Air tightness detection device of TR assembly for S-band active phased array radar

Abstract

The invention relates to the field of radar detection equipment, in particular to an air tightness detection device of a TR assembly for an S-band active phased array radar, which comprises a test box, a test cavity is arranged in the test box, a drawing frame is slidably mounted on the test cavity, a storage net rack is arranged on the inner side of the drawing frame, and the test cavity comprises an upper cavity body and a lower cavity body. The upper cavity is located above the storage net rack, the lower cavity is located below the storage net rack, the upper cavity and the lower cavity are each provided with an air inlet pipe and an air outlet pipe, through the design of the upper cavity and the lower cavity, air pressure in the test cavity can be evenly distributed on the outer side of the TR assembly, and therefore the accuracy of air tightness detection is improved, and the test efficiency is improved. The AI deep learning tree system is introduced, the pressure change is analyzed by using a machine learning method, the accuracy and efficiency of detection are further improved, the to-be-detected TR assembly is more convenient and rapid to put in and take out due to the design of the drawing frame, and the detection efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the field of radar detection equipment, in particular to an airtightness detection device for a TR component used in an S-band active phased array radar. Background Art

[0002] In radar systems, S-band active phased array radars are widely used due to their high precision, fast response and versatility. As a key component in radar systems, the performance of TR (Transmit / Receive) components directly affects the overall performance of the radar. Among them, airtightness is an important indicator of TR components, because good airtightness can ensure the stability and reliability of components in harsh environments, thereby extending the service life of the radar system.

[0003] However, there are some obvious problems and shortcomings in the existing TR component air tightness detection technology. Traditional detection devices often use a single detection cavity, which cannot achieve comprehensive and uniform air pressure distribution of TR components, resulting in inaccurate test results. At the same time, traditional detection devices also have shortcomings in temperature control and cannot accurately control the temperature environment in the test cavity, and temperature changes will have a significant impact on the air tightness test results. In addition, traditional detection devices are relatively backward in data processing and analysis, and cannot achieve rapid and accurate processing of large amounts of test data, let alone use advanced machine learning methods to predict and evaluate test results. Summary of the invention

[0004] 1. Technical issues to be resolved

[0005] In view of the deficiencies in the prior art, the present invention provides an airtightness detection device for a TR component for an S-band active phased array radar.

[0006] (II) Technical solution

[0007] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: an air tightness detection device for a TR component for an S-band active phased array radar of the present invention comprises a test box, a test cavity is provided inside the test box, a pull-out rack is slidably installed on the test cavity, a storage rack is provided on the inner side of the pull-out rack, the test cavity comprises an upper cavity and a lower cavity, and the upper cavity is located above the storage rack, and the lower cavity is located below the storage rack, an air intake pipe and an exhaust pipe are provided on the upper cavity and the lower cavity, a gas filter valve is arranged on the air intake pipe, an electromagnetic valve is arranged on the exhaust pipe, a booster air pump is installed at the input end of the air intake pipe, a controller is installed on the top of the test box, a plurality of pressure sensors and a gas detector are installed in the test cavity, and the pressure sensor, the gas detector, the booster air pump and the electromagnetic valve are all electrically connected to the controller.

[0008] Preferably, the test box is provided with a temperature regulating chamber, and the temperature regulating chamber is located outside the test chamber, the temperature regulating chamber surrounds the outside of the test chamber, a hot air blower is installed on one side of the test box, a cold air blower is installed on the other side of the test box, and the hot air blower and the cold air blower are both connected to the temperature regulating chamber, a temperature detector is installed in the test chamber, the cold air blower, the hot air blower and the temperature detector are all electrically connected to the controller, an exhaust duct is provided in the temperature regulating chamber, a regulating valve is arranged on the exhaust duct, and the regulating valve is electrically connected to the controller.

[0009] Further preferably, a plurality of fans are installed in the temperature regulating chamber, and the fans are electrically connected to the controller.

[0010] Again preferably, a data acquisition card and an AI deep learning tree system are configured on the main chip of the controller, the data acquisition card is used to collect data from the pressure sensor, the gas detector and the temperature sensor, and the AI ​​deep learning tree system is used to analyze the pressure changes in the test chamber to predict the air tightness of the TR component.

[0011] Preferably, the controller is provided with control buttons and a display screen, and the display screen is hinged to the controller via a damping shaft, a button slot is provided on the top of the controller, the control buttons are installed in the hinge slot, and the display screen and the control buttons are electrically connected to the main chip of the controller.

[0012] Further preferably, a warning light is provided on the front side of the controller, and the warning light is electrically connected to the main chip of the controller. The warning light is provided with three levels, including a primary warning light, an intermediate warning light and a high-level warning light, and each level of the warning light is provided with three grids.

[0013] Again preferably, the test cavity and the drawer frame are magnetically attracted via an electromagnetic lock, and the electromagnetic lock is electrically connected to the controller.

[0014] Preferably, the storage grid is provided with a plurality of beams, the beams are provided with a plurality of fixing holes, the fixing holes are installed with limiting bolts through threaded structures, a limiting plate is installed on the limiting bolts, and the limiting plate is wrapped with a rubber pad.

[0015] (III) Beneficial effects

[0016] Compared with the prior art, the present invention provides an airtightness detection device for a TR component for an S-band active phased array radar, which has the following beneficial effects:

[0017] Improve detection accuracy:

[0018] Through the design of the upper cavity and the lower cavity, the air pressure in the test cavity can be evenly distributed on the outside of the TR component, thereby improving the accuracy of airtightness testing.

[0019] The introduction of the AI ​​deep learning tree system uses machine learning methods to analyze pressure changes, further improving the accuracy and efficiency of detection.

[0020] Achieve efficient operation:

[0021] The design of the pull-out rack makes it easier and quicker to put in and take out the TR components to be tested, thus improving the testing efficiency.

[0022] The automated process of the data collection and processing system, including data collection, preprocessing, deep learning model training and decision tree construction, reduces manual intervention and speeds up detection.

[0023] Precise temperature control:

[0024] The temperature regulating chamber surrounds the outside of the test chamber, and cooperates with the hot air blower and the cold air blower to accurately control the temperature environment in the test chamber, eliminating the influence of temperature on the air tightness test results.

[0025] The use of fans ensures uniform temperature distribution in the test chamber, avoiding local over-high or over-low temperatures.

[0026] High level of intelligence and automation:

[0027] The controller's main chip is equipped with a data acquisition card and an AI deep learning tree system, which enables automatic data collection and analysis, as well as intelligent prediction of air tightness.

[0028] The report generation function can automatically generate an airtightness test report based on the analysis results, reducing the time and effort of manual report writing.

[0029] Security and reliability enhancements:

[0030] The electromagnetic lock design ensures that the pull-out rack will not accidentally slide out during the test, protecting the integrity of the TR components and testing equipment.

[0031] The introduction of warning lights enables abnormal situations to be discovered and handled in a timely manner, improving the safety and reliability of the detection process.

[0032] Strong adaptability and scalability:

[0033] The deep learning model can extract high-level abstract features from large amounts of data and is suitable for airtightness testing of TR components of different models and specifications.

[0034] The decision tree construction process can adjust feature selection and tree generation parameters according to actual needs, making the device more adaptable and extensible. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 This is a front structural schematic diagram of the test box of the present invention;

[0036] Figure 2 This is a schematic diagram of the top view of the test box of the present invention;

[0037] Figure 3 This is a schematic diagram of the structure of the pull-out rack of the present invention;

[0038] Figure 4 It is a schematic diagram of the cross-sectional structure of the test box of the present invention;

[0039] In the figure: 1. test box; 2. test cavity; 3. upper cavity; 4. lower cavity; 5. temperature adjustment cavity; 6. controller; 7. booster pump; 8. air inlet pipe; 9. gas filter valve; 10. exhaust pipe; 11. solenoid valve; 12. hot air blower; 13. cold air blower; 14. solenoid lock; 15. pull-out rack; 16. storage grid; 17. crossbeam; 18. fixing hole: 19. limit bolt; 20. limit plate; 21. pressure sensor; 22. gas detector; 23. temperature detector; 24. key slot: 25. display screen: 26. control button: 27. primary warning light; 28. intermediate warning light; 29. ​​advanced warning light; 30. ventilation pipe: 31. regulating valve; 32. fan. DETAILED DESCRIPTION

[0040] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0041] See also Figure 1-4The present invention discloses an air tightness detection device for a TR component for an S-band active phased array radar, comprising a test box 1, wherein a test chamber 2 is provided inside the test box 1, a pull-out rack 15 is slidably mounted on the test chamber 2, a storage rack 16 is arranged on the inner side of the pull-out rack 15, the test chamber 2 comprises an upper chamber 3 and a lower chamber 4, wherein the upper chamber 3 is located above the storage rack 16, and the lower chamber 4 is located below the storage rack 16, an air intake pipe 8 and an exhaust pipe 10 are arranged on the upper chamber 3 and the lower chamber 4, a gas filter valve 9 is arranged on the air intake pipe 8, an electromagnetic valve 11 is arranged on the exhaust pipe 10, a booster air pump 7 is arranged at the input end of the air intake pipe 8, a controller 6 is arranged on the top of the test box 1, a plurality of pressure sensors 21 and a gas detector 22 are arranged in the test chamber 2, and the pressure sensor 21, the gas detector 22, the booster air pump 7 and the electromagnetic valve 11 are all electrically connected to the controller 6.

[0042] The working principle of the airtightness detection device of the TR component for the S-band active phased array radar is:

[0043] Test box 1 and test chamber 2

[0044] Test box 1: A test chamber 2 is provided inside the test box 1. The test chamber 2 is divided into an upper chamber 3 and a lower chamber 4, which are separated by a pull-out frame 15 and a storage grid 16.

[0045] Pull-out rack 15: The pull-out rack 15 is slidably installed in the test chamber 2 and is used to place and take out the TR components to be tested.

[0046] Storage grid 16: The storage grid 16 is installed on the drawer frame 15 and is used to fix the TR component to be tested.

[0047] Inlet pipe 8 and exhaust pipe 10: The upper cavity 3 and the lower cavity 4 are both provided with an intake pipe 8 and an exhaust pipe 10. The intake pipe 8 is provided with a gas filter valve 9, and the exhaust pipe 10 is provided with a solenoid valve 11.

[0048] Booster air pump 7: A booster air pump 7 is installed at the input end of the air inlet pipe 8 for filling the test chamber 2 with high-pressure gas.

[0049] Controller 6: A controller 6 is installed on the top of the test box 1, and the controller 6 is electrically connected to the pressure sensor 21, the gas detector 22, the booster air pump 7 and the solenoid valve 11.

[0050] Working principle:

[0051] Preparation stage: Place the TR component to be tested on the storage grid 16 and push it into the test chamber 2 through the pull-out rack 15 .

[0052] Inflating stage: start the booster air pump 7, fill the test chamber 2 with high-pressure gas through the air inlet pipe 8, and the gas enters the test chamber 2 after being filtered by the gas filter valve 9.

[0053] Filtration stage: open the solenoid valve 11 on the exhaust pipe 10 to discharge the gas in the test chamber 2 to complete a detection cycle. The gas is filtered once through the gas filter valve 9 on the intake pipe 8, and the composition of the gas in the test chamber 2 is detected by the gas detector 22.

[0054] Pressure stabilization stage: close the solenoid valve 11 on the exhaust pipe 10, input air pressure steadily into the test chamber 2 through the booster air pump 7, keep the air pressure in the test chamber 2 constant for a period of time, and monitor the air pressure change in real time through the pressure sensor 21.

[0055] Accuracy of detection: Through the design of the upper cavity 3 and the lower cavity 4, the air pressure in the test cavity 2 is evenly distributed outside the TR component.

[0056] Efficient operation: The design of the pull-out rack 15 makes it easier and quicker to put in and take out the TR components to be tested.

[0057] Temperature Control System

[0058] Temperature regulating chamber 5 : The temperature regulating chamber 5 surrounds the outside of the test chamber 2 and is used to control the temperature environment in the test chamber 2 .

[0059] Hot air blower 12 and cold air blower 13 : A hot air blower 12 is installed on one side of the test box 1 , and a cold air blower 13 is installed on the other side, both of which are connected to the temperature adjustment chamber 5 .

[0060] Temperature detector 23: A temperature detector 23 is installed in the test chamber 2 for monitoring the temperature change in the test chamber 2 in real time.

[0061] Ventilation pipe 30 and regulating valve 31: A ventilation pipe 30 is provided in the temperature regulating chamber 5, and a regulating valve 31 is arranged on the ventilation pipe 30, and the regulating valve 31 is electrically connected to the controller 6.

[0062] Fan 32: A plurality of fans 32 are installed in the temperature regulating chamber 5, and the fans 32 are electrically connected to the controller 6.

[0063] Working principle:

[0064] Heating control: Start the hot air blower 12 to deliver hot air to the test chamber 2 through the temperature regulating chamber 5 to heat the gas in the test chamber 2.

[0065] Cooling control: Start the cooling fan 13 to deliver cold air to the test chamber 2 through the temperature adjustment chamber 5 to cool the gas in the test chamber 2.

[0066] Temperature monitoring: The temperature detector 23 monitors the temperature changes in the test chamber 2 in real time and transmits the data to the controller 6 .

[0067] Gas flow: The fan 32 promotes gas flow in the temperature regulating chamber 5 to ensure uniform temperature distribution in the test chamber 2.

[0068] Exhaust control: The opening and closing of the ventilation pipe 30 is controlled by the regulating valve 31 to adjust the air pressure in the test chamber 2.

[0069] Uniform temperature: The use of the fan 32 ensures uniform temperature distribution in the test chamber 2, avoiding local over-high or over-low temperatures.

[0070] Fast response: The fast response capability of the hot air blower 12 and the cold air blower 13 enables the temperature in the test chamber 2 to quickly reach a preset value.

[0071] Data acquisition and processing system

[0072] Data acquisition card: A data acquisition card is configured on the main chip of the controller 6 for collecting data from the pressure sensor 21, the gas detector 22 and the temperature sensor.

[0073] AI deep learning tree system: The main chip of the controller 6 is equipped with an AI deep learning tree system, which is used to analyze the pressure changes in the test chamber 2 and predict the air tightness of the TR component.

[0074] Report generation: Generate an airtightness test report based on the analysis results.

[0075] High precision: The introduction of the AI ​​deep learning tree system significantly improves the accuracy and efficiency of detection.

[0076] AI Deep Learning Tree System is a machine learning method that learns complex features of data through a multi-layer neural network model. Deep learning models can extract high-level abstract features from large amounts of data and are suitable for tasks such as image recognition, natural language processing, and speech recognition. They make decisions through a tree structure. Each internal node represents a test on an attribute, each branch represents a test result, and each leaf node represents a category label. Decision trees are easy to understand and interpret and are suitable for classification and regression tasks.

[0077] The AI ​​deep learning tree system combines the advantages of deep learning and decision trees. The specific operation steps are as follows:

[0078] Data collection

[0079] Sensor data: real-time data is collected from the pressure sensor 21, gas detector 22 and temperature sensor in the test chamber 2.

[0080] Historical data: Collect historical data accumulated during previous inspections, including TR component data with known qualified and unqualified airtightness.

[0081] Data preprocessing

[0082] Cleaning: Remove noise and outliers from data to ensure data quality.

[0083] Normalization: Normalize the data to the same scale to facilitate model training.

[0084] Feature extraction: Extract useful features from raw data, such as pressure change rate, temperature change rate, etc.

[0085] Deep learning model training

[0086] Model selection: Choose a suitable deep learning model, such as convolutional neural network (CNN), recurrent neural network (RNN), or long short-term memory network (LSTM).

[0087] Training data: Use the preprocessed data to train the deep learning model, which learns the complex features of the data through a multi-layer neural network.

[0088] Loss Function: Define an appropriate loss function, such as Mean Squared Error (MSE) or Cross Entropy Loss, to evaluate the prediction error of the model.

[0089] Optimization algorithm: Use optimization algorithms such as gradient descent to adjust model parameters and minimize the loss function.

[0090] Decision tree construction

[0091] Feature selection: Select the most important features from the features extracted by the deep learning model to build a decision tree.

[0092] Tree generation: Use a recursive partitioning method to divide the data into different subsets according to the selected features until the stopping condition is met (such as reaching the maximum depth or the subset purity reaches a threshold).

[0093] Pruning: Prune the generated decision tree to remove unnecessary branches and improve the generalization ability of the model.

[0094] Model Fusion

[0095] Ensemble learning: Fusion the prediction results of deep learning models and decision tree models to improve the accuracy and robustness of the overall prediction.

[0096] Weight allocation: Assign weights to each model based on its performance, taking into account the prediction results of each model.

[0097] Prediction and evaluation

[0098] Real-time prediction: Input new test data into the fused model to make real-time predictions to determine the air tightness of the TR component.

[0099] Evaluation metrics: Use metrics such as accuracy, recall, and F1 score to evaluate the performance of the model.

[0100] The chip of the controller 6 in the present invention can be any one of a microcontroller (MCU), a digital signal processor (DSP), a field programmable gate array (FPGA) or a complex programmable logic device (CPLD);

[0101] The data acquisition card in the present invention can be a data acquisition card based on interfaces such as PCI, PCIe, USB, etc.

[0102] The electrical components of the present invention can be used by connecting to the mains.

[0103] Display and control system

[0104] Control buttons 26 and display screen 25: The controller 6 is provided with control buttons 26 and display screen 25. The display screen 25 is hinged to the controller 6 via a damping shaft, and the control buttons 26 are installed in the hinge groove.

[0105] Warning lights: The front side of the controller 6 is provided with three levels of warning lights, including a primary warning light 27, a mid-level warning light 28 and a high-level warning light 29, and each level of warning lights is provided with three grids.

[0106] Operation control: The operation of the detection device is manually controlled by operating the button 26, and the display screen 25 displays parameters such as air pressure and temperature during the test.

[0107] Alarm prompt: According to the detection result, the controller 6 controls the corresponding warning light to light up to prompt the operator of the detection result.

[0108] User-friendly: The touch screen and graphical interface design make the operation more intuitive and convenient.

[0109] Multi-level alarm: The design of multi-level warning lights can issue different alarms according to the degree of airtightness failure, which improves the accuracy of the alarm.

[0110] Other preferred technical solutions

[0111] Electromagnetic lock 14 : The test chamber 2 and the drawer frame 15 are magnetically attracted by the electromagnetic lock 14 , and the electromagnetic lock 14 is electrically connected to the controller 6 .

[0112] Limiting bolts 19 and limiting plates 20: The storage grid 16 is provided with a plurality of beams 17, and the beams 17 are provided with a plurality of fixing holes 18. The fixing holes 18 are installed with limiting bolts 19 through threaded structures, and limiting plates 20 are installed on the limiting bolts 19, and the limiting plates 20 are wrapped with rubber pads.

[0113] Locking mechanism: The electromagnetic lock 14 locks the pull-out frame 15 during the test process to maintain the sealing of the test chamber 2 and ensure the stability of the test environment.

[0114] Fixing mechanism: The limit bolt 19 and the limit plate 20 are used to fix the TR component to be tested to ensure that it does not move during the test.

[0115] The present invention provides an air tightness detection device for TR components of S-band active phased array radar integrated with AI deep learning tree, which realizes efficient and reliable air tightness detection by integrating air pressure control system, temperature control system, data acquisition and processing system, display and control system and alarm system. In particular, the introduction of AI deep learning tree system significantly improves the accuracy and efficiency of detection, and the addition of hot air blower 12 system ensures uniform temperature distribution in test chamber 2, which is suitable for large-scale production and rapid detection, and provides strong guarantee for high-quality production of S-band active phased array radar.

[0116] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An airtightness detection device for a TR component for an S-band active phased array radar, characterized in that: The invention comprises a test box (1), wherein a test chamber (2) is provided inside the test box (1), a pull-out frame (15) is slidably mounted on the test chamber (2), a storage rack (16) is provided inside the pull-out frame (15), the test chamber (2) comprises an upper chamber (3) and a lower chamber (4), wherein the upper chamber (3) is located above the storage rack (16), and the lower chamber (4) is located below the storage rack (16), and an air inlet pipe (8) and an air outlet pipe (16) are provided on the upper chamber (3) and the lower chamber (4). 0), the air inlet pipe (8) is provided with a gas filter valve (9), the exhaust pipe (10) is provided with a solenoid valve (11), the input end of the air inlet pipe (8) is provided with a booster air pump (7), the top of the test box (1) is provided with a controller (6), a plurality of pressure sensors (21) and a gas detector (22) are provided in the test chamber (2), and the pressure sensor (21), the gas detector (22), the booster air pump (7) and the solenoid valve (11) are all electrically connected to the controller (6).

2. The air tightness detection device for a TR assembly for an S-band active phased array radar according to claim 1, characterized in that: The test box (1) is provided with a temperature regulating chamber (5), and the temperature regulating chamber (5) is located outside the test chamber (2), and the temperature regulating chamber (5) surrounds the outside of the test chamber (2). A hot air blower (12) is installed on one side of the test box (1), and a cold air blower (13) is installed on the other side of the test box (1), and the hot air blower (12) and the cold air blower (13) are both connected to the temperature regulating chamber (5). A temperature detector (23) is installed in the test chamber (2), and the cold air blower (13), the hot air blower (12) and the temperature detector (23) are all electrically connected to a controller (6). An exhaust pipe (10) is provided in the temperature regulating chamber (5), and a regulating valve (31) is arranged on the exhaust pipe (10), and the regulating valve (31) is electrically connected to the controller (6).

3. The airtightness detection device for a TR assembly for an S-band active phased array radar according to claim 2, characterized in that: A plurality of fans (32) are installed in the temperature regulating chamber (5), and the fans (32) are electrically connected to the controller (6).

4. The air tightness detection device for a TR assembly for an S-band active phased array radar according to claim 3, characterized in that: A data acquisition card and an AI deep learning tree system are configured on the main chip of the controller (6); the data acquisition card is used to collect data from a pressure sensor (21), a gas detector (22) and a temperature sensor; and the AI ​​deep learning tree system is used to analyze pressure changes in the test chamber (2) to predict the air tightness of the TR component.

5. The air tightness detection device for a TR assembly for an S-band active phased array radar according to claim 4, characterized in that: The controller (6) is provided with a control button (26) and a display screen (25), and the display screen (25) is hinged to the controller (6) via a damping shaft, a button slot (24) is provided on the top of the controller (6), the control button (26) is installed in the hinge slot, and the display screen (25) and the control button (26) are electrically connected to a main chip of the controller (6).

6. The air tightness detection device for a TR assembly for an S-band active phased array radar according to claim 5, characterized in that: A warning light is provided on the front side of the controller (6), and the warning light is electrically connected to the main chip of the controller (6). The warning light is provided with three levels, including a primary warning light (27), a middle warning light (28), and a high-level warning light (29), and each level of the warning light is provided with three grids.

7. The airtightness detection device for a TR assembly for an S-band active phased array radar according to claim 6, characterized in that: The test chamber (2) and the drawer frame (15) are magnetically attracted via an electromagnetic lock (14), and the electromagnetic lock (14) is electrically connected to a controller (6).

8. The airtightness detection device for a TR assembly for an S-band active phased array radar according to claim 7, characterized in that: The storage grid (16) is provided with a plurality of crossbeams (17), the crossbeams (17) are provided with a plurality of fixing holes (18), the fixing holes (18) are installed with limit bolts (19) through a threaded structure, a limit plate (20) is installed on the limit bolts (19), and the limit plate (20) is wrapped with a rubber pad.

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