CN113159393A

CN113159393A - Passenger station passenger flow awareness early warning method and device, electronic equipment and storage medium

Info

Publication number: CN113159393A
Application number: CN202110341169.3A
Authority: CN
Inventors: 王建超; 张秋亮; 吴兴华; 杨栋; 王椿钧; 唐雯; 贾鹏程; 杨国元; 陈瑞凤
Original assignee: China Academy of Railway Sciences Corp Ltd CARS; China State Railway Group Co Ltd; Institute of Computing Technologies of CARS; Beijing Jingwei Information Technology Co Ltd
Current assignee: China Academy of Railway Sciences Corp Ltd CARS; China State Railway Group Co Ltd; Institute of Computing Technologies of CARS; Beijing Jingwei Information Technology Co Ltd
Priority date: 2021-03-30
Filing date: 2021-03-30
Publication date: 2021-07-23

Abstract

The invention provides a passenger station passenger flow awareness early warning method, a passenger station passenger flow awareness early warning device, electronic equipment and a storage medium, wherein the passenger station passenger flow awareness early warning method comprises the following steps: determining the passenger flow of any ticket checking port waiting area in a future time period based on the ticket buying passenger information and the train running time information; if the passenger flow is larger than the warning threshold value of the number of people corresponding to the future time period, sending out an early warning of overlarge passenger flow and generating a corresponding strategy; and adjusting the number of people alert threshold value based on the environmental factors corresponding to the future time period. The method, the device, the electronic equipment and the storage medium provided by the invention have the advantages that the environmental factors of the same day are brought into the consideration range of passenger flow analysis, and more accurate and reasonable large passenger flow early warning results can be obtained.

Description

Passenger station passenger flow awareness early warning method and device, electronic equipment and storage medium

Technical Field

The invention relates to the technical field of passenger flow analysis, in particular to a passenger flow notification early warning method and device for a passenger station, electronic equipment and a storage medium.

Background

With the further intensive development of a railway network, more and more people select railways to travel, so that the railway passenger station often has large passenger flow and even exceeds the designed passenger capacity of the station, certain influence is caused on ticket checking and checking organization of the passenger station, and the influence is caused by uncontrollable factors such as weather, thunder, geological disasters and the like, so that the train runs at a later point, particularly, the large-area later point of a general-speed train occurs occasionally, the condition of the large passenger flow of the passenger station needs to be adjusted and analyzed, and a reasonable emergency ticket checking strategy, a passenger station evacuation diversion strategy and other emergency disposal schemes are generated in time.

The existing passenger flow analysis method only predicts the total passenger number of the railway passenger station based on ticket purchasing information and train time chart information, but the pre-judgment calculation of the passenger number in each waiting area of a ticket gate in the passenger station needs further research, and the environmental factors in the same day are not considered for flexible adjustment, so that reasonable passenger flow awareness alarm information cannot be generated.

Therefore, how to avoid the situation that the prior passenger flow analysis method does not consider the unreasonable large passenger flow early warning information caused by the environmental factors of the current day is still a problem to be solved by technical personnel in the field.

Disclosure of Invention

The invention provides a passenger station large passenger flow awareness early warning method, a passenger station large passenger flow awareness early warning device, an electronic device and a storage medium, which are used for solving the defect that large passenger flow early warning information is unreasonable due to the fact that environmental factors on the same day are not considered in the existing passenger flow analysis method.

The invention provides a passenger station passenger flow informing and early warning method, which comprises the following steps:

determining the passenger flow of any ticket checking port waiting area in a future time period based on the ticket buying passenger information and the train running time information;

if the passenger flow is larger than the warning threshold value of the number of people corresponding to the future time period, sending out an early warning of overlarge passenger flow;

and adjusting the number of people alert threshold value based on the environmental factors corresponding to the future time period.

According to the passenger flow awareness early warning method for the passenger station, provided by the invention, the passenger flow of any ticket gate waiting area in a future time period is determined based on ticket buying passenger information and train running time information, and the method specifically comprises the following steps:

determining the boarding passenger volume of all bus times corresponding to any ticket checking port based on the ticket purchasing passenger information;

determining arrival time and departure time of all train numbers corresponding to any ticket checking port based on a train operation diagram timetable;

and determining the passenger flow of any ticket gate waiting area in a future time period based on the passenger volume of the passengers getting on the bus and the arrival and departure time.

According to the passenger flow notification early warning method for the passenger station bus, provided by the invention, the passenger flow of any ticket gate waiting area in a future time period is determined based on the passenger volume of the passenger getting on the bus and the arrival and departure time, and the method specifically comprises the following steps:

for any ticket checking train Z of any ticket checking port_xAccumulating the number of waiting passengers f at the time t in the future time period_x(t) is calculated by the following formula:

wherein x is 1,2, …, N is the number of train numbers corresponding to any ticket checking port, T_xIs the train number Z_xTime of driving at current station, number of cars Z_xThe total number of ticket buying passengers is M_xAt t₀The proportion of passengers arriving at the station is k, and the time of arriving at the station in advance satisfies (mu, sigma)²) Normal distribution of (2);

for any of the trains Z_xAccumulating the number of ticket inspectors r at a time t in a future time period_x(t) is calculated by the following formula:

wherein, t_xIs the train number Z_xOpening inspection time of v_xThe passing inspection speed of any ticket inspection port, namely the number of passengers who check tickets and enter the station per minute and the train number Z_xThe total number of ticket buying passengers is M_x；

The total number s (t) of passengers in any ticket gate waiting area at the time t in the future time period is calculated by the following formula:

wherein x is 1,2, …, N is the total number of all trains corresponding to any ticket checking port, f is_x(t) is any train Z_xAccumulating the number of waiting passengers, r, at a time t in the future time period_x(t) is any train Z_xThe number of ticket inspectors is accumulated at a time t within the future time period.

According to the passenger station passenger flow information early warning method provided by the invention, the train running time information comprises a train running chart schedule and train right and late point information;

correspondingly, after the standard passenger flow of any ticket checking port waiting area in the future time period is determined based on the ticket buying passenger information and the train operation chart schedule,

and correcting the standard passenger flow based on the train right and late point information to obtain the passenger flow of any ticket gate waiting area in the future time period.

According to the passenger station passenger flow information early warning method provided by the invention, the environmental factors comprise weather information, whether the weather is a major holiday and security and guard giving up information;

correspondingly, the people number alert threshold is adjusted based on the environmental factors corresponding to the future time period, and specifically includes:

if the weather information of the future time period is a severe condition or a major holiday, the number of people warning threshold is adjusted up on the basis of a reference threshold;

and if the security giving-up information in the future time period is the giving-up level, the number of people warning threshold is adjusted downwards on the basis of the reference threshold.

According to the passenger station passenger flow information early warning method provided by the invention, if the weather information in the future time period is severe or is a major holiday, the number of people warning threshold is adjusted up on the basis of the reference threshold, and if the security guard information in the future time period is the guard level, the number of people warning threshold is adjusted down on the basis of the reference threshold, specifically comprising the following steps:

calculating the number of people alert threshold T by the following formula_final：

T_final＝T_base×β

Wherein, T_baseAnd if the weather information of the future time period is a bad condition or a major holiday, the beta is larger than 1, and if the security and abstinence information of the future time period is a abstinence level, the beta is smaller than 1.

According to the passenger station bus of the invention provides and knows the early warning device, also include:

if any ticket gate waiting area gives an early warning of overlarge passenger flow,

generating a ticket checking strategy corresponding to any ticket checking port,

inquiring safety ticket gates of other early-warning unmanned aerial vehicles in the same station when the flow is too large;

and the safety ticket checking port bears the number of passengers at any ticket checking port, and informs the adjacent ticket checking port of any ticket checking port of sending out an early warning of overlarge passenger flow.

The invention also provides a passenger station bus notification early warning device, which comprises:

the sensing unit is used for determining the passenger flow of any ticket checking port waiting area in a future time period based on the ticket buying passenger information and the train running time information;

the early warning unit is used for sending out a pedestrian volume overlarge early warning if the passenger volume is larger than the pedestrian volume warning threshold corresponding to the future time period;

The invention also provides an electronic device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the program to realize the steps of the passenger station passenger flow warning and early warning method.

The invention also provides a non-transitory computer-readable storage medium having stored thereon a computer program which, when being executed by a processor, carries out the steps of the passenger station passenger flow awareness early warning method as described in any of the above.

The passenger station passenger flow awareness early warning method, the passenger station passenger flow awareness early warning device, the electronic equipment and the storage medium provided by the invention determine the passenger flow of any ticket checking port waiting area in a future time period based on the ticket buying passenger information and the train running time information; if the passenger flow is larger than the warning threshold value of the number of people corresponding to the future time period, sending out an early warning of overlarge passenger flow; and adjusting the number of people alert threshold value based on the environmental factors corresponding to the future time period. Because the environmental factors are included in the adjustment of the people number warning threshold value, a specific mode for considering the environmental factors is provided, and a more accurate and reasonable large passenger flow early warning result compared with the existing passenger flow analysis can be obtained. Therefore, the method, the device, the electronic equipment and the storage medium provided by the invention can be used for bringing the environmental factors of the current day into the consideration range of passenger flow analysis and obtaining a more accurate and reasonable large passenger flow early warning result.

Drawings

In order to more clearly illustrate the technical solutions of the present invention or the prior art, the drawings needed for the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.

FIG. 1 is a schematic flow chart of a passenger station passenger flow early warning method provided by the invention;

fig. 2 is a schematic structural diagram of a passenger station passenger flow warning and early warning device provided by the invention;

fig. 3 is a schematic physical structure diagram of an electronic device provided in the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

The existing passenger flow analysis method does not consider the problem of unreasonable large passenger flow early warning information caused by the environmental factors of the current day. The method for warning passenger traffic at passenger stations for passenger traffic flow according to the present invention is described below with reference to fig. 1. Fig. 1 is a schematic flow chart of a passenger station passenger flow early warning method provided by the invention, and as shown in fig. 1, the method comprises the following steps:

and step 110, determining the passenger flow of any ticket checking port waiting area in the future time period based on the ticket buying passenger information and the train running time information.

Specifically, the passenger flow awareness and early warning method for the passenger station, provided by the invention, predicts the passenger flow of all waiting areas of a ticket gate in a certain passenger station, and the prediction is directed at a future time period, wherein the future time period is generally a preset time period which is pushed backwards at the current time of obtaining the information of ticket-buying passengers, and the shorter the preset time period is, the more accurate the passenger flow prediction is, because the temporary ticket-buying passengers can be brought into an analysis range, but the shorter the preset time period is, the shorter the preparation time for carrying out emergency action according to the early warning result obtained by analysis is, namely, a comprehensive emergency scheme can not be adopted even if the large passenger flow is found in one or two hours in advance, so that the shortest time for implementing emergency early warning deployment is 2 hours, the future time period is generally within 2-24 hours after the current time of obtaining the information of ticket-buying passengers, and the future time period is farther from the current time, the more inaccurate the prediction result is, for example, 23 hours from the current time, some passengers may not purchase tickets, and some passengers may change the travel plan of the current train number while still being in the time for exchanging tickets, so that the accuracy of predicting the future time period 23 hours from the current time is difficult to guarantee, but the closer the future time period is to the current time, the more accurate the prediction result is, but the time for arranging the emergency evacuation plan for the station staff may be insufficient, and the implementation of the emergency evacuation plan requires at least 2 hours, so that the people flow is predicted at least 2 hours later, otherwise, even if the situation of large passenger flow occurs after 1 hour is predicted, the implementation of emergency evacuation cannot be completed in time, so the predicted advance time of the flow is a lower limit, and the prediction must be completed before the preset time length, people flow is dredged in time, temporary problems are prevented from being found and then are treated in a hurry, namely, the future time period is set to be within 2-24 hours after the current time for obtaining the ticket purchasing passenger information, namely, the ticket purchasing information obtained each time is used for counting the large passenger flow early warning condition of each ticket checking port within 2-24 hours in the future. When passenger flow estimation is carried out in a future time period, the passenger flow estimation is determined based on ticket buying passenger information and train running time information, wherein the ticket buying passenger information comprehensively realizes electronization of railway ticket buying, so that the number of passengers getting on the bus of a station needing to be subjected to people flow analysis can be inquired through Internet ticket buying records, specifically, the number of passengers getting on the bus of the bus corresponding to each ticket checking port can be found, the arrival and departure time of a train can be known through the train running time information, the number of passengers getting on the bus corresponding to the arrival time is used for pre-judging the number of passengers gathered in a waiting area in the future time period, and the number of passengers getting on the bus corresponding to the departure time is used for determining the number of passengers reduced in the waiting area in the time period, so that the passenger flow of the waiting area at any ticket checking port, namely the accumulated number of passengers is determined. It should be noted that the train operation time information may be determined by a fixed train operation diagram schedule, which is the same every day, and standard departure, arrival, departure and departure times are recorded thereon, or temporary train right and late information may be added on the basis of the standard train operation diagram schedule, because the later time of the future time period relative to the acquisition time of the ticket buying passenger information is limited, the information of the right and the later points which can be acquired in different future time periods is different, the information of the right and the later points of the train can not be acquired because the train does not send out in the early stage of passenger flow analysis and early warning in some cases, therefore, the train running time information selects and uses the train right and later information to perform more accurate passenger flow analysis and large passenger flow early warning judgment only when the right and later information of the train number to be analyzed can be acquired at the time of passenger flow analysis. The method has the advantages that 24-hour passenger flow perception is used as basic prediction, basic early warning judgment can be generated for a ticket checking port, station personnel can pay attention to early warning conditions of a certain ticket checking port in a certain time period (generally, the early warning conditions are in the waiting time period before the train is driven by the train number corresponding to large passenger flow) more than twenty hours in advance, and strategies such as maintenance security and the like for organizing the queuing order of passengers at the ticket checking port, moving the railway public security and the like are generated in advance for railway passenger transport workers; the 24-hour passenger flow perception can be achieved by pulling a time progress bar from 2 hours to 24 hours, visual passenger flow streamline condition display is generated, and emergency early warning strategies can be exercised in advance.

Step 120, if the passenger flow is larger than the warning threshold of the number of people corresponding to the future time period, sending out an early warning of overlarge passenger flow; and adjusting the number of people alert threshold value based on the environmental factors corresponding to the future time period.

Specifically, when people flow over-warning is performed, the number of people gathered in the waiting area at the ticket gate at any time in the future time period is compared with a number-of-people warning threshold corresponding to any time, once the number of people gathered in the waiting area at the ticket gate exceeds the threshold, people flow over-warning is sent out, and the number-of-people warning threshold needs to be adjusted based on environmental factors corresponding to the future time period. The environmental factors corresponding to the future time period comprise factors which can influence the advance arrival of passengers or the jam of the passengers, and also comprise factors which can limit the accumulation of the passengers in the waiting area. For example, when the weather is bad, the passengers can arrive at the station and wait for a longer time than when the weather is fine, and it is also normal that the waiting hall is properly crowded, without the need of sending out an early warning report, when a serious holiday is met, such as the first day or the last day of five-day long holidays or seven-day long holidays, then the passengers need to wait for the traffic jam for a longer time in advance due to the fact that a large number of passengers go out, and the situation that the waiting hall is properly crowded is also a normal situation, when the security level is higher, such as important international and domestic conference holding period or epidemic period, the security requirements are strictly up to the level of abstinence or the upper limit of the number of people gathering in indoor places needs to be greatly reduced to avoid spreading epidemic diseases, the upper limit of the number of people in waiting halls is greatly reduced, namely, the number of people is decreased, and the people exceeding the security requirement or the epidemic aggregation limit is early warned that the people flow is too large. Therefore, the invention takes the consideration of the influence of environmental factors into the adjustment of the warning threshold parameters of the number of people, and realizes more accurate and reasonable early warning of the overlarge pedestrian volume under different environments.

The invention provides a passenger station passenger flow awareness early warning method, which determines the passenger flow of any ticket gate waiting area in the future time period based on ticket buying passenger information and train running time information; if the passenger flow is larger than the warning threshold value of the number of people corresponding to the future time period, sending out an early warning of overlarge passenger flow; and adjusting the number of people alert threshold value based on the environmental factors corresponding to the future time period. Because the environmental factors are included in the adjustment of the people number warning threshold value, a specific mode for considering the environmental factors is provided, and a more accurate and reasonable large passenger flow early warning result compared with the existing passenger flow analysis can be obtained. Therefore, the method provided by the invention realizes that the environmental factors of the current day are brought into the consideration range of passenger flow analysis, and a more accurate and reasonable large passenger flow early warning result is obtained.

Based on the above embodiment, in the method, determining the passenger flow volume of any ticket gate waiting area in a future time period based on the ticket buying passenger information and the train running time information specifically includes:

Specifically, since railway ticketing has realized a comprehensive online statistical function, the railway ticketing website server stores ticketed information of all train numbers, including the number of people getting on or off the train at each station and the information of the ticket gate platform corresponding to the getting on the train. Because the invention needs to analyze and predict the passenger flow of any ticket gate waiting area of a certain passenger station, the number of passengers getting on the bus corresponding to each bus number at the ticket gate needs to be extracted from the server of the Internet ticketing website, all passengers getting on the bus need a process of waiting at the ticket gate waiting area, therefore, the number of passengers waiting for a certain train number gathered in a preset time period can be obtained by analyzing the arrival time and the number of passengers getting on the train of each train number corresponding to the ticket checking port, the preset time period is determined based on the waiting time habit of passengers, for example, most of the passengers enter a waiting area in advance for waiting for ticket checking half an hour, so the waiting time habit can be constructed by the following mathematical model, all passengers getting on the bus in the bus number are in average value in half an hour in advance, variance is in positive distribution of one quarter of a minute to construct a waiting time habit model, and the waiting time habit model can be used for subsequent passenger flow analysis. The arrival and departure time of each train pass can be estimated through a train operation diagram timetable, wherein the train operation diagram timetable is a timetable for departure of all train passes, arrival and departure of each station and collection of all trains arranged based on fixed departure information every day. Since the analysis and estimation of the passenger flow are carried out in advance, the train arrival and departure time which is updated in real time and contains the information of the right and the later points cannot be obtained under the condition that the train does not depart at the current time of the predicted train number required in the future time period, and the arrival and departure time of the train number corresponding to the ticket checking port is determined directly through the train operation diagram timetable. The passenger flow of any ticket gate waiting area in the future time period is actually the accumulated passenger number of the waiting area formed by considering the difference between the passengers waiting for the incoming bus at each moment and the passengers getting on the bus at the ticket gate. Therefore, the passenger flow of any ticket gate waiting area in the future time period is determined based on the passenger volume of the passengers getting on the bus and the arrival and departure time.

Based on the above embodiment, in the method, the determining the passenger flow volume of any ticket gate waiting area in a future time period based on the boarding passenger volume and the arrival and departure time specifically includes:

wherein, x is 1,2, N is the number of train times corresponding to any ticket checking port, Tx is the number of train times Z_xTime of driving at current station, number of cars Z_xThe total number of ticket buying passengers is M_xAt t₀The proportion of passengers arriving at the station is k, and the time of arriving at the station in advance satisfies (mu, sigma)²) Normal distribution of (2);

wherein, x is 1,2, N is the total number of all trains corresponding to any ticket checking port, T_xIs the train number Z_xTime of driving at current station, number of cars Z_xThe total number of ticket buying passengers is M_xAt t₀The proportion of passengers arriving at the station is k, and the time of arriving at the station in advance satisfies (mu, sigma)²) Normal distribution of (2);

wherein, t_xIs the train number Z_xOpening inspection time of v_xThe number of passengers who check tickets and enter the station per minute at any ticket checking port and the train number Z_xThe total number of ticket buying passengers is M_x；

wherein, x is 1,2, N is the total number of all trains corresponding to any ticket checking port, f_x(t) is any train Z_xAccumulating the number of waiting passengers, r, at a time t in the future time period_x(t) is any train Z_xThe number of ticket inspectors is accumulated at a time t within the future time period.

Specifically, the waiting time habit of passengers is satisfied based on the advanced arrival time (mu, sigma)²) The mathematical model of positive space distribution is constructed, so that the number f of people entering the corresponding waiting area of the ticket gate to wait is accumulated at the time t in the future time period_x(t) the formula can be constructed by calculating the area of the region under the normal distribution curve:

wherein, x is 1,2, N is the total number of all trains corresponding to any ticket checking port, T_xIs the train number Z_xTime of driving at current station, number of cars Z_xThe total number of ticket buying passengers is M_xAt t₀The proportion of passengers arriving at the station is k, and the time of arriving at the station in advance satisfies (mu, sigma)²) Positive-negative distribution of;

for the process that the number of accumulated ticket checking people in a waiting area is reduced due to the fact that passengers enter the station through the ticket checking port at a constant speed when a train enters the station and the passengers get on the station through the ticket checking port, the number f of accumulated ticket checking people at the time t in the future time period is calculated through the following formula_x(t)：

Finally, f for causing instantaneous increase of number of passengers in waiting area of ticket gate_x(t) and r causing a momentary reduction in the number of passengers in the waiting area at the ticket gate_x(t) calculating difference, and after accumulating and summing all the train numbers corresponding to the ticket checking port, obtaining the total number s (t) of passengers at the time t in the future time period:

Based on the embodiment, in the method, the train operation time information comprises a train operation chart schedule and train right and late point information;

Specifically, if the information of ticket buying passengers and the train running time information are extracted at present to analyze and warn the passenger flow of a waiting area of any ticket gate in a future time period, the information of the right-and-late point of any ticket gate corresponding to some train times can be obtained, and then the standard passenger flow is corrected based on the information of the right-and-late point of the train to obtain the passenger flow of the waiting area of any ticket gate in the future time period. The specific correction mode is that the arrival time of the train is added with the later time on the basis of the standard arrival time acquired from the train operation diagram timetable, the departure time of the train is added with the later time on the basis of the standard departure time acquired from the train operation diagram timetable, and then the passenger flow is analyzed and predicted according to the corrected arrival time and departure time of the train.

Based on the embodiment, in the method, the environmental factors comprise weather information, whether the weather is a major holiday and security and guard giving up information;

Specifically, the invention classifies environmental factors affecting the condition of large amount of passengers gathering or passenger sparsity into three categories: weather information, whether the information is a major holiday and security and guard giving up information. When the passengers meet severe weather such as rain, snow, typhoon and the like, the passengers can arrive at the station for waiting for a longer time than in fine weather, and the waiting hall is also normal when the passengers are properly crowded, so that the standard threshold for large passenger flow early warning in the ordinary period can be adjusted upwards at the moment, more passengers can be accommodated conveniently without sending an early warning report of overlarge passenger flow; when a major holiday is encountered, for example, the first day or the last day of a five-day long holiday or a seven-day long holiday, the situation that passengers get to a station for a longer time in advance due to traffic jam needs to be considered as a result of a large number of passengers going out, and the situation that a waiting hall is properly crowded is also a normal situation, so that the standard threshold for large passenger flow early warning in a common period can be adjusted upwards, more passengers can be accommodated conveniently without sending an excessive passenger flow early warning report; when the security level is higher, such as during major international and domestic conference holding or in a period of occurrence of epidemic diseases, the security requirement strictly reaches the abstinence level or the upper limit of the number of people gathered in indoor places needs to be greatly reduced to avoid the spread of the epidemic diseases, the upper limit of the number of people in the waiting hall is greatly reduced, namely the warning threshold of the number of people is reduced, and people exceeding the security requirement or the limit of the gathering of the epidemic diseases are subjected to people flow rate over-large early warning.

Based on the above embodiment, in the method, if the weather information in the future time period is a bad condition or a major holiday, the number of people alert threshold is adjusted up on the basis of a reference threshold, and if the security guard information in the future time period is a guard level, the number of people alert threshold is adjusted down on the basis of the reference threshold, specifically including:

calculating the number of people alert threshold T by the following formula_fina1：

T_final＝T_base×β

Specifically, the method for adjusting the reference threshold up or down is further defined by the above formula, and both up and down adjustment are realized by multiplicative adjustment coefficients, the value of the adjustment coefficient corresponding to up adjustment is greater than 1, and the value of the adjustment coefficient corresponding to down adjustment is less than 1. It should be noted here that the reference threshold corresponding to any waiting area of the ticket gate is a fixed value, each piece of passenger transportation related equipment in the waiting area to which the ticket gate of the passenger station belongs operates normally, and the station room is not damaged or failed, the reference threshold is set according to the designed capacity of the waiting room of the design institute, when no more than 5% of the area of the waiting area of the ticket gate can not be normally provided for passenger waiting due to the fault or damage of the station room of the passenger station, and the reference threshold is set according to 95% of the designed capacity of the waiting room of the design institute. The following detailed description is provided for the adjustment coefficients under different subdivision environmental factors:

for the case where there is a security task or level of abstinence:

when a first-level guard object attends a conference, the holding place reaches a train passing through the station, and the adjustment coefficient beta of the security task corresponding to the political security task is 0.7;

the second-level guard object attends the participated conference, the holding place reaches the train passing through the station, and the adjustment coefficient beta of the security task corresponding to the political security task is 0.8;

the conference attended by the third-level guard object arrives at the station where the train passes through, and the adjustment coefficient beta of the security task corresponding to the political security task is 0.85.

For weather conditions with unfavorable travel:

the adjustment coefficient beta of the weather corresponding to the rainfall level that the rainfall exceeds 9.9mm within 12 hours and the rainfall does not exceed 9.9mm within 6 hours is 1.05;

the adjustment coefficient beta of the weather corresponding to the rainfall level with the rainfall range within (10, 14.9 mm) within 6 hours is 1.1;

the adjustment coefficient beta of the weather corresponding to the rainfall level with the rainfall exceeding 15mm within 6 hours is 1.15;

the adjustment coefficient beta of the weather corresponding to the snowfall grade with the snowfall amount exceeding 5.9mm in 12 hours and the snowfall amount not exceeding 5.9mm in 6 hours is 1.05;

the adjustment coefficient beta of weather corresponding to the snowfall grade with the snowfall amount within (6, 9.9) mm within 6 hours is 1.1;

the adjustment coefficient beta of weather corresponding to the snowfall grade with the snowfall amount exceeding 15mm within 6 hours is 1.15;

when the wind speed reaches 10.8m/s and is not more than 19.1m/s, the adjustment coefficient beta of the weather corresponding to the strong wind is 1.05;

when the wind speed reaches 19.2m/s and is not more than 27.9m/s, the adjustment coefficient beta of the weather corresponding to the strong wind is 1.1;

when the outdoor temperature is between-19.9 and-31 ℃ or between 30 and 41 ℃, the adjustment coefficient beta of the weather corresponding to the air temperature is 1.1.

For the case where there is a future time period belonging to a major holiday:

when the date of the future time period is the day before or after the day with the date more than 5 days, the adjusting coefficient beta corresponding to the festival is 1.05;

when the date is within the holiday of the five-labor section or the national day section, the adjusting coefficient beta corresponding to the festival is 1.1.

Based on the above embodiment, the method further includes:

Specifically, at the time of analyzing the early warning, if a situation that a large passenger flow is crowded at any ticket gate in a future time period is found, an emergency processing scheme needs to be adopted immediately, wherein one scheme is that a waiting area of the ticket gate with an unsaturated number of other passengers is searched in the same station and corresponds to the same station, and then one or more times of the times corresponding to the ticket gate with the early warning of the overlarge passenger flow are transferred to the unsaturated ticket gate to check the ticket and get on the bus under the condition that the overlarge passenger flow at the unsaturated ticket gate is ensured not to be caused, so that shunting processing is realized. Aiming at the problems that the shortest passenger flow perception within 2 hours correspondingly generates an emergency early warning scheme and implements landing, strategies can be adaptively generated according to different conditions. Some simple and fast-implemented people flow dredging modes also comprise ticket checking in advance for several minutes, often one ticket checking port can be communicated with a plurality of platforms through one large channel, and a public channel area can share part of passenger capacity for a waiting room (but passenger organization personnel, railway public security and the like are also configured to carry out on-site organization order), so that the problem of overlapping and stacking of waiting passengers of a plurality of trains caused by the late spots of the trains can be solved by checking the tickets in advance for several minutes, and the crowd gathered in the waiting area of the ticket checking port can be evacuated to the platforms for waiting; also, passengers are manually guided to get on the platform on designated escalators, guided by movable telescopic fenders, and the like. The highest level of emergency scenario is to change the ticket gate.

Based on the embodiment, the invention provides a railway passenger station large passenger flow perception and emergency disposal method based on example description, which comprises the following steps:

and step S1, obtaining the information of passengers arriving through internet ticketing, the information of train running time, the passenger flow density information of a ticket gate in a waiting room, the information of right and late trains and the weather information.

Specifically, step S1 includes the following steps:

step S11: obtaining the number information N of passengers getting on or off a train at a ticket checking port N of a passenger station of a certain train number through an internet ticketing system interface_nAnd the running chart time information of the ith train for checking the ticket at the ticket checking port n

For example, a station A is obtained, 800 persons get on the train for the 1 st K667 times of ticket checking at a 5 th ticket checking port; acquiring 653 persons who buy tickets and get on the train at the station A and at the No. 2K 928 time of ticket checking at the No. 5 ticket checking port; and acquiring the A station, and checking the ticket at a 5 th ticket checking port for 3 rd K1012 times of train ticket purchasing and getting on 796 persons.

Step S12: acquiring passenger flow density information of a ticket checking port of a waiting room of a video acquisition and analysis system of a railway passenger station;

for example, the passenger flow density information of the waiting area of the 5 th ticket gate belonging to the waiting hall in the waiting time period of the 1 st trip at the station A is obtained to be 1.2,

step S13: obtaining the information of the train at the later point through a dispatching interface, for example, obtaining 2 hours and 1 hour.2 hours of the train at the 5 th ticket checking entrance in the 1 st and 2 nd times;

step S14: weather information is acquired, for example, if rain and snow weather outside a passenger station is acquired, most passengers choose to enter the station in advance to wait.

Step S2: and passenger information, train running chart time information and passenger flow density information of a ticket gate of a waiting room are fused, and passenger flow at the ticket gate of the passenger station and the passenger flow change trend of the future time period are automatically sensed and generated.

Specifically, step S2 includes the following steps:

step S21: calculating the number of passengers waiting for a ticket checking port of a passenger station according to the number of passengers and the train arrival information in the obtained ticketing information;

following the example in step S1, for example, suppose that a passenger who checks tickets at the 5 ticket gate will wait for 80 minutes, and if there are 3 trips in the ticket gate for 80 minutes, the passenger waits for each tripThe number of passengers is 1800, 1653 and 1796 respectively, and the number of passengers N with ticket checking port 5_nComprises the following steps:

step S22: according to the obtained train running time information of the passenger ticket interface, setting a K667 diagram as the driving time 12:02, the current time is 10: 47, calculating the remaining time to drive for the 1 st train passenger waiting at the ticket gate 5

Comprises the following steps:

step S23: taking the time of arrival of K667 train passengers taking the train at the station A as an example for verification, the statistical historical data shows that: the station-entering time parameter x and the probability density f (x) of 25 percent of passengers enter the station 80min before the driving, 75 percent of passengers enter the station 0-80 min before the driving, and the station-entering time parameter x and the probability density f (x) of the passengers entering the station 0-80 min before the driving obey Gaussian distribution of mu and sigma.

Wherein x is the transformation of the passenger arrival time, and the transformation relation is as follows:

x＝(h×60+m)/10。

wherein h and m represent hours and minutes, and if the train driving time is 12:02, corresponding to x is 72.2.

And extracting the inbound data of inbound passengers within 0-80 min before starting, drawing a histogram, carrying out normalization processing, superposing a probability density function f (x), and carrying out data comparison.

Further, the number of passengers waiting for the bus at the ticket gate 5 which have arrived at the station can be predicted by the probability density function f (x), table 1 is a table of the predicted number of passengers arriving at the station, and table 1 is as follows:

TABLE 1 predicting number of people coming to a stop

Time	Predicted value/person
		10：42	71
10：52	78
		11：02	98
11：12	134
		11：22	181
11：32	232
		11：42	267
11：52	282
		12：02	289

After the examination is started, the number of passengers can be linearly reduced along with the time t. The number of passengers waiting at the ticket gate 5 for the 1 st train is determined according to the total number of ticket buying passengers contained in the Internet ticket selling information

The number of people waiting for the bus in real time is as follows:

step S25: for the ticket gate 5, the number of waiting people is N according to the passenger flow density information fed back by the video acquisition and analysis system_nCorrecting to obtain the actual number of people at the ticket gate with a correction coefficient of alpha_n1.1, having NR_n＝N_n*α_n＝1632*1.1＝1795。

Step S26: according to the analysis of the 1 st train at the 5 th ticket gate as an example, the train maps the departure time 12 at the A station in combination with the ticket numbers 1653 and 1796 of the follow-up trains K928 and K1012 at the 5 th ticket gate: 22 and 12: 42, obtaining a passenger flow distribution model M as follows:

step S27: the 1 st pass K928 according to the 5 th checkpoint described above is at 10: 4212: there were approximately 1632 people in the 02 time period. Ticket gate 5, pass 2K 928 at 11: 02-12: there were approximately 1221 people in the 22 th period. At the 5 th checkpoint, pass 3K 1012 at 11: 22-12: there were approximately 1266 people during period 42.

Step S28: according to the passenger flow distribution algorithm of the passenger flow perception model, a time period accurate to minutes can be obtained, for example, in the waiting time overlapping time period 11 of the 1 st, 2 nd and 3 rd trains at the fifth ticket gate: 2212: 02, the total number of waiting people can reach more than 2663 people. Taking the 1 st train K667 at the 5 th ticket gate as an example, the time distribution of the number of waiting passengers of all the ticket checking trains at the 5 th ticket gate all day and the total number of waiting passengers of adjacent ticket checking trains in the same time period can be obtained by the passenger flow perception model.

And step S3, integrating weather information, major holiday activities and security task information, and comprehensively sensing the traffic waiting number warning threshold value at the ticket gate of the waiting room.

Specifically, step S3 includes the following steps:

step S31: according to the capacity of the passenger station and the running state information of the management and control platform equipment, passenger service passenger transport management equipment such as elevators, radio and ventilation air conditioners are normal, the capacity of passengers is designed by combining with a ticket gate of a waiting room, and the experience of field personnel of the passenger station is fully respected.

For example, a reference guard threshold of 2000 persons is set for the number of persons waiting in the waiting area to which the 5 th ticket gate belongs.

Step S32: waiting number warning threshold NT of certain ticket gate n_nCorrected for NT, are:

NT_n＝NT×β

beta is related to weather (rain, snow and strong wind), major holiday activities, security tasks and the like; the weather and festival threshold values are increased, and the security threshold value is reduced.

On the day, five holidays are formed, the passenger flow is increased more frequently, the threshold value of the ticket gate of the waiting room is expanded properly to meet the passenger taking demand, beta is 1.1, and the corrected warning threshold value of the number of passengers waiting at the 5 th ticket gate is as follows: 2000 × 1.1 ═ 2200 humans.

And step S4, according to the passenger flow distribution data generated by the passenger flow perception model, the trend of the future time period and the passenger flow warning threshold value, autonomously analyzing and defining different levels of emergency disposal, generating a ticket gate train start and stop detection strategy corresponding to the level of emergency disposal by combining the train night information, linking with urban public transportation, and generating evacuation and diversion measures inside and outside the passenger station.

Specifically, step S4 includes the following steps:

step S400: when the number of the ticket checking gates capable of working normally at a certain ticket checking port of a waiting room of a passenger station is kept constant, and on the premise that the passing capacity of the ticket checking port is constant, the number of passengers to be checked is more, the time consumed by passing through the gates is longer, and the time required by the ticket checking at the ticket checking port and the number of passengers waiting for checking are in accordance with linear relation distribution.

Step S401: and (3) starting III-level early warning by relevant departments and personnel for ticket checking in a waiting room: according to the passenger flow distribution of the ticket checking ports of the waiting room and the prediction information of the future time period generated by the passenger flow perception model, when the passenger flow is larger than or equal to the queuing capacity of the passengers at the current ticket checking ports, or the passengers queue to the opposite ticket checking ports or occupy all the space in front of the belonged ticket checking ports, the departments of passenger transport, emergency handling and the like are informed, S-shaped flow guide channels of the fence are organized, and the departments of passenger transport, public security and the like are informed to take charge of the queuing order.

According to the design scheme of the passenger station, the 5 th ticket gate is only a 5 th ticket gate when a train K667 stops on the 5 th track.

According to the waiting area of the 5 th ticket gate at 11: 22-12: the total number of people in the overlapping waiting time period of the three trips of the train at the time period of 02K 667, K928 and K1012 2663, exceeds the revised threshold value 2200 for the number of passengers in the waiting area of the 5 th ticket gate, and exceeds the capacity of the queuing area right in front of the 5 th ticket gate.

The emergency disposal model system generates an emergency scheme: notifying departments such as departments of equipment departments and emergency departments, organizing S-shaped flow guide channels of the fence, orderly queuing for ticket checking, and notifying departments such as passenger transport, public security and the like to take charge of queuing order.

Step S402: according to the train night information acquired from scheduling, the number of passengers in the outbound area is increased sharply, passengers are evacuated by linking city buses, taxis, subways and the like at stations for additional driving times, railway public security at the stations and queuing waiting of passengers are organized, and the passengers are guided by a large broadcast screen.

According to the train late point of the ticket checking port of the station A, such as 1 st, 4 th, 8 th, 12 th and the like obtained from the scheduling, at 11: 52-12: when a plurality of trains arrive at the station A in 12 time periods, the total number of passengers getting off the station A in the later train number acquired by the passenger ticket system reaches 5000, so that the number of passengers in the outbound area is increased greatly in the time period. The emergency disposal model system generates an emergency disposal scheme: the passenger station shall link the city buses, taxis, subways and the like at the station to add driving times, perform preferential scheduling and the like to effectively unthread passengers out of the station, organize station railway public security and passenger personnel to organize queuing and waiting, and the large broadcasting screen guides the passengers to efficiently leave the station to avoid long-time detention.

Step S41: according to the passenger flow distribution of the waiting room ticket gate generated by the passenger flow perception model and the passenger flow perception representation information in the future period, the number of passengers waiting at the waiting room ticket gate is NT_nBased on the number of people exceeding the threshold value, the ticket checking time t1 is calculated, and the time t1 is combined with the arrival time of the train and the shortest receiving preparation time of the passengerAnd (4) starting ticket checking at the first t11, organizing railway polices at stations and passengers to queue and wait, and broadcasting a large screen to guide passengers.

According to the passenger flow distribution of the passenger flow perception model, the emergency handling model system analyzes that about 400 passengers exceed the threshold value of the capacity of passengers in a waiting area of a 5 th ticket gate of a waiting room in a time period of 11: 22-12:02, wherein about 150 passengers are passengers checking tickets at the latest time K667, the time required for the 150 passengers to check tickets exceeding the threshold value to pass through a gate is calculated for 3 minutes, and a ticket checking strategy is generated 2 minutes ahead of time by combining the arrival time of a train and the shortest receiving preparation time of passengers, and the passenger transport and comprehensive control room and a command center are informed; and organizing station railway public security and passenger personnel to queue and wait for vehicles, and broadcasting large screens to guide passengers.

Step S42: and (3) starting II-level early warning by relevant departments and personnel for ticket checking in the waiting room: according to the train late information acquired from the scheduling interface, the ticket checking times late of the ticket checking entrance causes the following train waiting passengers to arrive at the ticket checking entrance and wait in the same time period, and the number of waiting passengers is larger than the threshold NT of the number of waiting passengers at the ticket checking entrance_nAnd when waiting seats near the ticket checking port are full, the ticket checking time t2 of the number of people exceeding the threshold is calculated, the ticket checking is started at the time t22 in advance by combining the arrival time of the train and the shortest waiting time of the passenger, the station railway public security is organized, the passenger is organized to queue for waiting, and the large screen is broadcast to guide passengers.

The emergency disposal model system sets a 5 th ticket checking port K667 for 20 minutes later according to the later train information acquired from the scheduling interface, so that K667 and K928 trains are concentrated into 12 times: 22 ticket checking, waiting at 11: 02- -12: 22 waiting for 3453 passengers at the ticket gate, combining the waiting number of the following adjacent trains at the ticket gate, waiting for passengers more than 3453 in the overlapping time period, exceeding 2200 of the 5 th ticket gate, fully filling the waiting seats near the ticket gate, calculating the time of ticket checking for passengers exceeding 2200 for 7 minutes, starting the K667 times of train checking in advance according to the sequence of arrival and receiving of the trains, combining the arrival time of the trains and the shortest waiting time of the passengers, organizing the public security of the railway stations and the passengers to organize the queuing waiting, and broadcasting a large screen to guide the passengers.

Step S43: the method comprises the following steps that I-level early warning is started by relevant departments and personnel for ticket checking in a waiting room: the ticket gate is used for checking large-area night of trains to be checked, and the number of waiting people far exceeds a threshold NT_nThe passenger who takes a plurality of times gathers near waiting room ticket gate at the same time quantum, and other ticket gates have the idle, according to station dispatch and the condition of receiving a bus allow the condition, can be with waiting to examine the number of times recently to idle ticket gate, open in advance and examine need add because of the time difference that the change ticket gate passenger passes through the needs to organize station railway policeman, passenger personnel organization queue waiting, the big screen of broadcast guide passenger.

The emergency disposal model system sets the 5 th ticket gates K667 and K928 trains for 40 and 20 minutes in succession according to the late train information acquired from the dispatching interface, so that three trains K667, K928 and K1012 are concentrated into 12: 42 ticket checking, 11: 22-12: the number of passengers 5222 gathered in a waiting area of a 5 th ticket gate in 42 time period far exceeds a threshold value 2200, I-level early warning is triggered, and passengers at the 5 th ticket gate are evacuated from a generation scheme, at the moment, if the 8 th ticket gate is free or can be properly regulated and controlled to be free, according to station scheduling and the conditions of vehicle receiving, the system changes the latest train number K667 to the 8 th ticket gate, and the time difference required by the passengers to pass through the changed ticket gate needs to be added for 3 minutes in advance for the inspection; and organizing station railway public security and passenger personnel to queue and wait for vehicles, and broadcasting large screens to guide passengers.

The passenger station passenger flow awareness early-warning device provided by the invention is described below, and the passenger station passenger flow awareness early-warning device described below and the first passenger station passenger flow awareness early-warning method described above can be referred to correspondingly.

Fig. 2 is a schematic structural diagram of a passenger station passenger flow notification and early warning device provided by the invention, as shown in fig. 2, the device comprises a sensing unit 210 and an early warning unit 220, wherein,

the sensing unit 210 is configured to determine passenger flow of a waiting area at any ticket gate in a future time period based on ticket buying passenger information and train running time information;

the early warning unit 220 is configured to send out an early warning that the passenger flow rate is too large if the passenger flow rate is greater than a warning threshold of the number of people corresponding to the future time period;

The passenger flow awareness early warning device for the passenger station provided by the invention determines the passenger flow of any ticket checking port waiting area in the future time period based on the ticket buying passenger information and the train running time information; if the passenger flow is larger than the warning threshold value of the number of people corresponding to the future time period, sending out an early warning of overlarge passenger flow; and adjusting the number of people alert threshold value based on the environmental factors corresponding to the future time period. Because the environmental factors are included in the adjustment of the people number warning threshold value, a specific mode for considering the environmental factors is provided, and a more accurate and reasonable large passenger flow early warning result compared with the existing passenger flow analysis can be obtained. Therefore, the method provided by the invention realizes that the environmental factors of the current day are brought into the consideration range of passenger flow analysis, and a more accurate and reasonable large passenger flow early warning result is obtained.

On the basis of the foregoing embodiment, in the apparatus, the sensing unit is specifically configured to:

On the basis of the above embodiment, in the apparatus, the determining a passenger flow volume in a future time period of any ticket gate waiting area based on the boarding passenger volume and the arrival and departure time specifically includes:

for any train Z of any ticket checking port_xAccumulating the number of waiting passengers f at the time t in the future time period_x(t) is calculated by the following formula:

wherein, x is 1,2, N is the total number of all the train numbers corresponding to any ticket checking port, Tx is the train number Z_xTime of driving at current station, number of cars Z_xThe total number of ticket buying passengers is M_xAt t₀The proportion of passengers arriving at the station is k, and the time of arriving at the station in advance satisfies (mu, sigma)²) Positive-negative distribution of;

On the basis of the above embodiment, in the apparatus, the train operation time information includes a train operation diagram schedule and train right and late point information;

On the basis of the above embodiment, in the device, the environmental factors include weather information, whether the weather is a major holiday and security and safety guard information;

On the basis of the above-described embodiment, in the apparatus,

if the weather information of the future time period is a bad condition or a major holiday, the number of people warning threshold is adjusted up on the basis of a reference threshold, and if the security guard information of the future time period is a guard level, the number of people warning threshold is adjusted down on the basis of the reference threshold, specifically comprising:

T_final＝T_base×β

On the basis of the above embodiment, the device further includes an emergency unit, specifically configured to:

Fig. 3 illustrates a physical structure diagram of an electronic device, which may include, as shown in fig. 3: a processor (processor)310, a communication Interface (communication Interface)320, a memory (memory)330 and a communication bus 340, wherein the processor 310, the communication Interface 320 and the memory 330 communicate with each other via the communication bus 340. The processor 310 may invoke logic instructions in the memory 330 to perform a passenger station passenger flow awareness early warning method comprising: determining the passenger flow of any ticket checking port waiting area in a future time period based on the ticket buying passenger information and the train running time information; if the passenger flow is larger than the warning threshold value of the number of people corresponding to the future time period, sending out an early warning of overlarge passenger flow; and adjusting the number of people alert threshold value based on the environmental factors corresponding to the future time period.

In addition, the logic instructions in the memory 330 may be implemented in the form of software functional units and stored in a computer readable storage medium when the software functional units are sold or used as independent products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.

In another aspect, the present invention also provides a computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions which, when executed by a computer, enable the computer to perform a passenger station passenger flow awareness early warning method provided by the above methods, the method comprising: determining the passenger flow of any ticket checking port waiting area in a future time period based on the ticket buying passenger information and the train running time information; if the passenger flow is larger than the warning threshold value of the number of people corresponding to the future time period, sending out an early warning of overlarge passenger flow; and adjusting the number of people alert threshold value based on the environmental factors corresponding to the future time period.

In yet another aspect, the present invention also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a passenger station passenger flow awareness early warning method provided by the above methods, the method comprising: determining the passenger flow of any ticket checking port waiting area in a future time period based on the ticket buying passenger information and the train running time information; if the passenger flow is larger than the warning threshold value of the number of people corresponding to the future time period, sending out an early warning of overlarge passenger flow; and adjusting the number of people alert threshold value based on the environmental factors corresponding to the future time period.

The above-described terminal embodiments are merely illustrative, wherein the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.

Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.

Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims

1. A passenger station passenger flow awareness early warning method is characterized by comprising the following steps:

2. The passenger station passenger flow awareness early-warning method according to claim 1, wherein the determining of the passenger flow volume of any ticket gate waiting area in the future time period based on the ticket-buying passenger information and the train running time information specifically comprises:

3. The passenger station passenger flow awareness early-warning method according to claim 2, wherein the determining of the passenger flow volume of any ticket gate waiting area in the future time period based on the boarding passenger volume and the arrival and departure times specifically comprises:

4. The passenger station passenger flow awareness early-warning method according to claim 1, wherein the train operation time information includes a train diagram schedule and train right-and-late information;

5. The passenger station passenger flow awareness early warning method according to any one of claims 1 to 4, wherein the environmental factors include weather information, whether or not it is a major holiday, and security and abstinence information;

6. The passenger station passenger flow awareness early-warning method according to claim 5, wherein the step of adjusting the passenger number alert threshold value on the basis of a reference threshold value if the weather information of the future time period is severe or a major holiday, and the step of adjusting the passenger number alert threshold value on the basis of a reference threshold value if the security guard information of the future time period is a guard level specifically comprises the steps of:

calculating the number of people alert threshold T by the following formula_final:

T_final＝T_base×β

Wherein, T_baseBeta is a regulation coefficient for a reference threshold value, and if the weather information of the future time period is a bad condition or a major holiday, beta is>1, if the security and anti-theft information of the future time period is the anti-theft grade, beta<1。

7. The passenger station passenger flow awareness early warning method according to any one of claims 1 to 4, further comprising:

8. The utility model provides a passenger station bus knows early warning device which characterized in that includes:

9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor when executing the program implements the steps of the passenger station flow awareness early warning method according to any of claims 1 to 7.

10. A non-transitory computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the passenger station passenger flow awareness early warning method according to one of claims 1 to 7.