CN115580830B - Passenger violation path detection method and device based on AP probe multipoint positioning - Google Patents
Passenger violation path detection method and device based on AP probe multipoint positioning Download PDFInfo
- Publication number
- CN115580830B CN115580830B CN202211560001.2A CN202211560001A CN115580830B CN 115580830 B CN115580830 B CN 115580830B CN 202211560001 A CN202211560001 A CN 202211560001A CN 115580830 B CN115580830 B CN 115580830B
- Authority
- CN
- China
- Prior art keywords
- passenger
- station
- probe
- positioning
- area
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 239000000523 sample Substances 0.000 title claims abstract description 66
- 238000001514 detection method Methods 0.000 title claims abstract description 19
- 238000011960 computer-aided design Methods 0.000 claims description 25
- 238000000034 method Methods 0.000 claims description 21
- 238000004891 communication Methods 0.000 claims description 16
- 238000013461 design Methods 0.000 claims description 12
- 238000010276 construction Methods 0.000 claims description 3
- 230000004807 localization Effects 0.000 claims description 2
- 238000007689 inspection Methods 0.000 abstract description 12
- 238000012545 processing Methods 0.000 description 5
- 230000006399 behavior Effects 0.000 description 4
- 238000012544 monitoring process Methods 0.000 description 4
- 238000013473 artificial intelligence Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 238000012549 training Methods 0.000 description 2
- 230000009471 action Effects 0.000 description 1
- 230000004888 barrier function Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004590 computer program Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000007730 finishing process Methods 0.000 description 1
- 230000014509 gene expression Effects 0.000 description 1
- 238000002372 labelling Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000009877 rendering Methods 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
- 230000011218 segmentation Effects 0.000 description 1
- 230000001360 synchronised effect Effects 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/023—Services making use of location information using mutual or relative location information between multiple location based services [LBS] targets or of distance thresholds
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/13—Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/029—Location-based management or tracking services
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Geometry (AREA)
- Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Computer Hardware Design (AREA)
- Tourism & Hospitality (AREA)
- Pure & Applied Mathematics (AREA)
- Educational Administration (AREA)
- Structural Engineering (AREA)
- Computational Mathematics (AREA)
- Mathematical Analysis (AREA)
- Mathematical Optimization (AREA)
- Architecture (AREA)
- Evolutionary Computation (AREA)
- General Engineering & Computer Science (AREA)
- Software Systems (AREA)
- Development Economics (AREA)
- Civil Engineering (AREA)
- Computer Graphics (AREA)
- Health & Medical Sciences (AREA)
- Economics (AREA)
- General Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- Strategic Management (AREA)
- General Business, Economics & Management (AREA)
- Train Traffic Observation, Control, And Security (AREA)
Abstract
The invention discloses a passenger violation path detection method and device based on AP probe multipoint positioning, which specifically comprise the following steps: s1, obtaining distribution information of a plurality of areas in a real scene model of a subway station; s2, positioning information of the same passenger in a real-scene model is obtained uninterruptedly, a positioning set of the passenger is formed, and the positioning information comprises a positioning time point; s3, connecting positioning information in a positioning set in the live-action model according to the sequence of time points to obtain the movement track of the passenger; and S4, judging whether the passengers are in compliance or not according to the movement tracks of the passengers. The AP probe is used for positioning the movement tracks of the passengers in the area outside the station and the area inside the station, so that whether the passengers have illegal operation or not is judged according to the movement tracks, the behavior that the passengers carry packages to enter from an unconventional channel is avoided, the behavior of avoiding the safety inspection requirement of reasonable compliance is reduced, and the public safety order and the operation order are enhanced.
Description
Technical Field
The invention relates to the technical field of intelligent security inspection, in particular to a passenger violation path detection method and device based on AP probe multipoint positioning.
Background
In the scenes of high-speed rails, subways and the like, stations are divided into an out-station area and an in-station area, and the out-station area needs to pass through an inlet and an outlet of a security inspection channel when entering the in-station area. The barrier, such as a fence or a ferry horse, is generally used for separating the area between the station area and the area outside the station except the security check passage, so that passengers are prevented from randomly crossing the station area and the area outside the station without passing through the entrance and the exit of the security check passage. However, the passenger can enter the inside area from the outside area in a hurdle mode or other modes in violation mode, or enter the outside area from the inside area, so that the passenger can escape the operations of ticket checking, security check and the like of the security check channel. These behaviors are often difficult to detect due to manual constraints and therefore require some technical means to assist.
Disclosure of Invention
The invention aims to provide a passenger violation path detection method and device based on AP probe multi-point positioning, wherein an AP probe is used for detecting and connecting a UE terminal of a passenger by a wireless router, the UE terminal with WIFI started can be found, the distance between the UE terminal of the passenger and the wireless router can be judged, three or more wireless routers are built at a subway station, the actual position of the UE terminal of the passenger can be determined in a three-point positioning and multi-point positioning mode, and the actual position of the passenger carrying the UE terminal is determined. Therefore, the action track of a person is determined by continuous positioning on the time axis.
A passenger violation path detection method based on AP probe multipoint positioning specifically comprises the following steps:
s1, obtaining distribution information of a plurality of areas in a real scene model of a subway station, wherein the plurality of areas comprise an in-station area, a communication area and an out-station area, and a communication area for communication is formed at a part adjacent between the in-station area and the out-station area;
s2, uninterruptedly obtaining positioning information of the same passenger in a real scene model of a subway station to form a positioning set of the passenger, wherein the positioning information comprises a positioning time point;
s3, connecting positioning information in a positioning set in the live-action model according to the sequence of time points to obtain the movement track of the passenger;
and S4, judging whether the passenger getting-in and getting-out is in compliance according to the movement track of the passenger.
Further, step S4 specifically includes the following steps:
and if all movement tracks of the passengers do not intersect with an adjacent line between the in-station area and the out-station area, judging that the passengers enter and exit as the compliance.
Namely, if all the movement tracks of the passenger do not directly cross the track between the in-station area and the out-station area, the passenger is judged to be in-station and out-station as the compliance.
Further, step S3 further includes:
determining whether the passenger is in an in-out station state;
when the positioning set comprises at least one piece of positioning information of a passenger in an in-station area, a communication area and an out-station area, the passenger is judged to be in an in-out-station state, and the movement track of the passenger is obtained.
Further, the plurality of regions are artificial configurable variable regions.
Further, the movement track of the passenger is a track formed by sequentially connecting the positioning information according to the sequence of time points in a preset time period.
Further, the real scene model of the subway station is a pre-established real scene three-dimensional model, and the plurality of regions are obtained through the following steps:
acquiring images acquired by cameras corresponding to all angles of a subway station at a preset time point;
according to the image, carrying out three-dimensional live-action BIM modeling, and updating a live-action three-dimensional model of the subway station;
and respectively obtaining the distribution information of the in-station area, the communication area and the out-station area according to the updated real-scene three-dimensional model of the subway station.
Further, the positioning information is obtained by:
the AP probe scans actual position information of a passenger in a station, which is obtained by a passenger UE terminal, and the actual position information is mapped in a real-scene three-dimensional model of the subway station according to the actual position information to obtain corresponding positioning information.
Further, the real-scene model is a pre-established CAD as-built drawing of a subway station, and the positioning information is obtained through the following steps:
s1: marking initial coordinates of each WIFI probe on an initial CAD design drawing of a subway station, and installing the WIFI probes on site according to the marking construction of the CAD design drawing, wherein the CAD design drawing of the WIFI probe comprises the actual coordinates of a completed specific target in an actual scene;
s2: correcting the initial coordinates of each WIFI probe in an actual scene to obtain the actual coordinates of each WIFI probe;
s21: marking each specific target with a fixed and unchangeable position in an actual scene on a CAD design drawing as a reference point, and recording the position coordinates of the reference point;
s22: measuring the distance from each WIFI probe to a reference point by using a laser range finder in an actual scene;
s23: calculating the actual coordinate of each WIFI probe by using a triangulation method according to the coordinate of the reference point and the distance from the WIFI probe to the reference point, and importing the calculated actual coordinate of each WIFI probe into a CAD (computer-aided design) drawing of the WIFI probe to obtain a CAD completion drawing;
s3: measuring the distance between each WIFI probe and the UE terminal of the passenger according to the detected signal intensity of the UE terminal of the passenger;
s4: and calculating the position coordinates of the UE terminal of the passenger by using a triangulation method according to the actual coordinates of each WIFI probe and the distance between each corresponding WIFI probe and the UE terminal of the passenger, obtaining the position information of the UE terminal of the passenger, and determining the position information as the positioning information.
An AP probe multipoint positioning-based passenger violation path detection device comprises:
one or more processors;
a storage unit to store one or more programs that, when executed by the one or more processors, enable the one or more processors to implement the method for detecting a passenger violation path based on AP probe multi-point localization.
The invention has the following beneficial effects:
in the prior art, through carrying out intelligent analysis and judgment on a monitoring video of a security inspection channel, a person carrying a package or an article is detected and identified, information is sent to a security inspection person and a manager through the internet of things sensing technology, the security inspection person is informed to carry out timely processing, the manager is informed to check and manage the processing of an event, and information conforming to the condition that the person carries the package or the article and passes through the package-free channel is pushed to an intelligent security inspection message center in the form of a message; the intelligent security inspection system has the advantages that the intelligent security inspection message storage service stores alarm messages into the system, the intelligent security inspection message distribution service pushes the messages to the designated hand inspection terminal, the method needs to be additionally provided with a monitoring hardware system of a subway station, so that monitoring videos are obtained and intelligent analysis is carried out, the method breaks away from monitoring hardware, the moving tracks of passengers in an out-station area and an in-station area are positioned through AP probes, whether illegal operation exists in the passengers is judged according to the moving tracks, the behavior that the passengers carry packages to enter from an unconventional channel is avoided, the behavior of escaping from the safety inspection requirement of reasonable compliance is reduced, and the public safety order and the operation order are enhanced.
Drawings
FIG. 1 is a schematic diagram of the finishing process of the present invention;
FIG. 2 is a schematic view of the passenger access station of the present invention without compliance;
fig. 3 is a schematic view of the passenger ingress and egress compliance of the present invention.
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 only a part of the embodiments of the present invention, and not all of the embodiments. The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the invention, its application, or uses. 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 relative arrangement of the components and steps, the numerical expressions and numerical values set forth in these embodiments do not limit the scope of the present invention unless specifically stated otherwise.
Meanwhile, it should be understood that the sizes of the respective portions shown in the drawings are not drawn in an actual proportional relationship for the convenience of description.
In addition, descriptions of well-known structures, functions, and configurations may be omitted for clarity and conciseness. Those of ordinary skill in the art will recognize that various changes and modifications of the examples described herein can be made without departing from the spirit and scope of the disclosure.
Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail but are intended to be part of the specification where appropriate.
In all examples shown and discussed herein, any particular value should be construed as exemplary only and not as limiting. Thus, other examples of the exemplary embodiments may have different values.
Example 1
As shown in fig. 1, a passenger violation path detection method based on AP probe multipoint positioning specifically includes the following steps:
s1, obtaining distribution information of a plurality of areas in a real-scene model of a subway station, wherein the plurality of areas comprise an in-station area, a communication area and an out-station area, and a communication area for communication is formed at a part adjacent between the in-station area and the out-station area;
the plurality of regions are artificial configurable variable regions.
In the subway rush hour, the pedestrian flow of part subway stations is huge, and the proportion of the area outside the station to the area inside the station needs to be adjusted according to actual conditions, so that the pedestrian flow pressure is relieved.
For example, a part of subway stations have more passengers leaving the station and less passengers entering the station, and at this time, the area of the area outside the station needs to be enlarged, and at this time, the area of the area inside the station needs to be enlarged when some subway stations have more passengers to be transferred.
In one embodiment, the real-scene model of the subway station is a pre-established real-scene three-dimensional model, and the plurality of regions are obtained by the following steps:
acquiring images acquired by cameras corresponding to all angles of a subway station at a preset time point;
according to the image, carrying out three-dimensional live-action BIM modeling, and updating a live-action three-dimensional model of the subway station;
and respectively obtaining the distribution information of the in-station area, the communication area and the out-station area according to the updated real-scene three-dimensional model of the subway station.
The preset time point can update the real scene three-dimensional model of the subway station once after area configuration is performed for each time, so that the distribution information of the area inside the station, the communication area and the area outside the station is updated, and the area configuration is synchronous with the actual scene.
In one embodiment, the real-scene model of the subway station is a pre-established real-scene three-dimensional model, and the plurality of regions are obtained by the following steps:
acquiring three-dimensional data of a subway station scene and a real-time video stream of the scene, and performing live-action three-dimensional modeling to obtain a live-action three-dimensional model of the subway station scene;
carrying out intelligent identification on a real scene three-dimensional model of a subway station scene, wherein the intelligent identification comprises the segmentation and intelligent identification of the three-dimensional model of the scene;
and acquiring region configuration information from the three-dimensional real scene of the scene according to the intelligent identification result, and updating the distribution information of the regions in the three-dimensional real scene model of the scene.
Preferably, the positioning information is obtained by the following steps:
the AP probe scans actual position information of a passenger in a station, which is obtained by a passenger UE terminal, and the actual position information is mapped in a real-scene three-dimensional model of the subway station according to the actual position information to obtain corresponding positioning information.
In one embodiment, the method comprises the steps of acquiring three-dimensional attribute data and real-time video stream of a subway station scene, establishing a three-dimensional dynamic model of the subway station, obtaining a three-dimensional real scene model of the scene,
the method specifically comprises the following steps: acquiring three-dimensional data of a scene in a scanning mode by scanning equipment, wherein the scanning equipment comprises a space scanner, an aerial photography scanner, an object scanner and a human body scanner;
acquiring a real-time video stream of a scene through video acquisition equipment;
performing three-dimensional reconstruction according to three-dimensional data of a scene by adopting an artificial intelligence method to generate a three-dimensional live-action model of the scene, wherein the three-dimensional reconstruction comprises model repairing, clipping, cutting, surface reducing, model reducing, compressing, material processing, map processing, light processing and compressed rendering;
generating a corresponding link according to a three-dimensional live-action model of a scene;
and fusing the real-time video stream of the scene into the three-dimensional model of the scene to obtain the three-dimensional dynamic model of the subway station.
The step of intelligently identifying the real-time video stream of the scene specifically includes: training an intelligent recognition model by adopting an artificial intelligence method according to a given training sample and a given label;
and inputting the real-time video stream of the three-dimensional dynamic model of the subway station into the trained intelligent recognition model to obtain an intelligent recognition result.
The method comprises the following steps of inputting a real-time video stream of a three-dimensional dynamic model of the subway station into a trained intelligent recognition model to obtain an intelligent recognition result, and specifically comprises the following steps: inputting a real-time video stream of a three-dimensional dynamic model of a subway station into a trained intelligent recognition model, and recognizing to obtain a first result, wherein the first result comprises the type and name of an object, the attribute of the object and the behavior of the object, the type of the object comprises passengers, and the attribute of the object comprises color, style, gender, age and model.
The step of acquiring a tracking target from a three-dimensional live view of a scene according to an intelligent recognition result and tracking the tracking target in a three-dimensional dynamic model of a subway station specifically comprises the following steps: determining and labeling a tracking target in a three-dimensional real scene of a scene;
and automatically tracking the marked tracking target in the three-dimensional real scene of the scene so as to obtain the moving track of the tracking target.
S2, uninterruptedly obtaining positioning information of the same passenger in a live-action model of a subway station to form a positioning set of the passenger, wherein the positioning information comprises a positioning time point;
in one embodiment of the method of the present invention,
s3, according to the sequence of time points, positioning information in a positioning set is connected in the live-action model, and the movement track of the passenger is obtained;
specifically, step S3 further includes:
determining whether the passenger is in an access state;
when the positioning set comprises at least one piece of positioning information of a passenger in an in-station area, a communication area and an out-station area, the passenger is judged to be in an in-out-station state, and the movement track of the passenger is obtained.
Through the judgment of whether the passenger is in the station entering and exiting state, the movement track of the passenger is obtained only when the passenger is judged to be in the station entering and exiting state, and then the judgment of whether the passenger enters and exits the station or not is completed. The process is a passenger pre-screening process, namely, passengers who appear in the in-station area and passengers who appear in the out-station area are used as judgment objects on a time axis, so that the data volume is greatly reduced.
It should be noted that, in a subway station, some passengers may not go in and out of the station, and the passengers do not take the subway, and only obtain consultation or recharging service at the subway station, so that the movement track of the passengers is an out-of-station area, and the passengers of this type are deleted by judging the state of the passengers going in and out of the station, thereby greatly reducing the data volume.
And S4, judging whether the passenger getting-in and getting-out is in compliance according to the movement track of the passenger.
Specifically, step S4 specifically includes the following steps:
and if all movement tracks of the passengers do not intersect with an adjacent line between the in-station area and the out-station area, judging that the passengers enter and exit as the compliance.
Namely, if all the movement tracks of the passenger do not directly cross the track between the in-station area and the out-station area, the passenger is judged to be in-station and out-station as the compliance.
When the passenger is judged not to be in compliance, alarm information is sent out.
Specifically, the movement track of the passenger is a track formed by sequentially connecting the positioning information according to the sequence of time points within a preset time period, as shown in fig. 2 to 3.
In one embodiment, the real-scene model is a pre-established CAD as-built drawing of a subway station, and the positioning information is obtained by:
s1: marking initial coordinates of each WIFI probe on an initial CAD design drawing of a subway station, and installing the WIFI probes on site according to the marking construction of the CAD design drawing, wherein the CAD design drawing of the WIFI probe comprises the actual coordinates of a completed specific target in an actual scene;
s2: correcting the initial coordinates of each WIFI probe in an actual scene to obtain the actual coordinates of each WIFI probe;
s21: marking a specific target with each fixed position in an actual scene as a reference point on a CAD design drawing, and recording the position coordinates of the reference point;
s22: measuring the distance from each WIFI probe to a reference point by using a laser range finder in an actual scene;
s23: calculating the actual coordinate of each WIFI probe by using a triangulation method according to the coordinate of the reference point and the distance from the WIFI probe to the reference point, and importing the calculated actual coordinate of each WIFI probe into a CAD (computer-aided design) drawing of the WIFI probe to obtain a CAD completion drawing;
s3: measuring the distance between each WIFI probe and the UE terminal of the passenger according to the detected signal intensity of the UE terminal of the passenger;
s4: and calculating the position coordinates of the UE terminals of the passengers by utilizing a triangulation method according to the actual coordinates of each WIFI probe and the corresponding distance between each WIFI probe and the UE terminals of the passengers, obtaining the position information of the UE terminals of the passengers, and determining the position information as the positioning information.
For the CAD completion drawings and the passenger positioning information, please refer to the applicant's application numbers for the detailed principles: 2022109053121, having the application name: the invention discloses a method for determining a target position based on a WIFI probe, which is a Chinese invention patent and is not repeated herein.
Example 2
An AP probe multipoint positioning-based passenger violation path detection device comprises:
one or more processors;
a storage unit to store one or more programs that, when executed by the one or more processors, enable the one or more processors to implement the AP probe-multipoint location-based passenger violation path detection method.
Embodiment 3, a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, enables a passenger violation path detection method based on AP probe multipoint positioning.
While the invention has been described in connection with what is presently considered to be the most practical and preferred embodiment, it is to be understood that the invention is not to be limited to the disclosed embodiment, but on the contrary, is intended to cover various modifications, equivalent arrangements, and alternatives falling within the spirit and scope of the invention as defined by the appended claims.
Claims (7)
1. A passenger violation path detection method based on AP probe multipoint positioning is characterized by comprising the following steps:
s1, obtaining distribution information of a plurality of areas in a real-scene model of a subway station, wherein the plurality of areas comprise an in-station area, a communication area and an out-station area, and a communication area for communication is formed at a part adjacent between the in-station area and the out-station area;
s2, uninterruptedly obtaining positioning information of the same passenger in a live-action model of a subway station to form a positioning set of the passenger, wherein the positioning information comprises a positioning time point;
s3, connecting positioning information in a positioning set in the live-action model according to the sequence of time points to obtain the movement track of the passenger;
step S3 further includes: determining whether the passenger is in an access state;
when the positioning set comprises at least one piece of positioning information of a passenger in an in-station area, a communication area and an out-station area, judging that the passenger is in an in-out-station state, and obtaining a movement track of the passenger;
s4, judging whether the passenger getting-in and getting-out are in compliance or not according to the movement track of the passenger;
step S4 specifically includes the following steps:
and if the trajectories of all the moving trajectories of the passengers do not directly cross the trajectories between the in-station area and the out-station area, judging that the passengers enter and exit as the compliance.
2. The AP probe multipoint positioning-based passenger violation path detection method according to claim 1, wherein the plurality of areas are artificial configurable variable areas.
3. The AP probe multipoint positioning-based passenger violation path detection method according to claim 1, wherein the movement track of the passenger is a track formed by sequentially connecting positioning information according to the sequence of time points within a preset time period.
4. The AP probe multipoint positioning-based passenger violation path detection method according to claim 1, wherein the real-world model of the subway station is a pre-established real-world three-dimensional model, and the multiple regions are obtained by the following steps:
acquiring images acquired by cameras corresponding to all angles of a subway station at a preset time point;
according to the image, carrying out three-dimensional live-action BIM modeling, and updating a live-action three-dimensional model of the subway station;
and respectively obtaining the distribution information of the in-station area, the communication area and the out-station area according to the updated real-scene three-dimensional model of the subway station.
5. The AP probe multipoint positioning-based passenger violation path detection method according to claim 4, wherein the positioning information is obtained by the following steps:
the AP probe scans actual position information of a passenger in a station, which is obtained by a passenger UE terminal, and the actual position information is mapped in a real-scene three-dimensional model of the subway station according to the actual position information to obtain corresponding positioning information.
6. The AP probe multipoint positioning-based passenger violation path detection method according to claim 1, wherein the live-action model is a pre-established CAD as-built drawing of a subway station, and the positioning information is obtained by the following steps:
s1: marking initial coordinates of each WIFI probe on an initial CAD design drawing of a subway station, and installing the WIFI probes on site according to the marking construction of the CAD design drawing, wherein the CAD design drawing of the WIFI probe comprises the actual coordinates of a completed specific target in an actual scene;
s2: correcting the initial coordinates of each WIFI probe in an actual scene to obtain the actual coordinates of each WIFI probe;
s21: marking each specific target with a fixed and unchangeable position in an actual scene on a CAD design drawing as a reference point, and recording the position coordinates of the reference point;
s22: measuring the distance from each WIFI probe to a reference point by using a laser range finder in an actual scene;
s23: calculating the actual coordinate of each WIFI probe by using a triangulation method according to the coordinate of the reference point and the distance from the WIFI probe to the reference point, and importing the calculated actual coordinate of each WIFI probe into a CAD (computer aided design) drawing of the WIFI probe to obtain a CAD as-built drawing;
s3: measuring the distance between each WIFI probe and the UE terminal of the passenger according to the detected signal intensity of the UE terminal of the passenger;
s4: and calculating the position coordinates of the UE terminal of the passenger by using a triangulation method according to the actual coordinates of each WIFI probe and the distance between each corresponding WIFI probe and the UE terminal of the passenger, obtaining the position information of the UE terminal of the passenger, and determining the position information as the positioning information.
7. A passenger violation path detection device based on AP probe multipoint positioning is characterized by comprising:
one or more processors;
a storage unit for storing one or more programs which, when executed by the one or more processors, enable the one or more processors to implement a method of passenger violation path detection based on AP probe multi-point localization according to any of claims 1-6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211560001.2A CN115580830B (en) | 2022-12-07 | 2022-12-07 | Passenger violation path detection method and device based on AP probe multipoint positioning |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211560001.2A CN115580830B (en) | 2022-12-07 | 2022-12-07 | Passenger violation path detection method and device based on AP probe multipoint positioning |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115580830A CN115580830A (en) | 2023-01-06 |
| CN115580830B true CN115580830B (en) | 2023-03-10 |
Family
ID=84590467
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211560001.2A Active CN115580830B (en) | 2022-12-07 | 2022-12-07 | Passenger violation path detection method and device based on AP probe multipoint positioning |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115580830B (en) |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP2390845A1 (en) * | 2010-05-25 | 2011-11-30 | AEROPORTO VALERIO CATULLO DI VERONA VILLAFRANCA S.p.A. | Check-point apparatus to manage the access to restricted-acces areas |
| CN102710928A (en) * | 2011-10-09 | 2012-10-03 | 苏州元澄智能科技有限公司 | Subway closed circuit television monitoring method fusing RFID (radio frequency identification) |
| CN103327091A (en) * | 2013-06-17 | 2013-09-25 | 北京交通大学 | System and method for obtaining passenger track and behavioral parameter |
| CN106529815A (en) * | 2016-11-15 | 2017-03-22 | 同济大学 | Estimation method of passenger trip spatial-temporal trajectory of urban rail transit network and application thereof |
| CN108961767A (en) * | 2018-07-24 | 2018-12-07 | 河北德冠隆电子科技有限公司 | Highway inspection based on four-dimensional outdoor scene traffic simulation, which is pursued and captured an escaped prisoner, takes alarm system |
| CN109147272A (en) * | 2018-09-03 | 2019-01-04 | 国网天津市电力公司 | Line reminding method is got in violation of rules and regulations by substation based on ultra wide band UWB positioning |
| CN113766428A (en) * | 2020-06-01 | 2021-12-07 | 深圳先进技术研究院 | Urban public transport passenger travel track estimation method, system, terminal and storage medium |
| WO2021243516A1 (en) * | 2020-06-01 | 2021-12-09 | 深圳先进技术研究院 | Urban public transport passenger travel trajectory estimation method and system, terminal, and storage medium |
| CN114495514A (en) * | 2022-02-16 | 2022-05-13 | 中南大学 | Multi-source data collaborative vehicle illegal turning hot spot area identification method |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108665191B (en) * | 2018-06-05 | 2022-05-03 | 北方工业大学 | Subway station outside association area calculation method based on aggregation effect |
| CN111680638B (en) * | 2020-06-11 | 2020-12-29 | 深圳北斗应用技术研究院有限公司 | Passenger path identification method and passenger flow clearing method based on same |
-
2022
- 2022-12-07 CN CN202211560001.2A patent/CN115580830B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP2390845A1 (en) * | 2010-05-25 | 2011-11-30 | AEROPORTO VALERIO CATULLO DI VERONA VILLAFRANCA S.p.A. | Check-point apparatus to manage the access to restricted-acces areas |
| CN102710928A (en) * | 2011-10-09 | 2012-10-03 | 苏州元澄智能科技有限公司 | Subway closed circuit television monitoring method fusing RFID (radio frequency identification) |
| CN103327091A (en) * | 2013-06-17 | 2013-09-25 | 北京交通大学 | System and method for obtaining passenger track and behavioral parameter |
| CN106529815A (en) * | 2016-11-15 | 2017-03-22 | 同济大学 | Estimation method of passenger trip spatial-temporal trajectory of urban rail transit network and application thereof |
| CN108961767A (en) * | 2018-07-24 | 2018-12-07 | 河北德冠隆电子科技有限公司 | Highway inspection based on four-dimensional outdoor scene traffic simulation, which is pursued and captured an escaped prisoner, takes alarm system |
| CN109147272A (en) * | 2018-09-03 | 2019-01-04 | 国网天津市电力公司 | Line reminding method is got in violation of rules and regulations by substation based on ultra wide band UWB positioning |
| CN113766428A (en) * | 2020-06-01 | 2021-12-07 | 深圳先进技术研究院 | Urban public transport passenger travel track estimation method, system, terminal and storage medium |
| WO2021243516A1 (en) * | 2020-06-01 | 2021-12-09 | 深圳先进技术研究院 | Urban public transport passenger travel trajectory estimation method and system, terminal, and storage medium |
| CN114495514A (en) * | 2022-02-16 | 2022-05-13 | 中南大学 | Multi-source data collaborative vehicle illegal turning hot spot area identification method |
Non-Patent Citations (3)
| Title |
|---|
| 关于地铁安检及其组织形式问题的探讨;曾建平;《科技经济导刊》;20160715(第20期);全文 * |
| 基于WIFI数据的城市轨道交通乘客出行时空轨迹推定;李思杰等;《华东交通大学学报》;20170415(第02期);全文 * |
| 基于手机信令数据的地铁乘客路径识别研究;丁敬安等;《中国电子科学研究院学报》;20191120(第11期);全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN115580830A (en) | 2023-01-06 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107358149B (en) | Human body posture detection method and device | |
| US10417503B2 (en) | Image processing apparatus and image processing method | |
| US7409076B2 (en) | Methods and apparatus for automatically tracking moving entities entering and exiting a specified region | |
| CN109644255B (en) | Method and apparatus for annotating a video stream comprising a set of frames | |
| CN106951885A (en) | A kind of people flow rate statistical method based on video analysis | |
| CA3094424A1 (en) | Safety monitoring and early-warning method for man-machine interaction behavior of underground conveyor belt operator | |
| CN110516518A (en) | A kind of illegal manned detection method of non-motor vehicle, device and electronic equipment | |
| CN112071084A (en) | Method and system for judging illegal parking by utilizing deep learning | |
| CN115170792B (en) | Infrared image processing method, device and equipment and storage medium | |
| CN114882440A (en) | Human head detection method and system | |
| CN112016528A (en) | Behavior recognition method and device, electronic equipment and readable storage medium | |
| CN113255444A (en) | Training method of image recognition model, image recognition method and device | |
| CN112382068B (en) | Station waiting line crossing detection system based on BIM and DNN | |
| CN115580830B (en) | Passenger violation path detection method and device based on AP probe multipoint positioning | |
| CN117392611A (en) | Site safety monitoring method, system, equipment and storage medium | |
| JP6920949B2 (en) | Object distribution estimator | |
| JP6893812B2 (en) | Object detector | |
| CN113963318B (en) | People flow statistical method and device, electronic equipment and storage medium | |
| JP6851246B2 (en) | Object detector | |
| Zhao | Research on the application of OpenPose in escalator safety systems | |
| CN114495015A (en) | Human body posture detection method and device | |
| CN114898140A (en) | Behavior detection method and device based on PAA algorithm and readable medium | |
| CN113762096A (en) | Health code identification method and device, storage medium and electronic equipment | |
| CN114283364A (en) | Detection method and detection device for pet tether and electronic equipment | |
| CN112861711A (en) | Regional intrusion detection method and device, electronic equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |