Health management system for missile launcher

Abstract

The invention provides a health management system for a missile launching device. The system comprises a data acquisition module which is composed of a plurality of sensors capable of monitoring specific parameters of the missile launching device; the data storage and analysis module is used for receiving, storing and exporting the data of the sensor module and preliminarily analyzing the condition of the transmitting device based on the data; and the ground analysis platform downloads the data from the data storage and analysis module and imports the data into the ground data analysis platform for data collection and comprehensive analysis. The health management system suitable for the missile launcher is established to collect, process and analyze the health condition of the launcher and assist in realizing reasonable allocation of maintenance resources of the launcher.

Description

Technical Field

[0001] The present invention relates to the design field of a health management system for a missile launcher, and in particular, to a health management system for a missile launcher. Background Art

[0002] Health management technology is a new solution for managing health status that is proposed by comprehensively utilizing the latest research results of modern information technology and artificial intelligence technology. It focuses on the monitoring, prediction and management of the health status of complex projects.

[0003] At present, there is insufficient research on the health management of missile launchers. When a launcher fails, the specific cause of the failure cannot be determined, and the maintenance plan is improperly arranged because the health of the launcher cannot be determined. It is urgent to design a health management system to monitor and manage the missile launcher in real time. With the use of the system, the performance data related to the launcher can be continuously collected. The performance data reflects the performance of the launcher at the current moment, which can help users grasp the key data of the performance of the launcher. The performance of the launcher will affect the initial posture of the missile when it is launched, and the initial posture of the missile affects the success of the launch mission. Therefore, the health management of the missile launcher can not only ensure the smooth execution of the launch mission, but also enhance the depth of understanding of the launcher by the launcher designers, thereby optimizing the design process and changing the current maintenance method of the launcher to determine the maintenance time according to the use time, reducing the maintenance cost. In summary, this technical application has important strategic and practical significance, and provides an effective means to improve the performance and reliability of missile launchers. Summary of the invention

[0004] The present invention aims to solve the problems of immature research on the health management system of missile launchers in China and insufficient data on missile launchers. A system based on distributed collection of missile launcher data and centralized data display and analysis is proposed to realize real-time collection of launcher data, assist maintenance personnel in analysis and diagnosis and make maintenance decisions, and thus realize the rational allocation of launcher maintenance resources.

[0005] The invention provides a health management system for missile launchers, which includes a data acquisition module, a data storage module and a ground analysis platform;

[0006] Data acquisition module: collects necessary transmitter performance data and provides data support for the health management system;

[0007] Data storage module: stores the data collected in the data acquisition module and supports the export of sensor data to assist maintenance personnel in making maintenance decisions;

[0008] Ground analysis platform: collects all performance data in the data storage module, visualizes the data in charts, generates health analysis results based on the data, and uses the data to train the health analysis neural network to improve the accuracy of the health analysis results.

[0009] The data acquisition module includes multiple data acquisition components, one of which is arranged on each transmitting device, and the component can receive the transmission control signal from the upper level. The data acquisition component includes a vibration sensor, a strain gauge, a temperature sensor and a pressure sensor, and the sensor in the data acquisition component is connected to the data storage module using a data cable;

[0010] Launch control signal: the launch command received by the missile launcher;

[0011] Vibration sensor: used to collect vibration signals from the transmitting device;

[0012] Strain gauge: used to collect strain signals from the transmitter;

[0013] Temperature sensor: used to collect temperature signals in the pressure tank of the missile launcher, and is built-in when the pressure tank leaves the factory;

[0014] Pressure sensor: used to collect pressure signals in the pressure tank of the missile launcher, and is built-in when the pressure tank leaves the factory;

[0015] The deployment of the sensors is to determine the number and location of the sensors based on the structural finite element analysis. The launch control signal is given by the aircraft to the launch control signal box of the missile launcher; the missile launcher is subjected to finite element analysis to find the position with the maximum vibration value under the vibration mode to install the vibration sensor and under strain analysis, the position with the maximum strain value to install the strain gauge.

[0016] The data storage module includes a plurality of data storage devices, and each transmitting device is provided with a data storage device.

[0017] The data storage device has the function of storing and exporting single / multiple performance data of the transmitter, and is equipped with a data denoising algorithm, a lightweight health analysis neural network model and an RFID tag;

[0018] Data denoising algorithm: reduces data disturbances introduced by other uncontrollable factors in single performance data;

[0019] Lightweight health analysis neural network model: Make preliminary health analysis results based on the collected sensor data;

[0020] RFID tag: The data in the tag can be rewritten through the RFID reader / writer to help maintenance personnel quickly record relevant information.

[0021] The ground analysis platform includes a high-performance computer that can obtain the historical performance data of the launch device from the data storage module through a gigabit network port, and is installed with data visualization and processing software.

[0022] The data visualization and processing software can display all the data in charts to help maintenance personnel determine the health status of the launch device; by using all the performance data to train the health analysis neural network, the neural network model is improved to improve the accuracy of the health analysis results.

[0023] The present invention is applicable to an airborne catapult-type missile launcher, and the advantages and beneficial effects of the present invention are as follows: the health management system for a missile launcher proposed by the present invention solves the problems of online monitoring acquisition and offline storage of performance data of the missile launcher; it realizes monitoring and health analysis of the current working state and performance change trend of the missile launcher, and provides powerful data and technical support for the health management of the missile launcher, thereby achieving targeted maintenance, timely and efficient repair, and having better economic and military benefits. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 It is a schematic diagram of the architecture of the health management system for missile launchers of the present invention.

[0025] Figure 2 This is a schematic diagram of the layout of each module of the health management system of the present invention.

[0026] Figure 3 It is a structural schematic diagram of the data storage device of the present invention.

[0027] Figure 4 It is a schematic diagram of the data visualization and processing software interface carried by the ground analysis platform of the present invention.

[0028] Figure 5 This is a schematic diagram of the internal logic of the data visualization and processing software carried by the ground analysis platform of the present invention.

[0029] Figure 6 It is a schematic diagram of the visualization process in the data visualization and processing software of the present invention.

[0030] Figure 7 A schematic diagram of a life prediction neural network update in the data visualization and processing software of the present invention. DETAILED DESCRIPTION

[0031] The present invention is further described in detail below in conjunction with specific implementations and drawings. The present invention provides a health management system architecture for missile launchers. Figure 1 As shown, the architecture includes three levels.

[0032] The system consists of multiple groups of sensor groups and data storage devices installed on the missile launcher. The following is an explanation of one group of sensor groups and data storage devices.

[0033] Vibration modal analysis and strain stress analysis are performed on the finite element model of the airborne catapult missile launcher to find the position with the largest vibration value and the position with the largest strain value. Vibration sensors are fixed at the corresponding positions using threaded links and strain gauges are fixed using adhesives. Temperature sensors and pressure sensors are installed in the pressure tank of the missile launcher when it leaves the factory. Data storage equipment is hoisted at the top opening of the missile launcher to facilitate equipment maintenance and data export. Sensor and equipment installation locations are as follows: Figure 2 shown.

[0034] The sensors of the sensor assembly are powered by data storage devices, and the XC8224RBB power chip and XC9883QNB power chip are used to reduce the aircraft power supply voltage for powering the storage device and each sensor. The vibration sensor will generate a data stream of voltage changing over time; the strain gauge will collect a data stream of voltage value changing over time; the temperature sensor will generate a data stream of voltage changing over time; and the pressure sensor will generate a data stream of voltage changing over time.

[0035] The sensors in the sensor group are connected to the data storage device through signal lines (the internal design of the data storage device is as follows Figure 3 As shown in the figure, the data storage device uses JFMQL20S control chip and FAD7606 acquisition chip to convert the sensor data from analog signal to digital signal and from voltage value to corresponding data. The voltage value v of the vibration sensor is converted to acceleration value a through the coefficient k of the acceleration value corresponding to each volt of the vibration sensor voltage value. The conversion formula is: a=kv, thereby obtaining the data stream of acceleration changing with time; the voltage value v of the strain gauge is converted through the strain conversion formula: Where v0 is the reference voltage, μ is the Poisson's ratio, and γ is the sensitivity coefficient of the strain gauge, thereby obtaining the data stream of strain changing with time; the temperature sensor voltage value v is converted to temperature c by the coefficient k of the temperature sensor voltage value corresponding to the temperature value per volt, and the conversion formula is: c = kv, thereby obtaining the data stream of temperature changing with time; the pressure sensor voltage value v is converted to pressure value p by the coefficient k of the pressure sensor voltage value corresponding to the pressure value per volt, and the conversion formula is: p = kv, thereby obtaining the data stream of pressure changing with time. After the above conversion, the JFMQL20S control chip stores the digital signal in the SMFC32GBMP storage chip.

[0036] The master control JFMQL20S reads the control information of the control box through the RS485 bus and stores it in the storage unit; the sensor information collected by the master control JFMQL20S is stored in the storage module, and the ground station reads back the stored information through the Gigabit Ethernet bus, analyzes the data through the ground health software, and visualizes the analyzed data. RFID tags are used to quickly record relevant simple but important information.

[0037] The ground analysis platform is mainly composed of a high-performance computing platform equipped with data visualization and processing software. The interface of the data visualization and processing software is as follows: Figure 4 As shown, the internal logic of the software is as follows Figure 5 As shown. The software collects performance data from the data storage device through the Gigabit Ethernet port and provides a visualization window for vibration signals, strain signals, temperature signals and pressure signals; the software uses the latest local health analysis neural network model to give a complete health analysis result for the performance data obtained from the data storage device. In addition, the software provides a neural network update interface for performance data.

[0038] The visualization algorithm is as follows Figure 6 As shown, the data visualization and processing software uses single performance data for display. For strain signals, the strain signal change trend graph over time is displayed; for vibration signals, Fourier transform and wavelet transform are used to extract frequency domain information and time domain information in the vibration signal respectively; for temperature signals, the temperature signal change trend graph over time is displayed; for pressure signals, the pressure signal change trend graph over time is displayed; the graphical display assists maintenance personnel in making maintenance decisions.

[0039] The neural network update process is as follows: Figure 7 As shown, by continuously acquiring various sensor data from the data storage module, the characteristics of the latest performance data such as vibration amplitude, strain amplitude, etc. are extracted as the input of the neural network model to update the neural network model. With the use of the transmitting device, the data collected by the sensor continues to increase, and the neural network parameters are continuously updated to help the health analysis neural network model improve its health analysis accuracy.

Claims

1. A health management system for missile launchers, characterized in that: The system includes a data acquisition module, a data storage and analysis module and a ground analysis platform; Data acquisition module: collects necessary transmitter performance data and provides data support for the health management system; Data storage and analysis module: stores the data collected in the data acquisition module, makes preliminary health analysis and supports the export of sensor data to assist maintenance personnel in making maintenance decisions; Ground analysis platform: collects all performance data in the data storage and analysis module, visualizes the data in charts, generates health analysis results based on the data, and uses the data to train the health analysis neural network to improve the accuracy of the health analysis results.

2. A health management system for missile launchers according to claim 1, characterized in that: The data acquisition module includes a plurality of data acquisition components, and each transmitting device is provided with a data acquisition component.

3. A health management system for missile launchers according to claim 2, characterized in that: The data acquisition components include vibration sensors, strain gauges, temperature sensors and pressure sensors: Vibration sensor: used to collect vibration signals from the transmitting device; Strain gauge: used to collect strain signals from the transmitter; Temperature sensor: used to collect temperature signals in the pressure tank of the missile launcher; Pressure sensor: used to collect pressure signals in the pressure tank of the missile launcher; The sensor deployment situation is to determine the installation quantity and location of the sensors based on structural finite element analysis.

4. A health management system for missile launchers according to claim 1, characterized in that: The data storage and analysis module includes a plurality of data storage and analysis devices, and each transmitting device is provided with a data storage and analysis device.

5. A health management system for missile launchers according to claim 4, characterized in that: The data storage and analysis device has the function of storing and exporting single / multiple performance data of the transmitter, and is equipped with a data denoising algorithm, a lightweight health analysis neural network model and an RFID tag; Data denoising algorithm: reduces data disturbances introduced by other uncontrollable factors in single performance data; Lightweight health analysis neural network model: Make preliminary health analysis results based on the collected sensor data; RFID tag: The data in the tag can be rewritten through the RFID reader / writer to help maintenance personnel quickly record relevant information.

6. A health management system for missile launchers according to claim 1, characterized in that: The ground analysis platform includes a high performance computer; The high-performance computer can obtain the historical performance data of the launch device from the data storage and analysis module through the Gigabit network port, and is installed with data visualization and processing software.

7. A health management system for missile launchers according to claim 6, characterized in that: The data visualization and processing software can display all the data in charts to help maintenance personnel determine the health status of the launch device; by using all the performance data to train the health analysis neural network, the neural network model is improved to improve the accuracy of the health analysis results.

8. A health management system for missile launchers according to claim 1 or 3, characterized in that: The sensors of the sensor assembly are powered by data storage devices, and the XC8224RBB power chip and XC9883QNB power chip are used to step down the aircraft power supply voltage for powering the storage device and each sensor.

9. A health management system for missile launchers according to claim 8, characterized in that: The sensor is connected to the data storage device through a signal line. The data storage device uses the JFMQL20S control chip and the FAD7606 acquisition chip to convert the sensor data from analog signals to digital signals and from voltage values ​​to corresponding data.

10. A health management system for missile launchers according to claim 9, characterized in that: The master control JFMQL20S reads the control information through the RS485 bus and stores it in the storage unit; After the sensor information collected by the master control JFMQL20S is stored in the storage module, the ground station reads back the stored information through the Gigabit Ethernet bus, analyzes the data through the ground health software, and visualizes the analyzed data; and quickly records relevant simple but important information through RFID tags.

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