CN117288570A - Automatic overpressure control method and system based on pressure testing machine - Google Patents
Automatic overpressure control method and system based on pressure testing machine Download PDFInfo
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Abstract
The application provides an automatic overpressure control method and system based on a pressure testing machine, and belongs to the technical field of equipment control. The method comprises the following steps: firstly, obtaining a pressure sensing value of a pressure sensing point, determining a target adjustment area according to the pressure sensing value of the pressure sensing point, generating multiple alternative adjustment strategies of the pressure testing machine, wherein the adjustment strategies are used for adjusting the contact position of the target adjustment area and a material to be tested, then obtaining pressure change data of the target adjustment area in a first test period, constructing a target pressure distribution prediction model according to the pressure change data in the first test period, finally screening out the target adjustment strategies from the multiple alternative adjustment strategies according to the target pressure distribution prediction model, and adjusting the target adjustment area based on the target adjustment strategies. The method aims at improving the problem that the material is in non-uniform contact with the pressure plate, so that the local stress of the pressure plate is overlarge, and the pressure tester has overvoltage faults.
Description
Technical Field
The application relates to the technical field of equipment control, in particular to an automatic overpressure control method and system based on a pressure testing machine.
Background
A pressure tester (Pressure Testing Machine) is a device for testing and evaluating the performance of an object, component or material under pressure. These tests are generally intended to simulate the pressure conditions to which the object is subjected in practical use, to ensure that it meets certain standards and specifications. The working principle of the pressure testing machine is based on that the material will generate a certain deformation under load, and the deformation is in a linear relation with the load. When the material resists the load applied by the pressure plate, a reaction force is generated, which is sensed by the load cell and converted into an electrical signal. When the special-shaped material is tested, the material is in non-uniform contact with the pressure plate, so that the local stress of the pressure plate is overlarge, and the pressure testing machine has overvoltage faults.
Disclosure of Invention
The embodiment of the application provides an automatic overpressure control method and system based on a pressure testing machine, which are used for solving the problems in the background technology.
In order to achieve the above purpose, the embodiments of the present application adopt the following technical solutions:
in a first aspect, there is provided an automatic overpressure control method based on a pressure testing machine, the pressure testing machine including a pressure plate provided with a plurality of pressure sensing points, the method comprising:
Acquiring a pressure sensing value of a pressure sensing point, and determining a target adjustment area according to the pressure sensing value of the pressure sensing point;
generating a plurality of alternative adjustment strategies of the pressure testing machine, wherein the adjustment strategies are used for adjusting the contact positions of the target adjustment areas and the materials to be tested;
acquiring pressure change data of a target adjustment area in a first test period, and constructing a target pressure distribution prediction model according to the pressure change data in the first test period;
and screening a target adjustment strategy from a plurality of alternative adjustment strategies according to the target pressure distribution prediction model, and adjusting the target adjustment area based on the target adjustment strategy.
According to the method and the device, the actual contact condition between the material to be measured and the pressure plate can be known by acquiring the pressure sensing value of the pressure sensing point. This helps to determine which areas there are non-uniform contacts, resulting in localized overstresses. Based on the actual pressure sensing data, a variety of alternative adjustment strategies may be generated that aim to adjust the contact location of the target area with the material under test to reduce non-uniform contact and localized overstress problems. By conducting experiments and recording pressure change data for the target area, pressure distribution problems caused by non-uniform contact can be quantified. And constructing a target pressure distribution prediction model. This model simulates the pressure distribution under different tuning strategies, helping to understand the root cause and potential solutions of the problem. By analysis of the model, target tuning strategies that result in a more uniform pressure distribution within the target area can be screened out. And further optimize the contact position, alleviate the too big problem of local stress.
In one possible embodiment, the pressure plate includes a plurality of sub-areas, acquires a pressure sensing value of the pressure sensing point, and determines a target adjustment area according to the pressure sensing value of the pressure sensing point, including:
determining pressure attribute distribution in each subarea according to the pressure sensing value of the pressure sensing point in each subarea;
and determining a target adjustment area according to the pressure attribute distribution in each sub-area.
In one possible embodiment, determining the pressure attribute distribution in each sub-area from the pressure sensing value of the pressure sensing point in each sub-area comprises:
calculating the difference value of the pressure sensing values of the adjacent pressure sensing points, and determining the pressure change degree distribution of the subareas according to the change condition of the difference value of the pressure sensing values;
calculating the average pressure sensing value of the subareas, and determining the pressure uniformity distribution of the subareas according to the difference value between the pressure sensing value of each pressure sensing point and the average pressure sensing value;
and determining the pressure attribute distribution in the subarea according to the pressure change degree distribution and the pressure uniformity distribution.
In one possible embodiment, the pressure attribute includes a pressure variability distribution and a pressure uniformity distribution, and determining the pressure attribute distribution within the sub-region based on the pressure variability distribution and the pressure uniformity distribution includes:
Acquiring a first weight corresponding to the pressure change degree distribution and a second weight corresponding to the pressure uniformity distribution;
calculating a first evaluation score according to the pressure change degree distribution and the first weight, and calculating a second evaluation score according to the pressure uniformity degree distribution and the second weight;
and calculating the comprehensive evaluation score of the pressure attribute distribution of each sub-area according to the first evaluation score and the second evaluation score, and determining the pressure attribute distribution in the sub-area according to the comprehensive evaluation score and the preset threshold value.
In one possible embodiment, the pressure attribute distribution within the sub-region comprises: a pressure gradient state, a pressure uniform distribution state, and a pressure abrupt change state, determining a target adjustment region according to pressure attribute distribution in each sub-region, including:
in the case where the pressure property distribution within the sub-region is the pressure abrupt state and the pressure gradual state, the sub-region is determined as the target adjustment region.
In one possible embodiment, a plurality of alternative adjustment strategies for the pressure testing machine are generated, including:
taking the minimum adjustment angle as a first optimization target, and taking the highest comprehensive evaluation score of the pressure attribute distribution as a second optimization target;
Based on the first optimization objective and the second optimization objective, a plurality of alternative adjustment strategies for the pressure testing machine are generated.
In one possible embodiment, the first test period includes a plurality of sub-periods having different time intervals, and the constructing the target pressure distribution prediction model according to the pressure change data in the first test period includes:
randomly combining at least two sub-periods to obtain a plurality of combined results, wherein each combined result corresponds to a historical data set, and the historical data set comprises a first data set and a second data set;
training a preset model based on the plurality of first data sets to obtain a plurality of first pressure distribution prediction models;
performing accuracy verification on the plurality of first pressure distribution prediction models based on the plurality of second data sets to obtain a plurality of second pressure distribution prediction models;
and carrying out model fusion on the plurality of second pressure distribution prediction models to obtain a target pressure distribution prediction model.
In one possible embodiment, selecting a target modulation strategy from a plurality of alternative modulation strategies based on a target pressure distribution prediction model, comprising:
respectively inputting a plurality of alternative adjustment strategies into a target pressure distribution prediction model to obtain adjustment results corresponding to each adjustment strategy, wherein the adjustment results comprise the change condition of pressure attribute distribution of a target area;
And determining the corresponding alternative adjustment strategy as a target adjustment strategy under the condition that the adjustment result is the optimal value.
In a second aspect, there is provided an automatic overpressure control system based on a pressure tester, the system comprising:
the acquisition module is used for acquiring the pressure sensing value of the pressure sensing point and determining a target adjustment area according to the pressure sensing value of the pressure sensing point;
the strategy generation module is used for generating various alternative adjustment strategies of the pressure testing machine, and the adjustment strategies are used for adjusting the contact positions of the target adjustment areas and the materials to be tested;
the model construction module is used for acquiring pressure change data of the target adjustment area in the first test period and constructing a target pressure distribution prediction model according to the pressure change data in the first test period;
and the selecting module is used for screening out a target adjustment strategy from a plurality of alternative adjustment strategies according to the target pressure distribution prediction model, and adjusting the target adjustment area based on the target adjustment strategy.
In one possible implementation, the obtaining module includes:
the computing sub-module is used for determining pressure attribute distribution in each subarea according to the pressure sensing value of the pressure sensing point in each subarea;
And the determining submodule is used for determining a target adjustment area according to the pressure attribute distribution in each subarea.
In one possible implementation, determining the sub-module includes:
the first calculation unit is used for calculating the difference value of the pressure sensing values of the adjacent pressure sensing points and determining the pressure change degree distribution of the subareas according to the change condition of the difference value of the pressure sensing values;
the second calculation unit is used for calculating the average pressure sensing value of the subarea and determining the pressure uniformity distribution of the subarea according to the difference value between the pressure sensing value of each pressure sensing point and the average pressure sensing value;
and the state determining unit is used for determining the pressure attribute distribution in the subarea according to the pressure change degree distribution and the pressure uniformity distribution.
In one possible embodiment, the state determining unit includes:
the weight acquisition subunit is used for acquiring a first weight corresponding to the pressure change degree distribution and a second weight corresponding to the pressure uniformity distribution;
the evaluation subunit is used for calculating a first evaluation score according to the pressure change degree distribution and the first weight, and calculating a second evaluation score according to the pressure uniformity degree distribution and the second weight;
The judging subunit is used for calculating the comprehensive evaluation score of the pressure attribute distribution of each sub-area according to the first evaluation score and the second evaluation score, and determining the pressure attribute distribution in the sub-area according to the comprehensive evaluation score and the preset threshold value.
In one possible implementation, determining the sub-module further includes:
and the judging unit is used for determining the subarea as a target adjustment area under the condition that the pressure attribute distribution in the subarea is in a pressure abrupt change state and a pressure gradual change state.
In one possible implementation, the policy generation module includes:
the optimization target determination submodule is used for taking the minimum adjustment angle as a first optimization target and taking the highest comprehensive evaluation score of the pressure attribute distribution as a second optimization target;
and the alternative strategy generation sub-module is used for generating various alternative adjustment strategies of the pressure testing machine based on the first optimization target and the second optimization target.
In one possible implementation, the model building module includes:
a combination sub-module, configured to arbitrarily combine at least two sub-periods to obtain a plurality of combined results, where each combined result corresponds to a historical data set, and the historical data set includes a first data set and a second data set;
The training sub-module is used for training the preset model based on the plurality of first data sets so as to obtain a plurality of first pressure distribution prediction models;
the verification sub-module is used for carrying out accuracy verification on the plurality of first pressure distribution prediction models based on the plurality of second data sets so as to obtain a plurality of second pressure distribution prediction models;
and the fusion sub-module is used for carrying out model fusion on the plurality of second pressure distribution prediction models so as to obtain a target pressure distribution prediction model.
In one possible implementation, the selecting module includes:
the input sub-module is used for respectively inputting a plurality of alternative adjustment strategies into the target pressure distribution prediction model so as to obtain adjustment results corresponding to each adjustment strategy, wherein the adjustment results comprise the change condition of the pressure attribute distribution of the target area;
and the output sub-module is used for determining the corresponding alternative adjustment strategy as a target adjustment strategy under the condition that the adjustment result is the optimal value.
In a third aspect, there is provided an electronic device comprising a memory storing a computer program executable on the processor and a processor implementing a method according to any one of the first aspects above when the program is executed by the processor.
In a fourth aspect, there is provided a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a method as in any of the first aspects described above.
The technical effects of the second to fourth aspects are referred to the technical effects of the first aspect and any of its embodiments and are not repeated here.
Drawings
FIG. 1 is a flow chart of steps of an automatic overpressure control method based on a pressure testing machine provided by an embodiment of the invention;
fig. 2 is a schematic diagram of a functional module of an automatic overpressure control system based on a pressure testing machine according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be described in further detail with reference to fig. 1 to 2 and the embodiments. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
The terms "first," "second," and the like in the embodiments of the present application are used for the purpose of distinguishing between similar features and not necessarily for the purpose of indicating a relative importance, quantity, order, or the like.
The terms "exemplary" or "such as" and the like, as used in connection with embodiments of the present application, are intended to be exemplary, or descriptive. Any embodiment or design described herein as "exemplary" or "for example" should not be construed as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary" or "such as" is intended to present related concepts in a concrete fashion.
The terms "coupled" and "connected" in connection with embodiments of the present application are to be construed broadly, and may refer, for example, to a physical direct connection, or to an indirect connection via electronic devices, such as, for example, a connection via electrical resistance, inductance, capacitance, or other electronic devices.
At present, when the material is subjected to pressure test, particularly for special-shaped materials, the overpressure risk of the pressure testing machine is increased. The profiled material has an irregular shape, a varying surface curvature or a non-uniform thickness. This makes the contact surface between the material and the pressure plate uneven when it is placed on the pressure tester. Due to irregularities in the surface of the material, certain areas may be in full contact with the pressure plate, while other areas may be only in partial contact or not at all. This results in non-uniform contact between the material and the pressure plate. In the case of non-uniform contact, the pressure test will gradually apply pressure. This means that those areas in sufficient contact with the pressure plate will be subjected to considerable pressure, while other areas will be subjected to less or zero pressure. And when the stress in a certain area exceeds the tolerance of the material, the material may locally crack or deform. The local pressure of the pressure plate of the pressure testing machine is too high, so that overvoltage faults occur.
Based on this, the inventive concept of the present application is presented: the pressure sensing point data are acquired in real time, the target adjustment area is determined, various adjustment strategies are generated, a prediction model is constructed by using the pressure change data, the optimal strategy is screened, the contact position of the target area and the material is optimized, and the overpressure risk of the pressure testing machine is reduced.
Referring to fig. 1, an embodiment of the present invention provides an automatic overpressure control method based on a pressure testing machine, which specifically may include the following steps:
s101: and acquiring a pressure sensing value of the pressure sensing point, and determining a target adjustment area according to the pressure sensing value of the pressure sensing point.
In this embodiment, the pressure plate of the pressure testing machine is provided with a plurality of pressure sensing points for measuring pressure sensing values of the contact area with the material to be tested. And collecting the pressure sensing value of each pressure sensing point in the test process. The acquired pressure sensing values typically require data processing steps including denoising, filtering, and calibration to ensure accuracy and reliability of the data. The processed data is more readily available for subsequent analysis. And determining a target adjustment area by analyzing the processed pressure sensing value. The target tuning area refers to an area where the local stress distribution is not uniform, and the specific step of determining the target tuning area may include:
S1011: and determining the pressure attribute distribution in each subarea according to the pressure sensing value of the pressure sensing point in each subarea.
In this embodiment, the pressure plate comprises a plurality of sub-areas, each sub-area comprising a plurality of pressure sensing points for measuring the pressure distribution. And then judging the distribution of the pressure attribute in each subarea according to the data of the pressure sensing points so as to help identify the uneven pressure distribution areas, wherein the specific steps comprise:
s10111: calculating the difference value of the pressure sensing values of the adjacent pressure sensing points, and determining the pressure change degree distribution of the subareas according to the change condition of the difference value of the pressure sensing values;
s10112: calculating the average pressure sensing value of the subareas, and determining the pressure uniformity distribution of the subareas according to the difference value between the pressure sensing value of each pressure sensing point and the average pressure sensing value;
s10113: and determining the pressure attribute distribution in the subarea according to the pressure change degree distribution and the pressure uniformity distribution.
In the embodiments of S10111 to S10113, the pressure attribute includes two evaluation dimensions of a pressure variation distribution and a pressure uniformity distribution. First, for adjacent pressure sensing points within each sub-region, a pressure sensing value difference therebetween is calculated. This can be expressed by the following equation 1:
（1）
Wherein P is i Is the pressure sensing value of the ith pressure sensing point, P i+1 Is the pressure sensing value of the i+1th pressure sensing point. Next, a pressure variation distribution of the sub-region is determined according to the variation of the calculated difference.
If the difference between adjacent points varies little, indicating that the difference remains stable over a range, it may be determined that the pressure properties of the sub-regions are uniformly distributed. This means that the pressure difference in the sub-areas is not large. If the difference value between adjacent points is changed greatly, which means that the difference value has significant fluctuation in a certain range, the pressure attribute distribution of the subareas can be judged to be changed greatly. This may indicate that there is a significant pressure gradient in the sub-region, or that the pressure distribution is uneven.
Calculating the average pressure sensing value of all pressure sensing points in each sub-area can be achieved by the following formula:
；
where n is the number of pressure sensing points in the sub-region, P i Is the pressure sensing value of the i-th pressure sensing point. Then, for each pressure sensing point, calculating a difference between the actual pressure sensing value and the average pressure sensing value of the subarea, and when the pressure sensing value of each pressure sensing point is close to the average pressure sensing value of the subarea and the difference is smaller, obtaining the following conclusion:
The pressure properties are distributed uniformly: this means that the pressure sensing value of each pressure sensing point is very close to the average value within the sub-area. The pressure distribution is consistent: the difference is small, indicating that the pressure difference between the pressure sensing points is insignificant in the sub-region. There may be slight fluctuations). Although uniformly distributed, there may be some slight fluctuations or variations that may be acceptable in some applications.
When there is a significant difference between the pressure sensing value and the average value of each pressure sensing point, the following can be obtained:
the pressure attribute distribution is non-uniform: this means that within a sub-zone there is a large pressure difference between the different pressure sensing points. Pressure distribution is inconsistent: the large difference indicates the presence of non-uniformity in pressure distribution within the sub-area. There is a significant pressure gradient: this may indicate that there is a significant pressure gradient in the sub-area, with some places having higher pressure and others having lower pressure.
By analyzing the magnitude of the difference, a pressure uniformity distribution can be determined, which can help identify areas of non-uniform pressure distribution. This is important to make the necessary adjustments to improve test accuracy and reliability.
And determining a pressure attribute distribution within the sub-region based on the pressure variation distribution and the pressure uniformity distribution, including:
acquiring a first weight corresponding to the pressure change degree distribution and a second weight corresponding to the pressure uniformity distribution;
calculating a first evaluation score according to the pressure change degree distribution and the first weight, and calculating a second evaluation score according to the pressure uniformity degree distribution and the second weight;
and calculating the comprehensive evaluation score of the pressure attribute distribution of each sub-area according to the first evaluation score and the second evaluation score, and determining the pressure attribute distribution in the sub-area according to the comprehensive evaluation score and the preset threshold value.
In the present embodiment, first, two weights are acquired, corresponding to the pressure variation degree distribution and the pressure uniformity distribution, respectively. These weights are used to determine the relative importance of each index in the overall evaluation. A first evaluation score is calculated using the pressure variability distribution and the first weight. This is achieved by multiplying the pressure variability profile by its corresponding weight. A second evaluation score is calculated using the pressure uniformity distribution and the second weight. This is achieved by multiplying the pressure uniformity distribution by its corresponding weight. The first evaluation score and the second evaluation score are added to obtain a composite evaluation score for each sub-region. This is a distribution state that comprehensively considers the degree of pressure variation and uniformity, reflecting the overall pressure distribution quality of the sub-region. And finally, determining the pressure attribute distribution in each subarea according to the comprehensive evaluation score and the preset threshold value. Typically, a threshold may be set, and the pressure state of the sub-area is determined based on whether the composite evaluation score is above or below the threshold. For example, if the composite evaluation score is above a threshold, a uniform pressure attribute distribution may be determined, and vice versa, a non-uniform or gradual pressure attribute distribution.
By way of example, assuming that there are 4 pressure sensing points contained within a sub-region, their pressure sensing values are as follows:
p1=100, p2=102, p3=105, p4=101, and the pressure variation degree distribution and the pressure uniformity distribution are calculated. Calculating the difference between adjacent pressure sensing points:
difference 1= |p1-p2|= |100-102|=2;
difference 2= |p2-p3|= |102-105|=3;
difference 3= |p3-p4|= |105-101|=4.
It can be seen that the difference between adjacent sensing points gradually increases, namely the pressure change degree distribution of the sub-region is larger, and the sub-region is in a pressure gradual change state. The pressure change degree distribution of the subarea is mapped into a corresponding score value, and the specific mapping relation is not limited in the application, and the score can be higher as the pressure change degree is higher, or lower as the change degree is higher.
Calculating an average pressure sensing value:
average = (100+102+105+101)/(4=102).
Then, the difference between each pressure sensing point and the average value is calculated:
difference 1= |p1-average |= |100-102|=2;
difference 2= |p2-average |= |102-102|=0;
difference 3= |p3-average |= |105-102|=3;
difference 4= |p4-average |= |101-102|=1.
It can be seen that the difference between the pressure sensing value and the average value of each sensing point is not 0, and the difference is also large, so that the pressure uniformity distribution of the sub-region is in a state of uneven pressure distribution. The pressure uniformity distribution of the subarea is mapped to a corresponding score value, which is not limited by the specific mapping relation, and the score value can be higher as the pressure uniformity is higher, or lower as the uniformity is higher.
Illustratively, these two states are now mapped onto a scoring scale of 0 to 10:
the pressure change degree distribution score=3 (relatively uneven) maps to a score of 3.
Pressure uniformity distribution score = 3 (relatively non-uniform) maps to a score of 3.
Next, a first evaluation score and a second evaluation score are calculated according to the weights. Assuming that the first weight is 0.4, the second weight is 0.6:
first evaluation score = pressure change degree distribution score x first weight = 3 x 0.4 = 1.2;
second evaluation score = pressure uniformity distribution score x second weight = 3 x 0.6 = 1.8;
finally, a comprehensive evaluation score is calculated, and the first evaluation score and the second evaluation score are added:
Integrated evaluation score = first evaluation score + second evaluation score = 1.2 + 1.8 = 3.
The composite evaluation score can now be compared to a preset threshold value to determine the pressure attribute distribution of the sub-region. Different thresholds and weights may be set to meet specific requirements and evaluation criteria, depending on the particular application and criteria. This example illustrates how the different states are mapped to scores and the composite evaluation score is calculated by weight combination.
S1012: and determining a target adjustment area according to the pressure attribute distribution in each sub-area.
After the pressure attribute distribution in each sub-area is obtained, the target adjustment area can be screened out according to the pressure attribute distribution in each sub-area. The method comprises the following specific steps:
in the case where the pressure property distribution within the sub-region is the pressure abrupt state and the pressure gradual state, the sub-region is determined as the target adjustment region.
In this embodiment, the pressure attribute distribution may be divided into a plurality of states such as a pressure gradual change state, a pressure uniform distribution state, and a pressure abrupt change state according to a relative magnitude relation with a preset threshold. Of course, other conditions may be included, depending on the needs of the application.
S102: various alternative adjustment strategies for the pressure tester are generated.
In this embodiment, the adjusting strategy is used to adjust the contact position between the target adjusting area and the material to be tested, and the specific steps for generating the multiple alternative adjusting strategies of the pressure testing machine include:
s1021: taking the minimum adjustment angle as a first optimization target, and taking the highest comprehensive evaluation score of the pressure attribute distribution as a second optimization target;
s1022: based on the first optimization objective and the second optimization objective, a plurality of alternative adjustment strategies for the pressure testing machine are generated.
In the embodiments of S1021 to S1022, the first optimization objective minimizes the adjustment angle. The first aspect illustrates that in creating an alternative tuning strategy, reducing uneven contact or improper angles between the material and the pressure plate is of primary concern to reduce stress concentrations or other problems. The second optimization objective maximizes the pressure attribute distribution composite evaluation score. The second aspect illustrates that in generating the alternative tuning strategy, it is also ensured that the pressure distribution in the sub-area is as uniform as possible to improve the accuracy and reliability of the test. Based on the first and second optimization objectives, a variety of alternative adjustment strategies may be generated using different methods and algorithms. These strategies may cover aspects of material adjustment, pressure plate adjustment, trial condition adjustment, etc., to meet the first and second optimization objectives.
The process of generating the alternative adjustment strategy may include numerical simulation, optimization algorithms, experimental design, etc. to determine how to adjust the operation and settings of the pressure testing machine to meet the optimization objectives. These policies may be further evaluated and compared to select the tuning scheme best suited for a particular application.
S103: and acquiring pressure change data of the target adjustment area in a first test period, and constructing a target pressure distribution prediction model according to the pressure change data in the first test period.
In this embodiment, the pressure change data of the target adjustment area in the first test period is acquired to collect the pressure distribution in the actual test. The data includes pressure change information for each pressure sensing point within the target adjustment zone. Then, using these data, a target pressure distribution prediction model can be constructed, which can be used to predict the pressure distribution in future experiments. The specific steps thereof can include:
s1031: randomly combining at least two sub-periods to obtain a plurality of combined results, wherein each combined result corresponds to a historical data set, and the historical data set comprises a first data set and a second data set;
S1032: training a preset model based on the plurality of first data sets to obtain a plurality of first pressure distribution prediction models;
s1033: performing accuracy verification on the plurality of first pressure distribution prediction models based on the plurality of second data sets to obtain a plurality of second pressure distribution prediction models;
s1034: and carrying out model fusion on the plurality of second pressure distribution prediction models to obtain a target pressure distribution prediction model.
In the embodiments of S1031 to S1034, the first trial period includes a plurality of sub-periods having different time interval sizes, and data of each trial period including the first data set and the second data set is recorded. These datasets represent different experimental scenarios or conditions. By combining different test periods, multiple combined results, one for each historical dataset, can be obtained. This helps to take into account different test scenarios to more fully build the predictive model. The plurality of first pressure distribution predictive models are trained using a plurality of first data sets, i.e., data under different test scenarios. These models may employ various machine learning or statistical methods to learn pressure distribution patterns under different test conditions. The plurality of first pressure distribution predictive models that have been trained are verified using a plurality of second data sets, i.e., another set of data under different test scenarios. This helps to verify the accuracy and applicability of the model to ensure performance stability of the model under different conditions. And finally, carrying out model fusion on the plurality of second pressure distribution prediction models. Model fusion may employ various methods, such as weighted averaging or ensemble learning, to combine the results of multiple models together to generate a comprehensive target pressure distribution prediction model. The comprehensive model is more robust and accurate, and can be used for predicting pressure distribution in future experiments.
S104: and screening a target adjustment strategy from a plurality of alternative adjustment strategies according to the target pressure distribution prediction model.
In this embodiment, multiple alternative tuning strategies may be evaluated and screened based on the target pressure distribution prediction model. The goal is to select those tuning strategies that perform best in the case of predicted pressure profiles to ensure test accuracy and reliability. This screening process helps determine the target tuning strategy that best suits the particular test conditions based on the predictive capabilities of the model to optimize the performance of the pressure testing machine. The method comprises the following specific steps:
respectively inputting a plurality of alternative adjustment strategies into a target pressure distribution prediction model to obtain adjustment results corresponding to each adjustment strategy, wherein the adjustment results comprise the change condition of pressure attribute distribution of a target area;
in this embodiment, an alternative tuning strategy is arbitrarily selected, which will be passed as input to the target pressure distribution prediction model. The prediction under this strategy is simulated using a target pressure distribution prediction model. The model predicts the pressure attribute distribution in the target area according to the adjustment parameters of the strategy. And recording simulation results, including the change condition of the pressure attribute distribution in the target area. These variations may include the degree of variation in the properties of pressure uniformity, pressure gradients, pressure discontinuities, etc. Repeating the steps, and using different alternative adjustment strategies to obtain adjustment results of each strategy. Once a plurality of adjustment results are obtained, a comparison and evaluation may be performed. And further determining which adjustment strategy causes the pressure attribute distribution change in the target area to be most in line with the test requirements and the performance optimization targets.
According to the method provided by the disclosure, the actual contact condition between the material to be detected and the pressure plate can be known by acquiring the pressure sensing value of the pressure sensing point. This helps to determine which areas there are non-uniform contacts, resulting in localized overstresses. Based on the actual pressure sensing data, a variety of alternative adjustment strategies may be generated that aim to adjust the contact location of the target area with the material under test to reduce non-uniform contact and localized overstress problems. By conducting experiments and recording pressure change data for the target area, pressure distribution problems caused by non-uniform contact can be quantified. And constructing a target pressure distribution prediction model. This model simulates the pressure distribution under different tuning strategies, helping to understand the root cause and potential solutions of the problem. By analysis of the model, target tuning strategies that result in a more uniform pressure distribution within the target area can be screened out. And further optimize the contact position, alleviate the too big problem of local stress.
Therefore, the method has significant advantages in industrial scenes, improves the toughness, usability and performance of the system, and can better cope with various challenges and fault conditions especially in severe environments.
The embodiment of the invention also provides an automatic overpressure control system based on the pressure testing machine, and referring to fig. 2, a functional module diagram of the automatic overpressure control system based on the pressure testing machine is shown, and the system can comprise the following modules:
the acquiring module 201 is configured to acquire a pressure sensing value of a pressure sensing point, and determine a target adjustment area according to the pressure sensing value of the pressure sensing point;
the strategy generation module 202 is configured to generate multiple alternative adjustment strategies of the pressure testing machine, where the adjustment strategies are used to adjust the contact position between the target adjustment area and the material to be tested;
the model construction module 203 is configured to acquire pressure change data of the target adjustment area in a first test period, and construct a target pressure distribution prediction model according to the pressure change data in the first test period;
the selection module 204 is configured to screen a target adjustment policy from a plurality of alternative adjustment policies according to the target pressure distribution prediction model, and adjust the target adjustment area based on the target adjustment policy.
In one possible implementation, the obtaining module includes:
the computing sub-module is used for determining pressure attribute distribution in each subarea according to the pressure sensing value of the pressure sensing point in each subarea;
And the determining submodule is used for determining a target adjustment area according to the pressure attribute distribution in each subarea.
In one possible implementation, determining the sub-module includes:
the first calculation unit is used for calculating the difference value of the pressure sensing values of the adjacent pressure sensing points and determining the pressure change degree distribution of the subareas according to the change condition of the difference value of the pressure sensing values;
the second calculation unit is used for calculating the average pressure sensing value of the subarea and determining the pressure uniformity distribution of the subarea according to the difference value between the pressure sensing value of each pressure sensing point and the average pressure sensing value;
and the state determining unit is used for determining the pressure attribute distribution in the subarea according to the pressure change degree distribution and the pressure uniformity distribution.
In one possible embodiment, the state determining unit includes:
the weight acquisition subunit is used for acquiring a first weight corresponding to the pressure change degree distribution and a second weight corresponding to the pressure uniformity distribution;
the evaluation subunit is used for calculating a first evaluation score according to the pressure change degree distribution and the first weight, and calculating a second evaluation score according to the pressure uniformity degree distribution and the second weight;
The judging subunit is used for calculating the comprehensive evaluation score of the pressure attribute distribution of each sub-area according to the first evaluation score and the second evaluation score, and determining the pressure attribute distribution in the sub-area according to the comprehensive evaluation score and the preset threshold value.
In one possible implementation, determining the sub-module further includes:
and the judging unit is used for determining the subarea as a target adjustment area under the condition that the pressure attribute distribution in the subarea is in a pressure abrupt change state and a pressure gradual change state.
In one possible implementation, the policy generation module includes:
the optimization target determination submodule is used for taking the minimum adjustment angle as a first optimization target and taking the highest comprehensive evaluation score of the pressure attribute distribution as a second optimization target;
and the alternative strategy generation sub-module is used for generating various alternative adjustment strategies of the pressure testing machine based on the first optimization target and the second optimization target.
In one possible implementation, the model building module includes:
a combination sub-module, configured to arbitrarily combine at least two sub-periods to obtain a plurality of combined results, where each combined result corresponds to a historical data set, and the historical data set includes a first data set and a second data set;
The training sub-module is used for training the preset model based on the plurality of first data sets so as to obtain a plurality of first pressure distribution prediction models;
the verification sub-module is used for carrying out accuracy verification on the plurality of first pressure distribution prediction models based on the plurality of second data sets so as to obtain a plurality of second pressure distribution prediction models;
and the fusion sub-module is used for carrying out model fusion on the plurality of second pressure distribution prediction models so as to obtain a target pressure distribution prediction model.
In one possible implementation, the selecting module includes:
the input sub-module is used for respectively inputting a plurality of alternative adjustment strategies into the target pressure distribution prediction model so as to obtain adjustment results corresponding to each adjustment strategy, wherein the adjustment results comprise the change condition of the pressure attribute distribution of the target area;
and the output sub-module is used for determining the corresponding alternative adjustment strategy as a target adjustment strategy under the condition that the adjustment result is the optimal value.
Based on the same inventive concept, another embodiment of the present invention provides an electronic device comprising a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface, the memory complete communication with each other through the communication bus,
A memory for storing a computer program;
and the processor is used for realizing the automatic overpressure control method based on the pressure testing machine when executing the program stored in the memory.
The communication bus mentioned by the above terminal may be a peripheral component interconnect standard (Peripheral Component Interconnect, abbreviated as PCI) bus or an extended industry standard architecture (Extended Industry Standard Architecture, abbreviated as EISA) bus, etc. The communication bus may be classified as an address bus, a data bus, a control bus, or the like. For ease of illustration, the figures are shown with only one bold line, but not with only one bus or one type of bus. The communication interface is used for communication between the terminal and other devices. The memory may include random access memory (Random Access Memory, RAM) or non-volatile memory (non-volatile memory), such as at least one disk memory. Optionally, the memory may also be at least one storage system located remotely from the aforementioned processor.
The processor may be a general-purpose processor, including a central processing unit (Central Processing Unit, CPU for short), a network processor (Network Processor, NP for short), etc.; but also digital signal processors (Digital Signal Processing, DSP for short), application specific integrated circuits (Application Specific Integrated Circuit, ASIC for short), field-programmable gate arrays (Field-Programmable Gate Array, FPGA for short) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.
In addition, in order to achieve the above objective, the embodiment of the present invention further provides a computer readable storage medium storing a computer program, where the computer program when executed by a processor implements the automatic overpressure control method based on the pressure testing machine according to the embodiment of the present invention.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, embodiments of the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the invention may take the form of a computer program product on one or more computer-usable vehicles having computer-usable program code embodied therein, including but not limited to disk storage, CD-ROM, optical storage, and the like.
Embodiments of the present invention are described with reference to flowchart illustrations and/or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing terminal device to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal device, create a system for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it is further noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. "" and/or "" "means either or both of these can be selected. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or terminal. Without further limitation, an element defined by the statement "" comprising one … … "", does not exclude the presence of other identical elements in a process, method, article or terminal device comprising the element.
The present invention is not limited to the above embodiments, and various equivalent modifications and substitutions can be easily made by those skilled in the art within the technical scope of the present invention, and these modifications and substitutions are intended to be included in the scope of the present invention. Therefore, the protection scope of the invention is subject to the protection scope of the claims.
Claims (10)
1. An automatic overpressure control method based on a pressure testing machine, characterized in that the pressure testing machine comprises a pressure plate provided with a plurality of pressure sensing points, the method comprising:
acquiring a pressure sensing value of the pressure sensing point, and determining a target adjustment area according to the pressure sensing value of the pressure sensing point;
generating a plurality of alternative adjustment strategies of the pressure testing machine, wherein the adjustment strategies are used for adjusting the contact positions of the target adjustment areas and the materials to be tested;
acquiring pressure change data of the target adjustment area in a first test period, and constructing a target pressure distribution prediction model according to the pressure change data in the first test period;
and screening a target adjustment strategy from the multiple alternative adjustment strategies according to the target pressure distribution prediction model, and adjusting the target adjustment area based on the target adjustment strategy.
2. The automatic overpressure control method based on a pressure tester according to claim 1, wherein the pressure plate includes a plurality of sub-areas, the acquiring the pressure sensing value of the pressure sensing point and determining the target adjustment area according to the pressure sensing value of the pressure sensing point includes:
determining pressure attribute distribution in each subarea according to the pressure sensing value of the pressure sensing point in each subarea;
and determining the target adjustment area according to the pressure attribute distribution in each sub-area.
3. The automatic overpressure control method based on a pressure tester according to claim 2, wherein the pressure attribute includes a pressure variation degree distribution and a pressure uniformity degree distribution, and the determining the pressure attribute distribution in each of the sub-areas according to the pressure sensing value of the pressure sensing point in each of the sub-areas includes:
calculating the difference value of the pressure sensing values of the adjacent pressure sensing points, and determining the pressure change degree distribution of the subareas according to the change condition of the difference value of the pressure sensing values;
calculating the average pressure sensing value of the subareas, and determining the pressure uniformity distribution of the subareas according to the difference value between the pressure sensing value of each pressure sensing point and the average pressure sensing value;
And determining the pressure attribute distribution in the subarea according to the pressure change degree distribution and the pressure uniformity distribution.
4. The automatic overpressure control method based on a pressure tester of claim 3, wherein said determining a pressure attribute distribution within said sub-area based on said pressure variation profile and said pressure uniformity profile comprises:
acquiring a first weight corresponding to the pressure change degree distribution and a second weight corresponding to the pressure uniformity degree distribution;
calculating a first evaluation score according to the pressure change degree distribution and the first weight, and calculating a second evaluation score according to the pressure uniformity degree distribution and the second weight;
and calculating the comprehensive evaluation score of the pressure attribute distribution of each subarea according to the first evaluation score and the second evaluation score, and determining the pressure attribute distribution in the subarea according to the comprehensive evaluation score and the magnitude of a preset threshold.
5. The automatic overpressure control method based on a pressure tester of claim 4, wherein the distribution of pressure properties within the sub-area comprises: the determining the target adjustment area according to the pressure attribute distribution in each sub-area includes:
And determining the subarea as the target adjustment area under the condition that the pressure attribute distribution in the subarea is the pressure abrupt change state and the pressure gradual change state.
6. The automatic overpressure control method based on a pressure tester of claim 1, wherein the generating of the plurality of alternative adjustment strategies for the pressure tester comprises:
taking the minimum adjustment angle as a first optimization target, and taking the highest comprehensive evaluation score of the pressure attribute distribution as a second optimization target;
based on the first optimization objective and the second optimization objective, a plurality of alternative adjustment strategies for the pressure testing machine are generated.
7. The automatic overpressure control method based on a pressure tester according to claim 1, wherein the first test period includes a plurality of sub-periods having different time intervals, and the constructing a target pressure distribution prediction model according to pressure change data in the first test period includes:
randomly combining at least two sub-periods to obtain a plurality of combined results, wherein each combined result corresponds to one historical data set, and the historical data set comprises a first data set and a second data set;
Training a preset model based on a plurality of first data sets to obtain a plurality of first pressure distribution prediction models;
performing accuracy verification on the plurality of first pressure distribution prediction models based on the plurality of second data sets to obtain a plurality of second pressure distribution prediction models;
and carrying out model fusion on the plurality of second pressure distribution prediction models to obtain the target pressure distribution prediction model.
8. The automatic overpressure control method based on a pressure tester according to claim 1, wherein the screening the target adjustment strategy from the plurality of alternative adjustment strategies according to the target pressure distribution prediction model comprises:
respectively inputting the multiple alternative adjustment strategies into the target pressure distribution prediction model to obtain adjustment results corresponding to each adjustment strategy, wherein the adjustment results comprise the change condition of the pressure attribute distribution of the target area;
and under the condition that the adjustment result is an optimal value, determining the corresponding alternative adjustment strategy as the target adjustment strategy.
9. An automatic overpressure control system based on a pressure tester, the system comprising:
The acquisition module is used for acquiring the pressure sensing value of the pressure sensing point and determining a target adjustment area according to the pressure sensing value of the pressure sensing point;
the strategy generation module is used for generating a plurality of alternative adjustment strategies of the pressure testing machine, and the adjustment strategies are used for adjusting the contact positions of the target adjustment areas and the materials to be tested;
the model construction module is used for acquiring pressure change data of the target adjustment area in a first test period and constructing a target pressure distribution prediction model according to the pressure change data in the first test period;
and the adjusting module is used for screening out a target adjusting strategy from the plurality of alternative adjusting strategies according to the target pressure distribution prediction model, and adjusting the target adjusting area based on the target adjusting strategy.
10. The automatic overpressure control system of a pressure-based testing machine of claim 9, wherein the acquisition module comprises:
the computing sub-module is used for determining pressure attribute distribution in each subarea according to the pressure sensing value of the pressure sensing point in each subarea;
and the determining submodule is used for determining the target adjustment area according to the pressure attribute distribution in each sub-area.
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