CN112507608A - Security simulation method and device for space human-computer interaction system - Google Patents
Security simulation method and device for space human-computer interaction system Download PDFInfo
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Abstract
The invention provides a safety simulation method and device for a space human-computer interaction system. The method comprises the following steps: identifying a task implementation process of the space human-computer interaction system according to a task profile of the space human-computer interaction system; determining human factor error factors, equipment fault factors, environmental disturbance factors and coupling factors of a space human-computer interaction system according to a task implementation process; acquiring the result state of the factors; quantifying the occurrence probability of the factors based on a human factor reliability model, an equipment fault tree model, an environmental disturbance Markov model and a coupling factor Bayesian network model; setting the running conditions of the space human-computer interaction system task according to the occurrence probability and the task profile; and simulating and operating the space human-computer interaction system task, and determining the safety and reliability of the space human-computer interaction system according to the simulation operation result and the consequence state. The method has feasibility and effectiveness, can be popularized and applied to the aerospace field, and guides the safety modeling simulation of a space man-machine system.
Description
Technical Field
The invention relates to the technical field of system safety reliability detection, in particular to a safety simulation method and a safety simulation device for a space human-computer interaction system.
Background
With the progress of scientific technology, manned space engineering also enters a space station stage, and the astronaut can not work in the space station in the future without human-computer interaction, so that the research on the space human-computer interaction technology and the human-computer interaction system safety reliability technology is an essential step for the development of the manned space engineering. Whether the space human-computer interaction system can safely and reliably complete a given task or not has many influencing factors, such as equipment reliability, operator reliability (ability, experience, physiological state, psychological state and the like), operating environments (such as space environment and reentry atmosphere environment) and various complex functions which need to be realized by the system. The safety modeling and simulation of the space human-computer interaction system are important means for ensuring the successful implementation of space human-computer interaction tasks and the safety of astronauts and platforms.
When the traditional human-computer interaction safety modeling method is used for analyzing influence factors of a complex system, the safety and the reliability of a dynamic system cannot be evaluated due to the self limitation of the method.
Disclosure of Invention
The technical problem solved by the invention is as follows: the defects of the prior art are overcome, and a safety simulation method and a safety simulation device of a space human-computer interaction system are provided.
In order to solve the technical problem, an embodiment of the present invention provides a security simulation method for a space human-computer interaction system, including:
identifying a task implementation process corresponding to the space human-computer interaction system according to a task profile corresponding to the space human-computer interaction system;
determining human factor error factors, equipment fault factors, environment disturbance factors and coupling factors corresponding to the space human-computer interaction system according to the task implementation process, wherein the coupling factors comprise human-computer, machine ring, human ring and human-computer ring forming factors;
acquiring the consequence state of the human factor, the equipment fault factor, the environmental disturbance factor and the coupling factor influencing the space human-computer interaction system;
respectively quantifying the occurrence probability corresponding to the human factor fault factor, the equipment fault factor, the environmental disturbance factor and the coupling factor based on a trained human factor reliability model, an equipment fault tree model, an environmental disturbance Markov model and a coupling factor Bayesian network model;
setting the running conditions of the tasks corresponding to the space human-computer interaction system according to the occurrence probability and the task profile;
and simulating and operating the task corresponding to the space human-computer interaction system, and determining the safety and reliability of the space human-computer interaction system according to a simulation operation result and the consequence state.
Optionally, the identifying a task implementation process corresponding to the space human-computer interaction system according to the task profile corresponding to the space human-computer interaction system includes:
acquiring a task background and task content corresponding to the space human-computer interaction system;
acquiring the task profile according to the task background and the task content;
and analyzing the task profile to identify a task implementation flow corresponding to the space human-computer interaction system.
Optionally, the obtaining of the consequence state of the human error factor, the equipment fault factor, the environmental disturbance factor, and the coupling factor affecting the space human-computer interaction system includes:
constructing and obtaining an effect state index system corresponding to the space human-computer interaction system according to the human factor error factor, the equipment fault factor, the environmental disturbance factor and the coupling factor;
and determining the consequence states corresponding to the human error factor, the equipment fault factor, the environmental disturbance factor and the coupling factor according to the consequence state index system and the subtask events corresponding to the human error factor, the equipment fault factor, the environmental disturbance factor and the coupling factor respectively.
Optionally, the setting, according to the occurrence probability and the task profile, an operating condition of a task corresponding to the space human-computer interaction system includes:
and setting system parameters, simulation conditions, system absorption state rules and truncation probability threshold values of the tasks corresponding to the space human-computer interaction system according to the occurrence probability and the task profile.
Optionally, the simulating and operating a task corresponding to the space human-computer interaction system, and determining the safety reliability of the space human-computer interaction system according to a simulation operation result and the result state includes:
building a tree remote according to the dynamic discrete event tree, and simulating a task implementation flow of the space man-machine interaction system by adopting a preset sampling method to obtain a simulation operation result corresponding to the space man-machine interaction system;
acquiring a dynamic risk sequence and a static risk sequence combination corresponding to the space man-machine interaction system according to the simulation operation result;
and calculating to obtain a probability value corresponding to the consequence state according to the simulation operation result, and determining the safety reliability of the space human-computer interaction system according to the probability value.
In order to solve the above technical problem, an embodiment of the present invention further provides a security simulation apparatus for a space human-computer interaction system, including:
the task implementation flow identification module is used for identifying a task implementation flow corresponding to the space human-computer interaction system according to a task profile corresponding to the space human-computer interaction system;
the system influence factor determining module is used for determining human error factors, equipment fault factors, environment disturbance factors and coupling factors corresponding to the space human-computer interaction system according to the task implementation process, wherein the coupling factors comprise human machines, machine rings, human rings and human-computer ring forming factors;
the consequence state acquisition module is used for acquiring the consequence states of the human-caused fault factors, the equipment fault factors, the environmental disturbance factors and the coupling factors, which influence the space human-computer interaction system;
the occurrence probability quantification module is used for respectively quantifying occurrence probabilities corresponding to the human factor fault factor, the equipment fault factor, the environmental disturbance factor and the coupling factor based on a trained human factor reliability model, an equipment fault tree model, an environmental disturbance Markov model and a coupling factor Bayesian network model;
the running condition setting module is used for setting the running conditions of the tasks corresponding to the space human-computer interaction system according to the occurrence probability and the task profile;
and the safety reliability determining module is used for simulating and operating the task corresponding to the space human-computer interaction system and determining the safety reliability of the space human-computer interaction system according to a simulation operation result and the consequence state.
Optionally, the task implementation flow identifying module includes:
the task background acquisition unit is used for acquiring a task background and task content corresponding to the space human-computer interaction system;
the task profile acquisition unit is used for acquiring the task profile according to the task background and the task content;
and the task flow identification unit is used for analyzing the task profile so as to identify a task implementation flow corresponding to the space human-computer interaction system.
Optionally, the result state obtaining module includes:
the index system building unit is used for building an outcome state index system corresponding to the space human-computer interaction system according to the human error factor, the equipment fault factor, the environmental disturbance factor and the coupling factor;
and the consequence state determining unit is used for determining the consequence states corresponding to the human factor fault factor, the equipment fault factor, the environmental disturbance factor and the coupling factor according to the consequence state index system and the subtask events corresponding to the human factor fault factor, the equipment fault factor, the environmental disturbance factor and the coupling factor respectively.
Optionally, the operating condition setting module includes:
and the operating condition setting unit is used for setting system parameters, simulation conditions, system absorption state rules and truncation probability threshold values of the tasks corresponding to the space human-computer interaction system according to the occurrence probability and the task profile.
Optionally, the safety reliability determining module includes:
the simulation result acquisition unit is used for building a tree remote according to the dynamic discrete event tree, simulating a task implementation process of the space human-computer interaction system by adopting a preset sampling method, and acquiring a simulation operation result corresponding to the space human-computer interaction system;
a risk sequence combination obtaining unit, configured to obtain a dynamic risk sequence and a static risk sequence combination corresponding to the space human-computer interaction system according to the simulation operation result;
and the safety reliability determining unit is used for calculating a probability value corresponding to the consequence state according to the simulation operation result and determining the safety reliability of the space man-machine interaction system according to the probability value.
Compared with the prior art, the invention has the advantages that: according to the safety simulation method and device of the space human-computer interaction system, the influence of single items such as a human-computer loop and the like and coupling factors on the system is comprehensively considered through safety modeling and simulation, safety key factors are comprehensively identified, and the modeling and simulation are input more specifically; breaking through the traditional static event tree and fault tree modeling simulation method, dynamically describing the task implementation process of the space human-computer interaction system, and overcoming the problem of combined explosion by using a truncation rule; the safety qualitative simulation result is added with a dynamic risk sequence except a static risk combination obtained by a traditional simulation method, and can provide more powerful support for risk control in the implementation process of the human-computer interaction task.
Drawings
Fig. 1 is a flowchart illustrating steps of a security simulation method for a space human-computer interaction system according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a security simulation apparatus of a space human-computer interaction system according to an embodiment of the present invention.
Detailed Description
Example one
Referring to fig. 1, a flowchart illustrating steps of a security simulation method of a space human-computer interaction system according to an embodiment of the present invention is shown, and as shown in fig. 1, the security simulation method of the space human-computer interaction system may specifically include the following steps:
step 101: and identifying a task implementation flow corresponding to the space human-computer interaction system according to the task profile corresponding to the space human-computer interaction system.
In the embodiment of the present invention, the present invention will be further described in detail with reference to an KJZ environmental protection subsystem as an example.
In this example, a task implementation flow corresponding to the space human-computer interaction system, that is, a task implementation process, may be identified according to a task profile corresponding to the control human-computer interaction system, and specifically, the following specific implementation manner may be combined for detailed description.
In a specific implementation manner of the present invention, the step 101 may include:
substep A1: acquiring a task background and task content corresponding to the space human-computer interaction system;
substep A2: acquiring the task profile according to the task background and the task content;
substep A3: and analyzing the task profile to identify a task implementation flow corresponding to the space human-computer interaction system.
In the embodiment of the invention, firstly, security modeling can be performed on KJZ environmental control and protection subsystem, and the maintenance task implementation step in the cabin of KJZ environmental control and protection subsystem is identified through task profile analysis, and specifically, the maintenance task implementation step can be performed by the following two steps:
1. defining KJZ environment control life subsystem under-cabin maintenance task background and content
Taking a single cabin maintenance task of an KJZ environment-controlled biological protection subsystem as an example, the task background is that KJZ in-orbit operation stage, and under the service condition of two astronauts, an oxygen supply assembly of the environment-controlled biological protection subsystem needs to be replaced due to preventive maintenance requirements; the main task contents are to determine the object and position of the operation, make an operation plan, disassemble the old assembly and install the new assembly.
2. Identifying KJZ environment-control life-saving system task implementation step
Analyzing a task section, and determining an in-cabin maintenance task implementation step: the method comprises the steps of determining an operation object (oxygen supply assembly), making an operation plan, disassembling the oxygen supply assembly, installing the oxygen supply assembly, specifically, determining subtask events, determining the occurrence time, the subtask failure probability and the like, and finishing the subtask events, which are shown in a table 1.
TABLE 1 subtask event Table
After identifying the task implementation process corresponding to the space human-computer interaction system according to the task profile corresponding to the space human-computer interaction system, step 102 is executed.
Step 102: and determining human factor error factors, equipment fault factors, environment disturbance factors and coupling factors corresponding to the space human-computer interaction system according to the task implementation process, wherein the coupling factors comprise human-computer, machine ring, human ring and human-computer ring forming factors.
After the task implementation process corresponding to the space human-computer interaction system is identified, human error factors, equipment fault factors, environmental disturbance factors and coupling factors corresponding to the space human-computer interaction system can be determined according to the task implementation process, and particularly, key factors influencing safe and reliable operation of the system are analyzed according to the KJZ environment-friendly subsystem task implementation process; and classifying the parameters according to single factors of human error, equipment fault and environmental disturbance, human-machine, machine ring, human ring and human-machine ring coupling factors to finally form an influence factor table 2.
TABLE 2 influence factor Table
After determining human factors, equipment failure factors, environmental disturbance factors and coupling factors corresponding to the space human-computer interaction system according to the task implementation process, step 103 is executed.
Step 103: and acquiring the consequence state of the human factor, the equipment fault factor, the environmental disturbance factor and the coupling factor influencing the space human-computer interaction system.
After acquiring the human-caused fault factor, the equipment fault factor, the environmental disturbance factor and the coupling factor corresponding to the space human-computer interaction system, the consequence state of the human-caused fault factor, the equipment fault factor, the environmental disturbance factor and the coupling factor, which affect the space human-computer interaction system, may be acquired, and specifically, the following specific implementation manner may be combined for detailed description.
In another specific implementation manner of the present invention, the step 103 may include:
substep B1: constructing and obtaining an effect state index system corresponding to the space human-computer interaction system according to the human factor error factor, the equipment fault factor, the environmental disturbance factor and the coupling factor;
substep B2: and determining the consequence states corresponding to the human error factor, the equipment fault factor, the environmental disturbance factor and the coupling factor according to the consequence state index system and the subtask events corresponding to the human error factor, the equipment fault factor, the environmental disturbance factor and the coupling factor respectively.
In the embodiment of the present invention, the manner of obtaining the consequence state of the human error factor, the equipment fault factor, the environmental disturbance factor and the coupling factor affecting the space human-computer interaction system may be:
1. and (8) constructing KJZ an environmental protection system consequence state index system. The method comprises two parts of task reliability and system safety indexes: the main indexes of the task reliability are as follows: probability of task failure, LOM (loss of mission); the main indexes of the system safety are as follows: LOC (loss of credit) probability of reliable casualties, LOV (loss of vehicle) probability of platform loss, LOCV (loss of credit and vehicle) probability of machine-induced casualties;
2. and analyzing the influence of subtask failure on the system state aiming at the subtask event, judging the consequence state of the subtask failure by combining various criteria in an index system, and quantifying the subtask failure probability according to engineering experience.
KJZ the effect of subtask eventing elements on system status in the environmental protection subsystem is shown in Table 3.
Table 3 subtask failure consequence status and failure probability table:
| subtask sequence number | Status of consequences of subtask failure | Probability of failure |
| H1 | LOM | 0.0007 |
| H2 | LOM | 0.0010 |
| H3 | LOV+LOM | 0.0003 |
| H4 | LOV+LOM | 0.0003 |
And analyzing the influence of the occurrence of the key safety factors on the system state, and judging the consequence state of the key safety factors by combining various criteria in an index system.
KJZ the influence of each key factor in the environmental protection subsystem on the system status is shown in Table 4.
TABLE 4 influencing factor consequence status Table
| Number of influencing factor | Time to subsystem failure | Consequence states |
| H0 | 1h | LOCV |
| M1 | 3h | LOC |
| M2 | 8h | LOV |
| M3 | 7h | LOCV |
| E1 | 2h | LOC |
| E2 | 4h | LOC |
| E3&H6 | 0 | LOC |
| E4&M4 | 0 | LOV |
| B | 20h | LOCV |
| C1 | 1h | LOCV |
| C2 | 2h | LOCV |
After obtaining the result states of the human error factor, the equipment fault factor, the environmental disturbance factor and the coupling factor affecting the space human-computer interaction system, executing step 104.
Step 104: respectively quantifying the occurrence probability corresponding to the human factor fault factor, the equipment fault factor, the environmental disturbance factor and the coupling factor based on a trained human factor reliability model, an equipment fault tree model, an environmental disturbance Markov model and a coupling factor Bayesian network model.
After obtaining the consequence state of the human-caused fault factor, the equipment fault factor, the environmental disturbance factor and the coupling factor affecting the space human-computer interaction system, respectively quantizing the occurrence probability corresponding to the human-caused fault factor, the equipment fault factor, the environmental disturbance factor and the coupling factor based on a trained human-caused reliability model, an equipment fault tree model, an environmental disturbance markov model and a coupling factor bayesian network model, specifically: respectively establishing a CREAM human factor reliability model, an equipment fault tree model and an environmental disturbance Markov model according to the safety key factors of the KJZ environment-controlled life-saving subsystem, and quantifying the occurrence probability of the single-item influence factors; performing Bayesian network modeling on the coupling factors to quantify the occurrence probability of the coupling factors, wherein the specific steps comprise the following steps:
1. establishing a CREAM human factor reliability model, an equipment fault tree model, an environmental disturbance Markov model and a coupling factor Bayesian network model;
2. the probability quantization is performed on the single factors and the coupling factors, and the result after the quantization is shown in the table 5:
TABLE 5 influence factor probability quantization Table
After the occurrence probabilities corresponding to the human-induced fault factor, the equipment fault factor, the environmental disturbance factor, and the coupling factor are respectively quantized based on the trained human-induced reliability model, the equipment fault tree model, the environmental disturbance markov model, and the coupling factor bayesian network model, step 105 is executed.
Step 105: and setting the running conditions of the tasks corresponding to the space human-computer interaction system according to the occurrence probability and the task profile.
Step 106: and simulating and operating the task corresponding to the space human-computer interaction system, and determining the safety and reliability of the space human-computer interaction system according to a simulation operation result and the consequence state.
The task profile and the safety influence factors of the KJZ environment-friendly life-saving subsystem are used as input of safety modeling and simulation, simulation time, step length and times are set, a system absorption state rule is formulated, a truncation probability threshold is taken, and a DYLAM + MC sampling method is adopted to simulate a task implementation process according to a dynamic discrete event tree building principle.
First, input parameters required for modeling simulation are determined
Determining KJZ self parameters of the environmental control and health protection subsystem (see step one and step two);
setting simulation conditions (which can be adjusted according to the actual condition of the system): the simulation time is 24 hours, the sampling step length is 0.5 hour, and the simulation times are 1000.
Secondly, a system absorption state rule is established
And (3) formulating an absorption state rule (which can be adjusted according to the actual condition of the system): when 3 safety-critical influencing factors occur (simultaneously or sequentially), the system immediately enters the absorption state.
Further, a truncation probability threshold is selected
And selecting the truncation probability threshold value to be 10-5 according to the convergence requirement of the algorithm and engineering experience (adjustment can be carried out according to different system actual conditions).
Further, simulation of task implementation process
According to the dynamic discrete event tree building principle, a DYLAM + MC sampling method is adopted to simulate KJZ the task implementation process of the environment-friendly life-saving subsystem.
The basic idea of DYLAM is to closely combine stochastic probability science with the behavior of the system and simulate and deduce accident scenarios, thereby making detailed studies on the reliability and safety of the system. MC simulation determines the time and direction of a certain state transition in a random sampling manner based on a Continuous Event Tree (CET) model. The DYLAM + MC sampling method is a dynamic simulation method based on Discrete Event Trees (DET) by combining the advantages of two methods.
And according to the simulation result, acquiring a dynamic risk sequence and a static risk combination which affect the system safety, classifying the results according to the task success, personnel loss and platform loss conditions, and calculating the system safety reliability.
1. Identifying dynamic risk sequences and static risk combinations
And acquiring a dynamic risk sequence and a static risk combination of the environmental control and life-saving subsystem according to the qualitative simulation result.
Static risk combination: a combination of influencing factors that result in the system being in an unsafe state. For a spatial human machine system, a static risk combination may include one or more of a single influencing factor and a coupled influencing factor, and there is no temporal causal relationship between these factors. Due to the complexity of the space man-machine system, the static risk combination can be multiple, so that the criterion for determining the static risk combination needs to be given according to actual conditions.
Dynamic risk sequence: and the dangerous paths are formed by influencing factors which occur in a certain sequence and finally lead the system to be in an unsafe state. A dynamic risk sequence may include one or more of a single influencing factor and a coupled influencing factor, and there is a temporal causal relationship between these factors. Due to the complexity of the space man-machine system, a plurality of dynamic risk sequences are possible, and a criterion for determining the dynamic risk sequences needs to be given according to actual conditions.
Under the simulation condition adopted in the invention, the results of identifying the static risk combination and the dynamic risk sequence are as follows.
A total of 15 static risk combinations, [ M2, E2], [ M3, E2], [ M3, M2], [ M2, E1], [ M3, M1], [ B1, E2], [ M2, M1], [ B1, M2], [ B1, M2, E2], [ B1, M3], [ E1, E2], [ E1, M3], [ E2, C1], [ E2, M1], [ M2, M3, E2], the sum of the occurrence probabilities being about 0.00049.
The dynamic risk combination comprises 23 kinds of the following components, wherein the total occurrence probability sum of [ E, M ], [ M, E ], [ H, E ], [ E, E ], [ M, M ], [ E, E ], [ M, H ], [ E, E ], [ M, H ], [ B, E ], [ C, M ], [ E, H ], [ E, B, E ], [ E, E, H ], [ E, H, M ], [ M & E, E ], [ M, M ] is about 0.00083.
2. Computing KJZ task reliability of environmental control and life-saving subsystem
And (3) calculating the probability value of the system consequence state being LOM according to the quantitative simulation result, and calculating the task reliability of the system according to the formula (1).
R＝1-P(LOM) (1)
Under the simulation condition adopted by the invention, the calculation result of the task reliability of the system is about 0.96601.
3. And calculating the personnel loss, the platform loss probability, the machine damage and human death probability and the system safety and reliability.
And (3) calculating probability values of the system consequence states of LOC, LOV and LOCV according to the quantitative simulation result, and calculating the system safety reliability according to a formula (2).
RS＝1-P(LOC)-P(LOV)-P(LOCV) (2)
Under the simulation condition adopted by the invention, the calculation result of the system safety and reliability is about 0.90089.
The space human-computer interaction system safety modeling and simulation method based on the dynamic discrete event tree can accurately describe the dynamic characteristics of the space human-computer interaction system and accurately evaluate the task reliability and the platform and personnel safety level. Compared with the task reliability and safety reliability calculation result of the traditional system, the error of the method is within 10 percent, so that the method has feasibility and effectiveness, can be popularized and applied to the aerospace field, and guides the safety modeling simulation of a space man-machine system.
Example two
Referring to fig. 2, a schematic structural diagram of a security simulation apparatus of a space human-computer interaction system according to an embodiment of the present invention is shown, and as shown in fig. 2, the security simulation apparatus of the space human-computer interaction system may specifically include the following modules:
the task implementation flow identification module 210 is configured to identify a task implementation flow corresponding to the space human-computer interaction system according to a task profile corresponding to the space human-computer interaction system;
the system influence factor determining module 220 is configured to determine a human error factor, an equipment fault factor, an environmental disturbance factor, and a coupling factor corresponding to the space human-computer interaction system according to the task implementation process, where the coupling factor includes a human machine, a machine ring, a human ring, and a human-computer ring;
an outcome state obtaining module 230, configured to obtain an outcome state in which the human error factor, the equipment fault factor, the environmental disturbance factor, and the coupling factor affect the space human-computer interaction system;
an occurrence probability quantization module 240, configured to quantize occurrence probabilities corresponding to the human factor fault factor, the equipment fault factor, the environmental disturbance factor, and the coupling factor based on the trained human factor reliability model, the equipment fault tree model, the environmental disturbance markov model, and the coupling factor bayesian network model, respectively;
the running condition setting module 250 is used for setting the running conditions of the tasks corresponding to the space human-computer interaction system according to the occurrence probability and the task profile;
and the safety reliability determining module 260 is used for simulating and operating the task corresponding to the space human-computer interaction system, and determining the safety reliability of the space human-computer interaction system according to a simulation operation result and the consequence state.
Optionally, the task implementation flow identifying module includes:
the task background acquisition unit is used for acquiring a task background and task content corresponding to the space human-computer interaction system;
the task profile acquisition unit is used for acquiring the task profile according to the task background and the task content;
and the task flow identification unit is used for analyzing the task profile so as to identify a task implementation flow corresponding to the space human-computer interaction system.
Optionally, the result state obtaining module includes:
the index system building unit is used for building an outcome state index system corresponding to the space human-computer interaction system according to the human error factor, the equipment fault factor, the environmental disturbance factor and the coupling factor;
and the consequence state determining unit is used for determining the consequence states corresponding to the human factor fault factor, the equipment fault factor, the environmental disturbance factor and the coupling factor according to the consequence state index system and the subtask events corresponding to the human factor fault factor, the equipment fault factor, the environmental disturbance factor and the coupling factor respectively.
Optionally, the operating condition setting module includes:
and the operating condition setting unit is used for setting system parameters, simulation conditions, system absorption state rules and truncation probability threshold values of the tasks corresponding to the space human-computer interaction system according to the occurrence probability and the task profile.
Optionally, the safety reliability determining module includes:
the simulation result acquisition unit is used for building a tree remote according to the dynamic discrete event tree, simulating a task implementation process of the space human-computer interaction system by adopting a preset sampling method, and acquiring a simulation operation result corresponding to the space human-computer interaction system;
a risk sequence combination obtaining unit, configured to obtain a dynamic risk sequence and a static risk sequence combination corresponding to the space human-computer interaction system according to the simulation operation result;
and the safety reliability determining unit is used for calculating a probability value corresponding to the consequence state according to the simulation operation result and determining the safety reliability of the space man-machine interaction system according to the probability value.
Those skilled in the art will appreciate that the details of the invention not described in detail in this specification are well within the skill of those skilled in the art.
Claims (10)
1. A safety simulation method of a space human-computer interaction system is characterized by comprising the following steps:
identifying a task implementation process corresponding to the space human-computer interaction system according to a task profile corresponding to the space human-computer interaction system;
determining human factor error factors, equipment fault factors, environment disturbance factors and coupling factors corresponding to the space human-computer interaction system according to the task implementation process, wherein the coupling factors comprise human-computer, machine ring, human ring and human-computer ring forming factors;
acquiring the consequence state of the human factor, the equipment fault factor, the environmental disturbance factor and the coupling factor influencing the space human-computer interaction system;
respectively quantifying the occurrence probability corresponding to the human factor fault factor, the equipment fault factor, the environmental disturbance factor and the coupling factor based on a trained human factor reliability model, an equipment fault tree model, an environmental disturbance Markov model and a coupling factor Bayesian network model;
setting the running conditions of the tasks corresponding to the space human-computer interaction system according to the occurrence probability and the task profile;
and simulating and operating the task corresponding to the space human-computer interaction system, and determining the safety and reliability of the space human-computer interaction system according to a simulation operation result and the consequence state.
2. The method according to claim 1, wherein the identifying a task implementation process corresponding to the space human-computer interaction system according to a task profile corresponding to the space human-computer interaction system comprises:
acquiring a task background and task content corresponding to the space human-computer interaction system;
acquiring the task profile according to the task background and the task content;
and analyzing the task profile to identify a task implementation flow corresponding to the space human-computer interaction system.
3. The method of claim 1, wherein the obtaining of the consequence state of the human error factor, the equipment failure factor, the environmental disturbance factor and the coupling factor affecting the space human-machine interaction system comprises:
constructing and obtaining an effect state index system corresponding to the space human-computer interaction system according to the human factor error factor, the equipment fault factor, the environmental disturbance factor and the coupling factor;
and determining the consequence states corresponding to the human error factor, the equipment fault factor, the environmental disturbance factor and the coupling factor according to the consequence state index system and the subtask events corresponding to the human error factor, the equipment fault factor, the environmental disturbance factor and the coupling factor respectively.
4. The method according to claim 1, wherein the setting of the operating condition of the task corresponding to the space human-computer interaction system according to the occurrence probability and the task profile comprises:
and setting system parameters, simulation conditions, system absorption state rules and truncation probability threshold values of the tasks corresponding to the space human-computer interaction system according to the occurrence probability and the task profile.
5. The method according to claim 1, wherein the simulating operation of the task corresponding to the space human-computer interaction system and the determination of the safety reliability of the space human-computer interaction system according to the simulation operation result and the consequence state comprise:
building a tree remote according to the dynamic discrete event tree, and simulating a task implementation flow of the space man-machine interaction system by adopting a preset sampling method to obtain a simulation operation result corresponding to the space man-machine interaction system;
acquiring a dynamic risk sequence and a static risk sequence combination corresponding to the space man-machine interaction system according to the simulation operation result;
and calculating to obtain a probability value corresponding to the consequence state according to the simulation operation result, and determining the safety reliability of the space human-computer interaction system according to the probability value.
6. A safety simulation device of a space human-computer interaction system is characterized by comprising:
the task implementation flow identification module is used for identifying a task implementation flow corresponding to the space human-computer interaction system according to a task profile corresponding to the space human-computer interaction system;
the system influence factor determining module is used for determining human error factors, equipment fault factors, environment disturbance factors and coupling factors corresponding to the space human-computer interaction system according to the task implementation process, wherein the coupling factors comprise human machines, machine rings, human rings and human-computer ring forming factors;
the consequence state acquisition module is used for acquiring the consequence states of the human-caused fault factors, the equipment fault factors, the environmental disturbance factors and the coupling factors, which influence the space human-computer interaction system;
the occurrence probability quantification module is used for respectively quantifying occurrence probabilities corresponding to the human factor fault factor, the equipment fault factor, the environmental disturbance factor and the coupling factor based on a trained human factor reliability model, an equipment fault tree model, an environmental disturbance Markov model and a coupling factor Bayesian network model;
the running condition setting module is used for setting the running conditions of the tasks corresponding to the space human-computer interaction system according to the occurrence probability and the task profile;
and the safety reliability determining module is used for simulating and operating the task corresponding to the space human-computer interaction system and determining the safety reliability of the space human-computer interaction system according to a simulation operation result and the consequence state.
7. The apparatus of claim 6, wherein the task execution flow identification module comprises:
the task background acquisition unit is used for acquiring a task background and task content corresponding to the space human-computer interaction system;
the task profile acquisition unit is used for acquiring the task profile according to the task background and the task content;
and the task flow identification unit is used for analyzing the task profile so as to identify a task implementation flow corresponding to the space human-computer interaction system.
8. The apparatus of claim 6, wherein the outcome status acquisition module comprises:
the index system building unit is used for building an outcome state index system corresponding to the space human-computer interaction system according to the human error factor, the equipment fault factor, the environmental disturbance factor and the coupling factor;
and the consequence state determining unit is used for determining the consequence states corresponding to the human factor fault factor, the equipment fault factor, the environmental disturbance factor and the coupling factor according to the consequence state index system and the subtask events corresponding to the human factor fault factor, the equipment fault factor, the environmental disturbance factor and the coupling factor respectively.
9. The apparatus of claim 6, wherein the operating condition setting module comprises:
and the operating condition setting unit is used for setting system parameters, simulation conditions, system absorption state rules and truncation probability threshold values of the tasks corresponding to the space human-computer interaction system according to the occurrence probability and the task profile.
10. The apparatus of claim 6, wherein the security reliability determination module comprises:
the simulation result acquisition unit is used for building a tree remote according to the dynamic discrete event tree, simulating a task implementation process of the space human-computer interaction system by adopting a preset sampling method, and acquiring a simulation operation result corresponding to the space human-computer interaction system;
a risk sequence combination obtaining unit, configured to obtain a dynamic risk sequence and a static risk sequence combination corresponding to the space human-computer interaction system according to the simulation operation result;
and the safety reliability determining unit is used for calculating a probability value corresponding to the consequence state according to the simulation operation result and determining the safety reliability of the space man-machine interaction system according to the probability value.
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