A multi-modal energy-aware power equipment corrosion state evaluation method and system

Abstract

The application discloses a kind of multi-modal energy-aware power equipment corrosion state evaluation method and system, it includes: the electrochemical corrosion degree of power equipment is evaluated based on electrochemical energy monitoring data, corrosion degree evaluation value is determined;The structural state of power equipment is evaluated based on strain energy monitoring data, and structural state evaluation value is determined;Corrosion type is determined based on electrochemical energy monitoring data, and initial corrosion state value of power equipment is determined based on it, corrosion degree evaluation value and structural state evaluation value;The environmental energy input data of the environment where power equipment is located is obtained, and corrosion influence coefficient is determined based on it;Corrosion state value of power equipment is determined based on corrosion influence coefficient and initial corrosion state value, and corrosion state grade of power equipment is determined based on it.The application realizes the multi-dimensional accurate evaluation of corrosion process from microcosmic reaction to macroscopic structural response by fusing electrochemical, strain and environmental energy input data.

Description

Technical Field

[0001] This invention relates to the field of power technology, and in particular to a multimodal energy sensing method and system for assessing the corrosion status of power equipment. Background Technology

[0002] As power systems develop towards higher voltage, larger capacity, and smarter operation, the safe and stable operation of power equipment has become crucial to ensuring the reliability of the power grid. Corrosion, as one of the main causes of aging and failure of power equipment, has long threatened the structural integrity and electrical performance of transmission and transformation equipment.

[0003] Traditional corrosion assessment methods mainly rely on regular manual inspections, offline sampling and analysis, and single-parameter monitoring. These methods suffer from poor timeliness, low sensitivity, and limited coverage, making it difficult to achieve early warning and accurate assessment of the corrosion process. Moreover, relying on a single monitoring method makes it difficult to fully reflect the coupled process of electrochemical corrosion, environmental effects, and structural response, and it is impossible to achieve full-process tracking from corrosion driving force to structural damage. Summary of the Invention

[0004] To address the aforementioned technical problems, this invention provides a multimodal energy sensing method and system for assessing the corrosion status of power equipment, comprising:

[0005] Acquire electrochemical energy monitoring data of power equipment, and assess the degree of electrochemical corrosion of power equipment based on the electrochemical energy monitoring data to determine the corrosion degree assessment value;

[0006] Acquire strain energy monitoring data of power equipment, and evaluate the structural status of power equipment based on strain energy monitoring data to determine the structural status evaluation value;

[0007] The corrosion type is determined based on electrochemical energy monitoring data, and the initial corrosion state value of the power equipment is determined by comprehensively considering the corrosion type, corrosion degree assessment value, and structural state assessment value.

[0008] Obtain environmental energy input data of the environment where the power equipment is located, and determine the corrosion impact coefficient of the environment on the power equipment based on the environmental energy input data;

[0009] The corrosion state value of the power equipment is determined based on the corrosion influence coefficient and the initial corrosion state value, and the corrosion state level of the power equipment is determined based on the corrosion state value.

[0010] Furthermore, the acquisition of electrochemical energy monitoring data of the power equipment, and the assessment of the degree of electrochemical corrosion of the power equipment based on the electrochemical energy monitoring data, to determine the corrosion degree assessment value, includes:

[0011] Acquire electrochemical energy monitoring data of power equipment, and determine preset electrochemical indicators from the electrochemical energy monitoring data. The preset electrochemical indicators include noise resistance value, pitting index value and transient peak quantity value.

[0012] The benchmark values ​​corresponding to each preset electrochemical index are determined, the difference between each preset electrochemical index and the corresponding benchmark value is calculated, and the calculated difference is evaluated to obtain the index evaluation value of each preset electrochemical index.

[0013] The preset electrochemical indicators are normalized to obtain their weights. The evaluation values ​​of each preset electrochemical indicator are then weighted and summed with their corresponding weights to obtain the corrosion degree evaluation value.

[0014] Furthermore, the acquisition of strain energy monitoring data of the power equipment, and the assessment of the structural state of the power equipment based on the strain energy monitoring data to determine the structural state assessment value, includes:

[0015] Acquire strain energy monitoring data of power equipment and determine preset strain indicators from the strain energy monitoring data. The preset strain indicators include average strain value, strain fluctuation amplitude and strain change rate value.

[0016] The benchmark values ​​corresponding to each preset strain index are determined, the difference between each preset strain index and the corresponding benchmark value is calculated, and the calculated difference values ​​are evaluated to obtain the index evaluation values ​​of each preset strain index.

[0017] The preset strain indices are normalized to obtain their weights. The weighted sum of the index evaluation values ​​of each preset strain index and their corresponding weights is then calculated to obtain the structural state evaluation value.

[0018] Furthermore, the process of determining the corrosion type based on electrochemical energy monitoring data, and comprehensively determining the initial corrosion state value of the power equipment based on the corrosion type, corrosion degree assessment value, and structural state assessment value, includes:

[0019] Electrochemical features are extracted from electrochemical energy monitoring data and input into a preset corrosion type identification model for identification and output to obtain the corrosion type of the power equipment.

[0020] Based on the corrosion type of the power equipment, the corrosion type coefficient corresponding to the corrosion type of the power equipment is determined from the preset corrosion type-corrosion type coefficient mapping table. The initial corrosion state value of the power equipment is obtained by calculation based on the corrosion type coefficient, corrosion degree assessment value and structural state assessment value.

[0021] Furthermore, the formula for calculating the initial corrosion state value of the power equipment is as follows:

[0022] Z = k*(α*E+β*G),

[0023] Where Z is the initial corrosion state value of the power equipment, k is the corrosion type coefficient, α is the first preset weight, E is the corrosion degree assessment value, β is the second preset weight, and G is the structural state assessment value.

[0024] Furthermore, the step of acquiring environmental energy input data of the environment where the power equipment is located, and determining the corrosion impact coefficient of the environment on the power equipment based on the environmental energy input data, includes:

[0025] Acquire environmental energy input data of the environment where the power equipment is located, and extract temperature data, humidity data and salt spray concentration data from the environmental energy input data;

[0026] Based on temperature data, humidity data, and salt spray concentration data, the temperature sub-index, humidity sub-index, and salt spray sub-index are calculated respectively.

[0027] The average values ​​of temperature data, humidity data, and salt spray concentration data are calculated separately, and the average values ​​are normalized to obtain the weights corresponding to the temperature sub-index, humidity sub-index, and salt spray sub-index.

[0028] The environmental corrosion index is obtained by weighting and summing the temperature index, humidity index, and salt spray index with their corresponding weights.

[0029] Determine the preset conversion coefficient, and multiply the environmental corrosion index by the preset conversion coefficient to obtain the corrosion influence coefficient.

[0030] Furthermore, the formula for calculating the temperature index is as follows:

[0031]

[0032] Where KT is the temperature index and T is the average temperature value of the temperature data;

[0033] The formula for calculating the humidity index is:

[0034]

[0035] Where H is the humidity index and KH is the average relative humidity value of the humidity data;

[0036] The formula for calculating the salt spray index is as follows:

[0037]

[0038] Where S is the salt spray index and KS is the average salt spray deposition rate value of the salt spray concentration data.

[0039] Furthermore, determining the corrosion state value of the power equipment based on the corrosion influence coefficient and the initial corrosion state value includes:

[0040] The corrosion influence coefficient is multiplied by the initial corrosion state value to obtain the corrosion state value of the power equipment.

[0041] Furthermore, determining the corrosion status level of power equipment based on corrosion status values ​​includes:

[0042] A preset corrosion state level-correlation state value range correspondence is set in advance. For each corrosion state value range, the preset corrosion state level is associated with a corresponding preset corrosion state level.

[0043] The corrosion state value of the power equipment is determined, and based on the mapping relationship between the corrosion state value interval to which the corrosion state value belongs and the preset corrosion state level-correspondence relationship, the preset corrosion state level corresponding to the corrosion state value interval is selected as the corrosion state level of the power equipment.

[0044] This invention also provides a multimodal energy sensing system for assessing the corrosion status of power equipment, comprising:

[0045] The first acquisition module is used to acquire electrochemical energy monitoring data of power equipment, and to assess the degree of electrochemical corrosion of power equipment based on the electrochemical energy monitoring data, and to determine the corrosion degree assessment value.

[0046] The second acquisition module is used to acquire strain energy monitoring data of power equipment, and to evaluate the structural state of power equipment based on the strain energy monitoring data to determine the structural state evaluation value.

[0047] The calculation module is used to determine the corrosion type based on electrochemical energy monitoring data, and to comprehensively determine the initial corrosion state value of the power equipment based on the corrosion type, corrosion degree assessment value and structural state assessment value.

[0048] The third acquisition module is used to acquire the environmental energy input data of the environment where the power equipment is located, and to determine the corrosion impact coefficient of the environment on the power equipment based on the environmental energy input data;

[0049] The determination module is used to determine the corrosion state value of power equipment based on the corrosion influence coefficient and the initial corrosion state value, and to determine the corrosion state level of power equipment based on the corrosion state value.

[0050] Compared with existing technologies, the multimodal energy sensing method and system for assessing the corrosion status of power equipment according to embodiments of the present invention have the following advantages:

[0051] This invention overcomes the limitations of traditional single-parameter monitoring by integrating an electrochemical noise sensor, a fiber optic strain gauge, and a temperature / humidity-salt spray composite probe to form a closed-loop sensing system encompassing "corrosion driving force, corrosion reaction, and structural damage." Based on a comprehensive assessment of corrosion type, corrosion degree, and structural condition, combined with the environmental corrosion influence coefficient, it enables scientific decision-making from qualitative judgment to quantitative grading. This allows for early diagnosis and accurate assessment of corrosion status, elevating corrosion detection from post-discovery to pre-discovery warning, improving the reliability and accuracy of assessment results. Multimodal data cross-validation avoids false alarms and missed alarms, forming a quantifiable corrosion status index system. This provides data support for predictive maintenance and lifespan management, effectively reducing equipment failure risks, extending equipment lifespan, and improving the reliability and economy of power grid operation. Attached Figure Description

[0052] Figure 1 This is a schematic diagram of the process structure of the multimodal energy sensing method for assessing the corrosion status of power equipment in an embodiment of the present invention;

[0053] Figure 2 This is a schematic diagram of the composition of the multimodal energy sensing power equipment corrosion status assessment system in an embodiment of the present invention. Detailed Implementation

[0054] The specific embodiments of this application will be described in further detail below with reference to the accompanying drawings and examples. The following examples are for illustrative purposes only and are not intended to limit the scope of the invention.

[0055] In the description of this application, it should be understood that the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the platform or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this application.

[0056] The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this application, unless otherwise stated, "a plurality of" means two or more.

[0057] like Figure 1As shown in the embodiments of this application, a multimodal energy sensing method for assessing the corrosion status of power equipment is provided, comprising: S100: acquiring electrochemical energy monitoring data of the power equipment, and assessing the degree of electrochemical corrosion of the power equipment based on the electrochemical energy monitoring data to determine a corrosion degree assessment value; S200: acquiring strain energy monitoring data of the power equipment, and assessing the structural status of the power equipment based on the strain energy monitoring data to determine a structural status assessment value; S300: determining the corrosion type based on the electrochemical energy monitoring data, and comprehensively determining the initial corrosion status value of the power equipment based on the corrosion type, corrosion degree assessment value, and structural status assessment value; S400: acquiring environmental energy input data of the environment in which the power equipment is located, and determining the environmental corrosion influence coefficient of the power equipment based on the environmental energy input data; S500: determining the corrosion status value of the power equipment based on the corrosion influence coefficient and the initial corrosion status value, and determining the corrosion status level of the power equipment based on the corrosion status value.

[0058] Furthermore, this invention overcomes the limitations of traditional single-parameter monitoring by integrating an electrochemical noise sensor, a fiber optic strain gauge, and a temperature / humidity-salt spray composite probe to form a closed-loop sensing system encompassing "corrosion driving force - corrosion reaction - structural damage." Based on a comprehensive assessment of corrosion type, corrosion degree, and structural state, combined with the environmental corrosion influence coefficient, it achieves scientific decision-making from qualitative judgment to quantitative classification, enabling early diagnosis and accurate assessment of corrosion status. This elevates corrosion detection from post-discovery to pre-discovery warning, improving the reliability and accuracy of assessment results. Multimodal data cross-validation avoids false alarms and missed alarms, forming a quantifiable corrosion status index system. This provides data support for predictive maintenance and lifespan management, effectively reducing equipment failure risks, extending equipment lifespan, and improving the reliability and economy of power grid operation.

[0059] In the embodiments of this application, a multimodal energy sensing method for assessing the corrosion status of power equipment is provided. The method involves acquiring electrochemical energy monitoring data of the power equipment and assessing the degree of electrochemical corrosion based on this data to determine a corrosion degree assessment value. This includes: acquiring the electrochemical energy monitoring data of the power equipment and determining preset electrochemical indicators from the data, including noise resistance, pitting corrosion index, and transient peak quantity; determining a benchmark value corresponding to each preset electrochemical indicator; calculating the difference between each preset electrochemical indicator and its corresponding benchmark value; evaluating the calculated differences to obtain an indicator assessment value for each preset electrochemical indicator; normalizing each preset electrochemical indicator to obtain its weight; and weighting and summing the indicator assessment values ​​of each preset electrochemical indicator with its corresponding weight to obtain a corrosion degree assessment value.

[0060] Specifically, three key characteristic parameters are extracted from the real-time acquired electrochemical noise signal: noise resistance (reflecting the overall corrosion rate), pitting index (characterizing local corrosion tendency), and transient peak quantity (indicating the frequency of pitting events). By setting benchmark values ​​for each index under healthy conditions or standard environments, the deviation between the actual measured value and the benchmark value is calculated, and this deviation is standardized and mapped to an index evaluation value within the range of 0-1, intuitively reflecting the corrosion activity of each dimension. The three indicators are normalized and weighted, and differentiated weights are assigned according to their contribution to the overall corrosion risk. The evaluation values ​​of the three dimensions are combined into a single corrosion degree evaluation value through a weighted fusion model. This value quantitatively represents the overall electrochemical corrosion level of the equipment. This step represents a leap from single qualitative judgment to multidimensional quantitative analysis in corrosion assessment. By fusing multiple features, it overcomes the limitations of single-parameter assessment. A dynamically adjustable benchmark-deviation assessment system has been established, which can adapt to different materials, environments, and operating conditions. The weight normalization mechanism scientifically balances the risk contributions of uniform corrosion and localized corrosion, making the assessment results more consistent with engineering realities. The standardized output assessment values ​​provide a unified benchmark for comparing the corrosion status of different equipment and at different times, significantly improving the objectivity and comparability of the condition assessment.

[0061] In the embodiments of this application, a multimodal energy sensing method for assessing the corrosion status of power equipment is provided. The method involves acquiring strain energy monitoring data of the power equipment and assessing its structural status based on this data to determine a structural status assessment value. This includes: acquiring strain energy monitoring data of the power equipment and determining preset strain indices from the data. These preset strain indices include average strain value, strain fluctuation amplitude, and strain change rate value; determining a benchmark value corresponding to each preset strain indice; calculating the difference between each preset strain indice and its corresponding benchmark value; evaluating the calculated differences to obtain an index assessment value for each preset strain indice; normalizing each preset strain indice to obtain its weight; and weighting and summing the index assessment values ​​of each preset strain indice with their corresponding weights to obtain a structural status assessment value.

[0062] Specifically, three key features are extracted from the strain time-series data collected by fiber Bragg grating sensors: average strain value (reflecting the static strain shift caused by corrosion product expansion or cross-sectional loss), strain fluctuation amplitude (characterizing the degree of strain variation under dynamic loads such as wind vibration and electrodynamics), and strain change rate value (indicating the trend of strain change over time and reflecting the corrosion development speed). Each indicator corresponds to a benchmark value. By calculating the deviation between the measured value and the benchmark value of each indicator, and using a normalization function to map it to an indicator evaluation value in the 0-1 range, the deviation of each dimension from structural safety is quantified. The three indicators are normalized and weighted, with differentiated weights assigned based on their contribution to the structural failure risk. A weighted fusion model integrates the evaluation values ​​of the three dimensions into a single structural state evaluation value, which quantitatively characterizes the degree of equipment structural performance degradation caused by corrosion. This step establishes a bridge from microscopic strain to macroscopic structural safety, comprehensively capturing the structural response caused by corrosion through three characteristics: static offset, dynamic fluctuation, and trend change. The benchmark-based dynamic evaluation mechanism can sensitively identify abnormal strain modes and achieve early damage warning. The adaptive allocation of multi-index weights scientifically balances the influence of short-term sudden loads and long-term creep damage.

[0063] In the embodiments of this application, a multimodal energy sensing method for assessing the corrosion status of power equipment is provided. The method involves determining the corrosion type based on electrochemical energy monitoring data and comprehensively determining the initial corrosion status value of the power equipment based on the corrosion type, corrosion degree assessment value, and structural state assessment value. The method includes: extracting electrochemical features from the electrochemical energy monitoring data and inputting the electrochemical features into a preset corrosion type identification model for identification and output to obtain the corrosion type of the power equipment; determining the corrosion type coefficient corresponding to the corrosion type of the power equipment from a preset corrosion type-corrosion type coefficient mapping table based on the corrosion type of the power equipment, and calculating the initial corrosion status value of the power equipment based on the corrosion type coefficient, corrosion degree assessment value, and structural state assessment value.

[0064] Specifically, key electrochemical features such as noise resistance, pitting corrosion indices, and transient characteristics are extracted from electrochemical energy monitoring data and input into a pre-defined corrosion type identification model based on machine learning or rule-based reasoning to automatically determine the corrosion type of power equipment. Based on a pre-defined corrosion type-corrosion type coefficient mapping table, the corresponding corrosion type coefficient is determined to quantify the risk level of the corrosion type. The corrosion type coefficient, corrosion intensity assessment value, and structural state assessment value are integrated to calculate the initial corrosion state value of the power equipment. This value comprehensively characterizes the synergistic influence of corrosion mechanism, corrosion intensity, and structural response. This step achieves intelligent identification of corrosion types, transforming qualitative classification into quantitative coefficients, enhancing the mechanism-specificity of the assessment. It integrates both electrochemical and structural information, overcoming the limitations of a single data source and forming a complete assessment chain from corrosion mechanism to structural consequences. The initial corrosion state value provides a scientific benchmark for subsequent environmental correction and classification, significantly improving the comprehensiveness and reliability of corrosion state assessment, and providing key decision-making basis for precise operation and maintenance and risk prevention of power equipment.

[0065] In an embodiment of this application, a multimodal energy sensing method for assessing the corrosion state of power equipment is provided. The initial corrosion state value of the power equipment is calculated using the following formula:

[0066] Z = k*(α*E+β*G),

[0067] Where Z is the initial corrosion state value of the power equipment, k is the corrosion type coefficient, α is the first preset weight, E is the corrosion degree assessment value, β is the second preset weight, and G is the structural state assessment value.

[0068] In embodiments of this application, a multimodal energy sensing method for assessing the corrosion status of power equipment is provided. The method involves acquiring environmental energy input data of the environment in which the power equipment is located, and determining the corrosion impact coefficient of the environment on the power equipment based on this data. This includes: acquiring environmental energy input data of the environment in which the power equipment is located, and extracting temperature data, humidity data, and salt spray concentration data from the environmental energy input data; calculating temperature sub-index, humidity sub-index, and salt spray sub-index based on the temperature data, humidity data, and salt spray concentration data respectively; calculating the average values ​​of the temperature data, humidity data, and salt spray concentration data respectively, and normalizing each average value to obtain the weights corresponding to the temperature sub-index, humidity sub-index, and salt spray sub-index; weighting and summing the temperature sub-index, humidity sub-index, and salt spray sub-index with their corresponding weights to obtain an environmental corrosion index; determining a preset conversion coefficient, and multiplying the environmental corrosion index by the preset conversion coefficient to obtain a corrosion impact coefficient.

[0069] Specifically, by collecting real-time monitoring data of the environment where the power equipment is located, three key environmental parameters—temperature, humidity, and salt spray concentration—are extracted. The corresponding temperature sub-index (reflecting the Arrhenius effect of temperature on corrosion reaction rate), humidity sub-index (quantifying electrolyte film formation conditions based on critical humidity and wetting time), and salt spray sub-index (assessing the intensity of the corrosive medium based on salt spray deposition rate and chloride ion accumulation) are calculated. The statistical mean of each parameter is normalized, and weights are dynamically allocated to reflect the relative importance of different environmental factors under local conditions. The three sub-indices are then weighted and fused with their corresponding weights to obtain a comprehensive environmental corrosion index. This index comprehensively characterizes the synergistic driving effect of the environment on corrosion. By multiplying by a preset conversion coefficient, the environmental corrosion index is converted into a corrosion influence coefficient, quantitatively expressing the degree to which the environment accelerates or inhibits equipment corrosion. This step enables dynamic quantification of environmental corrosivity using multiple parameters, integrating dispersed environmental factors into a single index to intuitively reflect environmental severity. The sub-index model scientifically characterizes the independent and synergistic effects of temperature, humidity, and salt spray, avoiding simple superposition in environmental assessments. The corrosion influence coefficient, as an environmental correction factor, can calibrate the initial corrosion state value within a specific environmental context, making the final corrosion state level more consistent with actual service conditions.

[0070] In an embodiment of this application, a multimodal energy sensing method for assessing the corrosion status of power equipment is provided, wherein the temperature sub-index is calculated using the following formula:

[0071]

[0072] Where KT is the temperature index and T is the average temperature value of the temperature data;

[0073] The formula for calculating the humidity index is:

[0074]

[0075] Where H is the humidity index and KH is the average relative humidity value of the humidity data;

[0076] The formula for calculating the salt spray index is as follows:

[0077]

[0078] Where S is the salt spray index and KS is the average salt spray deposition rate value of the salt spray concentration data.

[0079] In an embodiment of this application, a multimodal energy sensing method for assessing the corrosion status of power equipment is provided. The method for determining the corrosion status value of the power equipment based on the corrosion influence coefficient and the initial corrosion status value includes: multiplying the corrosion influence coefficient and the initial corrosion status value to obtain the corrosion status value of the power equipment.

[0080] In the embodiments of this application, a multimodal energy sensing method for assessing the corrosion status of power equipment is provided. The step of determining the corrosion status level of the power equipment based on the corrosion status value includes: pre-setting a preset corrosion status level-correlation relationship between corrosion status level and corrosion status value interval, wherein the preset corrosion status level-correlation status value interval correspondence is associated with a corresponding preset corrosion status level for each corrosion status value interval; determining the corrosion status value of the power equipment, and selecting the preset corrosion status level corresponding to the corrosion status value interval as the corrosion status level of the power equipment based on the mapping relationship of the corrosion status value interval to which the corrosion status value belongs within the preset corrosion status level-correlation status value interval correspondence.

[0081] Specifically, several corrosion state value ranges are pre-defined, each corresponding to a specific corrosion state level. After obtaining the quantitative corrosion state value of the power equipment, the system automatically matches and outputs the corresponding corrosion state level from a pre-defined mapping relationship based on the value's range, completing a precise mapping from continuous values ​​to discrete levels. This step achieves standardized output of assessment results, transforming complex quantitative data into intuitive level descriptions, significantly improving the readability and operability of the assessment results; it establishes a unified decision-making benchmark, ensuring the comparability of assessment results for different equipment, at different times, and in different locations through a pre-defined level-range correspondence, avoiding differences in subjective judgment; it enables direct linkage between assessment and operation and maintenance, with each corrosion state level pre-associated with specific maintenance strategies and response time limits, thus supporting automated closed-loop management from state assessment to maintenance decision-making; and it provides a basis for risk-level management, with clear level classifications helping operation and maintenance personnel quickly identify high-risk equipment, optimize resource allocation, and improve the efficiency and accuracy of power grid safety management.

[0082] like Figure 2As shown in the embodiments of this application, a multimodal energy sensing power equipment corrosion status assessment system is provided, comprising: a first acquisition module, used to acquire electrochemical energy monitoring data of the power equipment, and to assess the degree of electrochemical corrosion of the power equipment based on the electrochemical energy monitoring data, and determine a corrosion degree assessment value; a second acquisition module, used to acquire strain energy monitoring data of the power equipment, and to assess the structural state of the power equipment based on the strain energy monitoring data, and determine a structural state assessment value; a calculation module, used to determine the corrosion type based on the electrochemical energy monitoring data, and to comprehensively determine the initial corrosion status value of the power equipment based on the corrosion type, the corrosion degree assessment value, and the structural state assessment value; a third acquisition module, used to acquire environmental energy input data of the environment in which the power equipment is located, and to determine the environmental influence coefficient of the corrosion on the power equipment based on the environmental energy input data; and a third acquisition module, used to determine the corrosion status value of the power equipment based on the corrosion influence coefficient and the initial corrosion status value, and to determine the corrosion status level of the power equipment based on the corrosion status value.

[0083] In summary, this invention provides a multimodal energy-sensing method and system for assessing the corrosion status of power equipment. The method includes: assessing the degree of electrochemical corrosion of the power equipment based on electrochemical energy monitoring data to determine a corrosion degree assessment value; assessing the structural state of the power equipment based on strain energy monitoring data to determine a structural state assessment value; determining the corrosion type based on the electrochemical energy monitoring data, and determining the initial corrosion status value of the power equipment based on the corrosion degree assessment value and the structural state assessment value; acquiring environmental energy input data of the environment in which the power equipment is located, and determining a corrosion influence coefficient based on this data; determining the corrosion status value of the power equipment based on the corrosion influence coefficient and the initial corrosion status value, and determining the corrosion status level of the power equipment based on this data. This invention achieves a multi-dimensional and accurate assessment of the corrosion process from microscopic reactions to macroscopic structural responses by integrating energy input data from electrochemistry, strain, and the environment.

[0084] Finally, it should be noted that those skilled in the art can obviously make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims and their equivalents, this invention also intends to include these modifications and variations.

[0085] The above description is merely one embodiment of the present invention, and should not be construed as limiting the scope of the invention. Any structural changes made based on the present invention, as long as they do not depart from the essence of the invention, should be considered as falling within the protection scope of the present invention and subject to its restrictions. Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process and related descriptions of the platform described above can be referred to the corresponding processes in the foregoing platform embodiments, and will not be repeated here.

[0086] The term "comprising" or any other similar term is intended to cover non-exclusive inclusion, such that a process, platform, article, or device / platform that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to those processes, platforms, articles, or devices / platforms.

[0087] The technical solutions of the present invention have been described in conjunction with the accompanying drawings and further embodiments. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to closely related technical features, and the technical solutions resulting from such changes or substitutions will all fall within the scope of protection of the present invention.

[0088] The above description is merely a preferred embodiment of the present invention and is not intended to limit the scope of protection of the present invention.

Claims

1. A multimodal energy sensing method for assessing the corrosion status of power equipment, characterized in that, include: Acquire electrochemical energy monitoring data of power equipment, and assess the degree of electrochemical corrosion of power equipment based on the electrochemical energy monitoring data to determine the corrosion degree assessment value; Acquire strain energy monitoring data of power equipment, and evaluate the structural status of power equipment based on strain energy monitoring data to determine the structural status evaluation value; The corrosion type is determined based on electrochemical energy monitoring data, and the initial corrosion state value of the power equipment is determined by comprehensively considering the corrosion type, corrosion degree assessment value, and structural state assessment value. Obtain environmental energy input data of the environment where the power equipment is located, and determine the corrosion impact coefficient of the environment on the power equipment based on the environmental energy input data; The corrosion state value of the power equipment is determined based on the corrosion influence coefficient and the initial corrosion state value, and the corrosion state level of the power equipment is determined based on the corrosion state value.

2. The method for assessing the corrosion status of power equipment using multimodal energy sensing according to claim 1, characterized in that, The process of acquiring electrochemical energy monitoring data of power equipment and assessing the degree of electrochemical corrosion of the power equipment based on the electrochemical energy monitoring data to determine the corrosion degree assessment value includes: Acquire electrochemical energy monitoring data of power equipment, and determine preset electrochemical indicators from the electrochemical energy monitoring data. The preset electrochemical indicators include noise resistance value, pitting index value and transient peak quantity value. The baseline values ​​corresponding to each preset electrochemical index are determined, the difference between each preset electrochemical index and the corresponding baseline value is calculated, and the calculated difference is evaluated to obtain the index evaluation value of each preset electrochemical index. The preset electrochemical indicators are normalized to obtain their weights. The evaluation values ​​of each preset electrochemical indicator are then weighted and summed with their corresponding weights to obtain the corrosion degree evaluation value.

3. The method for assessing the corrosion status of power equipment using multimodal energy sensing according to claim 2, characterized in that, The process of acquiring strain energy monitoring data of power equipment and evaluating the structural state of the power equipment based on the strain energy monitoring data to determine the structural state evaluation value includes: Acquire strain energy monitoring data of power equipment and determine preset strain indicators from the strain energy monitoring data. The preset strain indicators include average strain value, strain fluctuation amplitude and strain change rate value. The benchmark values ​​corresponding to each preset strain index are determined, the difference between each preset strain index and the corresponding benchmark value is calculated, and the calculated difference values ​​are evaluated to obtain the index evaluation values ​​of each preset strain index. The preset strain indices are normalized to obtain their weights. The weighted sum of the index evaluation values ​​of each preset strain index and their corresponding weights is then calculated to obtain the structural state evaluation value.

4. The method for assessing the corrosion status of power equipment using multimodal energy sensing according to claim 3, characterized in that, The process of determining the corrosion type based on electrochemical energy monitoring data, and comprehensively determining the initial corrosion state value of the power equipment based on the corrosion type, corrosion degree assessment value, and structural state assessment value, includes: Electrochemical features are extracted from electrochemical energy monitoring data and input into a preset corrosion type identification model for identification and output to obtain the corrosion type of the power equipment. Based on the corrosion type of the power equipment, the corrosion type coefficient corresponding to the corrosion type of the power equipment is determined from the preset corrosion type-corrosion type coefficient mapping table. The initial corrosion state value of the power equipment is obtained by calculation based on the corrosion type coefficient, corrosion degree assessment value and structural state assessment value.

5. The method for assessing the corrosion status of power equipment using multimodal energy sensing according to claim 4, characterized in that, The formula for calculating the initial corrosion state value of the power equipment is as follows: Z = k*(α*E+β*G), Where Z is the initial corrosion state value of the power equipment, k is the corrosion type coefficient, α is the first preset weight, E is the corrosion degree assessment value, β is the second preset weight, and G is the structural state assessment value.

6. The method for assessing the corrosion status of power equipment using multimodal energy sensing according to claim 4, characterized in that, The process of acquiring environmental energy input data of the environment where the power equipment is located, and determining the corrosion impact coefficient of the environment on the power equipment based on the environmental energy input data, includes: Acquire environmental energy input data of the environment where the power equipment is located, and extract temperature data, humidity data and salt spray concentration data from the environmental energy input data; Based on temperature data, humidity data, and salt spray concentration data, the temperature sub-index, humidity sub-index, and salt spray sub-index are calculated respectively. The average values ​​of temperature data, humidity data, and salt spray concentration data are calculated separately, and the average values ​​are normalized to obtain the weights corresponding to the temperature sub-index, humidity sub-index, and salt spray sub-index. The environmental corrosion index is obtained by weighting and summing the temperature index, humidity index, and salt spray index with their corresponding weights. Determine the preset conversion coefficient, and multiply the environmental corrosion index by the preset conversion coefficient to obtain the corrosion influence coefficient.

7. The method for assessing the corrosion status of power equipment using multimodal energy sensing according to claim 6, characterized in that, The formula for calculating the temperature index is: Where KT is the temperature index and T is the average temperature value of the temperature data; The formula for calculating the humidity index is: Where H is the humidity index and KH is the average relative humidity value of the humidity data; The formula for calculating the salt spray index is as follows: Where S is the salt spray index and KS is the average salt spray deposition rate value of the salt spray concentration data.

8. The method for assessing the corrosion status of power equipment using multimodal energy sensing according to claim 6, characterized in that, The determination of the corrosion state value of power equipment based on the corrosion influence coefficient and the initial corrosion state value includes: The corrosion influence coefficient is multiplied by the initial corrosion state value to obtain the corrosion state value of the power equipment.

9. The method for assessing the corrosion status of power equipment using multimodal energy sensing according to claim 8, characterized in that, The determination of the corrosion status level of power equipment based on corrosion status values ​​includes: A preset corrosion state level-correlation state value range correspondence is set in advance. For each corrosion state value range, the preset corrosion state level is associated with a corresponding preset corrosion state level. The corrosion state value of the power equipment is determined, and based on the mapping relationship between the corrosion state value interval to which the corrosion state value belongs and the preset corrosion state level-correspondence relationship, the preset corrosion state level corresponding to the corrosion state value interval is selected as the corrosion state level of the power equipment.

10. A multimodal energy sensing system for assessing the corrosion status of power equipment, characterized in that, include: The first acquisition module is used to acquire electrochemical energy monitoring data of power equipment, and to assess the degree of electrochemical corrosion of power equipment based on the electrochemical energy monitoring data, and to determine the corrosion degree assessment value. The second acquisition module is used to acquire strain energy monitoring data of power equipment, and to evaluate the structural state of power equipment based on the strain energy monitoring data, and determine the structural state evaluation value. The calculation module is used to determine the corrosion type based on electrochemical energy monitoring data, and to comprehensively determine the initial corrosion state value of the power equipment based on the corrosion type, corrosion degree assessment value and structural state assessment value. The third acquisition module is used to acquire the environmental energy input data of the environment where the power equipment is located, and to determine the corrosion impact coefficient of the environment on the power equipment based on the environmental energy input data; The determination module is used to determine the corrosion state value of power equipment based on the corrosion influence coefficient and the initial corrosion state value, and to determine the corrosion state level of power equipment based on the corrosion state value.

Images