CN113572805A - Subway rail transit passenger flow monitoring system and method based on weighing data - Google Patents

Subway rail transit passenger flow monitoring system and method based on weighing data Download PDF

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Publication number
CN113572805A
CN113572805A CN202110531230.0A CN202110531230A CN113572805A CN 113572805 A CN113572805 A CN 113572805A CN 202110531230 A CN202110531230 A CN 202110531230A CN 113572805 A CN113572805 A CN 113572805A
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train
plan
weighing data
monitoring system
station
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李建彬
钱江
颜红慧
周公建
邱俊奎
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Casco Signal Ltd
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Casco Signal Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/12Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • H04L67/125Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks involving control of end-device applications over a network
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01GWEIGHING
    • G01G19/00Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups
    • G01G19/40Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups with provisions for indicating, recording, or computing price or other quantities dependent on the weight
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • G06Q50/40

Abstract

The invention relates to a subway rail transit passenger flow monitoring system and method based on weighing data, wherein the monitoring system comprises vehicle-mounted equipment CC, a Gateway module Gateway, a dispatching workstation work, an application server module CATS, an external communication interface module FEP and a passenger guide system PIS, the vehicle-mounted equipment CC is connected with the application server module CATS through the Gateway module Gateway, the application server module CATS is respectively connected with the dispatching workstation work and the external communication interface module FEP, and the external communication interface module FEP is connected with the passenger guide system PIS. Compared with the prior art, the invention has the following advantages: the defect that a large amount of monitoring equipment and subway transformation cycles are increased due to demands in the prior art is overcome, the management efficiency of dispatchers on abnormal passenger flow conditions is improved, the passenger travel efficiency is improved, and the like.

Description

Subway rail transit passenger flow monitoring system and method based on weighing data
Technical Field
The invention relates to the field of urban rail transit, in particular to a subway rail transit passenger flow monitoring system and method based on weighing data.
Background
At present, subway rail transit passenger flow monitoring is an important content of urban rail transit operation management, traditional rail transit passenger flow monitoring generally uses video monitoring CCTV or gate passenger flow statistics OD data, a video monitoring CCTV system needs to be provided with a large amount of intelligent video equipment, and particularly, a large amount of reconstruction time is needed to influence operation when a line is opened; the passenger flow OD data cannot visually reflect the passenger flow status on the train. The traditional method is difficult to meet the practical requirement of passenger flow monitoring of subway operation companies.
Through retrieval, chinese patent publication No. CN112465213A discloses an auxiliary device and method for a subway passenger information service system, and specifically, load weight information is transmitted to a comfort level calculating device through an automatic train monitoring system, the comfort level calculating device analyzes and processes the received train operation total information to obtain real-time passenger distribution data of each carriage of the current train, wherein the real-time passenger distribution data is used as basic data, and a congestion degree prediction value of each carriage after the current train arrives at a station and gets off passengers is calculated and sent to a passenger information service system for display by combining historical data and a trend prediction algorithm counted in advance by getting on and off passengers at the current time point of the current platform. But this technique needs to increase a large amount of monitoring facilities, thereby greatly increasing the subway transformation cycle.
Disclosure of Invention
The invention aims to overcome the defects in the prior art and provide a subway rail transit passenger flow monitoring system and method based on weighing data.
The purpose of the invention can be realized by the following technical scheme:
according to one aspect of the invention, a subway rail transit passenger flow monitoring system based on weighing data is provided, the monitoring system comprises a vehicle-mounted device CC, a Gateway module Gateway, a dispatching workstation work, an application server module CATS, an external communication interface module FEP and a passenger guide system PIS, the vehicle-mounted device CC is connected with the application server module CATS through the Gateway module Gateway, the application server module CATS is respectively connected with the dispatching workstation work and the external communication interface module FEP, and the external communication interface module FEP is connected with the passenger guide system PIS;
the train monitoring system comprises a train monitoring system ATS, a vehicle-mounted device CC, an application server module CATS and a train monitoring system ATS, wherein the vehicle-mounted device CC acquires weighing data of each carriage of the train and periodically transmits the weighing data to the application server module CATS through a Gateway module Gateway; and the application server module CATS transmits the weighing data and the integrated information of the train prediction plan to a dispatching work station for display at one end, and outputs the other end to a passenger guide system PIS through an external communication interface module FEP.
As an optimal technical scheme, the system utilizes the existing subway signal system to collect passenger flow weighing data and utilizes the existing subway signal system to transmit the passenger flow weighing data.
As a preferable technical scheme, the vehicle-mounted equipment CC acquires weighing data of each carriage of the train through a weighing sensor.
As a preferable technical scheme, the acquisition cycle of the vehicle-mounted device CC is 3 seconds.
As a preferred technical solution, the train prediction plan includes: the train monitoring system ATS constructs a train prediction time plan according to the train operation plan, predicts the subsequent arrival time or departure time of the train, and completes the arrival time and departure time prediction of the train at the subsequent station by combining the actual arrival time or departure time of the train and the speed operation grade of the train according to the early-late point condition.
As a preferred technical solution, the integrated information of the weighing data and the train prediction plan includes: based on the collected weighing data of each carriage, the number of passengers getting off the train, the number of passengers on the train and the full load rate data of the train are estimated by combining the arrival and departure events of the train.
Preferably, the passenger guidance system PIS displays the train time prediction and the train full rate to the passengers.
According to another aspect of the invention, a method for using the weighing data-based subway rail transit passenger flow monitoring system is provided, and the method comprises the following steps:
step 1, vehicle-mounted equipment CC periodically collects weighing data of each carriage of a train, encapsulates vehicle messages and periodically sends the vehicle messages including the weighing data to a train monitoring system ATS;
step 2, the vehicle-mounted equipment CC periodically transmits weighing data to an application server module CATS through a Gateway module Gateway, and simultaneously, a train monitoring system ATS monitors train position information and train arrival and departure events in real time;
step 3, loading an original plan by an application server module CATS, running the train according to the original plan, and predicting the running arrival track and time of the train;
when a train arrival or departure event occurs, the application server module CATS judges whether the train has early or late points, if not, the operation plan and the prediction plan of the train are not adjusted, the train operates according to the original plan, and the subsequent operation of the train is predicted; if the train arrives at the station or leaves the station, adjusting the train operation plan;
each arrival or departure event of the train triggers one train plan adjustment to form a new train prediction plan, and a subsequent train arrival track, arrival and departure time and a destination of the train are predicted according to the new train prediction plan;
step 4, the application server module CATS estimates the number of passengers getting off the train, the number of passengers on the train and the full load rate data of the train according to the weighing data collected by the vehicle-mounted equipment CC, and transmits the information to a dispatching workstation for displaying;
and 5, integrating the information of the predicted passing station number, the train group number, the train server, the train destination and the passenger load rate of each carriage of the train based on the train prediction plan and the train weighing information acquired in the steps 3 and 4, and outputting the information to a passenger guidance system PIS through an external communication interface module FEP, wherein the passenger guidance system PIS displays the train time prediction and the train load rate to the passengers.
As a preferred technical scheme, if there is a point of early or late arrival or departure of the train in the step 3, the adjusting of the train operation plan specifically comprises:
if the train arrives or leaves the station, the grade of the early point is evaluated, the station stopping time and the interval running time of the subsequent running platform are prolonged according to the grade of the early point, the interval running time and the interval running speed grade of different platforms are matched, so that the back running plan of the train is close to the original planned running diagram, and the regulated train running plan is a new train prediction plan;
if the train arrives at the station or leaves the station with the delay, the level of the delay is evaluated, the station stopping time and the interval running time of the subsequent running platform are reduced according to the level of the delay, the interval running time and the interval running speed level of different platforms are matched, so that the train back running plan is close to the original plan running chart, and the adjusted train running plan is a new train prediction plan.
As a preferred technical solution, the estimation process in step 4 includes:
when TIMS _ CC _ Car1_ validity is 0x00000011, it indicates that Car1 exists and the Car data is valid;
TIMS _ CC _ Current _ weight _1 represents the payload of the car 1;
carriage 1 number of passengers TIMS _ CC _ Current _ weight _ 1/average weight of individual person
The average weight of a single person is set by the system;
carriage 1 full load rate Train1 road rate
TIMS_CC_Current_weight_1/TIMS_CC_Current_rated_weight_1;
The upper and lower guest estimates are defined as:
number of passengers getting off
(TIMS _ CC _ Current _ weight _1 to station-TIMS _ CC _ Current _ weight _1 min)/Individual people mean weight
Number of guests
(TIMS _ CC _ Current _ weight _1 off-station-TIMS _ CC _ Current _ weight _1 minimum)/average weight of individual persons.
Compared with the prior art, the invention has the following advantages:
1. a method for evaluating passenger flow conditions based on passenger flow data is designed, and the defects that a large amount of monitoring equipment and subway transformation period are required to be increased in the prior art are overcome;
2. the method comprises the steps of collecting passenger flow weighing data by using an existing subway signal system, transmitting the passenger flow data by using the existing subway signal system, and presenting the passenger flow data to a dispatcher and subway passengers by using an existing subway train monitoring system ATS, so that the practical requirement of passenger flow monitoring of a subway operation company is well met.
3. The management and display of the train monitoring system ATS which integrates the evaluated passenger flow data improve the management efficiency of the dispatcher on the abnormal conditions of the passenger flow; and the subway passenger guide information content is increased, and the passenger traveling efficiency is improved.
Drawings
FIG. 1 is a train arrival and departure weighing data sampling diagram;
FIG. 2 is a block diagram of a subway rail transit passenger flow monitoring system;
fig. 3 is a flow chart of train plan adjustment.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, shall fall within the scope of protection of the present invention.
The principle of the invention is as follows: the method comprises the steps of collecting passenger flow weighing data by using an existing subway signal system, transmitting the passenger flow data by using the existing subway signal system, and presenting the passenger flow data to a dispatcher and subway passengers by using an existing subway train monitoring system ATS, so that the practical requirement of passenger flow monitoring of a subway operation company is well met.
The invention relates to a method for realizing a subway rail transit passenger flow monitoring system based on weighing data, which comprises the following steps:
step 1: as shown in fig. 1, the vehicle-mounted equipment CC acquires weighing data of each carriage of the train through the weighing sensor in a period of 3 seconds, encapsulates CC-ATS vehicle messages according to table 1, and sends the vehicle messages including weighing to the ATS system in a period of 3 seconds;
step 2: as shown in fig. 2, a block diagram of a train monitoring system is shown, in which a vehicle-mounted device CC periodically transmits weighing information to an application server module CATS through a gateway module, and the train monitoring system monitors train position information and train arrival and departure events in real time;
and step 3: an ATS train monitoring system CATS module loads an original plan, as shown in figure 2, a train operates according to the original plan, the plan is also a prediction plan of the ATS train monitoring system for future train operation, and the operation arrival track and time of the train are predicted; as shown in fig. 2, when a train arrival or departure event is transmitted, the CATS module determines whether the train has an early-late point. If the train is not in the early or late stage, the operation plan and the prediction plan of the train are not adjusted, the train is operated according to the original plan, and the subsequent operation of the train is predicted. If the train arrives or leaves the station, the grade of the early point is evaluated, the station stopping time and the interval running time of the subsequent running platform are prolonged according to the grade of the early point, the interval running time and the interval running speed grade of different platforms are matched, so that the train later running plan is close to the original plan running chart, and the adjusted train running plan is the new train prediction plan. If the train arrives at the station or leaves the station with the delay, the level of the delay is firstly evaluated, then the station stopping time and the interval running time of the subsequent running platform are reduced according to the level of the delay, the interval running time and the interval running speed level of different platforms are matched, so that the train back running plan is close to the original plan running chart, and the adjusted train running plan is the new train prediction plan. Each arrival or departure event of the train triggers one train plan adjustment to form a new train prediction plan, and the subsequent arrival track, arrival and departure time, destination and the like of the train can be predicted.
And 4, step 4: referring to table 1, when TIMS _ CC _ Car1_ validity is 0x00000011, it indicates that Car1 exists and that Car data is valid
TIMS _ CC _ Current _ weight _1 represents the payload of the car1,
carriage 1 number of passengers TIMS _ CC _ Current _ weight _ 1/average weight of individual person
The average weight of a single person is set by the system.
Carriage 1 full load rate Train1 road rate
TIMS _ CC _ CURRENT _ WEIG _1/TIMS _ CC _ CURRENT _ RATED _ WEIG _1 TABLE 1
TABLE 1 weighing information table
Figure BDA0003067988450000061
Figure BDA0003067988450000071
As shown in figure 1, weighing data of each carriage of a train is acquired by a weighing sensor by vehicle-mounted equipment CC at a period of 3 seconds, and when the train runs in a section, the number of passengers is unchanged, and the data is stably stored; when the train arrives at the station, the passenger flow has a process of getting off passengers first and getting on passengers again, and the collected weighing data also gradually decreases to the minimum value and then gradually increases.
The upper and lower guest estimates may be defined as:
number of passengers getting off
(TIMS _ CC _ Current _ weight _1 to station-TIMS _ CC _ Current _ weight _1 min)/Individual people mean weight
Number of guests
(TIMS _ CC _ Current _ weight _1 off-station-TIMS _ CC _ Current _ weight _1 minimum)/average weight of individual persons
The CATS module estimates the number of passengers getting off the train, the number of passengers on the train and the full load rate data of the train, and transmits the information to the dispatching work station for displaying.
And 5: acquiring a train prediction plan and train weighing information based on the steps 3 and 4, integrating the predicted passing station number, train group number, train server, train destination and passenger full load rate of each carriage of the train according to the passenger guide information table in the table 2, integrating the prediction information of 4 latest trains on each station, outputting the prediction information to a passenger guide system PIS through an external communication interface module FEP of the train monitoring system, and displaying the prediction of train time and the train full load rate to the passengers.
Table 2 shows passenger guidance information
Figure BDA0003067988450000081
Figure BDA0003067988450000091
While the invention has been described with reference to specific embodiments, the invention is not limited thereto, and various equivalent modifications and substitutions can be easily made by those skilled in the art within the technical scope of the invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims (10)

1. A subway rail transit passenger flow monitoring system based on weighing data is characterized by comprising a vehicle-mounted device CC, a Gateway module Gateway, a dispatching workstation work, an application server module CATS, an external communication interface module FEP and a passenger guide system PIS, wherein the vehicle-mounted device CC is connected with the application server module CATS through the Gateway module Gateway, the application server module CATS is respectively connected with the dispatching workstation work and the external communication interface module FEP, and the external communication interface module FEP is connected with the passenger guide system PIS;
the train monitoring system comprises a train monitoring system ATS, a vehicle-mounted device CC, an application server module CATS and a train monitoring system ATS, wherein the vehicle-mounted device CC acquires weighing data of each carriage of the train and periodically transmits the weighing data to the application server module CATS through a Gateway module Gateway; and the application server module CATS transmits the weighing data and the integrated information of the train prediction plan to a dispatching work station for display at one end, and outputs the other end to a passenger guide system PIS through an external communication interface module FEP.
2. A subway rail transit passenger flow monitoring system based on weighing data as claimed in claim 1, wherein said system utilizes existing subway signal system to collect passenger flow weighing data and utilizes existing subway signal system to transmit passenger flow weighing data.
3. A subway rail transit passenger flow monitoring system based on weighing data as claimed in claim 1, wherein said vehicle-mounted device CC collects weighing data of each carriage of train by means of weighing sensor.
4. A subway rail traffic passenger flow monitoring system based on weighing data as claimed in claim 3, wherein said vehicle-mounted device CC has an acquisition period of 3 seconds.
5. A subway rail transit passenger flow monitoring system based on weighing data as claimed in claim 1, wherein said train prediction plan comprises: the train monitoring system ATS constructs a train prediction time plan according to the train operation plan, predicts the subsequent arrival time or departure time of the train, and completes the arrival time and departure time prediction of the train at the subsequent station by combining the actual arrival time or departure time of the train and the speed operation grade of the train according to the early-late point condition.
6. A subway rail transit passenger flow monitoring system based on weighing data as claimed in claim 1, wherein said integrated information of weighing data and train prediction plan comprises: based on the collected weighing data of each carriage, the number of passengers getting off the train, the number of passengers on the train and the full load rate data of the train are estimated by combining the arrival and departure events of the train.
7. A system as claimed in claim 1, wherein the passenger guidance system PIS displays the train time prediction and the train loading rate to passengers.
8. A method of using the weighing data based subway rail transit passenger flow monitoring system of claim 1, characterized in that the method comprises the following steps:
step 1, vehicle-mounted equipment CC periodically collects weighing data of each carriage of a train, encapsulates vehicle messages and periodically sends the vehicle messages including the weighing data to a train monitoring system ATS;
step 2, the vehicle-mounted equipment CC periodically transmits weighing data to an application server module CATS through a Gateway module Gateway, and simultaneously, a train monitoring system ATS monitors train position information and train arrival and departure events in real time;
step 3, loading an original plan by an application server module CATS, running the train according to the original plan, and predicting the running arrival track and time of the train;
when a train arrival or departure event occurs, the application server module CATS judges whether the train has early or late points, if not, the operation plan and the prediction plan of the train are not adjusted, the train operates according to the original plan, and the subsequent operation of the train is predicted; if the train arrives at the station or leaves the station, adjusting the train operation plan;
each arrival or departure event of the train triggers one train plan adjustment to form a new train prediction plan, and a subsequent train arrival track, arrival and departure time and a destination of the train are predicted according to the new train prediction plan;
step 4, the application server module CATS estimates the number of passengers getting off the train, the number of passengers on the train and the full load rate data of the train according to the weighing data collected by the vehicle-mounted equipment CC, and transmits the information to a dispatching workstation for displaying;
and 5, integrating the information of the predicted passing station number, the train group number, the train server, the train destination and the passenger load rate of each carriage of the train based on the train prediction plan and the train weighing information acquired in the steps 3 and 4, and outputting the information to a passenger guidance system PIS through an external communication interface module FEP, wherein the passenger guidance system PIS displays the train time prediction and the train load rate to the passengers.
9. The method according to claim 8, wherein if there is a morning and a evening point when the train arrives or departs from the station in the step 3, the adjusting the train operation plan specifically comprises:
if the train arrives or leaves the station, the grade of the early point is evaluated, the station stopping time and the interval running time of the subsequent running platform are prolonged according to the grade of the early point, the interval running time and the interval running speed grade of different platforms are matched, so that the back running plan of the train is close to the original planned running diagram, and the regulated train running plan is a new train prediction plan;
if the train arrives at the station or leaves the station with the delay, the level of the delay is evaluated, the station stopping time and the interval running time of the subsequent running platform are reduced according to the level of the delay, the interval running time and the interval running speed level of different platforms are matched, so that the train back running plan is close to the original plan running chart, and the adjusted train running plan is a new train prediction plan.
10. The method of claim 8, wherein the estimating in step 4 comprises:
when TIMS _ CC _ Car1_ validity is 0x00000011, it indicates that Car1 exists and the Car data is valid;
TIMS _ CC _ Current _ weight _1 represents the payload of the car 1;
carriage 1 number of passengers TIMS _ CC _ Current _ weight _ 1/average weight of individual person
The average weight of a single person is set by the system;
carriage 1 full load rate Train1 road rate
TIMS_CC_Current_weight_1/TIMS_CC_Current_rated_weight_1;
The upper and lower guest estimates are defined as:
number of passengers getting off
(TIMS _ CC _ Current _ weight _1 to station-TIMS _ CC _ Current _ weight _1 min)/Individual people mean weight
Number of guests
(TIMS _ CC _ Current _ weight _1 off-station-TIMS _ CC _ Current _ weight _1 minimum)/average weight of individual persons.
CN202110531230.0A 2021-05-17 2021-05-17 Subway rail transit passenger flow monitoring system and method based on weighing data Pending CN113572805A (en)

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