Multi-modal mechanical property test management method and electronic equipment thereof

Abstract

The invention provides a multi-modal mechanical property test management method and electronic equipment thereof, and the method comprises the steps: executing a diameter expansion action on a target diameter expansion head through a preset simulation loading device, and collecting the performance test data of the target diameter expansion head in real time; analyzing the performance test data, and determining at least one item of corresponding abnormal test data; based on the at least one item of abnormal test data, determining corresponding performance adjustment parameters of the target expanding head in expanding work; and the performance parameters of the target expanding head in the expanding work are adjusted based on the performance adjustment parameters. The key performance parameters in the expanding process are monitored and analyzed in real time through the steps of the method, the problem source can be recognized and positioned when the expanding head is in the abnormal operation state, then the expanding speed, the expanding stroke and the thrust setting or lubrication control strategy are dynamically adjusted according to the recognition result, and therefore closed-loop optimization control over the expanding process is achieved, and the expanding efficiency is improved. And the precision degree and the efficiency in the expanding process are improved.

Description

Technical Field

[0001] The present invention relates to the field of intelligent testing, and particularly to a multi-modal mechanical property testing management method, device, system, electronic device and its storage medium. Background Technique

[0002] During the pipe manufacturing process, the expanding machine, as a key device, is widely used to improve the dimensional consistency of steel pipes and enhance the surface quality. Although traditional expanding equipment has the basic expanding function, there are still many technical bottlenecks in the performance testing and process optimization of the expanding head.

[0003] Currently, the industry usually relies on manual experience or fixed parameters for expanding operations, lacking real-time perception and dynamic adjustment of key mechanical property parameters (such as expanding thrust, displacement response, electric drive load, etc.) during the expanding process, and lacking an intelligent feedback control mechanism based on abnormal working conditions. Therefore, a method is proposed to solve the above problems by collecting multi-dimensional data of the expanding process in real time and automatically optimizing the performance parameters of the expanding head based on abnormal feedback. Summary of the Invention

[0004] The present invention provides a multi-modal mechanical property testing management method to solve the problems existing in the existing multi-modal mechanical property testing management method, such as relying on manual experience or fixed parameters for expanding operations, lacking real-time perception and dynamic adjustment of key mechanical property parameters (such as expanding thrust, displacement response, electric drive load, etc.) during the expanding process, and lacking an intelligent feedback control mechanism based on abnormal working conditions.

[0005] In a first aspect, the present invention provides a multi-modal mechanical property testing management method, and the method includes the following steps: Perform an expanding action on a target expanding head through a preset simulation loading device, and collect performance test data of the target expanding head in real time, where the test data includes pressure data, displacement data, and current data; Analyze the performance test data to determine at least one corresponding abnormal test data; Based on at least one piece of the abnormal test data, determine the performance adjustment parameters corresponding to the target expanding head during the expanding operation; Adjust the performance parameters of the target expanding head during the expanding operation based on the performance adjustment parameters.

[0006] Optionally, before performing the expanding action on the target expanding head through the preset simulation loading device and collecting the performance test data of the target expanding head in real time, the method further includes: Identify the surface of the target expanding head through a preset camera module to determine the oil film data on the surface of the target expanding head, where the oil film data includes oil film uniformity and oil film thickness; Determine the oil output and oil outlet pressure of the lubricating oil; Based on the oil output, oil outlet pressure, oil film uniformity, and oil film thickness of the lubricating oil, determine the lubrication degree of the target expanding head; If the lubrication degree reaches the preset expanding condition, perform an expanding action on the target expanding head through the preset simulation loading device.

[0007] Optionally, perform an expanding action on the target expanding head through the preset simulation loading device, and collect performance test data of the target expanding head in real time. The test data includes pressure data, displacement data, and current data, including: Collect pressure data of the target expanding head through a preset pressure sensor to determine the pressure data for performing the expanding action on the target expanding head; Collect displacement data of the target expanding head through a preset displacement sensor to determine the displacement data for performing the expanding action on the target expanding head; Analyze the expanding thrust and displacement information according to the preset electric drive load to determine the corresponding current data.

[0008] Optionally, analyze the performance test data to determine at least one corresponding abnormal test data, including: Compare the pressure data with a preset pressure threshold to determine the corresponding pressure abnormal test data; Perform a linear change detection on the displacement data. If there is a linear change, determine the corresponding displacement abnormal test data; Monitor the current data in real time. If an instantaneous fluctuation state or a continuous climbing state appears, determine the corresponding current abnormal test data.

[0009] Optionally, based on at least one of the abnormal test data, determine the corresponding performance adjustment parameters of the target expanding head during the expanding operation, including: When detecting the pressure abnormal test data, determine the corrected thrust data for adjusting the expansion accordingly; When detecting the displacement abnormal test data, determine the corrected stroke limit data for adjusting the expansion accordingly; When detecting the current abnormal test data, determine the corresponding lubrication correction parameter; Based on at least one of the corrected thrust data, corrected stroke limit data, and lubrication correction parameter, determine the corresponding performance adjustment parameter of the target expanding head during the expanding operation. The performance adjustment parameter is used to correct the abnormal expanding action of the target expanding head during the expanding operation through the corrected thrust data, corrected stroke limit data, and lubrication correction parameter.

[0010] Optionally, adjusting the performance parameters of the target expanding head during the expanding operation based on the performance adjustment parameters includes: Adjusting the thrust output and the expanding speed of the target expanding head based on the corrected thrust data; Adjusting the expanding stroke length of the target expanding head or determining a segmented expanding strategy based on the corrected stroke limit data; Adjusting the oil output, the oil pressure, and the lubrication mode of the lubricating oil based on the lubrication correction parameter, where the lubrication mode includes continuous lubrication and intermittent lubrication.

[0011] In a second aspect, the present invention further provides a multi-modal mechanical property test management device, where the multi-modal mechanical property test management device includes: A first acquisition module, configured to perform an expanding action on a target expanding head through a preset simulation loading device and collect the performance test data of the target expanding head in real time, where the test data includes pressure data, displacement data, and current data; A first analysis module, configured to analyze the performance test data to determine at least one corresponding abnormal test data; A first determination module, configured to determine the performance adjustment parameters corresponding to the target expanding head during the expanding operation based on at least one item of the abnormal test data; A first adjustment module, configured to adjust the performance parameters of the target expanding head during the expanding operation based on the performance adjustment parameters.

[0012] In a third aspect, the present invention provides a multi-modal mechanical property test management system, where the multi-modal mechanical property test management system includes: a multi-modal mechanical property test management device, a server, and an intelligent expanding device.

[0013] In a fourth aspect, the present invention provides an electronic device, including: a memory, a processor, and a computer program stored on the memory and executable on the processor, where when the processor executes the computer program, the steps in the multi-modal mechanical property test management method provided by the present invention are implemented.

[0014] In a fifth aspect, the present invention provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the steps in the multi-modal mechanical property test management method provided by the invention are implemented.

[0015] The present invention performs an expanding action on a target expanding head through a preset simulation loading device, and collects performance test data of the target expanding head in real time; analyzes the performance test data to determine at least one corresponding abnormal test data; determines performance adjustment parameters corresponding to the target expanding head during the expanding operation based on the at least one abnormal test data; and adjusts the performance parameters of the target expanding head during the expanding operation based on the performance adjustment parameters. By performing real-time monitoring and analysis on the key performance parameters during the expanding process through the above method steps, it is possible to identify and locate the source of the problem when the expanding head is in an abnormal operating state, and then dynamically adjust the expanding speed, expanding stroke, thrust setting, or lubrication control strategy according to the identification result, thereby realizing the closed-loop optimization control of the expanding process and improving the accuracy and efficiency during the expanding process. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0017] Figure 1 is a system architecture diagram of a multi-modal mechanical property test management system provided by an embodiment of the present invention; Figure 2 is a flowchart of a multi-modal mechanical property test management method provided by an embodiment of the present invention; Figure 3 is a structural schematic diagram of another multi-modal mechanical property test management device provided in an embodiment of the present invention; Figure 4 is a structural schematic diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0018] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0019] As Figure 1 shown, Figure 1It is an architecture diagram of a multimodal mechanical property test management system 100 provided by an embodiment of the present invention. The multimodal mechanical property test management system includes: a multimodal mechanical property test management device 300, a server 101, and an intelligent sizing device 102. Among them, the above-mentioned multimodal mechanical property test management device 300 further includes a first acquisition module, which can be used to perform a sizing action on a target sizing head through a preset simulation loading device and collect performance test data of the target sizing head in real time; a first analysis module, which can be used to analyze the performance test data to determine at least one corresponding abnormal test data; a first determination module, which can be used to determine performance adjustment parameters corresponding to the target sizing head during the sizing operation based on at least one abnormal test data; a first adjustment module, which can be used to adjust the performance parameters of the target sizing head during the sizing operation based on the performance adjustment parameters.

[0020] Specifically, the above-mentioned intelligent sizing device may include, but is not limited to, a preset simulation loading device and other load application devices designed to simulate a real sizing environment. The above-mentioned preset simulation loading device usually may include, but is not limited to, a hydraulic loading cylinder, a traveling device, or a rigid fixture, etc., which are used to provide an equivalent reaction force or simulate a constrained state for the sizing head under non-real steel pipe conditions, so as to realize a sizing test independent of actual workpieces. It can be understood that the load parameters of the above-mentioned preset simulation loading device can be preset through the above-mentioned multimodal mechanical property test management system and support flexible configuration.

[0021] The above-mentioned target sizing head may refer to the specific sizing component targeted in the current test, monitoring, or adjustment task, which is usually composed of a sizing cone, a connecting shaft, a support structure, etc., and is a key component for performing the sizing operation. Generally speaking, due to the different types, materials, and sizing characteristics of the sizing heads, the above-mentioned multimodal mechanical property test management system needs to simulate different sizing environments according to different sizing heads. Therefore, the sizing head undergoing the simulation test can be used as the above-mentioned target sizing head, and during the test process, sizing indicators such as the sizing force conversion efficiency, friction coefficient / lubrication performance, fit clearance and running smoothness, and thermal deformation of the sizing head are tested and detected. Through the test and optimization of the "target sizing head", quantitative analysis of the sizing process performance, fault warning, and structural design verification can be achieved.

[0022] The above-mentioned diameter expansion action may refer to the process of radially expanding and deforming a workpiece to be processed (such as metal pipe fittings, pipe segments, etc.) by a diameter expansion head under the drive control of a diameter expansion device in the above-mentioned multi-modal mechanical property test management system. Specifically, the diameter expansion action usually involves the main oil cylinder or the servo drive unit pushing the diameter expansion head axially into the interior of the workpiece, and at the same time relying on the conical structure of the diameter expansion head to gradually expand the pipe wall, so that the inner diameter of the workpiece reaches the preset specification. It can be understood that the process of the above-mentioned diameter expansion action may include but is not limited to the forward movement stage of the diameter expansion head: the diameter expansion head starts from a stationary state and advances forward at a set speed, and gradually enters the interior of the steel pipe or the simulated load workpiece; Diameter expansion section deformation stage: As the diameter expansion head advances, the pipe wall of the workpiece undergoes plastic deformation under the action of the axial thrust, and the expansion of the pipe diameter is completed; Pressure holding / slow retraction stage: After the diameter expansion is completed, the diameter expansion head remains or slowly retracts to maintain the deformation stability and avoid rebound deformation.

[0023] It should be noted that during the execution of the diameter expansion action, the above-mentioned multi-modal mechanical property test management system usually synchronously collects operation data such as pressure, displacement, and current to real-time monitor the force state and movement stability of the diameter expansion head, and trigger adjustment strategies in case of abnormal states.

[0024] The above-mentioned performance test data may include but is not limited to pressure data, displacement data, and current data. Among them, the pressure data is the load received by the target diameter expansion head during the diameter expansion action, and the displacement data is the movement path of the target diameter expansion head during the diameter expansion action. The above-mentioned performance test data can be synchronously collected through sensors such as pressure, displacement, and current deployed in the above-mentioned multi-modal mechanical property test management system during the implementation of the diameter expansion action, and input into the corresponding database in the system for subsequent analysis and use.

[0025] The above-mentioned abnormal test data may refer to the operation data in which some test data collected during the diameter expansion process deviates from the normal range or shows an abnormal pattern, such as abnormal pressure peaks, displacement stagnation, sudden current increase, etc. Generally speaking, the above-mentioned abnormal test data can be used to reflect abnormal states such as abnormal load, poor lubrication, or component failure during the diameter expansion process. The above-mentioned multi-modal mechanical property test management system can perform timely identification and recording by analyzing the above-mentioned abnormal test data to achieve a closed-loop diameter expansion control and risk warning.

[0026] The above performance adjustment parameters may refer to a set of expanding operation control variables generated by the above multi-modal mechanical property test management system according to preset rules or intelligent algorithms after identifying the abnormal state of diameter expansion, which are used to correct the diameter expansion behavior, relieve the system load or optimize the operation rhythm. Generally, the performance adjustment parameters may include, but are not limited to, the diameter expansion speed, the upper limit of the cylinder thrust, the lubrication frequency, the stroke limit of the diameter expansion path, etc., and can be combined as needed to adapt to different abnormal types and working condition requirements.

[0027] In a possible embodiment, the above multi-modal mechanical property test management system performs a diameter expansion action on the target expanding head through a preset simulation loading device, and synchronously collects performance test data such as pressure, displacement, current, etc. during the diameter expansion process, and performs real-time analysis based on this data to identify the abnormal operation state, and automatically generates corresponding performance adjustment parameters, which are used to dynamically adjust key operation parameters such as the diameter expansion speed, thrust, and lubrication, so as to realize the closed-loop optimization control of the diameter expansion process.

[0028] Through the above method steps, the stability and intelligent level of the diameter expansion process can be effectively improved, the failure rate and the frequency of manual intervention can be reduced, and the consistency, accuracy and equipment service life of the diameter expansion products can be improved.

[0029] As Figure 2 shown, Figure 2 is a flowchart of a multi-modal mechanical property test management method provided by an embodiment of the present invention. The multi-modal mechanical property test management method includes the steps: 201. Perform a diameter expansion action on the target expanding head through a preset simulation loading device, and collect the performance test data of the target expanding head in real time.

[0030] In the embodiment of the present invention, the above multi-modal mechanical property test management method can be applied to a multi-modal mechanical property test management system. The multi-modal mechanical property test management system has functions such as multi-modal mechanical property test data processing, multi-modal mechanical property test data transceiver, and multi-modal mechanical property test data memory storage, and can be constructed based on a server or a server cluster. The above server or server cluster can be an electronic device with multi-modal mechanical property test data processing capabilities.

[0031] The above-mentioned target expanding head can refer to the specific expanding component targeted in the current testing, monitoring, or adjustment task. It is usually composed of an expanding cone, a connecting shaft, a supporting structure, etc., and is a key component for performing the expanding operation. Generally speaking, due to the different types, materials, and expanding characteristics of the expanding heads, the above-mentioned multi-modal mechanical property testing management system needs to simulate different expanding environments according to different expanding heads. Therefore, the expanding head undergoing the simulation test can be regarded as the above-mentioned target expanding head, and during the test process, tests and detections are carried out on expanding indexes such as the expanding force conversion efficiency, friction coefficient / lubrication performance, fit clearance and running stability, and thermal deformation of the expanding head. Through the testing and optimization of the "target expanding head", quantitative analysis of the performance during the expanding process, fault warning, and structural design verification can be achieved.

[0032] The above-mentioned expanding action can refer to the process in the above-mentioned multi-modal mechanical property testing management system where, under the drive control of an expanding device, the expanding head performs radial expansion deformation on a workpiece to be processed (such as metal pipe fittings, pipe segments, etc.). Specifically, the expanding action usually involves the main oil cylinder or servo drive unit pushing the expanding head to axially insert into the workpiece, and at the same time relying on the conical structure of the expanding head to achieve progressive expansion of the pipe wall, so that the inner diameter of the workpiece reaches the preset specification. It can be understood that the process of the above-mentioned expanding action can include but is not limited to the advancing stage of the expanding head: the expanding head starts from a stationary state and advances forward at a set speed, gradually entering the inside of the steel pipe or simulated load workpiece; The deformation stage of the expanding section: As the expanding head advances, the pipe wall of the workpiece undergoes plastic deformation under the action of axial thrust to complete the expansion of the pipe diameter; The pressure holding / slow retraction stage: After the expansion is completed, the expanding head remains or slowly withdraws to maintain the deformation stability and avoid rebound deformation.

[0033] It should be noted that during the execution process of the expanding action, the above-mentioned multi-modal mechanical property testing management system usually synchronously collects operation data such as pressure, displacement, and current to real-time monitor the force state and movement stability of the expanding head, and trigger adjustment strategies in abnormal states.

[0034] The above-mentioned performance test data can include but is not limited to pressure data, displacement data, and current data. Among them, the pressure data is the load borne by the target expanding head during the expanding action, and the displacement data is the movement path of the target expanding head during the expanding action. The above-mentioned performance test data can be synchronously collected through sensors such as pressure, displacement, and current deployed in the above-mentioned multi-modal mechanical property testing management system during the implementation of the expanding action, and input into the corresponding database in the system for subsequent analysis and use.

[0035] In a possible embodiment, the above-mentioned multimodal mechanical property test management system performs an expanding action on a target expanding head through a preset simulation loading device, and in the process, performance test data such as pressure, displacement, and current are collected in real time to reflect the true working state of the expanding head under simulated load. Through the above method steps, the expanding working condition can be efficiently restored without the actual steel pipe, the test cost can be reduced, and at the same time, accurate data support can be provided for subsequent anomaly identification and performance adjustment, improving the intelligence and reliability of the expanding test.

[0036] 202. Analyze the performance test data to determine at least one corresponding abnormal test data.

[0037] In the embodiment of the present invention, the above-mentioned multimodal mechanical property test management system can process and analyze the expanding process parameters collected in real time through the control system, identify the trend changes, abnormal patterns or behaviors deviating from the normal operating range in the data, and use means such as setting threshold judgment, trend fitting, change rate detection or model-based algorithm reasoning to identify and determine potential problems, extract key characteristic values, and provide a basis for optimizing the expanding performance.

[0038] The above-mentioned abnormal test data may refer to the operating data in which some test data collected during the expanding process deviate from the normal range or show abnormal patterns, such as abnormal pressure peaks, displacement stagnation, sudden increase in current, etc. Generally speaking, the above-mentioned abnormal test data can be used to reflect abnormal states such as abnormal load, poor lubrication or component failure during the expanding process. By analyzing the above-mentioned abnormal test data, the above-mentioned multimodal mechanical property test management system can identify and record in time to achieve a closed-loop expanding control and risk warning.

[0039] 203. Based on at least one abnormal test data, determine the corresponding performance adjustment parameters of the target expanding head during the expanding work.

[0040] In the embodiment of the present invention, the above-mentioned performance adjustment parameters may refer to a set of expanding operation control variables generated by the above-mentioned multimodal mechanical property test management system according to preset rules or intelligent algorithms after identifying the abnormal expanding state, which are used to correct the expanding behavior, relieve the system load or optimize the operation rhythm. Generally, the performance adjustment parameters may include but are not limited to expanding speed, upper limit of cylinder thrust, lubrication frequency, expanding path stroke limit, etc., and can be combined as needed to adapt to different abnormal types and working condition requirements.

[0041] 204. Adjust the performance parameters of the target expanding head during the expanding work based on the performance adjustment parameters.

[0042] In an embodiment of the present invention, in a possible embodiment, the above-mentioned multi-modal mechanical property test management system performs an expanding action on a target expanding head through a preset simulation loading device, and simultaneously collects performance test data such as pressure, displacement, and current during the expanding process, and performs real-time analysis based on this data to identify abnormal operating states and automatically generate corresponding performance adjustment parameters for dynamically regulating key operating parameters such as expanding speed, thrust, and lubrication, so as to achieve closed-loop optimization control of the expanding process.

[0043] Through the above method steps, the stability and intelligent level of the expanding process can be effectively improved, the failure rate and the frequency of manual intervention can be reduced, and the consistency, accuracy, and service life of the expanded products can be improved.

[0044] In an embodiment of the present invention, an expanding action is performed on a target expanding head through a preset simulation loading device, and the performance test data of the target expanding head is collected in real time; the performance test data is analyzed to determine at least one corresponding abnormal test data; based on the at least one abnormal test data, the performance adjustment parameters corresponding to the target expanding head during the expanding operation are determined; the performance parameters of the target expanding head during the expanding operation are adjusted based on the performance adjustment parameters. By performing real-time monitoring and analysis on the key performance parameters during the expanding process through the above method steps, it is possible to identify and locate the source of the problem when the expanding head is in an abnormal operating state, and then dynamically adjust the expanding speed, expanding stroke, thrust setting, or lubrication control strategy according to the identification result, so as to achieve closed-loop optimization control of the expanding process and improve the accuracy and efficiency during the expanding process.

[0045] Optionally, before performing the expanding action on the target expanding head through the preset simulation loading device and collecting the performance test data of the target expanding head in real time, the surface of the target expanding head can also be identified through a preset camera module to determine the oil film data on the surface of the target expanding head; the oil output and oil output pressure of the lubricating oil are determined; based on the oil output, oil output pressure, oil film uniformity, and oil film thickness of the lubricating oil, the lubrication degree of the target expanding head is determined; if the lubrication degree reaches the preset expanding condition, the expanding action is performed on the target expanding head through the preset simulation loading device.

[0046] In an embodiment of the present invention, the above-mentioned preset camera module can be a high-definition image acquisition device installed near the working area of the expanding head for obtaining the surface image of the expanding head. Generally speaking, this preset camera module can be called during the lubrication detection stage and perform real-time imaging scanning on the surface of the expanding head to provide basic image information for subsequent oil film identification and image analysis.

[0047] In a possible embodiment, the above multi-modal mechanical property test management system analyzes and processes the surface image of the expanding head collected by a preset camera module through an image processing and analysis algorithm, extracts the oil film distribution characteristic information therein, such as the information set about the lubricating oil layer on the surface of the expanding head obtained through image recognition, which is mainly used for measuring the oil film data of the lubrication state, including but not limited to data such as oil film uniformity and oil film thickness for evaluating the presence, distribution range, thickness change, and oil film quality, etc.

[0048] Specifically, the above oil film uniformity refers to the overall consistency degree of the distribution of lubricating oil on the surface of the expanding head, which is usually obtained through analysis of image brightness distribution, color density, or reflection difference. Generally speaking, the better the uniformity, the more consistent the oil film brightness.

[0049] The above oil film thickness can be indirectly calculated through methods such as gray-scale estimation or laser ranging by an image analysis algorithm, and is used to determine the vertical thickness of the lubricating oil layer on the surface of the target expanding head.

[0050] The above oil output refers to the volume or mass of lubricating oil delivered by the lubrication system to each lubrication point of the expanding head per unit time, usually measured in mL / min or g / min. The above oil output pressure refers to the pressure value of the lubricating oil during the transportation process in the lubrication system, usually expressed in MPa or bar, and is monitored in real time by a pressure sensor.

[0051] The above lubrication degree can be the comprehensive evaluation result of the current lubrication state of the expanding head calculated by the above multi-modal mechanical property test management system based on multiple parameters such as oil film data, oil output, and oil output pressure. Generally speaking, the above lubrication degree can be divided into multiple levels (such as sufficient, critical, insufficient), which is one of the control conditions for judging whether to allow the expansion action to start, and can feedback the expansion feedback of the target expanding head under the current expansion conditions.

[0052] The above preset expansion conditions can refer to the threshold conditions of the lubrication state required by the above multi-modal mechanical property test management system before performing the expansion action, and usually can include but not limited to thresholds such as the minimum oil film thickness, minimum oil output, minimum oil output pressure, and oil film uniformity standard, etc.

[0053] In a possible embodiment, before performing the expansion action, the above multi-modal mechanical property test management system collects and recognizes images of the surface of the target expanding head through a preset camera module, extracts oil film data such as oil film thickness and uniformity, and combines the oil output and oil output pressure of the lubrication system to comprehensively judge the lubrication degree of the expanding head; only when the lubrication degree reaches the preset expansion conditions, the simulation loading device is started to perform the expansion action.

[0054] Through the above method steps, it is possible to effectively simulate and avoid the sizing operation under the condition of insufficient lubrication, reduce the risk of friction and wear, and improve the stability of the sizing process and the service life of the sizing head.

[0055] Optionally, in the step of performing a sizing action on the target sizing head through a preset simulation loading device and collecting performance test data of the target sizing head in real time, it further includes collecting pressure data of the target sizing head through a preset pressure sensor to determine the pressure data for performing the sizing action on the target sizing head; collecting displacement data of the target sizing head through a preset displacement sensor to determine the displacement data for performing the sizing action on the target sizing head; and analyzing the sizing thrust and displacement information according to a preset electric drive load to determine the corresponding current data.

[0056] In the embodiment of the present invention, the above-mentioned preset pressure sensor may refer to a pressure detection element installed in the hydraulic circuit of the sizing system, usually arranged at the hydraulic interfaces of the main cylinder and the preset simulation loading device, for real-time sensing of the oil pressure change during the sizing process, and its output signal can accurately reflect the axial thrust received by the sizing head at present.

[0057] Specifically, the hydraulic data generated during operation can be continuously sampled and recorded through the above-mentioned preset pressure sensor. It can be understood that the sampling frequency can reach the millisecond level through PLC or data acquisition module control, and is used to construct a time series of thrust changes during the sizing process.

[0058] The above-mentioned pressure data may refer to the working pressure value of the hydraulic system measured by the pressure sensor during the execution of the sizing action, reflecting the thrust intensity borne by the sizing head at each moment.

[0059] The above-mentioned preset displacement sensor may refer to a displacement measurement element installed on the axial movement path of the sizing head. Common forms include LVDT linear displacement sensors, grating scales or magnetic encoders, for real-time recording of the linear displacement position of the sizing head to form displacement trajectory data of the entire process of the sizing action.

[0060] Specifically, the movement process of the sizing head can be monitored in real time through the above-mentioned preset displacement sensor to obtain its position change data, and it is monitored whether the sizing stroke is continuous and whether the speed is stable.

[0061] The above-mentioned displacement data may be a numerical set of the positions of the sizing head at each moment during the sizing process, usually organized in a time series.

[0062] The above-mentioned preset electric drive load may refer to the target electric drive power or load state set during the test or operation of the sizing equipment, for simulating the actual working conditions or controlling experimental variables.

[0063] The above-mentioned diameter expansion thrust can be the axial force exerted by the target diameter expansion head on the inner wall of the workpiece during the diameter expansion process, usually obtained by converting the oil cylinder pressure through the piston area. Since an excessive diameter expansion action may cause structural damage and a too small one may result in insufficient diameter expansion, the diameter expansion thrust can be determined through the above method steps.

[0064] The above displacement information can refer to the real-time position change data during the diameter expansion action, including comprehensive parameters such as the current displacement value, movement direction, start and end points of the stroke, and moving speed.

[0065] In a possible embodiment, the process of the above multi-modal mechanical property test management system for processing and judging the current diameter expansion state based on the collected pressure data, displacement information, and electric drive settings through a control algorithm or data model may include, but is not limited to, detection items such as peak detection, fluctuation trend recognition, and power calculation, for deriving current data or identifying abnormal states.

[0066] In another possible embodiment, while the above multi-modal mechanical property test management system simulates the diameter expansion action of the target diameter expansion head, it respectively collects the pressure data and displacement data generated during the diameter expansion process through preset pressure sensors and displacement sensors, and combines the set electric drive load to comprehensively analyze the diameter expansion thrust and displacement information, and calculates the corresponding current data to reflect the load response of the drive system.

[0067] Through the above method steps, the real-time monitoring and feedback of multi-modal mechanical data during the diameter expansion process are realized, which helps to accurately identify diameter expansion anomalies, optimize energy consumption control, and improve the reliability and accuracy of the diameter expansion test.

[0068] Optionally, in the step of analyzing the performance test data to determine at least one corresponding abnormal test data, it further includes comparing the pressure data with a preset pressure threshold to determine the corresponding pressure abnormal test data; performing a linear change detection on the displacement data, and if there is a linear change, determining the corresponding displacement abnormal test data; and performing real-time monitoring on the current data, and if an instantaneous fluctuation state or a continuous climbing state appears, determining the corresponding current abnormal test data.

[0069] In an embodiment of the present invention, the above-mentioned preset pressure threshold may refer to the upper pressure limit value or interval threshold preset in advance by the above-mentioned multi-modal mechanical property test management system based on data such as the structure design of the pipe expanding device, historical test data, and material properties, and is used to determine whether the loading during the pipe expanding process is abnormal. It can be understood that the above-mentioned preset pressure threshold can be stored in the system database, automatically called by the controller during the data acquisition process, and compared with the pressure data obtained in real time. The above-mentioned pressure data can be collected in real time by pressure sensors installed at both ends of the pipe expanding cylinder, and the standard analog signal or digital signal is output and input into the data acquisition card or PLC module.

[0070] The above-mentioned pressure abnormal test data may refer to the pressure value data collected by the above-mentioned multi-modal mechanical property test management system during the pipe expanding operation and not conforming to the preset pressure threshold. For example, when the pressure exceeds the upper limit threshold, it may indicate problems such as excessive pipe expanding resistance and mechanical jamming. It can be understood that this data can be collected by the aforementioned pressure sensors, and whether it belongs to the abnormal range is judged in real time through the control system, automatically marked as abnormal and recorded in the log or alarm module.

[0071] In a possible embodiment, the displacement data of the pipe expanding head during the pipe expanding process can be subjected to trend analysis to judge whether it shows a stable linear growth over time and conforms to the normal pipe expanding rhythm, so as to achieve the purpose of detecting the linear change of the target pipe expanding head. Specifically, it can be realized through time series displacement data by using a sliding window or linear regression algorithm. The corresponding displacement data is obtained through displacement sensors (such as LVDT, magnetic grating ruler, etc.) installed on the pipe expanding propulsion mechanism, and then the displacement signal output by the sensor is collected and input into the upper control system for continuous trend analysis.

[0072] The above-mentioned displacement abnormal test data may refer to the data in which the actual running trajectory of the target pipe expanding head significantly deviates from the expected linear pipe expanding trajectory. Common abnormal manifestations include displacement stagnation, retraction, overshoot, etc. Generally, the displacement data can be collected by displacement sensors and uploaded to the control system in real time, and whether it constitutes an abnormality is analyzed and judged by the built-in linear trend detection module. Once identified, it is automatically recorded and marked.

[0073] The above-mentioned instantaneous fluctuation state may refer to the phenomenon that the current signal changes violently within a very short time (such as dozens of milliseconds), usually representing that the drive system suddenly encounters resistance or load changes. The current of the pipe expanding drive motor can be collected in real time by a high-frequency current sensor (such as a Hall current sensor).

[0074] The above-mentioned continuous climbing state may refer to the trend that the current value continuously increases during the diameter expansion process and remains unchanged for a long time, reflecting problems such as continuously increasing load during diameter expansion or increased friction caused by lubrication failure. Specifically, the current can be collected and provided by a current sensor or a frequency converter feedback module in the motor power supply circuit. The above-mentioned multi-modal mechanical property test management system records it at a certain sampling frequency, and judges whether the climbing trend meets the abnormal conditions through moving average or gradient analysis. It can be understood that if there is an instantaneous fluctuation or the current acquisition result of the continuous climbing state during the diameter expansion process, it represents that there are situations such as load imbalance and unstable response of the electric drive system in a certain period of the diameter expansion system. At this time, the current data is determined as abnormal current test data.

[0075] In a possible embodiment, the above-mentioned multi-modal mechanical property test management system real-time collects multi-modal performance data such as pressure, displacement and current during the diameter expansion process, and conducts intelligent analysis through a set abnormal identification mechanism: including comparing the pressure data with a preset pressure threshold to identify an abnormal loading state; detecting the linear change of the displacement data to judge whether there is displacement jamming or offset; and identifying instantaneous fluctuations and continuous climbing of the current data to discover abnormal load or abnormal energy consumption conditions.

[0076] Through the above method steps, various types of abnormalities during the diameter expansion process can be accurately identified, effectively improving the diameter expansion fault warning ability and test response efficiency, and ensuring the stability of the test system operation and the accuracy of data analysis.

[0077] Optionally, in the step of determining the performance adjustment parameters corresponding to the target diameter expansion head during the diameter expansion operation based on at least one abnormal test data, it further includes determining the corrected thrust data for adjusting the diameter expansion correspondingly when detecting the pressure abnormal test data; determining the corrected stroke limit data for adjusting the diameter expansion correspondingly when detecting the displacement abnormal test data; determining the lubrication correction parameters for adjusting the diameter expansion correspondingly when detecting the current abnormal test data; and determining the performance adjustment parameters corresponding to the target diameter expansion head during the diameter expansion operation based on at least one of the corrected thrust data, the corrected stroke limit data, and the lubrication correction parameters.

[0078] In the embodiment of the present invention, the above-mentioned performance adjustment parameters can be used to correct the abnormal diameter expansion action of the target diameter expansion head during the diameter expansion operation through the corrected thrust data, the corrected stroke limit data, and the lubrication correction parameters.

[0079] Specifically, the above-mentioned corrected thrust data can be a corrected thrust value for controlling the loading device recalculated based on the deviation between the target thrust curve and the actual data after identifying the pressure abnormality during the diameter expansion process.

[0080] The above-mentioned corrected stroke limit data can be the new stroke end point or limit interval set according to the standard action range after identifying abnormal displacement of the expanding head (such as insufficient stroke, overshoot, etc.), and is used to adjust the maximum or minimum operable distance of the expanding head.

[0081] The above-mentioned lubrication correction parameters can refer to the adjusted values of lubrication strategy parameters calculated for the abnormal current state (usually referring to abnormal load) during the expanding process, such as adjusting the oil supply pressure, oil quantity, injection interval or viscosity selection of the lubricating oil.

[0082] In a possible embodiment, when the above-mentioned multi-modal mechanical property test management system identifies abnormal pressure, it compares the current thrust curve with the target thrust curve, calculates the corrected loading curve, and through the control valve group of the servo hydraulic drive device, converts the corrected thrust data into an opening command for adjusting the hydraulic proportional valve to dynamically adjust the loading speed and pressure value of the expanding cylinder to achieve soft adjustment of the thrust. When the above-mentioned multi-modal mechanical property test management system detects abnormal displacement (such as the expanding head not advancing up to standard or overshooting), by analyzing the deviation between the real-time displacement and the expected curve, it generates a corrected stroke boundary, sends this data to the expanding head control unit or PLC, and dynamically updates the determination upper limit or stop position threshold of the displacement sensor, and then adjusts the end stop position or return starting point in the next expansion. When the above-mentioned multi-modal mechanical property test management system detects abnormal current, it determines that the friction of the expanding head drive mechanism is too large or the lubrication is insufficient, adjusts the lubrication coefficient through the correction parameters, which can specifically include increasing the oil supply pressure, increasing the oil output frequency or switching to a lubricating oil variety with a higher viscosity, and finally transmits the lubrication correction parameters to the electric lubrication pump control unit linked with it to achieve dynamic adjustment of the lubrication state.

[0083] Through the above-mentioned dynamic correction execution mechanisms in terms of thrust, stroke and lubrication, the multi-modal mechanical property test management system not only realizes the self-perception, self-correction and adaptive control of abnormalities during the expansion test process, but also improves the accuracy of the expansion action and the stability of equipment operation.

[0084] Optionally, in the step of adjusting the performance parameters of the target expanding head during the expansion operation based on the performance adjustment parameters, it further includes adjusting the thrust output and expansion speed of the target expanding head based on the corrected thrust data; adjusting the expansion stroke length of the target expanding head or determining the segmented expansion strategy based on the corrected stroke limit data; adjusting the oil output quantity, oil supply pressure and lubrication mode of the lubricating oil based on the lubrication correction parameters.

[0085] In the embodiments of the present invention, the above lubrication modes may include, but are not limited to, continuous lubrication, intermittent lubrication and other modes for adjusting the lubrication coefficient. Generally speaking, the lubrication coefficient can be changed by controlling the oil output and oil pressure, etc.

[0086] The above thrust output may refer to the axial force applied to the expanding head by an expanding driving mechanism (such as a hydraulic cylinder, an electric servo device, etc.) during the expanding process, which is used to push the expanding head to radially deform the pipe or component to be processed. Its unit is usually kilonewton (kN), and it is used to affect and feedback the expanding deformation effect and load matching control.

[0087] The above expanding speed may refer to the linear speed of the expanding head moving axially during the expanding action, usually measured in millimeters per second (mm / s). This parameter determines the rhythm and deformation rate of the expanding process. If it is too fast, it may lead to stress concentration and material rupture. If it is too slow, it will affect the test efficiency and equipment response. Specifically, by controlling the expanding speed, the coordination and matching of factors such as material rebound, stress release, and lubrication state can be achieved.

[0088] The above segmented expanding strategy refers to a control method in which the overall expanding stroke is divided into multiple stages. Different thrust values, speeds, and stop positions are set for each stage to achieve the expanding process control of gradual advancement and segmented forming. For example, when testing the expansion of a stainless steel pipe with a total expanding stroke of 100 mm, the system detects that one-time expansion may cause uneven wall thickness or stress concentration of the material. Therefore, the segmented expanding strategy is enabled, and the overall expanding process is divided into three stages: The first stage: the advancing stroke is 0–40 mm, the set thrust is 80 kN, and the expanding speed is 2 mm / s to ensure uniform initial deformation; The second stage: the advancing stroke is 40–70 mm, the expanding speed is appropriately reduced to 1.5 mm / s, and at the same time the thrust is increased to 90 kN to overcome the resistance in the middle section of the material; The third stage: the advancing stroke is 70–100 mm, the speed is further reduced to 1 mm / s, and the continuous lubrication mode is enabled to reduce frictional heat generation, and finally the entire expanding process is completed.

[0089] During the whole process, it pauses for several seconds after the end of each stage to collect sensor data and judge whether to terminate in advance or dynamically adjust the parameters of the next stage.

[0090] Through the above segmented expanding strategy for multi-stage progressive expansion, the instantaneous load impact is reduced, the forming accuracy is improved, and the risks of material springback and crack are effectively controlled.

[0091] In a possible embodiment, after obtaining the performance adjustment parameters, the above-mentioned multi-modal mechanical property test management system performs corresponding dynamic correction control based on different types of abnormal test data: when pressure abnormality is identified, the thrust output size and the expansion speed of the expanding head are adjusted to achieve stable loading; when displacement abnormality is identified, the expansion stroke length is reset, or a segmented expansion strategy is enabled to reduce structural stress concentration; when current abnormality is identified, the system adjusts the oil output volume, the oil output pressure, and the lubrication mode (including continuous lubrication and intermittent lubrication) of the lubricating oil to optimize the friction state.

[0092] Through the above method steps, the automatic correction and real-time adjustment of the expansion action parameters are realized, and the safety and accuracy of the expansion process are improved.

[0093] As Figure 3 shown, the embodiment of the present invention further provides a multi-modal mechanical property test management device 300, and the multi-modal mechanical property test management device 300 includes: A first acquisition module 301, configured to perform an expansion action on a target expanding head through a preset simulation loading device, and collect performance test data of the target expanding head in real time, where the test data includes pressure data, displacement data, and current data; A first analysis module 302, configured to analyze the performance test data to determine at least one corresponding abnormal test data; A first determination module 303, configured to determine performance adjustment parameters corresponding to the target expanding head during the expansion operation based on at least one of the abnormal test data; A first adjustment module 304, configured to adjust the performance parameters of the target expanding head during the expansion operation based on the performance adjustment parameters.

[0094] Optionally, the above device includes: A second determination module, configured to identify the surface of the target expanding head through a preset camera module to determine the oil film data of the surface of the target expanding head, where the oil film data includes oil film uniformity and oil film thickness; A third determination module, configured to determine the oil output volume and the oil output pressure of the lubricating oil; A fourth determination module, configured to determine the lubrication degree of the target expanding head based on the oil output volume, the oil output pressure, the oil film uniformity, and the oil film thickness of the lubricating oil; An expansion module, configured to perform an expansion action on the target expanding head through the preset simulation loading device if the lubrication degree reaches a preset expansion condition.

[0095] Optionally, the above first acquisition module 301 further includes: The first determination sub-module is configured to collect pressure data of the target expanding head through a preset pressure sensor, and determine the pressure data for the expanding action of the target expanding head; The second determination sub-module is configured to collect displacement data of the target expanding head through a preset displacement sensor, and determine the displacement data for the expanding action of the target expanding head; The third determination sub-module is configured to analyze the expanding thrust and displacement information according to a preset electric drive load, and determine the corresponding current data.

[0096] Optionally, the above-mentioned first analysis module 302 includes: The fourth determination sub-module is configured to compare the pressure data with a preset pressure threshold to determine the corresponding pressure anomaly test data; The fifth determination sub-module is configured to perform a linear change detection on the displacement data. If there is a linear change, determine the corresponding displacement anomaly test data; The sixth determination sub-module is configured to perform real-time monitoring on the current data. If an instantaneous fluctuation state or a continuous climbing state appears, determine the corresponding current anomaly test data.

[0097] Optionally, the above-mentioned first determination module 303 includes: The seventh determination sub-module is configured to determine the corresponding corrected thrust data for adjusting the expansion when detecting the pressure anomaly test data; The eighth determination sub-module is configured to determine the corresponding corrected stroke limit data for adjusting the expansion when detecting the displacement anomaly test data; The ninth determination sub-module is configured to determine the corresponding lubrication correction parameter for adjustment when detecting the current anomaly test data; The tenth determination sub-module is configured to determine the corresponding performance adjustment parameter of the target expanding head during the expanding operation based on at least one of the corrected thrust data, the corrected stroke limit data, and the lubrication correction parameter. The performance adjustment parameter is used to correct the abnormal expanding action of the target expanding head during the expanding operation through the corrected thrust data, the corrected stroke limit data, and the lubrication correction parameter.

[0098] Optionally, the above-mentioned first adjustment module 304 includes: The adjustment sub-module is configured to adjust the thrust output and the expanding speed of the target expanding head based on the corrected thrust data; The first correction sub-module is configured to adjust the expanding stroke length of the target expanding head or determine a segmented expanding strategy based on the corrected stroke limit data; The second correction sub-module is configured to adjust the oil output, the oil output pressure, and the lubrication mode of the lubricating oil based on the lubrication correction parameter. The lubrication mode includes continuous lubrication and intermittent lubrication.

[0099] As shown Figure 4 in the figure, an embodiment of the present invention further provides an electronic device 400, including a processor, and the above-mentioned processor can execute any one of the above-mentioned multimodal mechanical property test management methods.

[0100] Specifically, it includes a processor 401, a memory 402, and a computer program stored on the memory 402 and capable of running on the processor 401 to execute the multimodal mechanical property test management method, where: The processor 401 runs the calculator program of the multimodal mechanical property test management method stored in the memory 402 and executes the following steps: Perform an expansion action on the target expansion head through a preset simulation loading device, and collect performance test data of the target expansion head in real time. The test data includes pressure data, displacement data, and current data; Analyze the performance test data to determine at least one corresponding abnormal test data; Based on at least one of the abnormal test data, determine the performance adjustment parameters corresponding to the target expansion head during the expansion operation; Adjust the performance parameters of the target expansion head during the expansion operation based on the performance adjustment parameters.

[0101] Optionally, before the processor 401 executes the step of performing an expansion action on the target expansion head through a preset simulation loading device and collecting performance test data of the target expansion head in real time, the method further includes: Identify the surface of the target expansion head through a preset camera module to determine the oil film data on the surface of the target expansion head. The oil film data includes oil film uniformity and oil film thickness; Determine the oil output and oil outlet pressure of the lubricating oil; Based on the oil output, oil outlet pressure, oil film uniformity, and oil film thickness of the lubricating oil, determine the lubrication degree of the target expansion head; If the lubrication degree reaches the preset expansion condition, perform an expansion action on the target expansion head through the preset simulation loading device.

[0102] Optionally, when the processor 401 executes the step of performing an expansion action on the target expansion head through a preset simulation loading device and collecting performance test data of the target expansion head in real time, the test data includes pressure data, displacement data, and current data, and it includes: Collect pressure data of the target expansion head through a preset pressure sensor to determine the pressure data for performing an expansion action on the target expansion head; Collect displacement data of the target expanding head through a preset displacement sensor to determine the displacement data for the expanding action of the target expanding head. Analyze the expanding thrust and displacement information according to a preset electric drive load to determine the corresponding current data.

[0103] Optionally, the processor 401 executes the analysis of the performance test data to determine at least one corresponding abnormal test data, including: Compare the pressure data with a preset pressure threshold to determine the corresponding pressure abnormal test data. Conduct a linear change detection on the displacement data. If there is a linear change, determine the corresponding displacement abnormal test data. Monitor the current data in real time. If an instantaneous fluctuation state or a continuous climbing state appears, determine the corresponding current abnormal test data.

[0104] Optionally, the processor 401 executes to determine the corresponding performance adjustment parameters of the target expanding head during the expanding operation based on at least one of the abnormal test data, including: When detecting the pressure abnormal test data, determine the corrected thrust data for adjusting the expansion accordingly. When detecting the displacement abnormal test data, determine the corrected stroke limit data for adjusting the expansion accordingly. When detecting the current abnormal test data, determine the corresponding lubrication correction parameters. Based on at least one of the corrected thrust data, corrected stroke limit data, and lubrication correction parameters, determine the corresponding performance adjustment parameters of the target expanding head during the expanding operation. The performance adjustment parameters are used to correct the abnormal expanding action of the target expanding head during the expanding operation through the corrected thrust data, corrected stroke limit data, and lubrication correction parameters.

[0105] Optionally, the processor 401 executes to adjust the performance parameters of the target expanding head during the expanding operation based on the performance adjustment parameters, including: Based on the corrected thrust data, adjust the thrust output and expanding speed of the target expanding head. Based on the corrected stroke limit data, adjust the expanding stroke length of the target expanding head or determine a segmented expanding strategy. Based on the lubrication correction parameters, adjust the oil output, oil pressure, and lubrication mode of the lubricating oil. The lubrication mode includes continuous lubrication and intermittent lubrication.

[0106] The embodiments of the present invention also provide a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it implements each process of the multi-modal mechanical property test management method or the application-side multi-modal mechanical property test management method provided by the embodiments of the present invention, and can achieve the same technical effects. To avoid repetition, it will not be elaborated here.

[0107] Those of ordinary skill in the art can understand that all or part of the processes in the above-described embodiment methods can be completed by a computer program instructing related hardware, and the program can be stored in a computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-described methods. The storage medium can be a magnetic disk, an optical disk, a read-only memory (ROM), or a random access memory (RAM), etc.

[0108] The above-disclosed are only the preferred embodiments of the present invention. Of course, the scope of the rights of the present invention cannot be limited thereby. Therefore, equivalent changes made according to the claims of the present invention still fall within the scope covered by the present invention.

Claims

1. A multimodal mechanical property test management method, characterized in that, Including: Performing an expanding action on a target expanding head through a preset simulation loading device, and collecting performance test data of the target expanding head in real time, where the test data includes pressure data, displacement data, and current data; Analyzing the performance test data to determine at least one corresponding abnormal test data; Based on at least one of the abnormal test data, determining performance adjustment parameters corresponding to the target expanding head during the expanding operation; Adjusting the performance parameters of the target expanding head during the expanding operation based on the performance adjustment parameters.

2. The multimodal mechanical property test management method according to claim 1, characterized in that, Before performing the expanding action on the target expanding head through the preset simulation loading device and collecting the performance test data of the target expanding head in real time, the method further includes: Identifying the surface of the target expanding head through a preset camera module to determine the oil film data on the surface of the target expanding head, where the oil film data includes oil film uniformity and oil film thickness; Determining the oil output and oil pressure of the lubricating oil; Based on the oil output, oil pressure, oil film uniformity, and oil film thickness of the lubricating oil, determining the lubrication degree of the target expanding head; If the lubrication degree reaches a preset expanding condition, performing an expanding action on the target expanding head through the preset simulation loading device.

3. The multimodal mechanical property test management method according to claim 1, characterized in that Performing the expanding action on the target expanding head through the preset simulation loading device and collecting the performance test data of the target expanding head in real time, where the test data includes pressure data, displacement data, and current data, includes: Collecting pressure data of the target expanding head through a preset pressure sensor to determine the pressure data for performing the expanding action on the target expanding head; Collecting displacement data of the target expanding head through a preset displacement sensor to determine the displacement data for performing the expanding action on the target expanding head; Analyzing the expanding thrust and displacement information according to a preset electric drive load to determine the corresponding current data.

4. The multimodal mechanical property test management method according to claim 1, wherein Analyzing the performance test data to determine at least one corresponding abnormal test data, includes: Comparing the pressure data with a preset pressure threshold to determine the corresponding pressure abnormal test data; Performing a linear change detection on the displacement data, and if there is a linear change, determining the corresponding displacement abnormal test data; Monitoring the current data in real time, and if an instantaneous fluctuation state or a continuous climbing state appears, determining the corresponding current abnormal test data.

5. The multimodal mechanical property test management method according to claim 4, characterized in that Based on at least one of the abnormal test data, determining the performance adjustment parameters corresponding to the target expanding head during the expanding operation, includes: When detecting the pressure abnormal test data, determining the corrected thrust data for correspondingly adjusting the expansion; When detecting the displacement abnormal test data, determining the corrected stroke limit data for correspondingly adjusting the expansion; When detecting the current abnormal test data, determining the corresponding lubrication correction parameters. Based on at least one of the corrected thrust data, corrected stroke limit data, and lubrication correction parameters, determine the performance adjustment parameters corresponding to the target expander head during the expanding operation. The performance adjustment parameters are used to correct abnormal expanding actions of the target expander head during the expanding operation through the corrected thrust data, corrected stroke limit data, and lubrication correction parameters.

6. The multimodal mechanical property test management method according to claim 5, characterized in that, The adjustment of the performance parameters of the target expander head during the expanding operation based on the performance adjustment parameters includes: Based on the corrected thrust data, adjust the thrust output and expanding speed of the target expander head; Based on the corrected stroke limit data, adjust the expanding stroke length of the target expander head or determine a segmented expanding strategy; Based on the lubrication correction parameters, adjust the oil output, oil pressure, and lubrication mode of the lubricating oil. The lubrication mode includes continuous lubrication and intermittent lubrication.

7. A multimodal mechanical property test management device, characterized in that, It includes: A first acquisition module, configured to perform an expanding action on the target expander head through a preset simulation loading device and collect the performance test data of the target expander head in real time. The test data includes pressure data, displacement data, and current data; A first analysis module, configured to analyze the performance test data to determine at least one corresponding abnormal test data; A first determination module, configured to determine the performance adjustment parameters corresponding to the target expander head during the expanding operation based on at least one of the abnormal test data; A first adjustment module, configured to adjust the performance parameters of the target expander head during the expanding operation based on the performance adjustment parameters.

8. A multimodal mechanical property testing management system, characterized in that, The multimodal mechanical property test management system includes: a multimodal mechanical property test management device; The multimodal mechanical property test management device implements the multimodal mechanical property test management method according to claim 1.

9. An electronic device, characterized in that, It includes: A memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, it implements the steps in the multimodal mechanical property test management method according to any one of claims 1 to 6.

10. A computer-readable storage medium, characterized in that, A computer program is stored on the computer-readable storage medium. When the computer program is executed by the processor, it implements the steps in the multimodal mechanical property test management method according to any one of claims 1 to 6.

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