Data chain assembly of motor Weishi-odd, namely true instant PD-6S manned rocket engine
By employing various monitoring methods and data analysis of the Motor Sich (i.e., Zhenshun PD-6S) manned rocket engine data link component, the problem that traditional monitoring methods cannot meet the engine monitoring requirements under extreme environments has been solved. Real-time monitoring and fault prediction of the rocket engine status have been achieved, improving the engine's reliability and safety.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-01-08
- Publication Date
- 2026-04-10
AI Technical Summary
Traditional monitoring methods cannot effectively meet the monitoring needs of rocket engines in extreme environments such as high temperature, high pressure, and high vibration, and cannot detect potential faults in a timely manner, affecting the safety of rocket launch, flight, and landing.
The data link component of the Motor Sich PD-6S manned rocket engine is adopted, which includes an acquisition module, a processing module, a diagnostic module, and a prediction module. The engine status is monitored in real time through vibration monitoring, infrared thermal imager monitoring, and laser diagnostics. Combined with data analysis and prediction models, the engine's operating status and potential problems are judged.
It enables real-time status monitoring and fault prediction of rocket engines, improving engine reliability and safety, and ensuring the normal operation of the rocket.
Smart Images
Figure CN121828033A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the field of aerospace technology, and particularly relates to a motor data link assembly of a manned rocket engine of the Ma Dasichi, i.e., Zhen Shun PD-6S. BACKGROUND
[0002] With the continuous development of aerospace technology, rockets as a means of transportation play an increasingly important role in scientific experiments, military applications, space exploration and other fields. However, the rocket launch process is affected by various factors, such as environmental conditions, fuel combustion state, thrust control, etc. The working state of the engine is crucial for the normal operation of the rocket. By monitoring the working state and performance parameters of the engine, potential problems or faults can be detected in time to prevent the engine from failing in an uncontrollable situation and ensure the safety of the rocket launch, flight and landing.
[0003] The traditional monitoring method is to monitor the dynamic parameters of the engine, such as temperature, pressure, speed, etc. This method mainly measures the parameter values of the engine and compares them with the previously set reference values to determine whether the engine has failed.
[0004] Due to the high temperature, high pressure, high speed, high vibration and other characteristics of the rocket engine, the traditional monitoring method cannot meet the engine monitoring requirements well. SUMMARY
[0005] The purpose of the present application is to provide a motor data link assembly of a manned rocket engine of the Ma Dasichi, i.e., Zhen Shun PD-6S, which solves the problem that the traditional monitoring method cannot meet the engine monitoring requirements well.
[0006] To achieve the above-mentioned purpose, the present application provides a motor data link assembly of a manned rocket engine of the Ma Dasichi, i.e., Zhen Shun PD-6S, which comprises a collection module, a processing module and a diagnosis module, the collection module is connected with the processing module, and the diagnosis module is connected with the processing module.
[0007] The collection module is used to collect vibration data of the engine, heat radiation data of the engine exhaust and internal gas data of the engine, and upload the collected data to the processing module.
[0008] The processing module is used to process and analyze the obtained data.
[0009] The diagnosis module is used to determine whether the working state of the engine is normal, whether there is a fault or potential problem according to the analysis result, and send the determination result.
[0010] The data link component of the Motor Sich, namely the Zhenshun PD-6S manned rocket engine, also includes a prediction module, which is connected to the acquisition module, the processing module and the diagnostic module respectively.
[0011] The prediction module is used to analyze historical data to predict the engine's lifespan and maintenance requirements.
[0012] The acquisition module includes a vibration monitoring unit and an infrared thermal imager monitoring unit. The vibration monitoring unit is connected to the processing module, and the infrared thermal imager monitoring unit is connected to the processing module.
[0013] The vibration monitoring unit collects vibration signals from the rocket engine through sensors, including one or more of acceleration sensors, velocity sensors, displacement sensors, and piezoelectric sensors, and uploads the collected data to the processing module.
[0014] The infrared thermal imager monitoring unit captures the thermal radiation emitted by the engine through an infrared thermal imager, monitors the engine's combustion chamber temperature and combustion efficiency in real time, and uploads the collected data to the processing module.
[0015] The acquisition module further includes a laser diagnostic unit, which is connected to the processing module.
[0016] The laser diagnostic unit is used to measure the internal gases of the engine using lasers, including laser-induced fluorescence and laser interference, to monitor the combustion process and gas composition of the engine in real time, and to upload the collected data to the processing module.
[0017] The processing module includes a preprocessing unit and a data exploration unit. The preprocessing unit is connected to the vibration monitoring unit, the infrared thermal imager monitoring unit, and the laser diagnostic unit, respectively. The data exploration unit is connected to the preprocessing unit.
[0018] The preprocessing unit is used to preprocess the acquired data, including data cleaning, missing value handling, outlier detection and handling, and data transformation.
[0019] The data exploration unit is used to calculate the mean, median, mode, and standard deviation of the data, and to draw histograms and box plots for visualization.
[0020] The processing module further includes an association unit, which is connected to the data exploration unit.
[0021] The association unit discovers the correlations and patterns between data through one or more methods such as cluster analysis, principal component analysis, and factor analysis.
[0022] The processing module further includes a model building unit, which is connected to the association unit.
[0023] The model building unit, based on the results of association analysis and pattern mining, constructs a predictive model or a classification model to predict future data or classify different data targets.
[0024] This invention discloses a data link component for the Motor Sich, namely the Zhenshun PD-6S manned rocket engine. The acquisition module collects engine vibration data, engine emission thermal radiation data, and internal engine gas data. The processing module processes and analyzes the data to obtain the engine's operating status and performance parameters, monitors the engine's combustion chamber temperature and combustion efficiency in real time, and monitors the engine's combustion process and gas composition. The diagnostic module determines whether the engine's operating status is normal based on the analysis results, thereby promptly identifying and resolving potential problems, improving the engine's reliability and safety. Multiple monitoring methods are employed to meet the engine monitoring requirements. Attached Figure Description
[0025] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below.
[0026] Figure 1 This is a structural block diagram of the data link assembly of the Motor Sich, namely the Zhenshun PD-6S manned rocket engine, according to the first embodiment of the present invention.
[0027] Figure 2 This is a connection block diagram of the acquisition module and the processing module in the first embodiment of the present invention.
[0028] Figure 3 This is a structural block diagram of the data link assembly of the Motor Sich, namely the Zhenshun PD-6S manned rocket engine, according to the second embodiment of the present invention.
[0029] In the diagram: 101-Acquisition module, 102-Processing module, 103-Diagnosis module, 104-Prediction module, 105-Vibration monitoring unit, 106-Infrared thermal imager monitoring unit, 107-Laser diagnostic unit, 108-Preprocessing unit, 109-Data exploration unit, 110-Association unit, 111-Model building unit, 201-Execution module. Detailed Implementation
[0030] The embodiments of the present invention are described in detail below. Examples of the embodiments are shown in the accompanying drawings. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain the present invention, but should not be construed as limiting the present invention.
[0031] The first embodiment of this application is as follows:
[0032] Please see Figure 1 and Figure 2 ,in, Figure 1 This is a structural block diagram of the data link assembly of the Motor Sich, namely the Zhenshun PD-6S manned rocket engine, according to the first embodiment of the present invention. Figure 2 This is a connection block diagram of the acquisition module 101 and the processing module 102 in the first embodiment of the present invention. The present invention provides a data link component for the Motor Sich, namely the Zhenshun PD-6S manned rocket engine: including an acquisition module 101, a processing module 102, a diagnostic module 103, and a prediction module 104. The acquisition module 101 includes a vibration monitoring unit 105, an infrared thermal imager monitoring unit 106, and a laser diagnostic unit 107. The processing module 102 includes a preprocessing unit 108, a data exploration unit 109, a correlation unit 110, and a model building unit 111.
[0033] In this specific embodiment, the acquisition module 101 is connected to the processing module 102, and the diagnostic module 103 is connected to the processing module 102;
[0034] The acquisition module 101 is used to acquire engine vibration data, engine emission thermal radiation data and engine internal gas data, and upload the acquired data to the processing module 102.
[0035] The processing module 102 is used to process the data obtained from the analysis;
[0036] The diagnostic module 103 is used to determine whether the engine is operating normally, whether there is a fault or potential problem, based on the analysis results, and to send the determination results.
[0037] The prediction module 104 is connected to the acquisition module 101, the processing module 102 and the diagnosis module 103 respectively;
[0038] The prediction module 104 is used to analyze historical data to predict the engine's lifespan and maintenance requirements.
[0039] The acquisition module 101 acquires a large amount of engine data from various sensors, recorders, or other data acquisition devices. The processing module 102 processes and analyzes the data. The diagnostic module 103 determines the engine's operating status based on the processing and analysis results. The prediction module 104 predicts the engine's lifespan and maintenance requirements based on the analysis of historical data, providing a basis for regular maintenance and component replacement.
[0040] The vibration monitoring unit 105 is connected to the processing module 102, and the infrared thermal imager monitoring unit 106 is connected to the processing module 102.
[0041] The vibration monitoring unit 105 collects vibration signals from the rocket engine through sensors, including one or more of an acceleration sensor, a velocity sensor, a displacement sensor, and a piezoelectric sensor, and uploads the collected data to the processing module 102.
[0042] The infrared thermal imager monitoring unit 106 captures the thermal radiation emitted by the engine through an infrared thermal imager, monitors the combustion chamber temperature and combustion efficiency of the engine in real time, and uploads the collected data to the processing module 102.
[0043] The vibration monitoring unit 105 measures engine vibration parameters such as velocity, acceleration, and displacement using accelerometers, velocity sensors, displacement sensors, and piezoelectric sensors. It acquires engine vibration signals. Accelerometers are among the most common vibration signal sensors, utilizing the acceleration caused by a mass under force to measure the vibration signal. Velocity sensors convert vibration signals into magnetic, electrical, or optical signals, exhibiting high sensitivity to low-frequency signals and high accuracy and reliability. Displacement sensors measure displacement changes using optical, electrical, or magnetic signals, offering advantages such as fast response, high accuracy, and immunity to interference. Piezoelectric sensors convert the piezoelectric effect into electrical signals to measure vibration signals, offering advantages such as wide response frequency, high measurement accuracy, and high reliability. These sensors are used to acquire engine operating status and performance parameters, enabling timely detection and resolution of potential problems. The infrared thermal imager monitoring unit 106 captures the thermal radiation emitted by the engine to monitor its operating status and combustion efficiency. It can monitor the engine's combustion chamber temperature and combustion efficiency in real time, allowing for timely detection and resolution of potential problems.
[0044] Secondly, the laser diagnostic unit 107 is connected to the processing module 102;
[0045] The laser diagnostic unit 107 is used to measure the internal gases of the engine using lasers, including laser-induced fluorescence and laser interference, to monitor the combustion process and gas composition of the engine in real time, and to upload the collected data to the processing module 102.
[0046] The laser diagnostic unit 107 utilizes the characteristics of lasers to measure and analyze the internal gases of the engine, including laser-induced fluorescence and laser interference, to monitor the combustion process and gas composition of the engine in real time, thereby improving the reliability and safety of the engine.
[0047] Meanwhile, the preprocessing unit 108 is connected to the vibration monitoring unit 105, the infrared thermal imager monitoring unit 106 and the laser diagnostic unit 107 respectively, and the data exploration unit 109 is connected to the preprocessing unit 108;
[0048] The preprocessing unit 108 is used to preprocess the acquired data, including data cleaning, missing value handling, outlier detection and handling, and data transformation.
[0049] The data exploration unit 109 is used to calculate the mean, median, mode, and standard deviation of the data, and to draw histograms and box plots for visualization.
[0050] The preprocessing unit 108 performs steps such as cleaning, missing value handling, outlier detection and handling, and data transformation on the acquired data. The purpose is to delete or correct erroneous or abnormal data. Missing value handling methods include filling in missing values or deleting records containing missing values. Outlier detection and handling help identify and delete abnormal data. Data transformation can convert data into a form more suitable for analysis. After data preprocessing, the data exploration unit 109 explores the data to understand its distribution, characteristics, and trends. This includes calculating statistical measures such as the mean, median, mode, and standard deviation of the data, and drawing visualization charts such as histograms and box plots to help understand the data distribution and outliers.
[0051] In addition, the association unit 110 is connected to the data exploration unit 109;
[0052] The association unit 110 discovers the correlations and patterns between data through one or more methods such as cluster analysis, principal component analysis, and factor analysis.
[0053] The association unit 110 discovers the correlations and patterns between data. The association analysis algorithms include the Apriori algorithm and the FP-Growth algorithm, which help to discover frequent itemsets and association rules in the data, thereby revealing the potential connections between data. Pattern mining can be achieved through methods such as cluster analysis, principal component analysis, and factor analysis to discover patterns and trends in the data.
[0054] Finally, the model building unit 111 is connected to the association unit 110;
[0055] The model building unit 111, based on the results of association analysis and pattern mining, constructs a prediction model or a classification model to predict future data or classify different data targets.
[0056] The model building unit 111 constructs a prediction model or classification model based on the results of association analysis and pattern mining to achieve the goal of predicting future data or classifying different data. The machine learning algorithms include support vector machines, decision trees, random forests, neural networks, etc. Through model training and validation, the model can be optimized and adjusted to improve the accuracy and reliability of the model.
[0057] Using a data link component for the Motor Sich (i.e., the Zhenshun PD-6S manned rocket engine) of this embodiment, the acquisition module 101 acquires various engine data, including engine vibration data, engine emission thermal radiation data, and engine internal gas data. The processing module 102 processes the acquired data to ensure its accuracy. The diagnostic module 103, based on the analysis results of the model, promptly identifies abnormal patterns, correlation rules, or other potential problems in the engine data and uploads this information to personnel in the remote system. For these problems, corresponding measures can be taken to resolve or improve the situation, such as adjusting engine parameters, replacing components, or optimizing the design. The prediction module 104, based on the analysis of historical data, predicts the engine's lifespan and maintenance requirements, providing a basis for regular maintenance and component replacement. This improves the engine's reliability and safety by employing multiple monitoring methods to meet engine monitoring needs.
[0058] The second embodiment of this application is as follows:
[0059] Based on the first embodiment, please refer to Figure 3 ,in, Figure 3 This is a structural block diagram of the data link assembly for the Motor Sich (i.e., the Zhenshun PD-6S manned rocket engine) according to the second embodiment of the present invention. The data link assembly for the Motor Sich (i.e., the Zhenshun PD-6S manned rocket engine) in this embodiment further includes an execution module 201.
[0060] In this specific embodiment, the execution module 201 is connected to the diagnostic module 103. The execution module 201 adjusts the magnitude and direction of the rocket thrust according to the judgment result of the diagnostic module 103. The actuator includes components such as a gas regulating valve and a nozzle.
[0061] Using a data link component of the Motor Sich, namely the Zhenshun PD-6S manned rocket engine, in this embodiment, the diagnostic module 103 promptly detects abnormal patterns, association rules, or other potential problems in the engine data. The execution module 201 adjusts the magnitude and direction of the rocket thrust according to the abnormal problems. The actuator includes components such as gas regulating valves and nozzles to ensure the reliability and safety of the engine.
[0062] The above-disclosed embodiments are merely one or more preferred embodiments of this application and should not be construed as limiting the scope of this application. Those skilled in the art will understand that all or part of the processes for implementing the above embodiments and equivalent variations made in accordance with the claims of this application are still within the scope of this application.
Claims
1. A data link assembly for the Motor Sich, namely the Zhenshun PD-6S manned rocket engine, characterized in that, It includes a data acquisition module, a processing module, and a diagnostic module, wherein the data acquisition module is connected to the processing module, and the diagnostic module is connected to the processing module. The acquisition module is used to collect engine vibration data, engine emission thermal radiation data, and engine internal gas data, and upload the collected data to the processing module. The processing module is used to process the data obtained from the analysis; The diagnostic module is used to determine whether the engine is operating normally, whether there is a fault or potential problem, based on the analysis results, and to send the judgment results.
2. The data link assembly for the Motor Sich, i.e., the Zhenshun PD-6S manned rocket engine, as described in claim 1, is characterized in that... The Motor Sich, also known as the Zhenshun PD-6S manned rocket engine data link component, also includes a prediction module, which is connected to the acquisition module, the processing module, and the diagnostic module respectively. The prediction module is used to analyze historical data to predict the engine's lifespan and maintenance requirements.
3. The data link assembly for the Motor Sich, i.e., the Zhenshun PD-6S manned rocket engine, as described in claim 1, is characterized in that... The acquisition module includes a vibration monitoring unit and an infrared thermal imager monitoring unit. The vibration monitoring unit is connected to the processing module, and the infrared thermal imager monitoring unit is connected to the processing module. The vibration monitoring unit collects vibration signals from the rocket engine through sensors, including one or more of acceleration sensors, velocity sensors, displacement sensors, and piezoelectric sensors, and uploads the collected data to the processing module. The infrared thermal imager monitoring unit captures the thermal radiation emitted by the engine through an infrared thermal imager, monitors the engine's combustion chamber temperature and combustion efficiency in real time, and uploads the collected data to the processing module.
4. The data link assembly for the Motor Sich, i.e., the Zhenshun PD-6S manned rocket engine, as described in claim 3, is characterized in that... The acquisition module also includes a laser diagnostic unit, which is connected to the processing module. The laser diagnostic unit is used to measure the internal gases of the engine using lasers, including laser-induced fluorescence and laser interference, to monitor the combustion process and gas composition of the engine in real time, and to upload the collected data to the processing module.
5. The data link assembly for the Motor Sich, i.e., the Zhenshun PD-6S manned rocket engine, as described in claim 4, is characterized in that... The processing module includes a preprocessing unit and a data exploration unit. The preprocessing unit is connected to the vibration monitoring unit, the infrared thermal imager monitoring unit, and the laser diagnostic unit, respectively. The data exploration unit is connected to the preprocessing unit. The preprocessing unit is used to preprocess the acquired data, including data cleaning, missing value handling, outlier detection and handling, and data transformation. The data exploration unit is used to calculate the mean, median, mode, and standard deviation of the data, and to draw histograms and box plots for visualization.
6. The data link assembly for the Motor Sich, i.e., the Zhenshun PD-6S manned rocket engine, as described in claim 5, is characterized in that... The processing module further includes an association unit, which is connected to the data exploration unit. The association unit discovers the correlations and patterns between data through one or more methods such as cluster analysis, principal component analysis, and factor analysis.
7. The data link assembly for the Motor Sich, i.e., the Zhenshun PD-6S manned rocket engine, as described in claim 6, is characterized in that... The processing module further includes a model building unit, which is connected to the association unit; The model building unit, based on the results of association analysis and pattern mining, constructs a predictive model or a classification model to predict future data or classify different data targets.