Pressure shear test machine oil pressure monitoring system and method based on scene analysis

Abstract

The invention discloses a pressure-shear tester oil pressure monitoring system and method based on scene analysis, and belongs to the technical field of oil pressure monitoring control, and the method specifically comprises the steps: collecting related data of a pressure-shear tester, including oil pressure data, load data, temperature data and displacement data, and preprocessing the collected related data of the pressure-shear tester, the method comprises the following steps: extracting different scene modes in a classified manner according to pre-processed related data of the compression-shear testing machine, an operation mode of the compression-shear testing machine and an external environment condition, establishing an oil pressure monitoring model based on scene analysis, predicting an oil pressure value in real time, and adjusting oil pressure in real time by utilizing an oil pressure control adjustment strategy based on an oil pressure prediction result. In the oil pressure monitoring process, automatic alarming is carried out on abnormal conditions, and an oil pressure control adjustment strategy is optimized based on historical data collected in the test process; according to different test conditions, the oil pressure variable quantity can be calculated in real time, the oil pressure can be accurately adjusted, and different test requirements can be met.

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 and shear testing machines are widely used in materials science, engineering, geology and other fields to test the mechanical properties of materials under mechanical forces such as shear and compression. The hydraulic system of the testing machine is usually used to provide sufficient power to ensure the stability and accuracy of the equipment under different loads and test conditions. The hydraulic system transmits energy through hydraulic oil to drive the actions of the testing machine, such as compression, tension and shear.

[0003] The existing servo control oil source has obvious energy-saving effect compared with the traditional constant pressure oil source. However, this oil source is also a constant pressure oil source. In order to achieve the constant pressure effect, there must be enough overflow to ensure the stability of the oil pressure. The overflowing high-pressure oil will turn into heat and cause the oil temperature to rise. It will reach the upper limit within a period of time and alarm. Therefore, a high-power cooling system is required to suppress the increase in oil temperature, resulting in energy waste. Summary of the invention

[0004] In view of the shortcomings of the prior art, 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 are improved.

[0005] To achieve the above object, the present invention provides the following technical solutions: The oil pressure monitoring method of the compression shear testing machine based on scenario analysis includes: 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 relevant data of the compression shear testing machine; 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.

[0006] Specifically, the classification extracts different scene modes, including: The test process of the compression shear test 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, and the specific formula is: , , , Among them, P jz It represents the oil pressure value of the compression shear tester in the loading scenario stage, L represents 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 test 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 balanced oil pressure value, t represents the time, Indicates the oil pressure value of the compression shear test machine during the constant load scenario. Indicates the stable value of oil pressure; There are 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.

[0007] Specifically, the scene switching strategy includes: Determination of the loading scenario stage: the load of the compression shear test machine gradually increases, and the oil pressure rises with the load of the compression shear test machine, and it is determined that the compression shear test machine is in the loading scenario stage; Determination of the unloading scenario stage: 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 reverse direction, and the compression shear testing machine is determined to be in the unloading scenario stage; Determination of the constant load scenario stage: When the load change rate of the compression shear tester approaches zero, the oil pressure is stable, and the oil pressure change is less than the preset threshold, it is determined that the compression shear tester is in the constant load scenario stage; Abnormal scenario stage determination: if the load change rate of the compression and shear testing machine is greater than the preset threshold, and the oil pressure of the compression and shear testing machine exceeds the preset threshold, or the oil pressure change rate of the compression and shear testing machine exceeds the preset threshold, and the load of the compression and shear testing machine exceeds the preset threshold, the compression and shear testing machine is determined to be in the abnormal scenario stage.

[0008] Specifically, the oil pressure monitoring model is established based on scenario analysis to predict the oil pressure value in real time, including: The oil pressure monitoring model is established based on scenario analysis. The specific formula is: , in, represents the oil pressure monitoring model, that is, the predicted value of the oil pressure of the shear test machine at time t1 in the future. , and Respectively represent the influence coefficients of load, temperature and displacement on oil pressure change, represents a constant term, and They 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 They respectively represent the effects of oil viscosity and friction on oil pressure. Indicates the oil pressure value of the shear test machine at time t1-sz, represents external disturbance and noise terms; The oil pressure safety upper and lower thresholds are set. 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 is abnormal at time t1; otherwise, there is no abnormality.

[0009] Specifically, the oil pressure is adjusted in real time based on the oil pressure prediction result by using the oil pressure control adjustment strategy, including: When the oil pressure of the compression shear test machine is abnormal, the adjustment amount of the oil pressure of the compression shear test machine is calculated. The specific formula is: , in, Indicates the adjustment amount of the oil pressure of the shear test machine. , and They represent the weight coefficients of load, displacement and temperature respectively, Indicates the change in oil pressure 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 test machine, the compression shear test machine is controlled, and the servo motor group in the compression shear test machine is divided into two groups, the vertical motor group and the horizontal motor group. In the first working condition, 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 made to the horizontal motor group.

[0010] 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; Data standardization is used to standardize the collected data related to the compression and shear testing machine.

[0011] 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; 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 scene analysis module is used to classify and extract different scene modes 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; 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 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. Specifically, 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.

[0012] Specifically, 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 test machine when the oil pressure of the compression shear test machine is abnormal; 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.

[0013] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention proposes an oil pressure monitoring method for a shear test 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.

[0014] 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.

[0015] 3. The present invention proposes an oil pressure monitoring method for a compression shear testing machine based on scenario analysis, which adopts a servo motor with a gear pump, and controls the speed of the servo motor through the output signal of a servo valve to meet the oil supply demand under different working conditions. The speed of the servo motor changes with the oil supply demand, and the control accuracy is high with only very little overflow. It only needs to be equipped with a smaller power air cooling device to meet the cooling demand. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 A flow chart of the oil pressure monitoring method of a compression shear testing machine based on scene analysis provided by the present invention; Figure 2 This is an architecture diagram of the oil pressure monitoring system for the shear test machine based on scenario analysis provided by the present invention. DETAILED DESCRIPTION

[0017] The present application is described in detail below in conjunction with specific embodiments. The following embodiments will help those skilled in the art to further understand the present application, but do not limit the present application in any form. It should be noted that, for those of ordinary skill in the art, several variations and improvements can also be made without departing from the concept of the present application. These all belong to the protection scope of the present application.

[0018] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0019] 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 diagram 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 " The words "first", "second", "third", etc. do not limit the data and execution order, but only distinguish the same items or similar items with basically the same functions and effects.

[0020] Unless otherwise defined, all technical and scientific terms used in this specification have the same meaning 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" used in this specification includes any and all combinations of one or more of the related listed items.

[0021] Example 1 See also Figure 1 , an embodiment provided by the present invention: a method for monitoring oil pressure of a compression shear test machine based on scene analysis, comprising the following specific steps: 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; 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 shear tester. 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 load application.

[0022] The preprocessing includes: data cleaning and data standardization, where data cleaning removes noise from the data and fills in missing values, and data standardization, where data are standardized so that they can be compared under the same dimension to ensure the fusion of data from different sensors; Denoising can be done by using methods such as Kalman filtering or wavelet transform. Step S2: classify and extract different scene modes 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; The specific steps of step S2 are: Step S201: dividing the test process of the compression shear test machine into four scenario stages, including: a loading scenario stage, an unloading scenario stage, a constant load scenario stage and an abnormal scenario stage; Step S202: Establish a standard model for each scene stage. The specific formula is: , , , Among them, P jz It represents the oil pressure value of the compression shear tester in the loading scenario stage, L represents 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 test 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 balanced oil pressure value, t represents the time, Indicates the oil pressure value of the compression shear test machine during the constant load scenario. Indicates the stable value of oil pressure; and They are all coefficients obtained through regression of experimental data. In 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; in 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. In this stage, anomaly detection algorithms are usually used. 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; Step S203: There is scene switching between different operation stages of the compression and shear testing machine. According to the scene switching strategy, a dynamic analysis and judgment is performed on the scene stage of the compression and shear testing machine.

[0023] The scene switching strategy in step S203 includes: Determination of the loading scenario stage: the load of the compression shear test machine gradually increases, and the oil pressure rises with the load of the compression shear test machine, and it is determined that the compression shear test machine is in the loading scenario stage; Determination of the unloading scenario stage: 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 (that is, the oil pressure temporarily rises and then falls back), and the compression shear testing machine is determined to be in the unloading scenario stage; In this embodiment, the main difference between the loading stage and the unloading stage lies in the load change direction and the oil pressure change trend. In the loading stage, the load gradually increases and the oil pressure rises accordingly; while in the unloading stage, the load gradually decreases and the oil pressure has different responses, and a rebound phenomenon may occur; Determination of the constant load scenario stage: When the load change rate of the compression shear tester approaches zero, the oil pressure is stable, and the oil pressure change is less than the preset threshold, it is determined that the compression shear tester is in the constant load scenario stage; In this embodiment, the main difference between the unloading stage and the constant load stage is the load change state. In the unloading stage, the load gradually decreases, while in the constant load stage, the load remains unchanged, and the oil pressure remains stable according to the law of load change; Abnormal scenario stage determination: if the load change rate of the compression and shear testing machine is greater than the preset threshold, and the oil pressure of the compression and shear testing machine exceeds the preset threshold, or the oil pressure change rate of the compression and shear testing machine exceeds the preset threshold, and the load of the compression and shear testing machine exceeds the preset threshold, the compression and shear testing machine is determined to be in the abnormal scenario stage.

[0024] 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 a normal working state.

[0025] Step S3: Establishing an oil pressure monitoring model based on scenario analysis to predict the oil pressure value in real time; The specific steps of step S3 are: Step S301: Establish an oil pressure monitoring model based on scenario analysis. The specific formula is: , in, represents the oil pressure monitoring model, that is, the predicted value of the oil pressure of the shear test machine at time t1 in the future. , and Respectively represent the influence coefficients of load, temperature and displacement on oil pressure change, represents a constant term, which is used to control the influence intensity of displacement. and They 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 They respectively represent the effects of oil viscosity and friction on oil pressure. Indicates the oil pressure value of the shear test machine at time t1-sz, represents external disturbance and noise terms, describing the impact of unpredictable environmental factors on oil pressure; 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 heavy load or high temperature, the oil pressure increases exponentially, capturing the nonlinear effect of these factors on the oil pressure. The nonlinear term in the formula Describes the effect of displacement on oil pressure. The effect of displacement on oil pressure gradually weakens within a certain range, avoiding excessive increase of oil pressure when 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 tester, 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 the friction coefficient model. The calculation of friction force can also be adjusted by combining the operating temperature and friction characteristics. 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 of oil pressure under complex working conditions, especially the oil pressure fluctuations under high loads, complex temperature changes, and complex mechanical environments; 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.

[0026] Step S4: Based on the oil pressure prediction result, the oil pressure is adjusted in real time using the oil pressure control adjustment strategy; The specific steps of step S4 are: Step S401: When the oil pressure of the compression shear test machine is abnormal, the adjustment amount of the oil pressure of the compression shear test machine is calculated. The specific formula is: , in, Indicates the adjustment amount of the oil pressure of the shear test machine. , and They represent the weight coefficients of load, displacement and temperature respectively, Indicates the change in oil pressure caused by load, Indicates the change in oil pressure caused by displacement, Indicates the change in oil pressure caused by temperature; 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 change of load during the test to avoid fluctuations in the performance of the testing machine due to excessive or insufficient load. 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 of too fast 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. Step S402: Control the compression shear tester according to the adjustment amount of the oil pressure of the compression shear tester, divide the servo motor group in the compression shear tester 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 lower system pressure to maintain the displacement of the horizontal oil cylinder; the speed of the vertical motor group changes with the output signal of the vertical servo valve; 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; Step S404: In working condition three, the horizontal motor group does not participate in the work and maintains idling 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.

[0027] 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.

[0028] Step S5: During the oil pressure monitoring process, an abnormal situation is automatically alarmed, and the oil pressure control adjustment strategy is optimized based on the historical data collected during the test.

[0029] Example 2 See also Figure 2 , another embodiment provided by the present invention: a hydraulic pressure monitoring system for a compression shear test machine based on scene analysis, comprising: a data acquisition module, a scene analysis module, an hydraulic pressure prediction module, a control adjustment module and an 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 scene analysis module is used to classify and extract different scene modes 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; 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 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.

[0030] 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.

[0031] 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 test machine when the oil pressure of the compression shear test machine is abnormal; 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.

[0032] In addition, the parts of the above-mentioned 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.

[0033] The specific implementation modes as described above further describe the purpose, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific implementation mode of the present invention and is not intended to limit the present invention. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. The oil pressure monitoring method of the compression shear testing machine based on scene 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 relevant data of the compression shear testing machine; 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.

2. The method for monitoring oil pressure of a compression shear testing machine based on scene analysis according to claim 1, characterized in that: The classification extracts different scene modes, including: The test process of the compression shear test 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, and the specific formula is: ， ， ， Among them, P jz It represents the oil pressure value of the compression shear tester in the loading scenario stage, L represents 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 test 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 balanced oil pressure value, t represents the time, Indicates the oil pressure value of the compression shear test machine during the constant load scenario. Indicates the stable value of oil pressure; There are 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.

3. The oil pressure monitoring method for a compression shear testing machine based on scene analysis according to claim 2, characterized in that: The scene switching strategy includes: Determination of the loading scenario stage: the load of the compression shear test machine gradually increases, and the oil pressure rises with the load of the compression shear test machine, and it is determined that the compression shear test machine is in the loading scenario stage; Determination of the unloading scenario stage: 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 reverse direction, and the compression shear testing machine is determined to be in the unloading scenario stage; Determination of the constant load scenario stage: When the load change rate of the compression shear tester approaches zero, the oil pressure is stable, and the oil pressure change is less than the preset threshold, it is determined that the compression shear tester is in the constant load scenario stage; Abnormal scenario stage determination: if the load change rate of the compression and shear testing machine is greater than the preset threshold, and the oil pressure of the compression and shear testing machine exceeds the preset threshold, or the oil pressure change rate of the compression and shear testing machine exceeds the preset threshold, and the load of the compression and shear testing machine exceeds the preset threshold, the compression and shear testing machine is determined to be in the abnormal scenario stage.

4. The oil pressure monitoring method for a compression shear testing machine based on scene analysis according to claim 3 is characterized in that: The oil pressure monitoring model is established based on scenario analysis to predict the oil pressure value in real time, including: The oil pressure monitoring model is established based on scenario analysis. The specific formula is: ， in, represents the oil pressure monitoring model, that is, the predicted value of the oil pressure of the shear test machine at time t1 in the future. , and Respectively represent the influence coefficients of load, temperature and displacement on oil pressure change, represents a constant term, and They 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 They respectively represent the effects of oil viscosity and friction on oil pressure. Indicates the oil pressure value of the shear test machine at time t1-sz, represents external disturbance and noise terms; The oil pressure safety upper and lower thresholds are set. 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 is abnormal at time t1; otherwise, there is no abnormality.

5. The oil pressure monitoring method for a compression shear testing machine based on scene analysis according to claim 4, characterized in that: The oil pressure is adjusted in real time based on the oil pressure prediction result by using the oil pressure control adjustment strategy, including: When the oil pressure of the compression shear test machine is abnormal, the adjustment amount of the oil pressure of the compression shear test machine is calculated. The specific formula is: ， in, Indicates the adjustment amount of the oil pressure of the shear test machine. , and They represent the weight coefficients of load, displacement and temperature respectively, Indicates the change in oil pressure 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 test machine, the compression shear test machine is controlled, and the servo motor group in the compression shear test machine is divided into two groups, the vertical motor group and the horizontal motor group. In the first working condition, 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 made to the horizontal motor group.

6. The method for monitoring oil pressure of a compression shear testing machine based on scene analysis according to claim 5, characterized in that: 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; Data standardization is used to standardize the collected data related to the compression and shear testing machine.

7. A compression shear test machine oil pressure monitoring system based on scene analysis, used to implement the compression shear test machine oil pressure monitoring method based on scene analysis as described in any one of claims 1 to 6, 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 scene analysis module is used to classify and extract different scene modes 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; 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 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.

8. The oil pressure monitoring system for a compression shear testing machine based on scene analysis according to claim 7, 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.

9. The oil pressure monitoring system for a compression shear testing machine based on scene analysis according to claim 8, 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 test machine when the oil pressure of the compression shear test machine is abnormal; 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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