Airport terminal resilience analysis method considering redundancy

Abstract

The application discloses an airport terminal operation resilience analysis method considering redundancy, comprising the following steps: recording actual passenger flow entering a terminal system and passenger flow leaving a terminal in real time; constructing a terminal system function level index; calculating a system function loss index of the terminal system and an operation resilience index of the system respectively; and predicting a reasonable security channel number before a sudden event occurs.The application proposes an operation resilience evaluation method of a terminal system based on the change characteristics of the terminal system function level in a sudden event disturbance. An Anylogic-based terminal operation simulation model is established to analyze the influence of redundancy on the operation resilience of the terminal system, analyze the influence of the redundancy change caused by the number of security channel failures, the failure duration and the recovery measure strength on the operation resilience of the terminal system, and provide a basis for improving the operation capacity of an airport terminal.

Description

TECHNICAL FIELD

[0001] The present application relates to a method for analyzing the operation resilience of an airport terminal, in particular a method for analyzing the operation resilience of an airport terminal considering redundancy. BACKGROUND

[0002] The resilience of the operation of a terminal system is a research direction that has attracted much attention. At present, the research on resilience mainly focuses on the resistance (the ability of a system to resist disturbances without easily changing its state or losing its function), robustness (the ability of a system to maintain its normal function, such as operation capacity, when it is subjected to external disturbances), and recovery (the ability of a system to recover to a normal state after being subjected to disturbances, including structure, function, etc.) of the system. Numerous studies have carried out a lot of work in improving the structure of the system, optimizing the process, and standardizing the behavior, with the aim of improving the resilience of the system. System redundancy can provide additional support to the system. When the system is subjected to various disturbances (such as sudden equipment failure, natural disasters, and man-made incidents), redundancy can enable the system to maintain its original function level or at least ensure that the function level will not be significantly reduced. However, in these studies, the role of system redundancy has not been fully explored. SUMMARY

[0003] The purpose of the present application is to provide a method for analyzing the operation resilience of an airport terminal considering redundancy, which can improve the operation capacity of an airport terminal.

[0004] The method for analyzing the operation resilience of an airport terminal considering redundancy of the present application comprises the following steps:

[0005] Step 1: Real-time record the actual passenger flow entering the terminal system and the passenger flow departing from the terminal;

[0006] Step 2: Construct the function level index of the terminal system: use the terminal passenger data recorded in step 1 at each time to calculate the ratio of the number of passengers departing from the terminal to the number of passengers entering the terminal within a certain time interval as the function level index of the terminal system, and the specific formula is as follows:

[0007]

[0008] In the formula, P(t) is the function level function of the system, reflecting the function level state of the system under normal conditions and sudden events; t is the time; x is the interval time; q dep (t) is the number of passengers departing from the terminal at time t; represents the sum of the number of passengers departing from the terminal from time t-x to time t; q arr (t) is the number of passengers entering the terminal system at time t; The sum of the number of passengers arriving at the terminal system from t-x to t;

[0009] Step three, based on the terminal system function level index function in step two, respectively calculating the system function loss index of the terminal system and the operation resilience index of the system;

[0010] Terminal system function level loss index Q los The calculation formula is as follows:

[0011]

[0012] In the formula, P0 represents the system function level obtained according to step two when the system is normally operated; P(t) is the system function level obtained according to step two after the system is disturbed by the sudden event; t s Indicates the starting time of the sudden event disturbance; t'0 indicates the time when the new stable state P0' is reached;

[0013] Operation resilience index R:

[0014]

[0015] In the formula, t s Indicates the starting time of the sudden event disturbance; P0 represents the system function level obtained according to step two when the system is normally operated; t'0 indicates the time when the new stable state is reached; P(t) is the system function level function obtained according to step two after the system is disturbed by the sudden event; Indicates the area of the system function level in the time interval from the time when the system is disturbed by the sudden event t s to the time when the new stable state t'0 is reached;

[0016] Step four, input the predicted passenger flow entering the terminal system into the terminal passenger departure process simulation model, before the terminal system occurs the sudden event, set the security check process module in the Anylogic simulation software as the sudden event disturbance module, set the number of security check channels as an initial value, simulate and run, calculate the system function level P(t), the system function loss index Q los and the operation resilience R of the terminal system according to steps two and three, if the system function level P(t), the system function loss index Q los and the operation resilience R of the terminal system cannot reach the expected value, then adjust the initial value of the number of security check channels, until the system function level P(t), the system function loss index Q los and the operation resilience R of the terminal system can reach the expected value, at this time, the number of security check channels is the final required number of security check channels.

[0017] The present application has the advantages of:

[0018] The present application is based on the change characteristics of the function level of the terminal building system in the emergency disturbance, and proposes an operation resilience evaluation method of the terminal building system. An Anylogic-based terminal building operation simulation model is established to analyze the influence of redundancy on the operation resilience of the terminal building system, and analyze the influence of the redundancy change caused by the number of security channel failures, failure duration, and recovery measure strength on the operation resilience of the terminal building system, thereby providing a basis for improving the operation capacity of the airport terminal building. BRIEF DESCRIPTION OF DRAWINGS

[0019] The accompanying drawings, which are incorporated into and form part of the specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the disclosure.

[0020] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure or the prior art, the drawings required to be used in the embodiments or prior art description will be briefly introduced as follows. Obviously, for those skilled in the art, other drawings can also be obtained based on these drawings without creative labor.

[0021] Figure 1 is the function level curve of the terminal building system when the redundancy is insufficient;

[0022] Figure 2 is the function level curve of the terminal building system when the redundancy is sufficient;

[0023] Figure 3 is the physical model of the passenger departure process simulation;

[0024] Figure 4 is the logic model of the passenger departure process simulation;

[0025] Figure 5 is the operation capacity diagram of the terminal building system;

[0026] Figure 6 is the system function level curve when the passenger arrival flow is the system saturation flow and the number of security channels is different;

[0027] Figure 7 is the system function level curve when the redundancy is insufficient and the number of security channel failures is different;

[0028] Figure 8 is the system function level curve when the redundancy is sufficient and the number of security channel failures is different;

[0029] Figure 9 is the system function level curve when the redundancy is insufficient and the failure duration of the security channel is different;

[0030] Figure 10The system function level curve with redundancy under different failure time lengths of the security check channel;

[0031] Figure 11 The system function level curve with insufficient redundancy under different recovery measure intensities;

[0032] Figure 12 The system function level curve with redundancy under different recovery measure intensities. DETAILED DESCRIPTION

[0033] In order to enable a more complete understanding of the above-mentioned objects, features and advantages of the present disclosure, the schemes of the present disclosure will be further described below.It should be noted that the embodiments of the present disclosure and the features in the embodiments can be combined with each other without conflict.

[0034] In the following description, a large number of specific details are set forth in order to facilitate a thorough understanding of the technical solutions of the present disclosure, but the technical solutions of the present disclosure can also be implemented in other manners different from those described herein;Obviously, the embodiments described in the specification only constitute a part of the embodiments of the present disclosure, and not all the embodiments.

[0035] Embodiments of the present application are intended to cover all such alternatives, modifications and variations falling within the broad scope of the appended claims.The present application is intended to cover any variations, modifications, equivalent replacements, improvements, etc., as long as they fall within the spirit and principles of the present application.

[0036] The airport terminal operation resilience analysis method considering redundancy of the present application comprises the following steps:

[0037] Step one, record the actual passenger flow entering the terminal system and the departure passenger flow in real time, and the specific process is as follows:

[0038] Step 101, based on the Anylogic simulation software, establish a passenger departure process simulation model of the terminal system and set data, then perform simulation operation to obtain the operation capacity of the terminal system, and the operation capacity is subject to Possion(λ) process;

[0039] Step 102, modify the data setting in step 101, repeatedly repeat step 101, and then obtain the maximum operation capacity of the terminal system from it;

[0040] Step 103, set the passenger flow arrival model in Anylogic simulation software to the maximum operating capacity of the terminal system, and then set the number of security channels in the security process module in Anylogic simulation software to two cases of no redundancy (referring to the number of security channels when the number of security channels is less than the maximum operating capacity of the system) and redundancy (referring to the number of security channels when the number of security channels is more than the maximum operating capacity of the system);

[0041] Step 104, set the normal condition module in the security process module in Anylogic simulation software, and then perform the following recording process: dynamically input the information of passengers entering the terminal system in real time into Anylogic simulation software for running simulation, and Anylogic simulation software records the actual passenger flow entering the terminal system and the departure passenger flow in real time, the departure passenger flow refers to the departure passenger flow after the passengers go through the check-in, security and other processes; in this process, if a sudden event occurs in the terminal system, the normal condition module is modified to a sudden event disturbance module, the sudden event disturbance duration is set, after the disturbance is over, the recovery measures are taken to restore the normal condition, and then the sudden event disturbance module is modified to the normal condition module again; the sudden event state refers to the security channel failure, and the security channel failure is related to the number of security channel failures, the failure duration and the number of security channels restored to normal after repair.

[0042] The data setting in the terminal passenger departure process simulation model can be performed by the following steps:

[0043] Select the passenger flow arrival model in Anylogic simulation software and set it to Possion(λ) process, where λ is the number of passengers entering the terminal within a certain time;

[0044] Select the check-in, security and other process modules contained in the passenger departure process simulation model after entering the terminal in Anylogic simulation software, the selection of data in each module can be obtained according to actual statistics or historical data. Specifically, the check-in service module is divided into self-service check-in module, including whether to self-service check-in and self-service check-in duration; manual counter check-in service module, including counter check-in duration, whether to check baggage, check baggage duration, ticket taking duration, whether the baggage is overweight or prohibited, and overweight or prohibited baggage handling duration.

[0045] The security process module can set the verification boarding pass and certificate duration, luggage arrangement duration, passenger security duration, whether the luggage is opened, luggage re-security duration, and luggage retrieval duration.

[0046] Step two, constructing the terminal system function level index: using the terminal passenger data recorded in step one to calculate the ratio of the number of passengers leaving the terminal to the number of passengers entering the terminal in a certain time interval as the terminal system function level index, the specific formula is as follows:

[0047]

[0048] In formula (1), P(t) is the system function level function, reflecting the system function level state under normal conditions and under the influence of emergencies; t is time; x is interval time; q dep (t) is the number of passengers leaving the terminal at t; represents the sum of the number of passengers leaving the terminal from t-x to t; q arr (t) is the number of passengers entering the terminal system at t; represents the sum of the number of passengers arriving at the terminal system from t-x to t.

[0049] Step three, based on the terminal system function level index function in step two, the system function loss index and the system running resilience index of the terminal system are calculated respectively, and the system running resilience index is the resistance, robustness and recovery shown under the influence of emergencies.

[0050] The terminal system function level loss represents the difference between the system performance after the system is disturbed by an emergency and the system function level area when the system is normally running. The terminal system function level loss index Q los The calculation formula is as follows:

[0051]

[0052] In the formula, P0 represents the system function level obtained according to step two when the system is normally running; P(t) is the system function level obtained according to step two after the system is disturbed by an emergency; t s represents the time when the emergency disturbance starts; t'0 represents the time when the new stable state P0' is reached.

[0053] The running resilience index R is:

[0054]

[0055] In the formula, R reflects the influence degree of the emergency disturbance on the running resilience of the terminal system; t s represents the time when the emergency disturbance starts; P0 represents the system function level obtained according to step two when the system is normally running; t'0 represents the time when the new stable state is reached; P(t) is the system function level function obtained according to step two after the system is disturbed by an emergency; represents the time when the system is disturbed by an emergencys the area of the system function level in this time interval when the new steady state is reached at time t'0.

[0056] When the airport system is disturbed by an emergency, the system function level suffers loss, showing resistance, robustness and recovery. When the system lacks redundancy, the system function level decreases, and when the system has redundancy, the system function level does not decrease or decreases less.

[0057] Step four, input the predicted passenger flow into the airport passenger departure process simulation model, before the airport system is disturbed by an emergency, set the security check process module in the Anylogic simulation software as an emergency disturbance module, set the number of security check channels as an initial value, simulate and run, and calculate the system function level P(t), the system function loss index Q los and the running resilience R of the airport system. If the system function level P(t), the system function loss index Q los and the running resilience R of the airport system cannot reach the expected value, adjust the initial value of the number of security check channels until the system function level P(t), the system function loss index Q los and the running resilience R of the airport system can reach the expected value, and the number of security check channels at this time is the final required number of security check channels.

[0058] If an emergency occurs in the system, this model can be used to deeply analyze the function performance of the airport system in the emergency, and further determine the number of security check channels that can make the airport system achieve the best performance under a specific emergency scenario. The determination of this number provides a key decision basis for the planning, design and emergency management of the airport. On the one hand, in the new construction or reconstruction project of the airport, according to the research results, the layout and number of security check channels can be reasonably planned to ensure that the airport system can maintain efficient and stable operation state whether in normal operation or in response to emergencies. On the other hand, in the emergency management plan, according to the best number of security check channels corresponding to different emergencies, resources can be more accurately allocated, the effectiveness of emergency response can be improved, and the running resilience and the ability to respond to emergencies of the entire airport system can be enhanced.

[0059] Figure 1 For the airport system lacking redundancy, the change rule of the function level P(t) with time under the disturbance of an emergency is that Figure 1 the P(t) curve does not decrease or decreases less under the disturbance of an emergency, as shown in Figure 2 . Among them, t0 is the time when the system is not disturbed, at this time the system function level fluctuates above and below P0, t s is the time of disturbance, and the system function level decreases to P minUp and down, t r When the system takes recovery measures, it reaches a new state P0' at t'0, which can be lower, equal or higher than P0.

[0060] The following is described with a specific embodiment:

[0061] Taking T1 terminal of a certain 100 million airport as an example for analysis, the terminal has an annual passenger throughput capacity of 15 million person-times, and the terminal has been in use for a long time, which is prone to equipment failure and affects the operation of the terminal. The basic information and process detailed parameters in the terminal are shown in Table 1:

[0062] Table 1 Basic information and process detailed parameters in the terminal

[0063]

[0064]

[0065] In Table 1, triangular(t1, t2, t3) represents a triangular distribution, where t1, t2, t3 are the minimum value, maximum value and mode of the passenger service time, which is linearly increased in the interval [t1, t3], and linearly decreased in the interval [t3, t2]; uniform(t4, t5) represents a uniform distribution, where t4, t5 are the minimum and maximum values of the passenger service time.

[0066] The detailed parameters of the passenger departure process in the terminal in Table 1 are used to establish a passenger departure process simulation model in software, the physical model is as shown in Figure 3 , and the logic model is as shown in Figure 4 .

[0067] Among them, is a module for a passenger arrival module, which generates pedestrians, and is usually used as the starting point of pedestrian flow, and can generate pedestrians of a custom pedestrian type with any flow intensity; is a judgment module, which guides the entering pedestrians into two different processes according to the specified conditions; is a service module, which simulates how pedestrians accept services at service points; is a splitting module, which creates a copy of the passenger luggage, and outputs the passenger and the luggage into two process modules respectively; is a queuing module, which queues the luggage to enter the X-ray security check; is a conveyor belt module; is a delay module, which can be used to represent the waiting of luggage, passengers, etc.; is a synchronization module, which synchronizes two passengers and luggage by matching pairs according to given conditions, and the agents that have not been matched are stored in two queues; is a passenger waiting module, in which passengers wait for boarding in the waiting area; Passengers are guided to the designated location for boarding, and the boarding service is completed; The end module, passengers depart, and the passengers are released.

[0068] The simulation runs for 20 hours from 4:00:00 to 0:00:00 the next day, and the passengers start boarding 40 minutes before the flight takes off.

[0069] The airport terminal passenger arrival obeys Possion(λ), where λ is the number of passengers entering the terminal within a certain time.

[0070] The maximum operating capacity of the subject terminal system is determined by continuously increasing the number of arriving passengers. The initial value of λ is set to 30, and the increment is 0.2. Passengers arrive at the terminal system, and the number of passengers output per unit time is recorded through simulation. The ratio of departing passengers to entering system passengers is used as the vertical coordinate, and λ is used as the horizontal coordinate to draw a curve as shown in Figure 5 .

[0071] According to Figure 5 , when λ≤35.8, the number of departing passengers / entering system passengers = 1.0, indicating that the terminal system has redundant capacity at this time, and the number of arriving passengers is lower than the maximum operating capacity of the terminal system; when λ>35.8, the number of departing passengers / entering system passengers <1.0, at this time the terminal system has no redundant capacity, and the number of arriving passengers exceeds the maximum operating capacity of the terminal system, resulting in queuing. At this time, the number of security channels is 13.

[0072] The arrival passenger flow is constant, and the total number of security channels is set to 11, 12, 13, 14, and 15, respectively. The change of system function level function P(t) with time is calculated using formula (1), as shown in Figure 6 .

[0073] From Figure 6 , when the number of security channels is less than 13, the security channels have no redundancy, P(t) is less than 1.0, queuing occurs, the curve fluctuates slightly, and the fewer the number of security channels, the smaller the system function level P(t); when the number of security channels is equal to or exceeds 13, P(t) fluctuates above and below 1.0, and the fluctuation amplitude becomes larger, which is due to the redundancy of security channels and the change of system passenger number with the number of arriving passengers. In summary, redundancy has a great impact on the function level of the terminal system. When the system has no redundancy, even if there is no disturbance, the system function level P(t) is also less than 1.0.

[0074] The impact of redundancy on the operational resilience of the terminal system is discussed by changing the number of security checkpoints. As analyzed above, the example terminal with 13 security checkpoints reaches its maximum operational capacity when arriving passengers comply with Possion (35.8). By changing the number of security checkpoint failures, the duration of security checkpoint failures, and the strength of recovery measures, the impact of redundancy on the operational resilience of the terminal system is analyzed.

[0075] The system assumes that arriving passengers follow the Possion (35.8) rule. Security checkpoints are set to 13 and 16 lanes respectively. With 13 security checkpoints, the system has no redundancy; with 16, the system has redundancy. The number of security checkpoint failures in both systems is set to 1, 2, 3, 4, and 5 lanes respectively. All failures occur in the 4th hour of the simulation and are fully restored after 2 hours. Based on the simulation data, the changes in the terminal system's functional level function P(t) are obtained using formula (1) as follows: Figure 7 , 8 As shown.

[0076] like Figure 7 As shown, the system has no redundancy when there are 13 security checkpoints. During normal operation, the system function level P0 fluctuates around 1.0; after a security checkpoint malfunctions, q... arr >q dep When security checks cause queues, the system function level P(t) decreases. As the number of security checkpoint failures increases, the degree of decline in the terminal system function level curve increases. After recovery measures are taken, the system function level P(t) recovers and fluctuates around 1.0, but the queues do not decrease.

[0077] like Figure 8 As shown, the system has redundancy when there are 16 security checkpoints. During normal operation, the system function level P0 fluctuates around 1.0. After a security checkpoint malfunctions, the system function level P(t) does not decrease or decreases less than when there is no redundancy. After recovery measures are taken, the system function level P(t) is greater than 1.0, and after queue reduction, the system function level P(t) returns to fluctuating around 1.0. In summary, when the system has no redundancy, the degree of decrease in system function level increases with the intensity of the disturbance, while when the system has redundancy, the system function level does not decrease or decreases less than when there is no redundancy.

[0078] Based on the function level curve, the operational resilience of the terminal system is analyzed, and the Q corresponding to the number of failures at different security checkpoints is obtained. los The R-value results are shown in Table 2.

[0079] Table 2 Q of the terminal system under different security checkpoint failure numbers los R value

[0080]

[0081] From Table 2, it can be seen that, in the case of no redundancy of security check channels, the system running resilience R of the terminal building decreases with the increase of the number of security check channel failures, and the system function loss Q los increases gradually. In the case of three redundant security check channels, when the total number of security check channel failures is less than or equal to three, the system running resilience R of the terminal building and the system function loss Q los have no obvious change, the R value is close to 1.0, and the Q los value is close to 0; when the total number of security check channel failures is greater than three, the system running resilience R of the terminal building decreases with the increase of the number of security check channel failures, and the system function loss Q los increases gradually.

[0082] The system passenger arrival obeys Possion (35.8), the total number of security check channels is 13 and 16, the number of security check channel failures is four, the failures occur at the fourth hour of simulation, and the failed channels are all recovered after 1, 2, 3 and 4 hours respectively. The change of the system function level function P(t) is shown in Figs. 9 and 10. It can be seen that, after the failures of the security check channels, q dep <q arr is generated, and the system function level P(t) decreases. In the case of no redundancy of security check channels, the degree of decrease of the system function level is irrelevant to the failure duration, but the duration of low-level operation of the system function increases with the increase of the failure duration; in the case of redundancy of security check channels, the degree of decrease of the system function level is smaller than that in the case of no redundancy, and after the recovery measures are taken, q dep> q arr , the system function level P(t) is greater than 1.0, the queued passengers gradually decrease, and finally the system function level P(t) fluctuates around 1.0.

[0083] The resilience in the two cases is evaluated by using formulae (2) and (3), and the results are shown in Table 3.

[0084] Table 3 Q los , R values of the terminal building under different failure durations

[0085]

[0086] It can be seen from Table 3 that Q losThe increase with the increase of disturbance length indicates that the passenger stay of the system increases with the increase of fault length. In the case of the same disturbance degree, the system operation resilience R value has no obvious relationship with the fault length, and the R value is larger in the case of system redundancy than in the case of no system redundancy. The R value has no obvious relationship with the fault length because t'0 is the time corresponding to the first time of reaching the new stable state P0' after taking the recovery measures, and the R value is the ratio of the areas of the system function levels P(t) in the fault and normal operation cases, which is a relative value.

[0087] The system passenger arrival obeys Possion (35.8), the total number of security channels is 13 or 16, the number of fault security channels is 2, the fault occurs at the fourth hour of simulation, the recovery measures are taken after 2h, one or two original fault security channels are recovered and one or two additional security channels are added, and the change of the system function level function P(t) is obtained through simulation data as shown in Figure 11 、 12 .

[0088] It can be known from Figure 12 that in the case of security channel redundancy and redundancy greater than the number of fault security channels, after the disturbance occurs, the system function level P(t) has no obvious change and still fluctuates around 1.0, maintaining stability.

[0089] It can be known from Figure 11 that in the case of no security channel redundancy, after the disturbance occurs, the system function level P(t) decreases, q dep <q arr , and the queuing phenomenon occurs. After 2h, different intensity recovery measures are taken. When the number of recovered security channels is less than 2, the system function level P(t) increases but is less than 1.0, that is, P0'<P0, the queuing passengers continuously increase but the increase speed decreases; when the number of recovered security channels is equal to 2, the system function level P(t) recovers to the original level 1.0, that is, P0'=P0, the queuing passenger quantity keeps balance and will not decrease; when the fault security channels are completely recovered and additional security channels are added, the system function level P(t) is greater than 1.0, that is, P0'>P0, the queuing passengers gradually decrease, and the more the number of additional security channels, the faster the queuing passengers decrease.

[0090] According to the function level function P(t), t'0 takes the same value, and the performance of the terminal building system is analyzed as shown in Table 4.

[0091] Table 4 Q los , R values of the terminal building system under different intensity recovery measures

[0092]

[0093] Table 4 shows that, in the case of redundancy in the security channel, the operation resilience R value of the terminal system is close to 1.0, and the system function loss Q los is close to 0. In the case of no redundancy in the security channel, as the recovery measure intensity increases, the operation resilience R value of the terminal system increases, and the system function loss Q los decreases.

[0094] In summary, when the system has no redundancy, different recovery measure intensities have different effects on the function level recovery of the terminal system. As the recovery measure intensity continuously increases, the operation resilience R value of the terminal system increases, and the system function loss Q los decreases. Only when the recovery measure intensity is greater than the disturbance intensity, can the negative effects of the sudden event disturbance be gradually reduced, and the greater the recovery measure intensity, the faster the negative effects are reduced. When the system has redundancy and the redundancy is greater than the disturbance intensity, the system function level P(t) does not decrease, the operation resilience R value of the terminal system is close to 1.0, and the operation resilience of the terminal system increases.

[0095] According to the embodiments, it is known that:

[0096] In the case of redundancy in the security channel, the system function level P(t) does not decrease or decreases less than in the case of no redundancy. In the case of no redundancy in the security channel, as the number of security channel failures increases, the terminal system function level curve decreases, the operation resilience R value of the terminal system decreases, and the system function loss Q los gradually increases.

[0097] In the case of the same disturbance degree, the system operation resilience R value has no obvious relationship with the failure duration, and in the case of system redundancy, the R value is greater than in the case of no system redundancy, and the system resilience is improved by the system redundancy.

[0098] When the system has no redundancy, different recovery measure intensities have different effects on the function level recovery of the terminal system. The greater the recovery measure intensity, the greater the system resilience, and the smaller the system function loss. Only when the recovery measure intensity is greater than the disturbance intensity, can the negative effects of the sudden event disturbance be gradually reduced, and the greater the intensity, the faster the reduction. When the system has redundancy, the system function level P(t) does not decrease or decreases at a small rate, and the R value increases. When the system has redundancy and the redundancy is greater than the disturbance intensity, P(t) does not decrease, and the system resilience R value is close to 1.0. Based on the above principles, the number of security channels can be determined according to the predicted passenger flow and the intensity of the sudden event.

[0099] The method can determine the number of security channels that achieve the best performance of the terminal system under a sudden event through model analysis, and provides a key decision basis for terminal planning, design, and emergency management.

Claims

1. A method for analyzing the operational resilience of an airport terminal taking into account redundancies, characterized in that Comprising the following steps: Step one, record the actual passenger flow entering the terminal system and the passenger flow leaving the terminal system in real time; Step two, build the terminal system function level index: use the terminal passenger data recorded in step one at each time to calculate the ratio of the number of passengers leaving the terminal to the number of passengers entering the terminal in a certain time interval as the terminal system function level index, the specific formula is as follows: In formula (1), P(t) is a system function level function, reflecting the system function level state under normal conditions and emergency conditions; t is time; x is interval time; q dep (t) is the number of passengers leaving the terminal at t; represents the sum of the number of passengers leaving the terminal from t-x to t; q arr (t) is the number of passengers entering the terminal system at t; represents the sum of the number of passengers arriving at the terminal system from t-x to t; Step three, based on the terminal system function level index function in step two, calculate the system function loss index and the system running resilience index of the terminal system respectively; Terminal system function level loss indicator Q los The calculation formula is as follows: In the formula, P0 represents the system function level obtained according to step two when the system is normally operated; P(t) is the system function level obtained according to step two after the system is disturbed by the sudden event; t s represents the time when the sudden event disturbance starts; t'0 represents the time when the new stable state P0' is reached. Running resilience index R: wherein: t s denotes the time when the disturbance of the incident begins; P0 denotes the system function level obtained according to step two when the system is in normal operation; t'0 denotes the time when a new stable state is reached; P(t) is a system function level function obtained according to step two after the system is disturbed by the incident; denotes the area of the system function level in the time interval from the time when the system is disturbed by the incident t s to the time when a new stable state is reached t'0. Step four, input the predicted passenger flow into the terminal passenger departure process simulation model, set the security check process module in the Anylogic simulation software as a sudden event disturbance module before the sudden event occurs in the terminal system, set the number of security check channels as an initial value, simulate and run, and calculate the system function level P(t), system function loss index Q los and terminal system operation resilience R according to steps two and three. If the system function level P(t), system function loss index Q los and terminal system operation resilience R cannot reach the expected value, adjust the initial value of the number of security check channels until the system function level P(t), system function loss index Q los and terminal system operation resilience R can reach the expected value, and the number of security check channels at this time is the final required number of security check channels.

2. The airport terminal operation resilience analysis method considering redundancy according to claim 1, characterized in that: Step 101, based on Anylogic simulation software, establish a passenger departure process simulation model of the terminal system and set data, then perform simulation operation to obtain the operation capacity of the terminal system, and the operation capacity obeys Possion(λ) process; Step 102, modify the data setting in step 101, repeatedly repeat step 101, and then obtain the maximum operation capacity of the terminal system; Step 103, set the passenger flow arrival model in Anylogic simulation software to the maximum operation capacity of the terminal system, and then set the number of security check channels in the security check process module in Anylogic simulation software to two cases of no redundancy and with redundancy; Step 104, set the normal situation module in the security check process module in Anylogic simulation software, and then execute the following recording process: dynamically input the information of passengers entering the terminal system in real time into Anylogic simulation software for operation simulation, and Anylogic simulation software records the actual passenger flow entering the terminal system and the passenger flow leaving the terminal system in real time; In this process, if a sudden event occurs in the terminal system, the normal situation module is modified to a sudden event disturbance module, the disturbance duration is set, after the disturbance is over, the recovery measures are taken to restore the normal situation, and then the sudden event disturbance module is modified to the normal situation module.

Images