Simulation method and system for emergency evacuation of personnel of wide-body airliner with composite inclined attitude

Abstract

The invention discloses a simulation method and system for emergency evacuation of personnel of a wide-body airliner in a composite inclined posture, and belongs to the technical field of emergency evacuation simulation. The method comprises the steps that S1, a wide-body airliner physical simulation model is built, and intelligent agent setting is conducted in the wide-body airliner physical simulation model; and S2, performing personnel emergency evacuation simulation under the composite inclined body posture based on an improved social force model, an intelligent body model and the wide-body airliner physical simulation model. According to the method, the reality of simulation is comprehensively considered, and a simulation model for emergency evacuation of people in a passenger cabin of a wide-body passenger plane (B787) in a composite inclination posture of rolling inclination and pitching inclination is constructed. The method is expected to supplement data for related research of emergency evacuation of personnel in an inclined attitude of an airplane and provide corresponding basic support for actual situations.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of emergency evacuation simulation, and particularly relates to a simulation method and system for personnel emergency evacuation of a wide-body passenger plane in a complex inclined posture. BACKGROUND

[0002] The number of domestic wide-body passenger planes is also growing, and is being continuously developed and built according to plans. The application of wide-body planes is a trend in the future development of the aviation industry. After the successful test flight of the domestic large aircraft C919, the research on wide-body passenger planes has become increasingly important in future research. It is of practical significance to take wide-body planes as the research object and carry out related emergency evacuation research. In existing research: the Anylogic simulation software is used to study the influence of personnel evacuation of a civil aviation plane under a fire scenario after introducing a panic factor and a collective relationship influencing factor, the Anylogic simulation software is used to simulate and research a wide-body plane of a BWB type, the simulation and simulation method combining Pyrosim and Anylogic is used to simulate and research the personnel emergency evacuation of a single-channel passenger cabin of a wide-body plane under a fire scenario, considering the effects of fire products, carbon monoxide, temperature changes and other factors, and the influence of personnel evacuation under the effects of several factors is analyzed. However, the current research on the inclined posture of the plane is mostly limited to the research on a single inclined condition. There is an urgent need for a simulation model that takes the posture of the plane under a complex inclined condition as the research object and studies the emergency evacuation of personnel in the passenger cabin under this condition. SUMMARY

[0003] The application aims to solve the problems of the prior art and provides a simulation model based on a social force model and an agent model, which can carry out personnel emergency evacuation in the passenger cabin of a wide-body passenger plane (B787) under a complex inclined posture, and realizes related research on personnel emergency evacuation in the passenger cabin of a wide-body passenger plane under a complex inclined posture.

[0004] To achieve the above-mentioned purpose, the application provides the following scheme: a simulation method for personnel emergency evacuation of a wide-body passenger plane in a complex inclined posture, comprising the following steps:

[0005] S1, building a physical simulation model of a wide-body passenger plane and setting an agent in the physical simulation model of the wide-body passenger plane;

[0006] S2, simulating personnel emergency evacuation under a complex inclined posture based on an improved social force model, an agent model and the physical simulation model of the wide-body passenger plane.

[0007] Further preferably, in S1, the physical simulation model of the wide-body passenger plane is built based on the real parameters of the real passenger cabin of the wide-body passenger plane, and Monte Carlo simulation is adopted to output the minimum safety interval standard and airspace capacity under different error conditions.

[0008] Further preferably, the improved social force model comprises:

[0009]

[0010] wherein m i represents the mass of pedestrian i; v i represents the velocity of pedestrian i; represents the self-driving force of pedestrian; f i，j represents the interaction force between pedestrians; f iw represents the interaction force between pedestrians and obstacles; f 倾 represents the additional force of personnel in inclined posture.

[0011] Further preferably, the evacuation behavior simulation of the agent through the agent model comprises:

[0012] Behavior decision:

[0013] Action i = f(State i , Environment i );

[0014] wherein Action i represents the behavior of agent i; f() represents the functional relationship between the behavior of agent and the internal state and external environment; State i represents the internal state of agent i; Environment i represents the external environment in which agent i is located;

[0015] Interaction between agents:

[0016] Interaction ij = f(Agent i , Agent j );

[0017] wherein Interaction ij represents the interaction between agent i and agent j; Agent i represents the state and behavior of agent i; Agent j represents the state and behavior of agent j;

[0018] Interaction between agent and environment:

[0019] Environment i (t+1) = f(Environment i (t), Action i (t));

[0020] wherein Environment i (t+1) represents the state of the environment at time t+1; Environment i (t) represents the state of the environment at time t; Action i (t) represents the action of agent i at time t.

[0021] The application also provides a composite inclined posture wide-body passenger aircraft personnel emergency evacuation simulation system, comprising:

[0022] a model building module, configured to build a wide-body passenger aircraft physical simulation model and set an agent in the wide-body passenger aircraft physical simulation model;

[0023] a simulation module, configured to perform personnel emergency evacuation simulation under a composite inclined posture based on the improved social force model, the agent model and the wide-body passenger aircraft physical simulation model.

[0024] Further preferably, in the process of building the wide-body passenger aircraft physical simulation model, the wide-body passenger aircraft physical simulation model is built based on real parameters of a real wide-body passenger aircraft cabin, and Monte Carlo simulation is adopted to output minimum safety interval standards and airspace capacity under different error conditions.

[0025] Further preferably, the improved social force model comprises:

[0026]

[0027] wherein m i represents the mass of pedestrian i; v i represents the speed of pedestrian i; represents the self-driving force of the pedestrian; f i，j represents the interaction force between pedestrians; f iw represents the force between the pedestrian and the obstacle; f 倾 represents the additional force of the personnel under the inclined posture.

[0028] Further preferably, the agent performs evacuation behavior simulation through the agent model, comprising:

[0029] behavior decision:

[0030] Action i =f(State i , Environment i );

[0031] wherein Action i represents the action of agent i; f() represents a functional relationship between the agent action and the internal state and the external environment; Statei represents the internal state of the agent i; Environment i represents the external environment in which the agent i is located;

[0032] Interaction between agents:

[0033] Interaction ij = f(Agent i , Agent j ) ;

[0034] In the formula, Interaction ij represents the interaction between the agent i and the agent j; Agent i represents the state and behavior of the agent i; Agent j represents the state and behavior of the agent j;

[0035] Interaction between agent and environment:

[0036] Environment i (t+1) = f(Environment i (t), Action i (t)) ;

[0037] In the formula, Environment i (t+1) represents the state of the environment at time t+1; Environment i (t) represents the state of the environment at time t; Action i (t) represents the behavior of the agent i at time t.

[0038] Compared with the prior art, the beneficial effects of the present application are:

[0039] The present application comprehensively considers the reality of simulation, and constructs a simulation model for the emergency evacuation of passengers in the cabin of a wide-body passenger aircraft (B787) in a combined tilt attitude of roll tilt and pitch tilt. BRIEF DESCRIPTION OF DRAWINGS

[0040] In order to more clearly illustrate the technical solutions of the present application, the drawings needed in the embodiments are briefly introduced as follows. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor on the basis of these drawings.

[0041] Figure 1A schematic diagram of personnel rate change rate for an embodiment of the present application;

[0042] Figure 2 A schematic diagram of different event evacuation personnel in two tests for an embodiment of the present application;

[0043] Figure 3 A schematic diagram of test data versus simulation test data for an embodiment of the present application;

[0044] Figure 4 A schematic diagram of average evacuation time for an embodiment of the present application;

[0045] Figure 5 A schematic diagram of evacuation time change rate for an embodiment of the present application;

[0046] Figure 6 A schematic diagram of congestion times for an embodiment of the present application;

[0047] Figure 7 A schematic diagram of personnel density change for each exit under different inclined postures for an embodiment of the present application. DETAILED DESCRIPTION

[0048] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of the present application.

[0049] In order to make the above-mentioned purposes, features and advantages of the present application more obvious and easy to understand, the present application will be further described in detail below with reference to the drawings and specific embodiments.

[0050] Embodiment one:

[0051] The embodiment discloses a composite inclined posture wide-body passenger plane personnel emergency evacuation simulation method, comprising the following steps:

[0052] S1, a wide-body passenger plane physical simulation model is built, and an intelligent agent is set in the wide-body passenger plane physical simulation model.

[0053] The embodiment is built based on the real parameters of the Boeing 787 wide-body passenger cabin, and a Boeing 787 physical model in simulation is built in proportion based on the full-size plan of the Boeing 787 passenger cabin combined with the actual internal environment of the passenger cabin, using a mixed passenger cabin layout of business class and economy class. The model built includes seat position, density, distribution, etc.; the specific position, number, and size of the cabin door; the width of the aisle between seats, the position of the bathroom, the kitchen, and other factors. At the same time, the size of each factor is set in proportion to the real proportion of the passenger cabin. Based on the seat layout chart of the B787 passenger cabin released by Boeing, 237 seats are planned to be set, and 10 crew positions are set on this basis. Then, Monte Carlo simulation is used to output the minimum safety interval standard and airspace capacity under different error conditions, which together determine the safety and efficiency indicators.

[0054] The agent is the "person" in the simulation model, which is the main body to implement the emergency evacuation process. The agents are divided into young men, young women, old men and old women in different proportions, and the population of different genders and age groups is set according to the relevant provisions of the proportion of personnel type composition in the Airworthiness Regulations CCAR25. In this embodiment, young people account for 65%, and old people account for 35%. Among them, young men account for 40%, and young women account for 25%; old men account for 20%, and old women account for 15%. Among them, the physiological data such as height and shoulder width of different personnel are further set according to "Chinese Adult Human Body Size" combined with "China Residents Nutrition and Chronic Disease Status Report (2020)". This parameter setting method which is more in line with the changes in the body shape of Chinese people can make the simulation more realistic, and the simulation data obtained by the research has more realistic reference significance. In this embodiment, young men are set to [0.330m, 0.442m], old men are set to [0.330m, 0.415m]; young women are set to [0.304m, 0.423m], and old women are set to [0.304m, 0.387m].

[0055] S2, based on the improved social force model, the agent model and the wide-body aircraft physical simulation model, simulate the emergency evacuation of personnel in a complex inclined posture.

[0056] On the basis of the successful establishment of the physical model, the logical process of emergency evacuation is built. In the Anylogic simulation software, PedSource, PedGoTo, PedWait, PedService and PedSink modules are used to simulate the process of passengers entering the plane, sitting down, quickly finding the exit after hearing the evacuation order, and successfully evacuating. PedSource is the process of passengers entering the plane from the entrance of the cabin; PedGoTo is the process of passengers entering the plane to find their seats; PedWait is the process of passengers finding their seats and sitting down to wait; PedWait can realize the hesitation of passengers in panic after hearing the evacuation order; PedGoTo is the process of passengers starting to act and begin to evacuate to find the exit; PedSink represents the successful evacuation of passengers, which is shown in the model as leaving the plane and leaving the cabin from the exit; the social distance between agents ensures the reality of the model. Among them, PedSource is planned to be set at the fixed entrance to simulate passenger boarding; PedGoTo module is used to simulate the process of passengers finding seats and sitting down to wait by adding a random function and PedWait; after hearing the evacuation order, PedGoTo can be used to simulate the evacuation path of passengers and the hesitation of choosing the path due to panic; PedService can simulate the guidance and help of cabin crew to the emergency evacuation of passengers in the cabin; finally, PedSink is set at the emergency evacuation door to simulate the successful evacuation of passengers.

[0057] The social force model is a pedestrian motion simulation model based on Newtonian dynamics, which simulates the motion behavior of pedestrians in space by abstracting the motivation and influencing factors of pedestrian motion as various forces. The social force model is composed of three basic forces, as follows:

[0058]

[0059] In the formula, m i represents the mass of pedestrian i; v i represents the speed of pedestrian i; represents the self-driving force of the pedestrian; f i,j represents the interaction force between pedestrians; f iw represents the force between the pedestrian and the obstacle.

[0060] The evacuation of passengers in the cabin can be realized by the self-driving force of pedestrians. The self-driving force of pedestrians can reflect the internal driving force generated by pedestrians to achieve a certain goal (reach the destination). Its specific expression is as follows:

[0061]

[0062] In the formula, denotes the desired speed of the pedestrian i; v i (t) denotes the current speed of the pedestrian i; t i is a time constant, which denotes the time for the pedestrian i to reach the desired speed.

[0063] The passengers in the cabin will be crowded in order to evacuate as soon as possible. The crowd between people can be realized by f ij , and the force between people and obstacles that hinder evacuation can be realized by f iw . The specific expression is as follows:

[0064]

[0065] In the formula, A i , A w respectively denote the strength coefficient of the interaction force and the strength coefficient of the interaction force between the pedestrian and the obstacle; B i , B w respectively denote the attraction range and the range parameter of the force; r ij , r iw respectively denote the distance between the pedestrian i and the pedestrian j and the distance between the pedestrian i and the obstacle; b j denotes the body radius of the pedestrian j; r ij denotes the vector between the pedestrian i and the pedestrian j; sign(v ij ) is a sign function, which is used to indicate whether the interaction force between the pedestrian i and the pedestrian j is attractive or repulsive; denotes the desired distance between the pedestrian i and the obstacle; r iw denotes the vector between the pedestrian i and the obstacle.

[0066] The above formula is only applicable to the related research in the horizontal posture, and additional force of the personnel in the inclined posture needs to be added for the inclined condition. The improved social force model includes:

[0067]

[0068] In the formula, f 倾 denotes the additional force of the personnel in the inclined posture.

[0069] In the formula, f 倾 = m i g sin (a) e α , (6)

[0070] In the formula, a denotes the specific angle size of the body inclination; e α denotes the component direction of the gravity on the inclined plane.

[0071] This embodiment sets the tilt angle to the roll angle of ±15 degrees, which has the greatest impact on passenger emergency evacuation. Based on the roll angle of ±15 degrees and the influence of different pitch angles on the evacuation speed of personnel, the influence of different complex tilt angles on the emergency evacuation speed of personnel in the cabin under the combined action of roll and pitch is studied. Based on the relevant test data of the Aviation Institute, the speed change rate is obtained as shown in Figure 1 According to the speed change rate, the speed of the agent in the simulation model can be set accordingly.

[0072] An agent model is an artificial intelligence system that can perceive the environment, make decisions, and perform autonomous actions. By adding an agent model to the Anylogic simulation software and improving the setting parameters of the agent, the behavior of individuals in the simulation model can be more realistically simulated. In the simulation modeling, the agent is mainly used to realize the evacuation behavior of real personnel in the real environment through behavior decision-making, interaction between agents, and interaction between agents and the environment.

[0073] The behavior of an agent is usually determined by its internal state and external environment, and its behavior decision-making expression is as follows:

[0074] Action i =f(State i ,Environment i ); (7)

[0075] In the formula, Action i represents the behavior of agent i; f() represents the function relationship between the behavior of the agent and the internal state and external environment; State i represents the internal state of agent i; Environment i represents the external environment in which agent i is located.

[0076] In the simulation test, the agent model also realizes the interaction between people and the interaction between people and obstacles in the surrounding environment:

[0077] Interaction ij =f(Agent i ,Agent j ); (8)

[0078] In the formula, Interaction ij represents the interaction between agent i and agent j; Agent i represents the state and behavior of agent i; Agent j represents the state and behavior of agent j.

[0079] Interaction of the agent with the environment:

[0080] Environment i (t+1) = f(Environment i (t), Action i (t)); (9)

[0081] wherein Environmenti ( t+1) represents the state of the environment at time t+1; Environment i (t) represents the state of the environment at time t; and Action i (t) represents the action of the agent i at time t.

[0082] Example Two:

[0083] This example is through the development of 30 people randomly sitting in the cabin local position simulation test 50 times, the simulation test data to average value and a flight evacuation test data comparison, as shown in Figure 2 ; simulation data and evacuation test data comparison see Figure 3 .

[0084] The mean square error (MSE) is used to analyze the error of the simulation data and the evacuation test data, and the specific formula is as follows:

[0085]

[0086] wherein y i is the number of test evacuees, is the number of simulation evacuees, and n is the number of data points.

[0087] The mean square error is 0.23, which is within the confidence interval. The simulation evacuation curve is consistent with the test evacuation curve, and the degree of agreement is high. Therefore, the simulation model is effective.

[0088] Example Three:

[0089] According to the demonstration criteria requirements of airworthiness regulations, only 50% of the emergency exits can be opened in evacuation. The emergency evacuation test in the cabin will open four emergency doors on the same side as the exit.

[0090] Referring to the personnel evacuation test under the inclined attitude of the cabin, 7 simulation tests are carried out under the inclined attitude of the cabin, and the personnel are evacuated from the 4 exit doors on the same side. Each group carries out 50 random seed tests. The specific simulation test setting is shown in Table 1.

[0091] Table 1

[0092]

[0093] The simulation results show that evacuation time and congestion are two important factors affecting the evacuation efficiency.

[0094] (1) Evacuation time:

[0095] The average evacuation time is shown in Table 2. Figure 4 To make the influence of each inclined posture on the evacuation time more intuitive, the evacuation time of Group 4 is taken as the benchmark to measure the evacuation time change rate of other postures. The specific situation is shown in Table 3. Figure 5

[0096] Combining the positive angle pitch is not conducive to the evacuation effect; combining the smaller negative angle pitch is more conducive to the overall evacuation effect, and too large negative angle is also not conducive to the evacuation result. When combining the same angle pitch, the negative angle is more conducive to the overall evacuation than the positive angle.

[0097]

[0098] The evacuation time of Group 3 is the shortest, which is 87.2 s, and the evacuation time change rate is the best, which is 5.01%; the evacuation time of Group 7 is the longest, which is 93.8 s, and the evacuation time change rate is the worst, which is -2.18%. The results of Group 5 to Group 7 are not conducive to the overall evacuation efficiency; the evacuation effect of Group 2 and Group 3 is completely opposite to that of Group 1, and Group 1 is obviously better than Group 7.

[0099] (2) Congestion frequency:

[0100] The congestion frequency in the personnel emergency evacuation in the simulation experiment is shown in Table 4. Figure 6 The congestion is defined as the personnel density ≥ 4 people per square meter. The congestion frequency is calculated by multiplying the total value of the personnel density by the corresponding percentage.

[0101] Too large pitch angle will cause the personnel to receive a large force, making it difficult to control the evacuation direction and speed, and obvious congestion will occur; when combining large roll angle with positive pitch angle, the personnel will have to resist the horizontal force while climbing the slope during evacuation, and the number of times of adjusting the direction and speed during the evacuation process will increase significantly, and the number of times of adjustment is positively correlated with the congestion frequency.

[0102] The congestion frequency of Group 6 is the least, which is 1011 times; the congestion frequency of Group 3 is the most, which is 1245 times. Except for Group 3 and Group 6, the congestion frequency under different inclined postures is positively correlated with the average evacuation time. The evacuation time of Group 3 is the shortest, but the congestion frequency is the most and is significantly negatively correlated with the average evacuation time.

[0103] ​The passengers in the cabin are subjected to gravity components in both horizontal and vertical directions, and the combined force and acceleration are also different according to different inclination angles. In the inclination of group 3, the combined force and acceleration are the most beneficial to personnel evacuation. When combined with large-angle pitching, congestion is obvious, and groups 1 and 7 both appear obvious congestion.

[0104] Example Four

[0105] When the passengers in the cabin are in different inclined postures for emergency evacuation, the gravity components will be different due to different inclination angles, which will further cause different degrees of influence on the passengers during evacuation. Monitoring and analyzing the personnel density at the exit can visualize the congestion of the passengers during evacuation, and can provide data support for the selection of exit safety and provide optimization possibilities. The personnel density changes of each exit under different inclined postures are shown in Figure 7

[0106] (1) Degree of smoothness of the exit:

[0107] When the pitch inclination angle is too large, it will affect the speed of personnel reaching the exit, further exacerbating the congestion of personnel, and affecting the overall evacuation time.

[0108] Among them, the personnel density of the outermost curve exit 3 has a large change range and obvious fluctuations, and the number of congestion during evacuation increases rapidly, and only decreases significantly after 75s. The reason for this situation may be that the personnel have a crowd gathering psychology in the selection of exit during evacuation. The intelligent agent in the model is set to select the nearest exit, and the phenomenon still occurs at exit 3. Therefore, the personnel evacuation congestion is analyzed by the personnel density curve of exit 3.

[0109] Compared with group 4, the personnel density peak values of groups 1 and 2 appear in the middle and late stages. The personnel density peak values of groups 3, 5 and 6 appear in the early stage, which is consistent with group 4 in time, but group 6 appears high-density continuous dense fluctuations in the middle and late stages. The personnel density peak value of group 7 appears in the middle and late stages, and high-density dense fluctuations appear from the early stage to the late stage of evacuation. Compared with group 4, group 7 has a continuous dense fluctuation for a period of time at the personnel density peak value in the middle and late stages.

[0110] When combined with small-angle pitching, it has little effect on the congestion of personnel at the exit, and when combined with large-angle pitching of 10 degrees or more, it will cause obvious congestion in the middle and late stages of evacuation, and the larger the angle, the more severe the congestion.

[0111] (2) Personnel density at the exit:

[0112] Exit safety analysis needs to be further analyzed based on the personnel density values of each exit under different inclined postures, and the specific personnel density data of the exit is shown in Table 2.

[0113] ​1) Exit 1: The average density of Group 2 is the largest, which is 1.60, and the density peaks of each group mostly appear at the position of 11s.

[0114] 2) Exit 2: The average densities of Group 2 and Group 3 are 9.09 and 9.22 respectively, which are greater than the average densities of Group 4 to Group 7, which are 8.84, 8.64, 8.22 and 8.32 respectively.

[0115] 3) Exit 3: The average density of Group 3 is the largest, which is 15.86, and the densities of Group 5 and Group 6 are the smallest, which are 14.38 and 14.53 respectively.

[0116] 4) Exit 4: The average density of Group 4 is the largest, which is 7.01, and the average densities of Group 5 to Group 7 are 5.94, 6.14 and 6.73 respectively. The average density increases with the increase of the pitch angle. This situation may be due to the influence of the pitch slope on the evacuation of personnel, resulting in the combined force of the gravity component acting on the personnel, and congestion occurs.

[0117] During the evacuation process, the evacuation pressure of personnel at Exit 3 is the largest due to the dense arrangement of seats on both sides of Exit 3 and the high density of personnel. The congestion at Exit 3 is obvious compared to other exits. Ensuring the smooth opening of Exit 3 is the fundamental to guarantee the efficiency of personnel evacuation. Reducing the pressure on Exit 3 in real situations can improve the overall evacuation efficiency.

[0118] Table 2

[0119]

[0120] Example Five

[0121] The embodiment provides a kind of composite tilt posture wide-body passenger plane personnel emergency evacuation simulation system, comprising: model building module, for building wide-body passenger plane physical simulation model, and in the wide-body passenger plane physical simulation model, agent setting;Simulation module, for carrying out personnel emergency evacuation simulation under composite tilt posture based on improved social force model, agent model and the wide-body passenger plane physical simulation model.

[0122] Further implementation is that, in the process of building the wide-body passenger plane physical simulation model, the real parameters of the real wide-body passenger plane cabin are used to build the wide-body passenger plane physical simulation model, and Monte Carlo simulation is used to output the minimum safety interval standard and airspace capacity under different error conditions, which jointly determine the safety and efficiency indicators.

[0123] Further implementation is that, the improved social force model includes:

[0124]

[0125] In the formula, m i represents the mass of pedestrian i;v ivi represents the velocity of pedestrian i; fi represents the self-driving force of pedestrian i; i,j fij represents the interaction force between pedestrians i and j; iw fi,obst represents the interaction force between pedestrian i and obstacle; 倾 fi,tilt represents the additional force on pedestrian i in tilted posture.

[0126] Further implementation is that the agent performs evacuation behavior simulation through the agent model, including:

[0127] Behavior decision:

[0128] Action i = f(State i , Environment i ); (13)

[0129] In the formula, Action i represents the behavior of agent i; f() represents the functional relationship between the behavior of the agent and the internal state and the external environment; State i represents the internal state of agent i; Environment i represents the external environment in which agent i is located.

[0130] Interaction between agents:

[0131] Interaction ij = f(Agent i , Agent j ); (14)

[0132] In the formula, Interaction ij represents the interaction between agent i and agent j; Agent i represents the state and behavior of agent i; Agent j represents the state and behavior of agent j.

[0133] Interaction between agent and environment:

[0134] Environment i (t+1) = f(Environment i (i), Action i (t)); (15)

[0135] In the formula, Environment i (t+1) represents the state of the environment at time t+1; Environment i (t) represents the state of the environment at time t; Action i(t) denotes the behavior of agent i at time t.

[0136] The above embodiments are only used to describe the preferred modes of the present application, and are not used to limit the scope of the present application. Without departing from the design spirit of the present application, various modifications and improvements made by those skilled in the art to the technical solutions of the present application shall fall within the protection scope of the present application.

Claims

1. A simulation method for emergency evacuation of personnel from a composite tilt-attitude wide-body passenger aircraft, characterized in that, The method comprises the following steps: S1, a wide-body aircraft physical simulation model is built, and an agent is set in the wide-body aircraft physical simulation model; S2, personnel emergency evacuation simulation under a compound inclined body posture is performed based on an improved social force model, an agent model, and the wide-body aircraft physical simulation model.

2. The simulation method according to claim 1, wherein, In S1, a wide-body aircraft physical simulation model is built according to real parameters of a real wide-body aircraft cabin, and Monte Carlo simulation is adopted to output minimum safety interval standards and airspace capacity under different error conditions.

3. The method according to claim 1, wherein, The improved social force model comprises: where m i represents the mass of the pedestrian i; v i represents the velocity of the pedestrian i; f i 0 represents the self-driving force of the pedestrian; f i,j represents the interaction force between pedestrians; f iw represents the interaction force between the pedestrian and the obstacle; f 倾 represents the additional force of the person in the inclined posture.

4. The method of claim 1, wherein, The agent performs evacuation behavior simulation through the agent model, which comprises: behavior decision: Action i = f(State i , Environment i ); In the formula, Action i represents the behavior of the agent i; f() represents a functional relationship between the agent behavior and the internal state and the external environment; State i represents the internal state of the agent i; Environment i represents the external environment in which the agent i is located; interaction between agents: Environment ij = f(Agent i , agent j ); where Interaction ij represents the interaction between agent i and agent j; Agent i represents the state and behavior of agent i; Agent j represents the state and behavior of agent j; interaction between the agent and the environment: environment i (t+1) = f(Environment i (t), Action i (t)); where Environment i (t + 1) denotes the state of the environment at time t + 1; Environment i (t) denotes the state of the environment at time t; Action i (t) denotes the action of agent i at time t.

5. A composite tilt-posed wide-body passenger aircraft personnel emergency evacuation simulation system for implementing the method of any one of claims 1-4, characterized in that, comprise: a model building module, configured to build a wide-body aircraft physical simulation model and set an agent in the wide-body aircraft physical simulation model; a simulation module, configured to perform personnel emergency evacuation simulation under a compound inclined body posture based on an improved social force model, an agent model, and the wide-body aircraft physical simulation model.

6. The composite tilt-posed wide-body passenger aircraft crew emergency evacuation simulation system of claim 5, wherein, In the process of building the wide-body aircraft physical simulation model, a wide-body aircraft physical simulation model is built according to real parameters of a real wide-body aircraft cabin, and Monte Carlo simulation is adopted to output minimum safety interval standards and airspace capacity under different error conditions.

7. The personnel emergency evacuation simulation system of a wide-body passenger aircraft in a complex banked attitude according to claim 5, wherein, The improved social force model comprises: where m i represents the mass of the pedestrian i; v i represents the velocity of the pedestrian i; f i 0 represents the self-driving force of the pedestrian; f i,j represents the interaction force between pedestrians; f iw represents the interaction force between the pedestrian and the obstacle; f 倾 represents the additional force of the person in the inclined posture.

8. The personnel emergency evacuation simulation system of a wide-body passenger aircraft in a complex banked attitude according to claim 5, wherein, The agent performs evacuation behavior simulation through the agent model, which comprises: behavior decision: Action i = f(State i , Environment i ); In the formula, Action i represents the behavior of the agent i; f() represents a functional relationship between the agent behavior and the internal state and the external environment; State i represents the internal state of the agent i; Environment i represents the external environment in which the agent i is located; interaction between agents: Interaction ij = f(Agent i , agent j ); where Interaction ij represents the interaction between agent i and agent j; Agent i represents the state and behavior of agent i; Agent j represents the state and behavior of agent j; interaction between the agent and the environment: environment i (t+1) = f(Environment i (t), Action i (t)); where Environment i (t + 1) represents the state of the environment at time t + 1; Environment i (t) represents the state of the environment at time t; Action i (t) represents the action of agent i at time t.

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