value, obtaining a nonlinear characteristic adjustment coefficient under the multi-factor influence through the ablation depth quantification value, determining the contact fault risk level, optimizing environmental condition variables through finite element simulation according to the contact fault risk level, obtaining a material loss accumulation curve, and predicting the residual arcing time bearing capacity through a neural network if the material loss accumulation curve shows an acceleration trend, and judging the service life end point.

Inventors

ZHANG YAN
ZHANG GUOSHUN
LIU CHUANDE
HAN YULING
LU CHUAN

Assignees

河南科丰高压电气有限公司

Dates

Publication Date: 20260505
Application Date: 20260129

Claims (8)

1. A method for evaluating ablation loss and degradation of a stationary contact under the influence of multiple factors, the method comprising: the method comprises the steps of acquiring current amplitude and arcing time data, and adopting a finite element simulation method to process nonlinear characteristics under the influence of multiple factors so as to obtain arc energy transfer distribution; acquiring environmental condition parameters according to arc energy transfer distribution, integrating the environmental condition parameters into a simulation process, and determining the initial rate of material loss; If the initial material loss rate exceeds a preset threshold, analyzing the influence of the arcing time on energy transfer through a neural network model, and judging the evaporation splashing proportion; Adopting the evaporation and splashing proportion, and carrying out data fusion aiming at a material melting mechanism to obtain an ablation depth quantized value; acquiring a nonlinear characteristic adjustment coefficient under the influence of multiple factors through the ablation depth quantification value, and determining a contact fault risk level; according to the contact fault risk level, adopting finite element simulation iteration to optimize environmental condition variables to obtain a material loss accumulation curve; if the material loss accumulation curve shows an acceleration trend, the residual arcing time bearing capacity is predicted through the neural network, and the service life end is judged.
2. The method for evaluating the ablation loss and the degradation of the stationary contact under the influence of multiple factors according to claim 1, wherein the step of acquiring the current amplitude and the arcing time data and adopting a finite element simulation method to process nonlinear characteristics under the influence of multiple factors to obtain the arc energy transfer distribution comprises the following steps: Collecting current amplitude and arcing time data; establishing a finite element model according to the acquired current amplitude and arcing time data; solving the established finite element model by adopting a finite element simulation method to obtain nonlinear characteristics under the action of multiple factors; the nonlinear characteristics under the multi-factor effect are processed by a finite element simulation method, and an arc energy transmission process is calculated; Acquiring arc energy transfer process data; determining an energy transfer distribution from the arc energy transfer process data; and extracting an energy transfer distribution result of which the current amplitude corresponds to the arcing time from the energy transfer distribution.
3. The method for evaluating the ablation loss and degradation of a stationary contact under the influence of multiple factors according to claim 1, wherein the step of obtaining the environmental condition parameters based on the arc energy transfer distribution, incorporating the environmental condition parameters into the simulation process, and determining the initial rate of the material loss comprises the steps of: constructing a preliminary simulation framework under environmental conditions by combining arc energy data with transmission distribution information to obtain a distribution state of energy influence; according to the distribution state of energy influence, environmental condition parameters are blended, dynamic adjustment is carried out on the simulation flow, and the energy acting range under the condition change is determined; aiming at the energy action range under the condition change, a pre-established simulation flow is adopted to analyze the response condition of the material loss and deduce a loss evaluation result; Acquiring key influencing factors of material loss from a loss evaluation result, and judging a formation mechanism of an initial rate by combining a data analysis means; If the forming mechanism of the initial rate and the distribution state of the energy influence have deviation, recalculating the intermediate value of the loss evaluation through the data correction of the condition change to obtain an adjusted rate deduction result; according to the adjusted speed deduction result, analyzing the long-term trend of the material loss by combining with the environmental condition parameters in the simulation flow, and determining a final initial speed value; And (3) through the final initial rate value, correlating the energy influence and the condition change data, constructing a complete record of loss evaluation, and deducing a comprehensive analysis conclusion.
4. The method for evaluating ablation loss and degradation of a stationary contact under the influence of multiple factors according to claim 1, wherein if the initial rate of material loss exceeds a preset threshold, analyzing the influence of arcing time on energy transfer by a neural network model, and determining the evaporation splashing ratio comprises: Acquiring an arc burning time sequence and corresponding energy transfer proportion data; According to the arcing time sequence, calculating the energy distribution proportion of each time period to obtain an energy distribution state sequence; Aiming at the energy distribution state sequence, acquiring current environmental medium parameters, and determining a correction coefficient of medium to energy attenuation; adjusting the energy distribution state sequence by adopting a correction coefficient to obtain an action intensity sequence under the constraint condition; Processing an action intensity sequence through a preconfigured loss response model, and analyzing a material surface degradation rule to obtain a primary loss rate value; separating the contribution of the evaporation mechanism and the contribution of the splashing mechanism from the primary loss rate value, and calculating the contribution duty ratio of the two mechanisms; If the contribution duty ratio shows that the duty ratio of the sputtering mechanism exceeds a preset threshold, inputting the arcing time sequence and the energy transfer proportion data through a neural network model, and outputting the adjusted evaporation sputtering proportion; And carrying out weighted correction on the primary loss rate value according to the adjusted evaporation and splashing ratio and the environmental medium parameter to obtain a final initial loss rate value.
5. The method for evaluating ablation loss and degradation of a stationary contact under the influence of multiple factors according to claim 1, wherein the step of performing data fusion on a material melting mechanism by using the evaporation sputtering ratio to obtain an ablation depth quantized value comprises the following steps: Acquiring a sequence of thickness of a melting layer and a sequence of evaporation and sputtering proportion in the arc action process; calculating the volume change rate of the molten pool in each time period according to the sequence of the thickness of the molten pool layer to obtain a dynamic state sequence of the molten pool; acquiring current electric arc power density distribution aiming at a molten pool dynamic state sequence, and determining an amplification factor of power density to the volume of the molten pool; Correcting the dynamic state sequence of the molten pool by adopting an amplification factor to obtain a corrected melting volume sequence; Processing the corrected melting volume sequence through a depth accumulation model, and analyzing a material layer-by-layer removal rule to obtain a primary ablation depth value; separating the melting removal contribution and the evaporation removal contribution from the primary ablation depth value, and calculating the duty ratio of the two removal modes; if the evaporation removal duty ratio exceeds a preset threshold, inputting a melting layer thickness sequence and an evaporation splashing proportion sequence through a neural network model, and outputting a corrected removal proportion; and according to the corrected removal proportion and the arc power density distribution, carrying out weighted update on the primary ablation depth value to obtain a final ablation depth quantized value.
6. The method for evaluating the ablation loss and degradation of the stationary contact under the influence of multiple factors according to claim 1, wherein the step of obtaining the nonlinear characteristic adjustment coefficient under the influence of multiple factors by using the ablation depth quantification value to determine the contact fault risk level comprises the following steps: acquiring a material surface temperature sequence and a material removal rate sequence in the arc action process; calculating the heat input accumulation amount of each time period according to the temperature sequence to obtain a heat accumulation sequence; Acquiring a material thermophysical parameter aiming at the heat accumulation sequence, and determining a correction factor of the thermophysical parameter on the removal rate; Adjusting the material removal rate sequence by adopting a correction factor to obtain an adjusted removal rate sequence; Processing the adjusted removal rate sequence through a layer-by-layer cumulative calculation model to obtain a preliminary removal depth value; Separating the hot-melting removing part and the vaporization removing part from the primary removing depth value to obtain the duty ratio of the vaporization removing part; If the ratio of the vaporization removing part exceeds the preset ratio, a temperature sequence and a removing rate sequence are input through a support vector regression model, and an adjusted removing contribution ratio is obtained; According to the adjusted removal contribution proportion and the arc heat flux density distribution, carrying out proportion weighted correction on the primary removal depth value to obtain a final ablation depth quantized value; And calculating a nonlinear correction coefficient under multi-factor coupling according to the final ablation depth quantized value to obtain a contact fault risk level.
7. The method for evaluating the ablation loss and degradation of the stationary contact under the influence of multiple factors according to claim 1, wherein the step of optimizing the environmental condition variables by finite element simulation iteration according to the contact fault risk level to obtain a material loss accumulation curve comprises the following steps: acquiring a contact fault risk level and a material loss rate sequence; Calculating the loss accumulation amount of each time period according to the material loss rate sequence to obtain a loss accumulation sequence; Extracting an environmental condition sequence at a corresponding moment from the loss accumulation sequence to obtain an environmental condition sequence; adopting finite element simulation to input a loss accumulation sequence and an environmental condition sequence, and calculating material loss distribution under the current condition to obtain a preliminary loss distribution result; Judging whether the maximum loss position in the preliminary loss distribution result exceeds a preset threshold value, if so, extracting the current key control variable and adjusting the value range of the current key control variable to obtain an adjusted key control variable; updating the environmental condition sequence through the adjusted key control variable to obtain an updated environmental condition sequence; And (3) inputting the updated environmental condition sequence and the loss accumulation sequence again by adopting finite element simulation, and recalculating the material loss distribution to obtain an optimized material loss accumulation curve.
8. The method for evaluating the erosion loss and degradation of a stationary contact under the influence of multiple factors according to claim 1, wherein if the material loss accumulation curve shows an acceleration trend, predicting the remaining arcing time bearing capacity through a neural network, and determining the lifetime end comprises: Acquiring a material loss rate sequence and an arcing time sequence; Calculating accumulated values according to the material loss rate sequence segments to obtain a material loss accumulated sequence; Correspondingly extracting an arcing time sequence from the material loss accumulation sequence to obtain an arcing time sequence; inputting a material loss accumulation sequence and an arcing time sequence by using a neural network to obtain a predicted residual arcing time value; Judging that the predicted residual arcing time value is lower than the service life threshold value, and extracting the position of the increase rate in the material loss accumulation sequence to obtain an acceleration section position sequence; Positioning a corresponding part in the material loss accumulation sequence through the acceleration segment position sequence to obtain an updated material loss accumulation sequence; And (3) inputting the updated material loss accumulation sequence and the arcing time sequence by using a neural network to obtain the optimized life end time.

Description

Multi-factor-affected static contact ablation loss and degradation evaluation method Technical Field The invention relates to the technical field of information, in particular to a static contact ablation loss and degradation evaluation method influenced by multiple factors. Background The high-voltage switching device plays an important role in the control, protection and isolation of circuits in the power system, and the operational reliability of the high-voltage switching device directly affects the safety and stability of the whole power grid. The static contact is used as a core component for conducting and switching, and is subjected to strong ablation of an electric arc when a large current is frequently switched on and off, so that the surface material of the contact is continuously lost, and even poor contact or switch failure is caused when the contact is serious, so that the problem of ablation of the static contact is always a key bottleneck for limiting the service life and safe operation of equipment. The current research and evaluation of static contact ablation is mostly based on actual breaking test or empirical formula. Although the methods can obtain partial real data, it is difficult to comprehensively reflect ablation rules under the combined action of various factors such as different current amplitude values, arcing time, contact material characteristics, surrounding medium environments and the like. Because the arc ablation process occurs in a very short time, the temperature is very high and the change is severe, the conventional evaluation mode is difficult to accurately capture the key links of how the arc energy is distributed to the surface of the contact, how much energy actually causes melting and evaporation of the material and the specific rate of material loss under different conditions, so that a predicted result and an actual working condition often have larger deviation. The complexity of arc ablation is mainly characterized by two closely related core technical difficulties, namely that the arc voltage and energy transfer show highly nonlinear characteristics in different current stages, the energy input and the material removal are not in simple proportional relation, and the contact surface is subjected to multiple material loss modes such as melting, evaporation, splashing and the like under the action of high-temperature arc, and the proportion of the modes is rapidly changed along with the current magnitude and the arcing duration. For example, when the short-circuit current is switched on and off, arc energy is concentrated in the first few milliseconds, severe splashing loss can occur locally at the contact, the energy is reduced near the zero crossing of the current, the material is mainly lost in a slow evaporation mode, the two mechanisms alternately act to ensure that the ablation morphology is extremely uneven, the local depth difference can be several times, and the abnormal increase of the contact resistance and the subsequent reduction of the switching capacity are directly caused. How to accurately establish quantitative relations among the ablation depth, the quality loss and the contact performance degradation of the static contact under the common influence of multiple parameters such as current amplitude, arcing time, material properties, environmental conditions and the like, thereby realizing reliable prediction of the service life of the contact, and becoming a key problem to be solved in the design and operation and maintenance of the current high-voltage switch equipment. Disclosure of Invention The invention provides a method for evaluating ablation loss and degradation of a static contact under the influence of multiple factors, which mainly comprises the following steps: the method comprises the steps of acquiring current amplitude and arcing time data, and adopting a finite element simulation method to process nonlinear characteristics under the influence of multiple factors so as to obtain arc energy transfer distribution; acquiring environmental condition parameters according to arc energy transfer distribution, integrating the environmental condition parameters into a simulation process, and determining the initial rate of material loss; If the initial material loss rate exceeds a preset threshold, analyzing the influence of the arcing time on energy transfer through a neural network model, and judging the evaporation splashing proportion; Adopting the evaporation and splashing proportion, and carrying out data fusion aiming at a material melting mechanism to obtain an ablation depth quantized value; acquiring a nonlinear characteristic adjustment coefficient under the influence of multiple factors through the ablation depth quantification value, and determining a contact fault risk level; according to the contact fault risk level, adopting finite element simulation iteration to optimize environmental condition variables to obtain a mate