Oil pressure monitoring system and method for compression shear testing machine based on scene analysis

Abstract

The present invention discloses an oil pressure monitoring system and method for a compression shear testing machine based on scene analysis, which belongs to the field of oil pressure monitoring and control technology. The method specifically includes: collecting relevant data of the compression shear testing machine, including oil pressure data, load data, temperature data and displacement data, and preprocessing the collected relevant data of the compression shear testing machine, classifying and extracting different scene modes according to the relevant data of the compression shear testing machine after preprocessing, the operation mode of the compression shear testing machine and external environmental conditions, establishing an oil pressure monitoring model based on scene analysis, predicting the oil pressure value in real time, and adjusting the oil pressure in real time based on the oil pressure prediction result using the oil pressure control adjustment strategy, automatically alarming for abnormal situations during the oil pressure monitoring process, and optimizing the oil pressure control adjustment strategy based on historical data collected during the test process; the present invention can calculate the oil pressure change in real time according to different test conditions, accurately adjust the oil pressure, and can adapt to different test requirements.

Description

Technical Field

[0001] The present invention belongs to the technical field of oil pressure monitoring and control, and in particular to an oil pressure monitoring system and method for a compression shear testing machine based on scene analysis. Background Art

[0002] Compression-shear testing machines are widely used in fields such as materials science, engineering, and geology to test the mechanical properties of materials under forces such as shear and compression. The testing machine's hydraulic system typically provides sufficient power to ensure stability and accuracy under various loads and test conditions. This system transmits energy through hydraulic fluid, driving the testing machine's movements, such as compression, tension, and shear.

[0003] While existing servo control oil sources offer significant energy savings compared to traditional constant-pressure oil sources, they also require sufficient overflow to maintain a stable oil pressure. This overflowing high-pressure oil converts into heat, causing the oil temperature to rise, eventually reaching the upper limit and triggering an alarm. Therefore, a high-power cooling system is required to suppress the oil temperature rise, resulting in energy waste. Summary of the Invention

[0004] In response to the shortcomings of the existing technology, the present invention proposes an oil pressure monitoring system and method for a compression shear testing machine based on scenario analysis. By performing real-time analysis of the test scenario and dynamically adjusting the oil pressure in combination with actual test conditions, the performance and reliability of the compression shear testing machine can be improved.

[0005] To achieve the above object, the present invention provides the following technical solutions:

[0006] The oil pressure monitoring method of the compression shear testing machine based on scenario analysis includes:

[0007] Collect relevant data of the compression shear testing machine, including oil pressure data, load data, temperature data and displacement data, and pre-process the collected compression shear testing machine relevant data;

[0008] According to the relevant data of the compression shear test machine after preprocessing, the operation mode of the compression shear test machine and the external environmental conditions, different scene modes are classified and extracted;

[0009] Establish an oil pressure monitoring model based on scenario analysis to predict oil pressure values in real time;

[0010] Based on the oil pressure prediction results, the oil pressure is adjusted in real time using the oil pressure control adjustment strategy;

[0011] During the oil pressure monitoring process, abnormal situations are automatically alarmed, and the oil pressure control adjustment strategy is optimized based on the historical data collected during the test.

[0012] Specifically, the classification and extraction of different scene modes include:

[0013] The test process of the compression shear testing machine is divided into four scenario stages, including loading scenario stage, unloading scenario stage, constant load scenario stage and abnormal scenario stage;

[0014] A standard model is established for each scenario stage. The specific formula is:

[0015] , , ,

[0016] Among them, P jz Indicates the oil pressure value of the compression shear tester during the loading scenario, L indicates the load of the compression shear tester, represents the regression coefficient between load and oil pressure, represents the intercept, represents the oil pressure value of the shear testing machine at time t in the unloading scenario stage, Indicates the oil pressure at the initial stage of unloading. represents the attenuation coefficient, C represents the balance oil pressure value, t represents the time, Indicates the oil pressure value of the compression shear testing machine during the constant load scenario. Indicates the stable value of oil pressure;

[0017] There are scene switches between different operation stages of the compression and shear testing machine. According to the scene switching strategy, the scene stage of the compression and shear testing machine is dynamically analyzed and judged.

[0018] Specifically, the scene switching strategy includes:

[0019] Determination of the loading scenario stage: The load of the compression shear testing machine gradually increases, and the oil pressure rises with the load of the compression shear testing machine, and it is determined that the compression shear testing machine is in the loading scenario stage;

[0020] Unloading scenario determination: The load of the compression shear testing machine decreases, the rate of load reduction exceeds the preset threshold, and when the load decreases, the oil pressure fluctuates in the opposite direction, and the compression shear testing machine is determined to be in the unloading scenario stage;

[0021] Determination of the constant load scenario stage: If the load change rate of the compression shear testing machine approaches zero, the oil pressure is stable, and the oil pressure change is less than the preset threshold, the compression shear testing machine is determined to be in the constant load scenario stage;

[0022] Abnormal scenario stage judgment: If the load change rate of the compression shear testing machine is greater than the preset threshold, and the oil pressure of the compression shear testing machine exceeds the preset threshold, or the oil pressure change rate of the compression shear testing machine greatly exceeds the preset threshold, and the load of the compression shear testing machine exceeds the preset threshold, it is judged that the compression shear testing machine is in the abnormal scenario stage.

[0023] Specifically, the oil pressure monitoring model is established based on scenario analysis to predict the oil pressure value in real time, including:

[0024] An oil pressure monitoring model is established based on scenario analysis. The specific formula is:

[0025] ,

[0026] in, represents the oil pressure monitoring model, i.e. the predicted oil pressure of the shear testing machine at time t1 in the future. 、 and Respectively represent the influence coefficients of load, temperature and displacement on oil pressure changes, represents a constant term, and Respectively represent the influence coefficients of oil viscosity and friction on oil pressure changes, 、 and They represent the feedback coefficients of the input to the oil pressure change at load, temperature and time lag sz respectively, and Respectively represent the effects of oil viscosity and friction on oil pressure, Indicates the oil pressure value of the shear tester at time t1-sz, represents external disturbance and noise terms;

[0027] Set the oil pressure safety upper and lower thresholds. If the predicted value of the oil pressure monitoring model is higher than the set oil pressure safety upper threshold, or the predicted value of the oil pressure monitoring model is lower than the set oil pressure safety lower threshold, it is determined that the oil pressure of the shear tester at time t1 is abnormal. Otherwise, there is no abnormality.

[0028] Specifically, the oil pressure is adjusted in real time based on the oil pressure prediction result using the oil pressure control adjustment strategy, including:

[0029] When the oil pressure of the compression shear testing machine is abnormal, calculate the adjustment amount of the oil pressure of the compression shear testing machine. The specific formula is:

[0030] ,

[0031] in, Indicates the adjustment amount of the oil pressure of the shear test machine. 、 and are the weight coefficients of load, displacement and temperature respectively, Indicates the oil pressure change caused by load, Indicates the change in oil pressure caused by displacement, Indicates the change in oil pressure caused by temperature;

[0032] According to the adjustment amount of the oil pressure of the compression shear tester, the compression shear tester is controlled. The servo motor group in the compression shear tester is divided into two groups, the vertical motor group and the horizontal motor group. In working condition 1, the horizontal motor group maintains idle rotation and controls the speed of the vertical motor group.

[0033] In working condition 2, the speeds of the vertical motor group and the horizontal motor group are controlled simultaneously;

[0034] In working condition three, the speed of the vertical motor group is controlled, and no control adjustment is performed on the horizontal motor group.

[0035] Specifically, the preprocessing includes: data cleaning and data standardization, wherein data cleaning removes noise from the collected data related to the compression and shear testing machine and fills in missing values;

[0036] Data standardization is used to standardize the collected data related to the compression and shear testing machine.

[0037] The oil pressure monitoring system of the compression shear testing machine based on scenario analysis is used to implement the oil pressure monitoring method of the compression shear testing machine based on scenario analysis, including: a data acquisition module, a scenario analysis module, an oil pressure prediction module, a control adjustment module and an alarm optimization module;

[0038] The data acquisition module is used to collect relevant data of the compression shear test machine, including oil pressure data, load data, temperature data and displacement data, and pre-process the collected relevant data of the compression shear test machine;

[0039] The scenario analysis module is used to classify and extract different scenario modes based on the relevant data of the compression and shear testing machine after preprocessing, the operating mode of the compression and shear testing machine, and the external environmental conditions;

[0040] The oil pressure prediction module is used to establish an oil pressure monitoring model based on scenario analysis and predict the oil pressure value in real time;

[0041] The control adjustment module is used to adjust the oil pressure in real time based on the oil pressure prediction result and using the oil pressure control adjustment strategy;

[0042] The alarm optimization module is used to automatically alarm abnormal situations during the oil pressure monitoring process and optimize the oil pressure control adjustment strategy based on the historical data collected during the test.

[0043] Specifically, the oil pressure prediction module includes: an oil pressure prediction unit and an abnormality analysis unit;

[0044] The oil pressure prediction unit is used to predict the oil pressure of the compression shear testing machine at a future moment based on the scenario analysis result;

[0045] The abnormality analysis unit is used to analyze and determine whether an abnormality occurs in the compression shear testing machine.

[0046] Specifically, the control adjustment module includes: an adjustment amount calculation unit and a control unit;

[0047] The adjustment amount calculation unit is used to calculate the adjustment amount of the oil pressure of the compression shear testing machine when an abnormal oil pressure condition occurs in the compression shear testing machine;

[0048] The control unit is used to control and adjust the compression and shear testing machine under different working conditions according to the adjustment amount of the oil pressure of the compression and shear testing machine.

[0049] Compared with the prior art, the present invention has the following beneficial effects:

[0050] 1. The present invention proposes an oil pressure monitoring method for a shear compression testing machine based on scenario analysis. The oil pressure is finely adjusted through a scenario analysis model. The oil pressure change can be calculated in real time according to different test conditions, such as load changes, displacement adjustments, temperature fluctuations, etc., and the oil pressure can be adjusted accurately. This method can adapt to different test requirements and avoid errors caused by oil pressure fluctuations.

[0051] 2. The present invention proposes an oil pressure monitoring method for a compression and shear testing machine based on scenario analysis, which effectively avoids energy waste while ensuring test accuracy. When the load is small or the speed is low, the oil pressure adjustment range can be automatically reduced to avoid unnecessary energy consumption. At the same time, during high-load or high-speed tests, the oil pressure can be increased in time to ensure the normal operation of the equipment, thereby improving energy utilization efficiency and reducing operating costs.

[0052] 3. The present invention proposes an oil pressure monitoring method for a compression shear testing machine based on scenario analysis. A servo motor is equipped with a gear pump, and the output signal of the servo valve is used to control the servo motor speed to meet the oil supply demand under different working conditions. The servo motor speed changes with the oil supply demand. The control accuracy is high and there is only very little overflow. Only a small power air cooling device is required to meet the cooling demand. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] Figure 1 Flowchart of the oil pressure monitoring method for a compression shear testing machine based on scenario analysis provided by the present invention;

[0054] Figure 2 This is an architecture diagram of the oil pressure monitoring system for the shear testing machine based on scenario analysis provided by the present invention. DETAILED DESCRIPTION

[0055] The present application is described in detail below with reference to specific embodiments. The following embodiments will help those skilled in the art to further understand the present application, but are not intended to limit the present application in any form. It should be noted that those skilled in the art may make several variations and improvements without departing from the scope of the present application. These all fall within the scope of protection of the present application.

[0056] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0057] It should be noted that, if there is no conflict, the various features in the embodiments of the present application can be combined with each other and are all within the scope of protection of the present application. In addition, although the functional modules are divided in the device schematic and the logical order is shown in the flow chart, in some cases, the steps shown or described can be performed in a different order than the module division in the device or the order in the flow chart. In addition, the "

[0058] The words "first", "second", "third", etc. do not limit the data and execution order, but only distinguish the same or similar items with basically the same functions and effects.

[0059] Unless otherwise defined, all technical and scientific terms used in this specification have the same meanings as those commonly understood by those skilled in the art to which this application belongs. The terms used in this specification and in the specification of this application are only for the purpose of describing specific embodiments and are not intended to limit this application. The term "and / or" as used in this specification includes any and all combinations of one or more of the relevant listed items.

[0060] Example 1

[0061] See also Figure 1 The present invention provides an embodiment of a method for monitoring oil pressure of a compression shear test machine based on scene analysis, comprising the following specific steps:

[0062] Step S1: collecting relevant data of the compression shear testing machine, including oil pressure data, load data, temperature data, displacement data, etc., and preprocessing the collected relevant data of the compression shear testing machine;

[0063] Data collection uses sensors, including: oil pressure sensor, load sensor, temperature sensor and displacement sensor; Oil pressure sensor: installed at the key position of the oil pressure system, collects oil pressure data in real time. The sensor should have high sensitivity and a wide measurement range to capture subtle changes in oil pressure; Load sensor: collects the load applied during the loading process of the compression and shear testing machine. Strain gauge sensors or force sensors are usually used to obtain the loading force in real time; Temperature sensor: monitors the oil temperature during the test. Temperature changes will affect the oil pressure, so it must be recorded in real time; Displacement sensor: used to detect the displacement of the loading device during the test and understand the specific situation of the load application.

[0064] The preprocessing includes: data cleaning and data standardization. Data cleaning removes noise from the data and fills in missing values. Data standardization standardizes the data so that they can be compared under the same dimension to ensure the fusion of data from different sensors.

[0065] Denoising can be done by using methods such as Kalman filtering or wavelet transform.

[0066] Step S2: classifying and extracting different scene modes based on the relevant data of the compression shear testing machine after preprocessing, the operation mode of the compression shear testing machine, and the external environmental conditions;

[0067] The specific steps of step S2 are:

[0068] Step S201: Divide the test process of the compression shear testing machine into four scenario stages, including: a loading scenario stage, an unloading scenario stage, a constant load scenario stage, and an abnormal scenario stage;

[0069] Step S202: Establish a standard model for each scene stage. The specific formula is:

[0070] , , ,

[0071] Among them, P jz Indicates the oil pressure value of the compression shear tester during the loading scenario, L indicates the load of the compression shear tester, represents the regression coefficient between load and oil pressure, represents the intercept, represents the oil pressure value of the shear testing machine at time t in the unloading scenario stage, Indicates the oil pressure at the initial stage of unloading. represents the attenuation coefficient, C represents the balance oil pressure value, t represents the time, Indicates the oil pressure value of the compression shear testing machine during the constant load scenario. Indicates the stable value of oil pressure;

[0072] and These are all coefficients obtained through regression of experimental data. During the loading stage, the oil pressure rises linearly or nonlinearly with the increase of load, and the relationship between oil pressure and load usually follows a certain load-oil pressure formula; during the unloading process, the oil pressure rebound will show a dynamic behavior different from that during loading, which may be affected by the internal rebound effect of the system. The oil pressure change during the unloading process needs to be described by an exponential decay model; when the load reaches a certain value, the oil pressure tends to stabilize, and the oil pressure should remain constant at this time. In the constant load stage, the oil pressure changes very little, so the relationship between oil pressure and load can be regarded as a constant; the abnormal stage includes equipment failure, oil leakage, oil pressure mutation, etc. These abnormalities are usually manifested as rapid changes in oil pressure and may not be described by a simple mathematical model. Anomaly detection algorithms are usually used in this stage. The basic idea of anomaly detection is to train an oil pressure model under normal conditions through historical data, and use this model to predict real-time data. Once the prediction error exceeds the set threshold, it is considered that an abnormality has occurred;

[0073] Step S203: There is scene switching between different operation stages of the compression and shear testing machine. According to the scene switching strategy, the scene stage of the compression and shear testing machine is dynamically analyzed and judged.

[0074] The scene switching strategy in step S203 includes:

[0075] Determination of the loading scenario stage: The load of the compression shear testing machine gradually increases, and the oil pressure rises with the load of the compression shear testing machine, and it is determined that the compression shear testing machine is in the loading scenario stage;

[0076] Unloading scenario determination: The load of the compression shear testing machine decreases, the rate of load reduction exceeds the preset threshold, and when the load decreases, the oil pressure fluctuates in the opposite direction (i.e., the oil pressure temporarily rises and then falls back), the compression shear testing machine is determined to be in the unloading scenario stage;

[0077] In this embodiment, the main difference between the loading phase and the unloading phase lies in the direction of load change and the trend of oil pressure change. In the loading phase, the load gradually increases, and the oil pressure rises accordingly; while in the unloading phase, the load gradually decreases, and the oil pressure has a different response, and rebound may occur.

[0078] Determination of the constant load scenario stage: If the load change rate of the compression shear testing machine approaches zero, the oil pressure is stable, and the oil pressure change is less than the preset threshold, the compression shear testing machine is determined to be in the constant load scenario stage;

[0079] In this embodiment, the main difference between the unloading stage and the constant load stage lies in the load variation state. In the unloading stage, the load gradually decreases, while in the constant load stage, the load remains constant, and the oil pressure remains stable according to the load variation law.

[0080] Abnormal scenario stage judgment: If the load change rate of the compression shear testing machine is greater than the preset threshold, and the oil pressure of the compression shear testing machine exceeds the preset threshold, or the oil pressure change rate of the compression shear testing machine greatly exceeds the preset threshold, and the load of the compression shear testing machine exceeds the preset threshold, it is judged that the compression shear testing machine is in the abnormal scenario stage.

[0081] In this embodiment, the oil pressure change in the abnormal stage is usually manifested as a sudden oil pressure fluctuation, or an abnormal phenomenon caused by factors such as equipment failure and oil leakage, which is usually accompanied by abnormal load changes and large oil pressure fluctuations; if the oil pressure abnormality has been repaired, the load change rate returns to the normal range, and the oil pressure fluctuation returns to the normal range, or the oil pressure returns to the normal fluctuation range without large fluctuations, it is determined that the compression and shear testing machine has returned to normal working condition.

[0082] Step S3: Establishing an oil pressure monitoring model based on scenario analysis to predict the oil pressure value in real time;

[0083] The specific steps of step S3 are:

[0084] Step S301: Establish an oil pressure monitoring model based on scenario analysis. The specific formula is:

[0085] ,

[0086] in, represents the oil pressure monitoring model, i.e. the predicted oil pressure of the shear testing machine at time t1 in the future. 、 and Respectively represent the influence coefficients of load, temperature and displacement on oil pressure changes, represents a constant term, which is used to control the influence intensity of displacement. and Respectively represent the influence coefficients of oil viscosity and friction on oil pressure changes, 、 and They represent the feedback coefficients of the input to the oil pressure change at load, temperature and time lag sz respectively, and Respectively represent the effects of oil viscosity and friction on oil pressure, Indicates the oil pressure value of the shear tester at time t1-sz, represents external disturbance and noise terms, describing the impact of unpredictable environmental factors on oil pressure;

[0087] Explanation and principle of the above formula: 、 、 and is a constant obtained by fitting the experimental data, 、 、 、 and It is obtained by simulation experiments by people in this field that the exponential term in the formula and It means that under large load or high temperature, the growth of oil pressure is exponential, which captures the nonlinear effect of these factors on oil pressure. The nonlinear term in the formula is Describes the effect of displacement on oil pressure. The effect of displacement on oil pressure gradually weakens within a certain range, avoiding excessive increase in oil pressure when the displacement is too large. The hysteresis effect is represented by the time lag sz, which simulates the response characteristics of oil pressure to historical input signals. This response usually has a certain delay and inertia. It is used to describe the feedback effect of oil pressure on input, indicating that oil pressure is not only affected by external factors, but also fed back to the compression shear testing machine, affecting subsequent oil pressure changes. It is used to capture external disturbances and uncontrollable factors of the system, further improving the robustness of the model. The temperature sensor data and viscosity sensor data can be combined for real-time measurement. If the sensor is not convenient to obtain, it can be estimated using the empirical formula of temperature and oil type. The friction force can be estimated by real-time monitoring through force sensors or by combining load and speed information with a friction coefficient model. The calculation of friction force can also be adjusted by combining operating temperature and friction characteristics.

[0088] By introducing multi-dimensional factors such as nonlinear relationships, hysteresis effects, feedback mechanisms, and noise modeling, the model can more accurately describe the dynamic changes in oil pressure under complex working conditions, especially oil pressure fluctuations under high loads, complex temperature changes, and complex mechanical environments.

[0089] Step S302: Set the oil pressure safety upper and lower thresholds. If the predicted value of the oil pressure monitoring model is higher than the set oil pressure safety upper threshold, or the predicted value of the oil pressure monitoring model is lower than the set oil pressure safety lower threshold, it is determined that the oil pressure of the shear tester at time t1 is abnormal. Otherwise, there is no abnormality.

[0090] Step S4: Based on the oil pressure prediction result, the oil pressure is adjusted in real time using the oil pressure control adjustment strategy;

[0091] The specific steps of step S4 are:

[0092] Step S401: When the oil pressure of the compression shear testing machine is abnormal, the adjustment amount of the oil pressure of the compression shear testing machine is calculated. The specific formula is:

[0093] ,

[0094] in, Indicates the adjustment amount of the oil pressure of the shear test machine. 、 and are the weight coefficients of load, displacement and temperature respectively, Indicates the oil pressure change caused by load, Indicates the change in oil pressure caused by displacement, Indicates the change in oil pressure caused by temperature;

[0095] Explanation and principle of the above formula: , represents the load sensitivity coefficient, Indicates the load change. The load sensor monitors the change of the external applied load. If the load change exceeds the preset threshold, the oil pressure needs to be increased to ensure the stability of the equipment. When the load change is small, the oil pressure adjustment range is reduced. , represents the displacement sensitivity coefficient, Indicates the displacement change. When the displacement increases, the rate of oil pressure adjustment slows down. Because high-speed movement requires more stability, excessive oil pressure fluctuations may cause test instability. When the displacement is slow, the sensitivity of oil pressure adjustment can be increased to improve responsiveness. , represents the temperature sensitivity coefficient, Indicates the temperature change. If the temperature rises, the oil viscosity decreases, the oil pressure may be too high, and the oil pressure needs to be reduced. When the temperature drops, the oil viscosity increases, and the oil pressure may need to be increased appropriately to compensate for the effect of increased viscosity on pressure. The weight coefficient 、 and Adjustments are made based on load, displacement, and temperature data, which cannot be obtained through simulation experiments. The purpose of load change monitoring is to dynamically adjust the oil pressure according to the changes in load during the test to avoid fluctuations in the testing machine performance due to excessive or insufficient loads. The purpose of displacement change monitoring is to adjust the oil pressure according to changes in the test speed, especially in high-speed shear or compression tests, to avoid interference from excessively rapid oil pressure changes on the test results. The purpose of temperature change monitoring is to adjust the oil pressure according to changes in oil temperature to prevent oil pressure fluctuations caused by changes in oil viscosity.

[0096] Step S402: Control the compression and shear testing machine based on the oil pressure adjustment amount. The servo motor group in the compression and shear testing machine is divided into two groups: a vertical motor group and a horizontal motor group. In working condition 1, the horizontal motor group maintains idle rotation, providing a low system pressure to maintain the displacement of the horizontal cylinder. The speed of the vertical motor group changes with the output signal of the vertical servo valve.

[0097] Step S403: In working condition 2, the speed of the horizontal motor group changes with the output signal of the horizontal servo valve, and the speed of the vertical motor group changes with the output signal of the vertical servo valve;

[0098] Step S404: In working condition three, the horizontal motor group does not participate in the work and maintains idle speed, the vertical motor group supplies oil to the vertical cylinder and the horizontal cylinder at the same time, and the motor speed changes with the output signal of the horizontal servo valve.

[0099] The compression and shear testing machine includes but is not limited to: oil tank, horizontal servo motor group (servo motor + gear pump), vertical servo motor group (servo motor + gear pump), vertical oil supply switching horizontal oil supply valve group, vertical servo valve block, vertical servo valve, vertical oil cylinder, horizontal servo valve block, horizontal servo valve, horizontal oil cylinder, horizontal oil inlet and return pipelines, and vertical oil inlet and return pipelines.

[0100] Step S5: During the oil pressure monitoring process, an automatic alarm is issued for abnormal situations, and the oil pressure control adjustment strategy is optimized based on the historical data collected during the test.

[0101] Example 2

[0102] See also Figure 2 , another embodiment provided by the present invention: a hydraulic pressure monitoring system for a compression shear testing machine based on scenario analysis, comprising: a data acquisition module, a scenario analysis module, an hydraulic pressure prediction module, a control adjustment module and an alarm optimization module;

[0103] The data acquisition module is used to collect relevant data of the compression shear test machine, including oil pressure data, load data, temperature data and displacement data, and pre-process the collected relevant data of the compression shear test machine;

[0104] The scenario analysis module is used to classify and extract different scenario modes based on the relevant data of the compression and shear testing machine after preprocessing, the operating mode of the compression and shear testing machine, and the external environmental conditions;

[0105] The oil pressure prediction module is used to establish an oil pressure monitoring model based on scenario analysis and predict the oil pressure value in real time;

[0106] The control adjustment module is used to adjust the oil pressure in real time based on the oil pressure prediction result and using the oil pressure control adjustment strategy;

[0107] The alarm optimization module is used to automatically alarm for abnormal situations during the oil pressure monitoring process and optimize the oil pressure control adjustment strategy based on historical data collected during the test process.

[0108] The oil pressure prediction module includes: an oil pressure prediction unit and an abnormality analysis unit;

[0109] The oil pressure prediction unit is used to predict the oil pressure of the compression shear testing machine at a future moment based on the scenario analysis result;

[0110] The abnormality analysis unit is used to analyze and determine whether an abnormality occurs in the compression shear testing machine.

[0111] The control adjustment module includes: an adjustment amount calculation unit and a control unit;

[0112] The adjustment amount calculation unit is used to calculate the adjustment amount of the oil pressure of the compression shear testing machine when an abnormal oil pressure condition occurs in the compression shear testing machine;

[0113] The control unit is used to control and adjust the compression and shear testing machine under different working conditions according to the adjustment amount of the oil pressure of the compression and shear testing machine.

[0114] In addition, the parts of the above technical solutions provided in the embodiments of the present application that are consistent with the implementation principles of the corresponding technical solutions in the prior art are not described in detail to avoid excessive redundancy.

[0115] The above-described specific embodiments further illustrate the objectives, technical solutions, and beneficial effects of the present invention. It should be understood that the above description is merely a specific embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention shall be included within the scope of protection of the present invention.

Claims

1. The oil pressure monitoring method of the compression shear testing machine based on scenario analysis is characterized in that: include: Collect relevant data of the compression shear testing machine, including oil pressure data, load data, temperature data and displacement data, and pre-process the collected compression shear testing machine relevant data; According to the relevant data of the compression shear test machine after preprocessing, the operation mode of the compression shear test machine and the external environmental conditions, different scene modes are classified and extracted; Establish an oil pressure monitoring model based on scenario analysis to predict oil pressure values in real time; Based on the oil pressure prediction results, the oil pressure is adjusted in real time using the oil pressure control adjustment strategy; During the oil pressure monitoring process, abnormal situations are automatically alarmed, and the oil pressure control adjustment strategy is optimized based on the historical data collected during the test; The classification extracts different scene modes, including: The test process of the compression shear testing machine is divided into four scenario stages, including loading scenario stage, unloading scenario stage, constant load scenario stage and abnormal scenario stage; A standard model is established for each scenario stage. The specific formula is: ， ， ， Among them, P jz Indicates the oil pressure value of the compression shear tester during the loading scenario, L indicates the load of the compression shear tester, represents the regression coefficient between load and oil pressure, represents the intercept, represents the oil pressure value of the shear testing machine at time t in the unloading scenario stage, Indicates the oil pressure at the initial stage of unloading. represents the attenuation coefficient, C represents the balance oil pressure value, t represents the time, Indicates the oil pressure value of the compression shear testing machine during the constant load scenario. Indicates the stable value of oil pressure; The compression shear testing machine has scene switching between different operation stages. According to the scene switching strategy, the scene stage of the compression shear testing machine is dynamically analyzed and judged; The scene switching strategy includes: Determination of the loading scenario stage: The load of the compression shear testing machine gradually increases, and the oil pressure rises with the load of the compression shear testing machine, and it is determined that the compression shear testing machine is in the loading scenario stage; Unloading scenario determination: The load of the compression shear testing machine decreases, the rate of load reduction exceeds the preset threshold, and when the load decreases, the oil pressure fluctuates in the opposite direction, and the compression shear testing machine is determined to be in the unloading scenario stage; Determination of the constant load scenario stage: If the load change rate of the compression shear testing machine approaches zero, the oil pressure is stable, and the oil pressure change is less than the preset threshold, the compression shear testing machine is determined to be in the constant load scenario stage; Abnormal scenario stage judgment: If the load change rate of the compression shear testing machine is greater than the preset threshold, and the oil pressure of the compression shear testing machine exceeds the preset threshold, or the oil pressure change rate of the compression shear testing machine greatly exceeds the preset threshold, and the load of the compression shear testing machine exceeds the preset threshold, it is judged that the compression shear testing machine is in the abnormal scenario stage.

2. The oil pressure monitoring method for a compression shear testing machine based on scenario analysis according to claim 1, characterized in that: The oil pressure monitoring model is established based on scenario analysis to predict the oil pressure value in real time, including: An oil pressure monitoring model is established based on scenario analysis. The specific formula is: ， in, represents the oil pressure monitoring model, i.e. the predicted oil pressure of the shear testing machine at time t1 in the future. 、 and Respectively represent the influence coefficients of load, temperature and displacement on oil pressure changes, represents a constant term, and Respectively represent the influence coefficients of oil viscosity and friction on oil pressure changes, 、 and They represent the feedback coefficients of the input to the oil pressure change at load, temperature and time lag sz respectively, and Respectively represent the effects of oil viscosity and friction on oil pressure, Indicates the oil pressure value of the shear tester at time t1-sz, represents external disturbance and noise terms; Set the oil pressure safety upper and lower thresholds. If the predicted value of the oil pressure monitoring model is higher than the set oil pressure safety upper threshold, or the predicted value of the oil pressure monitoring model is lower than the set oil pressure safety lower threshold, it is determined that the oil pressure of the shear tester at time t1 is abnormal. Otherwise, there is no abnormality.

3. The oil pressure monitoring method for a compression shear testing machine based on scenario analysis according to claim 2, characterized in that: The oil pressure is adjusted in real time based on the oil pressure prediction result using the oil pressure control adjustment strategy, including: When the oil pressure of the compression shear testing machine is abnormal, calculate the adjustment amount of the oil pressure of the compression shear testing machine. The specific formula is: ， in, Indicates the adjustment amount of the oil pressure of the shear test machine. 、 and are the weight coefficients of load, displacement and temperature respectively, Indicates the oil pressure change caused by load, Indicates the change in oil pressure caused by displacement, Indicates the change in oil pressure caused by temperature; According to the adjustment amount of the oil pressure of the compression shear tester, the compression shear tester is controlled. The servo motor group in the compression shear tester is divided into two groups, the vertical motor group and the horizontal motor group. In working condition 1, the horizontal motor group maintains idle rotation and controls the speed of the vertical motor group. In working condition 2, the speeds of the vertical motor group and the horizontal motor group are controlled simultaneously; In working condition three, the speed of the vertical motor group is controlled, and no control adjustment is performed on the horizontal motor group.

4. The oil pressure monitoring method for a compression shear testing machine based on scenario analysis according to claim 3, characterized in that: The preprocessing includes: data cleaning and data standardization, wherein data cleaning is to remove noise from the collected data related to the compression and shear testing machine and fill in missing values; Data standardization is used to standardize the collected data related to the compression and shear testing machine.

5. A scene analysis-based oil pressure monitoring system for a compression shear testing machine, used to implement the scene analysis-based oil pressure monitoring method for a compression shear testing machine according to any one of claims 1 to 4, characterized in that: include: Data acquisition module, scenario analysis module, oil pressure prediction module, control adjustment module and alarm optimization module; The data acquisition module is used to collect relevant data of the compression shear test machine, including oil pressure data, load data, temperature data and displacement data, and pre-process the collected relevant data of the compression shear test machine; The scenario analysis module is used to classify and extract different scenario modes based on the relevant data of the compression and shear testing machine after preprocessing, the operating mode of the compression and shear testing machine, and the external environmental conditions; The classification extracts different scene modes, including: The test process of the compression shear testing machine is divided into four scenario stages, including loading scenario stage, unloading scenario stage, constant load scenario stage and abnormal scenario stage; A standard model is established for each scenario stage. The specific formula is: ， ， ， Among them, P jz Indicates the oil pressure value of the compression shear tester during the loading scenario, L indicates the load of the compression shear tester, represents the regression coefficient between load and oil pressure, represents the intercept, represents the oil pressure value of the shear testing machine at time t in the unloading scenario stage, Indicates the oil pressure at the initial stage of unloading. represents the attenuation coefficient, C represents the balance oil pressure value, t represents the time, Indicates the oil pressure value of the compression shear testing machine during the constant load scenario. Indicates the stable value of oil pressure; The compression shear testing machine has scene switching between different operation stages. According to the scene switching strategy, the scene stage of the compression shear testing machine is dynamically analyzed and judged; The scene switching strategy includes: Determination of the loading scenario stage: The load of the compression shear testing machine gradually increases, and the oil pressure rises with the load of the compression shear testing machine, and it is determined that the compression shear testing machine is in the loading scenario stage; Unloading scenario determination: The load of the compression shear testing machine decreases, the rate of load reduction exceeds the preset threshold, and when the load decreases, the oil pressure fluctuates in the opposite direction, and the compression shear testing machine is determined to be in the unloading scenario stage; Determination of the constant load scenario stage: If the load change rate of the compression shear testing machine approaches zero, the oil pressure is stable, and the oil pressure change is less than the preset threshold, the compression shear testing machine is determined to be in the constant load scenario stage; Abnormal scenario stage determination: If the load change rate of the compression shear tester is greater than the preset threshold, and the oil pressure of the compression shear tester exceeds the preset threshold, or if the oil pressure change rate of the compression shear tester greatly exceeds the preset threshold, and the load of the compression shear tester exceeds the preset threshold, the compression shear tester is determined to be in the abnormal scenario stage; The oil pressure prediction module is used to establish an oil pressure monitoring model based on scenario analysis and predict the oil pressure value in real time; The control adjustment module is used to adjust the oil pressure in real time based on the oil pressure prediction result and using the oil pressure control adjustment strategy; The alarm optimization module is used to automatically alarm for abnormal situations during the oil pressure monitoring process and optimize the oil pressure control adjustment strategy based on historical data collected during the test process.

6. The oil pressure monitoring system for a compression shear testing machine based on scenario analysis according to claim 5, characterized in that: The oil pressure prediction module includes: an oil pressure prediction unit and an abnormality analysis unit; The oil pressure prediction unit is used to predict the oil pressure of the compression shear testing machine at a future moment based on the scenario analysis result; The abnormality analysis unit is used to analyze and determine whether an abnormality occurs in the compression shear testing machine.

7. The oil pressure monitoring system for a compression shear testing machine based on scenario analysis according to claim 6, characterized in that: The control adjustment module includes: an adjustment amount calculation unit and a control unit; The adjustment amount calculation unit is used to calculate the adjustment amount of the oil pressure of the compression shear testing machine when an abnormal oil pressure condition occurs in the compression shear testing machine; The control unit is used to control and adjust the compression and shear testing machine under different working conditions according to the adjustment amount of the oil pressure of the compression and shear testing machine.

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