Emergency response strategy verification method based on data state mixing

Abstract

The invention provides an emergency response strategy verification method based on data state mixing, and the method comprises the steps: carrying out the generation of a star catalogue intelligent autonomous system emergency response strategy, and carrying out the determination of the triggering condition of the star catalogue intelligent autonomous system emergency response strategy based on data state mixing. And finally, carrying out instruction sequence-based star catalogue intelligent autonomous emergency response strategy verification to obtain a data state mixed emergency response strategy verification method. The method can effectively solve the problem that the emergency response strategy of the star catalogue intelligent autonomous system is difficult to verify, ensures that the emergency response strategy is reasonable and effective under the condition that the data and the state are mixed to the maximum extent, and provides a complete and effective solution for verification of the emergency response strategy of the star catalogue intelligent autonomous system.

Description

Technical Field

[0001] This invention belongs to the field of reliability verification technology for star-table intelligent autonomous systems, and specifically relates to a method for verifying emergency response strategies based on data state hybridization. Background Technology

[0002] In recent years, my country's space program has flourished, with exploration extending from near-Earth to the broader realm of outer space. Compared to traditional near-Earth exploration space products, the intelligent autonomous system on a spaceplane faces the challenge of longer communication delays on Earth, thus placing greater emphasis on its intelligence and autonomy in exploration missions. However, intelligent autonomous systems on spaceplanes often face complex and varied mission scenarios and harsh operating environments, making reliability verification a crucial issue for designers during the design and development process.

[0003] The harsh space environment and numerous unknowns mean that the system may face various mission scenarios and unforeseen circumstances during its on-orbit operation, necessitating a focus on scientific research benefits. This requires addressing challenges such as the design and verification of emergency response strategies during the development phase. To meet these new challenges, traditional aerospace product experience cannot be relied upon entirely; a completely new design philosophy is needed, integrating available on-orbit data and status factors to formulate and validate emergency response strategies.

[0004] In conclusion, there is an urgent need for a data-state hybrid emergency response strategy verification method to address unforeseen situations in the on-orbit environment of the satellite intelligent system, improve economic efficiency, and ensure the achievement of scientific objectives to a greater extent. Summary of the Invention

[0005] To overcome the shortcomings of existing technologies, the inventors have conducted intensive research and provided a method for verifying emergency response strategies based on mixed data and states. This method can effectively solve the problem of difficulty in verifying emergency response strategies for intelligent autonomous systems, maximize the rationality and effectiveness of emergency response strategies under mixed data and states conditions, and improve the economic benefits of aerospace products based on intelligent autonomous systems.

[0006] The technical solution provided by this invention is as follows: Firstly, a method for verifying emergency response strategies based on mixed data states includes: Analyze the functions of the Star Tablet Intelligent Autonomous System, refine the failure modes that lead to functional failure, classify them according to the degree of hazard, and determine emergency response strategies according to the degree of hazard. Based on the data and status criteria for the failure of the Star Table Intelligent Autonomous System, a hybrid criteria model for emergency response strategy data and status of the Star Table Intelligent Autonomous System is constructed. Based on the hybrid criteria determined by the hybrid criteria model for emergency response strategy data and status, the emergency response strategy of the Star Table Intelligent Autonomous System is triggered. Generate instruction sequences based on the emergency response strategy and implement the verification of the StarTables intelligent autonomous emergency response strategy.

[0007] Secondly, an emergency response strategy verification device based on data state hybridization includes: One or more processors; Storage device for storing one or more programs. When the one or more programs are executed by the one or more processors, the one or more processors implement the emergency response strategy verification method based on data state hybridity as described in the first aspect.

[0008] Thirdly, a readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the emergency response strategy verification method based on data state hybridity as described in the first aspect.

[0009] Fourthly, a computer program product comprising: a computer program (also referred to as code or instructions) that, when run, executes the emergency response strategy verification method based on data state hybridization as described in the first aspect.

[0010] The emergency response strategy verification method based on data state hybridization provided by the present invention has the following beneficial effects: This invention provides a method for verifying emergency response strategies based on mixed data and states. First, it generates an emergency response strategy for a satellite intelligent autonomous system. Second, it determines the triggering conditions for the emergency response strategy under mixed data and states. Finally, it verifies the emergency response strategy based on command sequences, resulting in a method for verifying emergency response strategies with mixed data and states. This method effectively solves the problem of difficulty in verifying emergency response strategies for satellite intelligent autonomous systems, maximizing the rationality and effectiveness of emergency response strategies under mixed data and states conditions, and providing a complete and effective solution for verifying emergency response strategies for satellite intelligent autonomous systems. Attached Figure Description

[0011] Figure 1 This is a flowchart of an emergency response strategy verification method based on data state mixing according to the present invention. Detailed Implementation

[0012] The features and advantages of the present invention will become clearer and more apparent from the following detailed description.

[0013] The term “exemplary” as used herein means “serving as an example, embodiment, or illustration.” Any embodiment illustrated herein as “exemplary” is not necessarily to be construed as superior to or better than other embodiments.

[0014] This invention provides a method for verifying emergency response strategies based on mixed data states, such as... Figure 1 As shown, Figure 1 As shown, it includes the following steps: Step 1: Analyze the functions of the Star Table Intelligent Autonomous System, refine the failure modes that lead to functional failure, classify them according to the degree of hazard, and determine the emergency response strategy according to the degree of hazard.

[0015] Step 1 is described in detail as follows: Step 1.1: Functional analysis of the Star Table Intelligent Autonomous System.

[0016] The main functions of the Star Array Intelligent Autonomous System include: real-time perception of orbital status, external threats and other environmental factors, enabling scientific observation, sample collection and other tasks.

[0017] Step 1.2: Determine the overall mission hazard level of the Star Table Intelligent Autonomous System.

[0018] The failure modes that lead to functional failure are refined. Taking the failure of the orbital status sensing function as an example, its main failure modes involve the attitude determination system, orbit determination system, power system, communication system, etc. The degree of harm of different failure modes to the overall mission of the satellite intelligent autonomous system is divided into three levels: Level A is the urgent level, Level B is the severe level, and Level C is the general level.

[0019] Step 1.3: Generation of emergency response strategy for the Star Table Intelligent Autonomous System.

[0020] Emergency response strategies are generated based on the severity of the fault. Level A corresponds to a fully autonomous emergency strategy: entering core safety mode and waiting for ground instructions; Level B corresponds to a semi-autonomous emergency strategy: entering mission safety mode and waiting for mission recovery; Level C corresponds to a low-autonomy emergency strategy: entering alarm state and continuing to execute the mission.

[0021] Step 2: Based on the data criteria and status criteria for the failure of the Star Table Intelligent Autonomous System, construct a hybrid criteria model for the emergency response strategy data and status of the Star Table Intelligent Autonomous System. Trigger the emergency response strategy of the Star Table Intelligent Autonomous System based on the hybrid criteria determined by the hybrid criteria model.

[0022] Step 2 is described in detail below: Step 2.1: Determine the functional failure data and status criteria of the Star Table Intelligent Autonomous System.

[0023] Taking the failure of the orbital status sensing function as an example, its data criteria include the detector attitude parameters, equipment force, heat and electrical parameters, space debris size, position and velocity parameters, and status criteria include communication status, energy status, computing resources and storage capacity.

[0024] Step 2.2: Based on the data criteria and status criteria for the failure of the Star Table Intelligent Autonomous System, construct a hybrid data and status criterion model for the emergency response strategy of the Star Table Intelligent Autonomous System.

[0025] A weighted fusion method was used to construct a hybrid criterion model for emergency response strategy data and status of the Star Table Intelligent Autonomous System. The data criterion value is the anomaly ratio R of the functional assurance subsystem. D The data criterion weight is W. D The status criterion value is the proportion R of functional guarantee status anomalies. S The state criterion weight is W. S The weights are assigned according to the confidence level of the criteria, and the mixed criterion J is the weighted value of the two. J=R D ×W D +R S ×W S Step 2.3: Trigger the emergency response strategy of the Star Table Intelligent Autonomous System based on the hybrid criteria determined by the Star Table Intelligent Autonomous System emergency response strategy data and the state hybrid criteria model.

[0026] The severity of the fault is determined based on the magnitude of the mixed criteria, which in turn triggers the emergency response strategy of the Star Tablet Intelligent Autonomous System. If J > 0.7, a Level A response strategy is triggered; if 0.7 > J > 0.3, a Level B response strategy is triggered; and if J < 0.3, a Level C response strategy is triggered.

[0027] Step 3: Generate a command sequence based on the emergency response strategy and verify the StarTable intelligent autonomous emergency response strategy.

[0028] Step 3 is as follows: Step 3.1: Based on the response strategy generated in Step 1.3, establish the instruction sequence.

[0029] Based on the emergency response strategy generated in step 1.3, establish the instruction sequence: Level A response strategy: Sun orientation, all antennas pointing to the Earth, minimum power consumption operation, execute ground instructions; Level B response strategy: critical payload standby, execute ground instructions; Level C response strategy: maintain current operating status, execute ground instructions.

[0030] Step 3.2: Based on step 2.3, determine the triggered emergency response strategy and inject the instruction sequence. Verify the effectiveness of the simulation strategy through changes in state output.

[0031] A star-table intelligent autonomous system architecture model was constructed in the SysML environment. Fault simulation was performed, and fault-related data and state parameters were extracted for fault criterion calculation. Based on step 2.3, the triggered emergency response strategy was determined. Emergency response strategy instructions were injected using an activity graph input stream. The effectiveness of the emergency response strategy was verified through state output stream changes. The SysML activity graph state input-output set representation method is as follows: s.outTrans= The set of output streams representing states; s.inTrans= The set of input streams representing states.

[0032] In summary, the method of this invention can effectively solve the problem of the difficulty in verifying the emergency response strategy of the star table intelligent autonomous system, and maximize the guarantee that the emergency response strategy is reasonable and effective under mixed data and state conditions, thus providing a complete and effective solution for the verification of the emergency response strategy of the star table intelligent autonomous system.

[0033] The present invention also provides an emergency response strategy verification device based on data state hybridization, comprising: One or more processors; Storage device for storing one or more programs. When the one or more programs are executed by the one or more processors, the one or more processors implement the emergency response strategy verification method based on data state hybridity as described in the first aspect.

[0034] The present invention also provides a readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the emergency response strategy verification method based on data state hybridity as described in the first aspect.

[0035] The readable storage media include, but are not limited to, USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, optical disks, and other media capable of storing program code.

[0036] The present invention also provides a computer program product comprising: a computer program (also referred to as code or instructions), which, when the computer program is run, executes the emergency response strategy verification method based on data state hybridity as described in the first aspect.

[0037] In the above embodiments, implementation can be achieved, in whole or in part, through software, hardware, firmware, or any combination thereof. When implemented using software, it can be implemented, in whole or in part, as a computer program product. The computer program product includes one or more computer instructions. When the computer instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments of this application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, microwave, etc.) means.

[0038] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0039] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the devices, apparatuses, and modules described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0040] The present invention has been described in detail above with reference to specific embodiments and exemplary examples; however, these descriptions should not be construed as limiting the present invention. Those skilled in the art will understand that various equivalent substitutions, modifications, or improvements can be made to the technical solutions and embodiments of the present invention without departing from the spirit and scope of the invention, and all such modifications and improvements fall within the scope of the present invention. The scope of protection of the present invention is defined by the appended claims.

[0041] The contents not described in detail in this specification are common knowledge to those skilled in the art.

Claims

1. A method for verifying emergency response strategies based on mixed data states, characterized in that, include: Analyze the functions of the Star Tablet Intelligent Autonomous System, refine the failure modes that lead to functional failure, classify them according to the degree of hazard, and determine emergency response strategies according to the degree of hazard. Based on the data and status criteria for the failure of the Star Table Intelligent Autonomous System, a hybrid criteria model for emergency response strategy data and status of the Star Table Intelligent Autonomous System is constructed. Based on the hybrid criteria determined by the hybrid criteria model for emergency response strategy data and status, the emergency response strategy of the Star Table Intelligent Autonomous System is triggered. Generate instruction sequences based on the emergency response strategy and implement the verification of the StarTables intelligent autonomous emergency response strategy.

2. The emergency response strategy verification method based on data state hybridity according to claim 1, characterized in that, The detailed fault modes that lead to functional failure are classified according to their severity, and emergency response strategies are determined according to the severity level. The steps include: classifying the severity of different fault modes on the overall mission of the Star Tablet Intelligent Autonomous System into three levels: Level A is urgent, Level B is severe, and Level C is moderate. Emergency response strategies are generated based on the severity of the fault. Level A corresponds to a fully autonomous emergency strategy: entering core safety mode and waiting for ground instructions; Level B corresponds to a semi-autonomous emergency strategy: entering mission safety mode and waiting for mission recovery; Level C corresponds to a low-autonomy emergency strategy: entering alarm state and continuing to execute the mission.

3. The emergency response strategy verification method based on data state hybridity according to claim 1, characterized in that, The step of constructing a hybrid criterion model for emergency response strategy data and status of the intelligent autonomous system based on data and status criteria for functional failure of the star-table intelligent autonomous system includes: constructing a hybrid criterion model for emergency response strategy data and status of the intelligent autonomous system through a weighted fusion method, wherein the data criterion value is the anomaly ratio R of the functional assurance subsystem. D The data criterion weight is W. D The status criterion value is the proportion R of functional guarantee status anomalies. S The state criterion weight is W. S The weights are assigned according to the confidence level of the criteria, and the mixed criterion J is the weighted sum of the two: J=R D ×W D +R S ×W S 。 4. The emergency response strategy verification method based on data state hybridity according to claim 1, characterized in that, The step of triggering the emergency response strategy of the Star Array Intelligent Autonomous System based on the hybrid criteria determined by the emergency response strategy data and the state hybrid criteria model includes: determining the degree of fault hazard based on the magnitude of the hybrid criteria, triggering the emergency response strategy of the Star Array Intelligent Autonomous System, and triggering the emergency response strategy of the Star Array Intelligent Autonomous System if J>0.7, triggering the Level A response strategy, triggering the Level B response strategy if 0.7>J>0.3, and triggering the Level C response strategy if J<0.

3.

5. The emergency response strategy verification method based on data state hybridity according to claim 1, characterized in that, The step of generating a command sequence based on the emergency response strategy and implementing the verification step of the intelligent autonomous emergency response strategy of the satellite array includes: establishing a command sequence based on the emergency response strategy. The command sequence for the Level A response strategy is: sun orientation, all antennas pointing to the earth, minimum power consumption operation, and execution of ground commands; the command sequence for the Level B response strategy is: critical payload standby, and execution of ground commands; and the command sequence for the Level C response strategy is: maintaining the current operating state and execution of ground commands.

6. The emergency response strategy verification method based on data state hybridity according to claim 1, characterized in that, The step of generating an instruction sequence based on the emergency response strategy and implementing the verification step of the intelligent autonomous emergency response strategy of the star table includes: constructing an intelligent autonomous system architecture model of the star table in the SysML environment, simulating faults, extracting fault-related data and state parameters to calculate fault criteria, injecting emergency response strategy instructions using an activity graph input stream according to the triggered emergency response strategy, and verifying the effectiveness of the emergency response strategy through state output stream changes.

7. An emergency response strategy verification device based on data state hybridization, characterized in that, include: One or more processors; Storage device for storing one or more programs. When the one or more programs are executed by the one or more processors, the one or more processors implement the emergency response strategy verification method based on data state hybridization as described in any one of claims 1 to 6.

8. A readable storage medium, characterized in that, It stores a computer program that, when executed by a processor, implements the emergency response strategy verification method based on data state mixing as described in any one of claims 1 to 6.

9. A computer program product, characterized in that, The computer program product includes: a computer program that, when the computer program is run, executes the emergency response strategy verification method based on data state hybridization as described in any one of claims 1 to 6.

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