A real-time data collection and automatic report generation system for a thermal shock chamber

Abstract

The present invention relates to the technical field of test data processing, and specifically discloses a real-time data collection and report automatic generation system for a thermal shock chamber, including: a test execution and data acquisition module that real-time acquires an omnidirectional monitoring image of a test sample and the in-chamber environment data of the thermal shock chamber; a visual feature extraction module that extracts the visual features of each test impact resistance item at each analysis moment; a performance value analysis module that obtains the performance values of each test impact resistance item at each analysis moment based on the visual features of each test impact resistance item at each analysis moment; a test result optimization module that mutually references and optimizes the performance values of all test impact resistance items at all analysis moments during the current test process to obtain the real-time performance test results of each test impact resistance item; a report automatic generation module that generates a test process monitoring report; to achieve automatic data collection and report automatic generation during the thermal shock test process.

Description

Technical Field

[0001] The present invention relates to the technical field of test data processing, and particularly relates to a real-time data collection and automatic report generation system for a thermal shock chamber. Background Art

[0002] A thermal shock chamber is a test device used to test the heat resistance and cold resistance of materials, also known as a thermal shock test chamber, a temperature shock test chamber, or a high and low temperature shock test chamber. A thermal shock chamber is an essential test device in industries such as metals, plastics, rubbers, and electronics, used to test material structures or composite materials. After undergoing a certain number of rapid temperature changes between extremely high and extremely low temperatures in a short period, it can detect chemical changes or physical damages caused by thermal expansion and contraction of the test samples in a short time. Existing thermal shock chambers can use built-in sensors to obtain relevant data during the test process and integrate them into a report for uploading to a display screen or a remote monitoring terminal.

[0003] However, the existing real-time data acquisition technology for thermal shock chambers can only collect directly collectable data such as the temperature, humidity, pressure inside the chamber, and the appearance state of the test samples, and the automatically generated report is also based on these directly collectable data. There is no specific collection and collation of in-depth test monitoring data on the performance state or change state of the impact resistance of the test samples during the test process.

[0004] Therefore, the present invention proposes a real-time data collection and automatic report generation system for a thermal shock chamber. Summary of the Invention

[0005] The present invention provides a real-time data collection and automatic report generation system for a thermal shock chamber, which realizes real-time monitoring and analysis of the impact resistance performance state of test samples during the test process through continuous analysis of the omnidirectional monitoring diagrams of the test samples, and automatically integrates the real-time performance test results of all types of test impact resistance items and the internal chamber environment data into a report, that is, realizes the collection and collation of in-depth test monitoring data on the performance state or change state of the impact resistance of the test samples during the test process.

[0006] The present invention provides a real-time data collection and automatic report generation system for a thermal shock chamber, comprising:

[0007] A test execution and data acquisition module, configured to control the thermal shock chamber in real time based on the planned control thread of the current test process, and at the same time, acquire the omnidirectional monitoring diagrams of the test samples and the internal chamber environment data of the thermal shock chamber in real time;

[0008] A visual feature extraction module, which is used to extract the visual features of each test impact resistance item at each analysis moment during the current test process from all the omnidirectional monitoring images obtained during the current test process;

[0009] A performance value analysis module, which is used to obtain the performance values of each test impact resistance item at each analysis moment during the current test process based on the visual features of each test impact resistance item at each analysis moment during the current test process and the test impact resistance analysis model;

[0010] A test result optimization module, which is used to perform mutual reference optimization on the performance values of all test impact resistance items at all analysis moments during the current test process to obtain the real-time performance test results of each test impact resistance item;

[0011] A report automatic generation module, which is used to generate a test process monitoring report in real time based on the real-time performance test results of all test impact resistance items and all the in-chamber environment data of the thermal shock chamber obtained during the current test process.

[0012] Preferably, the test execution and data acquisition module includes:

[0013] A control thread generation sub-module, which is used to generate a planned control thread for the thermal shock chamber based on the thermal shock test plan;

[0014] A test execution and data acquisition sub-module, which is used to control the in-chamber test impact temperature of the thermal shock chamber and the planned impact time of each planned impact temperature based on the planned control thread when it is monitored that the test sample in the thermal shock chamber meets the standard requirements. At the same time, it acquires the omnidirectional monitoring images of the test sample and the in-chamber environment data of the thermal shock chamber in real time.

[0015] Preferably, the visual feature extraction module includes:

[0016] An impact resistance item determination sub-module, which is used to determine each test impact resistance item of the current thermal shock test;

[0017] A static visual feature extraction sub-module, which is used to extract the static visual features of each test impact resistance item at the corresponding analysis moment during the current test process from each omnidirectional monitoring image obtained during the current test process;

[0018] An omnidirectional monitoring image splicing sub-module, which is used to splice all the omnidirectional monitoring images from the first omnidirectional monitoring image obtained during the current test process to the omnidirectional monitoring image obtained at a single analysis moment during the current test process in chronological order to obtain an omnidirectional monitoring video corresponding to the analysis moment;

[0019] The dynamic visual feature extraction sub-module is used to extract the dynamic visual features of each test anti-shock performance item at the corresponding analysis moment during the current test process from the all-round monitoring video at each analysis moment during the current test process;

[0020] Among them, the visual features of each test anti-shock performance item at each analysis moment during the current test process include the static visual features and dynamic visual features of each test anti-shock performance item at each analysis moment during the current test process.

[0021] Preferably, the performance value analysis module includes:

[0022] The model acquisition sub-module is used to acquire the test anti-shock performance analysis model of each test anti-shock performance item;

[0023] The performance value determination sub-module is used to input the visual features of each test anti-shock performance item at each analysis moment during the current test process into the corresponding test anti-shock performance analysis model to obtain the performance values of each test anti-shock performance item at each analysis moment during the current test process.

[0024] Preferably, the test result optimization module includes:

[0025] The imaging factor analysis sub-module is used to analyze all performance influencing factors and corresponding influencing methods of each test anti-shock performance item in a large number of historical thermal shock tests of the test sample;

[0026] The performance prediction sub-module is used to determine the predicted performance values of each test anti-shock performance item at each analysis moment during the current test process based on all performance influencing factors of each test anti-shock performance item and the original test conditions of the current test process;

[0027] The mutual reference optimization sub-module is used to perform mutual reference optimization on the predicted performance values and performance values of all test anti-shock performance items at each analysis moment during the current test process to obtain the real-time performance test results of each test anti-shock performance item.

[0028] Preferably, the mutual reference optimization sub-module includes:

[0029] The synchronization relationship analysis unit is used to analyze the synchronization relationship between all test anti-shock performance items in a large number of historical thermal shock tests of the test sample;

[0030] The mutual reference optimization unit is used to perform mutual reference optimization on the predicted performance values and performance values of all test anti-shock performance items at each analysis moment during the current test process based on the synchronization relationship between all test anti-shock performance items to obtain the real-time performance test results of each test anti-shock performance item.

[0031] Preferably, the mutual reference optimization unit includes:

[0032] A synchronous quantization relationship extraction subunit, configured to extract the synchronous quantization relationship of each test anti-shock performance item at each analysis moment during the current test process from the synchronous relationships among all test anti-shock performance items;

[0033] A compliance analysis subunit, configured to analyze the compliance between the speculated performance value of each test anti-shock performance item at each analysis moment during the current test process and the synchronous quantization relationship corresponding to the performance value;

[0034] A mutual reference optimization subunit, configured to obtain the real-time performance test results of each test anti-shock performance item based on the compliance between the speculated performance value of all test anti-shock performance items at each analysis moment during the current test process and the synchronous quantization relationship corresponding to the performance value, and a preset mutual reference optimization model.

[0035] Preferably, the report automatic generation module includes:

[0036] A control performance analysis sub-module, configured to evaluate the control performance value of the thermal shock chamber based on all the in-chamber environment data of the thermal shock chamber obtained during the current test process;

[0037] A report data sorting sub-module, configured to sort all the in-chamber environment data of the thermal shock chamber, the control performance value of the thermal shock chamber, and the real-time performance test results of all test anti-shock performance items obtained during the current test process according to a template to obtain report sorting information;

[0038] A report generation sub-module, configured to fill the report sorting information into the test process monitoring report template to obtain the test process monitoring report.

[0039] Preferably, the control performance analysis sub-module includes:

[0040] A stability evaluation unit, configured to evaluate the control stability of the thermal shock chamber based on all the in-chamber environment data of the thermal shock chamber obtained during the current test process;

[0041] An accuracy evaluation unit, configured to evaluate the control accuracy of the thermal shock chamber based on all the in-chamber environment data of the thermal shock chamber obtained during the current test process;

[0042] A control performance analysis unit, configured to analyze the control performance value of the thermal shock chamber based on the control stability and control accuracy of the thermal shock chamber.

[0043] Preferably, the control performance analysis unit includes:

[0044] A weight acquisition subunit, configured to acquire a performance decision weight for control stability and a performance decision weight for control accuracy;

[0045] A control performance determination subunit, configured to use the sum of the product of the control stability of the thermal shock chamber and the corresponding performance decision weight and the product of the control accuracy and the corresponding performance decision weight as the control performance value of the thermal shock chamber.

[0046] The beneficial effects of the present invention compared with the prior art are as follows: through continuous analysis of the all-round monitoring diagram of the test sample, real-time monitoring and analysis of the anti-shock performance state of the test sample during the test process are realized, and the real-time performance test results of all test anti-shock performance items and the in-chamber environment data are automatically integrated into a report, that is, the acquisition and collation of in-depth test monitoring data on the performance state or change state of the anti-shock performance of the test sample during the test process are realized.

[0047] Other features and advantages of the present invention will be described in the following specification, and, in part, will be obvious from the specification, or will be understood by implementing the present invention. The objectives and other advantages of the present invention can be achieved and obtained through the structures specifically pointed out in this application document.

[0048] The technical solutions of the present invention will be further described in detail below through the accompanying drawings and embodiments. Description of the Drawings

[0049] The accompanying drawings are used to provide a further understanding of the present invention, and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation to the present invention. In the accompanying drawings:

[0050] Figure 1 It is a schematic diagram of the internal functional modules of the real-time data collection and report automatic generation system for the thermal shock chamber in the embodiment of the present invention;

[0051] Figure 2 It is a schematic diagram of the internal functional sub-modules of the test execution and data acquisition module in the embodiment of the present invention;

[0052] Figure 3 It is a schematic diagram of the internal functional sub-modules of the visual feature extraction module in the embodiment of the present invention;

[0053] Figure 4 It is a schematic diagram of the internal functional sub-modules of the performance value analysis module in the embodiment of the present invention;

[0054] Figure 5 It is a schematic diagram of the internal functional sub-modules of the test result optimization module in the embodiment of the present invention;

[0055] Figure 6Schematic diagram of internal functional sub - modules of the report automatic generation module in the embodiments of the present invention. Detailed implementation manners

[0056] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are only for the purpose of illustrating and explaining the present invention, and are not used to limit the present invention.

[0057] Embodiment 1:

[0058] The present invention provides a real - time data collection and report automatic generation system for a thermal shock chamber. Refer to Figure 1 , including:

[0059] A test execution and data acquisition module, which is used to control the thermal shock chamber in real - time based on the planned control thread of the current test process. At the same time, it can obtain the all - round monitoring images of the test samples and the in - chamber environment data of the thermal shock chamber in real - time;

[0060] A visual feature extraction module, which is used to extract the visual features of each test anti - shock performance item at each analysis moment in the current test process from all the all - round monitoring images obtained during the current test process;

[0061] A performance value analysis module, which is used to obtain the performance values of each test anti - shock performance item at each analysis moment in the current test process based on the visual features of each test anti - shock performance item at each analysis moment in the current test process and the test anti - shock performance analysis model;

[0062] A test result optimization module, which is used to perform mutual reference optimization on the performance values of all test anti - shock performance items at all analysis moments in the current test process to obtain the real - time performance test results of each test anti - shock performance item;

[0063] A report automatic generation module, which is used to generate a test process monitoring report in real - time based on the real - time performance test results of all test anti - shock performance items and all the in - chamber environment data of the thermal shock chamber obtained during the current test process.

[0064] In this embodiment, the current test process is the thermal shock test process currently being carried out by the thermal shock chamber.

[0065] In this embodiment, the planned control thread is the planned impact temperature (for example, the high - temperature impact is 70 degrees Celsius and the low - temperature impact is - 55 degrees Celsius) provided to the test samples at different planned time periods within the thermal shock chamber (for example, first perform a 1 - hour high - temperature impact on the test samples, and then perform a 1 - hour low - temperature impact on the test samples).

[0066] In this embodiment, the test sample is the sample material being subjected to the thermal shock test during the current test process.

[0067] In this embodiment, the all-round monitoring diagram is a color high-definition monitoring image that includes the appearance forms seen from all directions of the test sample.

[0068] In this embodiment, the in-chamber environmental data includes but is not limited to the real-time temperature, real-time humidity, and real-time air pressure in the thermal shock chamber, etc.

[0069] In this embodiment, the test impact resistance performance item is the thermal performance item of the test sample material that is desired to be detected during the current test process, such as the coefficient of thermal expansion or linear expansion coefficient, thermoplasticity, thermoelastic modulus, etc.

[0070] In this embodiment, the analysis time is the preset time for collecting and analyzing the thermal performance value, appearance form, and in-chamber environmental data.

[0071] In this embodiment, the visible feature is an appearance form feature that can be extracted from the all-round monitoring diagram and can be observed or seen with the naked eye, and can analyze the thermal performance performance of the test sample (the thermal performance value corresponding to the test impact resistance performance item).

[0072] In this embodiment, the test impact resistance performance analysis model is a model that can analyze the thermal performance value of the test sample for the corresponding test impact resistance performance item under the corresponding test conditions according to the input visible features.

[0073] In this embodiment, the performance value represents the value indicating the excellent degree of the performance of the corresponding test impact resistance performance item of the test sample. For example: the ratio of the material length of the test sample changing with temperature (i.e., the coefficient of linear expansion).

[0074] In this embodiment, the real-time performance test result is the performance value of the experimental sample for the various test impact resistance performance items at the current moment under the current test conditions.

[0075] In this embodiment, the test process monitoring report is a report that includes the in-chamber environmental temperature of the thermal shock chamber, data related to the operating state of the thermal shock test chamber, data related to the state of the test sample, and the real-time performance test results of the test sample for all kinds of test impact resistance performance items, etc.

[0076] The beneficial effects of the above technology are as follows: By continuously analyzing the all-round monitoring diagram of the test sample, the real-time monitoring and analysis of the impact resistance performance state of the test sample during the test process are realized, and the real-time performance test results of all kinds of test impact resistance performance items and the in-chamber environmental data are automatically integrated into a report, that is, the acquisition and collation of the deep-level test monitoring data on the performance state or change state of the impact resistance performance of the test sample during the test process are realized.

[0077] Embodiment 2:

[0078] Based on Embodiment 1, the test execution and data acquisition module refers to Figure 2 , including:

[0079] The control thread generation sub-module is used to generate a planned control thread for the thermal shock chamber based on the thermal shock test plan;

[0080] The test execution and data acquisition sub-module is used to, when it is monitored that the test sample in the thermal shock chamber meets the standard requirements, control the in-chamber test shock temperature of the thermal shock chamber and the planned shock time for each planned shock temperature based on the planned control thread. At the same time, the all-round monitoring diagram of the test sample and the in-chamber environmental data of the thermal shock chamber are obtained in real time.

[0081] In this embodiment, the thermal shock test plan is a test plan that includes at least one planned shock temperature that the thermal shock chamber needs to provide to the test sample, the duration of each planned shock temperature, and the execution order.

[0082] In this embodiment, the test sample meeting the standard requirements means that the initial physical form of the test sample (such as restricting the material length, thickness, shape, etc. of the test sample) and the chemical form (such as the substance existing in the form of FeO for the test sample and whether inorganic fillers need to be added to the test sample, etc.) meet the test requirements for all corresponding test impact performance items.

[0083] In this embodiment, the in-chamber test shock temperature is the temperature provided by the thermal shock chamber to the test sample.

[0084] In this embodiment, the planned shock temperature is the temperature that the thermal shock test plan includes and that the thermal shock chamber needs to provide to the test sample.

[0085] In this embodiment, the planned shock time is the duration that the thermal shock test plan includes and that the thermal shock chamber needs to provide a single planned shock temperature to the test sample (for example, 5 minutes after the start of the test, a 70-degree Celsius high-temperature shock lasting 1 hour is provided to the test sample).

[0086] In this embodiment, generating a planned control thread for the thermal shock chamber based on the thermal shock test plan includes:

[0087] Extracting all the planned shock temperatures that the thermal shock chamber needs to provide to the test sample, the planned shock time for each planned shock temperature, and the sequence order from the thermal shock test plan;

[0088] Sorting all the planned shock temperatures using the sequence order, and then determining the coverage time length of all the sorted planned shock temperatures on the planned control thread based on the planned shock time for each planned shock temperature, so as to generate a planned control thread for the thermal shock chamber.

[0089] The beneficial effects of the above technology are as follows: controlling the thermal shock chamber to conduct thermal shock tests on test samples according to the thermal shock test plan, and realizing the full-range monitoring map of the test samples and the acquisition of the in-chamber environment data of the thermal shock chamber throughout the test process.

[0090] Embodiment 3:

[0091] Based on Embodiment 1, the visual feature extraction module refers to Figure 3 , including:

[0092] The anti-shock performance item determination sub-module is used to determine each test anti-shock performance item of the current thermal shock test;

[0093] The static visual feature extraction sub-module is used to extract the static visual features of each test anti-shock performance item at the corresponding analysis moment during the current test process from each full-range monitoring map obtained during the current test process;

[0094] The full-range monitoring map splicing sub-module is used to splice all the full-range monitoring maps from the first full-range monitoring map obtained during the current test process to the full-range monitoring map obtained at a single analysis moment during the current test process in chronological order to obtain the full-range monitoring video corresponding to the analysis moment;

[0095] The dynamic visual feature extraction sub-module is used to extract the dynamic visual features of each test anti-shock performance item at the corresponding analysis moment during the current test process from the full-range monitoring video at each analysis moment during the current test process;

[0096] Among them, the visual features of each test anti-shock performance item at each analysis moment during the current test process include the static visual features and dynamic visual features of each test anti-shock performance item at each analysis moment during the current test process.

[0097] In this embodiment, each test anti-shock performance item of the current thermal shock test is a thermal performance item of the test sample that is pre-planned to be detected through the current thermal shock test.

[0098] In this embodiment, the static visual feature is a static image feature representing the appearance feature of the test sample included in a single full-access monitoring image, such as the material size of the test sample.

[0099] In this embodiment, the static visual features of each test anti-shock performance item at the corresponding analysis moment during the current test process are extracted from each full-range monitoring map obtained during the current test process by using a preset static visual feature extraction model;

[0100] The preset static visual feature extraction model is trained using a large number of all-round monitoring images marked with the static visual features of each test anti-impact performance item.

[0101] In this embodiment, in the all-round monitoring video at each analysis moment during the current test, the dynamic visual features of each test anti-impact performance item at the corresponding analysis moment during the current test are extracted using the preset dynamic visual feature extraction model.

[0102] The preset dynamic visual feature extraction model is trained using a large number of all-round monitoring videos marked with the dynamic visual features of each test anti-impact performance item.

[0103] In this embodiment, the dynamic visual feature is a dynamic image feature representing the appearance feature of the test sample contained in a single full-access monitoring image, such as the shape change amount of the test sample.

[0104] The beneficial effects of the above technology are as follows: The extraction of static visual features and dynamic visual features contained in all the all-round monitoring images obtained during the current test is realized.

[0105] Embodiment 4:

[0106] Based on Embodiment 1, the performance value analysis module refers to Figure 4 , including:

[0107] The model acquisition sub-module is used to acquire the test anti-impact performance analysis model for each test anti-impact performance item.

[0108] The performance value determination sub-module is used to input the visual features of each test anti-impact performance item at each analysis moment during the current test into the corresponding test anti-impact performance analysis model to obtain the performance value of each test anti-impact performance item at each analysis moment during the current test.

[0109] In this embodiment, acquiring the test anti-impact performance analysis model for each test anti-impact performance item includes:

[0110] Using the visual features of a single test anti-impact performance item containing the test sample at different analysis moments during a large number of tests and the manually analyzed performance values of the corresponding test anti-impact performance item of the corresponding test sample at the corresponding analysis moment as training samples for neural network model training to obtain the test anti-impact performance analysis model.

[0111] During the training process, the visual features of a single test anti-impact performance item of the test sample at different analysis times during a large number of tests are used as the model input, and the performance values of the corresponding test anti-impact performance item of the corresponding test sample at the corresponding analysis time analyzed manually are used as the model output.

[0112] The beneficial effects of the above technology are as follows: Based on the machine learning algorithm, the test anti-impact performance analysis model for each test anti-impact performance item is built, and based on the built test anti-impact performance analysis model for each test anti-impact performance item, the automatic analysis of the visual features of each test anti-impact performance item at each analysis time during the current test process is realized, so as to accurately obtain the performance values of each test anti-impact performance item at each analysis time during the current test process.

[0113] Example 5:

[0114] On the basis of Example 1, the test result optimization module refers to Figure 5 , including:

[0115] The image factor analysis sub-module is used to analyze all performance influencing factors and corresponding influencing methods of each test anti-impact performance item in a large number of historical thermal shock tests of the test sample;

[0116] The performance prediction sub-module is used to determine the predicted performance values of each test anti-impact performance item at each analysis time during the current test process based on all performance influencing factors of each test anti-impact performance item and the original test conditions of the current test process;

[0117] The mutual reference optimization sub-module is used to perform mutual reference optimization on the predicted performance values and performance values of all test anti-impact performance items at each analysis time during the current test process to obtain the real-time performance test results of each test anti-impact performance item.

[0118] In this example, the historical thermal shock test of the test sample is a thermal shock test that was carried out in other ways before and was used to test the performance of all current test anti-impact performance items of the test sample.

[0119] In this example, analyzing all performance influencing factors and corresponding influencing methods of each test anti-impact performance item in a large number of historical thermal shock tests of the test sample includes:

[0120] Inputting the test-related data (such as planned shock temperature and planned shock time, in-chamber humidity data and in-chamber air pressure data during the test, etc.) of a large number of historical thermal shock tests of the test sample into a preset analysis model to obtain all performance influencing factors and corresponding influencing methods of each test anti-impact performance item;

[0121] Among them, the preset parsing model is a model obtained by training a neural network model with a large amount of historical test-related data of other test samples' thermal shock tests and all performance influencing factors and corresponding influencing methods of all test impact resistance performance items of the other test samples as training samples. During the training process, a large amount of historical test-related data of other test samples' thermal shock tests is used as the model input quantity, and all performance influencing factors and corresponding influencing methods of all test impact resistance performance items of the other test samples are used as the model output quantity.

[0122] In this embodiment, all performance influencing factors of the test impact resistance performance item are factors that affect the performance of the test impact resistance performance item of the test sample. For example, the performance influencing factor of the coefficient of thermal expansion is the physical state (gaseous, liquid, solid) of the material.

[0123] In this embodiment, the corresponding influencing method of the performance influencing factor is the numerical relationship between the value of the performance influencing factor and the performance value of the corresponding test impact resistance performance item.

[0124] In this embodiment, the original test conditions of the current test process are the relevant parameters of the current test process that at least include the values of all performance influencing factors of the test impact resistance performance item at each analysis moment in the current test process, such as the physical state of the test sample, etc.

[0125] In this embodiment, the speculated performance value is the performance value that should be shown by each test impact resistance performance item of the test sample at each analysis moment in the current test process determined by using all performance influencing factors of each test impact resistance performance item and the values of the corresponding all performance influencing factors in the original test conditions of the current test process, without considering detection errors or test errors.

[0126] In this embodiment, based on all performance influencing factors of each test impact resistance performance item and the original test conditions of the current test process, the speculated performance value of each test impact resistance performance item at each analysis moment in the current test process is determined, including:

[0127] Extract the values of all performance influencing factors of all test impact resistance performance items at each moment in the current test process from the original test conditions of the current test process;

[0128] Substitute each performance influencing factor of each test impact resistance performance item into the numerical relationship corresponding to the influencing method to obtain multiple speculated values of each test impact resistance performance item;

[0129] Take the mean value of all speculated values of each test impact resistance performance item as the speculated performance value of each test impact resistance performance item at each analysis moment in the current test process.

[0130] The beneficial effects of the above technology are as follows: By using all the performance influencing factors and corresponding influencing methods of each test anti-impact performance item, the analysis and speculation of the performance of each test anti-impact performance item at each analysis moment during the current test process are realized, and through the mutual reference and optimization of the speculated performance values and performance values of all test anti-impact performance items at each analysis moment during the current test process, the accuracy of the obtained real-time performance test results is ensured.

[0131] Embodiment 6:

[0132] Based on Embodiment 5, the mutual reference and optimization sub-module includes:

[0133] A synchronization relationship analysis unit, configured to analyze the synchronization relationship between all test anti-impact performance items in a large number of historical thermal shock tests of test samples;

[0134] A mutual reference and optimization unit, configured to mutually reference and optimize the speculated performance values and performance values of all test anti-impact performance items at each analysis moment during the current test process based on the synchronization relationship between all test anti-impact performance items, so as to obtain the real-time performance test results of each test anti-impact performance item.

[0135] In this embodiment, analyzing the synchronization relationship between all test anti-impact performance items in a large number of historical thermal shock tests of test samples includes:

[0136] Inputting the test-related data of a large number of historical thermal shock tests of test samples (such as planned shock temperature and planned shock time, in-box humidity data and in-box air pressure data during the test process, etc.) into a preset synchronization relationship analysis model to obtain the synchronization relationship between all test anti-impact performance items;

[0137] Among them, the preset synchronization relationship analysis model is a model obtained by training a neural network model in advance using the test-related data of a large number of historical thermal shock tests of other test samples and the synchronization relationship between all test anti-impact performance items of these other test samples. During the training process, the test-related data of a large number of historical thermal shock tests of other test samples is used as the model input quantity, and the synchronization relationship between all test anti-impact performance items of these other test samples is used as the model output quantity.

[0138] In this embodiment, the synchronization relationship between all test anti-impact performance items includes the synchronization quantization relationship of each test anti-impact performance item at different test stages when the test sample is under different test conditions (that is, a numerical relationship that can represent the change of the performance value of any test anti-impact performance item A with the change of another test anti-impact performance item B that has a definite numerical relationship with the any test anti-impact performance item A).

[0139] The beneficial effects of the above technology are as follows: By utilizing the synchronization relationship among all types of test impact resistance performance items, the speculated performance values and performance values of all types of test impact resistance performance items at each analysis moment during the current test process are mutually referenced and optimized, further ensuring the accuracy of the obtained real-time performance test results.

[0140] Example 7:

[0141] Based on Example 6, the mutual reference and optimization unit includes:

[0142] A synchronization quantization relationship extraction subunit, configured to extract the synchronization quantization relationship of each type of test impact resistance performance item at each analysis moment during the current test process from the synchronization relationship among all types of test impact resistance performance items;

[0143] A compliance analysis subunit, configured to analyze the compliance of the speculated performance value and performance value of each type of test impact resistance performance item at each analysis moment during the current test process with the corresponding synchronization quantization relationship;

[0144] A mutual reference and optimization subunit, configured to obtain the real-time performance test results of each type of test impact resistance performance item based on the compliance of the speculated performance value and performance value of all types of test impact resistance performance items at each analysis moment during the current test process with the corresponding synchronization quantization relationship and a preset mutual reference and optimization model.

[0145] In this embodiment, the synchronization quantization relationship of each type of test impact resistance performance item at each analysis moment during the current test process is a numerical relationship that can represent the performance value of any test impact resistance performance item A changing with the change of another test impact resistance performance item B having a definite numerical relationship with the any test impact resistance performance item A at the stage where the performance value of the any test impact resistance performance item A is located at the corresponding analysis moment.

[0146] In this embodiment, analyzing the compliance of the speculated performance value and performance value of each type of test impact resistance performance item at each analysis moment during the current test process with the corresponding synchronization quantization relationship includes:

[0147] Substituting the speculated performance value of each type of test impact resistance performance item at each analysis moment during the current test process into the corresponding synchronization quantization relationship to obtain a performance value calculation result;

[0148] Substituting the performance value of each type of test impact resistance performance item at each analysis moment during the current test process into the corresponding synchronization quantization relationship to obtain a speculated performance value calculation result;

[0149] Taking the ratio of the smaller value to the larger value between the performance value and the performance value calculation result as the first compliance;

[0150] Take the ratio of the smaller value to the larger value between the speculated performance value and the calculated speculated performance value as the second compliance degree;

[0151] Take the mean value between the first compliance degree and the second compliance degree as the compliance degree of the speculated performance value and the performance value corresponding to the synchronous quantization relationship of the corresponding test impact resistance performance item at the corresponding analysis moment during the current test process.

[0152] In this embodiment, based on the compliance degrees of the speculated performance values and the performance values corresponding to the synchronous quantization relationships of all test impact resistance performance items at each analysis moment during the current test process and a preset mutual reference optimization model, obtain the real-time performance test results of each test impact resistance performance item, including:

[0153] Input the compliance degrees of the speculated performance values and the performance values corresponding to the synchronous quantization relationships of all test impact resistance performance items at each analysis moment during the current test process into the preset mutual reference optimization model, and obtain the final performance test values of each test impact resistance performance item as the real-time performance test results of each test impact resistance performance item.

[0154] In this embodiment, the preset mutual reference optimization model is a model obtained by performing machine learning on the speculated performance values and the performance values of all test impact resistance performance items that are pre-prepared and manually determined not to require optimization at different analysis moments during other test processes (other test processes with the same test conditions as the current test process) as training samples. The preset mutual reference optimization model can output the final performance test values of each test impact resistance performance item according to the compliance degrees of the speculated performance values and the performance values corresponding to the synchronous quantization relationships of all test impact resistance performance items input at each analysis moment during the current test process.

[0155] The beneficial effects of the above technology are: Utilize the compliance degrees of the speculated performance values and the performance values corresponding to the synchronous quantization relationships of all test impact resistance performance items at each analysis moment during the current test process, and the machine learning algorithm to accurately obtain the real-time performance test results of each test impact resistance performance item.

[0156] Example 8:

[0157] On the basis of Example 1, the report automatic generation module refers to Figure 6 , including:

[0158] The control performance analysis sub-module is used to evaluate the control performance value of the thermal shock chamber based on all the in-chamber environment data of the thermal shock chamber obtained during the current test process;

[0159] A report data sorting sub-module, which is used to sort all the in-chamber environment data of the thermal shock chamber, the control performance values of the thermal shock chamber, and the real-time performance test results of all kinds of test shock resistance performance items obtained during the current test according to a template, so as to obtain report sorting information;

[0160] A report generation sub-module, which is used to fill the report sorting information into the test process monitoring report template to obtain the test process monitoring report.

[0161] In this embodiment, the control performance value of the thermal shock chamber is a numerical value representing the two performance manifestations of the control stability and control accuracy of the thermal shock chamber.

[0162] In this embodiment, the template used in the sorting according to the template is prepared in advance, and each item of data corresponds to a template.

[0163] In this embodiment, the test process monitoring report template is an empty form or empty document of the test process monitoring report prepared in advance without actual content.

[0164] The beneficial effects of the above technology are as follows: realizing the automatic generation of the test process monitoring report and clarifying the specific information items included in the test process monitoring report.

[0165] Embodiment 9:

[0166] On the basis of Embodiment 8, a control performance analysis sub-module includes:

[0167] A stability evaluation unit, which is used to evaluate the control stability of the thermal shock chamber based on all the in-chamber environment data of the thermal shock chamber obtained during the current test;

[0168] An accuracy evaluation unit, which is used to evaluate the control accuracy of the thermal shock chamber based on all the in-chamber environment data of the thermal shock chamber obtained during the current test;

[0169] A control performance analysis unit, which is used to analyze the control performance value of the thermal shock chamber based on the control stability and control accuracy of the thermal shock chamber.

[0170] In this embodiment, evaluating the control stability of the thermal shock chamber based on all the in-chamber environment data of the thermal shock chamber obtained during the current test includes:

[0171] Inputting all the in-chamber environment data of the thermal shock chamber and the thermal shock test plan obtained during the current test into a preset control stability evaluation model to obtain the control stability of the thermal shock chamber;

[0172] Among them, the preset control stability evaluation model is a model obtained by training a neural network model with all the in-chamber environment data of the thermal shock chamber obtained during this test process, which is pre-utilized with a large number of thermal shock test plans of other test processes and different test stages as the model input, and the corresponding artificially evaluated control stability as the model output.

[0173] In this embodiment, based on all the in-chamber environment data of the thermal shock chamber obtained during the current test process, the control accuracy of the thermal shock chamber is evaluated, including:

[0174] Input all the in-chamber environment data of the thermal shock chamber obtained during the current test process and the thermal shock test plan into the preset control accuracy evaluation model to obtain the control accuracy of the thermal shock chamber;

[0175] Among them, the preset control accuracy evaluation model is a model obtained by training a neural network model with all the in-chamber environment data of the thermal shock chamber obtained during this test process, which is pre-utilized with a large number of thermal shock test plans of other test processes and different test stages as the model input, and the corresponding artificially evaluated control accuracy as the model output.

[0176] The beneficial effects of the above technology are as follows: Using the pre-trained model to achieve accurate analysis of the control accuracy and control stability of the thermal shock chamber, so as to accurately determine the control performance value of the thermal shock chamber.

[0177] Embodiment 10:

[0178] Based on Embodiment 9, the control performance analysis unit includes:

[0179] A weight acquisition subunit for acquiring the performance decision weight of control stability and the performance decision weight of control accuracy;

[0180] A control performance determination subunit for taking the sum of the product of the control stability of the thermal shock chamber and the corresponding performance decision weight and the product of the control accuracy and the corresponding performance decision weight as the control performance value of the thermal shock chamber.

[0181] In this embodiment, the performance decision weight of control stability and the performance decision weight of control accuracy are artificially preset in advance, and the sum of the performance decision weight of control stability and the performance decision weight of control accuracy is 1;

[0182] The performance decision weight of control stability represents the numerical proportion of control stability in the control performance value of the thermal shock chamber;

[0183] The performance decision weight of control accuracy represents the numerical proportion of control accuracy in the control performance value of the thermal shock chamber.

[0184] The beneficial effects of the above technology are as follows: It clarifies the specific implementation method for determining the control performance value of the thermal shock chamber based on the control stability and control accuracy of the thermal shock chamber.

[0185] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and its equivalent technologies, the present invention is also intended to include these changes and modifications.

Claims

1. A real-time data collection and automatic report generation system for a hot and cold shock chamber, characterized in that: include: The test execution and data acquisition module is used to control the hot and cold shock chamber in real time based on the planned control thread of the current test process, and at the same time, obtain the full range of monitoring diagrams of the test samples and the environmental data inside the hot and cold shock chamber in real time; A visual feature extraction module is used to extract the static visual features of each test impact resistance performance item of the current hot and cold shock test at the corresponding analysis moment in the current test process from each omnidirectional monitoring diagram obtained in the current test process; All omnidirectional monitoring images from the first omnidirectional monitoring image obtained in the current test process to the omnidirectional monitoring image obtained at a single analysis moment in the current test process are spliced ​​in time sequence to obtain the omnidirectional monitoring video at the corresponding analysis moment. From the omnidirectional monitoring video at each analysis moment in the current test process, the dynamic visual features of each test impact resistance performance item at the corresponding analysis moment in the current test process are extracted; A performance value analysis module is used to obtain the performance value of each test impact resistance performance item at each analysis moment in the current test process based on the static visual features and dynamic visual features of each test impact resistance performance item at each analysis moment in the current test process and the test impact resistance performance analysis model; The test result optimization module is used to analyze all performance influencing factors and corresponding influencing modes of each test impact resistance performance item in a large number of historical hot and cold shock tests of test samples; Based on all the performance influencing factors of each test impact resistance performance item and the original test conditions of the current test process, determine the estimated performance value of each test impact resistance performance item at each analysis moment in the current test process; Analyze the synchronous relationship between all kinds of test impact resistance performance items in a large number of historical cold and hot shock tests of test samples; Extract the synchronous quantitative relationship of each test impact resistance item at each analysis moment in the current test process from the synchronous relationship between all test impact resistance items; Analyze the conformity of the inferred performance value and the corresponding synchronous quantitative relationship of the performance value for each test impact resistance performance item at each analysis moment in the current test process; Based on the inferred performance values ​​of all kinds of test impact resistance performance items at each analysis moment in the current test process and the conformity of the corresponding synchronous quantitative relationship of the performance value pairs and the preset mutual reference optimization model, the real-time performance test results of each test impact resistance performance item are obtained; The report automatic generation module is used to generate a test process monitoring report in real time based on the real-time performance test results of all types of test impact resistance performance items and all the in-box environmental data of the hot and cold shock chamber obtained during the current test process.

2. The real-time data collection and automatic report generation system for the hot and cold shock chamber according to claim 1 is characterized in that: Test execution and data acquisition module, including: A control thread generation submodule, used for generating a plan control thread of a hot and cold shock box based on a hot and cold shock test plan; The test execution and data acquisition submodule is used to control the test shock temperature in the cold and hot shock box and the planned shock time of each planned shock temperature based on the planned control thread when it is monitored that the test samples in the cold and hot shock box meet the standard requirements. At the same time, it obtains the full-range monitoring diagram of the test samples and the environmental data in the cold and hot shock box in real time.

3. The real-time data collection and automatic report generation system for the hot and cold shock chamber according to claim 1 is characterized in that: Performance value analysis module, including: A model acquisition submodule is used to obtain the test impact resistance performance analysis model of each test impact resistance performance item; The performance value determination submodule is used to input the static visual features and dynamic visual features of each test impact resistance performance item at each analysis moment in the current test process into the corresponding test impact resistance performance analysis model to obtain the performance value of each test impact resistance performance item at each analysis moment in the current test process.

4. The real-time data collection and automatic report generation system for the hot and cold shock chamber according to claim 1 is characterized in that: Based on all the performance influencing factors of each test impact resistance performance item and the original test conditions of the current test process, determine the estimated performance value of each test impact resistance performance item at each analysis moment in the current test process, including: Extract the values ​​of all performance influencing factors of all test impact resistance items at each moment in the current test process under the original test conditions of the current test process; Substituting each performance influencing factor of each test impact resistance performance item into the numerical relationship corresponding to the corresponding impact mode, and obtaining multiple estimated values ​​of each test impact resistance performance item; The mean of all inferred values ​​of each test impact resistance performance item is taken as the inferred performance value of each test impact resistance performance item at each analysis moment in the current test process.

5. The real-time data collection and automatic report generation system for the hot and cold shock chamber according to claim 1 is characterized in that: Analyze the conformity of the inferred performance value and the corresponding synchronous quantitative relationship of the performance value for each test impact resistance performance item at each analysis moment in the current test process, including: Substitute the estimated performance value of each test impact resistance item at each analysis moment in the current test process into the corresponding synchronous quantization relationship to obtain the performance calculation value; Substitute the performance value of each test impact resistance item at each analysis moment in the current test process into the corresponding synchronous quantitative relationship to obtain the inferred performance calculation value; The ratio of the minimum value to the maximum value of the performance value and the performance calculation value is regarded as the first compliance; The ratio of the minimum value to the maximum value of the estimated performance value and the estimated performance calculation value is regarded as a second degree of conformity; The average value between the first conformity and the second conformity is regarded as the conformity of the corresponding synchronous quantitative relationship between the inferred performance value and the performance value of the corresponding test impact resistance performance item at the corresponding analysis moment in the current test process.

6. The real-time data collection and automatic report generation system for the hot and cold shock chamber according to claim 1 is characterized in that: Automatic report generation module, including: The control performance analysis submodule is used to evaluate the control performance value of the hot and cold shock chamber based on all the in-chamber environmental data of the hot and cold shock chamber obtained during the current test process; The report data sorting submodule is used to sort all the in-box environmental data of the hot and cold shock chamber, the control performance values ​​of the hot and cold shock chamber, and the real-time performance test results of all kinds of test anti-impact performance items obtained in the current test process according to the template to obtain report sorting information; The report generation submodule is used to fill the report arrangement information into the test process monitoring report template to obtain the test process monitoring report.

7. The real-time data collection and automatic report generation system for the thermal shock chamber according to claim 6 is characterized in that: Control performance analysis submodule, including: A stability evaluation unit, used to evaluate the control stability of the hot and cold shock chamber based on all the in-chamber environmental data of the hot and cold shock chamber acquired during the current test process; The accuracy evaluation unit is used to evaluate the control accuracy of the hot and cold shock chamber based on all the in-chamber environmental data of the hot and cold shock chamber obtained during the current test process; The control performance analysis unit is used to analyze the control performance value of the cold and hot shock box based on the control stability and control accuracy of the cold and hot shock box.

8. The real-time data collection and automatic report generation system for the hot and cold shock chamber according to claim 7 is characterized in that: Control performance analysis unit, including: A weight acquisition subunit, used to acquire a performance decision weight of control stability and a performance decision weight of control accuracy; The control performance determination subunit is used to take the sum of the product of the control stability of the cold and hot shock box and the corresponding performance decision weight and the product of the control accuracy and the corresponding performance decision weight as the control performance value of the cold and hot shock box.

Images