Method for dynamically regulating and controlling number of airport security check channels based on multi-dimensional parameters

Abstract

The invention discloses an airport security check channel number dynamic regulation and control method based on multi-dimensional parameters, and the method comprises the steps: obtaining security check information data from a civil aviation security check system in real time through a security check channel regulation and control system, then analyzing the obtained data, and deducing a formula for calculating the number of common security check channels and the number of easy security check channels required in the future one hour; and then calculating the number of common security check channels and the number of easy security check channels through derivation, and respectively opening or closing the corresponding number of common security check channels and easy security check channels according to the number of common security check channels and the number of easy security check channels obtained through calculation. The number of the easy security check channels and the number of the common security check channels are calculated by adopting a dynamic algorithm, so that increase and decrease of the easy security check channels and the common security check channels are dynamically adjusted, optimal configuration of security check resources is realized, and the utilization rate of the security check channels is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of airport control, and in particular relates to a method for dynamically controlling the number of airport security inspection channels based on multi-dimensional parameters. Background Art

[0002] The primary goal of smart travel in civil aviation is to shorten the overall travel time of passengers. In order to promote "differentiated security checks for passengers", existing airports have launched easy security check channels. Passengers with good long-term travel records can apply for easy security check channels through the airport's open security check reservation platform. Passengers who have obtained easy security check qualifications after making an appointment can go through the easy security check channels set up at the airport. Security checks through easy security check channels are easier and more convenient than those through ordinary security check channels, and the security check speed is faster. Therefore, increasing the number of easy security check channels can reduce the time passengers wait in line for inspection, as well as improve the passenger security check service experience, improve the efficiency of security checks, and reduce the time passengers wait in line. However, the airport's regulation of the number of ordinary security check channels and easy security check channels has the following defects: 1. Unable to dynamically adjust the number of security inspection channels: The traditional solution adopts a fixed channel allocation method. The airport cannot dynamically adjust the number of general security inspection channels and easy security inspection channels according to passenger flow and reservation conditions; 2. Uneven allocation of security checkpoints: The large fluctuations in passenger traffic at airports can cause security checkpoints to be overused during certain periods of time, while being relatively idle during other periods, resulting in a waste of resources. 3. Security inspectors are under great work pressure: Uneven distribution of security inspection channels will lead to uneven distribution of work pressure for security inspectors, affecting the overall security inspection efficiency. Summary of the invention

[0003] The purpose of the present invention is to provide a method for dynamically controlling the number of airport security inspection channels based on multi-dimensional parameters. Through comprehensive analysis of multi-dimensional parameters, a dynamic algorithm is used to calculate the number of easy security inspection channels and the number of ordinary security inspection channels, thereby dynamically adjusting the increase or decrease of easy security inspection channels and ordinary security inspection channels, achieving the optimal configuration of security inspection resources, and improving the utilization rate of security inspection channels.

[0004] To achieve the above object, the present invention provides a method for dynamically controlling the number of airport security inspection channels based on multi-dimensional parameters, comprising the following steps: S1. The security inspection channel control system obtains security inspection information data from the civil aviation security inspection system in real time. The security inspection information data includes the types of security inspection passenger portraits and the proportion of each type of security inspection passengers, the proportion of passengers who are easy to be inspected, the real-time security inspection rate and average security inspection rate of the security inspection channel, the maximum number of people inspected per hour in a single security inspection channel, the equipment status coefficient of the security inspection equipment, and the total number of passengers arriving; S2. The security inspection channel control system analyzes the acquired data and derives the formula for calculating the number of ordinary security inspection channels and the number of easy security inspection channels required in the next hour. The calculation formula for the number of ordinary security inspection channels is as follows:

[0005] Among them, N represents the number of ordinary security inspection channels; a represents a weight coefficient, which is used to measure the impact of the work efficiency of security inspectors on the number of security inspection channels; b represents a constant term, which is used to make basic adjustments to the overall demand for the number of security inspection channels, and is set according to the impact of weather factors, special activities, holiday passenger peaks or emergency reservations on security inspection; represents the average arrival rate of passengers, that is, the number of passengers arriving at the airport per hour, which is obtained by constructing a passenger arrival distribution function model and fitting it using the log-normal distribution function; m represents the total number of types of security check passenger portraits; The characteristic coefficient of the i-th type of security check passenger is used to indicate the relative degree of demand for security check resources by this type of passenger; represents the proportion of the i-th type of ordinary security check passengers in the total number of ordinary security check passengers; R represents the proportion of passengers who are subject to easy security check; It is the maximum number of people that can be inspected per hour at a single general security inspection channel; is the real-time security check rate of the general security check channel, that is, the actual number of passengers passing through the general security check channel per hour; Is the average security inspection rate of ordinary security inspection channels It is the equipment status coefficient of the ordinary security inspection channel, which is used to reflect the impact of the actual operating status of the ordinary security inspection equipment on the capacity of the ordinary security inspection channel; The calculation formula for the number of easy security inspection channels is as follows:

[0006] in, Indicates the number of easy security inspection channels; ' represents the proportion of the i-th type of easy security check passengers in the total number of easy security check passengers; It is the maximum number of people that can pass through a single security check channel per hour; is the average security inspection rate of the easy security inspection channel; is the real-time security check rate of the easy security check channel, that is, the actual number of passengers passing through the easy security check channel per hour; It is the equipment status coefficient of the easy security inspection channel, which is used to reflect the impact of the actual operating status of the ordinary security inspection equipment on the capacity of the easy security inspection channel; S3. Calculate the number of common security inspection channels and the number of easy security inspection channels in real time using the formula in step S2, and open or close a corresponding number of common security inspection channels and easy security inspection channels according to the calculated number of common security inspection channels and the number of easy security inspection channels, so as to dynamically adjust the number of security inspection channels.

[0007] Further, in step S2, based on the difference between the historical flight scheduled departure time and the historical passenger security check time, the distribution data of the number of passengers arriving is estimated, and a passenger arrival distribution function model is constructed to calculate the probability of passengers arriving within the specified time range. The probability of passengers arriving within the specified time range is multiplied by the total number of passengers arriving to obtain the average arrival rate of passengers. The formula of the passenger arrival distribution function model is as follows:

[0008] Where x is the total number of passengers arriving. Planned departure times for historical flights, This is the security check time for historical passengers.

[0009] Furthermore, in step S2, the specific calculation process of the average arrival rate of passengers is: S2.1, input parameter x, and , then confirm the central time point in hours; S2.2, set the time range in hours, the default value is 1 hour, which is used to determine the time span before and after the central time point; S2.3, determine the boundaries of the time range, including early time points and late time points. The early time point is the central time point plus the time range, and the early time point represents the upper limit of the time range; the late time point is the middle time point, which represents the lower limit of the time range; S2.4. Use the cumulative distribution function of the lognormal distribution to calculate the probability of a passenger arriving before the early time point and the late time point; S2.5, subtract the cumulative distribution function value at the later time point from the cumulative distribution function value at the earlier time point to obtain the probability of arrival within the specified time range; S2.6. Multiply the total number of passenger arrivals by the probability of a passenger arriving within a specified time range to obtain the average passenger arrival rate.

[0010] Further, in step S1, the civil aviation security inspection system includes a reservation service module, a civil aviation passenger service module, a civil aviation channel service module and a civil aviation verification service module; the reservation service module is used to obtain reservation information, and the reservation information includes the number of reservations for easy security inspection passengers, the number of passengers who have obtained easy security inspection qualifications, the types of portraits of easy security inspection passengers, and the proportion of each type of easy security inspection passengers in the total number of easy security inspection passengers; the civil aviation passenger service module is used to obtain passenger information, and the passenger information includes the total number of arriving passengers, the types of portraits of ordinary security inspection passengers, and the proportion of each type of ordinary security inspection passengers in the total number of ordinary security inspection passengers; the civil aviation channel service module is used to obtain security inspection channel information, and the security inspection channel information includes the real-time recorded number of real-time security inspection channels, the number of passengers inspected per security inspection channel per hour, the total number of passengers inspected per hour, and the equipment status coefficient; the civil aviation verification service module is used to obtain verification information, and the verification information includes the credit evaluation and safety record of the passenger.

[0011] Furthermore, after step S3, the following steps are also included: S4. The security check channel control system includes an intelligent recommendation module. Passengers make reservations for the easy security check service through the reservation platform of the reservation service module. The intelligent recommendation module determines which security check channel has the fastest security check speed based on the channel information obtained in real time by the civil aviation channel service module. The channel with the fastest security check speed is the optimal easy security check channel and ordinary security check channel. Then, the optimal easy security check channel information is sent to the easy security check passenger through the easy security check platform to recommend the easy security check passenger to the optimal easy security check channel, and the optimal ordinary security check channel information is sent to the security personnel, who guide the ordinary passengers to the optimal ordinary security check channel.

[0012] Further, in step S2, the types of passenger portraits for security inspection include business passengers, ordinary passengers, elderly passengers, and passengers with children. It is determined by the security check time required for each type of passenger.

[0013] Further, in step S2, the ratio R of passengers eligible for easy security check is the ratio of passengers who are qualified for easy security check to the total number of passengers who have passed the check, and whether the passenger is qualified for easy security check is determined based on the credit evaluation and security record in the verification information.

[0014] Further, in step S2, the number of passengers passing through the security check channel per hour is the real-time security check rate of the security check channel, and the average security check rate of the security check channel is the average value obtained by statistical analysis of the number of passengers passing through the security check channel over a period of time in historical data, which is calculated by the real-time number of security check channels and the number of passengers passing through each security check channel per hour.

[0015] Furthermore, in step S2, the equipment status coefficient is monitored in real time by the civil aviation channel service module, and comprehensively considers the aging condition, maintenance condition, and current fault factor of the security inspection equipment on the security inspection efficiency.

[0016] Further, in step S2, and ' indicates the maximum number of passengers that can theoretically pass through a single general security check channel and an extended security check channel per hour under ideal conditions. This data is obtained by calculating the maximum number of passengers that passed through the general security check channel and the extended security check channel on the previous day.

[0017] After adopting the above scheme, the beneficial effects of the present invention are: 1. The present invention obtains multiple dimensional parameters through real-time monitoring of the civil aviation security inspection system, including the proportion of passengers who are easy to be inspected, the maximum number of passengers who pass through a single security inspection channel per hour, the security inspection rate information of the security inspection channel, passenger portrait information, and equipment status coefficient and other information parameters. The number of ordinary security inspection channels and the number of easy security inspection channels required in the next hour are calculated based on these parameters, so as to more comprehensively and intelligently evaluate the security inspection situation in the next hour. The number of security inspection channels is increased or reduced based on the calculated number of security inspection channels, so as to realize dynamic adjustment of the number of security inspection channels, so as to better utilize channel resources, avoid the waste of channel resources under the traditional fixed allocation method, and improve resource utilization efficiency; 2. The present invention dynamically adjusts the number of security inspection channels according to passenger flow fluctuations, so that the security inspection channels are evenly distributed and the utilization rate of the security inspection channels is improved; 3. Evenly distributed security inspection channels can reduce the workload of security inspection staff and improve overall security inspection efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 is a flow chart of the method of the present invention; Figure 2 It is a system framework diagram of the present invention. DETAILED DESCRIPTION

[0019] The present invention is described in detail below with reference to the accompanying drawings and specific embodiments.

[0020] The present invention provides a method for dynamically controlling the number of airport security inspection channels based on multi-dimensional parameters, such as Figure 1-2 As shown, the specific steps include: S1. The security inspection channel control system obtains security inspection information data from the civil aviation security inspection system in real time. The security inspection information data includes the types of security inspection passenger portraits and the proportion of each type of security inspection passengers, the proportion of passengers who are easy to be inspected, the real-time security inspection rate and average security inspection rate of the security inspection channel, the maximum number of people inspected per hour in a single security inspection channel, the equipment status coefficient of the security inspection equipment, the total number of passengers arriving, etc.

[0021] Specifically, the civil aviation security inspection system includes a reservation service module, a civil aviation passenger service module, a civil aviation channel service module and a civil aviation verification service module.

[0022] The reservation service module obtains reservation information through the reservation platform. Passengers can make reservations on the reservation platform to obtain easy security check qualifications, so that the reservation information includes the number of reservations for easy security check passengers, the types of portraits of security check passengers, the proportion of each type of easy security check passengers in the total number of easy security check passengers, etc.

[0023] The civil aviation passenger service module can monitor the passenger's ticket booking status and passenger arrival status in real time, thereby obtaining passenger information, which includes the total number of passengers arriving, the types of portraits of ordinary security check passengers, the proportion of each type of ordinary security check passengers in the total number of ordinary security check passengers, etc.

[0024] The civil aviation channel service module can monitor the situation of each security inspection channel in real time, so as to obtain security inspection channel information in real time. The security inspection channel information includes the real-time recorded number of security inspection channels, the number of passengers inspected per security inspection channel per hour, the total number of passengers inspected per hour, the equipment status coefficient, etc.

[0025] The civil aviation verification service module is used to obtain verification information, which includes the passenger's credit evaluation and safety record. After the passenger makes an appointment for the easy security check channel on the reservation platform, the credit evaluation and safety record are used to determine whether the passenger is eligible for the easy security check.

[0026] S2. The security inspection channel control system analyzes the acquired data and derives a formula for calculating the number of ordinary security inspection channels and the number of easy security inspection channels required in the future (for example, within 1 hour). The calculation formula for the number of ordinary security inspection channels is as follows:

[0027] Where N represents the number of general security inspection channels; a represents a weight coefficient, which is used to measure the degree of influence on the number of security check channels. Its value is usually adjusted based on historical data. For example, it is used to measure the degree of influence of the work efficiency of security check personnel on the number of security check channels. It can be adjusted according to the average work efficiency of employees. Based on the historical work efficiency of each security check personnel, the degree of influence of the average work efficiency of all security check personnel on the number of security check channels is calculated, and the weight coefficient a is obtained.

[0028] b represents a constant term, which is used to make basic adjustments to the overall demand for the number of security check channels, for example, according to the impact of weather factors, special events, holiday passenger peaks or emergency reservations on security checks.

[0029] It represents the average arrival rate of passengers, that is, the number of passengers arriving at the airport per hour. It is obtained by constructing a passenger arrival distribution function model and fitting it with a log-normal distribution function. Specifically, based on the difference between the historical flight scheduled departure time and the historical passenger security check time, the distribution data of the number of passengers arriving is estimated, and a passenger arrival distribution function model is constructed to calculate the probability of passengers arriving within a specified time range. The probability of passengers arriving within a specified time range is multiplied by the total number of passengers arriving to obtain the average arrival rate of passengers. The formula of the passenger arrival distribution function model is as follows:

[0030] Where x is the total number of passengers arriving, that is, the total number of all passengers that may arrive, such as the total number of passengers on a flight; The planned departure times for historical flights reflect the center position of the lognormal distribution; It is the historical passenger security check time, reflecting the discreteness of the data.

[0031] The specific calculation process of the average passenger arrival rate is as follows: S2.1, input parameter x, and , then confirm the central time point in hours; S2.2. Set the time range in hours to determine the time span before and after the central midpoint; S2.3, determine the boundaries of the time range, including early time points and late time points. The early time point is the central time point plus the time range, and the early time point represents the upper limit of the time range; the late time point is the middle time point, which represents the lower limit of the time range; S2.4. Calculate the cumulative score function. The cumulative distribution function is used to describe the probability that a random variable is less than or equal to a certain value. In this embodiment, the cumulative distribution function of the lognormal distribution is used to calculate the probability of the passenger arriving before the early time point and the late time point. S2.5. Calculate the probability difference by subtracting the cumulative distribution function value at the later time point from the cumulative distribution function value at the earlier time point, that is, obtain the probability of arrival within the specified time range. This probability reflects the possibility of the passenger arriving within the period from the later time point to the earlier time point; S2.6. Calculate the expected number of arrivals. Multiply the total number of passengers arriving by the probability of passengers arriving within the specified time range to get the expected number of arrivals. This value is the number of passengers expected to arrive within the specified time range before and after the given central time point, which is the average arrival rate of passengers.

[0032] The calculation of the average passenger arrival rate is further explained below through a specific implementation: Assume that the total number of passengers on a flight is x = 200, the lognormal distribution has μ = 2, σ = 0.5, the central time point is 2 hours before the scheduled departure of the flight, and the time range is set to 1 hour, then Early time point: 2 hours from the central time point plus 1 hour from the time range, which is 3 hours before the flight is scheduled to take off; Late time point: 2 hours before the flight is scheduled to take off.

[0033] Then, the probability of arriving before the early time point and the late time point is calculated by the cumulative distribution function of the lognormal distribution. The input parameters are calculated to get the cumulative distribution function value of the early time point as 0.7, and the cumulative distribution function value of the late time point as 0.3. The probability difference is 0.7 - 0.3 = 0.4, and the average arrival rate is 200 × 0.4 = 80 people, that is, 80 people are expected to arrive 2 - 3 hours before the flight is scheduled to take off, and the average arrival rate of passengers is 80 people / hour.

[0034] m represents the total number of types of security check passenger portraits. Through the reservation information and passenger information, the categories of passengers on that day can be obtained, thereby obtaining the total number of portrait types. The passenger portrait types include business passengers, ordinary passengers, elderly passengers, and passengers with children. Passengers will record the corresponding booking information when booking tickets. The civil aviation passenger service module can obtain the passenger’s booking information through the booking system, including whether the passenger is carrying children, cabin type, passenger’s age, etc., and use this to classify the passenger’s profile.

[0035] It represents the characteristic coefficient of the i-th security check passenger, which is used to indicate the relative degree of demand for security check resources of this type of passenger. It is determined according to the security check time required by the passenger. The faster the security check speed is, the lower the demand for security check resources is, and the smaller the characteristic coefficient is. For example, business passengers have tight schedules, simple luggage, and high cooperation. They pass through security checks quickly, so their characteristic coefficient is small. Elderly passengers move and react slowly, requiring more security check time and resources, so their characteristic coefficient is large. Passengers with children need to take care of children and organize luggage, so their security check speed is slow, so their characteristic coefficient is large. The remaining ordinary passengers are passengers with normal security check speed. Generally, the characteristic coefficient values ​​of other types of passengers are set based on the characteristic coefficient of ordinary passengers. For example, if the characteristic coefficient of ordinary passengers is set to 1, the characteristic coefficient of business passengers is less than 1, and the characteristic coefficients of elderly passengers and passengers with children are greater than 1.

[0036] It represents the proportion of the i-th type of ordinary security check passengers in the total number of ordinary security check passengers, obtained through passenger information.

[0037] R represents the ratio of passengers with easy security check, that is, the ratio of passengers qualified for easy security check to the total number of passengers who have passed the check, which can be expressed by the ratio of the number of passengers who have made reservations to the total number of passengers who have booked tickets.

[0038] It is the maximum number of passengers that pass through a single ordinary security check channel per hour, indicating the maximum number of passengers that can theoretically pass through a single ordinary security check channel per hour under ideal conditions. This data is obtained by calculating the maximum number of passengers that passed through the ordinary security check channel on the previous day.

[0039] It is the real-time security check rate of the general security check channel, that is, the actual number of passengers passing through the general security check channel per hour, which is obtained by the number of passengers passing through each security check channel per hour in the security check channel information.

[0040] It is the average security inspection rate of ordinary security inspection channels. It is the average value obtained by statistical analysis of the number of passengers passing through ordinary security inspection channels over a period of time based on historical data. It can be calculated by the real-time number of security inspection channels and the number of passengers passing through each security inspection channel per hour. For example, there are currently two channels, the security inspection rate of one channel is 50 people / hour, and the security inspection rate of the other channel is 130 people / hour, then the average security inspection rate is 90 people / hour.

[0041] It is the equipment status coefficient of the ordinary security inspection channel. It is used to reflect the impact of the actual operating status of the ordinary security inspection equipment on the capacity of the ordinary security inspection channel. It is monitored in real time through the civil aviation channel service module, and comprehensively considers the aging, maintenance and current fault factors of the security inspection equipment on the security inspection efficiency.

[0042] The calculation formula for the number of easy security inspection channels is as follows:

[0043] in, Indicates the number of easy security inspection channels; ' represents the proportion of the i-th type of easy security check passengers in the total number of easy security check passengers, obtained through reservation information; It is the maximum number of people who pass through a single easy security check channel per hour. The method of obtaining it is the same as that of a normal security check channel. It is the average security check rate of the easy security check channel, and the acquisition method is the same as that of the ordinary security check channel; The real-time security check rate of the easy security check channel, that is, the actual number of passengers passing through the easy security check channel per hour. The acquisition method is the same as that of the ordinary security check channel. It is the equipment status coefficient of the easy security inspection channel, which is used to reflect the impact of the actual operating status of the ordinary security inspection equipment on the capacity of the easy security inspection channel. The acquisition method is the same as that of the ordinary security inspection channel.

[0044] S3. Calculate the number of common security inspection channels and the number of easy security inspection channels in real time through the two formulas in step S2. The calculated number of security inspection channels is the number of security inspection channels that need to be opened in the next hour. According to the calculated number of common security inspection channels and the number of easy security inspection channels, open or close the corresponding number of common security inspection channels and the number of easy security inspection channels. That is, if the current number of common security inspection channels open is less than the calculated number of common security inspection channels, open the corresponding number of common security inspection channels so that the number of open common security inspection channels reaches the calculated number. , otherwise, the corresponding number of ordinary security inspection channels will be closed, and the same is true for the easy security inspection channels, so as to achieve dynamic adjustment of the number of security inspection channels. It should be noted that if the calculated and If it is not an integer, it is rounded up.

[0045] Furthermore, after step S3, the following steps are also included: S4. The security inspection channel control system includes an intelligent recommendation module. Passengers make reservations for the easy security inspection service through the reservation platform of the reservation service module. The intelligent recommendation module determines which security inspection channel has the fastest security inspection speed based on the channel information obtained in real time by the civil aviation channel service module. The channel with the fastest security inspection speed is the optimal easy security inspection channel and the ordinary security inspection channel. Then, the optimal easy security inspection channel information is sent to the easy security inspection passenger through the easy security inspection platform to recommend the easy security inspection passenger to the optimal easy security inspection channel for security inspection, and the optimal ordinary security inspection channel information is sent to the security inspector, who guides the ordinary passenger to the optimal ordinary security inspection channel. This step can further improve the overall security inspection speed of the airport and reduce the work pressure of the security inspectors.

[0046] In summary, the present invention obtains multiple dimensional parameters through real-time monitoring of the civil aviation security inspection system, including the proportion of passengers who are easy to be inspected, the maximum number of people who pass through a single security inspection channel per hour, the security inspection rate information of the security inspection channel, passenger portrait information, and equipment status coefficient information parameters. In addition, the present invention also considers the work efficiency of security inspectors, as well as the impact of other special factors on security inspection, such as weather factors, passenger peaks during special events or holidays, and emergency reservations for emergencies. Calculating the number of channels for ordinary security inspection and easy security inspection based on these parameters can more comprehensively, accurately, and intelligently evaluate the security inspection situation.

[0047] Specifically, by combining the average arrival rate of passengers, the characteristic coefficient of the portrait type, the weight coefficient a and the constant term b, the number of passengers who actually need to go through security checks in the next hour can be most accurately estimated. By combining the maximum number of passengers who can go through security checks per hour in a single security check channel calculated the day before, the current average security check rate and actual security check rate of the security check channel, and the equipment status coefficient, the number of people who can actually go through security checks in a single security check channel in the next hour can be most accurately estimated. The value of the former divided by the latter can give the number of security check channels that need to be opened in the next hour. Then, security check channels can be opened or closed based on this value to achieve dynamic adjustment of the number of security check channels, which can better utilize channel resources, avoid the waste of channel resources under the traditional fixed allocation method, and improve resource utilization efficiency.

[0048] The following is an example of calculating the number of security checkpoints during a peak period: A large international airport is welcoming the peak of summer tourism. It is known that the maximum number of people passing through a single ordinary security check channel per hour yesterday was M = 200 people / hour. In the easy security check channel, It is also 200 people / hour. Currently, 1 general security check channel and 0 easy security check channels have been opened. It is expected that the next hour will be the peak period for passenger inspection, during which the total number of passengers arriving will reach 8,000. The airport needs to rationally plan security check channel resources and intelligently allocate passengers to ensure efficient and orderly security inspection.

[0049] Other data and parameter settings are: Passenger portrait: Among the passengers undergoing ordinary security checks, ordinary passengers accounted for 55%, with a characteristic coefficient of 1.0; business passengers accounted for 25%, with a characteristic coefficient of 0.7; elderly passengers accounted for 10%, with a characteristic coefficient of 1.5; and passengers carrying children accounted for 10%, with a characteristic coefficient of 1.4.

[0050] Among the passengers subject to easy security check, business travelers account for 40%, ordinary passengers account for 45%, elderly passengers account for 10%, and passengers with children account for 5%. The characteristic coefficients of passengers subject to easy security check are the same as those of passengers subject to ordinary security check.

[0051] Average passenger arrival rate: the number of passengers arriving per unit time, calculated through the passenger arrival distribution function model, based on historical passenger flight departure times and passenger security check times. =3600 people / hour Security inspection channel speed: Ordinary security inspection channel: The average number of people inspected per hour is calculated from the civil aviation security inspection system to be 150, that is, v = 150 people / hour. The actual security inspection channel rate =100 people / hour, the equipment continues to operate at a high intensity, and the equipment coefficient is set by the security inspection system to e=0.95.

[0052] Easy security check channel: The average number of people checked per hour is 280, that is =280 people / hour, actual security inspection channel rate =200 people / hour, due to process optimization and high passenger cooperation, the equipment coefficient is set by the security inspection system =1.1.

[0053] According to the airport’s long-term data statistics and analysis, a = 0.65, b = 12.

[0054] The ratio of people who have made appointments for easy security check is R = 0.35.

[0055] Calculate the number of general security inspection channels: Calculate comprehensive factors of passenger profile =(0.7×25%+1.0×55%+1.5×10%+1.4×10%)×3600=3654 Substituting the calculation formula for the number of general security inspection channels into the formula: N = [(3654×0.65+12)×(1-35%)] / [200×(150 / 100)×0.95] = 5.44 items Rounding up, the number of ordinary security check channels is 6, which means that 5 additional ordinary security check channels need to be opened in the next hour.

[0056] Calculation of the number of easy security inspection channels: Calculate comprehensive factors of passenger profile =(0.7×40%+1.0×45%+1.5×10%+1.4×5%)×3600=3420 Substitute the calculation formula for the number of easy security inspection channels into: =([3420×0.65+12)×35%] / [200×(280 / 200)×1.1]=2.54 Rounding up, the number of easy security check channels is 3, which means that 3 additional easy security check channels need to be opened in the next hour.

[0057] The above description is only a preferred embodiment of the present invention and is not a limitation on the design of this case. Any equivalent changes made based on the design key of this case shall fall within the protection scope of this case.

Claims

1. A method for dynamically controlling the number of airport security inspection channels based on multi-dimensional parameters, characterized in that: The following steps are involved: S1. The security inspection channel control system obtains security inspection information data from the civil aviation security inspection system in real time. The security inspection information data includes the types of security inspection passenger portraits and the proportion of each type of security inspection passengers, the proportion of passengers who are easy to be inspected, the real-time security inspection rate and average security inspection rate of the security inspection channel, the maximum number of people inspected per hour in a single security inspection channel, the equipment status coefficient of the security inspection equipment, and the total number of passengers arriving; S2. The security inspection channel control system analyzes the acquired data and derives the formula for calculating the number of ordinary security inspection channels and the number of easy security inspection channels required in the next hour. The calculation formula for the number of ordinary security inspection channels is as follows: Among them, N represents the number of ordinary security inspection channels; a represents a weight coefficient, which is used to measure the impact of the work efficiency of security inspectors on the number of security inspection channels; b represents a constant term, which is used to make basic adjustments to the overall demand for the number of security inspection channels, and is set according to the impact of weather factors, special activities, holiday passenger peaks or emergency reservations on security inspection; represents the average arrival rate of passengers, that is, the number of passengers arriving at the airport per hour, which is obtained by constructing a passenger arrival distribution function model and fitting it using the log-normal distribution function; m represents the total number of types of security check passenger portraits; The characteristic coefficient of the i-th type of security check passenger is used to indicate the relative degree of demand for security check resources by this type of passenger; represents the proportion of the i-th type of ordinary security check passengers in the total number of ordinary security check passengers; R represents the proportion of passengers who are subject to easy security check; It is the maximum number of people that can be inspected per hour at a single general security inspection channel; is the real-time security check rate of the general security check channel, that is, the actual number of passengers passing through the general security check channel per hour; It is the average security inspection rate of ordinary security inspection channels; It is the equipment status coefficient of the ordinary security inspection channel, which is used to reflect the impact of the actual operating status of the ordinary security inspection equipment on the capacity of the ordinary security inspection channel; The calculation formula for the number of easy security inspection channels is as follows: in, Indicates the number of easy security inspection channels; ' represents the proportion of the i-th type of easy security check passengers in the total number of easy security check passengers; It is the maximum number of people that can pass through a single security check channel per hour; is the average security inspection rate of the easy security inspection channel; is the real-time security check rate of the easy security check channel, that is, the actual number of passengers passing through the easy security check channel per hour; It is the equipment status coefficient of the easy security inspection channel, which is used to reflect the impact of the actual operating status of the ordinary security inspection equipment on the capacity of the easy security inspection channel; S3. Calculate the number of common security inspection channels and the number of easy security inspection channels in real time using the formula in step S2, and open or close a corresponding number of common security inspection channels and easy security inspection channels according to the calculated number of common security inspection channels and the number of easy security inspection channels, so as to dynamically adjust the number of security inspection channels.

2. The method for dynamically controlling the number of airport security inspection channels based on multi-dimensional parameters as claimed in claim 1, characterized in that: In step S2, based on the difference between the historical flight scheduled departure time and the historical passenger security check time, the distribution data of the number of passengers arriving is estimated, and a passenger arrival distribution function model is constructed to calculate the probability of passengers arriving within a specified time range. The probability of passengers arriving within the specified time range is multiplied by the total number of passengers arriving to obtain the average arrival rate of passengers. The formula of the passenger arrival distribution function model is as follows: Where x is the total number of passengers arriving. Planned departure times for historical flights, This is the security check time for historical passengers.

3. A method for dynamically controlling the number of airport security inspection channels based on multi-dimensional parameters as claimed in claim 2, characterized in that: In step S2, the specific calculation process of the average arrival rate of passengers is: S2.1, input parameter x, and , then confirm the central time point in hours; S2.

2. Set the time range in hours to determine the time span before and after the central time point; S2.3, determine the boundaries of the time range, including early time points and late time points. The early time point is the central time point plus the time range, and the early time point represents the upper limit of the time range; the late time point is the middle time point, which represents the lower limit of the time range; S2.

4. Use the cumulative distribution function of the lognormal distribution to calculate the probability of a passenger arriving before the early time point and the late time point; S2.5, subtract the cumulative distribution function value at the later time point from the cumulative distribution function value at the earlier time point to obtain the probability of arrival within the specified time range; S2.

6. Multiply the total number of passenger arrivals by the probability of a passenger arriving within a specified time range to obtain the average passenger arrival rate.

4. A method for dynamically controlling the number of airport security inspection channels based on multi-dimensional parameters as claimed in claim 1 or 2, characterized in that: In step S1, the civil aviation security inspection system includes a reservation service module, a civil aviation passenger service module, a civil aviation channel service module and a civil aviation verification service module; the reservation service module is used to obtain reservation information, and the reservation information includes the number of reservations for easy security inspection passengers, the number of passengers who have obtained easy security inspection qualifications, the types of portraits of easy security inspection passengers, and the proportion of each type of easy security inspection passengers in the total number of easy security inspection passengers; the civil aviation passenger service module is used to obtain passenger information, and the passenger information includes the total number of arriving passengers, the types of portraits of ordinary security inspection passengers, and the proportion of each type of ordinary security inspection passengers in the total number of ordinary security inspection passengers; the civil aviation channel service module is used to obtain security inspection channel information, and the security inspection channel information includes the real-time recorded number of real-time security inspection channels, the number of passengers inspected per security inspection channel per hour, the total number of passengers inspected per hour, and the equipment status coefficient; the civil aviation verification service module is used to obtain verification information, and the verification information includes the credit evaluation and safety record of the passenger.

5. The method for dynamically controlling the number of airport security inspection channels based on multi-dimensional parameters as claimed in claim 4, characterized in that: After step S3, the method further includes the following steps: S4. The security check channel control system includes an intelligent recommendation module. Passengers make reservations for the easy security check service through the reservation platform of the reservation service module. The intelligent recommendation module determines which security check channel has the fastest security check speed based on the channel information obtained in real time by the civil aviation channel service module. The channel with the fastest security check speed is the optimal easy security check channel and ordinary security check channel. Then, the optimal easy security check channel information is sent to the easy security check passenger through the easy security check platform to recommend the easy security check passenger to the optimal easy security check channel, and the optimal ordinary security check channel information is sent to the security personnel, who guide the ordinary passengers to the optimal ordinary security check channel.

6. A method for dynamically controlling the number of airport security inspection channels based on multi-dimensional parameters as claimed in claim 4, characterized in that: In step S2, the types of passenger portraits for security inspection include business passengers, ordinary passengers, elderly passengers, and passengers with children. It is determined by the security check time required for each type of passenger.

7. The method for dynamically controlling the number of airport security inspection channels based on multi-dimensional parameters as claimed in claim 4, characterized in that: In step S2, the ratio R of passengers with easy security check is the ratio of passengers who have obtained the easy security check qualification to the total number of passengers who have passed the inspection. Whether the passenger has obtained the easy security check qualification is determined based on the credit evaluation and security record in the verification information.

8. The method for dynamically controlling the number of airport security inspection channels based on multi-dimensional parameters as claimed in claim 4, characterized in that: In step S2, the number of passengers passing through the security check channel per hour is the real-time security check rate of the security check channel. The average security check rate of the security check channel is the average value obtained by statistical analysis of the number of passengers passing through the security check channel over a period of time in historical data, and is calculated by the real-time number of security check channels and the number of passengers passing through each security check channel per hour.

9. The method for dynamically controlling the number of airport security inspection channels based on multi-dimensional parameters as claimed in claim 4, characterized in that: In step S2, the equipment status coefficient is monitored in real time by the civil aviation channel service module, and comprehensively considers the aging condition, maintenance condition, and current fault factor of the security inspection equipment on the security inspection efficiency.

10. The method for dynamically controlling the number of airport security inspection channels based on multi-dimensional parameters as claimed in claim 4, characterized in that: In step S2, and ' indicates the maximum number of passengers that can theoretically pass through a single general security check channel and an extended security check channel per hour under ideal conditions. This data is obtained by calculating the maximum number of passengers that passed through the general security check channel and the extended security check channel on the previous day.

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