Hydraulic universal test system

Abstract

The invention provides a hydraulic universal test system, and relates to the technical field of material mechanics testing, and the system comprises a hydraulic monitoring module which is used for obtaining real-time monitoring data of target equipment based on a preset sensor, and carrying out the data processing of the real-time monitoring data, and obtaining first processing data; the analogue simulation module is used for establishing an initial hydraulic model of the target equipment so as to perform analogue simulation on the target equipment in combination with the first processing data and the equipment environment data to obtain a first simulation result; the instruction optimization module is used for analyzing the first simulation result in combination with any test sample of the target equipment so as to determine an instruction optimization strategy of the target equipment; and the optimization control module is used for performing real-time adjustment on the control instruction of the target equipment based on the instruction optimization strategy so as to realize optimization control on the target equipment. The simulation test is performed by establishing the hydraulic model, so that the test efficiency of the hydraulic universal test system can be improved, and meanwhile, the test flexibility and accuracy are greatly improved.

Description

Technical Field

[0001] The invention relates to the technical field of material mechanics testing, and in particular to a hydraulic universal testing system. Background Art

[0002] At present, although traditional hydraulic universal testing machines play an important role in material mechanics testing, they still have limitations in loading accuracy, measurement sensitivity, control automation and predictive analysis of test results.

[0003] In addition, the lack of systematic simulation model support makes it difficult to effectively predict material behavior before testing, limiting testing efficiency and accuracy.

[0004] Therefore, the present invention provides a hydraulic universal testing system. Summary of the invention

[0005] The present invention provides a hydraulic universal test system, which is used to establish a hydraulic model to perform simulation tests, thereby improving the test efficiency of the hydraulic universal test and greatly improving the test flexibility and accuracy.

[0006] The present invention provides a hydraulic universal testing system, comprising: Hydraulic monitoring module: used for acquiring real-time monitoring data of target equipment based on preset sensors, and performing data processing on the real-time monitoring data to obtain first processed data; Simulation module: used to establish an initial hydraulic model of the target equipment and obtain equipment environment parameters of the target equipment, so as to simulate the target equipment in combination with the first processed data and the equipment environment data to obtain a first simulation result; Instruction optimization module: used to analyze the first simulation result in combination with any test sample of the universal test of the target device, so as to determine the instruction optimization strategy of the target device; Optimization control module: used to adjust the control instructions of the target device in real time based on the instruction optimization strategy to achieve optimized control of the target device.

[0007] The hydraulic monitoring module provided by the present invention comprises: Data acquisition unit: used to acquire real-time monitoring data of target equipment based on preset sensors; Data processing unit: used for standardizing the real-time monitoring data to obtain first standard data; The second processing unit is used to obtain a first data type related to the target device and the hydraulic universal test, and extract data related to the first data type in the first standard data to obtain first processed data.

[0008] The preset sensor provided according to the present invention includes: a displacement sensor, a force sensor, an electronic extensometer, and a data acquisition card.

[0009] The simulation module provided by the present invention includes: Initial model building unit: used to select equipment components corresponding to the target equipment from the simulation component library, so as to build an initial hydraulic model of the target equipment; Model verification unit: used to verify the interface matching degree of each adjacent equipment component in the initial hydraulic model of the target equipment; If the interface matching degree is lower than the preset standard interface matching degree, the initial hydraulic model is optimized to obtain a first optimized hydraulic model; If the interface matching degree is higher than the preset standard interface matching degree, the initial hydraulic model is used as the first optimized hydraulic model of the target device; A parameter setting unit: used to set parameters of the first optimized hydraulic model based on the first processed data of the target device, and determine critical parameters of the first optimized hydraulic model based on the device performance parameters of the target device, thereby setting parameters to obtain a second optimized hydraulic model; A grid division unit: used for obtaining the test accuracy of the target equipment, and determining the model division of the second optimized hydraulic model based on the test accuracy to obtain a first division model set; Environmental impact unit: used to obtain real-time device environmental data of the target device, and predict a first impact degree of the real-time device environmental data on the target device based on the historical impact degree of the historical device environmental data on the target device; Simulation unit: used for inputting the first impact degree and the first partition model set into a preset virtual machine to perform model simulation and obtain a first simulation result.

[0010] The environmental impact unit provided by the present invention comprises: Data acquisition subunit: used to acquire the real-time device environment data of the target device, and extract the historical device environment parameters of the target device in the historical effective working process; Impact determination subunit: used to obtain the historical device response parameters of the target device corresponding to each historical device environment parameter, so as to determine the historical impact degree corresponding to each historical device environment parameter; Parameter matching subunit: used to compare the real-time device environment data with each historical device environment parameter, so as to extract the first historical device environment parameter with the highest matching degree of the real-time device environment parameter and the second historical device environment parameter with the second highest matching degree; An impact prediction subunit: used to comprehensively determine a first impact degree T of a target device corresponding to the real-time device environment data based on a first historical impact degree of a first historical device environment parameter and a second historical impact degree of a second historical device environment parameter; ; Where T is the first impact level of the target device, is the first historical impact level of the target device, is the second historical impact level of the target device, is a reference weight of the first historical impact degree on the first impact degree of the target device, is a reference weight of the second historical impact degree on the second impact degree of the target device, is the parameter influence weight of the i-th historical device environment parameter of the first historical device environment parameter corresponding to the first historical influence degree of the target device, is the parameter value of the i-th historical device environment parameter of the first historical device environment parameter corresponding to the first historical impact degree of the target device, is the parameter conversion coefficient of the i-th historical device environment parameter of the first historical device environment parameter corresponding to the first historical impact degree of the target device, is the historical device response parameter value of the target device corresponding to the i-th historical device environment parameter of the first historical device environment parameter corresponding to the first historical impact degree of the target device, is the standard device response parameter value of the target device corresponding to the i-th historical device environment parameter of the first historical device environment parameter corresponding to the first historical impact degree of the target device, is a parameter influence index of a response parameter value of a first historical device environment parameter corresponding to a first historical influence degree of the target device on the target device, is the parameter influence weight of the i-th historical device environment parameter of the second historical device environment parameter corresponding to the second historical influence degree of the target device, is the parameter value of the i-th historical device environment parameter of the second historical device environment parameter corresponding to the second historical impact degree of the target device, is the parameter conversion coefficient of the i-th historical device environment parameter of the second historical device environment parameter corresponding to the second historical impact degree of the target device, is the historical device response parameter value of the target device corresponding to the i-th historical device environment parameter of the second historical device environment parameter corresponding to the second historical impact degree of the target device, is the standard device response parameter value of the target device corresponding to the i-th historical device environment parameter of the second historical device environment parameter corresponding to the second historical impact degree of the target device, is the parameter impact index of the response parameter value of the second historical device environment parameter corresponding to the second historical impact degree of the target device on the target device, wherein different historical device environment parameters contain the same parameter type, and n is the number of parameter types in the first historical device environment parameter and the second historical device environment parameter.

[0011] The instruction optimization module provided according to the present invention includes: A first analysis unit: used for obtaining a test parameter type of a test sample of a target device for a universal test, and analyzing a first simulation result based on the test parameter type to obtain a first analysis result; A second analysis unit: used for comparing the first simulation result with the expected result of the target device, so as to obtain a second analysis result; Deviation determination unit: used for combining the first analysis result with the second analysis result to determine the simulation deviation of the simulation model; The second simulation unit is used to optimize the second optimized hydraulic model based on the simulation deviation, and re-simulate the model to obtain a second simulation result; A strategy determination unit is used to compare the second simulation result with a preset instruction strategy database to determine an instruction optimization strategy for the target device.

[0012] The instruction optimization module provided according to the present invention includes: Response judgment unit: used to obtain the real-time response time of the model simulation in real time, and judge whether the real-time response time is higher than the preset system response time; If the real-time response time is higher than the preset system response time, there is no need to perform model optimization on the second optimized hydraulic model; If the real-time response time is not higher than the preset system response time, the model parameters of the second optimized hydraulic model are optimized based on the response adjustment database.

[0013] The optimization control module provided by the present invention includes: An instruction adjustment unit: used for adjusting the control instruction of the target device in real time based on the instruction optimization strategy to obtain a second control instruction; Optimization control unit: used to optimize the control of the target device by combining the test requirements with the second control instructions.

[0014] Compared with the prior art, the beneficial effects of the present invention are as follows: the hydraulic universal test system provided by the present invention can improve the test efficiency of the hydraulic universal test by establishing a hydraulic model to conduct simulation tests, while greatly improving the test flexibility and accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0016] Figure 1 It is a structural diagram of a hydraulic universal testing system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0017] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0018] Embodiment 1: The embodiment of the present invention provides a universal hydraulic test system, such as Figure 1 As shown, including: Hydraulic monitoring module: used for acquiring real-time monitoring data of target equipment based on preset sensors, and performing data processing on the real-time monitoring data to obtain first processed data; Simulation module: used to establish an initial hydraulic model of the target equipment and obtain equipment environment parameters of the target equipment, so as to simulate the target equipment in combination with the first processed data and the equipment environment data to obtain a first simulation result; Instruction optimization module: used to analyze the first simulation result in combination with any test sample of the universal test of the target device, so as to determine the instruction optimization strategy of the target device; Optimization control module: used to adjust the control instructions of the target device in real time based on the instruction optimization strategy to achieve optimized control of the target device.

[0019] In this embodiment, the preset sensors include a displacement sensor, a force sensor, an electronic extensometer, and a data acquisition card, which are used to measure the displacement and force changes of the device and the device data of the target device.

[0020] In this embodiment, the real-time monitoring data refers to the displacement and force change data of the target device monitored by the preset sensor and the device data of the target device.

[0021] In this embodiment, the first processed data refers to data obtained by performing data standardization processing on the real-time monitoring data.

[0022] In this embodiment, the initial hydraulic model refers to a simulated hydraulic model constructed by selecting equipment components of the same type as the equipment components of the target equipment from a simulation component library.

[0023] In this embodiment, the device environment data includes external environment data such as the ambient temperature, ambient humidity, pressure, wind force, etc. of the target device.

[0024] In this embodiment, the first simulation result refers to a universal hydraulic test simulation result obtained by simulating the initial hydraulic model in combination with the equipment environment data.

[0025] In this embodiment, the instruction optimization strategy refers to an instruction adjustment strategy for changing the displacement and force of the target device determined based on the comparison between the first simulation result and the preset instruction strategy database.

[0026] In this embodiment, the control instruction refers to an adjustment control instruction for changing the displacement and force of the target device.

[0027] In this embodiment, for example, the universal testing system may be a material testing machine that integrates functions such as tension, bending, compression, shearing, and ring stiffness.

[0028] The beneficial effect of the above technical solution is that by establishing a hydraulic model and conducting simulation tests, the test efficiency of the hydraulic universal test can be improved, while the test flexibility and accuracy can be greatly improved.

[0029] Embodiment 2: Based on the first embodiment, the hydraulic monitoring module includes: Data acquisition unit: used to acquire real-time monitoring data of target equipment based on preset sensors; Data processing unit: used for standardizing the real-time monitoring data to obtain first standard data; The second processing unit is used to obtain a first data type related to the target device and the hydraulic universal test, and extract data related to the first data type in the first standard data to obtain first processed data.

[0030] In this embodiment, the preset sensors include a displacement sensor, a force sensor, an electronic extensometer, and a data acquisition card, which are used to measure the displacement and force changes of the device and the device data of the target device.

[0031] In this embodiment, the displacement sensor is used to measure the displacement change of the sample during the test. Common displacement sensors include photoelectric encoders, laser rangefinders, rope sensors, etc., which can record the small displacement of the sample with high precision. The force sensor is used to measure the force applied to the sample. The force sensor is usually installed at the end of the loading system, and can sense and convert the force applied to the sample into an electrical signal in real time. After these electrical signals are amplified and processed, the force condition of the sample can be obtained. The electronic extensometer is used to measure the strain of the sample. The electronic extensometer calculates the strain by measuring the small deformation of the sample surface. Data acquisition card: responsible for collecting, converting and storing the electrical signals output by sensors such as displacement sensors, force sensors and electronic extensometers. Data acquisition cards usually have the characteristics of high precision, high speed and multi-channel, which can meet the needs of complex test scenarios.

[0032] In this embodiment, the real-time monitoring data refers to the displacement and force change data of the target device monitored by the preset sensor and the device data of the target device.

[0033] In this embodiment, the first standard data refers to processed data obtained by standardizing the real-time monitoring data.

[0034] In this embodiment, the first processed data is obtained by extracting data corresponding to a first data type related to the hydraulic test from the first standard data.

[0035] The beneficial effect of the above technical solution is that by acquiring real-time monitoring data of the target device and performing data standardization processing and data extraction, the amount of data can be reduced, thereby improving the efficiency of the simulation test.

[0036] Embodiment 3: Based on the second embodiment, preset sensors include: a displacement sensor, a force sensor, an electronic extensometer, and a data acquisition card.

[0037] The beneficial effect of the above technical solution is that by acquiring real-time monitoring data of the target equipment based on preset sensors, and performing data standardization processing and data extraction, the amount of data can be reduced, thereby improving the efficiency of the simulation test.

[0038] Embodiment 4: Based on the second embodiment, the simulation module includes: Initial model building unit: used to select equipment components corresponding to the target equipment from the simulation component library, so as to build an initial hydraulic model of the target equipment; Model verification unit: used to verify the interface matching degree of each adjacent equipment component in the initial hydraulic model of the target equipment; If the interface matching degree is lower than the preset standard interface matching degree, the initial hydraulic model is optimized to obtain a first optimized hydraulic model; If the interface matching degree is higher than the preset standard interface matching degree, the initial hydraulic model is used as the first optimized hydraulic model of the target device; A parameter setting unit: used to set parameters of the first optimized hydraulic model based on the first processed data of the target device, and determine critical parameters of the first optimized hydraulic model based on the device performance parameters of the target device, thereby setting parameters to obtain a second optimized hydraulic model; A grid division unit: used for obtaining the test accuracy of the target equipment, and determining the model division of the second optimized hydraulic model based on the test accuracy to obtain a first division model set; Environmental impact unit: used to obtain real-time device environmental data of the target device, and predict a first impact degree of the real-time device environmental data on the target device based on the historical impact degree of the historical device environmental data on the target device; Simulation unit: used for inputting the first impact degree and the first partition model set into a preset virtual machine to perform model simulation and obtain a first simulation result.

[0039] In this embodiment, the simulation component library contains components corresponding to the actual hydraulic system, such as hydraulic cylinders, valves, pumps, oil tanks, etc.

[0040] In this embodiment, the initial hydraulic model refers to a simulated hydraulic model constructed by selecting equipment components of the same type as the equipment components of the target equipment from a simulation component library.

[0041] In this embodiment, the interface matching degree refers to the interface matching degree between the test sample used for measurement and the target device.

[0042] In this embodiment, the preset standard interface matching degree is an interface matching standard determined based on the test accuracy of the hydraulic universal test.

[0043] In this embodiment, the first optimized hydraulic model means that when the interface matching degree is higher than the preset standard interface matching degree, the initial hydraulic model is used as the first optimized hydraulic model of the target device; when the interface matching degree is lower than the preset standard interface matching degree, the elements in the initial hydraulic model are adjusted to achieve model optimization and obtain the first optimized hydraulic model.

[0044] In this embodiment, parameter setting refers to setting parameters of hydraulic components, such as flow, pressure, viscosity, etc., to ensure consistency between the model and the actual equipment.

[0045] In this embodiment, the sample performance parameter refers to the performance parameter of the sample subjected to a universal test based on the target device.

[0046] In this embodiment, the critical parameter refers to a parameter boundary condition of each test sample determined based on the sample performance parameter of the test sample of the target device.

[0047] In this embodiment, the second optimized hydraulic model refers to determining critical parameters of the first optimized hydraulic model based on equipment performance parameters of the target equipment, thereby performing parameter setting to obtain the second optimized hydraulic model.

[0048] In this embodiment, the test accuracy refers to the test accuracy of the universal test of the target device, wherein the value range of the test accuracy is (0, 0.9999).

[0049] In this embodiment, the first partition model set refers to the model partitioning of the second optimized hydraulic model according to the test accuracy, wherein the more decimal places the test accuracy corresponds to, the more sub-models there are in the first partition model set.

[0050] In this embodiment, the device environment data includes external environment data such as the ambient temperature, ambient humidity, pressure, wind force, etc. of the target device, wherein the device environment data includes real-time device environment data and historical device environment data.

[0051] In this embodiment, the historical impact degree refers to the impact degree of the historical device environment data on the historical test results of the target device.

[0052] In this embodiment, the first impact degree refers to the impact degree of the real-time device environment data on the test result of the target device predicted based on the historical impact degree corresponding to the historical device environment data.

[0053] In this embodiment, the first simulation result refers to a universal hydraulic test simulation result obtained by simulating the initial hydraulic model in combination with the equipment environment data. For example, for hydraulic system simulation, commonly used software includes AMESim, MATLAB / Simulink, EASY5, etc.

[0054] The beneficial effect of the above technical solution is: by establishing an initial hydraulic model and optimizing the model, the optimized hydraulic model can better meet the simulation requirements, thereby conducting more accurate simulation tests, improving the test efficiency of the hydraulic universal test, and greatly improving the test flexibility and accuracy.

[0055] Embodiment 5: Based on Example 4, the environmental impact unit includes: Data acquisition subunit: used to acquire the real-time device environment data of the target device, and extract the historical device environment parameters of the target device in the historical effective working process; Impact determination subunit: used to obtain the historical device response parameters of the target device corresponding to each historical device environment parameter, so as to determine the historical impact degree corresponding to each historical device environment parameter; Parameter matching subunit: used to compare the real-time device environment data with each historical device environment parameter, so as to extract the first historical device environment parameter with the highest matching degree of the real-time device environment parameter and the second historical device environment parameter with the second highest matching degree; An impact prediction subunit: used to comprehensively determine a first impact degree T of a target device corresponding to the real-time device environment data based on a first historical impact degree of a first historical device environment parameter and a second historical impact degree of a second historical device environment parameter; ; Where T is the first impact level of the target device, is the first historical impact level of the target device, is the second historical impact level of the target device, is a reference weight of the first historical impact degree on the first impact degree of the target device, is a reference weight of the second historical impact degree on the second impact degree of the target device, is the parameter influence weight of the i-th historical device environment parameter of the first historical device environment parameter corresponding to the first historical influence degree of the target device, is the parameter value of the i-th historical device environment parameter of the first historical device environment parameter corresponding to the first historical impact degree of the target device, is the parameter conversion coefficient of the i-th historical device environment parameter of the first historical device environment parameter corresponding to the first historical impact degree of the target device, is the historical device response parameter value of the target device corresponding to the i-th historical device environment parameter of the first historical device environment parameter corresponding to the first historical impact degree of the target device, is the standard device response parameter value of the target device corresponding to the i-th historical device environment parameter of the first historical device environment parameter corresponding to the first historical impact degree of the target device, is a parameter influence index of a response parameter value of a first historical device environment parameter corresponding to a first historical influence degree of the target device on the target device, is the parameter influence weight of the i-th historical device environment parameter of the second historical device environment parameter corresponding to the second historical influence degree of the target device, is the parameter value of the i-th historical device environment parameter of the second historical device environment parameter corresponding to the second historical impact degree of the target device, is the parameter conversion coefficient of the i-th historical device environment parameter of the second historical device environment parameter corresponding to the second historical impact degree of the target device, is the historical device response parameter value of the target device corresponding to the i-th historical device environment parameter of the second historical device environment parameter corresponding to the second historical impact degree of the target device, is the standard device response parameter value of the target device corresponding to the i-th historical device environment parameter of the second historical device environment parameter corresponding to the second historical impact degree of the target device, is the parameter impact index of the response parameter value of the second historical device environment parameter corresponding to the second historical impact degree of the target device on the target device, wherein different historical device environment parameters contain the same parameter type, and n is the number of parameter types in the first historical device environment parameter and the second historical device environment parameter.

[0056] In this embodiment, the device environment data includes external environment data such as the ambient temperature, ambient humidity, pressure, wind force, etc. of the target device, wherein the device environment data includes real-time device environment data and historical device environment data.

[0057] In this embodiment, the historical response parameter refers to a response change parameter of the target device from issuing a control instruction to executing the control instruction during a historical effective working process.

[0058] In this embodiment, the historical impact degree refers to the impact degree of each historical device environment data of the target device on the test result of the target device.

[0059] In this embodiment, the first historical device environment parameter refers to a device environment parameter extracted from the historical device environment parameters of the target device and having the highest degree of consistency with the real-time device environment parameter.

[0060] In this embodiment, the second historical device environment parameter refers to a device environment parameter extracted from the historical device environment parameters of the target device and having the second highest degree of consistency with the real-time device environment parameter.

[0061] In this embodiment, the first historical impact degree refers to the impact degree of the first historical device environment parameter on the test result of the target device, and the second historical impact degree refers to the impact degree of the second historical device environment parameter on the test result of the target device.

[0062] In this embodiment, the first impact degree refers to the weighted average of the first historical impact degree of the first historical device environment parameter and the second historical impact degree of the second historical device environment parameter, thereby determining the environmental impact degree of the real-time device environment data of the target device on the target device.

[0063] The beneficial effect of the above technical solution is: by optimizing the initial hydraulic model in combination with the equipment environment parameters, the optimized hydraulic model can better meet the simulation requirements, thereby conducting more accurate simulation tests, improving the test efficiency of the hydraulic universal test, and greatly improving the test flexibility and accuracy.

[0064] Embodiment 6: Based on Example 4, the instruction optimization module includes: A first analysis unit: used for obtaining a test parameter type of a test sample of a target device for a universal test, and analyzing a first simulation result based on the test parameter type to obtain a first analysis result; A second analysis unit: used for comparing the first simulation result with the expected result of the target device, so as to obtain a second analysis result; Deviation determination unit: used for combining the first analysis result with the second analysis result to determine the simulation deviation of the simulation model; The second simulation unit is used to optimize the second optimized hydraulic model based on the simulation deviation, and re-simulate the model to obtain a second simulation result; A strategy determination unit is used to compare the second simulation result with a preset instruction strategy database to determine an instruction optimization strategy for the target device.

[0065] In this embodiment, the test parameter types include parameters such as the loading speed and force range of the target device.

[0066] In this embodiment, the first analysis result refers to analyzing the first simulation result according to the test parameter type to determine the stress-strain curve of the material, comparing it with the experimental data to verify and determine the result difference, and then analyzing the result difference.

[0067] In this embodiment, the second analysis result refers to a result difference between the first simulation result and the expected result of the target device determined by comparing the first simulation result with the expected result of the target device, thereby analyzing the result difference.

[0068] In this embodiment, the simulation deviation refers to the result difference of the first simulation result determined based on the first analysis result and the second analysis result, so as to determine the parameter deviation of the simulation of the target device based on the result difference.

[0069] In this embodiment, the second simulation result refers to a simulation result obtained by re-simulating after adjusting the second optimized hydraulic model based on the simulation deviation.

[0070] In this embodiment, the instruction optimization strategy refers to an instruction adjustment strategy for changing the displacement and force of the target device determined based on the comparison between the second simulation result and the preset instruction strategy database.

[0071] The beneficial effect of the above technical solution is: by analyzing the simulation results, the instruction optimization strategy of the target equipment is determined based on the analysis results, so that the hydraulic test of the target equipment can be made more efficient and more accurate.

[0072] Embodiment 7: Based on Example 6, the instruction optimization module further includes: Response judgment unit: used to obtain the real-time response time of the model simulation in real time, and judge whether the real-time response time is higher than the preset system response time; If the real-time response time is higher than the preset system response time, there is no need to perform model optimization on the second optimized hydraulic model; If the real-time response time is not higher than the preset system response time, the model parameters of the second optimized hydraulic model are optimized based on the response adjustment database.

[0073] In this embodiment, the real-time response time refers to the time taken for the target device to issue a control instruction and execute the control instruction.

[0074] In this embodiment, the preset system response time is a system response time predetermined according to the device type and device status of the target device.

[0075] In this embodiment, the model parameters refer to parameters of equipment components that can be adjusted in the second optimized hydraulic model.

[0076] The beneficial effect of the above technical solution is that by analyzing the real-time response time of the simulation, the second optimized hydraulic model is optimized, so that the hydraulic test of the target equipment can be made more efficient and more accurate.

[0077] Embodiment 8: Based on Example 7, the optimization control module includes: An instruction adjustment unit: used for adjusting the control instruction of the target device in real time based on the instruction optimization strategy to obtain a second control instruction; Optimization control unit: used to optimize the control of the target device by combining the test requirements with the second control instructions.

[0078] In this embodiment, the instruction optimization strategy refers to an instruction adjustment strategy for changing the displacement and force of the target device determined based on the comparison between the second simulation result and the preset instruction strategy database.

[0079] In this embodiment, the control instruction refers to an adjustment control instruction for changing the displacement and force of the target device.

[0080] In this embodiment, the second control instruction is obtained by adjusting the control instruction of the target device based on the instruction optimization strategy.

[0081] In this embodiment, the test demand refers to the real-time demand of the target device for performing the universal hydraulic test. For example, the test demand is affected by environmental factors and user needs.

[0082] The beneficial effect of the above technical solution is: by adjusting the control instructions, the optimized control of the target device is achieved, which can make the control of the target device more accurate and effective.

[0083] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A hydraulic universal testing system, characterized in that: include: Hydraulic monitoring module: used for acquiring real-time monitoring data of target equipment based on preset sensors, and performing data processing on the real-time monitoring data to obtain first processed data; Simulation module: used to establish an initial hydraulic model of the target equipment and obtain equipment environment parameters of the target equipment, so as to simulate the target equipment in combination with the first processed data and the equipment environment data to obtain a first simulation result; Instruction optimization module: used to analyze the first simulation result in combination with any test sample of the universal test of the target device, so as to determine the instruction optimization strategy of the target device; Optimization control module: used to adjust the control instructions of the target device in real time based on the instruction optimization strategy to achieve optimized control of the target device.

2. A hydraulic universal testing system according to claim 1, characterized in that: Hydraulic monitoring module, including: Data acquisition unit: used to acquire real-time monitoring data of target equipment based on preset sensors; Data processing unit: used for standardizing the real-time monitoring data to obtain first standard data; The second processing unit is used to obtain a first data type related to the target device and the hydraulic universal test, and extract data related to the first data type in the first standard data to obtain first processed data.

3. A hydraulic universal testing system according to claim 2, characterized in that: Preset sensors include: displacement sensor, force sensor, electronic extensometer, data acquisition card.

4. A hydraulic universal testing system according to claim 2, characterized in that: Simulation module, including: Initial model building unit: used to select equipment components corresponding to the target equipment from the simulation component library, so as to build an initial hydraulic model of the target equipment; Model verification unit: used to verify the interface matching degree of each adjacent equipment component in the initial hydraulic model of the target equipment; If the interface matching degree is lower than the preset standard interface matching degree, the initial hydraulic model is optimized to obtain a first optimized hydraulic model; If the interface matching degree is higher than the preset standard interface matching degree, the initial hydraulic model is used as the first optimized hydraulic model of the target device; A parameter setting unit: used to set parameters of the first optimized hydraulic model based on the first processed data of the target device, and determine critical parameters of the first optimized hydraulic model based on the device performance parameters of the target device, thereby setting parameters to obtain a second optimized hydraulic model; A grid division unit: used for obtaining the test accuracy of the target equipment, and determining the model division of the second optimized hydraulic model based on the test accuracy to obtain a first division model set; Environmental impact unit: used to obtain real-time device environmental data of the target device, and predict a first impact degree of the real-time device environmental data on the target device based on the historical impact degree of the historical device environmental data on the target device; Simulation unit: used for inputting the first impact degree and the first partition model set into a preset virtual machine to perform model simulation and obtain a first simulation result.

5. A hydraulic universal testing system according to claim 4, characterized in that: Environmental impact unit, including: Data acquisition subunit: used to acquire the real-time device environment data of the target device, and extract the historical device environment parameters of the target device in the historical effective working process; Impact determination subunit: used to obtain the historical device response parameters of the target device corresponding to each historical device environment parameter, so as to determine the historical impact degree corresponding to each historical device environment parameter; Parameter matching subunit: used to compare the real-time device environment data with each historical device environment parameter, so as to extract the first historical device environment parameter with the highest matching degree of the real-time device environment parameter and the second historical device environment parameter with the second highest matching degree; An impact prediction subunit: used to comprehensively determine a first impact degree T of a target device corresponding to the real-time device environment data based on a first historical impact degree of a first historical device environment parameter and a second historical impact degree of a second historical device environment parameter; ; Where T is the first impact level of the target device, is the first historical impact level of the target device, is the second historical impact level of the target device, is a reference weight of the first historical impact degree on the first impact degree of the target device, is a reference weight of the second historical impact degree on the second impact degree of the target device, is the parameter influence weight of the i-th historical device environment parameter of the first historical device environment parameter corresponding to the first historical influence degree of the target device, is the parameter value of the i-th historical device environment parameter of the first historical device environment parameter corresponding to the first historical impact degree of the target device, is the parameter conversion coefficient of the i-th historical device environment parameter of the first historical device environment parameter corresponding to the first historical impact degree of the target device, is the historical device response parameter value of the target device corresponding to the i-th historical device environment parameter of the first historical device environment parameter corresponding to the first historical impact degree of the target device, is the standard device response parameter value of the target device corresponding to the i-th historical device environment parameter of the first historical device environment parameter corresponding to the first historical impact degree of the target device, is a parameter influence index of a response parameter value of a first historical device environment parameter corresponding to a first historical influence degree of the target device on the target device, is the parameter influence weight of the i-th historical device environment parameter of the second historical device environment parameter corresponding to the second historical influence degree of the target device, is the parameter value of the i-th historical device environment parameter of the second historical device environment parameter corresponding to the second historical impact degree of the target device, is the parameter conversion coefficient of the i-th historical device environment parameter of the second historical device environment parameter corresponding to the second historical impact degree of the target device, is the historical device response parameter value of the target device corresponding to the i-th historical device environment parameter of the second historical device environment parameter corresponding to the second historical impact degree of the target device, is the standard device response parameter value of the target device corresponding to the i-th historical device environment parameter of the second historical device environment parameter corresponding to the second historical impact degree of the target device, is the parameter impact index of the response parameter value of the second historical device environment parameter corresponding to the second historical impact degree of the target device on the target device, wherein different historical device environment parameters contain the same parameter type, and n is the number of parameter types in the first historical device environment parameter and the second historical device environment parameter.

6. A hydraulic universal testing system according to claim 4, characterized in that: Instruction optimization module, including: A first analysis unit: used for obtaining a test parameter type of a test sample of a target device for a universal test, and analyzing a first simulation result based on the test parameter type to obtain a first analysis result; A second analysis unit: used for comparing the first simulation result with the expected result of the target device, so as to obtain a second analysis result; Deviation determination unit: used for combining the first analysis result with the second analysis result to determine the simulation deviation of the simulation model; The second simulation unit is used to optimize the second optimized hydraulic model based on the simulation deviation, and re-simulate the model to obtain a second simulation result; A strategy determination unit is used to compare the second simulation result with a preset instruction strategy database to determine an instruction optimization strategy for the target device.

7. A hydraulic universal testing system according to claim 6, characterized in that: Instruction optimization module, including: Response judgment unit: used to obtain the real-time response time of the model simulation in real time, and judge whether the real-time response time is higher than the preset system response time; If the real-time response time is higher than the preset system response time, there is no need to perform model optimization on the second optimized hydraulic model; If the real-time response time is not higher than the preset system response time, the model parameters of the second optimized hydraulic model are optimized based on the response adjustment database.

8. A hydraulic universal testing system according to claim 7, characterized in that: Optimized control module, including: An instruction adjustment unit: used for adjusting the control instruction of the target device in real time based on the instruction optimization strategy to obtain a second control instruction; Optimization control unit: used to optimize the control of the target device by combining the test requirements with the second control instructions.

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