Engine test process control method, system, device and storage medium

Abstract

The present invention proposes an engine test process control method, system, equipment and storage medium, which belongs to the field of rocket engine testing, including: collecting test data of the target engine in the target test step, and obtaining multiple historical data form parameters of the engine test; normalizing and sparse processing of multiple test data in turn; judging whether the target engine is working normally according to the consistency between the sparse field data and the test parameters and the data form parameters, and then controlling the target engine to enter the next test step, and driving another engine to enter the target test step. The present invention reduces the amount of data processing and greatly improves the efficiency of test process management by normalizing and sparse processing of multiple data, and drives different engines to run in parallel through the integrated data, thereby realizing the parallel operation of multiple engines.

Description

Technical Field

[0001] The present invention belongs to the technical field of rocket engine testing, and specifically relates to an engine testing process control method, system, equipment and storage medium. Background Art

[0002] Liquid rocket engine testing refers to the process of installing a fixed engine on a special test bench, supplying the propellant required for the engine to work, controlling the engine to ignite according to the set working conditions, and measuring and analyzing the engine operating parameters during the ignition test. Around a test, it is necessary to carry out engine hoisting, engine installation, sensor and auxiliary equipment installation, engine pre-test, engine hot test, engine post-test processing, engine post-test removal, engine post-test hoisting and returning to the factory, etc. There are many contents and a long process chain. In order to ensure the quality of the test, it is necessary to record the key processes from the engine being put on the test bench to the engine being taken off the test bench and returned to the factory in detail, so that the results can be queried and the data can be traced.

[0003] However, since there are many systems related to the liquid rocket engine test bench, especially many systems are closely integrated with the environment, they have a great impact on the environment during operation. At the same time, there are many devices involved in the entire control process, the data is huge, and there are many related knowledge positions involved, which makes direct management difficult. In addition, the relevant test parameters of the test bench vary greatly, and there are many changing parameters. There are relatively few daily data and they change slowly. The on-site control system switches between frequent daily control and test control. The conventional time period setting method has poor adaptability and requires more human intervention.

[0004] In addition, since conventional driving methods need to process multiple data at the same time (including forms, fast real-time data, and slow long-term data, etc.), it is difficult to extract effective data during system processing, and there are problems such as large data processing volume and slow overall data processing speed, which is not conducive to controlling the rhythm of test process management. Summary of the invention

[0005] In order to solve the problem of large test data and difficult management in traditional test, the present invention proposes an engine test process control method.

[0006] In order to achieve the above object, the present invention proposes the following technical solutions:

[0007] An engine test process control method comprises the following steps:

[0008] Collecting test data of the target engine in the target test step, and obtaining a plurality of historical data form parameters of the engine test, wherein the test data includes a plurality of field type data, a plurality of system state parameters and a plurality of test parameters;

[0009] Normalizing multiple field data, multiple system state parameters, and multiple test parameters respectively, and sparsely processing the normalized system state parameters and test parameters respectively to obtain sparsely processed system state parameters and test parameters;

[0010] If the normalized field data and the sparse test parameters are consistent with the corresponding data in the digitized form parameters, the consistency of the sparse system state parameters and the corresponding data in the digitized form parameters is determined;

[0011] If they are consistent, the target engine is determined to enter the next test step, and the other engine is driven to enter the target test step.

[0012] Preferably, the field data are operating parameters of various components when the target engine is running, including various interface installation torques, surface quality inspection data of the target engine, water vapor content of the pipeline of the target engine, and electrical resistance values ​​of various sensors;

[0013] The system status parameters are data collected by real-time monitoring of the engine before and after the test run, including relevant internal leakage data, external leakage data, pressure maintenance data, abnormal data and pressure reduction data;

[0014] The test parameters include various real-time strategy parameters during the engine test, and the test parameters are obtained through the test data measurement and control platform;

[0015] The historical data form parameters include various operating experience values ​​of the engine system.

[0016] Preferably, the normalizing of the plurality of field data, the plurality of system state parameters and the plurality of test parameters respectively comprises:

[0017] The average value of the engine parameters, the average variance of the target engine parameters obtained from multiple tests, and the sum of the test optimal variance coefficients are obtained, and the ratio between the average value of the engine parameters and the sum is calculated to obtain normalized field data;

[0018] Calculate the ratio between the square of the mean value of multiple test parameters and the sum of the squares of the multiple test parameters to obtain the normalized test parameters;

[0019] The ratio between the square of the mean value of the multiple system state parameters and the sum of the squares of the multiple system state parameters is calculated to obtain the normalized system state parameters.

[0020] Preferably, the normalized system state parameters and test parameters are respectively sparsely processed to obtain the sparsely processed system state parameters and test parameters, specifically:

[0021] The normalized system state parameter sets and test parameter sets of different data intervals are respectively obtained to obtain the sparse system state parameters and test parameters; wherein different data intervals refer to different time regions.

[0022] The present invention also proposes an engine test process control system, comprising:

[0023] A data acquisition module is used to collect test data of a target engine in a target test step and obtain a plurality of historical data form parameters of the engine test, wherein the test data includes a plurality of field data, a plurality of system state parameters and a plurality of test parameters;

[0024] A data processing module is used to normalize a plurality of field data, a plurality of system state parameters and a plurality of test parameters, and to sparse the normalized system state parameters and test parameters, to obtain sparse system state parameters and test parameters;

[0025] The judgment module is used to determine the operating status of the target engine and the engine to be driven, specifically including:

[0026] If the normalized field data and the sparse test parameters are consistent with the corresponding data in the digitized form parameters, the consistency of the sparse system state parameters and the corresponding data in the digitized form parameters is determined;

[0027] If they are consistent, the target engine is determined to enter the next test step, and the other engine is driven to enter the target test step.

[0028] The present invention also proposes a computer device, comprising a memory, a processor and a computer program stored in the memory, wherein the processor executes the computer program to implement any one of the steps in the engine test process control method.

[0029] The present invention also proposes a computer-readable storage medium, on which a computer program is stored, and is characterized in that when the computer program is loaded by a processor, it can execute any one of the steps in the engine test process control method.

[0030] The engine test process control method proposed by the present invention has the following beneficial effects:

[0031] The present invention obtains the test data of the target engine in the target test step and multiple historical data form parameters of the engine test, normalizes different types of test data, and performs sparse processing on the normalized data. A judgment is made based on the consistency between the processed data and the corresponding data in the historical data form parameters to determine the operating status of the target engine and the engine to be driven. By normalizing and sparsely processing multiple data, the amount of data processing is reduced, the efficiency of test process management is greatly improved, and different engines are driven to run in parallel through the integrated data, thereby realizing parallel operation of multiple engines. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to more clearly illustrate the embodiment of the present invention and its design scheme, the following briefly introduces the drawings required for this embodiment. The drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0033] Figure 1 It is a data acquisition flow chart of the engine test process control method proposed by the present invention;

[0034] Figure 2 Run flow pattern diagram for multiple engines in parallel. DETAILED DESCRIPTION

[0035] In order to enable those skilled in the art to better understand the technical solution of the present invention and implement it, the present invention is described in detail below in conjunction with the accompanying drawings and specific embodiments. The following embodiments are only used to more clearly illustrate the technical solution of the present invention, and cannot be used to limit the scope of protection of the present invention.

[0036] In the field of rocket engine testing, with the continuous increase in test tasks, the original work flow and test process control cannot adapt to the requirements of high-density testing, and cannot meet the requirements of continuous testing of one engine every two days. Therefore, it is necessary to establish a continuous control method that can meet the parallel operation of multiple engines, ensuring that more than three engines are controlled in parallel on the test bench to achieve efficient test process control.

[0037] The present invention uses the original data sample as the operation condition, continuously iterates, and proposes a highly adaptable driving method that combines short-term test data and daily long-term data. This method focuses on the core resources of the test bench, optimizes the previous serial test process to efficient parallel; changes the test bench operation flow mode from manual control to data-driven; optimizes the quality control mode to an automated confirmation method based on data, and improves the test guarantee capability.

[0038] Based on this, the present invention proposes an engine test process control method, the implementation of which mainly includes the following steps:

[0039] The test data of the target engine in the target test steps are collected, and multiple historical data form parameters of the engine test are obtained. The test data includes multiple field data, multiple system status parameters and multiple test parameters.

[0040] A plurality of field data, a plurality of system state parameters and a plurality of test parameters are respectively normalized, and the normalized system state parameters and test parameters are respectively sparsely processed to obtain sparsely processed system state parameters and test parameters.

[0041] If the normalized field data and the sparse test parameters are consistent with the corresponding data in the digitized form parameters, the consistency of the sparse system state parameters and the corresponding data in the digitized form parameters is determined.

[0042] If they are consistent, the target engine is determined to enter the next test step, and the other engine is driven to enter the target test step.

[0043] In this way, test data of multiple engines in different test steps are acquired, and the test data are normalized and sparsely processed. The consistency of the relevant data with the corresponding data in the digitized form parameters is judged based on the processing results, and then the working status of the engine is judged based on the consistency of the data. Different engines are driven to run in parallel according to the working status of the engine.

[0044] Among them, multiple field data, multiple system status parameters and multiple test parameters are normalized respectively, including:

[0045] The average value of the engine parameters, the average variance of the target engine parameters obtained from multiple tests and the sum of the best variance coefficients of the test are obtained, and the ratio between the average value of the engine parameters and the sum is calculated to obtain the normalized field data.

[0046] The ratio between the square of the mean value of multiple test parameters and the sum of the squares of the multiple test parameters is calculated to obtain the normalized test parameters.

[0047] The ratio between the square of the mean value of the multiple system state parameters and the sum of the squares of the multiple system state parameters is calculated to obtain the normalized system state parameters.

[0048] The normalized system state parameters and test parameters are sparsely processed to obtain the sparse system state parameters and test parameters, which are as follows:

[0049] The normalized system state parameter sets and test parameter sets of different data intervals are respectively obtained to obtain the sparse system state parameters and test parameters; wherein different data intervals refer to different time regions.

[0050] Example 1

[0051] The engine test process control method proposed by the present invention is further described below through a specific embodiment. The method mainly includes the following steps:

[0052] Step 1: Obtain test data.

[0053] This process control method is mainly based on the engine flow mode (process) of multi-station functional layout, centered on the core resources of the test bench, and aims to complete the test process control of multiple engines in parallel; it is completed in a data-driven manner, through the various relevant data generated by each engine in the process, to drive the related processes to run continuously, and by obtaining various types of data and judging the status of various data, to drive the parallel flow of multiple engines. The process of obtaining various relevant data in the present invention is as follows Figure 1 As shown. The main data includes four types, and the data-driven test process and its control are realized by integrating multiple data types. The four data types and their main composition and characteristics are as follows:

[0054] Type 1, on-site data: This type of data mainly includes the operating status data of various on-site equipment, which can reflect the status of various equipment that need to be driven on-site, including various interface installation torques, product surface quality inspection data, pipeline water vapor content of the target engine, electrical resistance of related engine sensors, etc. Figure 1 As shown, the bolt torque value obtained by the digital torque wrench, the product surface quality inspection data obtained by the multimedia recording camera, the pipeline water vapor content obtained by the dew point analyzer, and the electrical resistance value obtained by the special tester for the electrical system.

[0055] Type 2: Historical data form parameters for standardizing system operation: Contains various system operation experience values, such as personnel management, process management, operation knowledge, precautions, execution management, problem handling, data package sorting and visualization management, etc., which can standardize data-related boundaries and judgment criteria. Historical data form parameters are obtained through digital form input.

[0056] Type 3, test parameters collected at high speed during system testing: This type of data is various real-time strategy parameters during engine testing. This type of data collects computer measurement data through the test data measurement and control platform, including parameters that reflect various drastic changes in the system during the test and other relevant data of the engine during the test. Relevant test parameters are obtained through the measurement parameter analysis system and the control parameter analysis system. Type 1, type 2 and type 3 data are generally also used as input data for the test site execution control system of the engine test. At the same time, part of the type 3 data will also be used as input data for the command and decision-making system of the engine test.

[0057] Type 4, system status parameters: monitor the status of the system, obtain relevant internal leakage data, external leakage data, pressure maintenance data, abnormal data, pressure reduction data and abnormal data capture data, etc. These data comprehensively indicate the daily operation status of the system. The engine status is monitored in real time before and after the test run. These data, including the data collected before and after the test run, comprehensively indicate the daily operation status of the engine test system. The system status parameters are obtained through the all-weather collection and monitoring system. This data is generally also used as the input data of the status monitoring and early warning system of the engine test.

[0058] Figure 1 The uses of the four types of data are as follows:

[0059] Type 1 usage: For field parameters, they are greatly affected by the environment during use, so they are digitized to remove interference and retain valid data. These data are data of various equipment related to the engine equipment obtained on site. These related data can be used to understand the operating conditions of each device and the position and status of the engine in this process.

[0060] Type 2 usage: Historical digitized form parameters are also called digital data and form data. This data gives full play to its unaffected characteristics and is used to compare and screen abnormal parameters. That is, these form data can be used to determine whether the engine test has complied with relevant regulations, so as to determine whether the next judgment can be made and enter the next test process.

[0061] Type 3 purpose: Test parameters are the data of engine tests collected at high speed during system tests. These data can be used to determine whether the test is normal and whether the purpose has been achieved, and to further intervene in the process. For fast-changing parameters and important functional parameters, they are incorporated into the command decision-making that has been implemented, giving full play to the system's strong computing power and strong adaptability as test criteria.

[0062] Type 4 usage: System status parameters are imported into the status monitoring data set as long-term slowly changing parameters, giving full play to the fault analysis and long-term early warning functions of long-term data. Type 4 can judge the working status of the test system through long-term data accumulation, ensuring the smooth progress of each step in the entire process.

[0063] Step 2: Optimize the data.

[0064] Since the process control method needs to be driven by a variety of data to control the process, but because there are many types of data, and the amount of all data is large, and the data density varies greatly, it is necessary to consider how to effectively use the data and achieve fast data processing.

[0065] There are many devices involved in the entire management and control process, the data is huge, and there are many related knowledge positions involved, making it difficult to directly process the data. Therefore, unlike the traditional direct use of multiple data, in order to address the problems of many types of related data, large data volume and non-uniform density, the data are first normalized to ensure the full utilization of effective data and features, greatly improving data processing efficiency.

[0066] Specifically, a plurality of field data, a plurality of system state parameters and a plurality of test parameters are respectively normalized, specifically, each parameter is corrected, including:

[0067] Correction method of field data: Field parameter β = average value of engine parameters / (average value of engine parameters + average variance of target engine parameters obtained from multiple tests + best variance coefficient of the test)

[0068] Correction method of system state parameters: Rapidly changing data α1 = (fast data mean) 2 / Fast sum of squares of numbers.

[0069] Correction method of test parameters: long-term slowly changing data α2 = (mean of slow data) 2 / Sum of squares of slow values.

[0070] Among them, fast data are test parameters collected during system testing, and slow data are system status parameters.

[0071] The final planning data is the packaged data of field parameters β, digitized form parameters, fast-changing data α1, and long-term slowly changing data α2.

[0072] Through the normalization method, the multi-directional and multi-parameters are parameterized and normalized, which reduces the difficulty of data processing and improves the response of the system after its characteristics change. This method can reduce the excessive amount of data in complex and large-scale data applications.

[0073] In order to further improve the accuracy and efficiency of data processing, the present invention performs sparse processing on the normalized data based on the normalized data. The original data sub-sample (analyzing the sparse and dense segments of the collected data) is used as the operation condition, and the optimal data-driven method is obtained through continuous iteration to realize the automatic division of fast data segments and slow data segments in different time periods.

[0074] The formula for sparsification is as follows:

[0075] The data structure after sparseness = (fast data interval 1 + fast data interval 2 + ... fast data interval n1) + (slow data interval 1 + slow data interval 2 ... slow data interval n2); wherein, the data interval refers to different time regions.

[0076] The number of fast data intervals n1 = the number of time periods of data increase intervals + the number of mutations in the last data collection - the number of unchanged data in the last collection.

[0077] The number of slow data intervals n2 = the number of time periods in which data is reduced + the number of mutations in the last data collection - the number of unchanged data in the last collection.

[0078] Step 3: determine the operating status of the engine according to the sparse data, and drive different engines to run in parallel according to the working status of the engine.

[0079] By comparing the sparsely processed data with the historical data form parameters, the comparison results are used to determine whether each device in the engine test process is working properly (the judgment criteria include key data such as flow thrust to determine whether the engine is working properly, whether the system valves are working properly, whether the system has internal and external leakage, whether all automation equipment is working properly. The results are effectively returned, etc.), reduce the data volume density, extract valid data from high-density data, and meet the rapid response and data input requirements of the process control method.

[0080] Specifically: Based on the consistency between the normalized field data and the sparse test parameters and the corresponding data in the digitized form parameters, it is judged whether the target engine is working normally, and all related work in the target test steps is completed.

[0081] If the judgment result is that the data is consistent, it is determined whether the target engine system has a fault based on the consistency between the sparse system state parameters and the digitized form parameters.

[0082] If the result of the determination is that the target engine has no fault, the target engine enters the next test step and drives the other engine to enter the step just completed by the target engine.

[0083] In this way, test data of multiple engines in different test steps are acquired, and the test data are normalized and sparsely processed. The working state of the engine is determined based on the processing results, and different engines are driven to run in parallel based on the working state of the engine.

[0084] The present invention establishes a fast sparse method that can adapt to the data volume and magnitude in this way, and can iterate by itself to adapt to the changes in the test state, greatly improving the adaptability of the system. Through data sparseness, intervals that require high-speed measurement data and intervals that require low-speed data collection are established, and the established intervals are continuously improved through the iteration of existing data to better meet the test requirements and meet the test goal of one engine every two days.

[0085] The present invention collects, processes and simplifies various parameters of multiple engines to reduce the amount of calculation, controls the operating state of each engine according to the processed data, realizes the parallel operation of multiple engines, and monitors the operating state of each engine in the parallel operation at any time, so as to realize the following Figure 2 The multiple engines shown are tested in parallel, with the goal of completing the engine test in a 2-day cycle.

[0086] Based on the same inventive concept, the present invention also proposes an engine test process control system, including a data acquisition module, a data processing module, a judgment module and a drive module.

[0087] Specifically, the data acquisition module is used to collect test data of the target engine in the target test steps, and obtain multiple historical data form parameters of the engine test, wherein the test data includes multiple field data, multiple system state parameters and multiple test parameters.

[0088] The data processing module is used to normalize multiple field data, multiple system state parameters and multiple test parameters respectively, and to sparse the normalized system state parameters and test parameters respectively to obtain the sparse system state parameters and test parameters.

[0089] The judgment module is used to determine the operating status of the target engine and the engine to be driven, specifically including:

[0090] If the normalized field data and the sparse test parameters are consistent with the corresponding data in the digitized form parameters, the consistency of the sparse system state parameters and the corresponding data in the digitized form parameters is determined.

[0091] If they are consistent, the target engine is determined to enter the next test step, and the other engine is driven to enter the target test step.

[0092] Each module in the above engine test process control system can be implemented in whole or in part by software, hardware and their combination. Each module can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the corresponding operations of each module.

[0093] The present invention also provides a computer device, including a memory, a processor, and a computer program stored in the memory, wherein the processor executes the computer program to implement the steps in the engine test process control method embodiment. The specific implementation method can be found in the method embodiment, which will not be repeated here.

[0094] Furthermore, the present invention also proposes a non-temporary computer-readable storage medium containing instructions, and a computer program is stored on the storage medium. For example, a memory containing instructions, the above instructions can be executed by a processor of a computer device to complete the above method. For example, a non-temporary computer-readable storage medium can be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, and an optical data storage device. When the computer program is executed by the processor, the steps in the embodiment of the engine test process control method can be implemented. The specific implementation method can be found in the method embodiment, which will not be repeated here.

[0095] It should be understood by those skilled in the art that embodiments of the present invention may provide methods, systems or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware aspects. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0096] The present invention is described with reference to flowcharts and / or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as a combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0097] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0098] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, so that the instructions executed on the computer or other programmable device are used to implement the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0099] It should be pointed out that the specific implementation methods described above can enable those skilled in the art to understand the invention more comprehensively, but do not limit the invention in any way. Therefore, although the invention has been described in detail in this specification and embodiments, those skilled in the art should understand that the invention can still be modified or replaced by equivalents; and all technical solutions and improvements that do not deviate from the spirit and scope of the invention are included in the protection scope of the patent for the invention. Any figure mark in the claims should not be regarded as limiting the claims involved. Any simple change or equivalent replacement of the technical solution that can be obviously obtained by any technician familiar with the field within the technical scope disclosed in the present invention belongs to the protection scope of the present invention.

Claims

1. A method for controlling an engine test process, characterized in that: The following steps are involved: Collecting test data of the target engine in the target test step, and obtaining a plurality of historical data form parameters of the engine test, wherein the test data includes a plurality of field type data, a plurality of system state parameters and a plurality of test parameters; Normalizing multiple field data, multiple system state parameters, and multiple test parameters respectively, and sparsely processing the normalized system state parameters and test parameters respectively to obtain sparsely processed system state parameters and test parameters; If the normalized field data and the sparse test parameters are consistent with the corresponding data in the digitized form parameters, the consistency of the sparse system state parameters and the corresponding data in the digitized form parameters is determined; If they are consistent, the target engine is determined to enter the next test step, and the other engine is driven to enter the target test step; The field data are the operating parameters of each component of the target engine when it is running, including various interface installation torques, surface quality inspection data of the target engine, water vapor content in the pipeline of the target engine, and electrical resistance values ​​of each sensor; The system status parameters are data collected by real-time monitoring of the engine before and after the test run, including relevant internal leakage data, external leakage data, pressure maintenance data, abnormal data and pressure reduction data; The test parameters include various real-time strategy parameters during the engine test, and the test parameters are obtained through the test data measurement and control platform; The historical data form parameters include various operating experience values ​​of the engine system; The normalization processing of the plurality of field data, the plurality of system state parameters and the plurality of test parameters respectively comprises: The average value of the engine parameters, the average variance of the target engine parameters obtained from multiple tests, and the sum of the test optimal variance coefficients are obtained, and the ratio between the average value of the engine parameters and the sum is calculated to obtain normalized field data; Calculate the ratio between the square of the mean value of multiple test parameters and the sum of the squares of the multiple test parameters to obtain the normalized test parameters; Calculate the ratio between the square of the mean value of multiple system state parameters and the sum of the squares of the multiple system state parameters to obtain the normalized system state parameters; The normalized system state parameters and test parameters are respectively sparsely processed to obtain the sparsely processed system state parameters and test parameters, which are specifically: The normalized system state parameter sets and test parameter sets of different data intervals are respectively obtained to obtain the sparse system state parameters and test parameters; wherein different data intervals refer to different time regions.

2. An engine test process control system, characterized in that: include: A data acquisition module is used to collect test data of a target engine in a target test step and obtain a plurality of historical data form parameters of the engine test, wherein the test data includes a plurality of field data, a plurality of system state parameters and a plurality of test parameters; A data processing module is used to normalize a plurality of field data, a plurality of system state parameters and a plurality of test parameters, and to sparse the normalized system state parameters and test parameters, to obtain sparse system state parameters and test parameters; The judgment module is used to determine the operating status of the target engine and the engine to be driven, specifically including: If the normalized field data and the sparse test parameters are consistent with the corresponding data in the digitized form parameters, the consistency of the sparse system state parameters and the corresponding data in the digitized form parameters is determined; If they are consistent, the target engine is determined to enter the next test step, and the other engine is driven to enter the target test step; The field data are the operating parameters of each component of the target engine when it is running, including various interface installation torques, surface quality inspection data of the target engine, water vapor content in the pipeline of the target engine, and electrical resistance values ​​of each sensor; The system status parameters are data collected by real-time monitoring of the engine before and after the test run, including relevant internal leakage data, external leakage data, pressure maintenance data, abnormal data and pressure reduction data; The test parameters include various real-time strategy parameters during the engine test, and the test parameters are obtained through the test data measurement and control platform; The historical data form parameters include various operating experience values ​​of the engine system; The normalization processing of the plurality of field data, the plurality of system state parameters and the plurality of test parameters respectively comprises: The average value of the engine parameters, the average variance of the target engine parameters obtained from multiple tests, and the sum of the test optimal variance coefficients are obtained, and the ratio between the average value of the engine parameters and the sum is calculated to obtain normalized field data; Calculate the ratio between the square of the mean value of multiple test parameters and the sum of the squares of the multiple test parameters to obtain the normalized test parameters; Calculate the ratio between the square of the mean value of multiple system state parameters and the sum of the squares of the multiple system state parameters to obtain the normalized system state parameters; The normalized system state parameters and test parameters are respectively sparsely processed to obtain the sparsely processed system state parameters and test parameters, which are specifically: The normalized system state parameter sets and test parameter sets of different data intervals are respectively obtained to obtain the sparse system state parameters and test parameters; wherein different data intervals refer to different time regions.

3. A computer device comprising a memory, a processor and a computer program stored in the memory, characterized in that: The processor executes the computer program to implement the steps of the engine test process control method according to claim 1.

4. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is loaded by the processor, it can execute the steps of the engine test process control method described in claim 1.

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