A rapid ticket gate passenger flow monitoring and control system based on data analysis

Abstract

The present invention discloses a rapid ticket gate crowd flow monitoring and control system based on data analysis, relates to the technical field of crowd flow monitoring, and solves the technical problem in the prior art that it is impossible to perform crowd flow trajectory analysis on a ticket checking area, so that the entry and exit of mobile targets in the real-time ticket checking area easily causes deviations in crowd flow monitoring. Specifically, crowd flows in a waiting area within the ticket checking area that are inconsistent with the queuing direction of the area, and crowd flows in an interspersed area that are consistent with the interspersed direction of the crowd flows but have not passed through the current ticket checking area are uniformly marked as mobile targets, and entry target trajectory data and exit target trajectory data are obtained. According to the data analysis, target trajectory impact analysis is performed and crowd flow is monitored.

Description

Technical Field

[0001] The invention relates to the technical field of human flow monitoring, and in particular to a human flow monitoring and control system for a fast ticket gate based on data analysis. Background Art

[0002] In modern transportation hubs, crowd flow monitoring and control at rapid ticket gates is a key link in ensuring smooth and safe travel for passengers. Crowd flow monitoring can help the operation department to timely understand the passenger flow conditions at the rapid ticket gates. Through advanced sensors and data analysis technology, it can obtain real-time information such as the number of people passing through the ticket gates and flow rate. This enables relevant personnel to predict possible congestion in advance and take appropriate measures to ease the congestion.

[0003] However, in the existing technology, the ticket checking area is unable to perform impact analysis on real-time pedestrian flow, resulting in reduced efficiency of passage through the fast ticket checking gate. At the same time, the ticket checking area cannot be monitored by area type, so that accurate pedestrian flow monitoring cannot be performed. In addition, the passenger flow trajectory analysis of the ticket checking area is impossible, so that the entry and exit of mobile targets in the real-time ticket checking area can easily cause deviations in pedestrian flow monitoring.

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to solve the above-mentioned problems and to propose a rapid ticket gate passenger flow monitoring and control system based on data analysis.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] A rapid ticket gate passenger flow monitoring and control system based on data analysis, including a passenger flow monitoring and early warning platform, the passenger flow monitoring and early warning platform communication connection has:

[0008] The ticket checking area monitoring unit is used to mark the waiting area of ​​the fast ticket checking gate as the ticket checking area, and continuously monitor the ticket checking area. According to the departure time of the corresponding vehicle schedule in the ticket checking area, the floating span of the passenger flow in the ticket checking area is collected. According to the floating span of the passenger flow, the floating process of the passenger flow in the current ticket checking area is set as a single passenger flow cycle. The static passenger flow information and the dynamic passenger flow information of the area are collected, and the passenger flow monitoring of the ticket checking area is inferred based on the information comparison to determine whether there is a risk.

[0009] The area classification detection unit is used to set the waiting direction of the people flow in the current ticket checking area as the area queuing direction, and mark the pedestrian flow direction perpendicular to the area queuing direction in the current ticket checking area as the pedestrian interlacing direction, and at the same time mark the area where the area queuing direction is located as the waiting area, and mark the area where the pedestrian interlacing direction is located as the interlacing area; collect the area classification detection information, substitute it into the formula to obtain the area classification detection coefficient of the current ticket checking area, and determine whether the area classification detection of the ticket checking area is abnormal based on the coefficient comparison.

[0010] As a preferred embodiment of the present invention, the communication connection is also provided:

[0011] The target trajectory analysis unit is used to uniformly mark the flow of people in the waiting area of ​​the ticket inspection area that is inconsistent with the queuing direction of the area, and the flow of people in the interspersed area that is consistent with the interspersed direction of the flow but has not passed through the current ticket inspection area as moving targets, obtain the entry target trajectory data and the exit target trajectory data, perform target trajectory impact analysis based on data analysis, and monitor the flow of people;

[0012] The crowd flow prediction unit is used to collect regional time parameters and regional population parameters, and infer whether there is a deviation in the real-time crowd flow prediction based on parameter analysis.

[0013] As a preferred embodiment of the present invention, the regional static crowd flow information and the regional dynamic crowd flow information are respectively the minimum average crowd flow during the period of reduced crowd flow in the ticket checking area corresponding to adjacent single crowd flow cycles, and the continuous increasing rate of the peak span of increased crowd flow during the period of increased crowd flow in the ticket checking area corresponding to a single crowd flow cycle.

[0014] As a preferred embodiment of the present invention, if the regional static crowd flow information exceeds the maximum crowd flow average threshold, or the regional dynamic crowd flow information exceeds the span continuously increasing speed threshold, it is determined that there is a risk in crowd flow monitoring in the ticket checking area; if the regional static crowd flow information does not exceed the maximum crowd flow average threshold, and the regional dynamic crowd flow information does not exceed the span continuously increasing speed threshold, it is determined that there is no risk in crowd flow monitoring in the ticket checking area.

[0015] As a preferred embodiment of the present invention, the area classification detection information includes the frequency increase span of the position alternation of the interleaved areas in the waiting area in the current ticket checking area, the increase span of the continuous flow of people passing through non-same interleaved areas in the waiting area in the current ticket checking area, and the increase span peak value of the waiting area density of people in the current ticket checking area as the flow of people in the interleaved areas continues to pass through;

[0016] If the regional classification detection coefficient of the current ticket checking area exceeds the regional classification detection coefficient threshold, the regional classification detection of the ticket checking area is judged to be abnormal; if the regional classification detection coefficient of the current ticket checking area does not exceed the regional classification detection coefficient threshold, the regional classification detection of the ticket checking area is judged to be normal.

[0017] As a preferred embodiment of the present invention, the entry target trajectory data and the exit target trajectory data are respectively the ratio of the length of time the mobile target entering the ticket checking area stays at the sign position in the waiting area and the probability of not entering the waiting area, and the ratio of the length of time the mobile target leaving the ticket checking area stays in the waiting area and the length of time it moves in the interspersed area.

[0018] As a preferred embodiment of the present invention, if the entry target trajectory data exceeds the numerical ratio threshold, and the exit target trajectory data exceeds the duration ratio threshold, a crowd surge risk signal is generated; if the entry target trajectory data does not exceed the numerical ratio threshold, and the exit target trajectory data does not exceed the duration ratio threshold, a crowd reduction risk signal is generated.

[0019] As a preferred embodiment of the present invention, the regional time parameter and the regional population parameter are respectively the ratio of the time difference between the ticket checking times of adjacent departure times in the same ticket checking area and the duration of the increase in the flow of people in the ticket checking area, and the deviation value between the total flow of people in the waiting area corresponding to any ticket checking area and the actual number of people carried by the train.

[0020] As a preferred embodiment of the present invention, if the regional time parameter does not exceed the duration ratio threshold, and the regional population parameter does not exceed the quantity deviation value threshold, then it is determined that the passenger flow forecast in the ticket checking area has no deviation fluctuation; if the regional time parameter exceeds the duration ratio threshold, or the regional population parameter exceeds the quantity deviation value threshold, then it is determined that the passenger flow forecast in the ticket checking area has deviation fluctuation.

[0021] Compared with the prior art, the present invention has the following beneficial effects:

[0022] 1. In the present invention, the ticket checking area is monitored, and the fluctuation of the number of people in the ticket gate area is monitored alternately to infer whether there is an impact on the current flow of people in the ticket gate area, thereby improving the accuracy of the crowd flow warning and facilitating timely crowd flow control at the ticket gate to ensure the traffic efficiency of the fast ticket gate; the ticket checking area is subjected to regional classification detection, and the area division is set through the real-time crowd flow distribution of the ticket checking area and the detection and analysis are performed through the divided areas to infer whether there is an impact on the current crowd flow distribution in the ticket checking area, so as to facilitate the monitoring and control of the entire ticket checking area, so as to avoid the abnormal crowd flow in a single ticket checking area causing a decrease in the traffic efficiency of the entire ticket checking area, thereby reducing the efficiency of crowd flow monitoring and control.

[0023] 2. In the present invention, the flow trajectory of people in the ticket checking area is analyzed, and the flow trajectory analysis of people in the ticket checking area is used to infer whether there is a detection deviation in the fluctuation of the flow of people in the current area, so as to avoid the low accuracy of the detection of the inflow and outflow of people in the current ticket checking area, which leads to the inefficiency of the flow of people monitoring and control in the current ticket checking area, resulting in unnecessary execution of the flow control operation of the fast ticket gate, thereby disrupting the original setting of the ticket checking plan in the ticket checking area, causing the deviation between the regional supervision plan and the setting plan, and easily increasing the risk of inadequate control of the flow of people in the ticket checking area;

[0024] Real-time monitoring and prediction of passenger flow in the ticket checking area is carried out to facilitate more intuitive passenger flow control in the ticket checking area based on the passenger flow prediction, to ensure timely passenger flow control in the ticket checking area, and to ensure that the passenger flow planning efficiency of the entire area meets actual needs. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0026] Figure 1 This is a principle block diagram of Embodiment 1 of the present invention;

[0027] Figure 2 This is a principle block diagram of the second embodiment of the present invention. DETAILED DESCRIPTION

[0028] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0029] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0030] Embodiment 1

[0031] See also Figure 1 As shown, a rapid ticket gate passenger flow monitoring and control system based on data analysis includes a passenger flow monitoring and early warning platform, wherein the passenger flow monitoring and early warning platform is communicatively connected to a ticket inspection area monitoring unit, an area classification detection unit, and a target trajectory analysis unit;

[0032] The crowd flow monitoring and early warning platform generates a ticket checking area monitoring signal and sends it to the ticket checking area monitoring unit. After receiving the ticket checking area monitoring signal, the ticket checking area monitoring unit monitors the ticket checking area and monitors the number of people in the ticket gate area alternately to infer whether there is any impact on the current crowd flow in the ticket gate area, thereby improving the accuracy of crowd flow early warning and facilitating timely crowd flow control at the ticket gate to ensure the efficiency of passage at the fast ticket gate;

[0033] Mark the waiting area of ​​the fast ticket gate as the ticket checking area, and continuously monitor the ticket checking area. Collect the floating span of the passenger flow in the ticket checking area according to the departure time of the corresponding vehicle schedule in the ticket checking area, and set the passenger flow floating process of the current ticket checking area as a single passenger flow cycle according to the floating span of the passenger flow;

[0034] The lowest average passenger flow in the period of reduced passenger flow in the ticket checking area corresponding to the adjacent single passenger flow cycle is obtained, and the continuous increase speed of the peak span of the passenger flow increase in the period of increased passenger flow in the ticket checking area corresponding to the single passenger flow cycle is obtained. The lowest average passenger flow in the period of reduced passenger flow in the ticket checking area corresponding to the adjacent single passenger flow cycle and the continuous increase speed of the peak span of the passenger flow increase in the period of increased passenger flow in the ticket checking area corresponding to the single passenger flow cycle are marked as regional static passenger flow information and regional dynamic passenger flow information, and are compared with the maximum passenger flow average threshold and the span continuous increase speed threshold respectively:

[0035] If the minimum average of the passenger flow in the ticket checking area during the period of reduced passenger flow in the adjacent single passenger flow cycles exceeds the maximum average passenger flow threshold, or the continuous increase rate of the passenger flow increase peak span during the period of increased passenger flow in the ticket checking area in a single passenger flow cycle exceeds the continuous increase rate threshold, it is determined that there is a risk in passenger flow monitoring in the ticket checking area, and a monitoring warning signal is generated and sent to the passenger flow monitoring and warning platform. After receiving the monitoring warning signal, the passenger flow monitoring and warning platform continuously monitors the passenger flow in the ticket checking area and advances the opening time of the ticket gate channel or increases the number of ticket gates when the passenger flow continues to increase and approaches the historical peak value;

[0036] If the minimum average of the passenger flow in the period of reduced passenger flow in the ticket checking area corresponding to the adjacent single passenger flow cycle does not exceed the maximum average passenger flow threshold, and the continuous increase speed of the passenger flow increase peak span in the period of increased passenger flow in the ticket checking area corresponding to the single passenger flow cycle does not exceed the continuous increase speed threshold, it is determined that there is no risk in the passenger flow monitoring in the ticket checking area, and a monitoring safety signal is generated and sent to the passenger flow monitoring and early warning platform;

[0037] At the same time, an area classification detection signal is generated and sent to the area classification detection unit. After receiving the area classification detection signal, the area classification detection unit performs area classification detection on the ticket checking area, sets area divisions based on the real-time distribution of passenger flow in the ticket checking area, and performs detection and analysis through the divided areas to infer whether there is any influence on the passenger flow distribution in the current ticket checking area, so as to facilitate monitoring and control of the entire ticket checking area, and avoid abnormal passenger flow in a single ticket checking area causing a decrease in passenger flow efficiency in the entire ticket checking area, thereby reducing the efficiency of passenger flow monitoring and control;

[0038] The waiting direction of the people flow in the current ticket checking area is set as the regional queuing direction, and the pedestrian flow direction perpendicular to the regional queuing direction in the current ticket checking area is marked as the pedestrian flow interlacing direction. At the same time, the area where the regional queuing direction is located is marked as the waiting area, and the area where the pedestrian flow interlacing direction is located is marked as the interlacing area;

[0039] The frequency increase span of the position alternation of the interleaved areas in the waiting area in the current ticket checking area is obtained, and the increase span of the continuous flow of pedestrians in non-same interleaved areas in the waiting area in the current ticket checking area is obtained, and the frequency increase span of the position alternation of the interleaved areas in the waiting area in the current ticket checking area and the increase span of the continuous flow of pedestrians in non-same interleaved areas in the waiting area in the current ticket checking area are marked as PZK and RZK respectively;

[0040] At the same time, the peak value of the increase in the density of the waiting crowd in the waiting area in the current ticket checking area as the crowds in the interspersed area continue to pass through is obtained, and the peak value of the increase in the density of the waiting crowd in the waiting area in the current ticket checking area as the crowds in the interspersed area continue to pass through is marked as KDF;

[0041] The above collected data are uniformly marked as regional classification detection information, and substituted into the formula to obtain the regional classification detection coefficient JC of the current ticket inspection area, where the formula is: ; Among them, ghj1, ghj2, and ghj3 are the preset proportional coefficients of the increase span of the frequency of alternating positions, the increase span of the continuous pedestrian flow, and the increase span peak of the density of the waiting passenger flow, respectively, and e is a natural constant, and α is an error correction factor with a value of 0.99;

[0042] Compare the regional classification detection coefficient of the current ticket inspection area with the regional classification detection coefficient threshold:

[0043] If the regional classification detection coefficient of the current ticket checking area exceeds the regional classification detection coefficient threshold, the regional classification detection of the ticket checking area is determined to be abnormal, and a regional classification detection abnormality signal is generated and sent to the crowd monitoring and early warning platform. After the crowd monitoring and early warning platform receives the regional classification detection abnormality signal, it sets a passage position for the interspersed area in the waiting area within the current ticket checking area and passes through the interspersed area after the crowd density setting is completed;

[0044] If the regional classification detection coefficient of the current ticket checking area does not exceed the regional classification detection coefficient threshold, the regional classification detection of the ticket checking area is determined to be normal, and a regional classification detection normal signal is generated and sent to the crowd flow monitoring and early warning platform;

[0045] At the same time, a target trajectory analysis signal is generated and sent to the target trajectory analysis unit. After receiving the target trajectory analysis signal, the target trajectory analysis unit performs a crowd flow trajectory analysis on the ticket checking area. Through the crowd flow trajectory analysis in the ticket checking area, it is inferred whether there is a detection deviation in the fluctuation of the flow of people in the current area, so as to avoid the low accuracy of the detection of the inflow and outflow of people in the current ticket checking area, which causes the inefficiency of the crowd flow monitoring and control in the current ticket checking area, resulting in unnecessary execution of the crowd flow control operation at the fast ticket gate, thereby disrupting the original set ticket checking plan of the ticket checking area, causing the deviation between the regional supervision plan and the set plan, and easily increasing the risk of inadequate control of the flow of people in the ticket checking area;

[0046] The flow of people in the waiting area of ​​the ticket checking area that is inconsistent with the queuing direction of the area and the flow of people in the interspersed area that is consistent with the interspersed direction of the flow but has not passed through the current ticket checking area are uniformly marked as moving targets, and the numerical ratio of the length of time the moving target entering the ticket checking area stays at the position of the waiting area signboard and the probability of not entering the waiting area is obtained, where the numerical ratio only compares the numerical values ​​of the collected data to obtain the ratio to analyze the impact of different data trends; at the same time, the time ratio of the length of time the moving target leaves the ticket checking area stays in the waiting area and the length of time the moving target leaves the ticket checking area is obtained, and the numerical ratio of the length of time the moving target enters the ticket checking area stays at the position of the waiting area signboard and the probability of not entering the waiting area, and the time ratio of the length of time the moving target leaves the ticket checking area stays in the waiting area and the length of time the moving target leaves the ticket checking area are marked as entry target trajectory data and exit target trajectory data, and are compared with the numerical ratio threshold and the time ratio threshold respectively:

[0047] If the ratio of the duration of the waiting area stay to the duration of the movement in the interspersed area among the moving targets leaving the ticket checking area exceeds the numerical ratio threshold, and the ratio of the duration of the waiting area stay to the duration of the movement in the interspersed area among the moving targets leaving the ticket checking area exceeds the duration ratio threshold, it is inferred that the probability that the real-time detected passenger flow in the current ticket checking area is lower than the actual passenger flow is high, and a passenger flow surge risk signal is generated and sent to the passenger flow monitoring and early warning platform. After receiving the passenger flow surge risk signal, the passenger flow monitoring and early warning platform conducts real-time regulation of the rapid ticket gates, and regulates the opening of the rapid ticket gates while planning the passenger flow distribution in the ticket checking area;

[0048] If the time ratio of the length of time the moving target leaves the ticket checking area to the length of time it moves in the interspersed area does not exceed the numerical ratio threshold, and the time ratio of the length of time the moving target leaves the ticket checking area to the length of time it moves in the interspersed area does not exceed the time ratio threshold, it is inferred that the probability that the real-time detected passenger flow in the current ticket checking area is higher than the actual passenger flow is high, and a passenger flow reduction risk signal is generated and sent to the passenger flow monitoring and early warning platform. After receiving the passenger flow reduction risk signal, the passenger flow monitoring and early warning platform continuously monitors the passenger flow in the current ticket checking area and temporarily does not perform fast ticket gate control.

[0049] Embodiment 2

[0050] The previous embodiment performs a risk assessment of the flow of people in the ticket inspection area where the fast ticket gate is located, and infers whether there is a need for monitoring the flow of people at the fast ticket gate based on the real-time collected data analysis. This embodiment, based on the previous embodiment, predicts the flow of people in the area. Please refer to Figure 2 As shown, the crowd monitoring and early warning platform is connected to the crowd flow prediction unit through communication;

[0051] The crowd flow monitoring and early warning platform generates crowd flow prediction signals and sends them to the crowd flow prediction unit. After receiving the crowd flow prediction signals, the crowd flow prediction unit conducts real-time monitoring and prediction of the crowd flow in the ticket checking area, so as to more intuitively control the crowd flow in the ticket checking area according to the crowd flow prediction, ensure timely crowd flow control in the ticket checking area, and ensure that the crowd flow planning efficiency of the entire area meets actual needs;

[0052] Obtain the time ratio of the difference between the ticket checking times of the adjacent departure times in the same ticket checking area and the duration of the increase in passenger flow in the ticket checking area, and at the same time obtain the deviation between the total passenger flow in the waiting area corresponding to any ticket checking area and the number of passengers carried by the actual train. Mark the time ratio of the difference between the ticket checking times of the adjacent departure times in the same ticket checking area and the duration of the increase in passenger flow in the ticket checking area, and the deviation between the total passenger flow in the waiting area corresponding to any ticket checking area and the number of passengers carried by the actual train as regional time parameters and regional population parameters, respectively, and compare them with the time ratio threshold and the quantity deviation threshold, respectively:

[0053] If the ratio of the time difference between the ticket checking times of the adjacent departure times in the same ticket checking area to the duration of the increase in passenger flow in the ticket checking area does not exceed the time ratio threshold, and the number deviation between the total passenger flow in the waiting area corresponding to any ticket checking area and the number of passengers carried by the actual train does not exceed the number deviation threshold, then it is determined that there is no deviation in the passenger flow forecast of the ticket checking area, and a forecast accuracy signal is generated and sent to the passenger flow monitoring and early warning platform;

[0054] If the ratio of the time difference between the ticket checking times of the adjacent departure shifts in the same ticket checking area to the duration of the increase in passenger flow in the ticket checking area exceeds the time ratio threshold, or the deviation between the total passenger flow in the waiting area corresponding to any ticket checking area and the number of passengers carried by the actual shift exceeds the number deviation threshold, it is determined that there is a deviation in the passenger flow forecast of the ticket checking area, and a forecast deviation signal is generated and sent to the passenger flow monitoring and early warning platform; after receiving the forecast deviation signal, the passenger flow monitoring and early warning platform plans the passenger flow in the ticket checking area and makes a voice announcement when the passenger flow is insufficient, and announces the shifts and diverts the passengers simultaneously when the passenger flow is too large;

[0055] The above formulas are obtained by collecting a large amount of data and performing software simulation, and a formula close to the actual value is selected. The coefficients in the formula are set by technicians in this field according to actual conditions;

[0056] When the present invention is in use, the ticket checking area monitoring unit marks the waiting area of ​​the fast ticket checking gate as the ticket checking area, and continuously monitors the ticket checking area, collects regional static crowd flow information and regional dynamic crowd flow information, and infers whether there is a risk in the crowd flow monitoring of the ticket checking area based on information comparison; the area classification detection unit collects the regional classification detection information, substitutes it into the formula to obtain the regional classification detection coefficient of the current ticket checking area, and determines whether the regional classification detection of the ticket checking area is abnormal based on coefficient comparison; the target trajectory analysis unit obtains the entry target trajectory data and the exit target trajectory data, performs target trajectory impact analysis based on data analysis and monitors the crowd flow; the crowd flow prediction unit collects the regional time parameter and the regional number parameter, and infers whether there is a deviation in the real-time crowd flow prediction based on parameter analysis.

[0057] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A rapid ticket gate passenger flow monitoring and control system based on data analysis, characterized in that: Including crowd monitoring and early warning platform, the communication connections of crowd monitoring and early warning platform are: The ticket checking area monitoring unit is used to mark the waiting area of ​​the fast ticket checking gate as the ticket checking area, and continuously monitor the ticket checking area, collect the floating span of the passenger flow in the ticket checking area according to the departure time of the vehicle schedule corresponding to the ticket checking area, set the passenger flow floating process of the current ticket checking area as a single passenger flow cycle according to the floating span of the passenger flow, collect the regional static passenger flow information and the regional dynamic passenger flow information, and infer whether there is a risk in the passenger flow monitoring of the ticket checking area according to the information comparison; the regional static passenger flow information and the regional dynamic passenger flow information are respectively the lowest passenger flow average value of the passenger flow reduction period of the ticket checking area corresponding to the adjacent single passenger flow cycle, and the continuous increase speed of the passenger flow increase peak span of the passenger flow increase period of the ticket checking area corresponding to the single passenger flow cycle; The area classification detection unit is used to set the waiting direction of the flow of people in the current ticket checking area as the area queuing direction, and mark the flow of people in the current ticket checking area that is perpendicular to the area queuing direction as the direction of people interspersing, and mark the area where the area queuing direction is located as the waiting area, and mark the area where the flow of people interspersing direction is located as the interspersing area; collect the area classification detection information, substitute it into the formula to obtain the area classification detection coefficient of the current ticket checking area, and determine whether the area classification detection of the ticket checking area is abnormal based on the coefficient comparison; the area classification detection information includes the frequency growth span of the position of the interspersed area in the waiting area of ​​the current ticket checking area, the increase span of the continuous flow of people in non-same interspersed areas in the waiting area of ​​the current ticket checking area, and the increase span peak of the waiting flow density in the waiting area of ​​the current ticket checking area as the flow of people in the interspersed area continues to pass, and the labels PZK, RZK, and KDF are set respectively; the formula is: ; Among them, ghj1, ghj2, and ghj3 are the preset proportional coefficients of the increase span of the frequency of alternating positions, the increase span of the continuous pedestrian flow, and the increase span peak of the density of the waiting passenger flow, respectively, and e is a natural constant, and α is an error correction factor with a value of 0.99; If the regional classification detection coefficient of the current ticket checking area exceeds the regional classification detection coefficient threshold, the regional classification detection of the ticket checking area is judged to be abnormal; if the regional classification detection coefficient of the current ticket checking area does not exceed the regional classification detection coefficient threshold, the regional classification detection of the ticket checking area is judged to be normal.

2. According to the data analysis-based rapid ticket gate passenger flow monitoring and control system of claim 1, it is characterized in that: Other communication connections include: The target trajectory analysis unit is used to uniformly mark the flow of people in the waiting area of ​​the ticket inspection area that is inconsistent with the queuing direction of the area, and the flow of people in the interspersed area that is consistent with the interspersed direction of the flow but has not passed through the current ticket inspection area as moving targets, obtain the entry target trajectory data and the exit target trajectory data, perform target trajectory impact analysis based on data analysis, and monitor the flow of people; The crowd flow prediction unit is used to collect regional time parameters and regional population parameters, and infer whether there is a deviation in the real-time crowd flow prediction based on parameter analysis.

3. According to the data analysis-based rapid ticket gate passenger flow monitoring and control system of claim 1, it is characterized in that: If the static crowd flow information in the area exceeds the maximum crowd flow average threshold, or the dynamic crowd flow information in the area exceeds the span continuously increasing speed threshold, it is determined that there is a risk in crowd flow monitoring in the ticket checking area; if the static crowd flow information in the area does not exceed the maximum crowd flow average threshold, and the dynamic crowd flow information in the area does not exceed the span continuously increasing speed threshold, it is determined that there is no risk in crowd flow monitoring in the ticket checking area.

4. According to the data analysis-based rapid ticket gate passenger flow monitoring and control system of claim 2, it is characterized in that: The entry target trajectory data and the exit target trajectory data are respectively the ratio of the length of time the moving target entering the ticket checking area stays at the sign position in the waiting area to the probability of not entering the waiting area, and the ratio of the length of time the moving target leaving the ticket checking area stays in the waiting area to the length of time it moves in the interspersed area.

5. According to the data analysis-based rapid ticket gate passenger flow monitoring and control system of claim 4, it is characterized in that: If the data of the entry target trajectory exceeds the numerical ratio threshold and the data of the exit target trajectory exceeds the duration ratio threshold, a risk signal of a sudden increase in the flow of people is generated; if the data of the entry target trajectory does not exceed the numerical ratio threshold and the data of the exit target trajectory does not exceed the duration ratio threshold, a risk signal of a decrease in the flow of people is generated.

6. According to the data analysis-based rapid ticket gate passenger flow monitoring and control system of claim 2, it is characterized in that: The regional time parameter and regional population parameter are respectively the ratio of the time difference between the ticket checking times of adjacent departure times in the same ticket checking area and the duration of the increase in passenger flow in the ticket checking area, and the deviation value between the total passenger flow in the waiting area corresponding to any ticket checking area and the actual number of passengers carried by the train.

7. A rapid ticket gate passenger flow monitoring and control system based on data analysis according to claim 6, characterized in that: If the regional time parameter does not exceed the duration ratio threshold, and the regional population parameter does not exceed the quantity deviation value threshold, then the passenger flow forecast in the ticket checking area is judged to have no deviation fluctuation; if the regional time parameter exceeds the duration ratio threshold, or the regional population parameter exceeds the quantity deviation value threshold, then the passenger flow forecast in the ticket checking area is judged to have deviation fluctuation.

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