A test strength evaluation method based on multi-source environment fusion

Abstract

The application discloses a test intensity evaluation method based on multi-source environment fusion, relates to the technical field of environment fusion, and is used for solving the problem that dynamic quantitative evaluation and grading determination of test intensity cannot be realized and the fine regulation and control capability of a test process is limited, through collection of salt mist deposition data, cabin wind speed data and surface wet film signals, construction of multi-source environment parameter collaborative change characteristics, extraction of a salt film conduction trend in combination with surface conductivity, formation of an environment collaborative index, introduction of historical salt mist duration and pretightening force data, construction of a corrosion sensitive state, state correction of environment action intensity, comprehensive calculation of salt mist intensity characteristics through an intensity modulation coefficient and the environment collaborative index, and realization of salt mist intensity grade division in combination with grading determination intervals in a corrosion standard library, so that fusion evaluation of environment loading, material state and historical corrosion accumulation is realized, and grading determination and dynamic regulation and control of a test process are supported.

Description

Technical Field

[0001] This invention relates to the field of environmental fusion technology, and more specifically, to a method for evaluating experimental intensity based on multi-source environmental fusion. Background Technology

[0002] In the field of material corrosion resistance verification, salt spray testing, as a typical environmental loading test method, is widely used in the reliability assessment of metal components, fasteners and structural parts. In the existing technology, most salt spray tests usually rely on a single environmental parameter or preset standard conditions for control, such as using the amount of salt spray deposition or the duration of the test as the main evaluation basis, and determining the degree of corrosion by periodically observing the corrosion morphology or quality changes on the surface of the test piece.

[0003] The existing technology has the following shortcomings:

[0004] Currently, existing technologies mainly characterize and determine the salt spray test process based on a single environmental parameter or static conditions, and mostly use discrete observation methods to evaluate corrosion results after the fact. They lack the ability to uniformly model the synergistic changes between multi-source environmental data, making it difficult to accurately characterize the salt film conduction trend and the modulation effect of corrosion-sensitive states on the intensity of environmental effects. Consequently, they cannot achieve dynamic quantitative assessment and classification of test intensity, limiting the ability to finely control the test process. Therefore, a test intensity assessment method based on multi-source environmental fusion is proposed.

[0005] The information disclosed in the background section is only intended to enhance the understanding of the background of this disclosure, and therefore may include information that does not constitute prior art known to those skilled in the art. Summary of the Invention

[0006] To overcome the aforementioned deficiencies of the prior art, embodiments of the present invention provide a test intensity assessment method based on multi-source environmental fusion. This method utilizes a multi-source environmental parameter collaborative change modeling and a surface conductivity-driven salt film conduction trend identification mechanism. It also integrates historical load information and preload data to construct a corrosion-sensitive state, and combines an intensity modulation coefficient to dynamically correct and classify the environmental impact intensity, thus solving the problems mentioned in the background art.

[0007] To achieve the above objectives, the present invention provides the following technical solution: a test intensity evaluation method based on multi-source environmental fusion, comprising the following steps:

[0008] Step S1: When conducting a salt spray corrosion loading test on the test specimen, access the salt spray test library to obtain the current loading environment type, set the loading analysis time, and collect the environmental loading data corresponding to the environmental loading type within the loading analysis time.

[0009] Step S2: Evaluate the synergistic change characteristics based on environmental loading data, detect the surface conductivity of the test specimen, identify the salt film conduction trend of the test specimen using the surface conductivity, and generate an environmental synergistic index by combining the salt film conduction trend and synergistic change characteristics.

[0010] Step S3: Access the historical database to obtain the historical load records of the test specimen, statistically analyze the historical salt spray duration based on the historical load records, collect the preload data of the test specimen, and analyze the corrosion susceptibility state of the test specimen in combination with the historical salt spray duration.

[0011] Step S4: Set the intensity modulation coefficient based on the corrosion-sensitive state, evaluate the salt spray intensity characteristics by combining the environmental synergy index and the intensity modulation coefficient, access the corrosion standard library to obtain the corrosion judgment interval, and generate the salt spray intensity result by combining the salt spray intensity characteristics.

[0012] In a preferred embodiment, in step S1, when the test specimen is subjected to a salt spray corrosion loading test, the salt spray test library is accessed to obtain the environmental loading type of the current loading test. The environmental loading type includes salt spray deposition type, chamber airflow type and surface wet film formation type.

[0013] Among them, the salt spray deposition type corresponds to the collection of salt spray deposition data, the cabin airflow type corresponds to the collection of cabin wind speed data, and the surface wet film formation type corresponds to the collection of surface wet film signals.

[0014] The loading analysis time is preset, and environmental loading data corresponding to the environmental loading type is collected within the loading analysis time. The environmental loading data includes salt spray deposition data, cabin wind speed data, and surface wet film signal of the test specimen.

[0015] In a preferred embodiment, in step S1, the amount of salt spray liquid deposition received per unit area per unit time in the test chamber is collected by the salt spray deposition collection device, and the amount of salt spray liquid deposition is used as salt spray deposition data.

[0016] The real-time flow velocity of the airflow inside the test chamber is collected by the wind speed sensor inside the test chamber, and the airflow velocity inside the test chamber is used as the wind speed data inside the chamber.

[0017] The surface wet film signal, including the thickness values ​​of each liquid film, is collected by a wet film detection electrode placed on the surface of the test specimen.

[0018] In a preferred embodiment, in step S2, the salt spray deposition data and the cabin wind speed data are standardized to obtain standardized salt spray deposition values ​​and standardized wind speed values.

[0019] After standardizing the liquid film thickness value in the surface wet film signal, the standardized liquid film thickness value is obtained.

[0020] The standardized salt spray deposition value, standardized wind speed value, and standardized liquid film thickness value are multiplied in pairs to obtain each synergistic enhancement component.

[0021] The synergistic change characteristics are obtained by weighted summation of each synergistic enhancement component.

[0022] In a preferred embodiment, in step S2, the surface conductivity of the test specimen is detected by a conductivity detection probe, the surface conductivity is arranged in chronological order, and the difference between adjacent surface conductivity values ​​is obtained to obtain a conductivity difference value.

[0023] The conductivity difference values ​​that are positive are marked, and the marked conductivity difference values ​​are summed to obtain the salt film conduction trend.

[0024] The salt film conduction trend is standardized to obtain the standardized salt film conduction trend, and the environmental synergy index is calculated by combining the synergistic change characteristics.

[0025] In a preferred embodiment, in step S3, the historical database is accessed to retrieve the historical load record corresponding to the unique identifier of the current test piece;

[0026] Historical load records are a sequence of environmental loading information recorded during each environmental test, including the start time, end time, and loading type of salt spray loading for each historical test phase.

[0027] A subset of records with salt spray corrosion loading type was selected from the historical load records, and the duration from the start time to the end time of salt spray loading in each subset of records was statistically analyzed to obtain the salt spray loading duration.

[0028] The historical salt spray duration is obtained by summing all salt spray loading times.

[0029] A reference salt spray duration is introduced, which is derived from the standard test duration of the corresponding test type in the corrosion standard library.

[0030] The corrosion standard library is a data set used to store corrosion evaluation standards corresponding to different test types. Based on the reference salt spray duration, the historical salt spray duration is normalized by dividing the historical salt spray duration by the reference salt spray duration to obtain the normalized salt spray duration.

[0031] In a preferred embodiment, in step S3, the preload data of the test piece to be tested is collected by a preload force detection device that is pre-installed at the installation position of the connection terminal;

[0032] The preload force data refers to the axial clamping force of the connecting terminal in the assembled state;

[0033] Obtain the upper limit of the preload design. The upper limit of the preload design is derived from the assembly specifications. Based on the upper limit of the preload design, the preload data is normalized to obtain the normalized preload.

[0034] A corrosion sensitivity index is constructed by weighting and fusing the normalized salt spray duration and normalized preload force, and then compared with a preset sensitivity threshold.

[0035] When the corrosion sensitivity index is greater than or equal to the preset sensitivity threshold, the corrosion sensitivity state of the test specimen is determined to be a susceptible state.

[0036] When the corrosion sensitivity index is less than the preset sensitivity threshold, the corrosion sensitivity state of the test specimen is determined to be non-sensitive.

[0037] In a preferred embodiment, in step S4, an intensity modulation coefficient is set based on the corrosion-sensitive state, and the corrosion sensitivity index is retrieved to construct the intensity modulation coefficient: ;

[0038] in, The intensity modulation coefficient, The corrosion sensitivity index, The preset modulation gain ratio is derived from the fitting results of historical experimental data;

[0039] The environmental synergy index is obtained, and the environmental synergy index is coupled with the intensity modulation coefficient to calculate the salt spray intensity characteristics.

[0040] Access the corrosion standard library and retrieve the corrosion judgment interval corresponding to the current test type. The corrosion judgment interval consists of multiple incremental graded thresholds, including the first intensity threshold, the second intensity threshold, and the third intensity threshold.

[0041] In a preferred embodiment, in step S4, the salt spray intensity characteristics are matched with the corrosion determination interval to generate different salt spray intensity results:

[0042] When the salt spray intensity characteristic is less than the first intensity threshold, the current test stage is determined to be a first-class salt spray intensity.

[0043] When the salt spray intensity characteristic is greater than or equal to the first intensity threshold and less than the second intensity threshold, the current test stage is determined to be a second-level salt spray intensity.

[0044] When the salt spray intensity characteristic is greater than or equal to the second intensity threshold and less than the third intensity threshold, the current test stage is determined to be a third-level salt spray intensity.

[0045] When the salt spray intensity characteristic is greater than or equal to the third intensity threshold, the current test stage is determined to be a fourth-level salt spray intensity.

[0046] Salt spray intensity results reflect whether the environmental loading conditions meet the requirements, as well as the actual load strength of the test specimen under the current corrosion-sensitive state.

[0047] The technical effects and advantages of this invention are as follows:

[0048] This invention constructs a multi-source environmental parameter synergistic variation characteristic by collecting salt spray deposition data, cabin wind speed data, and surface wet film signals. It also extracts the salt film conduction trend by combining surface conductivity to form an environmental synergy index. By introducing historical salt spray duration and pre-tightening force data, a corrosion-sensitive state is constructed, and the intensity of environmental action is corrected for the state. The salt spray intensity characteristics are calculated by comprehensively using the intensity modulation coefficient and the environmental synergy index. Combined with the classification judgment interval in the corrosion standard library, the salt spray intensity level is classified. This achieves a fusion assessment of environmental loading, material state, and historical corrosion accumulation, supporting the classification judgment and dynamic control of the test process. Attached Figure Description

[0049] Figure 1 This is a flowchart illustrating the implementation of a test intensity assessment method based on multi-source environmental fusion according to the present invention.

[0050] Figure 2 This is a schematic diagram illustrating the steps of a test intensity assessment method based on multi-source environmental fusion according to the present invention. Detailed Implementation

[0051] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0052] This invention constructs a multi-source environmental parameter synergistic variation characteristic by collecting salt spray deposition data, cabin wind speed data, and surface wet film signals. It also extracts the salt film conduction trend by combining surface conductivity to form an environmental synergy index. By introducing historical salt spray duration and pre-tightening force data, a corrosion-sensitive state is constructed, and the intensity of environmental action is corrected for the state. The salt spray intensity characteristics are calculated by comprehensively using the intensity modulation coefficient and the environmental synergy index. Combined with the classification judgment interval in the corrosion standard library, the salt spray intensity level is classified, realizing the integrated evaluation of environmental loading, material state, and historical corrosion accumulation.

[0053] Example 1, as Figures 1 to 2 As shown, a test intensity assessment method based on multi-source environmental fusion includes the following steps:

[0054] Step S1: When conducting a salt spray corrosion loading test on the test specimen, access the salt spray test library to obtain the current loading environment type, set the loading analysis time, and collect the environmental loading data corresponding to the environmental loading type within the loading analysis time.

[0055] Step S2: Evaluate the synergistic change characteristics based on environmental loading data, detect the surface conductivity of the test specimen, identify the salt film conduction trend of the test specimen using the surface conductivity, and generate an environmental synergistic index by combining the salt film conduction trend and synergistic change characteristics.

[0056] Step S3: Access the historical database to obtain the historical load records of the test specimen, statistically analyze the historical salt spray duration based on the historical load records, collect the preload data of the test specimen, and analyze the corrosion susceptibility state of the test specimen in combination with the historical salt spray duration.

[0057] Step S4: Set the intensity modulation coefficient based on the corrosion-sensitive state, evaluate the salt spray intensity characteristics by combining the environmental synergy index and the intensity modulation coefficient, access the corrosion standard library to obtain the corrosion judgment interval, and generate the salt spray intensity result by combining the salt spray intensity characteristics.

[0058] The specific implementation is as follows:

[0059] In step S1, when conducting a salt spray corrosion loading test on the test specimen, the salt spray test library is accessed to obtain the environmental loading type of the current loading test. The salt spray corrosion loading test refers to the corrosion test process in which different environmental effects are applied to the test specimen in a closed salt spray test chamber to simulate the salt spray erosion conditions experienced by the test specimen in the actual service environment. The environmental loading type refers to the combination of environmental parameter acquisition channels pre-configured in the salt spray test library that corresponds to the current corrosion test scheme. It is used to determine the type of environmental signals that need to be acquired in the current test, including salt spray deposition type, airflow type in the chamber, and surface wet film formation type.

[0060] Among them, the salt spray deposition type describes the deposition rate and uniformity of salt spray particles on the test specimen surface per unit time, and it corresponds to the collection of salt spray deposition data to reflect the supply intensity of the corrosive medium; the chamber airflow type describes the flow velocity and flow direction distribution of the airflow in the test chamber, and it corresponds to the collection of chamber wind speed data to reflect the migration ability of salt spray particles in space and their impact on the deposition distribution; the surface wet film formation type describes the formation, persistence and dissipation of the liquid film on the surface of the test specimen, and it corresponds to the collection of surface wet film signals to reflect whether the salt spray particles form a continuous electrolyte environment on the surface of the test specimen.

[0061] The loading analysis time is preset and divided into multiple sampling times. During the loading analysis time, environmental loading data corresponding to the environmental loading type is collected. The environmental loading data includes salt spray deposition data, cabin wind speed data, and surface wet film signal of the test specimen.

[0062] The salt spray deposition data is collected by a salt spray deposition collection device, which measures the amount of salt spray liquid deposited per unit area per unit time within the test chamber. This amount of salt spray liquid deposition is used as salt spray deposition data to reflect the amount of salt spray liquid deposited on the surface of the test specimen per unit time.

[0063] The real-time flow velocity of the airflow inside the test chamber is collected by the wind speed sensor inside the test chamber. The wind speed inside the test chamber is used as the wind speed data inside the chamber to reflect the transport status of salt spray particles inside the test chamber.

[0064] The surface wet film signal is acquired by setting a wet film detection electrode on the surface of the test specimen. The surface wet film signal refers to the thickness signal sequence formed by the change of liquid film thickness in a unit detection area on the surface of the test specimen over time, including each liquid film thickness value, reflecting the formation state of the liquid film on the surface of the test specimen.

[0065] It should be explained that the salt spray test chamber refers to a structured data set established before the salt spray corrosion test, which stores the environmental loading type and process parameter configuration by test number; the preset loading analysis time can be set according to the material type of the test specimen, the test standard requirements, and the environmental loading type; the salt spray deposition collection device is a quantitative collection device for deposition based on a standard liquid receiving area, which includes a liquid collection container set in the test chamber and a volume measurement unit or mass sensing unit connected to it; the wind speed sensor is a measuring device used to detect the airflow velocity in the test chamber; the wet film detection electrode is a liquid film state detection unit set on the surface of the test specimen.

[0066] In step S2, the salt spray deposition data and the cabin wind speed data are standardized to obtain standardized salt spray deposition values ​​and standardized wind speed values.

[0067] After standardizing the liquid film thickness value in the surface wet film signal, the standardized liquid film thickness value is obtained.

[0068] At the same sampling time, the standardized salt spray deposition value, standardized wind speed value, and standardized liquid film thickness value are multiplied pairwise to obtain the corresponding synergistic enhancement component.

[0069] The synergistic variation characteristics are calculated by weighted summation of each synergistic enhancement component: ,in, As a characteristic of coordinated change, , and These are the preset weighting coefficients. The salt spray transport enhancement component is obtained by multiplying the standardized salt spray deposition value by the standardized wind speed value. The deposition film formation synergistic enhancement component is obtained by multiplying the standardized salt spray deposition value and the standardized liquid film thickness value. The airflow film formation synergistic enhancement component is obtained by multiplying the standardized wind speed value and the standardized liquid film thickness value.

[0070] The surface conductivity of the test specimen is detected by a conductivity detection probe, reflecting the conductivity of salt ions formed in the liquid film on the surface of the test specimen.

[0071] The surface conductivity is arranged in chronological order, and the difference between adjacent surface conductivity values ​​is obtained to obtain the conductivity difference value. The conductivity difference values ​​with positive values ​​are marked, and the marked conductivity difference values ​​are summed to obtain the salt film conduction trend. This reflects the degree of continuous enhancement of ionic conductivity in the liquid film on the surface of the test piece and the formation process of continuous conductive channels. The larger the value, the more fully the conductive path of the salt film is established and the easier it is for the corrosion reaction to continue.

[0072] The salt film conduction trend is standardized to obtain the standardized salt film conduction trend. The environmental synergy index is then calculated by combining the synergistic change characteristics. ,in, The mean of the cooperative change characteristics, To standardize the trend of salt film conduction, As a preset adjustment factor, This is the environmental synergy index.

[0073] The environmental synergy index is used to reflect the degree of synchronous enhancement between the supply of corrosive media, airflow transport, surface film formation and ion conduction in the current salt spray corrosion loading test; the larger the value, the more obvious the coupling enhancement between multi-source environmental parameters, and the easier it is for the surface of the test specimen to form continuous corrosion reaction conditions.

[0074] It should be noted that the standardization methods include, but are not limited to, standard linear transformation based on interval scaling, Z-Score standardization based on statistics, or normalization based on nonlinear mapping functions. The application methods of standardization will not be elaborated here. The preset weight coefficients can be set according to the degree of influence of each environmental parameter on the corrosion process in the environmental loading type. The conductivity detection probe is a detection device used to measure the conductivity of the liquid film on the surface of the test piece. It includes a pair of conductive electrodes arranged on the surface of the test piece and a signal acquisition circuit connected to them. The preset adjustment factor can be set according to the statistical distribution of corrosion rate of similar test pieces under different synergistic enhancement conditions in the corrosion standard library.

[0075] In step S3, the historical database is accessed to retrieve the historical load record corresponding to the unique identifier of the current test specimen. The historical load record is a sequence of environmental loading information recorded during each environmental test, including the start time, end time and loading type of salt spray loading for each historical test stage. A subset of records with the loading type of salt spray corrosion loading is selected from the historical load records, and the duration from the start time to the end time of salt spray loading in each subset of records is statistically analyzed to obtain the salt spray loading duration.

[0076] All salt spray loading times are summed to obtain historical salt spray durations. Historical salt spray durations represent the total time that the test specimen has been exposed to the salt spray environment during historical tests. The larger the value, the more sufficient the cumulative effect of salt spray corrosion experienced by the test specimen, the more potential corrosion products or residual salts in the material surface and connection interface, and the higher the initial corrosion basis of the test specimen.

[0077] To eliminate the influence of time scale differences under different test standards, a reference salt spray duration is introduced. The reference salt spray duration is derived from the standard test duration of the corresponding test type in the corrosion standard library. Based on the reference salt spray duration, the historical salt spray duration is normalized by dividing the historical salt spray duration by the reference salt spray duration to obtain the normalized salt spray duration. The normalized salt spray duration is a dimensionless parameter used to characterize the degree of historical corrosion accumulation. The larger the value, the higher the degree of historical corrosion exposure of the test specimen relative to the standard test.

[0078] The preload data of the test piece is collected by preload force detection devices that are pre-installed at the installation position of the connection terminal. The preload force data is the axial clamping force of the connection terminal in the assembled state, which reflects the tightness of the contact of the connection interface. The larger the value, the tighter the contact of the connection interface and the smaller the micro gap between the interfaces. However, it is also easier to form a closed retention space in a local area, thereby enhancing the salt enrichment ability at the interface.

[0079] To achieve unified evaluation among test pieces with different structural specifications, the upper limit of the preload design is obtained, which is derived from the assembly specifications. Based on the upper limit of the preload design, the preload data is normalized by dividing the preload data by the upper limit of the preload design to obtain the normalized preload. The normalized preload is a dimensionless parameter used to characterize the proportion of the current preload state relative to the design limit. The larger the value, the higher the connection interface is in a high clamping state, and the higher the possibility of salt retention and electrochemical corrosion reaction within the interface.

[0080] It should be noted that the historical database is a collection of data used to store the environmental test load information corresponding to the unique identifier of the test piece. The data source is the loading logs and monitoring data archived results automatically recorded at each test stage. The corrosion standard library is a collection of data used to store the corrosion evaluation standards corresponding to different test types. Its data source is industry standards and specifications, laboratory calibration data and historical statistical analysis results. The preload force test piece is a mechanical measuring device installed at the installation position of the connection terminal of the test piece. Its built-in force sensor measures and outputs the axial clamping force of the connection interface in real time when assembled.

[0081] After obtaining the normalized salt spray duration and normalized preload, the two are weighted and fused to construct the corrosion susceptibility index:

[0082] ;

[0083] in, The corrosion sensitivity index, To normalize the duration of salt spray, To normalize the preload, and The preset weighting coefficients are derived from historical experimental statistical models or empirical calibration results, and satisfy the following conditions: .

[0084] The corrosion susceptibility index characterizes the corrosion susceptibility of the test specimen under the combined effect of historical corrosion accumulation and current interface state. The higher the value, the more likely the test specimen is to undergo salt spray-induced corrosion propagation under the current state.

[0085] Access the preset sensitivity threshold and compare the corrosion sensitivity index with the preset sensitivity threshold:

[0086] When the corrosion sensitivity index is greater than or equal to the preset sensitivity threshold, the corrosion sensitivity state of the test specimen is determined to be a susceptible state.

[0087] When the corrosion sensitivity index is less than the preset sensitivity threshold, the corrosion sensitivity state of the test specimen is determined to be non-sensitive.

[0088] It should be noted that the preset sensitivity threshold is a critical parameter used to determine the corrosion sensitivity state. Its value comes from the reverse calibration results of known corrosion failure samples. Several test samples with known corrosion results are selected, and their corrosion sensitivity indices are calculated respectively. The corrosion sensitivity indices corresponding to the samples with obvious corrosion expansion are used as the threshold candidate set. Quantile statistical processing is performed on this set. For example, the p-th quantile value is taken as the preset sensitivity threshold.

[0089] The corrosion-sensitive state will serve as an important basis for subsequent test intensity modulation, and will be used to correct the actual corrosion intensity assessment results under the synergistic effect of the environment.

[0090] In step S4, the intensity modulation coefficient is set based on the corrosion-sensitive state, and the salt spray intensity characteristics are evaluated in combination with the environmental synergy index. Then, the corrosion standard library is accessed to obtain the corrosion judgment interval, and finally the salt spray intensity result is generated.

[0091] First, the corrosion susceptibility index and its corresponding corrosion susceptibility state are read. To achieve differentiated correction of the intensity of environmental effects under different corrosion susceptibility states, an intensity modulation coefficient is constructed based on the corrosion susceptibility index, and its calculation method is as follows:

[0092] ;

[0093] in, The intensity modulation coefficient, The corrosion sensitivity index, The preset modulation gain ratio is derived from the fitting results of historical experimental data.

[0094] The intensity modulation coefficient characterizes the amplification effect of the test specimen on the external salt spray under the current corrosion-sensitive state. The larger the value, the higher the response intensity of the test specimen to the same environmental action, that is, the stronger the actual corrosion action it is subjected to.

[0095] When the corrosion-sensitive state is a susceptible state, the higher the value of the corrosion sensitivity index, the greater the intensity modulation coefficient will be than 1, indicating that the environmental effects are enhanced and corrected. When the corrosion-sensitive state is a non-susceptible state, the lower the value of the corrosion sensitivity index, the closer the intensity modulation coefficient will be to 1, indicating that the environmental effects are not amplified.

[0096] The environmental synergy index is obtained, and then coupled with the intensity modulation coefficient to calculate the salt spray intensity characteristics.

[0097] ;

[0098] in, Characteristics of salt spray intensity For environmental synergy index, This is the intensity modulation coefficient.

[0099] Salt spray intensity characteristics characterize the actual salt spray intensity after considering the correction of the test specimen's own condition. The larger the value, the stronger the effective effect of salt spray on the test specimen surface and the higher the corrosion risk.

[0100] To achieve standardized judgment, the corrosion standard library is accessed to retrieve the corrosion judgment interval corresponding to the current test type. The corrosion judgment interval consists of multiple incremental graded thresholds, including a first intensity threshold, a second intensity threshold, and a third intensity threshold. Each graded threshold is derived from standard test specifications and is used to divide the range of salt spray intensity at different levels. The numerical division reflects the corrosion development stage corresponding to different salt spray intensity levels.

[0101] It should be noted that the corrosion judgment interval is set based on the salt spray intensity feature sample set under standard test conditions in the corrosion standard library, and the salt spray intensity feature sample set is divided into intervals in combination with the corresponding actual corrosion level label.

[0102] Specifically, the salt spray intensity feature sample set is sorted from low to high according to the degree of corrosion, and the grading threshold is determined based on the distribution of the actual corrosion level labels of each salt spray intensity feature sample. Cluster analysis is then used to obtain the first intensity threshold, the second intensity threshold, and the third intensity threshold.

[0103] The salt spray intensity characteristics are matched with the corrosion judgment interval to generate results for different salt spray intensities:

[0104] When the salt spray intensity characteristic is less than the first intensity threshold, the current test stage is determined to be a first-class salt spray intensity.

[0105] When the salt spray intensity characteristic is greater than or equal to the first intensity threshold and less than the second intensity threshold, the current test stage is determined to be a second-level salt spray intensity.

[0106] When the salt spray intensity characteristic is greater than or equal to the second intensity threshold and less than the third intensity threshold, the current test stage is determined to be a third-level salt spray intensity.

[0107] When the salt spray intensity characteristic is greater than or equal to the third intensity threshold, the current test stage is determined to be a fourth-level salt spray intensity.

[0108] The division of corrosion judgment intervals gives the salt spray intensity characteristics clear engineering judgment significance. The numerical intervals constructed by different grade thresholds correspond to different salt spray intensities. The higher the numerical interval, the stronger the actual effect of salt spray on the test piece and the more obvious the corrosion development trend.

[0109] Salt spray intensity results reflect whether the environmental loading conditions meet the requirements, as well as the actual load strength of the test specimen under the current corrosion-sensitive state, thus providing a quantitative basis for subsequent life assessment, structural reliability analysis and test strategy adjustment.

[0110] Finally, it should be noted that in this paper, relational terms such as first and second are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations.

[0111] Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0112] In this document, the singular forms “a,” “an,” and “the” may also include the plural forms unless the context clearly indicates otherwise. It should also be understood that terms such as “comprising / including” or “having” specify the presence of the stated features, integrals, steps, operations, components, parts, or combinations thereof, but do not preclude the possibility of the presence or addition of one or more other features, integrals, steps, operations, components, parts, or combinations thereof. Meanwhile, the term “and / or” as used in this specification includes any and all combinations of the associated listed items.

[0113] The various embodiments in this specification are described in a progressive manner. Each embodiment focuses on the differences from other embodiments. The various embodiments can be combined as needed, and the same or similar parts can be referred to each other.

[0114] The above description of the disclosed embodiments will enable those skilled in the art to make or use various modifications to these embodiments. It will be readily apparent to those skilled in the art that the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A test intensity assessment method based on multi-source environmental fusion, characterized in that: Includes the following steps: Step S1: When conducting a salt spray corrosion loading test on the test specimen, access the salt spray test library to obtain the current loading environment type, set the loading analysis time, and collect the environmental loading data corresponding to the environmental loading type within the loading analysis time. Step S2: Evaluate the synergistic change characteristics based on environmental loading data, detect the surface conductivity of the test specimen, identify the salt film conduction trend of the test specimen using the surface conductivity, and generate an environmental synergistic index by combining the salt film conduction trend and synergistic change characteristics. Step S3: Access the historical database to obtain the historical load records of the test specimen, statistically analyze the historical salt spray duration based on the historical load records, collect the preload data of the test specimen, and analyze the corrosion susceptibility state of the test specimen in combination with the historical salt spray duration. Step S4: Set the intensity modulation coefficient based on the corrosion-sensitive state, evaluate the salt spray intensity characteristics by combining the environmental synergy index and the intensity modulation coefficient, access the corrosion standard library to obtain the corrosion judgment interval, and generate the salt spray intensity result by combining the salt spray intensity characteristics.

2. The test intensity assessment method based on multi-source environmental fusion according to claim 1, characterized in that: In step S1, when the test specimen is subjected to a salt spray corrosion loading test, the salt spray test library is accessed to obtain the environmental loading type of the current loading test. The environmental loading type includes salt spray deposition type, chamber airflow type and surface wet film formation type. Among them, the salt spray deposition type corresponds to the collection of salt spray deposition data, the cabin airflow type corresponds to the collection of cabin wind speed data, and the surface wet film formation type corresponds to the collection of surface wet film signals. The loading analysis time is preset, and environmental loading data corresponding to the environmental loading type is collected within the loading analysis time. The environmental loading data includes salt spray deposition data, cabin wind speed data, and surface wet film signal of the test specimen.

3. The test intensity assessment method based on multi-source environmental fusion according to claim 2, characterized in that: In step S1, the amount of salt spray liquid deposition received per unit area per unit time in the test chamber is collected by the salt spray deposition collection device, and the amount of salt spray liquid deposition is used as salt spray deposition data. The real-time flow velocity of the airflow inside the test chamber is collected by the wind speed sensor inside the test chamber, and the airflow velocity inside the test chamber is used as the wind speed data inside the chamber. The surface wet film signal, including the thickness values ​​of each liquid film, is collected by a wet film detection electrode placed on the surface of the test specimen.

4. The test intensity assessment method based on multi-source environmental fusion according to claim 3, characterized in that: In step S2, the salt spray deposition data and the cabin wind speed data are standardized to obtain standardized salt spray deposition values ​​and standardized wind speed values. After standardizing the liquid film thickness value in the surface wet film signal, the standardized liquid film thickness value is obtained. The standardized salt spray deposition value, standardized wind speed value, and standardized liquid film thickness value are multiplied in pairs to obtain each synergistic enhancement component. The synergistic change characteristics are obtained by weighted summation of each synergistic enhancement component.

5. The test intensity assessment method based on multi-source environmental fusion according to claim 4, characterized in that: In step S2, the surface conductivity of the test specimen is detected by a conductivity detection probe, the surface conductivity is arranged in chronological order, and the difference between adjacent surface conductivity values ​​is obtained to obtain the conductivity difference value. The conductivity difference values ​​that are positive are marked, and the marked conductivity difference values ​​are summed to obtain the salt film conduction trend. The salt film conduction trend is standardized to obtain the standardized salt film conduction trend, and the environmental synergy index is calculated by combining the synergistic change characteristics.

6. The test intensity assessment method based on multi-source environmental fusion according to claim 1, characterized in that: In step S3, the historical database is accessed to retrieve the historical load record corresponding to the unique identifier of the current test piece; Historical load records are a sequence of environmental loading information recorded during each environmental test, including the start time, end time, and loading type of salt spray loading for each historical test phase. A subset of records with salt spray corrosion loading type was selected from the historical load records, and the duration from the start time to the end time of salt spray loading in each subset of records was statistically analyzed to obtain the salt spray loading duration. The historical salt spray duration is obtained by summing all salt spray loading times. A reference salt spray duration is introduced, which is derived from the standard test duration of the corresponding test type in the corrosion standard library. The corrosion standard library is a data set used to store corrosion evaluation standards corresponding to different test types. Based on the reference salt spray duration, the historical salt spray duration is normalized by dividing the historical salt spray duration by the reference salt spray duration to obtain the normalized salt spray duration.

7. The test intensity assessment method based on multi-source environmental fusion according to claim 6, characterized in that: In step S3, the preload data of the test piece is collected by the preload detection device that is pre-placed at the installation position of the connection terminal; The preload force data refers to the axial clamping force of the connecting terminal in the assembled state; Obtain the upper limit of the preload design. The upper limit of the preload design is derived from the assembly specifications. Based on the upper limit of the preload design, the preload data is normalized to obtain the normalized preload. A corrosion sensitivity index is constructed by weighting and fusing the normalized salt spray duration and normalized preload force, and then compared with a preset sensitivity threshold. When the corrosion sensitivity index is greater than or equal to the preset sensitivity threshold, the corrosion sensitivity state of the test specimen is determined to be a susceptible state. When the corrosion sensitivity index is less than the preset sensitivity threshold, the corrosion sensitivity state of the test specimen is determined to be non-sensitive.

8. The test intensity assessment method based on multi-source environmental fusion according to claim 7, characterized in that: In step S4, the intensity modulation coefficient is set based on the corrosion-sensitive state, and the corrosion sensitivity index is retrieved to construct the intensity modulation coefficient: ; in, The intensity modulation coefficient, The corrosion sensitivity index, The preset modulation gain ratio is derived from the fitting results of historical experimental data; The environmental synergy index is obtained, and the environmental synergy index is coupled with the intensity modulation coefficient to calculate the salt spray intensity characteristics. Access the corrosion standard library and retrieve the corrosion judgment interval corresponding to the current test type. The corrosion judgment interval consists of multiple incremental graded thresholds, including the first intensity threshold, the second intensity threshold, and the third intensity threshold.

9. The test intensity assessment method based on multi-source environmental fusion according to claim 8, characterized in that: In step S4, the salt spray intensity characteristics are matched with the corrosion determination interval to generate different salt spray intensity results: When the salt spray intensity characteristic is less than the first intensity threshold, the current test stage is determined to be a first-class salt spray intensity. When the salt spray intensity characteristic is greater than or equal to the first intensity threshold and less than the second intensity threshold, the current test stage is determined to be a second-level salt spray intensity. When the salt spray intensity characteristic is greater than or equal to the second intensity threshold and less than the third intensity threshold, the current test stage is determined to be a third-level salt spray intensity. When the salt spray intensity characteristic is greater than or equal to the third intensity threshold, the current test stage is determined to be a fourth-level salt spray intensity. Salt spray intensity results reflect whether the environmental loading conditions meet the requirements, as well as the actual load strength of the test specimen under the current corrosion-sensitive state.

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