Satellite-borne computer self-adaptive detection system and method

Abstract

The invention discloses an adaptive detection system and method for a spaceborne computer, relates to the technical field of space flight and aviation, and adopts a nonlinear state space model to establish a state transition equation and an output equation so as to realize accurate modeling and real-time detection of the spaceborne computer. The adaptive detection middleware integrates heartbeat detection, power supply power-on detection, multi-protocol communication, RS422, CAN, TCP and the like, supports remote interaction and intelligent task scheduling, and improves the automation degree of detection; compared with a traditional method, data interaction is optimized through a multi-protocol self-adaptive processing mechanism, the detection efficiency is improved, the system maintenance cost is reduced, the data interaction real-time performance is improved, the problems that detection equipment is complex, data interaction is not flexible, detection precision is low and the like are solved, the integration level, the intelligence and the remote control capability of the detection system are improved, and the detection efficiency is improved. The method is suitable for the fields of spacecraft ground testing, spaceborne computer research and development, testing and maintenance and the like, and has important engineering practical value.

Description

Technical Field

[0001] The present invention relates to the field of aerospace technology, and particularly to an on-board computer adaptive detection system and method. Background Art

[0002] With the rapid development of the commercial aerospace field, the complexity of satellite systems has been continuously increasing. As the core control unit of a satellite, an on-board computer is responsible for key tasks such as satellite attitude determination, orbit determination, navigation, and remote sensing. The task requirements of modern on-board computers are growing day by day, requiring processing of larger amounts of data and support for multiple communication protocols, which places higher demands on the detection technology of on-board computers.

[0003] Currently, traditional on-board computer detection methods rely on multiple independent hardware modules, each module corresponding to a specific communication protocol, such as an Ethernet adapter, a CAN bus adapter, and an RS422 adapter. The device detection of such a decentralized detection mode is complex, and the system setup is cumbersome. The traditional detection system requires the use of multiple independent adapter devices, and each device requires separate configuration and operation, resulting in a complex system setup process and high device maintenance costs; due to the dispersion of detection devices, operators need to frequently switch between different software interfaces, and the detection process is lengthy, unable to meet the needs of satellite mass production and rapid iteration; in addition, most existing detection systems only support local operations, lacking remote monitoring and data analysis capabilities, and unable to meet the requirements of modern aerospace missions for remote detection and intelligent management.

[0004] To meet the efficient detection requirements of on-board computers, some existing technologies use distributed independent modules for detection, but the device integration degree is low, requiring different types of adapters and protocol conversion devices, and the communication protocols between different devices are not unified, resulting in a long setup time for the test environment and high maintenance costs. Moreover, the traditional detection system relies on manual operation, requiring manual switching of detection tools and execution of multiple independent software modules, and it is difficult to meet the multi-mode rapid detection requirements of satellite systems; therefore, there is an urgent need for an on-board computer adaptive detection solution to solve such problems. Summary of the Invention

[0005] In view of the above existing problems, the present invention is proposed.

[0006] The present invention provides an on-board computer adaptive detection system and method to solve the problems of complex equipment, inconvenient operation, inflexible data interaction, etc. in the prior art.

[0007] To solve the above technical problems, the present invention provides the following technical solutions:

[0008] In the first aspect, an embodiment of the present invention provides an on-board computer adaptive detection system, which includes,

[0009] The automated interaction interface provides user operation entrances for managing the on-board computer to perform configuration, collect telemetry data, and issue remote control commands.

[0010] The adaptive detection middleware is used to connect the automated interaction interface and the on-board computer. The adaptive detection middleware includes: a heartbeat detection module, a power-on detection module, and a multi-protocol communication module.

[0011] The heartbeat detection module is used to monitor the running state of the on-board computer in real time.

[0012] The power-on detection module is used to detect the power state of the on-board computer.

[0013] The multi-protocol communication module includes RS422, CAN, and TCP communication interfaces for data interaction with the on-board computer.

[0014] The non-linear state space model is used to describe the state characteristics of the on-board computer and optimize the detection process.

[0015] The object under test, i.e., the on-board computer, is connected to the adaptive detection middleware through a multi-protocol communication method.

[0016] As a preferred solution of the on-board computer adaptive detection system described in the present invention, wherein: the automated interaction interface runs in a web browser, and users can remotely load this interface without installing additional software.

[0017] As a preferred solution of the on-board computer adaptive detection system described in the present invention, wherein: the adaptive detection middleware runs based on the Linux operating system and uses an SOC chip for data processing.

[0018] As a preferred solution of the on-board computer adaptive detection system described in the present invention, wherein: the heartbeat detection module is based on the non-linear state space model to perform real-time analysis of the running state of the on-board computer and supports abnormal state alarm.

[0019] As a preferred solution of the on-board computer adaptive detection system described in the present invention, wherein: the power-on detection module supports monitoring the power supply state of the on-board computer and triggers an automatic recovery mechanism when an abnormality is detected.

[0020] As a preferred solution of the on-board computer adaptive detection system described in the present invention, wherein: the multi-protocol communication module includes:

[0021] The RS422 communication interface is used for high-speed data transmission.

[0022] The CAN communication interface is used for low-latency and stable data exchange.

[0023] TCP communication interface for remote data interaction.

[0024] As a preferred solution of the on-board computer adaptive detection system described in the present invention, wherein: the non-linear state space model includes:

[0025] State transition equation for describing the dynamic changes of each functional module of the on-board computer, expressed as:

[0026] X k+1 = f(x k , u k , p),

[0027] Output equation for parsing the detection data and providing state feedback, expressed as:

[0028] y k = h(x k , u k , p),

[0029] Wherein, x k is the system state vector, representing the state of the on-board computer at time k, including the X GPIO,k state vector, X RS422,k state vector, X CAN,k state vector, X TCP,k state vector, X frontend,k and the state vectors of other extensible modules, u k is the system input vector, including control instructions from the browser front-end and input data of communication protocols, including u RS422,k communication input, u CAN,k communication input, u TCP,k communication input, u frontend,k front-end configuration instructions and inputs of other extensible modules, p is the system parameter vector, including p GPIO heartbeat parameter, p RS422 RS422 communication parameter, p CAN CAN communication parameter, p TCP TCP communication parameter and system parameters of other extensible modules, f(*) represents the non-linear state transition function, h(*) represents the non-linear output function, y k is the system output vector, including heartbeat status, power detection status and communication data, X k+1 is the predicted state of the on-board computer at the next moment.

[0030] In a second aspect, the present invention provides an on-board computer adaptive detection method, including,

[0031] Step S1, configure the communication protocol and detection parameters of the on-board computer through the automated interaction interface, and initialize the detection system;

[0032] Step S2, the adaptive detection middleware establishes an RS422, CAN or TCP communication connection with the on-board computer to establish a communication connection;

[0033] Step S3, monitor the heartbeat signal, power status and communication data through the non-linear state space model for adaptive detection;

[0034] Step S4, the automated interaction interface receives the detection data and performs visual display;

[0035] As a preferred solution of the on-board computer adaptive detection method described in the present invention, wherein: when performing adaptive detection, the operating state of the on-board computer is predicted based on the non-linear state space model, and the detection strategy is dynamically adjusted.

[0036] As a preferred solution of the on-board computer adaptive detection method described in the present invention, wherein: the detection system can automatically switch the communication protocol during the detection process to adapt to different types of on-board computer interfaces.

[0037] The beneficial effects of the present invention are as follows: The present invention provides an adaptive detection system for on-board computers. By integrating a non-linear state space model, a multi-protocol adaptive processing mechanism and an automated interaction interface, significant technical advantages have been achieved in improving detection efficiency, enhancing system reliability and optimizing data interaction. Compared with traditional detection methods:

[0038] In the present invention, a three-level architecture design of an automated interaction interface - adaptive detection middleware - the on-board computer under test is adopted, effectively reducing the number of independent hardware modules in the traditional detection system and avoiding protocol compatibility problems between different devices; through modular integrated design, the construction of the detection system is made simpler and more efficient.

[0039] In the present invention, an automated interaction interface is adopted. Users can directly configure, telemeter and remotely control the on-board computer through remote access, without manually switching multiple software tools, reducing cumbersome operation steps. The adaptive detection middleware supports parallel detection, and multiple target boards can simultaneously perform status monitoring and data acquisition, improving the overall throughput of the detection system.

[0040] In the present invention, a multi-protocol adaptive processing mechanism is adopted to integrate heterogeneous communication protocols such as RS422, CAN, and TCP into a unified mathematical model framework, enabling the system to dynamically adapt to different communication requirements and improving the compatibility of data interaction.

[0041] In the present invention, through the non-linear state space model, the system can establish a state transition equation and an output equation to achieve accurate modeling of each module of the on-board computer; by adopting the dynamic feature capture technology, it can more accurately detect the time-varying characteristics of parameters such as heartbeat signals and power supply states, reducing the false alarm rate and misjudgment rate.

[0042] In the present invention, remote detection is supported through the TCP protocol, enabling operators to monitor equipment across regions and meeting the requirements for remote maintenance and debugging of the on-board computer; by adopting an intelligent task scheduling mechanism, the system can automatically adjust detection parameters according to the operating mode of the on-board computer, making the detection process more flexible and efficient, and enhancing the adaptability and scalability of the overall detection system. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0044] Figure 1 It is a schematic operation diagram of the adaptive detection device of the present invention.

[0045] Figure 2 It is a schematic diagram of the detection system architecture of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0046] To make the above objects, features, and advantages of the present invention more obvious and understandable, the following will provide a detailed description of the specific embodiments of the present invention in conjunction with the drawings of the specification.

[0047] Many specific details are set forth in the following description to facilitate a thorough understanding of the present invention. However, the present invention can also be implemented in other ways different from those described herein. Those skilled in the art can make similar extensions without departing from the connotation of the present invention. Therefore, the present invention is not limited by the specific embodiments disclosed below.

[0048] Secondly, the so-called "one embodiment" or "embodiment" herein refers to a specific feature, structure, or characteristic that can be included in at least one implementation manner of the present invention. The appearances of "in one embodiment" in different places in this specification do not all refer to the same embodiment, nor are they separate or alternative embodiments that exclude other embodiments.

[0049] The present invention is an adaptive detection device for an on-board computer, which realizes remote control of the on-board computer, accurate sending of detection commands, and real-time presentation of detection results based on the combination of a non-linear state space model through the efficient integration of hardware and software.

[0050] The present invention provides the following technical solution: A spaceborne computer adaptive detection system, which includes,

[0051] An automated interaction interface, which provides a user operation entry for managing the spaceborne computer to configure, collect telemetry data, and issue remote control commands;

[0052] An adaptive detection middleware for connecting the automated interaction interface and the spaceborne computer. The adaptive detection middleware includes: a heartbeat detection module, a power-on detection module, and a multi-protocol communication module;

[0053] The heartbeat detection module is used to monitor the running state of the spaceborne computer in real time,

[0054] The power-on detection module is used to detect the power state of the spaceborne computer,

[0055] The multi-protocol communication module includes RS422, CAN, and TCP communication interfaces for data interaction with the spaceborne computer;

[0056] A non-linear state space model for describing the state characteristics of the spaceborne computer and optimizing the detection process;

[0057] The object under test, that is, the spaceborne computer, is connected to the adaptive detection middleware through a multi-protocol communication method.

[0058] The automated interaction interface runs in a web browser, and users can remotely load this interface without installing additional software.

[0059] The adaptive detection middleware runs based on the Linux operating system and uses an SOC chip for data processing.

[0060] Based on the non-linear state space model, the heartbeat detection module performs real-time analysis of the running state of the spaceborne computer and supports abnormal state alarm.

[0061] The power-on detection module supports monitoring the power supply state of the spaceborne computer and triggers an automatic recovery mechanism when an abnormality is detected.

[0062] The multi-protocol communication module includes:

[0063] The RS422 communication interface for high-speed data transmission;

[0064] The CAN communication interface for low-latency and stable data exchange;

[0065] The TCP communication interface for remote data interaction.

[0066] The non-linear state space model includes:

[0067] The state transition equation, which is used to describe the dynamic changes of each functional module of the on-board computer, is expressed as:

[0068] X k+1 = f(x k , u k , p),

[0069] The output equation, which is used to analyze the detection data and provide state feedback, is expressed as:

[0070] y k = h(x k , u k , p),

[0071] Among them, x k is the system state vector, representing the state of the on-board computer at time k, including the X GPIO,k state vector, X RS422,k state vector, X CAN,k state vector, X TCP,k state vector, X frontend,k and the state vectors of other extensible modules, u k is the system input vector, including control instructions from the browser front-end and input data of communication protocols, including u RS422,k communication input, u CAN,k communication input, u TCP,k communication input, u frontend,k front-end configuration instructions and inputs of other extensible modules, p is the system parameter vector, including p GPIO heartbeat parameter, p RS422 RS422 communication parameter, p CAN CAN communication parameter, p TCP TCP communication parameter and system parameters of other extensible modules, f(*) represents the non-linear state transition function, h(*) represents the non-linear output function, y k is the system output vector, including heartbeat status, power detection status and communication data, X k+1 is the predicted state of the on-board computer at the next moment.

[0072] The present invention also provides an on-board computer adaptive detection method, including,

[0073] Step S1, configuring the communication protocol and detection parameters of the on-board computer through an automated interaction interface to initialize the detection system;

[0074] Step S2, the adaptive detection middleware establishes an RS422, CAN or TCP communication connection with the on-board computer to establish a communication connection;

[0075] Step S3, monitor the heartbeat signal, power status, and communication data through a non-linear state space model for adaptive detection;

[0076] Step S4, the automated interaction interface receives the detection data for visual display;

[0077] When performing adaptive detection, predict the operating status of the on-board computer based on the non-linear state space model and dynamically adjust the detection strategy.

[0078] The detection system can automatically switch communication protocols during the detection process to adapt to different types of on-board computer interfaces.

[0079] Example 1, referring to Figure 1 , is the first embodiment of the present invention. This embodiment provides an adaptive detection device for an on-board computer, and its usage is as Figure 1 shown: Detection operators can load the automated interaction interface through a PC browser, and then simulate the space mission to configure, telemeter, and remotely control the on-board computer. In the interaction interface, operators can flexibly configure various communication protocol data, including but not limited to RS422, CAN, TCP, etc., to meet different communication requirements.

[0080] In addition, operators can also send telemetry commands through the interface and analyze the telemetry results in real time; at the same time, they can accurately send remote control commands and execute relevant operations.

[0081] The adaptive detection middleware is directly connected to the on-board computer and the PC through a mechanical interface to achieve the interaction function. It is responsible for processing various operation commands of the operation interface and real-time feedback of the detection results to the interface, presenting them to the operator in a timely and accurate manner for further analysis and decision-making.

[0082] Example 2, is the second embodiment of the present invention. This embodiment provides an on-board computer adaptive detection system, including:

[0083] An automated interaction interface, providing a user operation entry for managing the on-board computer to configure, collect telemetry data, and issue remote control commands;

[0084] An adaptive detection middleware for connecting the automated interaction interface and the on-board computer. The adaptive detection middleware includes: a heartbeat detection module, a power-on detection module, and a multi-protocol communication module;

[0085] A heartbeat detection module for real-time monitoring of the operating status of the on-board computer,

[0086] A power-on detection module for detecting the power status of the on-board computer,

[0087] The multi - protocol communication module includes RS422, CAN, and TCP communication interfaces and is used for data interaction with the on - board computer;

[0088] The non - linear state - space model is used to describe the state characteristics of the on - board computer and optimize the detection process;

[0089] The object under test, that is, the on - board computer, is connected to the adaptive detection middleware through a multi - protocol communication method;

[0090] Among them, the non - linear state - space model is a mathematical tool for describing the behavior of complex dynamic systems, which can accurately characterize the non - linear characteristics and dynamic changes of the system.

[0091] In the present invention, aiming at the detection requirements of the on - board computer, we designed a non - linear state - space model for efficiently describing and predicting the dynamic behavior of the on - board computer;

[0092] Its state - transition equation and output equation are as follows:

[0093] X k+1 = f(x k , u k , p),

[0094] y k = h(x k , u k , p),

[0095] Where: f(*): non - linear state - transition function, which describes how the system state changes over time. Since the system contains multiple modules, the state - transition function can be decomposed into multiple sub - functions:

[0096]

[0097] h(*): non - linear output function, which describes how the system output is generated according to the current state and input. The output function can also be decomposed into multiple sub - functions:

[0098]

[0099] x k : system state vector, representing the state of the on - board computer at time k, including the x GPIO,k state vector, x RS422,k state vector, x CAN,k state vector, x TCP,k state vector, x frontend,k and the state vectors of other extensible modules, etc.;

[0100]

[0101] yk : The system output vector, including heartbeat status, power detection status, and various communication data;

[0102] u k : The system input vector, including control instructions from the browser front-end and input data of communication protocols, etc., including u RS422,k Communication input, u CAN,k Communication input, u TCP,k Communication input, u frontend,k Front-end configuration instructions and inputs of other extensible modules, etc.;

[0103]

[0104] p: The system parameter vector, including p GPIO Heartbeat parameters, such as timers; p RS422 RS422 communication parameters, such as baud rate, frame format; p CAN CAN communication parameters, such as baud rate, node ID, etc.; p TCP TCP communication parameters, such as port number, IP address, target device number, and system parameters of other extensible modules, etc.;

[0105]

[0106] Example 3, refer to Figure 1 and Figure 2 , which is the third embodiment of the present invention. This embodiment provides an adaptive detection device for an on-board computer, and its detection method is as above Figure 1 shown, and the detection system architecture is as Figure 2 shown. It can be seen from Figure 2 that the entire detection system is divided into three layers: (1) operators; (2) adaptive detection middleware; (3) devices under test, where the adaptive detection middleware is the core component of the entire system architecture.

[0107] The adaptive detection middleware is connected to the operator's PC and the device under test (on-board computer) through mechanical interfaces. The operator loads an automated interaction interface through the PC and performs configuration, remote control, and telemetry operations on the on-board computer by simulating satellite services. These operations are processed by the SOC chip running the Linux system and encapsulated through a multi-protocol adaptive processing mechanism, and then sent to the corresponding mechanical interface, and further transmitted to the corresponding functional modules of the on-board computer. When the on-board computer returns telemetry and remote control data, the multi-protocol adaptive processing mechanism unpacks and parses the corresponding data, and the parsing results are fed back to the automated interaction interface through the SOC chip running the Linux system for presentation. After the user loads this interface, the real-time data of telemetry and remote control can be observed in real time.

[0108] In summary, the present invention:

[0109] Highly efficient integrated design: The present invention adopts a three-level architecture design of an automated interaction interface - an adaptive detection middleware - a device under test, simplifying the system architecture. The adaptive detection middleware integrates multiple communication modules, reducing the number of devices of the detection device and the complexity of the environmental topology, lowering the equipment cost and maintenance difficulty, and improving the reliability and detection efficiency of the system.

[0110] Nonlinear state space model: The nonlinear state space model is used to describe the dynamic behavior of the on-board computer, which can more accurately depict the complex characteristics of the system and provide a more powerful theoretical basis for the control and optimization of the system.

[0111] Multi-protocol adaptive processing mechanism: Based on the nonlinear state space model of the on-board computer, by integrating multiple communication protocols such as RS422, CAN, and TCP through software and hardware, the flexible configuration and expansion of the system are realized, meeting the communication requirements of the on-board computer in different working modes.

[0112] Automated interaction interface for on-board computer: This interaction interface runs on the adaptive detection middleware. Operators can load the adaptive detection middleware through a web browser to achieve functions such as configuration, telemetry, and remote control of the on-board computer without installing additional software. This design reduces manual operations, improves work efficiency, and enhances the security and reliability of the system.

[0113] Enhancing data visualization effect: The present invention adopts elements such as indicator lights and protocol data windows in the data presentation module to ensure that the detection results can be presented intuitively. It enhances the real-time detection of the on-board computer status by detection operators and the analysis ability of detection data, reduces manual judgment errors, and improves the accuracy of data interpretation.

[0114] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not restrictive. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention, and they should all be covered within the scope of the claims of the present invention.

Claims

1. A satellite-borne computer adaptive detection system, characterized in that: include, An automated interactive interface provides a user operation portal for managing the onboard computer to configure, collect telemetry data, and issue remote control commands; Adaptive detection middleware, used to connect the automated interactive interface with the onboard computer, the adaptive detection middleware includes: a heartbeat detection module, a power-on detection module and a multi-protocol communication module; Heartbeat detection module, used to monitor the operating status of the onboard computer in real time. The power-on detection module is used to detect the power status of the onboard computer. Multi-protocol communication module, including RS422, CAN and TCP communication interfaces, for data exchange with onboard computers; Nonlinear state space model, used to describe the state characteristics of the onboard computer and optimize the detection process; The object under test, i.e. the onboard computer, is connected to the adaptive detection middleware via a multi-protocol communication method.

2. The onboard computer adaptive detection system according to claim 1, characterized in that: The automated interactive interface runs in a web browser, and users can load the interface remotely without installing additional software.

3. The onboard computer adaptive detection system according to claim 2, characterized in that: The self-adaptive detection middleware runs on the basis of Linux operating system and uses SOC chip for data processing.

4. The onboard computer adaptive detection system according to claim 3, characterized in that: The heartbeat detection module performs real-time analysis of the operating status of the onboard computer based on a nonlinear state space model and supports abnormal status alarms.

5. The onboard computer adaptive detection system according to claim 4, characterized in that: The power supply detection module supports the power supply status monitoring of the onboard computer and triggers the automatic recovery mechanism when an abnormality is detected.

6. The onboard computer adaptive detection system according to claim 5, characterized in that: The multi-protocol communication module comprises: RS422 communication interface for high-speed data transmission; CAN communication interface for low-latency and stable data exchange; TCP communication interface, used for remote data interaction.

7. The onboard computer adaptive detection system according to claim 6, characterized in that: The nonlinear state space model comprises: The state transfer equation is used to describe the dynamic changes of each functional module of the onboard computer and is expressed as: X k+1 =f(x k ,u k ,p), The output equation, used to interpret the detection data and provide status feedback, is expressed as: y k =h(x k ,u k ,p), Among them, x k is the system state vector, which represents the state of the onboard computer at time k, including x GPIO,k The state vector, X RS422,k The state vector, X CAN,k The state vector, X TCP,k The state vector, X frontend,k and the state vectors of other extensible modules, u k The system input vector includes control instructions from the browser front end and input data of the communication protocol, including u RS422,k Communication input, u CAN,k Communication input, u TCP,k Communication input, u frontend,k Front-end configuration instructions and other extensible module inputs, p is the system parameter vector, including p GPIO Heartbeat parameters, p RS422 RS422 communication parameters, p CAN CAN communication parameters, p TCP TCP communication parameters and system parameters of other expandable modules, f(*) represents the nonlinear state transfer function, h(*) represents the nonlinear output function, y k Output vector for the system, including heartbeat status, power detection status and communication data, X k+1 The state of the onboard computer at the next predicted moment.

8. An onboard computer adaptive detection method, based on an onboard computer adaptive detection system according to any one of claims 1 to 7, characterized in that: include: Step S1, configuring the communication protocol and detection parameters of the onboard computer through the automated interactive interface, and initializing the detection system; Step S2, the adaptive detection middleware establishes an RS422, CAN or TCP communication connection with the onboard computer to establish a communication connection; Step S3, monitoring the heartbeat signal, power status and communication data through a nonlinear state space model to perform adaptive detection; Step S4: The automated interactive interface receives the detection data and displays it visually.

9. The onboard computer adaptive detection method according to claim 8, characterized in that: When performing adaptive detection, the operating status of the onboard computer is predicted based on the nonlinear state space model, and the detection strategy is dynamically adjusted.

10. The onboard computer adaptive detection method according to claim 9, characterized in that: The detection system can automatically switch the communication protocol during the detection process to adapt to different types of onboard computer interfaces.

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