A device for detecting the strength of a marine engineering steel plate

Abstract

The application discloses a kind of marine engineering steel plate strength detection devices, it is related to marine engineering steel plate strength detection technical field, including data processing module;Data processing module includes contact state analysis unit, steel plate strength analysis unit;Contact state analysis unit carries out analysis to the contact state of indenter and steel plate, obtains the moment when indenter and steel plate contact, the time region between contact moment and current moment is marked as strength detection time zone;Steel plate strength analysis unit carries out state analysis to the strength of steel plate in strength detection time zone and obtains steel plate strength analysis result.The application determines the moment when indenter and steel plate contact and reasonably demarcates strength detection time zone by the contact state analysis unit pressure value operation and comparison mechanism, lays the analysis foundation for subsequent detection, and steel plate strength analysis unit discriminates steel plate quality by index calculation and evaluation process, guarantees the reliability of steel plate quality.

Description

A strength testing device for marine engineering steel plates Technical Field

[0001] This invention relates to the field of marine engineering material testing technology, and in particular to a device for testing the strength of marine engineering steel plates. Background Technology

[0002] Marine engineering steel plates are structural steels specifically designed for shipbuilding and marine engineering. They possess high strength, high toughness, corrosion resistance, and good weldability. Marine engineering steel plates are commonly used in the manufacture of critical components such as hull structures, decks, bulkheads, offshore oil and gas drilling platforms, oil production platforms, and oil storage tanks. These steel plates need to withstand harsh wind and wave conditions and corrosion from the underwater environment for extended periods. Therefore, they require high strength to withstand heavy loads and complex stresses, high toughness to adapt to the harsh marine environment, and good corrosion resistance to extend their service life. Furthermore, marine engineering steel plates must also possess good weldability to facilitate processing during shipbuilding and repair.

[0003] Existing steel plate strength testing devices have significant shortcomings: most can only test compressive strength and cannot take into account bending performance testing, making it difficult to meet the multi-faceted performance testing needs of marine engineering steel plates; in terms of data processing and analysis, they lack the ability to deeply mine and comprehensively evaluate key data during the testing process, such as the inability to accurately determine the contact time between the pressure head and the steel plate, the vague division of the strength testing time zone, and the inability to comprehensively and accurately analyze the steel plate strength indicators and their deviation from actual production standards. Summary of the Invention

[0004] The purpose of this invention is to address the shortcomings of existing technologies by proposing a strength testing device for marine engineering steel plates.

[0005] To achieve the above objectives, the present invention adopts the following technical solution: a marine engineering steel plate strength testing device, comprising a workbench and a controller. Multiple support legs are fixedly connected to the bottom surface of the workbench. An equipment housing is installed and fixed to the rear end of the top surface of the workbench. A transmission box is installed and fixed to the front end of the equipment housing. A transmission assembly is provided between the transmission box and the equipment housing. A mounting base is installed and fixed to the front of the top surface of the workbench. The transmission assembly includes a motor, which is installed and fixed to one side of the top surface of the workbench. A worm gear is connected to one side of the motor, and the other end of the worm gear is rotatably connected to the transmission box. A pressure head is provided on one side of the transmission box.

[0006] The controller includes a data acquisition module, a data processing module, and a display and output module;

[0007] The data acquisition module is used to acquire pressure data when the pressure head applies pressure to the steel plate during the detection process via a pressure sensor.

[0008] The data processing module is used to analyze the pressure data when pressure is applied to the steel plate, obtain the analysis results, and store them. The analysis results include the contact time, the strength test time zone, and the steel plate strength analysis results. The steel plate strength analysis results include the index difference and statistical index of the steel plate, the evaluation value corresponding to the index, the normal index, and the abnormal index.

[0009] The display and output module is used to display various data during the detection process, including pressure data and analysis results.

[0010] Preferably, the rear end of the worm gear is engaged with a worm tooth, which is fixed to the threaded rod. Both ends of the threaded rod are rotatably connected to the transmission box, and a threaded seat is fitted on the outer side of the threaded rod.

[0011] Preferably, a support plate is horizontally fixed to the threaded seat, and a through hole is opened at the rear end of the support plate. The through hole is sleeved on the guide post, and the guide post is vertically installed and fixed inside the equipment housing.

[0012] Preferably, an installation sleeve is fixedly connected to the lower front end of the threaded seat, the inner side of the installation sleeve is provided with an internal thread, the inner side of the installation sleeve is threadedly connected to the top of the pressure head, and the top slot of the pressure head is provided with a pressure sensor whose top abuts against the inner top surface of the installation sleeve.

[0013] Preferably, the data processing module includes a contact state analysis unit, a steel plate strength analysis unit, and a data storage unit;

[0014] The contact state analysis unit is used to analyze the contact state between the pressure head and the steel plate, obtain the contact time between the pressure head and the steel plate, and mark the time region between the contact time and the current time as the strength detection time zone;

[0015] The steel plate strength analysis unit is used to perform state analysis on the strength of the steel plate in the strength testing time zone and obtain the steel plate strength analysis results. The steel plate strength analysis results include the index difference and statistical index of the steel plate and the evaluation value, normal index and abnormal index corresponding to the index.

[0016] The data storage unit is used to store the pressure data when the indenter applies pressure to the steel plate during the testing process, the contact time between the indenter and the steel plate, the strength testing time zone, and the steel plate strength analysis results.

[0017] Preferably, the strength of the steel plate in the strength testing time zone is analyzed in terms of its state, specifically as follows:

[0018] Obtain the pressure value applied by the indenter to the steel plate at any acquisition time within the strength monitoring time zone; extract the time length of the strength monitoring time zone and mark it as the strength testing duration;

[0019] The strength indicators of the steel plate in the strength monitoring time zone are calculated sequentially, including yield strength, ultimate strength, and modulus of elasticity.

[0020] The process involves: obtaining the production tasks for steel plates and extracting strength standard indicators from them; calculating the difference between any indicator in the strength standard indicators and the corresponding parameters of the steel plate's strength indicators; calculating statistical indicators for the difference of any indicator in the strength indicators of the steel plate within the strength monitoring time zone, including maximum, minimum, average, variance, and rate of change; weighting the difference of the indicator with all indicators in its statistical indicators to obtain the corresponding evaluation value; setting a deviation threshold for any indicator in the strength indicators; comparing the evaluation value of the indicator with its corresponding deviation threshold; if the evaluation value is greater than the deviation threshold, it indicates that the indicator deviates significantly from the expected indicator, and the indicator is marked as an abnormal indicator; conversely, if the evaluation value is less than or equal to the deviation threshold, it indicates that the indicator is within the expected range, and the indicator is marked as a normal indicator; marking steel plates with abnormal indicators as unqualified steel plates; and marking steel plates with all indicators as normal as qualified steel plates.

[0021] The differences in steel plate indices, statistical indices, corresponding evaluation values, normal indices, and abnormal indices are marked as the results of steel plate strength analysis.

[0022] Preferably, the contact state between the pressure head and the steel plate is analyzed, specifically as follows:

[0023] The device's startup time is taken as the first time, the current time is taken as the second time, and the time range between the first time and the second time is marked as the device's working time zone;

[0024] The pressure value applied by the pressure head to the steel plate at any time within the working time zone of the device is obtained; the pressure difference between any two adjacent times is calculated to obtain the adjacent pressure difference value.

[0025] The short-term pressure fluctuation value is obtained by calculating the variance of the pressure values ​​set at several previous times before the current time.

[0026] The touch shadow value is obtained by weighting the adjacent pressure difference value and the short-term pressure fluctuation value.

[0027] Set a contact threshold and compare the touch shadow value with the contact threshold. If the touch shadow value is greater than the contact threshold, it means that the previous moment in the adjacent time corresponding to the adjacent pressure difference value is the contact moment between the pressure head and the steel plate.

[0028] Preferably, the data acquisition module further includes an acoustic emission sensor for acquiring acoustic emission signals generated during the process of the pressure head applying pressure to the steel plate;

[0029] The data processing module further includes an acoustic emission signal analysis unit, used for analyzing and processing the acoustic emission signal, specifically:

[0030] Time-domain and frequency-domain analyses were performed on the acoustic emission signals to extract their characteristics, including amplitude, frequency, energy, and duration. Based on the extracted acoustic emission signal characteristics, microscopic damage modes within the steel plate were identified, including crack initiation, propagation, and dislocation movement. A correlation model was established between the acoustic emission signal characteristics and the steel plate strength indicators to predict the remaining strength and fatigue life of the steel plate at different loading stages.

[0031] The display and output module is also used to display acoustic emission signal characteristics, micro-damage pattern recognition results, predicted residual strength, and residual fatigue life information.

[0032] Compared with the prior art, the beneficial effects of the present invention are:

[0033] This invention uses a contact state analysis unit to calculate and compare pressure values, determining the instant of contact between the pressure head and the steel plate and rationally defining the strength testing time zone. This lays the analytical foundation for subsequent testing. The steel plate strength analysis unit uses index calculation and evaluation processes to determine the quality of the steel plate, ensuring its reliability. Through the collaborative work of various units and modules, high-precision, multi-dimensional testing of the strength of marine engineering steel plates is achieved, enhancing the safety and stability of engineering structures and effectively reducing engineering risks caused by steel plate quality problems. Attached Figure Description

[0034] The accompanying drawings, which are included to provide a further understanding of the invention and form part of this application, illustrate exemplary embodiments of the invention and are used to explain the invention, but do not constitute an undue limitation of the invention.

[0035] Figure 1 is a three-dimensional schematic diagram of the overall appearance of the device proposed in this invention;

[0036] Figure 2 is a front view of the overall appearance of the device proposed in this invention;

[0037] Figure 3 is a side view of the overall appearance of the device proposed in this invention;

[0038] Figure 4 is a three-dimensional schematic diagram of the transmission component structure proposed in this invention;

[0039] Figure 5 is a cross-sectional schematic diagram of the transmission component structure proposed in this invention;

[0040] Figure 6 is a block diagram of the controller proposed in this invention.

[0041] In the diagram, the numbers represent: 1. Workbench; 2. Equipment housing; 3. Transmission box; 4. Mounting base; 5. Motor; 6. Data sheet; 7. Worm gear; 8. Worm tooth; 9. Threaded rod; 10. Threaded seat; 11. Support plate; 12. Mounting sleeve; 13. Pressure head. Detailed Implementation

[0042] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments.

[0043] As shown in Figures 1-6, the present invention provides a marine engineering steel plate strength testing device, which includes a workbench 1 and a controller. Multiple support feet are fixed around the bottom surface of the workbench 1. An equipment shell 2 is installed and fixed at the rear end of the top surface of the workbench 1. A transmission box 3 is installed and fixed at the front end of the equipment shell 2. A transmission assembly is provided between the transmission box 3 and the equipment shell 2. A mounting base 4 is installed and fixed at the front of the top surface of the workbench 1. A circular groove is opened on the top surface of the mounting base 4, and a base is installed in the groove. A data table 6 is installed on the transmission assembly. The data table 6 is installed on the support plate 11 in the transmission assembly. A pressure head 13 is provided on one side of the transmission box 3.

[0044] The controller includes a data acquisition module, a data processing module, and a display and output module;

[0045] The data acquisition module is used to collect pressure data when the pressure head 13 applies pressure to the steel plate during the detection process via a pressure sensor;

[0046] The data processing module is used to analyze the pressure data when pressure is applied to the steel plate, obtain the analysis results, and store them. The analysis results include the contact time, the strength test time zone, and the steel plate strength analysis results. The steel plate strength analysis results include the index difference and statistical index of the steel plate, the evaluation value of the index, the normal index, and the abnormal index.

[0047] The display and output module is used to display various data during the detection process, including pressure data and analysis results. It is applied to data table 6 to display various data during the monitoring process.

[0048] Working principle: When using this invention, first power is supplied to all electrical equipment. Then, the target steel plate for marine engineering is placed flat on the base of the mounting seat 4. After the operator issues a detection signal, the start motor 5 is controlled. The motor 5 drives the worm gear 7 to rotate, which in turn drives the worm tooth 8 behind the worm gear 7, which in turn drives the threaded rod 9 to rotate. The rotation of the threaded rod 9 can drive the threaded seat 10 sleeved on the outside to move up and down, which in turn drives the support plate 11 to move up and down under the guidance of the guide rod. The pressure head 13 at the front end of the bottom of the support plate 11 descends. By analyzing the contact state between the pressure head 13 and the steel plate, the contact time between the pressure head 13 and the steel plate is obtained. The time region between the contact time and the current time is marked as the strength detection time zone.

[0049] Then, the pressure head 13 continues to apply pressure to the steel plate until the steel plate strength test is qualified or unqualified. At the same time, the strength of the steel plate in the strength test time zone is analyzed to obtain the steel plate strength analysis results. The steel plate strength analysis results include the index difference and statistical index of the steel plate and the evaluation value corresponding to the index, normal index and abnormal index.

[0050] In this invention, the transmission assembly includes a motor 5, which is mounted and fixed on one side of the top surface of the workbench 1. A worm gear 7 is connected to one side of the motor 5, and the other end of the worm gear 7 is rotatably connected to the transmission box 3. The cooperation between the motor 5 and the worm gear 7 facilitates the transmission of the power of the motor 5. A worm tooth 8 is meshed with the rear end of the worm gear 7 and is fixed to a threaded rod 9. Both ends of the threaded rod 9 are rotatably connected to the transmission box 3. A threaded seat 10 is sleeved on the outer side of the threaded rod 9. The cooperation between the threaded rod 9 and the threaded seat 10 facilitates the control of the up and down movement of the pressure head 13. A support plate 11 is horizontally fixed to the threaded seat 10. A through hole is opened at the rear end of the support plate 11, and the through hole is sleeved on the guide post. The guide post is vertically installed and fixed inside the equipment housing 2. A mounting sleeve 12 is fixedly connected to the lower front end of the threaded seat 10. The mounting sleeve 12 has an internal thread on its inner side. The inner side of the mounting sleeve 12 is threadedly connected to the top of the pressure head 13. The top slot of the pressure head 13 is equipped with a pressure sensor that abuts against the inner top surface of the mounting sleeve 12. The cooperation of the guide post and the support plate 11 facilitates the guidance of the movement direction of the support plate 11.

[0051] In this application, the data processing module includes a contact state analysis unit, a steel plate strength analysis unit, and a data storage unit;

[0052] The contact state analysis unit is used to analyze the contact state between the pressure head 13 and the steel plate, obtain the contact time between the pressure head 13 and the steel plate, and mark the time region between the contact time and the current time as the strength detection time zone;

[0053] The steel plate strength analysis unit is used to perform state analysis on the strength of steel plates in the strength testing time zone and obtain the steel plate strength analysis results. The steel plate strength analysis results include the index difference and statistical index of the steel plate and the corresponding evaluation value, normal index and abnormal index.

[0054] The data storage unit is used to store the pressure data when the pressure head 13 applies pressure to the steel plate during the testing process, the contact time between the pressure head 13 and the steel plate, the strength testing time zone, and the steel plate strength analysis results.

[0055] In this application, the strength of the steel plate in the strength testing time zone is analyzed in terms of its state, specifically as follows:

[0056] Obtain the pressure value applied by pressure head 13 to the steel plate at any acquisition time within the strength monitoring time zone; extract the time length of the strength monitoring time zone and mark it as the strength test duration;

[0057] The strength indicators of the steel plate in the strength monitoring time zone are calculated sequentially, including yield strength, ultimate strength, and modulus of elasticity.

[0058] The process involves: obtaining the production tasks for steel plates and extracting strength standard indicators from them; calculating the difference between any indicator in the strength standard indicators and the corresponding parameters of the steel plate's strength indicators; calculating statistical indicators for the difference of any indicator in the strength indicators of the steel plate within the strength monitoring time zone, including maximum, minimum, average, variance, and rate of change; weighting the difference of the indicator with all indicators in its statistical indicators to obtain the corresponding evaluation value; setting a deviation threshold for any indicator in the strength indicators; comparing the evaluation value of the indicator with its corresponding deviation threshold; if the evaluation value is greater than the deviation threshold, it indicates that the indicator deviates significantly from the expected indicator, and the indicator is marked as an abnormal indicator; conversely, if the evaluation value is less than or equal to the deviation threshold, it indicates that the indicator is within the expected range, and the indicator is marked as a normal indicator; marking steel plates with abnormal indicators as unqualified steel plates; and marking steel plates with all indicators as normal as qualified steel plates.

[0059] The differences in steel plate indices, statistical indices, corresponding evaluation values, normal indices, and abnormal indices are marked as the results of steel plate strength analysis.

[0060] In this application, the contact state between the pressure head 13 and the steel plate is analyzed, specifically as follows:

[0061] The device's startup time is taken as the first time, the current time is taken as the second time, and the time range between the first time and the second time is marked as the device's working time zone;

[0062] The pressure value applied by the pressure head 13 to the steel plate at any time within the working time zone of the device is obtained; the pressure value at any adjacent time is calculated by the difference between the pressure values ​​at any adjacent time.

[0063] The short-term pressure fluctuation value is obtained by calculating the variance of the pressure values ​​set at several previous times before the current time.

[0064] The touch shadow value is obtained by weighting the adjacent pressure difference value and the short-term pressure fluctuation value.

[0065] Set a contact threshold and compare the touch shadow value with the contact threshold. If the touch shadow value is greater than the contact threshold, it means that the previous moment in the adjacent time corresponding to the adjacent pressure difference value is the contact moment between the pressure head 13 and the steel plate.

[0066] In this application, the data acquisition module also includes an acoustic emission sensor for acquiring acoustic emission signals generated during the process of the pressure head 13 applying pressure to the steel plate;

[0067] The data processing module further includes an acoustic emission signal analysis unit, used for analyzing and processing the acoustic emission signal, specifically:

[0068] Time-domain and frequency-domain analyses were performed on the acoustic emission signals to extract their characteristics, including amplitude, frequency, energy, and duration. Based on the extracted acoustic emission signal characteristics, microscopic damage modes within the steel plate were identified, including crack initiation, propagation, and dislocation movement. A correlation model was established between the acoustic emission signal characteristics and the steel plate strength indicators to predict the remaining strength and fatigue life of the steel plate at different loading stages.

[0069] The display and output module is also used to display acoustic emission signal characteristics, micro-damage pattern recognition results, predicted residual strength, and residual fatigue life information.

[0070] It should be further explained that a correlation model is established between the acoustic emission signal characteristics and the steel plate strength index, specifically as follows:

[0071] Acquire the acoustic emission signal characteristics of the steel plate by obtaining the acoustic emission signal characteristics of the steel plate from peers or online sellers;

[0072] A multi-layer feedforward neural network model is constructed using machine learning algorithms. The input layer consists of acoustic emission signal features, and the output layer consists of steel plate strength indicators. The model has n neurons in the input layer, m neurons in the output layer, h neurons in the hidden layer, and W as the weight matrix from the input layer to the hidden layer. ih The weight matrix from the hidden layer to the output layer is W. ho ;

[0073] The activation function of the hidden layer uses the ReLU function. Among them, b h This represents the bias of the hidden layer, and the output of the output layer is... Among them, b o The output layer bias is represented by T, which represents the weight matrix after transpose. The weights and biases are then adjusted using the backpropagation algorithm to minimize the loss function.

[0074] The processed acoustic emission signal feature data and the corresponding steel plate strength index data are divided into training set and test set according to a preset ratio; the multi-layer feedforward neural network is trained using the training set, and the model parameters are adjusted until the loss function of the model on the training set reaches the minimum.

[0075] The trained model is validated using a test set, and its performance metrics, including prediction accuracy and mean squared error, are calculated. The performance evaluation value of the model is obtained by weighting all the performance metrics.

[0076] The acoustic emission signal characteristics of the input steel plate are fed into a multilayer feedforward neural network model to predict the residual strength and fatigue life of the steel plate at different loading stages, specifically:

[0077] For residual intensity prediction, let the acoustic emission signal characteristics of the current loading stage be X. current The current intensity index prediction value Y is obtained through a multi-layer feedforward neural network model. current According to the strength degradation law of materials, the Paris formula specifically describes the relationship between crack propagation and fatigue life, expressed as: da / dN=C(ΔK) v Where da / dN is the crack propagation rate, C and v are material constants, and ΔK represents the stress intensity factor; obtain the crack state information of the steel plate, including crack location, crack size, crack morphology, and number of cracks; weight the crack propagation rate with any parameter of the crack state information to obtain the predicted residual strength;

[0078] For fatigue life prediction, the cumulative damage degree D is calculated based on Miner's linear cumulative damage theory. Where ni represents the number of cycles at stress level i, and Ni represents the fatigue life at stress level i; when the cumulative damage degree D = 1, it means that the predicted fatigue life has been reached. The moment when D = 1 is marked as the predicted fatigue life termination moment, and then the time length between the predicted fatigue life termination moment and the current moment is calculated as the predicted remaining fatigue life.

[0079] The number of iterations, ni, can be obtained in the following way:

[0080] Stress sensors are installed on the structure whose fatigue life is to be predicted to monitor and collect stress data of the structure under actual working conditions in real time. The collected stress data is analyzed and processed to extract different stress levels and their corresponding cycle numbers.

[0081] Ni represents the fatigue life at the i-th stress level, and it is obtained as follows:

[0082] This method employs a combination of fatigue testing techniques, including but not limited to traditional fatigue testing, accelerated fatigue testing, and high- and low-cycle combined fatigue testing. Traditional fatigue testing yields fatigue life data under different stress levels. Accelerated fatigue testing, by increasing the test stress level or loading frequency, obtains fatigue life data of materials under high stress levels in a shorter time, which is then converted to the fatigue life under actual working stress levels based on a specific life prediction model. High- and low-cycle combined fatigue testing simulates the real-world conditions of structures simultaneously experiencing high-cycle fatigue (low stress, high cycle count) and low-cycle fatigue (high stress, low cycle count) in engineering projects, thus obtaining fatigue life data that more closely reflects actual working conditions.

[0083] Calculate the fatigue life statistic for any fatigue testing method, including the mean, standard deviation, and confidence interval; then weight all parameters in the statistic to obtain the fatigue life corresponding to the fatigue testing method.

[0084] Then, the fatigue life corresponding to the traditional fatigue test, accelerated fatigue test and high-low cycle combined fatigue test is weighted to obtain the fatigue life under the i-th stress level.

[0085] It should be noted that by utilizing acoustic emission sensors and analysis units, microscopic damage inside steel plates can be monitored and identified, including crack initiation and propagation. At the same time, by combining correlation models with machine learning algorithms, the remaining strength and fatigue life at different loading stages can be predicted.

[0086] By constructing a multi-layer feedforward neural network, using the ReLU activation function and backpropagation algorithm, the model is trained and validated by dividing the training set and test set, and performance indicators are calculated and weighted for evaluation to ensure the accuracy and reliability of the model.

[0087] For residual strength prediction, crack propagation rate, state information, and Paris formula are comprehensively considered; for fatigue life prediction, Miner theory is used, combined with stress sensor monitoring and various fatigue test methods, and weighted processing of test statistics is considered to make the prediction more consistent with actual working conditions.

[0088] The display and output modules present acoustic emission characteristics, damage identification results, strength and life prediction information, providing comprehensive and accurate information for steel plate performance evaluation and maintenance decisions in marine engineering, ensuring structural safety and extending service life.

[0089] The above are merely preferred embodiments of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A strength testing device for marine engineering steel plates, comprising a workbench (1) and a controller, characterized in that, The workbench (1) has multiple support feet fixed around its bottom surface. A device housing (2) is fixedly mounted on the rear end of the top surface of the workbench (1). A transmission box (3) is fixedly mounted on the front end of the device housing (2). A transmission assembly is provided between the transmission box (3) and the device housing (2). A mounting base (4) is fixedly mounted in front of the top surface of the workbench (1). The transmission assembly includes a motor (5), which is fixedly mounted on one side of the top surface of the workbench (1). A worm gear (7) is connected to one side of the motor (5), and the other end of the worm gear (7) is rotatably connected to the transmission box (3). A pressure head (13) is provided on one side of the transmission box (3); the controller includes a data acquisition module, a data processing module, and a display and output module; the data acquisition module is used to acquire pressure data when the pressure head (13) applies pressure to the steel plate during the detection process through a pressure sensor; the data processing module is used to analyze the pressure data when the pressure is applied to the steel plate to obtain analysis results and store them; the analysis results include contact time, strength detection time zone, and steel plate strength analysis results, and the steel plate strength analysis results include the index difference and statistical index of the steel plate and the evaluation value corresponding to the index, normal index and abnormal index. Indicators; the data processing module includes a contact state analysis unit; the contact state analysis unit is used to analyze the contact state between the pressure head (13) and the steel plate, obtain the contact time between the pressure head (13) and the steel plate, and mark the time region between the contact time and the current time as the strength detection time zone; wherein, the analysis of the contact state between the pressure head (13) and the steel plate is specifically as follows: the start time of the device is taken as the first time, the current time is taken as the second time, and the time region between the first time and the second time is marked as the device working time zone; the pressure head (13) at any time within the device working time zone is obtained. 3) The pressure value applied to the steel plate; calculate the difference between the pressure values ​​at any adjacent time to obtain the adjacent pressure difference value; calculate the variance of the pressure values ​​at several times set before the current time to obtain the short-term pressure fluctuation value; calculate the weighted value of the adjacent pressure difference value and the short-term pressure fluctuation value to obtain the touch shadow value; set the contact threshold, compare the touch shadow value with the contact threshold, if the touch shadow value is greater than its contact threshold, it means that the previous moment in the adjacent time corresponding to the adjacent pressure difference value is the contact moment between the pressure head (13) and the steel plate; the display and output module is used to display various data in the detection process, including pressure data and analysis results.

2. The marine engineering steel plate strength testing device according to claim 1, characterized in that, The worm (7) is connected to the rear end of the worm gear (7) with a worm tooth (8), which is fixed to the threaded rod (9). Both ends of the threaded rod (9) are rotatably connected to the transmission box (3). The outer side of the threaded rod (9) is fitted with a threaded seat (10).

3. The marine engineering steel plate strength testing device according to claim 2, characterized in that, A support plate (11) is horizontally fixed to the threaded seat (10). A through hole is opened at the rear end of the support plate (11). The through hole is sleeved on the guide post. The guide post is vertically installed and fixed inside the equipment housing (2).

4. The marine engineering steel plate strength testing device according to claim 2, characterized in that, The threaded seat (10) is fixedly connected to the lower front end of the mounting sleeve (12). The mounting sleeve (12) has an internal thread on its inner side. The inner side of the mounting sleeve (12) is threadedly connected to the top of the pressure head (13). The top slot of the pressure head (13) is provided with a pressure sensor whose top abuts against the inner top surface of the mounting sleeve (12).

5. The marine engineering steel plate strength testing device according to claim 1, characterized in that, The data processing module includes a steel plate strength analysis unit and a data storage unit. The steel plate strength analysis unit is used to perform state analysis on the strength of the steel plate in the strength detection time zone to obtain the steel plate strength analysis results. The steel plate strength analysis results include the index difference and statistical index of the steel plate and the evaluation value corresponding to the index, normal index and abnormal index. The data storage unit is used to store the pressure data when the pressure head (13) applies pressure to the steel plate during the detection process, the contact time between the pressure head (13) and the steel plate, the strength detection time zone and the steel plate strength analysis results.

6. The marine engineering steel plate strength testing device according to claim 5, characterized in that, The strength of the steel plate in the strength testing time zone is analyzed in the following ways: The pressure value of the pressure head (13) and the pressure applied to the steel plate at any acquisition time within the strength monitoring time zone is obtained; the time length of the strength monitoring time zone is extracted and marked as the strength testing duration; the strength indicators of the steel plate in the strength monitoring time zone are calculated sequentially, including yield strength, ultimate strength, and elastic modulus; the production task of the steel plate is obtained, and the strength standard indicators are extracted from the production task; the difference between any indicator in the strength standard indicators and the corresponding parameter of the strength indicator of the steel plate is calculated to obtain the indicator difference value; the statistical indicators of the indicator difference value of any indicator in the strength indicators of the steel plate in the strength monitoring time zone are calculated, including the maximum value, minimum value, average value, variance, and rate of change; the indicator difference value corresponding to the indicator is compared with its statistical value. The weighted calculation of all indicators in the strength index yields the corresponding evaluation value. A deviation threshold is set for any indicator in the strength index. The evaluation value of the indicator is compared with its corresponding deviation threshold. If the evaluation value is greater than the deviation threshold, it indicates a large deviation between the evaluation value and the expected indicator, and the indicator is marked as an abnormal indicator. Conversely, if the evaluation value is less than or equal to the deviation threshold, it indicates that the indicator is within the expected range, and the indicator is marked as a normal indicator. Steel plates with abnormal indicators are marked as unqualified steel plates. If all indicators of the steel plate are normal, the steel plate is marked as qualified steel plate. The difference between the steel plate's indicators, the statistical indicators, the corresponding evaluation values, and the normal and abnormal indicators are marked as the steel plate strength analysis results.

7. The marine engineering steel plate strength testing device according to claim 1, characterized in that, The data acquisition module also includes an acoustic emission sensor for acquiring acoustic emission signals generated during the pressure applied to the steel plate by the pressure head (13); the data processing module further includes an acoustic emission signal analysis unit for analyzing and processing the acoustic emission signals, specifically: performing time-domain and frequency-domain analysis on the acoustic emission signals, extracting acoustic emission signal features, including signal amplitude, frequency, energy and duration; identifying micro-damage modes inside the steel plate based on the extracted acoustic emission signal features, including crack initiation, propagation and dislocation movement; establishing a correlation model between the acoustic emission signal features and the steel plate strength index to predict the remaining strength and fatigue life of the steel plate at different loading stages; the display and output module is also used to display acoustic emission signal features, micro-damage mode identification results, and predicted remaining strength and remaining fatigue life information.

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