Airport terminal operation toughness analysis method considering redundancy

Abstract

The invention discloses an airport terminal operation toughness analysis method considering redundancy. The method comprises the following steps: recording the actual passenger flow entering a terminal system and the departure passenger flow in real time; building function level indexes of the terminal system; respectively calculating a system function loss index of the terminal system and an operation toughness index of the system; and a reasonable number of security check channels is predicted before an emergency occurs. The invention provides an operation toughness evaluation method of an airport terminal system on the basis of change characteristics of the function level of the airport terminal system in emergency disturbance. Establishing an airport terminal operation simulation model based on Anylogic, and analyzing the influence of redundancy on the operation toughness of an airport terminal system; and the influence of redundancy change caused by the number of security check channel faults, the fault duration and the strength of recovery measures on the operation toughness of the terminal system is analyzed, and a basis is provided for improving the operation capability of the airport terminal.

Description

Technical Field

[0001] The invention relates to an operation resilience analysis method, in particular to an operation resilience analysis method for an airport terminal taking redundancy into consideration. Background Art

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

[0003] The object of the present invention is to provide an airport terminal operation resilience analysis method taking redundancy into consideration which can improve the operation capacity of the airport terminal.

[0004] The airport terminal operation resilience analysis method considering redundancy of the present invention comprises the following steps:

[0005] Step 1: Record the actual passenger flow entering the terminal system and the passenger flow departing in real time;

[0006] Step 2: Construct terminal system function level index: Use the terminal passenger data recorded in step 1 at each moment to calculate the ratio of the number of departing passengers to the number of passengers entering the terminal within a certain time interval as an index to measure the terminal system function level. The specific formula is as follows;

[0007]

[0008] Where P(t) is the system function level function, which reflects the system function level status in normal and emergency situations; t is 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 tx to time t; q arr (t) is the number of passengers entering the terminal system at time t; It represents the sum of the number of passengers arriving at the terminal system from time tx to time t;

[0009] Step 3: Based on the terminal system function level index function in step 2, the system function loss index and the system operation resilience index of the terminal system are calculated respectively;

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

[0011]

[0012] Where P0 represents the system function level obtained according to step 2 when the system is operating normally; P(t) represents the system function level obtained according to step 2 after the system is disturbed by an emergency 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;

[0013] Operational resilience index R:

[0014]

[0015] Where: t s represents the time when the sudden event disturbance starts; P0 represents the system function level obtained according to step 2 when the system is operating normally; t′0 represents the time when a new stable state is reached; P(t) is the system function level function obtained according to step 2 after the system is disturbed by the sudden event; Indicates that the system is disturbed by an unexpected event t s The area of ​​the system functional level during the time interval from time t to time t′0 when the new stable state is reached;

[0016] Step 4: Input the predicted passenger flow entering the terminal system into the terminal passenger departure process simulation model. Before an emergency occurs in the terminal system, set the security check process module in the AnyLogic simulation software as an emergency disturbance module, set the number of security check channels to an initial value, run the simulation, and calculate the system function level P(t) and system function loss index Q according to steps 2 and 3. los and the operational resilience R of the terminal system, if the system function level P(t) and the system function loss index Q los If the operational resilience R of the terminal system cannot reach the expected value, the initial value of the number of security check channels is adjusted until the system function level P(t) and the system function loss index Q los Until the operational resilience R of the terminal system can reach the expected value, the number of security check channels at this time is the final number of security check channels required.

[0017] The present invention is beneficial in that:

[0018] Based on the changing characteristics of the terminal system's functional level during sudden disturbances, this paper proposes a terminal system operational resilience evaluation method. Based on AnyLogic, a terminal operation simulation model is established to analyze the impact of redundancy on the operational resilience of the terminal system; the impact of changes in redundancy caused by the number of security inspection channel failures, failure duration, and strength of recovery measures on the operational resilience of the terminal system is analyzed, providing a basis for improving the operational capacity of airport terminals. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0020] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

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

[0022] Figure 2 The functional level curve of the terminal system with redundancy;

[0023] Figure 3 A physical model for simulating the passenger departure process;

[0024] Figure 4 A logical model for passenger departure process simulation;

[0025] Figure 5 It is the operational capacity diagram of the terminal system;

[0026] Figure 6 It is the system function level curve under different numbers of security inspection channels when the passenger arrival flow is the system saturation flow;

[0027] Figure 7 It is the function level curve of the system with insufficient redundancy under different numbers of security inspection channel failures;

[0028] Figure 8 It is the system function level curve with redundancy under different numbers of security inspection channel failures;

[0029] Fig. 9 The function level curve of the system with insufficient redundancy under different durations of security check channel failure;

[0030] Fig.10It is the system function level curve with redundancy under different duration of security inspection channel failure;

[0031] Fig.11 It is the function level curve of the system with insufficient redundancy under different recovery measures strength;

[0032] Fig.12 It is the system function level curve with redundancy under different recovery measure intensities. DETAILED DESCRIPTION

[0033] In order to more clearly understand the above-mentioned objectives, features and advantages of the present disclosure, the scheme 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, many specific details are set forth to facilitate a full understanding of the technical solution of the present disclosure, but the technical solution of the present disclosure may also be implemented in other ways different from those described herein; obviously, the embodiments in the specification are only part of the embodiments of the technical solution of the present disclosure, rather than all of the embodiments.

[0035] The embodiments of the present invention are intended to cover all such substitutions, modifications and variations that fall within the broad scope of the appended claims. Therefore, any omissions, modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the invention.

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

[0037] Step 1: Record the actual passenger flow entering the terminal system and the passenger flow leaving the terminal in real time. The specific process is as follows:

[0038] Step 101, based on AnyLogic simulation software, a simulation model of passenger departure process of the terminal system is established and data is set, and then a simulation operation is performed to obtain the operation capacity of the terminal system, and the operation capacity obeys the Poisson process Possion(λ);

[0039] Step 102, modifying the data setting in step 101, repeating step 101 repeatedly, and then obtaining the maximum operating capacity of the terminal system;

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

[0041] Step 104, a normal situation module is set in the security check process module in the AnyLogic simulation software, and then the following recording process is performed: the information of passengers entering the terminal system in real time is dynamically input into the AnyLogic simulation software for running simulation, and the AnyLogic simulation software records the actual passenger flow entering the terminal system and the departing passenger flow in real time. The departing passenger flow refers to the departing passenger flow after the passengers go through the check-in, security check and other processes; in this process, if an emergency occurs in the terminal system, the normal situation module is modified to an emergency disturbance module, and the emergency disturbance duration is set. After the disturbance ends, recovery measures are taken to restore the normal situation, and the emergency disturbance module is modified to a normal situation module again; the emergency state refers to a security check channel failure, and the security check channel failure is related to the number of security check channel failures, the duration of the failures, and the number of security check channels that return to normal after repair.

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

[0043] In the AnyLogic simulation software, the passenger flow arrival model is selected and set to obey the Poisson process Possion(λ), where λ is the number of passengers entering the terminal within a certain period of time;

[0044] In AnyLogic simulation software, the check-in, security check and other process modules included in the passenger departure process simulation model after the passengers enter the terminal are selected. The data in each module can be selected based on actual statistics or historical data. Specifically, the check-in service module is divided into the self-service check-in service module, including whether to self-service check-in and the self-service check-in time; the manual counter check-in service module includes the counter check-in time, whether to check in luggage, the check-in time, the ticket collection time, whether the luggage is overweight or prohibited, and the overweight or prohibited luggage processing time.

[0045] In the security check process module, you can set the time for verifying boarding passes and documents, the time for packing luggage, the time for passenger security checks, whether the luggage is unpacked, the time for luggage re-security checks, and the time for picking up luggage.

[0046] Step 2: Construct terminal system function level index: Use the terminal passenger data recorded in step 1 at each moment to calculate the ratio of the number of departing passengers to the number of passengers entering the terminal within a certain time interval as an index to measure the terminal system function level. The specific formula is as follows;

[0047]

[0048] In formula (1), P(t) is the system function level function, which reflects the system function level status in normal situation and emergency situation; t is 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 tx to time t; q arr (t) is the number of passengers entering the terminal system at time t; It represents the sum of the number of passengers arriving at the terminal system from time tx to time t.

[0049] Step 3: Based on the terminal system function level index function in step 2, calculate the system function loss index and the system operation resilience index of the terminal system respectively. The system operation resilience index is the resistance, robustness and recovery under sudden event disturbance.

[0050] The terminal building system functional level loss indicates the difference between the system performance after being disturbed by an emergency event and the system functional level area during normal operation. The terminal building system functional level loss index Q los The calculation formula is as follows:

[0051]

[0052] Where P0 represents the system function level obtained according to step 2 when the system is operating normally; P(t) represents the system function level obtained according to step 2 after the system is disturbed by an emergency 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.

[0053] Operational resilience index R:

[0054]

[0055] In the formula, R reflects the impact of sudden event disturbance on the operational resilience of the terminal system; t s represents the time when the sudden event disturbance starts; P0 represents the system function level obtained according to step 2 when the system is operating normally; t′0 represents the time when a new stable state is reached; P(t) is the system function level function obtained according to step 2 after the system is disturbed by the sudden event; Indicates that the system is disturbed by an unexpected event ts The area of ​​the system functional level during the time interval from time t′0 to when the new stable state is reached.

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

[0057] Step 4: Input the predicted passenger flow entering the terminal system into the terminal passenger departure process simulation model. Before an emergency occurs in the terminal system, set the security check process module in the AnyLogic simulation software as an emergency disturbance module, set the number of security check channels to an initial value, run the simulation, and calculate the system function level P(t) and system function loss index Q according to steps 2 and 3. los and the operational resilience R of the terminal system, if the system function level P(t) and the system function loss index Q los If the operational resilience R of the terminal system cannot reach the expected value, the initial value of the number of security check channels is adjusted until the system function level P(t) and the system function loss index Q los Until the operational resilience R of the terminal system can reach the expected value, the number of security check channels at this time is the final number of security check channels required.

[0058] If an emergency occurs in the system, this model can be used to deeply analyze the functional performance of the terminal system in the emergency, and then determine the number of security check channels that can achieve the best performance of the terminal system in a specific emergency scenario. The determination of this number provides a key decision-making basis for the planning, design and emergency management of the terminal. On the one hand, in the new construction or renovation of the terminal, the layout and number of security check channels can be reasonably planned based on the research results to ensure that the terminal system can maintain an efficient and stable operating state whether in normal operation or in response to emergencies. On the other hand, in terms of emergency management plans, according to the optimal number of security check channels corresponding to different emergencies, resources can be allocated more accurately, the effectiveness of emergency response can be improved, and the operational resilience and ability to respond to emergencies of the entire terminal system can be enhanced.

[0059] Figure 1 When the airport system is not redundant, the function level P(t) changes with time under the disturbance of sudden events. If the system has redundancy, then Figure 1 The P(t) curve does not decrease or decreases slightly under sudden disturbances, such as Figure 2 As shown. At t0, the system is not disturbed, and the system function level fluctuates around P0. s When the disturbance occurs, the system function level decreases to P minFluctuation, t r The system takes recovery measures and reaches a new state P0′ at t′0, which may be lower, equal or higher than P0.

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

[0061] Take the T1 terminal of a 10 million-class airport as an example for analysis. The terminal has an annual passenger throughput capacity of 15 million. The terminal has been in use for a long time and is prone to equipment failures, which affect the operation of the terminal. The basic information and detailed process parameters of the terminal are shown in Table 1 below:

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

[0063]

[0064]

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

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

[0067] in, The module is a passenger arrival module, which generates pedestrians. It is usually used as the starting point of the pedestrian flow and can generate pedestrians of custom pedestrian types with arbitrary flow intensity; For the judgment module, according to the specified conditions, the pedestrians entering are guided into two different processes; The service module simulates how pedestrians receive services at the service point; For the diversion module, create a copy for passengers and luggage, and output passengers and luggage into two process modules respectively; It is a queuing module where luggage queues up to enter X-ray security inspection; For the conveyor belt module; This is the delay module, which can be used to represent luggage and passenger waiting; For the synchronization module, two passengers and bags are synchronized by matching pairs according to given conditions, and the agents that have not been matched are stored in two queues; Passenger waiting module, where passengers wait for boarding in the terminal hall; Prompt passengers to go to the designated location to board the aircraft and complete the boarding service; End module, passengers depart and are released.

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

[0069] The arrival of passengers at the airport terminal follows a Poisson process Possion(λ), where λ is the number of passengers entering the terminal within a certain period of time.

[0070] The maximum operating capacity of the terminal system is determined by continuously increasing the number of arriving passengers. The initial value of λ is set to 30, the increment is 0.2, and the number of passengers arriving at the terminal system is recorded through simulation. The ratio of the number of departing passengers to the number of passengers entering the system is used as the ordinate, and the curve is drawn with λ as the abscissa. Figure 5 shown.

[0071] according to Figure 5 It can be seen that when λ≤35.8, the number of departing passengers / the number of passengers entering the system = 1.0, which means that the terminal system operating capacity has redundancy 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 / the number of entering passengers is <1.0, which means that the terminal system operating capacity has no redundancy and the number of arriving passengers exceeds the maximum operating capacity of the terminal system, resulting in queues. At this time, the number of security check channels is 13.

[0072] The arrival passenger flow remains unchanged, and the total number of security check channels is set to 11, 12, 13, 14, and 15 respectively. Formula (1) is used to calculate the change of the system functional level function P(t) over time, as shown in Figure 6 shown.

[0073] Depend on Figure 6 It can be seen that when the number of security check channels is less than 13, there is no redundancy in the security check channels, P(t) is less than 1.0, queues are generated, the curve fluctuates slightly, and the fewer the number of security check channels, the smaller the system functional level P(t); when the number of security check channels is equal to or greater than 13, P(t) fluctuates around 1.0, and the fluctuation range becomes larger. This is because the security check channels are redundant and the number of passengers in the system changes with the number of passengers arriving. In summary, redundancy has a great impact on the functional level of the terminal system. When the system has no redundancy, even if no disturbance occurs, the system functional level P(t) is less than 1.0.

[0074] The influence of redundancy on the operational resilience of the terminal system is discussed by changing the number of security check channels. From the previous analysis, it can be seen that the example terminal with 13 security check channels reaches its maximum operating capacity when the arriving passengers obey Possion (35.8). By changing the number of security check channel failures, the duration of security check channel failures and the intensity of recovery measures, the influence of redundancy on the operational resilience of the terminal system is analyzed.

[0075] The passengers arriving in the system obey Possion (35.8), and the security check channels are set to 13 and 16 respectively. When the security check channel is 13, the system has no redundancy; when the security check channel is 16, the system has redundancy. The number of faults in the security check channels of the two systems is set to 1, 2, 3, 4, and 5. All of them fail in the 4th hour of simulation and are fully restored after 2 hours. Based on the simulation data, the change of the terminal system function level function P (t) is obtained using formula (1) as follows: Figure 7 , 8 shown.

[0076] like Figure 7 As shown in the figure, the system has no redundancy when the security inspection channel is 13. During normal operation, the system function level P0 fluctuates around 1.0; after a security inspection channel fails, q arr >q dep , security checks generate queues, and the system function level P(t) decreases. As the number of security check channel failures increases, the degree of decline in the terminal system function level curve increases. After taking recovery measures, the system function level P(t) recovers and fluctuates around 1.0, and the queues will not be reduced.

[0077] like Figure 8 As shown in the figure, the system has redundancy when there are 16 security check channels. During normal operation, the system function level P0 fluctuates around 1.0; after a security check channel fails, 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 the queue is reduced, the system function level P(t) returns to 1.0. In summary, when the system has no redundancy, the degree of decline in the system function level increases with the increase in 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] According to the functional level curve, the operational resilience of the terminal system is analyzed, and the Q corresponding to the number of failures of different security inspection channels is obtained. los , R value results are shown in Table 2.

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

[0080]

[0081] From the comparative analysis of whether the security check channel has redundancy or not in Table 2, it can be seen that when the security check channel has no redundancy, the operational resilience R of the terminal system shows a downward trend as the number of security check channel failures increases, and the system function loss Q los When there are three redundant security check channels, when the total number of security check channel failures is less than or equal to 3, the operational resilience R of the terminal system and the system function loss Q los There is no obvious change, the R value is close to 1.0, Q los The value is close to 0; when the total number of security check channel failures is greater than 3, the operational resilience R of the terminal system shows a downward trend as the number of security check channel failures increases, and the system function loss Q los Gradually increase.

[0082] The passenger arrival system obeys Possion (35.8). When the total number of security check channels is 13 and 16, and the number of faulty security check channels is 4, a fault occurs in the 4th hour of the simulation. The faulty channels are all restored after 1, 2, 3, and 4 hours respectively. The changes in the system function level function P (t) are shown in Figures 9 and 10. It can be seen that after the security check channel fails, q dep arr , queuing occurs, and the system function level P(t) decreases. When the security inspection channel has no redundancy, the degree of system function level decrease is independent of the fault duration, but the system function low-level operation time increases with the fault duration; when the security inspection channel has redundancy, the degree of system function level decrease is smaller than when there is no redundancy. After taking recovery measures, due to the redundancy of the inspection channel, q dep> q arr , the system function level P(t) is greater than 1.0, the number of passengers in the queue gradually decreases, and finally the system function level P(t) fluctuates around 1.0.

[0083] The toughness in the two cases was evaluated using equations (2) and (3), and the results are shown in Table 3.

[0084] Table 3 Q of the terminal system under different fault durations los , R value

[0085]

[0086] From Table 3, we can see that Q los ​It increases with the increase of the disturbance duration, indicating that the number of passengers滞留 in the system increases with the increase of the fault duration. Under the same disturbance level, there is no obvious relationship between the system operation resilience R value and the fault duration. Moreover, when the system has redundancy, the R value is larger than that when the system has no redundancy. The reason why there is no obvious relationship between the R value and the fault duration is that the selected t′0 is the corresponding moment when the new stable state P0′ is first reached after taking the recovery measures, and the R value is the ratio of the areas of the system function levels P(t) under fault and normal operation conditions, which is a relative value.

[0087] The arrival of passengers in the system follows Possion(35.8). The total number of security check channels is 13 and 16, and the number of faulty security check channels is 2. A fault occurs at the 4th hour of the simulation, and recovery measures are taken 2 hours later, restoring 1 or 2 of the original faulty security check channels and adding 1 or 2 additional security check channels. The change of the system function level function P(t) obtained from the simulation data is as Fig.11 、 12 shown.

[0088] From Fig.12 it can be seen that when the security check channels have redundancy and the redundancy is greater than the number of faulty security check channels, after a disturbance occurs, the system function level P(t) does not change significantly and still fluctuates around 1.0, maintaining stability.

[0089] From Fig.11 it can be seen that when there is no redundancy in the security check channels, after a disturbance occurs, the system function level P(t) decreases, q dep <q arr , and a queuing phenomenon occurs. Different-intensity recovery measures are taken 2 hours later. When the number of restored faulty security check channels is less than 2, the system function level P(t) rises but is less than 1.0, that is, P0′ < P0, and the number of queuing passengers continues to increase, but the increasing speed decreases; when the number of restored security check channels is equal to 2, the system function level P(t) returns to the original level of 1.0, that is, P0′ = P0, and the number of queuing passengers remains balanced and will not decrease; when the faulty security check channels are completely restored and additional security check channels are added, the system function level P(t) is greater than 1.0, that is, P0′ > P0, and the number of queuing passengers gradually decreases. The more additional security check channels are added, the faster the number of queuing passengers decreases.

[0090] According to the function level function P(t), with the same value of t′0, 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 when the security check channel has redundancy, the operational resilience R value of the terminal system is close to 1.0, and the system function loss Q los Close to 0. In the case of no redundancy in the security check channel, as the intensity of the recovery measures increases, the operational resilience R value of the terminal system increases, and the system function loss Q los Reduce.

[0094] In summary, when the system has no redundancy, different recovery measures have different effects on the functional level of the terminal system. As the intensity of the recovery measures increases, the operational resilience R value of the terminal system increases, and the system function loss Q los will decrease. Only when the strength of the recovery measures is greater than the disturbance intensity can the negative impact of the sudden disturbance be gradually reduced, and the greater the strength of the recovery measures, the faster the negative impact will be 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 operational resilience R value of the terminal system is close to 1.0, and the operational resilience of the terminal system increases.

[0095] According to the embodiments:

[0096] When the security check channel has redundancy, the system function level P(t) does not decrease or decreases less than when there is no redundancy. When the security check channel has no redundancy, as the number of security check channel failures increases, the terminal system function level curve decreases more, the terminal system operational resilience R value decreases, and the system function loss Q los Gradually increase.

[0097] Under the same disturbance degree, there is no obvious relationship between the system operation resilience R value and the fault duration, and when the system has redundancy, the R value is larger than when the system has no redundancy. System redundancy improves system resilience.

[0098] When the system has no redundancy, different recovery measures have different effects on the functional level of the terminal system. The greater the strength of the recovery measures, the greater the system resilience and the smaller the system function loss; only when the strength of the recovery measures is greater than the disturbance intensity can the negative impact of the sudden disturbance be gradually reduced, and the greater the strength, the faster the reduction speed. When the system has redundancy, the system functional level P(t) will not decrease or decrease slightly, and the R value will increase; when the system has redundancy and the redundancy is greater than the disturbance intensity, P(t) will not decrease, and the system resilience R value is close to 1.0. Based on the above principles, the number of security check channels can be determined according to the predicted passenger flow and the intensity of the sudden event.

[0099] Through model analysis, this method can determine the number of security inspection channels to achieve the best performance of the terminal system under emergencies, providing a key decision-making basis for terminal planning, design and emergency management.

Claims

1. The airport terminal operation resilience analysis method considering redundancy is characterized by The following steps are involved: Step 1: Record the actual passenger flow entering the terminal system and the passenger flow departing in real time; Step 2: Construct terminal system function level index: Use the terminal passenger data recorded in step 1 at each moment to calculate the ratio of the number of departing passengers to the number of passengers entering the terminal within a certain time interval as an index to measure the terminal system function level. The specific formula is as follows; In formula (1), P(t) is the system function level function, which reflects the system function level status in normal situation and emergency situation; t is 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 tx to time t; q arr (t) is the number of passengers entering the terminal system at time t; It represents the sum of the number of passengers arriving at the terminal system from time tx to time t; Step 3: Based on the terminal system function level index function in step 2, the system function loss index and the system operation resilience index of the terminal system are calculated respectively; Terminal system function level loss index Q los The calculation formula is as follows: Where P0 represents the system function level obtained according to step 2 when the system is operating normally; P(t) represents the system function level obtained according to step 2 after the system is disturbed by an emergency 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; Operational resilience index R: Where: t s represents the time when the sudden event disturbance starts; P0 represents the system function level obtained according to step 2 when the system is operating normally; t′0 represents the time when a new stable state is reached; P(t) is the system function level function obtained according to step 2 after the system is disturbed by the sudden event; Indicates that the system is disturbed by an unexpected event t s The area of ​​the system functional level during the time interval from time t to time t′0 when the new stable state is reached; Step 4: Input the predicted passenger flow entering the terminal system into the terminal passenger departure process simulation model. Before an emergency occurs in the terminal system, set the security check process module in the AnyLogic simulation software as an emergency disturbance module, set the number of security check channels to an initial value, run the simulation, and calculate the system function level P(t) and system function loss index Q according to steps 2 and 3. los and the operational resilience R of the terminal system, if the system function level P(t) and the system function loss index Q los If the operational resilience R of the terminal system cannot reach the expected value, the initial value of the number of security check channels is adjusted until the system function level P(t) and the system function loss index Q los Until the operational resilience R of the terminal system can reach the expected value, the number of security check channels at this time is the final number of security check channels required.

2. The airport terminal operation resilience analysis method considering redundancy according to claim 1 is characterized by: Step 101, based on AnyLogic simulation software, a simulation model of passenger departure process of the terminal system is established and data is set, and then a simulation operation is performed to obtain the operation capacity of the terminal system, and the operation capacity obeys the Poisson process Possion(λ); Step 102, modifying the data setting in step 101, repeating step 101 repeatedly, and then obtaining the maximum operating capacity of the terminal system; Step 103, setting the passenger flow arrival model in the AnyLogic simulation software to the maximum operating capacity of the terminal system, and then setting the number of security inspection channels in the security inspection process module in the AnyLogic simulation software to two conditions: no redundancy and redundancy; Step 104, set a normal situation module in the security check process module in the AnyLogic simulation software, and then perform the following recording process: dynamically input the information of passengers entering the terminal system in real time into the AnyLogic simulation software for running simulation, and the AnyLogic simulation software records the actual passenger flow entering the terminal system and the passenger flow departing in real time; during this process, if an emergency occurs in the terminal system, the normal situation module is modified to an emergency disturbance module, and the emergency disturbance duration is set. After the disturbance ends and recovery measures are taken to restore normal conditions, the emergency disturbance module is modified to a normal situation module again.

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