Ocean engineering steel plate strength detection device

Abstract

The invention discloses an ocean engineering steel plate strength detection device, and relates to the technical field of ocean engineering steel plate strength detection. The data processing module comprises a contact state analysis unit and a steel plate strength analysis unit; the contact state analysis unit analyzes the contact state of the pressure head and the steel plate to obtain the contact moment of the pressure head and the steel plate, and a time zone between the contact moment and the current moment is marked as an intensity detection time zone; and the steel plate strength analysis unit performs state analysis on the strength of the steel plate in the strength detection time zone to obtain a steel plate strength analysis result. The contact state analysis unit is used for calculating and comparing pressure values, the contact moment of the pressure head and the steel plate is determined, a strength detection time zone is reasonably delimited, an analysis foundation is laid for subsequent detection, the steel plate strength analysis unit judges the quality of the steel plate by means of index calculation and an evaluation process, and the reliability of the quality of the steel plate is guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of marine engineering material detection, and in particular to a marine engineering steel plate strength detection device. Background Art

[0002] Marine engineering steel plates are a type of structural steel designed specifically for ships and marine engineering, with the characteristics of high strength, high toughness, corrosion resistance and good welding performance. Marine engineering steel plates are usually used to manufacture key parts such as hull structures, decks, bulkheads, offshore oil and gas drilling platforms, oil production platforms, and oil storage tanks. These steel plates need to resist the corrosion of harsh wind and wave conditions and underwater environments for a long time, so they are required to have high strength to withstand heavy loads and complex stresses, high toughness to adapt to harsh marine environments, and good corrosion resistance to extend their service life. In addition, marine engineering steel plates must also have good welding performance to facilitate processing during ship construction and repair.

[0003] Existing steel plate strength testing devices have significant defects: most of them can only test the compressive strength, but cannot take into account the bending performance testing, and it is difficult to meet the multi-faceted performance testing needs of marine engineering steel plates; in terms of data processing and analysis, there is a lack of in-depth mining and comprehensive evaluation capabilities for key data in the testing process. For example, the contact moment between the pressure head and the steel plate cannot be accurately determined, the strength testing time zone division is vague, and it is impossible to comprehensively and accurately analyze the steel plate strength indicators and their deviations from actual production standards. Summary of the invention

[0004] The purpose of the present invention is to solve the shortcomings of the prior art and to propose a marine engineering steel plate strength detection device.

[0005] In order to achieve the above-mentioned purpose, the present invention adopts the following technical scheme: a marine engineering steel plate strength detection device, including a workbench and a controller, a plurality of supporting feet are fixedly connected around the bottom surface of the workbench, a device shell is fixedly installed on the rear end of the top surface of the workbench, a transmission box is fixedly installed on the front end of the device shell, a transmission assembly is provided between the transmission box and the device shell, and a mounting seat is fixedly installed in front of the top surface of the workbench; the transmission assembly includes a motor, the motor is fixedly installed on one side of the top surface of the workbench, a worm is connected to one side of the motor, the other end of the worm is rotatably connected to the transmission box, and 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 collect pressure data when the pressure head applies pressure to the steel plate during the detection process through the pressure sensor;

[0008] The data processing module is used to analyze the pressure data when the steel plate is subjected to pressure to obtain the analysis results and store them; the analysis results include the contact time, the strength detection time zone, and the steel plate strength analysis results; the steel plate strength analysis results include the index difference of the steel plate and the statistical index and 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 is meshingly connected with a worm tooth, the worm tooth is fixed to the threaded rod, the upper and lower ends of the threaded rod are rotatably connected to the transmission box, and the outer side surface of the threaded rod is sleeved with a threaded seat.

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

[0012] Preferably, a mounting sleeve is fixedly connected below the front end of the threaded seat, an internal thread is provided on the inner side of the mounting sleeve, the inner side of the mounting sleeve is threadedly connected to the top of the pressure head, and a pressure sensor is provided at the top notch of the pressure head, the top of the pressure head abuts against the inner top surface of the mounting 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 moment between the pressure head and the steel plate, and mark the time zone between the contact moment and the current moment 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 detection time zone to obtain a steel plate strength analysis result; the steel plate strength analysis result includes an index difference value and a statistical index of the steel plate and an evaluation value corresponding to the index, a normal index and an abnormal index;

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

[0017] Preferably, the strength of the steel plate in the strength detection time zone is analyzed in a state, specifically:

[0018] Obtain the pressure value applied by the pressure head and the steel plate at any sampling time in the strength monitoring time zone; extract the time length of the strength monitoring time zone and mark it as the strength detection time length;

[0019] Calculate the strength indicators of the steel plate in the strength monitoring time zone in sequence, including yield strength, ultimate strength, and elastic modulus;

[0020] Obtain the production task of the steel plate, and extract the strength standard index from the production task; perform difference calculation between any index in the strength standard index and the parameter corresponding to the strength index of the steel plate to obtain the index difference corresponding to the index; calculate the statistical index of the index difference of any index in the strength index of the steel plate in the strength monitoring time zone, including the maximum value, minimum value, average value, variance, and change rate; perform weighted calculation on the index difference corresponding to the index and all the indexes in its statistical index to obtain the evaluation value corresponding to the index; set the deviation threshold corresponding to any index in the strength index, and compare the evaluation value corresponding to the index with its corresponding deviation threshold. If the evaluation value is greater than its deviation threshold, it means that the index corresponding to the evaluation value deviates greatly from the expected index, and the index is marked as an abnormal index; conversely, if the evaluation value is less than or equal to its deviation threshold, it means that the index corresponding to the evaluation value is within the expected range, and the index is marked as a normal index; mark the steel plate with abnormal indicators as unqualified steel plates; if all indicators of the steel plate are normal indicators, mark the steel plate as qualified steel plate;

[0021] The index difference of the steel plate, the statistical index, the evaluation value corresponding to the index, the normal index and the abnormal index are marked as the steel plate strength analysis result.

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

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

[0024] Obtain the pressure value applied by the pressure head to the steel plate at any time in the working time zone of the device; calculate the difference between the pressure values ​​at any adjacent time to obtain the adjacent pressure difference value;

[0025] The short-term pressure fluctuation value is obtained by performing variance calculation on the pressure values ​​at several moments set before the current moment;

[0026] The touch shadow value is obtained by weighted calculation of the adjacent pressure difference value and the short-term pressure fluctuation value;

[0027] The contact threshold is set, and the touch shadow value is compared with the contact threshold. If the touch shadow value is greater than the contact threshold, it means that the previous moment in the adjacent moments 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 comprises an acoustic emission sensor for collecting acoustic emission signals generated during the process in which the pressure head applies pressure to the steel plate;

[0029] The data processing module further includes an acoustic emission signal analysis unit, which is used to analyze and process the acoustic emission signal, specifically:

[0030] Perform time domain and frequency domain analysis on the acoustic emission signal to extract the characteristics of the acoustic emission signal, including the amplitude, frequency, energy and duration of the signal; identify the microscopic damage mode inside the steel plate, including crack initiation, expansion and dislocation movement, based on the extracted acoustic emission signal characteristics; establish a correlation model between the acoustic emission signal characteristics and the steel plate strength index to predict the residual 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, microscopic damage pattern recognition results, predicted residual strength and residual fatigue life information.

[0032] Compared with the prior art, the present invention has the following beneficial effects:

[0033] The present invention uses the contact state analysis unit to calculate and compare the pressure values, determine the moment when the pressure head contacts the steel plate and reasonably define the strength detection time zone, laying an analysis foundation for subsequent detection. The steel plate strength analysis unit relies on the indicator calculation and evaluation process to judge the quality of the steel plate, thereby ensuring the reliability of the steel plate quality. Through the coordinated work of various units and modules, high-precision and full-dimensional detection of the strength of marine engineering steel plates is achieved, thereby enhancing the safety and stability of engineering structures and effectively reducing engineering risks caused by steel plate quality problems. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] The drawings described herein are used to provide further understanding of the present invention and constitute a part of this application. The illustrative embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations on the present invention.

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

[0036] Figure 2 This is a schematic front view of the overall appearance of the device proposed by the present invention;

[0037] Figure 3 A schematic side view of the overall appearance of the device proposed by the present invention;

[0038] Figure 4 It is a three-dimensional schematic diagram of the transmission assembly structure proposed by the present invention;

[0039] Figure 5 It is a schematic cross-sectional view of the transmission assembly structure proposed by the present invention;

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

[0041] The serial numbers in the figure are: 1. workbench; 2. equipment shell; 3. transmission box; 4. mounting base; 5. motor; 6. data sheet; 7. worm; 8. worm gear; 9. threaded rod; 10. threaded base; 11. support plate; 12. mounting sleeve; 13. pressure head. DETAILED DESCRIPTION

[0042] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0043] For example, see Figure 1-Figure 6 , a marine engineering steel plate strength detection device in the present invention comprises a workbench 1 and a controller, a plurality of supporting feet are fixedly connected around the bottom surface of the workbench 1, a device shell 2 is fixedly installed at the rear end of the top surface of the workbench 1, a transmission box 3 is fixedly installed at the front end of the device shell 2, a transmission assembly is arranged between the transmission box 3 and the device shell 2, a mounting seat 4 is fixedly installed in front of the top surface of the workbench 1, a circular groove is opened on the top surface of the mounting seat 4, a base is matched and installed in the groove, a data table 6 is installed on the transmission assembly, and the data table 6 is installed on the support plate 11 in the transmission assembly, and a pressure head 13 is arranged 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 through the pressure sensor;

[0046] The data processing module is used to analyze the pressure data when the steel plate is subjected to pressure to obtain the analysis results and store them; the analysis results include the contact time, the strength detection 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 and the evaluation value corresponding to the index, normal index and abnormal index;

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

[0048] Working principle: When the present invention is used, firstly, power is supplied to all electrical equipment, and then the target steel plate of the marine engineering project is placed flat on the base on the mounting seat 4. After the operator sends a detection signal, the control starts the motor 5, and the motor 5 drives the worm 7 to rotate, thereby driving the worm gear 8 behind the worm 7, thereby driving 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, thereby driving the support plate 11 to move up and down under the guidance of the guide rod, and the pressure head 13 at the front end of the bottom of the support plate 11 descends. By analyzing the contact state of the pressure head 13 and the steel plate, the contact moment of the pressure head 13 and the steel plate is obtained, and the time area between the contact moment and the current moment is marked as the strength detection time zone;

[0049] Then the pressure head 13 continues to pressurize the steel plate until the steel plate strength test is qualified or unqualified, and 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 result; the steel plate strength analysis result includes 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 the present invention, the transmission assembly includes a motor 5, which is installed and fixed on one side of the top surface of the workbench 1. A worm 7 is connected to one side of the motor 5, and the other end of the worm 7 is rotatably connected to the transmission box 3. The cooperation between the motor 5 and the worm 7 facilitates the transmission of the power of the motor 5; the rear end of the worm 7 is meshingly connected with a worm tooth 8, which is fixedly connected to a threaded rod 9. The upper and lower 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, and a through hole is opened at the rear end of the support plate 11. The through hole is sleeved on a guide column, and the guide column is vertically installed and fixed in the equipment shell 2. A mounting sleeve 12 is fixedly connected to the lower front end of the threaded seat 10, and an internal thread is provided on the inner side of the mounting sleeve 12. The inner side of the mounting sleeve 12 is threadedly connected to the top of the pressure head 13. A pressure sensor is provided at the top groove of the pressure head 13, and the top of the pressure head 13 abuts against the inner top surface of the mounting sleeve 12. The cooperation of the guide column and the support plate 11 facilitates guiding the movement direction of the support plate 11.

[0051] In the present 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 moment between the pressure head 13 and the steel plate, and mark the time zone between the contact moment and the current moment as the strength detection time zone;

[0053] 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 result; the steel plate strength analysis result includes the index difference and statistical index of the steel plate and the evaluation value corresponding to the index, 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 detection process, the contact time of the pressure head 13 and the steel plate, the strength detection time zone and the steel plate strength analysis result.

[0055] In this application, the strength of the steel plate in the strength detection time zone is analyzed, specifically:

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

[0057] Calculate the strength indicators of the steel plate in the strength monitoring time zone in sequence, including yield strength, ultimate strength, and elastic modulus;

[0058] Obtain the production task of the steel plate, and extract the strength standard index from the production task; perform difference calculation between any index in the strength standard index and the parameter corresponding to the strength index of the steel plate to obtain the index difference corresponding to the index; calculate the statistical index of the index difference of any index in the strength index of the steel plate in the strength monitoring time zone, including the maximum value, minimum value, average value, variance, and change rate; perform weighted calculation on the index difference corresponding to the index and all the indexes in its statistical index to obtain the evaluation value corresponding to the index; set the deviation threshold corresponding to any index in the strength index, and compare the evaluation value corresponding to the index with its corresponding deviation threshold. If the evaluation value is greater than its deviation threshold, it means that the index corresponding to the evaluation value deviates greatly from the expected index, and the index is marked as an abnormal index; conversely, if the evaluation value is less than or equal to its deviation threshold, it means that the index corresponding to the evaluation value is within the expected range, and the index is marked as a normal index; mark the steel plate with abnormal indicators as unqualified steel plates; if all indicators of the steel plate are normal indicators, mark the steel plate as qualified steel plate;

[0059] The index difference of the steel plate, the statistical index, the evaluation value corresponding to the index, the normal index and the abnormal index are marked as the steel plate strength analysis result.

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

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

[0062] Obtain the pressure value applied by the pressure head 13 to the steel plate at any time in the working time zone of the device; calculate the difference between the pressure values ​​at any adjacent time to obtain the adjacent pressure difference value;

[0063] The short-term pressure fluctuation value is obtained by performing variance calculation on the pressure values ​​at several moments set before the current moment;

[0064] The touch shadow value is obtained by weighted calculation of the adjacent pressure difference value and the short-term pressure fluctuation value;

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

[0066] In the present application, the data acquisition module also includes an acoustic emission sensor for collecting acoustic emission signals generated during the process in which the pressure head 13 applies pressure to the steel plate;

[0067] The data processing module further includes an acoustic emission signal analysis unit, which is used to analyze and process the acoustic emission signal, specifically:

[0068] Perform time domain and frequency domain analysis on the acoustic emission signal to extract the characteristics of the acoustic emission signal, including the amplitude, frequency, energy and duration of the signal; identify the microscopic damage mode inside the steel plate, including crack initiation, expansion and dislocation movement, based on the extracted acoustic emission signal characteristics; establish a correlation model between the acoustic emission signal characteristics and the steel plate strength index to predict the residual strength and fatigue life of the steel plate at different loading stages;

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

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

[0071] Obtain the acoustic emission signal characteristics of the steel plate through peers or online sellers;

[0072] A multi-layer feedforward neural network model is constructed using a machine learning algorithm. The input layer is the acoustic emission signal feature, and the output layer is the steel plate strength index. Assume that the input layer has n neurons, the output layer has m neurons, the hidden layer has h neurons, and the weight matrix from the input layer to the hidden layer is W. 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 represents the bias of the hidden layer, and the output of the output layer is Among them, b o Represents the bias of the output layer, and T represents the transposition operation of the weight matrix; the weights and biases are then adjusted through the back propagation algorithm to minimize the loss function;

[0074] The processed acoustic emission signal characteristic data and the corresponding steel plate strength index data are divided into a training set and a test set according to a preset ratio; the constructed 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 is minimized;

[0075] Use the test set to verify the trained model and calculate the model's performance indicators, including prediction accuracy, mean square error, etc.; perform weighted calculation on all indicators in the performance indicators to obtain the model's performance evaluation value;

[0076] The acoustic emission signal characteristics of the steel plate are input into the multi-layer feedforward neural network model to predict the residual strength and fatigue life of the steel plate at different loading stages. Specifically:

[0077] For the residual strength prediction, let the acoustic emission signal characteristic of the current loading stage be X current , the current strength index prediction value Y is predicted by the multi-layer feedforward neural network model current According to the strength degradation law of the material, the Paris formula describes the relationship between crack growth and fatigue life. The formula is: da / dN=C(ΔK) v , where da / dN is the crack growth rate, C and v are material constants, and ΔK represents the stress intensity factor; the crack state information of the steel plate is obtained, including the crack position, crack size, crack morphology, and crack number; the crack growth rate and any parameter of the crack state information are weighted 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 the i-th stress level, and Ni represents the fatigue life at the i-th stress level; when the cumulative damage degree D=1, it means that the predicted fatigue life is reached, and the moment when D=1 is marked as the predicted fatigue life end moment, and then the time length between the predicted fatigue life end moment and the current moment is calculated as the predicted remaining fatigue life;

[0079] The number of cycles ni can be obtained by:

[0080] Install stress sensors on the structure whose fatigue life is to be predicted, monitor and collect stress data of the structure under actual working conditions in real time, analyze and process the collected stress data, and extract different stress levels and their corresponding cycle numbers;

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

[0082] It is obtained by combining multiple fatigue test methods, including but not limited to traditional fatigue tests, accelerated fatigue tests, and high-low cycle composite fatigue tests. Fatigue life data at different stress levels are obtained through traditional fatigue tests; accelerated fatigue tests are used to obtain fatigue life data of materials at high stress levels in a relatively short time by increasing the test stress level or loading frequency, and then converted to fatigue life at the actual working stress level based on a specific life prediction model; high-low cycle composite fatigue tests are used to simulate the actual situation in which the structure in actual engineering is subjected to high cycle fatigue (low stress, high number of cycles) and low cycle fatigue (high stress, low number of cycles) at the same time, so as to obtain fatigue life data that is more in line with actual working conditions;

[0083] Calculate the statistics of fatigue life in any fatigue test method, including mean value, standard deviation, and confidence interval; weight all parameters in the statistics to obtain the fatigue life corresponding to the fatigue test 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 at the i-th stress level.

[0085] It should be noted that by using acoustic emission sensors and analysis units, the internal microscopic damage of the steel plate can be monitored and identified, including crack initiation and propagation. At the same time, the residual strength and fatigue life at different loading stages can be predicted by combining the correlation model with the machine learning algorithm.

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

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

[0088] The acoustic emission characteristics, damage identification results, strength and life prediction information are presented through the display and output modules, 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 only preferred specific implementation modes of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical solutions and inventive concepts of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A marine engineering steel plate strength detection device, comprising a workbench (1) and a controller, characterized in that: The bottom surface of the workbench (1) is fixedly connected to a plurality of supporting legs around the periphery; a device shell (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 shell (2); a transmission assembly is provided between the transmission box (3) and the device shell (2); a mounting seat (4) is fixedly mounted in front of the top surface of the workbench (1); the transmission assembly comprises a motor (5); the motor (5) is fixedly mounted on one side of the top surface of the workbench (1); a worm (7) is connected to one side of the motor (5); the other end of the worm (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 the pressure sensor; The data processing module is used to analyze the pressure data when the steel plate is subjected to pressure to obtain the analysis results and store them; the analysis results include the contact time, the strength detection time zone, and the steel plate strength analysis results; the steel plate strength analysis results include the index difference of the steel plate and the statistical index and the evaluation value corresponding to the index, the normal index and the abnormal index; The display and output module is used to display various data during the detection process, including pressure data and analysis results.

2. The marine engineering steel plate strength detection device according to claim 1, characterized in that: The rear end of the worm (7) is meshingly connected with a worm tooth (8), the worm tooth (8) is fixedly connected to a threaded rod (9), the upper and lower ends of the threaded rod (9) are rotatably connected to the transmission box (3), and the outer side surface of the threaded rod (9) is sleeved with a threaded seat (10).

3. The marine engineering steel plate strength detection device according to claim 2, characterized in that: A support plate (11) is horizontally fixedly connected 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 a guide column, and the guide column is vertically installed and fixed in the equipment shell (2).

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

5. The marine engineering steel plate strength detection device according to claim 1, characterized in that: The data processing module includes a contact state analysis unit, a steel plate strength analysis unit, and a data storage 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 moment between the pressure head (13) and the steel plate, and mark the time zone between the contact moment and the current moment as the strength detection time zone; 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 a steel plate strength analysis result; the steel plate strength analysis result includes an index difference value and a statistical index of the steel plate and an evaluation value corresponding to the index, a normal index and an abnormal index; The data storage unit is used to store 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 result.

6. The marine engineering steel plate strength detection device according to claim 5, characterized in that: The strength of the steel plate in the strength detection time zone is analyzed, specifically: Obtain the pressure value applied by the pressure head (13) and the steel plate at any sampling time in the strength monitoring time zone; extract the time length of the strength monitoring time zone and mark it as the strength detection time length; Calculate the strength indicators of the steel plate in the strength monitoring time zone in sequence, including yield strength, ultimate strength, and elastic modulus; Obtain the production task of the steel plate, and extract the strength standard index from the production task; perform difference calculation between any index in the strength standard index and the parameter corresponding to the strength index of the steel plate to obtain the index difference corresponding to the index; calculate the statistical index of the index difference of any index in the strength index of the steel plate in the strength monitoring time zone, including the maximum value, minimum value, average value, variance, and change rate; perform weighted calculation on the index difference corresponding to the index and all the indexes in its statistical index to obtain the evaluation value corresponding to the index; set the deviation threshold corresponding to any index in the strength index, and compare the evaluation value corresponding to the index with its corresponding deviation threshold. If the evaluation value is greater than its deviation threshold, it means that the index corresponding to the evaluation value deviates greatly from the expected index, and the index is marked as an abnormal index; conversely, if the evaluation value is less than or equal to its deviation threshold, it means that the index corresponding to the evaluation value is within the expected range, and the index is marked as a normal index; mark the steel plate with abnormal indicators as unqualified steel plates; if all indicators of the steel plate are normal indicators, mark the steel plate as qualified steel plate; The index difference of the steel plate, the statistical index, the evaluation value corresponding to the index, the normal index and the abnormal index are marked as the steel plate strength analysis result.

7. The marine engineering steel plate strength detection device according to claim 5, characterized in that: The contact state between the pressure head (13) and the steel plate is analyzed, and the specific analysis is as follows: The startup time of the device is taken as the first time, the current time is taken as the second time, and the time zone between the first time and the second time is marked as the working time zone of the device; Obtaining the pressure value applied by the pressure head (13) to the steel plate at any time in the device working time zone; performing difference calculation on the pressure values ​​at any adjacent time to obtain the adjacent pressure difference value; The short-term pressure fluctuation value is obtained by performing variance calculation on the pressure values ​​at several moments set before the current moment; The touch shadow value is obtained by weighted calculation of the adjacent pressure difference value and the short-term pressure fluctuation value; A contact threshold is set, and the touch shadow value is compared with the contact threshold. If the touch shadow value is greater than the contact threshold, it means that the previous moment in the adjacent moments corresponding to the adjacent pressure difference value is the contact moment between the pressure head (13) and the steel plate.

8. The marine engineering steel plate strength detection device according to claim 1, characterized in that: The data acquisition module also includes an acoustic emission sensor for collecting acoustic emission signals generated during the process of the pressure head (13) applying pressure to the steel plate; The data processing module further includes an acoustic emission signal analysis unit, which is used to analyze and process the acoustic emission signal, specifically: Perform time domain and frequency domain analysis on the acoustic emission signal to extract the characteristics of the acoustic emission signal, including the amplitude, frequency, energy and duration of the signal; identify the microscopic damage mode inside the steel plate, including crack initiation, expansion and dislocation movement, based on the extracted acoustic emission signal characteristics; establish a correlation model between the acoustic emission signal characteristics and the steel plate strength index to predict the residual 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 characteristics, microscopic damage pattern recognition results, predicted residual strength and residual fatigue life information.

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