Digital-real fusion test method based on element fusion

Abstract

The invention discloses a number-real fusion test method based on element fusion. The method comprises the following steps: executing a digital test and a real installation test; the process fusion module receives data from digital test and real installation test, processes the data through a process fusion mechanism in the process fusion module, and transmits output data to the result fusion module; after receiving the data output by the process fusion module, the result fusion module iteratively processes the data and transmits the data to the next iteration of the result fusion module; and the comprehensive test result module receives real installation test and digital test data, and the result of the result fusion module is calculated and processed to generate a comprehensive test result. According to the technical scheme, the method for calculating the comprehensive result of the digital-real fusion test is designed for the conditions that a digital test model is low in credibility, a real-installation test model is high in cost and few in available information, and then the high-credibility and wide-coverage test result of equipment or a system is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of computer simulation, and in particular to a digital-real fusion testing method based on element fusion. Background Art

[0002] Traditional equipment or system testing often faces problems such as incomplete test information, irreproducible testing of some information, and high testing costs for some information. The digital test model formed with the development of information technology faces problems such as low credibility and unreasonable digital test methods. At present, there is still a lack of effective methods, processes, and ideas to integrate actual installation testing with digital testing. Therefore, the following problems exist:

[0003] The cost of installation testing is high. Installation testing usually requires a lot of manpower and material resources. The debugging, maintenance and testing process of the equipment involve high costs and huge time costs, making the testing inefficient and inadequate.

[0004] It is difficult to obtain actual installation test information: In a complex test environment, it is difficult to obtain comprehensive and accurate actual installation test data due to equipment limitations and external conditions.

[0005] Digital testing methods are not reasonable enough: Existing digital testing methods often lack pertinence and rationality, and cannot fully simulate the complexity of the real environment, resulting in unreliable test results.

[0006] Low credibility of digital testing: There may be uncertainty in the construction and testing process of digital models, and there is a lack of effective verification and feedback mechanisms, which affects their credibility.

[0007] There is a lack of effective ideas and methods for the integration of installation testing and digital testing: There is currently a lack of systematic methods and processes to effectively combine installation testing with digital testing to achieve an innovative testing model that complements information and integrates data.

[0008] In summary, there are still major deficiencies in actual installation testing and digital testing, and the gap between the two is still significant, lacking effective integration methods, processes and ideas. This not only limits the progress of testing technology, but also restricts the improvement and optimization of equipment or system performance to a certain extent. Summary of the invention

[0009] The technical problems to be solved by the present invention are: in view of the problems of lack of actual installation test environment and small amount of data existing in current equipment or system testing, a process model integrating multiple elements of actual installation test, digital test, process fusion and result fusion is designed; in view of the problem that actual installation test data, digital test data and process fusion test data are inconvenient to be effectively integrated, a data credibility compensation mechanism of generating numbers with reality and testing reality with numbers is established to solve the problems of small amount of actual installation test data and low credibility of digital test; in view of the situation that the credibility of digital test models is low, the cost of actual installation test models is high and there is little available information, a digital-real fusion testing method based on element fusion is designed.

[0010] The present invention solves the technical problem by adopting the following technical solution: a digital-real fusion test method based on element fusion, comprising:

[0011] Step 1: Perform digital testing on the digital models of the equipment and system. After the digital testing is completed, the process step data and key parameter data are sent to the next iteration and process fusion module of the digital testing in parallel.

[0012] Step 2: Perform installation test on the actual physical equipment of the equipment and system. After the installation test is completed, the process step data and key parameter data are sent to the next iteration and process fusion module of the installation test in parallel;

[0013] Step 3: After the process fusion module receives the process step data and key parameter data from the digital test and the actual installation test, it processes them through the process fusion mechanism in the module and transmits the output data to the result fusion module;

[0014] Step 4: After the result fusion module receives the data output from the process fusion module, it is iteratively processed by the result fusion module and transmitted to the next iteration of the result fusion module;

[0015] Step 5: The comprehensive test result module receives the process step data and key parameter data from the actual installation test after multiple iterations, the process step data and key parameter data from the digital test after multiple iterations, and the results of the result fusion module after multiple iterations, and generates a comprehensive test result after calculation and processing.

[0016] The beneficial effects of the present invention compared with the prior art are:

[0017] (1) When test elements are missing or the amount of data is small, the lack of some necessary data that cannot be directly obtained will lead to inaccurate overall test and result calculation. On the one hand, traditional methods cannot directly obtain data through sensors. On the other hand, even if it can be obtained through sensors, the installation of sensors will also affect the structure and performance of the test object itself. Therefore, traditional methods cannot achieve reliable testing in cases where test object elements are missing or the amount of data is small. The method of the present invention solves the above problems by comprehensively utilizing actual installation testing, digital testing, process fusion, and result fusion to design a multi-factor fusion digital-real fusion test model.

[0018] (2) In order to solve the problem that actual installation test data, digital test data and process fusion test data are difficult to effectively integrate, traditional methods usually analyze and evaluate them separately, making it difficult to achieve more reliable and effective integration. The method of the present invention solves the problem of small amount of actual installation test data and low credibility of digital test by establishing a data credibility compensation mechanism that generates numbers from reality and tests reality with numbers.

[0019] (3) In view of the low credibility of digital test models, high cost of actual test models and little available information, traditional methods usually use complex and time-consuming theoretical derivations, which make it difficult to efficiently generate reliable results. The present invention designs a method for calculating the comprehensive results of digital-physical fusion testing, which iteratively integrates multiple factors to efficiently achieve highly reliable and wide-coverage test results for equipment or systems. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 This is an overall process diagram of the digital-real fusion testing method based on element fusion described in the present invention.

[0021] Figure 2 This is the data flow diagram for the actual installation test.

[0022] Figure 3 Data flow diagram for digital testing.

[0023] Figure 4 This is the data flow diagram of the process fusion module.

[0024] Figure 5 This is the data flow diagram of the result fusion module. DETAILED DESCRIPTION

[0025] The present invention is described in further detail below in conjunction with the accompanying drawings.

[0026] The present invention designs a digital-physical fusion test model based on factor fusion, including a process model integrating multiple factors of actual installation test, digital test, process fusion and result fusion, in order to solve the problems of missing actual installation test environment and small amount of data in current equipment or system testing; in order to solve the problem that actual installation test data, digital test data and process fusion test data are inconvenient to be effectively integrated, a data credibility compensation mechanism of generating numbers from reality and testing reality with numbers is established; in order to solve the problems that the credibility of digital test models is low, the cost of actual installation test models is high and the available information is small, a method for calculating the comprehensive results of digital-physical fusion testing is designed.

[0027] Figure 1 This is the overall process diagram of the digital-real fusion test method based on element fusion described in the present invention, showing the process model of integrating multiple elements of actual installation test, digital test, process fusion, and result fusion. Figure 1 As shown in the figure, the process model includes four elements: digital test (SD), installation test (SP), process fusion (SF), and result fusion (SR). Finally, a comprehensive test result (PDEO) is formed for the equipment or system object.

[0028] The digital-real fusion testing method based on element fusion includes the following steps:

[0029] Step 1: Digitally test the digital models of the equipment and systems. After the digital test is completed, the process step data and key parameter data are sent to the next iteration of the digital test and the process fusion module in parallel. The process step data includes information data such as test objectives, conditions, instrument configuration, and instrument status. The key parameter data includes performance data such as power, response time, load capacity, vibration, noise, life, and mean time between failures of the equipment and systems.

[0030] Step 2: Perform installation test on the actual physical equipment of the equipment and system. After the installation test is completed, the process step data and key parameter data are sent to the next iteration and process fusion module of the installation test in parallel;

[0031] Step 3: After the process fusion module receives the process step data and key parameter data from the digital test and the actual installation test, it processes them through the process fusion mechanism in the module and transmits the output data to the result fusion module;

[0032] Step 4: After the result fusion module receives the data output from the process fusion module, it is iteratively processed by the result fusion module and transmitted to the next iteration of the result fusion module;

[0033] Step 5: The comprehensive test result module receives the process step data and key parameter data from the actual installation test after multiple iterations, the process step data and key parameter data from the digital test after multiple iterations, and the results of the result fusion module after multiple iterations, and generates a comprehensive test result after calculation and processing.

[0034] The specific implementation of steps 1 to 5 is described in detail below. This specific implementation enables the establishment of a data credibility compensation mechanism that uses reality to generate numbers and numbers to test reality, in order to address the problem that actual installation test data, digital test data and process fusion test data are inconvenient to effectively integrate.

[0035] Step 1 includes: designing a multi-port parallel transmission mechanism for the test data of each step or beat in the digital test process, and outputting them to the next digital test step or beat and process fusion module respectively, such as Figure 3 shown.

[0036] Step 2 includes: designing a multi-port parallel transmission mechanism for the test data of each step or beat in the actual installation test process, and outputting them to the next actual installation test step or beat and process fusion module respectively, such as Figure 2 As shown;

[0037] The process fusion model is built based on the specific implementation features. Its architecture is as follows Figure 4 The third step of its execution includes: the process fusion module receives Figure 2 and Figure 3 The process step data and key parameter data of the actual installation test and the process step data and key parameter data of the digital test are substituted into the data for difference comparison, feature extraction, feature dimension reduction, feature correlation analysis and other data processing operations. The process also includes: relying on the process fusion module to generate supplementary data for the missing parts of the actual installation data, recorded as There are two sources of compensation data. One is to rely on other actual test data input and process fusion module calculation and generation, which is recorded as The other is to rely on other digital test data input and process fusion module calculation and generation, denoted as . Other actual installation test data and other digital test data refer to the actual installation test data and digital test data collected during other rounds of iteration. The supplementary data generated from the two sources are analyzed for differences using the KS algorithm. If the P value of the KS algorithm is less than 0.05, they are weighted and fused separately. If it is not less than 0.05, it means that there is no significant difference between the supplementary data from the two sources, and both are equally weighted and fused, that is:

[0038] ;

[0039] Design a weighted fusion mechanism. If the P value after the KS algorithm difference test analysis is less than 0.05, then:

[0040] ;

[0041] in, It is a statistic used to measure whether the sample data conforms to the consistent hypothesis. A larger value means that there is no significant difference between the two samples. A smaller value means that there is a difference between the two samples.

[0042] During the test process, multi-threading technology is used to achieve parallel processing of each test module to significantly improve the overall efficiency of the test. The scheduling control system is responsible for the reasonable allocation of computing resources, ensuring the coordination and synchronization between threads, and avoiding data conflicts and competition conditions. For the task arrangement of each thread, the priority strategy is designed to adjust. In the case of conflict, the priority is: the actual installation test process is higher than the process fusion process, and the process fusion process is higher than the digital test process.

[0043] Step 4 includes: the result fusion module fuses the result of the process fusion module with the result of the previous step result fusion module. The fusion process is as follows: Figure 5 shown.

[0044] In the result fusion module, the result of the previous step result fusion module is and the object to be fused Carry out the separate empowerment operation, and wait for the fusion object The weight is greater than the result of the previous step fusion , in order to achieve better updating and emphasizing effects, the design result fusion formula is:

[0045] ;

[0046] Step five includes: in view of the low credibility of the digital test model, a comprehensive result calculation method based on digital-real fusion test is designed. During the digital-real fusion test, the comprehensive test results will be updated as the number of iterations increases. During the update process, the new comprehensive test results will be integrated into the results of the previous iteration. The specific implementation is as follows:

[0047] a. The expression of comprehensive test results is:

[0048] ;

[0049] in, is the result of the result fusion module of the nth iteration, is the actual test result of the nth iteration, is the numerical test result of the nth iteration, where f represents the PDEO obtained by , , It is determined by three independent variables and is a proxy for the fusion function.

[0050] The iterative process calculation formula for the comprehensive test results is:

[0051] ;

[0052] ;

[0053] in, , , The weights of the result fusion module, the actual test results, and the digital test results reflect their importance in different iterations. Indicates the iteration number.

[0054] The weight of the data set changes with the number of iterations, and the weight formula is as follows:

[0055] ;

[0056] ;

[0057] ;

[0058] Among them, k is the adjustment coefficient. By adjusting the value of k, the changing trend of each weight can be controlled, thereby adjusting the adaptability of each weight when facing different iteration orders of magnitude. This weight design ensures that in the process of multiple iterations, the contribution of the weight ratio of different data sets to the final result can be reasonably reflected. In the early stage of iteration, the weight of the result fusion result is small, and the growth rate with the number of iterations is slow. The weight of the actual installation test and digital test results is large, and the growth rate with the number of iterations is fast; in the later stage of iteration, the weight of the result fusion result is large, and the growth rate with the number of iterations is fast. The weight of the actual installation test and digital test results is small, and the growth rate with the number of iterations is slow.

[0059] In the weight expression formula shown, the value of the k parameter can be adjusted according to the specific iteration schedule. For example, when the number of iterations is scheduled to be about 200 times, k is set to 100, and the weight values ​​are as follows:

[0060] ;

[0061] ;

[0062] ;

[0063] In summary, a digital-real fusion test method based on element fusion is provided, including: designing a multi-layer multi-threaded test process method integrating installation test, digital test, process fusion, and result fusion. The specific implementation is as follows:

[0064] In the process of testing equipment or systems, first establish the digital model of the equipment or system object and the process fusion model of the process fusion module in advance, so as to facilitate digital testing using digital means. During the testing process, the equipment or system object needs to be separately and iteratively tested digitally (sd), installed test (sp), process fusion (sf), and result fusion (sr) to finally form a comprehensive test result (PDEO).

[0065] Digital testing is to test the digital models of equipment and systems. After the test is completed, the data must be sent to the next iteration of digital testing and the process fusion module in parallel. Installation testing is to test the actual physical equipment of equipment and systems. After the test is completed, the data must be sent to the next iteration of installation testing and the process fusion module in parallel. The process fusion module includes a process fusion model and a process fusion mechanism. After the process fusion module receives the process step data and key parameter data information from digital testing and installation testing, it processes them in this module and transmits the output data to the result fusion module. After the result fusion module receives the information data output from the process fusion module, it is iteratively processed by this module and transmitted to the next iteration of the result fusion module. The comprehensive test result module receives the installation test, digital test, and result fusion information data after multiple iterations, and generates comprehensive test results after calculation and processing.

[0066] The above description covers the specific implementation details of a multi-factor integration process model, a data trust compensation mechanism, and a method for calculating the comprehensive results of digital-real fusion testing. It fully considers various technical details and their interrelationships to ensure efficient and accurate data processing and analysis in practical applications.

[0067] The contents not described in detail in the specification of the present invention belong to the prior art known to the professional and technical personnel in this field.

[0068] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A digital-real fusion testing method based on element fusion, characterized in that: include: Step 1: Perform digital testing on the digital models of the equipment and system. After the digital testing is completed, the process step data and key parameter data are sent to the next iteration and process fusion module of the digital testing in parallel. Step 2: Perform installation test on the actual physical equipment of the equipment and system. After the installation test is completed, the process step data and key parameter data are sent to the next iteration and process fusion module of the installation test in parallel; Step 3: After the process fusion module receives the process step data and key parameter data from the digital test and the actual installation test, it processes them through the process fusion mechanism in the module and transmits the output data to the result fusion module; Step 4: After the result fusion module receives the data output from the process fusion module, it is iteratively processed by the result fusion module and transmitted to the next iteration of the result fusion module; Step 5: The comprehensive test result module receives the process step data and key parameter data from the actual installation test after multiple iterations, the process step data and key parameter data from the digital test after multiple iterations, and the results of the result fusion module after multiple iterations, and generates a comprehensive test result after calculation and processing.

2. The digital-real fusion testing method based on element fusion according to claim 1 is characterized in that: Step 1 includes: designing a multi-port parallel transmission mechanism for the test data of each step or beat in the digital test process, and outputting them to the next digital test step or beat and process fusion module respectively; Step 2 includes: designing a multi-port parallel transmission mechanism for the test data of each step or beat in the actual installation test process, and outputting them to the next actual installation test step or beat and process fusion module respectively; Step three includes: the process fusion module receives the process step data and key parameter data of the actual installation test and the process step data and key parameter data of the digital test, substitutes the process step data and key parameter data of the two into the process fusion module, performs difference comparison, feature extraction, feature dimension reduction, and feature correlation analysis, and generates supplementary data for the missing parts in the actual installation data by relying on the process fusion module, which is recorded as There are two sources of compensation data. One is to rely on other actual test data input and process fusion module calculation and generation, denoted as The other is to rely on other digital test data input and process fusion module calculation and generation, denoted as , the KS algorithm is used to perform difference analysis on the compensated data generated from the two sources. If the P value of the KS algorithm is less than 0.05, weighted fusion is performed separately: ； in, It is a statistic that measures whether the sample data conforms to the assumed distribution. The smaller the p value, the greater the difference between the two samples. If it is not less than 0.05, the two samples are equally weighted and merged, that is: ； Step 4 includes: the result fusion module fuses the result of the process fusion module with the result of the previous step result fusion module: and the object to be fused Carry out the separate empowerment operation, and wait for the fusion object The weight is greater than the result of the previous step fusion , the design result fusion formula is: ； Step 5 includes: the comprehensive test results are updated as the number of iterations increases, and the new comprehensive test results are integrated into the previous iteration results during the update process, including: a. The expression of the comprehensive test result is: ； in, is the result of the result fusion module of the nth iteration, is the actual test result of the nth iteration, is the numerical test result of the nth iteration; The iterative process calculation formula for the comprehensive test results is: ； ； in, , , The weights of the result fusion module results, the actual installation test results, and the digital test results; The weight changes with the number of iterations, and the weight setting formula is as follows: ； ； ； Among them, k is the adjustment coefficient, and the change trend of each weight is controlled by adjusting the value of k.

3. The digital-real fusion testing method based on element fusion according to claim 2 is characterized in that: The adjustment coefficient k is set as follows: in the early stage of iteration, the weight of the result fusion module is small, and the growth rate is slow with the number of iterations, while the weight of the actual test result and the digital test result is large, and the growth rate is fast with the number of iterations; In the later stage of iteration, the weight of the result fusion module is larger and increases faster with the number of iterations, while the weight of the actual test results and the digital test results is smaller and increases slower with the number of iterations.

4. The digital-real fusion testing method based on element fusion according to claim 3 is characterized in that: The adjustment coefficient k is set according to a predetermined number of iterations.

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